1 00:00:16,480 --> 00:00:20,160 Speaker 1: Hey, and welcome to what Future. I'm your host, Joshua Zapolski. 2 00:00:21,480 --> 00:00:25,800 Speaker 1: So for many weeks I've been talking about thinking about 3 00:00:25,880 --> 00:00:29,680 Speaker 1: skirting around and perhaps even delving into the issue of Twitter, 4 00:00:29,800 --> 00:00:31,760 Speaker 1: which is ever present in the minds of all people 5 00:00:31,760 --> 00:00:35,440 Speaker 1: who are on Twitter and it's new owner, Elon Musk, 6 00:00:35,479 --> 00:00:37,879 Speaker 1: and all of the madness that has been sort of 7 00:00:38,000 --> 00:00:42,400 Speaker 1: unleashed on the general population. I have touched on it 8 00:00:42,479 --> 00:00:46,720 Speaker 1: here and there, sometimes directly, sometimes indirectly. Sometimes I wasn't 9 00:00:46,760 --> 00:00:49,199 Speaker 1: touching on it at all, and you just thought I 10 00:00:49,280 --> 00:00:52,680 Speaker 1: was because you're a very confused person. But there's so 11 00:00:52,760 --> 00:00:56,520 Speaker 1: much that has happened with Twitter, the social network, and 12 00:00:56,600 --> 00:01:00,120 Speaker 1: its owner, Elon Musk, and the users of it that 13 00:01:00,360 --> 00:01:03,040 Speaker 1: it felt worth exploring in a more direct and sort 14 00:01:03,040 --> 00:01:05,120 Speaker 1: of plain manner. And I would say just in the 15 00:01:05,200 --> 00:01:08,280 Speaker 1: last week, just in the last few days, there have 16 00:01:08,400 --> 00:01:11,959 Speaker 1: been things that have been happening that are just seemed 17 00:01:12,000 --> 00:01:15,120 Speaker 1: totally surreal at this point. For instance, Elon Musk is 18 00:01:15,120 --> 00:01:18,440 Speaker 1: tweeting a Tim Cooke, the CEO of Apple, about how 19 00:01:18,480 --> 00:01:20,240 Speaker 1: he's going to go to war with Apple because they 20 00:01:20,240 --> 00:01:22,440 Speaker 1: don't want to advertise on Twitter, because Twitter is now 21 00:01:22,480 --> 00:01:26,200 Speaker 1: full of Nazis and racists again. They're no longer going 22 00:01:26,240 --> 00:01:29,760 Speaker 1: to flag COVID misinformation or even attempt to stop the 23 00:01:29,760 --> 00:01:33,200 Speaker 1: spread of misinformation on the service as it relates to COVID. 24 00:01:33,280 --> 00:01:35,560 Speaker 1: No other social network in the world is doing that. 25 00:01:35,640 --> 00:01:39,360 Speaker 1: Everybody's trying to stop the flow of and stem the 26 00:01:39,440 --> 00:01:42,720 Speaker 1: tide of miss info. They're like, no, we're not doing 27 00:01:42,720 --> 00:01:46,000 Speaker 1: that anymore. They fired all of the team that was 28 00:01:46,040 --> 00:01:49,680 Speaker 1: tracking child sex abuse on the platform, or most of 29 00:01:49,720 --> 00:01:53,720 Speaker 1: the team. Bloomberg's headline was they decimated the team tackling 30 00:01:53,800 --> 00:01:58,080 Speaker 1: child sexual abuse. So just really normal stuff for a 31 00:01:58,160 --> 00:02:01,640 Speaker 1: social network with two million users, it just becomes such 32 00:02:01,640 --> 00:02:05,080 Speaker 1: an ongoing, rolling story. I thought, you know who, who 33 00:02:05,120 --> 00:02:06,960 Speaker 1: can you talk to you about this? Who really understands 34 00:02:07,000 --> 00:02:09,919 Speaker 1: the inner workings of it, And immediately I thought of 35 00:02:10,120 --> 00:02:14,680 Speaker 1: Casey Newton, who is an amazing journalist and writer and 36 00:02:14,800 --> 00:02:18,320 Speaker 1: has been, along with his partners Zoe Schiffer, has been 37 00:02:18,320 --> 00:02:20,600 Speaker 1: writing to Scoop after Scoop in the last few weeks 38 00:02:20,639 --> 00:02:22,440 Speaker 1: about what's going on inside of Twitter, and they broke 39 00:02:22,480 --> 00:02:24,640 Speaker 1: a ton of stories. I think they broke the story 40 00:02:24,639 --> 00:02:26,760 Speaker 1: about all these people quitting Twitter. They've broken all of 41 00:02:26,800 --> 00:02:30,280 Speaker 1: these stories about these panicked emails that Elon Muskus send 42 00:02:30,360 --> 00:02:33,600 Speaker 1: him because nobody can write code there anymore. And just 43 00:02:33,720 --> 00:02:36,760 Speaker 1: it's been an amazing kind of example of what I 44 00:02:36,800 --> 00:02:40,040 Speaker 1: would say is the finest journalism around this topic and 45 00:02:40,120 --> 00:02:45,400 Speaker 1: kind of exposes the the chaos and the insanity of 46 00:02:45,440 --> 00:02:47,639 Speaker 1: this moment inside of Twitter. And so I thought, let's 47 00:02:47,639 --> 00:02:50,040 Speaker 1: get Casey on the show. Let's talk to him about 48 00:02:50,120 --> 00:02:53,400 Speaker 1: what the state of play is at Twitter. And so 49 00:02:53,440 --> 00:03:12,480 Speaker 1: that's what we did. Okay, let's get after it. As 50 00:03:12,760 --> 00:03:14,720 Speaker 1: Chris Cuomo used to say before he was canceled and 51 00:03:14,720 --> 00:03:19,200 Speaker 1: fired from CNN. Sorry, it's a dark memory from just 52 00:03:19,240 --> 00:03:24,360 Speaker 1: the recent past. The Cuomos, they didn't fare too well 53 00:03:24,480 --> 00:03:27,840 Speaker 1: as the pandemic was closing up. They really didn't knock 54 00:03:27,880 --> 00:03:29,080 Speaker 1: it out of the park. Okay, but we're not here 55 00:03:29,120 --> 00:03:31,800 Speaker 1: to talk about their weird bad behavior. We're here to 56 00:03:31,800 --> 00:03:37,480 Speaker 1: talk about the weird bad behavior of another guy. Yeah, uh, 57 00:03:37,800 --> 00:03:41,240 Speaker 1: who's not a Cuomo Elon Musk So okay, So first off, 58 00:03:41,240 --> 00:03:44,480 Speaker 1: you cover this, you are a top of the class, 59 00:03:45,320 --> 00:03:47,320 Speaker 1: top shelf. I can't think of anything but a top 60 00:03:47,400 --> 00:03:50,880 Speaker 1: sort of you know, you're a top when it comes 61 00:03:50,920 --> 00:03:53,600 Speaker 1: to coverage. I can't speak on to every subject for you, 62 00:03:53,680 --> 00:03:56,200 Speaker 1: But when it comes to coverage of the Internet and 63 00:03:56,240 --> 00:03:59,480 Speaker 1: internet companies, in particularly Twitter, you're the best. You're You're 64 00:03:59,480 --> 00:04:03,120 Speaker 1: on top. What thanks man? Thanks? You have many many, many, 65 00:04:03,120 --> 00:04:07,760 Speaker 1: many sneaky ass sources screring around whatever remains of Twitter 66 00:04:07,920 --> 00:04:11,880 Speaker 1: h Q delivering truth bombs to you on a regular basis. 67 00:04:11,920 --> 00:04:14,360 Speaker 1: Would you say this is all accurate? The thing is, 68 00:04:14,440 --> 00:04:16,520 Speaker 1: I have never really thought of myself as as a 69 00:04:16,560 --> 00:04:20,840 Speaker 1: great reporter, But in that case, I don't believe that. Well, look, 70 00:04:20,880 --> 00:04:22,360 Speaker 1: I think I'm a good writer. I think it was 71 00:04:22,360 --> 00:04:23,800 Speaker 1: a pretty good thinker, But like, I've never been the 72 00:04:23,800 --> 00:04:26,760 Speaker 1: scoopiest guy. But with this particular story, Josh, I'm not 73 00:04:26,839 --> 00:04:28,560 Speaker 1: kidding when I tell you, like, for two or three weeks, 74 00:04:28,600 --> 00:04:30,160 Speaker 1: I would wake up and every single day I would 75 00:04:30,160 --> 00:04:32,240 Speaker 1: just open up Signal and people were like, here are 76 00:04:32,279 --> 00:04:35,160 Speaker 1: like four more things that no one has reported yet. 77 00:04:35,200 --> 00:04:37,080 Speaker 1: There's just so much going on at that company and 78 00:04:37,120 --> 00:04:39,200 Speaker 1: it just kind of needed to go somewhere. So it's 79 00:04:39,200 --> 00:04:41,520 Speaker 1: been an amazing month, the reporting that you've been doing. 80 00:04:41,640 --> 00:04:43,599 Speaker 1: And you and Joe Schiffer. Am I saying that right? 81 00:04:43,680 --> 00:04:46,640 Speaker 1: Is that the correct pronunciation? Yeah, my colleagues, She's wonderfully. 82 00:04:47,000 --> 00:04:48,880 Speaker 1: You all have been doing some great, great reporting. It's 83 00:04:48,920 --> 00:04:52,800 Speaker 1: made me. I've been glued to Twitter kind of yeah, 84 00:04:52,960 --> 00:04:55,400 Speaker 1: I don't think do you have a Master Dawn account yet? 85 00:04:55,440 --> 00:04:57,520 Speaker 1: Are you on that? Dude? I'm in it, but I 86 00:04:57,560 --> 00:04:58,960 Speaker 1: just look at that thing and I just feel like 87 00:04:59,000 --> 00:05:01,400 Speaker 1: it's dead on arrival. No, dude, Taylor Lareen's already has 88 00:05:01,400 --> 00:05:04,080 Speaker 1: sixty thou followers on Massadotic. You need to catch the 89 00:05:04,120 --> 00:05:06,200 Speaker 1: funk up by day. Okay, I'll see what I can do. 90 00:05:06,560 --> 00:05:08,800 Speaker 1: She's like, actually, I don't even know, like maybe she 91 00:05:08,920 --> 00:05:11,359 Speaker 1: has box. I'm not really sure. Are there sixty people 92 00:05:11,360 --> 00:05:14,080 Speaker 1: on masted on. I'm not entirely sure. I've heard they 93 00:05:14,080 --> 00:05:16,359 Speaker 1: have like eight million almost. No, it's kicking as I 94 00:05:16,360 --> 00:05:18,200 Speaker 1: love it. I think it's terrific. But anyhow, it's that's 95 00:05:18,279 --> 00:05:21,360 Speaker 1: We'll talk about that at another point in time. So 96 00:05:21,360 --> 00:05:23,400 Speaker 1: so let's talk about Twitter for a second, okay, And 97 00:05:23,480 --> 00:05:25,560 Speaker 1: we don't have to recap all of the Twitter news 98 00:05:25,600 --> 00:05:28,480 Speaker 1: because obviously I've been talking about it here and there 99 00:05:28,480 --> 00:05:30,800 Speaker 1: on the podcast, and and I think the people who 100 00:05:30,839 --> 00:05:33,039 Speaker 1: are listening to this, the sick, sick people who listen 101 00:05:33,080 --> 00:05:36,440 Speaker 1: to this podcast have heard, you know, some something about 102 00:05:36,480 --> 00:05:39,840 Speaker 1: what's happening on Twitter, but you know you're hearing from 103 00:05:39,880 --> 00:05:42,080 Speaker 1: people who are currently working there, correct, Like, I don't 104 00:05:42,080 --> 00:05:43,200 Speaker 1: want you to I don't want you to to give away 105 00:05:43,200 --> 00:05:45,240 Speaker 1: any sources, but let's just say people who are very 106 00:05:45,320 --> 00:05:49,840 Speaker 1: very close to the inside mechanations of Twitter. Is it 107 00:05:49,960 --> 00:05:52,400 Speaker 1: as crazy to them or does it feel as off 108 00:05:52,440 --> 00:05:55,200 Speaker 1: the rails to people who are actually working there as 109 00:05:55,200 --> 00:05:57,280 Speaker 1: it does to human beings like us that are on 110 00:05:57,320 --> 00:06:00,400 Speaker 1: the outside. It absolutely feels off the real You know, 111 00:06:00,440 --> 00:06:02,400 Speaker 1: people will tell me some things, but there's a lot 112 00:06:02,400 --> 00:06:04,560 Speaker 1: that they won't tell me, and instead they'll say, like, 113 00:06:04,880 --> 00:06:07,440 Speaker 1: I will tell you the real story in like three years. 