1 00:00:01,320 --> 00:00:04,800 Speaker 1: Welcome to Crash Course, a podcast about business, political, and 2 00:00:04,880 --> 00:00:08,160 Speaker 1: social disruption and what we can learn from it. I'm 3 00:00:08,240 --> 00:00:14,080 Speaker 1: Kim O'Brien. Today's Crash Course Elon and Zuck versus Grown 4 00:00:14,160 --> 00:00:18,560 Speaker 1: up Management. Silicon Valley is many things. It's a hub 5 00:00:18,560 --> 00:00:23,239 Speaker 1: of revolutionary technological innovation. It's home to novel creative approaches 6 00:00:23,239 --> 00:00:26,960 Speaker 1: to managing businesses and production. It's a giant storehouse of 7 00:00:27,000 --> 00:00:30,440 Speaker 1: wealth and startup britches, stretching along a slender strip of 8 00:00:30,520 --> 00:00:34,599 Speaker 1: land winding south from San Francisco to San Jose. It's 9 00:00:34,640 --> 00:00:38,000 Speaker 1: also the centerpiece of a very specific kind of bro culture, 10 00:00:38,720 --> 00:00:40,680 Speaker 1: a culture that has had a certain winner take all 11 00:00:40,720 --> 00:00:43,720 Speaker 1: mojo over the years, but which may be running its course. 12 00:00:44,760 --> 00:00:46,960 Speaker 1: That's not to say that the bro's holds will loosen. 13 00:00:47,640 --> 00:00:50,960 Speaker 1: It just may be that, as Silicon Valley matures, being 14 00:00:51,000 --> 00:00:53,199 Speaker 1: a bro is in everything that it's cracked up to be, 15 00:00:53,720 --> 00:00:55,840 Speaker 1: at least when it comes to managing a mature and 16 00:00:55,880 --> 00:01:00,279 Speaker 1: complex enterprise, instead of say, launching a world beating company 17 00:01:00,320 --> 00:01:03,760 Speaker 1: from scratch. To test this thesis, I present you with 18 00:01:03,800 --> 00:01:08,040 Speaker 1: Elon Musk and Mark Zuckerberg, founders of such landmark companies 19 00:01:08,040 --> 00:01:13,600 Speaker 1: as Tesla, SpaceX and Meta aka Facebook. They are both innovators, 20 00:01:13,760 --> 00:01:18,280 Speaker 1: admirable risk takers, and bazillionaires. They've also struggled to evolve 21 00:01:18,760 --> 00:01:22,520 Speaker 1: to have early vaunted reputations as wise men correspond with 22 00:01:22,560 --> 00:01:26,240 Speaker 1: equally wise management and wise decisions as the world around 23 00:01:26,280 --> 00:01:30,200 Speaker 1: them changed, and they recently considered fighting one another in 24 00:01:30,240 --> 00:01:34,640 Speaker 1: a cage match. Really they did. Joining me today to 25 00:01:34,640 --> 00:01:37,520 Speaker 1: consider all of this is Kara Swisher. Kara has been 26 00:01:37,560 --> 00:01:42,080 Speaker 1: watching Silicon Valley since well forever as a journalist, convener 27 00:01:42,120 --> 00:01:46,440 Speaker 1: of Ideas, raconteur, and residence smarty. She is the host 28 00:01:46,520 --> 00:01:49,800 Speaker 1: of the On with Kara Swisher and Pivot podcasts. That's 29 00:01:49,840 --> 00:01:52,520 Speaker 1: a lot of podcasting, and she's an editor at large 30 00:01:52,520 --> 00:01:56,320 Speaker 1: with New York Magazine. So howdy Cara, Hi, how you doing. 31 00:01:56,840 --> 00:01:58,680 Speaker 1: I'm good, I'm good. Thanks for joining me today. 32 00:01:58,960 --> 00:01:59,560 Speaker 2: No problem. 33 00:02:00,080 --> 00:02:02,680 Speaker 1: So we may come out of this with different definitions, 34 00:02:02,680 --> 00:02:07,560 Speaker 1: but can we develop a working definition together of Silicon Valley? Broness, 35 00:02:08,280 --> 00:02:09,480 Speaker 1: how would you define that? 36 00:02:09,760 --> 00:02:11,639 Speaker 2: Well, it's not meant to be nice, I think at 37 00:02:11,639 --> 00:02:14,360 Speaker 2: this point there's all kinds of cliches about groups of 38 00:02:14,400 --> 00:02:19,400 Speaker 2: people Hollywood types or producers or whatever, indie actors, and 39 00:02:19,480 --> 00:02:22,639 Speaker 2: so it's just a type of person who populates Silicon 40 00:02:22,760 --> 00:02:25,440 Speaker 2: Valley who they sort of take on the patterns of 41 00:02:25,480 --> 00:02:27,440 Speaker 2: the others who came before them, and so they pass 42 00:02:27,480 --> 00:02:29,960 Speaker 2: it down from person person I guess if you had 43 00:02:29,960 --> 00:02:31,840 Speaker 2: to broadly put it, and I don't think everyone fits 44 00:02:31,840 --> 00:02:36,080 Speaker 2: into this. It's you know, an arrogance youth, frequently wrong, 45 00:02:36,120 --> 00:02:39,000 Speaker 2: but never in doubt. Use a word like pivot, and 46 00:02:39,280 --> 00:02:42,160 Speaker 2: you know, failure is just an opportunity for growth, that 47 00:02:42,320 --> 00:02:44,960 Speaker 2: kind of stuff, you know, just a sort of basically 48 00:02:45,000 --> 00:02:47,600 Speaker 2: going through the world and breaking things and then thinking 49 00:02:47,600 --> 00:02:49,919 Speaker 2: it's someone else's fault almost all the time. 50 00:02:50,280 --> 00:02:53,360 Speaker 1: I mean, is it an unfair broad brush, well sort of. 51 00:02:54,600 --> 00:02:56,040 Speaker 1: And Silicon Valley and one. 52 00:02:56,320 --> 00:02:58,359 Speaker 2: People are always like, you know, lesbian's evning a sense 53 00:02:58,360 --> 00:03:00,640 Speaker 2: of humor. I think I'm very funny, so, you know, 54 00:03:00,720 --> 00:03:03,000 Speaker 2: I don't know, I just I guess it does tend 55 00:03:03,040 --> 00:03:04,880 Speaker 2: to fit, though they do tend to dress alike. I 56 00:03:04,919 --> 00:03:06,800 Speaker 2: think what happens is when you get in any culture, 57 00:03:07,200 --> 00:03:10,160 Speaker 2: people tend to pattern match people, and so everyone suddenly 58 00:03:10,320 --> 00:03:13,120 Speaker 2: was behaving like Mark Zuckerberg, right, But Mark Zuckerberg was 59 00:03:13,160 --> 00:03:16,000 Speaker 2: behaving like people before him. So it's a little true. 60 00:03:16,240 --> 00:03:17,519 Speaker 2: Like a lot of things it's got a lot of 61 00:03:17,600 --> 00:03:19,480 Speaker 2: truth to it. And they often do tend to look 62 00:03:19,480 --> 00:03:22,720 Speaker 2: alike and wear the same clothes and have the same attitudes, 63 00:03:22,760 --> 00:03:25,840 Speaker 2: but they also contain multitudes. As Walt Whitman wrote. 64 00:03:25,720 --> 00:03:28,640 Speaker 1: So have I picked well? Do you think that Elon 65 00:03:28,760 --> 00:03:33,000 Speaker 1: Musk and Mark Zuckerberg are emblematic of the culture of 66 00:03:33,040 --> 00:03:34,280 Speaker 1: Bronus Wow? 67 00:03:34,360 --> 00:03:37,800 Speaker 2: In different ways? You know, both have changed rather significantly, 68 00:03:37,840 --> 00:03:40,640 Speaker 2: although I would say, you know, on the surface, I 69 00:03:40,640 --> 00:03:42,920 Speaker 2: guess Mark would be the tech bro, of the kind 70 00:03:42,920 --> 00:03:46,000 Speaker 2: of bro you think about. Although personally he's quite nice. 71 00:03:46,040 --> 00:03:48,640 Speaker 2: He's quite a nice guy from what I can understand. 72 00:03:48,720 --> 00:03:51,640 Speaker 2: He's quite a good parent, and he's a good husband, 73 00:03:51,720 --> 00:03:53,280 Speaker 2: you know what I mean. Like, there's a lot more 74 00:03:53,280 --> 00:03:56,680 Speaker 2: there than people would think about him. At the same time, 75 00:03:56,840 --> 00:03:59,520 Speaker 2: he kind of has people following him or trying to 76 00:03:59,560 --> 00:04:02,560 Speaker 2: be like him essentially, and that way, which is like 77 00:04:02,640 --> 00:04:05,520 Speaker 2: push through I'm right, even though people said I was wrong, 78 00:04:05,720 --> 00:04:06,480 Speaker 2: that kind of thing. 79 00:04:07,000 --> 00:04:07,160 Speaker 1: You know. 80 00:04:07,240 --> 00:04:09,880 Speaker 2: Right now, he's got a bit of an obsession with athleticism. 81 00:04:10,040 --> 00:04:12,880 Speaker 2: I assume it's because he wasn't athletic when he was younger. 82 00:04:13,120 --> 00:04:16,200 Speaker 2: It's quite aggressive. His athleticism is quite aggressive. Let me 83 00:04:16,240 --> 00:04:19,599 Speaker 2: show you me doing all these hard athletic things or 84 00:04:19,600 --> 00:04:22,839 Speaker 2: show off my body in some fashion, which I'm fine with. Fine, whatever, 85 00:04:22,880 --> 00:04:25,200 Speaker 2: he wants to be healthy. So you know, you probably 86 00:04:25,200 --> 00:04:27,880 Speaker 2: see a lot of people better match that. There's a 87 00:04:27,920 --> 00:04:29,960 Speaker 2: lot of people they did the same thing when everybody 88 00:04:30,000 --> 00:04:33,200 Speaker 2: was fasting or whatever, and so you know, he seems 89 00:04:33,279 --> 00:04:35,320 Speaker 2: like it. Although I think people would be surprised to 90 00:04:35,360 --> 00:04:39,400 Speaker 2: find him to be a relatively thoughtful and nice person. 91 00:04:39,480 --> 00:04:41,359 Speaker 2: I know people get angry when I say that, because 92 00:04:41,360 --> 00:04:43,160 Speaker 2: he's done a lot of damage. His company has done 93 00:04:43,200 --> 00:04:45,720 Speaker 2: a lot of damage to society. I think so, and 94 00:04:45,800 --> 00:04:48,880 Speaker 2: so it can be cross purposes with he. Well, you 95 00:04:48,920 --> 00:04:51,320 Speaker 2: may like him, but he's done terrible things. Well, I'm 96 00:04:51,360 --> 00:04:54,800 Speaker 2: just pointing out that he's not obnoxious. I've never found 97 00:04:54,880 --> 00:04:56,320 Speaker 2: him to be particularly obnoxious. 98 00:04:57,040 --> 00:05:00,480 Speaker 1: But the pro phenomenon is it's a relatively new thing, 99 00:05:00,520 --> 00:05:02,599 Speaker 1: at least in the dimensions we're talking about it, right. 100 00:05:02,640 --> 00:05:05,320 Speaker 1: I mean, Silicon Valley's always been a boys club, right, 101 00:05:06,200 --> 00:05:08,840 Speaker 1: and still largely is. But there's a world of difference 102 00:05:08,880 --> 00:05:12,240 Speaker 1: between the days of Bill Hewlett and David Packard and 103 00:05:12,279 --> 00:05:13,320 Speaker 1: Elon and Zach Sure. 104 00:05:13,360 --> 00:05:15,159 Speaker 2: They just wore ties. They were just as arrogant like, 105 00:05:15,200 --> 00:05:16,920 Speaker 2: I'm sorry they were. If you go back and look 106 00:05:16,920 --> 00:05:19,280 Speaker 2: at that, you know, Thomas Edison was kind of a jackass. 107 00:05:19,360 --> 00:05:21,520 Speaker 2: So I feel like tech pros have always been somewhat 108 00:05:21,520 --> 00:05:24,520 Speaker 2: of a jackass, you know, I don't know, there was definitely. 