IoT Coffee Talk: Episode 314 - "Forward Deployed Nonsense" (The New AI Consultant)

>> Yes. >> Yes. Yes. Yes. Yes. Yes. Yes. Yes. Yes. Yes. Yes. >> Friday. >> Friday. >> Friday. Wow. Wow. Wow. Wow. That's a great way to get get the Wow. That's a great way to get get the Wow. That's a great way to get get the weekend started, you know? weekend started, you know? weekend started, you know? >> Yeah. Down >> Yeah. Down >> Yeah. Down with it. with it. with it. >> Exactly. Love it. >> Exactly. Love it. >> Exactly. Love it. >> Now, welcome to IoT coffee. >> Now, welcome to IoT coffee. >> Now, welcome to IoT coffee. >> Dog. >> Dog. >> Dog. Start kick off your Start kick off your Start kick off your >> Yeah. And the lyrics of that dog >> Yeah. And the lyrics of that dog >> Yeah. And the lyrics of that dog >> weekend with a little bit of >> weekend with a little bit of >> weekend with a little bit of >> Living easy. >> Living easy. >> Living easy. Living easy. Loving free. Living easy. Loving free. Living easy. Loving free. >> Yeah. >> Yeah. >> Yeah. >> Something about monetizing Telco APIs. >> Something about monetizing Telco APIs. >> Something about monetizing Telco APIs. That's in the song, too, right? That's in the song, too, right? That's in the song, too, right? >> There's something about that in there. >> There's something about that in there. >> There's something about that in there. Yeah. Absolutely. Absolutely. Yeah. Absolutely. Absolutely. Yeah. Absolutely. Absolutely. >> You know what the secret of APIs is? >> You know what the secret of APIs is? >> You know what the secret of APIs is? >> What is it? >> What is it? >> What is it? >> Stop talking about it. >> Stop talking about it. >> Stop talking about it. It's not the thing that matters. It's not the thing that matters. It's not the thing that matters. >> [laughter] >> [laughter] >> [laughter] >> I mean, I don't know how years I've been >> I mean, I don't know how years I've been >> I mean, I don't know how years I've been saying this, saying this, saying this, but you know what kills me now is now but you know what kills me now is now but you know what kills me now is now everyone's talking about, "Oh, token." everyone's talking about, "Oh, token." everyone's talking about, "Oh, token." What is that? Token everything? What is that? Token everything? What is that? Token everything? >> Everything's token this. >> Everything's token this. >> Everything's token this. >> Come on. >> Come on. >> Come on. >> I know that thousands of years when the >> I know that thousands of years when the >> I know that thousands of years when the archeolo- archaeologists dig up our archeolo- archaeologists dig up our archeolo- archaeologists dig up our bones and they will build monuments bones and they will build monuments bones and they will build monuments based on the content that we shared here based on the content that we shared here based on the content that we shared here because this whole thing of just putting because this whole thing of just putting because this whole thing of just putting names on things that have been old and names on things that have been old and names on things that have been old and non-monetized for a long time and you non-monetized for a long time and you non-monetized for a long time and you just change the name and somehow that just change the name and somehow that just change the name and somehow that drives attention and it keeps working.

drives attention and it keeps working. drives attention and it keeps working. >> Yeah, yeah. >> Yeah, yeah. >> Yeah, yeah. What's the classic one? What's the classic one? What's the classic one? Forward deployed engineers. [laughter] Yes. Yes. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> Yeah, Palantir really Palantir dove into >> Yeah, Palantir really Palantir dove into >> Yeah, Palantir really Palantir dove into that deal and started talking about that deal and started talking about that deal and started talking about forward deployed engineers and then I'm forward deployed engineers and then I'm forward deployed engineers and then I'm seeing other companies do it. I'm seeing seeing other companies do it. I'm seeing seeing other companies do it. I'm seeing our friends at Rackspace who are our friends at Rackspace who are our friends at Rackspace who are partnering with Palantir and immediately partnering with Palantir and immediately partnering with Palantir and immediately "We have created 50 new We've trained up "We have created 50 new We've trained up "We have created 50 new We've trained up using Palantir training to create 50 new using Palantir training to create 50 new using Palantir training to create 50 new forward deployed engineers." Like forward deployed engineers." Like forward deployed engineers." Like and I'm like, "What is that again? What and I'm like, "What is that again? What and I'm like, "What is that again? What are those people are are those people are are those people are I think LIKE CONSULTANTS, YOU MEAN?" I think LIKE CONSULTANTS, YOU MEAN?" I think LIKE CONSULTANTS, YOU MEAN?" >> But Rob, but hold on. Hold on cuz you >> But Rob, but hold on. Hold on cuz you >> But Rob, but hold on. Hold on cuz you know know know it's also the mediocrity of it all. it's also the mediocrity of it all. it's also the mediocrity of it all. Someone saw Someone saw Someone saw a movie about the US military and the a movie about the US military and the a movie about the US military and the acronym FOB for forward operating base acronym FOB for forward operating base acronym FOB for forward operating base and someone said, "Okay, I'm going to and someone said, "Okay, I'm going to and someone said, "Okay, I'm going to grab this military term that sounds grab this military term that sounds grab this military term that sounds badass and it's been deployed and I'm badass and it's been deployed and I'm badass and it's been deployed and I'm going to make it a title and now it's going to make it a title and now it's going to make it a title and now it's like forward like forward like forward deployed something something engineer."

deployed something something engineer." deployed something something engineer." It's like, "So what? You already have It's like, "So what? You already have It's like, "So what? You already have the engineer. They were doing the engineer. They were doing the engineer. They were doing engineering things, but you're going to engineering things, but you're going to engineering things, but you're going to deploy them like physically and you're deploy them like physically and you're deploy them like physically and you're going to forward them physically going to forward them physically going to forward them physically somewhere like a consultant where you somewhere like a consultant where you somewhere like a consultant where you know with the client know with the client know with the client Dude, I don't know. I I might put it on Dude, I don't know. I I might put it on Dude, I don't know. I I might put it on LinkedIn on Monday to see if I get any LinkedIn on Monday to see if I get any LinkedIn on Monday to see if I get any bots trying to bots trying to bots trying to hire a forward a forward deployable hire a forward a forward deployable hire a forward a forward deployable engineer. engineer. engineer. >> Yeah, I think it should >> Yeah, I think it should >> Yeah, I think it should >> I'm not an engineer, but that's beside >> I'm not an engineer, but that's beside >> I'm not an engineer, but that's beside the point. the point. the point. >> Yeah, we we have to >> Yeah, we we have to >> Yeah, we we have to >> Yeah. >> Yeah. >> Yeah. >> People believe you're an engineer >> People believe you're an engineer >> People believe you're an engineer though. though. though. >> Yeah. >> Yeah. >> Yeah. No, they think you are, man. No, they think you are, man. No, they think you are, man. >> You're on this show talking tech every >> You're on this show talking tech every >> You're on this show talking tech every week and they believe that you're an week and they believe that you're an week and they believe that you're an engineer. engineer. engineer. >> Well, you know what? They have different >> Well, you know what? They have different >> Well, you know what? They have different levels of engineers. You have to levels of engineers. You have to levels of engineers. You have to recognize that, right? I mean Um you recognize that, right? I mean Um you recognize that, right? I mean Um you know know know >> Are you a you're a colonel? >> Are you a you're a colonel? >> Are you a you're a colonel? >> I'm sure that you can prove to us that >> I'm sure that you can prove to us that >> I'm sure that you can prove to us that you're a prompt engineer. you're a prompt engineer. you're a prompt engineer. >> [laughter] >> You know, it's funny even I was going to >> You know, it's funny even I was going to go you know go you know go you know >> That's just straight up appropriation.

>> That's just straight up appropriation. >> That's just straight up appropriation. >> talking about levels. >> talking about levels. >> talking about levels. I was just going to go with you know how I was just going to go with you know how I was just going to go with you know how we had levels in enterp- IT and I would we had levels in enterp- IT and I would we had levels in enterp- IT and I would be like level like best support number be like level like best support number be like level like best support number one like your printer guy. I will help one like your printer guy. I will help one like your printer guy. I will help you out set up your printer. you out set up your printer. you out set up your printer. >> engineer. >> engineer. >> engineer. >> Yes. Yeah, let's do that. >> Yes. Yeah, let's do that. >> Yes. Yeah, let's do that. >> And you know >> And you know >> And you know >> Yes. >> Yes. >> Yes. >> The printer was obviously one of the >> The printer was obviously one of the >> The printer was obviously one of the most frustrating problems in IT back in most frustrating problems in IT back in most frustrating problems in IT back in the day. PC load letter, WHAT THE HELL the day. PC load letter, WHAT THE HELL the day. PC load letter, WHAT THE HELL DOES THAT MEAN? DOES THAT MEAN? DOES THAT MEAN? >> OH MY GOD. >> OH MY GOD. >> OH MY GOD. >> [laughter] >> THE THE THE PEOPLE >> THE THE THE PEOPLE >> THE PEOPLE IN charge and for you folks >> THE PEOPLE IN charge and for you folks >> THE PEOPLE IN charge and for you folks that work for a really big company with that work for a really big company with that work for a really big company with lots of printers and the person that lots of printers and the person that lots of printers and the person that decided to name all these printers decided to name all these printers decided to name all these printers across different floors so close and across different floors so close and across different floors so close and then you print something and you go to then you print something and you go to then you print something and you go to the printer you think you were using and the printer you think you were using and the printer you think you were using and it's like three buildings away on the it's like three buildings away on the it's like three buildings away on the next campus over. Uh what a nightmare. next campus over. Uh what a nightmare. next campus over. Uh what a nightmare. >> Yeah. >> Yeah. >> Yeah. >> But that's how it used to when we had >> But that's how it used to when we had >> But that's how it used to when we had real jobs that you used to go into a real jobs that you used to go into a real jobs that you used to go into a physical place and you had to print physical place and you had to print physical place and you had to print things.

things. things. >> Well, remember in Iraq? >> Well, remember in Iraq? >> Well, remember in Iraq? >> Yeah. I missed that. >> Yeah. I missed that. >> Yeah. I missed that. >> You know, early days >> You know, early days >> You know, early days before everything became TCP/IP, which before everything became TCP/IP, which before everything became TCP/IP, which this takes us back to the dark times. this takes us back to the dark times. this takes us back to the dark times. It As it turns out, in the early days It As it turns out, in the early days It As it turns out, in the early days when you had a local area network, let's when you had a local area network, let's when you had a local area network, let's say you were running Windows for say you were running Windows for say you were running Windows for Workgroups or maybe an early version of Workgroups or maybe an early version of Workgroups or maybe an early version of Windows NT, and you had a printer and Windows NT, and you had a printer and Windows NT, and you had a printer and you wanted the printer to be shared so you wanted the printer to be shared so you wanted the printer to be shared so that everybody could see it. that everybody could see it. that everybody could see it. You used this protocol like SNA, You used this protocol like SNA, You used this protocol like SNA, which was like a mainframe protocol in which was like a mainframe protocol in which was like a mainframe protocol in order to talk to your HP order to talk to your HP order to talk to your HP shared printer. shared printer. shared printer. And people be like, PC load letter all And people be like, PC load letter all And people be like, PC load letter all over again. Yeah, it's it's bizarre. I over again. Yeah, it's it's bizarre. I over again. Yeah, it's it's bizarre. I don't know what happened. But now we don't know what happened. But now we don't know what happened. But now we have even now that we think we've been have even now that we think we've been have even now that we think we've been doing printers for so long, and we have doing printers for so long, and we have doing printers for so long, and we have wireless printers and shared printers, wireless printers and shared printers, wireless printers and shared printers, and we still have problems with and we still have problems with and we still have problems with printers. As if it's It might as well be printers. As if it's It might as well be printers. As if it's It might as well be 1992. 1992. 1992. >> I have a problems with smart home. >> I have a problems with smart home. >> I have a problems with smart home. >> Because because these things are are >> Because because these things are are >> Because because these things are are fragmented. Even the paper size. A4 for fragmented. Even the paper size. A4 for fragmented. Even the paper size. A4 for me in the US just does something me in the US just does something me in the US just does something different here across the Atlantic different here across the Atlantic different here across the Atlantic because it's sent to meters to inches or because it's sent to meters to inches or because it's sent to meters to inches or something like that.

something like that. something like that. >> No, I It's weird. >> No, I It's weird. >> No, I It's weird. >> I used >> I used >> I used >> know what people on the other side of >> know what people on the other side of >> know what people on the other side of the Atlantic were thinking. the Atlantic were thinking. the Atlantic were thinking. >> They were rebelling. >> They were rebelling. >> They were rebelling. Yeah. Yeah. Yeah. >> city are you in right now? >> city are you in right now? >> city are you in right now? >> It's a sovereign paper format. >> It's a sovereign paper format. >> It's a sovereign paper format. >> have >> have >> have >> [laughter] >> [laughter] >> [laughter] >> No, I am just outside of Geneva. >> No, I am just outside of Geneva. >> No, I am just outside of Geneva. Uh literally I can see the Uh literally I can see the Uh literally I can see the Literally I can right like from right Literally I can right like from right Literally I can right like from right here I can here I can here I can Yes, literally I Yes, literally I Yes, literally I >> talking about. What the hell? And you >> talking about. What the hell? And you >> talking about. What the hell? And you should be sitting the other way. should be sitting the other way. should be sitting the other way. >> No, man. Because have you seen these >> No, man. Because have you seen these >> No, man. Because have you seen these kids what they do with like a little kids what they do with like a little kids what they do with like a little picture and and couple of prompts, and picture and and couple of prompts, and picture and and couple of prompts, and then they find out where you are, and then they find out where you are, and then they find out where you are, and then they want to take my my Pacific then they want to take my my Pacific then they want to take my my Pacific Northwest Cascades North Face hat, man. Northwest Cascades North Face hat, man. Northwest Cascades North Face hat, man. >> Ooh. Wow. >> Ooh. Wow. >> Ooh. Wow. >> And this is this is limited. This is >> And this is this is limited. This is >> And this is this is limited. This is like one of like two billion that they like one of like two billion that they like one of like two billion that they made. And made. And made. And >> I can tell it's limited. Yeah. Yeah, >> I can tell it's limited. Yeah. Yeah, >> I can tell it's limited. Yeah. Yeah, that's awesome, man. that's awesome, man. that's awesome, man. >> Yeah, all all I can say is that >> Yeah, all all I can say is that >> Yeah, all all I can say is that >> That's a real weird pose right there. >> That's a real weird pose right there. >> That's a real weird pose right there. >> [laughter] >> [laughter] >> [laughter] >> It's like a champagne bottle from the >> It's like a champagne bottle from the >> It's like a champagne bottle from the pose.

pose. pose. >> I really like the pose on which is kind >> I really like the pose on which is kind >> I really like the pose on which is kind of around the lake from you a little of around the lake from you a little of around the lake from you a little bit, you know? bit, you know? bit, you know? >> Yeah, it's nice. No, it's >> Yeah, it's nice. No, it's >> Yeah, it's nice. No, it's >> Ah. >> Ah. >> Ah. >> It's cool, man. >> It's cool, man. >> It's cool, man. Um you know, trying to Um you know, trying to Um you know, trying to um What was I trying to do? What was I trying to do? As I try to build community here and As I try to build community here and As I try to build community here and trying is the keyword. trying is the keyword. trying is the keyword. Um Um Um You know, you have You know, you have You know, you have I I think I I think I I think we all think of Silicon Valley because, we all think of Silicon Valley because, we all think of Silicon Valley because, well, that's where, you know, well, that's where, you know, well, that's where, you know, traditionally the value has been at, but traditionally the value has been at, but traditionally the value has been at, but the reality is, you know, all these you the reality is, you know, all these you the reality is, you know, all these you know, smaller countries know, smaller countries know, smaller countries do have a startup scene. It's just that do have a startup scene. It's just that do have a startup scene. It's just that they don't make TV show about them. they don't make TV show about them. they don't make TV show about them. >> Yeah. >> Yeah. >> Yeah. >> But it's But it's quite interesting cuz >> But it's But it's quite interesting cuz >> But it's But it's quite interesting cuz you see a lot of them uh you see a lot of them uh you see a lot of them uh are heavily localized in that they're are heavily localized in that they're are heavily localized in that they're trying to solve a problem where the trying to solve a problem where the trying to solve a problem where the majority of the customers are here. Not majority of the customers are here. Not majority of the customers are here. Not every startup in Europe is thinking every startup in Europe is thinking every startup in Europe is thinking about US and China. about US and China. about US and China. Some [clears throat] of them The Some [clears throat] of them The Some [clears throat] of them The majority are, but there's a bunch of majority are, but there's a bunch of majority are, but there's a bunch of them that are like, "Oh, there's this them that are like, "Oh, there's this them that are like, "Oh, there's this problem that the vineyards on this part problem that the vineyards on this part problem that the vineyards on this part of Switzerland have."