114 00:06:07,520 --> 00:06:10,160 Speaker 1: You know, it's like once enough time has passed that 115 00:06:10,880 --> 00:06:12,640 Speaker 1: you know what I feel like. But they're like, it's 116 00:06:12,720 --> 00:06:16,159 Speaker 1: crazier than you can even imagine. Yeah, So there's obviously 117 00:06:16,200 --> 00:06:17,680 Speaker 1: the people on the ground. There's Twitter, there's people, a 118 00:06:17,680 --> 00:06:19,080 Speaker 1: lot of people have been laid off, there's people who 119 00:06:19,080 --> 00:06:21,800 Speaker 1: have quit. There's like four people who currently work at 120 00:06:21,800 --> 00:06:24,400 Speaker 1: Twitter now and one of them Ze lot Mosque. But 121 00:06:24,480 --> 00:06:26,599 Speaker 1: I assume you're also talking to your have you spoken 122 00:06:26,600 --> 00:06:30,480 Speaker 1: to like vcs and investors and people who are outside 123 00:06:30,480 --> 00:06:32,839 Speaker 1: of this. Yeah, I get this weird impressure. Then maybe 124 00:06:32,839 --> 00:06:35,039 Speaker 1: a lot of them are like, Ellen is showing everyone 125 00:06:35,080 --> 00:06:37,600 Speaker 1: how it's done. Do you is that what's going on 126 00:06:37,800 --> 00:06:41,719 Speaker 1: out there? Yes? Yeah, some people are so excited about 127 00:06:41,760 --> 00:06:44,559 Speaker 1: what Ellen is doing because over the last ten years, 128 00:06:44,640 --> 00:06:47,560 Speaker 1: tech workers gained so much power, right, there was a 129 00:06:47,600 --> 00:06:50,960 Speaker 1: lot of competition for the best engineers. The companies were 130 00:06:50,960 --> 00:06:52,960 Speaker 1: printing money, they were making you know, like a million 131 00:06:52,960 --> 00:06:55,360 Speaker 1: dollars plus off of every single employee that they had, 132 00:06:55,480 --> 00:06:57,640 Speaker 1: and so workers just had all this freedom and they 133 00:06:57,800 --> 00:06:59,480 Speaker 1: you know, they had to serve them lunch, and they 134 00:06:59,480 --> 00:07:02,599 Speaker 1: had to give him great perks, you know, backrubs, laundry. 135 00:07:02,440 --> 00:07:05,159 Speaker 1: Then it actually give them backrubs. That's actually illegal. I 136 00:07:05,200 --> 00:07:07,480 Speaker 1: think that that it would have been happened not the manager. 137 00:07:07,920 --> 00:07:10,160 Speaker 1: They would bring people into get back. They would bring people, 138 00:07:10,400 --> 00:07:14,640 Speaker 1: they would bring in professional Okay, they're getting them backrubs 139 00:07:14,640 --> 00:07:18,280 Speaker 1: and lunch in the backrubs. That's a date. A BackRub 140 00:07:18,360 --> 00:07:21,200 Speaker 1: and lunch is like, that's a thousand dollar date. And 141 00:07:21,680 --> 00:07:23,680 Speaker 1: that's what it was like to work in Airbnb. So 142 00:07:24,040 --> 00:07:27,000 Speaker 1: you know, this all is going on. But instead of 143 00:07:27,040 --> 00:07:30,080 Speaker 1: saying thank you, my capitalist master, what do people do? 144 00:07:30,280 --> 00:07:32,120 Speaker 1: They say, like, well, we should also make this place 145 00:07:32,160 --> 00:07:34,920 Speaker 1: more diverse, right, Like we should improve the working condition. 146 00:07:34,960 --> 00:07:37,040 Speaker 1: We should actually treat our contractors as well as we 147 00:07:37,080 --> 00:07:39,320 Speaker 1: treat the full time employees. And this drives the CEO 148 00:07:39,440 --> 00:07:41,640 Speaker 1: is crazy. And so the moment that the economy starts 149 00:07:41,680 --> 00:07:44,240 Speaker 1: to turn and Elon takes over Twitter and just starts 150 00:07:44,240 --> 00:07:46,280 Speaker 1: slashing and burning, there are a lot of CEOs and 151 00:07:46,320 --> 00:07:48,680 Speaker 1: b c saying this is the way we need to 152 00:07:48,680 --> 00:07:51,360 Speaker 1: remind these workers what their true places. And that's licking 153 00:07:51,400 --> 00:07:53,800 Speaker 1: our boots. Wow. I mean to me, there's sort of 154 00:07:53,840 --> 00:07:57,280 Speaker 1: something about the Twitter stuff that is obviously it's Trumpian 155 00:07:57,320 --> 00:08:00,760 Speaker 1: in many ways because of Elon's I think Lawn's personality 156 00:08:00,760 --> 00:08:04,080 Speaker 1: on Twitter has become increasingly more trump like. Like I mean, 157 00:08:04,120 --> 00:08:05,920 Speaker 1: actually a lot of people have said to me recently, 158 00:08:05,920 --> 00:08:07,960 Speaker 1: they're like, can you believe this is the guy you're 159 00:08:07,960 --> 00:08:09,520 Speaker 1: asking about? Like, you know, are we living in a 160 00:08:09,560 --> 00:08:12,000 Speaker 1: simulation like not that long ago? And it is funny 161 00:08:12,000 --> 00:08:14,000 Speaker 1: because I used to think about Ellen and like, I'm like, 162 00:08:14,000 --> 00:08:15,800 Speaker 1: he's a little weird. He's kind of got some like 163 00:08:15,920 --> 00:08:18,920 Speaker 1: edge lord equalities, but not really. He's more just like 164 00:08:18,960 --> 00:08:21,440 Speaker 1: a super interesting guy and he's doing really interesting stuff. 165 00:08:21,760 --> 00:08:24,680 Speaker 1: And it's like so we're now so far afield from 166 00:08:24,720 --> 00:08:26,760 Speaker 1: this other version of Elon Musk that I used to 167 00:08:26,800 --> 00:08:29,800 Speaker 1: think of him as, and it he does increasingly have 168 00:08:29,840 --> 00:08:33,439 Speaker 1: more in common with like a Trump character. Like Trump. 169 00:08:34,000 --> 00:08:36,199 Speaker 1: It feels like this is one of those situations where 170 00:08:37,120 --> 00:08:39,240 Speaker 1: is he just gonna do all of the things that 171 00:08:39,280 --> 00:08:41,600 Speaker 1: are terrible and bad and everybody's like, that's the worst. 172 00:08:41,600 --> 00:08:44,000 Speaker 1: This is terrible and just nothing is going to stop. 173 00:08:44,040 --> 00:08:47,880 Speaker 1: But no reality can intersect with his like master plan. 174 00:08:48,840 --> 00:08:52,160 Speaker 1: So reality has already intersected with him in the form 175 00:08:52,400 --> 00:08:55,720 Speaker 1: of many of his advertisers pulling up and running out 176 00:08:55,760 --> 00:08:57,679 Speaker 1: the door, right is you know, Apple was his biggest 177 00:08:57,760 --> 00:09:00,040 Speaker 1: brand advertiser. They're spending like forty eight million doll it 178 00:09:00,120 --> 00:09:03,280 Speaker 1: was a quarter. They're just gone now, and he needs 179 00:09:03,360 --> 00:09:05,679 Speaker 1: that money, like you know, they saddled this company up 180 00:09:05,679 --> 00:09:07,440 Speaker 1: with something like thirteen billion dollars in debt. They have 181 00:09:07,480 --> 00:09:09,679 Speaker 1: to pay a billion dollars a year just an interest 182 00:09:09,720 --> 00:09:11,959 Speaker 1: on the debt. Twitter is making about five billion a 183 00:09:12,040 --> 00:09:14,720 Speaker 1: year before all of this happened, and now they've lost 184 00:09:14,760 --> 00:09:17,520 Speaker 1: a significant amount of their advertising. We reported this week 185 00:09:17,520 --> 00:09:19,559 Speaker 1: that in Europe their ads are down like forty nine 186 00:09:19,600 --> 00:09:23,280 Speaker 1: percent week over week, So that's reality for him. I mean, 187 00:09:23,280 --> 00:09:25,320 Speaker 1: how many advertisers have actually pulled out do you know 188 00:09:25,400 --> 00:09:28,720 Speaker 1: the dollar amount? Well? Sadly they don't text me when 189 00:09:28,760 --> 00:09:30,800 Speaker 1: they do it. You know, what we've what we've heard 190 00:09:31,120 --> 00:09:35,800 Speaker 1: is that it is just many, many, many millions. You 191 00:09:35,800 --> 00:09:38,760 Speaker 1: said Apple was their biggest advertiser. Is that? Yeah, their 192 00:09:38,800 --> 00:09:42,280 Speaker 1: single biggest brand advertiser, because apparently Apple doesn't advertise on Facebook. Yeah. 193 00:09:42,360 --> 00:09:46,480 Speaker 1: Interesting apples like increasingly finding no friends in the social 194 00:09:46,480 --> 00:09:49,280 Speaker 1: media landscape, which is like kind of makes sense. I mean, 195 00:09:49,320 --> 00:09:51,440 Speaker 1: given their business model and what they're trying to do. 196 00:09:51,960 --> 00:09:54,400 Speaker 1: But if Apple was their largest and they're doing you 197 00:09:54,440 --> 00:09:56,559 Speaker 1: said forty eight million a quarter, yeah, I mean, sure 198 00:09:56,559 --> 00:09:58,640 Speaker 1: there's somebody who's working on the back of the envelope 199 00:09:58,679 --> 00:10:00,679 Speaker 1: math on this. But I the thing that I always 200 00:10:00,679 --> 00:10:02,560 Speaker 1: thought was most striking in the early days of the 201 00:10:02,559 --> 00:10:05,280 Speaker 1: Elon Musk is gonna buy Twitter conversation? I think I 202 00:10:05,320 --> 00:10:06,920 Speaker 1: want to say, maybe Mike Isaac, maybe it was a 203 00:10:06,920 --> 00:10:09,120 Speaker 1: group of people did a story at the Times that 204 00:10:09,240 --> 00:10:11,880 Speaker 1: was like, here's what musques like plans are, or maybe 205 00:10:11,880 --> 00:10:13,480 Speaker 1: it's just a reblog of your story. I don't I 206 00:10:13,520 --> 00:10:15,560 Speaker 1: never never know these days, But did you get those 207 00:10:15,600 --> 00:10:16,920 Speaker 1: I think I think they broke up. They broke some 208 00:10:17,360 --> 00:10:20,040 Speaker 1: You're like, I'm willing to admit that maybe someone else 209 00:10:20,200 --> 00:10:22,240 Speaker 1: is broken news, but they were like one of the 210 00:10:22,280 --> 00:10:24,200 Speaker 1: parts of the plan was like he's going to eliminate 211 00:10:24,640 --> 00:10:30,000 Speaker 1: the reliance on advertiser revenue. He's gonna have it by 212 00:10:30,000 --> 00:10:32,439 Speaker 1: five or something, and the other you know, revenue is 213 00:10:32,440 --> 00:10:34,719 Speaker 1: gonna be derived from like subscription and payments and all 214 00:10:34,720 --> 00:10:38,800 Speaker 1: this other stuff. But the company's revenue, right I believe 215 00:10:38,880 --> 00:10:42,480 Speaker 1: is the number is derived from advertising in two, like 216 00:10:42,559 --> 