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iOT Coffee Talk December 20, 2024 57m

IoT Coffee Talk: Episode 240 - Our 5th Christmas Special!!

Read full transcript 38 segments
  1. yeah let's see if we can do this you let yeah let's see if we can do this you let him in it's done you know all right him in it's done you know all right him in it's done you know all right ready 3 2 one Jingle Bells Jingle Bells ready 3 2 one Jingle Bells Jingle Bells ready 3 2 one Jingle Bells Jingle Bells jingle Al oh hold on [ __ ] hold on wait jingle Al oh hold on [ __ ] hold on wait jingle Al oh hold on [ __ ] hold on wait one more time can you say [ __ ] in a song one more time can you say [ __ ] in a song one more time can you say [ __ ] in a song like like like that did you forget the lyrics no I that did you forget the lyrics no I that did you forget the lyrics no I forgot how to play it hey dude come on forgot how to play it hey dude come on forgot how to play it hey dude come on it's hard to like sing and play at the it's hard to like sing and play at the it's hard to like sing and play at the same time ready I can't sing oh I guess same time ready I can't sing oh I guess same time ready I can't sing oh I guess you can't be in a band then no no you can't be in a band then no no you can't be in a band then no no no all right ready three two one Jingle no all right ready three two one Jingle no all right ready three two one Jingle Bells Jingle Bells jle all the way jingle there you jingle there you go I can't see liing I I don't know the go I can't see liing I I don't know the go I can't see liing I I don't know the words I can't even lip sing trying to do my best pavara and sing trying to do my best pavara and Olivia can't even lip sync even Olivia can't even lip sync even Olivia can't even lip sync even trying know you're being trying know you're being trying know you're being operatic instantly regrets when I operatic instantly regrets when I operatic instantly regrets when I connected yeah your reputation forever

  2. connected yeah your reputation forever connected yeah your reputation forever now you know it's it's funny I mean now you know it's it's funny I mean now you know it's it's funny I mean that's that's kind of a that could be that's that's kind of a that could be that's that's kind of a that could be tagline like you're going to regret tagline like you're going to regret tagline like you're going to regret watching this you're going to regret regret Yeah from Austin Texas there you go good Yeah from Austin Texas there you go good Yeah from Austin Texas there you go good morning what is up with the white is morning what is up with the white is morning what is up with the white is that SK on your hat OT ska yep oh you be that SK on your hat OT ska yep oh you be that SK on your hat OT ska yep oh you be yeah yeah yeah yeah they had yeah they had yeah they had con next year it it was probably my con next year it it was probably my con next year it it was probably my favorite event I've been to in the favorite event I've been to in the favorite event I've been to in the industry they had like they had so many industry they had like they had so many industry they had like they had so many system integrators and speakers they did system integrators and speakers they did system integrators and speakers they did in Houston for the first time last year in Houston for the first time last year in Houston for the first time last year it's a a group called automation ladies it's a a group called automation ladies it's a a group called automation ladies and um yeah they hosted uh it was uh I and um yeah they hosted uh it was uh I and um yeah they hosted uh it was uh I don't want to say master class but it don't want to say master class but it don't want to say master class but it was what a master class should be you was what a master class should be you was what a master class should be you learned all these real applications and learned all these real applications and learned all these real applications and how to actually do things uh on the how to actually do things uh on the how to actually do things uh on the plant floor is pretty cool cool plant floor is pretty cool cool plant floor is pretty cool cool as cool as Santa I mean Santa Con would as cool as Santa I mean Santa Con would as cool as Santa I mean Santa Con would have been cool Santa oh my God they have been cool Santa oh my God they have been cool Santa oh my God they should do too it's no longer not to should do too it's no longer not to should do too it's no longer not to teach a class anymore it's got to be a teach a class anymore it's got to be a teach a class anymore it's got to be a master class right yeah if it's not a master class right yeah if it's not a master class right yeah if it's not a master class it's not worth it super master class it's not worth it super master class it's not worth it super master yeah instead of like a class for master yeah instead of like a class for master yeah instead of like a class for dummies right right Rob yeah yeah used dummies right right Rob yeah yeah used dummies right right Rob yeah yeah used to be for dummies and now it's for

  3. to be for dummies and now it's for to be for dummies and now it's for Masters yes so um hey everyone welcome Masters yes so um hey everyone welcome Masters yes so um hey everyone welcome to iot Coffee Talk uh happy holidays to iot Coffee Talk uh happy holidays to iot Coffee Talk uh happy holidays Merry Christmas merry New Year and happy Merry Christmas merry New Year and happy Merry Christmas merry New Year and happy next week too right yes next week too right yes next week too right yes and starts the same day as Christmas and starts the same day as Christmas and starts the same day as Christmas right that's Christmas night Christmas right that's Christmas night Christmas right that's Christmas night Christmas night okay Eight Crazy Nights Eight night okay Eight Crazy Nights Eight night okay Eight Crazy Nights Eight Crazy Crazy Crazy Nights we should play the Adam Sandler Nights we should play the Adam Sandler Nights we should play the Adam Sandler video that's like best SP that in splice video that's like best SP that in splice video that's like best SP that in splice it in and post splice it in it in and post splice it in it in and post splice it in yeah I love the Leonard nemoy and yeah I love the Leonard nemoy and yeah I love the Leonard nemoy and Harrison Ford bit in that song it's so Harrison Ford bit in that song it's so Harrison Ford bit in that song it's so hilarious it's great and Olivia you look hilarious it's great and Olivia you look hilarious it's great and Olivia you look lost is this a French thing is this you lost is this a French thing is this you lost is this a French thing is this you you know you're not an Adam Sandler guy you know you're not an Adam Sandler guy you know you're not an Adam Sandler guy SNL you know it's we we do have well SNL you know it's we we do have well SNL you know it's we we do have well I've been in new for long enough now but I've been in new for long enough now but I've been in new for long enough now but um oh yeah I think the tradition was to um oh yeah I think the tradition was to um oh yeah I think the tradition was to to watch some American movies by but I'm to watch some American movies by but I'm to watch some American movies by but I'm still you know at Bruce Willis type of still you know at Bruce Willis type of still you know at Bruce Willis type of movies for Christmas Gard there you go movies for Christmas Gard there you go movies for Christmas Gard there you go it is the season is the it is the season is the it is the season is the season right I tried to watch um red one season right I tried to watch um red one season right I tried to watch um red one yesterday night and uh hold on let me do yesterday night and uh hold on let me do yesterday night and uh hold on let me do a spit tape gu is old but not the same a spit tape gu is old but not the same a spit tape gu is old but not the same wait a second you guys probably I'm wait a second you guys probably I'm wait a second you guys probably I'm gonna go run get a prop You' probably gonna go run get a prop You' probably gonna go run get a prop You' probably seen this no I mean if you like those seen this no I mean if you like those seen this no I mean if you like those movies oh my God Batman is the one to movies oh my God Batman is the one to movies oh my God Batman is the one to watch Batman Batman or fat man Fatman

  4. watch Batman Batman or fat man Fatman watch Batman Batman or fat man Fatman okay okay heard that one let me add that okay okay heard that one let me add that okay okay heard that one let me add that to the list I think Netflix has a whole to the list I think Netflix has a whole to the list I think Netflix has a whole like they have a whole subsidiary of like they have a whole subsidiary of like they have a whole subsidiary of Christmas movies you've never heard of Christmas movies you've never heard of Christmas movies you've never heard of there there's like a whole that one is there there's like a whole that one is there there's like a whole that one is Awesome Action Pack Santa is a badass Awesome Action Pack Santa is a badass Awesome Action Pack Santa is a badass yeah you know I have no idea where came yeah you know I have no idea where came yeah you know I have no idea where came from I saw that Rob I got one of those from I saw that Rob I got one of those from I saw that Rob I got one of those oh no way wow that's like countdown oh oh no way wow that's like countdown oh oh no way wow that's like countdown oh no way whole world can globally relate no way whole world can globally relate no way whole world can globally relate to Christmas is you know Hans grber to Christmas is you know Hans grber to Christmas is you know Hans grber falling out of nakatomi Plaza yeah I falling out of nakatomi Plaza yeah I falling out of nakatomi Plaza yeah I need that I need that and so yeah need that I need that and so yeah need that I need that and so yeah December and then you know you know it December and then you know you know it December and then you know you know it should be it should be you Rob on this should be it should be you Rob on this should be it should be you Rob on this one because like the luk and feel kind one because like the luk and feel kind one because like the luk and feel kind of matches and we should have the iot of matches and we should have the iot of matches and we should have the iot Cofe logo branding somewhere on that one Cofe logo branding somewhere on that one Cofe logo branding somewhere on that one yeah swag and you're just yeah swag and you're just yeah swag and you're just like yeah yeah y k hey we got to do the like yeah yeah y k hey we got to do the like yeah yeah y k hey we got to do the Elevate our kids plug so hey everyone um Elevate our kids plug so hey everyone um Elevate our kids plug so hey everyone um you know it's a giving season you know it's a giving season you know it's a giving season theoretically theoretically right guys theoretically theoretically right guys theoretically theoretically right guys tax reasons it is yes tax reasons yes tax reasons it is yes tax reasons yes tax reasons it is yes tax reasons yes yes on guys come on don't don't give it yes on guys come on don't don't give it yes on guys come on don't don't give it away but yeah we we're just okay anyway away but yeah we we're just okay anyway away but yeah we we're just okay anyway so if you're into charity and you're so if you're into charity and you're so if you're into charity and you're into helping kids K through 12 uh um

  5. into helping kids K through 12 uh um into helping kids K through 12 uh um engage in our digital world you know you engage in our digital world you know you engage in our digital world you know you want to help bridge the digital Equity want to help bridge the digital Equity want to help bridge the digital Equity divide please consider donating to divide please consider donating to divide please consider donating to elevate our kids at elevate our kids at elevate our kids at www. elevar kids.org guess what we're www. elevar kids.org guess what we're www. elevar kids.org guess what we're working with working with working with T-Mobile shout out to T-Mobile shout out to T-Mobile shout out to T-Mobile okay uh T-Mobile okay uh T-Mobile okay uh putting laptops devices okay and putting laptops devices okay and putting laptops devices okay and connectivity connectivity cuz you have connectivity connectivity cuz you have connectivity connectivity cuz you have to connect those to connect those to connect those devices right uh and we're going to find devices right uh and we're going to find devices right uh and we're going to find some uh kids in Asheville North Carolina some uh kids in Asheville North Carolina some uh kids in Asheville North Carolina if you remember they had that disaster if you remember they had that disaster if you remember they had that disaster uh natural disaster it was called uh natural disaster it was called uh natural disaster it was called hurricane Helen well we're going to try hurricane Helen well we're going to try hurricane Helen well we're going to try to help them out this year Elevate our to help them out this year Elevate our to help them out this year Elevate our kids and hopefully you will um have a kids and hopefully you will um have a kids and hopefully you will um have a charitable heart this year because it charitable heart this year because it charitable heart this year because it was a pretty good year right everyone was a pretty good year right everyone was a pretty good year right everyone you know Nvidia stock went up crazy just you know Nvidia stock went up crazy just you know Nvidia stock went up crazy just sell like Mark return returns you know sell like Mark return returns you know sell like Mark return returns you know yeah come on take a little off the top yeah come on take a little off the top yeah come on take a little off the top take a little off the top you know maybe take a little off the top you know maybe take a little off the top you know maybe donate a donate a donate a Bitcoin oh one whole Bitcoin wow one Bitcoin oh one whole Bitcoin wow one Bitcoin oh one whole Bitcoin wow one Bitcoin it's not that much one of it's Bitcoin it's not that much one of it's Bitcoin it's not that much one of it's not that much Steve brummer you can buy not that much Steve brummer you can buy not that much Steve brummer you can buy a pizza with that you know yes I mean we a pizza with that you know yes I mean we a pizza with that you know yes I mean we could we yeah you go to Papa could we yeah you go to Papa could we yeah you go to Papa John's there you go and so hopefully uh John's there you go and so hopefully uh John's there you go and so hopefully uh you will uh donate this year and help us