of Switzerland have." of Switzerland have." And that's my focus. And that's my focus. And that's my focus. Um Um Um Yeah. Yeah. Yeah. >> Oh. >> Oh. >> Oh. >> Uh see, and that's another thing that >> Uh see, and that's another thing that >> Uh see, and that's another thing that Did you know that there's a Did you know that there's a Did you know that there's a um um um Switzerland Switzerland Switzerland uh is a big uh wine-growing country, but uh is a big uh wine-growing country, but uh is a big uh wine-growing country, but they only export about 4% of the wines. they only export about 4% of the wines. they only export about 4% of the wines. The majority are basically the other 96% The majority are basically the other 96% The majority are basically the other 96% is consumed in country. And I knew very is consumed in country. And I knew very is consumed in country. And I knew very very very little about Swiss wines very very little about Swiss wines very very little about Swiss wines until I came here and I'm like, "Oh, uh until I came here and I'm like, "Oh, uh until I came here and I'm like, "Oh, uh you you guys have the wines, too?" But you you guys have the wines, too?" But you you guys have the wines, too?" But um and there's a bunch of things, know, um and there's a bunch of things, know, um and there's a bunch of things, know, labor costs are much higher here. Um, labor costs are much higher here. Um, labor costs are much higher here. Um, the laws are really strict, so things the laws are really strict, so things the laws are really strict, so things cost more to produce. And that shows up cost more to produce. And that shows up cost more to produce. And that shows up at the retail store when you might find at the retail store when you might find at the retail store when you might find a comparable wine from Italy or France, a comparable wine from Italy or France, a comparable wine from Italy or France, which shares a border with with which shares a border with with which shares a border with with Switzerland. And all of a sudden, the Switzerland. And all of a sudden, the Switzerland. And all of a sudden, the extra money, whatever that number is, extra money, whatever that number is, extra money, whatever that number is, doesn't really matter for the sake of doesn't really matter for the sake of doesn't really matter for the sake of this conversation, but it's very this conversation, but it's very this conversation, but it's very expensive to buy Swiss wine, whether expensive to buy Swiss wine, whether expensive to buy Swiss wine, whether that is nice Swiss wine or cheaper Swiss that is nice Swiss wine or cheaper Swiss that is nice Swiss wine or cheaper Swiss wine when you have wine when you have wine when you have Italian and French wines everywhere. But Italian and French wines everywhere. But Italian and French wines everywhere. But yeah, it's a thing here, man. And there yeah, it's a thing here, man. And there yeah, it's a thing here, man. And there are startups trying to are startups trying to are startups trying to optimize things optimize things optimize things uh, just because margins are tough.

uh, just because margins are tough. uh, just because margins are tough. >> Yeah. Yeah. I love that area. >> Yeah. Yeah. I love that area. >> Yeah. Yeah. I love that area. You when you're you go through Lausanne You when you're you go through Lausanne You when you're you go through Lausanne and you're going to keep on going and you're going to keep on going and you're going to keep on going um, um, um, past Pully. Anyway, there's that whole past Pully. Anyway, there's that whole past Pully. Anyway, there's that whole vineyard area, you know, and it's going vineyard area, you know, and it's going vineyard area, you know, and it's going all the way down the side of, you know, all the way down the side of, you know, all the way down the side of, you know, down to the lake to Lac Leman. down to the lake to Lac Leman. down to the lake to Lac Leman. >> Yeah, you're speaking of Lavaux. You're >> Yeah, you're speaking of Lavaux. You're >> Yeah, you're speaking of Lavaux. You're speaking of Lavaux and it goes from uh, speaking of Lavaux and it goes from uh, speaking of Lavaux and it goes from uh, from well, outside of Geneva all the way from well, outside of Geneva all the way from well, outside of Geneva all the way to Lavaux and Montreux. And yes, it goes to Lavaux and Montreux. And yes, it goes to Lavaux and Montreux. And yes, it goes all the way down to the lake. It's uh, all the way down to the lake. It's uh, all the way down to the lake. It's uh, beautiful. Really, really pretty. beautiful. Really, really pretty. beautiful. Really, really pretty. Uh, lots of manual labor. Uh, lots of manual labor. Uh, lots of manual labor. Uh, the only the only autonomous Uh, the only the only autonomous Uh, the only the only autonomous um, tractors I've been able to catch in um, tractors I've been able to catch in um, tractors I've been able to catch in operation are doing tilling. operation are doing tilling. operation are doing tilling. Uh, I'm not saying that's the only one. Uh, I'm not saying that's the only one. Uh, I'm not saying that's the only one. I'm just saying that's the only one I've I'm just saying that's the only one I've I'm just saying that's the only one I've seen. seen. seen. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> There's there's a lot of manually taking >> There's there's a lot of manually taking >> There's there's a lot of manually taking care of uh, care of uh, care of uh, of the vineyards. Uh, you know, funny of the vineyards. Uh, you know, funny of the vineyards. Uh, you know, funny enough in in a low-tech thing. Um, enough in in a low-tech thing. Um, enough in in a low-tech thing. Um, imagine your traditional um, like the imagine your traditional um, like the imagine your traditional um, like the plastic chair that we would get at plastic chair that we would get at plastic chair that we would get at baseball stadiums in the '90s baseball stadiums in the '90s baseball stadiums in the '90s >> Yeah.

>> Yeah. >> Yeah. >> with three wheels. And these guys kind >> with three wheels. And these guys kind >> with three wheels. And these guys kind of just go from tree to tree and kind of of just go from tree to tree and kind of of just go from tree to tree and kind of scoot and go over and over and that's scoot and go over and over and that's scoot and go over and over and that's what you see. what you see. what you see. Why? Because the dexterity that's needed Why? Because the dexterity that's needed Why? Because the dexterity that's needed today, only a human can do it. And today, only a human can do it. And today, only a human can do it. And either the robots either the robots either the robots either the robots are not available or either the robots are not available or either the robots are not available or they're too expensive. So that's most of they're too expensive. So that's most of they're too expensive. So that's most of what I see here when it comes to what I see here when it comes to what I see here when it comes to touching the vineyards. Oh, with the touching the vineyards. Oh, with the touching the vineyards. Oh, with the caveat, I'm talking about the the the caveat, I'm talking about the the the caveat, I'm talking about the the the organic growers which which have organic growers which which have organic growers which which have different regulations than the folks different regulations than the folks different regulations than the folks that do use and leverage pesticides. that do use and leverage pesticides. that do use and leverage pesticides. >> Yeah. >> Yeah. >> Yeah. That's interesting because you know, That's interesting because you know, That's interesting because you know, when you think of agriculture and the when you think of agriculture and the when you think of agriculture and the fact that fact that fact that for for for thousands of years or at least since thousands of years or at least since thousands of years or at least since modern modern modern you know, you know, you know, the industrial revolution, they still the industrial revolution, they still the industrial revolution, they still haven't figured out how to create a haven't figured out how to create a haven't figured out how to create a machine that can handle certain types of machine that can handle certain types of machine that can handle certain types of crops. And and crops. And and crops. And and >> Without squishing >> Without squishing >> Without squishing >> Yeah, without Yeah, exactly. I think we >> Yeah, without Yeah, exactly. I think we >> Yeah, without Yeah, exactly. I think we a couple of weeks ago we talked about a couple of weeks ago we talked about a couple of weeks ago we talked about tactile and so there all these people tactile and so there all these people tactile and so there all these people talking about world models, you know, talking about world models, you know, talking about world models, you know, Google had their uh Google had their uh Google had their uh What is it? The Google IO?

What is it? The Google IO? What is it? The Google IO? >> Google IO. >> Google IO. >> Google IO. >> And so they they announced Omni and they >> And so they they announced Omni and they >> And so they they announced Omni and they said, "Hey, it's our world model." And I said, "Hey, it's our world model." And I said, "Hey, it's our world model." And I was thinking, "Maybe not." And so was thinking, "Maybe not." And so was thinking, "Maybe not." And so there's this one guy and he's like one there's this one guy and he's like one there's this one guy and he's like one uh uh uh one of those AI influencer dudes. Um one of those AI influencer dudes. Um one of those AI influencer dudes. Um he he he uh Linus something or other. Uh uh Linus something or other. Uh uh Linus something or other. Uh he made a comment, "Hey, you know, he made a comment, "Hey, you know, he made a comment, "Hey, you know, Google came out with a world model." And Google came out with a world model." And Google came out with a world model." And I made a comment, "Is it really a world I made a comment, "Is it really a world I made a comment, "Is it really a world model or should we bring in, you know, model or should we bring in, you know, model or should we bring in, you know, Yann LeCun and Fei-Fei Li into this Yann LeCun and Fei-Fei Li into this Yann LeCun and Fei-Fei Li into this conversation and see whether or not what conversation and see whether or not what conversation and see whether or not what they think, right?" Cuz they're talking they think, right?" Cuz they're talking they think, right?" Cuz they're talking about about about world models being the next frontier and world models being the next frontier and world models being the next frontier and you're saying it's here. I know that I know that the big the thing is all these are based the big the thing is all these are based the big the thing is all these are based on vision, but there's no tactile stuff. on vision, but there's no tactile stuff. on vision, but there's no tactile stuff. >> That That's a good point cuz cuz Google >> That That's a good point cuz cuz Google >> That That's a good point cuz cuz Google has had has had has had internally a world model for a long internally a world model for a long internally a world model for a long time, which they used to train the Waymo time, which they used to train the Waymo time, which they used to train the Waymo cars on. cars on. cars on. And so, you know, like if you read up on And so, you know, like if you read up on And so, you know, like if you read up on all the stuff they did with Waymo, all the stuff they did with Waymo, all the stuff they did with Waymo, every Waymo car has already done a every Waymo car has already done a every Waymo car has already done a billion trips billion trips billion trips in every city on every part of the in every city on every part of the in every city on every part of the planet based on their world models that planet based on their world models that planet based on their world models that they the digital twins they used to they the digital twins they used to they the digital twins they used to train the vehicles cuz they're like the train the vehicles cuz they're like the train the vehicles cuz they're like the vehicle in the real world will never do vehicle in the real world will never do vehicle in the real world will never do as many trips and go as many places as as many trips and go as many places as as many trips and go as many places as it will it will it will in cyberspace in this, you know, just in cyberspace in this, you know, just in cyberspace in this, you know, just like when you hear, you know, Jensen like when you hear, you know, Jensen like when you hear, you know, Jensen talking about their What is it?

talking about their What is it? talking about their What is it? Omniverse or whatever their thing is. Omniverse or whatever their thing is. Omniverse or whatever their thing is. Yeah. Yeah. Yeah. Yeah. Um Yeah. Um Yeah. Um yeah, it's kind of interesting. yeah, it's kind of interesting. yeah, it's kind of interesting. >> Yeah, and then, you know, there's that >> Yeah, and then, you know, there's that >> Yeah, and then, you know, there's that um um um >> Yeah, it is hard. >> Yeah, it is hard. >> Yeah, it is hard. >> Just tactile's hard. >> Just tactile's hard. >> Just tactile's hard. I saw today a I saw today a I saw today a a video from a Chinese OEM a video from a Chinese OEM a video from a Chinese OEM uh where they uh where they uh where they had had had uh uh uh um robotic hands um robotic hands um robotic hands uh putting together uh putting together uh putting together the the best of it was smaller, but it the the best of it was smaller, but it the the best of it was smaller, but it Remember how we put together pizza Remember how we put together pizza Remember how we put together pizza boxes? You know, it's kind of like a few boxes? You know, it's kind of like a few boxes? You know, it's kind of like a few folds and then the pizza box you just folds and then the pizza box you just folds and then the pizza box you just So, they were doing that with with a So, they were doing that with with a So, they were doing that with with a smaller box for smaller components. But smaller box for smaller components. But smaller box for smaller components. But there's a But, you know, cardboard when there's a But, you know, cardboard when there's a But, you know, cardboard when you have uh a good production of you have uh a good production of you have uh a good production of cardboard, you you get that cardboard, you you get that cardboard, you you get that uh it's easy to reproduce the same type uh it's easy to reproduce the same type uh it's easy to reproduce the same type of cardboard in terms of in terms of of cardboard in terms of in terms of of cardboard in terms of in terms of like density and flexibility, etc. Less like density and flexibility, etc. Less like density and flexibility, etc. Less much with a with a natural living much with a with a natural living much with a with a natural living organic thing like a grape. organic thing like a grape. organic thing like a grape. >> Yeah. >> Yeah. >> Yeah. >> Yeah. Um >> Yeah. Um >> Yeah. Um And so, yeah, so I I I think we're um And so, yeah, so I I I think we're um And so, yeah, so I I I think we're um I mean, we we've seen this, Rob. We've I mean, we we've seen this, Rob. We've I mean, we we've seen this, Rob. We've seen I think with uh with peaches and seen I think with uh with peaches and seen I think with uh with peaches and mangoes, we've seen the robotic arm with mangoes, we've seen the robotic arm with mangoes, we've seen the robotic arm with the with a suction cup, right? Cuz it's the with a suction cup, right? Cuz it's the with a suction cup, right? Cuz it's got a, you know, like little vacuum got a, you know, like little vacuum got a, you know, like little vacuum function. So, that's that, but I think function. So, that's that, but I think function. So, that's that, but I think back to the example of people that I see back to the example of people that I see back to the example of people that I see here.

here. here. >> but it's not Yeah, it's not a humanoid. >> but it's not Yeah, it's not a humanoid. >> but it's not Yeah, it's not a humanoid. >> Right. But, you have all these people >> Right. But, you have all these people >> Right. But, you have all these people It's not human. It's not human. It's not human. >> trying to pursue general-purpose >> trying to pursue general-purpose >> trying to pursue general-purpose humanoid robotics with this hypothesis humanoid robotics with this hypothesis humanoid robotics with this hypothesis that somehow that's going to that somehow that's going to that somehow that's going to revolutionize industry, revolutionize industry, revolutionize industry, but the productive form factor the fact but the productive form factor the fact but the productive form factor the fact the form factor that's going to actually the form factor that's going to actually the form factor that's going to actually be scalable, right? From a productivity be scalable, right? From a productivity be scalable, right? From a productivity perspective, looks nothing like a human. perspective, looks nothing like a human. perspective, looks nothing like a human. You the human hand is not perfect for You the human hand is not perfect for You the human hand is not perfect for everything, right? And this is where I everything, right? And this is where I everything, right? And this is where I think think think uh as this uh as this uh as this physical AI hype cycle starts to go physical AI hype cycle starts to go physical AI hype cycle starts to go ballistic, this is what everyone's going ballistic, this is what everyone's going ballistic, this is what everyone's going to discover is like, "Oh, to discover is like, "Oh, to discover is like, "Oh, we don't even have the spatial stuff we don't even have the spatial stuff we don't even have the spatial stuff right. right. right. We just have all these vision models We just have all these vision models We just have all these vision models that are giving us some, you know, that are giving us some, you know, that are giving us some, you know, reference on how to generate a reference on how to generate a reference on how to generate a uh 5-second clip without having the the, uh 5-second clip without having the the, uh 5-second clip without having the the, you know, video the generated video go you know, video the generated video go you know, video the generated video go off the rails from a physics standpoint.

off the rails from a physics standpoint. off the rails from a physics standpoint. "Oh, so this is all the other stuff we "Oh, so this is all the other stuff we "Oh, so this is all the other stuff we need to do. You know, and here's all the need to do. You know, and here's all the need to do. You know, and here's all the other data we don't have that has other data we don't have that has other data we don't have that has nothing to do with vision nothing to do with vision nothing to do with vision or language or any of this stuff. It it or language or any of this stuff. It it or language or any of this stuff. It it it's like literally IoT level it's like literally IoT level it's like literally IoT level telemetry that then has to be I mean, telemetry that then has to be I mean, telemetry that then has to be I mean, think about it. The think about it. The think about it. The The simple exercise of folding laundry, The simple exercise of folding laundry, The simple exercise of folding laundry, which is apparently the biggest deal which is apparently the biggest deal which is apparently the biggest deal that that's like Turing test for that that's like Turing test for that that's like Turing test for physical AI, right? That we we talked physical AI, right? That we we talked physical AI, right? That we we talked about. about. about. If you can't fold laundry, If you can't fold laundry, If you can't fold laundry, you're screwed. And they're all trying you're screwed. And they're all trying you're screwed. And they're all trying to do it with vision, but it you know, to do it with vision, but it you know, to do it with vision, but it you know, we can fold laundry without vision. We we can fold laundry without vision. We we can fold laundry without vision. We can feel it. We have a sense of can feel it. We have a sense of can feel it. We have a sense of spatial We have spatial sense. I can spatial We have spatial sense. I can spatial We have spatial sense. I can fold shirts really badly without robots. fold shirts really badly without robots. fold shirts really badly without robots. >> [laughter] >> Yeah, YOU KNOW WHAT? YOU CAN DO A LOT of >> Yeah, YOU KNOW WHAT? YOU CAN DO A LOT of stuff without any vision. stuff without any vision. stuff without any vision. >> Yeah. >> Yeah. >> Yeah. >> And guess what >> And guess what >> And guess what what the proof is? what the proof is? what the proof is? It it people who are vision impaired.