00:10:46,000 Speaker 1: in the Year of Our Lord two. So if that 217 00:10:46,040 --> 00:10:48,000 Speaker 1: goes away, do you know what happens? Do you have 218 00:10:48,000 --> 00:10:50,199 Speaker 1: any ideas anybody spoken to you on like what that 219 00:10:50,240 --> 00:10:53,200 Speaker 1: looks like if suddenly he can't afford to pay people 220 00:10:53,240 --> 00:10:55,480 Speaker 1: and can't keep the lights on. Yeah, I mean, it 221 00:10:55,920 --> 00:10:57,920 Speaker 1: just looks like a company going out of business, right, 222 00:10:57,960 --> 00:11:01,960 Speaker 1: you know, one must but more sifically, what must took over? 223 00:11:02,200 --> 00:11:04,280 Speaker 1: He was like, we we can't rule out that this 224 00:11:04,320 --> 00:11:06,000 Speaker 1: company is going to go bankrupt. You know. That was 225 00:11:06,040 --> 00:11:08,120 Speaker 1: sort of his opening pep rally to the troop was 226 00:11:08,200 --> 00:11:14,439 Speaker 1: like we're fun. He's like, I'm glad, yeah, But but 227 00:11:14,559 --> 00:11:17,400 Speaker 1: what's amazing is that after telling everyone that instead of 228 00:11:17,440 --> 00:11:19,840 Speaker 1: being like, you know, here's my my five point plan 229 00:11:20,000 --> 00:11:22,960 Speaker 1: to return as to profitability, he was like, We're going 230 00:11:23,000 --> 00:11:25,480 Speaker 1: to piss off all the advertisers, We're going to restore 231 00:11:25,600 --> 00:11:28,120 Speaker 1: sixty accounts from the worst Twitter users of all time, 232 00:11:28,400 --> 00:11:30,360 Speaker 1: and we're gonna start a fight with Apple, which we 233 00:11:30,400 --> 00:11:32,680 Speaker 1: literally call it a war. Right, So, I mean, the 234 00:11:32,679 --> 00:11:35,920 Speaker 1: man is not making rational decisions. See, that's what I believe. 235 00:11:35,960 --> 00:11:38,880 Speaker 1: But then you've got these like weird Mr Mosque people 236 00:11:39,000 --> 00:11:41,920 Speaker 1: who are like, who are like that is truly what 237 00:11:41,960 --> 00:11:44,640 Speaker 1: they are is the Mr must people. They're like, either 238 00:11:44,679 --> 00:11:47,120 Speaker 1: don't understand the long game he's playing, and I'm like, 239 00:11:47,400 --> 00:11:49,000 Speaker 1: I don't know, my dude, I feel like there's a 240 00:11:49,040 --> 00:11:50,800 Speaker 1: lot of ways to play a long game that doesn't 241 00:11:50,800 --> 00:11:54,000 Speaker 1: look this stupid. Like isn't it so amazing too that 242 00:11:54,000 --> 00:11:56,440 Speaker 1: that is an exact replica of how people treated Trump, right, 243 00:11:56,440 --> 00:11:58,120 Speaker 1: because it was always you know, Mr Trump, you know 244 00:11:58,120 --> 00:11:59,960 Speaker 1: you're here to say no matter what, like the cree 245 00:12:00,000 --> 00:12:02,040 Speaker 1: easiest ship that Trump ever did, there were always people 246 00:12:02,280 --> 00:12:04,800 Speaker 1: there to tell you that it was nine dimensional chess. Listen. 247 00:12:04,840 --> 00:12:06,719 Speaker 1: I hate to say this, but I think people need 248 00:12:06,800 --> 00:12:10,559 Speaker 1: Christ back in their lives. That's what this podcast is about, right, 249 00:12:10,679 --> 00:12:15,280 Speaker 1: this is actually a pro evangelical Christian podcast to Jesus people. 250 00:12:15,360 --> 00:12:17,400 Speaker 1: But there is an argument. I think, doesn't it feel 251 00:12:17,440 --> 00:12:19,680 Speaker 1: like the climate out here is you've got these people 252 00:12:19,679 --> 00:12:24,600 Speaker 1: who are so like devoted. I mean, Elon Musk Today's 253 00:12:24,600 --> 00:12:28,600 Speaker 1: abstractions on the devotion to this guy is crazy. Like 254 00:12:28,679 --> 00:12:30,240 Speaker 1: I mean, it's is sort of like the Trump thing 255 00:12:30,240 --> 00:12:31,920 Speaker 1: where Trump, you know, early in his campaign, was like 256 00:12:31,960 --> 00:12:33,960 Speaker 1: I could shoot somebody on Fifth Avenue and they'd love 257 00:12:34,000 --> 00:12:36,080 Speaker 1: me for whatever. It's like, yeah, you were right, Like 258 00:12:36,160 --> 00:12:38,520 Speaker 1: I hate to admit it, but I don't understand it. 259 00:12:38,520 --> 00:12:41,280 Speaker 1: It's like, you know, you like his car, maybe you 260 00:12:41,360 --> 00:12:44,120 Speaker 1: bought some stock, you know, you want to go to Mars. 261 00:12:44,160 --> 00:12:46,480 Speaker 1: Like that's all fine, those all our normal things that 262 00:12:46,520 --> 00:12:50,480 Speaker 1: people may engage in. But like when it's so clearly 263 00:12:50,920 --> 00:12:53,640 Speaker 1: the guy's blowing it, it's like Kanye, Like he reminds 264 00:12:53,640 --> 00:12:55,320 Speaker 1: me a lot of Kanye right now. And in fact, 265 00:12:55,920 --> 00:12:58,440 Speaker 1: I ironically d m you on Twitter about this, but 266 00:12:58,480 --> 00:13:00,520 Speaker 1: I was like, haf has met. It's like it kind 267 00:13:00,520 --> 00:13:02,320 Speaker 1: of one of those situations where it does seem like 268 00:13:02,600 --> 00:13:06,360 Speaker 1: it's so far afield from like the Elon Musk character 269 00:13:06,559 --> 00:13:09,400 Speaker 1: that proceeds this, even for the other stuff that he's done, 270 00:13:09,440 --> 00:13:12,240 Speaker 1: even for the Peto the Peto guy comments or whatever. 271 00:13:12,760 --> 00:13:15,199 Speaker 1: It was like a sporadic sort of flare up. Now 272 00:13:15,280 --> 00:13:19,000 Speaker 1: he's like, here's my weird nightstand with diet cokes on it, caffeine. 273 00:13:19,920 --> 00:13:21,880 Speaker 1: You know who I know who drinks caffe free diet coke. 274 00:13:22,200 --> 00:13:25,000 Speaker 1: My parents drinks caffee free dico. They're like, we love 275 00:13:25,040 --> 00:13:26,880 Speaker 1: to taste of diet coke, but we hate the energy 276 00:13:26,920 --> 00:13:28,959 Speaker 1: it gives us. So yeah, we we don't want to 277 00:13:28,960 --> 00:13:31,520 Speaker 1: be all hopped up after three pm. What's he afraid of? 278 00:13:31,720 --> 00:13:33,520 Speaker 1: Like I thought, he's the guy who like sleeps on 279 00:13:33,559 --> 00:13:35,920 Speaker 1: the floor at the office, and he like sleeps one 280 00:13:35,920 --> 00:13:37,640 Speaker 1: hour a night, and like you would think he'd want 281 00:13:37,679 --> 00:13:40,439 Speaker 1: the regular diet coke. He's like, I need every chemical, 282 00:13:40,520 --> 00:13:42,440 Speaker 1: but the one that actually will help me stay awake, 283 00:13:42,559 --> 00:13:44,440 Speaker 1: Like that's just how happen. So that's how I've got 284 00:13:44,480 --> 00:13:47,280 Speaker 1: to roll. Also, the one that's actually natural. I don't 285 00:13:47,280 --> 00:13:49,959 Speaker 1: want that. We're all watching the car crash, right, we're 286 00:13:50,000 --> 00:13:51,640 Speaker 1: like kind of rubber neck and like I just looked 287 00:13:51,640 --> 00:13:53,640 Speaker 1: at my feed and I can't even think of anything 288 00:13:53,640 --> 00:13:56,280 Speaker 1: to talk about on Twitter anymore except Elon Musk being dumb, 289 00:13:56,640 --> 00:13:58,840 Speaker 1: Like you know, it's like I don't there's no other 290 00:13:58,880 --> 00:14:01,400 Speaker 1: topic that seems interesting, and like people like little world Cup. 291 00:14:01,480 --> 00:14:04,000 Speaker 1: I'm like, who cares. We're watching the World Cup of 292 00:14:04,160 --> 00:14:07,600 Speaker 1: Guys flaming out right now? You know? Yeah, he really 293 00:14:07,600 --> 00:14:10,000 Speaker 1: does feel like not just the main subject but sort 294 00:14:10,040 --> 00:14:13,760 Speaker 1: of the only subject sometimes, and he'll tweet literally anything. 295 00:14:13,800 --> 00:14:15,720 Speaker 1: You know, He'll just be like I put tooth raised 296 00:14:15,760 --> 00:14:18,120 Speaker 1: on my toothbrush and people will be like, uh, oh well, 297 00:14:18,240 --> 00:14:20,640 Speaker 1: I hate to tell Elon Musk, but and then you know, 298 00:14:20,680 --> 00:14:22,760 Speaker 1: go on with a ninety part thread or they're like 299 00:14:22,840 --> 00:14:27,600 Speaker 1: by by cryptos get yes exactly, here's an of the 300 00:14:27,600 --> 00:14:30,640 Speaker 1: tooth brush, but this idea that it's like, oh well, 301 00:14:30,680 --> 00:14:33,040 Speaker 1: it turns out I'm a little bit smarter than Elon Musk. 302 00:14:33,120 --> 00:14:34,800 Speaker 1: So I think I'm gonna quote tweet him and just 303 00:14:34,880 --> 00:14:37,480 Speaker 1: let my followers know that I've got him clocked, buddy, 304 00:14:37,640 --> 00:14:40,560 Speaker 1: Like low does yourself steam have to be for you 305 00:14:40,600 --> 00:14:42,960 Speaker 1: to want to stunt on Elon Musk? On the timeline? 306 00:14:43,200 --> 00:14:46,040 Speaker 1: Have I done this? Everyone has? I feel like I'm 307 00:14:46,040 --> 00:14:47,960 Speaker 1: the only person who hasn't. At this point, you have 308 00:14:48,000 --> 00:14:51,560 Speaker 1: to maintain the credibility of a neutral reporter. You need 309 00:14:51,600 --> 00:14:53,400 Speaker 1: to be able because if he decides to grant an 310 00:14:53,400 --> 00:14:56,200 Speaker 1: interview with somebody, Casey, don't tell me you haven't been 311 00:14:56,200 --> 00:14:58,720 Speaker 1: thinking about it. If you decided to grant an interview, 312 00:14:58,960 --> 00:15:00,960 Speaker 1: it'd be such a nightmare. The John he's gonna grant, 313 00:15:01,000 --> 00:15:02,680 Speaker 1: He'll grant an interview with the Daily Wire. That's who 314 00:15:02,720 --> 00:15:07,320 Speaker 1: he's going to grant an interview that is going to happen. Ye. Yes, 315 00:15:07,400 --> 00:15:09,840 Speaker 1: he's not gonna be talking to me anytime soon, I imagine, 316 00:15:09,880 --> 00:15:11,640 Speaker 1: although you know, Elon, if you're listening, call me. But 317 00:15:11,720 --> 00:15:14,520 Speaker 1: the thing is, like those interviews suck. If every single 318 00:15:14,600 --> 00:15:16,720 Speaker 1: question is it like, tell me about like this genocide 319 00:15:16,760 --> 00:15:18,720 Speaker 1: that you directly cause people are like you are a 320 00:15:18,800 --> 00:15:21,680 Speaker 1: simple you know you're you're keeping from this guy, and 321 00:15:21,720 --> 00:15:24,360 Speaker 1: it's like, you know, like I just hate being in 322 00:15:24,400 --> 00:15:26,560 Speaker 1: that position, So I'm fine to not be doing that 323 00:15:26,600 --> 00:15:30,280 Speaker 1: sort of thing. My opinion is like I am stunned 324 00:15:30,320 --> 00:15:33,720 Speaker 1: at how insanely bad this looks like. I'm not like 325 00:15:33,760 --> 00:15:37,080 Speaker 1: Elon Musk is a total idiot. I think he's smart 326 00:15:37,120 --> 00:15:40,600 Speaker 1: in some ways, sure, but there are so many ways 327 00:15:40,720 --> 00:15:44,560 Speaker 1: this could have gone better. I believe in every intersector, 328 00:15:44,600 --> 00:15:48,080 Speaker 1: every you know, crossroads he got to it was like, well, 329 00:15:48,120 --> 00:15:50,720 Speaker 1: you could have driven down the road and made it 330 00:15:50,800 --> 00:15:53,840 Speaker 1: not so horrible, but you decided to hit this off 331 00:15:53,960 --> 00:15:57,400 Speaker 1: ramp for reasons that honestly, only edge lords can explain. 