IoT Coffee Talk: Episode 290 - "Probabilistic Determinism" (Get your neuro-symbolic AI on!)

[Music] [Music] I got lost at the end. I got lost at the end. I got lost at the end. >> Yes. Rock and roll. >> Yes. Rock and roll. >> Yes. Rock and roll. >> Yes. >> Yes. >> Yes. >> You got the spirit. You got the spirit >> You got the spirit. You got the spirit >> You got the spirit. You got the spirit in there. in there. in there. >> Yeah. Yeah. >> Yeah. Yeah. >> Yeah. Yeah. You know, it doesn't always go well as You know, it doesn't always go well as You know, it doesn't always go well as everyone knows on everyone knows on everyone knows on >> IoT coffee talk. >> IoT coffee talk. >> IoT coffee talk. >> It's authentic. It's authentic. You >> It's authentic. It's authentic. You >> It's authentic. It's authentic. You know, know, know, >> it is. >> it is. >> it is. >> Yeah. And this thing is bright as hell. >> Yeah. And this thing is bright as hell. >> Yeah. And this thing is bright as hell. >> In this age of AI generated music, it's >> In this age of AI generated music, it's >> In this age of AI generated music, it's good to hear authentic human played good to hear authentic human played good to hear authentic human played music. music. music. >> You know, human generated slop. >> You know, human generated slop. >> You know, human generated slop. >> Human generated slop as opposed to AI >> Human generated slop as opposed to AI >> Human generated slop as opposed to AI generated generated generated >> all day over AI generated anything. You >> all day over AI generated anything. You >> all day over AI generated anything. You know, there's a lot of people that are know, there's a lot of people that are know, there's a lot of people that are using it now like especially Sora and uh using it now like especially Sora and uh using it now like especially Sora and uh now that Google has released or Alphabet now that Google has released or Alphabet now that Google has released or Alphabet >> released what is it? Nana banana banana >> released what is it? Nana banana banana >> released what is it? Nana banana banana >> nana banana nana banana nano banana. >> nana banana nana banana nano banana. >> nana banana nana banana nano banana. >> It's hard to even product name ever. >> It's hard to even product name ever. >> It's hard to even product name ever. >> It's hard to keep up with all of them >> It's hard to keep up with all of them >> It's hard to keep up with all of them now because I mean everyone's kind of now because I mean everyone's kind of now because I mean everyone's kind of picking and choosing their top tier or picking and choosing their top tier or picking and choosing their top tier or three and they're using them.

three and they're using them. three and they're using them. >> Yeah. >> Yeah. >> Yeah. >> Yeah. Yeah. And then you know um I don't >> Yeah. Yeah. And then you know um I don't >> Yeah. Yeah. And then you know um I don't know know know >> I think >> I think >> I think >> at the moment maybe you know this will >> at the moment maybe you know this will >> at the moment maybe you know this will probably change in the future but it has probably change in the future but it has probably change in the future but it has this whole uh subliminal brand of this whole uh subliminal brand of this whole uh subliminal brand of and impression of fake. I think you and impression of fake. I think you and impression of fake. I think you immediately immediately immediately think Jake and then I personally think Jake and then I personally think Jake and then I personally >> yeah I think it's a for me it's a >> yeah I think it's a for me it's a >> yeah I think it's a for me it's a turnoff um just because you wonder turnoff um just because you wonder turnoff um just because you wonder whether or not you can trust it and whether or not you can trust it and whether or not you can trust it and whether or not like even if it's whether or not like even if it's whether or not like even if it's something of you know produced around a something of you know produced around a something of you know produced around a a um person that you know you don't know a um person that you know you don't know a um person that you know you don't know whether or not it's a deep fake you know whether or not it's a deep fake you know whether or not it's a deep fake you know and um yeah and um yeah and um yeah >> things are getting >> things are getting >> things are getting really good. So, what do you really good. So, what do you really good. So, what do you >> you almost have to assume it is. Um >> you almost have to assume it is. Um >> you almost have to assume it is. Um there's all these videos on Instagram there's all these videos on Instagram there's all these videos on Instagram now about people picking up packages and now about people picking up packages and now about people picking up packages and then blowing up with the colors and then blowing up with the colors and then blowing up with the colors and stuff. You know, the the porch pirate stuff. You know, the the porch pirate stuff. You know, the the porch pirate things and those are all AI generated things and those are all AI generated things and those are all AI generated things.

things. things. >> There's a lot of AI generated. It's it's >> There's a lot of AI generated. It's it's >> There's a lot of AI generated. It's it's great advertising marketing meaning great advertising marketing meaning great advertising marketing meaning because they do something really just because they do something really just because they do something really just out of control, outrageous, and then out of control, outrageous, and then out of control, outrageous, and then it's clickbait for some crappy who it's clickbait for some crappy who it's clickbait for some crappy who knows, right? The clickbait is rage bait knows, right? The clickbait is rage bait knows, right? The clickbait is rage bait is everywhere with is everywhere with is everywhere with >> rage bait. >> rage bait. >> rage bait. >> Rage bait word of the year. >> Rage bait word of the year. >> Rage bait word of the year. >> Wow, I like that. >> Wow, I like that. >> Wow, I like that. >> Yeah, that's >> Yeah, that's >> Yeah, that's >> and advertising like just clickbait to >> and advertising like just clickbait to >> and advertising like just clickbait to get you into the middle of a website get you into the middle of a website get you into the middle of a website that has a million popups and who knows that has a million popups and who knows that has a million popups and who knows what they're collecting on you. what they're collecting on you. what they're collecting on you. >> Yeah, >> Yeah, >> Yeah, >> that to me is happening like cra. It >> that to me is happening like cra. It >> that to me is happening like cra. It seems like seems like seems like >> here for prizes. >> here for prizes. >> here for prizes. >> Tik Tok and Instagram. It's everywhere. >> Tik Tok and Instagram. It's everywhere. >> Tik Tok and Instagram. It's everywhere. Remember it used to be Publishers Remember it used to be Publishers Remember it used to be Publishers Clearing House used to have to take Clearing House used to have to take Clearing House used to have to take those stamps and stick them on there and those stamps and stick them on there and those stamps and stick them on there and mail it in. Now it's like just mail it in. Now it's like just mail it in. Now it's like just >> we all did it. We thought we were going >> we all did it. We thought we were going >> we all did it. We thought we were going to win something. to win something. to win something. >> Yeah, sure. Actually, you know, funny >> Yeah, sure. Actually, you know, funny >> Yeah, sure. Actually, you know, funny story, my mother-in-law actually won story, my mother-in-law actually won story, my mother-in-law actually won Publishers Clearing House. I think Publishers Clearing House. I think Publishers Clearing House. I think that's what that story was. that's what that story was. that's what that story was. >> Yeah. She won like 40,000 or 60,000 >> Yeah. She won like 40,000 or 60,000 >> Yeah. She won like 40,000 or 60,000 bucks or something. And bucks or something. And bucks or something. And >> awesome.

>> awesome. >> awesome. >> My wife and I were convinced it was a >> My wife and I were convinced it was a >> My wife and I were convinced it was a total scam and we're like, "You're being total scam and we're like, "You're being total scam and we're like, "You're being scammed. You're being scammed." And scammed. You're being scammed." And scammed. You're being scammed." And she's like, "Oh." And then they wrote she's like, "Oh." And then they wrote she's like, "Oh." And then they wrote her a check and it worked. I know anyone her a check and it worked. I know anyone her a check and it worked. I know anyone that has won that. It's like what? that has won that. It's like what? that has won that. It's like what? >> Yeah. >> Yeah. >> Yeah. >> There is hope out there. >> There is hope out there. >> There is hope out there. >> Yeah. Yeah. So, >> Yeah. Yeah. So, >> Yeah. Yeah. So, >> fill out your publishers clearing house >> fill out your publishers clearing house >> fill out your publishers clearing house when it comes to when it comes to when it comes to >> I was tic ticked off because I've always >> I was tic ticked off because I've always >> I was tic ticked off because I've always like when the the mega cash or whatever like when the the mega cash or whatever like when the the mega cash or whatever and in Texas, I forgot what they call and in Texas, I forgot what they call and in Texas, I forgot what they call it. when it gets really high, like in it. when it gets really high, like in it. when it gets really high, like in the hundreds, like I will actually just the hundreds, like I will actually just the hundreds, like I will actually just go online through the little app and buy go online through the little app and buy go online through the little app and buy stuff. And I mean, I don't spend maybe stuff. And I mean, I don't spend maybe stuff. And I mean, I don't spend maybe $5 a year, so it's really nothing. But I $5 a year, so it's really nothing. But I $5 a year, so it's really nothing. But I guess the state of Texas has now stopped guess the state of Texas has now stopped guess the state of Texas has now stopped that. You cannot no longer do it through that. You cannot no longer do it through that. You cannot no longer do it through an app. I think they had massive fraud an app. I think they had massive fraud an app. I think they had massive fraud >> because they these folks were creating >> because they these folks were creating >> because they these folks were creating these AI tools, software to go out and these AI tools, software to go out and these AI tools, software to go out and buy all of them, buy all the buy all of them, buy all the buy all of them, buy all the combinations, and they were winning. combinations, and they were winning. combinations, and they were winning. >> I see. But isn't the deal like when you >> I see. But isn't the deal like when you >> I see. But isn't the deal like when you buy a lottery ticket from a local buy a lottery ticket from a local buy a lottery ticket from a local whatever and if you win they get a piece whatever and if you win they get a piece whatever and if you win they get a piece of the action I think.

of the action I think. of the action I think. >> That's right. They get a >> That's right. They get a >> That's right. They get a >> it's nice to buy it from your local >> it's nice to buy it from your local >> it's nice to buy it from your local whatever. whatever. whatever. >> Yeah. >> Yeah. >> Yeah. >> And it's always some you know >> And it's always some you know >> And it's always some you know convenience store in the middle of convenience store in the middle of convenience store in the middle of nowhere that went nowhere that went nowhere that went >> That's right. >> That's right. >> That's right. >> You knowion power massive one that was >> You knowion power massive one that was >> You knowion power massive one that was in the mega millions that was one. It in the mega millions that was one. It in the mega millions that was one. It was um a store in Fricksburg. was um a store in Fricksburg. was um a store in Fricksburg. >> Wow. >> Wow. >> Wow. >> Oh wow. >> Oh wow. >> Oh wow. >> Gas station like hole in the wall. >> Gas station like hole in the wall. >> Gas station like hole in the wall. >> Yeah. Yeah. Yeah. That's the key. Find >> Yeah. Yeah. Yeah. That's the key. Find >> Yeah. Yeah. Yeah. That's the key. Find hole-in-the-wall gas. hole-in-the-wall gas. hole-in-the-wall gas. >> Go buy yours from the small mom and >> Go buy yours from the small mom and >> Go buy yours from the small mom and pops. pops. pops. >> That's the secret. Yeah. >> That's the secret. Yeah. >> That's the secret. Yeah. >> Mom and pops. >> Mom and pops. >> Mom and pops. >> Can I tell you guys what has happened to >> Can I tell you guys what has happened to >> Can I tell you guys what has happened to me over the last 24 hours? me over the last 24 hours? me over the last 24 hours? >> Yes. >> Yes. >> Yes. >> Well, Rob, you've seen some of it on >> Well, Rob, you've seen some of it on >> Well, Rob, you've seen some of it on Facebook. Facebook. Facebook. >> No. >> No. >> No. >> Oh, and I have an idea for the robotics >> Oh, and I have an idea for the robotics >> Oh, and I have an idea for the robotics industry. So they if they're listening, industry. So they if they're listening, industry. So they if they're listening, we could really use you in waste we could really use you in waste we could really use you in waste management, biohazard, bio cleanup. management, biohazard, bio cleanup. management, biohazard, bio cleanup. >> We um drive into the ranch and it's like >> We um drive into the ranch and it's like >> We um drive into the ranch and it's like dusk, so it was getting dark really dusk, so it was getting dark really dusk, so it was getting dark really quickly and there is pieces of toilet quickly and there is pieces of toilet quickly and there is pieces of toilet paper. We I live on a state highway, so paper. We I live on a state highway, so paper. We I live on a state highway, so pieces of toilet paper, used pieces of pieces of toilet paper, used pieces of pieces of toilet paper, used pieces of toilet paper, human waste all over the toilet paper, human waste all over the toilet paper, human waste all over the front entrance of our ranch. Oh no. Why?

front entrance of our ranch. Oh no. Why? front entrance of our ranch. Oh no. Why? >> Well, guess what? Bandera, Texas dot >> Well, guess what? Bandera, Texas dot >> Well, guess what? Bandera, Texas dot county, you know, it's not it's a state county, you know, it's not it's a state county, you know, it's not it's a state highway. So, Tex Dot is responsible. highway. So, Tex Dot is responsible. highway. So, Tex Dot is responsible. Texas Department of Transportation. Texas Department of Transportation. Texas Department of Transportation. They're closed on Fridays. They're closed on Fridays. They're closed on Fridays. >> Of course, >> Of course, >> Of course, >> it's a bioh like it's I am like I'm so >> it's a bioh like it's I am like I'm so >> it's a bioh like it's I am like I'm so like disgusted. I'm like, we need our like disgusted. I'm like, we need our like disgusted. I'm like, we need our robotics industry to come out here and robotics industry to come out here and robotics industry to come out here and clean this up. They dispatch them, use clean this up. They dispatch them, use clean this up. They dispatch them, use the autonomous vehicles, come clean up the autonomous vehicles, come clean up the autonomous vehicles, come clean up the crap. the crap. the crap. >> Yeah. Yeah. Yeah. Yeah. Yeah. >> Not only that, >> Not only that, >> Not only that, >> that's that was the first story. The >> that's that was the first story. The >> that's that was the first story. The second story was second story was second story was >> um Demetri still got a little echo. >> um Demetri still got a little echo. >> um Demetri still got a little echo. >> Second story was our gate was >> Second story was our gate was >> Second story was our gate was accidentally left open and we have not accidentally left open and we have not accidentally left open and we have not figured out who did it. But two analopee figured out who did it. But two analopee figured out who did it. But two analopee >> were on the highway. >> were on the highway. >> were on the highway. >> Oh no. Oh no. >> Oh no. Oh no. >> Oh no. Oh no. >> And so we don't have trackers on them. >> And so we don't have trackers on them. >> And so we don't have trackers on them. And those have tags tags on them. And those have tags tags on them. And those have tags tags on them. They're like $10,000 animals.

They're like $10,000 animals. They're like $10,000 animals. >> You know who you need to call, don't >> You know who you need to call, don't >> You know who you need to call, don't you? you? you? >> Oh my gosh. >> Oh my gosh. >> Oh my gosh. >> You need to call our friend Jimmy >> You need to call our friend Jimmy >> You need to call our friend Jimmy Chapman in San Antonio with ranch sense. Chapman in San Antonio with ranch sense. Chapman in San Antonio with ranch sense. >> Oh my sense. >> Oh my sense. >> Oh my sense. >> My husband works with him already. >> My husband works with him already. >> My husband works with him already. >> Yeah, cuz you're right. He moved on from >> Yeah, cuz you're right. He moved on from >> Yeah, cuz you're right. He moved on from just doing water troughs for livestock just doing water troughs for livestock just doing water troughs for livestock to now open and closed gates. to now open and closed gates. to now open and closed gates. >> Yep. >> Yep. >> Yep. >> On your ranch. >> On your ranch. >> On your ranch. >> Yeah. >> Yeah. >> Yeah. Well, we Well, the reason why we have Well, we Well, the reason why we have Well, we Well, the reason why we have like gate issues is because we did have like gate issues is because we did have like gate issues is because we did have a horrible storm come through and we had a horrible storm come through and we had a horrible storm come through and we had one of those automatic gates that has an one of those automatic gates that has an one of those automatic gates that has an arm on it that opens, arm on it that opens, arm on it that opens, >> electric gates, and um the wind pulled >> electric gates, and um the wind pulled >> electric gates, and um the wind pulled the weld off and it just broke, you the weld off and it just broke, you the weld off and it just broke, you know. So, we had real high like know. So, we had real high like know. So, we had real high like >> 40 mile per hour wind. So, we just have >> 40 mile per hour wind. So, we just have >> 40 mile per hour wind. So, we just have had a little bit of um had a little bit of um had a little bit of um >> Wow. >> Wow. >> Wow. >> an issue on ranch lately. >> an issue on ranch lately. >> an issue on ranch lately. >> That's serious stuff. So, and I'm like, >> That's serious stuff. So, and I'm like, >> That's serious stuff. So, and I'm like, of course, all of this happens when my of course, all of this happens when my of course, all of this happens when my husband is out of town. So, husband is out of town. So, husband is out of town. So, >> ranch wife has to kick in. >> ranch wife has to kick in. >> ranch wife has to kick in. >> I'm driving around counting animals, >> I'm driving around counting animals, >> I'm driving around counting animals, trying to figure out where like it's a trying to figure out where like it's a trying to figure out where like it's a home mess.

