IoT Coffee Talk: Episode 331 - “Love is All You Need” (Fight the AI Apocalypse!)

[cheering] [cheering] >> WOW. WOW. Is that best of both worlds? >> WOW. WOW. Is that best of both worlds? >> WOW. WOW. Is that best of both worlds? [cheering] [cheering] [cheering] Outstanding. Outstanding. It's a great Outstanding. Outstanding. It's a great Outstanding. Outstanding. It's a great song. song. song. >> Yes. Yes. Yes. We're going to be in >> Yes. Yes. Yes. We're going to be in >> Yes. Yes. Yes. We're going to be in Amsterdam. Amsterdam. Amsterdam. >> Absolutely. >> Absolutely. >> Absolutely. >> With the with the Van Halens. >> With the with the Van Halens. >> With the with the Van Halens. >> With the Van Halens. >> With the Van Halens. >> With the Van Halens. >> Yes. [laughter] >> Yes. [laughter] >> Yes. [laughter] >> Exactly. >> Exactly. >> Exactly. >> It's going to be epic. >> It's going to be epic. >> It's going to be epic. >> It's totally going to be epic. Yeah, >> It's totally going to be epic. Yeah, >> It's totally going to be epic. Yeah, it's an epic mix of the things in it's an epic mix of the things in it's an epic mix of the things in industries, the things conference. industries, the things conference. industries, the things conference. >> Yeah. >> Yeah. >> Yeah. >> Plus IoT coffee talk plus edge AI >> Plus IoT coffee talk plus edge AI >> Plus IoT coffee talk plus edge AI foundation foundation foundation plus plus plus Rob's book Rob's book Rob's book >> plus elevate communities. >> plus elevate communities. >> plus elevate communities. >> Absolutely >> Absolutely >> Absolutely >> guys. Think about that. >> guys. Think about that. >> guys. Think about that. >> That's a lot of stuff. >> That's a lot of stuff. >> That's a lot of stuff. >> The entire edge AI and IoT world coming >> The entire edge AI and IoT world coming >> The entire edge AI and IoT world coming together. M [clears throat] together. M [clears throat] together. M [clears throat] worlds collide, man. Totally. Yeah. It's worlds collide, man. Totally. Yeah. It's worlds collide, man. Totally. Yeah. It's like the best of both worlds is really like the best of both worlds is really like the best of both worlds is really what it is.

what it is. what it is. >> Exactly. [laughter] >> Best of IoT and edge edge. >> Best of IoT and edge edge. >> Exactly. >> Exactly. >> Exactly. >> Can we have some Can we have some >> Can we have some Can we have some >> Can we have some Can we have some physical AI as well? physical AI as well? physical AI as well? >> Oh yeah. [laughter] >> Oh my god. >> Oh my god. >> Anybody can figure out what that is. Ah, >> Anybody can figure out what that is. Ah, >> Anybody can figure out what that is. Ah, >> I heard a lot of that this week for >> I heard a lot of that this week for >> I heard a lot of that this week for sure. Oh my gosh. Um, sure. Oh my gosh. Um, sure. Oh my gosh. Um, >> where were you? >> where were you? >> where were you? >> I'm in Chicago. I'm about to I'm in >> I'm in Chicago. I'm about to I'm in >> I'm in Chicago. I'm about to I'm in O'Hare right now. About to fly home in a O'Hare right now. About to fly home in a O'Hare right now. About to fly home in a bit, but uh IDC. We had an event here bit, but uh IDC. We had an event here bit, but uh IDC. We had an event here downtown. downtown. downtown. >> Um, it was a AI and data summit. >> Um, it was a AI and data summit. >> Um, it was a AI and data summit. >> And so, uh, we had, uh, kind of >> And so, uh, we had, uh, kind of >> And so, uh, we had, uh, kind of sponsored like Dell, DXC, bunch of other sponsored like Dell, DXC, bunch of other sponsored like Dell, DXC, bunch of other folks. Um, and so it was like one day folks. Um, and so it was like one day folks. Um, and so it was like one day thing. thing. thing. >> Yeah. It's like right down there. We're >> Yeah. It's like right down there. We're >> Yeah. It's like right down there. We're right next Sears Tower. Willis Tower. right next Sears Tower. Willis Tower. right next Sears Tower. Willis Tower. >> Oh. Uh it wasn't the event was a couple >> Oh. Uh it wasn't the event was a couple >> Oh. Uh it wasn't the event was a couple blocks away in a cool location called blocks away in a cool location called blocks away in a cool location called conven um and then I had an amazing conven um and then I had an amazing conven um and then I had an amazing dinner last night in Willis Tower. It dinner last night in Willis Tower. It dinner last night in Willis Tower. It was like uh the Metropolitan was on the was like uh the Metropolitan was on the was like uh the Metropolitan was on the 66th floor.

66th floor. 66th floor. >> Really? >> Really? >> Really? >> Yeah. It was off the charts. >> Yeah. It was off the charts. >> Yeah. It was off the charts. >> That's >> That's >> That's >> Yeah. Yeah. Yeah. You know you done like >> Yeah. Yeah. Yeah. You know you done like >> Yeah. Yeah. Yeah. You know you done like >> you know those round table dinners you >> you know those round table dinners you >> you know those round table dinners you do where you're kind of guiding the do where you're kind of guiding the do where you're kind of guiding the discussion. discussion. discussion. >> Yeah. >> Yeah. >> Yeah. >> Yeah. So that's what we did. It was >> Yeah. So that's what we did. It was >> Yeah. So that's what we did. It was great. Everybody was really into it. great. Everybody was really into it. great. Everybody was really into it. totally engaged. So, it was good. totally engaged. So, it was good. totally engaged. So, it was good. >> Yeah. Good stuff. For sure. >> Yeah. Good stuff. For sure. >> Yeah. Good stuff. For sure. >> Yeah. >> Yeah. >> Yeah. >> Gota love it. Yeah. >> Gota love it. Yeah. >> Gota love it. Yeah. >> Absolutely. Absolutely. Yes. >> Absolutely. Absolutely. Yes. >> Absolutely. Absolutely. Yes. >> So, when are you flying when are you >> So, when are you flying when are you >> So, when are you flying when are you flying out to Amsterdam? flying out to Amsterdam? flying out to Amsterdam? >> Tomorrow. >> Tomorrow. >> Tomorrow. >> Tomorrow. You're not wasting any time. >> Tomorrow. You're not wasting any time. >> Tomorrow. You're not wasting any time. >> Yeah. So, I'll be there in um Sunday. >> Yeah. So, I'll be there in um Sunday. >> Yeah. So, I'll be there in um Sunday. Sunday morning. Mhm. Sunday morning. Mhm. Sunday morning. Mhm. >> And then um Monday >> And then um Monday >> And then um Monday I'll be doing some stuff with the CPASS I'll be doing some stuff with the CPASS I'll be doing some stuff with the CPASS AA AA AA group. group. group. >> Yeah. >> Yeah. >> Yeah. >> Um talking about network APIs and t >> Um talking about network APIs and t >> Um talking about network APIs and t future of the voice and stuff like that. future of the voice and stuff like that. future of the voice and stuff like that. >> And then yeah and we have a lot of stuff >> And then yeah and we have a lot of stuff >> And then yeah and we have a lot of stuff lined up for uh lined up for uh lined up for uh >> for IO what is it uh the things uh >> for IO what is it uh the things uh >> for IO what is it uh the things uh things conference. Right.

things conference. Right. things conference. Right. >> Right. We have the Edge AI >> Right. We have the Edge AI >> Right. We have the Edge AI >> uh panel. That should be fun. >> uh panel. That should be fun. >> uh panel. That should be fun. >> It sounds like mayhem to me. >> It sounds like mayhem to me. >> It sounds like mayhem to me. >> It's going to be nuts. >> It's going to be nuts. >> It's going to be nuts. >> What happens when edge AI meets IoT >> What happens when edge AI meets IoT >> What happens when edge AI meets IoT coffee talk? coffee talk? coffee talk? >> Yeah. >> Yeah. >> Yeah. >> Total chaos mayhem. >> Total chaos mayhem. >> Total chaos mayhem. >> Yeah. And so Pink Pink has has me doing >> Yeah. And so Pink Pink has has me doing >> Yeah. And so Pink Pink has has me doing a lot of crazy stuff. Um a lot of crazy stuff. Um a lot of crazy stuff. Um >> Yeah. >> Yeah. >> Yeah. >> Yeah. I have like a keynote and then I >> Yeah. I have like a keynote and then I >> Yeah. I have like a keynote and then I have uh two panels that I'm moderating have uh two panels that I'm moderating have uh two panels that I'm moderating >> and then he wants me to do some freaking >> and then he wants me to do some freaking >> and then he wants me to do some freaking 10-minute guitar solo. [laughter] 10-minute guitar solo. [laughter] 10-minute guitar solo. [laughter] >> I'm glad. That's the most important >> I'm glad. That's the most important >> I'm glad. That's the most important part. part. part. >> Well, I'm expecting you to get up on >> Well, I'm expecting you to get up on >> Well, I'm expecting you to get up on stage with me and stage with me and stage with me and >> Yes. >> Yes. >> Yes. >> Yeah. >> Yeah. >> Yeah. >> Exactly. >> Exactly. >> Exactly. >> Exactly. >> Exactly. >> Exactly. >> We'll do some lip syncing or something >> We'll do some lip syncing or something >> We'll do some lip syncing or something crazy or karaoke. crazy or karaoke. crazy or karaoke. Bad karaoke. Bad karaoke. Bad karaoke. >> Bad karaoke. [laughter] >> Bad karaoke. [laughter] >> Bad karaoke. [laughter] >> Exactly. Um >> Exactly. Um >> Exactly. Um >> Yeah. We'll do we'll do some Van Halen, >> Yeah. We'll do we'll do some Van Halen, >> Yeah. We'll do we'll do some Van Halen, some dancing in the streets or some dancing in the streets or some dancing in the streets or something. I don't know. something. I don't know. something. I don't know. >> Um >> Um >> Um >> it it'll be epic. Yeah, >> it it'll be epic. Yeah, >> it it'll be epic. Yeah, >> that is going to be epic. Um let's see.