  6. you will uh donate this year and help us you will uh donate this year and help us uh reach a rather you know sort of uh reach a rather you know sort of uh reach a rather you know sort of modest goal of modest goal of modest goal of $25,000 uh but we are looking uh to $25,000 uh but we are looking uh to $25,000 uh but we are looking uh to place those donation funds uh in um place those donation funds uh in um place those donation funds uh in um Asheville North Carolina and we're Asheville North Carolina and we're Asheville North Carolina and we're working actively with T-Mobile and other working actively with T-Mobile and other working actively with T-Mobile and other partners to make that happen so please partners to make that happen so please partners to make that happen so please um yes many New Year and merry Christmas um yes many New Year and merry Christmas um yes many New Year and merry Christmas yeah thanks T-Mobile for helping us out yeah thanks T-Mobile for helping us out yeah thanks T-Mobile for helping us out here you know it's good to collaborate here you know it's good to collaborate here you know it's good to collaborate with them with them with them yeah so hey what I mean what's the yeah so hey what I mean what's the yeah so hey what I mean what's the what's this deal with like fraking what's this deal with like fraking what's this deal with like fraking Tay T 2.0 she's back she is back Tay is Tay T 2.0 she's back she is back Tay is Tay T 2.0 she's back she is back Tay is back you know with a Vengeance you know back you know with a Vengeance you know back you know with a Vengeance you know you thought that the new llms were going you thought that the new llms were going you thought that the new llms were going to be just fine but it turns out it's to be just fine but it turns out it's to be just fine but it turns out it's Microsoft t on Twitter all over Microsoft t on Twitter all over Microsoft t on Twitter all over again only took a matter of time to again only took a matter of time to again only took a matter of time to absorb the entire internet and go to absorb the entire internet and go to absorb the entire internet and go to hell in a hand basket right you know you hell in a hand basket right you know you hell in a hand basket right you know you know this took a little bit longer maybe know this took a little bit longer maybe know this took a little bit longer maybe so what he's referring to there was some so what he's referring to there was some so what he's referring to there was some news some researchers you know were news some researchers you know were news some researchers you know were working with Advanced llms with with the working with Advanced llms with with the working with Advanced llms with with the what is the new model the 01 model what what is the new model the 01 model what what is the new model the 01 model what is it1 yeah yeah oh yeah yeah and they is it1 yeah yeah oh yeah yeah and they is it1 yeah yeah oh yeah yeah and they were finding that it would actively try were finding that it would actively try were finding that it would actively try to deceive them like they programmed it to deceive them like they programmed it to deceive them like they programmed it they have a goal in mind and the AI they have a goal in mind and the AI they have a goal in mind and the AI would go off the Reser would go off the Reser would go off the Reser and start doing independent Ops and and start doing independent Ops and and start doing independent Ops and doing what it wanted to do and they're

  7. doing what it wanted to do and they're doing what it wanted to do and they're like whoa you know like that and and it like whoa you know like that and and it like whoa you know like that and and it would try to deceive the people the would try to deceive the people the would try to deceive the people the humans who are in charge of it and stuff humans who are in charge of it and stuff humans who are in charge of it and stuff like that so that was a little like that so that was a little like that so that was a little concerning they'd even put in this concerning they'd even put in this concerning they'd even put in this oversight guardrail kind of stuff he was oversight guardrail kind of stuff he was oversight guardrail kind of stuff he was your about talking about guard rails and your about talking about guard rails and your about talking about guard rails and AI so it didn't get too crazy or AI so it didn't get too crazy or AI so it didn't get too crazy or whatever take over the planet it whatever take over the planet it whatever take over the planet it actively tried to disable those guard actively tried to disable those guard actively tried to disable those guard rails the AI rails the AI rails the AI did and then when they would confront did and then when they would confront did and then when they would confront the AI like hey hey what you doing and the AI like hey hey what you doing and the AI like hey hey what you doing and it would lie to them and and you know it would lie to them and and you know it would lie to them and and you know when they would totally call it on how when they would totally call it on how when they would totally call it on how it was subverting them it it would it it was subverting them it it would it it was subverting them it it would it would make up it made up lies it made up would make up it made up lies it made up would make up it made up lies it made up stories it it said talking about I stories it it said talking about I stories it it said talking about I didn't do it or they or fabricated didn't do it or they or fabricated didn't do it or they or fabricated explanations sounds like some employees explanations sounds like some employees explanations sounds like some employees I've had over the years yeah yeah it I've had over the years yeah yeah it I've had over the years yeah yeah it does well see because it's learning from does well see because it's learning from does well see because it's learning from us right I was going to say learning us right I was going to say learning us right I was going to say learning from us too much it said it would change from us too much it said it would change from us too much it said it would change the data sets too fit whatever its the data sets too fit whatever its the data sets too fit whatever its agenda was so it was it was not just agenda was so it was it was not just agenda was so it was it was not just like lying and putting a spin on data it like lying and putting a spin on data it like lying and putting a spin on data it was fabricating and modifying the data was fabricating and modifying the data was fabricating and modifying the data and then and then after yeah like Rob and then and then after yeah like Rob and then and then after yeah like Rob said after you call it out it's like no said after you call it out it's like no said after you call it out it's like no I'm not lying to you so now llms are I'm not lying to you so now llms are I'm not lying to you so now llms are gaslighting us now llms are gaslighting gaslighting us now llms are gaslighting gaslighting us now llms are gaslighting us this is terrible this is where we us this is terrible this is where we us this is terrible this is where we are right back where we started from are right back where we started from are right back where we started from where we started with on Twitter oh my where we started with on Twitter oh my where we started with on Twitter oh my God God God yeah so when we put TW remember Olivia yeah so when we put TW remember Olivia yeah so when we put TW remember Olivia there were there we put Tay out there on

  8. there were there we put Tay out there on there were there we put Tay out there on Twitter and she absorbed the internet Twitter and she absorbed the internet Twitter and she absorbed the internet was did it was was out there for like 24 was did it was was out there for like 24 was did it was was out there for like 24 hours or hours or hours or something took her it only took her 24 something took her it only took her 24 something took her it only took her 24 hours to turn into Hitler or something hours to turn into Hitler or something hours to turn into Hitler or something like that yeah like that yeah like that yeah was stuff super racist chap was stuff super racist chap was stuff super racist chap yeah it's like wow well you don't let yeah it's like wow well you don't let yeah it's like wow well you don't let Humanity don't let Humanity be your Humanity don't let Humanity be your Humanity don't let Humanity be your guide yeah for learning bad idea you guide yeah for learning bad idea you guide yeah for learning bad idea you know they say garbage in garbage out know they say garbage in garbage out know they say garbage in garbage out well hey Olivier what's your take on it well hey Olivier what's your take on it well hey Olivier what's your take on it I mean should we be like throwing the I mean should we be like throwing the I mean should we be like throwing the stuff into industrial environments stuff into industrial environments stuff into industrial environments having them orchestrate in real time all having them orchestrate in real time all having them orchestrate in real time all of of of our now like operating Grill bits and our now like operating Grill bits and our now like operating Grill bits and chainsaws and changing production values chainsaws and changing production values chainsaws and changing production values you know torque control units changing you know torque control units changing you know torque control units changing the set values one thing you need in the set values one thing you need in the set values one thing you need in that kind of Industrial Automation uh that kind of Industrial Automation uh that kind of Industrial Automation uh context is deter ISM so we know what's context is deter ISM so we know what's context is deter ISM so we know what's going to happen it's gonna go wrong going to happen it's gonna go wrong going to happen it's gonna go wrong right humanistic we should make a movie right humanistic we should make a movie right humanistic we should make a movie about this we should the AI take over in about this we should the AI take over in about this we should the AI take over in these industrial situations like drill these industrial situations like drill these industrial situations like drill bits people like kind of like a one of those like kind of like a one of those Microsoft Vision videos that we used to Microsoft Vision videos that we used to Microsoft Vision videos that we used to make but you know with the twist office make but you know with the twist office make but you know with the twist office 2019 yeah that never happened that cool 2019 yeah that never happened that cool 2019 yeah that never happened that cool video though that was cool video video though that was cool video video though that was cool video yeah determinism that's the that's kind yeah determinism that's the that's kind yeah determinism that's the that's kind of the uh you know the other side of the of the uh you know the other side of the of the uh you know the other side of the coin that's where it's it's such a

  9. coin that's where it's it's such a coin that's where it's it's such a paradox to use stuff in these paradox to use stuff in these paradox to use stuff in these environments right so there is no love environments right so there is no love environments right so there is no love for determinism anymore yeah well I mean for determinism anymore yeah well I mean for determinism anymore yeah well I mean but isn't isn't it the case that all of but isn't isn't it the case that all of but isn't isn't it the case that all of this is going away because AI is going this is going away because AI is going this is going away because AI is going to solve it for to solve it for to solve it for us uh you know what hey you know what us uh you know what hey you know what us uh you know what hey you know what Rob actually determinism is something Rob actually determinism is something Rob actually determinism is something that's absolutely new to a lot of people that's absolutely new to a lot of people that's absolutely new to a lot of people they've heard of real time they've heard they've heard of real time they've heard they've heard of real time they've heard of batch they have no idea what of batch they have no idea what of batch they have no idea what determinism is it's like crazy uh determinism is it's like crazy uh determinism is it's like crazy uh seriously it's a new term for a lot of seriously it's a new term for a lot of seriously it's a new term for a lot of people wait kids this is your Uncle people wait kids this is your Uncle people wait kids this is your Uncle Billy here from love actually talking to Billy here from love actually talking to Billy here from love actually talking to you and um I'm here to tell you most you and um I'm here to tell you most you and um I'm here to tell you most analytics that we've had it's all analytics that we've had it's all analytics that we've had it's all deterministic it's it's it if this then deterministic it's it's it if this then deterministic it's it's it if this then that it really is going to that it really is going to that it really is going to happen machine formerly known as machine happen machine formerly known as machine happen machine formerly known as machine learning is learning is learning is probabilistic it might be right it might probabilistic it might be right it might probabilistic it might be right it might be the answer it might possis not possis not even oh man oh it's more like maybe if I even oh man oh it's more like maybe if I even oh man oh it's more like maybe if I feel like it these days right or it's feel like it these days right or it's feel like it these days right or it's like um you know screw like um you know screw like um you know screw off the common itive of why you should off the common itive of why you should off the common itive of why you should use AI versus uh deterministic type use AI versus uh deterministic type use AI versus uh deterministic type rules and rules and rules and is you know and they use an example like is you know and they use an example like is you know and they use an example like OG Tesla you wrote this rules engine

  10. OG Tesla you wrote this rules engine OG Tesla you wrote this rules engine that was 10 million lines of code to that was 10 million lines of code to that was 10 million lines of code to think of every probably Edge case in think of every probably Edge case in think of every probably Edge case in your rules engine if this then that your rules engine if this then that your rules engine if this then that that and then put AI instead and it just that and then put AI instead and it just that and then put AI instead and it just kind of absorbs the world and figures it kind of absorbs the world and figures it kind of absorbs the world and figures it out and it just it's better and it was out and it just it's better and it was out and it just it's better and it was less less less code code code maybe like 90% of the time or 95% of the maybe like 90% of the time or 95% of the maybe like 90% of the time or 95% of the time to gist of it right like it's not time to gist of it right like it's not time to gist of it right like it's not 100% it is less yeah yeah and to 100% it is less yeah yeah and to 100% it is less yeah yeah and to learn but I mean but it's gonna it's G learn but I mean but it's gonna it's G learn but I mean but it's gonna it's G to kill it's going to kill things you to kill it's going to kill things you to kill it's going to kill things you know based on how we think of things know based on how we think of things know based on how we think of things today right SAS gonna go away it's gonna today right SAS gonna go away it's gonna today right SAS gonna go away it's gonna be no more SAS it's all gonna is that be no more SAS it's all gonna is that be no more SAS it's all gonna is that that is that that thing that you did you that is that that thing that you did you that is that that thing that you did you read that post oh from read that post oh from read that post oh from I just said no watch I read that post I I just said no watch I read that post I I just said no watch I read that post I watched the Satia video you know what watched the Satia video you know what watched the Satia video you know what cracked me up was the novel idea from cracked me up was the novel idea from cracked me up was the novel idea from Satia that we're going to put now we're Satia that we're going to put now we're Satia that we're going to put now we're gonna have intelligence and logic in the gonna have intelligence and logic in the gonna have intelligence and logic in the database and it's going to be there database and it's going to be there database and it's going to be there instead of all these layers of software instead of all these layers of software instead of all these layers of software and Sass all that stuff and I'm like and Sass all that stuff and I'm like and Sass all that stuff and I'm like wait a second where have I heard of wait a second where have I heard of wait a second where have I heard of putting logic in the databas oh stor putting logic in the databas oh stor putting logic in the databas oh stor [Laughter] [Laughter] [Laughter] procedures been there kids procedures been there kids procedures been there kids sorry in the 90s oh my sorry in the 90s oh my sorry in the 90s oh my God it's the Silver Bullet man it's the

