IoT Coffee Talk: Episode 215 - Tiny Smart Sensors

oh oh wow love your light show Demitri what a wow love your light show Demitri what a wow love your light show Demitri what a great song Panama was man I know wow great song Panama was man I know wow great song Panama was man I know wow what is that about is it about panwa the what is that about is it about panwa the what is that about is it about panwa the actual actual actual country or I don't know Panama Hat I country or I don't know Panama Hat I country or I don't know Panama Hat I thought it was Panama Hat maybe it's thought it was Panama Hat maybe it's thought it was Panama Hat maybe it's Panama Jack I know it has something to Panama Jack I know it has something to Panama Jack I know it has something to do about do about do about stocking think there's a woman named stocking think there's a woman named stocking think there's a woman named Panama yeah a car knowing those guys I Panama yeah a car knowing those guys I Panama yeah a car knowing those guys I don't know popping you know they're down don't know popping you know they're down don't know popping you know they're down doing their Cabo Wabo thing right and doing their Cabo Wabo thing right and doing their Cabo Wabo thing right and you know that's preh haar this song's you know that's preh haar this song's you know that's preh haar this song's preh haar that's true that's true that's preh haar that's true that's true that's preh haar that's true that's true that's good point you're right yeah the only good point you're right yeah the only good point you're right yeah the only reason why I play is I I is the only reason why I play is I I is the only reason why I play is I I is the only popped in my head I was like oh my popped in my head I was like oh my popped in my head I was like oh my God you know episode 200 blah blah blah God you know episode 200 blah blah blah God you know episode 200 blah blah blah and uh some trivia from 1984 um J I used and uh some trivia from 1984 um J I used and uh some trivia from 1984 um J I used to like you're going you know back in to like you're going you know back in to like you're going you know back in the day the Golden Age of audio the day the Golden Age of audio the day the Golden Age of audio equipment audio file equipment happened equipment audio file equipment happened equipment audio file equipment happened in the 70s and started to Peter out in in the 70s and started to Peter out in in the 70s and started to Peter out in the early 80s when everything went to the early 80s when everything went to the early 80s when everything went to hell in a hand basket with with audio hell in a hand basket with with audio hell in a hand basket with with audio gear um but there would be certain songs gear um but there would be certain songs gear um but there would be certain songs that you would want to play like you go that you would want to play like you go that you would want to play like you go into this Hi-Fi store like Pacific into this Hi-Fi store like Pacific into this Hi-Fi store like Pacific Stereo or some other high-end place and Stereo or some other high-end place and Stereo or some other high-end place and you want to test out an amplifier and you want to test out an amplifier and you want to test out an amplifier and speakers how good does it sound I found speakers how good does it sound I found speakers how good does it sound I found one of the best things to try would be one of the best things to try would be one of the best things to try would be hot for teacher the beginning of it the hot for teacher the beginning of it the hot for teacher the beginning of it the drums drums drums remember how it remember how it remember how it starts that's a good reference that is a

starts that's a good reference that is a starts that's a good reference that is a good reference yeah that was a great way good reference yeah that was a great way good reference yeah that was a great way how tight does it sound um I remember how tight does it sound um I remember how tight does it sound um I remember does anybody remember Bob Carver he made does anybody remember Bob Carver he made does anybody remember Bob Carver he made amplifiers oh yeah Carver amps I think amplifiers oh yeah Carver amps I think amplifiers oh yeah Carver amps I think he was out of Massachusetts I think and he was out of Massachusetts I think and he was out of Massachusetts I think and so at some point he had something called so at some point he had something called so at some point he had something called the Carver holographic cube and it was the Carver holographic cube and it was the Carver holographic cube and it was like a 200 watt per Channel amplifier in like a 200 watt per Channel amplifier in like a 200 watt per Channel amplifier in the size of a cube and the backstory is the size of a cube and the backstory is the size of a cube and the backstory is that he originally created it in a that he originally created it in a that he originally created it in a coffee can for all you kids out there coffee can for all you kids out there coffee can for all you kids out there that don't know what that is there used that don't know what that is there used that don't know what that is there used to be something called folders crystals to be something called folders crystals to be something called folders crystals that we've secretly replaced at our that we've secretly replaced at our that we've secretly replaced at our high-end restaurant anyway he built an high-end restaurant anyway he built an high-end restaurant anyway he built an amplifier and a folders crystals coffee amplifier and a folders crystals coffee amplifier and a folders crystals coffee can and then made it into a cube and so can and then made it into a cube and so can and then made it into a cube and so that was a great way to test it is the that was a great way to test it is the that was a great way to test it is the beginning of Hot for Teacher little beginning of Hot for Teacher little beginning of Hot for Teacher little trivia there wow yeah trivia you hoped trivia there wow yeah trivia you hoped trivia there wow yeah trivia you hoped you weren't getting yeah I used to use you weren't getting yeah I used to use you weren't getting yeah I used to use Can't You Hear Me Knocking as my Can't You Hear Me Knocking as my Can't You Hear Me Knocking as my reference tune the opening guitar reference tune the opening guitar reference tune the opening guitar yeah yeah so and wow look at we have yeah yeah so and wow look at we have yeah yeah so and wow look at we have like a crowd here hey how's got a Crowd like a crowd here hey how's got a Crowd like a crowd here hey how's got a Crowd by the way since by the way since by the way since uh since we have mark this week I have a uh since we have mark this week I have a uh since we have mark this week I have a special special special announcement tada this is for you Mark I find it on tada this is for you Mark I find it on eBay I recondition it and it's ready for eBay I recondition it and it's ready for eBay I recondition it and it's ready for you oh my gift to you I know you want you oh my gift to you I know you want you oh my gift to you I know you want for a while the first iot for a while the first iot for a while the first iot devices yeah so what's up Tom it's been

devices yeah so what's up Tom it's been devices yeah so what's up Tom it's been a while I know right um so I've been in a while I know right um so I've been in a while I know right um so I've been in Milan with Pete in fact we're both in Milan with Pete in fact we're both in Milan with Pete in fact we're both in Milan right now uh you're not the same Milan right now uh you're not the same Milan right now uh you're not the same not in the same area no oh we're not not in the same area no oh we're not not in the same area no oh we're not we're not although we might have we we're not although we might have we we're not although we might have we might meet up later might meet up later might meet up later perhaps um oh wow perhaps um oh wow perhaps um oh wow that's you hate you in that looks great that's you hate you in that looks great that's you hate you in that looks great oh my God this is this is a great to how oh my God this is this is a great to how oh my God this is this is a great to how Europe is divided nowadays they can't Europe is divided nowadays they can't Europe is divided nowadays they can't even be in the same place in the same even be in the same place in the same even be in the same place in the same city well we we have been in the same city well we we have been in the same city well we we have been in the same place for the last two days we have yes place for the last two days we have yes place for the last two days we have yes all week all week no no yeah I've seen all week all week no no yeah I've seen all week all week no no yeah I've seen some some social media on that wow well some some social media on that wow well some some social media on that wow well tell us all about it how's the tiny ml tell us all about it how's the tiny ml tell us all about it how's the tiny ml event going yeah well we finished uh we event going yeah well we finished uh we event going yeah well we finished uh we finished today uh after three days and finished today uh after three days and finished today uh after three days and uh it was great I think we had more uh it was great I think we had more uh it was great I think we had more attendance than the US to be honest with attendance than the US to be honest with attendance than the US to be honest with you awesome uh tons of you awesome uh tons of you awesome uh tons of presentations a lot of students local presentations a lot of students local presentations a lot of students local students from Academia universities here students from Academia universities here students from Academia universities here we had some great demos demo tables and we had some great demos demo tables and we had some great demos demo tables and stuff Tom was Tom was out there in the stuff Tom was Tom was out there in the stuff Tom was Tom was out there in the mix doing some video and doing his mix doing some video and doing his mix doing some video and doing his business and uh so now we're we're business and uh so now we're we're business and uh so now we're we're basically done so I'm flying back basically done so I'm flying back basically done so I'm flying back tomorrow but it was it was a huge week tomorrow but it was it was a huge week tomorrow but it was it was a huge week and uh just a ton of content so it's and uh just a ton of content so it's and uh just a ton of content so it's pretty exciting oh wow that's awesome pretty exciting oh wow that's awesome pretty exciting oh wow that's awesome that's so cool well you know you're that's so cool well you know you're that's so cool well you know you're you're a Europe is lagging in data you're a Europe is lagging in data you're a Europe is lagging in data center buildout for all this AI center buildout for all this AI center buildout for all this AI supercomputing so you might as well go supercomputing so you might as well go supercomputing so you might as well go tiny right right exactly might as well tiny right right exactly might as well tiny right right exactly might as well start running on the edge wow this could start running on the edge wow this could start running on the edge wow this could be like a new like tagline or something

be like a new like tagline or something be like a new like tagline or something for a tiny for a tiny for a tiny Aman that's a good slogan I like it I'm Aman that's a good slogan I like it I'm Aman that's a good slogan I like it I'm gonna steal that beat him go gonna steal that beat him go gonna steal that beat him go tiny tiny tiny tiny tiny tiny tiny the tiny are you scared of those tiny the tiny are you scared of those tiny the tiny are you scared of those big imperialist American data center go big imperialist American data center go big imperialist American data center go tiny ml in Europe there you go exactly tiny ml in Europe there you go exactly tiny ml in Europe there you go exactly you know wow when someone just says the you know wow when someone just says the you know wow when someone just says the word Europe all I think about is The word Europe all I think about is The word Europe all I think about is The Final Countdown but but that's just me Final Countdown but but that's just me Final Countdown but but that's just me oh yeah obscure reference obscure reference oh my gosh yeah good times y reference oh my gosh yeah good times y what's up what's up what's up man just got back from vacation so I'm man just got back from vacation so I'm man just got back from vacation so I'm still uh kind of in limbo and some some still uh kind of in limbo and some some still uh kind of in limbo and some some levels just get back and stuff but it levels just get back and stuff but it levels just get back and stuff but it was great though nice to take take a was great though nice to take take a was great though nice to take take a month off or a week off I mean month off month off or a week off I mean month off month off or a week off I mean month off month off that's in Europe right yeah I month off that's in Europe right yeah I month off that's in Europe right yeah I was about to say you're not in Europe was about to say you're not in Europe was about to say you're not in Europe yeah I'm not in Europe anymore yeah if yeah I'm not in Europe anymore yeah if yeah I'm not in Europe anymore yeah if you say taking a month off in the United you say taking a month off in the United you say taking a month off in the United States it means you're unemployed States it means you're unemployed States it means you're unemployed yes there worse you're in sabatical yes there worse you're in sabatical yes there worse you're in sabatical you're sabatical yeah but Europe it you're sabatical yeah but Europe it you're sabatical yeah but Europe it means it's August means it's August means it's August yeah Europe is easy exactly yeah yeah it yeah Europe is easy exactly yeah yeah it yeah Europe is easy exactly yeah yeah it means you're watching all the Dutch means you're watching all the Dutch means you're watching all the Dutch people drive Southward with their RVs people drive Southward with their RVs people drive Southward with their RVs and campers and stuff like that heading and campers and stuff like that heading and campers and stuff like that heading down somewhere I remember seeing that a down somewhere I remember seeing that a down somewhere I remember seeing that a lot yeah then you don't know how right lot yeah then you don't know how right lot yeah then you don't know how right you are with their

you are with their you are with their stuff of people hate them in stuff of people hate them in stuff of people hate them in France everything and they don't buy France everything and they don't buy France everything and they don't buy anything in the local shop anything in the local shop anything in the local shop oh we had toilet papers everything oh we had toilet papers everything oh we had toilet papers everything everything Germans that's the same with everything Germans that's the same with everything Germans that's the same with Germans when they come up to Denmark I Germans when they come up to Denmark I Germans when they come up to Denmark I mean there's even even Germans that mean there's even even Germans that mean there's even even Germans that bring their camper and a fence and they bring their camper and a fence and they bring their camper and a fence and they put a fence around it you know like this put a fence around it you know like this put a fence around it you know like this fence oh yeah just little like little fence oh yeah just little like little fence oh yeah just little like little little fence like that like a little bar little fence like that like a little bar little fence like that like a little bar wire fence like cona wire like wire fence like cona wire like wire fence like cona wire like historically they were not invited many historically they were not invited many historically they were not invited many times OPP gosh we're getting into the OPP gosh we're getting into the politically incorrect Edition politically incorrect Edition politically incorrect Edition today yeah hey but hey Pete what were today yeah hey but hey Pete what were today yeah hey but hey Pete what were some of the big takeaways from the some of the big takeaways from the some of the big takeaways from the conference I mean other than the like conference I mean other than the like conference I mean other than the like there were more people tend yeah in there were more people tend yeah in there were more people tend yeah in Europe then you know it was really Europe then you know it was really Europe then you know it was really interesting it was a lot of good sensor interesting it was a lot of good sensor interesting it was a lot of good sensor stuff I know you're were at that sensor stuff I know you're were at that sensor stuff I know you're were at that sensor show there was a lot of really show there was a lot of really show there was a lot of really interesting stuff like using Motors as interesting stuff like using Motors as interesting stuff like using Motors as sensors like a lot of Brownfield like sensors like a lot of Brownfield like sensors like a lot of Brownfield like how do you adapt AI you know on kind of how do you adapt AI you know on kind of how do you adapt AI you know on kind of Brownfield equipment using sort of like Brownfield equipment using sort of like Brownfield equipment using sort of like more natural sensor type stuff so that more natural sensor type stuff so that more natural sensor type stuff so that was pretty cool we saw a lot of good was pretty cool we saw a lot of good was pretty cool we saw a lot of good stuff on that um so a lot of people stuff on that um so a lot of people stuff on that um so a lot of people trying to run AI not necessarily on the trying to run AI not necessarily on the trying to run AI not necessarily on the latest Hardware like waiting for the latest Hardware like waiting for the latest Hardware like waiting for the next chip but actually trying to run AI next chip but actually trying to run AI next chip but actually trying to run AI models now that it's getting more models now that it's getting more models now that it's getting more efficient and effective like running it efficient and effective like running it efficient and effective like running it on I wouldn't say older equipment but on I wouldn't say older equipment but on I wouldn't say older equipment but you know more mainstream silicon and you know more mainstream silicon and you know more mainstream silicon and platforms so that was pretty cool to see