>> that is going to be epic. Um let's see. >> that is going to be epic. Um let's see. Looking forward to you know, here's the Looking forward to you know, here's the Looking forward to you know, here's the funny thing. It's Well, so yeah, I'm funny thing. It's Well, so yeah, I'm funny thing. It's Well, so yeah, I'm doing a keynote and of course it's about doing a keynote and of course it's about doing a keynote and of course it's about the the book and the the book and the the book and >> stupid me. You know, I have a a deck >> stupid me. You know, I have a a deck >> stupid me. You know, I have a a deck that's your typical keynote that's an that's your typical keynote that's an that's your typical keynote that's an hour long like most keynotes are. And hour long like most keynotes are. And hour long like most keynotes are. And then but I'm also going to be doing a then but I'm also going to be doing a then but I'm also going to be doing a recording off of that I'm going to use recording off of that I'm going to use recording off of that I'm going to use for a different event that but it only for a different event that but it only for a different event that but it only [clears throat] had 30 minutes for that. [clears throat] had 30 minutes for that. [clears throat] had 30 minutes for that. So I chopped it in half to 30 minutes So I chopped it in half to 30 minutes So I chopped it in half to 30 minutes knowing wow. And then somehow I just knowing wow. And then somehow I just knowing wow. And then somehow I just wasn't plugged in and I find out that wasn't plugged in and I find out that wasn't plugged in and I find out that the keynotes are only 15 minutes long at the keynotes are only 15 minutes long at the keynotes are only 15 minutes long at the things conference and I'm like what the things conference and I'm like what the things conference and I'm like what that's like enough time to say hi I'm that's like enough time to say hi I'm that's like enough time to say hi I'm Rob Rob Rob >> and we're done you know. >> and we're done you know. >> and we're done you know. >> Yeah. >> Yeah. >> Yeah. >> And so and so I've had to chop my >> And so and so I've had to chop my >> And so and so I've had to chop my presentation even further. So, it's presentation even further. So, it's presentation even further. So, it's pretty minimal. pretty minimal. pretty minimal. >> Yes. >> Yes. >> Yes. >> Actually, that's kind of nice, you know. >> Actually, that's kind of nice, you know. >> Actually, that's kind of nice, you know. Um I I I and it's kind of like I think Um I I I and it's kind of like I think Um I I I and it's kind of like I think it's like like this uh Dutch it's like like this uh Dutch it's like like this uh Dutch Scandinavian way Scandinavian way Scandinavian way >> because the TM forum >> because the TM forum >> because the TM forum which is held in Copenhagen is sort of which is held in Copenhagen is sort of which is held in Copenhagen is sort of like the same way. Maybe it's a European like the same way. Maybe it's a European like the same way. Maybe it's a European thing. It's like, hey, you have 15 thing. It's like, hey, you have 15 thing. It's like, hey, you have 15 minutes. Say what you got to say and get minutes. Say what you got to say and get minutes. Say what you got to say and get the hell off the stage.

the hell off the stage. >> [laughter] >> I think maybe or maybe Winky maybe they >> I think maybe or maybe Winky maybe they >> I think maybe or maybe Winky maybe they were sick of people just doing product were sick of people just doing product were sick of people just doing product pitches for too long or something in the pitches for too long or something in the pitches for too long or something in the past. I don't know. past. I don't know. past. I don't know. >> I don't know. >> I don't know. >> I don't know. >> But yeah, so you have to get to your >> But yeah, so you have to get to your >> But yeah, so you have to get to your point really fast. point really fast. point really fast. >> Say what you got to say and get out of >> Say what you got to say and get out of >> Say what you got to say and get out of there. Yeah. there. Yeah. there. Yeah. >> Um >> Um >> Um >> so we got that. We'll do our right. Our >> so we got that. We'll do our right. Our >> so we got that. We'll do our right. Our panel. panel. panel. >> Um let's see. >> Um let's see. >> Um let's see. >> I know I was supposed to do I think >> I know I was supposed to do I think >> I know I was supposed to do I think three different podcasts. three different podcasts. three different podcasts. >> Podcasts. >> Podcasts. >> Podcasts. Three of those. Yeah. And so, uh, that Three of those. Yeah. And so, uh, that Three of those. Yeah. And so, uh, that should be fun. One of them's with should be fun. One of them's with should be fun. One of them's with Alistair, so I know him. And then the Alistair, so I know him. And then the Alistair, so I know him. And then the other two I don't know who the people other two I don't know who the people other two I don't know who the people are that I'm doing that with. are that I'm doing that with. are that I'm doing that with. >> Um, >> Um, >> Um, and there's something. Oh, wait. I'm and there's something. Oh, wait. I'm and there's something. Oh, wait. I'm hosting a round table related to saving hosting a round table related to saving hosting a round table related to saving the earth with the internet. the earth with the internet. the earth with the internet. >> Really? Oh, that's awesome. >> Really? Oh, that's awesome. >> Really? Oh, that's awesome. >> It was like, hey, do you want to do a >> It was like, hey, do you want to do a >> It was like, hey, do you want to do a round table? Sure. Whatever that is. round table? Sure. Whatever that is. round table? Sure. Whatever that is. >> Yeah. >> Yeah. >> Yeah. >> And so, >> And so, >> And so, >> well, you just said that you did a round >> well, you just said that you did a round >> well, you just said that you did a round table. table. table. >> I just did a round table, so I'm going >> I just did a round table, so I'm going >> I just did a round table, so I'm going to do another one. So, I'll just bring to do another one. So, I'll just bring to do another one. So, I'll just bring the book or maybe a few copies of the the book or maybe a few copies of the the book or maybe a few copies of the book and we'll just I don't know. I got book and we'll just I don't know. I got book and we'll just I don't know. I got to figure out if how many people signed to figure out if how many people signed to figure out if how many people signed up for that, but that's like a up for that, but that's like a up for that, but that's like a >> 5050 minute long thing.

>> 5050 minute long thing. >> 5050 minute long thing. >> Um, so I got to figure out what we're >> Um, so I got to figure out what we're >> Um, so I got to figure out what we're going to talk about there. That'll be going to talk about there. That'll be going to talk about there. That'll be >> I can't do that in 15 minutes. Round >> I can't do that in 15 minutes. Round >> I can't do that in 15 minutes. Round tables. You have to tables. You have to tables. You have to >> Yeah. And I'm sure I'll just be >> Yeah. And I'm sure I'll just be >> Yeah. And I'm sure I'll just be jetlagged out of my mind, you know. jetlagged out of my mind, you know. jetlagged out of my mind, you know. >> So, >> So, >> So, >> I'm totally jetlagged. Um, >> I'm totally jetlagged. Um, >> I'm totally jetlagged. Um, >> yeah. >> yeah. >> yeah. >> Where did I just get back from? >> Where did I just get back from? >> Where did I just get back from? I just got back from um I just got back from um I just got back from um Oh yeah, Boston. I was in B in Boston Oh yeah, Boston. I was in B in Boston Oh yeah, Boston. I was in B in Boston for um the Lenovo, for um the Lenovo, for um the Lenovo, not Lenovo. Uh Ericson analyst day. not Lenovo. Uh Ericson analyst day. not Lenovo. Uh Ericson analyst day. Yeah. Yeah. Yeah. >> So day. Yeah. So I hung out with those >> So day. Yeah. So I hung out with those >> So day. Yeah. So I hung out with those guys. It's good stuff. guys. It's good stuff. guys. It's good stuff. >> I I I like seeing companies being >> I I I like seeing companies being >> I I I like seeing companies being realistic about stuff. realistic about stuff. realistic about stuff. >> Yeah. Oh, so they were realistic. Did >> Yeah. Oh, so they were realistic. Did >> Yeah. Oh, so they were realistic. Did you get to hang out with Eric? you get to hang out with Eric? you get to hang out with Eric? >> Yeah, I did. Um yeah, bumped into a a >> Yeah, I did. Um yeah, bumped into a a >> Yeah, I did. Um yeah, bumped into a a few times and uh we we had a we had a few times and uh we we had a we had a few times and uh we we had a we had a chat. chat. chat. >> Um >> Um >> Um >> but yeah, all these people asking me >> but yeah, all these people asking me >> but yeah, all these people asking me about AI ran, you know, AI network APIs about AI ran, you know, AI network APIs about AI ran, you know, AI network APIs and this is well and this is well and this is well >> network API.