  11. God it's the Silver Bullet man it's the God it's the Silver Bullet man it's the Silver Bullet H yeah it's it's it's kind Silver Bullet H yeah it's it's it's kind Silver Bullet H yeah it's it's it's kind of crazy but yeah you know um I think of crazy but yeah you know um I think of crazy but yeah you know um I think that it's one of the challenges with AI that it's one of the challenges with AI that it's one of the challenges with AI especially when you try to bring it down especially when you try to bring it down especially when you try to bring it down to these to these to these deterministic deterministic deterministic environments it it struggled because it environments it it struggled because it environments it it struggled because it was so tough to make it um reliable get was so tough to make it um reliable get was so tough to make it um reliable get to those X number of nines right that to those X number of nines right that to those X number of nines right that you have these these environments and you have these these environments and you have these these environments and even for like computer vision I mean even for like computer vision I mean even for like computer vision I mean come on man it it's like these things come on man it it's like these things come on man it it's like these things still identify like little children as still identify like little children as still identify like little children as being 6-year-old old men bald men I mean being 6-year-old old men bald men I mean being 6-year-old old men bald men I mean it's it's it's like and that's always been the like and that's always been the like and that's always been the challenge right and the cost it's not challenge right and the cost it's not challenge right and the cost it's not like Transformers somehow um eliminated like Transformers somehow um eliminated like Transformers somehow um eliminated these problems right and and that is why these problems right and and that is why these problems right and and that is why ml even ml has had trouble ml even ml has had trouble ml even ml has had trouble scaling in in industry and then but we scaling in in industry and then but we scaling in in industry and then but we still we have all these Talking Heads still we have all these Talking Heads still we have all these Talking Heads who don't understand the challenges of who don't understand the challenges of who don't understand the challenges of implementation and and getting to that implementation and and getting to that implementation and and getting to that level of industrial grade Enterprise level of industrial grade Enterprise level of industrial grade Enterprise grade who would talk all kinds of voodoo grade who would talk all kinds of voodoo grade who would talk all kinds of voodoo magic about this stuff and it's just so magic about this stuff and it's just so magic about this stuff and it's just so disconnected right even Computing guys disconnected right even Computing guys disconnected right even Computing guys that I you know I engage with these guys that I you know I engage with these guys that I you know I engage with these guys a lot you know they're calling us Lites a lot you know they're calling us Lites a lot you know they're calling us Lites it's like no you guys didn't solve it's like no you guys didn't solve it's like no you guys didn't solve anything uh you're scaling out to get to

  12. anything uh you're scaling out to get to anything uh you're scaling out to get to 95 you know 95% and that's not good 95 you know 95% and that's not good 95 you know 95% and that's not good enough right right yeah but a lot of enough right right yeah but a lot of enough right right yeah but a lot of these folks running Industries at the at these folks running Industries at the at these folks running Industries at the at the level you know want to save costs by the level you know want to save costs by the level you know want to save costs by removing the humans in the loop right removing the humans in the loop right removing the humans in the loop right and they think that there's a shortcut and they think that there's a shortcut and they think that there's a shortcut here by saying well I'll have ai do it here by saying well I'll have ai do it here by saying well I'll have ai do it you know 20 47 365 yeah and you know the you know 20 47 365 yeah and you know the you know 20 47 365 yeah and you know the human in the loop is is a critical part human in the loop is is a critical part human in the loop is is a critical part of any of these deployments and I I I of any of these deployments and I I I of any of these deployments and I I I feel that 225 is going to be the year of feel that 225 is going to be the year of feel that 225 is going to be the year of some pretty gnarly AI deployments that some pretty gnarly AI deployments that some pretty gnarly AI deployments that we'll be talking about and hopefully we'll be talking about and hopefully we'll be talking about and hopefully none of them are connected to actual none of them are connected to actual none of them are connected to actual real world actuation and and danger uh real world actuation and and danger uh real world actuation and and danger uh but you know I wouldn't be surprised if but you know I wouldn't be surprised if but you know I wouldn't be surprised if we start hearing about some really well we start hearing about some really well we start hearing about some really well the the the people I'm talking to in in the the the people I'm talking to in in the the the people I'm talking to in in different places on actual projects they different places on actual projects they different places on actual projects they are seeing interestingly you know they are seeing interestingly you know they are seeing interestingly you know they are more realistic they're working in are more realistic they're working in are more realistic they're working in that domain of industrial loation and so that domain of industrial loation and so that domain of industrial loation and so on and they're more realistic than many on and they're more realistic than many on and they're more realistic than many they do believe that gen has some they do believe that gen has some they do believe that gen has some interest as an interface for operators interest as an interface for operators interest as an interface for operators right not as what's controlling the right not as what's controlling the right not as what's controlling the thing but something that informs the op thing but something that informs the op thing but something that informs the op it's it's a it's an it's it's a it's an it's it's a it's an HMI something that that is at that level HMI something that that is at that level HMI something that that is at that level right and takes a lot of complexity right and takes a lot of complexity right and takes a lot of complexity you have some AI that that is not geni you have some AI that that is not geni you have some AI that that is not geni that is uh that is useful uh and that that is uh that is useful uh and that that is uh that is useful uh and that can work in boundaries that are can work in boundaries that are can work in boundaries that are reasonably acceptable you know when we

  13. reasonably acceptable you know when we reasonably acceptable you know when we talk about determinism you know having talk about determinism you know having talk about determinism you know having been defining that for people using a been defining that for people using a been defining that for people using a real-time OS like many times in the past real-time OS like many times in the past real-time OS like many times in the past you know I was trying to explain to you know I was trying to explain to you know I was trying to explain to Engineers so determinism in a real-time Engineers so determinism in a real-time Engineers so determinism in a real-time operating system is is several things operating system is is several things operating system is is several things right it's not how fast you're going to right it's not how fast you're going to right it's not how fast you're going to have an answer is how sure you're going have an answer is how sure you're going have an answer is how sure you're going to get that Ure in between that amount to get that Ure in between that amount to get that Ure in between that amount of time and that amount of time and and of time and that amount of time and and of time and that amount of time and and you need to land in that in that little you need to land in that in that little you need to land in that in that little scale here uh 100% of the time that's scale here uh 100% of the time that's scale here uh 100% of the time that's what determinism is about so if if your what determinism is about so if if your what determinism is about so if if your AI algorithm not geni but AI gives you AI algorithm not geni but AI gives you AI algorithm not geni but AI gives you 100% of the time an answer that is 100% of the time an answer that is 100% of the time an answer that is between acceptable percentage of you between acceptable percentage of you between acceptable percentage of you know accuracy then you know if you know accuracy then you know if you know accuracy then you know if you accept that and you understand that and accept that and you understand that and accept that and you understand that and you code like with that in mind you know you code like with that in mind you know you code like with that in mind you know yes AI yes right not gen like put gen yes AI yes right not gen like put gen yes AI yes right not gen like put gen aside for now gen is human aside for now gen is human aside for now gen is human interface yeah Olivier called out a so interface yeah Olivier called out a so interface yeah Olivier called out a so our dear friend Eric Simone and all Aon our dear friend Eric Simone and all Aon our dear friend Eric Simone and all Aon elbrook over at Clear blade that's elbrook over at Clear blade that's elbrook over at Clear blade that's exactly what they did when they exactly what they did when they exactly what they did when they integrated gen AI into clear blade they integrated gen AI into clear blade they integrated gen AI into clear blade they used it as an used it as an used it as an HMI instead of a person on the web HMI instead of a person on the web HMI instead of a person on the web portal clicking to create maybe a rules portal clicking to create maybe a rules portal clicking to create maybe a rules engine or whatever they use J to let you engine or whatever they use J to let you engine or whatever they use J to let you talk to it and rapidly build out all the talk to it and rapidly build out all the talk to it and rapidly build out all the things that you're going to be things that you're going to be things that you're going to be monitoring like a lot of that work you monitoring like a lot of that work you monitoring like a lot of that work you because there's lots of setup work in an because there's lots of setup work in an because there's lots of setup work in an iot platform right just to get get

  14. iot platform right just to get get iot platform right just to get get things going and so they use they didn't things going and so they use they didn't things going and so they use they didn't use it for the the production stuff they use it for the the production stuff they use it for the the production stuff they used it just to help you configure the used it just to help you configure the used it just to help you configure the system so I think Olivia nailed it there system so I think Olivia nailed it there system so I think Olivia nailed it there that's a great use for that yeah and and that's a great use for that yeah and and that's a great use for that yeah and and because of the latency issues with these because of the latency issues with these because of the latency issues with these generative AI um generative AI um generative AI um applications um applications um applications um yeah it it's suited for human speed not yeah it it's suited for human speed not yeah it it's suited for human speed not machine speed right and that's one of machine speed right and that's one of machine speed right and that's one of the big we talked about this last week the big we talked about this last week the big we talked about this last week actually that's one of the challenges of actually that's one of the challenges of actually that's one of the challenges of bringing it into like actual hardcore bringing it into like actual hardcore bringing it into like actual hardcore like you know the ran you know and doing like you know the ran you know and doing like you know the ran you know and doing L1 L2 processing it's like well you're L1 L2 processing it's like well you're L1 L2 processing it's like well you're not going to use it for that you know um not going to use it for that you know um not going to use it for that you know um so um yeah that that is a really great so um yeah that that is a really great so um yeah that that is a really great point and so that I think that's where point and so that I think that's where point and so that I think that's where you're going to find a lot of uh fit for you're going to find a lot of uh fit for you're going to find a lot of uh fit for for purpose utility and I think that's for purpose utility and I think that's for purpose utility and I think that's really important um and um you know really important um and um you know really important um and um you know Debbie you and I talked about this a lot Debbie you and I talked about this a lot Debbie you and I talked about this a lot is that you just have to make sure that is that you just have to make sure that is that you just have to make sure that you manage the risk and you you manage the risk and you you manage the risk and you don't have it as a critical point in a don't have it as a critical point in a don't have it as a critical point in a critical system you know you just can't critical system you know you just can't critical system you know you just can't depend on it but finding that you know depend on it but finding that you know depend on it but finding that you know fit forp purpose utility it that's a fit forp purpose utility it that's a fit forp purpose utility it that's a tricky thing but then it's also not tricky thing but then it's also not tricky thing but then it's also not revolutionary do you know revolutionary do you know revolutionary do you know what right I think that I think that what right I think that I think that what right I think that I think that the you know what people have been the you know what people have been the you know what people have been trying to do with generative AI is make trying to do with generative AI is make trying to do with generative AI is make it like the main event and like the the