It it people who are vision impaired. It it people who are vision impaired. >> Yeah. You know, I was thinking David, >> Yeah. You know, I was thinking David, >> Yeah. You know, I was thinking David, you're mentioning holding the pizza you're mentioning holding the pizza you're mentioning holding the pizza boxes. boxes. boxes. And you see people doing that. And some And you see people doing that. And some And you see people doing that. And some people are really fast. people are really fast. people are really fast. >> Oh, yeah. >> Oh, yeah. >> Oh, yeah. >> And um >> And um >> And um I think it's better for people to I'm I think it's better for people to I'm I think it's better for people to I'm just I'm such a part of the people kind just I'm such a part of the people kind just I'm such a part of the people kind of deal with some of this stuff we're of deal with some of this stuff we're of deal with some of this stuff we're trying to take over and the best example trying to take over and the best example trying to take over and the best example I have that makes more sense is I have that makes more sense is I have that makes more sense is and I used to go to a Mod Pizza in and I used to go to a Mod Pizza in and I used to go to a Mod Pizza in Redmond and Redmond and Redmond and if it's like kind of after 11:00 a.m. or if it's like kind of after 11:00 a.m. or if it's like kind of after 11:00 a.m. or whatever and you know, whatever and you know, whatever and you know, they have a they had a young kid with they have a they had a young kid with they have a they had a young kid with Down syndrome in there and that's what Down syndrome in there and that's what Down syndrome in there and that's what he does and he makes the pizza boxes for he does and he makes the pizza boxes for he does and he makes the pizza boxes for Mod Pizza. Mod Pizza. Mod Pizza. I'm like, I'm like, I'm like, let's let's do with that. That makes let's let's do with that. That makes let's let's do with that. That makes more sense for society and you know what more sense for society and you know what more sense for society and you know what I mean? I mean? I mean? >> Yeah, well that's a good example of you >> Yeah, well that's a good example of you >> Yeah, well that's a good example of you have someone who learns differently and have someone who learns differently and have someone who learns differently and adapts differently. adapts differently. adapts differently. >> Yeah. >> Yeah. >> Yeah. >> We need someone to do this.

>> We need someone to do this. >> We need someone to do this. And yeah, like this why not? You had me And yeah, like this why not? You had me And yeah, like this why not? You had me at here. Uh let's go. Um we need we at here. Uh let's go. Um we need we at here. Uh let's go. Um we need we definitely need more of that, not not definitely need more of that, not not definitely need more of that, not not less. less. less. >> Yeah, >> Yeah, >> Yeah, and it's you know, it's not like and it's you know, it's not like and it's you know, it's not like you were you're rejecting the you were you're rejecting the you were you're rejecting the technology. It's technology. It's technology. It's uh we're we're we've we're doing our uh we're we're we've we're doing our uh we're we're we've we're doing our homework constantly about this stuff. homework constantly about this stuff. homework constantly about this stuff. The problem is is when you have folks The problem is is when you have folks The problem is is when you have folks who are imagining have the a vivid who are imagining have the a vivid who are imagining have the a vivid imagination of what technology can do imagination of what technology can do imagination of what technology can do and waste other people's time by telling and waste other people's time by telling and waste other people's time by telling them you should do this ridiculous them you should do this ridiculous them you should do this ridiculous nonsensical thing nonsensical thing nonsensical thing and waste everyone's time, waste and waste everyone's time, waste and waste everyone's time, waste everyone's money. You know, there's just everyone's money. You know, there's just everyone's money. You know, there's just certain non-fit-for-purpose certain non-fit-for-purpose certain non-fit-for-purpose conversation conversation conversation that you can have and there's way too that you can have and there's way too that you can have and there's way too much of that, right? And that's why much of that, right? And that's why much of that, right? And that's why you're seeing all of this backtracking you're seeing all of this backtracking you're seeing all of this backtracking and you know, if for the audience, if and you know, if for the audience, if and you know, if for the audience, if you've been watching IoT Coffee Talk, you've been watching IoT Coffee Talk, you've been watching IoT Coffee Talk, one of the reasons why you see keep one of the reasons why you see keep one of the reasons why you see keep hearing this AI adoption question hearing this AI adoption question hearing this AI adoption question is because nothing the people that said is because nothing the people that said is because nothing the people that said in the beginning has panned out. I mean in the beginning has panned out. I mean in the beginning has panned out. I mean none of it.

none of it. none of it. And where we're going is And where we're going is And where we're going is with Agentyc is with Agentyc is with Agentyc is stuff that is so pared down with agency stuff that is so pared down with agency stuff that is so pared down with agency stripped away from it, you might as well stripped away from it, you might as well stripped away from it, you might as well call it like an object-oriented class. call it like an object-oriented class. call it like an object-oriented class. >> [laughter] >> [laughter] >> [laughter] >> It's just >> It's just >> It's just at the end of the day is basic software at the end of the day is basic software at the end of the day is basic software that now you're running on a GPU that now you're running on a GPU that now you're running on a GPU and instead of bits and byte-based, it's and instead of bits and byte-based, it's and instead of bits and byte-based, it's token-based and it's token-based and it's token-based and it's I don't know, how efficient is it? You I don't know, how efficient is it? You I don't know, how efficient is it? You know, you're trying to calculate 1 + 1 know, you're trying to calculate 1 + 1 know, you're trying to calculate 1 + 1 and this thing is burning tokens like and this thing is burning tokens like and this thing is burning tokens like crazy just to get crazy just to get crazy just to get It makes no right sense. It makes no right sense. It makes no right sense. >> I really think Cheech and Chong would >> I really think Cheech and Chong would >> I really think Cheech and Chong would have a different perspective on tokens, have a different perspective on tokens, have a different perspective on tokens, you know? you know? you know? And how they should be used. And how they should be used. And how they should be used. >> Yeah, >> Yeah, >> Yeah, >> [laughter] >> [laughter] >> [laughter] >> go go to Oregon >> go go to Oregon >> go go to Oregon at the border. at the border. at the border. And then find out what the price of And then find out what the price of And then find out what the price of tokenomics is. tokenomics is. tokenomics is. >> [laughter] >> [laughter] >> [laughter] >> I think it was >> You know, I think that if >> You know, I think that if if social media had arrived if social media had arrived if social media had arrived I don't know, 10 years before it did I don't know, 10 years before it did I don't know, 10 years before it did I think we'll have more old school I think we'll have more old school I think we'll have more old school people that knew how tech work calling people that knew how tech work calling people that knew how tech work calling out a lot of this stuff because sticking out a lot of this stuff because sticking out a lot of this stuff because sticking to to to v- vation and tactile uh v- vation and tactile uh v- vation and tactile uh for today in in agriculture there's a for today in in agriculture there's a for today in in agriculture there's a lot of proven uh examples where you can lot of proven uh examples where you can lot of proven uh examples where you can automate some of the weed sapping, automate some of the weed sapping, automate some of the weed sapping, right? Because it is vision specific, right? Because it is vision specific, right? Because it is vision specific, it's looking for a specific signature on

it's looking for a specific signature on it's looking for a specific signature on the ground, laser, boom, boom. Like, the ground, laser, boom, boom. Like, the ground, laser, boom, boom. Like, proven, it works, the it's deployed, proven, it works, the it's deployed, proven, it works, the it's deployed, it's it's working, right? And someone it's it's working, right? And someone it's it's working, right? And someone says, they go to the basics, "Oh, a says, they go to the basics, "Oh, a says, they go to the basics, "Oh, a vision system, they identify this thing vision system, they identify this thing vision system, they identify this thing that should or should not be there, and that should or should not be there, and that should or should not be there, and takes an action, and it's automated, and takes an action, and it's automated, and takes an action, and it's automated, and then they change the weed for something then they change the weed for something then they change the weed for something else." Mind you, this person has else." Mind you, this person has else." Mind you, this person has probably never been in a farm, has never probably never been in a farm, has never probably never been in a farm, has never met a farmer, probably doesn't even have met a farmer, probably doesn't even have met a farmer, probably doesn't even have steel steel steel steel toe boots or or hiking or or steel toe boots or or hiking or or steel toe boots or or hiking or or nothing. And then they just say, "Oh, nothing. And then they just say, "Oh, nothing. And then they just say, "Oh, wait, you can do this and take it and wait, you can do this and take it and wait, you can do this and take it and and and use it for, Rob, you're going to and and use it for, Rob, you're going to and and use it for, Rob, you're going to love this, to strip barnacles off the, love this, to strip barnacles off the, love this, to strip barnacles off the, uh, US, uh, Navy, uh, destroyers and uh, US, uh, Navy, uh, destroyers and uh, US, uh, Navy, uh, destroyers and carriers." carriers." carriers." >> Because it it sapped the weeds, it could >> Because it it sapped the weeds, it could >> Because it it sapped the weeds, it could absolutely sap the barnacles. absolutely sap the barnacles. absolutely sap the barnacles. >> Yes. Yeah. Why not? >> Yes. Yeah. Why not? >> Yes. Yeah. Why not? >> And no one says, like, "Hold on, guy, >> And no one says, like, "Hold on, guy, >> And no one says, like, "Hold on, guy, you're going from above ground to you're going from above ground to you're going from above ground to underwater, going to have a few issues.

underwater, going to have a few issues. underwater, going to have a few issues. Um, also, barnacles, you cannot just sap Um, also, barnacles, you cannot just sap Um, also, barnacles, you cannot just sap them, you actually need like a physical them, you actually need like a physical them, you actually need like a physical the like and anyway, and we are full of the like and anyway, and we are full of the like and anyway, and we are full of this stuff because it worked here, this stuff because it worked here, this stuff because it worked here, someone gets on a soapbox and says that someone gets on a soapbox and says that someone gets on a soapbox and says that it works over there, and people going it works over there, and people going it works over there, and people going like, I Who idiot. That guy or am I like, I Who idiot. That guy or am I like, I Who idiot. That guy or am I nuts? nuts? nuts? >> Yeah. And so, you know what you know why >> Yeah. And so, you know what you know why >> Yeah. And so, you know what you know why what the red flag is? When you know the what the red flag is? When you know the what the red flag is? When you know the [ __ ] is about to hit the fan, you know [ __ ] is about to hit the fan, you know [ __ ] is about to hit the fan, you know what happens? what happens? what happens? >> What? >> What? >> What? >> Board deployed engineers. >> Board deployed engineers. >> Board deployed engineers. >> [laughter] >> [laughter] >> [laughter] >> Yeah. A- As soon as things get >> Yeah. A- As soon as things get >> Yeah. A- As soon as things get ridiculous, they they they they start to ridiculous, they they they they start to ridiculous, they they they they start to basically basically basically uh find that they're standing in front uh find that they're standing in front uh find that they're standing in front of the fan where where the [ __ ] is of the fan where where the [ __ ] is of the fan where where the [ __ ] is headed. headed. headed. Uh yeah. That is what they do. We need Uh yeah. That is what they do. We need Uh yeah. That is what they do. We need forward uh we need uh forward deployed forward uh we need uh forward deployed forward uh we need uh forward deployed engineers. I mean think about it for a engineers. I mean think about it for a engineers. I mean think about it for a moment. Uh one of the talk tracks one of moment. Uh one of the talk tracks one of moment. Uh one of the talk tracks one of the talk tracks or key themes that came the talk tracks or key themes that came the talk tracks or key themes that came out of Google um IO.

out of Google um IO. out of Google um IO. Um we need to drive adoption because Um we need to drive adoption because Um we need to drive adoption because people just don't know how to do this people just don't know how to do this people just don't know how to do this stuff and we need domain experts out stuff and we need domain experts out stuff and we need domain experts out there working with companies to figure there working with companies to figure there working with companies to figure out how to use out how to use out how to use AI in the gentic. AI in the gentic. AI in the gentic. Right? But and and that's ironic because Right? But and and that's ironic because Right? But and and that's ironic because the way that it was sold in the the way that it was sold in the the way that it was sold in the beginning is that this was um you know, beginning is that this was um you know, beginning is that this was um you know, we're headed to AGI. we're headed to AGI. we're headed to AGI. What if this thing is so freaking smart, What if this thing is so freaking smart, What if this thing is so freaking smart, why can't it just understand what we why can't it just understand what we why can't it just understand what we want? If it can it can enable intent want? If it can it can enable intent want? If it can it can enable intent driven systems, intent driven driven systems, intent driven driven systems, intent driven everything. How come it can't just work? everything. How come it can't just work? everything. How come it can't just work? And and you know, here's the funny thing And and you know, here's the funny thing And and you know, here's the funny thing is uh when you see what's being is uh when you see what's being is uh when you see what's being presented on stage at uh Google IO, it presented on stage at uh Google IO, it presented on stage at uh Google IO, it freaking looks like magic. I mean, it's freaking looks like magic. I mean, it's freaking looks like magic. I mean, it's freaking amazing, right? You go into the freaking amazing, right? You go into the freaking amazing, right? You go into the sessions sessions sessions and you listen to what what's happening, and you listen to what what's happening, and you listen to what what's happening, man. There's such a huge disconnect. man. There's such a huge disconnect. man. There's such a huge disconnect. These guys are talking about uh freaking These guys are talking about uh freaking These guys are talking about uh freaking oh yeah, we're now trying to figure out oh yeah, we're now trying to figure out oh yeah, we're now trying to figure out how to do uh STLC enablement with a how to do uh STLC enablement with a how to do uh STLC enablement with a gentic frameworks and oh by the way, gentic frameworks and oh by the way, gentic frameworks and oh by the way, when you get to verification and testing when you get to verification and testing when you get to verification and testing uh we won't be able to close the gap.

uh we won't be able to close the gap. uh we won't be able to close the gap. It's probably going to be at about 85% It's probably going to be at about 85% It's probably going to be at about 85% accuracy at some point, but right now accuracy at some point, but right now accuracy at some point, but right now it's like 30. it's like 30. it's like 30. How the [ __ ] are you going to be vibe How the [ __ ] are you going to be vibe How the [ __ ] are you going to be vibe coding with those kind of efficacy coding with those kind of efficacy coding with those kind of efficacy stats? stats? stats? >> Well, Leonard >> Well, Leonard >> Well, Leonard >> it just the >> it just the >> it just the >> He he just he just made this he just >> He he just he just made this he just >> He he just he just made this he just made this an explicit made this an explicit made this an explicit uh uh thing. uh uh thing. uh uh thing. >> That's why you need engineers out >> That's why you need engineers out >> That's why you need engineers out deployed with these uh these companies deployed with these uh these companies deployed with these uh these companies because this you have to engineer all because this you have to engineer all because this you have to engineer all this stuff this stuff this stuff at great cost. It's not included. at great cost. It's not included. at great cost. It's not included. >> Hi guys. Sorry I was late. >> Hi guys. Sorry I was late. >> Hi guys. Sorry I was late. >> Hey. >> Hey. >> Hey. >> So so so Leonard, are you meaning that >> So so so Leonard, are you meaning that >> So so so Leonard, are you meaning that we had this dream of humans augmented by we had this dream of humans augmented by we had this dream of humans augmented by AI, AI, AI, but in fact, what we need is AI but in fact, what we need is AI but in fact, what we need is AI augmented BY HUMANS, RIGHT? >> WHAT? OH MY GOD. >> WHAT? OH MY GOD. >> NO, BUT I MEAN MAYBE that's the way to >> NO, BUT I MEAN MAYBE that's the way to >> NO, BUT I MEAN MAYBE that's the way to solve the investors in AI problem. We solve the investors in AI problem. We solve the investors in AI problem. We just use human to make AI valuable. So just use human to make AI valuable. So just use human to make AI valuable. So then we solve the problem. It's very then we solve the problem. It's very then we solve the problem. It's very simple. We found it. We found it on IoT simple. We found it. We found it on IoT simple. We found it. We found it on IoT Coffee Talk Show, guys.