platforms so that was pretty cool to see platforms so that was pretty cool to see that lot Innovation on that and then we that lot Innovation on that and then we that lot Innovation on that and then we saw a lot of interesting like saw a lot of interesting like saw a lot of interesting like Transformer model gen stuff too really Transformer model gen stuff too really Transformer model gen stuff too really running on you know smaller models running on you know smaller models running on you know smaller models running on smaller platforms I mean running on smaller platforms I mean running on smaller platforms I mean every month it's just getting more and every month it's just getting more and every month it's just getting more and more efficient so I think we're going to more efficient so I think we're going to more efficient so I think we're going to start to see more deployment of some of start to see more deployment of some of start to see more deployment of some of the some of the generative AI stuff over the some of the generative AI stuff over the some of the generative AI stuff over the next year on on you know fairly the next year on on you know fairly the next year on on you know fairly mainstream Hardware that's interesting mainstream Hardware that's interesting mainstream Hardware that's interesting wow sensors converge I kind of heard the wow sensors converge I kind of heard the wow sensors converge I kind of heard the opposite there they like over the course opposite there they like over the course opposite there they like over the course of last year they were tinkering with of last year they were tinkering with of last year they were tinkering with Transformer uh neural networks and Transformer uh neural networks and Transformer uh neural networks and trying to maybe augment whatever they're trying to maybe augment whatever they're trying to maybe augment whatever they're doing on um you know uh with their doing on um you know uh with their doing on um you know uh with their inference and you ml inference inference and you ml inference inference and you ml inference and I don't think it's really taking uh and I don't think it's really taking uh and I don't think it's really taking uh I I think they're just realizing this I I think they're just realizing this I I think they're just realizing this this is a little bit more difficult to this is a little bit more difficult to this is a little bit more difficult to deploy and more complex than we really deploy and more complex than we really deploy and more complex than we really need for certain applications that um need for certain applications that um need for certain applications that um are yeah no I mean I think the scenarios are yeah no I mean I think the scenarios are yeah no I mean I think the scenarios are mostly like how do you take the are mostly like how do you take the are mostly like how do you take the sensor data and then you know use llms sensor data and then you know use llms sensor data and then you know use llms to interpret the sensor data yeah maybe to interpret the sensor data yeah maybe to interpret the sensor data yeah maybe at a higher level so we I heard a lot at a higher level so we I heard a lot at a higher level so we I heard a lot about maybe Gateway but yeah it's it's about maybe Gateway but yeah it's it's about maybe Gateway but yeah it's it's far removed from the sensor but um far removed from the sensor but um far removed from the sensor but um there's a a bit more talk about mpu there's a a bit more talk about mpu there's a a bit more talk about mpu simply because like folks like Arm Are simply because like folks like Arm Are simply because like folks like Arm Are introducing that into their their um you introducing that into their their um you introducing that into their their um you know dev kit if you will and so I think

know dev kit if you will and so I think know dev kit if you will and so I think that might be a thing going forward that might be a thing going forward that might be a thing going forward because there's already momentum for ML because there's already momentum for ML because there's already momentum for ML and Tiny and Tiny and Tiny ml all the way down to the sensor level ml all the way down to the sensor level ml all the way down to the sensor level and I heard some people talk about uh a and I heard some people talk about uh a and I heard some people talk about uh a 1,800 times reduction in data flowing to 1,800 times reduction in data flowing to 1,800 times reduction in data flowing to the cloud so that's something for I was like no no wait so 18 times oh wow I was like no no wait so 18 times oh wow that's pretty big no no no no 1800 I that's pretty big no no no no 1800 I that's pretty big no no no no 1800 I want more well you know like you said if want more well you know like you said if want more well you know like you said if you can get it done where the data is you can get it done where the data is you can get it done where the data is created we had a woman from Loda do a created we had a woman from Loda do a created we had a woman from Loda do a keynote yeah and she the the rayb ban uh keynote yeah and she the the rayb ban uh keynote yeah and she the the rayb ban uh glasses and she went into a lot of glasses and she went into a lot of glasses and she went into a lot of detail on kind of the requirements detail on kind of the requirements detail on kind of the requirements around wearables and where that's around wearables and where that's around wearables and where that's heading and one of the interesting heading and one of the interesting heading and one of the interesting scenarios they had was like when you're scenarios they had was like when you're scenarios they had was like when you're wearing these kind of glasses they can wearing these kind of glasses they can wearing these kind of glasses they can actually look at the motion of your eyes actually look at the motion of your eyes actually look at the motion of your eyes and do Det like concussion and do Det like concussion and do Det like concussion detection oh wow they can actually see detection oh wow they can actually see detection oh wow they can actually see the movement of your eyes and see and the movement of your eyes and see and the movement of your eyes and see and and suggest like maybe you had a and suggest like maybe you had a and suggest like maybe you had a concussion or you should just get concussion or you should just get concussion or you should just get treated or something so all like now treated or something so all like now treated or something so all like now Health byproducts of some of this these Health byproducts of some of this these Health byproducts of some of this these wearables really fascinating yeah but wearables really fascinating yeah but wearables really fascinating yeah but this this will not be a geni use case I this this will not be a geni use case I this this will not be a geni use case I mean it's more I it traditional no mean it's more I it traditional no mean it's more I it traditional no that's not gen no that's not gen no that's not gen no that's I would be curious have you seen that's I would be curious have you seen that's I would be curious have you seen specific use case of gen on a tiny ml specific use case of gen on a tiny ml specific use case of gen on a tiny ml environment or is it just still a techn environment or is it just still a techn environment or is it just still a techn gener technology this we've not I mean gener technology this we've not I mean gener technology this we've not I mean nothing nothing yet deployed you know we nothing nothing yet deployed you know we nothing nothing yet deployed you know we were talking to some folks around they were talking to some folks around they were talking to some folks around they do a lot of sensors in the hospital

do a lot of sensors in the hospital do a lot of sensors in the hospital rooms you know and like how a nurse rooms you know and like how a nurse rooms you know and like how a nurse could come in and the llm can interpret could come in and the llm can interpret could come in and the llm can interpret all the sensors and say how the patient all the sensors and say how the patient all the sensors and say how the patient is doing over the past 24 hours and kind is doing over the past 24 hours and kind is doing over the past 24 hours and kind of explain that to the nurse you know of explain that to the nurse you know of explain that to the nurse you know and and kind of you know how do you how and and kind of you know how do you how and and kind of you know how do you how do you collect all this disperate kind do you collect all this disperate kind do you collect all this disperate kind of weird information and make sense out of weird information and make sense out of weird information and make sense out of it so I think I think we'll start to of it so I think I think we'll start to of it so I think I think we'll start to see geni used on sensor data like that see geni used on sensor data like that see geni used on sensor data like that yeah the problem is this is yeah the problem is this is yeah the problem is this is you you are probably going to need the you you are probably going to need the you you are probably going to need the put the sensors in the in the rooms for put the sensors in the in the rooms for put the sensors in the in the rooms for a year or two before you have enough a year or two before you have enough a year or two before you have enough specialized data so that the Gen can specialized data so that the Gen can specialized data so that the Gen can work maybe maybe again you have to ask work maybe maybe again you have to ask work maybe maybe again you have to ask yourself always when it talks about gen yourself always when it talks about gen yourself always when it talks about gen how much how much how much documentation is is there in this domain documentation is is there in this domain documentation is is there in this domain so that the training has has actually so that the training has has actually so that the training has has actually infused that into what the genm can do infused that into what the genm can do infused that into what the genm can do well you're right the data sets are key well you're right the data sets are key well you're right the data sets are key you know the data sets are key and you know the data sets are key and you know the data sets are key and that's one of the things we're doing that's one of the things we're doing that's one of the things we're doing actually is releasing data sets into actually is releasing data sets into actually is releasing data sets into Community uh to help people accelerate Community uh to help people accelerate Community uh to help people accelerate some of these deployments yeah this is a very good deployments yeah this is a very good idea because if you if you actually it's idea because if you if you actually it's idea because if you if you actually it's a very good idea I believe I haven't a very good idea I believe I haven't a very good idea I believe I haven't thought about that curating data for thought about that curating data for thought about that curating data for specifically for Gen creating data sets specifically for Gen creating data sets specifically for Gen creating data sets that actually help in domains is a that actually help in domains is a that actually help in domains is a probably right that are more domain probably right that are more domain probably right that are more domain oriented yeah so we have one that we we oriented yeah so we have one that we we oriented yeah so we have one that we we just announced at the Wake Vision one just announced at the Wake Vision one just announced at the Wake Vision one but we're goingon to have some more of but we're goingon to have some more of but we're goingon to have some more of those to so because no process we have those to so because no process we have those to so because no process we have limited control over what gets into limited control over what gets into limited control over what gets into today's gen models they Bic scrap the today's gen models they Bic scrap the today's gen models they Bic scrap the internet or whatever they can find well internet or whatever they can find well internet or whatever they can find well that's the problem is they're they're that's the problem is they're they're that's the problem is they're they're eating junk food and you know it's not a

eating junk food and you know it's not a eating junk food and you know it's not a good diet there of it yeah you know and good diet there of it yeah you know and good diet there of it yeah you know and I think Apple's done the world a favor I think Apple's done the world a favor I think Apple's done the world a favor by distinguishing between sort of more by distinguishing between sort of more by distinguishing between sort of more the narrow uh focused applications of the narrow uh focused applications of the narrow uh focused applications of generative AI Tech versus the world generative AI Tech versus the world generative AI Tech versus the world model crap I think the world model stuff model crap I think the world model stuff model crap I think the world model stuff is much more is much more is much more controversial it has more of the controversial it has more of the controversial it has more of the disturbing uh social you know disturbing uh social you know disturbing uh social you know implications whereas things on that are implications whereas things on that are implications whereas things on that are on device maybe more narrow in function on device maybe more narrow in function on device maybe more narrow in function where the data sets can be curated and where the data sets can be curated and where the data sets can be curated and controlled managed uh for reliability I controlled managed uh for reliability I controlled managed uh for reliability I think that's where the value is going to think that's where the value is going to think that's where the value is going to land and you know um for our audience or land and you know um for our audience or land and you know um for our audience or especially everyone who thinks I'm like especially everyone who thinks I'm like especially everyone who thinks I'm like a fraking j I hater you're a hater I've a fraking j I hater you're a hater I've a fraking j I hater you're a hater I've been saying the whole time this is where been saying the whole time this is where been saying the whole time this is where it's going to land right I you're a it's going to land right I you're a it's going to land right I you're a hater I know why he's hey y'all the hater I know why he's hey y'all the hater I know why he's hey y'all the reason why yeah I heard that crap man reason why yeah I heard that crap man reason why yeah I heard that crap man the the the reason I think he's softening to J he reason I think he's softening to J he reason I think he's softening to J he like no I am not man I am hard there's a like no I am not man I am hard there's a like no I am not man I am hard there's a reason that Leonard feels this way he's reason that Leonard feels this way he's reason that Leonard feels this way he's got PTSD from everyone's favorite bot on got PTSD from everyone's favorite bot on got PTSD from everyone's favorite bot on Twitter Tay and what happened when you Twitter Tay and what happened when you Twitter Tay and what happened when you absorb everything on Twitter or the absorb everything on Twitter or the absorb everything on Twitter or the internet it only takes about 24 hours to internet it only takes about 24 hours to internet it only takes about 24 hours to turn into Hitler so be careful not even turn into Hitler so be careful not even turn into Hitler so be careful not even not even not even I was traumatized yeah