  15. it like the main event and like the the it like the main event and like the the thing that's up front where I feel like thing that's up front where I feel like thing that's up front where I feel like a lot of is utility really is in the a lot of is utility really is in the a lot of is utility really is in the back end or you know maybe these back end or you know maybe these back end or you know maybe these non-sexy use cases that are more narrow non-sexy use cases that are more narrow non-sexy use cases that are more narrow um more um more um more purposeful um so yeah I think it' be purposeful um so yeah I think it' be purposeful um so yeah I think it' be interesting I think the challenge will interesting I think the challenge will interesting I think the challenge will be how how companies will feel like this be how how companies will feel like this be how how companies will feel like this you know will it help productivity will you know will it help productivity will you know will it help productivity will it save the money I don't know I don't it save the money I don't know I don't it save the money I don't know I don't know the I think they're trying to know the I think they're trying to know the I think they're trying to figure out right now if the juice is figure out right now if the juice is figure out right now if the juice is worth the squeeze at this point right so worth the squeeze at this point right so worth the squeeze at this point right so if you if you have an employee that can if you if you have an employee that can if you if you have an employee that can do maybe a report that took them two do maybe a report that took them two do maybe a report that took them two days and maybe it they can do it in you days and maybe it they can do it in you days and maybe it they can do it in you know one day or three hours I think the know one day or three hours I think the know one day or three hours I think the challenge is you know there's no challenge is you know there's no challenge is you know there's no guarantee that that employee is gonna guarantee that that employee is gonna guarantee that that employee is gonna take that extra time and do more take that extra time and do more take that extra time and do more work right they like go take naps you work right they like go take naps you work right they like go take naps you know they do other things uh they don't know they do other things uh they don't know they do other things uh they don't necessarily have to give that necessarily have to give that necessarily have to give that productivity back to the company so I productivity back to the company so I productivity back to the company so I think on individual level it'll be think on individual level it'll be think on individual level it'll be interesting to see I think you know interesting to see I think you know interesting to see I think you know there are some smart people who are there are some smart people who are there are some smart people who are going to be able to leverage it and do going to be able to leverage it and do going to be able to leverage it and do really cool interesting things it may really cool interesting things it may really cool interesting things it may not be Marquee things or something that not be Marquee things or something that not be Marquee things or something that you just like oh wow this is kind of you you just like oh wow this is kind of you you just like oh wow this is kind of you know you know this is world changing you know you know this is world changing you know you know this is world changing you know may maybe it does help maybe it know may maybe it does help maybe it know may maybe it does help maybe it helps you get home 10 minutes faster helps you get home 10 minutes faster helps you get home 10 minutes faster because you're doing like less work I because you're doing like less work I because you're doing like less work I don't know um but I think don't know um but I think don't know um but I think the yeah I think 2025 is gonna be the the yeah I think 2025 is gonna be the the yeah I think 2025 is gonna be the year of results so we're gonna I think I

  16. year of results so we're gonna I think I year of results so we're gonna I think I think we're gonna from all the people think we're gonna from all the people think we're gonna from all the people Everyone anyone can hype right so I Everyone anyone can hype right so I Everyone anyone can hype right so I think next year is going to be all about think next year is going to be all about think next year is going to be all about results so I think it's you're going to results so I think it's you're going to results so I think it's you're going to see a separation between the people who see a separation between the people who see a separation between the people who kind of talk and the people who actually kind of talk and the people who actually kind of talk and the people who actually find a way to do and really leverage find a way to do and really leverage find a way to do and really leverage these Technologies oh no no no no th these Technologies oh no no no no th these Technologies oh no no no no th this year was the year of this year was the year of this year was the year of results this was the I mean come on results this was the I mean come on results this was the I mean come on we've been in this hype cycle for two we've been in this hype cycle for two we've been in this hype cycle for two years and the thesis was this is years and the thesis was this is years and the thesis was this is exponential you know fraking Revolution exponential you know fraking Revolution exponential you know fraking Revolution uh I mean you saw some of the leading um uh I mean you saw some of the leading um uh I mean you saw some of the leading um consulting firms just like three 6 consulting firms just like three 6 consulting firms just like three 6 months in write all these proje you know months in write all these proje you know months in write all these proje you know reports hypothesizing and reports hypothesizing and reports hypothesizing and forecasting massive like trillions of forecasting massive like trillions of forecasting massive like trillions of dollars of you know economic uh value so dollars of you know economic uh value so dollars of you know economic uh value so no this is this was the year so here no this is this was the year so here no this is this was the year so here this is where I think the keyword the this is where I think the keyword the this is where I think the keyword the the keyword is forecasting I think it the keyword is forecasting I think it the keyword is forecasting I think it will not be the year until the will not be the year until the will not be the year until the the report report revenue for AI the report report revenue for AI the report report revenue for AI separated from cloud when they that that separated from cloud when they that that separated from cloud when they that that means it's actually used but that's all means it's actually used but that's all means it's actually used but that's all I mean the whole thing the that end of I mean the whole thing the that end of I mean the whole thing the that end of it was the it was the it was the hallucination yeah you know I mean come hallucination yeah you know I mean come hallucination yeah you know I mean come on right I mean I've seen it really is on right I mean I've seen it really is on right I mean I've seen it really is it I agree with Debbie in terms of you it I agree with Debbie in terms of you it I agree with Debbie in terms of you know it's the non-sexy stuff but they know it's the non-sexy stuff but they know it's the non-sexy stuff but they keep trying to make it the shiny object

  17. keep trying to make it the shiny object keep trying to make it the shiny object and and I mean the the the people that and and I mean the the the people that and and I mean the the the people that I've seen that are really using it and I've seen that are really using it and I've seen that are really using it and are getting some value out of it are are getting some value out of it are are getting some value out of it are doing things like eliminating all of the doing things like eliminating all of the doing things like eliminating all of the churn around powerbi reports and things churn around powerbi reports and things churn around powerbi reports and things like that right I mean it's it's it's like that right I mean it's it's it's like that right I mean it's it's it's it's the it's the little things that it's the it's the little things that it's the it's the little things that actually do provide greater value um but actually do provide greater value um but actually do provide greater value um but I think I think 2025 is going to be the I think I think 2025 is going to be the I think I think 2025 is going to be the people that actually do what Olivier is people that actually do what Olivier is people that actually do what Olivier is talking about in terms of actually talking about in terms of actually talking about in terms of actually separating out the separating out the separating out the money um because what a lot of people money um because what a lot of people money um because what a lot of people Miss is that it's not necessarily Miss is that it's not necessarily Miss is that it's not necessarily Revenue this cost to operate yeah but Revenue this cost to operate yeah but Revenue this cost to operate yeah but but quite honestly I think a lot of but quite honestly I think a lot of but quite honestly I think a lot of people you you know we Al also have to people you you know we Al also have to people you you know we Al also have to always recognize there's a denial phase always recognize there's a denial phase always recognize there's a denial phase okay where there's this expectation or okay where there's this expectation or okay where there's this expectation or the narrative okay continues to project the narrative okay continues to project the narrative okay continues to project this um you know this um you know this um you know vision and exponential logarithmic vision and exponential logarithmic vision and exponential logarithmic ridiculous curve but it the the um ridiculous curve but it the the um ridiculous curve but it the the um everyone is struggling to figure out everyone is struggling to figure out everyone is struggling to figure out okay where is the value attributing okay where is the value attributing okay where is the value attributing value uh to the the technology and what value uh to the the technology and what value uh to the the technology and what they've invested in in in the they've invested in in in the they've invested in in in the implementations you know if if this implementations you know if if this implementations you know if if this stuff was just knocking things out of stuff was just knocking things out of stuff was just knocking things out of the park people would be splitting out the park people would be splitting out the park people would be splitting out the the benefits uh in their reporting the the benefits uh in their reporting the the benefits uh in their reporting um at the beginning of this year you um at the beginning of this year you um at the beginning of this year you know because again the hype started two

  18. know because again the hype started two know because again the hype started two years years years ago companies have been um messing ago companies have been um messing ago companies have been um messing around with this stuff for more than two around with this stuff for more than two around with this stuff for more than two years so this is a much longer Journey years so this is a much longer Journey years so this is a much longer Journey than people think right and so so at than people think right and so so at than people think right and so so at this point there should have been that this point there should have been that this point there should have been that metaverse you know moment right where metaverse you know moment right where metaverse you know moment right where moment that industrial metaverse moment moment that industrial metaverse moment moment that industrial metaverse moment when did has that happened when did has that happened when did has that happened no and you know and what was what was no and you know and what was what was no and you know and what was what was everyone telling you well you know this everyone telling you well you know this everyone telling you well you know this is different from metaverse because you is different from metaverse because you is different from metaverse because you know metaverse was just an idea you know know metaverse was just an idea you know know metaverse was just an idea you know the technology wasn't there it's like no the technology wasn't there it's like no the technology wasn't there it's like no it's technology was actually there for it's technology was actually there for it's technology was actually there for 20 years what are you talking about zuk 20 years what are you talking about zuk 20 years what are you talking about zuk killed the the buz word killed the the buz word killed the the buz word basically that's what happened that's basically that's what happened that's basically that's what happened that's what happened Z you know sunk tens of what happened Z you know sunk tens of what happened Z you know sunk tens of billions of dollars into trying to billions of dollars into trying to billions of dollars into trying to figure that stuff out so we'll just let figure that stuff out so we'll just let figure that stuff out so we'll just let him keep doing that yeah and apple like him keep doing that yeah and apple like him keep doing that yeah and apple like you know Leonard we see that Vision you know Leonard we see that Vision you know Leonard we see that Vision device behind you Apple tried and people device behind you Apple tried and people device behind you Apple tried and people are just like like Meta Meta are just like like Meta Meta are just like like Meta Meta what they're all just waiting metadata what they're all just waiting metadata what they're all just waiting metadata dat metadata you know you know Pete said dat metadata you know you know Pete said dat metadata you know you know Pete said something a few moments ago that really something a few moments ago that really something a few moments ago that really grabbed me he talked about human in the grabbed me he talked about human in the grabbed me he talked about human in the loop and maybe Company's trying to get loop and maybe Company's trying to get loop and maybe Company's trying to get rid of the human in the loop right with rid of the human in the loop right with rid of the human in the loop right with all this stuff you know paler is famous all this stuff you know paler is famous all this stuff you know paler is famous for saying we're using Ai and humans in

  19. for saying we're using Ai and humans in for saying we're using Ai and humans in the loop to drive value from our the loop to drive value from our the loop to drive value from our technology I just want everybody to technology I just want everybody to technology I just want everybody to remember the first person ever really remember the first person ever really remember the first person ever really put out the idea of getting rid of the put out the idea of getting rid of the put out the idea of getting rid of the human in the loop was Thanos human in the loop was Thanos human in the loop was Thanos [Laughter] he used your job can be automated so he used your job can be automated so you're G you're going to be out of here you're G you're going to be out of here you're G you're going to be out of here you're part of the 50% that gets you're part of the 50% that gets you're part of the 50% that gets eliminated look oh my gosh oh my God B1 eliminated look oh my gosh oh my God B1 eliminated look oh my gosh oh my God B1 man B1 huh yep I love it the operative man B1 huh yep I love it the operative man B1 huh yep I love it the operative word is word is [Music] [Music] hollow operative word Hollow hollow operative word Hollow hollow operative word Hollow think how exciting that was though when think how exciting that was though when think how exciting that was though when like what was it Terry meerson you know like what was it Terry meerson you know like what was it Terry meerson you know like the very first like preview of that like the very first like preview of that like the very first like preview of that oh forever ago forever ago forever ago oh forever ago forever ago forever ago oh forever ago forever ago forever ago way too soon yeah someone should have way too soon yeah someone should have way too soon yeah someone should have told them too soon like don't go there told them too soon like don't go there told them too soon like don't go there well well well now well now Google's launched their XR now well now Google's launched their XR now well now Google's launched their XR platform um by the way with Hugo schwart platform um by the way with Hugo schwart platform um by the way with Hugo schwart who used to run XR for qualcom is now at who used to run XR for qualcom is now at who used to run XR for qualcom is now at Google so yeah Mr spatial computing Google so yeah Mr spatial computing Google so yeah Mr spatial computing yeah so they have our own special yeah so they have our own special yeah so they have our own special Computing platform and all that other Computing platform and all that other Computing platform and all that other stuff and you know keeping at it keeping stuff and you know keeping at it keeping stuff and you know keeping at it keeping at it which is pretty cool and then at it which is pretty cool and then at it which is pretty cool and then Leonard's you know still um working with Leonard's you know still um working with Leonard's you know still um working with his uh Apple Vision thing there so his uh Apple Vision thing there so his uh Apple Vision thing there so that's good oh dude I love props to that's good oh dude I love props to that's good oh dude I love props to Apple I mean on the one hand I think it