home mess. home mess. >> You know what? Your your ranch is a >> You know what? Your your ranch is a >> You know what? Your your ranch is a perfect perfect perfect use case for genot. use case for genot. use case for genot. You know that? You know that? You know that? >> That's not a term. >> That's not a term. >> That's not a term. >> A I apparently it is. We're going to be >> A I apparently it is. We're going to be >> A I apparently it is. We're going to be on a podcast. on a podcast. on a podcast. We're going to be on IoT We're going to be on IoT We're going to be on IoT communities IoT Slam next week to talk communities IoT Slam next week to talk communities IoT Slam next week to talk about it. So, about it. So, about it. So, >> yes. And those guys, >> yes. And those guys, >> yes. And those guys, >> those guys at IoT Slam, they're just >> those guys at IoT Slam, they're just >> those guys at IoT Slam, they're just trying anything to keep the hype machine trying anything to keep the hype machine trying anything to keep the hype machine going. And so, and so they were the ones going. And so, and so they were the ones going. And so, and so they were the ones who jumped on the AIoT bandwagon and who jumped on the AIoT bandwagon and who jumped on the AIoT bandwagon and then next last year, Gen AoT. And I'm then next last year, Gen AoT. And I'm then next last year, Gen AoT. And I'm like, guys, this is just silly. like, guys, this is just silly. like, guys, this is just silly. >> Yeah. >> Yeah. >> Yeah. >> But >> But >> But >> it's called Generative Edge AI, by the >> it's called Generative Edge AI, by the >> it's called Generative Edge AI, by the way. That's the way. That's the way. That's the >> Oh, thanks. Oh my good AI edge >> Oh, thanks. Oh my good AI edge >> Oh, thanks. Oh my good AI edge intelligence like we're going to start intelligence like we're going to start intelligence like we're going to start having some m like this complete having some m like this complete having some m like this complete conglomeration of all of our acronyms. conglomeration of all of our acronyms. conglomeration of all of our acronyms. >> Yes. >> Yes. >> Yes. >> Hey there are microcontrollers out there >> Hey there are microcontrollers out there >> Hey there are microcontrollers out there running transformerbased language running transformerbased language running transformerbased language models. So beware. models. So beware. models. So beware. >> There you go. >> There you go. >> There you go. >> Really >> Really >> Really >> all of semiconductor. Look at all of >> all of semiconductor. Look at all of >> all of semiconductor. Look at all of semiconductor. Yeah they're running semiconductor. Yeah they're running semiconductor. Yeah they're running small language models on small language models on small language models on >> using the ARM ethos core. So it's it's >> using the ARM ethos core. So it's it's >> using the ARM ethos core. So it's it's happening. Look at our actually on our happening. Look at our actually on our happening. Look at our actually on our YouTube. He just did that two-day. Well, YouTube. He just did that two-day. Well, YouTube. He just did that two-day. Well, Rob, you were you helped kick it off the Rob, you were you helped kick it off the Rob, you were you helped kick it off the two-day generative edge AI.

two-day generative edge AI. two-day generative edge AI. >> It fits. They can there's enough brand. >> It fits. They can there's enough brand. >> It fits. They can there's enough brand. >> It fits. It fits. >> It fits. It fits. >> It fits. It fits. >> I saw yesterday I was doing some >> I saw yesterday I was doing some >> I saw yesterday I was doing some research on robotic stuff because I am research on robotic stuff because I am research on robotic stuff because I am doing some stuff in that space right doing some stuff in that space right doing some stuff in that space right now. And they're now calling these now. And they're now calling these now. And they're now calling these robots AI robots. So, I'm like, here we robots AI robots. So, I'm like, here we robots AI robots. So, I'm like, here we go. It It's another one. go. It It's another one. go. It It's another one. >> Why not? >> Why not? >> Why not? >> Whatever. AI car wash, too. There's an >> Whatever. AI car wash, too. There's an >> Whatever. AI car wash, too. There's an AI. Yeah. You know, AI. Yeah. You know, AI. Yeah. You know, >> there's a little something to that. I >> there's a little something to that. I >> there's a little something to that. I mean, you can have mean, you can have mean, you can have >> there definitely is especially some of >> there definitely is especially some of >> there definitely is especially some of the uh controllers like from a like the uh controllers like from a like the uh controllers like from a like control arms, but the humanoid the control arms, but the humanoid the control arms, but the humanoid the humanoid robotics is where like I think humanoid robotics is where like I think humanoid robotics is where like I think that that CES is going to be insane with that that CES is going to be insane with that that CES is going to be insane with humanoid humanoid humanoid >> Oh yeah. Oh yeah. >> Oh yeah. Oh yeah. >> Oh yeah. Oh yeah. >> announcements and we are looking forward >> announcements and we are looking forward >> announcements and we are looking forward to that. to that. to that. >> There's going to be some viral videos at >> There's going to be some viral videos at >> There's going to be some viral videos at CES of humanoid robots like chasing down CES of humanoid robots like chasing down CES of humanoid robots like chasing down pedestrians or whatever. I think we pedestrians or whatever. I think we pedestrians or whatever. I think we maybe we should put on costumes that maybe we should put on costumes that maybe we should put on costumes that >> Yeah, we should dress as humanoid robots >> Yeah, we should dress as humanoid robots >> Yeah, we should dress as humanoid robots and run around there tackling people. and run around there tackling people. and run around there tackling people. >> Are all of you guys going to be there? >> Are all of you guys going to be there? >> Are all of you guys going to be there? >> Yes, I'll be there. >> Yes, I'll be there. >> Yes, I'll be there. >> Of course.

>> Of course. >> Of course. >> Yes. >> Yes. >> Yes. >> That's going to that's going to be a >> That's going to that's going to be a >> That's going to that's going to be a good event because we're all going to be good event because we're all going to be good event because we're all going to be there. there. there. >> We're going to have a blast. >> We're going to have a blast. >> We're going to have a blast. >> Yeah, >> Yeah, >> Yeah, >> we have you seen the videos that that >> we have you seen the videos that that >> we have you seen the videos that that came out this week? There's a couple of came out this week? There's a couple of came out this week? There's a couple of them, but they're comparing, you know, them, but they're comparing, you know, them, but they're comparing, you know, the Tesla robot and there's a couple the Tesla robot and there's a couple the Tesla robot and there's a couple others in big brands. Um, and they're others in big brands. Um, and they're others in big brands. Um, and they're showing them running. showing them running. showing them running. >> Yeah. >> Yeah. >> Yeah. >> But they're not live videos. They're >> But they're not live videos. They're >> But they're not live videos. They're recorded videos and they're short recorded videos and they're short recorded videos and they're short seconds in time. seconds in time. seconds in time. >> Yeah. >> Yeah. >> Yeah. >> You know, one's way one of them was like >> You know, one's way one of them was like >> You know, one's way one of them was like 8 seconds. The other one's much shorter. 8 seconds. The other one's much shorter. 8 seconds. The other one's much shorter. But the one there's one of them if you But the one there's one of them if you But the one there's one of them if you just like look at my Twitter today. just like look at my Twitter today. just like look at my Twitter today. >> Oh Jesus. >> Oh Jesus. >> Oh Jesus. >> But it looks so freaking real. The human >> But it looks so freaking real. The human >> But it looks so freaking real. The human run like it looks smooth. the joint. It run like it looks smooth. the joint. It run like it looks smooth. the joint. It looks like joint looks like a human looks like joint looks like a human looks like joint looks like a human running. running. running. >> And so on the 8-second one, you didn't >> And so on the 8-second one, you didn't >> And so on the 8-second one, you didn't see the little Sora icon somewhere in see the little Sora icon somewhere in see the little Sora icon somewhere in the screen. the screen. the screen. >> That was But I was looking for that. >> That was But I was looking for that. >> That was But I was looking for that. Yeah. Yeah. Yeah. >> The uh the physical movements of some of >> The uh the physical movements of some of >> The uh the physical movements of some of these robots are pretty impressive. Um these robots are pretty impressive. Um these robots are pretty impressive. Um >> yeah, so >> yeah, so >> yeah, so >> it seems like we're all over the map >> it seems like we're all over the map >> it seems like we're all over the map because I do see the running robots in because I do see the running robots in because I do see the running robots in China and doing crazy stuff and then I China and doing crazy stuff and then I China and doing crazy stuff and then I see the really good robots like Optimus see the really good robots like Optimus see the really good robots like Optimus and all these other ones and they suck.

and all these other ones and they suck. and all these other ones and they suck. What about the Russian robot? Remember? What about the Russian robot? Remember? What about the Russian robot? Remember? >> I mean, remember the one where Elon's >> I mean, remember the one where Elon's >> I mean, remember the one where Elon's got his robot talking to what's his name got his robot talking to what's his name got his robot talking to what's his name from Salesforce? from Salesforce? from Salesforce? >> Give me a Coke. >> Give me a Coke. >> Give me a Coke. >> Oh, yeah. >> Oh, yeah. >> Oh, yeah. >> Give me a freaking Coke. And it's like, there's a um there's like a a mesh video there's a um there's like a a mesh video someone put together of all the the someone put together of all the the someone put together of all the the different robot like simulations or that different robot like simulations or that different robot like simulations or that they're on stage or whatever. All of the they're on stage or whatever. All of the they're on stage or whatever. All of the ones where they fall. There's like seven ones where they fall. There's like seven ones where they fall. There's like seven of them that fall. of them that fall. of them that fall. >> I love it when they fall. It's funny. >> I love it when they fall. It's funny. >> I love it when they fall. It's funny. >> Love the falling robots. Love the >> Love the falling robots. Love the >> Love the falling robots. Love the uneducated people. uneducated people. uneducated people. >> Oh, sorry. Sorry. That was >> Oh, sorry. Sorry. That was >> Oh, sorry. Sorry. That was >> Excuse me. You did that. >> Excuse me. You did that. >> Excuse me. You did that. >> Did I say that? >> Did I say that? >> Did I say that? >> That's a lot of people to love. >> That's a lot of people to love. >> That's a lot of people to love. >> That is true. >> That is true. >> That is true. >> Oh my god. >> Oh my god. >> Oh my god. >> Thank God for that. That's how the >> Thank God for that. That's how the >> Thank God for that. That's how the internet is working. internet is working. internet is working. Oh yeah, >> going.

>> going. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> When there was a band called Pseudo >> When there was a band called Pseudo >> When there was a band called Pseudo Echo. Echo. Echo. >> Pseudo Echo? I don't remember. >> Pseudo Echo? I don't remember. >> Pseudo Echo? I don't remember. >> I remember that. >> I remember that. >> I remember that. >> Probably. But it sounds like >> Probably. But it sounds like >> Probably. But it sounds like >> a couple of them. >> a couple of them. >> a couple of them. >> Yeah. Yeah. Absolutely. >> Yeah. Yeah. Absolutely. >> Yeah. Yeah. Absolutely. >> Uh yeah, CES is coming up. So, uh >> Uh yeah, CES is coming up. So, uh >> Uh yeah, CES is coming up. So, uh hopefully that one will get a little hopefully that one will get a little hopefully that one will get a little break before then. So, break before then. So, break before then. So, >> Rob, are you already in Fricksburg? >> Rob, are you already in Fricksburg? >> Rob, are you already in Fricksburg? >> I'm going to as soon as we're done with >> I'm going to as soon as we're done with >> I'm going to as soon as we're done with this, we'll load up the car and head this, we'll load up the car and head this, we'll load up the car and head your way. And actually, maybe we should your way. And actually, maybe we should your way. And actually, maybe we should drive along the state highway by your drive along the state highway by your drive along the state highway by your ranch just so we can see. ranch just so we can see. ranch just so we can see. >> Oh, thanks. >> Oh, thanks. >> Oh, thanks. >> Do a little clean up. >> Do a little clean up. >> Do a little clean up. >> Yeah. Yeah. Kathy just said, "So gross >> Yeah. Yeah. Kathy just said, "So gross >> Yeah. Yeah. Kathy just said, "So gross that suit." that suit." that suit." >> Yeah. Kathy saw your picture on >> Yeah. Kathy saw your picture on >> Yeah. Kathy saw your picture on Facebook. It's like that is so Facebook. It's like that is so Facebook. It's like that is so disgusting. disgusting. disgusting. >> You know what? I I was polite and did >> You know what? I I was polite and did >> You know what? I I was polite and did not zoom in on any of the nastiness cuz not zoom in on any of the nastiness cuz not zoom in on any of the nastiness cuz I think that that would have I think that that would have I think that that would have >> Yeah, >> Yeah, >> Yeah, >> it was already enough that I was I felt >> it was already enough that I was I felt >> it was already enough that I was I felt like I was getting sick when I drove up like I was getting sick when I drove up like I was getting sick when I drove up to the ranch. I was like, to the ranch. I was like, to the ranch. I was like, >> "Yeah, totally. That's gross. That's no >> "Yeah, totally. That's gross. That's no >> "Yeah, totally. That's gross. That's no bueno."

bueno." bueno." >> Here's something that's really ironic. >> Here's something that's really ironic. >> Here's something that's really ironic. And I'm, you know, as we're taping this And I'm, you know, as we're taping this And I'm, you know, as we're taping this session or recording this session, I'm session or recording this session, I'm session or recording this session, I'm getting all these invites for CES Micron getting all these invites for CES Micron getting all these invites for CES Micron analyst happy hour and they said they're analyst happy hour and they said they're analyst happy hour and they said they're going to be ditching their consumer going to be ditching their consumer going to be ditching their consumer stuff. So that's interesting because stuff. So that's interesting because stuff. So that's interesting because they're they're they're >> Yeah, >> Yeah, >> Yeah, >> they're getting out of the consumer >> they're getting out of the consumer >> they're getting out of the consumer memory business. memory business. memory business. >> Yeah. >> Yeah. >> Yeah. >> You know what? You know what I noticed >> You know what? You know what I noticed >> You know what? You know what I noticed though, Leonard? And this I've been though, Leonard? And this I've been though, Leonard? And this I've been looking a lot of the stuff. I actually looking a lot of the stuff. I actually looking a lot of the stuff. I actually finally downloaded the CES CES app just finally downloaded the CES CES app just finally downloaded the CES CES app just to see what's what's happening with this to see what's what's happening with this to see what's what's happening with this one. It seems like more than half of the one. It seems like more than half of the one. It seems like more than half of the activities, the companies, it's activities, the companies, it's activities, the companies, it's definitely more enterprise and definitely more enterprise and definitely more enterprise and industrial focused than consumer focused industrial focused than consumer focused industrial focused than consumer focused than I've ever seen. than I've ever seen. than I've ever seen. >> Oh, really? Wow. Interesting. and the >> Oh, really? Wow. Interesting. and the >> Oh, really? Wow. Interesting. and the companies that I'm not normally like companies that I'm not normally like companies that I'm not normally like last year I look at it every year last year I look at it every year last year I look at it every year >> to see who's coming and I went through >> to see who's coming and I went through >> to see who's coming and I went through all the companies and I'm like wow there all the companies and I'm like wow there all the companies and I'm like wow there are a lot more non I would not consider are a lot more non I would not consider are a lot more non I would not consider consumer oriented um companies that a consumer oriented um companies that a consumer oriented um companies that a lot more than I've ever seen.

lot more than I've ever seen. lot more than I've ever seen. >> Yeah, there's always a little spillover >> Yeah, there's always a little spillover >> Yeah, there's always a little spillover there because everybody's there but there because everybody's there but there because everybody's there but >> no >> no >> no >> still C for consumer. Yeah. So I guess >> still C for consumer. Yeah. So I guess >> still C for consumer. Yeah. So I guess crucial is no longer crucial. crucial is no longer crucial. crucial is no longer crucial. >> Oh wow, that's a headline. >> Oh wow, that's a headline. >> Oh wow, that's a headline. someone will pick it up. Oh, yeah. someone will pick it up. Oh, yeah. someone will pick it up. Oh, yeah. Micron, they said they announced that Micron, they said they announced that Micron, they said they announced that they're getting out of the consumer they're getting out of the consumer they're getting out of the consumer memory business, the crucial stuff that memory business, the crucial stuff that memory business, the crucial stuff that we've seen for 30 years. we've seen for 30 years. we've seen for 30 years. >> Yeah. >> Yeah. >> Yeah. >> Their overwhelming demand on the data >> Their overwhelming demand on the data >> Their overwhelming demand on the data center side because center side because center side because >> Yeah. >> Yeah. >> Yeah. >> Yeah. You know, >> Yeah. You know, >> Yeah. You know, >> you guys notice that that news that >> you guys notice that that news that >> you guys notice that that news that >> prices on RAM has been skyrocketing >> prices on RAM has been skyrocketing >> prices on RAM has been skyrocketing lately? lately? lately? >> Yeah. I'm surprised >> Yeah. I'm surprised >> Yeah. I'm surprised >> and it's fluctuating. And now I read >> and it's fluctuating. And now I read >> and it's fluctuating. And now I read something people are doing spot market something people are doing spot market something people are doing spot market pricing on RAM. Like they won't even pricing on RAM. Like they won't even pricing on RAM. Like they won't even give you a solid price. It's like call give you a solid price. It's like call give you a solid price. It's like call me me me >> I'll tell you what it costs today. >> I'll tell you what it costs today. >> I'll tell you what it costs today. >> Well, you know, you can always create um >> Well, you know, you can always create um >> Well, you know, you can always create um a futures. a futures. a futures. >> Yes. >> Yes. >> Yes. >> Right. Uh >> Right. Uh >> Right. Uh >> yeah. So >> yeah. So >> yeah. So >> you and I and Eddie Murphy are going to >> you and I and Eddie Murphy are going to >> you and I and Eddie Murphy are going to corner the orange.

corner the orange. corner the orange. >> Orange juice futures. Yeah. Orange >> Orange juice futures. Yeah. Orange >> Orange juice futures. Yeah. Orange juice. juice. juice. >> Exactly. I need you. Sounds like a new a >> Exactly. I need you. Sounds like a new a >> Exactly. I need you. Sounds like a new a new micro betting the new micro betting new micro betting the new micro betting new micro betting the new micro betting um of the day. um of the day. um of the day. >> Yeah. >> Yeah. >> Yeah. >> You know that's what all the kids are >> You know that's what all the kids are >> You know that's what all the kids are doing. They all download these micro doing. They all download these micro doing. They all download these micro betting apps betting apps betting apps >> and they bet on everything non-sports >> and they bet on everything non-sports >> and they bet on everything non-sports related sports related. related sports related. related sports related. >> Yeah. >> Yeah. >> Yeah. >> It's crazy. And it's the prize picks is >> It's crazy. And it's the prize picks is >> It's crazy. And it's the prize picks is really popular app. But there's a couple really popular app. But there's a couple really popular app. But there's a couple others. But these micro vetting apps are others. But these micro vetting apps are others. But these micro vetting apps are like taking off like in these younger like taking off like in these younger like taking off like in these younger kids that have no money, kids that have no money, kids that have no money, >> right? >> right? >> right? >> Spend money. >> Spend money. >> Spend money. >> Between that and the lottery tickets we >> Between that and the lottery tickets we >> Between that and the lottery tickets we started the conversation with, we're started the conversation with, we're started the conversation with, we're sort of uh infiltrating gambling across sort of uh infiltrating gambling across sort of uh infiltrating gambling across every aspect of human life at this every aspect of human life at this every aspect of human life at this point. point. point. >> Well, no, don't call it gambling. It's >> Well, no, don't call it gambling. It's >> Well, no, don't call it gambling. It's called gamification. called gamification. called gamification. >> Oh, I'm sorry. >> Oh, I'm sorry. >> Oh, I'm sorry. >> Gamification, not gaming. >> Gamification, not gaming. >> Gamification, not gaming. >> Yeah. Not >> Yeah. Not >> Yeah. Not >> Yeah. I was When I was in Vegas, I was >> Yeah. I was When I was in Vegas, I was >> Yeah. I was When I was in Vegas, I was going to do some gamification, too. But going to do some gamification, too. But going to do some gamification, too. But uh at the blackjack table just gify it a uh at the blackjack table just gify it a uh at the blackjack table just gify it a little bit here. little bit here. little bit here. >> Very expensive gamification.