332 00:15:57,400 --> 00:15:59,480 Speaker 1: And the only way they can explain is like, you 333 00:15:59,520 --> 00:16:03,000 Speaker 1: don't get he's playing chess in nine D chess or 334 00:16:03,040 --> 00:16:06,680 Speaker 1: whatever it is. It's like it's fucking bizarre. So okay, 335 00:16:07,000 --> 00:16:09,120 Speaker 1: what happens. You're an expert in this field, you have 336 00:16:09,120 --> 00:16:13,720 Speaker 1: a doctorate in Internet studies, ellen ology one oh one 337 00:16:13,720 --> 00:16:15,680 Speaker 1: and one oh two. How does this play out? Give 338 00:16:15,680 --> 00:16:17,840 Speaker 1: me your like, you know, well, look, I don't think 339 00:16:17,880 --> 00:16:20,600 Speaker 1: Twitter is gonna get banned by Apple anytime soon. Be 340 00:16:20,680 --> 00:16:22,600 Speaker 1: pretty cool if they did that, right, I mean, that 341 00:16:22,680 --> 00:16:25,200 Speaker 1: could happen maybe like a sick if Tim Cook was 342 00:16:25,240 --> 00:16:27,000 Speaker 1: just like you know what, I'm Tim Cook, like, I 343 00:16:27,000 --> 00:16:30,120 Speaker 1: could buy your company twenty five times over. It's not 344 00:16:30,240 --> 00:16:32,600 Speaker 1: unimaginable to me. But I think you know, it would 345 00:16:32,800 --> 00:16:35,000 Speaker 1: create political and pr problems for Apple then it would 346 00:16:35,040 --> 00:16:37,080 Speaker 1: rather not have. Like Twitter is going to continue to 347 00:16:37,120 --> 00:16:39,400 Speaker 1: be on the App Store, but if they keep going 348 00:16:39,400 --> 00:16:41,840 Speaker 1: down this road, they're gonna lose way more of their advertisers, 349 00:16:41,840 --> 00:16:43,680 Speaker 1: which means that Twitter is just gonna keep losing money. 350 00:16:43,720 --> 00:16:45,320 Speaker 1: And then Ellen is going to have to decide do 351 00:16:45,400 --> 00:16:48,440 Speaker 1: I want to make a bunch of really obvious decisions 352 00:16:48,480 --> 00:16:50,520 Speaker 1: that would bring advertisers back, or do I want to 353 00:16:50,520 --> 00:16:53,400 Speaker 1: be a free speech crusader who just sort of you know, 354 00:16:53,560 --> 00:16:56,080 Speaker 1: captains the ship as it sinks into the ocean. And 355 00:16:56,320 --> 00:16:58,640 Speaker 1: at this point it seems like he's much more in 356 00:16:58,680 --> 00:17:01,120 Speaker 1: the latter camp. We'll see if you know, losing yet 357 00:17:01,120 --> 00:17:03,320 Speaker 1: more billions of dollars changes his mind. But there's a 358 00:17:03,440 --> 00:17:07,399 Speaker 1: potential like right off for right down situation here, right like, yeah, 359 00:17:07,560 --> 00:17:10,399 Speaker 1: if he really tanks it. Some people have suggested to 360 00:17:10,440 --> 00:17:12,000 Speaker 1: me that, you know, maybe this whole thing is a 361 00:17:12,040 --> 00:17:15,080 Speaker 1: bit of a ploy to put the thing into bankruptcy 362 00:17:15,080 --> 00:17:17,240 Speaker 1: and then restructure the debt and you know that sort 363 00:17:17,240 --> 00:17:19,240 Speaker 1: of thing, um and which I guess as possible and 364 00:17:19,280 --> 00:17:23,080 Speaker 1: then what continue to own it? Uh yeah, or you know, 365 00:17:23,240 --> 00:17:27,439 Speaker 1: like sell it to some telecom somewhere. You know, it 366 00:17:27,480 --> 00:17:30,439 Speaker 1: does sort of feel like one potential, like a terrible 367 00:17:30,480 --> 00:17:32,399 Speaker 1: but hilarious outcome of Twitter, Like do you mean to 368 00:17:32,440 --> 00:17:35,240 Speaker 1: like Verizon is what you're saying? Well, exactly, It's like 369 00:17:35,280 --> 00:17:40,960 Speaker 1: a subdivision of Yahoo, you know, subdivision Twitter Holy on 370 00:17:42,119 --> 00:17:44,199 Speaker 1: every other tweet is just an ad for like one 371 00:17:44,240 --> 00:17:47,280 Speaker 1: weird trick to remove your belt. It's the chum boxes 372 00:17:47,440 --> 00:17:50,240 Speaker 1: is in the feed now, I know, I love that 373 00:17:50,280 --> 00:17:52,680 Speaker 1: beautiful idea. Have you been talking people at other major 374 00:17:52,720 --> 00:17:54,320 Speaker 1: tech companies? Is there nobody who's looking at this as 375 00:17:54,320 --> 00:17:57,720 Speaker 1: an acquisition, as like an opportunistic like Google? Google doesn't 376 00:17:57,720 --> 00:18:00,000 Speaker 1: on Twitter. The thing that the social networks camp by 377 00:18:00,040 --> 00:18:01,840 Speaker 1: anything right now? Like Facebook tried to buy a gift 378 00:18:01,880 --> 00:18:04,240 Speaker 1: search engine and the UK told them absolutely not. They 379 00:18:04,280 --> 00:18:06,800 Speaker 1: said that would ruin competition in the market. So you know, 380 00:18:06,840 --> 00:18:08,760 Speaker 1: the idea that Facebook would require Twitter, I think is 381 00:18:08,800 --> 00:18:10,960 Speaker 1: just totally out of the question. Okay. I mean I 382 00:18:11,000 --> 00:18:12,560 Speaker 1: don't think I don't see Facebook, But you don't think 383 00:18:12,600 --> 00:18:16,040 Speaker 1: Google would be interested? Um? I think you know, Sooner 384 00:18:16,240 --> 00:18:18,239 Speaker 1: is such a like chill, laid back guy that I 385 00:18:18,280 --> 00:18:20,840 Speaker 1: think the prospect of owning Twitter would just probably give 386 00:18:20,920 --> 00:18:25,439 Speaker 1: him hives. You know, there's just kind of too many problems, right, Microsoft, Microsoft, 387 00:18:25,880 --> 00:18:27,880 Speaker 1: they wanted to buy Discord so bad, right, they want 388 00:18:27,880 --> 00:18:29,359 Speaker 1: to pay ten billion dollars for that thing. If they 389 00:18:29,359 --> 00:18:31,240 Speaker 1: could pick up Twitter for like a billion dollars, Like 390 00:18:31,280 --> 00:18:33,080 Speaker 1: I could see them wanting to do that. I don't 391 00:18:33,080 --> 00:18:35,240 Speaker 1: think a billion, it'll be more than a billion, right 392 00:18:35,560 --> 00:18:38,040 Speaker 1: by the time Musk is done with this, Like, I mean, 393 00:18:38,080 --> 00:18:40,800 Speaker 1: it depends if he drives away every single advertiser on 394 00:18:40,840 --> 00:18:43,800 Speaker 1: the platform except for the my Pillow guys. Right, yeah. 395 00:18:44,000 --> 00:18:45,600 Speaker 1: Does it feel that way to you though? Right now? 396 00:18:46,200 --> 00:18:47,760 Speaker 1: I mean, all I can tell you is like the 397 00:18:47,760 --> 00:18:50,280 Speaker 1: direction that we're going in right, Like, nothing has happened 398 00:18:50,320 --> 00:18:52,960 Speaker 1: in the past several weeks that have made me feel like, Okay, 399 00:18:53,200 --> 00:18:55,359 Speaker 1: he's starting to get it. It's like it's exactly what 400 00:18:55,440 --> 00:18:57,280 Speaker 1: you just said. Every time he's been presented with an 401 00:18:57,280 --> 00:18:59,639 Speaker 1: on ramp that would lead him to a more rational, 402 00:19:00,000 --> 00:19:02,159 Speaker 1: profitable path, he has chosen the other path. So he 403 00:19:02,160 --> 00:19:04,080 Speaker 1: could choose a different path and it would change everything, 404 00:19:04,119 --> 00:19:12,560 Speaker 1: but he's only been choosing one sort of path. M 405 00:19:17,920 --> 00:19:19,960 Speaker 1: You know, it does seem like kind of impossible that 406 00:19:20,040 --> 00:19:21,600 Speaker 1: you can just lose all of these people and not 407 00:19:21,680 --> 00:19:24,840 Speaker 1: have something eventually down the road, like just simply break. 408 00:19:25,400 --> 00:19:29,320 Speaker 1: It doesn't seem like it's broken yet, but like, does 409 00:19:29,320 --> 00:19:31,000 Speaker 1: it feel like there's something like that on the horizon. 410 00:19:31,000 --> 00:19:32,680 Speaker 1: Do you have any sense from people that you're talking 411 00:19:32,680 --> 00:19:34,760 Speaker 1: to who are there that like there's gonna be some 412 00:19:34,840 --> 00:19:37,679 Speaker 1: kind of catastrophic mom because all these prognosticators like the 413 00:19:37,720 --> 00:19:39,920 Speaker 1: day that happened, where like I've been in the industry 414 00:19:40,000 --> 00:19:42,280 Speaker 1: thirty years and it's only a matter of time before 415 00:19:43,640 --> 00:19:45,200 Speaker 1: it puts one lot of code in and the whole 416 00:19:45,200 --> 00:19:48,280 Speaker 1: thing goes down. I believe those people like I do. 417 00:19:48,359 --> 00:19:51,360 Speaker 1: I was like pretty early to saying I think there's 418 00:19:51,359 --> 00:19:53,399 Speaker 1: probably gonna be like a major outage of Twitter. It 419 00:19:53,440 --> 00:19:55,960 Speaker 1: could last like a day or more. I still think 420 00:19:56,080 --> 00:19:57,560 Speaker 1: we could see it. People d M me now and 421 00:19:57,600 --> 00:20:00,719 Speaker 1: it's like, hey, like my notifications are only showing September, 422 00:20:00,840 --> 00:20:03,159 Speaker 1: or like they're sending me videos of tweets jumping all 423 00:20:03,160 --> 00:20:05,760 Speaker 1: around their timeline. So I do think little stuff is 424 00:20:05,760 --> 00:20:07,879 Speaker 1: starting to break. Maybe the engineers who are still there, 425 00:20:07,880 --> 00:20:09,159 Speaker 1: we'll be able to get it under control and it 426 00:20:09,240 --> 00:20:11,159 Speaker 1: won't be a problem. There's also this question of like, 427 00:20:11,320 --> 00:20:14,919 Speaker 1: you know, every service relies on these SSL certifications, but 428 00:20:15,000 --> 00:20:16,919 Speaker 1: you need like dozens of them for all the different 429 00:20:16,960 --> 00:20:19,400 Speaker 1: micro services that run your company. And I've been told 430 00:20:19,400 --> 00:20:21,959 Speaker 1: by people tech companies, like at every tech company, one 431 00:20:21,960 --> 00:20:24,439 Speaker 1: of these services just stops working because it didn't make 432 00:20:24,440 --> 00:20:26,560 Speaker 1: it onto a spreadsheet, and somebody forgot to renew it, 433 