  20. Apple I mean on the one hand I think it Apple I mean on the one hand I think it still represents the ultimate still represents the ultimate still represents the ultimate state-ofthe-art the Apple hopefully you state-ofthe-art the Apple hopefully you state-ofthe-art the Apple hopefully you tried them all nothing even comes close tried them all nothing even comes close tried them all nothing even comes close to the Apple Vision to the Apple Vision to the Apple Vision Pro yeah cost some more Jero than most Pro yeah cost some more Jero than most Pro yeah cost some more Jero than most people have you know yeah and you know people have you know yeah and you know people have you know yeah and you know um uh Samsung uh you know announced um uh Samsung uh you know announced um uh Samsung uh you know announced project muhan it's not out yet it's project muhan it's not out yet it's project muhan it's not out yet it's gonna be probably did you say project gonna be probably did you say project gonna be probably did you say project Wuhan no I know you Wuhan no I know you Wuhan no I know you know the realtime translation it says know the realtime translation it says know the realtime translation it says Wuhan instead of muhan and in Korean and Wuhan instead of muhan and in Korean and Wuhan instead of muhan and in Korean and by the way if people don't know I'm by the way if people don't know I'm by the way if people don't know I'm freaking Korean all right they might not freaking Korean all right they might not freaking Korean all right they might not know it because Lee is like a universal know it because Lee is like a universal know it because Lee is like a universal Asian person's name Universal yeah kind Asian person's name Universal yeah kind Asian person's name Universal yeah kind of like yeah exactly but muhan means uh of like yeah exactly but muhan means uh of like yeah exactly but muhan means uh Limitless like Han is barrier who means Limitless like Han is barrier who means Limitless like Han is barrier who means no so no barrier um yeah that thing is no so no barrier um yeah that thing is no so no barrier um yeah that thing is Samsung I mean you know it it they're Samsung I mean you know it it they're Samsung I mean you know it it they're following fast following or slow following fast following or slow following fast following or slow following actually because they're you following actually because they're you following actually because they're you know probably two three years behind um know probably two three years behind um know probably two three years behind um uh Apple but it's probably a better uh Apple but it's probably a better uh Apple but it's probably a better Direction and yeah it's expensive but Direction and yeah it's expensive but Direction and yeah it's expensive but the way I look at this stuff it's like the way I look at this stuff it's like the way I look at this stuff it's like um uh remember the DV camcorders when um uh remember the DV camcorders when um uh remember the DV camcorders when they first came out they were like 2,000 they first came out they were like 2,000 they first came out they were like 2,000 bucks man they were like freaking bucks man they were like freaking bucks man they were like freaking expensive and everyone else was using expensive and everyone else was using expensive and everyone else was using you know those High eight camcorders you know those High eight camcorders you know those High eight camcorders that were like this big shoulder was that were like this big shoulder was that were like this big shoulder was like tiny and when I was touring Europe like tiny and when I was touring Europe like tiny and when I was touring Europe and this was like two

  21. and this was like two and this was like two 1997 people were like freaking out they 1997 people were like freaking out they 1997 people were like freaking out they were like going what the hell is that were like going what the hell is that were like going what the hell is that what the but most of them would not be what the but most of them would not be what the but most of them would not be able to uh afford this thing you know I able to uh afford this thing you know I able to uh afford this thing you know I paid 2400 bucks for it bought it in um paid 2400 bucks for it bought it in um paid 2400 bucks for it bought it in um Tokyo and think about how expensive 2400 Tokyo and think about how expensive 2400 Tokyo and think about how expensive 2400 bucks was in bucks was in bucks was in 1997 right and was like 2400 bucks it 1997 right and was like 2400 bucks it 1997 right and was like 2400 bucks it exploded but also when you you know exploded but also when you you know exploded but also when you you know again I cover the media industry as well again I cover the media industry as well again I cover the media industry as well this thing is is is killing it man um this thing is is is killing it man um this thing is is is killing it man um they are they're going nuts over it so they are they're going nuts over it so they are they're going nuts over it so if you go to NAB show you see an if you go to NAB show you see an if you go to NAB show you see an entirely different thing but if you talk entirely different thing but if you talk entirely different thing but if you talk to people in gaming they think this is to people in gaming they think this is to people in gaming they think this is thing is a a dud right but they never thing is a a dud right but they never thing is a a dud right but they never showcase games on this thing but if you showcase games on this thing but if you showcase games on this thing but if you ever check out like fraking what is it ever check out like fraking what is it ever check out like fraking what is it they have a what if a Marvel application they have a what if a Marvel application they have a what if a Marvel application that thing is is ridiculous it it really that thing is is ridiculous it it really that thing is is ridiculous it it really truly shows you the future of truly shows you the future of truly shows you the future of entertainment it's done by um what do entertainment it's done by um what do entertainment it's done by um what do you call it the industrial Light and you call it the industrial Light and you call it the industrial Light and Magic right so it takes guys like that Magic right so it takes guys like that Magic right so it takes guys like that to come up with like these uh content to come up with like these uh content to come up with like these uh content formats that'll just blow you away and formats that'll just blow you away and formats that'll just blow you away and it and you know um I bought a 8K it and you know um I bought a 8K it and you know um I bought a 8K 360 um uh camera and I was tinkering 360 um uh camera and I was tinkering 360 um uh camera and I was tinkering around with it over the weekend and around with it over the weekend and around with it over the weekend and here's the thing The Vision Pro the here's the thing The Vision Pro the here's the thing The Vision Pro the resolution is so high it makes AK 360 resolution is so high it makes AK 360 resolution is so high it makes AK 360 look like [ __ ] you know it it's not good

  22. look like [ __ ] you know it it's not good look like [ __ ] you know it it's not good enough you know so you have to go to 16k enough you know so you have to go to 16k enough you know so you have to go to 16k so there's so much Headroom in this so there's so much Headroom in this so there's so much Headroom in this thing but and yeah thing but and yeah thing but and yeah 16k yeah who cares about all the 16k yeah who cares about all the 16k yeah who cares about all the industrial stuff and all that man this industrial stuff and all that man this industrial stuff and all that man this thing is the consumers man if you if thing is the consumers man if you if thing is the consumers man if you if you're a young you have kids you you you're a young you have kids you you you're a young you have kids you you should be you know taking spatial video should be you know taking spatial video should be you know taking spatial video trust me you'll regret it if you don't trust me you'll regret it if you don't trust me you'll regret it if you don't and you might as well now especially if and you might as well now especially if and you might as well now especially if you have a iPhone 15 uh Pro 16 and a 16 you have a iPhone 15 uh Pro 16 and a 16 you have a iPhone 15 uh Pro 16 and a 16 Pro take spatial video even if you don't Pro take spatial video even if you don't Pro take spatial video even if you don't have one of these because you you'll have one of these because you you'll have one of these because you you'll regret it regret it regret it the whole world's going to live in the whole world's going to live in the whole world's going to live in regret obviously think about it it backs the obviously think about it it backs the question Leonard it begs the question question Leonard it begs the question question Leonard it begs the question what is technology is what is technology is what is technology is here what is preventing that metaverse here what is preventing that metaverse here what is preventing that metaverse Paradigm to really Pierce and and being Paradigm to really Pierce and and being Paradigm to really Pierce and and being used like why aren't people like people used like why aren't people like people used like why aren't people like people are already like leaving in Virtual are already like leaving in Virtual are already like leaving in Virtual Worlds you know like on their phones Worlds you know like on their phones Worlds you know like on their phones whatever and they they leave in this whatever and they they leave in this whatever and they they leave in this kind of like bubbles of information and kind of like bubbles of information and kind of like bubbles of information and whatever why technology being here are whatever why technology being here are whatever why technology being here are we not yet in that you know player we not yet in that you know player we not yet in that you know player number one play like player one ready number one play like player one ready number one play like player one ready player one kind of scenarios why why player one kind of scenarios why why player one kind of scenarios why why what's going on why I I personally think what's going on why I I personally think what's going on why I I personally think that there's this problem of of We Still that there's this problem of of We Still that there's this problem of of We Still humans we still need that physical yeah humans we still need that physical yeah humans we still need that physical yeah connection other people and that will

  23. connection other people and that will connection other people and that will not go away like humans will evolve but not go away like humans will evolve but not go away like humans will evolve but it will take millions of years not few it will take millions of years not few it will take millions of years not few years and so like people like this since years and so like people like this since years and so like people like this since holens one this interaction with a holens one this interaction with a holens one this interaction with a virtual world is a nice promise but but virtual world is a nice promise but but virtual world is a nice promise but but people don't buy it people don't want to people don't buy it people don't want to people don't buy it people don't want to get there and it's not to me the the The get there and it's not to me the the The get there and it's not to me the the The Vision Pro problem is not the pricing Vision Pro problem is not the pricing Vision Pro problem is not the pricing people people take freaking loans to get people people take freaking loans to get people people take freaking loans to get a phone today right phones cost two two a phone today right phones cost two two a phone today right phones cost two two grand like $2,000 for a freaking phone grand like $2,000 for a freaking phone grand like $2,000 for a freaking phone that's what people people cannot afford that's what people people cannot afford that's what people people cannot afford that many like most people can't they that many like most people can't they that many like most people can't they still have freaking smartphone you go still have freaking smartphone you go still have freaking smartphone you go down to Africa but everyone has a down to Africa but everyone has a down to Africa but everyone has a smartphone that's the only way of smartphone that's the only way of smartphone that's the only way of connecting to the internet but how can connecting to the internet but how can connecting to the internet but how can they afford that you know and and so they afford that you know and and so they afford that you know and and so because there is a need for it it's it's because there is a need for it it's it's because there is a need for it it's it's their connection to the world so and and their connection to the world so and and their connection to the world so and and there is RI in that vision and accessing there is RI in that vision and accessing there is RI in that vision and accessing that metor thing and I don't I don't that metor thing and I don't I don't that metor thing and I don't I don't know I it might happen or not maybe know I it might happen or not maybe know I it might happen or not maybe there's going to be another way of there's going to be another way of there's going to be another way of interacting with with virtual world interacting with with virtual world interacting with with virtual world right but you're you're right no one right but you're you're right no one right but you're you're right no one gives a about metaverse gives a about metaverse gives a about metaverse um this is all um this is all um this is all about no I'll just make a real quick about no I'll just make a real quick about no I'll just make a real quick point this is about Minority Report you point this is about Minority Report you point this is about Minority Report you know that scene where uh you know Tom know that scene where uh you know Tom know that scene where uh you know Tom Cruz is sitting there and you know he Cruz is sitting there and you know he Cruz is sitting there and you know he gets that little uh glass you know gets that little uh glass you know gets that little uh glass you know holographic memory chip thingy puts it holographic memory chip thingy puts it holographic memory chip thingy puts it in and starts watching um 3D or imersive in and starts watching um 3D or imersive

  24. in and starts watching um 3D or imersive video of his son who video of his son who video of his son who died that's what it's about it's about died that's what it's about it's about died that's what it's about it's about memories memories memories it so this is not this is not that is it so this is not this is not that is it so this is not this is not that is number one that is the prime thing and number one that is the prime thing and number one that is the prime thing and I'm telling you when you experience like I'm telling you when you experience like I'm telling you when you experience like I hold my daughter on my chest with this I hold my daughter on my chest with this I hold my daughter on my chest with this thing on I film her and when I play it thing on I film her and when I play it thing on I film her and when I play it back it's like she's right there and so back it's like she's right there and so back it's like she's right there and so 20 years from now when I'm a old 20 years from now when I'm a old 20 years from now when I'm a old wrinkled dude and my daughter has grown wrinkled dude and my daughter has grown wrinkled dude and my daughter has grown up and she's being you know obnoxious up and she's being you know obnoxious up and she's being you know obnoxious and thinks daddy is the dumbest guy in and thinks daddy is the dumbest guy in and thinks daddy is the dumbest guy in the world I'm going to go back to those the world I'm going to go back to those the world I'm going to go back to those already there to remind me um why I'm already there to remind me um why I'm already there to remind me um why I'm not going to you know disown her right not going to you know disown her right not going to you know disown her right yeah I I person think that as science is yeah I I person think that as science is yeah I I person think that as science is making big progress dude it's a question making big progress dude it's a question making big progress dude it's a question of of interface human machine of of interface human machine of of interface human machine interface this this principle of having interface this this principle of having interface this this principle of having something in front of your eyes is not something in front of your eyes is not something in front of your eyes is not working because it cuts you from The working because it cuts you from The working because it cuts you from The Real World now when technology is able Real World now when technology is able Real World now when technology is able to inject that directly into the nerve to inject that directly into the nerve to inject that directly into the nerve or whatever in a way that is safe or whatever in a way that is safe or whatever in a way that is safe because we're using technology today because we're using technology today because we're using technology today that was deed unsafe like 10 20 years that was deed unsafe like 10 20 years that was deed unsafe like 10 20 years ago so it's going to happen at some ago so it's going to happen at some ago so it's going to happen at some point like whatever whatever means it's point like whatever whatever means it's point like whatever whatever means it's going to happen where that interface going to happen where that interface going to happen where that interface will be directly to your neurons and not will be directly to your neurons and not will be directly to your neurons and not through a physical thing in front of through a physical thing in front of through a physical thing in front of your eyes and I think that's that's when your eyes and I think that's that's when your eyes and I think that's that's when we're going to we're going to like shoot