not even not even I was traumatized yeah not even not even I was traumatized yeah a lot of trauma out there a lot of a lot of trauma out there a lot of a lot of trauma out there a lot of lessons to be learned there so the lessons to be learned there so the lessons to be learned there so the curated thing good curation not bad curated thing good curation not bad curated thing good curation not bad curation I have a question is this going curation I have a question is this going curation I have a question is this going to be so big that some the tech to be so big that some the tech to be so big that some the tech companies are going to need to invent a companies are going to need to invent a companies are going to need to invent a new kind of file system to hold the new kind of file system to hold the new kind of file system to hold the world's largest CSV file with the data world's largest CSV file with the data world's largest CSV file with the data set set set orc for J is just text so that's the orc for J is just text so that's the orc for J is just text so that's the easy parts that's the beauty of it to easy parts that's the beauty of it to easy parts that's the beauty of it to some extent so I don't think so all some extent so I don't think so all some extent so I don't think so all right all right so unrelated to AI last right all right so unrelated to AI last right all right so unrelated to AI last night I got to do something really cool night I got to do something really cool night I got to do something really cool there was like this total new wave80s there was like this total new wave80s there was like this total new wave80s totally tubular Music Festival that I totally tubular Music Festival that I totally tubular Music Festival that I went to with my wife and some friends went to with my wife and some friends went to with my wife and some friends let me just tell you some of the names let me just tell you some of the names let me just tell you some of the names that we had last night that we had last night that we had last night you guys are going to be so jealous we you guys are going to be so jealous we you guys are going to be so jealous we had Bow Wow Wow you know like I want had Bow Wow Wow you know like I want had Bow Wow Wow you know like I want candy you know that kind of stuff we had candy you know that kind of stuff we had candy you know that kind of stuff we had the tubes do you remember the tubes talk the tubes do you remember the tubes talk the tubes do you remember the tubes talk to you later you know and uh anyway we to you later you know and uh anyway we to you later you know and uh anyway we had Men Without Hats Safety Dance I was had Men Without Hats Safety Dance I was had Men Without Hats Safety Dance I was totally doing The Safety Dance you totally doing The Safety Dance you totally doing The Safety Dance you know we had Modern English with their know we had Modern English with their know we had Modern English with their hit Melt With You awesome you know did hit Melt With You awesome you know did hit Melt With You awesome you know did everybody remember watching like Valley everybody remember watching like Valley everybody remember watching like Valley Girl 16 Candles all those did each did Girl 16 Candles all those did each did Girl 16 Candles all those did each did each band play like one song each band each band play like one song each band each band play like one song each band was allowed to play like three or four was allowed to play like three or four was allowed to play like three or four songs because you're right the festival songs because you're right the festival songs because you're right the festival started like at 5 something and it had started like at 5 something and it had started like at 5 something and it had to end by a certain time so it was out

to end by a certain time so it was out to end by a certain time so it was out in the country in Carnation Washington in the country in Carnation Washington in the country in Carnation Washington and the reason Incarnation Washington is and the reason Incarnation Washington is and the reason Incarnation Washington is it's near where I live and this is nwam it's near where I live and this is nwam it's near where I live and this is nwam Valley the reason it's named that takes Valley the reason it's named that takes Valley the reason it's named that takes us all the way back to us all the way back to us all the way back to Switzerland to one of my favorite places Switzerland to one of my favorite places Switzerland to one of my favorite places veevie you know a home of veevie you know a home of veevie you know a home of ding Nestle's headquarters there and ding Nestle's headquarters there and ding Nestle's headquarters there and Nestle if you remember Carnation milk Nestle if you remember Carnation milk Nestle if you remember Carnation milk and all their products anyway there's a and all their products anyway there's a and all their products anyway there's a reason it's all called that cuz their reason it's all called that cuz their reason it's all called that cuz their whole headquarters for all that stuff whole headquarters for all that stuff whole headquarters for all that stuff was in this little town called Carnation was in this little town called Carnation was in this little town called Carnation Washington so anyway it was out on the Washington so anyway it was out on the Washington so anyway it was out on the farm we also had Thompson Twins you know farm we also had Thompson Twins you know farm we also had Thompson Twins you know hold me now lay your hands on me all hold me now lay your hands on me all hold me now lay your hands on me all that kind of stuff and then we had that kind of stuff and then we had that kind of stuff and then we had Thomas Dolby oh my God Thomas Dolby Thomas Dolby oh my God Thomas Dolby Thomas Dolby oh my God Thomas Dolby started the show playing new order it started the show playing new order it started the show playing new order it was so awesome oh my God yeah it was was so awesome oh my God yeah it was was so awesome oh my God yeah it was just incredible this huh still alive just incredible this huh still alive just incredible this huh still alive that's like Thomas Dolby was going man that's like Thomas Dolby was going man that's like Thomas Dolby was going man and you know because I remember when he and you know because I remember when he and you know because I remember when he arrived in the early 80s he was just arrived in the early 80s he was just arrived in the early 80s he was just this oneman show with synthesizers and this oneman show with synthesizers and this oneman show with synthesizers and making all these sounds it was like I making all these sounds it was like I making all these sounds it was like I thought he came from the future or thought he came from the future or thought he came from the future or something it's like there was nothing something it's like there was nothing something it's like there was nothing like him and I tell you there was a real like him and I tell you there was a real like him and I tell you there was a real moving heart-wrenching moment he played moving heart-wrenching moment he played moving heart-wrenching moment he played us he played uh you know we can be us he played uh you know we can be us he played uh you know we can be heroes David Bowie and it was all the heroes David Bowie and it was all the heroes David Bowie and it was all the video he played keyboards for David video he played keyboards for David video he played keyboards for David Bowie and so there's pictures of them Bowie and so there's pictures of them Bowie and so there's pictures of them together and they show them flying in to together and they show them flying in to together and they show them flying in to wimbley stadium for Live Aid um and it wimbley stadium for Live Aid um and it wimbley stadium for Live Aid um and it he's on stage with Bowie s doing that

he's on stage with Bowie s doing that he's on stage with Bowie s doing that song and it it was it was pretty cool so song and it it was it was pretty cool so song and it it was it was pretty cool so there there's your he did all that he there there's your he did all that he there there's your he did all that he did all that noise reduction stuff did all that noise reduction stuff did all that noise reduction stuff afterward afterward afterward right yeah algorithms um yeah oh I have right yeah algorithms um yeah oh I have right yeah algorithms um yeah oh I have a question for ML expert if if it's a question for ML expert if if it's a question for ML expert if if it's possible because last week I was giving possible because last week I was giving possible because last week I was giving a webinar with Edge impulse about how to a webinar with Edge impulse about how to a webinar with Edge impulse about how to retrain uh machine learning models and retrain uh machine learning models and retrain uh machine learning models and and redeploy them on on edge devices and and redeploy them on on edge devices and and redeploy them on on edge devices and I wanted to ask if is there any I wanted to ask if is there any I wanted to ask if is there any framework or anything to to update framework or anything to to update framework or anything to to update remotely over the year um machine remotely over the year um machine remotely over the year um machine learning models on learning models on learning models on HC or there is still nothing there when when's there's a standard there when when's there's a standard frame work unless you're talking about frame work unless you're talking about frame work unless you're talking about like a kubernetes like container type like a kubernetes like container type like a kubernetes like container type thing but there like Zid dat has their thing but there like Zid dat has their thing but there like Zid dat has their own framework but you have to have Z dat own framework but you have to have Z dat own framework but you have to have Z dat CL yeah that's true think any open CL yeah that's true think any open CL yeah that's true think any open standard there's no standard yeah Wild standard there's no standard yeah Wild standard there's no standard yeah Wild West opportunity to create your own West opportunity to create your own West opportunity to create your own standard Mark you get to be the creator standard Mark you get to be the creator standard Mark you get to be the creator of the standard just like Thomas Dolby of the standard just like Thomas Dolby of the standard just like Thomas Dolby created not really created Dolby C created not really created Dolby C created not really created Dolby C no no interesting that that is nothing no no interesting that that is nothing no no interesting that that is nothing yeah yeah no no it's it's it's it's yeah yeah no no it's it's it's it's yeah yeah no no it's it's it's it's funny how yeah ml Ops as as a yeah as a funny how yeah ml Ops as as a yeah as a funny how yeah ml Ops as as a yeah as a some people call it it's yeah don't have some people call it it's yeah don't have some people call it it's yeah don't have any tool at all to control their models any tool at all to control their models any tool at all to control their models deployed out deployed out deployed out there yeah I mean and that's the

there yeah I mean and that's the there yeah I mean and that's the impression that you get when you go to impression that you get when you go to impression that you get when you go to sensors converge too is how difficult I sensors converge too is how difficult I sensors converge too is how difficult I mean have to go this stuff is really mean have to go this stuff is really mean have to go this stuff is really difficult and the and oh are you taking difficult and the and oh are you taking difficult and the and oh are you taking off off off he just got beamed up oh both of them he just got beamed up oh both of them he just got beamed up oh both of them took off no all right Tom barely said took off no all right Tom barely said took off no all right Tom barely said anything he's there no no I I'm still anything he's there no no I I'm still anything he's there no no I I'm still here well I was I was gonna I was gonna here well I was I was gonna I was gonna here well I was I was gonna I was gonna come back to Demitri Point actually come back to Demitri Point actually come back to Demitri Point actually about the um the sensor data uh in the about the um the sensor data uh in the about the um the sensor data uh in the hospital it's like 100% I think I think hospital it's like 100% I think I think hospital it's like 100% I think I think it's a start right clearly it's it's a start right clearly it's it's a start right clearly it's iterative and you're going to have to iterative and you're going to have to iterative and you're going to have to increase the data set over time but um increase the data set over time but um increase the data set over time but um some of the stuff that I've learned this some of the stuff that I've learned this some of the stuff that I've learned this week has been incredible Pete's done an week has been incredible Pete's done an week has been incredible Pete's done an amazing job as well right of of getting amazing job as well right of of getting amazing job as well right of of getting people together it was a real Buzz of people together it was a real Buzz of people together it was a real Buzz of activity um at the conference so yeah activity um at the conference so yeah activity um at the conference so yeah for people that don't know about the for people that don't know about the for people that don't know about the tiny ml Foundation you know maybe we can tiny ml Foundation you know maybe we can tiny ml Foundation you know maybe we can stick a link in the comments when this stick a link in the comments when this stick a link in the comments when this comes out right so they can get to know comes out right so they can get to know comes out right so they can get to know a little bit more about it Tom I think a little bit more about it Tom I think a little bit more about it Tom I think we're gonna need a lot more sucking up I think so up I think so yeah I think I thought it was really yeah I think I thought it was really yeah I think I thought it was really good I really enjoyed it I met I met a good I really enjoyed it I met I met a good I really enjoyed it I met I met a bunch of cool people learn is a cool bunch of cool people learn is a cool bunch of cool people learn is a cool city is a cool city is a cool city is a cool City years since I've been in the in the City years since I've been in the in the City years since I've been in the in the hospital industry but sensor data in the hospital industry but sensor data in the hospital industry but sensor data in the in the patient rooms has is that in the patient rooms has is that in the patient rooms has is that tradition been stored somewhere or just

tradition been stored somewhere or just tradition been stored somewhere or just used in real time to to show used in real time to to show used in real time to to show results you know I assume there's a lot results you know I assume there's a lot results you know I assume there's a lot of regulatory issues around that in of regulatory issues around that in of regulatory issues around that in terms of uh privacy and how long it terms of uh privacy and how long it terms of uh privacy and how long it needs to stick around I actually met an needs to stick around I actually met an needs to stick around I actually met an interesting company at the show here interesting company at the show here interesting company at the show here called INB brain i n b r a a b r a i n called INB brain i n b r a a b r a i n called INB brain i n b r a a b r a i n so they do a deep brain stimulation so they do a deep brain stimulation so they do a deep brain stimulation using a tiny ml so it's an implant if using a tiny ml so it's an implant if using a tiny ml so it's an implant if you know about Parkinson's and you know about Parkinson's and you know about Parkinson's and treatments of Parkinson's they use deep treatments of Parkinson's they use deep treatments of Parkinson's they use deep brain stimulation you know externally brain stimulation you know externally brain stimulation you know externally they put kind of a probe in there to do they put kind of a probe in there to do they put kind of a probe in there to do electrical stimulation to help decrease electrical stimulation to help decrease electrical stimulation to help decrease Parkinson symptoms but it's kind of an Parkinson symptoms but it's kind of an Parkinson symptoms but it's kind of an open loop thing they just kind of set it open loop thing they just kind of set it open loop thing they just kind of set it and see if it works but this actually and see if it works but this actually and see if it works but this actually does like as a two-part implant in your does like as a two-part implant in your does like as a two-part implant in your brain where brain where brain where part of it is measuring the signals to part of it is measuring the signals to part of it is measuring the signals to your brain and then it's your brain and then it's your brain and then it's tuning the other implant which is tuning the other implant which is tuning the other implant which is actually doing the uh the actual actually doing the uh the actual actually doing the uh the actual electrical signals and uh so it's a electrical signals and uh so it's a electrical signals and uh so it's a two-part implant and it uses two-part implant and it uses two-part implant and it uses Bluetooth um to you know do this kind of Bluetooth um to you know do this kind of Bluetooth um to you know do this kind of Clos Loop uh deep brain stimulation so Clos Loop uh deep brain stimulation so Clos Loop uh deep brain stimulation so not yet available but interviewed I not yet available but interviewed I not yet available but interviewed I actually interviewed a guy at the actually interviewed a guy at the actually interviewed a guy at the industry 4.0 who had an implant in his industry 4.0 who had an implant in his industry 4.0 who had an implant in his brain uh for brain uh for brain uh for Epsy and he had not had an incident in Epsy and he had not had an incident in Epsy and he had not had an incident in two years I think where normally yeah two years I think where normally yeah two years I think where normally yeah epilepsy OCD Parkinson's a lot of the epilepsy OCD Parkinson's a lot of the epilepsy OCD Parkinson's a lot of the brain stimulation stuff so this uh this brain stimulation stuff so this uh this brain stimulation stuff so this uh this implant stuff with electrical implant stuff with electrical implant stuff with electrical stimulation is going to be could be stimulation is going to be could be stimulation is going to be could be pretty profound I mean obviously