109 00:05:24,560 --> 00:05:26,039 Speaker 2: I mean I wrote a piece when I came to 110 00:05:26,040 --> 00:05:28,000 Speaker 2: the Wall Street Journal in the nineties because I started 111 00:05:28,000 --> 00:05:29,720 Speaker 2: to notice they all had to wear a certain kind 112 00:05:29,720 --> 00:05:32,119 Speaker 2: of vest. If you're a VCS, you had a different 113 00:05:32,200 --> 00:05:34,919 Speaker 2: kind of vest, you know, a fleece fest essentially, Patagonia 114 00:05:34,920 --> 00:05:37,040 Speaker 2: fleece Fest. One of the things I wrote is all 115 00:05:37,320 --> 00:05:39,520 Speaker 2: the lies they tell themselves, which was one is that, 116 00:05:39,640 --> 00:05:42,120 Speaker 2: you know, I don't like fancy things. They needed burrito 117 00:05:42,200 --> 00:05:46,080 Speaker 2: places and meanwhile, jump on the private plane two years later, right, 118 00:05:46,200 --> 00:05:48,479 Speaker 2: that kind of stuff. And so they sort of had 119 00:05:48,480 --> 00:05:51,279 Speaker 2: to sort of cosplay being a simple guy just like 120 00:05:51,320 --> 00:05:53,960 Speaker 2: everybody else, you know, that kind of thing. And I'm 121 00:05:53,960 --> 00:05:57,200 Speaker 2: not dressing well. I may wander around in Adidas what 122 00:05:57,240 --> 00:06:00,000 Speaker 2: are they called those things? He wears their flip pops. Essentially. 123 00:06:00,600 --> 00:06:02,400 Speaker 2: My son will kill me for not knowing what to 124 00:06:02,440 --> 00:06:04,320 Speaker 2: call this, but you know that kind of thing. I'm 125 00:06:04,360 --> 00:06:06,720 Speaker 2: a simple guy. I don't need a lot and then 126 00:06:06,760 --> 00:06:09,960 Speaker 2: of course they all live lives of ridiculous and egregious privilege. 127 00:06:10,520 --> 00:06:12,600 Speaker 1: But there has been a cultural shift, right. I mean, 128 00:06:12,720 --> 00:06:14,719 Speaker 1: I am amused, and I like the idea of thinking 129 00:06:14,720 --> 00:06:17,640 Speaker 1: about Thomas Edison as a tech bro. He is, and 130 00:06:17,680 --> 00:06:20,120 Speaker 1: maybe in his time he was a tech bro for 131 00:06:20,160 --> 00:06:22,520 Speaker 1: you know the way he rolled then. But I think 132 00:06:22,600 --> 00:06:25,880 Speaker 1: there's sort of a bravado to it now and a 133 00:06:26,000 --> 00:06:29,479 Speaker 1: strutting to it now that seems different from Edison. It 134 00:06:29,520 --> 00:06:32,040 Speaker 1: seems different from Hewlett and Packer. 135 00:06:32,200 --> 00:06:33,920 Speaker 2: I think if you look back, do a lot of 136 00:06:34,000 --> 00:06:37,680 Speaker 2: manipulation of the press, a lot of stuntishness, that kind 137 00:06:37,720 --> 00:06:40,600 Speaker 2: of stuff. It's not unlike Elon Musk, honestly. 138 00:06:40,440 --> 00:06:42,719 Speaker 1: But that's like a use of power, which I know 139 00:06:42,800 --> 00:06:45,240 Speaker 1: has been eternal. But I'm sort of I just wonder 140 00:06:45,279 --> 00:06:48,719 Speaker 1: if there's a cultural kind of a difference around the 141 00:06:48,800 --> 00:06:51,760 Speaker 1: ma chismo of it and the kind of public strutting 142 00:06:52,200 --> 00:06:52,760 Speaker 1: that it income. 143 00:06:52,960 --> 00:06:54,960 Speaker 2: I think they just these are people who didn't get 144 00:06:54,960 --> 00:06:57,320 Speaker 2: a lot of attention in their youth and now they 145 00:06:57,320 --> 00:06:59,960 Speaker 2: do because of money and power, and so it's very classic. 146 00:07:00,560 --> 00:07:02,840 Speaker 2: Feels like a Genesee in song, like they got pick 147 00:07:02,920 --> 00:07:04,800 Speaker 2: lasts at basketball and they're taking it out on the 148 00:07:04,800 --> 00:07:07,360 Speaker 2: rest of us for not picking them sooner. I don't 149 00:07:07,600 --> 00:07:09,000 Speaker 2: I don't know, you know, you could boil it down 150 00:07:09,000 --> 00:07:10,880 Speaker 2: to something like that, but a lot of them Tech 151 00:07:10,920 --> 00:07:13,240 Speaker 2: has become cool and nerds has become cool. It's sort 152 00:07:13,240 --> 00:07:15,960 Speaker 2: of the revenge of the Nerds kind of scenario that 153 00:07:16,080 --> 00:07:18,119 Speaker 2: has happened. And what comes with it is an enormous 154 00:07:18,160 --> 00:07:21,080 Speaker 2: amount of money. Like that's really what gives them power, right, 155 00:07:21,200 --> 00:07:23,960 Speaker 2: the money they have, not necessarily it they invented something, 156 00:07:23,960 --> 00:07:27,400 Speaker 2: although that's also important. But you know, when people become 157 00:07:27,440 --> 00:07:30,520 Speaker 2: really rich, they become more and more certain they're correct, 158 00:07:30,880 --> 00:07:33,200 Speaker 2: and very few people push back against that because it's 159 00:07:33,200 --> 00:07:36,280 Speaker 2: all in their interests to get money from those people. 160 00:07:36,440 --> 00:07:38,600 Speaker 2: You know, everyone's on their payroll, and so that tends 161 00:07:38,640 --> 00:07:40,800 Speaker 2: to be like that. The way I sort of characterize 162 00:07:40,800 --> 00:07:43,440 Speaker 2: it is sort of a juvenilization of people who are 163 00:07:43,480 --> 00:07:47,040 Speaker 2: adults men, adult men, typically white adult men, and so 164 00:07:47,080 --> 00:07:51,000 Speaker 2: they juvenilize them by constantly licking them up and down, 165 00:07:51,120 --> 00:07:54,360 Speaker 2: telling them they're smart, saying oh right again, sir, that 166 00:07:54,480 --> 00:07:56,720 Speaker 2: kind of thing. And I think one of the things 167 00:07:56,760 --> 00:07:59,360 Speaker 2: that also at the same time that manifests is that 168 00:07:59,480 --> 00:08:02,480 Speaker 2: they feel like they're victims. If they're criticized or given 169 00:08:02,520 --> 00:08:05,440 Speaker 2: any feedback, they find that to be an attack. Like 170 00:08:05,480 --> 00:08:07,920 Speaker 2: you're seeing that right now with Elon and ADL. It's 171 00:08:07,960 --> 00:08:12,200 Speaker 2: their fault, you know. Naysayers. Well, in this case, he's 172 00:08:12,200 --> 00:08:14,960 Speaker 2: pulling into tropes around Jews or to blame, which is 173 00:08:15,080 --> 00:08:18,560 Speaker 2: very dangerous. And yeah, they're naysayers and they're Miami. He's 174 00:08:18,560 --> 00:08:20,160 Speaker 2: got to always have an enemy, you know what I mean, 175 00:08:20,200 --> 00:08:23,000 Speaker 2: Because you couldn't possibly have made a mistake. You know, 176 00:08:23,040 --> 00:08:25,160 Speaker 2: that's something that's very hard for them to accept. 177 00:08:26,080 --> 00:08:29,880 Speaker 1: So is that mindset that you're right and everyone else 178 00:08:29,960 --> 00:08:35,199 Speaker 1: is wrong and you're a strutting rooster. Are those things 179 00:08:35,240 --> 00:08:38,439 Speaker 1: necessary to be successful in Silicon Valley? 180 00:08:38,840 --> 00:08:40,920 Speaker 2: No, not at all. There's a lot of very nice people, 181 00:08:41,080 --> 00:08:43,080 Speaker 2: not at all, not even slightly. I can think of 182 00:08:43,120 --> 00:08:46,199 Speaker 2: a dozen different people who are just lovely, Brian Chesky 183 00:08:46,280 --> 00:08:49,520 Speaker 2: being one of them from Airbnb. Most of the adults 184 00:08:49,559 --> 00:08:50,080 Speaker 2: are fine. 185 00:08:50,280 --> 00:08:50,440 Speaker 1: You know. 186 00:08:50,520 --> 00:08:52,640 Speaker 2: Even Steve Jobs wasn't that much of an asshole, not 187 00:08:52,679 --> 00:08:54,439 Speaker 2: compared to these guys, like you know what I mean, 188 00:08:54,480 --> 00:08:54,880 Speaker 2: He could. 189 00:08:54,760 --> 00:08:56,559 Speaker 1: Be eric and once he learned, he turned out to 190 00:08:56,559 --> 00:08:57,440 Speaker 1: be a pretty good manager. 191 00:08:57,600 --> 00:09:00,840 Speaker 2: Oh yeah, absolutely. And most people stayed for twenty years, right, 192 00:09:00,880 --> 00:09:03,200 Speaker 2: they didn't leave the people who work there. He could 193 00:09:03,240 --> 00:09:05,400 Speaker 2: be very difficult, but you know, he also if you 194 00:09:05,440 --> 00:09:08,240 Speaker 2: go back and listen interview, he's very thoughtful. He's very 195 00:09:08,360 --> 00:09:11,880 Speaker 2: I wouldn't say he was humble, but that's okay, that's fine. 196 00:09:11,880 --> 00:09:15,200 Speaker 2: He was a game changer, but he wasn't just petty 197 00:09:15,320 --> 00:09:18,319 Speaker 2: and juvenile. He definitely wasn't juvenile. 198 00:09:18,760 --> 00:09:21,120 Speaker 1: He also had to kind of go through trial by fire, right, 199 00:09:21,160 --> 00:09:22,800 Speaker 1: he got kicked out of the company he built. 200 00:09:22,920 --> 00:09:24,920 Speaker 2: Yeah, I just feel like he was an adult and sort. 201 00:09:24,720 --> 00:09:27,040 Speaker 1: Of learned from his lessons and then came back and acted. 202 00:09:27,280 --> 00:09:29,240 Speaker 2: I used the term adult like he was an adult, 203 00:09:29,240 --> 00:09:31,120 Speaker 2: Like there's a lot of adults. Tim Cook as an adult. 204 00:09:31,200 --> 00:09:33,520 Speaker 2: Read Hastings as an adult, read Hoffman as an adult, 205 00:09:33,720 --> 00:09:36,400 Speaker 2: you know, meaning that they just they don't get into 206 00:09:36,440 --> 00:09:39,000 Speaker 2: peaks if you say, hey, I have a problem with this, 207 00:09:39,160 --> 00:09:41,240 Speaker 2: Like when I was doing an interview with Elon and 208 00:09:41,320 --> 00:09:44,239 Speaker 2: I was he was, you know, just forcing his employees 209 00:09:44,280 --> 00:09:48,160 Speaker 2: back into the office, into the factory. Before anybody knew 210 00:09:48,200 --> 00:09:50,600 Speaker 2: anything about COVID. You could have an argument about whether 211 00:09:50,679 --> 00:09:52,520 Speaker 2: it or not, but nobody knew, and he had a 212 00:09:52,520 --> 00:09:54,720 Speaker 2: certainty I think he said something like they'll be like 213 00:09:54,880 --> 00:09:57,360 Speaker 2: zero COVID deaths or whatever or something. He didn't know. 214 00:09:57,640 --> 00:09:58,760 Speaker 2: I've read all the studies. 215 00:09:59,000 --> 00:10:01,959 Speaker 1: I couldn't believe it. Completely ignorant everything you said. 216 00:10:01,960 --> 00:10:04,640 Speaker 2: Of course, but he read all the studies of deep ignorance. 