>> Very expensive gamification. >> Very expensive gamification. >> Yeah. >> Yeah. >> Yeah. >> Speaking of Vegas, Rob and I just got >> Speaking of Vegas, Rob and I just got >> Speaking of Vegas, Rob and I just got back from Vegas. back from Vegas. back from Vegas. >> AWS >> AWS >> AWS reinvent. Yeah. Yeah. reinvent. Yeah. Yeah. reinvent. Yeah. Yeah. >> Yes. We reinvented stuff. >> Yes. We reinvented stuff. >> Yes. We reinvented stuff. >> Did they reinvent or what? What was the >> Did they reinvent or what? What was the >> Did they reinvent or what? What was the punch line? punch line? punch line? >> Oh yeah. They're always reinventing, >> Oh yeah. They're always reinventing, >> Oh yeah. They're always reinventing, right? right? right? >> Yes. Um, >> Yes. Um, >> Yes. Um, >> agentic AI on steroids. >> agentic AI on steroids. >> agentic AI on steroids. >> Yeah, >> Yeah, >> Yeah, >> agent core. >> agent core. >> agent core. >> Agent policy. >> Agent policy. >> Agent policy. >> Any big announcements? >> Any big announcements? >> Any big announcements? >> 1,000 big announcements. That's the >> 1,000 big announcements. That's the >> 1,000 big announcements. That's the problem. I maybe I'm wrong. Let her tell problem. I maybe I'm wrong. Let her tell problem. I maybe I'm wrong. Let her tell me. It's just like me. It's just like me. It's just like >> got flooded. >> got flooded. >> got flooded. >> You get flooded, you know, when you see >> You get flooded, you know, when you see >> You get flooded, you know, when you see the main keynote and then the second the main keynote and then the second the main keynote and then the second keynote. And it's just like, and for keynote. And it's just like, and for keynote. And it's just like, and for that reason, I'm pleased to announce that reason, I'm pleased to announce that reason, I'm pleased to announce blah blah blah. blah blah blah. blah blah blah. >> Well, we did that like 1,000 times. >> Well, we did that like 1,000 times. >> Well, we did that like 1,000 times. >> Right. Right. >> Right. Right. >> Right. Right. >> Like there's so much. I don't know how a >> Like there's so much. I don't know how a >> Like there's so much. I don't know how a human can digest all that stuff, you human can digest all that stuff, you human can digest all that stuff, you know?

know? know? >> Yeah. >> Yeah. >> Yeah. >> Doesn't it lose its luster or like like >> Doesn't it lose its luster or like like >> Doesn't it lose its luster or like like it doesn't is are there things that's it doesn't is are there things that's it doesn't is are there things that's not standing out when they have 20 not standing out when they have 20 not standing out when they have 20 announcements on stage like that? announcements on stage like that? announcements on stage like that? >> Yeah. You you don't know what's >> Yeah. You you don't know what's >> Yeah. You you don't know what's important. I mean, there's a lot of um important. I mean, there's a lot of um important. I mean, there's a lot of um um you know, there's it's just gets um you know, there's it's just gets um you know, there's it's just gets diluted, right? And they don't do diluted, right? And they don't do diluted, right? And they don't do themselves any favors. I think Rob, themselves any favors. I think Rob, themselves any favors. I think Rob, you're absolutely right. They should you're absolutely right. They should you're absolutely right. They should just uh stop just uh stop just uh stop doing all this blah blah blah style doing all this blah blah blah style doing all this blah blah blah style announcement marketing, right? Because announcement marketing, right? Because announcement marketing, right? Because people get lost and then most people people get lost and then most people people get lost and then most people they'll hear these um announcements and they'll hear these um announcements and they'll hear these um announcements and know won't know what they mean. it'll know won't know what they mean. it'll know won't know what they mean. it'll just mean something to a very small just mean something to a very small just mean something to a very small audience, right? audience, right? audience, right? >> Yeah. Yeah. >> Yeah. Yeah. >> Yeah. Yeah. >> So, it's, you know, they're kind of >> So, it's, you know, they're kind of >> So, it's, you know, they're kind of losing it. And, you know, actually, losing it. And, you know, actually, losing it. And, you know, actually, Amazon was the first to really, you Amazon was the first to really, you Amazon was the first to really, you know, get on earnings calls and just know, get on earnings calls and just know, get on earnings calls and just flood analysts with, you know, a flood analysts with, you know, a flood analysts with, you know, a thousand new announcements to show that thousand new announcements to show that thousand new announcements to show that they're innovating. But they spent only they're innovating. But they spent only they're innovating. But they spent only like what is it 10 minutes? Matt Garmin like what is it 10 minutes? Matt Garmin like what is it 10 minutes? Matt Garmin got up on his keynote and spent only 10 got up on his keynote and spent only 10 got up on his keynote and spent only 10 minutes on their core business and then minutes on their core business and then minutes on their core business and then the rest of it was focused on Agentic.

the rest of it was focused on Agentic. the rest of it was focused on Agentic. And like last year, last year was better And like last year, last year was better And like last year, last year was better because they they actually led in with because they they actually led in with because they they actually led in with um cloud when Azure or you know um cloud when Azure or you know um cloud when Azure or you know Microsoft and Google were just going Microsoft and Google were just going Microsoft and Google were just going bonkers with Gen AI, right? And for bonkers with Gen AI, right? And for bonkers with Gen AI, right? And for enterprise, everybody realized, oh, Gen enterprise, everybody realized, oh, Gen enterprise, everybody realized, oh, Gen AI is not good enough. So then you know AI is not good enough. So then you know AI is not good enough. So then you know the second half of the year we got into the second half of the year we got into the second half of the year we got into the reasoning stuff and they teed up the reasoning stuff and they teed up the reasoning stuff and they teed up Agentic. Agentic. Agentic. Um this year they Um this year they Um this year they AWS uh just followed the herd right if AWS uh just followed the herd right if AWS uh just followed the herd right if not maybe have had you know kind of led not maybe have had you know kind of led not maybe have had you know kind of led the herd but you get Swami getting up the herd but you get Swami getting up the herd but you get Swami getting up there and he's the the lead of um he's there and he's the the lead of um he's there and he's the the lead of um he's the VP of Agentic AI gets up there and the VP of Agentic AI gets up there and the VP of Agentic AI gets up there and he says hey we have these new agentic he says hey we have these new agentic he says hey we have these new agentic tools that get us 90% accuracy tools that get us 90% accuracy tools that get us 90% accuracy and I was sitting there with and I was sitting there with and I was sitting there with another analyst and I I looked at him another analyst and I I looked at him another analyst and I I looked at him and I go, "Dude, 90%." and I go, "Dude, 90%." and I go, "Dude, 90%." >> 90%. So only So one out of 10 trips gets >> 90%. So only So one out of 10 trips gets >> 90%. So only So one out of 10 trips gets booked incorrectly, I guess.

booked incorrectly, I guess. booked incorrectly, I guess. >> Yes. We're going to use that for our >> Yes. We're going to use that for our >> Yes. We're going to use that for our spaceship. spaceship. spaceship. >> Yikes. >> Yikes. >> Yikes. >> Yeah. But you know, >> Yeah. But you know, >> Yeah. But you know, >> one out of 10 invoices gets sent to the >> one out of 10 invoices gets sent to the >> one out of 10 invoices gets sent to the wrong vendor, wrong vendor, wrong vendor, >> right? >> right? >> right? >> Control systems and factories. Maybe >> Control systems and factories. Maybe >> Control systems and factories. Maybe airlines could use that airlines could use that airlines could use that >> at scale. Remember scale. >> at scale. Remember scale. >> at scale. Remember scale. >> At scale. Yes. >> At scale. Yes. >> At scale. Yes. people. people. people. >> Yes. >> Yes. >> Yes. >> You know, also, you know, and it's a >> You know, also, you know, and it's a >> You know, also, you know, and it's a reminder, you know, because, you know, reminder, you know, because, you know, reminder, you know, because, you know, obviously Pete and I have lived and obviously Pete and I have lived and obviously Pete and I have lived and breathed all the Microsoft developer breathed all the Microsoft developer breathed all the Microsoft developer events that were called different events that were called different events that were called different things. Reinvent is technically a things. Reinvent is technically a things. Reinvent is technically a developer event. That being said, broad developer event. That being said, broad developer event. That being said, broad audiences like 60,000 audiences like 60,000 audiences like 60,000 are coming to this and they're not are coming to this and they're not are coming to this and they're not developers or sub a subset of developers or sub a subset of developers or sub a subset of developers. everybody from every strata developers. everybody from every strata developers. everybody from every strata in the enterprise is there and they in the enterprise is there and they in the enterprise is there and they might be dumbfounded when there's such a might be dumbfounded when there's such a might be dumbfounded when there's such a developer focus and they were like where developer focus and they were like where developer focus and they were like where am I you know it's like oh am I at am I you know it's like oh am I at am I you know it's like oh am I at Microsoft PDC or build or whatever and Microsoft PDC or build or whatever and Microsoft PDC or build or whatever and so there's that like another big so there's that like another big so there's that like another big announcement though it was Cairo is that announcement though it was Cairo is that announcement though it was Cairo is that the name of their development tool the name of their development tool the name of their development tool >> and it's their AI development tool and >> and it's their AI development tool and >> and it's their AI development tool and to show how awesome they think it is to show how awesome they think it is to show how awesome they think it is they decided to double down and now it's they decided to double down and now it's they decided to double down and now it's the exclusive development tool for the exclusive development tool for the exclusive development tool for themselves And 100% of everything Amazon themselves And 100% of everything Amazon themselves And 100% of everything Amazon and AWS builds is going to be built with and AWS builds is going to be built with and AWS builds is going to be built with this Cairo tool.

this Cairo tool. this Cairo tool. >> The Kool-Aid, >> The Kool-Aid, >> The Kool-Aid, >> but yeah, >> but yeah, >> but yeah, >> I don't that, you know, well, that's >> I don't that, you know, well, that's >> I don't that, you know, well, that's what they'd like to say. And I, you what they'd like to say. And I, you what they'd like to say. And I, you know, that's all of them, right? Just know, that's all of them, right? Just know, that's all of them, right? Just Amazon or AWS, but it's not how it turns Amazon or AWS, but it's not how it turns Amazon or AWS, but it's not how it turns out, right? So, when you go into the out, right? So, when you go into the out, right? So, when you go into the expo and you start talking to the uh, expo and you start talking to the uh, expo and you start talking to the uh, you know, the guys that are running the you know, the guys that are running the you know, the guys that are running the demos, they'll they'll tell you, "Oh, demos, they'll they'll tell you, "Oh, demos, they'll they'll tell you, "Oh, yeah. Well, you know, um, you have to yeah. Well, you know, um, you have to yeah. Well, you know, um, you have to tweak it. There's a lot of work that tweak it. There's a lot of work that tweak it. There's a lot of work that goes into making the automations work, goes into making the automations work, goes into making the automations work, but you still have the SDLC, right? This but you still have the SDLC, right? This but you still have the SDLC, right? This is stuff that we've already talked is stuff that we've already talked is stuff that we've already talked about. So, there the human in the loop about. So, there the human in the loop about. So, there the human in the loop does not disappear. And what was really does not disappear. And what was really does not disappear. And what was really cool was when Wernner uh Vogles went up cool was when Wernner uh Vogles went up cool was when Wernner uh Vogles went up on stage um by the way they you know he on stage um by the way they you know he on stage um by the way they you know he was quoting Metallica Metallica tunes was quoting Metallica Metallica tunes was quoting Metallica Metallica tunes which is freaking awesome right nothing which is freaking awesome right nothing which is freaking awesome right nothing >> nothing matters so that was like his >> nothing matters so that was like his >> nothing matters so that was like his whole shtick for the the thing and they whole shtick for the the thing and they whole shtick for the the thing and they had like a string quartet um had like a string quartet um had like a string quartet um >> yeah it was the coolest thing to hear >> yeah it was the coolest thing to hear >> yeah it was the coolest thing to hear Kirk Hammet's solo for the Actually it's Kirk Hammet's solo for the Actually it's Kirk Hammet's solo for the Actually it's not Kirk Hammet it's James Hetfield's not Kirk Hammet it's James Hetfield's not Kirk Hammet it's James Hetfield's solo solo solo played on a cello.

played on a cello. played on a cello. That's likewome, right? But um yeah, you That's likewome, right? But um yeah, you That's likewome, right? But um yeah, you know, they record I think they record know, they record I think they record know, they record I think they record it. So, you know, you can go it. So, you know, you can go it. So, you know, you can go >> That's cool. >> That's cool. >> That's cool. >> But that's one way to capture our >> But that's one way to capture our >> But that's one way to capture our generations of of interest. generations of of interest. generations of of interest. >> Yeah. Yeah. >> Yeah. Yeah. >> Yeah. Yeah. >> Exactly. But and and it dates him like >> Exactly. But and and it dates him like >> Exactly. But and and it dates him like it dates the rest of us. it dates the rest of us. it dates the rest of us. >> Some of y'all are younger than me on >> Some of y'all are younger than me on >> Some of y'all are younger than me on here. here. here. >> Yeah. I think that's not true. Um, >> Yeah. I think that's not true. Um, >> Yeah. I think that's not true. Um, >> Leonard is, >> Leonard is, >> Leonard is, >> you know. No, >> you know. No, >> you know. No, >> that's true. Leonard's only 25. >> that's true. Leonard's only 25. >> that's true. Leonard's only 25. >> Scared the crap out of a number of >> Scared the crap out of a number of >> Scared the crap out of a number of people just, you know, this week when I people just, you know, this week when I people just, you know, this week when I told them how old I was. Um, but told them how old I was. Um, but told them how old I was. Um, but >> that's like God invented just for men. >> So, he didn't characterize it as like >> So, he didn't characterize it as like the replacement of the developer, right? the replacement of the developer, right? the replacement of the developer, right? He said it's a tool. and he reminded He said it's a tool. and he reminded He said it's a tool. and he reminded everybody in the audience cool and everybody in the audience cool and everybody in the audience cool and that'sly what he should have said and he that'sly what he should have said and he that'sly what he should have said and he >> and but you know it's such a big >> and but you know it's such a big >> and but you know it's such a big organization the messaging is not always organization the messaging is not always organization the messaging is not always consistent right youwami doing his thing consistent right youwami doing his thing consistent right youwami doing his thing which is like all a lot of the hype which is like all a lot of the hype which is like all a lot of the hype driven stuff and then at the very end driven stuff and then at the very end driven stuff and then at the very end they save like just like uh Matt's they save like just like uh Matt's they save like just like uh Matt's keynote they save um you know the keynote they save um you know the keynote they save um you know the technical keynote to articulate the technical keynote to articulate the technical keynote to articulate the sensible sensible sensible mindset around all this.