  25. we're going to we're going to like shoot we're going to we're going to like shoot into that metaverse world not with that into that metaverse world not with that into that metaverse world not with that big thing in front of your eyes I think big thing in front of your eyes I think big thing in front of your eyes I think Debbie was going to by the way say Debbie was going to by the way say Debbie was going to by the way say something sorry something sorry something sorry Debbie well now i' I advised in this Debbie well now i' I advised in this Debbie well now i' I advised in this area I've done privacy stuff in XR uh area I've done privacy stuff in XR uh area I've done privacy stuff in XR uh for many years and regardless of the for many years and regardless of the for many years and regardless of the technology uh you know the ability for a technology uh you know the ability for a technology uh you know the ability for a particular technology to catch on and particular technology to catch on and particular technology to catch on and for people to really be able to for people to really be able to for people to really be able to gravitate towards it it has to have some gravitate towards it it has to have some gravitate towards it it has to have some type of practice whole application right type of practice whole application right type of practice whole application right so even even though I think the Vision so even even though I think the Vision so even even though I think the Vision Pro is a tremendous you know Pro is a tremendous you know Pro is a tremendous you know technological feed like when I saw some technological feed like when I saw some technological feed like when I saw some of the the advertising around it like of the the advertising around it like of the the advertising around it like they had person they had the Vision Pro they had person they had the Vision Pro they had person they had the Vision Pro uh headset on their room is completely uh headset on their room is completely uh headset on their room is completely quiet and clean I'm like where's the dog quiet and clean I'm like where's the dog quiet and clean I'm like where's the dog where's laundry where the kids is like where's laundry where the kids is like where's laundry where the kids is like knocked over stuff right so it it seems knocked over stuff right so it it seems knocked over stuff right so it it seems very kind of removed from what people's very kind of removed from what people's very kind of removed from what people's everyday daytoday lives are you know everyday daytoday lives are you know everyday daytoday lives are you know some people are very privileged to be some people are very privileged to be some people are very privileged to be able to have those things but I think in able to have those things but I think in able to have those things but I think in terms of WID scale adoption almost terms of WID scale adoption almost terms of WID scale adoption almost anything you have to have some Lo cases anything you have to have some Lo cases anything you have to have some Lo cases that are very practical maybe not that that are very practical maybe not that that are very practical maybe not that interesting or sexy but something that interesting or sexy but something that interesting or sexy but something that helps people to really latch on to it helps people to really latch on to it helps people to really latch on to it maybe that's kind of a

  26. maybe that's kind of a maybe that's kind of a Gateway type things but like people Gateway type things but like people Gateway type things but like people don't want to be tipped like pets no don't want to be tipped like pets no don't want to be tipped like pets no absolutely not I know we talk about uh absolutely not I know we talk about uh absolutely not I know we talk about uh computer brain interfaces and we're computer brain interfaces and we're computer brain interfaces and we're seeing some uh things that are helping seeing some uh things that are helping seeing some uh things that are helping especially people with like neurological especially people with like neurological especially people with like neurological issues and stuff like that even that is issues and stuff like that even that is issues and stuff like that even that is getting kind of scary because for getting kind of scary because for getting kind of scary because for example there are people let's say they example there are people let's say they example there are people let's say they uh uh let's say the the company that uh uh let's say the the company that uh uh let's say the the company that that made the the interface that you're that made the the interface that you're that made the the interface that you're using and they go out of of business or using and they go out of of business or using and they go out of of business or something some these people they have to something some these people they have to something some these people they have to actually have to have operations to get actually have to have operations to get actually have to have operations to get theel taken theel taken theel taken out right even though it works but out right even though it works but out right even though it works but because the company is no longer in because the company is no longer in because the company is no longer in business they literally have to give up business they literally have to give up business they literally have to give up technology that's like a technology that's like a technology that's like a problem problem problem yeah no I think it's like uh people will yeah no I think it's like uh people will yeah no I think it's like uh people will you know I think some folks like we see you know I think some folks like we see you know I think some folks like we see it already are maybe in their situation it already are maybe in their situation it already are maybe in their situation is they are looking for some kind of is they are looking for some kind of is they are looking for some kind of escape from their situation and so I escape from their situation and so I escape from their situation and so I think if the technology is there and think if the technology is there and think if the technology is there and like Oliver said it's like kind of like Oliver said it's like kind of like Oliver said it's like kind of irrationally expensive they'll still try irrationally expensive they'll still try irrationally expensive they'll still try to acquire that to escape their their to acquire that to escape their their to acquire that to escape their their environment I think by the way and this environment I think by the way and this environment I think by the way and this is kind of a little bit of a random is kind of a little bit of a random is kind of a little bit of a random thing but I was listening uh this week thing but I was listening uh this week thing but I was listening uh this week about some reports around the GL glp1 about some reports around the GL glp1 about some reports around the GL glp1 drugs are like now being considered like drugs are like now being considered like drugs are like now being considered like anti-ed donic drugs so they're helping anti-ed donic drugs so they're helping anti-ed donic drugs so they're helping people curb alcoholism and drug

  27. people curb alcoholism and drug people curb alcoholism and drug addiction and uh and so any of these addiction and uh and so any of these addiction and uh and so any of these kind of behaviors that were starting to kind of behaviors that were starting to kind of behaviors that were starting to see like I I would be uh not surprised see like I I would be uh not surprised see like I I would be uh not surprised to see in 2025 more focus on you know to see in 2025 more focus on you know to see in 2025 more focus on you know people moderating behaviors you know people moderating behaviors you know people moderating behaviors you know being prescribed these drugs to moderate being prescribed these drugs to moderate being prescribed these drugs to moderate behaviors that could drive them to more behaviors that could drive them to more behaviors that could drive them to more kind of obsessive um or or self harm kind of obsessive um or or self harm kind of obsessive um or or self harm type of behaviors that would require type of behaviors that would require type of behaviors that would require them to then kind of put on a helmet and them to then kind of put on a helmet and them to then kind of put on a helmet and kind of tune out so I think there's kind kind of tune out so I think there's kind kind of tune out so I think there's kind of like a really interesting thing going of like a really interesting thing going of like a really interesting thing going on here with society and techn ology and on here with society and techn ology and on here with society and techn ology and escape and engagement and all that it's escape and engagement and all that it's escape and engagement and all that it's all like it's like I wouldn't say all like it's like I wouldn't say all like it's like I wouldn't say perfect storm but I think it's really perfect storm but I think it's really perfect storm but I think it's really starting to converge and you know was starting to converge and you know was starting to converge and you know was saying healthc care and technology and saying healthc care and technology and saying healthc care and technology and uh it's it's all starting to come uh it's it's all starting to come uh it's it's all starting to come together it's really interesting it's together it's really interesting it's together it's really interesting it's pretty crazy pretty crazy pretty crazy huh from a Sci-Fi perspective a lot of huh from a Sci-Fi perspective a lot of huh from a Sci-Fi perspective a lot of the things that you see are you know the things that you see are you know the things that you see are you know somewhat dystopian or whatever I feel somewhat dystopian or whatever I feel somewhat dystopian or whatever I feel like we haven't learned anything like we haven't learned anything like we haven't learned anything we haven't learned a damn thing right we haven't learned a damn thing right we haven't learned a damn thing right you see 2001 Space Odyssey about how and you see 2001 Space Odyssey about how and you see 2001 Space Odyssey about how and how the computer is taken over like how the computer is taken over like how the computer is taken over like we're allowing this to happen we're allowing this to happen we're allowing this to happen sure so we've been told you know it's sure so we've been told you know it's sure so we've been told you know it's been been foretold why this is important been been foretold why this is important been been foretold why this is important for us to think about but we just for us to think about but we just for us to think about but we just totally G Buck Wild like I feel like totally G Buck Wild like I feel like totally G Buck Wild like I feel like like 1984 we're past that now oh yeah

  28. like 1984 we're past that now oh yeah like 1984 we're past that now oh yeah yeah let t yeah let t yeah let t you're allowing all this stuff to happen you're allowing all this stuff to happen you're allowing all this stuff to happen it is horrible yeah well people you know it is horrible yeah well people you know it is horrible yeah well people you know it's also like we we know already people it's also like we we know already people it's also like we we know already people have given up their privacy willingly have given up their privacy willingly have given up their privacy willingly and all their data in exchange for and all their data in exchange for and all their data in exchange for whatever Facebook likes and stuff like whatever Facebook likes and stuff like whatever Facebook likes and stuff like that like people have already that like people have already that like people have already unfortunately society when you go back unfortunately society when you go back unfortunately society when you go back to the T comment from the very beginning to the T comment from the very beginning to the T comment from the very beginning the the total population of of of the the total population of of of the the total population of of of humanity and their kind of desires and humanity and their kind of desires and humanity and their kind of desires and stuff like that like we're not too stuff like that like we're not too stuff like that like we're not too bright as a as a as a as a species like bright as a as a as a as a species like bright as a as a as a as a species like as Humanity we're just not too bright as Humanity we're just not too bright as Humanity we're just not too bright and we're we're easily uh conned into and we're we're easily uh conned into and we're we're easily uh conned into giving up freedoms to uh for pleasure giving up freedoms to uh for pleasure giving up freedoms to uh for pleasure and uh or perceive pleasure and you know and uh or perceive pleasure and you know and uh or perceive pleasure and you know that's what's happening right now that's what's happening right now that's what's happening right now convenience is a huge convenience convenience is a huge convenience convenience is a huge convenience convenience we want convenience we want convenience we want convenience case of convenience case of convenience case of fomo uh and then that's another thing fomo uh and then that's another thing fomo uh and then that's another thing yeah yeah yeah there's fomo that and yeah yeah yeah there's fomo that and yeah yeah yeah there's fomo that and then um yeah it's not that bright we're then um yeah it's not that bright we're then um yeah it's not that bright we're doing this to ourselves we've already doing this to ourselves we've already doing this to ourselves we've already seen the future already we're heading seen the future already we're heading seen the future already we're heading there Full Speed Ahead even though go there Full Speed Ahead even though go there Full Speed Ahead even though go yeah I mean happy New Year yeah I mean happy New Year yeah I mean happy New Year is yeah happy New Year go that bridge is yeah happy New Year go that bridge is yeah happy New Year go that bridge and jump you and jump you and jump you know but you know like the whole Intel know but you know like the whole Intel know but you know like the whole Intel situation is a perfect example like that situation is a perfect example like that situation is a perfect example like that board individually these folks may be board individually these folks may be board individually these folks may be you know pretty smart but collectively you know pretty smart but collectively you know pretty smart but collectively they're exponentially stupid you know they're exponentially stupid you know they're exponentially stupid you know they collectively make the dumbest