00:20:26,880 --> 00:20:29,480 Speaker 1: and the teams that were responsible for managing these spreadsheets 434 00:20:29,480 --> 00:20:33,000 Speaker 1: on Twitter no longer exist. So you know, that's why 435 00:20:33,119 --> 00:20:34,880 Speaker 1: I think that we are likelier than not to see 436 00:20:34,880 --> 00:20:37,520 Speaker 1: a multi day outage. But you know it's not a guarantee, right, 437 00:20:37,560 --> 00:20:39,199 Speaker 1: Do you know how many people still work there? Do 438 00:20:39,240 --> 00:20:40,880 Speaker 1: we have a number? I think it's like probably around 439 00:20:40,880 --> 00:20:43,000 Speaker 1: two thousand, maybe a little bit less. And how many 440 00:20:43,000 --> 00:20:47,240 Speaker 1: people are working there when he took over. That's that's 441 00:20:47,240 --> 00:20:49,080 Speaker 1: got to be like a record or something, right like 442 00:20:49,119 --> 00:20:51,919 Speaker 1: in terms of like reduction and workforce. Yeah, it's a 443 00:20:51,960 --> 00:20:54,520 Speaker 1: pretty huge drop. Yeah, there is a lot of like 444 00:20:54,600 --> 00:20:57,760 Speaker 1: engineering talent and otherwise out in San Francisco right now 445 00:20:58,240 --> 00:21:02,680 Speaker 1: or the West coast generally for Alan. If it starts breaking, 446 00:21:02,800 --> 00:21:05,680 Speaker 1: is that the point where we know like it's real 447 00:21:06,080 --> 00:21:09,360 Speaker 1: because it feels all this stuff feels like the six accounts, 448 00:21:09,359 --> 00:21:11,080 Speaker 1: for instance, like has he done the thing? Has he 449 00:21:11,160 --> 00:21:13,639 Speaker 1: opened the floodgates? As he released death Con three or 450 00:21:13,680 --> 00:21:16,320 Speaker 1: whatever they're calling been told that they have started to 451 00:21:16,440 --> 00:21:17,879 Speaker 1: restore some of those accounts. I do you think it's 452 00:21:17,880 --> 00:21:20,440 Speaker 1: gonna take? Sometimes these are people like Milo right, Milo 453 00:21:20,560 --> 00:21:23,359 Speaker 1: yan Monopolis. I'm definitely mispronounced his last name. So I 454 00:21:23,560 --> 00:21:26,000 Speaker 1: don't know that accounts specifically, but that that certainly seems 455 00:21:26,040 --> 00:21:28,040 Speaker 1: like an account that would be included yet like something 456 00:21:28,080 --> 00:21:31,600 Speaker 1: that might have been banned for like rampant transphobia, or 457 00:21:31,680 --> 00:21:37,280 Speaker 1: for like hate speech or um, I don't know, mobbing behavior, 458 00:21:37,560 --> 00:21:40,600 Speaker 1: things that like Twitter typically banned for. You know, if 459 00:21:40,600 --> 00:21:43,440 Speaker 1: you had the wrong opinion about the president, they would 460 00:21:43,440 --> 00:21:46,159 Speaker 1: ban you. If you didn't like Trump, shadow ban you 461 00:21:46,200 --> 00:21:51,440 Speaker 1: all those people. Yeah, but they're not totally restored yet, 462 00:21:51,800 --> 00:21:54,800 Speaker 1: not not totally yet, but it's it has been decreed 463 00:21:54,800 --> 00:21:57,480 Speaker 1: that they will be. Have you felt any change in 464 00:21:57,520 --> 00:22:00,119 Speaker 1: your feed in what you're seeing? I mean because as 465 00:22:00,119 --> 00:22:02,479 Speaker 1: I do tweet about what Elon Musk does, I do 466 00:22:02,640 --> 00:22:05,000 Speaker 1: get a lot of the Mr Musk guys in my replies, 467 00:22:05,080 --> 00:22:07,239 Speaker 1: and I have to say, there isn't actually this perfect meme. 468 00:22:07,280 --> 00:22:09,280 Speaker 1: Have you seen this meme? It's like from the Simpsons 469 00:22:09,359 --> 00:22:12,639 Speaker 1: of somebody jumping Okay, so I think it's a I 470 00:22:12,640 --> 00:22:15,040 Speaker 1: think it's a Pooh or somebody's chumping in front of 471 00:22:15,040 --> 00:22:17,159 Speaker 1: a pool. Somebody's like trying to shoot him, and the 472 00:22:17,160 --> 00:22:19,800 Speaker 1: way it's labeled is it's essentially like weird. It's labeled 473 00:22:19,840 --> 00:22:22,480 Speaker 1: weird nerds are jumping in front of Elon Musk to 474 00:22:22,520 --> 00:22:24,480 Speaker 1: take a bullet from him. It's like it's like, I 475 00:22:24,480 --> 00:22:26,840 Speaker 1: think the person with the gun is like reasonable feet 476 00:22:26,880 --> 00:22:30,680 Speaker 1: it's like valid criticism. And then see Elon Musk and 477 00:22:30,720 --> 00:22:35,000 Speaker 1: then there's like like weird nerds, you know, defending Elon 478 00:22:35,080 --> 00:22:37,800 Speaker 1: Musk or whatever, or we're just we says weird nerds. Yes, 479 00:22:37,880 --> 00:22:41,280 Speaker 1: I have seen and and shared the meme. Yeah, I 480 00:22:41,280 --> 00:22:44,080 Speaker 1: am not much of a meme sharer generally, but man, 481 00:22:44,119 --> 00:22:46,639 Speaker 1: when a Mr. Musky shows up, it's so satisfying to 482 00:22:46,720 --> 00:22:49,640 Speaker 1: drop it because it truly like there's nothing they can say. 483 00:22:49,640 --> 00:22:51,840 Speaker 1: It's like, no, they really are just there to defend 484 00:22:51,920 --> 00:22:54,760 Speaker 1: a billionaire for no. No, It's it's so strange and 485 00:22:55,000 --> 00:22:56,879 Speaker 1: like they do have their own by the way, I'm 486 00:22:56,920 --> 00:22:58,920 Speaker 1: sure you've seen them. They have made their own versions 487 00:22:58,920 --> 00:23:05,560 Speaker 1: of the meme that counter they add some stuff. It's like, 488 00:23:05,680 --> 00:23:08,040 Speaker 1: you know, I'm not going to describe it here because 489 00:23:08,040 --> 00:23:10,119 Speaker 1: we've already described far too much of an image for 490 00:23:10,200 --> 00:23:13,159 Speaker 1: the listener, But yes, they have their own sort of 491 00:23:13,200 --> 00:23:17,000 Speaker 1: reverse attack. Simpson's mean but doesn't really land the way 492 00:23:17,040 --> 00:23:19,040 Speaker 1: that one does, which is I mean, I think the 493 00:23:19,080 --> 00:23:20,639 Speaker 1: thing that is, you know, we talked about this a 494 00:23:20,680 --> 00:23:24,600 Speaker 1: little bit before, but this whole idea of this, like 495 00:23:24,800 --> 00:23:28,200 Speaker 1: the cult of Elon Musk, Like I find it somewhat inexplicable, 496 00:23:28,240 --> 00:23:31,920 Speaker 1: and I think partially the pandemic and everybody being alone 497 00:23:31,960 --> 00:23:35,719 Speaker 1: and online a lot kind of like created more of 498 00:23:35,800 --> 00:23:40,280 Speaker 1: this energy. Clearly, like the Internet is home to the fanboy. 499 00:23:40,359 --> 00:23:42,240 Speaker 1: And I will say, I don't want to like, you know, 500 00:23:42,760 --> 00:23:45,600 Speaker 1: miss gender all of the fans or whatever, but there 501 00:23:45,640 --> 00:23:47,480 Speaker 1: are they are mostly boys. I mean, let's just be 502 00:23:47,680 --> 00:23:52,160 Speaker 1: I want to be clear. Like they present as very well, 503 00:23:52,200 --> 00:23:55,600 Speaker 1: they present as presenting is very masculine. That's what ELSE say. 504 00:23:55,640 --> 00:23:57,560 Speaker 1: But the Internet is the home of the fan boy. 505 00:23:57,560 --> 00:23:59,080 Speaker 1: And like I think, like you know, you listen, you 506 00:23:59,160 --> 00:24:02,679 Speaker 1: have a long a long history of covering technology companies, 507 00:24:02,680 --> 00:24:05,400 Speaker 1: and so you've seen at intervals this kind of fan 508 00:24:05,480 --> 00:24:08,760 Speaker 1: boyish behavior fan behavior. But it does feel like this 509 00:24:08,800 --> 00:24:11,679 Speaker 1: is such a you know, I don't know, it's like 510 00:24:11,720 --> 00:24:13,880 Speaker 1: it feels so personal to people, and I don't fully 511 00:24:13,920 --> 00:24:17,320 Speaker 1: understand the psychology of it, And you know, I wonder 512 00:24:17,359 --> 00:24:19,840 Speaker 1: how much that contributes to his actions, Like does it 513 00:24:19,880 --> 00:24:21,639 Speaker 1: feel like he's almost in some way doing some of 514 00:24:21,680 --> 00:24:24,520 Speaker 1: these things to get the reaction. Yeah. So one way 515 00:24:24,520 --> 00:24:26,320 Speaker 1: that I think Elon Musk is just like you and me, 516 00:24:26,560 --> 00:24:28,280 Speaker 1: is like it's exciting when a lot of people like 517 00:24:28,320 --> 00:24:30,359 Speaker 1: your tweet and retweet it and and like make you 518 00:24:30,400 --> 00:24:32,159 Speaker 1: feel like you're a really smart person who's made a 519 00:24:32,160 --> 00:24:35,120 Speaker 1: clever observation. It turns out that if you're a billionaire, 520 00:24:35,160 --> 00:24:36,919 Speaker 1: like that feels just as good. You know, then if 521 00:24:36,960 --> 00:24:39,679 Speaker 1: you're a common person it should It shouldn't though, right, 522 00:24:39,720 --> 00:24:40,920 Speaker 1: I mean, I think we can agree that if you 523 00:24:40,960 --> 00:24:42,720 Speaker 1: and I were billionaires, we would not be on Twitter, 524 00:24:42,840 --> 00:24:45,800 Speaker 1: right I think. I mean I'm actually I disagree. I 525 00:24:45,840 --> 00:24:47,520 Speaker 1: think I would be. And here's why. I think, once 526 00:24:47,560 --> 00:24:50,120 Speaker 1: you reach a certain level of power in this world, 527 00:24:50,200 --> 00:24:51,600 Speaker 1: Twitter is the only way you can feel like a 528 00:24:51,680 --> 00:24:54,240 Speaker 1: human again. Like you you It gives you just a 529 00:24:54,320 --> 00:24:56,640 Speaker 1: sense of danger, right, the idea that I could ruin 530 00:24:56,720 --> 00:24:59,280 Speaker 1: my entire life. You know, people are just thrilled by 531 00:24:59,320 --> 00:25:01,320 Speaker 1: the idea that it could get canceled, you know, so 532 00:25:01,359 --> 00:25:04,800 Speaker 1: they like flirt with it. I love this concept, Like 533 00:25:04,920 --> 00:25:06,560 Speaker 1: it's just like it's like, you know, the only way 534 00:25:06,600 --> 00:25:10,520 Speaker 1: I can feel anything is that's that's what it is. Yeah, 535 00:25:10,520 --> 00:25:12,480 Speaker 1: I think if you're a billionaire, there are lots of ways. One, 536 00:25:12,520 --> 00:25:14,920 Speaker 1: there are lots of ways you can get canceled and 537 00:25:15,040 --> 00:25:16,600 Speaker 1: you don't have to go on Twitter. How would you 538 00:25:16,680 --> 00:25:19,399 Speaker 1: do it? How would you do it? Well, it's funny 539 00:25:19,400 --> 00:25:22,160 Speaker 1: you should ask. I have been thinking a lot about 540 00:25:22,280 --> 00:25:26,399 Speaker 1: this lately. Maybe it's just that the negative feedback is 541 00:25:26,440 --> 00:25:28,680 Speaker 1: actually