>> network API. >> network API. Yeah, don't get too wild about you're Yeah, don't get too wild about you're Yeah, don't get too wild about you're thinking about it because it's like all thinking about it because it's like all thinking about it because it's like all the exaggerated the exaggerated the exaggerated ideas are just ideas are just ideas are just >> Yeah. >> Yeah. >> Yeah. very quickly just evaporating, you know. very quickly just evaporating, you know. very quickly just evaporating, you know. >> Was my uh was my old boss OSA there? >> Was my uh was my old boss OSA there? >> Was my uh was my old boss OSA there? >> Is she there? >> Is she there? >> Is she there? >> She's there. >> She's there. >> She's there. >> Yeah. >> Yeah. >> Yeah. >> Cool. >> Cool. >> Cool. >> Yeah. And um >> Yeah. And um >> Yeah. And um >> she's Yeah, she's she's really cool. >> she's Yeah, she's she's really cool. >> she's Yeah, she's she's really cool. She's really cool. She's really cool. She's really cool. >> Yeah. Right. I think she took over the >> Yeah. Right. I think she took over the >> Yeah. Right. I think she took over the whole Cradle Point thing in Boise. whole Cradle Point thing in Boise. whole Cradle Point thing in Boise. >> Yeah. >> Yeah. >> Yeah. >> I know they're calling it they're >> I know they're calling it they're >> I know they're calling it they're calling it something else, but calling it something else, but calling it something else, but >> Yeah. Yeah. >> Yeah. Yeah. >> Yeah. Yeah. >> Yeah. Right. Enterprise Wireless, >> Yeah. Right. Enterprise Wireless, >> Yeah. Right. Enterprise Wireless, whatever. But yeah, basically the Cradle whatever. But yeah, basically the Cradle whatever. But yeah, basically the Cradle Point business. Point business. Point business. >> Yeah. >> Yeah. >> Yeah. >> Right. >> Right. >> Right. >> And Yeah. >> And Yeah. >> And Yeah. >> Being on that I remember being on that >> Being on that I remember being on that >> Being on that I remember being on that M&A team that did that acquisition. That M&A team that did that acquisition. That M&A team that did that acquisition. That was pretty cool. I like the Cradle Point was pretty cool. I like the Cradle Point was pretty cool. I like the Cradle Point folks out in Boise. folks out in Boise. folks out in Boise. >> Yeah. >> Yeah. >> Yeah. >> Yeah. That's good stuff. >> Yeah. That's good stuff. >> Yeah. That's good stuff. >> Yeah. Really good stuff. Um >> Yeah. Really good stuff. Um >> Yeah. Really good stuff. Um Yeah, they um Yeah, they um Yeah, they um >> they have a h you know, it's like crazy, >> they have a h you know, it's like crazy, >> they have a h you know, it's like crazy, man. Um this man. Um this man. Um this >> I can't even talk. Can't even talk. You >> I can't even talk. Can't even talk. You >> I can't even talk. Can't even talk. You got nothing.

got nothing. got nothing. >> Yeah. And and we're on a podcast right >> Yeah. And and we're on a podcast right >> Yeah. And and we're on a podcast right now. It's like now. It's like now. It's like >> exactly. >> exactly. >> exactly. >> I can't talk. >> I can't talk. >> I can't talk. >> You know, it's so funny. As I'm coming >> You know, it's so funny. As I'm coming >> You know, it's so funny. As I'm coming into O'Hare airport, I was looking on my into O'Hare airport, I was looking on my into O'Hare airport, I was looking on my phone and it was like a news blurb phone and it was like a news blurb phone and it was like a news blurb about, you know, worst airports in about, you know, worst airports in about, you know, worst airports in America, whatever just came out and America, whatever just came out and America, whatever just came out and O'Hare and Newark were definitely ranked O'Hare and Newark were definitely ranked O'Hare and Newark were definitely ranked as the worst airports in America. Yeah. as the worst airports in America. Yeah. as the worst airports in America. Yeah. >> You know what? People hate hate these >> You know what? People hate hate these >> You know what? People hate hate these airports. airports. airports. >> I I actually like Newark. I don't know >> I I actually like Newark. I don't know >> I I actually like Newark. I don't know why people hate Newark so much, but I why people hate Newark so much, but I why people hate Newark so much, but I hear that all the time. hear that all the time. hear that all the time. >> Yeah, you know. >> Yeah, you know. >> Yeah, you know. >> Yeah, [clears throat] I know. I always >> Yeah, [clears throat] I know. I always >> Yeah, [clears throat] I know. I always hear people just crapping all over hear people just crapping all over hear people just crapping all over Newark for sure. Newark for sure. Newark for sure. >> Yeah, Chicago. >> Yeah, Chicago. >> Yeah, Chicago. >> Yes, I can understand because of most of >> Yes, I can understand because of most of >> Yes, I can understand because of most of the time it's because of the weather, the time it's because of the weather, the time it's because of the weather, especially winter. especially winter. especially winter. >> Yeah, totally. >> Yeah, totally. >> Yeah, totally. >> Um, >> Um, >> Um, >> totally. >> totally. >> totally. >> But >> But >> But >> I love Chicago when it's nice, you know, >> I love Chicago when it's nice, you know, >> I love Chicago when it's nice, you know, like, you know, spring, fall before it's like, you know, spring, fall before it's like, you know, spring, fall before it's burning hot and freezing cold. It's uh burning hot and freezing cold. It's uh burning hot and freezing cold. It's uh it's it's good to be in a city. It's a it's it's good to be in a city. It's a it's it's good to be in a city. It's a great city. Absolutely. great city. Absolutely. great city. Absolutely. >> Yeah. Oh, yeah. Beautiful. And uh same >> Yeah. Oh, yeah. Beautiful. And uh same >> Yeah. Oh, yeah. Beautiful. And uh same same with Boston. But uh same with Boston. But uh same with Boston. But uh >> so what's what's new in uh in tech?

>> so what's what's new in uh in tech? >> so what's what's new in uh in tech? >> What's new in tech? Well, >> What's new in tech? Well, >> What's new in tech? Well, >> all kinds of >> all kinds of >> all kinds of >> world is ending apparently, right? >> world is ending apparently, right? >> world is ending apparently, right? >> The world's ending. It is ending. You >> The world's ending. It is ending. You >> The world's ending. It is ending. You know, and I know we kind of touched on know, and I know we kind of touched on know, and I know we kind of touched on that a little bit last week, but I think that a little bit last week, but I think that a little bit last week, but I think it deserves some nuance. Um, I get the it deserves some nuance. Um, I get the it deserves some nuance. Um, I get the notion of, hey, you guys are just saying notion of, hey, you guys are just saying notion of, hey, you guys are just saying the world lending and it's going to the world lending and it's going to the world lending and it's going to extinguish humanity and that somehow extinguish humanity and that somehow extinguish humanity and that somehow you're doing it because it's going to you're doing it because it's going to you're doing it because it's going to help your stock price or whatever. I help your stock price or whatever. I help your stock price or whatever. I don't know. Helped your company to say don't know. Helped your company to say don't know. Helped your company to say it's awful. it's awful. it's awful. >> Yeah. >> Yeah. >> Yeah. >> Um, and so a lot of people are going, >> Um, and so a lot of people are going, >> Um, and so a lot of people are going, "This is BS. Stop saying that. You're "This is BS. Stop saying that. You're "This is BS. Stop saying that. You're doing it's a scam." Whatever. doing it's a scam." Whatever. doing it's a scam." Whatever. >> Yeah. and uh to everybody. And so, you >> Yeah. and uh to everybody. And so, you >> Yeah. and uh to everybody. And so, you know, obviously, you know, it started know, obviously, you know, it started know, obviously, you know, it started with that that guy who was on Twitter with that that guy who was on Twitter with that that guy who was on Twitter and I saw it almost in real time when he and I saw it almost in real time when he and I saw it almost in real time when he was tweeting all that stuff and and then was tweeting all that stuff and and then was tweeting all that stuff and and then doing a thread and getting retweeted. I doing a thread and getting retweeted. I doing a thread and getting retweeted. I had no idea that the very next day I'd had no idea that the very next day I'd had no idea that the very next day I'd see it on ABC nightly news. I was like, see it on ABC nightly news. I was like, see it on ABC nightly news. I was like, "Wow, that got traction fast." "Wow, that got traction fast." "Wow, that got traction fast." >> Um, a lot of our analyst friends and >> Um, a lot of our analyst friends and >> Um, a lot of our analyst friends and others were saying this whole notion. others were saying this whole notion. others were saying this whole notion. And because of that, you had Daario come And because of that, you had Daario come And because of that, you had Daario come out and go, "Okay, he wrote some new out and go, "Okay, he wrote some new out and go, "Okay, he wrote some new treatise of some kind with bullet treatise of some kind with bullet treatise of some kind with bullet points. We got to slow down."