mindset around all this. mindset around all this. >> That's why they have Warner go last >> That's why they have Warner go last >> That's why they have Warner go last after everyone's already left because he after everyone's already left because he after everyone's already left because he says the real stuff cuz he's the only says the real stuff cuz he's the only says the real stuff cuz he's the only legit guy at AWS actually. He's been legit guy at AWS actually. He's been legit guy at AWS actually. He's been around forever. Okay. So also around forever. Okay. So also around forever. Okay. So also to show how analysts or the media can to show how analysts or the media can to show how analysts or the media can move stock markets during an event, you move stock markets during an event, you move stock markets during an event, you know, during the first keynote, you know, during the first keynote, you know, during the first keynote, you know, on Tuesday and they talk about know, on Tuesday and they talk about know, on Tuesday and they talk about Trannium 3 and they say best price Trannium 3 and they say best price Trannium 3 and they say best price performance and they kind of allude to performance and they kind of allude to performance and they kind of allude to the that it's as just as good as the that it's as just as good as the that it's as just as good as Blackwell uh but it's cheaper and better Blackwell uh but it's cheaper and better Blackwell uh but it's cheaper and better price performance. Well, that got out price performance. Well, that got out price performance. Well, that got out into the market that same day in AWS into the market that same day in AWS into the market that same day in AWS stock skyrocketed because the whisper stock skyrocketed because the whisper stock skyrocketed because the whisper down the lane until it gets into print down the lane until it gets into print down the lane until it gets into print media on the interwebs was this is just media on the interwebs was this is just media on the interwebs was this is just as good as Grace Blackwell it but it's a as good as Grace Blackwell it but it's a as good as Grace Blackwell it but it's a whole lot cheaper and you know Amazon's whole lot cheaper and you know Amazon's whole lot cheaper and you know Amazon's going to take over the world or whatever going to take over the world or whatever going to take over the world or whatever for and the Scott just rocketed and and for and the Scott just rocketed and and for and the Scott just rocketed and and it's just it happen. It's amazing how it's just it happen. It's amazing how it's just it happen. It's amazing how you just move markets during during an you just move markets during during an you just move markets during during an event because you got all these event because you got all these event because you got all these >> analysts and media people sitting there >> analysts and media people sitting there >> analysts and media people sitting there on their phones on their phones on their phones >> type in as fast as they can and you know >> type in as fast as they can and you know >> type in as fast as they can and you know >> probably started trending and then this >> probably started trending and then this >> probably started trending and then this all the investor guys started looking at all the investor guys started looking at all the investor guys started looking at it and it and it and >> yeah bye bye bye bye bye >> yeah bye bye bye bye bye >> yeah bye bye bye bye bye >> and at the same time what stock went >> and at the same time what stock went >> and at the same time what stock went down Nvidia down Nvidia down Nvidia simultaneously you know just like oh simultaneously you know just like oh simultaneously you know just like oh wait there's an alternative and then of wait there's an alternative and then of wait there's an alternative and then of course and we l and I talked about this course and we l and I talked about this course and we l and I talked about this you know and others then You know, they

you know and others then You know, they you know and others then You know, they announce and they do this every year. announce and they do this every year. announce and they do this every year. You know, it's a new thing, Trarenium 3. You know, it's a new thing, Trarenium 3. You know, it's a new thing, Trarenium 3. It's in it's still small volumes because It's in it's still small volumes because It's in it's still small volumes because it's a new chip, but they also it's a new chip, but they also it's a new chip, but they also announced, and now to let you know, announced, and now to let you know, announced, and now to let you know, we're working on Trannium 4. Um, and if we're working on Trannium 4. Um, and if we're working on Trannium 4. Um, and if any of you old-timers on here recall, any of you old-timers on here recall, any of you old-timers on here recall, uh, Osborne computers um, from the early uh, Osborne computers um, from the early uh, Osborne computers um, from the early >> Osborne effect, >> Osborne effect, >> Osborne effect, >> it they they basically did the Osborne >> it they they basically did the Osborne >> it they they basically did the Osborne thing, which you should never do. thing, which you should never do. thing, which you should never do. Osborne this, you know, as the story Osborne this, you know, as the story Osborne this, you know, as the story goes, you know, you announce the goes, you know, you announce the goes, you know, you announce the something that's coming in the future something that's coming in the future something that's coming in the future that's going to be so much better than that's going to be so much better than that's going to be so much better than what you have today and then it kills what you have today and then it kills what you have today and then it kills your sales for your present offering. your sales for your present offering. your sales for your present offering. And that's what put Osborne out of And that's what put Osborne out of And that's what put Osborne out of business. business. business. >> Yep. >> Yep. >> Yep. >> And that's what AWS basically did. >> And that's what AWS basically did. >> And that's what AWS basically did. >> Oh, we're working on something that's >> Oh, we're working on something that's >> Oh, we're working on something that's even super duper even better called even super duper even better called even super duper even better called Tranium 4. Tranium 4. Tranium 4. >> And but but obviously it's probably not >> And but but obviously it's probably not >> And but but obviously it's probably not going to have the Osborne effect. going to have the Osborne effect. going to have the Osborne effect. >> Yeah. announcing the the the next >> Yeah. announcing the the the next >> Yeah. announcing the the the next product as you're announcing that product as you're announcing that product as you're announcing that products in effect. products in effect. products in effect. >> Yes.

>> Yes. >> Yes. >> Yeah. But >> Yeah. But >> Yeah. But >> it's like why should I buy this? You got >> it's like why should I buy this? You got >> it's like why should I buy this? You got the next thing is working on. the next thing is working on. the next thing is working on. >> Yeah. Wait for the next thing. >> Yeah. Wait for the next thing. >> Yeah. Wait for the next thing. >> That happens with everything but the the >> That happens with everything but the the >> That happens with everything but the the G's. 3G 4G. No one's going give me some G's. 3G 4G. No one's going give me some G's. 3G 4G. No one's going give me some of that. of that. of that. >> I'm going to wait till 6G comes out. >> I'm going to wait till 6G comes out. >> I'm going to wait till 6G comes out. Yeah. I'm not buying a phone until 6G Yeah. I'm not buying a phone until 6G Yeah. I'm not buying a phone until 6G comes out. comes out. comes out. Well, it's sort of like if it's like if Well, it's sort of like if it's like if Well, it's sort of like if it's like if Tim Cook announced like the iPhone 17 Tim Cook announced like the iPhone 17 Tim Cook announced like the iPhone 17 and then at the same time said, "Yeah, and then at the same time said, "Yeah, and then at the same time said, "Yeah, and next year we're going to do the 18 and next year we're going to do the 18 and next year we're going to do the 18 and it's going to have these features." and it's going to have these features." and it's going to have these features." Like that would not be a good idea. So, Like that would not be a good idea. So, Like that would not be a good idea. So, yeah, it's never a good idea to announce yeah, it's never a good idea to announce yeah, it's never a good idea to announce your next gen as you're announcing your your next gen as you're announcing your your next gen as you're announcing your first gen or whatever. So, first gen or whatever. So, first gen or whatever. So, >> why don't you say some words, Demetri, >> why don't you say some words, Demetri, >> why don't you say some words, Demetri, and we'll finish and we'll finish and we'll finish it. it. it. >> I was trying to find time to say some >> I was trying to find time to say some >> I was trying to find time to say some words. words. words. >> One, two, three. >> One, two, three. >> One, two, three. >> I don't know. This is very >> I don't know. This is very >> I don't know. This is very >> the the reason why you're not going to >> the the reason why you're not going to >> the the reason why you're not going to have the Osborne effect with Amazon is have the Osborne effect with Amazon is have the Osborne effect with Amazon is because subs subscription service. So because subs subscription service. So because subs subscription service. So the subscription went put that away. the subscription went put that away. the subscription went put that away. >> Okay. Okay. Yeah, that makes sense. >> Okay. Okay. Yeah, that makes sense. >> Okay. Okay. Yeah, that makes sense. >> But true. >> But true. >> But true. >> But then also um >> But then also um >> But then also um >> that do didn't they're not the ones that >> that do didn't they're not the ones that >> that do didn't they're not the ones that did it first. It's Nvidia that did it did it first. It's Nvidia that did it did it first. It's Nvidia that did it first. They laid out their road map and first. They laid out their road map and first. They laid out their road map and they're, you know, think about it.

they're, you know, think about it. they're, you know, think about it. They've announced their systems going They've announced their systems going They've announced their systems going out literally four, you know, three out literally four, you know, three out literally four, you know, three years, right? Three, you know, they have years, right? Three, you know, they have years, right? Three, you know, they have three generations on their map. The three generations on their map. The three generations on their map. The stuff they're delivering now, about to stuff they're delivering now, about to stuff they're delivering now, about to deliver, and then stuff a year out, and deliver, and then stuff a year out, and deliver, and then stuff a year out, and then, uh, you know, out. So, uh, and then, uh, you know, out. So, uh, and then, uh, you know, out. So, uh, and Jensen gets on stage, uh, and he does Jensen gets on stage, uh, and he does Jensen gets on stage, uh, and he does talk about how, well, with the next talk about how, well, with the next talk about how, well, with the next generation, you're not going to give a generation, you're not going to give a generation, you're not going to give a crap about the one that you just bought. crap about the one that you just bought. crap about the one that you just bought. And so now when there's that discussion And so now when there's that discussion And so now when there's that discussion around useful life around useful life around useful life there he has a problem right and I call there he has a problem right and I call there he has a problem right and I call it the Jensen dilemma okay is the it the Jensen dilemma okay is the it the Jensen dilemma okay is the technology really scaling technology really scaling technology really scaling or is it slowing down so you can have a or is it slowing down so you can have a or is it slowing down so you can have a longer useful life longer useful life longer useful life the his problem is um inference systems the his problem is um inference systems the his problem is um inference systems are diversifying so all the the systems are diversifying so all the the systems are diversifying so all the the systems that they have right now what the NVL72s that they have right now what the NVL72s that they have right now what the NVL72s whether it's uh you know be b you know whether it's uh you know be b you know whether it's uh you know be b you know blackwell based or even in the future blackwell based or even in the future blackwell based or even in the future verbased verbased verbased it's all going to look different right it's all going to look different right it's all going to look different right that's why they introduce CPX that's why they introduce CPX that's why they introduce CPX and that's going to be a problem for and that's going to be a problem for and that's going to be a problem for that thesis and these systems will are that thesis and these systems will are that thesis and these systems will are going to be obsolete if they hold on to going to be obsolete if they hold on to going to be obsolete if they hold on to these curves Jensen's talking about but these curves Jensen's talking about but these curves Jensen's talking about but that's not the case that means that the that's not the case that means that the that's not the case that means that the technology is not actually moving as

technology is not actually moving as technology is not actually moving as fast as he's alluding to, which you fast as he's alluding to, which you fast as he's alluding to, which you know, I've been saying that for 2 and know, I've been saying that for 2 and know, I've been saying that for 2 and 1/2 years, ever since he's been 1/2 years, ever since he's been 1/2 years, ever since he's been introducing these various variations of introducing these various variations of introducing these various variations of scaling laws, which are not really laws, scaling laws, which are not really laws, scaling laws, which are not really laws, um, especially the way that they're um, especially the way that they're um, especially the way that they're presented. So he he has a problem now presented. So he he has a problem now presented. So he he has a problem now and he's and as does Lisa who's taken up and he's and as does Lisa who's taken up and he's and as does Lisa who's taken up that same narrative and AWS and anyone that same narrative and AWS and anyone that same narrative and AWS and anyone else who's picking this stuff up. But I else who's picking this stuff up. But I else who's picking this stuff up. But I think what Google and AWS are dealing think what Google and AWS are dealing think what Google and AWS are dealing with are probably better economics with are probably better economics with are probably better economics because they're in a they are in a because they're in a they are in a because they're in a they are in a different game different game different game >> um than uh Nvidia with a lot of the >> um than uh Nvidia with a lot of the >> um than uh Nvidia with a lot of the frontier um customers that they tend to frontier um customers that they tend to frontier um customers that they tend to have. You know what I'm saying? where have. You know what I'm saying? where have. You know what I'm saying? where general purpose uh accelerators make a general purpose uh accelerators make a general purpose uh accelerators make a bit more sense, right? But if you're bit more sense, right? But if you're bit more sense, right? But if you're like a Google, like a Google, like a Google, you're big enough, right? And you have a you're big enough, right? And you have a you're big enough, right? And you have a singular roadmap for your own models.

singular roadmap for your own models. singular roadmap for your own models. >> Mhm. >> Mhm. >> Mhm. >> You can scale that. >> You can scale that. >> You can scale that. >> Mhm. Oh. Um, that's why >> Mhm. Oh. Um, that's why >> Mhm. Oh. Um, that's why uh you see them, you know, they can uh you see them, you know, they can uh you see them, you know, they can probably uh get a lot out of a what probably uh get a lot out of a what probably uh get a lot out of a what looks like a less performant chip, but looks like a less performant chip, but looks like a less performant chip, but it these systems are more about it these systems are more about it these systems are more about interconnect networking and um interconnect networking and um interconnect networking and um everything else, power management, power everything else, power management, power everything else, power management, power distribution. distribution. distribution. Um, so the the talk track right now on Um, so the the talk track right now on Um, so the the talk track right now on especially on Wall Street and just in especially on Wall Street and just in especially on Wall Street and just in general is about again about 16 months general is about again about 16 months general is about again about 16 months to two years off. We've already been to two years off. We've already been to two years off. We've already been talking about systems for 2 years, but talking about systems for 2 years, but talking about systems for 2 years, but people are still talking about chips. So people are still talking about chips. So people are still talking about chips. So if you go and you listen on media and if you go and you listen on media and if you go and you listen on media and you see some of these talking heads get you see some of these talking heads get you see some of these talking heads get up on CNBC and stuff, they still talk up on CNBC and stuff, they still talk up on CNBC and stuff, they still talk about the freaking chip. You know what I about the freaking chip. You know what I about the freaking chip. You know what I mean? But the black belt doesn't matter mean? But the black belt doesn't matter mean? But the black belt doesn't matter that much anymore. It's MV link, right? that much anymore. It's MV link, right? that much anymore. It's MV link, right? It's the scale up, the scale out, and It's the scale up, the scale out, and It's the scale up, the scale out, and this now the scale across [ __ ] this now the scale across [ __ ] this now the scale across [ __ ] >> That's what's important more than >> That's what's important more than >> That's what's important more than >> No, it's a good point. And also, I think >> No, it's a good point. And also, I think >> No, it's a good point. And also, I think the point of like the inferencing being the point of like the inferencing being the point of like the inferencing being se is becoming more separated from the se is becoming more separated from the se is becoming more separated from the training.

training. training. >> Yeah. >> Yeah. >> Yeah. >> Is very key. A lot of people don't >> Is very key. A lot of people don't >> Is very key. A lot of people don't understand that, but that is definitely understand that, but that is definitely understand that, but that is definitely happening. and the efficiency that's happening. and the efficiency that's happening. and the efficiency that's driving I always tell people the driving I always tell people the driving I always tell people the efficiency is the frontier efficiency is the frontier efficiency is the frontier >> and getting more efficiency in >> and getting more efficiency in >> and getting more efficiency in inferencing and in training you know is inferencing and in training you know is inferencing and in training you know is really where there's going to be a lot really where there's going to be a lot really where there's going to be a lot of economic value as well so um of economic value as well so um of economic value as well so um >> yeah frontier is such a big buzz word >> yeah frontier is such a big buzz word >> yeah frontier is such a big buzz word these days is these days is these days is >> frontier yeah the frontier of the >> frontier yeah the frontier of the >> frontier yeah the frontier of the frontier don't forget that frontier don't forget that frontier don't forget that >> exactly frontier models we might have >> exactly frontier models we might have >> exactly frontier models we might have frontier agents frontier agents frontier agents at at Ignite Microsoft talked about at at Ignite Microsoft talked about at at Ignite Microsoft talked about frontier firms like companies that are frontier firms like companies that are frontier firms like companies that are companies.com. companies.com. companies.com. >> Whatever happened to Frontier >> Whatever happened to Frontier >> Whatever happened to Frontier Communications? Communications? Communications? >> Oh my gosh. >> Oh my gosh. >> Oh my gosh. >> Fiber Optics, right? >> Fiber Optics, right? >> Fiber Optics, right? At cutes. At cutes. At cutes. >> Were they a whisper? >> Were they a whisper? >> Were they a whisper? >> No, they were more than that. I remember >> No, they were more than that. I remember >> No, they were more than that. I remember >> I remember getting bringing in like 10 >> I remember getting bringing in like 10 >> I remember getting bringing in like 10 gig circuits into buildings and from gig circuits into buildings and from gig circuits into buildings and from Frontier. Frontier. Frontier. >> Definitely a heavy rural communicate >> Definitely a heavy rural communicate >> Definitely a heavy rural communicate heavy rural SMB and enterprise market. heavy rural SMB and enterprise market. heavy rural SMB and enterprise market. >> And then sometimes you can fly on their >> And then sometimes you can fly on their >> And then sometimes you can fly on their airplanes airplanes airplanes >> maybe. maybe.

from Dimmitri. from Dimmitri. >> Yeah, he's he's having serious audio. >> Yeah, he's he's having serious audio. >> Yeah, he's he's having serious audio. >> Yeah, really. What's going on here, >> Yeah, really. What's going on here, >> Yeah, really. What's going on here, buddy? buddy? buddy? >> It's like it's some kind of big audio >> It's like it's some kind of big audio >> It's like it's some kind of big audio dynamite. dynamite. dynamite. >> Oh, and then he was on mute. He didn't >> Oh, and then he was on mute. He didn't >> Oh, and then he was on mute. He didn't >> He's tapping out again. >> He's tapping out again. >> He's tapping out again. >> He's on the frontier quest. >> He's on the frontier quest. >> He's on the frontier quest. >> Frontier. That's what happens out there. >> Frontier. That's what happens out there. >> Frontier. That's what happens out there. >> Frontier of audio. >> Frontier of audio. >> Frontier of audio. >> Yes. >> Yes. >> Yes. >> Gentech audio production there for >> Gentech audio production there for >> Gentech audio production there for Yes. >> Crazy town. Crazy town. >> Crazy town. Crazy town. >> Crazy town. >> Crazy town. >> Crazy town. >> Yeah. Um all that infrastructure stuff >> Yeah. Um all that infrastructure stuff >> Yeah. Um all that infrastructure stuff um um um you know uh it's um you know uh it's um you know uh it's um it's it's definitely something that um it's it's definitely something that um it's it's definitely something that um >> I love this. I love when Pete walks >> I love this. I love when Pete walks >> I love this. I love when Pete walks away. He's got the auto framing. auto away. He's got the auto framing. auto away. He's got the auto framing. auto zoom is like, zoom is like, zoom is like, >> but what it does is it's kind of like it >> but what it does is it's kind of like it >> but what it does is it's kind of like it almost reminds me it's not exactly, you almost reminds me it's not exactly, you almost reminds me it's not exactly, you know, like when Hawaii with 5 would come know, like when Hawaii with 5 would come know, like when Hawaii with 5 would come on and they're racing across the room. on and they're racing across the room. on and they're racing across the room. That's right. That's right. That's right. >> And then McGavit or whatever turns >> And then McGavit or whatever turns >> And then McGavit or whatever turns around, around, around, >> you know, it's just like that's awesome.