what he's looking for, you know, like he must 542 00:25:28,760 --> 00:25:31,040 Speaker 1: never hear no from the people around him. So I 543 00:25:31,080 --> 00:25:32,800 Speaker 1: was talking with somebody who worked with him a lot, 544 00:25:32,880 --> 00:25:35,280 Speaker 1: like after the acquisition, and this person was just saying 545 00:25:35,400 --> 00:25:37,399 Speaker 1: that their theory about why he is the way he 546 00:25:37,600 --> 00:25:40,800 Speaker 1: is is because of his media consumption diet, which is 547 00:25:40,840 --> 00:25:43,040 Speaker 1: mostly Twitter. It's mostly sort of you know, right wingers 548 00:25:43,080 --> 00:25:45,360 Speaker 1: on Twitter, and he's just sort of like fallen head 549 00:25:45,359 --> 00:25:47,960 Speaker 1: over heels from them. And of course they're telling him like, yes, 550 00:25:47,960 --> 00:25:50,800 Speaker 1: you're so right about everything, while they sort of you know, 551 00:25:51,160 --> 00:25:53,040 Speaker 1: gas him up. They're also being like, oh, and also 552 00:25:53,119 --> 00:25:54,879 Speaker 1: like do these like horrible things, because like it's the 553 00:25:54,880 --> 00:25:57,439 Speaker 1: only way to protect free speech and civilization, and he 554 00:25:57,480 --> 00:26:01,720 Speaker 1: falls for it. It's weird, though, because that seems dumb. 555 00:26:01,880 --> 00:26:03,800 Speaker 1: I mean, he's obviously not the world's smartest man. Okay, 556 00:26:03,920 --> 00:26:05,399 Speaker 1: let's just be clear. I don't think but have we 557 00:26:05,440 --> 00:26:08,280 Speaker 1: decided who the world's smartest? I don't know like that. 558 00:26:08,720 --> 00:26:13,440 Speaker 1: The Binance guy seems pretty, he's he's like, I don't 559 00:26:13,440 --> 00:26:18,520 Speaker 1: know if he's great. He seems smart, though, I think yeah, maybe, yeah, 560 00:26:18,680 --> 00:26:22,000 Speaker 1: maybe the FTX guy might be the Yeah, he would see. Yeah, 561 00:26:22,000 --> 00:26:23,959 Speaker 1: I haven't haven't read much about him lately, but you know, 562 00:26:24,000 --> 00:26:25,879 Speaker 1: as of two months ago, he seemed really smart. He 563 00:26:25,960 --> 00:26:28,760 Speaker 1: seemed really smart up until about two months ago, um 564 00:26:28,880 --> 00:26:31,240 Speaker 1: or a month. It hasn't been that long term. It's 565 00:26:31,240 --> 00:26:33,200 Speaker 1: been two fucking weeks there or something. It's like, that's 566 00:26:33,240 --> 00:26:35,520 Speaker 1: how what's going on with the timeline? Yeah, we haven't 567 00:26:35,520 --> 00:26:37,040 Speaker 1: figured out who the world smartest man is, but I 568 00:26:37,040 --> 00:26:39,320 Speaker 1: think we can all agree Elon Musk is not that person. 569 00:26:40,280 --> 00:26:43,280 Speaker 1: I'm not saying that he has to agree with like 570 00:26:43,400 --> 00:26:46,119 Speaker 1: whatever the alternate opinion is like on the left about 571 00:26:46,119 --> 00:26:48,560 Speaker 1: some of these things. And I'm not saying that some 572 00:26:48,640 --> 00:26:51,000 Speaker 1: of the things that the right wing thinks about Twitter 573 00:26:51,440 --> 00:26:55,400 Speaker 1: that they're completely baseless. There are probably some pockets some 574 00:26:55,480 --> 00:26:58,760 Speaker 1: places where they either have made bad decisions or overstepped 575 00:26:58,840 --> 00:27:00,720 Speaker 1: or whatever they had employees who were kind of off 576 00:27:00,960 --> 00:27:04,280 Speaker 1: doing their own thing, and it was like not well regulated. Sure, 577 00:27:04,440 --> 00:27:06,840 Speaker 1: like a well regulated militia. Twitter does not have one 578 00:27:06,840 --> 00:27:10,320 Speaker 1: of those. Uh not, Yeah, you must working on it, 579 00:27:10,680 --> 00:27:17,200 Speaker 1: Elon muskeet Um, it's fucking dumb bedside see sorry to gross. 580 00:27:17,200 --> 00:27:19,600 Speaker 1: It's just such a gross bedside scene. It's really like 581 00:27:20,080 --> 00:27:22,800 Speaker 1: there's so many things that could be there. But anyhow, 582 00:27:22,840 --> 00:27:24,119 Speaker 1: but yeah, I don't know who these people are that 583 00:27:24,200 --> 00:27:26,600 Speaker 1: cheering them on, Like it seems like he might be 584 00:27:26,640 --> 00:27:28,879 Speaker 1: able to see through some of like their rhetoric and 585 00:27:29,000 --> 00:27:30,720 Speaker 1: be like these guys seem actually seem kind of dumb, 586 00:27:31,240 --> 00:27:33,040 Speaker 1: you know. I mean this is a guy who's talking 587 00:27:33,080 --> 00:27:37,400 Speaker 1: about and he believes in climate change, right Ellen, Yeah, 588 00:27:37,480 --> 00:27:39,880 Speaker 1: I mean that was his whole thing. He's like, let's 589 00:27:39,920 --> 00:27:42,200 Speaker 1: save the planet or whatever. You know, does he now 590 00:27:42,240 --> 00:27:44,680 Speaker 1: like climate change maybe isn't real? Like is that what's 591 00:27:44,680 --> 00:27:46,480 Speaker 1: going on? That's kind of how it feels. I mean, 592 00:27:46,640 --> 00:27:49,919 Speaker 1: his views on a lot of things just seemed very malleable, 593 00:27:50,119 --> 00:27:51,439 Speaker 1: you know, like I don't think there are a lot 594 00:27:51,440 --> 00:27:54,320 Speaker 1: of fixed points there. I like how I'm like Casey explained, Elon, 595 00:27:55,359 --> 00:27:56,879 Speaker 1: you know, I've been writing a lot about this and 596 00:27:56,920 --> 00:27:58,439 Speaker 1: like that is sort of the number one thing that 597 00:27:58,480 --> 00:28:00,800 Speaker 1: I think people want is like explain Elon Musk. And 598 00:28:00,840 --> 00:28:02,280 Speaker 1: what I have found over the past month of writing 599 00:28:02,280 --> 00:28:04,840 Speaker 1: about him almost every single day is that there is 600 00:28:04,920 --> 00:28:07,400 Speaker 1: not a sort of logical through line that I can 601 00:28:07,520 --> 00:28:10,400 Speaker 1: draw for you that explains the guy. He's a whim 602 00:28:10,440 --> 00:28:14,480 Speaker 1: based person. He's a w BP baby. That's something you 603 00:28:14,520 --> 00:28:30,959 Speaker 1: can order. Okay, So what's the future here? What? First off? 604 00:28:30,960 --> 00:28:34,760 Speaker 1: Should Twitter die? Is? That is because you end every 605 00:28:34,800 --> 00:28:37,320 Speaker 1: interview I say, I don't always do that. I actually 606 00:28:37,560 --> 00:28:39,640 Speaker 1: have never said that, and so, but thank you for 607 00:28:39,680 --> 00:28:41,760 Speaker 1: pointing it out. I think it'd be a fun little segment. 608 00:28:42,240 --> 00:28:44,120 Speaker 1: Note to Adam and Lyra, we want to leave that 609 00:28:44,160 --> 00:28:49,000 Speaker 1: moment in that's very authentic and real. Um No, what 610 00:28:49,240 --> 00:28:51,800 Speaker 1: is the now? You've got me very self conscious about 611 00:28:51,840 --> 00:28:55,440 Speaker 1: using the phrase with what in future in it? Yeah, 612 00:28:55,440 --> 00:28:57,080 Speaker 1: but like what is the future hold here? It should 613 00:28:57,080 --> 00:28:59,680 Speaker 1: Twitter die? First off? Let me ask you that, and 614 00:28:59,720 --> 00:29:03,960 Speaker 1: you're opinion, I think it's still a little bit too 615 00:29:03,960 --> 00:29:06,440 Speaker 1: early for me to say, like I think Twitter should die. Also, 616 00:29:06,480 --> 00:29:09,600 Speaker 1: I'm very self interested in the continuation of Twitter, Like 617 00:29:09,840 --> 00:29:12,600 Speaker 1: you know, it's been an incredible story for my business. 618 00:29:12,640 --> 00:29:15,320 Speaker 1: And too. I use it to talk about a lot 619 00:29:15,360 --> 00:29:16,600 Speaker 1: of things. I learned a lot of things. I still 620 00:29:16,640 --> 00:29:18,120 Speaker 1: had a lot of value from Twitter. So you know, 621 00:29:18,160 --> 00:29:19,840 Speaker 1: I don't necessarily want it to die. I certainly don't 622 00:29:19,840 --> 00:29:21,560 Speaker 1: want it to die before there is a good replacement 623 00:29:21,600 --> 00:29:23,200 Speaker 1: for it. I don't think there is a good replacement 624 00:29:23,240 --> 00:29:25,880 Speaker 1: for it yet. Yeah, there's a lot of people competing 625 00:29:25,920 --> 00:29:28,480 Speaker 1: for that. Do you like any of them? So I 626 00:29:28,480 --> 00:29:31,560 Speaker 1: looked at High and it was absolutely terrible. It's empty, 627 00:29:31,600 --> 00:29:34,800 Speaker 1: I mean empty, but also just random porn stuff that 628 00:29:34,880 --> 00:29:37,400 Speaker 1: was like not even good, not even just you know, 629 00:29:37,440 --> 00:29:39,360 Speaker 1: like if they had been really high quality porn that 630 00:29:39,400 --> 00:29:41,120 Speaker 1: I wanted to see, how might be. Like I'm sticking 631 00:29:41,160 --> 00:29:44,320 Speaker 1: around here, I'd love to see a resurgence of Tumbler. 632 00:29:44,520 --> 00:29:47,200 Speaker 1: I think Tumbler is such an expressive and fun I mean, 633 00:29:47,240 --> 00:29:49,320 Speaker 1: it's not perfect. All of them are bad in some way, 634 00:29:49,360 --> 00:29:51,840 Speaker 1: but um, do I like any of them? I mean 635 00:29:51,920 --> 00:29:54,000 Speaker 1: I like mastered On a lot. As I mentioned before, 636 00:29:54,040 --> 00:29:56,360 Speaker 1: I think the problem with masted On is it has 637 00:29:56,400 --> 00:30:00,200 Speaker 1: a lot of the qualities of Twitter. The onboarding is 638 00:30:00,320 --> 00:30:05,640 Speaker 1: terrible and confusing, and when somebody simplifies that to a 639 00:30:05,640 --> 00:30:07,200 Speaker 1: place where it's as simple as sign up for a 640 00:30:07,240 --> 00:30:08,680 Speaker 1: Twitter account and you get to see all the things 641 00:30:08,680 --> 00:30:11,640 Speaker 1: you want to see. I think there's that's the closest 642 00:30:11,680 --> 00:30:14,680 Speaker 1: I've seen to something that is both feels like Twitter 643 00:30:15,480 --> 00:30:17,840 Speaker 1: but also feels different than Twitter in a way, like 644 00:30:17,920 --> 00:30:20,680 Speaker 1: feels like it's doing something or trying something new. It's 645 00:30:20,680 --> 00:30:22,560 Speaker 1: gonna be a while before everybody can adopt it because 646 00:30:22,600 --> 00:30:25,320 Speaker 1: there's no good you know, there's no good on ramp 647 00:30:25,360 --> 00:30:27,400 Speaker 1: to it if we can use our on ramp metaphor. 