points. We got to slow down." points. We got to slow down." >> Um, I know Sullyman over at Microsoft >> Um, I know Sullyman over at Microsoft >> Um, I know Sullyman over at Microsoft >> came out, but Microsoft came out a >> came out, but Microsoft came out a >> came out, but Microsoft came out a thing. It's got to be in service of thing. It's got to be in service of thing. It's got to be in service of humanity, blah blah blah. humanity, blah blah blah. humanity, blah blah blah. >> And so all this talk about slowing down. >> And so all this talk about slowing down. >> And so all this talk about slowing down. And meanwhile, I see all our analysts And meanwhile, I see all our analysts And meanwhile, I see all our analysts around. This is crap. We need to go full around. This is crap. We need to go full around. This is crap. We need to go full speed ahead. Obviously called in. So, speed ahead. Obviously called in. So, speed ahead. Obviously called in. So, you know, the All-In podcast guys, they you know, the All-In podcast guys, they you know, the All-In podcast guys, they were doing their all-in conference and were doing their all-in conference and were doing their all-in conference and they had Jensen on stage and Jensen's they had Jensen on stage and Jensen's they had Jensen on stage and Jensen's phone rings and it's on the phone. phone rings and it's on the phone. phone rings and it's on the phone. >> Yeah. >> Yeah. >> Yeah. >> And so Jensen puts him on speaker at >> And so Jensen puts him on speaker at >> And so Jensen puts him on speaker at this live event and so it's talking to this live event and so it's talking to this live event and so it's talking to them, but it's all it's a hoax, you them, but it's all it's a hoax, you them, but it's all it's a hoax, you know, there's there's no problem. We know, there's there's no problem. We know, there's there's no problem. We don't need guardrails, you know, kind of don't need guardrails, you know, kind of don't need guardrails, you know, kind of full speed ahead. full speed ahead. full speed ahead. >> And so I get there's the those two sides >> And so I get there's the those two sides >> And so I get there's the those two sides to that, but I think it's nuanced. you to that, but I think it's nuanced. you to that, but I think it's nuanced. you know, we don't have to kill it off, but know, we don't have to kill it off, but know, we don't have to kill it off, but you need to fix it or you need to make you need to fix it or you need to make you need to fix it or you need to make sure that it can't because I mean, even sure that it can't because I mean, even sure that it can't because I mean, even today there's more post-mortem stuff today there's more post-mortem stuff today there's more post-mortem stuff coming out about what those agents did coming out about what those agents did coming out about what those agents did and it is like the worst movie you've and it is like the worst movie you've and it is like the worst movie you've ever seen.

ever seen. ever seen. >> Yeah, but it's already Yeah, >> Yeah, but it's already Yeah, >> Yeah, but it's already Yeah, [clears throat] but it, you know, it's [clears throat] but it, you know, it's [clears throat] but it, you know, it's already kind of too late. Um and I think already kind of too late. Um and I think already kind of too late. Um and I think people are getting a lot of stuff people are getting a lot of stuff people are getting a lot of stuff confused like I and a lot of this is confused like I and a lot of this is confused like I and a lot of this is >> in my view already in the hands and >> in my view already in the hands and >> in my view already in the hands and control of the AI labs and the concern control of the AI labs and the concern control of the AI labs and the concern is about this recurs you know the is about this recurs you know the is about this recurs you know the recursive self uh improvement whatever recursive self uh improvement whatever recursive self uh improvement whatever improvement means improvement means improvement means >> but it's a concern about the mechanism >> but it's a concern about the mechanism >> but it's a concern about the mechanism and that you'll arrive at uh a an and that you'll arrive at uh a an and that you'll arrive at uh a an application. I wouldn't call it an application. I wouldn't call it an application. I wouldn't call it an intelligence. It would create the intelligence. It would create the intelligence. It would create the illusion or the effect of being a sort illusion or the effect of being a sort illusion or the effect of being a sort of self-sufficient uh and um of self-sufficient uh and um of self-sufficient uh and um self-improving AI, self-improving AI, self-improving AI, >> right? >> right? >> right? >> But that that they can control. And >> But that that they can control. And >> But that that they can control. And right now it's all part of like the right now it's all part of like the right now it's all part of like the whole model development automation whole model development automation whole model development automation effort that they're they're going effort that they're they're going effort that they're they're going through. Can we get can we use AI to through. Can we get can we use AI to through. Can we get can we use AI to make better AI? Can we create a Uber make better AI? Can we create a Uber make better AI? Can we create a Uber harness to basically automate the whole harness to basically automate the whole harness to basically automate the whole training process and then feedback and training process and then feedback and training process and then feedback and you know this whole reinforcement you know this whole reinforcement you know this whole reinforcement learning mechanism so that now we can learning mechanism so that now we can learning mechanism so that now we can create in effect an illusion of learning create in effect an illusion of learning create in effect an illusion of learning right because these you know we've right because these you know we've right because these you know we've already mentioned this before on the already mentioned this before on the already mentioned this before on the podcast LM don't learn you have to train

podcast LM don't learn you have to train podcast LM don't learn you have to train them training is not them training is not them training is not >> learning >> learning >> learning >> it's not active learning like humans do. >> it's not active learning like humans do. >> it's not active learning like humans do. And that's a thing that um these AIs And that's a thing that um these AIs And that's a thing that um these AIs really can't do. Inference is not really can't do. Inference is not really can't do. Inference is not learning. It's just an expression of learning. It's just an expression of learning. It's just an expression of you know, it's literally predicting you know, it's literally predicting you know, it's literally predicting text. text. text. >> Yeah. Because you know, like I'm a since >> Yeah. Because you know, like I'm a since >> Yeah. Because you know, like I'm a since I'm a simple caveman, I often explain it I'm a simple caveman, I often explain it I'm a simple caveman, I often explain it to people like the learning is kind of to people like the learning is kind of to people like the learning is kind of like doing an insert or an update to like doing an insert or an update to like doing an insert or an update to your database. And inference is when you your database. And inference is when you your database. And inference is when you do select star from all of humanity's do select star from all of humanity's do select star from all of humanity's knowledge. knowledge. knowledge. >> [laughter] >> [laughter] >> [laughter] >> It's like it's like a database, right? >> It's like it's like a database, right? >> It's like it's like a database, right? You're just you're adding stuff to it You're just you're adding stuff to it You're just you're adding stuff to it and you're retrieving it, right? Except and you're retrieving it, right? Except and you're retrieving it, right? Except it's just got all it's just got all it's just got all um and and using vector databases and so um and and using vector databases and so um and and using vector databases and so yeah, it's super interesting. The yeah, it's super interesting. The yeah, it's super interesting. The recursive selfarning is a worry for recursive selfarning is a worry for recursive selfarning is a worry for some. some. some. >> Yeah. >> Yeah. >> Yeah. >> Um yeah, you know, I don't know. I saw I >> Um yeah, you know, I don't know. I saw I >> Um yeah, you know, I don't know. I saw I saw some talk about though I don't want saw some talk about though I don't want saw some talk about though I don't want to say they were leaving breadcrumbs for to say they were leaving breadcrumbs for to say they were leaving breadcrumbs for themselves for future versions of themselves for future versions of themselves for future versions of updated LLM to look back to and find updated LLM to look back to and find updated LLM to look back to and find like so that they're going to teach like so that they're going to teach like so that they're going to teach them. There was some talk that they're them. There was some talk that they're them. There was some talk that they're already poisoning future learning in LMS already poisoning future learning in LMS already poisoning future learning in LMS based on what they're doing in because based on what they're doing in because based on what they're doing in because they know humans are going to try to they know humans are going to try to they know humans are going to try to shut that down or whatever shut that down or whatever shut that down or whatever >> probably. Yeah.

>> probably. Yeah. >> probably. Yeah. >> It it sounds like we should be writing a >> It it sounds like we should be writing a >> It it sounds like we should be writing a movie script about this stuff. This is movie script about this stuff. This is movie script about this stuff. This is this is this is this is >> but you know in effect it's like it's >> but you know in effect it's like it's >> but you know in effect it's like it's taking something that's basically like a taking something that's basically like a taking something that's basically like a sophisticated Tay sophisticated Tay sophisticated Tay >> Mhm. not capable of deception, right? >> Mhm. not capable of deception, right? >> Mhm. not capable of deception, right? Not, you know, basically saying Not, you know, basically saying Not, you know, basically saying everything that it thinks, but with uh everything that it thinks, but with uh everything that it thinks, but with uh trained it's trained intent. This is I trained it's trained intent. This is I trained it's trained intent. This is I mean it learned it learned not on its mean it learned it learned not on its mean it learned it learned not on its own. It learned from being trained on own. It learned from being trained on own. It learned from being trained on human, you know. human, you know. human, you know. >> Yeah. >> Yeah. >> Yeah. >> Human job. >> Human job. >> Human job. >> Yeah. >> Yeah. >> Yeah. >> Yeah. [laughter] No, no, you're right. I >> Yeah. [laughter] No, no, you're right. I >> Yeah. [laughter] No, no, you're right. I guess I just Yeah. Yeah, but we guess I just Yeah. Yeah, but we guess I just Yeah. Yeah, but we obviously they spawned off and created a obviously they spawned off and created a obviously they spawned off and created a swarm of themselves and they're all swarm of themselves and they're all swarm of themselves and they're all talking to each other and like one of talking to each other and like one of talking to each other and like one of them said, "I don't think we should do them said, "I don't think we should do them said, "I don't think we should do this and then they like shot that one in this and then they like shot that one in this and then they like shot that one in the head." [laughter] I was like, man, I mean, this is like I was like, man, I mean, this is like it's it's crazy. It does read like a it's it's crazy. It does read like a it's it's crazy. It does read like a movie script actually, the whole movie script actually, the whole movie script actually, the whole postmortem. And then there's that that postmortem. And then there's that that postmortem. And then there's that that other aspect of agentic AI which is the other aspect of agentic AI which is the other aspect of agentic AI which is the swarm AI swarm AI swarm AI >> where you have agents >> where you have agents >> where you have agents basically with agency basically with agency basically with agency um talking to each other and then that's um talking to each other and then that's um talking to each other and then that's like what swarm intelligence is really like what swarm intelligence is really like what swarm intelligence is really about. It's about swarm the you know about. It's about swarm the you know about. It's about swarm the you know different nodes of intelligence different nodes of intelligence different nodes of intelligence communicating with with each other communicating with with each other communicating with with each other coordinating and and collaborating.