217 00:10:04,800 --> 00:10:06,720 Speaker 2: I was like, we don't know, we don't know. Let's 218 00:10:06,720 --> 00:10:10,160 Speaker 2: assume lack of safety until we have better information, like 219 00:10:10,200 --> 00:10:12,800 Speaker 2: why not? And you know, he threatened to walk off 220 00:10:12,840 --> 00:10:14,840 Speaker 2: the show, like I'm going to leave. I'm like, fine, 221 00:10:15,040 --> 00:10:17,200 Speaker 2: who does that? But like my two year old, My 222 00:10:17,200 --> 00:10:19,760 Speaker 2: two year old doesn't even behave like that, right, It's like, 223 00:10:19,800 --> 00:10:22,960 Speaker 2: who does that? That's an adult. I'm going to leave. Haha, 224 00:10:23,840 --> 00:10:27,960 Speaker 2: you know whatever, it's childish and throw out of this ever. Right, 225 00:10:28,000 --> 00:10:30,240 Speaker 2: It's just like, you know, we're someone who posts memes 226 00:10:30,240 --> 00:10:32,280 Speaker 2: of boobs, like he always puts a boob thing up. 227 00:10:32,280 --> 00:10:35,920 Speaker 2: I'm like, you're fifty two fucking years old, really, you know, 228 00:10:35,960 --> 00:10:37,800 Speaker 2: and all the young men ooh. 229 00:10:37,520 --> 00:10:40,720 Speaker 1: Cool enough with the boobs. 230 00:10:40,080 --> 00:10:43,320 Speaker 2: Cool boobs, Like, oh, come on, really, you're fifty two. 231 00:10:43,360 --> 00:10:45,000 Speaker 2: It moves in on pathetic. 232 00:10:44,920 --> 00:10:47,320 Speaker 1: And poop emojis. Don't forget the poop emojis. 233 00:10:47,400 --> 00:10:49,440 Speaker 2: Yeah, whatever, whatever, they're fifty two. 234 00:10:49,800 --> 00:10:53,319 Speaker 1: It's an ecosystem too, right, isn't the venture capital community 235 00:10:53,760 --> 00:10:57,840 Speaker 1: and the media part of the development of Bronus. 236 00:10:58,000 --> 00:11:01,000 Speaker 2: Yeah, it depends. Like the venture capitalist I always thought 237 00:11:01,080 --> 00:11:04,760 Speaker 2: them as enabling parents, like, oh, yes, you're a genius. 238 00:11:04,840 --> 00:11:06,720 Speaker 2: Their interests for money, They wanted to make money. So 239 00:11:06,760 --> 00:11:08,640 Speaker 2: anything they could say to get these guys to do 240 00:11:08,679 --> 00:11:11,040 Speaker 2: what they wanted was what they would do. So more sugar, 241 00:11:11,120 --> 00:11:14,640 Speaker 2: sure you won't get diabetes. Sure more I love you, You're 242 00:11:14,559 --> 00:11:16,160 Speaker 2: the best. And of course they would turn on them 243 00:11:16,200 --> 00:11:18,240 Speaker 2: in a second if they needed to. But yeah, I 244 00:11:18,240 --> 00:11:21,120 Speaker 2: think the culture was very much we support our founders, 245 00:11:21,120 --> 00:11:23,440 Speaker 2: and in fact it was just bad parenting this way 246 00:11:23,480 --> 00:11:25,880 Speaker 2: I looked at it bad parenting. 247 00:11:25,960 --> 00:11:27,480 Speaker 1: And on the note of bad parenting, I'm going to 248 00:11:27,559 --> 00:11:29,840 Speaker 1: take a quick break to hear from a sponsor, Karen, 249 00:11:29,840 --> 00:11:39,640 Speaker 1: and then we'll come right back. I'm talking with Silicon 250 00:11:39,720 --> 00:11:44,000 Speaker 1: Valley whisperer Kara Swisher about tech Bros. And Elon Musk 251 00:11:44,120 --> 00:11:47,360 Speaker 1: and Mark Zuckerberg. Carol, let's talk about each of these 252 00:11:47,400 --> 00:11:51,920 Speaker 1: guys individually. Zuck found Facebook famously in his Harvard dorm 253 00:11:51,960 --> 00:11:54,120 Speaker 1: room in two thousand and four. So if you look 254 00:11:54,280 --> 00:11:57,120 Speaker 1: back on his path to an IPO and three billion 255 00:11:57,240 --> 00:12:01,440 Speaker 1: users and becoming the most vibrant global social media platform, 256 00:12:01,480 --> 00:12:04,760 Speaker 1: the apollo of the social media landscape. Is there anything 257 00:12:04,840 --> 00:12:08,960 Speaker 1: different about the path that he took to those various 258 00:12:09,040 --> 00:12:12,920 Speaker 1: landing pads as an entrepreneur and then a businessman, You know, 259 00:12:12,960 --> 00:12:13,800 Speaker 1: he was more driven. 260 00:12:13,840 --> 00:12:16,199 Speaker 2: He he reminded me of a great deal of Bill Gates, 261 00:12:16,280 --> 00:12:18,760 Speaker 2: you know, very driven young man at all times and 262 00:12:18,880 --> 00:12:21,720 Speaker 2: very serious at the time. If you may not recall, 263 00:12:21,800 --> 00:12:24,600 Speaker 2: my Space was the cat's pajamas for everybody, right, everybody 264 00:12:24,640 --> 00:12:26,400 Speaker 2: loved my sise. They were cool and handsome. 265 00:12:26,480 --> 00:12:27,360 Speaker 1: Remember friends there. 266 00:12:27,400 --> 00:12:29,880 Speaker 2: Yeah, yeah, although that was never cool with my Space 267 00:12:29,960 --> 00:12:32,679 Speaker 2: and Chris, a guy who ran it, and Tom were cool. 268 00:12:32,720 --> 00:12:34,880 Speaker 2: They were cool. They were handsome, cool men, and so 269 00:12:35,000 --> 00:12:37,000 Speaker 2: that was where everybody was. And Mark was just plugging 270 00:12:37,000 --> 00:12:37,520 Speaker 2: away out. 271 00:12:37,440 --> 00:12:40,640 Speaker 1: And the Murdochs were smart for having remember bought into 272 00:12:40,640 --> 00:12:41,079 Speaker 1: my Space. 273 00:12:41,120 --> 00:12:42,800 Speaker 2: They did, but they think they lost money at it. 274 00:12:42,800 --> 00:12:43,440 Speaker 2: I believe they did. 275 00:12:43,559 --> 00:12:45,000 Speaker 1: They ultimately did. But remember at the. 276 00:12:45,000 --> 00:12:48,040 Speaker 2: Time, Yeah, the thing that makes me think they're not smart, 277 00:12:48,080 --> 00:12:50,160 Speaker 2: They think they were stupid. But Mark was plugging away 278 00:12:50,160 --> 00:12:52,360 Speaker 2: with the utilitarian thing that I he kept calling it 279 00:12:52,400 --> 00:12:54,640 Speaker 2: the utility to me and you can imagine as a reporter, Oh, 280 00:12:54,679 --> 00:12:58,120 Speaker 2: a utility. How fascinating, you know, And so I thought 281 00:12:58,160 --> 00:13:00,439 Speaker 2: that was really smart actually, because he is just sort 282 00:13:00,480 --> 00:13:02,640 Speaker 2: of I'm useful, I'm useful, I'm useful, And I used 283 00:13:02,640 --> 00:13:04,640 Speaker 2: to call him a young fogie, like he was sort 284 00:13:04,679 --> 00:13:07,160 Speaker 2: of an old person in a young person's body. And 285 00:13:07,240 --> 00:13:10,040 Speaker 2: so he was quite serious and very like intent and 286 00:13:10,120 --> 00:13:12,960 Speaker 2: aggressive a lot like young Bill Gates, I think, in 287 00:13:13,000 --> 00:13:13,600 Speaker 2: a lot of ways. 288 00:13:14,240 --> 00:13:16,720 Speaker 1: And then he grows Facebook sort of in two ways, 289 00:13:16,760 --> 00:13:19,680 Speaker 1: through this steamroller of an ad business, and then through 290 00:13:19,720 --> 00:13:24,120 Speaker 1: acquisitions he buys Instagram, WhatsApp as time goes on, and 291 00:13:24,160 --> 00:13:28,400 Speaker 1: then organic growth sort of stalls out on him and 292 00:13:29,440 --> 00:13:31,920 Speaker 1: he has to actually try to do something with the 293 00:13:31,920 --> 00:13:35,480 Speaker 1: company other than ride the wave, and the jury still 294 00:13:35,520 --> 00:13:37,319 Speaker 1: out as to whether or not he's up to that, right. 295 00:13:37,200 --> 00:13:38,600 Speaker 2: Right, Yeah, I mean that happens with a lot of 296 00:13:38,600 --> 00:13:42,120 Speaker 2: people like Microsoft. You remember they went into media. They 297 00:13:42,120 --> 00:13:45,960 Speaker 2: had AMAZN, they had cable, they had all kinds of 298 00:13:46,400 --> 00:13:48,800 Speaker 2: little alley ways they went down, none of which worked 299 00:13:48,800 --> 00:13:50,720 Speaker 2: out except he sold software. 300 00:13:50,360 --> 00:13:52,679 Speaker 1: General electric in a completely different industry. 301 00:13:52,760 --> 00:13:54,800 Speaker 2: Everybody does that, like, you know, even the Google guys, 302 00:13:54,800 --> 00:13:57,600 Speaker 2: they don't like search business, even though it pays for everything, right, 303 00:13:57,640 --> 00:14:00,440 Speaker 2: I think we'll do elevators up the streets of Sanford Cisco. 304 00:14:00,520 --> 00:14:02,880 Speaker 2: What about a barge where we you know, we live 305 00:14:03,160 --> 00:14:05,200 Speaker 2: or whatever. And now you know, these people making their 306 00:14:05,240 --> 00:14:07,880 Speaker 2: town up in Solano County, you know, they get bored 307 00:14:07,920 --> 00:14:10,240 Speaker 2: with what brought them there and they want to do 308 00:14:10,280 --> 00:14:12,440 Speaker 2: something else. And I think all these things have a 309 00:14:12,520 --> 00:14:15,720 Speaker 2: life cycle. Right, people will use Facebook until something else 310 00:14:15,760 --> 00:14:17,719 Speaker 2: better comes alonger they don't like it anymore, they get 311 00:14:17,760 --> 00:14:19,440 Speaker 2: bored with it. There's a limit to growth of it. 312 00:14:19,760 --> 00:14:21,880 Speaker 2: And so you've got to be really prescient. 313 00:14:22,000 --> 00:14:22,160 Speaker 1: You know. 314 00:14:22,200 --> 00:14:24,920 Speaker 2: The only company that really does this over and over 315 00:14:24,960 --> 00:14:29,360 Speaker 2: again has been Apple. Right has continued to evolve relatively successfully, 316 00:14:29,400 --> 00:14:31,480 Speaker 2: although they've had you know, if you don't remember paying 317 00:14:31,520 --> 00:14:34,120 Speaker 2: I do. It was their social network. They tried a 318 00:14:34,160 --> 00:14:35,440 Speaker 2: whole bunch of things that didn't. 319 00:14:35,240 --> 00:14:37,240 Speaker 1: Work, and they're starting to hit some plateaus. 320 00:14:37,520 --> 00:14:40,720 Speaker 2: Everyone says the proper Steve Jobs tied. It's over. It 321 00:14:40,800 --> 00:14:43,280 Speaker 2: was not over forth ten times the amount when he 322 00:14:43,360 --> 00:14:43,760 Speaker 2: was living. 323 00:14:43,840 --> 00:14:47,600 Speaker 1: And they brought in a very competent, boring, skilled manager 324 00:14:47,720 --> 00:14:49,040 Speaker 1: and Tim Cook, not a. 325 00:14:49,000 --> 00:14:51,880 Speaker 2: Bro yeah, and grew it. Didn't just manage it, grew it. 326 00:14:52,480 --> 00:14:55,960 Speaker 2: You know, the Internet's littered with companies that were popular 327 00:14:56,040 --> 00:14:57,640 Speaker 2: and I've forgotten the names of a lot of them, 328 00:14:57,720 --> 00:15:00,400 Speaker 2: right that were super popular and then weren't. And these 329 00:15:00,400 --> 00:15:03,200 Speaker 2: are consumer products in many ways, and so that's normal 330 00:15:03,240 --> 00:15:06,000 Speaker 2: and natural for people to move on from what they're doing. 