648 00:30:27,960 --> 00:30:30,200 Speaker 1: I look, I wrote about Masses on Twice seventeen. When 649 00:30:30,200 --> 00:30:31,680 Speaker 1: it first came out. It was like having a moment 650 00:30:31,720 --> 00:30:33,360 Speaker 1: and I wrote a piece and interview the guy and 651 00:30:33,480 --> 00:30:35,200 Speaker 1: seems like an interesting guy and he's kind of kept 652 00:30:35,280 --> 00:30:38,200 Speaker 1: going all these years, just sort of like this, ain't it? Man? 653 00:30:38,320 --> 00:30:39,800 Speaker 1: Like you just like pull it open. It just it 654 00:30:40,200 --> 00:30:42,800 Speaker 1: doesn't feel alive the way that the Twitter feels. I 655 00:30:42,800 --> 00:30:44,240 Speaker 1: guess you could get there, but it's just not I'm 656 00:30:44,240 --> 00:30:45,520 Speaker 1: not gonna be a defender. I don't want to be 657 00:30:45,520 --> 00:30:47,400 Speaker 1: a massive on defender. I haven't heard people say this, 658 00:30:47,480 --> 00:30:48,920 Speaker 1: and I think there's a debate going on and I 659 00:30:48,920 --> 00:30:50,640 Speaker 1: think there's some big issues with it. I mean, one 660 00:30:50,720 --> 00:30:52,840 Speaker 1: is like that it's a small group of people. It's 661 00:30:52,840 --> 00:30:55,000 Speaker 1: a very specific for people. It's a pretty white group 662 00:30:55,080 --> 00:30:57,080 Speaker 1: of people. That's one thing that's that's for sure. It's 663 00:30:57,080 --> 00:30:59,560 Speaker 1: a very eurocentric group of people in a lot of ways. 664 00:30:59,680 --> 00:31:01,240 Speaker 1: What it is It's like, it's like if all the 665 00:31:01,240 --> 00:31:02,600 Speaker 1: people who said that they were going to move to 666 00:31:02,640 --> 00:31:05,000 Speaker 1: Canada when Trump became president started a social network, Like 667 00:31:05,040 --> 00:31:08,200 Speaker 1: that's what Mason is. That is definitely a vibe. Though 668 00:31:08,240 --> 00:31:10,280 Speaker 1: I think it's changing daily. I feel like I can 669 00:31:10,320 --> 00:31:13,520 Speaker 1: see a progression again, I don't. I'm not like Mr Mastedon. 670 00:31:13,800 --> 00:31:15,560 Speaker 1: I will say that of all of the things I 671 00:31:15,600 --> 00:31:17,960 Speaker 1: messed around, I haven't tried post yet because I've signed 672 00:31:18,000 --> 00:31:19,720 Speaker 1: up for the waitlist and I have I've heard nothing 673 00:31:19,760 --> 00:31:21,720 Speaker 1: but bad things about it. Does not seem great to me. 674 00:31:22,240 --> 00:31:25,280 Speaker 1: I also think, like, what is interesting about massed On 675 00:31:25,520 --> 00:31:28,920 Speaker 1: and why it's worth exploring as a potential successor is 676 00:31:29,320 --> 00:31:32,760 Speaker 1: this top down approach. I think right now we're experiencing 677 00:31:33,320 --> 00:31:38,240 Speaker 1: the most problematic version of the top down sort of 678 00:31:38,400 --> 00:31:41,200 Speaker 1: social network ownership. And I think all of our social 679 00:31:41,240 --> 00:31:43,920 Speaker 1: network issues are like very much linked to the fact that, 680 00:31:44,000 --> 00:31:47,560 Speaker 1: like the control for the user is removed and it's 681 00:31:47,600 --> 00:31:49,720 Speaker 1: just kind of the whims of Mark Zuckerberg wants to 682 00:31:49,760 --> 00:31:52,080 Speaker 1: change your feed tomorrow, He's just gonna do that, or 683 00:31:52,120 --> 00:31:54,120 Speaker 1: if Elon must decides like the Nazis are back and 684 00:31:54,120 --> 00:31:55,960 Speaker 1: there's nothing you can do about it except just ride 685 00:31:55,960 --> 00:31:58,600 Speaker 1: the fucking wave. And I think that, like there's something 686 00:31:58,640 --> 00:32:01,240 Speaker 1: to be said for a version of this. I think 687 00:32:01,280 --> 00:32:03,440 Speaker 1: the decentralizing. I hate to say it, okay, I do. 688 00:32:03,520 --> 00:32:06,240 Speaker 1: I hate to use decentralized in this way, but this 689 00:32:06,320 --> 00:32:08,760 Speaker 1: idea of a decentralized social network where all of these 690 00:32:08,760 --> 00:32:11,040 Speaker 1: different places can talk but they're not all controlled in 691 00:32:11,080 --> 00:32:15,000 Speaker 1: the same way. He's really interesting. I don't see anybody 692 00:32:15,000 --> 00:32:17,520 Speaker 1: else trying, like what's the next thing? Like are you 693 00:32:17,560 --> 00:32:20,720 Speaker 1: a TikTok user? Yeah, but I don't. I don't post, 694 00:32:20,840 --> 00:32:22,440 Speaker 1: you know, just sort of like check out the vital 695 00:32:22,520 --> 00:32:25,400 Speaker 1: dances because you're a grown up, you're not posting. Come on. 696 00:32:25,560 --> 00:32:28,360 Speaker 1: My specific criticism of TikTok is it so much of 697 00:32:28,400 --> 00:32:32,160 Speaker 1: it is amateur comedians taking seventeen cracks at the same joke, 698 00:32:32,280 --> 00:32:33,600 Speaker 1: you know what I mean, Where it's like you got 699 00:32:33,600 --> 00:32:35,600 Speaker 1: the selfie cam and they have the little premise and 700 00:32:35,640 --> 00:32:39,960 Speaker 1: they're like, here's like every um coffee in San Francisco 701 00:32:40,120 --> 00:32:42,080 Speaker 1: or whatever, and then it's just that for like four 702 00:32:42,080 --> 00:32:43,680 Speaker 1: and a half minutes. Is it the thing where it's 703 00:32:43,680 --> 00:32:45,320 Speaker 1: back and forth and they're like one of them is 704 00:32:45,360 --> 00:32:48,000 Speaker 1: like like one person is the coffee and then it's 705 00:32:48,040 --> 00:32:49,840 Speaker 1: the it's the same person, but it's a person like 706 00:32:49,920 --> 00:32:54,440 Speaker 1: drinking the coffee or whatever. I love the actions hilarious. 707 00:32:54,880 --> 00:32:56,600 Speaker 1: But you're also an improv guy. I mean we should 708 00:32:56,640 --> 00:32:59,520 Speaker 1: say you're a big You're big improv dude. Your second 709 00:32:59,560 --> 00:33:02,600 Speaker 1: job is your profashional improv person. The second job is 710 00:33:02,640 --> 00:33:04,880 Speaker 1: to make people laugh. Jo. You love to live, laugh 711 00:33:05,000 --> 00:33:08,000 Speaker 1: and and love. Really, the only trinity of life is 712 00:33:08,040 --> 00:33:10,680 Speaker 1: what I'm doing. I'm living laughing. You do you do 713 00:33:10,680 --> 00:33:13,440 Speaker 1: do improv? I do do improv. That's like sort of 714 00:33:13,480 --> 00:33:15,720 Speaker 1: my creative outlets. So you're seeing a lot of bad 715 00:33:15,760 --> 00:33:19,240 Speaker 1: comedians on there because the algorithm is leading you to 716 00:33:19,320 --> 00:33:23,479 Speaker 1: these comedians. Like the truth is, that's like once TikTok 717 00:33:23,480 --> 00:33:25,240 Speaker 1: figured out I was gay, it started showing me a 718 00:33:25,280 --> 00:33:28,440 Speaker 1: lot of like Broadway and like theater kid content, and 719 00:33:28,480 --> 00:33:31,240 Speaker 1: like I do actually enjoy it, but I don't enjoy 720 00:33:31,240 --> 00:33:33,640 Speaker 1: it to the like degree that TikTok shows it to me. 721 00:33:33,720 --> 00:33:35,640 Speaker 1: I'm like, there has to be something that is not 722 00:33:35,760 --> 00:33:38,120 Speaker 1: like high school musical that I can watch right now. 723 00:33:38,240 --> 00:33:41,600 Speaker 1: But TikTok's algorithm is sort of like, you spent two 724 00:33:41,680 --> 00:33:44,000 Speaker 1: seconds extra on this one video, and now we think 725 00:33:44,640 --> 00:33:47,280 Speaker 1: this is it for you. It's like you know, which 726 00:33:47,280 --> 00:33:49,479 Speaker 1: like sometimes it very much is. And I think taketok 727 00:33:49,520 --> 00:33:51,600 Speaker 1: like somebody changing the channels for you. If you're just 728 00:33:51,640 --> 00:33:54,000 Speaker 1: sitting there watching TV and you don't know what's gonna 729 00:33:54,000 --> 00:33:55,240 Speaker 1: come up and act, and it's sort of like, I 730 00:33:55,240 --> 00:33:57,240 Speaker 1: guess I'll keep waiting, maybe something really good it's gonna 731 00:33:57,280 --> 00:33:59,440 Speaker 1: show up. It's a slot machine, man, Like. I think 732 00:33:59,440 --> 00:34:01,480 Speaker 1: that's why it's so powerful, is just the idea that 733 00:34:01,520 --> 00:34:04,360 Speaker 1: maybe a good video will will happen next. But TikTok 734 00:34:04,400 --> 00:34:07,520 Speaker 1: can't replace what Twitter does. Facebook is not going to 735 00:34:07,600 --> 00:34:10,320 Speaker 1: come back, right, No young people are gonna be joining 736 00:34:10,320 --> 00:34:12,719 Speaker 1: Facebook anytime soon. I don't think so. I don't know 737 00:34:12,760 --> 00:34:13,960 Speaker 1: what the demo of Twitter is. I don't know if 738 00:34:14,000 --> 00:34:15,439 Speaker 1: it's that young, to be honest, I mean I feel 739 00:34:15,440 --> 00:34:17,680 Speaker 1: like it's all right. I mean like that's why the 740 00:34:17,719 --> 00:34:19,239 Speaker 1: media is obsessed with this story, is like this is 741 00:34:19,239 --> 00:34:21,160 Speaker 1: the only social network that any of us were actually 742 00:34:21,160 --> 00:34:24,520 Speaker 1: good at right Well, I think actually a big part 743 00:34:24,560 --> 00:34:27,200 Speaker 1: of the story is the the perceived importance of Twitter 744 00:34:27,320 --> 00:34:29,560 Speaker 1: versus the actual importance of Twitter. And I actually had 745 00:34:29,640 --> 00:34:32,839 Speaker 1: Gia Tolentino on the show and we talked about this, 746 00:34:33,120 --> 00:34:35,560 Speaker 1: which is, like, it feels real important to us, and 747 00:34:35,560 --> 00:34:37,600 Speaker 1: there's like two million people or something on it, which 748 00:34:37,600 --> 00:34:39,480 Speaker 1: is not a lot of people by comparison to other 749 00:34:39,520 --> 00:34:41,839 Speaker 1: social networks. But there are a lot of people who 750 00:34:41,840 --> 00:34:44,560 Speaker 1: are in media who decide on, like what the headline 751 00:34:44,600 --> 00:34:48,160 Speaker 1: is for tomorrow's paper, who are like writing stories that 752 00:34:48,200 --> 00:34:50,920 Speaker 1: are going to inform this larger sort of piece of culture. 