pretty profound I mean obviously pretty profound I mean obviously speaking of regulatory issues like that speaking of regulatory issues like that speaking of regulatory issues like that they were saying like that's their they were saying like that's their they were saying like that's their biggest challenge is you know they have biggest challenge is you know they have biggest challenge is you know they have like FDA breakthrough status now but but like FDA breakthrough status now but but like FDA breakthrough status now but but check them out in brain is pretty check them out in brain is pretty check them out in brain is pretty amazing that's cool yeah I did some work amazing that's cool yeah I did some work amazing that's cool yeah I did some work and and I still have a connection and and I still have a connection and and I still have a connection actually with a company that works on actually with a company that works on actually with a company that works on apfc as well what is just a side comment apfc as well what is just a side comment apfc as well what is just a side comment here what is interesting is that you can here what is interesting is that you can here what is interesting is that you can actually do a lot of things to ease actually do a lot of things to ease actually do a lot of things to ease patient life and and kind of predicting patient life and and kind of predicting patient life and and kind of predicting crisis by measuring actually simpler crisis by measuring actually simpler crisis by measuring actually simpler things that just the brain the SP2 level things that just the brain the SP2 level things that just the brain the SP2 level uh the adherence to medication is uh the adherence to medication is uh the adherence to medication is actually one of the big issue with actually one of the big issue with actually one of the big issue with patient with epilepsy so you can combine patient with epilepsy so you can combine patient with epilepsy so you can combine all this kind of you measuring sleep SP2 all this kind of you measuring sleep SP2 all this kind of you measuring sleep SP2 level and adherance to medication can level and adherance to medication can level and adherance to medication can give you a pretty good prediction or or give you a pretty good prediction or or give you a pretty good prediction or or actually signals that you might have a actually signals that you might have a actually signals that you might have a problem and then if you add those problem and then if you add those problem and then if you add those implants he can go to the next level as implants he can go to the next level as implants he can go to the next level as well so wow it's very artistic view of well so wow it's very artistic view of well so wow it's very artistic view of the problem that's cool I wonder if any the problem that's cool I wonder if any the problem that's cool I wonder if any of these companies were inspired by Mary Shelly that just like maybe it was like Shelly that just like maybe it was like a b maybe a bol sticking out a B I don't a b maybe a bol sticking out a B I don't a b maybe a bol sticking out a B I don't know I'm just I'm always curious about know I'm just I'm always curious about know I'm just I'm always curious about stuff like that anyway you're doing the stuff like that anyway you're doing the stuff like that anyway you're doing the Obscure cultureal recits Obscure cultureal recits Obscure cultureal recits today sorry about all you not well read today sorry about all you not well read today sorry about all you not well read people the challenge with with implant people the challenge with with implant people the challenge with with implant is obviously the all the regulation the is obviously the all the regulation the is obviously the all the regulation the FD approval behind it and and if it's FD approval behind it and and if it's FD approval behind it and and if it's using Bluetooth I would like to see the using Bluetooth I would like to see the using Bluetooth I would like to see the security model before I put that into my security model before I put that into my security model before I put that into my yeah you know putting AI in your brain yeah you know putting AI in your brain yeah you know putting AI in your brain you know pretty we need to increase the you know pretty we need to increase the you know pretty we need to increase the electrical impulses

electrical impulses electrical impulses 1,00% it's almost a bit ironic isn't it 1,00% it's almost a bit ironic isn't it 1,00% it's almost a bit ironic isn't it but an AI in the brain brain yes some people might be very very yes some people might be very very yes some people might be very very beneficial oh yeah yeah true sasm that beneficial oh yeah yeah true sasm that beneficial oh yeah yeah true sasm that could be a new movie everybody got smart could be a new movie everybody got smart could be a new movie everybody got smart or something you know that's right was or something you know that's right was or something you know that's right was like reverse planet of the eight or like reverse planet of the eight or like reverse planet of the eight or something something like that yeah you something something like that yeah you something something like that yeah you know Jed over here was only job he could know Jed over here was only job he could know Jed over here was only job he could get was changing oil but now he's a get was changing oil but now he's a get was changing oil but now he's a rocket scientist now he's Limitless oh oh good scientist now he's Limitless oh oh good reference there I like that everybody's reference there I like that everybody's reference there I like that everybody's searching for that Limitless that's a searching for that Limitless that's a searching for that Limitless that's a good one yeah maybe this is going to be good one yeah maybe this is going to be good one yeah maybe this is going to be the new definition of an alien you know the new definition of an alien you know the new definition of an alien you know because an alen come out of space maybe because an alen come out of space maybe because an alen come out of space maybe we're going to create alien by just we're going to create alien by just we're going to create alien by just putting implant into people brain and putting implant into people brain and putting implant into people brain and changing them changing them changing them yeah he might be able to create an yeah he might be able to create an yeah he might be able to create an entire this whole reg this whole entire this whole reg this whole entire this whole reg this whole regulatory issue thing right it's um regulatory issue thing right it's um regulatory issue thing right it's um it's compounded isn't it across it's compounded isn't it across it's compounded isn't it across different states across different different states across different different states across different countries different regions Etc do you countries different regions Etc do you countries different regions Etc do you think that's one of the reasons why so think that's one of the reasons why so think that's one of the reasons why so many things just don't take off in a way many things just don't take off in a way many things just don't take off in a way that they probably should because you that they probably should because you that they probably should because you just can't get the politics right you just can't get the politics right you just can't get the politics right you know so some country banned it and know so some country banned it and know so some country banned it and another country has a different View and another country has a different View and another country has a different View and is is that why you know this has been an is is that why you know this has been an is is that why you know this has been an issue in the past with with other great issue in the past with with other great issue in the past with with other great you know technology you know pieces that you know technology you know pieces that you know technology you know pieces that may also be a good idea to go slow on

may also be a good idea to go slow on may also be a good idea to go slow on some of this stuff so I'd be more some of this stuff so I'd be more some of this stuff so I'd be more concern easy to well okay there is a concern easy to well okay there is a concern easy to well okay there is a Never End there's never ending argument Never End there's never ending argument Never End there's never ending argument of whether she to be regulated or not so of whether she to be regulated or not so of whether she to be regulated or not so I think there's pros and cons on both I think there's pros and cons on both I think there's pros and cons on both dimensions so I mean at the end of the dimensions so I mean at the end of the dimensions so I mean at the end of the day the the you know the problem is you day the the you know the problem is you day the the you know the problem is you we always going after the money so if we always going after the money so if we always going after the money so if there is money we go around so it kills there is money we go around so it kills there is money we go around so it kills people but if there's money we might people but if there's money we might people but if there's money we might still kill people so so I don't think so still kill people so so I don't think so still kill people so so I don't think so I see that's a that's a bit like I see that's a that's a bit like I see that's a that's a bit like security as well Demetri right you know security as well Demetri right you know security as well Demetri right you know security is always always the second security is always always the second security is always always the second thought after the money right yeah thought after the money right yeah thought after the money right yeah totally you know our audience always totally you know our audience always totally you know our audience always loves it when they hear Europeans talk loves it when they hear Europeans talk loves it when they hear Europeans talk about about about regulation it's what we do best it's regulation it's what we do best it's regulation it's what we do best it's what you do best that's true you're what you do best that's true you're what you do best that's true you're right I wouldn't necessarily said best right I wouldn't necessarily said best right I wouldn't necessarily said best but who said most most but who said most most but who said most most yeah yeah there there we have to be yeah yeah there there we have to be yeah yeah there there we have to be careful this thing is being transcribed careful this thing is being transcribed careful this thing is being transcribed and goes into llm models so we have to and goes into llm models so we have to and goes into llm models so we have to be accurate with our be accurate with our be accurate with our language language language what what do you thinking Leonard what what do you thinking Leonard what what do you thinking Leonard definitely a um an allergic reaction definitely a um an allergic reaction definitely a um an allergic reaction happening happening happening um especially to Pete yeah this whole um especially to Pete yeah this whole um especially to Pete yeah this whole idea that everyone's putting Innovation idea that everyone's putting Innovation idea that everyone's putting Innovation first without regard for security safety first without regard for security safety first without regard for security safety and privacy and so I mean obviously the and privacy and so I mean obviously the and privacy and so I mean obviously the folks in Europe are really concerned folks in Europe are really concerned folks in Europe are really concerned because a lot of that data is being because a lot of that data is being because a lot of that data is being leveraged or that um the engagement and

leveraged or that um the engagement and leveraged or that um the engagement and data is being leveraged for the benefit data is being leveraged for the benefit data is being leveraged for the benefit of US tech big tech companies whatever of US tech big tech companies whatever of US tech big tech companies whatever the hell that is is making um yeah and the hell that is is making um yeah and the hell that is is making um yeah and so yeah there's definitely that Dynamic so yeah there's definitely that Dynamic so yeah there's definitely that Dynamic going on uh but it's weird it it's kind going on uh but it's weird it it's kind going on uh but it's weird it it's kind of like um I mean in one hand it's of like um I mean in one hand it's of like um I mean in one hand it's really annoying for so-called innovators really annoying for so-called innovators really annoying for so-called innovators but then at the same time it is putting but then at the same time it is putting but then at the same time it is putting the brakes on things and getting people the brakes on things and getting people the brakes on things and getting people to think through well what's really to think through well what's really to think through well what's really happening here what are the risks and happening here what are the risks and happening here what are the risks and how do we protect our citizenry from uh how do we protect our citizenry from uh how do we protect our citizenry from uh what could be a problematic thing right what could be a problematic thing right what could be a problematic thing right but but but um I don't know I I think it's just um I don't know I I think it's just um I don't know I I think it's just going to get worse it's obvious now going to get worse it's obvious now going to get worse it's obvious now because now Microsoft what is it with because now Microsoft what is it with because now Microsoft what is it with teams you know they're they're getting teams you know they're they're getting teams you know they're they're getting scrutinized or I think they might might scrutinized or I think they might might scrutinized or I think they might might even have a a penalty that's now being even have a a penalty that's now being even have a a penalty that's now being led led led uh you know that they've violated the uh you know that they've violated the uh you know that they've violated the dma because they bundled uh teams with dma because they bundled uh teams with dma because they bundled uh teams with uh you know their office office office uh you know their office office office uh you know their office office office yeah blah blah blah so it's going to get yeah blah blah blah so it's going to get yeah blah blah blah so it's going to get interesting and then you know we'll see interesting and then you know we'll see interesting and then you know we'll see how co-pilot goes because they're it how co-pilot goes because they're it how co-pilot goes because they're it everywhere and I just think that's going everywhere and I just think that's going everywhere and I just think that's going to be a real fun a you know like to be a real fun a you know like to be a real fun a you know like regulatory mess for Microsoft you know regulatory mess for Microsoft you know regulatory mess for Microsoft you know oh wait Leonard you know what was the oh wait Leonard you know what was the oh wait Leonard you know what was the AI I just forgot what Tom was saying let AI I just forgot what Tom was saying let AI I just forgot what Tom was saying let me rewind my recall on my windows 11 PC

me rewind my recall on my windows 11 PC me rewind my recall on my windows 11 PC here real quick to find out what he here real quick to find out what he here real quick to find out what he talked about the big rewind there's a big rewind the big rewind there's a big rewind button now on the button now on the button now on the scen The Big Challenge I think to me scen The Big Challenge I think to me scen The Big Challenge I think to me it's a I mean it's it's a little bit of it's a I mean it's it's a little bit of it's a I mean it's it's a little bit of a joke because the problem is those a joke because the problem is those a joke because the problem is those regulation are always far regulation are always far regulation are always far behind they're not made by people who behind they're not made by people who behind they're not made by people who truly understand I mean the amount of truly understand I mean the amount of truly understand I mean the amount of tracking we suffer in the US right now I tracking we suffer in the US right now I tracking we suffer in the US right now I think and I think it's increasing across think and I think it's increasing across think and I think it's increasing across different side and advertising and kind different side and advertising and kind different side and advertising and kind of stuff and there's all these Reg of stuff and there's all these Reg of stuff and there's all these Reg with the California thing even in the US with the California thing even in the US with the California thing even in the US and but it's [ __ ] I mean the result and but it's [ __ ] I mean the result and but it's [ __ ] I mean the result is that you you type a subject in one is that you you type a subject in one is that you you type a subject in one window and the next morning you get an window and the next morning you get an window and the next morning you get an out about it so what does the regulation out about it so what does the regulation out about it so what does the regulation do you tell do you tell do you tell me you know here's how I think about it me you know here's how I think about it me you know here's how I think about it all with like with AI or other Advanced all with like with AI or other Advanced all with like with AI or other Advanced Technologies you have Europe over here Technologies you have Europe over here Technologies you have Europe over here regulation nothing's going to happen you regulation nothing's going to happen you regulation nothing's going to happen you have some people in maybe America or have some people in maybe America or have some people in maybe America or wherever and they're working on some wherever and they're working on some wherever and they're working on some crazy Stu but they're like oh no no but crazy Stu but they're like oh no no but crazy Stu but they're like oh no no but are we worried about regulation then are we worried about regulation then are we worried about regulation then there are other unnamed countries that there are other unnamed countries that there are other unnamed countries that are not Shackled by any regulation and are not Shackled by any regulation and are not Shackled by any regulation and they're going at light speed towards they're going at light speed towards they're going at light speed towards whatever destination which might be good whatever destination which might be good whatever destination which might be good or bad and so you have people in the or bad and so you have people in the or bad and so you have people in the middle going well we may fall behind middle going well we may fall behind middle going well we may fall behind these other unnamed countries who have these other unnamed countries who have these other unnamed countries who have don't really care about don't really care about don't really care about anything uh if we do that and then will