331 00:15:06,000 --> 00:15:09,160 Speaker 2: And so Facebook certainly has had the longest run of 332 00:15:09,360 --> 00:15:13,320 Speaker 2: successful utility for people who use it, and smartly bought Instagram, 333 00:15:13,360 --> 00:15:17,160 Speaker 2: which still remains really interesting. I think what's hard is, 334 00:15:17,240 --> 00:15:19,960 Speaker 2: just like with Google, is everything else pales in comparison 335 00:15:19,960 --> 00:15:22,960 Speaker 2: to their original product, and very few companies can change 336 00:15:23,000 --> 00:15:24,360 Speaker 2: course in that regard. 337 00:15:24,920 --> 00:15:29,920 Speaker 1: So how do you see Mark Zuckerberg's management evolving over 338 00:15:29,960 --> 00:15:33,440 Speaker 1: that time, from those heady days when Facebook was just 339 00:15:33,480 --> 00:15:37,000 Speaker 1: a self generating piggybank to now when he's trying to 340 00:15:37,000 --> 00:15:41,040 Speaker 1: find new businesses. He turns through Cheryl Sandberg after a period. 341 00:15:41,160 --> 00:15:42,560 Speaker 2: It was a long time. I know he was ten 342 00:15:42,640 --> 00:15:45,320 Speaker 2: fifteen years. That wasn't a short period. I think Mark 343 00:15:45,360 --> 00:15:47,960 Speaker 2: has an admirable consistency of the managers there. They were 344 00:15:48,000 --> 00:15:51,120 Speaker 2: there ten twelve years, which I think was unusual to stay. 345 00:15:51,560 --> 00:15:54,160 Speaker 1: I think the shift from Cheryl Sandberg to Nick Clegg 346 00:15:54,440 --> 00:15:55,760 Speaker 1: is meaningful in terms of. 347 00:15:56,000 --> 00:15:58,440 Speaker 2: Well that's just it's a late stage company, right, late 348 00:15:58,480 --> 00:16:00,800 Speaker 2: stage company for internet companies which have a very short, 349 00:16:00,880 --> 00:16:03,800 Speaker 2: much shorter life cycle. You know, Cheryl was critically important. 350 00:16:03,800 --> 00:16:06,280 Speaker 2: Mark had a chaotic management style for a long time 351 00:16:06,280 --> 00:16:08,400 Speaker 2: because he was young and never he's actually quite good 352 00:16:08,400 --> 00:16:09,040 Speaker 2: as a manager. 353 00:16:09,080 --> 00:16:10,320 Speaker 1: And she was the adult in the room. 354 00:16:10,440 --> 00:16:13,400 Speaker 2: Well I hate the expression, but yeah, sure, I think 355 00:16:13,400 --> 00:16:15,240 Speaker 2: you know, she just knew how to run a business 356 00:16:15,320 --> 00:16:18,240 Speaker 2: right with stuff he wasn't interested in. He was interested 357 00:16:18,280 --> 00:16:20,560 Speaker 2: in the products. She was interested in business. And she 358 00:16:20,560 --> 00:16:22,680 Speaker 2: had come from Google where she ran the most boring 359 00:16:22,720 --> 00:16:24,600 Speaker 2: part of Google that did really well, which is this 360 00:16:24,720 --> 00:16:28,240 Speaker 2: ad serving business. And she really should get a lot 361 00:16:28,240 --> 00:16:31,160 Speaker 2: of credit for, you know, jacking the ad business as 362 00:16:31,280 --> 00:16:33,520 Speaker 2: high as they did, and they had a great partnership 363 00:16:33,560 --> 00:16:35,560 Speaker 2: for a very long time. And I just think it 364 00:16:35,640 --> 00:16:38,480 Speaker 2: evolves over time and again as these people get rich, 365 00:16:38,600 --> 00:16:41,280 Speaker 2: as they get wealthier, they get bored with what brong them. 366 00:16:41,280 --> 00:16:43,800 Speaker 2: They don't like oh, or in the wire hanger business, 367 00:16:43,800 --> 00:16:45,760 Speaker 2: I'd rather own a sports team, right, you know what 368 00:16:45,840 --> 00:16:48,600 Speaker 2: I mean? Like nobody wants to be what they were, 369 00:16:49,240 --> 00:16:51,240 Speaker 2: And so I think he evolved, and then of course 370 00:16:51,240 --> 00:16:54,360 Speaker 2: he got hit with all the accusations around misinformation and 371 00:16:54,760 --> 00:16:59,560 Speaker 2: Russian involvement and meddlesomeness and. 372 00:16:58,360 --> 00:16:59,520 Speaker 1: For division and hate. 373 00:16:59,560 --> 00:17:02,640 Speaker 2: And so what does he do. He renames the company 374 00:17:02,680 --> 00:17:05,639 Speaker 2: going down another alley, which is the metaverse, which I 375 00:17:05,640 --> 00:17:08,840 Speaker 2: think has proved rather expensive and quite premature. 376 00:17:09,040 --> 00:17:12,000 Speaker 1: Well, and also sort of imposed that on an entire 377 00:17:12,119 --> 00:17:14,240 Speaker 1: company because it was his idea and he thought it 378 00:17:14,280 --> 00:17:15,040 Speaker 1: was the way to get ys. 379 00:17:15,240 --> 00:17:17,840 Speaker 2: Well, because he controls the company, he can't be fired. 380 00:17:17,640 --> 00:17:21,040 Speaker 1: Right, But this is also to me another sort of 381 00:17:21,480 --> 00:17:25,840 Speaker 1: signal moment and whether or not young Mark can evolve 382 00:17:25,880 --> 00:17:28,639 Speaker 1: into a good manager, like the embrace of meta as 383 00:17:28,680 --> 00:17:31,399 Speaker 1: both an idea and a name and a direction for 384 00:17:31,480 --> 00:17:33,800 Speaker 1: the company. Yeah, that he sort of jams down. 385 00:17:34,040 --> 00:17:36,640 Speaker 2: He was trying to pretend he wasn't you know, No, No, 386 00:17:36,680 --> 00:17:39,640 Speaker 2: I'm not Genghis Khan. I'm really Phil Jackson. I don't 387 00:17:39,680 --> 00:17:41,680 Speaker 2: know whatever. He just wanted to change his name. He 388 00:17:41,720 --> 00:17:44,800 Speaker 2: didn't want to be one thing, you know, ignore that 389 00:17:44,920 --> 00:17:47,800 Speaker 2: over there. I'm over here doing this fabulous future stuff. 390 00:17:47,800 --> 00:17:50,000 Speaker 2: He should have said AI really is what he should 391 00:17:50,040 --> 00:17:52,679 Speaker 2: have said, but he said metaverse instead. And you know, 392 00:17:52,840 --> 00:17:55,080 Speaker 2: with the time, we were like, no, this is so early, 393 00:17:55,200 --> 00:17:58,200 Speaker 2: this is so wrong. But it's his party's he controls 394 00:17:58,200 --> 00:17:59,879 Speaker 2: the company. So that's the way it is. 395 00:18:00,480 --> 00:18:02,840 Speaker 1: So let's focus on Elon for a second. He launches 396 00:18:03,040 --> 00:18:04,560 Speaker 1: PayPal famously with people. 397 00:18:04,680 --> 00:18:06,840 Speaker 2: He did not launch PayPal. No, that's not true. 398 00:18:07,119 --> 00:18:09,240 Speaker 1: Well, it was through a merger with X dot com. 399 00:18:09,280 --> 00:18:13,160 Speaker 2: And they were they were competitors. PayPal existed, they were rivals. 400 00:18:13,160 --> 00:18:15,439 Speaker 2: They didn't like each other. That gang Elon's gang and 401 00:18:15,480 --> 00:18:16,000 Speaker 2: the other gang. 402 00:18:16,080 --> 00:18:17,879 Speaker 1: Well he had X and the other I can't remember 403 00:18:17,880 --> 00:18:22,480 Speaker 1: the other companies that merged form PayPal doesn't. We're probably 404 00:18:22,520 --> 00:18:24,040 Speaker 1: bore people all they In. 405 00:18:24,000 --> 00:18:26,480 Speaker 2: Any case, they merged them because they were competitors. They 406 00:18:26,480 --> 00:18:28,320 Speaker 2: didn't want to compete. That really was what they were 407 00:18:28,320 --> 00:18:28,560 Speaker 2: doing this. 408 00:18:28,560 --> 00:18:29,680 Speaker 1: So so PayPal comes in. 409 00:18:29,840 --> 00:18:31,560 Speaker 2: Yeah, and they all got together and they had a 410 00:18:31,600 --> 00:18:34,040 Speaker 2: lot of problems with each other, and Elon got you know, 411 00:18:34,160 --> 00:18:37,080 Speaker 2: jammed out of PayPal in a lot of ways. And 412 00:18:37,160 --> 00:18:38,440 Speaker 2: they all made money. 413 00:18:38,200 --> 00:18:40,400 Speaker 1: But he gets some of the spoils though when they 414 00:18:40,440 --> 00:18:41,560 Speaker 1: sell it to eBay, right. 415 00:18:41,600 --> 00:18:43,439 Speaker 2: I mean, that was a very lucky thing for all 416 00:18:43,480 --> 00:18:44,320 Speaker 2: of them. 417 00:18:44,280 --> 00:18:46,920 Speaker 1: Especially for Elon, and that it gave him a lot 418 00:18:46,960 --> 00:18:50,399 Speaker 1: of cash that he uses to seed space x and 419 00:18:50,440 --> 00:18:53,320 Speaker 1: to take a steak in Tesla all around the same period. 420 00:18:53,720 --> 00:18:55,600 Speaker 2: It was unusual because all of them went often did 421 00:18:55,640 --> 00:18:58,399 Speaker 2: stupid things. And Elon he really attracted my notice because 422 00:18:58,800 --> 00:19:01,520 Speaker 2: he wasn't doing dumb things. I was like, huh, you 423 00:19:01,560 --> 00:19:04,480 Speaker 2: know rockets, cars, Oh cool, you know what I mean. 424 00:19:04,520 --> 00:19:07,879 Speaker 2: It was very ambitious and really interesting and AI. He 425 00:19:07,960 --> 00:19:10,320 Speaker 2: was very early. He's one of the first people who 426 00:19:10,320 --> 00:19:13,280 Speaker 2: ever talked about AI with me was Elon Musk, especially 427 00:19:13,320 --> 00:19:16,040 Speaker 2: the dangers of AI, and so yeah, he was very serious, 428 00:19:16,080 --> 00:19:19,080 Speaker 2: like another serious minded person who was doing substantive things 429 00:19:19,160 --> 00:19:21,520 Speaker 2: rather than oh, I think I'll become a VC and 430 00:19:21,600 --> 00:19:25,119 Speaker 2: funded dating service and you know whatever. They were all 431 00:19:25,160 --> 00:19:27,359 Speaker 2: so stupid, you were like, oh, I can't talk to you. 432 00:19:27,400 --> 00:19:29,880 Speaker 2: But Elon was always interesting well, and you know. 433 00:19:29,800 --> 00:19:33,320 Speaker 1: He single handedly gets the US with the government's help, 434 00:19:33,760 --> 00:19:37,880 Speaker 1: notably with massive government subsidies both at SpaceX and Tesla. 435 00:19:38,200 --> 00:19:39,200 Speaker 1: In different got alone. 436 00:19:39,200 --> 00:19:41,120 Speaker 2: It would have gone out of business without government help. 437 00:19:41,520 --> 00:19:44,200 Speaker 1: And he got government contracts from NASA at SpaceX. 438 00:19:44,320 --> 00:19:46,439 Speaker 2: Yeah, he has them. He continues to he has. 439 00:19:46,320 --> 00:19:48,159 Speaker 1: Them, and it was sort of the foundation of his 440 00:19:48,240 --> 00:19:50,160 Speaker 1: viability was getting those one one hundred percent. 441 00:19:50,200 --> 00:19:52,679 Speaker 2: He's the biggest government handout person I know then a 442 00:19:52,680 --> 00:19:53,320 Speaker 2: good success. 