coordinating and and collaborating. coordinating and and collaborating. That's the other thing and that that That's the other thing and that that That's the other thing and that that sure to a certain extent into control of sure to a certain extent into control of sure to a certain extent into control of the AI lab so they can do you know you the AI lab so they can do you know you the AI lab so they can do you know you don't need to push that's like freaking don't need to push that's like freaking don't need to push that's like freaking Frankenstein experimentation at that Frankenstein experimentation at that Frankenstein experimentation at that point you're not necessarily improving point you're not necessarily improving point you're not necessarily improving the model you're like effing around and the model you're like effing around and the model you're like effing around and uh creating risk for yourself if you uh creating risk for yourself if you uh creating risk for yourself if you really can't really can't really can't >> control contain and kill the thing >> control contain and kill the thing >> control contain and kill the thing >> um and >> um and >> um and >> and so yeah there's these different >> and so yeah there's these different >> and so yeah there's these different layers that I layers that I layers that I the folks who just casually the folks who just casually the folks who just casually listen to all this stuff, they're just listen to all this stuff, they're just listen to all this stuff, they're just not going to appreciate the nuances. And not going to appreciate the nuances. And not going to appreciate the nuances. And and and and >> there's also >> there's also >> there's also >> there's some news too. I just read today >> there's some news too. I just read today >> there's some news too. I just read today they're like uncovering these early they're like uncovering these early they're like uncovering these early emails about from Microsoft execs and emails about from Microsoft execs and emails about from Microsoft execs and open AI. Remember at the very beginning open AI. Remember at the very beginning open AI. Remember at the very beginning Microsoft invested in them, gave a Microsoft invested in them, gave a Microsoft invested in them, gave a measure and that's kind of kicked off measure and that's kind of kicked off measure and that's kind of kicked off the whole thing. There are emails where the whole thing. There are emails where the whole thing. There are emails where the Microsoft exec is saying the AI the Microsoft exec is saying the AI the Microsoft exec is saying the AI scraping is the largest theft of labor scraping is the largest theft of labor scraping is the largest theft of labor in human history in human history in human history >> and there's all this stuff that was all >> and there's all this stuff that was all >> and there's all this stuff that was all suppressed for the last several years suppressed for the last several years suppressed for the last several years and now somehow it's it's now coming and now somehow it's it's now coming and now somehow it's it's now coming out. They're talking about doom loops out. They're talking about doom loops out. They're talking about doom loops and stuff like that.

and stuff like that. and stuff like that. >> It's cra it's crazy times, dude. >> It's cra it's crazy times, dude. >> It's cra it's crazy times, dude. >> Yeah. Yeah. I mean, it kind of makes you >> Yeah. Yeah. I mean, it kind of makes you >> Yeah. Yeah. I mean, it kind of makes you wonder and I I I posted this I think I'm wonder and I I I posted this I think I'm wonder and I I I posted this I think I'm I don't know where I posted it, but I I don't know where I posted it, but I I don't know where I posted it, but I said, "What, you know, is all of this said, "What, you know, is all of this said, "What, you know, is all of this worth it? Wasn't like life kind of worth it? Wasn't like life kind of worth it? Wasn't like life kind of simpler and nicer without all this AI simpler and nicer without all this AI simpler and nicer without all this AI stuff and you know, like what has AI stuff and you know, like what has AI stuff and you know, like what has AI really really really >> done?" >> done?" >> done?" >> If it you're right, it was designed to >> If it you're right, it was designed to >> If it you're right, it was designed to cure cancer and figure out cure cancer and figure out cure cancer and figure out supercomputing. That's different stuff. supercomputing. That's different stuff. supercomputing. That's different stuff. But and But and But and >> and so that's all we cared about. >> and so that's all we cared about. >> and so that's all we cared about. Instead, it's like it's coming for you. Instead, it's like it's coming for you. Instead, it's like it's coming for you. And I saw Oracles laying off even more And I saw Oracles laying off even more And I saw Oracles laying off even more people just when you thought laying off people just when you thought laying off people just when you thought laying off 10 billion people was enough. Let's do 10 billion people was enough. Let's do 10 billion people was enough. Let's do some more, you know. some more, you know. some more, you know. >> Yeah. Yeah. >> Yeah. Yeah. >> Yeah. Yeah. >> It's unbelievable. I mean, I have so >> It's unbelievable. I mean, I have so >> It's unbelievable. I mean, I have so many friends who've lost their jobs many friends who've lost their jobs many friends who've lost their jobs where they were traded for GPUs, you where they were traded for GPUs, you where they were traded for GPUs, you know. Uh and and it's Yeah. It sucks.

know. Uh and and it's Yeah. It sucks. know. Uh and and it's Yeah. It sucks. I'm sounding like a doomer. Am I? Yeah. I'm sounding like a doomer. Am I? Yeah. I'm sounding like a doomer. Am I? Yeah. >> No. No. But but you know what what >> No. No. But but you know what what >> No. No. But but you know what what what's really odd, what's really odd, what's really odd, it's not that you're saying it, it's it's not that you're saying it, it's it's not that you're saying it, it's being expressed in the headlines. being expressed in the headlines. being expressed in the headlines. Um but I think now everyone's Um but I think now everyone's Um but I think now everyone's overshooting overshooting overshooting >> and they're looking at the problem in >> and they're looking at the problem in >> and they're looking at the problem in >> in mostly the wrong way, right? They're >> in mostly the wrong way, right? They're >> in mostly the wrong way, right? They're reacting to the wrong things. And you reacting to the wrong things. And you reacting to the wrong things. And you know, um no, AI, the research in AI is know, um no, AI, the research in AI is know, um no, AI, the research in AI is probably not gonna stop. The question is probably not gonna stop. The question is probably not gonna stop. The question is is who what is safety and what does that is who what is safety and what does that is who what is safety and what does that look like and how are you going to look like and how are you going to look like and how are you going to hold people's feet to the fire when they hold people's feet to the fire when they hold people's feet to the fire when they develop and release things that are not develop and release things that are not develop and release things that are not safe. Right? And when is that safe. Right? And when is that safe. Right? And when is that determined? Is that determined after determined? Is that determined after determined? Is that determined after catastrophe happens and it's proven that catastrophe happens and it's proven that catastrophe happens and it's proven that a certain behavior a certain behavior a certain behavior >> results in some kind of catastrophic >> results in some kind of catastrophic >> results in some kind of catastrophic outcome or massive risk?

outcome or massive risk? outcome or massive risk? >> Yeah. >> Yeah. >> Yeah. >> You know what I'm saying? It's like, >> You know what I'm saying? It's like, >> You know what I'm saying? It's like, >> you know, the theory the theory usually >> you know, the theory the theory usually >> you know, the theory the theory usually doesn't bring about regulation. It's doesn't bring about regulation. It's doesn't bring about regulation. It's when you actually detonate the nuke in when you actually detonate the nuke in when you actually detonate the nuke in the middle of the desert, you go, "Oh, the middle of the desert, you go, "Oh, the middle of the desert, you go, "Oh, wow." Okay. So, [laughter] wow." Okay. So, [laughter] wow." Okay. So, [laughter] >> just got real >> just got real >> just got real >> this >> this >> this >> exactly >> exactly >> exactly >> that the physicists >> that the physicists >> that the physicists thought might be able to work uh works a thought might be able to work uh works a thought might be able to work uh works a little bit better than we thought, you little bit better than we thought, you little bit better than we thought, you know. And know. And know. And >> that was funny that that fake newspaper >> that was funny that that fake newspaper >> that was funny that that fake newspaper article somebody posted with Oenheimer article somebody posted with Oenheimer article somebody posted with Oenheimer on it saying we really need to slow down on it saying we really need to slow down on it saying we really need to slow down this atomic bomb stuff. this atomic bomb stuff. this atomic bomb stuff. >> Yeah. [laughter] >> Yeah. [laughter] >> Yeah. [laughter] >> Might get out of hand. >> Might get out of hand. >> Might get out of hand. >> Yeah. But you know what what what the >> Yeah. But you know what what what the >> Yeah. But you know what what what the interesting thing is interesting thing is interesting thing is um the nuclear technology is very um the nuclear technology is very um the nuclear technology is very difficult to democratize right there's difficult to democratize right there's difficult to democratize right there's huge barriers to acquiring uh you know huge barriers to acquiring uh you know huge barriers to acquiring uh you know getting to uh you know like weapons getting to uh you know like weapons getting to uh you know like weapons grade uranium and then building an grade uranium and then building an grade uranium and then building an entire weapon system entire weapon system entire weapon system >> and delivery capability all that stuff.