anything uh if we do that and then will anything uh if we do that and then will we be at a disadvantage down the road we be at a disadvantage down the road we be at a disadvantage down the road because we chill out because of because we chill out because of because we chill out because of Regulation when another country went Regulation when another country went Regulation when another country went light speed and created some weird light speed and created some weird light speed and created some weird dystopian future I don't know I'm just dystopian future I don't know I'm just dystopian future I don't know I'm just making there's also in the US there's making there's also in the US there's making there's also in the US there's state-by-state regulations happening too state-by-state regulations happening too state-by-state regulations happening too so like in Massachusetts you're not so like in Massachusetts you're not so like in Massachusetts you're not allowed to have a robot with a weapon allowed to have a robot with a weapon allowed to have a robot with a weapon mounted on the robot that's a massachus mounted on the robot that's a massachus mounted on the robot that's a massachus state law makes it tough for Boston state law makes it tough for Boston state law makes it tough for Boston Dynamics doesn't it that's for the the Dynamics doesn't it that's for the the Dynamics doesn't it that's for the the whole RoboCop issue is you know yeah whole RoboCop issue is you know yeah whole RoboCop issue is you know yeah Dead or Dead or Dead or Alive cops in Massachusetts you're Alive cops in Massachusetts you're Alive cops in Massachusetts you're definitely right and the I mean the the definitely right and the I mean the the definitely right and the I mean the the the root cause implication is that you the root cause implication is that you the root cause implication is that you know it's our society is M ATT question know it's our society is M ATT question know it's our society is M ATT question right now the way our democracy right now the way our democracy right now the way our democracy functions compared to these other functions compared to these other functions compared to these other regimes yeah and then none of us know regimes yeah and then none of us know regimes yeah and then none of us know what really goes on in the military what really goes on in the military what really goes on in the military complex right exactly so it should we complex right exactly so it should we complex right exactly so it should we should I mean that's the questionary at should I mean that's the questionary at should I mean that's the questionary at this level they at the level of model this level they at the level of model this level they at the level of model Society so they're very profound so Society so they're very profound so Society so they're very profound so that's why I'm very pessimistic about that's why I'm very pessimistic about that's why I'm very pessimistic about them being solved because when was the them being solved because when was the them being solved because when was the last time humanity solved a very last time humanity solved a very last time humanity solved a very profound question give me yeah no you're profound question give me yeah no you're profound question give me yeah no you're right you know Pete I hear there's a new right you know Pete I hear there's a new right you know Pete I hear there's a new city they built in Michigan where robots city they built in Michigan where robots city they built in Michigan where robots with weapons are allowed I think the with weapons are allowed I think the with weapons are allowed I think the name of it they're just it's under name of it they're just it's under name of it they're just it's under construction I think it's called new construction I think it's called new construction I think it's called new Detroit what's not in Detroit what's not in Detroit what's not in Texas that's Texas that's Texas that's right another cultural reference another right another cultural reference another right another cultural reference another cultural reference how the hell do you cultural reference how the hell do you cultural reference how the hell do you know that pretty know that pretty know that pretty good come on people it's

RoboCop before when you say country RoboCop before when you say country countries that are just going light countries that are just going light countries that are just going light speed we don't even know how the speed we don't even know how the speed we don't even know how the military is doing right yeah there for military is doing right yeah there for military is doing right yeah there for sure the US military is not slowing that sure the US military is not slowing that sure the US military is not slowing that down because they still got to compete down because they still got to compete down because they still got to compete yeah but you know is that a aipc there yeah but you know is that a aipc there yeah but you know is that a aipc there that is an AI it's a no correction it's that is an AI it's a no correction it's that is an AI it's a no correction it's a co-pilot plus PC excuse me sorry about a co-pilot plus PC excuse me sorry about a co-pilot plus PC excuse me sorry about I'm sorry I misbranded I'm sorry I misbranded I'm sorry I misbranded you just got it yesterday does it turn you just got it yesterday does it turn you just got it yesterday does it turn on huh no oh yeah it does turn on I have on huh no oh yeah it does turn on I have on huh no oh yeah it does turn on I have co-pilot plus professional Edition I co-pilot plus professional Edition I co-pilot plus professional Edition I love the I love the frent split of the love the I love the frent split of the love the I love the frent split of the first reaction does it work oh first reaction does it work oh first reaction does it work oh no this a snap dragon laptop follow your no this a snap dragon laptop follow your no this a snap dragon laptop follow your intuition follow your intuition yeah wow intuition follow your intuition yeah wow intuition follow your intuition yeah wow wow so so tell me there's a screen wow so so tell me there's a screen wow so so tell me there's a screen there's a keyboard there's a mouse pad there's a keyboard there's a mouse pad there's a keyboard there's a mouse pad right there yeah Snap Dragon X oh yeah right there yeah Snap Dragon X oh yeah right there yeah Snap Dragon X oh yeah so it's the sticker that makes the so it's the sticker that makes the so it's the sticker that makes the difference okay that's what the stickers difference okay that's what the stickers difference okay that's what the stickers all you have to do is put on the sticker all you have to do is put on the sticker all you have to do is put on the sticker yeah yeah so that's the yoga does that yeah yeah so that's the yoga does that yeah yeah so that's the yoga does that mean it flips over the other way or mean it flips over the other way or mean it flips over the other way or something I think so let me try don't something I think so let me try don't something I think so let me try don't break it oh it doesn't it doesn't break it oh it doesn't it doesn't break it oh it doesn't it doesn't interesting all other yogas do I think interesting all other yogas do I think interesting all other yogas do I think um yeah that's what I thought too that's um yeah that's what I thought too that's um yeah that's what I thought too that's what I thought the whole point of the what I thought the whole point of the what I thought the whole point of the yoga was that it yoga was that it yoga was that it goes otherwise car didn't right the goes otherwise car didn't right the goes otherwise car didn't right the carbon didn't flip I carbon didn't flip I carbon didn't flip I think think think well is there a red eraser Mouse on well is there a red eraser Mouse on well is there a red eraser Mouse on keboard no uh-uh that's only on ThinkPad

keboard no uh-uh that's only on ThinkPad keboard no uh-uh that's only on ThinkPad so so so yeah so it seems to me AI is making it yeah so it seems to me AI is making it yeah so it seems to me AI is making it worse right it doesn't flip doesn't turn worse right it doesn't flip doesn't turn worse right it doesn't flip doesn't turn on at least this one can move it he when on at least this one can move it he when on at least this one can move it he when it's powered so you it's it's good Tech it's powered so you it's it's good Tech it's powered so you it's it's good Tech but it's got a sticker so it's all good but it's got a sticker so it's all good but it's got a sticker so it's all good I can't remember if I mentioned this I can't remember if I mentioned this I can't remember if I mentioned this last week I was listening to Joe Rogan last week I was listening to Joe Rogan last week I was listening to Joe Rogan talking to uh Jack Carr who's a ex seal talking to uh Jack Carr who's a ex seal talking to uh Jack Carr who's a ex seal and he writes books and stuff like that and he writes books and stuff like that and he writes books and stuff like that one of his deals turned into a series on one of his deals turned into a series on one of his deals turned into a series on Amazon called the terminal list Amazon called the terminal list Amazon called the terminal list anyway they started getting into anyway they started getting into anyway they started getting into conversation about being a writer and conversation about being a writer and conversation about being a writer and using laptops to write books and Lenovo using laptops to write books and Lenovo using laptops to write books and Lenovo got some love from Joe Rogan he got some love from Joe Rogan he got some love from Joe Rogan he said what are you using he goes oh you said what are you using he goes oh you said what are you using he goes oh you know I got a MacBook Pro whatever and know I got a MacBook Pro whatever and know I got a MacBook Pro whatever and Rogan's like you need to stop that right Rogan's like you need to stop that right Rogan's like you need to stop that right now and switch to a now and switch to a now and switch to a ThinkPad you know it's he said it's a ThinkPad you know it's he said it's a ThinkPad you know it's he said it's a way better keyboard you know way better keyboard you know way better keyboard you know he was he was even talking about key he was he was even talking about key he was he was even talking about key travel travel travel millimeters I don't know I don't know so millimeters I don't know I don't know so millimeters I don't know I don't know so they use the scissor sciss um on the they use the scissor sciss um on the they use the scissor sciss um on the Lenovo it's how how do they call it the Lenovo it's how how do they call it the Lenovo it's how how do they call it the scissor mechanism on the keyboard is scissor mechanism on the keyboard is scissor mechanism on the keyboard is that right no they did not go down that that right no they did not go down that that right no they did not go down that black hole that Apple went down for a black hole that Apple went down for a black hole that Apple went down for a while and while and while and then right I remember the scissor thing then right I remember the scissor thing then right I remember the scissor thing and I know we did talk about this last and I know we did talk about this last and I know we did talk about this last week we were talking about the butterfly week we were talking about the butterfly week we were talking about the butterfly keyboard but the Apple did the scissor keyboard but the Apple did the scissor keyboard but the Apple did the scissor thing and for a while and then they had

thing and for a while and then they had thing and for a while and then they had to back out of that cuz like several to back out of that cuz like several to back out of that cuz like several years of MacBook Pros people are like I years of MacBook Pros people are like I years of MacBook Pros people are like I don't want it yeah yeah when they when don't want it yeah yeah when they when don't want it yeah yeah when they when they switched to their own silicon they they switched to their own silicon they they switched to their own silicon they bought back the old keyboard right I bought back the old keyboard right I bought back the old keyboard right I remember that yes yeah that's right remember that yes yeah that's right remember that yes yeah that's right something like that the first generation something like that the first generation something like that the first generation book in the 2000 had fantastic keyboard book in the 2000 had fantastic keyboard book in the 2000 had fantastic keyboard of the Mac then he went down totally of the Mac then he went down totally of the Mac then he went down totally agree with this one has a really cool agree with this one has a really cool agree with this one has a really cool keyboard I really like it I like it keyboard I really like it I like it keyboard I really like it I like it better than my Mac keyboard uh my better than my Mac keyboard uh my better than my Mac keyboard uh my MacBook the action is a little squishy MacBook the action is a little squishy MacBook the action is a little squishy and um yeah it doesn't have a doesn't and um yeah it doesn't have a doesn't and um yeah it doesn't have a doesn't have the perfect feel this one much have the perfect feel this one much have the perfect feel this one much better feel so I I really want to go better feel so I I really want to go better feel so I I really want to go back to the feel of the mechanical metal back to the feel of the mechanical metal back to the feel of the mechanical metal keyboard and the sound keyboard and the sound keyboard and the sound yeah F keyboard I'm surprised they yeah F keyboard I'm surprised they yeah F keyboard I'm surprised they haven't figured out a way to tune haven't figured out a way to tune haven't figured out a way to tune software tune the feel of the keyboard software tune the feel of the keyboard software tune the feel of the keyboard so you can injust like the steering like so you can injust like the steering like so you can injust like the steering like when you drive you can go into sport when you drive you can go into sport when you drive you can go into sport mode or mode or mode or whatever like an IBM mode or whatever whatever like an IBM mode or whatever whatever like an IBM mode or whatever your keyboard that's a great Point your keyboard that's a great Point your keyboard that's a great Point that's that's that's a great use case that's that's that's a great use case that's that's that's a great use case for tiny ml learn how adjust on the fly for tiny ml learn how adjust on the fly for tiny ml learn how adjust on the fly or think about the pseudo sports cars or think about the pseudo sports cars or think about the pseudo sports cars you may hear that are making loud you may hear that are making loud you may hear that are making loud exhaust sounds that actually aren't exhaust sounds that actually aren't exhaust sounds that actually aren't really coming from their exhaust really coming from their exhaust really coming from their exhaust andp and it sounds like they're in some andp and it sounds like they're in some andp and it sounds like they're in some kind of Ferrari but it's a kind of Ferrari but it's a kind of Ferrari but it's a Subaru you get a Suzuki to sound like a Subaru you get a Suzuki to sound like a Subaru you get a Suzuki to sound like a Harley Harley Harley so you know guys I just want to do a so you know guys I just want to do a so you know guys I just want to do a maybe a little bit of recalibration here