Coffee Talk Show, guys. Coffee Talk Show, guys. >> [snorts] >> [snorts] >> [snorts] >> The audience, this is the answer to the >> The audience, this is the answer to the >> The audience, this is the answer to the world. world. world. >> It's a tool. It's the It's You think >> It's a tool. It's the It's You think >> It's a tool. It's the It's You think it's your girlfriend. it's your girlfriend. it's your girlfriend. >> [laughter] >> [laughter] >> [laughter] >> Uh >> Uh >> Uh I talked Oh oh We we talked about the We I talked Oh oh We we talked about the We I talked Oh oh We we talked about the We talked about the We talked about the AI talked about the We talked about the AI talked about the We talked about the AI divorce lawyer last week, so I've been divorce lawyer last week, so I've been divorce lawyer last week, so I've been thinking about it. It's very important thinking about it. It's very important thinking about it. It's very important thing. thing. thing. >> Nice. Nice. >> Nice. Nice. >> Nice. Nice. >> I don't like that divorce lawyer. I like >> I don't like that divorce lawyer. I like >> I don't like that divorce lawyer. I like the Alpine divorce, the one where you the Alpine divorce, the one where you the Alpine divorce, the one where you take your spouse and you go on a trek, take your spouse and you go on a trek, take your spouse and you go on a trek, and then over there you just leave them. and then over there you just leave them. and then over there you just leave them. Yeah, you Google that is a thing. But Yeah, you Google that is a thing. But Yeah, you Google that is a thing. But But back to this AI thing. But back to this AI thing. But back to this AI thing. You know, those of us that were doing, You know, those of us that were doing, You know, those of us that were doing, you know, IoT from back in the day, you know, IoT from back in the day, you know, IoT from back in the day, our the pitch really took a while to our the pitch really took a while to our the pitch really took a while to change. It was listen, data acquisition, change. It was listen, data acquisition, change. It was listen, data acquisition, and with data you can make a better and with data you can make a better and with data you can make a better decision. It was It was quite decision. It was It was quite decision. It was It was quite straightforward. Uh because the data was straightforward. Uh because the data was straightforward. Uh because the data was easy to explain. You know, like we're easy to explain. You know, like we're easy to explain. You know, like we're getting to Rob's getting to Rob's getting to Rob's uh vending machines or my water meters. uh vending machines or my water meters. uh vending machines or my water meters. It was like, "Hey man, we got this It was like, "Hey man, we got this It was like, "Hey man, we got this value. This what it means. What do you value. This what it means. What do you value. This what it means. What do you want to do?" The data had context.

want to do?" The data had context. want to do?" The data had context. Because it had context, people would Because it had context, people would Because it had context, people would take actions. take actions. take actions. We have made this jump to AGI and all We have made this jump to AGI and all We have made this jump to AGI and all sorts of nonsense when if you talk to an sorts of nonsense when if you talk to an sorts of nonsense when if you talk to an factory operator today, factory operator today, factory operator today, the bit of their data not having context the bit of their data not having context the bit of their data not having context has not been solved. Like it it just has not been solved. Like it it just has not been solved. Like it it just hasn't. So, when we go into into hasn't. So, when we go into into hasn't. So, when we go into into financial statements and you ask, "Okay, financial statements and you ask, "Okay, financial statements and you ask, "Okay, all these companies with AI, like how all these companies with AI, like how all these companies with AI, like how much money can you attribute to your AI much money can you attribute to your AI much money can you attribute to your AI strategy?" And it's like, "Oh, well, 1 2 strategy?" And it's like, "Oh, well, 1 2 strategy?" And it's like, "Oh, well, 1 2 3 4% because we fired all the engineers 3 4% because we fired all the engineers 3 4% because we fired all the engineers and we deployed them forwardly." and we deployed them forwardly." and we deployed them forwardly." Um dude, it's we're skipping the basics. Um dude, it's we're skipping the basics. Um dude, it's we're skipping the basics. We're not reading we're not reading We're not reading we're not reading We're not reading we're not reading through things and we're just going to through things and we're just going to through things and we're just going to the end without the end without the end without you know, verifying anything. It's nuts, you know, verifying anything. It's nuts, you know, verifying anything. It's nuts, man. man. man. >> Yeah, and you know, and speaking of the >> Yeah, and you know, and speaking of the >> Yeah, and you know, and speaking of the context, you know, with these physical context, you know, with these physical context, you know, with these physical AI without the tactile, without like the AI without the tactile, without like the AI without the tactile, without like the smell, right? Because that was the other smell, right? Because that was the other smell, right? Because that was the other thing, the the fart test.

thing, the the fart test. thing, the the fart test. With all all these things that humans With all all these things that humans With all all these things that humans have and you know, the more I think have and you know, the more I think have and you know, the more I think about it, humans are incredible, right? about it, humans are incredible, right? about it, humans are incredible, right? Even in driving. Even in driving. Even in driving. Uh Uh Uh without all these senses that are without all these senses that are without all these senses that are perfectly fused together in a human perfectly fused together in a human perfectly fused together in a human being, you know, there is no you know, there is no better better better context engine processor than the human context engine processor than the human context engine processor than the human brain, right? The human nervous system, brain, right? The human nervous system, brain, right? The human nervous system, the human sensory system. It's so the human sensory system. It's so the human sensory system. It's so comprehensive. comprehensive. comprehensive. And that is always going to be a huge And that is always going to be a huge And that is always going to be a huge gap if you try to gap if you try to gap if you try to duplicate that duplicate that duplicate that with a digital twin or IoT or blah blah with a digital twin or IoT or blah blah with a digital twin or IoT or blah blah blah, all these different blah, all these different blah, all these different or you know, digital layers, if you or you know, digital layers, if you or you know, digital layers, if you will. It It will. It It will. It It It's just It's just It's just you're always going to have a huge gap you're always going to have a huge gap you're always going to have a huge gap and a huge gap in capability, huge gap and a huge gap in capability, huge gap and a huge gap in capability, huge gap in knowledge, huge gap. And so, that's in knowledge, huge gap. And so, that's in knowledge, huge gap. And so, that's going to that's going to make all the going to that's going to make all the going to that's going to make all the stuff unravel and we're going to see stuff unravel and we're going to see stuff unravel and we're going to see what we saw in IOT where people have to what we saw in IOT where people have to what we saw in IOT where people have to prioritize prioritize prioritize where they invest and where they enable where they invest and where they enable where they invest and where they enable and that dictates what a solution looks and that dictates what a solution looks and that dictates what a solution looks like, a viable solution. Everything else like, a viable solution. Everything else like, a viable solution. Everything else is just is just is just hypothetical [ __ ] that eventually hypothetical [ __ ] that eventually hypothetical [ __ ] that eventually uh dies away as it has, right? And and uh dies away as it has, right? And and uh dies away as it has, right? And and AI is going to be exactly the same AI is going to be exactly the same AI is going to be exactly the same thing. There is no exception. There's thing. There is no exception. There's thing. There is no exception. There's nothing remarkable about remarkable nothing remarkable about remarkable nothing remarkable about remarkable about this technology or exceptional about this technology or exceptional about this technology or exceptional about it in that regard.

about it in that regard. about it in that regard. From what I see. From what I see. From what I see. >> Wow. >> Wow. >> Wow. >> So >> So >> So >> I don't want to just totally bash it. >> I don't want to just totally bash it. >> I don't want to just totally bash it. >> I don't want to totally bash it. >> I don't want to totally bash it. >> I don't want to totally bash it. Picks and shovels. Picks and shovels. Picks and shovels. >> There you go. >> There you go. >> There you go. >> I wouldn't want to totally bash this AI >> I wouldn't want to totally bash this AI >> I wouldn't want to totally bash this AI stuff. It it's it's actually proven to stuff. It it's it's actually proven to stuff. It it's it's actually proven to be super valuable in lots of different be super valuable in lots of different be super valuable in lots of different areas. areas. areas. Uh but it's not always awesome, you Uh but it's not always awesome, you Uh but it's not always awesome, you know. know. know. Obviously for writing code it's amazing, Obviously for writing code it's amazing, Obviously for writing code it's amazing, you know. It's just unparalleled you know. It's just unparalleled you know. It's just unparalleled actually, you know, that it's uh great actually, you know, that it's uh great actually, you know, that it's uh great stuff for sure, you know. And back back stuff for sure, you know. And back back stuff for sure, you know. And back back to the, you know, I want the AI to be to the, you know, I want the AI to be to the, you know, I want the AI to be curing cancer and things like that. You curing cancer and things like that. You curing cancer and things like that. You know, everything that we build needs to know, everything that we build needs to know, everything that we build needs to be for the benefit of humanity. be for the benefit of humanity. be for the benefit of humanity. If it's not for the benefit, if it's not If it's not for the benefit, if it's not If it's not for the benefit, if it's not benefiting people, then forget about it. benefiting people, then forget about it. benefiting people, then forget about it. If it's helping us, empowering us, If it's helping us, empowering us, If it's helping us, empowering us, that's great. If it's taking everybody's that's great. If it's taking everybody's that's great. If it's taking everybody's job and putting them out on the street job and putting them out on the street job and putting them out on the street and destroying families, I'm not a fan. and destroying families, I'm not a fan. and destroying families, I'm not a fan. And And And >> Yeah. >> Yeah. >> Yeah. >> that's all I've been seeing with And I >> that's all I've been seeing with And I >> that's all I've been seeing with And I know we live in a bubble and so all my know we live in a bubble and so all my know we live in a bubble and so all my friends all work for giant tech friends all work for giant tech friends all work for giant tech companies who are laying them all off in companies who are laying them all off in companies who are laying them all off in order to have more cash on hand for data order to have more cash on hand for data order to have more cash on hand for data centers. So I get it. Um centers. So I get it. Um centers. So I get it. Um So David said So David said So David said >> Good good thing that good thing these >> Good good thing that good thing these >> Good good thing that good thing these data centers don't need any fresh water data centers don't need any fresh water data centers don't need any fresh water or anything that we humans really really or anything that we humans really really or anything that we humans really really >> Good thing they don't need that.

>> Good thing they don't need that. >> Good thing they don't need that. >> Yeah. Man. >> Yeah. Man. >> Yeah. Man. >> So David you said something a second ago >> So David you said something a second ago >> So David you said something a second ago about when we remember the the old days, about when we remember the the old days, about when we remember the the old days, the early days of IOT, we would just the early days of IOT, we would just the early days of IOT, we would just talk about simple use cases, simple talk about simple use cases, simple talk about simple use cases, simple It's hard to even call it analytics. It's hard to even call it analytics. It's hard to even call it analytics. >> [laughter] >> [laughter] >> [laughter] >> Just rules engine, a simple algorithm, >> Just rules engine, a simple algorithm, >> Just rules engine, a simple algorithm, and it solved the problem. and it solved the problem. and it solved the problem. >> Yeah. >> Yeah. >> Yeah. >> So, >> So, >> So, I just want to tell you guys there's I just want to tell you guys there's I just want to tell you guys there's something you know I've been working on something you know I've been working on something you know I've been working on for years I've been a lazy writer, but for years I've been a lazy writer, but for years I've been a lazy writer, but I'm finally going to get I'm finally going to get I'm finally going to get this this this I've got a I've got a picture here I've got a I've got a picture here I've got a I've got a picture here that's going to be on the cover of the that's going to be on the cover of the that's going to be on the cover of the book. book. book. >> Okay. >> Okay. >> Okay. >> Oh, wow. >> Oh, wow. >> Oh, wow. >> Ooh. >> Ooh. >> Ooh. >> And >> And >> And >> That looks like >> That looks like >> That looks like >> It's finally It's going to be out It's >> It's finally It's going to be out It's >> It's finally It's going to be out It's going to come out this summer. going to come out this summer. going to come out this summer. Um Um Um I'm I'm planning on having the full I'm I'm planning on having the full I'm I'm planning on having the full end-to-end draft done end-to-end draft done end-to-end draft done kind of the plan is actually over this kind of the plan is actually over this kind of the plan is actually over this long Memorial Day weekend actually. long Memorial Day weekend actually. long Memorial Day weekend actually. Um and so Um and so Um and so it's simple. it's simple. it's simple. I decided not to connect it to some IoT I decided not to connect it to some IoT I decided not to connect it to some IoT platform I created. So, I and it's platform I created. So, I and it's platform I created. So, I and it's generic, you know, and so if you generic, you know, and so if you generic, you know, and so if you remember you have talked about the remember you have talked about the remember you have talked about the sustainable development goals, the ones sustainable development goals, the ones sustainable development goals, the ones that are appropriate. I don't use all of that are appropriate. I don't use all of that are appropriate. I don't use all of them cuz not all of them make sense for them cuz not all of them make sense for them cuz not all of them make sense for IoT. Um but it's a book of use cases IoT. Um but it's a book of use cases IoT. Um but it's a book of use cases for the benefit of people, right? Um for the benefit of people, right? Um for the benefit of people, right? Um across poverty, water, both you know, on across poverty, water, both you know, on across poverty, water, both you know, on land, climate, all this stuff. And it's land, climate, all this stuff. And it's land, climate, all this stuff. And it's use cases. And so it'll probably be It use cases. And so it'll probably be It use cases. And so it'll probably be It could It could be as many as over 100 could It could be as many as over 100 could It could be as many as over 100 different use cases in this book. And

different use cases in this book. And different use cases in this book. And they're all simple. They're all designed they're all simple. They're all designed they're all simple. They're all designed for non-technical people. for non-technical people. for non-technical people. It wouldn't matter what IoT platform It wouldn't matter what IoT platform It wouldn't matter what IoT platform you're using or even if you're just you're using or even if you're just you're using or even if you're just uploading a JSON file to some storage uploading a JSON file to some storage uploading a JSON file to some storage and you figured it out. and you figured it out. and you figured it out. It So, it's like It So, it's like It So, it's like And so kind of I talked about in the And so kind of I talked about in the And so kind of I talked about in the past, you're going to need this kind of past, you're going to need this kind of past, you're going to need this kind of device like a microcontroller, these device like a microcontroller, these device like a microcontroller, these kind of sensors, this kind of kind of sensors, this kind of kind of sensors, this kind of communications. communications. communications. Um I'll talk about it generically. Um I'll talk about it generically. Um I'll talk about it generically. And then in each chapter though I'll And then in each chapter though I'll And then in each chapter though I'll say, here are some possible like if you say, here are some possible like if you say, here are some possible like if you want to go shopping want to go shopping want to go shopping here are some, you know, maybe it's this here are some, you know, maybe it's this here are some, you know, maybe it's this Arduino or this Raspberry Pi Pico or Arduino or this Raspberry Pi Pico or Arduino or this Raspberry Pi Pico or it's this, you know, cellular modem or it's this, you know, cellular modem or it's this, you know, cellular modem or whatever, things like that. I'll have whatever, things like that. I'll have whatever, things like that. I'll have that in there. that in there. that in there. Um I was worried about that cuz Um I was worried about that cuz Um I was worried about that cuz initially I was having a a bomb initially I was having a a bomb initially I was having a a bomb for every use case show showing specific for every use case show showing specific for every use case show showing specific ones to go buy and you guys can tell me ones to go buy and you guys can tell me ones to go buy and you guys can tell me I I I didn't I didn't want to I I I didn't I didn't want to I I I didn't I didn't want to I thought, well, that's helpful. Go do I thought, well, that's helpful. Go do I thought, well, that's helpful. Go do it. Just you know, like like you would it. Just you know, like like you would it. Just you know, like like you would see on Hackster.io and things like that. see on Hackster.io and things like that. see on Hackster.io and things like that. >> [snorts] >> [snorts] >> [snorts] >> But at same time I didn't want to play >> But at same time I didn't want to play >> But at same time I didn't want to play favorites favorites favorites with particular brands or companies that with particular brands or companies that with particular brands or companies that make different technologies. I don't make different technologies. I don't make different technologies. I don't know. Um know. Um know. Um Anyhow, Anyhow, Anyhow, >> I I think you could be prescriptive like >> I I think you could be prescriptive like >> I I think you could be prescriptive like you say look it up like, "Hey, if you you say look it up like, "Hey, if you you say look it up like, "Hey, if you need a microcontroller, Google micro need a microcontroller, Google micro need a microcontroller, Google micro like you know, like just do a search for like you know, like just do a search for like you know, like just do a search for it." Yeah.