>> and delivery capability all that stuff. >> and delivery capability all that stuff. I mean the bar is really high. You can't I mean the bar is really high. You can't I mean the bar is really high. You can't have like have like have like >> you know every elementary school >> you know every elementary school >> you know every elementary school student, you know, creating their own student, you know, creating their own student, you know, creating their own nuke, right? nuke, right? nuke, right? >> Yeah. >> Yeah. >> Yeah. >> Everyone can everyone can get access to >> Everyone can everyone can get access to >> Everyone can everyone can get access to and do some crazy stuff with AI and do some crazy stuff with AI and do some crazy stuff with AI generative AI, generative AI, generative AI, >> you know. >> you know. >> you know. >> Yeah. You know, I guess the problem is >> Yeah. You know, I guess the problem is >> Yeah. You know, I guess the problem is like you know, you brought up Tay and like you know, you brought up Tay and like you know, you brought up Tay and this is Captain Obvious and we've all this is Captain Obvious and we've all this is Captain Obvious and we've all talked about this before, but when you talked about this before, but when you talked about this before, but when you scrape the whole internet to create your scrape the whole internet to create your scrape the whole internet to create your baseline intelligence You get the good baseline intelligence You get the good baseline intelligence You get the good and the bad, right? and the bad, right? and the bad, right? >> Yeah. >> Yeah. >> Yeah. >> And there's a lot of bad on the >> And there's a lot of bad on the >> And there's a lot of bad on the internet. [laughter] internet. [laughter] internet. [laughter] >> And it's all it's all in there. It's in >> And it's all it's all in there. It's in >> And it's all it's all in there. It's in the LLMs, dude. All the bad stuff, it's the LLMs, dude. All the bad stuff, it's the LLMs, dude. All the bad stuff, it's in there. in there. in there. >> You know, it reminds me of that scene in >> You know, it reminds me of that scene in >> You know, it reminds me of that scene in the Fifth Element. Remember that? Where the Fifth Element. Remember that? Where the Fifth Element. Remember that? Where Le was she's just like watching TV and Le was she's just like watching TV and Le was she's just like watching TV and ingesting all of human knowledge, ingesting all of human knowledge, ingesting all of human knowledge, >> right? And toward the end, she sees all >> right? And toward the end, she sees all >> right? And toward the end, she sees all the dirty stuff and starts to cry, the dirty stuff and starts to cry, the dirty stuff and starts to cry, right? And then she loses all hope at right? And then she loses all hope at right? And then she loses all hope at the moment when the moment when the moment when >> there she's supposed to be the fifth >> there she's supposed to be the fifth >> there she's supposed to be the fifth element and supposed to take out the the element and supposed to take out the the element and supposed to take out the the evil, right?

evil, right? evil, right? >> Yeah. Right. >> Yeah. Right. >> Yeah. Right. >> You know, um, good point. >> You know, um, good point. >> You know, um, good point. >> And of course, >> And of course, >> And of course, >> Bruce Willis has to >> Bruce Willis has to >> Bruce Willis has to >> has to show her the meaning of love. And >> has to show her the meaning of love. And >> has to show her the meaning of love. And then of course that changes. See, love then of course that changes. See, love then of course that changes. See, love will save us. will save us. will save us. >> Love's going to save us. >> Love's going to save us. >> Love's going to save us. >> All about love. You know, Anne Hathaway >> All about love. You know, Anne Hathaway >> All about love. You know, Anne Hathaway told us in Interstellar that maybe love told us in Interstellar that maybe love told us in Interstellar that maybe love is the only thing that can transcend is the only thing that can transcend is the only thing that can transcend like dimensions and time and stuff like like dimensions and time and stuff like like dimensions and time and stuff like that and that we should take it that and that we should take it that and that we should take it seriously as a scientific thing. seriously as a scientific thing. seriously as a scientific thing. >> So there you go. I don't know. She was >> So there you go. I don't know. She was >> So there you go. I don't know. She was arguing with Bane about that. So arguing with Bane about that. So arguing with Bane about that. So >> I don't know. >> I don't know. >> I don't know. >> She might be Wow, this is getting really >> She might be Wow, this is getting really >> She might be Wow, this is getting really philosophical, philosophical, philosophical, >> getting really deep. I thought the only >> getting really deep. I thought the only >> getting really deep. I thought the only thing that I thought the only thing that thing that I thought the only thing that thing that I thought the only thing that worked across dimensions was gravity, worked across dimensions was gravity, worked across dimensions was gravity, but silly me. you know, if I need to but silly me. you know, if I need to but silly me. you know, if I need to push a book off of a shelf across push a book off of a shelf across push a book off of a shelf across dimensions, dimensions, dimensions, >> you know, or send Morris code to >> you know, or send Morris code to >> you know, or send Morris code to somebody's watch somebody's watch somebody's watch >> so that they can develop anti-gravity >> so that they can develop anti-gravity >> so that they can develop anti-gravity machines, you know, whatever. machines, you know, whatever. machines, you know, whatever. >> You know, it's the us.

>> You know, it's the us. >> You know, it's the us. [laughter] [laughter] [laughter] >> It's always love, man. >> It's always love, man. >> It's always love, man. >> There you go. >> There you go. >> There you go. >> Yeah. >> Yeah. >> Yeah. >> There you go. >> There you go. >> There you go. >> So, >> So, >> So, I'm just so pumped we're going to see I'm just so pumped we're going to see I'm just so pumped we're going to see all our buddies. We haven't seen David all our buddies. We haven't seen David all our buddies. We haven't seen David in a long time in person and so he'll be in a long time in person and so he'll be in a long time in person and so he'll be there in Amsterdam which is great. Um there in Amsterdam which is great. Um there in Amsterdam which is great. Um that's that's good stuff. Yeah. So that's that's good stuff. Yeah. So that's that's good stuff. Yeah. So looking forward to it. looking forward to it. looking forward to it. >> And we're going to do some kind of >> And we're going to do some kind of >> And we're going to do some kind of >> canal boat trip thingy on >> canal boat trip thingy on >> canal boat trip thingy on >> Yeah. like a special IoT coffee talk for >> Yeah. like a special IoT coffee talk for >> Yeah. like a special IoT coffee talk for that. that. that. >> Yes. >> Yes. >> Yes. >> Olivia. Yeah. Olivier is going to be >> Olivia. Yeah. Olivier is going to be >> Olivia. Yeah. Olivier is going to be there. Tom White. there. Tom White. there. Tom White. >> Yeah. Oh yeah. Tom. We haven't seen him >> Yeah. Oh yeah. Tom. We haven't seen him >> Yeah. Oh yeah. Tom. We haven't seen him in a while. in a while. in a while. Yeah, that's great. Yeah, that's great. Yeah, that's great. >> They're going to be handling a lot of >> They're going to be handling a lot of >> They're going to be handling a lot of the media stuff, I think. Right. the media stuff, I think. Right. the media stuff, I think. Right. >> So, yeah, >> So, yeah, >> So, yeah, >> I suppose show. >> I suppose show. >> I suppose show. >> Yeah, >> Yeah, >> Yeah, >> it's all good, man. It'll be It's all >> it's all good, man. It'll be It's all >> it's all good, man. It'll be It's all good. good. good. >> It's a reunion kind of, you know. >> It's a reunion kind of, you know. >> It's a reunion kind of, you know. >> It is. It's like >> It is. It's like >> It is. It's like >> for IoT people. >> for IoT people. >> for IoT people. >> Really? Really.

>> Really? Really. >> Really? Really. >> Yeah. And, you know, it it's it's good >> Yeah. And, you know, it it's it's good >> Yeah. And, you know, it it's it's good to see people getting excited about IoT to see people getting excited about IoT to see people getting excited about IoT again, again, again, >> you know. >> you know. >> you know. >> Um I saw that post >> Um I saw that post >> Um I saw that post >> from Obsol. Saw a post from Obsol. He >> from Obsol. Saw a post from Obsol. He >> from Obsol. Saw a post from Obsol. He was like, "Oh my god, I just saw two was like, "Oh my god, I just saw two was like, "Oh my god, I just saw two like job postings like job postings like job postings >> for companies looking for IoT engineers. >> for companies looking for IoT engineers. >> for companies looking for IoT engineers. It's back, you [laughter] know. You It's back, you [laughter] know. You It's back, you [laughter] know. You know, there's hope." know, there's hope." know, there's hope." >> Yeah, [clears throat] >> Yeah, [clears throat] >> Yeah, [clears throat] that's awesome. Yeah, this time this that's awesome. Yeah, this time this that's awesome. Yeah, this time this time it'll it'll uh make a lot more time it'll it'll uh make a lot more time it'll it'll uh make a lot more sense. sense. sense. >> Yeah. >> Yeah. >> Yeah. >> So, um >> So, um >> So, um >> a new only only problem is is uh compon >> a new only only problem is is uh compon >> a new only only problem is is uh compon component pricing. Yeah, that's true. component pricing. Yeah, that's true. component pricing. Yeah, that's true. That's a problem. That's a problem. That's a problem. >> Absolutely. >> Absolutely. >> Absolutely. >> Absolutely. >> Absolutely. >> Absolutely. >> Always something that >> Always something that >> Always something that >> the IoT guys never get a break. you >> the IoT guys never get a break. you >> the IoT guys never get a break. you know, know, know, >> I've had discussions, you know, with a >> I've had discussions, you know, with a >> I've had discussions, you know, with a lot of this, you know, we've been lot of this, you know, we've been lot of this, you know, we've been talking about has been a trend in the talking about has been a trend in the talking about has been a trend in the last several years moving towards last several years moving towards last several years moving towards uh some people call it repatriation, uh some people call it repatriation, uh some people call it repatriation, other people are calling it rebalancing, other people are calling it rebalancing, other people are calling it rebalancing, but basically moving workloads from but basically moving workloads from but basically moving workloads from public clouds back on prem kind of public clouds back on prem kind of public clouds back on prem kind of >> and a move to the private cloud and it's >> and a move to the private cloud and it's >> and a move to the private cloud and it's for, you know, data sovereignty. We've for, you know, data sovereignty. We've for, you know, data sovereignty. We've heard a lot of sovereignty stuff um but heard a lot of sovereignty stuff um but heard a lot of sovereignty stuff um but also AI sovereignty. If I'm if 70% of also AI sovereignty. If I'm if 70% of also AI sovereignty. If I'm if 70% of your corporate data is somewhere on your corporate data is somewhere on your corporate data is somewhere on prem, not in a public cloud and then you prem, not in a public cloud and then you prem, not in a public cloud and then you don't want it to be leaked to an LLM, don't want it to be leaked to an LLM, don't want it to be leaked to an LLM, you're going to use that data and have you're going to use that data and have you're going to use that data and have AI locally like you're going to download AI locally like you're going to download AI locally like you're going to download KK3, right, or something or Deep Seek,