>> you know, it's just like that's awesome. >> you know, it's just like that's awesome. >> The Hawaii. >> The Hawaii. >> The Hawaii. >> Yes. >> Yes. >> Yes. >> Sorry, Leonard. You were you >> Sorry, Leonard. You were you >> Sorry, Leonard. You were you >> No, I'm I'm going to I'm going to um you >> No, I'm I'm going to I'm going to um you >> No, I'm I'm going to I'm going to um you know um make a comment about Dimmitri. know um make a comment about Dimmitri. know um make a comment about Dimmitri. You know, the Dimmitri situation is uh a You know, the Dimmitri situation is uh a You know, the Dimmitri situation is uh a perfect example of why enterprises don't perfect example of why enterprises don't perfect example of why enterprises don't change [ __ ] or are so slow with digital change [ __ ] or are so slow with digital change [ __ ] or are so slow with digital transformation. He probably like bought transformation. He probably like bought transformation. He probably like bought a new snazzy uh interface or something a new snazzy uh interface or something a new snazzy uh interface or something like that. like that. like that. >> EDA converter. >> EDA converter. >> EDA converter. >> No, what what happened is I had a >> No, what what happened is I had a >> No, what what happened is I had a Microsoft Teams meeting just before this Microsoft Teams meeting just before this Microsoft Teams meeting just before this one one one >> and that threw you off. Dang it. because >> and that threw you off. Dang it. because >> and that threw you off. Dang it. because somebody at Microsoft thought that the somebody at Microsoft thought that the somebody at Microsoft thought that the the the sound APIs at the layer of the the the sound APIs at the layer of the the the sound APIs at the layer of the operating system of the Mac was not good operating system of the Mac was not good operating system of the Mac was not good enough for their [ __ ] So they decided enough for their [ __ ] So they decided enough for their [ __ ] So they decided to lose some hacks to lose some hacks to lose some hacks and uh yeah it and uh yeah it and uh yeah it >> they have like auto settings and it >> they have like auto settings and it >> they have like auto settings and it throws everything off and so when you throws everything off and so when you throws everything off and so when you log into your log into your log into your >> audio subsystem and >> a gentic come on and then then they >> a gentic come on and then then they threw a MCP server in there somewhere threw a MCP server in there somewhere threw a MCP server in there somewhere just uh just uh just uh >> why not >> why not >> why not >> some sort of 90% accurate agentic thing >> some sort of 90% accurate agentic thing >> some sort of 90% accurate agentic thing going on going on going on >> well I did I say this last week I was so >> well I did I say this last week I was so >> well I did I say this last week I was so surprised to see that there's Skype for surprised to see that there's Skype for surprised to see that there's Skype for business server is still a thing.

business server is still a thing. business server is still a thing. >> Did I talk about like last week? I don't >> Did I talk about like last week? I don't >> Did I talk about like last week? I don't know. Or maybe know. Or maybe know. Or maybe >> I was that on the internet way back >> I was that on the internet way back >> I was that on the internet way back machine or something. machine or something. machine or something. >> Come on, Rob. Do you think Microsoft >> Come on, Rob. Do you think Microsoft >> Come on, Rob. Do you think Microsoft Teams is something different than Teams is something different than Teams is something different than SharePoint? SharePoint? SharePoint? >> No. But so maybe L and I talked about >> No. But so maybe L and I talked about >> No. But so maybe L and I talked about it. it. it. >> Yeah, because at Ignite a couple weeks >> Yeah, because at Ignite a couple weeks >> Yeah, because at Ignite a couple weeks ago, you know, they I'm talking about ago, you know, they I'm talking about ago, you know, they I'm talking about their Azure local. They're really making their Azure local. They're really making their Azure local. They're really making that up kind of to be a competitor to that up kind of to be a competitor to that up kind of to be a competitor to Outpost or Oracle dedicated region. and Outpost or Oracle dedicated region. and Outpost or Oracle dedicated region. and they talked about new announcements that they talked about new announcements that they talked about new announcements that almost no one saw. Microsoft 365 local almost no one saw. Microsoft 365 local almost no one saw. Microsoft 365 local that runs on Azure local, your onrem that runs on Azure local, your onrem that runs on Azure local, your onrem servers and it and it includes Exchange servers and it and it includes Exchange servers and it and it includes Exchange server server server um Skype for Business Server and um Skype for Business Server and um Skype for Business Server and SharePoint server SharePoint server SharePoint server >> and we are >> and we are >> and we are >> so this runs on a server uh on your >> so this runs on a server uh on your >> so this runs on a server uh on your business. Oh, business. Oh, business. Oh, >> we're regretting >> we're regretting >> we're regretting >> you went and bought a server from HP or >> you went and bought a server from HP or >> you went and bought a server from HP or Dell and you have Dell and you have Dell and you have >> putting Exchange on it. Wow, that's >> putting Exchange on it. Wow, that's >> putting Exchange on it. Wow, that's revolutionary revolutionary revolutionary >> exchange, but we're going to call it >> exchange, but we're going to call it >> exchange, but we're going to call it Azure somehow.

Azure somehow. Azure somehow. >> Local >> Local >> Local >> local. So, uh >> local. So, uh >> local. So, uh >> when Microsoft bought Skype, it's like >> when Microsoft bought Skype, it's like >> when Microsoft bought Skype, it's like everything went to [ __ ] from there on. everything went to [ __ ] from there on. everything went to [ __ ] from there on. So, So, So, >> good following. They had a good user >> good following. They had a good user >> good following. They had a good user base. base. base. >> Bring back link. I think the link was >> Bring back link. I think the link was >> Bring back link. I think the link was >> Yeah, >> Yeah, >> Yeah, >> we used um Compass used um Skype when we >> we used um Compass used um Skype when we >> we used um Compass used um Skype when we had like 30 employees and that's the way had like 30 employees and that's the way had like 30 employees and that's the way we communicated everything. we communicated everything. we communicated everything. >> Skype was the best >> Skype was the best >> Skype was the best >> ICQ. ICQ was better. >> ICQ. ICQ was better. >> ICQ. ICQ was better. >> Yeah, Skype was >> Yeah, Skype was >> Yeah, Skype was >> and all of the folks that were we had a >> and all of the folks that were we had a >> and all of the folks that were we had a lot of folks that we would talk to in lot of folks that we would talk to in lot of folks that we would talk to in Asia and India and Singapore and it was Asia and India and Singapore and it was Asia and India and Singapore and it was just so much easier than having just so much easier than having just so much easier than having >> free phone calls. I mean, >> free phone calls. I mean, >> free phone calls. I mean, >> yeah. >> yeah. >> yeah. >> Yeah, Skype was free phone calls. That >> Yeah, Skype was free phone calls. That >> Yeah, Skype was free phone calls. That was the value prop. Free international was the value prop. Free international was the value prop. Free international phone calls. Such phone calls. Such phone calls. Such genius technology. It was peer-to-peer genius technology. It was peer-to-peer genius technology. It was peer-to-peer technology technology technology >> that they used and it was so efficient. >> that they used and it was so efficient. >> that they used and it was so efficient. It does anyone remember it could run on It does anyone remember it could run on It does anyone remember it could run on your netbook. your netbook. your netbook. Um does anybody remember netbooks? like Um does anybody remember netbooks? like Um does anybody remember netbooks? like they were low-end laptops they were low-end laptops they were low-end laptops >> uh running XP or Linux or something and >> uh running XP or Linux or something and >> uh running XP or Linux or something and all of a sudden all of a sudden all of a sudden >> that was a a short category shortlived >> that was a a short category shortlived >> that was a a short category shortlived >> short but everybody no matter how poor >> short but everybody no matter how poor >> short but everybody no matter how poor they are they could have a netbook with they are they could have a netbook with they are they could have a netbook with Skype and they're connected to the Skype and they're connected to the Skype and they're connected to the planet when Microsoft bought Skype you planet when Microsoft bought Skype you planet when Microsoft bought Skype you know what Microsoft did to it they know what Microsoft did to it they know what Microsoft did to it they rearchitected the whole thing and rearchitected the whole thing and rearchitected the whole thing and converted it into a hub and spoke converted it into a hub and spoke converted it into a hub and spoke communication system instead of the communication system instead of the communication system instead of the clever peer-to-peer thing uh and randed clever peer-to-peer thing uh and randed clever peer-to-peer thing uh and randed right into the ground.

right into the ground. right into the ground. >> And of course, there's also the >> And of course, there's also the >> And of course, there's also the peripheral effects because remember back peripheral effects because remember back peripheral effects because remember back at that time and maybe now again at that time and maybe now again at that time and maybe now again Microsoft was not a cool company. And Microsoft was not a cool company. And Microsoft was not a cool company. And people can't underestimate how important people can't underestimate how important people can't underestimate how important the vibe of the company. Are you cool? the vibe of the company. Are you cool? the vibe of the company. Are you cool? Are you hip? Or are you a loser? Like oh Are you hip? Or are you a loser? Like oh Are you hip? Or are you a loser? Like oh like like we always would talk about IBM like like we always would talk about IBM like like we always would talk about IBM or whatever. And and so instantly people or whatever. And and so instantly people or whatever. And and so instantly people are like I don't even care if Skype's are like I don't even care if Skype's are like I don't even care if Skype's good. the Microsoft had become the evil good. the Microsoft had become the evil good. the Microsoft had become the evil empire during the Balmer years and so empire during the Balmer years and so empire during the Balmer years and so I'm not going to use it and it just I'm not going to use it and it just I'm not going to use it and it just died. died. died. >> That was definitely the period when that >> That was definitely the period when that >> That was definitely the period when that was happening too. was happening too. was happening too. >> Like they bought something and everyone >> Like they bought something and everyone >> Like they bought something and everyone that was like a heavy user were like, that was like a heavy user were like, that was like a heavy user were like, "I'm out. I'm out." "I'm out. I'm out." "I'm out. I'm out." >> I'm out. >> I'm out. >> I'm out. >> Right. >> Right. >> Right. >> It's called breaking the toy before you >> It's called breaking the toy before you >> It's called breaking the toy before you get it out of the box. get it out of the box. get it out of the box. >> That's how Pete's going to be at Vegas. >> That's how Pete's going to be at Vegas. >> That's how Pete's going to be at Vegas. I'm out. I'm out. I'm out. >> Sorry. I'm out, man. >> Sorry. I'm out, man. >> Sorry. I'm out, man. >> We're going to have so much fun in >> We're going to have so much fun in >> We're going to have so much fun in Vegas. Vegas. Vegas. >> Blackjack. I'm burn out on uh Vegas already, but I'm burn out on uh Vegas already, but yes, we should have a dinner. yes, we should have a dinner. yes, we should have a dinner. >> We just got back, so you know. >> We just got back, so you know. >> We just got back, so you know. >> Yeah, it's it's not my favorite place >> Yeah, it's it's not my favorite place >> Yeah, it's it's not my favorite place for tech conferences, but for tech conferences, but for tech conferences, but >> yeah, that's where >> yeah, that's where >> yeah, that's where >> the hotels >> the hotels >> the hotels >> time lip chapping. I mean, literally, >> time lip chapping. I mean, literally, >> time lip chapping. I mean, literally, you will land and you will feel your you will land and you will feel your you will land and you will feel your lips.

lips. lips. >> In fact, during an interview or >> In fact, during an interview or >> In fact, during an interview or something, I witnessed Leonard Lee pull something, I witnessed Leonard Lee pull something, I witnessed Leonard Lee pull out his chapstick and put it on while we out his chapstick and put it on while we out his chapstick and put it on while we were there this week. were there this week. were there this week. >> And and he's not kidding. It it was so >> And and he's not kidding. It it was so >> And and he's not kidding. It it was so dry. It's like 0% heated. dry. It's like 0% heated. dry. It's like 0% heated. >> That's the That's the giveaway for tech >> That's the That's the giveaway for tech >> That's the That's the giveaway for tech companies. Give away your give away a companies. Give away your give away a companies. Give away your give away a chapstick thingap your logo on it. chapstick thingap your logo on it. chapstick thingap your logo on it. >> Four or five, you know, those lotions, >> Four or five, you know, those lotions, >> Four or five, you know, those lotions, the body lotions to stick all over my the body lotions to stick all over my the body lotions to stick all over my body cuz I was like turning into a body cuz I was like turning into a body cuz I was like turning into a mummy. It was horrible. mummy. It was horrible. mummy. It was horrible. >> Bring bring a humidifier. >> Bring bring a humidifier. >> Bring bring a humidifier. >> Oh my god. Actually, you wouldn't do >> Oh my god. Actually, you wouldn't do >> Oh my god. Actually, you wouldn't do well, Leonard, in like super dry well, Leonard, in like super dry well, Leonard, in like super dry climates because you're already you climates because you're already you climates because you're already you start cracking the minute you land. start cracking the minute you land. start cracking the minute you land. >> Yeah. Yeah. >> Yeah. Yeah. >> Yeah. Yeah. >> You guys know I I I spend my vacation in >> You guys know I I I spend my vacation in >> You guys know I I I spend my vacation in Vegas for Defcon every year. Vegas for Defcon every year. Vegas for Defcon every year. >> So, I I stay about a week over there. I >> So, I I stay about a week over there. I >> So, I I stay about a week over there. I bring a humidifier in my room. bring a humidifier in my room. bring a humidifier in my room. >> Oh, it makes a difference. >> Oh, it makes a difference. >> Oh, it makes a difference. >> It makes it probably helps. >> It makes it probably helps. >> It makes it probably helps. >> Sizes, doesn't it? >> Sizes, doesn't it? >> Sizes, doesn't it? >> So, you're you've got like a portable >> So, you're you've got like a portable >> So, you're you've got like a portable humidifier that you take humidifier that you take humidifier that you take >> like that and I just usually I drive >> like that and I just usually I drive >> like that and I just usually I drive there. So have a cost.

there. So have a cost. there. So have a cost. >> All right. So but yeah, >> All right. So but yeah, >> All right. So but yeah, >> I would love to get I'd love to get a >> I would love to get I'd love to get a >> I would love to get I'd love to get a good product recommendation. You know good product recommendation. You know good product recommendation. You know that our our viewers might want to that our our viewers might want to that our our viewers might want to portable humidifier. portable humidifier. portable humidifier. >> Yeah. I don't remember. Well, the the >> Yeah. I don't remember. Well, the the >> Yeah. I don't remember. Well, the the the product recommendation is Google on the product recommendation is Google on the product recommendation is Google on Amazon and search. Amazon and search. Amazon and search. >> Yeah. >> Yeah. >> Yeah. >> Amazon special. >> Amazon special. >> Amazon special. >> Yeah. Amazon special. >> Yeah. Amazon special. >> Yeah. Amazon special. >> No, but it's seriously it makes a big >> No, but it's seriously it makes a big >> No, but it's seriously it makes a big deal. deal. deal. >> No, I totally agree. I totally agree. >> No, I totally agree. I totally agree. >> No, I totally agree. I totally agree. >> Good tip. Travel tip. Good tip travel. >> Good tip. Travel tip. Good tip travel. >> Good tip. Travel tip. Good tip travel. >> Maybe as a business we should open a a >> Maybe as a business we should open a a >> Maybe as a business we should open a a humidifier shop in Las Vegas and rent humidifier shop in Las Vegas and rent humidifier shop in Las Vegas and rent >> like a little a little rental, you know, >> like a little a little rental, you know, >> like a little a little rental, you know, like where you check your bag at the like where you check your bag at the like where you check your bag at the LBCC. You could rent a humidifier. LBCC. You could rent a humidifier. LBCC. You could rent a humidifier. >> Humidifier. Exactly. >> Humidifier. Exactly. >> Humidifier. Exactly. >> Yes. >> Yes. >> Yes. >> Now, the store should have everything to >> Now, the store should have everything to >> Now, the store should have everything to do with skin, humidity, like just have a do with skin, humidity, like just have a do with skin, humidity, like just have a products for everything. Eyes, your eyes products for everything. Eyes, your eyes products for everything. Eyes, your eyes get dry, your lips get dry, your skin get dry, your lips get dry, your skin get dry, your lips get dry, your skin gets dry, your sinus cavities get dry, gets dry, your sinus cavities get dry, gets dry, your sinus cavities get dry, >> everything. a little food truck, you >> everything. a little food truck, you >> everything. a little food truck, you know, brand it with humidifiers and skin know, brand it with humidifiers and skin know, brand it with humidifiers and skin product around Vegas.

product around Vegas. product around Vegas. >> We just built the factory nearby so it's >> We just built the factory nearby so it's >> We just built the factory nearby so it's made in America and everything in made in America and everything in made in America and everything in America. America. America. >> We have the new store launch hydration >> We have the new store launch hydration >> We have the new store launch hydration stored. stored. stored. >> So investors, please send money. I will >> So investors, please send money. I will >> So investors, please send money. I will going to give you my PayPal account, going to give you my PayPal account, going to give you my PayPal account, >> hydration food truck or whatever. If I >> hydration food truck or whatever. If I >> hydration food truck or whatever. If I know the marketing princess on this know the marketing princess on this know the marketing princess on this show, within a week she will have a show, within a week she will have a show, within a week she will have a Shopify site, a humidifying travel site, Shopify site, a humidifying travel site, Shopify site, a humidifying travel site, and it's going to have all accessories and it's going to have all accessories and it's going to have all accessories all together. all together. all together. >> It's going to be called Hydropom. >> It's going to be called Hydropom. >> It's going to be called Hydropom. >> Oh my god. Genius. Wow. >> Oh my god. Genius. Wow. >> Oh my god. Genius. Wow. >> Exactly. >> Exactly. >> Exactly. >> Let's go. >> Let's go. >> Let's go. >> Yeah. Big money. >> Yeah. Big money. >> Yeah. Big money. >> No. You know what? I just I just shut >> No. You know what? I just I just shut >> No. You know what? I just I just shut down the Etsy store. M down the Etsy store. M down the Etsy store. M enough love enough love enough love >> because I can still um buy, purchase, >> because I can still um buy, purchase, >> because I can still um buy, purchase, create and print, you know, hoodies, create and print, you know, hoodies, create and print, you know, hoodies, sweatshirts, t-shirts, and not have the sweatshirts, t-shirts, and not have the sweatshirts, t-shirts, and not have the store the store volume is not enough to store the store volume is not enough to store the store volume is not enough to pay for the Texas city taxes to have pay for the Texas city taxes to have pay for the Texas city taxes to have because you got to pay it's set up as a because you got to pay it's set up as a because you got to pay it's set up as a retail. So, you got to pay retail taxes retail. So, you got to pay retail taxes retail. So, you got to pay retail taxes and file a form every month. And it's and file a form every month. And it's and file a form every month. And it's like, like, like, >> oh, screw that noise. when you don't >> oh, screw that noise. when you don't >> oh, screw that noise. when you don't have volume, like you're not a a true have volume, like you're not a a true have volume, like you're not a a true retailer. It's annoying. But you can retailer. It's annoying. But you can retailer. It's annoying. But you can still have you can still buy everything still have you can still buy everything still have you can still buy everything wholesale wholesale wholesale >> and just give them out to your friends >> and just give them out to your friends >> and just give them out to your friends and have your own little personal like and have your own little personal like and have your own little personal like >> Yeah.