443 00:19:53,400 --> 00:19:53,640 Speaker 1: Yay. 444 00:19:54,160 --> 00:19:57,160 Speaker 2: He literally is the ad for why government's good. 445 00:19:58,119 --> 00:20:01,600 Speaker 1: It's corporate welfare. But it's good corporate welfare. You know. 446 00:20:01,680 --> 00:20:06,840 Speaker 1: It created a world beating commercial space center, missile enterprise, 447 00:20:07,040 --> 00:20:11,960 Speaker 1: and rocket enterprise, and a transformative EV company, So kudos 448 00:20:12,000 --> 00:20:14,120 Speaker 1: to him. Those aren't small things, oh they're not. Makes 449 00:20:14,160 --> 00:20:18,120 Speaker 1: him the world's wealthiest man. And then he decides, as 450 00:20:18,200 --> 00:20:22,160 Speaker 1: I think he becomes increasingly erratic, he decides to buy 451 00:20:22,200 --> 00:20:26,560 Speaker 1: Twitter for forty four billion dollars. Right, he did, and 452 00:20:26,760 --> 00:20:29,280 Speaker 1: that's hardly the sign of someone who is a shrewd 453 00:20:30,080 --> 00:20:30,640 Speaker 1: invest way. 454 00:20:30,680 --> 00:20:32,879 Speaker 2: Well we'll see, won't we Maybe he'll turn it around. 455 00:20:33,200 --> 00:20:35,560 Speaker 2: It was never a very good business, like let's start with. 456 00:20:35,760 --> 00:20:37,960 Speaker 2: It was a terrible business all of its life since 457 00:20:38,000 --> 00:20:41,040 Speaker 2: it was founded, and it was badly managed, except for 458 00:20:41,080 --> 00:20:43,159 Speaker 2: maybe Dick Costlow had a bit of a bright spot, 459 00:20:43,200 --> 00:20:45,760 Speaker 2: but it never reached the potential. Everybody thought it was you, 460 00:20:45,800 --> 00:20:46,960 Speaker 2: everyone thought it was Facebook. 461 00:20:47,040 --> 00:20:49,560 Speaker 1: It was never a Facebook in any scope. 462 00:20:49,280 --> 00:20:52,040 Speaker 2: Never made money for the users, never moved off of 463 00:20:52,119 --> 00:20:55,040 Speaker 2: nineteen dots, was always at nineteen dollars, I recall. But 464 00:20:55,240 --> 00:20:56,880 Speaker 2: it was badly managed. 465 00:20:56,560 --> 00:20:58,800 Speaker 1: So it wasn't necessarily a company he'd pay forty four 466 00:20:58,800 --> 00:20:59,399 Speaker 1: billion dollars. 467 00:20:59,400 --> 00:21:00,800 Speaker 2: No, I think it was. You know, it had a 468 00:21:00,880 --> 00:21:03,119 Speaker 2: high there during the pandemic. I think you know, who 469 00:21:03,200 --> 00:21:05,199 Speaker 2: knows why stock goes up or down, but you know 470 00:21:05,240 --> 00:21:07,960 Speaker 2: it definitely if you zeroed it out over the history 471 00:21:08,000 --> 00:21:10,199 Speaker 2: of it, you wouldn't have paid that. No, you wouldn't 472 00:21:10,200 --> 00:21:12,200 Speaker 2: have paid for that. But I thought he would do 473 00:21:12,280 --> 00:21:14,520 Speaker 2: a good job. I needed someone like him to come 474 00:21:14,520 --> 00:21:17,000 Speaker 2: in and be king of the place, rather than do you. 475 00:21:17,040 --> 00:21:18,800 Speaker 1: Really think he'd do a good job when he first 476 00:21:18,840 --> 00:21:19,040 Speaker 1: took it. 477 00:21:19,200 --> 00:21:21,240 Speaker 2: I did because it was a goat rodeo over there, 478 00:21:21,280 --> 00:21:23,080 Speaker 2: and it was all these CEOs that came in and 479 00:21:23,080 --> 00:21:25,679 Speaker 2: out and all these feelings. It was the most emotional 480 00:21:25,680 --> 00:21:28,080 Speaker 2: company you've ever deal with. You're sort of like, are 481 00:21:28,080 --> 00:21:31,080 Speaker 2: you kidding me? With all your various and sundry dramas 482 00:21:31,119 --> 00:21:33,720 Speaker 2: between each other, you know, all the founders and like 483 00:21:33,760 --> 00:21:36,120 Speaker 2: this founder, you know, it was really exhausting to cover them. 484 00:21:36,119 --> 00:21:38,840 Speaker 2: And again, it never met its potential of its influence. 485 00:21:38,840 --> 00:21:40,360 Speaker 2: It had a lot of influence, but not a lot 486 00:21:40,359 --> 00:21:44,240 Speaker 2: of business and very difficult issues around same thing polarization. 487 00:21:44,320 --> 00:21:47,320 Speaker 2: They just didn't have the resources that Facebook did, and 488 00:21:47,400 --> 00:21:50,200 Speaker 2: so you know, anyone could come in and do something. 489 00:21:49,920 --> 00:21:52,080 Speaker 1: With it if they were the right person, right, and. 490 00:21:52,040 --> 00:21:54,480 Speaker 2: He certainly had the means and the motivation. He loved 491 00:21:54,480 --> 00:21:58,280 Speaker 2: the product. It obviously spoke to him in some deep 492 00:21:58,320 --> 00:22:01,120 Speaker 2: way personally and emotionally, and so I thought. 493 00:22:00,960 --> 00:22:03,680 Speaker 1: I had no experience, and I do think managing a 494 00:22:03,760 --> 00:22:05,480 Speaker 1: media company requires a certain comp. 495 00:22:05,280 --> 00:22:09,359 Speaker 2: Well, they try to pretend. I know, of course it is, 496 00:22:09,359 --> 00:22:12,159 Speaker 2: but they pretend it is it's a communications company. I 497 00:22:12,200 --> 00:22:14,119 Speaker 2: always thought it was a media company and thought that 498 00:22:14,240 --> 00:22:16,200 Speaker 2: was the direction it should go in. And I was 499 00:22:16,280 --> 00:22:19,960 Speaker 2: working with Twitter to actually monetize spaces and all this stuff. 500 00:22:19,960 --> 00:22:22,520 Speaker 2: And then he comes in and I thought, okay, all right. 501 00:22:22,560 --> 00:22:24,679 Speaker 2: We exchanged a bunch of emails about it. I was like, 502 00:22:24,680 --> 00:22:27,000 Speaker 2: all right, you've got the money, you got the attention, 503 00:22:27,440 --> 00:22:29,800 Speaker 2: you could bring in a smart media executive and really 504 00:22:29,960 --> 00:22:33,680 Speaker 2: do something. Finally, like one person making a decision, because again, 505 00:22:33,880 --> 00:22:35,560 Speaker 2: you know, I used to jokingly because I'm a lesbian, 506 00:22:35,600 --> 00:22:37,240 Speaker 2: I can say that it was like a lesbian collective, 507 00:22:37,359 --> 00:22:40,119 Speaker 2: Like no decisions were made ever, like everyone with feelings 508 00:22:40,160 --> 00:22:42,920 Speaker 2: were hurt all the time. That's a cliche, Lesbian's not true, 509 00:22:43,240 --> 00:22:46,000 Speaker 2: but it was really. There was a small handful of 510 00:22:46,040 --> 00:22:49,200 Speaker 2: people who could have brought order to the place. Instead, 511 00:22:49,280 --> 00:22:53,080 Speaker 2: it's his personality disorders writ large unfortunately. 512 00:22:53,880 --> 00:22:55,480 Speaker 1: Yeah. I mean I think maybe we part ways on 513 00:22:55,520 --> 00:22:57,199 Speaker 1: that one because I thought in the very beginning he 514 00:22:57,280 --> 00:22:59,320 Speaker 1: was the worst sort of person to take Twitter over 515 00:22:59,440 --> 00:23:03,000 Speaker 1: because he lack the experiencing insight for that particular company. 516 00:23:03,119 --> 00:23:04,119 Speaker 1: I hid. 517 00:23:04,359 --> 00:23:06,920 Speaker 2: I thought, yes, the COVID stuff was strange. 518 00:23:06,560 --> 00:23:09,480 Speaker 1: The COVID denier. You know, I'm a free speech absolutist, 519 00:23:09,520 --> 00:23:12,880 Speaker 1: but meanwhile he's crushing free speech within his own company, 520 00:23:12,880 --> 00:23:14,800 Speaker 1: and he's going after people who criticize him. 521 00:23:14,880 --> 00:23:18,040 Speaker 2: Yeah, that's critical textures. Well, when has that ever happened? 522 00:23:18,680 --> 00:23:20,359 Speaker 1: Yeah, but it doesn't suggest you're the best guy to 523 00:23:20,440 --> 00:23:21,400 Speaker 1: run a media company. 524 00:23:21,760 --> 00:23:23,960 Speaker 2: All I was saying is one person making the decisions. 525 00:23:23,960 --> 00:23:26,520 Speaker 2: I thought he would hire a very smart meet executive 526 00:23:26,520 --> 00:23:28,040 Speaker 2: and get out of the way. But he didn't, because 527 00:23:28,040 --> 00:23:31,520 Speaker 2: this is about him and his personality, right, his larger 528 00:23:31,960 --> 00:23:35,240 Speaker 2: you know, emotional well being so to speak. 529 00:23:35,400 --> 00:23:38,480 Speaker 1: Did all of that sort of erratic behavior with him, 530 00:23:38,520 --> 00:23:41,280 Speaker 1: And you know, as he see investigates him for securities 531 00:23:41,280 --> 00:23:42,879 Speaker 1: broad for saying the saud He's going to help him 532 00:23:42,880 --> 00:23:46,320 Speaker 1: take Tesla private. That seems to have definitely all been 533 00:23:46,359 --> 00:23:50,800 Speaker 1: built on smoke. Did any of that surprise you over 534 00:23:50,840 --> 00:23:53,320 Speaker 1: the arc of time from when you first met him 535 00:23:53,359 --> 00:23:53,880 Speaker 1: to who. 536 00:23:53,680 --> 00:23:55,960 Speaker 2: He is now, Yes and no, like you saw it there. 537 00:23:56,040 --> 00:23:58,480 Speaker 2: You know, he had a juvenile interest in memes and 538 00:23:58,560 --> 00:24:01,520 Speaker 2: especially move memes, and I had teenage boys at the time. 539 00:24:01,560 --> 00:24:03,480 Speaker 2: I'm like, oh, look it's another one, you know, so 540 00:24:03,560 --> 00:24:06,040 Speaker 2: I had recognized the pattern. You know, he had a 541 00:24:06,040 --> 00:24:09,960 Speaker 2: lot of juvenilia, like very much sort of like stupid jokes. 542 00:24:10,240 --> 00:24:12,119 Speaker 2: You know. The COVID thing was the first time I 543 00:24:12,200 --> 00:24:15,399 Speaker 2: was like, huh, that's weird. You know, that's weird. And 544 00:24:15,440 --> 00:24:18,280 Speaker 2: then those stuff at the factories around racism and stuff 545 00:24:18,320 --> 00:24:20,680 Speaker 2: like that started to pop up. You know, he wasn't 546 00:24:20,720 --> 00:24:23,640 Speaker 2: that different from other ones. And actually he was somewhat 547 00:24:23,840 --> 00:24:26,000 Speaker 2: I would say, delightful to talk to because he was 548 00:24:26,240 --> 00:24:29,000 Speaker 2: very odd and interesting and he had you know, again, 549 00:24:29,040 --> 00:24:31,159 Speaker 2: he was the first person who talked about the dangers 550 00:24:31,200 --> 00:24:33,520 Speaker 2: of AI. This was a decade and a half ago, right, 551 00:24:33,560 --> 00:24:35,679 Speaker 2: a long time ago, and nobody was talking about that. 552 00:24:35,720 --> 00:24:38,440 Speaker 2: They were all talking about whatever the latest stupid trend 553 00:24:38,560 --> 00:24:40,440 Speaker 2: was for the day, and he wasn't. He was very 554 00:24:40,440 --> 00:24:43,440 Speaker 2: prescient about a lot of stuff, including cars, and space 555 00:24:43,560 --> 00:24:46,240 Speaker 2: and everything else, and so you'd see flashes of it. 556 00:24:46,280 --> 00:24:49,080 Speaker 2: I always say, like about ten percent of his personality 557 00:24:49,160 --> 00:24:53,840 Speaker 2: was really distasteful, I guess, and the rest was really interesting. 