maybe a little bit of recalibration here maybe a little bit of recalibration here because you know we should not forget because you know we should not forget because you know we should not forget that one of the reason we do this show that one of the reason we do this show that one of the reason we do this show is to help you know Elevate our kids and is to help you know Elevate our kids and is to help you know Elevate our kids and we're talking about the sense of the we're talking about the sense of the we're talking about the sense of the keyboard we're having first world keyboard we're having first world keyboard we're having first world problem here guys yeah no we having problem here guys yeah no we having problem here guys yeah no we having first world problem so we should keep on first world problem so we should keep on first world problem so we should keep on focusing on you know how we can help focusing on you know how we can help focusing on you know how we can help people who don't have access to a people who don't have access to a people who don't have access to a keyboard not trying to figure out if aou keyboard not trying to figure out if aou keyboard not trying to figure out if aou of our keyboard is FY today or not yeah of our keyboard is FY today or not yeah of our keyboard is FY today or not yeah on that note let let's do our little I on that note let let's do our little I on that note let let's do our little I don't have my show today you know don't have my show today you know don't have my show today you know fashion show so all of you you know if fashion show so all of you you know if fashion show so all of you you know if you don't know already we do this show you don't know already we do this show you don't know already we do this show for the love of the children and you for the love of the children and you for the love of the children and you know we're big on having all kids of all know we're big on having all kids of all know we're big on having all kids of all walks of life walks of life walks of life participate with equity in the digital participate with equity in the digital participate with equity in the digital future and so we are uh we basically put future and so we are uh we basically put future and so we are uh we basically put our heart and soul into this show every our heart and soul into this show every our heart and soul into this show every week for Elevate our kids at www. elevat week for Elevate our kids at www. elevat week for Elevate our kids at www. elevat ourkids dorg and so remember make a ourkids dorg and so remember make a ourkids dorg and so remember make a donation you know it's a it's a good donation you know it's a it's a good donation you know it's a it's a good thing and if you're not into charity but thing and if you're not into charity but thing and if you're not into charity but you're into fashion you can pick up one you're into fashion you can pick up one you're into fashion you can pick up one of these shirts just go to the I um is of these shirts just go to the I um is of these shirts just go to the I um is it the yeah just go to the elevat our it the yeah just go to the elevat our it the yeah just go to the elevat our kids uh website and you can find a link kids uh website and you can find a link kids uh website and you can find a link to purchase uh iot Coffee Talk merch and to purchase uh iot Coffee Talk merch and to purchase uh iot Coffee Talk merch and uh you know uh help bridge the digital uh you know uh help bridge the digital uh you know uh help bridge the digital Equity Equity Equity divide there you go and in case you guys

divide there you go and in case you guys divide there you go and in case you guys were wondering when we talk about were wondering when we talk about were wondering when we talk about fashion that's why two of our team fashion that's why two of our team fashion that's why two of our team members are in Milano right now because members are in Milano right now because members are in Milano right now because they're actually the reason they're they're actually the reason they're they're actually the reason they're there is they're scoping out the hottest there is they're scoping out the hottest there is they're scoping out the hottest new fashion brands for our new merch new fashion brands for our new merch new fashion brands for our new merch which is that's right yeah yeah doing which is that's right yeah yeah doing which is that's right yeah yeah doing some factory tours you some factory tours you some factory tours you know you know I'm sure in the next year know you know I'm sure in the next year know you know I'm sure in the next year we'll see super models on the runway we'll see super models on the runway we'll see super models on the runway wearing our gear you know and so that's wearing our gear you know and so that's wearing our gear you know and so that's that's that's why Tom and Pete are in that's that's why Tom and Pete are in that's that's why Tom and Pete are in Milano right now so yeah Bravo to you Milano right now so yeah Bravo to you Milano right now so yeah Bravo to you ciao thank you yeah guys on that note ciao thank you yeah guys on that note ciao thank you yeah guys on that note I've got a jump we're we're heading out I've got a jump we're we're heading out I've got a jump we're we're heading out and I'm a little bit late but um okay and I'm a little bit late but um okay and I'm a little bit late but um okay yeah it's been good to been good to see yeah it's been good to been good to see yeah it's been good to been good to see you all yeah good to see you have fun you all yeah good to see you have fun you all yeah good to see you have fun all right take care take care bye by bye all right take care take care bye by bye all right take care take care bye by bye bye all right all right wow did we or bye all right all right wow did we or bye all right all right wow did we or disclaimer oh I don't think so oh okay disclaimer oh I don't think so oh okay disclaimer oh I don't think so oh okay so really quickly um you know um oh what so really quickly um you know um oh what so really quickly um you know um oh what is our disclaimer I forgot I can't think is our disclaimer I forgot I can't think is our disclaimer I forgot I can't think this morning can you help me out take it this morning can you help me out take it this morning can you help me out take it do not take it seriously seriously at do not take it seriously seriously at do not take it seriously seriously at your own risk don't make any decisions your own risk don't make any decisions your own risk don't make any decisions based on what you hear here today yeah based on what you hear here today yeah based on what you hear here today yeah don't don't you're offloading the risk don't don't you're offloading the risk don't don't you're offloading the risk on to you just like an on to you just like an on to you just like an mpu primmed that's pretty cool the only mpu primmed that's pretty cool the only mpu primmed that's pretty cool the only thing we're here to do is add to to the thing we're here to do is add to to the thing we're here to do is add to to the open AI Collective keep talking keep talking Collective keep talking keep talking more

words right write and publish on the words right write and publish on the internet yeah exactly well take down internet yeah exactly well take down internet yeah exactly well take down your blog now hurry but hey you know um I want to say hurry but hey you know um I want to say every single time I go to sensors conf every single time I go to sensors conf every single time I go to sensors conf uh converus uh converus uh converus confused you're definitely confused confused you're definitely confused confused you're definitely confused today you need vacation today you need vacation today you need vacation do what is done take a vacation man take do what is done take a vacation man take do what is done take a vacation man take a vacation I should I should yeah maybe a vacation I should I should yeah maybe a vacation I should I should yeah maybe in um the in um the in um the recommended through August no I mean recommended through August no I mean recommended through August no I mean seriously the the first half of this seriously the the first half of this seriously the the first half of this year has just been freaking year has just been freaking year has just been freaking ridiculous I'm I'm I'm a little bit ridiculous I'm I'm I'm a little bit ridiculous I'm I'm I'm a little bit burned out you be all over the place you burned out you be all over the place you burned out you be all over the place you yeah it it's tough It's Not Easy um what yeah it it's tough It's Not Easy um what yeah it it's tough It's Not Easy um what was I going to say yeah when you go to was I going to say yeah when you go to was I going to say yeah when you go to censor uh converge I encourage if you censor uh converge I encourage if you censor uh converge I encourage if you can go go it's a really great show can go go it's a really great show can go go it's a really great show and um if anything it gives you the and um if anything it gives you the and um if anything it gives you the impression of of how hard all this ml impression of of how hard all this ml impression of of how hard all this ml stuff is and when people talk about stuff is and when people talk about stuff is and when people talk about digital twin and you know industry 4.0 digital twin and you know industry 4.0 digital twin and you know industry 4.0 right uh the complexi down at the sensor right uh the complexi down at the sensor right uh the complexi down at the sensor level to make any of the stuff remotely level to make any of the stuff remotely level to make any of the stuff remotely reliable I mean you just walk into these reliable I mean you just walk into these reliable I mean you just walk into these sessions listen to these brilliant phds sessions listen to these brilliant phds sessions listen to these brilliant phds talk about like literally the science talk about like literally the science talk about like literally the science that goes into sensor technology and how that goes into sensor technology and how that goes into sensor technology and how they're trying to to uh you know at this they're trying to to uh you know at this they're trying to to uh you know at this very granular low level uh create very granular low level uh create very granular low level uh create exponential Innovation and how tough exponential Innovation and how tough exponential Innovation and how tough that is it helps you it helps you

that is it helps you it helps you that is it helps you it helps you appreciate where the State ofth art is appreciate where the State ofth art is appreciate where the State ofth art is and the state of Technology but then it and the state of Technology but then it and the state of Technology but then it also gives you a perspective of how also gives you a perspective of how also gives you a perspective of how delusional everything else everyone is delusional everything else everyone is delusional everything else everyone is talking about is you know and um I think talking about is you know and um I think talking about is you know and um I think uh it's a great show um I think they got uh it's a great show um I think they got uh it's a great show um I think they got about 4,000 people this year registered about 4,000 people this year registered about 4,000 people this year registered and hopefully they continue to grow but and hopefully they continue to grow but and hopefully they continue to grow but Rob you always say it right it starts Rob you always say it right it starts Rob you always say it right it starts with the sensors right if you don't have with the sensors right if you don't have with the sensors right if you don't have the sensors and their [ __ ] you don't the sensors and their [ __ ] you don't the sensors and their [ __ ] you don't have iot have a very good have iot have a very good have iot have a very good yeah and you're right quality of sensors yeah and you're right quality of sensors yeah and you're right quality of sensors it might be good for a while and then it it might be good for a while and then it it might be good for a while and then it degrades we talk about having to degrades we talk about having to degrades we talk about having to recalibrate things remember we've talked recalibrate things remember we've talked recalibrate things remember we've talked about who's watching The Watchmen yes about who's watching The Watchmen yes about who's watching The Watchmen yes yeah yeah that's the thing was on which yeah yeah that's the thing was on which yeah yeah that's the thing was on which he should have been last week and every he should have been last week and every he should have been last week and every excuse in the world why he didn't show excuse in the world why he didn't show excuse in the world why he didn't show up yeah when he had perfect opportunity up yeah when he had perfect opportunity up yeah when he had perfect opportunity to trash on Apple for having this tight to trash on Apple for having this tight to trash on Apple for having this tight integration with open AI he would have integration with open AI he would have integration with open AI he would have he would have reminded us of that right he would have reminded us of that right he would have reminded us of that right you know it's an interesting thing to you know it's an interesting thing to you know it's an interesting thing to think about when you think about sensors think about when you think about sensors think about when you think about sensors and their how they whatever they're and their how they whatever they're and their how they whatever they're measuring it can degrade over time and measuring it can degrade over time and measuring it can degrade over time and we talk about recalibrating and yet at we talk about recalibrating and yet at we talk about recalibrating and yet at the same time what do we talk about all the same time what do we talk about all the same time what do we talk about all the time oh super long battery life and the time oh super long battery life and the time oh super long battery life and low power you know Laura Wan so that low power you know Laura Wan so that low power you know Laura Wan so that your device can be out there for 10 your device can be out there for 10 your device can be out there for 10 years or 20 years without you visiting years or 20 years without you visiting years or 20 years without you visiting it yeah oops maybe the battery life it yeah oops maybe the battery life it yeah oops maybe the battery life isn't the only limiting factor maybe the isn't the only limiting factor maybe the isn't the only limiting factor maybe the sensor that's the whole reason for it sensor that's the whole reason for it sensor that's the whole reason for it being there could go out of whack and

being there could go out of whack and being there could go out of whack and long before your 10year battery life and long before your 10year battery life and long before your 10year battery life and then you could get bad readings and then you could get bad readings and then you could get bad readings and you're making bad decisions sometimes you're making bad decisions sometimes you're making bad decisions sometimes it's not even even that big of a problem it's not even even that big of a problem it's not even even that big of a problem sometimes you're looking for Trends sometimes you're looking for Trends sometimes you're looking for Trends right so even though if your temperature right so even though if your temperature right so even though if your temperature is a little bit off you're not looking is a little bit off you're not looking is a little bit off you're not looking for exact temperature but looking for a for exact temperature but looking for a for exact temperature but looking for a temperature drop that's on unheard of or temperature drop that's on unheard of or temperature drop that's on unheard of or whatever right so but I agree with you whatever right so but I agree with you whatever right so but I agree with you though that U that that there are though that U that that there are though that U that that there are definitely applications where if the definitely applications where if the definitely applications where if the values are critical you got to make sure values are critical you got to make sure values are critical you got to make sure you also calibrate question for you guys you also calibrate question for you guys you also calibrate question for you guys um so are you seeing with all these um so are you seeing with all these um so are you seeing with all these sensors are they becoming more sensors are they becoming more sensors are they becoming more sensor-driven sensor-driven sensor-driven autonomous uh like iot recording or is autonomous uh like iot recording or is autonomous uh like iot recording or is it still sensors connected to Red it still sensors connected to Red it still sensors connected to Red devices uh compiling all the information devices uh compiling all the information devices uh compiling all the information and then kind of processing it what's and then kind of processing it what's and then kind of processing it what's what's the trend now is that going more what's the trend now is that going more what's the trend now is that going more into you know autonomous sensors uh that into you know autonomous sensors uh that into you know autonomous sensors uh that kind of act on their own and have kind of act on their own and have kind of act on their own and have machine learning built in and or is it machine learning built in and or is it machine learning built in and or is it still just sensors with traditional still just sensors with traditional still just sensors with traditional communication into some kind of iot communication into some kind of iot communication into some kind of iot device yeah it depends yeah it depends device yeah it depends yeah it depends device yeah it depends yeah it depends well no because there are manufacturers well no because there are manufacturers well no because there are manufacturers of s like if I go back to the time doing of s like if I go back to the time doing of s like if I go back to the time doing the smart farming stuff there are sensor the smart farming stuff there are sensor the smart farming stuff there are sensor manufacturers you know what there's manufacturers you know what there's manufacturers you know what there's always a device it might be hiding in always a device it might be hiding in always a device it might be hiding in there with the all-in-one one unit that there with the all-in-one one unit that there with the all-in-one one unit that you thought I'm buying a moisture sensor you thought I'm buying a moisture sensor you thought I'm buying a moisture sensor and sticking it in the ground but there and sticking it in the ground but there and sticking it in the ground but there is still compute storage and networking is still compute storage and networking is still compute storage and networking and some kind of battery in there and and some kind of battery in there and and some kind of battery in there and they may be putting tiny ml in there they may be putting tiny ml in there they may be putting tiny ml in there they might be building in just basic they might be building in just basic they might be building in just basic filtering don't send every packet If the