>> Yeah. >> Yeah. >> do it that way. >> do it that way. >> do it that way. >> What if could how would it could you do >> What if could how would it could you do >> What if could how would it could you do it on your own website or do you still it on your own website or do you still it on your own website or do you still have to pay the same retail stuff? No, have to pay the same retail stuff? No, have to pay the same retail stuff? No, like I still I still have my account like I still I still have my account like I still I still have my account where I can create design and and get um where I can create design and and get um where I can create design and and get um any kind of merchandise printed and I any kind of merchandise printed and I any kind of merchandise printed and I would just do it one-on-one with would just do it one-on-one with would just do it one-on-one with someone. Hey, you want to buy something? someone. Hey, you want to buy something? someone. Hey, you want to buy something? You know, I can even show the designs You know, I can even show the designs You know, I can even show the designs and say, "Hey, um let me know what you and say, "Hey, um let me know what you and say, "Hey, um let me know what you want and I just buy on my wholesale want and I just buy on my wholesale want and I just buy on my wholesale account." account." account." >> Gotcha. I was just thinking out loud of >> Gotcha. I was just thinking out loud of >> Gotcha. I was just thinking out loud of how do you if you could build a bigger how do you if you could build a bigger how do you if you could build a bigger business for yourself on your own business for yourself on your own business for yourself on your own website with website with website with something formerly known as search something formerly known as search something formerly known as search engine optimization that may or may not engine optimization that may or may not engine optimization that may or may not work anymore. I'm not sure now that we work anymore. I'm not sure now that we work anymore. I'm not sure now that we have have have >> it's still working. Google Analytics >> it's still working. Google Analytics >> it's still working. Google Analytics changes like every changes like every changes like every >> AIO. It's the AEO now. It's the AI >> AIO. It's the AEO now. It's the AI >> AIO. It's the AEO now. It's the AI engine optimization. engine optimization. engine optimization. >> Okay. So, we have to >> Okay. So, we have to >> Okay. So, we have to >> everything Yeah. Everything's automated >> everything Yeah. Everything's automated >> everything Yeah. Everything's automated now through a lot of those web platforms now through a lot of those web platforms now through a lot of those web platforms and the CMS platforms will have AI like and the CMS platforms will have AI like and the CMS platforms will have AI like >> generated SEO so you don't have to >> generated SEO so you don't have to >> generated SEO so you don't have to create it anymore. It will go in and create it anymore. It will go in and create it anymore. It will go in and look at your content, look at your look at your content, look at your look at your content, look at your imagery, imagery, imagery, >> define it, create the tagging all for >> define it, create the tagging all for >> define it, create the tagging all for you. So you don't have to do that you. So you don't have to do that you. So you don't have to do that anymore.

anymore. anymore. >> It'll buy it, it'll sell it, it'll ship >> It'll buy it, it'll sell it, it'll ship >> It'll buy it, it'll sell it, it'll ship it, it'll consume it, it'll throw it out it, it'll consume it, it'll throw it out it, it'll consume it, it'll throw it out and then buy more automatically. and then buy more automatically. and then buy more automatically. >> I love that. supply chain logistics >> I love that. supply chain logistics >> I love that. supply chain logistics optimiz you know it's awesome optimiz you know it's awesome optimiz you know it's awesome >> absolutely that's so good >> absolutely that's so good >> absolutely that's so good >> yes >> yes >> yes >> we are so looking forward to being out >> we are so looking forward to being out >> we are so looking forward to being out in your part of the world Stephanie in your part of the world Stephanie in your part of the world Stephanie >> well you know is a like glorious place >> well you know is a like glorious place >> well you know is a like glorious place during the Christmas time it's a ger you during the Christmas time it's a ger you during the Christmas time it's a ger you know they have a lot of the you know the know they have a lot of the you know the know they have a lot of the you know the German town they have a lot of really German town they have a lot of really German town they have a lot of really cool things but in market square our cool things but in market square our cool things but in market square our school runs the ice skating rink so it's school runs the ice skating rink so it's school runs the ice skating rink so it's really tiny really tiny really tiny >> but you can go in there and get some hot >> but you can go in there and get some hot >> but you can go in there and get some hot cocoa go ice skate and um they have a cocoa go ice skate and um they have a cocoa go ice skate and um they have a lot of lights and it's really they have lot of lights and it's really they have lot of lights and it's really they have a really great Christmas kind of setup a really great Christmas kind of setup a really great Christmas kind of setup and but yeah, you said that they're and but yeah, you said that they're and but yeah, you said that they're having a parade this weekend, huh? having a parade this weekend, huh? having a parade this weekend, huh? >> That's like the big event. It's tonight. >> That's like the big event. It's tonight. >> That's like the big event. It's tonight. >> Yeah. >> Yeah. >> Yeah. >> At 6:30. >> At 6:30. >> At 6:30. >> I'm sure our school will be in it. But >> I'm sure our school will be in it. But >> I'm sure our school will be in it. But >> yeah, I mean I' I've gone to it before, >> yeah, I mean I' I've gone to it before, >> yeah, I mean I' I've gone to it before, but it was decades ago. Uh but it was decades ago. Uh but it was decades ago. Uh >> Fredericksburg was much smaller place >> Fredericksburg was much smaller place >> Fredericksburg was much smaller place back then.

back then. back then. >> Yeah. And you know, you can drink um you >> Yeah. And you know, you can drink um you >> Yeah. And you know, you can drink um you can have open containers and drink while can have open containers and drink while can have open containers and drink while you're walking around on Main Street. So you're walking around on Main Street. So you're walking around on Main Street. So >> what >> what >> what >> wine everything. >> wine everything. >> wine everything. >> Are you saying that Freddersburg is >> Are you saying that Freddersburg is >> Are you saying that Freddersburg is basically the same as New Orleans? basically the same as New Orleans? basically the same as New Orleans? >> Yeah, >> Yeah, >> Yeah, >> you can walk around with a drink or >> you can walk around with a drink or >> you can walk around with a drink or Vegas. I guess that big. Vegas. I guess that big. Vegas. I guess that big. >> It's a lot safer, Rob. >> It's a lot safer, Rob. >> It's a lot safer, Rob. >> It's safer than New Orleans. >> It's safer than New Orleans. >> It's safer than New Orleans. >> You won't be disappeared. >> You won't be disappeared. >> You won't be disappeared. >> Nope. >> Nope. >> Nope. >> In Vegas, you can walk around with those >> In Vegas, you can walk around with those >> In Vegas, you can walk around with those big tall margarita things, right? big tall margarita things, right? big tall margarita things, right? >> Oh, yeah. That's true. >> Oh, yeah. That's true. >> Oh, yeah. That's true. >> It's cra Well, Vegas is even crazier cuz >> It's cra Well, Vegas is even crazier cuz >> It's cra Well, Vegas is even crazier cuz there's people are smoking marijuana there's people are smoking marijuana there's people are smoking marijuana everywhere you go. everywhere you go. everywhere you go. >> Crazy. Crazy. >> Crazy. Crazy. >> Crazy. Crazy. >> Yeah. You know, the first time I ever >> Yeah. You know, the first time I ever >> Yeah. You know, the first time I ever went to Vegas and I smelled that and I went to Vegas and I smelled that and I went to Vegas and I smelled that and I looked around, I'm like, when did that looked around, I'm like, when did that looked around, I'm like, when did that happen? When did they start allowing happen? When did they start allowing happen? When did they start allowing that? And like that was like a shock. that? And like that was like a shock. that? And like that was like a shock. Like I didn't realize that that was Like I didn't realize that that was Like I didn't realize that that was legal. legal. legal. >> Yeah. >> Yeah. >> Yeah. >> They've been doing it for a while. >> They've been doing it for a while. >> They've been doing it for a while. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> At least it's hot. I mean, it's not like >> At least it's hot. I mean, it's not like >> At least it's hot. I mean, it's not like or where you have like folks, you know, or where you have like folks, you know, or where you have like folks, you know, shooting up harder stuff right in front shooting up harder stuff right in front shooting up harder stuff right in front of your kid.

of your kid. of your kid. >> Well, but you there's actually some >> Well, but you there's actually some >> Well, but you there's actually some interesting research in this area interesting research in this area interesting research in this area because the the amount of the active because the the amount of the active because the the amount of the active substance you have in in the modern part substance you have in in the modern part substance you have in in the modern part that you smoke is like 15 20% higher that you smoke is like 15 20% higher that you smoke is like 15 20% higher than one in the 70s. So, this kind of a than one in the 70s. So, this kind of a than one in the 70s. So, this kind of a soft drug thing idea, it's actually soft drug thing idea, it's actually soft drug thing idea, it's actually completely stupid nowadays. It's pretty completely stupid nowadays. It's pretty completely stupid nowadays. It's pretty much as addicted as harder stuff now. much as addicted as harder stuff now. much as addicted as harder stuff now. So, it's it's crazy. Yeah. And then So, it's it's crazy. Yeah. And then So, it's it's crazy. Yeah. And then there's so many overdosing because they there's so many overdosing because they there's so many overdosing because they go by off the street. There's fit lace go by off the street. There's fit lace go by off the street. There's fit lace and they fit overdose. and they fit overdose. and they fit overdose. >> Yeah. There's there's all these new >> Yeah. There's there's all these new >> Yeah. There's there's all these new molecules where you can pretty much do molecules where you can pretty much do molecules where you can pretty much do that in your garage fairly easily. that in your garage fairly easily. that in your garage fairly easily. >> So, and it's going to get even worse >> So, and it's going to get even worse >> So, and it's going to get even worse than that. than that. than that. >> Well, it couldn't have been stronger >> Well, it couldn't have been stronger >> Well, it couldn't have been stronger than the uh clear Chinese liquor that I than the uh clear Chinese liquor that I than the uh clear Chinese liquor that I had when I was in Korea. That stuff was had when I was in Korea. That stuff was had when I was in Korea. That stuff was pretty nasty. pretty nasty. pretty nasty. >> Whoa. went out to dinner and to Korea >> Whoa. went out to dinner and to Korea >> Whoa. went out to dinner and to Korea and they unboxed they came out with this and they unboxed they came out with this and they unboxed they came out with this uh it was like an acrylic rectangular uh it was like an acrylic rectangular uh it was like an acrylic rectangular box with some clear Chinese liquor box with some clear Chinese liquor box with some clear Chinese liquor bottle inside it and so they made a big bottle inside it and so they made a big bottle inside it and so they made a big thing of opening the box and taking that thing of opening the box and taking that thing of opening the box and taking that out and out and out and >> real >> real >> real >> and then you know and I was with a I was >> and then you know and I was with a I was >> and then you know and I was with a I was with a customer and so you know and they with a customer and so you know and they with a customer and so you know and they bought the thing so we're like okay bought the thing so we're like okay bought the thing so we're like okay let's have some of this stuff whatever let's have some of this stuff whatever let's have some of this stuff whatever and I'm like they're like oh this is the and I'm like they're like oh this is the and I'm like they're like oh this is the best this is the best stuff this is like best this is the best stuff this is like best this is the best stuff this is like >> and you know and it was like in these >> and you know and it was like in these >> and you know and it was like in these kind of halfsiz shot glasses and had the kind of halfsiz shot glasses and had the kind of halfsiz shot glasses and had the shot us. And man, that was nasty. That shot us. And man, that was nasty. That shot us. And man, that was nasty. That was was was >> And we know how important unboxing is >> And we know how important unboxing is >> And we know how important unboxing is these days.

these days. these days. >> It was It was a Yeah, it was a long >> It was It was a Yeah, it was a long >> It was It was a Yeah, it was a long unboxing and pouring. unboxing and pouring. unboxing and pouring. >> I'm sure like they were like honoring >> I'm sure like they were like honoring >> I'm sure like they were like honoring you as their you as their you as their >> No, no, it was. And I was, you know, I >> No, no, it was. And I was, you know, I >> No, no, it was. And I was, you know, I put on my customer face, which was like, put on my customer face, which was like, put on my customer face, which was like, I got to try this. I got to try this. I got to try this. >> This is fantastic. Yeah. And I'm >> This is fantastic. Yeah. And I'm >> This is fantastic. Yeah. And I'm thinking, thinking, thinking, >> first thing I thought of when I had it >> first thing I thought of when I had it >> first thing I thought of when I had it was like, do I still have gas in my lawn was like, do I still have gas in my lawn was like, do I still have gas in my lawn mower or did I leave that? Did I drain mower or did I leave that? Did I drain mower or did I leave that? Did I drain that out for the season? paper strong. that out for the season? paper strong. that out for the season? paper strong. >> It was tough. It was tough. So, you >> It was tough. It was tough. So, you >> It was tough. It was tough. So, you know, know, know, >> substances come in all forms these days. >> substances come in all forms these days. >> substances come in all forms these days. So, uh So, uh So, uh >> hey, some other >> hey, some other >> hey, some other maybe it's a way to make AI look maybe it's a way to make AI look maybe it's a way to make AI look smarter. You know, you just lower the smarter. You know, you just lower the smarter. You know, you just lower the humans with weird substance EV. Thank humans with weird substance EV. Thank humans with weird substance EV. Thank >> some other saw >> some other saw >> some other saw >> that just recently, you may have seen >> that just recently, you may have seen >> that just recently, you may have seen that our good friend Mark Zuckerberg that our good friend Mark Zuckerberg that our good friend Mark Zuckerberg just came out and said that he was going just came out and said that he was going just came out and said that he was going to reduce his investment in the to reduce his investment in the to reduce his investment in the metaverse which instantly made their metaverse which instantly made their metaverse which instantly made their stock go up. stock go up. stock go up. >> Yeah. >> Yeah. >> Yeah. >> So that kind of tells you about >> So that kind of tells you about >> So that kind of tells you about >> good metaverse >> good metaverse >> good metaverse >> metaverse. >> metaverse. >> metaverse. >> Maybe the same thing will happen with AI >> Maybe the same thing will happen with AI >> Maybe the same thing will happen with AI at some point. They'll they'll announce at some point. They'll they'll announce at some point. They'll they'll announce that they're going to reduce their that they're going to reduce their that they're going to reduce their spending in a AI infrastructure and spending in a AI infrastructure and spending in a AI infrastructure and their stock will go up. You did talk their stock will go up. You did talk their stock will go up. You did talk about that this week about what happened about that this week about what happened about that this week about what happened to, you know, no one talks about llama to, you know, no one talks about llama to, you know, no one talks about llama anymore from, you know, a year ago, anymore from, you know, a year ago, anymore from, you know, a year ago, Meta was thought of as one of the big Meta was thought of as one of the big Meta was thought of as one of the big leaders in AI with open source and leaders in AI with open source and leaders in AI with open source and >> I didn't hear anybody talking about >> I didn't hear anybody talking about >> I didn't hear anybody talking about >> there's so many open source models out >> there's so many open source models out >> there's so many open source models out there right now, especially from China.