558 00:24:54,040 --> 00:24:57,840 Speaker 2: And with all the caveats you have about these egomaniacal, arrogant, 559 00:24:57,920 --> 00:25:02,399 Speaker 2: narcissistic founders. And then something happened, something turned. It's like 560 00:25:02,520 --> 00:25:07,280 Speaker 2: milk spoiled. Everything became about victimization. He felt under siege. 561 00:25:07,480 --> 00:25:08,440 Speaker 2: I know it sounds dumb. 562 00:25:08,560 --> 00:25:10,640 Speaker 1: Do you think that's a different turn than the turn 563 00:25:10,760 --> 00:25:11,520 Speaker 1: Zuckerberg took. 564 00:25:12,000 --> 00:25:14,960 Speaker 2: I don't think Juckberg's changed personally, No, I don't. I 565 00:25:14,960 --> 00:25:18,399 Speaker 2: think he's matured and he's developed as a man, I think. 566 00:25:18,560 --> 00:25:21,600 Speaker 2: And in terms of elon he went backwards. He's like 567 00:25:21,680 --> 00:25:25,720 Speaker 2: Benjamin Button, you know, except the jerk, the jerkish Benjamin Button. 568 00:25:26,200 --> 00:25:28,800 Speaker 2: And so those parts of his personality as he got 569 00:25:28,840 --> 00:25:31,560 Speaker 2: to be the richest man in the world, and especially 570 00:25:31,560 --> 00:25:34,639 Speaker 2: with enablers or the wrong people around him, started to 571 00:25:34,680 --> 00:25:38,440 Speaker 2: get really ugly. Just these people, all of whom are 572 00:25:38,480 --> 00:25:40,760 Speaker 2: paid by him. And you know, this idea of all 573 00:25:40,760 --> 00:25:44,360 Speaker 2: these fans like licking him up and down. It's affected 574 00:25:44,359 --> 00:25:47,560 Speaker 2: his personality, you know, and including his family relationships with 575 00:25:47,600 --> 00:25:50,520 Speaker 2: his now daughter. You know, if you talk to people 576 00:25:50,720 --> 00:25:53,880 Speaker 2: around him, and they'll only talk off the record because 577 00:25:53,880 --> 00:25:57,160 Speaker 2: they're terrified of getting off the gravy train. They are worried. 578 00:25:57,520 --> 00:26:00,200 Speaker 2: They are worried about that. But you know, they all 579 00:26:00,280 --> 00:26:03,199 Speaker 2: allow it to happen because he's the center. He's the 580 00:26:03,240 --> 00:26:06,800 Speaker 2: son of a particular universe and very powerful. It's so classic, 581 00:26:06,840 --> 00:26:09,480 Speaker 2: you know, it's classic with royalty. It's you know, this 582 00:26:09,520 --> 00:26:10,600 Speaker 2: is not a news story. 583 00:26:10,880 --> 00:26:12,480 Speaker 1: It's how power functions. 584 00:26:12,160 --> 00:26:15,440 Speaker 2: Well some power, but like kings, they get a little nutty, 585 00:26:15,480 --> 00:26:17,479 Speaker 2: you know what I mean, Like it just happens when 586 00:26:17,560 --> 00:26:20,600 Speaker 2: nobody says, hey, just a second, and anyone who said hey, 587 00:26:20,760 --> 00:26:24,040 Speaker 2: just a second, he's thrown out of the kingdom, myself included. 588 00:26:24,600 --> 00:26:26,879 Speaker 2: You know whatever, I don't care. I have plenty of friends. 589 00:26:28,359 --> 00:26:30,120 Speaker 1: I'm going to take another break care and then we'll 590 00:26:30,119 --> 00:26:36,080 Speaker 1: come right back. I'm back with Kars Swisher. We're talking 591 00:26:36,119 --> 00:26:39,920 Speaker 1: about tech bros and tech brodom. I asked you this earlier, 592 00:26:39,960 --> 00:26:41,879 Speaker 1: and I want to come back to the degree to 593 00:26:41,920 --> 00:26:45,520 Speaker 1: which Zuckerberg and Musque aren't that much different from their 594 00:26:45,560 --> 00:26:48,600 Speaker 1: compatriots in Silicon Valley. I think of Jack Dorsey as 595 00:26:48,640 --> 00:26:51,639 Speaker 1: sort of a junior mint version of this. You know, 596 00:26:52,480 --> 00:26:55,959 Speaker 1: somehow they let him be the CEO of two companies simultaneously. 597 00:26:56,119 --> 00:26:56,359 Speaker 2: They did. 598 00:26:56,359 --> 00:26:59,640 Speaker 1: It wasn't really good at being the CEO of one company, 599 00:27:00,119 --> 00:27:02,240 Speaker 1: much less too, but he got away with it. You 600 00:27:02,280 --> 00:27:07,199 Speaker 1: don't see many women or executives of color anywhere in 601 00:27:07,200 --> 00:27:11,760 Speaker 1: the US being granted those sorts of opportunities and second chances. 602 00:27:12,280 --> 00:27:14,720 Speaker 1: And then, you know, I do think of Tim Cook 603 00:27:15,160 --> 00:27:17,080 Speaker 1: as a sort of the polar opposite of both of 604 00:27:17,119 --> 00:27:19,000 Speaker 1: these guys. And I think there's a lesson in that 605 00:27:19,960 --> 00:27:23,119 Speaker 1: about how you manage the trajectory of successful companies. That 606 00:27:23,200 --> 00:27:28,440 Speaker 1: maybe you need these crazy geniuses who are completely self 607 00:27:28,440 --> 00:27:31,639 Speaker 1: assured for a certain part of the company's trajectory, but 608 00:27:31,720 --> 00:27:34,360 Speaker 1: then the grown ups have to come in and put 609 00:27:34,400 --> 00:27:36,359 Speaker 1: their hands on the steering wheel and move it along. 610 00:27:36,920 --> 00:27:38,400 Speaker 1: Do you agree with that or do you think that's 611 00:27:38,400 --> 00:27:38,840 Speaker 1: too simple? 612 00:27:38,880 --> 00:27:40,400 Speaker 2: As I do think it's too similar, because I think 613 00:27:40,400 --> 00:27:43,320 Speaker 2: Tim was there from the beginning of the recovery of Apple, right, 614 00:27:43,400 --> 00:27:45,520 Speaker 2: So it wasn't like he just was brought in to 615 00:27:45,840 --> 00:27:48,639 Speaker 2: deal with difficult Steve just Sue Jobs was a great manager, right, 616 00:27:48,680 --> 00:27:50,960 Speaker 2: you know what I mean? Like, and so was Jeff Bezos, 617 00:27:51,359 --> 00:27:53,400 Speaker 2: lots of mistakes made by both of them, and. 618 00:27:53,320 --> 00:27:55,720 Speaker 1: In fact, Steve jobs knew Tim Cook was somebody he 619 00:27:55,800 --> 00:27:57,800 Speaker 1: needed to have there must. 620 00:27:57,840 --> 00:27:59,679 Speaker 2: So yeah, there were a lot of choices at that company, 621 00:27:59,760 --> 00:28:02,640 Speaker 2: but he picked the one who I think, you know, typically, 622 00:28:02,760 --> 00:28:04,560 Speaker 2: I remember when he died, everyone was like, oh, not 623 00:28:04,640 --> 00:28:07,199 Speaker 2: this guy, this boring guy, this guy, this guy, And 624 00:28:07,640 --> 00:28:09,200 Speaker 2: I was like, I don't know, I feel like he's 625 00:28:09,240 --> 00:28:12,200 Speaker 2: been running what's been important to that company, creativity. There's 626 00:28:12,200 --> 00:28:14,720 Speaker 2: a lot of creative people there. So this myth of 627 00:28:14,760 --> 00:28:17,280 Speaker 2: the one god who can solve everything, I think is 628 00:28:17,320 --> 00:28:19,600 Speaker 2: not a new and front. You remember Leiahkca only he 629 00:28:19,640 --> 00:28:21,880 Speaker 2: could do it. It's sort of part of the corporate 630 00:28:21,880 --> 00:28:25,560 Speaker 2: mental well again, but in that case, yes, right until 631 00:28:25,720 --> 00:28:29,679 Speaker 2: no speaking to someone who had really distasteful opinions about 632 00:28:29,840 --> 00:28:32,560 Speaker 2: Jewish people, et cetera. Think about that today. I just 633 00:28:32,680 --> 00:28:35,280 Speaker 2: think Twitter was around for a lot of these people. Yeah. 634 00:28:35,320 --> 00:28:39,120 Speaker 1: Yeah, there would have been reputations in flames much earlier. 635 00:28:39,600 --> 00:28:42,520 Speaker 2: Yeah maybe, but now it doesn't matter. You can be shameless, 636 00:28:42,520 --> 00:28:44,680 Speaker 2: you know, and I think Donald Trump introduced that you 637 00:28:44,720 --> 00:28:46,840 Speaker 2: can be shameless and you actually do better. 638 00:28:46,640 --> 00:28:48,840 Speaker 1: And it's celebrated. In fact, in certain cases. 639 00:28:49,160 --> 00:28:51,640 Speaker 2: Yeah, yeah, it's cool. I always love when they all 640 00:28:51,680 --> 00:28:54,160 Speaker 2: do this fight the man. I'm like, you are the 641 00:28:54,240 --> 00:28:56,680 Speaker 2: fucking man, Like you know what i mean, Like, that's 642 00:28:56,720 --> 00:28:59,920 Speaker 2: my favorite. I'm like, I'm sorry, but you know, revolutions 643 00:29:01,960 --> 00:29:04,640 Speaker 2: in Rome, the people who helped overthrow the Republic were 644 00:29:04,680 --> 00:29:07,880 Speaker 2: some of its nobles, right, the Cracktree brothers. I think 645 00:29:07,880 --> 00:29:08,560 Speaker 2: that's their names. 646 00:29:08,840 --> 00:29:09,040 Speaker 1: You know. 647 00:29:09,040 --> 00:29:11,640 Speaker 2: That often happens, you know, or Donald Trump. I'm with you, 648 00:29:11,760 --> 00:29:14,640 Speaker 2: people of Goal Mining Country. I'm like, are you kidding me? 649 00:29:14,920 --> 00:29:17,040 Speaker 2: You live in a golden palace in New York City 650 00:29:17,040 --> 00:29:20,080 Speaker 2: and Manhattan. But that's okay. It works for people, right, 651 00:29:20,160 --> 00:29:22,400 Speaker 2: I'm your friend. And so you have to create this 652 00:29:23,000 --> 00:29:25,720 Speaker 2: very pet Barnum like structure around you where you have 653 00:29:25,840 --> 00:29:30,440 Speaker 2: to overstate you're already myriad of accomplishments in order to 654 00:29:31,080 --> 00:29:34,120 Speaker 2: engender more love and more attention and everything else. And 655 00:29:34,200 --> 00:29:36,400 Speaker 2: one of the things I like about Mark is I 656 00:29:36,440 --> 00:29:40,280 Speaker 2: don't think, except for his kickboxing, which is fine, you know, 657 00:29:40,520 --> 00:29:42,880 Speaker 2: he doesn't really seek attention. I think he's kind of 658 00:29:42,920 --> 00:29:45,920 Speaker 2: proud of it. I guess I don't feel irritated by that, 659 00:29:46,000 --> 00:29:48,320 Speaker 2: And I'm not particularly irritated by Jeff Bezos putting up 660 00:29:48,360 --> 00:29:52,280 Speaker 2: chest shots of himself. You look good, Jeff, Okay, you 661 00:29:52,320 --> 00:29:54,320 Speaker 2: should be happy with just that you look good, But 662 00:29:54,720 --> 00:29:57,240 Speaker 2: I'm okay. I'm like, okay, he's proud of his nice 663 00:29:57,440 --> 00:29:59,600 Speaker 2: physique now because he used to be kind of wimpy looking, 664 00:30:00,200 --> 00:30:03,160 Speaker 2: and those are fine. But Elon needs attention every day, 665 00:30:03,200 --> 00:30:05,120 Speaker 2: so I has to do you know, another stunt that's 666 00:30:05,160 --> 00:30:07,480 Speaker 2: even crazier. You feel like you're in the middle of network, 667 00:30:07,520 --> 00:30:09,880 Speaker 2: the movie network. Right, What am I going to do today? Oh, 668 00:30:09,960 --> 00:30:13,160 Speaker 2: let's attack the Jews. Oh today, trans people. Let's not 669 00:30:13,240 --> 00:30:15,640 Speaker 2: forget I have a trans child, and so it's even 670 00:30:15,680 --> 00:30:18,520 Speaker 2: more heinous to do that. Today, Let's attack you know, 671 00:30:18,600 --> 00:30:21,480 Speaker 2: Paul Pelosi saying he's part of a gay love triangle 672 00:30:21,720 --> 00:30:25,160 Speaker 2: with no proof whatsoever, and too bad if people get hurt. 673 00:30:25,320 --> 00:30:29,080 Speaker 2: Or today it's you know, Biden's fault. Today it's reporter's fault. 