filtering don't send every packet If the filtering don't send every packet If the previous packet was the same value that previous packet was the same value that previous packet was the same value that kind of thing so there's always a device kind of thing so there's always a device kind of thing so there's always a device if you want to call it that it might if you want to call it that it might if you want to call it that it might just be integrated with the sensor just be integrated with the sensor just be integrated with the sensor versus here's a device and I've got versus here's a device and I've got versus here's a device and I've got sensors hanging off of it or whatever sensors hanging off of it or whatever sensors hanging off of it or whatever that kind of thing um yeah I went to a that kind of thing um yeah I went to a that kind of thing um yeah I went to a conference that there's lot of sensors conference that there's lot of sensors conference that there's lot of sensors that had like iot right and then when I that had like iot right and then when I that had like iot right and then when I kind of take in yeah it has mod bus and kind of take in yeah it has mod bus and kind of take in yeah it has mod bus and and OPC and whatever but it still and OPC and whatever but it still and OPC and whatever but it still required something else to kind of make required something else to kind of make required something else to kind of make it I right so it's just interesting to it I right so it's just interesting to it I right so it's just interesting to see where the direction is going more see where the direction is going more see where the direction is going more towards smarter sensors on its own right towards smarter sensors on its own right towards smarter sensors on its own right that you just put a sensor in wired into that you just put a sensor in wired into that you just put a sensor in wired into your Cloud's infrastructure somehow and your Cloud's infrastructure somehow and your Cloud's infrastructure somehow and now you have something or do you still now you have something or do you still now you have something or do you still need that kind of concentrator ET device need that kind of concentrator ET device need that kind of concentrator ET device yeah with potential for machine learning yeah with potential for machine learning yeah with potential for machine learning build into that at the edge or whatever build into that at the edge or whatever build into that at the edge or whatever yeah you know I mean you still hear a a yeah you know I mean you still hear a a yeah you know I mean you still hear a a lot of folks in the community the lot of folks in the community the lot of folks in the community the industrial Community just talk about how industrial Community just talk about how industrial Community just talk about how um everyone still wants to keep the data um everyone still wants to keep the data um everyone still wants to keep the data within on premise you know um the cloud within on premise you know um the cloud within on premise you know um the cloud conversation as much as people are conversation as much as people are conversation as much as people are pounding sand on that it's it's not and pounding sand on that it's it's not and pounding sand on that it's it's not and and there are a lot of vendors that want and there are a lot of vendors that want and there are a lot of vendors that want to push things that way um it it it I to push things that way um it it it I to push things that way um it it it I don't think it res it doesn't seem to be don't think it res it doesn't seem to be don't think it res it doesn't seem to be resonating with um you know end users as resonating with um you know end users as resonating with um you know end users as much uh and then there's also now this much uh and then there's also now this much uh and then there's also now this growing pull toward making sensors more growing pull toward making sensors more growing pull toward making sensors more intelligent there's a lot of work being

intelligent there's a lot of work being intelligent there's a lot of work being done to make them more reliable and then done to make them more reliable and then done to make them more reliable and then the solution scalable one of the things the solution scalable one of the things the solution scalable one of the things I heard is um from some of the vendors I heard is um from some of the vendors I heard is um from some of the vendors that I spoke to is this uh whole um uh that I spoke to is this uh whole um uh that I spoke to is this uh whole um uh what do you call it what do you call it what do you call it um hugging face uh proliferation of um hugging face uh proliferation of um hugging face uh proliferation of models and the availability of models models and the availability of models models and the availability of models and and tooling has helped accelerate a and and tooling has helped accelerate a and and tooling has helped accelerate a lot of the development and R&D that's lot of the development and R&D that's lot of the development and R&D that's happening on Smart sensors uh you know happening on Smart sensors uh you know happening on Smart sensors uh you know for smart sensor Technologies and for smart sensor Technologies and for smart sensor Technologies and applications and so I think there's applications and so I think there's applications and so I think there's momentum I think like what Pete you're momentum I think like what Pete you're momentum I think like what Pete you're doing with tiny ml especially on the I doing with tiny ml especially on the I doing with tiny ml especially on the I mean on ML that being kind of like the mean on ML that being kind of like the mean on ML that being kind of like the big new thing that everyone's trying to big new thing that everyone's trying to big new thing that everyone's trying to make happen that that's going to that's make happen that that's going to that's make happen that that's going to that's going to have impact um it'll take time going to have impact um it'll take time going to have impact um it'll take time it's still really challenging but um at it's still really challenging but um at it's still really challenging but um at least there's seems to be some things least there's seems to be some things least there's seems to be some things that are pushing and creating momentum that are pushing and creating momentum that are pushing and creating momentum in the direction towards smarter sensors in the direction towards smarter sensors in the direction towards smarter sensors and that can have like that huge impact and that can have like that huge impact and that can have like that huge impact right it can cut down the amount of uh right it can cut down the amount of uh right it can cut down the amount of uh data that you're sending over the air data that you're sending over the air data that you're sending over the air tremendously right depending like what tremendously right depending like what tremendously right depending like what Rob says Rob says Rob says depending it's not going to you're not depending it's not going to you're not depending it's not going to you're not going to see that kind of reduction in going to see that kind of reduction in going to see that kind of reduction in data uh data transmitted uh to the cloud data uh data transmitted uh to the cloud data uh data transmitted uh to the cloud uh you know for every application but uh you know for every application but uh you know for every application but there are going to be some that where there are going to be some that where there are going to be some that where yeah you're you're you're really not

yeah you're you're you're really not yeah you're you're you're really not going to be capturing that much data but going to be capturing that much data but going to be capturing that much data but then then you have the in the issue of then then you have the in the issue of then then you have the in the issue of retraining right certain applications retraining right certain applications retraining right certain applications where you need more Dynamic dynamism in where you need more Dynamic dynamism in where you need more Dynamic dynamism in the automation or the monitoring or what the automation or the monitoring or what the automation or the monitoring or what have you have you have you that that's where things get a little that that's where things get a little that that's where things get a little tricky so I mean it's going to be a hot tricky so I mean it's going to be a hot tricky so I mean it's going to be a hot mess it's a hot mess but it's all going mess it's a hot mess but it's all going mess it's a hot mess but it's all going to be driven by requirements and also to be driven by requirements and also to be driven by requirements and also cost how much do it cost I think that's cost how much do it cost I think that's cost how much do it cost I think that's that's an important point that you know that's an important point that you know that's an important point that you know people don't necessarily understand Leon people don't necessarily understand Leon people don't necessarily understand Leon that you made that you made that you made this you have to have access to the data this you have to have access to the data this you have to have access to the data at a for centralized SP to be able to at a for centralized SP to be able to at a for centralized SP to be able to train the model so that they effective train the model so that they effective train the model so that they effective on the edge so this whole concept of a on the edge so this whole concept of a on the edge so this whole concept of a we actually kind of worked on thata G we actually kind of worked on thata G we actually kind of worked on thata G but never red delivered but this concept but never red delivered but this concept but never red delivered but this concept of a learning system you have to collect of a learning system you have to collect of a learning system you have to collect the data and centralize it somewhere now the data and centralize it somewhere now the data and centralize it somewhere now it can be centralized on the edge I it can be centralized on the edge I it can be centralized on the edge I would agree because the data requirement would agree because the data requirement would agree because the data requirement or the legality make it such that you or the legality make it such that you or the legality make it such that you don't necessarily want to send them to don't necessarily want to send them to don't necessarily want to send them to the to the cloud but you want to put the to the cloud but you want to put the to the cloud but you want to put them centralize them together get those them centralize them together get those them centralize them together get those thousands of hours of operation of thousands of hours of operation of thousands of hours of operation of thousands of engines learn something thousands of engines learn something thousands of engines learn something about it and then redeploy that on the about it and then redeploy that on the about it and then redeploy that on the edge for edge for edge for execution this an effective way to do execution this an effective way to do execution this an effective way to do that at scale is still to be determined that at scale is still to be determined that at scale is still to be determined yeah and the other comment I would make yeah and the other comment I would make yeah and the other comment I would make is that you in the early days of G we is that you in the early days of G we is that you in the early days of G we talking about those anomaly detection talking about those anomaly detection talking about those anomaly detection model that were supposed to do model that were supposed to do model that were supposed to do everything the problem is that they are everything the problem is that they are everything the problem is that they are too generic so you have to train this on too generic so you have to train this on too generic so you have to train this on the specific equipment you using so how the specific equipment you using so how the specific equipment you using so how you achieve that is it Remains the you achieve that is it Remains the you achieve that is it Remains the problem to me yeah whole cycle I I I I I problem to me yeah whole cycle I I I I I problem to me yeah whole cycle I I I I I I I teach the model I deploy it then I

I I teach the model I deploy it then I I I teach the model I deploy it then I refine it I re it I redeploy it so this refine it I re it I redeploy it so this refine it I re it I redeploy it so this whole cycle yeah yeah a circle of life whole cycle yeah yeah a circle of life whole cycle yeah yeah a circle of life yeah so abely there's some some yeah so abely there's some some yeah so abely there's some some organization trying to standardize the organization trying to standardize the organization trying to standardize the whole d TR trying to I'm not sure whole d TR trying to I'm not sure whole d TR trying to I'm not sure exactly how how successful it be but exactly how how successful it be but exactly how how successful it be but it's interesting on the on the ml side it's interesting on the on the ml side it's interesting on the on the ml side right if if if you especially from my right if if if you especially from my right if if if you especially from my perspective as an OM right we can be perspective as an OM right we can be perspective as an OM right we can be connected to a thousand different pieces connected to a thousand different pieces connected to a thousand different pieces of equipment in different places of the of equipment in different places of the of equipment in different places of the world the things we can learn in our world the things we can learn in our world the things we can learn in our models is invaluable for an individual models is invaluable for an individual models is invaluable for an individual of our customers right that they can of our customers right that they can of our customers right that they can never learn be connected to three piece never learn be connected to three piece never learn be connected to three piece of equipment but how do I transfer that of equipment but how do I transfer that of equipment but how do I transfer that learning down to tiny ML on the edge in learning down to tiny ML on the edge in learning down to tiny ML on the edge in a scalable way without being an a scalable way without being an a scalable way without being an integrator and without being a you know integrator and without being a you know integrator and without being a you know that that's something that could be that that's something that could be that that's something that could be interesting to look at what is the interesting to look at what is the interesting to look at what is the standardization around that that could standardization around that that could standardization around that that could be uh utilized so that we could kind of be uh utilized so that we could kind of be uh utilized so that we could kind of share yeah our information down to what share yeah our information down to what share yeah our information down to what the customer really want right the the customer really want right the the customer really want right the customer wants to run the model on the customer wants to run the model on the customer wants to run the model on the on the edge or on at the plant on their on the edge or on at the plant on their on the edge or on at the plant on their equipment but they want to want a model equipment but they want to want a model equipment but they want to want a model that's that that's been taught based on that's that that's been taught based on that's that that's been taught based on all the equipment that we have access to all the equipment that we have access to all the equipment that we have access to right yeah yeah the other the other right yeah yeah the other the other right yeah yeah the other the other dimension that adds complexity which dimension that adds complexity which dimension that adds complexity which I've never seen being solved because you I've never seen being solved because you I've never seen being solved because you know everybody you know you know me so know everybody you know you know me so know everybody you know you know me so everybody talks about digital twin and everybody talks about digital twin and everybody talks about digital twin and think knows what it is which probably think knows what it is which probably think knows what it is which probably don't but the biggest problem Manifesto