there right now, especially from China. there right now, especially from China. Speaking of China, um, Speaking of China, um, Speaking of China, um, >> got over >> got over >> got over >> the idea of open source and and actually >> the idea of open source and and actually >> the idea of open source and and actually small language models are kind of the small language models are kind of the small language models are kind of the new hot thing too. So if you look at the new hot thing too. So if you look at the new hot thing too. So if you look at the kind of billion parameter 10 billion kind of billion parameter 10 billion kind of billion parameter 10 billion parameter and less it's a very hot space parameter and less it's a very hot space parameter and less it's a very hot space >> so hot right now >> so hot right now >> so hot right now >> and so the idea of llama llama was a >> and so the idea of llama llama was a >> and so the idea of llama llama was a pioneer or they were on the frontier of pioneer or they were on the frontier of pioneer or they were on the frontier of uh you know open source foundation uh you know open source foundation uh you know open source foundation models but uh these days you know models but uh these days you know models but uh these days you know there's too many models to shake a stick there's too many models to shake a stick there's too many models to shake a stick at and actually what's going to we'll at and actually what's going to we'll at and actually what's going to we'll probably see is I think more efficient probably see is I think more efficient probably see is I think more efficient models doing more work and more models doing more work and more models doing more work and more specialized models you know so you'll specialized models you know so you'll specialized models you know so you'll have like you know you have Groot for have like you know you have Groot for have like you know you have Groot for robotics you robotics you robotics you You'll have foundation models for, you You'll have foundation models for, you You'll have foundation models for, you know, autonomous mobility. You'll have know, autonomous mobility. You'll have know, autonomous mobility. You'll have foundation models for, you know, foundation models for, you know, foundation models for, you know, manufacturing. So, we're going to see manufacturing. So, we're going to see manufacturing. So, we're going to see more and more specialized more and more specialized more and more specialized >> AI models. And so, the general purpose >> AI models. And so, the general purpose >> AI models. And so, the general purpose llama stuff was cool and groundbreaking llama stuff was cool and groundbreaking llama stuff was cool and groundbreaking a few months ago. Uh, but a few months ago. Uh, but a few months ago. Uh, but >> these days, all the cool kids are using >> these days, all the cool kids are using >> these days, all the cool kids are using all kinds of open- source small language all kinds of open- source small language all kinds of open- source small language models. I feel like I feel like at the models. I feel like I feel like at the models. I feel like I feel like at the very beginning, especially when things very beginning, especially when things very beginning, especially when things are launching fresh, green, brand new, are launching fresh, green, brand new, are launching fresh, green, brand new, that the branding makes sense and it that the branding makes sense and it that the branding makes sense and it stands out and when the market starts stands out and when the market starts stands out and when the market starts opening up, all of these names, they're opening up, all of these names, they're opening up, all of these names, they're just a just a just a >> we just start forgetting who they are >> we just start forgetting who they are >> we just start forgetting who they are and what they were because it's really and what they were because it's really and what they were because it's really not about the brand or the name of not about the brand or the name of not about the brand or the name of whatever it is anymore. It becomes, you whatever it is anymore. It becomes, you whatever it is anymore. It becomes, you were mentioning that, Leonard, about were mentioning that, Leonard, about were mentioning that, Leonard, about it's just a tool. this is going to be it's just a tool. this is going to be it's just a tool. this is going to be embedded into the things that we're embedded into the things that we're embedded into the things that we're working with or software that we're working with or software that we're working with or software that we're working with. So it it just loses its

working with. So it it just loses its working with. So it it just loses its meaning from a branding perspective. meaning from a branding perspective. meaning from a branding perspective. But you know, I think that from a But you know, I think that from a But you know, I think that from a customer experience or even like a customer experience or even like a customer experience or even like a worker experience perspective, this worker experience perspective, this worker experience perspective, this stuff is going to be embedded into so stuff is going to be embedded into so stuff is going to be embedded into so many things that we work with every many things that we work with every many things that we work with every single day that it's not going to matter single day that it's not going to matter single day that it's not going to matter what the name is. what the name is. what the name is. >> And that's Yeah. And that's what we >> And that's Yeah. And that's what we >> And that's Yeah. And that's what we we've been talking about that for three we've been talking about that for three we've been talking about that for three years now, right? and and years now, right? and and years now, right? and and um you know, you're absolutely right. um you know, you're absolutely right. um you know, you're absolutely right. It's just going to it's just an It's just going to it's just an It's just going to it's just an augmenting tool at the end of the day. augmenting tool at the end of the day. augmenting tool at the end of the day. It's not reliable enough to be as It's not reliable enough to be as It's not reliable enough to be as transformative as everyone transformative as everyone transformative as everyone uh you know thought it might be, right? uh you know thought it might be, right? uh you know thought it might be, right? Um and so now we you know the other big Um and so now we you know the other big Um and so now we you know the other big buzzword Rob was uh freaking what is it? buzzword Rob was uh freaking what is it? buzzword Rob was uh freaking what is it? Um neuro uh neuro Oh my god. Can't think Um neuro uh neuro Oh my god. Can't think Um neuro uh neuro Oh my god. Can't think of the word neuromorphic. of the word neuromorphic. of the word neuromorphic. >> No. No. >> No. No. >> No. No. >> Is that neurode divergent? >> Is that neurode divergent? >> Is that neurode divergent? >> Yes. Neurode diverent. No, they added it >> Yes. Neurode diverent. No, they added it >> Yes. Neurode diverent. No, they added it to the neuros symbolic. to the neuros symbolic. to the neuros symbolic. >> Neurosy symbolic AI. So now there's this >> Neurosy symbolic AI. So now there's this >> Neurosy symbolic AI. So now there's this this huge this huge this huge >> uh and basically no one has an answer.

>> uh and basically no one has an answer. >> uh and basically no one has an answer. Um Yan Lun, he doesn't have an answer. Um Yan Lun, he doesn't have an answer. Um Yan Lun, he doesn't have an answer. That's why I had to bash them on the That's why I had to bash them on the That's why I had to bash them on the LinkedIn machine with my comments to LinkedIn machine with my comments to LinkedIn machine with my comments to maybe remind what people symbolic AI is. maybe remind what people symbolic AI is. maybe remind what people symbolic AI is. >> Oh, what is it? >> Oh, what is it? >> Oh, what is it? >> Oh, yeah. >> Oh, yeah. >> Oh, yeah. >> Symbolic AI is a nice name for a rules >> Symbolic AI is a nice name for a rules >> Symbolic AI is a nice name for a rules engine or branching logic. So, back in engine or branching logic. So, back in engine or branching logic. So, back in the day doing something that we might the day doing something that we might the day doing something that we might make fun of today like a rules engine or make fun of today like a rules engine or make fun of today like a rules engine or if this then that or something like that if this then that or something like that if this then that or something like that that actually was AI uh and that for that actually was AI uh and that for that actually was AI uh and that for building expert systems and things like building expert systems and things like building expert systems and things like that. Um, and so I think when AWS that. Um, and so I think when AWS that. Um, and so I think when AWS they wanted to make sure that everything they wanted to make sure that everything they wanted to make sure that everything they said was related to AI and they they said was related to AI and they they said was related to AI and they didn't want to take you down a weird didn't want to take you down a weird didn't want to take you down a weird thing and so they started saying thing and so they started saying thing and so they started saying symbolic AI but luckily I was in the symbolic AI but luckily I was in the symbolic AI but luckily I was in the audience I was likeh that's rules engine and what did they that's rules engine and what did they have to do the new policy engine that have to do the new policy engine that have to do the new policy engine that they're putting around their agent core they're putting around their agent core they're putting around their agent core so the agents can't do things that are so the agents can't do things that are so the agents can't do things that are not allowed by policy not allowed by policy not allowed by policy it's based on that and so it's basically it's based on that and so it's basically it's based on that and so it's basically It's a rules. It's a rules engine to you It's a rules. It's a rules engine to you It's a rules. It's a rules engine to you where you and they even showed it. It where you and they even showed it. It where you and they even showed it. It was almost like, you know, was almost like, you know, was almost like, you know, >> see to me that's such a reach. It's such >> see to me that's such a reach. It's such >> see to me that's such a reach. It's such a reach to try to rename something a reach to try to rename something a reach to try to rename something that's been around. I I feel like, you that's been around. I I feel like, you that's been around. I I feel like, you know, know, know, >> we're see we see these waves all of us >> we're see we see these waves all of us >> we're see we see these waves all of us on this particular IoT coffee do. We've on this particular IoT coffee do. We've on this particular IoT coffee do. We've seen these waves over and over and over seen these waves over and over and over seen these waves over and over and over again and we're used to the reach. But I again and we're used to the reach. But I again and we're used to the reach. But I mean the mean the mean the >> but you know this is but tech always >> but you know this is but tech always >> but you know this is but tech always does the the washing, right? The green does the the washing, right? The green does the the washing, right? The green washing, the AI washing, the 5G washing.

washing, the AI washing, the 5G washing. washing, the AI washing, the 5G washing. 5G ready power cords or whatever. I mean 5G ready power cords or whatever. I mean 5G ready power cords or whatever. I mean >> or digital ready speakers or I mean you >> or digital ready speakers or I mean you >> or digital ready speakers or I mean you know it's all AI ready screen sa screen know it's all AI ready screen sa screen know it's all AI ready screen sa screen protectors or something. or 6 6G with protectors or something. or 6 6G with protectors or something. or 6 6G with Atmos. Atmos. Atmos. >> But you know, whatever >> But you know, whatever >> But you know, whatever >> today, you know what this show is about >> today, you know what this show is about >> today, you know what this show is about for the listeners is survival because for the listeners is survival because for the listeners is survival because you know what? There are a lot of folks you know what? There are a lot of folks you know what? There are a lot of folks that are jumping into this generative AI that are jumping into this generative AI that are jumping into this generative AI agentic stuff. You know, SIS, you know, agentic stuff. You know, SIS, you know, agentic stuff. You know, SIS, you know, a lot of partners of these hyperscalers, a lot of partners of these hyperscalers, a lot of partners of these hyperscalers, they're not making money. They're not they're not making money. They're not they're not making money. They're not making profit. It It's not It's not an making profit. It It's not It's not an making profit. It It's not It's not an easy game. And when the hype evaporates, easy game. And when the hype evaporates, easy game. And when the hype evaporates, guess what? Their bets in this stuff are guess what? Their bets in this stuff are guess what? Their bets in this stuff are going to evaporate. going to evaporate. going to evaporate. >> Mhm. just like we saw in IoT, you're >> Mhm. just like we saw in IoT, you're >> Mhm. just like we saw in IoT, you're going to disappear. You're going to lose going to disappear. You're going to lose going to disappear. You're going to lose a [ __ ] ton of money. And so the a [ __ ] ton of money. And so the a [ __ ] ton of money. And so the grounding is important. And you know, I grounding is important. And you know, I grounding is important. And you know, I was explaining to an executive was explaining to an executive was explaining to an executive when we were at um in Vegas that you when we were at um in Vegas that you when we were at um in Vegas that you know, if you tune into solving problems know, if you tune into solving problems know, if you tune into solving problems and being relevant for your customers and being relevant for your customers and being relevant for your customers and helping shielding them actually from and helping shielding them actually from and helping shielding them actually from the stuff that doesn't make any sense, the stuff that doesn't make any sense, the stuff that doesn't make any sense, you'll survive and you'll actually make you'll survive and you'll actually make you'll survive and you'll actually make a business. So when everyone else gives a business. So when everyone else gives a business. So when everyone else gives up on generative AI and Agentic because up on generative AI and Agentic because up on generative AI and Agentic because it's failed everyone's expectations, it's failed everyone's expectations, it's failed everyone's expectations, you're going to you're not going to be you're going to you're not going to be you're going to you're not going to be part of that group. You know, you know, part of that group. You know, you know, part of that group. You know, you know, everyone loves to say, you know, everyone loves to say, you know, everyone loves to say, you know, everyone under you know, overestimates everyone under you know, overestimates everyone under you know, overestimates technology in the short term and then technology in the short term and then technology in the short term and then they u underestimate and long term. Yes,

they u underestimate and long term. Yes, they u underestimate and long term. Yes, but there's two parties, right? the but there's two parties, right? the but there's two parties, right? the folks who exaggerated and invested and folks who exaggerated and invested and folks who exaggerated and invested and got lost everything and got got lost everything and got got lost everything and got disappointed. They're not going to be disappointed. They're not going to be disappointed. They're not going to be part of that ladder part of that ladder part of that ladder >> dynamic where you're, you know, uh, >> dynamic where you're, you know, uh, >> dynamic where you're, you know, uh, you're underestimating the technology you're underestimating the technology you're underestimating the technology cuz you lost everything when you were cuz you lost everything when you were cuz you lost everything when you were exagger. We saw that with IoT. Nobody gave a [ __ ] We saw that with IoT. Nobody gave a [ __ ] about IoT. We see that at 5G right now. about IoT. We see that at 5G right now. about IoT. We see that at 5G right now. Nobody gives a you know donkey's ass Nobody gives a you know donkey's ass Nobody gives a you know donkey's ass about 5G about 5G about 5G and this is stuff this is more real than and this is stuff this is more real than and this is stuff this is more real than anything that we saw on stage either at anything that we saw on stage either at anything that we saw on stage either at Ignite or reinvent or freaking Ignite or reinvent or freaking Ignite or reinvent or freaking you know like um freaking Dream you know like um freaking Dream you know like um freaking Dream Dreamscape or whatever freaking hell Dreamscape or whatever freaking hell Dreamscape or whatever freaking hell >> thing Dream Force >> thing Dream Force >> thing Dream Force >> Forest Dream Force >> Forest Dream Force >> Forest Dream Force >> Dream Force. Here we go. >> Dream Force. Here we go. >> Dream Force. Here we go. >> You know, you know what?

>> You know, you know what? >> You know, you know what? >> By the way, the symbol >> By the way, the symbol >> By the way, the symbol >> birds are go >> birds are go >> birds are go >> policy stuff is more of rapper um just >> policy stuff is more of rapper um just >> policy stuff is more of rapper um just to control the agent, right? And the the to control the agent, right? And the the to control the agent, right? And the the LLM, LLM, LLM, you know, where the symbolic crap, this you know, where the symbolic crap, this you know, where the symbolic crap, this is the pathetic thing. The symbolic crap is the pathetic thing. The symbolic crap is the pathetic thing. The symbolic crap is like agent forces, agent scripts is like agent forces, agent scripts is like agent forces, agent scripts where you're literally building the where you're literally building the where you're literally building the logic into the agent. That's like sort logic into the agent. That's like sort logic into the agent. That's like sort of the poor poor man's workaround for of the poor poor man's workaround for of the poor poor man's workaround for you know neuros symbolic AI and it's you know neuros symbolic AI and it's you know neuros symbolic AI and it's it's a joke because it ends up being it's a joke because it ends up being it's a joke because it ends up being coding and RPA. coding and RPA. coding and RPA. >> I mean it was just like >> I mean it was just like >> I mean it was just like >> Linder needs to start the uh sanity >> Linder needs to start the uh sanity >> Linder needs to start the uh sanity check consulting firm for all of check consulting firm for all of check consulting firm for all of >> it was just like when we discovered that >> it was just like when we discovered that >> it was just like when we discovered that the files are in the computer. But the the funny part is that you know But the the funny part is that you know it really demonstrate that we are very it really demonstrate that we are very it really demonstrate that we are very very far away from a true real AGI very far away from a true real AGI very far away from a true real AGI because if we have to put those layer of because if we have to put those layer of because if we have to put those layer of rules and you know the thing is not rules and you know the thing is not rules and you know the thing is not smart enough to figure out what it smart enough to figure out what it smart enough to figure out what it should say when it should say it should say when it should say it should say when it should say it problem.

problem. problem. >> Yeah. And but here let's say something >> Yeah. And but here let's say something >> Yeah. And but here let's say something nice about generative AI. The thing that nice about generative AI. The thing that nice about generative AI. The thing that works where I think there's a lot of works where I think there's a lot of works where I think there's a lot of potential is with AWS transform you know potential is with AWS transform you know potential is with AWS transform you know basically modernizing stuff using basically modernizing stuff using basically modernizing stuff using generative AI to translate like cobalt generative AI to translate like cobalt generative AI to translate like cobalt you know like so you know like so you know like so >> um cobalt you know like that was like >> um cobalt you know like that was like >> um cobalt you know like that was like one of the things one of the things one of the things >> some tasks. Yeah, >> some tasks. Yeah, >> some tasks. Yeah, >> great. >> great. >> great. >> You know, I I had a cool little use case >> You know, I I had a cool little use case >> You know, I I had a cool little use case that I did and it was just, you know, I that I did and it was just, you know, I that I did and it was just, you know, I had something in front of me that was an had something in front of me that was an had something in front of me that was an Excel spreadsheet for a customer and Excel spreadsheet for a customer and Excel spreadsheet for a customer and they had like a hundred SKs, right? they had like a hundred SKs, right? they had like a hundred SKs, right? >> Yeah. >> Yeah. >> Yeah. >> And I needed to put it into a Word >> And I needed to put it into a Word >> And I needed to put it into a Word document or I have a Word document I document or I have a Word document I document or I have a Word document I need to put into a spreadsheet and need to put into a spreadsheet and need to put into a spreadsheet and categorize by certain columns. I used AI categorize by certain columns. I used AI categorize by certain columns. I used AI to create that and I had it was about to create that and I had it was about to create that and I had it was about 99% correct. had to go in and fix a 99% correct. had to go in and fix a 99% correct. had to go in and fix a couple of things, do some little editing couple of things, do some little editing couple of things, do some little editing here and there, but my gosh, how how how here and there, but my gosh, how how how here and there, but my gosh, how how how much time it saved me to help them so much time it saved me to help them so much time it saved me to help them so they could load their into their they could load their into their they could load their into their e-commerce engine, e-commerce engine, e-commerce engine, >> right? Like >> right? Like >> right? Like so basic.