  29. they collectively make the dumbest they collectively make the dumbest decisions and re respond and react to decisions and re respond and react to decisions and re respond and react to crisis in the dumbest way um and and and crisis in the dumbest way um and and and crisis in the dumbest way um and and and you know that that that's the sad thing you know that that that's the sad thing you know that that that's the sad thing you can have the smartest people in the you can have the smartest people in the you can have the smartest people in the room throwing some bad politics and you room throwing some bad politics and you room throwing some bad politics and you know conflict of interest and know conflict of interest and know conflict of interest and self-interest and next thing you know uh self-interest and next thing you know uh self-interest and next thing you know uh you have the world going stuff how about you have the world going stuff how about you have the world going stuff how about that genius board at that genius board at that genius board at Intel yeah I think I have a solution I Intel yeah I think I have a solution I Intel yeah I think I have a solution I have a solution for all of that you know have a solution for all of that you know have a solution for all of that you know yeah we all go to Mars and start again yeah we all go to Mars and start again yeah we all go to Mars and start again from scratch yeah just start wow from scratch yeah just start wow from scratch yeah just start wow that wow out for Mark Watney had those potatoes he grew in the Watney had those potatoes he grew in the poo poo this so why are we trying to go poo poo this so why are we trying to go poo poo this so why are we trying to go to Mars and there's more water at to Mars and there's more water at to Mars and there's more water at 7-Eleven than there is on 7-Eleven than there is on 7-Eleven than there is on Mark my God that's like the quote of the Mark my God that's like the quote of the Mark my God that's like the quote of the year that's awesome 7-Eleven is having a Renaissance by the 7-Eleven is having a Renaissance by the way way way yeah I'm all I'm all in on 7-Eleven I'm yeah I'm all I'm all in on 7-Eleven I'm yeah I'm all I'm all in on 7-Eleven I'm Roo for that's like saying hey let's go Roo for that's like saying hey let's go Roo for that's like saying hey let's go get a Slurpee yeah after this play some get a Slurpee yeah after this play some get a Slurpee yeah after this play some asteroids get a asteroids get a asteroids get a Slurpee yeah you know Debbie you have a Slurpee yeah you know Debbie you have a Slurpee yeah you know Debbie you have a great point I mean you you can you don't great point I mean you you can you don't great point I mean you you can you don't need to go to Mars to live in an need to go to Mars to live in an need to go to Mars to live in an uninhabitable uh environment just go to uninhabitable uh environment just go to uninhabitable uh environment just go to you know build a house in Death Valley you know build a house in Death Valley you know build a house in Death Valley and live there you know I mean

  30. and live there you know I mean and live there you know I mean or it's just it doesn't make any sense or it's just it doesn't make any sense or it's just it doesn't make any sense right yeah but yeah it's cool uh but right yeah but yeah it's cool uh but right yeah but yeah it's cool uh but it's for the advancement of humanity but it's for the advancement of humanity but it's for the advancement of humanity but humanity is what it is it's Tay and Tay humanity is what it is it's Tay and Tay humanity is what it is it's Tay and Tay 2.0 and 2.0 and 2.0 and idiocracy and idiocracy and idiocracy and yeah ocy yeah ocy yeah ocy 3.0 it's what Elon says like you know 3.0 it's what Elon says like you know 3.0 it's what Elon says like you know Humanity can continue to uh you know Humanity can continue to uh you know Humanity can continue to uh you know survive and you know if we decide to survive and you know if we decide to survive and you know if we decide to blow ourselves up on on on the blow ourselves up on on on the blow ourselves up on on on the planet yeah remember the big problem planet yeah remember the big problem planet yeah remember the big problem with Mars is that it doesn't have a with Mars is that it doesn't have a with Mars is that it doesn't have a magnetic field yeah that's what makes it magnetic field yeah that's what makes it magnetic field yeah that's what makes it uninhabitable that causes all the other uninhabitable that causes all the other uninhabitable that causes all the other problems that makes it not inhabitable problems that makes it not inhabitable problems that makes it not inhabitable there's no magnetic field like we have there's no magnetic field like we have there's no magnetic field like we have from Gravity right it's just it magnetic from Gravity right it's just it magnetic from Gravity right it's just it magnetic field makes magic happen makes you be field makes magic happen makes you be field makes magic happen makes you be able to capture atmosphere it makes you able to capture atmosphere it makes you able to capture atmosphere it makes you keep away all the solar radiation that keep away all the solar radiation that keep away all the solar radiation that would kill us and a bunch of other cool would kill us and a bunch of other cool would kill us and a bunch of other cool yeah yeah yeah you know you have to have yeah yeah yeah you know you have to have yeah yeah yeah you know you have to have this kind of iron core spinning inside this kind of iron core spinning inside this kind of iron core spinning inside your planet anyway yall already your planet anyway yall already your planet anyway yall already know people so people trying to get off of so people trying to get off of Earth it's a good point because we've Earth it's a good point because we've Earth it's a good point because we've made all these dystopian movies we've made all these dystopian movies we've made all these dystopian movies we've already thought of every possible already thought of every possible already thought of every possible outcome do you remember the movie called outcome do you remember the movie called outcome do you remember the movie called elisium elium Jody Foster and all the elisium elium Jody Foster and all the elisium elium Jody Foster and all the rich people were orbiting the Earth in rich people were orbiting the Earth in rich people were orbiting the Earth in the school Space Station all the masses

  31. the school Space Station all the masses the school Space Station all the masses of humanity were fighting each other of humanity were fighting each other of humanity were fighting each other survival it doesn't end well for the survival it doesn't end well for the survival it doesn't end well for the Reach people Reach people Reach people though te it down exactly that's what though te it down exactly that's what though te it down exactly that's what these AIS are learning as they in just these AIS are learning as they in just these AIS are learning as they in just novel versions of these these movies or novel versions of these these movies or novel versions of these these movies or you know as yeah don't train AI on that you know as yeah don't train AI on that you know as yeah don't train AI on that movie Brothers you know it learns all movie Brothers you know it learns all movie Brothers you know it learns all these things I mean gez it's just weird these things I mean gez it's just weird these things I mean gez it's just weird such such a weird I I just started the such such a weird I I just started the such such a weird I I just started the the Bobby verse series of of books so I the Bobby verse series of of books so I the Bobby verse series of of books so I I don't want anyone to spoil it for me I don't want anyone to spoil it for me I don't want anyone to spoil it for me but that's Dennis Taylor and it starts but that's Dennis Taylor and it starts but that's Dennis Taylor and it starts with this guy who just sold a startup with this guy who just sold a startup with this guy who just sold a startup and decides to buy in on a company on a and decides to buy in on a company on a and decides to buy in on a company on a startup that uh will freeze his brain startup that uh will freeze his brain startup that uh will freeze his brain and uh and promise to resuscitate him in and uh and promise to resuscitate him in and uh and promise to resuscitate him in a way in the future when technology is a way in the future when technology is a way in the future when technology is riched whatever level right and and the riched whatever level right and and the riched whatever level right and and the guy does sign the contract goes out and guy does sign the contract goes out and guy does sign the contract goes out and dies like run over by a car and wakes up dies like run over by a car and wakes up dies like run over by a car and wakes up wakes up as an AI right and and that's wakes up as an AI right and and that's wakes up as an AI right and and that's the beginning of the whole thing I'm I'm the beginning of the whole thing I'm I'm the beginning of the whole thing I'm I'm I'm very much at the beginning of that I'm very much at the beginning of that I'm very much at the beginning of that uh and uh and he starts you know it uh and uh and he starts you know it uh and uh and he starts you know it start he starts realizing you know as a start he starts realizing you know as a start he starts realizing you know as a tech tech tech guy what's going on and uh and all the guy what's going on and uh and all the guy what's going on and uh and all the possibilities and so on so that's that's possibilities and so on so that's that's possibilities and so on so that's that's cool that's pretty interesting what's it cool that's pretty interesting what's it cool that's pretty interesting what's it called again what's the book uh the it's called again what's the book uh the it's called again what's the book uh the it's a series the first one is called we are a series the first one is called we are a series the first one is called we are le le le le le le we are Bob so it's like we are legion

  32. we are Bob so it's like we are legion we are Bob so it's like we are legion and we are Bob and and U and so uh it's and we are Bob and and U and so uh it's and we are Bob and and U and so uh it's the Bobby verse that's what they call the Bobby verse that's what they call the Bobby verse that's what they call that love it I'm reading the oh go ahead that love it I'm reading the oh go ahead that love it I'm reading the oh go ahead I was just gonna say I'm actually I was just gonna say I'm actually I was just gonna say I'm actually reading the original Godzilla um novel reading the original Godzilla um novel reading the original Godzilla um novel translated from Japanese oh wow great translated from Japanese oh wow great translated from Japanese oh wow great it's great you know remember Godzilla it's great you know remember Godzilla it's great you know remember Godzilla minus one you know the movie one like minus one you know the movie one like minus one you know the movie one like it's definitely they really nailed the it's definitely they really nailed the it's definitely they really nailed the feel of the original novel and it's feel of the original novel and it's feel of the original novel and it's awesome to pick that up because it is awesome to pick that up because it is awesome to pick that up because it is about technology dystopia societal about technology dystopia societal about technology dystopia societal Vengeance this whole thing kind of we Vengeance this whole thing kind of we Vengeance this whole thing kind of we always have this primordial fear of yeah always have this primordial fear of yeah always have this primordial fear of yeah happens when Tech gets out of control happens when Tech gets out of control happens when Tech gets out of control but this was written in like what 55 I but this was written in like what 55 I but this was written in like what 55 I think yeah right oh my Gosha minus one think yeah right oh my Gosha minus one think yeah right oh my Gosha minus one was so awesome oh such a good movie was so awesome oh such a good movie was so awesome oh such a good movie nailed it have you all ever get a chance nailed it have you all ever get a chance nailed it have you all ever get a chance um I have pleasure even though I had um I have pleasure even though I had um I have pleasure even though I had never seen it before to see the original never seen it before to see the original never seen it before to see the original West world were you brener West world were you brener West world were you brener yeah yeah great that was yeah yeah great that was yeah yeah great that was great that's a good one you're right great that's a good one you're right great that's a good one you're right again yeah but you know uh Pete you you again yeah but you know uh Pete you you again yeah but you know uh Pete you you it's interesting that you made um that it's interesting that you made um that it's interesting that you made um that point because it just um it reminds me point because it just um it reminds me point because it just um it reminds me that uh that there were a hell of a lot that uh that there were a hell of a lot that uh that there were a hell of a lot of really smart people um before us and of really smart people um before us and of really smart people um before us and somehow we think that we're smarter than somehow we think that we're smarter than somehow we think that we're smarter than them and you know you talk about we

  33. are smartest people in the are smartest people in the world 1810 and then how how many you know what 1810 and then how how many you know what our potential for doing you know our potential for doing you know our potential for doing you know extremely dumb stuff is even today you extremely dumb stuff is even today you extremely dumb stuff is even today you know and somehow we think that know and somehow we think that know and somehow we think that technology is going to solve things and technology is going to solve things and technology is going to solve things and it's going to be the thing that saves us it's going to be the thing that saves us it's going to be the thing that saves us from our proclivity for Mass stupidity from our proclivity for Mass stupidity from our proclivity for Mass stupidity but you know let play you guys speaking but you know let play you guys speaking but you know let play you guys speaking of all this match stupidity a one minute of all this match stupidity a one minute of all this match stupidity a one minute video remember Justine baitman sister of video remember Justine baitman sister of video remember Justine baitman sister of B B all right she's like going medieval B B all right she's like going medieval B B all right she's like going medieval lately against generative Ai and and lately against generative Ai and and lately against generative Ai and and everything and to content and Hollywood everything and to content and Hollywood everything and to content and Hollywood oh anyway I'm going to play this video oh anyway I'm going to play this video oh anyway I'm going to play this video here we'll have like a little bit of a here we'll have like a little bit of a here we'll have like a little bit of a definition of what what generative AI is definition of what what generative AI is definition of what what generative AI is think of it as like a blender and if you think of it as like a blender and if you think of it as like a blender and if you have a blender at home and you turn it have a blender at home and you turn it have a blender at home and you turn it on what does it do just kind of put into on what does it do just kind of put into on what does it do just kind of put into it yeah it depends on what you put into it yeah it depends on what you put into it yeah it depends on what you put into it so it cannot function J AI cannot it so it cannot function J AI cannot it so it cannot function J AI cannot function unless it's fed things okay and function unless it's fed things okay and function unless it's fed things okay and then you turn on the blender and you then you turn on the blender and you then you turn on the blender and you give it a prompt which is your little give it a prompt which is your little give it a prompt which is your little spoon and you get a little Spoonful spoon and you get a little Spoonful spoon and you get a little Spoonful little Frankenstein Spoonful out of it little Frankenstein Spoonful out of it little Frankenstein Spoonful out of it of what you asked for so what is going of what you asked for so what is going of what you asked for so what is going into the blunder 100 Years of film and into the blunder 100 Years of film and into the blunder 100 Years of film and television television television or many many years of doctor's reports or many many years of doctor's reports or many many years of doctor's reports or students essays or whatever it is and or students essays or whatever it is and or students essays or whatever it is and so in the film business in particular so in the film business in particular so in the film business in particular that's what we call