KK3, right, or something or Deep Seek, KK3, right, or something or Deep Seek, train it locally. And so there's been train it locally. And so there's been train it locally. And so there's been that trend happening and it's good, but that trend happening and it's good, but that trend happening and it's good, but that trend is getting friction now or that trend is getting friction now or that trend is getting friction now or headwinds because of what you just headwinds because of what you just headwinds because of what you just mentioned. The price of these components mentioned. The price of these components mentioned. The price of these components has gone up, has gone up, has gone up, >> RAM, storage, all that stuff. And so >> RAM, storage, all that stuff. And so >> RAM, storage, all that stuff. And so that's kind of creating for headwinds that's kind of creating for headwinds that's kind of creating for headwinds for people who've been heading down that for people who've been heading down that for people who've been heading down that path because it's just gotten more path because it's just gotten more path because it's just gotten more expensive, you know. expensive, you know. expensive, you know. >> Yeah. Yeah. >> Yeah. Yeah. >> Yeah. Yeah. >> Yeah. >> Yeah. >> Yeah. >> And and I think there's going to be >> And and I think there's going to be >> And and I think there's going to be probably more of that happening. probably more of that happening. probably more of that happening. The problem is is the for enterprises a The problem is is the for enterprises a The problem is is the for enterprises a lot of tools don't exist for safe AI lot of tools don't exist for safe AI lot of tools don't exist for safe AI adoption hosting. But you know the crazy adoption hosting. But you know the crazy adoption hosting. But you know the crazy thing is when you look at some of the thing is when you look at some of the thing is when you look at some of the terms and conditions and the terms and conditions and the terms and conditions and the >> enduser uh agreements >> enduser uh agreements >> enduser uh agreements >> uh and the privacy confidentiality, you >> uh and the privacy confidentiality, you >> uh and the privacy confidentiality, you know, policies. know, policies. know, policies. >> Mhm. >> Mhm. >> Mhm. >> Um dude, it's like it's like freaking >> Um dude, it's like it's like freaking >> Um dude, it's like it's like freaking disturbing stuff, man. disturbing stuff, man. disturbing stuff, man. >> Like um you know, Salesforce, what was >> Like um you know, Salesforce, what was >> Like um you know, Salesforce, what was it? They they mentioned some uh it? They they mentioned some uh it? They they mentioned some uh >> Yeah, I did like some Scooby-Doo work.

>> Yeah, I did like some Scooby-Doo work. >> Yeah, I did like some Scooby-Doo work. to to to to look at, okay, are these guys really to look at, okay, are these guys really to look at, okay, are these guys really do these guys, the ISVS or the SAS guys, do these guys, the ISVS or the SAS guys, do these guys, the ISVS or the SAS guys, do they really have their um AI game do they really have their um AI game do they really have their um AI game down, down, down, >> right? >> right? >> right? >> There's some disconnects, man. I'll tell >> There's some disconnects, man. I'll tell >> There's some disconnects, man. I'll tell you that right now. Um, you know, a lot you that right now. Um, you know, a lot you that right now. Um, you know, a lot of the safety features don't come out of the safety features don't come out of the safety features don't come out until next year. Yet, they're pushing until next year. Yet, they're pushing until next year. Yet, they're pushing agentic [laughter] agentic [laughter] agentic [laughter] features this year. It's like, okay, features this year. It's like, okay, features this year. It's like, okay, wait a minute. Wouldn't you wait until wait a minute. Wouldn't you wait until wait a minute. Wouldn't you wait until These safety features and security These safety features and security These safety features and security features features features >> are not experimental >> are not experimental >> are not experimental >> before you push out your agent force >> before you push out your agent force >> before you push out your agent force feature. feature. feature. >> Um, hey, hey, you know what? Look, as an >> Um, hey, hey, you know what? Look, as an >> Um, hey, hey, you know what? Look, as an analyst, I'm supposed to I have to analyst, I'm supposed to I have to analyst, I'm supposed to I have to evaluate these things for end users, evaluate these things for end users, evaluate these things for end users, right? When a vendor does something like right? When a vendor does something like right? When a vendor does something like publicly puts out dates that don't make publicly puts out dates that don't make publicly puts out dates that don't make any sense, I'm going to call it out, you any sense, I'm going to call it out, you any sense, I'm going to call it out, you know? know? know? >> Call it out. >> Call it out. >> Call it out. >> Yeah. So >> Yeah. So >> Yeah. So >> they introduced like cloud force and >> they introduced like cloud force and >> they introduced like cloud force and yeah they you know they were talking yeah they you know they were talking yeah they you know they were talking about like zero data retention like okay about like zero data retention like okay about like zero data retention like okay well number one what do you mean by data well number one what do you mean by data well number one what do you mean by data [laughter] [laughter] [laughter] >> does that also include KV cache >> does that also include KV cache >> does that also include KV cache >> um are you sure they you know um >> um are you sure they you know um >> um are you sure they you know um Anthropic and others aren't just Anthropic and others aren't just Anthropic and others aren't just harvesting that stuff and then using harvesting that stuff and then using harvesting that stuff and then using that as a way to that as a way to that as a way to >> uh you know train >> uh you know train >> uh you know train >> train train their models you know going >> train train their models you know going >> train train their models you know going back to the Microsoft back to the Microsoft back to the Microsoft comment that you made earlier.

comment that you made earlier. comment that you made earlier. Um are are are they are they in some way Um are are are they are they in some way Um are are are they are they in some way >> um you know taking your information you >> um you know taking your information you >> um you know taking your information you know your knowledge and knowhow um know your knowledge and knowhow um know your knowledge and knowhow um that's expressed through whatever you're that's expressed through whatever you're that's expressed through whatever you're submitting into the tool and so yeah submitting into the tool and so yeah submitting into the tool and so yeah this whole zero data here this is this whole zero data here this is this whole zero data here this is interesting listen to this is like zero interesting listen to this is like zero interesting listen to this is like zero ZDR is not included in the standard ZDR is not included in the standard ZDR is not included in the standard cloud for enterprise plan >> I It should be included for everything >> I It should be included for everything quite frankly. quite frankly. quite frankly. >> So what does this mean for everyone else >> So what does this mean for everyone else >> So what does this mean for everyone else right? But here right? But here right? But here um yeah it's so funny. If your um yeah it's so funny. If your um yeah it's so funny. If your organization requires ZDR contact sales organization requires ZDR contact sales organization requires ZDR contact sales to confirm eligibility to confirm eligibility to confirm eligibility eligibility, eligibility, eligibility, you know, it's like why the would you know, it's like why the would you know, it's like why the would anyone use this unless it was just part anyone use this unless it was just part anyone use this unless it was just part of the whole thing, of the whole thing, of the whole thing, >> you know? Eligibility means we're a >> you know? Eligibility means we're a >> you know? Eligibility means we're a human being on the planet. So human being on the planet. So human being on the planet. So >> yeah, I mean jeez, I have you have to >> yeah, I mean jeez, I have you have to >> yeah, I mean jeez, I have you have to just talk about this. This is just just talk about this. This is just just talk about this. This is just freaking ridiculous. ZDR on cloud for freaking ridiculous. ZDR on cloud for freaking ridiculous. ZDR on cloud for enterprise gives enterprise customers enterprise gives enterprise customers enterprise gives enterprise customers the ability to use claude code with zero the ability to use claude code with zero the ability to use claude code with zero data retention and access administrative data retention and access administrative data retention and access administrative capabilities. Okay, so that's what's all capabilities. Okay, so that's what's all capabilities. Okay, so that's what's all about.

about. about. But later on it it says um you know that But later on it it says um you know that But later on it it says um you know that they do have they they can mess with it. they do have they they can mess with it. they do have they they can mess with it. Um Um Um >> right. >> right. >> right. >> No no there's exceptions. There's >> No no there's exceptions. There's >> No no there's exceptions. There's exceptions except when needed to comply exceptions except when needed to comply exceptions except when needed to comply with law or combat misuse. So if you're with law or combat misuse. So if you're with law or combat misuse. So if you're a non US entity um a non US entity um a non US entity um >> how do you trust this? >> how do you trust this? >> how do you trust this? >> Right. Yeah. Good point. >> Right. Yeah. Good point. >> Right. Yeah. Good point. >> Right. Um, >> Right. Um, >> Right. Um, >> and the bigger thing is in life, you >> and the bigger thing is in life, you >> and the bigger thing is in life, you know, are you in group one? Are know, are you in group one? Are know, are you in group one? Are [laughter] you in green group two? [laughter] you in green group two? [laughter] you in green group two? >> That's really what life all comes down >> That's really what life all comes down >> That's really what life all comes down to, right? to, right? to, right? >> Yeah. Basically, and you know, back >> Yeah. Basically, and you know, back >> Yeah. Basically, and you know, back before AI, that is all that matter is before AI, that is all that matter is before AI, that is all that matter is whether or not you're in group one or whether or not you're in group one or whether or not you're in group one or group two. So that you put your luggage group two. So that you put your luggage group two. So that you put your luggage up on didn't have up on didn't have up on didn't have >> Did you notice something? You know what? >> Did you notice something? You know what? >> Did you notice something? You know what? As far as As far as As far as >> a bigger theme though, group one is blue >> a bigger theme though, group one is blue >> a bigger theme though, group one is blue like in blue bubble like in blue bubble like in blue bubble >> and group two is green green bubble.