so basic. so basic. >> There are gazillion fantastic use case. >> There are gazillion fantastic use case. >> There are gazillion fantastic use case. The thing that, you know, we've said on The thing that, you know, we've said on The thing that, you know, we've said on the show several times that we have to the show several times that we have to the show several times that we have to stop thinking of AI as, you know, stop thinking of AI as, you know, stop thinking of AI as, you know, replacing the human intelligence. It's replacing the human intelligence. It's replacing the human intelligence. It's just a fantastic tool and if you use it just a fantastic tool and if you use it just a fantastic tool and if you use it smartly with human intelligence, you can smartly with human intelligence, you can smartly with human intelligence, you can do absolutely great stuff. But if you do absolutely great stuff. But if you do absolutely great stuff. But if you have this kind of fantasy that's going have this kind of fantasy that's going have this kind of fantasy that's going to become super intelligent and I'm to become super intelligent and I'm to become super intelligent and I'm going to be an idiot compared to it. No. going to be an idiot compared to it. No. going to be an idiot compared to it. No. >> Yeah. Yeah. Yeah. Yeah. I mean, nobody >> Yeah. Yeah. Yeah. Yeah. I mean, nobody >> Yeah. Yeah. Yeah. Yeah. I mean, nobody gives a [ __ ] about AGI anymore. As gives a [ __ ] about AGI anymore. As gives a [ __ ] about AGI anymore. As >> by the way, also when when you hear all >> by the way, also when when you hear all >> by the way, also when when you hear all those people saying, "Oh yeah, but now those people saying, "Oh yeah, but now those people saying, "Oh yeah, but now it can solve all math problem." No, he it can solve all math problem." No, he it can solve all math problem." No, he can solve he can solve solve math can solve he can solve solve math can solve he can solve solve math problem. There is no AI that has solved problem. There is no AI that has solved problem. There is no AI that has solved any of the million problems that math any of the million problems that math any of the million problems that math maticians have not solved yet. maticians have not solved yet. maticians have not solved yet. >> No. And that's one example. >> No. And that's one example. >> No. And that's one example. >> And I've said this before, I was using a >> And I've said this before, I was using a >> And I've said this before, I was using a tool to create some web um programming, tool to create some web um programming, tool to create some web um programming, you know, programming a web page and it you know, programming a web page and it you know, programming a web page and it had some math in it and I noticed the had some math in it and I noticed the had some math in it and I noticed the error in the math and I had to correct error in the math and I had to correct error in the math and I had to correct the AI tool and they said, "Yes, you are the AI tool and they said, "Yes, you are the AI tool and they said, "Yes, you are correct. You did not add that up correct. You did not add that up correct. You did not add that up correctly." And so I'm like I knew correctly." And so I'm like I knew correctly." And so I'm like I knew logically that that was not correct and logically that that was not correct and logically that that was not correct and but I told it wasn't correct and they but I told it wasn't correct and they but I told it wasn't correct and they had to recalculate.

had to recalculate. had to recalculate. >> So I was like whoa I thought basic math >> So I was like whoa I thought basic math >> So I was like whoa I thought basic math was should have been math is was should have been math is was should have been math is >> that was like that meme we liked where >> that was like that meme we liked where >> that was like that meme we liked where the person ate the poisonous mushroom the person ate the poisonous mushroom the person ate the poisonous mushroom and died and the AI goes oh I'm wrong and died and the AI goes oh I'm wrong and died and the AI goes oh I'm wrong that's a poisonous mushroom. What a good that's a poisonous mushroom. What a good that's a poisonous mushroom. What a good one. one. one. >> 90% accurate. >> 90% accurate. >> 90% accurate. >> You're going to say you are right but >> You're going to say you are right but >> You're going to say you are right but out of 10 mushrooms are not poisonous. out of 10 mushrooms are not poisonous. out of 10 mushrooms are not poisonous. I want oops my bad. Let me finish. I want oops my bad. Let me finish. I want oops my bad. Let me finish. >> My bad. You're bad. >> My bad. You're bad. >> My bad. You're bad. >> But the other thing that fascinates me >> But the other thing that fascinates me >> But the other thing that fascinates me is that nobody nobody asked this is that nobody nobody asked this is that nobody nobody asked this question is how come this AI is not question is how come this AI is not question is how come this AI is not capable to answer. You ask something say capable to answer. You ask something say capable to answer. You ask something say I don't know. I don't know. I don't know. >> Please say I don't know. >> Please say I don't know. >> Please say I don't know. >> Right. >> Right. >> Right. >> That's what we want. >> That's what we want. >> That's what we want. >> Which is probably the most human smart >> Which is probably the most human smart >> Which is probably the most human smart thing. This is actually now that I think thing. This is actually now that I think thing. This is actually now that I think about it. This is the smartest thing a about it. This is the smartest thing a about it. This is the smartest thing a human can say. You say I don't know if human can say. You say I don't know if human can say. You say I don't know if you legitimately don't know. you legitimately don't know. you legitimately don't know. >> Right there. >> Right there. >> Right there. >> There it is. smartest thing. I hear my >> There it is. smartest thing. I hear my >> There it is. smartest thing. I hear my concern. concern. concern. >> Give me some more time and I will do >> Give me some more time and I will do >> Give me some more time and I will do some research and figure this out. some research and figure this out. some research and figure this out. >> Just go ask another model or or ask my >> Just go ask another model or or ask my >> Just go ask another model or or ask my trainer to train me on this because I trainer to train me on this because I trainer to train me on this because I know No, but I would be smart. It's not know No, but I would be smart. It's not know No, but I would be smart. It's not Oh, you are right.

Oh, you are right. Oh, you are right. >> Yeah. Instead, they put out put out >> Yeah. Instead, they put out put out >> Yeah. Instead, they put out put out whether it's whether it's whether it's >> and the reason they do that is because >> and the reason they do that is because >> and the reason they do that is because obviously the technology is designed so obviously the technology is designed so obviously the technology is designed so that it's a spitting word thing. So it that it's a spitting word thing. So it that it's a spitting word thing. So it Yeah. Yeah. Yeah. >> Yeah. Actually, yeah. I want to go back >> Yeah. Actually, yeah. I want to go back >> Yeah. Actually, yeah. I want to go back to Rob's comment really quick and we got to Rob's comment really quick and we got to Rob's comment really quick and we got to shut this down. Uh, you're right. The to shut this down. Uh, you're right. The to shut this down. Uh, you're right. The policy thing in a in a way for a agent policy thing in a in a way for a agent policy thing in a in a way for a agent is a rules engine, but its purpose is is is a rules engine, but its purpose is is is a rules engine, but its purpose is is weird. It's it's trying to control weird. It's it's trying to control weird. It's it's trying to control something that's non-deterministic. And something that's non-deterministic. And something that's non-deterministic. And usually rules engine has a has a usually rules engine has a has a usually rules engine has a has a decision that it's making. You know what decision that it's making. You know what decision that it's making. You know what I'm saying? It, you know, people people I'm saying? It, you know, people people I'm saying? It, you know, people people are just like sticking so many layers of are just like sticking so many layers of are just like sticking so many layers of lipsticks on this pig. It's lipsticks on this pig. It's lipsticks on this pig. It's unbelievable. And it all costs a [ __ ] unbelievable. And it all costs a [ __ ] unbelievable. And it all costs a [ __ ] ton of tokens. ton of tokens. ton of tokens. >> And there's a good reason to have >> And there's a good reason to have >> And there's a good reason to have rulebased guardrails, which we've been rulebased guardrails, which we've been rulebased guardrails, which we've been using in our companies forever and it using in our companies forever and it using in our companies forever and it works. It's it goes back to stories works. It's it goes back to stories works. It's it goes back to stories you've heard where people when airlines you've heard where people when airlines you've heard where people when airlines or different companies thought they were or different companies thought they were or different companies thought they were cool and they put AI chat bots in there cool and they put AI chat bots in there cool and they put AI chat bots in there and the customers can basically con the and the customers can basically con the and the customers can basically con the AI into giving them refunds or doing all AI into giving them refunds or doing all AI into giving them refunds or doing all this crazy stuff in retailers. And so this crazy stuff in retailers. And so this crazy stuff in retailers. And so they had to put rules around the stupid they had to put rules around the stupid they had to put rules around the stupid AI who can be tricked to say if customer AI who can be tricked to say if customer AI who can be tricked to say if customer credit is less than whatever don't let credit is less than whatever don't let credit is less than whatever don't let them do such and such within this them do such and such within this them do such and such within this boundaries AI will let you do whatever.

boundaries AI will let you do whatever. boundaries AI will let you do whatever. >> Yeah. >> Yeah. >> Yeah. >> But but it's not to exceed. >> But but it's not to exceed. >> But but it's not to exceed. >> The controversial argument here is how >> The controversial argument here is how >> The controversial argument here is how is that different from human societies? is that different from human societies? is that different from human societies? You have a bunch of stupid humans and You have a bunch of stupid humans and You have a bunch of stupid humans and you have to give them a constitution and you have to give them a constitution and you have to give them a constitution and a legal system to not do stupid things. a legal system to not do stupid things. a legal system to not do stupid things. We are fundamentally doing the same. You We are fundamentally doing the same. You We are fundamentally doing the same. You have this AI stuff. We just need to give have this AI stuff. We just need to give have this AI stuff. We just need to give it rules. it rules. it rules. >> But think about it with six sigma. What >> But think about it with six sigma. What >> But think about it with six sigma. What do you do with these process? A lot of do you do with these process? A lot of do you do with these process? A lot of it is just to simplify things and take it is just to simplify things and take it is just to simplify things and take the human out the human error out. Now the human out the human error out. Now the human out the human error out. Now what you everyone is trying to do with what you everyone is trying to do with what you everyone is trying to do with aentic AI is introduce aentic AI is introduce aentic AI is introduce uh a human quality back into um these uh a human quality back into um these uh a human quality back into um these six sigma processes. In other words, six sigma processes. In other words, six sigma processes. In other words, injecting one sigma into six sigma. injecting one sigma into six sigma. injecting one sigma into six sigma. >> The irony. >> The irony. >> The irony. >> But the objectives are different. The >> But the objectives are different. The >> But the objectives are different. The objective of six sigma is quality. The objective of six sigma is quality. The objective of six sigma is quality. The objective of AI is reducing the human objective of AI is reducing the human objective of AI is reducing the human cost. cost. cost. >> I know. Did you think there >> I know. Did you think there >> I know. Did you think there >> you guys see the the speaking of like >> you guys see the the speaking of like >> you guys see the the speaking of like machine learning and did you see the machine learning and did you see the machine learning and did you see the recent things with the um Whimo vehicles recent things with the um Whimo vehicles recent things with the um Whimo vehicles where they it drove right into the where they it drove right into the where they it drove right into the middle of a police standoff?

middle of a police standoff? middle of a police standoff? And in Austin, Texas, where they've got And in Austin, Texas, where they've got And in Austin, Texas, where they've got a lot of stuff going on with Whimo, they a lot of stuff going on with Whimo, they a lot of stuff going on with Whimo, they keep on blowing right through the stop keep on blowing right through the stop keep on blowing right through the stop sign that's pulled out on a school bus sign that's pulled out on a school bus sign that's pulled out on a school bus over and over. over and over. over and over. >> Yeah. But you know what you do? Buy a >> Yeah. But you know what you do? Buy a >> Yeah. But you know what you do? Buy a t-shirt with a stop sign on the back and t-shirt with a stop sign on the back and t-shirt with a stop sign on the back and walk on the No. And seriously, I've seen walk on the No. And seriously, I've seen walk on the No. And seriously, I've seen people do that. You You have a t-shirt people do that. You You have a t-shirt people do that. You You have a t-shirt with a stop sign on your back and you with a stop sign on your back and you with a stop sign on your back and you walk in power with a rainbow. It stops walk in power with a rainbow. It stops walk in power with a rainbow. It stops every It works. every It works. every It works. >> I love it. That is the funniest thing >> I love it. That is the funniest thing >> I love it. That is the funniest thing I've heard. I've heard. I've heard. >> Talk about Stupid thing stops >> Talk about Stupid thing stops >> Talk about Stupid thing stops >> hacking the >> hacking the >> hacking the >> waiters. >> Oh my god, I love that. That's awesome. >> Oh my god, I love that. That's awesome. >> That's awesome. >> That's awesome. >> That's awesome. >> I didn't even think about that, >> I didn't even think about that, >> I didn't even think about that, Dimmitri. That's too funny. Dimmitri. That's too funny. Dimmitri. That's too funny. >> You're going to traffic jams all over >> You're going to traffic jams all over >> You're going to traffic jams all over San Francisco. San Francisco. San Francisco. >> Phone number three is prompt injection. >> Phone number three is prompt injection. >> Phone number three is prompt injection. So So So >> it is prompt injection and it's >> it is prompt injection and it's >> it is prompt injection and it's >> prompt injection. >> prompt injection. >> prompt injection. >> Exactly. SQL injection. Oh, that's all. >> Exactly. SQL injection. Oh, that's all. >> Exactly. SQL injection. Oh, that's all. BS. I love it. We love that BS. I love it. We love that BS. I love it. We love that >> with that. Rob, you want to take us out? >> with that. Rob, you want to take us out? >> with that. Rob, you want to take us out? Thanks so much for joining us here on Thanks so much for joining us here on Thanks so much for joining us here on IoT Coffee Talk. We talked a little bit IoT Coffee Talk. We talked a little bit IoT Coffee Talk. We talked a little bit about IoT. It was really exciting. Don't about IoT. It was really exciting. Don't about IoT. It was really exciting. Don't wear a t-shirt with a stop sign on it wear a t-shirt with a stop sign on it wear a t-shirt with a stop sign on it cuz it will cause the Whimos to stop.

cuz it will cause the Whimos to stop. cuz it will cause the Whimos to stop. It was a big week at AWS reinvent for us It was a big week at AWS reinvent for us It was a big week at AWS reinvent for us and so lots of announcements and we'll and so lots of announcements and we'll and so lots of announcements and we'll be digesting all that kind of stuff. We be digesting all that kind of stuff. We be digesting all that kind of stuff. We gave you a few tidbits. Actually, we did gave you a few tidbits. Actually, we did gave you a few tidbits. Actually, we did hear that technically there is no such hear that technically there is no such hear that technically there is no such thing as open- source AI models anywhere thing as open- source AI models anywhere thing as open- source AI models anywhere on the planet. There's open weights, but on the planet. There's open weights, but on the planet. There's open weights, but not a single one is open source. They're not a single one is open source. They're not a single one is open source. They're all black boxes. You are not privy to all black boxes. You are not privy to all black boxes. You are not privy to the data that was used to make it. And the data that was used to make it. And the data that was used to make it. And many people don't want you to know about many people don't want you to know about many people don't want you to know about the data because then they might get in the data because then they might get in the data because then they might get in trouble when people in law enforcement trouble when people in law enforcement trouble when people in law enforcement find out that they got that data from find out that they got that data from find out that they got that data from illot gains. And so, watch out. Open illot gains. And so, watch out. Open illot gains. And so, watch out. Open weights, not open source. weights, not open source. weights, not open source. Please join us again next week. Who Please join us again next week. Who Please join us again next week. Who knows what we'll talk about? I'm sure knows what we'll talk about? I'm sure knows what we'll talk about? I'm sure it'll be deep and heavy and as we're it'll be deep and heavy and as we're it'll be deep and heavy and as we're diving into the holiday season. Um, hope diving into the holiday season. Um, hope diving into the holiday season. Um, hope everyone's having a lovely time and I am everyone's having a lovely time and I am everyone's having a lovely time and I am so looking forward to driving out to the so looking forward to driving out to the so looking forward to driving out to the Hill Country to see Stephanie. Hill Country to see Stephanie. Hill Country to see Stephanie. >> Awesome. >> Awesome. >> Awesome. >> And hang out in Fredericksburg. >> And hang out in Fredericksburg. >> And hang out in Fredericksburg. >> Yeah. >> Yeah. >> Yeah. >> And then make sure make sure to donate >> And then make sure make sure to donate >> And then make sure make sure to donate to elevate our communities. Elevate to elevate our communities. Elevate to elevate our communities. Elevate communities. Tell me, give us a blurb.

communities. Tell me, give us a blurb. communities. Tell me, give us a blurb. >> Real real quick on Elevate Communities. >> Real real quick on Elevate Communities. >> Real real quick on Elevate Communities. Man, we ran into some some snags with Man, we ran into some some snags with Man, we ran into some some snags with the name because some other name entity the name because some other name entity the name because some other name entity in Texas had that name. So we had to get in Texas had that name. So we had to get in Texas had that name. So we had to get their approval which has to be a legal their approval which has to be a legal their approval which has to be a legal document which has to be hand you know document which has to be hand you know document which has to be hand you know notorized and everything. So that has notorized and everything. So that has notorized and everything. So that has been our hold up for getting everything been our hold up for getting everything been our hold up for getting everything else filed. So hopefully that's in the else filed. So hopefully that's in the else filed. So hopefully that's in the mail and heading my way. Once I get that mail and heading my way. Once I get that mail and heading my way. Once I get that in place I'll get everything officially in place I'll get everything officially in place I'll get everything officially switched over. But you can still check switched over. But you can still check switched over. But you can still check us out at elevatecomunities.org. us out at elevatecomunities.org. us out at elevatecomunities.org. More to come with that. So stay tuned. More to come with that. So stay tuned. More to come with that. So stay tuned. >> Yeah. And you built another site helping >> Yeah. And you built another site helping >> Yeah. And you built another site helping out out there. What was it? Krares or out out there. What was it? Krares or out out there. What was it? Krares or something? something? something? >> Kurkind.org. >> Kurkind.org. >> Kurkind.org. Yeah, they're um starting to process a Yeah, they're um starting to process a Yeah, they're um starting to process a lot of the flood victims uh cases to lot of the flood victims uh cases to lot of the flood victims uh cases to rebuild um get their um families as rebuild um get their um families as rebuild um get their um families as close as they can back to some kind of close as they can back to some kind of close as they can back to some kind of assemblance. assemblance. assemblance. >> Yeah, definitely going to drive out >> Yeah, definitely going to drive out >> Yeah, definitely going to drive out there this weekend as well. Go out to there this weekend as well. Go out to there this weekend as well. Go out to hunt and go along that along the hunt and go along that along the hunt and go along that along the Guadalupe and see what's what.

Guadalupe and see what's what. Guadalupe and see what's what. >> You'll be amazed. They've cleaned up so >> You'll be amazed. They've cleaned up so >> You'll be amazed. They've cleaned up so much, but it's all of the beautiful much, but it's all of the beautiful much, but it's all of the beautiful trees. It's about 80% wiped out. Oh, trees. It's about 80% wiped out. Oh, trees. It's about 80% wiped out. Oh, that's too bad. All right, folks. that's too bad. All right, folks. that's too bad. All right, folks. >> All right, >> All right, >> All right, >> see you on the other side. >> see you on the other side. >> see you on the other side. >> Until next time. Bye. >> Until next time. Bye. >> Until next time. Bye. >> Bye. >> Bye. >> Bye. >> Bye. >> Bye. >> Bye. >> Without >> Without >> Without [Music]