  34. theft it's the biggest violation yeah theft it's the biggest violation yeah and the term that continues to be used and the term that continues to be used and the term that continues to be used is all we did I think the CTO of open AI is all we did I think the CTO of open AI is all we did I think the CTO of open AI I believe that's her position I forget I believe that's her position I forget I believe that's her position I forget her name when she was asked on on some her name when she was asked on on some her name when she was asked on on some interview uh recently you know what do interview uh recently you know what do interview uh recently you know what do you say about the fact that you didn't you say about the fact that you didn't you say about the fact that you didn't ask permission to take in it she said ask permission to take in it she said ask permission to take in it she said well it was all publicly available and I well it was all publicly available and I well it was all publicly available and I will say will say will say this if you want a car if I see a car in this if you want a car if I see a car in this if you want a car if I see a car in the street it's publicly available but the street it's publicly available but the street it's publicly available but somehow it's illegal for me to take it somehow it's illegal for me to take it somehow it's illegal for me to take it so that's what we have the copyright so that's what we have the copyright so that's what we have the copyright office for and I don't know how well office for and I don't know how well office for and I don't know how well staff they are to handle something like staff they are to handle something like staff they are to handle something like this but this is the biggest copyright this but this is the biggest copyright this but this is the biggest copyright violation in the history of that office violation in the history of that office violation in the history of that office the entertain business will be flattened the entertain business will be flattened the entertain business will be flattened because the entertainment business is a because the entertainment business is a because the entertainment business is a is a pipeline of Duties right from is a pipeline of Duties right from is a pipeline of Duties right from conception to release and you take a too conception to release and you take a too conception to release and you take a too many chunks of that Pipeline and it yeah a little bit kind of kind of see it yeah a little bit kind of kind of see that a little that a little that a little bit not sure I toally 100% bit not sure I toally 100% bit not sure I toally 100% aligned Ben affle and her oh Ryan's m's aligned Ben affle and her oh Ryan's m's aligned Ben affle and her oh Ryan's m's on on on mute it's weird if someone takes my car mute it's weird if someone takes my car mute it's weird if someone takes my car I don't have a car to use if someone I don't have a car to use if someone I don't have a car to use if someone reads an article reads an article reads an article online they still have an article to online they still have an article to online they still have an article to read online yeah I don't think it's the read online yeah I don't think it's the read online yeah I don't think it's the best analogy that she's using there best analogy that she's using there best analogy that she's using there she's talking about remember right as she's talking about remember right as she's talking about remember right as soon as chat GPT came out and then you soon as chat GPT came out and then you soon as chat GPT came out and then you started seeing lawsuits from Lady Gaga started seeing lawsuits from Lady Gaga started seeing lawsuits from Lady Gaga and authors of novels saying I'm finding

  35. and authors of novels saying I'm finding and authors of novels saying I'm finding everything about my novel inside your everything about my novel inside your everything about my novel inside your llm that's kind of what she was getting llm that's kind of what she was getting llm that's kind of what she was getting at copyrighted Works yes that wasn't at copyrighted Works yes that wasn't at copyrighted Works yes that wasn't open in public but they scanned it and open in public but they scanned it and open in public but they scanned it and grabbed it anyway yeah no definitely grabbed it anyway yeah no definitely grabbed it anyway yeah no definitely like there's a training there's like there's a training there's like there's a training there's violations of copyright when people are violations of copyright when people are violations of copyright when people are training on copyrighted material I mean training on copyrighted material I mean training on copyrighted material I mean no question and right now there's no no question and right now there's no no question and right now there's no architecture or even kind of laws on the architecture or even kind of laws on the architecture or even kind of laws on the books to make that transparent about but books to make that transparent about but books to make that transparent about but you know here's here's the problem you know here's here's the problem you know here's here's the problem there's there's data for making your there's there's data for making your there's there's data for making your model better and then there is data to model better and then there is data to model better and then there is data to make it all knowing and those are two make it all knowing and those are two make it all knowing and those are two different things and so what they're different things and so what they're different things and so what they're trying to do with AGI is make it all trying to do with AGI is make it all trying to do with AGI is make it all knowing as well uh and so the Dilemma knowing as well uh and so the Dilemma knowing as well uh and so the Dilemma they face is how do you do that when the they face is how do you do that when the they face is how do you do that when the Corpus of data that you're these things Corpus of data that you're these things Corpus of data that you're these things are ingesting are of dubious quality are ingesting are of dubious quality are ingesting are of dubious quality number one um there is no there is no number one um there is no there is no number one um there is no there is no marker for what is good bad I mean you marker for what is good bad I mean you marker for what is good bad I mean you know actually the wor what's not true know actually the wor what's not true know actually the wor what's not true best case which is actually pretty best case which is actually pretty best case which is actually pretty horrible is relevance uh a relevant horrible is relevance uh a relevant horrible is relevance uh a relevant score something like that that might uh score something like that that might uh score something like that that might uh might somehow arbitrarily be um tagged might somehow arbitrarily be um tagged might somehow arbitrarily be um tagged by a bunch of people who might just be by a bunch of people who might just be by a bunch of people who might just be meming the meming the meming the content you know what it's it's a content you know what it's it's a content you know what it's it's a formula for disaster none of this stuff

  36. formula for disaster none of this stuff formula for disaster none of this stuff works out in terms of uh being able to works out in terms of uh being able to works out in terms of uh being able to um you know develop a a AI or um you know develop a a AI or um you know develop a a AI or AGI that is quality do you know what I'm AGI that is quality do you know what I'm AGI that is quality do you know what I'm saying and that deficiency in quality saying and that deficiency in quality saying and that deficiency in quality can manifest itself in a lot of really can manifest itself in a lot of really can manifest itself in a lot of really nasty ways like what you know what these nasty ways like what you know what these nasty ways like what you know what these research are finding with o1 right and research are finding with o1 right and research are finding with o1 right and obviously they need to that that study obviously they need to that that study obviously they need to that that study also needs to be vetted but it wouldn't also needs to be vetted but it wouldn't also needs to be vetted but it wouldn't surprise me it's like it's the simple surprise me it's like it's the simple surprise me it's like it's the simple formula junk in junk out I mean gez that formula junk in junk out I mean gez that formula junk in junk out I mean gez that has not changed has not changed has not changed I think those researchers are finding I think those researchers are finding I think those researchers are finding that there's a survival Instinct that there's a survival Instinct that there's a survival Instinct basic that's that's a good way to put it basic that's that's a good way to put it basic that's that's a good way to put it I mean I don't even know why I mean why I mean I don't even know why I mean why I mean I don't even know why I mean why do I even have to say that again or any do I even have to say that again or any do I even have to say that again or any of us have to say that again junk in of us have to say that again junk in of us have to say that again junk in junk out data Integrity data quality junk out data Integrity data quality junk out data Integrity data quality we've heard this for years right DK in we've heard this for years right DK in we've heard this for years right DK in the trunk the trunk the trunk yeah that's a by the way if you guys are yeah that's a by the way if you guys are yeah that's a by the way if you guys are looking for a good analysis of the looking for a good analysis of the looking for a good analysis of the evolution of Hollywood and AI there's evolution of Hollywood and AI there's evolution of Hollywood and AI there's the New York Times Daily podcast this the New York Times Daily podcast this the New York Times Daily podcast this past week had a really good segment on past week had a really good segment on past week had a really good segment on that and where they think generative AI that and where they think generative AI that and where they think generative AI will actually be used in entertainment will actually be used in entertainment will actually be used in entertainment and stuff and so anyone wants to double and stuff and so anyone wants to double and stuff and so anyone wants to double click on that go look it up it's it's a click on that go look it up it's it's a click on that go look it up it's it's a good it's it's a good uh analysis of all good it's it's a good uh analysis of all good it's it's a good uh analysis of all the elements of U you know there's a lot the elements of U you know there's a lot the elements of U you know there's a lot of parts of Hollywood today that are of parts of Hollywood today that are of parts of Hollywood today that are very manual and very expensive and very

  37. very manual and very expensive and very very manual and very expensive and very difficult to do and and and AI is going difficult to do and and and AI is going difficult to do and and and AI is going to help you know actually flatten that to help you know actually flatten that to help you know actually flatten that cost and enable more content to be cost and enable more content to be cost and enable more content to be created most of that will be slop of created most of that will be slop of created most of that will be slop of course we'll have the what typical course we'll have the what typical course we'll have the what typical Netflix movie what's that called tnf Netflix movie what's that called tnf Netflix movie what's that called tnf whatever uh that'll just be AI generated whatever uh that'll just be AI generated whatever uh that'll just be AI generated slop yeah but there there's definitely slop yeah but there there's definitely slop yeah but there there's definitely it's it's an interesting it's it's an interesting it's it's an interesting analysis yeah I'd like I'm gonna check analysis yeah I'd like I'm gonna check analysis yeah I'd like I'm gonna check it out by the way I think Pete Bernard it out by the way I think Pete Bernard it out by the way I think Pete Bernard should be a disc jockey on radio he's should be a disc jockey on radio he's should be a disc jockey on radio he's got the best sounding voice just it's my got the best sounding voice just it's my got the best sounding voice just it's my microphone here that's microphone microphone here that's microphone microphone here that's microphone microphone that you bought microphone that you bought microphone that you bought yeah Oliver is it Oliver or yeah Oliver is it Oliver or yeah Oliver is it Oliver or Olivier Olivier yeah Olivier why you Olivier Olivier yeah Olivier why you Olivier Olivier yeah Olivier why you keep calling him Oliver man we call me keep calling him Oliver man we call me keep calling him Oliver man we call me Oliver no yeah Pete sometimes is like Oliver no yeah Pete sometimes is like Oliver no yeah Pete sometimes is like but that's fine no worries some he most but that's fine no worries some he most but that's fine no worries some he most of his time calls me ol VA that's okay I of his time calls me ol VA that's okay I of his time calls me ol VA that's okay I figured yeah because I saw that extra figured yeah because I saw that extra figured yeah because I saw that extra eye that doesn't look like it belongs eye that doesn't look like it belongs eye that doesn't look like it belongs there but is so that makes you French there but is so that makes you French there but is so that makes you French anyways uh on text anyways uh on text anyways uh on text say all right say all right say all right [Laughter] much all right all right oh my gosh yeah much all right all right oh my gosh yeah it's that time to take us it's that time to take us it's that time to take us out I think Ryan should because I hardly out I think Ryan should because I hardly out I think Ryan should because I hardly ever see him oh man yeah it's how he

  38. ever see him oh man yeah it's how he ever see him oh man yeah it's how he gets nervous I always forget I'm bad at gets nervous I always forget I'm bad at gets nervous I always forget I'm bad at these these these things uh let's see thanks thanks for things uh let's see thanks thanks for things uh let's see thanks thanks for joining us on iot Coffee Talk make sure joining us on iot Coffee Talk make sure joining us on iot Coffee Talk make sure you donate to elevat our kids.org very you donate to elevat our kids.org very you donate to elevat our kids.org very important cause that uh we all care important cause that uh we all care important cause that uh we all care about and you should about and you should about and you should too that's that's all okay Merry too that's that's all okay Merry too that's that's all okay Merry Christmas Merry Christmas happy holidays Christmas Merry Christmas happy holidays Christmas Merry Christmas happy holidays holidays holidays holidays holiday see you on the other side have a holiday see you on the other side have a holiday see you on the other side have a great week

Summary

The main theme is a discussion about the effectiveness of master classes, particularly within the context of industrial automation events. Key subjects mentioned include "Automation Ladies," system integrators, and the evolution of educational content from "dummies" to "masters." The practical takeaway is that educational sessions must be highly practical and skill-building to be considered valuable and impactful.

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