it." Yeah. it." Yeah. And And And I want an autograph copy but by Mrs. I want an autograph copy but by Mrs. I want an autograph copy but by Mrs. Tiffany cuz I know she's doing the heavy Tiffany cuz I know she's doing the heavy Tiffany cuz I know she's doing the heavy lifting over there. So I I need an lifting over there. So I I need an lifting over there. So I I need an autograph copy. autograph copy. autograph copy. >> Yes. And then the And so >> Yes. And then the And so >> Yes. And then the And so I don't I don't specify an IoT platform. I don't I don't specify an IoT platform. I don't I don't specify an IoT platform. I just say, "Here's all the stuff you're I just say, "Here's all the stuff you're I just say, "Here's all the stuff you're going to do. Your device is going to going to do. Your device is going to going to do. Your device is going to send this JSON file that looks like this send this JSON file that looks like this send this JSON file that looks like this with all these sensors. Here's how often with all these sensors. Here's how often with all these sensors. Here's how often it's going to send it. And then here's it's going to send it. And then here's it's going to send it. And then here's the dumb stupid the dumb stupid the dumb stupid algorithm rules engine thing that you're algorithm rules engine thing that you're algorithm rules engine thing that you're going to use to you know, like going to use to you know, like going to use to you know, like thresholds and stupid [ __ ] like that thresholds and stupid [ __ ] like that thresholds and stupid [ __ ] like that like you do in factories, you know? like you do in factories, you know? like you do in factories, you know? Um And then the outcome and then the Um And then the outcome and then the Um And then the outcome and then the action you're going to take. You're action you're going to take. You're action you're going to take. You're going to send an SMS going to send an SMS going to send an SMS to somebody on the farm or you're going to somebody on the farm or you're going to somebody on the farm or you're going to show it on a dashboard or whatever. to show it on a dashboard or whatever. to show it on a dashboard or whatever. Anyway, super simple. The real goal Anyway, super simple. The real goal Anyway, super simple. The real goal though is to though is to though is to really show how IoT can make a huge really show how IoT can make a huge really show how IoT can make a huge impact. There's no AI across, you know, impact. There's no AI across, you know, impact. There's no AI across, you know, again, probably it'll be over at least again, probably it'll be over at least again, probably it'll be over at least over 100 different use cases across many over 100 different use cases across many over 100 different use cases across many of the 17 sustainable development goals. of the 17 sustainable development goals. of the 17 sustainable development goals. >> And Rob, from now on do we have to call >> And Rob, from now on do we have to call >> And Rob, from now on do we have to call you Rob Tiffany public author or can we you Rob Tiffany public author or can we you Rob Tiffany public author or can we still call you Rob?

still call you Rob? still call you Rob? >> Just call me Rob. Yes. >> Just call me Rob. Yes. >> Just call me Rob. Yes. >> Okay, fine. >> Okay, fine. >> Okay, fine. >> Yeah. You know, >> Yeah. You know, >> Yeah. You know, but I do want to I do want once I have a but I do want to I do want once I have a but I do want to I do want once I have a draft, I would like to maybe send it to draft, I would like to maybe send it to draft, I would like to maybe send it to you guys if you're interested. you guys if you're interested. you guys if you're interested. >> Yeah. Yes, we >> Yeah. Yes, we >> Yeah. Yes, we >> And then call [ __ ] on things or find >> And then call [ __ ] on things or find >> And then call [ __ ] on things or find problems. So, cuz I You know how it is problems. So, cuz I You know how it is problems. So, cuz I You know how it is when you're writing something, you're in when you're writing something, you're in when you're writing something, you're in the weeds in the forest and you can't the weeds in the forest and you can't the weeds in the forest and you can't see the problems yourself. see the problems yourself. see the problems yourself. And so, it would be great if you And so, it would be great if you And so, it would be great if you >> Yeah, please. We We're going to drop it >> Yeah, please. We We're going to drop it >> Yeah, please. We We're going to drop it into Claude and we're going to help you into Claude and we're going to help you into Claude and we're going to help you with it. with it. with it. >> Oh god. >> Oh god. >> Oh god. >> Yeah. And you know what? I I I used >> Yeah. And you know what? I I I used >> Yeah. And you know what? I I I used Claude a bit to help me when I was Claude a bit to help me when I was Claude a bit to help me when I was trying to find the right trying to find the right trying to find the right >> [snorts] >> [snorts] >> [snorts] >> devices and right cellular and things >> devices and right cellular and things >> devices and right cellular and things like that really on as I was building like that really on as I was building like that really on as I was building the use cases. the use cases. the use cases. I was like, "Hey Claude, I know you're I was like, "Hey Claude, I know you're I was like, "Hey Claude, I know you're going to need this kind of And so, you going to need this kind of And so, you going to need this kind of And so, you know, it would go out and search for me know, it would go out and search for me know, it would go out and search for me and and come up with a bomb list. And and and come up with a bomb list. And and and come up with a bomb list. And so, you know, it was it was helpful for so, you know, it was it was helpful for so, you know, it was it was helpful for that. You know, when I use it like that. You know, when I use it like that. You know, when I use it like search-ish. search-ish. search-ish. >> Yeah. Yeah. >> Yeah. Yeah. >> Yeah. Yeah. I mean, you know, it it it it's it it's I mean, you know, it it it it's it it's I mean, you know, it it it it's it it's a good use case for that. You just a good use case for that. You just a good use case for that. You just again, it just it's not that we're again, it just it's not that we're again, it just it's not that we're I'm not against AI. I'm against I'm not against AI. I'm against I'm not against AI. I'm against irresponsible use of AI.

irresponsible use of AI. irresponsible use of AI. >> Yeah. That's it. >> Yeah. That's it. >> Yeah. That's it. >> And >> And >> And but the problem right now is there's way but the problem right now is there's way but the problem right now is there's way too much of it and I posted on one of my too much of it and I posted on one of my too much of it and I posted on one of my friends um uh friends um uh friends um uh posts uh comment on one of my posts posts uh comment on one of my posts posts uh comment on one of my posts that, you know, the the tricky part, the that, you know, the the tricky part, the that, you know, the the tricky part, the the trickiest questions to get to the trickiest questions to get to the trickiest questions to get to valuable AI is not what it can do. It's valuable AI is not what it can do. It's valuable AI is not what it can do. It's understanding and knowing what it can't understanding and knowing what it can't understanding and knowing what it can't do at any given point in time. We talked do at any given point in time. We talked do at any given point in time. We talked about this, right, Dmitri? Too many about this, right, Dmitri? Too many about this, right, Dmitri? Too many people don't know what it can't do. people don't know what it can't do. people don't know what it can't do. There's a lot of people imagining what There's a lot of people imagining what There's a lot of people imagining what it can do, including the people on every it can do, including the people on every it can do, including the people on every single tech conference stage out there. single tech conference stage out there. single tech conference stage out there. These guys, the talk track they have is These guys, the talk track they have is These guys, the talk track they have is all aspirational Star Wars stuff. all aspirational Star Wars stuff. all aspirational Star Wars stuff. And and this will get If you tune into And and this will get If you tune into And and this will get If you tune into what's being said on stage, you will be what's being said on stage, you will be what's being said on stage, you will be misguided. And And this is the misguided. And And this is the misguided. And And this is the disservice that all these guys are doing disservice that all these guys are doing disservice that all these guys are doing to their customers at some point, right? to their customers at some point, right? to their customers at some point, right? Because then your sales force has to Because then your sales force has to Because then your sales force has to sell something they can't sell sell something they can't sell sell something they can't sell or they sell something or they sell something or they sell something and that project goes to [ __ ] it and that project goes to [ __ ] it and that project goes to [ __ ] it becomes a I mean, come on.

becomes a I mean, come on. becomes a I mean, come on. Yeah. I have seen this stuff before and Yeah. I have seen this stuff before and Yeah. I have seen this stuff before and it pisses me off more than anything in it pisses me off more than anything in it pisses me off more than anything in the world because I've had to clean this the world because I've had to clean this the world because I've had to clean this [ __ ] up [ __ ] up [ __ ] up throughout my throughout my throughout my consulting career and that's why I have consulting career and that's why I have consulting career and that's why I have no tolerance for it, right? no tolerance for it, right? no tolerance for it, right? >> you sell the strategy contract, okay? >> you sell the strategy contract, okay? >> you sell the strategy contract, okay? And you deliver the PowerPoint. Oh, And you deliver the PowerPoint. Oh, And you deliver the PowerPoint. Oh, don't even get me started with that. don't even get me started with that. don't even get me started with that. Hold on, hold on, hold on. Remember, Hold on, hold on, hold on. Remember, Hold on, hold on, hold on. Remember, sell the strategy, your deliverables in sell the strategy, your deliverables in sell the strategy, your deliverables in PowerPoint or PDF, whatever you want and PowerPoint or PDF, whatever you want and PowerPoint or PDF, whatever you want and then when the strategy is absolutely then when the strategy is absolutely then when the strategy is absolutely failing, blame the customer, update the failing, blame the customer, update the failing, blame the customer, update the quote with another 30 million. quote with another 30 million. quote with another 30 million. >> Yeah. Another strategy project. >> Yeah. Another strategy project. >> Yeah. Another strategy project. >> Yes. And then send one of your we're not >> Yes. And then send one of your we're not >> Yes. And then send one of your we're not going to tell you that it's a junior guy going to tell you that it's a junior guy going to tell you that it's a junior guy that just graduated from a school no that just graduated from a school no that just graduated from a school no one's ever heard of, but he's going to one's ever heard of, but he's going to one's ever heard of, but he's going to be a forwardly deployed uh consultant in be a forwardly deployed uh consultant in be a forwardly deployed uh consultant in there there there and by the time the scam is done, that and by the time the scam is done, that and by the time the scam is done, that executive moved on to another thing and executive moved on to another thing and executive moved on to another thing and you just get to do it again. you just get to do it again. you just get to do it again. >> there's nothing worse, nothing worse >> there's nothing worse, nothing worse >> there's nothing worse, nothing worse than to see a sales guy get away with than to see a sales guy get away with than to see a sales guy get away with his bonus and sticks the delivery team his bonus and sticks the delivery team his bonus and sticks the delivery team with all the [ __ ] and then you have to with all the [ __ ] and then you have to with all the [ __ ] and then you have to manage a team that has to ghost their manage a team that has to ghost their manage a team that has to ghost their hours uh because the disaster is hours uh because the disaster is hours uh because the disaster is enormous enormous enormous and that project its profitability goes and that project its profitability goes and that project its profitability goes to the floor. And if you're lucky, you to the floor. And if you're lucky, you to the floor. And if you're lucky, you can salvage it.

can salvage it. can salvage it. This is this is like the reality that This is this is like the reality that This is this is like the reality that people just people just people just generally, especially young people generally, especially young people generally, especially young people they've never experienced they've never experienced they've never experienced or and you have to you have to or and you have to you have to or and you have to you have to experience this because this is life experience this because this is life experience this because this is life with or without AI. You know, this [ __ ] with or without AI. You know, this [ __ ] with or without AI. You know, this [ __ ] happens all the time. happens all the time. happens all the time. >> But beyond you'll be on that and you you >> But beyond you'll be on that and you you >> But beyond you'll be on that and you you guys hear me say that since my my my guys hear me say that since my my my guys hear me say that since my my my personal theory, I think it's a the personal theory, I think it's a the personal theory, I think it's a the reason why we're going to see or we have reason why we're going to see or we have reason why we're going to see or we have a risk of seeing things really bad at a risk of seeing things really bad at a risk of seeing things really bad at scale is because this is the first time scale is because this is the first time scale is because this is the first time where we have a digital technology for where we have a digital technology for where we have a digital technology for which the the inter interface artifact which the the inter interface artifact which the the inter interface artifact is not the technology. You know, when we is not the technology. You know, when we is not the technology. You know, when we started interfacing with technology, we started interfacing with technology, we started interfacing with technology, we had screens, we had command line, you had screens, we had command line, you had screens, we had command line, you were very limited. Now it's a natural were very limited. Now it's a natural were very limited. Now it's a natural language thing. So you can imagine language thing. So you can imagine language thing. So you can imagine whatever you can put behind. You just whatever you can put behind. You just whatever you can put behind. You just put intelligence, language and people put intelligence, language and people put intelligence, language and people say, "Oh, it can do that? I just type a say, "Oh, it can do that? I just type a say, "Oh, it can do that? I just type a prompt." prompt." prompt." So and again, I think that has a So and again, I think that has a So and again, I think that has a profound impact and a profound danger in profound impact and a profound danger in profound impact and a profound danger in how we look at this technology because how we look at this technology because how we look at this technology because you have the illusion that you're you have the illusion that you're you have the illusion that you're talking to somebody and so that person talking to somebody and so that person talking to somebody and so that person has a 135 IQ, that your AGI is 165 IQ, has a 135 IQ, that your AGI is 165 IQ, has a 135 IQ, that your AGI is 165 IQ, yet we've heard. So you imagine yet we've heard. So you imagine yet we've heard. So you imagine everything everything everything without knowing how it works internally, without knowing how it works internally, without knowing how it works internally, what are the limitation, what is the what are the limitation, what is the what are the limitation, what is the context window, what is the memory, what context window, what is the memory, what context window, what is the memory, what is the statistical nature of the thing, is the statistical nature of the thing, is the statistical nature of the thing, blah blah blah. Nobody dig down into blah blah blah. Nobody dig down into blah blah blah. Nobody dig down into that because it talks to you.

that because it talks to you. that because it talks to you. >> That's the crazy thing. Even the >> That's the crazy thing. Even the >> That's the crazy thing. Even the researchers don't know how it works. researchers don't know how it works. researchers don't know how it works. >> No. >> No. >> No. >> I mean, you know, what's his name? >> I mean, you know, what's his name? >> I mean, you know, what's his name? Dennis Dennis Dennis Hassabis. Hassabis. Hassabis. He was like interviewed just 3 weeks He was like interviewed just 3 weeks He was like interviewed just 3 weeks ago. ago. ago. That's what he was telling everybody. That's what he was telling everybody. That's what he was telling everybody. Well, we don't really It would be really Well, we don't really It would be really Well, we don't really It would be really nice if we knew how it works and what we nice if we knew how it works and what we nice if we knew how it works and what we can see inside. And we're looking at the can see inside. And we're looking at the can see inside. And we're looking at the reasoning traces. reasoning traces. reasoning traces. And then we're trying to figure out And then we're trying to figure out And then we're trying to figure out where it departs or where it has, um, where it departs or where it has, um, where it departs or where it has, um, you know, that circular the circular you know, that circular the circular you know, that circular the circular confusion, right? The, um, confusion, right? The, um, confusion, right? The, um, uh, what do you call it? The, uh, what do you call it? The, uh, what do you call it? The, the chain of confusion. the chain of confusion. the chain of confusion. It's real. It's real. It's real. >> Yeah. Oh, yeah. >> Yeah. Oh, yeah. >> Yeah. Oh, yeah. >> It's not [laughter] kind of like ball of >> It's not [laughter] kind of like ball of >> It's not [laughter] kind of like ball of confusion from Love and Rockets. confusion from Love and Rockets. confusion from Love and Rockets. >> Uh, no, this is actually, I think, far >> Uh, no, this is actually, I think, far >> Uh, no, this is actually, I think, far worse if you trust it. But these guys worse if you trust it. But these guys worse if you trust it. But these guys don't even know how it works. Yet we don't even know how it works. Yet we don't even know how it works. Yet we have now have now have now all these sales people out there saying all these sales people out there saying all these sales people out there saying that it's magic. So, that it's magic. So, that it's magic. So, >> They all say it's magic. And as David >> They all say it's magic. And as David >> They all say it's magic. And as David said earlier, he used the word tricky.