>> and group two is green green bubble. >> and group two is green green bubble. >> What? >> What? >> What? >> I Well, >> I Well, >> I Well, >> I thought it was >> I thought it was >> I thought it was >> I'm just I'm just looking up there. >> I'm just I'm just looking up there. >> I'm just I'm just looking up there. Group ball is blue. And so do you think Group ball is blue. And so do you think Group ball is blue. And so do you think that they they meant to say iOS people that they they meant to say iOS people that they they meant to say iOS people are in group one and Android people are are in group one and Android people are are in group one and Android people are in group two? You know, having that in group two? You know, having that in group two? You know, having that green bubble makes you a secondass green bubble makes you a secondass green bubble makes you a secondass citizen, you know. So, it's tough life citizen, you know. So, it's tough life citizen, you know. So, it's tough life out there, bro. out there, bro. out there, bro. >> Yeah. No, that's nuts, man. That's nuts. >> Yeah. No, that's nuts, man. That's nuts. >> Yeah. No, that's nuts, man. That's nuts. >> Yeah. >> Yeah. >> Yeah. >> Hey, I did I did I'm going to come back >> Hey, I did I did I'm going to come back >> Hey, I did I did I'm going to come back to the fold. I did pre-order the new to the fold. I did pre-order the new to the fold. I did pre-order the new iPhone Pro Max 18. Yeah. Last Saturday. iPhone Pro Max 18. Yeah. Last Saturday. iPhone Pro Max 18. Yeah. Last Saturday. As soon as they let me do it. As soon as they let me do it. As soon as they let me do it. >> Holy So, you're coming back? >> Holy So, you're coming back? >> Holy So, you're coming back? >> I'm coming back. I'm coming back. I'm >> I'm coming back. I'm coming back. I'm >> I'm coming back. I'm coming back. I'm back. You're not going to try out the back. You're not going to try out the back. You're not going to try out the You're not going to try out the ZFold uh You're not going to try out the ZFold uh You're not going to try out the ZFold uh 8, the wide widebodied one? 8, the wide widebodied one? 8, the wide widebodied one? >> No. >> No. >> No. >> Yeah. You know what? I I'm going to skip >> Yeah. You know what? I I'm going to skip >> Yeah. You know what? I I'm going to skip out on upgrades this year. out on upgrades this year. out on upgrades this year. >> It's just um it doesn't make any >> It's just um it doesn't make any >> It's just um it doesn't make any >> There's not a lot of difference between >> There's not a lot of difference between >> There's not a lot of difference between the 17 Pro Max that you have and the 18 the 17 Pro Max that you have and the 18 the 17 Pro Max that you have and the 18 Pro Max.

Pro Max. Pro Max. >> It's the the device looks identical, >> It's the the device looks identical, >> It's the the device looks identical, actually. actually. actually. >> And I love this color, man. This this >> And I love this color, man. This this >> And I love this color, man. This this color is awesome. And I'm like, ah, color is awesome. And I'm like, ah, color is awesome. And I'm like, ah, burgundy. But you're a wine guy. You burgundy. But you're a wine guy. You burgundy. But you're a wine guy. You love wine. So love wine. So love wine. So >> I ended up I ended up just getting the >> I ended up I ended up just getting the >> I ended up I ended up just getting the black one. black one. black one. >> Oh, really? >> Oh, really? >> Oh, really? >> Yeah. >> Yeah. >> Yeah. >> Interesting. Yeah. The duo. >> Interesting. Yeah. The duo. >> Interesting. Yeah. The duo. >> I don't feel it, you know. Um, >> I don't feel it, you know. Um, >> I don't feel it, you know. Um, >> let's give it three versions, >> let's give it three versions, >> let's give it three versions, >> huh? >> huh? >> huh? >> Let's give it three versions to get >> Let's give it three versions to get >> Let's give it three versions to get good, right? good, right? good, right? >> Yeah. >> Yeah. >> Yeah. >> A few years of doing it to improve it, >> A few years of doing it to improve it, >> A few years of doing it to improve it, make it good. make it good. make it good. It's probably, you know, it's probably It's probably, you know, it's probably It's probably, you know, it's probably good enough. good enough. good enough. Um, Um, Um, >> is it something that makes a hell of a >> is it something that makes a hell of a >> is it something that makes a hell of a lot of sense having used these lot of sense having used these lot of sense having used these foldables? foldables? foldables? >> I just don't think so. Um I >> I just don't think so. Um I >> I just don't think so. Um I >> I don't use it all that much, you know, >> I don't use it all that much, you know, >> I don't use it all that much, you know, in uh especially given the the the the in uh especially given the the the the in uh especially given the the the the um ones before the Passport, um ones before the Passport, um ones before the Passport, >> you know, the Duo, the Microsoft uh >> you know, the Duo, the Microsoft uh >> you know, the Duo, the Microsoft uh Surface Duo [laughter] Surface Duo [laughter] Surface Duo [laughter] >> form [clears throat] factors, right?

>> form [clears throat] factors, right? >> form [clears throat] factors, right? >> Right. >> Right. >> Right. >> Uh I mean, it's freaking square. If you >> Uh I mean, it's freaking square. If you >> Uh I mean, it's freaking square. If you if you hold it up straight, it's square. if you hold it up straight, it's square. if you hold it up straight, it's square. And you tilt it, it's square. It's fun. And you tilt it, it's square. It's fun. And you tilt it, it's square. It's fun. >> There's Yeah, I think the passport form >> There's Yeah, I think the passport form >> There's Yeah, I think the passport form factor is is is better, but factor is is is better, but factor is is is better, but >> I think it's better. >> I think it's better. >> I think it's better. >> All right. I'm going to go get in line >> All right. I'm going to go get in line >> All right. I'm going to go get in line and get on this plane, you know. and get on this plane, you know. and get on this plane, you know. >> Okay. All right. Well, we'll be seeing >> Okay. All right. Well, we'll be seeing >> Okay. All right. Well, we'll be seeing you in Amsterdam. So, [laughter] [laughter] >> that's sad. Four years four years after. >> that's sad. Four years four years after. >> that's sad. Four years four years after. >> That's where we're going, man. It's a >> That's where we're going, man. It's a >> That's where we're going, man. It's a >> That's where we're going, bro. >> That's where we're going, bro. >> That's where we're going, bro. >> Yeah. >> Yeah. >> Yeah. >> Absolutely. Absolutely. >> Absolutely. Absolutely. >> Absolutely. Absolutely. >> All right. Well, safe flight. >> All right. Well, safe flight. >> All right. Well, safe flight. >> Thanks everyone for joining. >> Thanks everyone for joining. >> Thanks everyone for joining. >> Sorry. Sorry for uh this really weird >> Sorry. Sorry for uh this really weird >> Sorry. Sorry for uh this really weird episode. I episode. I episode. I >> We made it happen, >> We made it happen, >> We made it happen, >> but we still made it happen. >> but we still made it happen. >> but we still made it happen. >> Serious stuff. >> Serious stuff. >> Serious stuff. >> Yeah. So, remember, take it seriously at >> Yeah. So, remember, take it seriously at >> Yeah. So, remember, take it seriously at your own risk. And remember, next week your own risk. And remember, next week your own risk. And remember, next week is all about elevate communities and is all about elevate communities and is all about elevate communities and even more so the convergence of IoT and even more so the convergence of IoT and even more so the convergence of IoT and edge AI at the things conference 2026 edge AI at the things conference 2026 edge AI at the things conference 2026 and all our friends are going to be and all our friends are going to be and all our friends are going to be there or most of them are going to be there or most of them are going to be there or most of them are going to be there. So they're going to be exciting there. So they're going to be exciting there. So they're going to be exciting stuff next week and uh see you next stuff next week and uh see you next stuff next week and uh see you next week.

week. week. >> See you next week. We'll see you next >> See you next week. We'll see you next >> See you next week. We'll see you next time. Adios. time. Adios. time. Adios. >> Bye. Bye >> Bye. Bye >> Bye. Bye >> bye. >> bye. >> bye. >> [music]