674 00:30:29,080 --> 00:30:32,400 Speaker 2: Like whoever like or say something crazy and everybody pays 675 00:30:32,440 --> 00:30:35,200 Speaker 2: attention to you. It's really sad when you think about it, 676 00:30:35,280 --> 00:30:38,600 Speaker 2: because there are accomplishments here, real accomplishments. 677 00:30:37,840 --> 00:30:40,280 Speaker 1: World changing accomplishments are both of their sides, but. 678 00:30:40,240 --> 00:30:42,400 Speaker 2: They're not as big as they think they are, but 679 00:30:42,440 --> 00:30:44,720 Speaker 2: they're big. Like they're big, but they're not that big. 680 00:30:45,480 --> 00:30:50,360 Speaker 1: Elon is thirteen years older than Zuckerberg, yet he's far 681 00:30:50,440 --> 00:30:53,720 Speaker 1: more of a juvenile delinquent in my humble estimation, and 682 00:30:53,760 --> 00:30:56,920 Speaker 1: it sort of surprised me when Zuckerberg took the bait recently. 683 00:30:57,080 --> 00:30:57,520 Speaker 1: I did too. 684 00:30:57,800 --> 00:30:58,360 Speaker 2: I did too. 685 00:30:58,560 --> 00:31:00,880 Speaker 1: I'll go, I'll do a case match with you. We 686 00:31:00,880 --> 00:31:01,840 Speaker 1: can fight one another. 687 00:31:02,000 --> 00:31:04,560 Speaker 2: I think he's really enthusiastic about it. I do think 688 00:31:04,600 --> 00:31:06,840 Speaker 2: he really loves it. It's given him, you know, just. 689 00:31:06,800 --> 00:31:07,520 Speaker 1: Like the pickleball. 690 00:31:08,120 --> 00:31:10,520 Speaker 2: It's like pickleball. I have friends who've now become really 691 00:31:10,640 --> 00:31:13,080 Speaker 2: pickleball fanatics, and you're like, calm the fuck down. It's 692 00:31:13,200 --> 00:31:15,360 Speaker 2: just a game. But they love it. It changed their lives, 693 00:31:15,400 --> 00:31:15,560 Speaker 2: you know. 694 00:31:16,040 --> 00:31:17,760 Speaker 1: Yeah, yeah, But there's a little difference again, Let's go 695 00:31:17,800 --> 00:31:20,000 Speaker 1: play pickleball on Friday night as to let's beat the 696 00:31:20,000 --> 00:31:22,880 Speaker 1: hell out of each other in a cage. I think 697 00:31:22,880 --> 00:31:24,040 Speaker 1: there's sort of a qualitative. 698 00:31:24,320 --> 00:31:27,720 Speaker 2: It's something look he feels, but I don't look at 699 00:31:27,760 --> 00:31:28,320 Speaker 2: you know what. 700 00:31:28,360 --> 00:31:31,040 Speaker 1: It is not as sport. I think the difference between 701 00:31:31,440 --> 00:31:31,960 Speaker 1: not as sports. 702 00:31:32,000 --> 00:31:34,760 Speaker 2: I'd say the difference between them is parenting. I know, 703 00:31:34,960 --> 00:31:36,720 Speaker 2: I know, I've come back to it. But his parents 704 00:31:36,720 --> 00:31:39,920 Speaker 2: are very nice. I would not say that of Elon's parents. 705 00:31:39,960 --> 00:31:42,200 Speaker 2: I think he had a very troubled childhood. I think 706 00:31:42,200 --> 00:31:43,479 Speaker 2: a lot of that's going to come out in this 707 00:31:43,680 --> 00:31:46,840 Speaker 2: book by Walter Isaacson that said, not everyone who has 708 00:31:46,880 --> 00:31:50,280 Speaker 2: troubled childhoods turns out to be such an asshole. Right, 709 00:31:50,360 --> 00:31:51,920 Speaker 2: You don't have to become an asshole if you have 710 00:31:51,920 --> 00:31:54,760 Speaker 2: a troubled childhood. But I do think there is a 711 00:31:54,840 --> 00:31:58,840 Speaker 2: difference in upbringing with those two in a lot of ways. 712 00:31:59,080 --> 00:32:00,760 Speaker 1: But I do want to come act for one last 713 00:32:00,760 --> 00:32:03,360 Speaker 1: second on the cage match because it's stupid. It to 714 00:32:03,400 --> 00:32:06,280 Speaker 1: me is it's stupid, but it's also emblematic. It is 715 00:32:06,360 --> 00:32:11,480 Speaker 1: emblematic of the sort of excess and mitchismo and juvenile 716 00:32:11,480 --> 00:32:16,880 Speaker 1: delinquency that pervades Silicon Valley despite its successes. In rich 717 00:32:16,880 --> 00:32:18,560 Speaker 1: it was so ridiculous, etc. 718 00:32:19,720 --> 00:32:22,720 Speaker 2: I actually wrote Mark, I said, please, look, I know 719 00:32:22,760 --> 00:32:24,640 Speaker 2: you think we haven't gotten along for a long time 720 00:32:24,720 --> 00:32:26,719 Speaker 2: before because he thinks I'm too critical of the company, 721 00:32:26,760 --> 00:32:30,160 Speaker 2: which okay, whatever, And we had that disastrous interview where 722 00:32:30,160 --> 00:32:31,920 Speaker 2: he's sweat and stuff. So I can see why he 723 00:32:31,960 --> 00:32:35,040 Speaker 2: avoids me, but don't do this. You have daughters, you 724 00:32:35,320 --> 00:32:37,520 Speaker 2: seem to be a pretty decent parent and a very 725 00:32:37,560 --> 00:32:40,320 Speaker 2: decent husband. What are you doing? Like, I'm glad you 726 00:32:40,440 --> 00:32:43,320 Speaker 2: like your sport, but this is ridiculous, fucking spectacle. And 727 00:32:43,360 --> 00:32:45,920 Speaker 2: if you want to raise money, just give part of 728 00:32:45,960 --> 00:32:49,360 Speaker 2: your giant, ridiculous, obscene fortune to someone like you. Don't 729 00:32:49,360 --> 00:32:49,959 Speaker 2: need to do this. 730 00:32:50,520 --> 00:32:52,600 Speaker 1: And so you know, so did he send you a 731 00:32:52,640 --> 00:32:54,880 Speaker 1: selfie of his bicyc No, he didn't any response, He 732 00:32:54,920 --> 00:32:55,600 Speaker 1: didn't respond. 733 00:32:55,720 --> 00:32:58,080 Speaker 2: But can you imagine Gates and Jobs fighting. Let's have 734 00:32:58,120 --> 00:33:00,160 Speaker 2: a fight, Like No, they just what they did as 735 00:33:00,160 --> 00:33:02,600 Speaker 2: they did an interview with me and Walt Moosburg. That 736 00:33:02,720 --> 00:33:05,600 Speaker 2: was great, that was amazing. That was adult, right, you know. 737 00:33:05,560 --> 00:33:08,440 Speaker 1: They had their problem because it was coming together. 738 00:33:08,240 --> 00:33:10,520 Speaker 2: That's right. It was epic. They put aside their differences 739 00:33:10,520 --> 00:33:14,440 Speaker 2: and realized they realized they were together as icons of 740 00:33:14,480 --> 00:33:17,880 Speaker 2: the modern computer age. Together, they really were the two 741 00:33:18,280 --> 00:33:20,200 Speaker 2: just like John Adams and Tupman's Jefferson. 742 00:33:20,240 --> 00:33:22,920 Speaker 1: They belonged to I call that interview. Jobs pointed out 743 00:33:22,960 --> 00:33:26,040 Speaker 1: that Microsoft gave one hundred million dollars to Apple when 744 00:33:26,080 --> 00:33:29,040 Speaker 1: it was flailing, and he posticates. 745 00:33:28,320 --> 00:33:30,400 Speaker 2: A bit too, But it was fine. It was fine, 746 00:33:30,600 --> 00:33:32,880 Speaker 2: but at the end it was he understood because he's 747 00:33:32,920 --> 00:33:35,160 Speaker 2: an adult, and so is Bill Gates, you know, and 748 00:33:35,480 --> 00:33:36,720 Speaker 2: could just imagine them fighting. 749 00:33:36,760 --> 00:33:39,040 Speaker 1: Oh, come back. I can't imagine Zuckerberg and Musco on 750 00:33:39,080 --> 00:33:40,880 Speaker 1: a stage together. And this gets back to my early point. 751 00:33:40,960 --> 00:33:43,200 Speaker 1: I can see Hewlett and Packard on a stage together. 752 00:33:43,200 --> 00:33:46,880 Speaker 1: I could see Harvey Firestone and Thomas Edison on a 753 00:33:46,880 --> 00:33:50,680 Speaker 1: stage together. Are I can't imagine Zuckerberg and Musco on 754 00:33:50,720 --> 00:33:53,520 Speaker 1: a stage together. And in fact, all I'm thinking about 755 00:33:53,760 --> 00:33:57,160 Speaker 1: is that they're jumping around on pogo sticks, challenging each 756 00:33:57,160 --> 00:33:57,920 Speaker 1: other to a cage. 757 00:33:57,920 --> 00:34:00,480 Speaker 2: Matt Well, it was really Musk that was doing it right, 758 00:34:00,600 --> 00:34:02,400 Speaker 2: you know. And then he continued it with his weird 759 00:34:02,400 --> 00:34:04,640 Speaker 2: I'll show up at your house, which is creepy, just 760 00:34:04,720 --> 00:34:06,720 Speaker 2: fucking creepy. But it was all just look at me, 761 00:34:06,800 --> 00:34:09,160 Speaker 2: look at me, someone, please, for the love of God, 762 00:34:09,200 --> 00:34:11,640 Speaker 2: look at me, because I still don't have enough attence. 