said earlier, he used the word tricky. said earlier, he used the word tricky. And it's tricky to rock around rock And it's tricky to rock around rock And it's tricky to rock around rock around right on time. It's tricky. around right on time. It's tricky. around right on time. It's tricky. >> [laughter] >> [laughter] >> [laughter] >> So, just so you know. >> So, just so you know. >> So, just so you know. >> Queens, baby. Queens, Queens, New York. >> Queens, baby. Queens, Queens, New York. >> Queens, baby. Queens, Queens, New York. The house of hip-hop. And we now have The house of hip-hop. And we now have The house of hip-hop. And we now have like like like >> Bye-bye. >> Bye-bye. >> Bye-bye. >> Are you taking off? >> Are you taking off? >> Are you taking off? >> I have to. Sorry. >> I have to. Sorry. >> I have to. Sorry. >> All right. See you. Adios. >> All right. See you. Adios. >> All right. See you. Adios. Yeah, it's nuts, man. Hey, you know, I Yeah, it's nuts, man. Hey, you know, I Yeah, it's nuts, man. Hey, you know, I was like thinking back um was like thinking back um was like thinking back um you know, when you were talking about you know, when you were talking about you know, when you were talking about your book, Rob, and you were talking your book, Rob, and you were talking your book, Rob, and you were talking about platforms, how very early on we about platforms, how very early on we about platforms, how very early on we had you know, I had that debate with had you know, I had that debate with had you know, I had that debate with Rick about it is the platform important Rick about it is the platform important Rick about it is the platform important or is it more of a reference or is it more of a reference or is it more of a reference architecture? Right? Because everyone's architecture? Right? Because everyone's architecture? Right? Because everyone's going to have different bits and pieces. going to have different bits and pieces. going to have different bits and pieces. Nothing's ever going to really in Nothing's ever going to really in Nothing's ever going to really in reality coalesce into a single platform. reality coalesce into a single platform. reality coalesce into a single platform. And you're going to be writing about And you're going to be writing about And you're going to be writing about reference architecture, right? If you're reference architecture, right? If you're reference architecture, right? If you're going to keep it agnostic and you're going to keep it agnostic and you're going to keep it agnostic and you're going to try to inform people what the going to try to inform people what the going to try to inform people what the bits and pieces are. bits and pieces are. bits and pieces are. >> That is reference architecture. >> That is reference architecture. >> That is reference architecture. >> But this is this is more use case this >> But this is this is more use case this >> But this is this is more use case this is more use case centric, right?

is more use case centric, right? is more use case centric, right? >> It is. It is more use case. >> It is. It is more use case. >> It is. It is more use case. >> Yeah, so so it's so it's more kind of a >> Yeah, so so it's so it's more kind of a >> Yeah, so so it's so it's more kind of a dictionary of the potential of the dictionary of the potential of the dictionary of the potential of the technology. So, is the technology. So, is the technology. So, is the is is the is the functionality platform is is the is the functionality platform is is the is the functionality platform is I mean no it's is the applicability is I mean no it's is the applicability is I mean no it's is the applicability platform more than the technology platform more than the technology platform more than the technology platform itself, right? Which is I think platform itself, right? Which is I think platform itself, right? Which is I think what we're missing most of the time what we're missing most of the time what we're missing most of the time because people don't necessarily because people don't necessarily because people don't necessarily >> I want to make sure I'm doing the right >> I want to make sure I'm doing the right >> I want to make sure I'm doing the right thing here. Um thing here. Um thing here. Um I mean I mean I mean I originally had it you're going to use I originally had it you're going to use I originally had it you're going to use this platform and it's going to go into this platform and it's going to go into this platform and it's going to go into this platform and here's the analytics this platform and here's the analytics this platform and here's the analytics and magic's going to happen on this and magic's going to happen on this and magic's going to happen on this platform. And then at some point I was platform. And then at some point I was platform. And then at some point I was like I really need to finish the book. I like I really need to finish the book. I like I really need to finish the book. I the use cases the cuz the book is the use cases the cuz the book is the use cases the cuz the book is actually it is like a handbook though. actually it is like a handbook though. actually it is like a handbook though. You will take it and you will be able to You will take it and you will be able to You will take it and you will be able to take action as a person as an NGO, as a take action as a person as an NGO, as a take action as a person as an NGO, as a whatever. Um whatever. Um whatever. Um >> I see what your strategy now. >> I see what your strategy now. >> I see what your strategy now. >> Yeah, it it it's it's got every step. >> Yeah, it it it's it's got every step. >> Yeah, it it it's it's got every step. I'm going to go take care of this issue I'm going to go take care of this issue I'm going to go take care of this issue of poaching animals in a wildlife, you of poaching animals in a wildlife, you of poaching animals in a wildlife, you know, I'm listening for a shotgun, know, I'm listening for a shotgun, know, I'm listening for a shotgun, whatever it is, you know. And you know, whatever it is, you know. And you know, whatever it is, you know. And you know, I'm listening for a chainsaw cuz people I'm listening for a chainsaw cuz people I'm listening for a chainsaw cuz people are cutting down trees in the Amazon, are cutting down trees in the Amazon, are cutting down trees in the Amazon, whatever it is. It's step-by-step. It's whatever it is. It's step-by-step. It's whatever it is. It's step-by-step. It's a handbook to actually act do the only a handbook to actually act do the only a handbook to actually act do the only part that's left out is part that's left out is part that's left out is I just didn't force you to use a I just didn't force you to use a I just didn't force you to use a particular platform, but I know that particular platform, but I know that particular platform, but I know that every IoT platform will easily be able every IoT platform will easily be able every IoT platform will easily be able to do what this thing is.

to do what this thing is. to do what this thing is. >> It's like a a cookbook. It's like a >> It's like a a cookbook. It's like a >> It's like a a cookbook. It's like a recipe book. There are all these recipes recipe book. There are all these recipes recipe book. There are all these recipes that you're going to recommend for that you're going to recommend for that you're going to recommend for different different different Yeah, treatment. Yeah, treatment. Yeah, treatment. >> That's right. That's right. It is a >> That's right. That's right. It is a >> That's right. That's right. It is a bunch of recipes, you're right. bunch of recipes, you're right. bunch of recipes, you're right. Absolutely. Absolutely. Absolutely. >> But even even like if you go to cooking >> But even even like if you go to cooking >> But even even like if you go to cooking school, they give you a reference school, they give you a reference school, they give you a reference architecture for how to think of architecture for how to think of architecture for how to think of cooking. Right? How to solve I mean, cooking. Right? How to solve I mean, cooking. Right? How to solve I mean, there's like certain basic rules, like there's like certain basic rules, like there's like certain basic rules, like there's certain things that you ideally there's certain things that you ideally there's certain things that you ideally don't want to mix together. don't want to mix together. don't want to mix together. >> Yeah. You know what I'm saying? >> Yeah. You know what I'm saying? >> Yeah. You know what I'm saying? >> I think that you one thing that might be >> I think that you one thing that might be >> I think that you one thing that might be interesting is kind of a applicability interesting is kind of a applicability interesting is kind of a applicability map because I think in the case of IoT map because I think in the case of IoT map because I think in the case of IoT what what I personally perceive and and what what I personally perceive and and what what I personally perceive and and I'm I'm not as deep as you've been in I'm I'm not as deep as you've been in I'm I'm not as deep as you've been in the all your career, Rob, but what I'm the all your career, Rob, but what I'm the all your career, Rob, but what I'm perceiving is that I think there are a perceiving is that I think there are a perceiving is that I think there are a lot of domain where the practitioners in lot of domain where the practitioners in lot of domain where the practitioners in the domain or the people that do this the domain or the people that do this the domain or the people that do this stuff actually don't know that there is stuff actually don't know that there is stuff actually don't know that there is technology that could help them technology that could help them technology that could help them significantly. So, don't imagine a significantly. So, don't imagine a significantly. So, don't imagine a stupid example. stupid example. stupid example. You know, when I need to cool down, I You know, when I need to cool down, I You know, when I need to cool down, I watch Gold Rush. You know, it's one of watch Gold Rush. You know, it's one of watch Gold Rush. You know, it's one of the stupid series. And they have this the stupid series. And they have this the stupid series. And they have this very complicated, expensive very complicated, expensive very complicated, expensive equipment and they generate you know, equipment and they generate you know, equipment and they generate you know, millions of dollars in gold harvesting millions of dollars in gold harvesting millions of dollars in gold harvesting that end up into Nvidia chips, by the that end up into Nvidia chips, by the that end up into Nvidia chips, by the way. But and sometimes you know, they way. But and sometimes you know, they way. But and sometimes you know, they always say that it's dramatized, but always say that it's dramatized, but always say that it's dramatized, but there is always this big machine blowing there is always this big machine blowing there is always this big machine blowing and kind of stuff. And I always wonder, and kind of stuff. And I always wonder, and kind of stuff. And I always wonder, why don't they have a bunch of little why don't they have a bunch of little why don't they have a bunch of little cameras and a guy in a room just cameras and a guy in a room just cameras and a guy in a room just watching that and you know, pushing a watching that and you know, pushing a watching that and you know, pushing a button on the radio when there's a button on the radio when there's a button on the radio when there's a problem. So, I'm pretty sure that problem. So, I'm pretty sure that problem. So, I'm pretty sure that because they they probably don't know because they they probably don't know because they they probably don't know that now you can do that with Raspberry that now you can do that with Raspberry that now you can do that with Raspberry Pi and cameras for 30 bucks a device and Pi and cameras for 30 bucks a device and Pi and cameras for 30 bucks a device and a tiny little mesh network and just a tiny little mesh network and just a tiny little mesh network and just deploy a bunch of these because they deploy a bunch of these because they deploy a bunch of these because they don't need to be hardened. They cost

don't need to be hardened. They cost don't need to be hardened. They cost $30. So, you just put five and anyways, $30. So, you just put five and anyways, $30. So, you just put five and anyways, they only have this gold in it's in the they only have this gold in it's in the they only have this gold in it's in the Yukon. So, it's only in the in the Yukon. So, it's only in the in the Yukon. So, it's only in the in the summer season because in the winter so summer season because in the winter so summer season because in the winter so there's the weather is good. So, there's the weather is good. So, there's the weather is good. So, the point is that there probably a lot the point is that there probably a lot the point is that there probably a lot of our re like that in agriculture where of our re like that in agriculture where of our re like that in agriculture where the guy runs a field and he doesn't know the guy runs a field and he doesn't know the guy runs a field and he doesn't know that there's this tiny little thing that that there's this tiny little thing that that there's this tiny little thing that can happen. can happen. can happen. >> Yeah, that's so true. You know, what's >> Yeah, that's so true. You know, what's >> Yeah, that's so true. You know, what's funny is funny is funny is when I [snorts] showed you know, when I when I [snorts] showed you know, when I when I [snorts] showed you know, when I showed the picture to my wife about this showed the picture to my wife about this showed the picture to my wife about this and she was looking at the way it looks and she was looking at the way it looks and she was looking at the way it looks in the font and she goes, "This looks a in the font and she goes, "This looks a in the font and she goes, "This looks a lot like you know, she's a fifth grade lot like you know, she's a fifth grade lot like you know, she's a fifth grade school teacher. This looks a lot like school teacher. This looks a lot like school teacher. This looks a lot like books that we would give to kids to do I books that we would give to kids to do I books that we would give to kids to do I mean, kind of the hey, let's go." And mean, kind of the hey, let's go." And mean, kind of the hey, let's go." And she was like, "I wonder if you could she was like, "I wonder if you could she was like, "I wonder if you could create a version that's all pictures for create a version that's all pictures for create a version that's all pictures for you know, kids in elementary school or you know, kids in elementary school or you know, kids in elementary school or middle school or things like that." Cuz middle school or things like that." Cuz middle school or things like that." Cuz it's simple. it's simple. it's simple. >> I someone love that and you maybe you >> I someone love that and you maybe you >> I someone love that and you maybe you can license it to code ninja. can license it to code ninja. can license it to code ninja. You know, some of these um You know, some of these um You know, some of these um what are after school education what are after school education what are after school education programs, you know, like my my son he's programs, you know, like my my son he's programs, you know, like my my son he's totally into all this stuff and he totally into all this stuff and he totally into all this stuff and he actually got invited is like weird. They actually got invited is like weird. They actually got invited is like weird. They have a have a have a some sort of show being done by Netflix some sort of show being done by Netflix some sort of show being done by Netflix and he's the youngest kid to be invited and he's the youngest kid to be invited and he's the youngest kid to be invited to this thing and I'm like, how the hell to this thing and I'm like, how the hell to this thing and I'm like, how the hell that happened, right? But he totally that happened, right? But he totally that happened, right? But he totally digs this stuff. And digs this stuff. And digs this stuff. And I don't know. I I've shown you I've I don't know. I I've shown you I've I don't know. I I've shown you I've shown you I think I've shown you or sent shown you I think I've shown you or sent shown you I think I've shown you or sent you pictures of some of the stuff that you pictures of some of the stuff that you pictures of some of the stuff that he's designed when he was like two years he's designed when he was like two years he's designed when he was like two years old. It was like freaking

old. It was like freaking old. It was like freaking freaking job, right? It's gotten freaking job, right? It's gotten freaking job, right? It's gotten freakier. Yeah, kids can totally do this freakier. Yeah, kids can totally do this freakier. Yeah, kids can totally do this stuff. stuff. stuff. I I had an angle. I don't know I will I I had an angle. I don't know I will I I had an angle. I don't know I will follow this angle, this narrative, but follow this angle, this narrative, but follow this angle, this narrative, but you know, the whole thing, the you know, the whole thing, the you know, the whole thing, the sustainable development goals sustainable development goals sustainable development goals and everybody agreed to it in 2015 and and everybody agreed to it in 2015 and and everybody agreed to it in 2015 and we were going to have them all completed we were going to have them all completed we were going to have them all completed by 2030. by 2030. by 2030. You and I, we all know that none of You and I, we all know that none of You and I, we all know that none of that's going to happen that's going to happen that's going to happen at all. It had not even close. And in at all. It had not even close. And in at all. It had not even close. And in fact, fact, fact, you know, what's been most painful for you know, what's been most painful for you know, what's been most painful for me actually me actually me actually there's not many people care about care there's not many people care about care there's not many people care about care about this stuff anymore, I feel. about this stuff anymore, I feel. about this stuff anymore, I feel. But, you know, the the AI, the data all But, you know, the the AI, the data all But, you know, the the AI, the data all the tech companies all abandoned their the tech companies all abandoned their the tech companies all abandoned their sustainable goals, all their net zero sustainable goals, all their net zero sustainable goals, all their net zero commitments. Everybody's just blown it commitments. Everybody's just blown it commitments. Everybody's just blown it off. They're like, off. They're like, off. They're like, "No, we're going after this gold rush of "No, we're going after this gold rush of "No, we're going after this gold rush of AI and I don't really care about saving AI and I don't really care about saving AI and I don't really care about saving the planet." And a lot of people don't the planet." And a lot of people don't the planet." And a lot of people don't even believe it's real anyway and that even believe it's real anyway and that even believe it's real anyway and that it a lot of people don't believe that it a lot of people don't believe that it a lot of people don't believe that anything needs to be saved.

anything needs to be saved. anything needs to be saved. And so, you know, it's kind of And so, you know, it's kind of And so, you know, it's kind of disheartening to me. And so, there was disheartening to me. And so, there was disheartening to me. And so, there was part of me that thinks, part of me that thinks, part of me that thinks, "Well, you know what? It's the adults "Well, you know what? It's the adults "Well, you know what? It's the adults who [ __ ] it all up." who [ __ ] it all up." who [ __ ] it all up." >> Yeah. >> Yeah. >> Yeah. >> And so, maybe this book is for you kids >> And so, maybe this book is for you kids >> And so, maybe this book is for you kids and it's going to have to be you kids and it's going to have to be you kids and it's going to have to be you kids are going to have to save the Earth are going to have to save the Earth are going to have to save the Earth because clearly the adults have not because clearly the adults have not because clearly the adults have not shown shown shown the wherewithal to do what's right cuz the wherewithal to do what's right cuz the wherewithal to do what's right cuz they haven't done it. We're going to get they haven't done it. We're going to get they haven't done it. We're going to get to 2030 like in 15 minutes from now and to 2030 like in 15 minutes from now and to 2030 like in 15 minutes from now and not a single one of those goals is going not a single one of those goals is going not a single one of those goals is going to be accomplished. to be accomplished. to be accomplished. >> Well, that's probably why Mike's Mike >> Well, that's probably why Mike's Mike >> Well, that's probably why Mike's Mike Schmic or Eric Schmic got booed. Arizona commencement the graduation Arizona commencement the graduation commencement speech when he did was commencement speech when he did was commencement speech when he did was doing that. Yeah, I I he would that dude doing that. Yeah, I I he would that dude doing that. Yeah, I I he would that dude is he's lost it. He has no EQ is he's lost it. He has no EQ is he's lost it. He has no EQ whatsoever. Has no whatsoever. Has no whatsoever. Has no >> I saw the I saw another one. A woman was >> I saw the I saw another one. A woman was >> I saw the I saw another one. A woman was uh uh uh the same weekend. She was doing a the same weekend. She was doing a the same weekend. She was doing a commencement at Central Florida and she commencement at Central Florida and she commencement at Central Florida and she started to do AI and they all started started to do AI and they all started started to do AI and they all started booing her and she was so surprised. booing her and she was so surprised. booing her and she was so surprised. Like, "What's going on?" Like, "What's going on?" Like, "What's going on?" Um Um Um Yeah, this younger generations are Yeah, this younger generations are Yeah, this younger generations are pushing back hard pushing back hard pushing back hard >> Yeah.