don't but the biggest problem Manifesto don't but the biggest problem Manifesto Manifesto Manifesto yeah we're gonna Manifesto Manifesto yeah we're gonna Manifesto Manifesto yeah we're gonna have to do it we're gonna have we have have to do it we're gonna have we have have to do it we're gonna have we have to do it but the the the the point is to do it but the the the the point is to do it but the the the the point is the the biggest problem I believe is the the the biggest problem I believe is the the the biggest problem I believe is the granularity granularity granularity what level do you make the digital twin what level do you make the digital twin what level do you make the digital twin is it at the level of the factory is it is it at the level of the factory is it is it at the level of the factory is it at the level of the the the the room in at the level of the the the the room in at the level of the the the the room in the factory is it at the level of one the factory is it at the level of one the factory is it at the level of one machine is it at the level of the hand machine is it at the level of the hand machine is it at the level of the hand is it at the level of the sensor and we is it at the level of the sensor and we is it at the level of the sensor and we haven't resolved that and and it's also haven't resolved that and and it's also haven't resolved that and and it's also even more complicated than that because even more complicated than that because even more complicated than that because even if you resolve that how do you then even if you resolve that how do you then even if you resolve that how do you then compose or orchestrate between digital compose or orchestrate between digital compose or orchestrate between digital twins no one has a clear picture of that twins no one has a clear picture of that twins no one has a clear picture of that that I've seen so far I just asked that I've seen so far I just asked that I've seen so far I just asked Claude to help me make a digital twin Claude to help me make a digital twin Claude to help me make a digital twin Manifesto and it it did resolve it it Manifesto and it it did resolve it it Manifesto and it it did resolve it it said it was at the machine I don't know said it was at the machine I don't know said it was at the machine I don't know but but again what machine what size of but but again what machine what size of but but again what machine what size of the machine that machines inside the machine that machines inside the machine that machines inside machines you know the also the the machines you know the also the the machines you know the also the the fality of the machine or whatever fality of the machine or whatever fality of the machine or whatever whatever your but that's an easy that's whatever your but that's an easy that's whatever your but that's an easy that's kind of that's a kind of the easy kind of that's a kind of the easy kind of that's a kind of the easy problem because the more sensors you put problem because the more sensors you put problem because the more sensors you put the more simpling frequency the more the more simpling frequency the more the more simpling frequency the more phys you have that's not the problem the phys you have that's not the problem the phys you have that's not the problem the problem is that abstraction at what problem is that abstraction at what problem is that abstraction at what level do you put it and then how do you level do you put it and then how do you level do you put it and then how do you componentize it so that you can make componentize it so that you can make componentize it so that you can make several work together but think about several work together but think about several work together but think about all that stuff that we're talking about all that stuff that we're talking about all that stuff that we're talking about and when Jensen Juan gets up on stage and when Jensen Juan gets up on stage and when Jensen Juan gets up on stage and talks about how you know Nvidia is and talks about how you know Nvidia is and talks about how you know Nvidia is going to digitize and drive this next going to digitize and drive this next going to digitize and drive this next Revolution think about how difficult all Revolution think about how difficult all Revolution think about how difficult all this stuff already is and how they're this stuff already is and how they're this stuff already is and how they're not necessarily introducing new tools to not necessarily introducing new tools to not necessarily introducing new tools to make any of this easier right I mean

make any of this easier right I mean make any of this easier right I mean it's not easy to talk about the software it's not easy to talk about the software it's not easy to talk about the software level abstractions and as you know but level abstractions and as you know but level abstractions and as you know but all the stuff underneath the the real all the stuff underneath the the real all the stuff underneath the the real iot stuff right from sensors to whatever iot stuff right from sensors to whatever iot stuff right from sensors to whatever the hell you however you're going to get the hell you however you're going to get the hell you however you're going to get that dat the that dat the that dat the information um to some sort of information um to some sort of information um to some sort of analytical resource all that stuff is analytical resource all that stuff is analytical resource all that stuff is super tough right and it's not just super tough right and it's not just super tough right and it's not just about data it's you know there's a lot about data it's you know there's a lot about data it's you know there's a lot of science that Jensen doesn't talk of science that Jensen doesn't talk of science that Jensen doesn't talk about that is a huge dependency and all about that is a huge dependency and all about that is a huge dependency and all that crap is really hard and then all that crap is really hard and then all that crap is really hard and then all and the ml and the ml and the ml itself you itself you itself you know the the whole life cycle of know the the whole life cycle of know the the whole life cycle of managing that stuff at the edge is much managing that stuff at the edge is much managing that stuff at the edge is much tougher than I think everyone generally tougher than I think everyone generally tougher than I think everyone generally assumes you know Leonard you know who assumes you know Leonard you know who assumes you know Leonard you know who talked about science last night no talked about science last night no talked about science last night no Thomas Thomas Thomas Dolby was he blinded Dolby was he blinded Dolby was he blinded blinded sound so kids make sure you keep sound so kids make sure you keep retraining those models don't assume retraining those models don't assume retraining those models don't assume that they're good forever like if you that they're good forever like if you that they're good forever like if you were good simple example is like back in were good simple example is like back in were good simple example is like back in agriculture if I was training based on agriculture if I was training based on agriculture if I was training based on field conditions year over year just field conditions year over year just field conditions year over year just with the same mo one big honkin model with the same mo one big honkin model with the same mo one big honkin model and I'm doing inferences year to year and I'm doing inferences year to year and I'm doing inferences year to year can you imagine a scenario where it can you imagine a scenario where it can you imagine a scenario where it would be wrong oh what if my model was would be wrong oh what if my model was would be wrong oh what if my model was originally created in a good year right

originally created in a good year right originally created in a good year right level of rain and sunshine and all that level of rain and sunshine and all that level of rain and sunshine and all that stuff and then the following winter it stuff and then the following winter it stuff and then the following winter it didn't snow very much and we didn't have didn't snow very much and we didn't have didn't snow very much and we didn't have a lot of snow pack and then so we had a lot of snow pack and then so we had a lot of snow pack and then so we had drought conditions the following summer drought conditions the following summer drought conditions the following summer but your models were based on Good Times but your models were based on Good Times but your models were based on Good Times and so your inferencing was going to be and so your inferencing was going to be and so your inferencing was going to be out of whack right and to make wrong out of whack right and to make wrong out of whack right and to make wrong decisions so uh that's why you got to decisions so uh that's why you got to decisions so uh that's why you got to retrain those models kids drift remember retrain those models kids drift remember retrain those models kids drift remember that and Cate too drift and curate the that and Cate too drift and curate the that and Cate too drift and curate the data because if you curate the data the data because if you curate the data the data because if you curate the data the training you do will be done in the training you do will be done in the training you do will be done in the future will be better because that's future will be better because that's future will be better because that's that people always forgot to say oh yeah that people always forgot to say oh yeah that people always forgot to say oh yeah the data is there no no the good the data is there no no the good the data is there no no the good no it's all about the data sets yeah no it's all about the data sets yeah no it's all about the data sets yeah yeah CSV files giant ones there you go yeah CSV files giant ones there you go yeah CSV files giant ones there you go CSV making a comeback yeah but again CSV making a comeback yeah but again CSV making a comeback yeah but again whether it's CSV SQL I mean we we should whether it's CSV SQL I mean we we should whether it's CSV SQL I mean we we should not put the focus there is is the not put the focus there is is the not put the focus there is is the quality of the data that is more quality of the data that is more quality of the data that is more important the format doesn't really important the format doesn't really important the format doesn't really matter it's it's just a format so yeah matter it's it's just a format so yeah matter it's it's just a format so yeah zabate Zab bized CSV files yeah yeah um zabate Zab bized CSV files yeah yeah um zabate Zab bized CSV files yeah yeah um yeah thanks for sharing your perspective yeah thanks for sharing your perspective yeah thanks for sharing your perspective man it's it's really interesting to hear man it's it's really interesting to hear man it's it's really interesting to hear from a vendor's point of view yeah from a vendor's point of view yeah from a vendor's point of view yeah you're an oem you're OEM so you're legit you're an oem you're OEM so you're legit you're an oem you're OEM so you're legit yeah you're leg trying to yeah we're yeah you're leg trying to yeah we're yeah you're leg trying to yeah we're just playing with just playing with just playing with IDE just he's like in freaking every IDE just he's like in freaking every IDE just he's like in freaking every single time you pop on I go what's he single time you pop on I go what's he single time you pop on I go what's he doing in South Park oh his background doing in South Park oh his background doing in South Park oh his background screen yeah I'm waiting for Cartman to

screen yeah I'm waiting for Cartman to screen yeah I'm waiting for Cartman to like kind of appear in from the side of like kind of appear in from the side of like kind of appear in from the side of his screen actually it would be cool if his screen actually it would be cool if his screen actually it would be cool if we all started having this South legit we all started having this South legit we all started having this South legit South Park back grounds for all of us South Park back grounds for all of us South Park back grounds for all of us you know that'd be cool you know hey if you know that'd be cool you know hey if you know that'd be cool you know hey if you give me where you live this is my you give me where you live this is my you give me where you live this is my son that made it for me so this is son that made it for me so this is son that made it for me so this is actually the Charlotte uh Skyline the actually the Charlotte uh Skyline the actually the Charlotte uh Skyline the what Skyline Charlotte Charlotte yeah oh what Skyline Charlotte Charlotte yeah oh what Skyline Charlotte Charlotte yeah oh yeah yeah right that's cool I love that yeah yeah right that's cool I love that yeah yeah right that's cool I love that all right South Park South Park Colorado all right South Park South Park Colorado all right South Park South Park Colorado has a much lower has a much lower has a much lower Skyline has anyone ever driven through Skyline has anyone ever driven through Skyline has anyone ever driven through there no no south of Breen Ridge no there no no south of Breen Ridge no there no no south of Breen Ridge no anyone anyone ber no okay it's been anyone anyone ber no okay it's been anyone anyone ber no okay it's been every every every second okay take us out who gets to is second okay take us out who gets to is second okay take us out who gets to is Cartman gonna die Cartman gonna die Cartman gonna die today never mind I thought it was Kenny today never mind I thought it was Kenny today never mind I thought it was Kenny it's Kenny it's Kenny yeah all right it's Kenny it's Kenny yeah all right it's Kenny it's Kenny yeah all right kment never dies yeah all right all kment never dies yeah all right all kment never dies yeah all right all right y'all thanks so much for joining right y'all thanks so much for joining right y'all thanks so much for joining us on this us on this us on this fabulous movie reference music referenc fabulous movie reference music referenc fabulous movie reference music referenc edition of iot coffee talk um it's been edition of iot coffee talk um it's been edition of iot coffee talk um it's been great having all you folks here it's great having all you folks here it's great having all you folks here it's great that we have members of our group great that we have members of our group great that we have members of our group here in Milano checking out factories in here in Milano checking out factories in here in Milano checking out factories in the latest fashion for Merch make sure the latest fashion for Merch make sure the latest fashion for Merch make sure you go to elevar kids.org to buy some of you go to elevar kids.org to buy some of you go to elevar kids.org to buy some of that iot coffee talk merch because that iot coffee talk merch because that iot coffee talk merch because that's going to help the kids well how that's going to help the kids well how that's going to help the kids well how are we helping them oh maybe you heard are we helping them oh maybe you heard are we helping them oh maybe you heard sometimes you have to go to school sometimes you have to go to school sometimes you have to go to school online with your laptop right not all

online with your laptop right not all online with your laptop right not all the kids have laptops you know you might the kids have laptops you know you might the kids have laptops you know you might need to do homework that digital divide need to do homework that digital divide need to do homework that digital divide you keep hearing everybody talk about we you keep hearing everybody talk about we you keep hearing everybody talk about we make it real we are actually divid we make it real we are actually divid we make it real we are actually divid we are pulling it all together so oh are pulling it all together so oh are pulling it all together so oh welcome to South Park okay great um I welcome to South Park okay great um I welcome to South Park okay great um I love it so yes so so this show and your love it so yes so so this show and your love it so yes so so this show and your support the whole point of the show is support the whole point of the show is support the whole point of the show is to raise money we get laptops we get to raise money we get laptops we get to raise money we get laptops we get internet connectivity in the homes internet connectivity in the homes internet connectivity in the homes there's a lot of underresourced families there's a lot of underresourced families there's a lot of underresourced families out there that don't have connections to out there that don't have connections to out there that don't have connections to the internet and if you can't see what's the internet and if you can't see what's the internet and if you can't see what's going on the internet then open AI can't going on the internet then open AI can't going on the internet then open AI can't suck your brain what I meant to say is suck your brain what I meant to say is suck your brain what I meant to say is if you don't have access to the internet if you don't have access to the internet if you don't have access to the internet you can't learn the things that are on you can't learn the things that are on you can't learn the things that are on the internet that are all so good for the internet that are all so good for the internet that are all so good for you to learn well maybe not everything you to learn well maybe not everything you to learn well maybe not everything um so that's what we're all about sounds um so that's what we're all about sounds um so that's what we're all about sounds really negative at this point doesn't it really negative at this point doesn't it really negative at this point doesn't it yeah make sure and join us and tune in yeah make sure and join us and tune in yeah make sure and join us and tune in every week where you're going to learn every week where you're going to learn every week where you're going to learn the latest hype about iot and ML and Ai the latest hype about iot and ML and Ai the latest hype about iot and ML and Ai and Edge and sensors it's it's all good and Edge and sensors it's it's all good and Edge and sensors it's it's all good and even really small ml like tiny ML and even really small ml like tiny ML and even really small ml like tiny ML and coffee tiny tiny coffee yeah I got I and coffee tiny tiny coffee yeah I got I and coffee tiny tiny coffee yeah I got I gotta learn the uh the South Park theme gotta learn the uh the South Park theme gotta learn the uh the South Park theme song next time all right see you guys bye' you see you guys soon bye all guys bye' you see you guys soon bye all right uh let me how do you turn this right uh let me how do you turn this right uh let me how do you turn this thing off