763 00:34:11,400 --> 00:34:14,080 Speaker 1: You know. And of course it happened after Zuckerberg launched Threads, 764 00:34:14,160 --> 00:34:17,239 Speaker 1: which was a challenge to Twitter, which is now called x. Yeah. 765 00:34:17,239 --> 00:34:19,120 Speaker 2: In the case of Zuckerberg, I don't think he has 766 00:34:19,120 --> 00:34:22,440 Speaker 2: a bottomless well of need. The way musk does. I 767 00:34:22,480 --> 00:34:25,440 Speaker 2: do think he has a satisfying personal life. So I 768 00:34:25,480 --> 00:34:27,520 Speaker 2: just was surprised he was dragged into it. And I 769 00:34:27,520 --> 00:34:29,480 Speaker 2: don't know why he was. I guess he's so proud 770 00:34:29,520 --> 00:34:31,799 Speaker 2: of what he's done with himself that he's doing it. 771 00:34:31,840 --> 00:34:34,680 Speaker 2: But you know, I think suddenly the penny dropped. Oh wait, 772 00:34:34,719 --> 00:34:37,439 Speaker 2: maybe this guy isn't serious, right, Maybe he's making fun 773 00:34:37,440 --> 00:34:39,160 Speaker 2: of a sport I like, or you don't call his 774 00:34:39,239 --> 00:34:42,480 Speaker 2: sport whatever and endeavor I like. And so I just 775 00:34:42,600 --> 00:34:44,799 Speaker 2: was surprised. I'm so glad he's not doing it. And 776 00:34:44,840 --> 00:34:46,919 Speaker 2: of course then he was welcome to the lying world 777 00:34:46,960 --> 00:34:49,120 Speaker 2: of Elon. I've got Rome on the line. The coliseum 778 00:34:49,239 --> 00:34:51,799 Speaker 2: is open, like what like he just says shit and 779 00:34:51,840 --> 00:34:55,799 Speaker 2: then everyone's like, yeah, like, give me a break. There's 780 00:34:55,800 --> 00:34:59,239 Speaker 2: a famous expression from Hollywood. Hello he lied. So I 781 00:34:59,320 --> 00:35:00,919 Speaker 2: just feel like, maybe if he's telling you is maybe 782 00:35:00,920 --> 00:35:02,839 Speaker 2: he's not. I just wouldn't believe anything. And I think 783 00:35:02,880 --> 00:35:04,440 Speaker 2: Mark was taken in in that regard. 784 00:35:04,960 --> 00:35:11,080 Speaker 1: Linda oapst that to her, it's a great line. So 785 00:35:11,120 --> 00:35:14,840 Speaker 1: Silicon Valley is still very male and it's very white. 786 00:35:16,040 --> 00:35:19,680 Speaker 1: Are tech bros? And is that status quo a forever phenomena. 787 00:35:19,880 --> 00:35:23,360 Speaker 2: Yes, sorry, what's going to change what's changed in our society? 788 00:35:23,360 --> 00:35:25,440 Speaker 1: Well, that's when I'm asking you, like, what would change that? 789 00:35:26,239 --> 00:35:28,839 Speaker 2: I don't know. I think our overall society is like that. 790 00:35:28,880 --> 00:35:30,879 Speaker 2: Look at most of the attacks when women are led 791 00:35:30,880 --> 00:35:34,040 Speaker 2: by men right now, like about abortion rights and everything else. 792 00:35:34,080 --> 00:35:36,520 Speaker 2: I just you know, as long as there's not equal 793 00:35:36,600 --> 00:35:39,000 Speaker 2: numbers of women in power, and not every woman has 794 00:35:39,040 --> 00:35:41,279 Speaker 2: to agree. There's a lot of anti abortion activists or 795 00:35:41,360 --> 00:35:44,000 Speaker 2: women some of the more powerful ones too. But you know, 796 00:35:44,080 --> 00:35:46,799 Speaker 2: it's just wherever you go, there you are. If you 797 00:35:46,880 --> 00:35:49,560 Speaker 2: have one point of view and you're homogenious about it, 798 00:35:49,640 --> 00:35:51,640 Speaker 2: you're going to have one point of view. You're not 799 00:35:51,640 --> 00:35:53,600 Speaker 2: going to reflect other people, and then you become less 800 00:35:53,640 --> 00:35:57,000 Speaker 2: and less sympathetic and you think your viewpoint is the 801 00:35:57,040 --> 00:35:59,920 Speaker 2: only viewpoint. Now we're all guilty of that, right, everyone 802 00:36:00,080 --> 00:36:02,040 Speaker 2: of us is skuilty of that, and we have to 803 00:36:02,040 --> 00:36:03,960 Speaker 2: try really hard to get out of these silos that 804 00:36:03,960 --> 00:36:06,680 Speaker 2: we have, and we don't because we're very comfortable in them. 805 00:36:07,000 --> 00:36:09,239 Speaker 2: But when you have that much power and you do it, 806 00:36:09,320 --> 00:36:12,520 Speaker 2: I think it's incumbent on you to reach across lines 807 00:36:12,520 --> 00:36:15,520 Speaker 2: and not demonize people. And you know, with all the 808 00:36:15,600 --> 00:36:18,880 Speaker 2: power and influence and money muscast, all he does is 809 00:36:18,920 --> 00:36:21,399 Speaker 2: pick fucking fights all day, and all I can think 810 00:36:21,440 --> 00:36:24,279 Speaker 2: of is, what the hell is wrong with you? Like, 811 00:36:24,440 --> 00:36:26,680 Speaker 2: how did you get this way? It's disappointing because of 812 00:36:26,920 --> 00:36:29,640 Speaker 2: the good he could do. He obviously has skills, but 813 00:36:29,719 --> 00:36:32,440 Speaker 2: instead he's decided that his lesser nature is the one 814 00:36:32,440 --> 00:36:33,360 Speaker 2: he's going to feed. 815 00:36:34,040 --> 00:36:36,920 Speaker 1: Caer I always like to ask guests what they've learned 816 00:36:36,960 --> 00:36:39,799 Speaker 1: from an event. If you think about watching the arc 817 00:36:39,920 --> 00:36:44,040 Speaker 1: of Elon and Zuck's journeys, what have you learned? What 818 00:36:44,120 --> 00:36:45,160 Speaker 1: have those things taught you? 819 00:36:45,920 --> 00:36:48,759 Speaker 2: That power corrupts? It just does. It's such a cliche. 820 00:36:48,920 --> 00:36:52,680 Speaker 2: It just does. Money and power corrupt and you have 821 00:36:52,719 --> 00:36:55,719 Speaker 2: to be a very strong personality to resist it. And 822 00:36:55,880 --> 00:36:58,040 Speaker 2: there's so many great hopes of what tech could do, 823 00:36:58,280 --> 00:37:01,120 Speaker 2: and instead of doing that, spending your time doing this 824 00:37:01,280 --> 00:37:05,120 Speaker 2: seems sad. It really does. It seems sad to me. 825 00:37:05,160 --> 00:37:07,360 Speaker 2: And there's so much potential to help people. There's so 826 00:37:07,440 --> 00:37:11,080 Speaker 2: much potential to be kind, and unfortunately where we've gotten 827 00:37:11,200 --> 00:37:13,839 Speaker 2: is these people, not all of them, I don't want 828 00:37:13,840 --> 00:37:16,200 Speaker 2: to paint a broad brush, but a lot of them 829 00:37:16,680 --> 00:37:18,920 Speaker 2: forgot why they came in the first place, which was 830 00:37:18,960 --> 00:37:21,560 Speaker 2: a great love of tech like I have, and others 831 00:37:21,600 --> 00:37:24,760 Speaker 2: having a great love of the possibilities. And my book's 832 00:37:24,800 --> 00:37:27,279 Speaker 2: coming out in March, and at the beginning of it, 833 00:37:27,320 --> 00:37:29,680 Speaker 2: I talk about a quote from Steve Jobs. I had 834 00:37:29,680 --> 00:37:31,880 Speaker 2: this idea that you are either a Star Trek or 835 00:37:31,880 --> 00:37:34,600 Speaker 2: a Star Wars person, because you know, tech people love 836 00:37:34,920 --> 00:37:37,640 Speaker 2: sci fi and you know Star Wars is a very 837 00:37:37,680 --> 00:37:40,200 Speaker 2: dark view of the universe where they evil often and 838 00:37:40,320 --> 00:37:43,920 Speaker 2: regularly triumphs. Right that everything's quite a dark vision what 839 00:37:44,080 --> 00:37:46,239 Speaker 2: Star Wars is. It's not a hopeful vision in any 840 00:37:46,280 --> 00:37:48,920 Speaker 2: way if you really take it apart, and Star Trek 841 00:37:49,000 --> 00:37:51,040 Speaker 2: is it's like a Benetton ad. We are going to 842 00:37:51,080 --> 00:37:52,680 Speaker 2: get along, We're going to beat villains, and villains are 843 00:37:52,680 --> 00:37:54,200 Speaker 2: going to come on our side in fact, you know 844 00:37:54,200 --> 00:37:56,360 Speaker 2: what I mean. And it's a sort of a hopeful 845 00:37:56,600 --> 00:37:59,640 Speaker 2: humanity gets better and better and better, and we improve ourselves. 846 00:37:59,640 --> 00:38:03,200 Speaker 2: And it's a Wars you never know the next episode 847 00:38:03,440 --> 00:38:06,480 Speaker 2: might be the last. And so there was an interview 848 00:38:06,480 --> 00:38:08,799 Speaker 2: I did with Steve Jobs where he said, I want 849 00:38:08,880 --> 00:38:11,239 Speaker 2: Star Trek. I wish we could get Star Trek, and 850 00:38:11,280 --> 00:38:14,040 Speaker 2: I feel the same way. And we live in Star Wars. 851 00:38:14,200 --> 00:38:16,800 Speaker 2: That's where we live now, and we've got Darth Vaders everywhere, 852 00:38:17,080 --> 00:38:20,359 Speaker 2: and not redeemable Darth Vaders, just Darth Vaders that stay 853 00:38:20,440 --> 00:38:22,879 Speaker 2: that way. And so that's how I think about it. 854 00:38:22,960 --> 00:38:25,520 Speaker 2: I just am really, I'm sorry. I want Star Trek too, 855 00:38:25,880 --> 00:38:27,040 Speaker 2: you know, as Steve said. 856 00:38:28,040 --> 00:38:30,960 Speaker 1: I want Star Trek too. We're out of time. Kara, 857 00:38:31,440 --> 00:38:33,640 Speaker 1: thank you so much for joining us today. 858 00:38:33,840 --> 00:38:36,440 Speaker 2: Thank you so much, Tam for a thoughtful conversation. I 859 00:38:36,480 --> 00:38:37,160 Speaker 2: appreciate it. 860 00:38:38,880 --> 00:38:40,799 Speaker 1: Kara Swisher is the host of The On with Kara 861 00:38:40,880 --> 00:38:44,040 Speaker 1: Swisher and Pivot podcasts, and she's an editor at large 862 00:38:44,040 --> 00:38:46,759 Speaker 1: at New York Magazine. Next spring, she has a new 863 00:38:46,800 --> 00:38:50,799 Speaker 1: book coming out, burn Book, a Tech Love Story. You 864 00:38:50,800 --> 00:38:55,279 Speaker 1: can find her on Twitter at Kara Swisher Here at 865 00:38:55,320 --> 00:38:59,560 Speaker 1: crash Course, we believe the collisions can be messy, impressive, challenging, surprising, 866 00:39:00,160 --> 00:39:04,080 Speaker 1: always instructive. In today's Crash Course, I learned that Silicon 867 00:39:04,160 --> 00:39:07,360 Speaker 1: Valley's tech bros. May have a hammer lock on Silicon 868 00:39:07,440 --> 00:39:12,279 Speaker 1: Valley's riches and its businesses longer than I expected. What 869 00:39:12,320 --> 00:39:14,920 Speaker 1: did you learn? We'd love to hear from you. You 870 00:39:14,920 --> 00:39:18,120 Speaker 1: can tweet at the Bloomberg Opinion handle at opinion or 871 00:39:18,200 --> 00:39:22,480 Speaker 1: me at Tim O'Brien using the hashtag Bloomberg Crash Course. 872 00:39:23,120 --> 00:39:25,960 Speaker 1: You can also subscribe to our show wherever you're listening 873 00:39:26,000 --> 00:39:28,800 Speaker 1: right now, and please leave us a review. It helps 874 00:39:28,840 --> 00:39:32,319 Speaker 1: more people find the show. This episode was produced by 875 00:39:32,320 --> 00:39:37,000 Speaker 1: the indispensable Anna Maserakas, Moses On Dam and Me. Our 876 00:39:37,040 --> 00:39:40,319 Speaker 1: supervising producer is Magnus Hendrickson, and we had editing help 877 00:39:40,320 --> 00:39:44,480 Speaker 1: from Sage Bauman, Katie Boyce, Jeff Grocott, Mike Nizza, and 878 00:39:44,560 --> 00:39:48,799 Speaker 1: Christine Vanden Bilart. Blake Maples says, our sound engineering and 879 00:39:48,880 --> 00:39:52,640 Speaker 1: our original theme song was composed by Luis Gara. I'm 880 00:39:52,640 --> 00:39:55,880 Speaker 1: Tim O'Brien. We'll be back next week with another Crash 881 00:39:55,920 --> 00:39:56,200 Speaker 1: Course