>> Yeah. >> Yeah. >> on on AI and and its impact on the >> on on AI and and its impact on the >> on on AI and and its impact on the environment. They're disheartened environment. They're disheartened environment. They're disheartened because they're all graduating from because they're all graduating from because they're all graduating from universities and they can't find a job. universities and they can't find a job. universities and they can't find a job. >> Yeah. >> Yeah. >> Yeah. >> I >> I >> I why would we be surprised that they'd be why would we be surprised that they'd be why would we be surprised that they'd be pushing back on it? It's impacting them pushing back on it? It's impacting them pushing back on it? It's impacting them directly negatively. directly negatively. directly negatively. >> Yeah. And then even even the the >> Yeah. And then even even the the >> Yeah. And then even even the the generations generations generations um before them are pissed off because, um before them are pissed off because, um before them are pissed off because, you know, you know, you know, they can't buy a homes. they can't buy a homes. they can't buy a homes. >> Yeah. >> Yeah. >> Yeah. >> They can't uh >> They can't uh >> They can't uh >> Well, the the >> Well, the the >> Well, the the the generation before was impacted by the generation before was impacted by the generation before was impacted by globalization where we outsourced all globalization where we outsourced all globalization where we outsourced all the jobs. the jobs. the jobs. Sorry. And now the new generation and Sorry. And now the new generation and Sorry. And now the new generation and now and now the generation now and now the generation now and now the generation these generation is impacted by us these generation is impacted by us these generation is impacted by us replacing them by machines and by AI. replacing them by machines and by AI. replacing them by machines and by AI. So, I mean, it's So, I mean, it's So, I mean, it's if you think about it, it's it's fuel if you think about it, it's it's fuel if you think about it, it's it's fuel for revolution. So, it's fuel for you for revolution. So, it's fuel for you for revolution. So, it's fuel for you you're going to reach a point which is you're going to reach a point which is you're going to reach a point which is >> Yeah. >> Yeah. >> Yeah. >> Well, you know, the something is not >> Well, you know, the something is not >> Well, you know, the something is not right and um the other thing is when you right and um the other thing is when you right and um the other thing is when you look at the economy, look at the economy, look at the economy, >> [snorts] >> [snorts] >> [snorts] >> uh so, you have like the >> uh so, you have like the >> uh so, you have like the agriculture [clears throat] economy, you agriculture [clears throat] economy, you agriculture [clears throat] economy, you had then had what the industrial had then had what the industrial had then had what the industrial economy, economy, economy, uh information uh information uh information economy, right? Or service economy, economy, right? Or service economy, economy, right? Or service economy, information economy, and I don't know, information economy, and I don't know, information economy, and I don't know, some jokers are calling it AI economy.

some jokers are calling it AI economy. some jokers are calling it AI economy. But what's what comes next? But what's what comes next? But what's what comes next? [ __ ] economy. So, everything that [ __ ] economy. So, everything that [ __ ] economy. So, everything that you're you're you're >> [laughter] >> [laughter] >> [laughter] >> You can be an influencer. >> You can be an influencer. >> You can be an influencer. >> free your economy produces is just a >> free your economy produces is just a >> free your economy produces is just a bunch of nonsense. Uh synthetic bunch of nonsense. Uh synthetic bunch of nonsense. Uh synthetic uh fuel, synthetic uh uh fuel, synthetic uh uh fuel, synthetic uh impressions uh generated by impressions uh generated by impressions uh generated by uh humans as well. You know, humans uh humans as well. You know, humans uh humans as well. You know, humans having relationships, you know, with um having relationships, you know, with um having relationships, you know, with um imaginary AI bots. And then who knows? imaginary AI bots. And then who knows? imaginary AI bots. And then who knows? They might even gin engagement by having They might even gin engagement by having They might even gin engagement by having bots fall in love with each other just bots fall in love with each other just bots fall in love with each other just to create an like a non-player character to create an like a non-player character to create an like a non-player character uh uh uh >> But that's the that's the that's the >> But that's the that's the that's the >> But that's the that's the that's the key. key. key. That's the key down that. We just need That's the key down that. We just need That's the key down that. We just need to find a way to start giving money to to find a way to start giving money to to find a way to start giving money to those bots. those bots. those bots. So then they're going to start spending So then they're going to start spending So then they're going to start spending it between each other to do something it between each other to do something it between each other to do something and maybe we'll be the middleman in the and maybe we'll be the middleman in the and maybe we'll be the middleman in the middle making the money. middle making the money. middle making the money. So maybe that's the idea. So maybe that's the idea. So maybe that's the idea. >> like Malt Book. What are you talking >> like Malt Book. What are you talking >> like Malt Book. What are you talking about? about? about? >> Yeah. >> Yeah. >> Yeah. No.

No. No. >> I'm talking about a gigantic >> I'm talking about a gigantic >> I'm talking about a gigantic >> But but see Think about it. Every We we >> But but see Think about it. Every We we >> But but see Think about it. Every We we Here's the great idea. We we we we we we Here's the great idea. We we we we we we Here's the great idea. We we we we we we we we outsource we we outsource we we outsource economy and money making to all those AI economy and money making to all those AI economy and money making to all those AI agents. Let them do an economy between agents. Let them do an economy between agents. Let them do an economy between each other, generate the cash, and we each other, generate the cash, and we each other, generate the cash, and we just take a tax. Like the upper model. just take a tax. Like the upper model. just take a tax. Like the upper model. We take 30% tax. We take 30% tax. We take 30% tax. >> Well, you know, here's the thing. >> Well, you know, here's the thing. >> Well, you know, here's the thing. >> Hey, it's the creator tax. We created >> Hey, it's the creator tax. We created >> Hey, it's the creator tax. We created you. We give you a data centers to run. you. We give you a data centers to run. you. We give you a data centers to run. You're You're making money doing things. You're You're making money doing things. You're You're making money doing things. And now we're just taking 30% tax and And now we're just taking 30% tax and And now we're just taking 30% tax and you go do your stuff and we just retire. you go do your stuff and we just retire. you go do your stuff and we just retire. You know, here's the solution, people. You know, here's the solution, people. You know, here's the solution, people. Here's the solution, people. Here's the solution, people. Here's the solution, people. >> Here's the ironic thing >> Here's the ironic thing >> Here's the ironic thing >> [clears throat] >> [clears throat] >> [clears throat] >> about the whole Malt Book thing. >> about the whole Malt Book thing. >> about the whole Malt Book thing. Open Claw wasn't the big deal. It was Open Claw wasn't the big deal. It was Open Claw wasn't the big deal. It was Malt Book that was the big deal. Malt Book that was the big deal. Malt Book that was the big deal. Nobody talked about Malt Book anymore. Nobody talked about Malt Book anymore. Nobody talked about Malt Book anymore. They talk about Open Claw. Why? Because They talk about Open Claw. Why? Because They talk about Open Claw. Why? Because you can sandbox stuff in there. You can you can sandbox stuff in there. You can you can sandbox stuff in there. You can go and stick this in your enterprise and go and stick this in your enterprise and go and stick this in your enterprise and be safe. be safe. be safe. >> Yeah.

>> Yeah. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> That's just what I was saying. >> That's just what I was saying. >> That's just what I was saying. >> They completely ignored the thing that >> They completely ignored the thing that >> They completely ignored the thing that was much more important is what was was much more important is what was was much more important is what was happening with Malt Book. happening with Malt Book. happening with Malt Book. And what what can happen with Malt Book And what what can happen with Malt Book And what what can happen with Malt Book in your enterprise? in your enterprise? in your enterprise? >> [laughter] >> [laughter] >> [laughter] >> I mean, it is the height of silliness. >> I mean, it is the height of silliness. >> I mean, it is the height of silliness. You would create a social network for You would create a social network for You would create a social network for agents agents agents to be on and have to be on and have to be on and have >> Oh my god. >> Oh my god. >> Oh my god. >> Oh my god, that's >> Oh my god, that's >> Oh my god, that's >> Now they have like agentic agentic >> Now they have like agentic agentic >> Now they have like agentic agentic commerce, which is all a big deal. So, commerce, which is all a big deal. So, commerce, which is all a big deal. So, now now now >> Maybe >> Maybe >> Maybe Maybe like the agentic like Tinder and Maybe like the agentic like Tinder and Maybe like the agentic like Tinder and agents dating each other and swipe right agents dating each other and swipe right agents dating each other and swipe right or swipe left or something, you know, or swipe left or something, you know, or swipe left or something, you know, why not? It's just It's beyond why not? It's just It's beyond why not? It's just It's beyond silliness. Oh my gosh. silliness. Oh my gosh. silliness. Oh my gosh. >> [laughter] >> [laughter] >> [laughter] >> It's actually It's Imagine Rob. It's >> It's actually It's Imagine Rob. It's >> It's actually It's Imagine Rob. It's It's It's It's kind of the idea of the It's It's It's kind of the idea of the It's It's It's kind of the idea of the matrix but for AI bots. matrix but for AI bots. matrix but for AI bots. >> Yes. >> Yes. >> Yes. >> We don't harvest energy, we harvest >> We don't harvest energy, we harvest >> We don't harvest energy, we harvest money that they do with their money that they do with their money that they do with their interaction in their own virtual world. interaction in their own virtual world. interaction in their own virtual world. This is super We need to build that, This is super We need to build that, This is super We need to build that, Rob. We need to build the infrastructure Rob. We need to build the infrastructure Rob. We need to build the infrastructure for the matrix of the AI bots.

for the matrix of the AI bots. for the matrix of the AI bots. Give them a virtual world where they Give them a virtual world where they Give them a virtual world where they generate crypto money and we just take a generate crypto money and we just take a generate crypto money and we just take a tax on it. tax on it. tax on it. >> Yeah. >> Yeah. >> Yeah. >> [clears throat] >> [clears throat] >> [clears throat] >> But see, you know, that that's where I >> But see, you know, that that's where I >> But see, you know, that that's where I think sovereign currency think sovereign currency think sovereign currency >> Love it. >> Love it. >> Love it. >> ought to become important again because >> ought to become important again because >> ought to become important again because um crypto it supports that model that um crypto it supports that model that um crypto it supports that model that you're talking about, right? When you you're talking about, right? When you you're talking about, right? When you Whenever you hear about these um Whenever you hear about these um Whenever you hear about these um chatbots going bonkers, it just opens up chatbots going bonkers, it just opens up chatbots going bonkers, it just opens up a freaking wallet and then a freaking wallet and then a freaking wallet and then you know, starts you know, starts you know, starts doing whatever, monetizing or doing whatever, monetizing or doing whatever, monetizing or transacting using crypto. transacting using crypto. transacting using crypto. >> Yeah. >> Yeah. >> Yeah. >> But >> But >> But >> Remember how ridiculous Remember how >> Remember how ridiculous Remember how >> Remember how ridiculous Remember how ridiculous we thought it was when the ridiculous we thought it was when the ridiculous we thought it was when the NFTs became a thing? NFTs became a thing? NFTs became a thing? >> Yeah. >> Yeah. >> Yeah. >> And it's >> And it's >> And it's >> And how seriously. >> And how seriously. >> And how seriously. >> But so many people who were like, "We're >> But so many people who were like, "We're >> But so many people who were like, "We're all in. I just paid for this JPEG for all in. I just paid for this JPEG for all in. I just paid for this JPEG for $10 million $10 million $10 million and it's mine. I put it on the and it's mine. I put it on the and it's mine. I put it on the blockchain and it's only going to be blockchain and it's only going to be blockchain and it's only going to be mine." I'm like, "Dude, you're an idiot. mine." I'm like, "Dude, you're an idiot. mine." I'm like, "Dude, you're an idiot. You just bought a JPEG." You just bought a JPEG." You just bought a JPEG." >> [laughter] >> [laughter] >> [laughter] >> Well, [snorts] it's unique.

>> Well, [snorts] it's unique. >> Well, [snorts] it's unique. >> But it's unique. >> But it's unique. >> But it's unique. >> It's mine and it's on the blockchain. >> It's mine and it's on the blockchain. >> It's mine and it's on the blockchain. >> [laughter] >> [laughter] >> [laughter] >> It's amazing how stupid people are and >> It's amazing how stupid people are and >> It's amazing how stupid people are and how they all get hyped up and how they all get hyped up and how they all get hyped up and oh my god, I've been just dumb [ __ ] Oh oh my god, I've been just dumb [ __ ] Oh oh my god, I've been just dumb [ __ ] Oh my god. Yeah, it's crazy. my god. Yeah, it's crazy. my god. Yeah, it's crazy. >> No no filter, that's the problem. People >> No no filter, that's the problem. People >> No no filter, that's the problem. People just don't have filters these days. just don't have filters these days. just don't have filters these days. >> Yeah. Yeah. >> Yeah. Yeah. >> Yeah. Yeah. >> It does get you trouble, and then you >> It does get you trouble, and then you >> It does get you trouble, and then you can't have any of the serious can't have any of the serious can't have any of the serious conversations about how to actually move conversations about how to actually move conversations about how to actually move the ball forward. the ball forward. the ball forward. >> It actually it's it's a shame because >> It actually it's it's a shame because >> It actually it's it's a shame because it's a shame because the NFT technology it's a shame because the NFT technology it's a shame because the NFT technology to me had a very promising aspect. One to me had a very promising aspect. One to me had a very promising aspect. One aspect for instance is that if you pair aspect for instance is that if you pair aspect for instance is that if you pair NFTs to existing physical assets like NFTs to existing physical assets like NFTs to existing physical assets like arts, you can actually build a model arts, you can actually build a model arts, you can actually build a model when whenever the art the art is sold when whenever the art the art is sold when whenever the art the art is sold for one person to the another, there's a for one person to the another, there's a for one person to the another, there's a certain portion that is collected and certain portion that is collected and certain portion that is collected and that goes back to museums or or or or that goes back to museums or or or or that goes back to museums or or or or you could or you could have to your you could or you could have to your you could or you could have to your point of sustainability, whenever point of sustainability, whenever point of sustainability, whenever something is exchanged, there's a something is exchanged, there's a something is exchanged, there's a portion in the smart contract that is portion in the smart contract that is portion in the smart contract that is collected to actually seed because the collected to actually seed because the collected to actually seed because the the problem the reason why nothing is the problem the reason why nothing is the problem the reason why nothing is happening on the old sustainability happening on the old sustainability happening on the old sustainability thing is because it doesn't make any thing is because it doesn't make any thing is because it doesn't make any money. It's just a hard fact.

money. It's just a hard fact. money. It's just a hard fact. So, yeah. So, there was some very So, yeah. So, there was some very So, yeah. So, there was some very potential and that's and that's the potential and that's and that's the potential and that's and that's the saddest part of it is that I think there saddest part of it is that I think there saddest part of it is that I think there was a lot of interesting potential with was a lot of interesting potential with was a lot of interesting potential with the concept of NFT to attach that to the concept of NFT to attach that to the concept of NFT to attach that to physical object, but yeah, we just used physical object, but yeah, we just used physical object, but yeah, we just used the hype. It went up. Some people made the hype. It went up. Some people made the hype. It went up. Some people made money. A lot of idiots lost, and now money. A lot of idiots lost, and now money. A lot of idiots lost, and now it's gone. So. it's gone. So. it's gone. So. >> Yeah. >> Yeah. >> Yeah. >> Some kind of some kind of sad ape or >> Some kind of some kind of sad ape or >> Some kind of some kind of sad ape or something some kind of ape or some deal something some kind of ape or some deal something some kind of ape or some deal with NFTs and I don't know. There with NFTs and I don't know. There with NFTs and I don't know. There >> Yeah. >> Yeah. >> Yeah. >> It it just got ridiculous. And you're >> It it just got ridiculous. And you're >> It it just got ridiculous. And you're right, attaching an NFT to a real piece right, attaching an NFT to a real piece right, attaching an NFT to a real piece of art just like we should have a of art just like we should have a of art just like we should have a digital twin attached to my a Tesla or digital twin attached to my a Tesla or digital twin attached to my a Tesla or whatever a machines, you know, that says whatever a machines, you know, that says whatever a machines, you know, that says this is what the machine is digitally. this is what the machine is digitally. this is what the machine is digitally. Here's the real one. Here's the real one. Here's the real one. >> Yeah, but but the problem >> Yeah, but but the problem >> Yeah, but but the problem the problem is is that you you assign the problem is is that you you assign the problem is is that you you assign you allowed it to become the currency of you allowed it to become the currency of you allowed it to become the currency of of the value of that piece of art rather of the value of that piece of art rather of the value of that piece of art rather than than than >> Yeah, yeah, I agree. That's what you >> Yeah, yeah, I agree. That's what you >> Yeah, yeah, I agree. That's what you >> a be a mechanism for provenance. >> a be a mechanism for provenance. >> a be a mechanism for provenance. And that's a huge different And that's a huge different And that's a huge different >> Oh, yeah, but but this is I mean you the >> Oh, yeah, but but this is I mean you the >> Oh, yeah, but but this is I mean you the whole whole whole >> So, when they hit when they associate >> So, when they hit when they associate >> So, when they hit when they associate the crypto element to it, that's when the crypto element to it, that's when the crypto element to it, that's when everything goes sideways. And then it everything goes sideways. And then it everything goes sideways. And then it becomes like a joke.

becomes like a joke. becomes like a joke. >> And and you know what? We've been >> And and you know what? We've been >> And and you know what? We've been talking about this on IoT Coffee Talk talking about this on IoT Coffee Talk talking about this on IoT Coffee Talk for for for ever. ever. ever. >> But the the root the root was the >> But the the root the root was the >> But the the root the root was the the mother of all those problems. I the mother of all those problems. I the mother of all those problems. I mean, sorry guys, it is in the when we mean, sorry guys, it is in the when we mean, sorry guys, it is in the when we stopped with the gold standard. stopped with the gold standard. stopped with the gold standard. As soon as you stop disconnecting the As soon as you stop disconnecting the As soon as you stop disconnecting the representation the monetary artifact representation the monetary artifact representation the monetary artifact from the physical backup and start from the physical backup and start from the physical backup and start trading it and doing derivative of it, trading it and doing derivative of it, trading it and doing derivative of it, you open the Pandora box and you end up you open the Pandora box and you end up you open the Pandora box and you end up with all the problems. The derivatives with all the problems. The derivatives with all the problems. The derivatives of monetary instruments is the problem. of monetary instruments is the problem. of monetary instruments is the problem. If you want to solve the world, that's If you want to solve the world, that's If you want to solve the world, that's the problem. You you have to regulate so the problem. You you have to regulate so the problem. You you have to regulate so extremely carefully because otherwise extremely carefully because otherwise extremely carefully because otherwise you have derivative of derivative you have derivative of derivative you have derivative of derivative because NFTs are just another derivative because NFTs are just another derivative because NFTs are just another derivative at just another level which is even more at just another level which is even more at just another level which is even more complicated. So complicated. So complicated. So >> And there and there's a proof point to >> And there and there's a proof point to >> And there and there's a proof point to that. There are two countries that that. There are two countries that that. There are two countries that realized that very well. realized that very well. realized that very well. India and China. India and China. India and China. >> Yeah. >> Yeah. >> Yeah. >> They're buying gold like crazy. They >> They're buying gold like crazy. They >> They're buying gold like crazy. They know at end of the day they're going to know at end of the day they're going to know at end of the day they're going to have to do that.

have to do that. have to do that. >> And the only >> And the only >> And the only Yeah, and the only crypto they do is Yeah, and the only crypto they do is Yeah, and the only crypto they do is actually similar to the NFT. It's a actually similar to the NFT. It's a actually similar to the NFT. It's a stable the stable coin stable so so it stable the stable coin stable so so it stable the stable coin stable so so it is they are really reinventing the gold is they are really reinventing the gold is they are really reinventing the gold standard is what [clears throat] is standard is what [clears throat] is standard is what [clears throat] is really and it should be actually at a really and it should be actually at a really and it should be actually at a geopolitical level very concerning geopolitical level very concerning geopolitical level very concerning because if they do that well because if they do that well because if they do that well >> Yeah yeah yeah. No, I mean like what >> Yeah yeah yeah. No, I mean like what >> Yeah yeah yeah. No, I mean like what Yuan's doing, they're going to BRICS and Yuan's doing, they're going to BRICS and Yuan's doing, they're going to BRICS and asking them to basically flex on asking them to basically flex on asking them to basically flex on you know, not using the US dollar you know, not using the US dollar you know, not using the US dollar anymore. anymore. anymore. Right? I mean, these are all things I Right? I mean, these are all things I Right? I mean, these are all things I mean, we've mean, we've mean, we've in [snorts] line with the whole crypto in [snorts] line with the whole crypto in [snorts] line with the whole crypto perspective we've been debating here. perspective we've been debating here. perspective we've been debating here. That is one of the key points that we That is one of the key points that we That is one of the key points that we have. have. have. >> Yeah, but it's it's actually what what >> Yeah, but it's it's actually what what >> Yeah, but it's it's actually what what we see is that it's I would say the we see is that it's I would say the we see is that it's I would say the double worse because if it's replacing double worse because if it's replacing double worse because if it's replacing the US dollar from another currency that the US dollar from another currency that the US dollar from another currency that has the same mechanism with no real has the same mechanism with no real has the same mechanism with no real backup, it is yeah, it is just a power backup, it is yeah, it is just a power backup, it is yeah, it is just a power swift. But if it is replacing the swift. But if it is replacing the swift. But if it is replacing the standard of the dollar by a crypto thing standard of the dollar by a crypto thing standard of the dollar by a crypto thing that is backed up by real things, then that is backed up by real things, then that is backed up by real things, then that's even more and even worse for an that's even more and even worse for an that's even more and even worse for an impact.

impact. impact. >> That is the interesting thing because >> That is the interesting thing because >> That is the interesting thing because we're we're we're that BRICS does not consider crypto that BRICS does not consider crypto that BRICS does not consider crypto a currency. a currency. a currency. >> Exactly. It's it's it's a mechanism >> Exactly. It's it's it's a mechanism >> Exactly. It's it's it's a mechanism it's it's a it's it's a it's it's a it's a mechanism to exchange and follow it's a mechanism to exchange and follow it's a mechanism to exchange and follow the provenance of real value in an the provenance of real value in an the provenance of real value in an extremely immutable way, which is extremely immutable way, which is extremely immutable way, which is the same thing happened to NFT. The the same thing happened to NFT. The the same thing happened to NFT. The concept of cryptocurrencies is a smart concept of cryptocurrencies is a smart concept of cryptocurrencies is a smart and interesting interesting in its and interesting interesting in its and interesting interesting in its immutability and fundamental security, immutability and fundamental security, immutability and fundamental security, but it is to be backed up by something but it is to be backed up by something but it is to be backed up by something because its value you're supposed to because its value you're supposed to because its value you're supposed to collect. If you just put it on the wide collect. If you just put it on the wide collect. If you just put it on the wide as oh no, it's not connected to as oh no, it's not connected to as oh no, it's not connected to anything. Yeah, then it's pure anything. Yeah, then it's pure anything. Yeah, then it's pure speculation and I mean it's it's so speculation and I mean it's it's so speculation and I mean it's it's so obvious. obvious. obvious. >> Aircraft carriers and nukes, right, >> Aircraft carriers and nukes, right, >> Aircraft carriers and nukes, right, Raoul? Raoul? Raoul? >> Yeah, well, yeah, but yeah, but it's >> Yeah, well, yeah, but yeah, but it's >> Yeah, well, yeah, but yeah, but it's yeah, but the yeah, but the problem is yeah, but the yeah, but the problem is yeah, but the yeah, but the problem is though I know nobody will disagree with though I know nobody will disagree with though I know nobody will disagree with that, but the problem is that you're that, but the problem is that you're that, but the problem is that you're then dependent on another system. then dependent on another system. then dependent on another system. You have a system that is dependent on You have a system that is dependent on You have a system that is dependent on another system and that's very tricky. another system and that's very tricky. another system and that's very tricky. It's not dependent on intrinsic value, It's not dependent on intrinsic value, It's not dependent on intrinsic value, it's dependent on the system.

it's dependent on the system. it's dependent on the system. >> Oh, we're we're we're we're we're yeah, >> Oh, we're we're we're we're we're yeah, >> Oh, we're we're we're we're we're yeah, we're all we're all around. we're all we're all around. we're all we're all around. >> Yeah, we're on the we're on the meta >> Yeah, we're on the we're on the meta >> Yeah, we're on the we're on the meta meta meta today. meta meta today. meta meta today. >> You're so right about that. >> You're so right about that. >> You're so right about that. >> Ah, my God. >> Ah, my God. >> Ah, my God. >> Cool, guys. >> Cool, guys. >> Cool, guys. >> Yeah, [snorts] it was fun. >> Yeah, [snorts] it was fun. >> Yeah, [snorts] it was fun. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> Let's wrap it up. [laughter] >> Let's wrap it up. [laughter] >> Let's wrap it up. [laughter] So, remember So, remember So, remember and get seriously at your own risk. and get seriously at your own risk. and get seriously at your own risk. We're just decompressing. I don't even We're just decompressing. I don't even We're just decompressing. I don't even know if we're having fun anymore. know if we're having fun anymore. know if we're having fun anymore. >> [laughter] >> [laughter] >> [laughter] >> I always have fun. >> I always have fun. >> I always have fun. My My My my my attitude now is it has I have to my my attitude now is it has I have to my my attitude now is it has I have to take it the fun way, otherwise otherwise take it the fun way, otherwise otherwise take it the fun way, otherwise otherwise it's it's too depressing. It's a it's it's too depressing. It's a it's it's too depressing. It's a it's a comedy, it's a musical and it's a comedy, it's a musical and it's a comedy, it's a musical and and we we as we said in France, we're in and we we as we said in France, we're in and we we as we said in France, we're in front of a big cliff. We're very very front of a big cliff. We're very very front of a big cliff. We're very very happy and we're just about to make a big happy and we're just about to make a big happy and we're just about to make a big step ahead. step ahead. step ahead. >> Yeah, and you know, and wrapping up >> Yeah, and you know, and wrapping up >> Yeah, and you know, and wrapping up here, I think the key takeaway for here, I think the key takeaway for here, I think the key takeaway for everyone is that if your vendor shows up everyone is that if your vendor shows up everyone is that if your vendor shows up or your solutions provider shows up and or your solutions provider shows up and or your solutions provider shows up and says they need to deploy forward says they need to deploy forward says they need to deploy forward deployed engineers, deployed engineers, deployed engineers, that is a red flag and you should that is a red flag and you should that is a red flag and you should probably run away at that point because probably run away at that point because probably run away at that point because your vendor has no idea what they're your vendor has no idea what they're your vendor has no idea what they're doing and they realize they need to get doing and they realize they need to get doing and they realize they need to get a an AI scientist of some kind uh a an AI scientist of some kind uh a an AI scientist of some kind uh on-site with you to conduct their on-site with you to conduct their on-site with you to conduct their experiment on your business. So, experiment on your business. So, experiment on your business. So, remember that.

remember that. remember that. Forward deployed engineers. Forward deployed engineers. Forward deployed engineers. Yes, they are just Yes, they are just Yes, they are just They're not even consultants at that They're not even consultants at that They're not even consultants at that point. They're exper- They're going to point. They're exper- They're going to point. They're exper- They're going to OJT OJT OJT on the experiment they're going to do on on the experiment they're going to do on on the experiment they're going to do on your business. So, remember that. your business. So, remember that. your business. So, remember that. >> There you go. >> There you go. >> There you go. >> If they say they're a consultant, that's >> If they say they're a consultant, that's >> If they say they're a consultant, that's better because a consultant ideally has better because a consultant ideally has better because a consultant ideally has experience and they can help you. experience and they can help you. experience and they can help you. >> You at least you know what you're >> You at least you know what you're >> You at least you know what you're getting with a consultant. I'm here to getting with a consultant. I'm here to getting with a consultant. I'm here to extract money from you extract money from you extract money from you in exchange for PowerPoint. in exchange for PowerPoint. in exchange for PowerPoint. >> Yes. >> Yes. >> Yes. >> And those PowerPoints are the origin of >> And those PowerPoints are the origin of >> And those PowerPoints are the origin of it by cloud now they all generated by it by cloud now they all generated by it by cloud now they all generated by cloud. cloud. cloud. >> Yes. >> Yes. >> Yes. >> Remember incre- increase revenue, >> Remember incre- increase revenue, >> Remember incre- increase revenue, decrease cost. Remember, increase decrease cost. Remember, increase decrease cost. Remember, increase revenue, decrease cost. revenue, decrease cost. revenue, decrease cost. >> Right. Right. >> Right. Right. >> Right. Right. >> Yeah, and so if you made it this far, >> Yeah, and so if you made it this far, >> Yeah, and so if you made it this far, that's awesome. The other thing you have that's awesome. The other thing you have that's awesome. The other thing you have to know is that Rob is writing a book, to know is that Rob is writing a book, to know is that Rob is writing a book, really wonderful book with apparently a really wonderful book with apparently a really wonderful book with apparently a fifth grader level book cover graphic on fifth grader level book cover graphic on fifth grader level book cover graphic on it. it. it. But he is going to create a But he is going to create a But he is going to create a comprehensive cookbook of IoT solutions comprehensive cookbook of IoT solutions comprehensive cookbook of IoT solutions to help address the thing that nobody to help address the thing that nobody to help address the thing that nobody cares about now.

cares about now. cares about now. >> Nobody cares. >> Nobody cares. >> Nobody cares. >> Which is sustainability and and uh SD >> Which is sustainability and and uh SD >> Which is sustainability and and uh SD >> [laughter] >> [laughter] >> [laughter] >> What is it? The SD the sustainable >> What is it? The SD the sustainable >> What is it? The SD the sustainable >> Sustainable development goals. >> Sustainable development goals. >> Sustainable development goals. >> development goals. Yes, that nobody >> development goals. Yes, that nobody >> development goals. Yes, that nobody cares about. But, eventually, probably cares about. But, eventually, probably cares about. But, eventually, probably this year because we're going to have a this year because we're going to have a this year because we're going to have a you know, a super duper El Nino that's you know, a super duper El Nino that's you know, a super duper El Nino that's going to fry the planet or inundate the going to fry the planet or inundate the going to fry the planet or inundate the planet. You will probably give a crap by planet. You will probably give a crap by planet. You will probably give a crap by the end of this year. Or or you know, the end of this year. Or or you know, the end of this year. Or or you know, starting in July, I think is when they starting in July, I think is when they starting in July, I think is when they predict the super El Nino. predict the super El Nino. predict the super El Nino. >> Super El Nino. >> Super El Nino. >> Super El Nino. >> yeah, remember um IoT and technology can >> yeah, remember um IoT and technology can >> yeah, remember um IoT and technology can be used with proper purpose, be used with proper purpose, be used with proper purpose, right? right? right? >> Yeah. >> Yeah. >> Yeah. >> Can help save the planet and your home. >> Can help save the planet and your home. >> Can help save the planet and your home. >> There you go. >> There you go. >> There you go. >> And keep your family safe. And so, this >> And keep your family safe. And so, this >> And keep your family safe. And so, this is why we is why we is why we are established Elevate Our Communities. are established Elevate Our Communities. are established Elevate Our Communities. So, check it out. Um I think we're So, check it out. Um I think we're So, check it out. Um I think we're almost ready to go, right? Now with all almost ready to go, right? Now with all almost ready to go, right? Now with all of what Stephanie Atkinson did to of what Stephanie Atkinson did to of what Stephanie Atkinson did to uh did that whole uh did that whole uh did that whole uh whole uh project um revamped in a uh whole uh project um revamped in a uh whole uh project um revamped in a non-profit. And um that Those are the non-profit. And um that Those are the non-profit. And um that Those are the things Hey, maybe your book can be the things Hey, maybe your book can be the things Hey, maybe your book can be the basis for everything that basis for everything that basis for everything that >> Yeah, a cookbook would be helpful for >> Yeah, a cookbook would be helpful for >> Yeah, a cookbook would be helpful for what we're trying to do. It's a good what we're trying to do. It's a good what we're trying to do. It's a good idea.

idea. idea. >> Yeah. >> Yeah. >> Yeah. So, and remember to uh follow us here at So, and remember to uh follow us here at So, and remember to uh follow us here at IoT Coffee Talk. Like, share, and IoT Coffee Talk. Like, share, and IoT Coffee Talk. Like, share, and um comment, you know? Tell us what you um comment, you know? Tell us what you um comment, you know? Tell us what you think. And if you want to vent, think. And if you want to vent, think. And if you want to vent, vent, just say all kinds of stuff in the vent, just say all kinds of stuff in the vent, just say all kinds of stuff in the comment section. We'll love it and we'll comment section. We'll love it and we'll comment section. We'll love it and we'll respond and we'll talk trash with you as respond and we'll talk trash with you as respond and we'll talk trash with you as well. So, well. So, well. So, um but uh thank you for watching and um but uh thank you for watching and um but uh thank you for watching and we'll see you next week. we'll see you next week. we'll see you next week. >> See you next week. >> See you next week. >> See you next week. >> [music]