753 00:34:51,080 --> 00:34:52,799 Speaker 1: And for some reason, we all think and Elon Must 754 00:34:52,800 --> 00:34:55,400 Speaker 1: seems to agree, and I think he's kind of wrong 755 00:34:56,200 --> 00:34:58,960 Speaker 1: that like it is as important as everybody thinks it is. 756 00:34:59,719 --> 00:35:02,440 Speaker 1: You know, talks about you know, it's gonna save humanity 757 00:35:02,440 --> 00:35:04,120 Speaker 1: and civilization and all that. Like I don't I don't 758 00:35:04,120 --> 00:35:05,920 Speaker 1: see that as being an outcome for Twitter. Like it 759 00:35:06,040 --> 00:35:09,360 Speaker 1: it's as a sort of media politics sports app with 760 00:35:09,400 --> 00:35:12,000 Speaker 1: maybe a little bit of entertainment thrown in. And I 761 00:35:12,040 --> 00:35:14,320 Speaker 1: think you could build a hugely valuable business around that, 762 00:35:14,360 --> 00:35:16,880 Speaker 1: but you gotta make some different decisions your Instagram is 763 00:35:16,880 --> 00:35:18,440 Speaker 1: one of my bright spots in my day because it 764 00:35:18,480 --> 00:35:21,360 Speaker 1: can I can I tell you that that you post 765 00:35:21,520 --> 00:35:23,440 Speaker 1: Casey if you don't follow him on Instagram, I don't 766 00:35:23,440 --> 00:35:25,120 Speaker 1: even know if your ship is public, but like everybody 767 00:35:25,120 --> 00:35:27,319 Speaker 1: should follow him. It is every day, And I don't 768 00:35:27,320 --> 00:35:29,319 Speaker 1: know where you find the time to this, To be 769 00:35:29,360 --> 00:35:31,600 Speaker 1: honest with you, like, maybe you do it quickly. You 770 00:35:31,600 --> 00:35:35,120 Speaker 1: follow the right accounts. Every day. He'll put funny tweets 771 00:35:35,120 --> 00:35:38,120 Speaker 1: that he finds on his Instagram, which to me is 772 00:35:38,160 --> 00:35:40,520 Speaker 1: like how I would like to experience Twitter, to be honest, 773 00:35:40,520 --> 00:35:44,040 Speaker 1: like a highly curated experience of the best stuff on there, 774 00:35:44,320 --> 00:35:46,640 Speaker 1: and I like will regularly at the end of my day, 775 00:35:46,960 --> 00:35:49,200 Speaker 1: I sit down. I have this lounge chair, I sit in. 776 00:35:49,280 --> 00:35:52,480 Speaker 1: I'll have a drink, maybe a little cigaretta, which I 777 00:35:52,480 --> 00:35:54,839 Speaker 1: like to smoke. I'll setting the scene here, the lights 778 00:35:54,880 --> 00:35:57,319 Speaker 1: are down low, maybe there's a fire roaring in the fireplace, 779 00:35:57,880 --> 00:36:00,759 Speaker 1: and I'll just I'll whip open Install Graham and just 780 00:36:00,880 --> 00:36:06,440 Speaker 1: open up Casey Newton's fucking feed his stories and just 781 00:36:06,600 --> 00:36:10,399 Speaker 1: ride just joyous waves of Twitter comedy. I just say, Josh, 782 00:36:10,520 --> 00:36:13,000 Speaker 1: I put stuff that's like extra gay and sexually explicit 783 00:36:13,040 --> 00:36:15,719 Speaker 1: on my close Friends story, I could add I want 784 00:36:15,719 --> 00:36:17,839 Speaker 1: to see everything. I want to see all of it. 785 00:36:17,920 --> 00:36:20,280 Speaker 1: And as you know, I'm an ally, so I'm ready 786 00:36:20,280 --> 00:36:23,800 Speaker 1: for whatever. As you know, an ally what all of 787 00:36:23,840 --> 00:36:28,040 Speaker 1: the allies are saying all over the place, It's like, no, 788 00:36:28,160 --> 00:36:29,960 Speaker 1: it's so good and and and like all the time, 789 00:36:30,000 --> 00:36:32,880 Speaker 1: I'm sitting there just giggling, and Laura's like, what are 790 00:36:32,920 --> 00:36:35,480 Speaker 1: you doing, I'm like, Okay, Sy's feed is so good. 791 00:36:35,840 --> 00:36:37,759 Speaker 1: Well nice to me to say. Okay, So two things. 792 00:36:37,760 --> 00:36:39,480 Speaker 1: So one all that, so I have an alt account. 793 00:36:39,520 --> 00:36:41,960 Speaker 1: I followed some like funny people, some gay people, like 794 00:36:42,200 --> 00:36:44,680 Speaker 1: the Outgruth just serves me that stuff. So it's really 795 00:36:44,680 --> 00:36:47,840 Speaker 1: mostly just Twitter algorithm that is sharing that stuff for me. Um. 796 00:36:47,880 --> 00:36:49,919 Speaker 1: But to that is the other thing I love about Twitter. 797 00:36:49,920 --> 00:36:51,759 Speaker 1: Twitter was the only funny social network. You think I 798 00:36:51,800 --> 00:36:54,400 Speaker 1: ever laughed looking at Instagram? No, like, but it's like, 799 00:36:54,440 --> 00:36:56,080 Speaker 1: you know, and I guess TikTok every once in a while, 800 00:36:56,120 --> 00:36:57,560 Speaker 1: but it's like, you know, I'm not. I'm not laughing 801 00:36:57,560 --> 00:37:00,440 Speaker 1: looking at most stuff. You never laughed reading Facebook. So 802 00:37:00,480 --> 00:37:01,839 Speaker 1: that that's what I love about you know. I mean, 803 00:37:01,840 --> 00:37:03,480 Speaker 1: TikTok has a little bit of comedy and some of 804 00:37:03,480 --> 00:37:05,160 Speaker 1: the some of the comedians aren't bad. Some of the 805 00:37:05,160 --> 00:37:07,840 Speaker 1: stuff is quite inventive. But I tweeted about this like 806 00:37:07,920 --> 00:37:09,719 Speaker 1: a few weeks ago, and I'm like, the thing I 807 00:37:09,719 --> 00:37:12,360 Speaker 1: think if Twitter does implode, ultimately the thing the number 808 00:37:12,360 --> 00:37:14,680 Speaker 1: one thing I will miss the most. It's not breaking 809 00:37:14,719 --> 00:37:17,360 Speaker 1: news or people arguing or can you believe what Trump tweeted? 810 00:37:17,360 --> 00:37:21,560 Speaker 1: It is like there is a type of written comedy 811 00:37:21,719 --> 00:37:25,240 Speaker 1: that grew out of Twitter that could only exist on Twitter, 812 00:37:25,320 --> 00:37:28,200 Speaker 1: that only functions on Twitter. Really, I guess it kind 813 00:37:28,200 --> 00:37:30,040 Speaker 1: of functions if you throw out your Instagram feed, But 814 00:37:30,280 --> 00:37:32,480 Speaker 1: it only functions because I know the language of Twitter, 815 00:37:32,520 --> 00:37:34,960 Speaker 1: and that's what makes these things funny. I will say 816 00:37:35,000 --> 00:37:37,239 Speaker 1: not to not to go back to Mastodon, but I 817 00:37:37,280 --> 00:37:40,879 Speaker 1: have seen and experienced things like that I Mastodon, which 818 00:37:40,880 --> 00:37:42,440 Speaker 1: has given me a tiny glimmer of hope that it 819 00:37:42,480 --> 00:37:47,520 Speaker 1: could exist elsewhere. You've laughed at a mastodonto, so I think, yes, 820 00:37:47,719 --> 00:37:51,400 Speaker 1: first off, let's get they got to change that terminology, 821 00:37:52,160 --> 00:37:55,960 Speaker 1: but I think they Unfortunately the app that I have 822 00:37:56,000 --> 00:37:59,319 Speaker 1: been using predominantly to and interface with Mastheton is called two. 823 00:37:59,719 --> 00:38:02,560 Speaker 1: So it's a real problem for me personally. Are you 824 00:38:02,600 --> 00:38:04,759 Speaker 1: okay there's are a breaking news story going on right now. 825 00:38:04,760 --> 00:38:07,080 Speaker 1: I saw you looking to the side. Oh no, Brooke 826 00:38:07,360 --> 00:38:15,040 Speaker 1: Hammerling is complaining because it's okay, So whatever the story is. Basically, 827 00:38:15,080 --> 00:38:17,320 Speaker 1: when we started our podcast, they gave us Harra Swisher's 828 00:38:17,320 --> 00:38:19,760 Speaker 1: old feed and it became a thing. What was the feed? 829 00:38:19,760 --> 00:38:23,520 Speaker 1: It was was say feed podcast, but the Times gave 830 00:38:23,600 --> 00:38:25,400 Speaker 1: us the Hardwork feed. And so now some people are 831 00:38:25,400 --> 00:38:28,120 Speaker 1: seeing hard Fork in their Spotify wraps even though they 832 00:38:28,120 --> 00:38:30,640 Speaker 1: were really sway listeners, and they're having emotions about it 833 00:38:30,880 --> 00:38:32,759 Speaker 1: and so anyway, so that that was what I was 834 00:38:32,760 --> 00:38:36,360 Speaker 1: looking at. And Brooke Camerling is yelling at you on Twitter. 835 00:38:36,920 --> 00:38:39,359 Speaker 1: Yeah yeah, she said, no offense to the guys who 836 00:38:39,440 --> 00:38:41,520 Speaker 1: hosts at and White Times. That's me at me next time. 837 00:38:41,680 --> 00:38:42,960 Speaker 1: But she goes out of her way to say she 838 00:38:42,960 --> 00:38:45,440 Speaker 1: hasn't listened to Hard Work, So um, that's where she's at. 839 00:38:45,480 --> 00:38:47,840 Speaker 1: I mean, I get it's it's two guys. Two guys 840 00:38:48,120 --> 00:38:52,600 Speaker 1: guys are over. It was guys are extremely We're done 841 00:38:52,640 --> 00:38:55,720 Speaker 1: with you. We don't need any of us anymore. She says, 842 00:38:55,760 --> 00:38:59,200 Speaker 1: the two guys on a podcast right now, turn us off. 843 00:38:59,320 --> 00:39:02,960 Speaker 1: Are you still listening to the off? They can't help themselves. 844 00:39:02,960 --> 00:39:04,120 Speaker 1: But it's for you know, it's for the like of 845 00:39:04,200 --> 00:39:05,759 Speaker 1: private by guys. I mean honest, So there might be 846 00:39:05,800 --> 00:39:08,080 Speaker 1: at some guys listening. Um, you know, you know he 847 00:39:08,120 --> 00:39:12,000 Speaker 1: had a strong woman reporter, the best in her space, 848 00:39:12,080 --> 00:39:15,319 Speaker 1: one of the best all time, legend, she'd a great 849 00:39:15,360 --> 00:39:18,680 Speaker 1: fucking podcast, And these two white guys come steamrolling into 850 00:39:18,719 --> 00:39:21,759 Speaker 1: the feed exact classic, honestly classic guy behavior. How many 851 00:39:21,800 --> 00:39:24,640 Speaker 1: timeff In a way, it's like a kind of a 852 00:39:24,760 --> 00:39:28,160 Speaker 1: very long you interrupting her when you think about like 853 00:39:28,160 --> 00:39:34,520 Speaker 1: a very big, like technically difficult interruption for ultimate. Really 854 00:39:34,840 --> 00:39:37,120 Speaker 1: it really is. You're like, here's how a podcast should 855 00:39:37,120 --> 00:39:42,440 Speaker 1: actually sing kara. But yeah, I get I understand her argument. Um, 856 00:39:43,160 --> 00:39:45,600 Speaker 1: but I do love that podcast that hard Fork. Wait 857 00:39:45,600 --> 00:39:48,480 Speaker 1: wait bit, you're you're doing this podcast for a company? 858 00:39:48,560 --> 00:39:49,839 Speaker 1: Oh I would? I was like, can I get Ben 859 00:39:49,840 --> 00:39:52,080 Speaker 1: Shapiro's feet? Can we slide me in there instead of 860 00:39:52,080 --> 00:39:54,440 Speaker 1: Ben Shapiro? I think that would. I think the fans 861 00:39:54,600 --> 00:39:57,120 Speaker 1: is what that's what they're looking for to another one 862 00:39:57,160 --> 00:40:00,840 Speaker 1: from one Jewish guy another They won't even notice. Yeah. No, 863 00:40:00,920 --> 00:40:03,360 Speaker 1: I would love to be split into somebody's feed. My 864 00:40:03,520 --> 00:40:05,480 Speaker 1: dream in life is for somebode like we have this 865 00:40:05,600 --> 00:40:08,440 Speaker 1: dormant feed. It's got like a hundred thousand subscribers. Do 866 00:40:08,480 --> 00:40:10,120 Speaker 1: you mind if we just put your podcast on it? 867 00:40:10,520 --> 00:40:12,960 Speaker 1: Like they somebody should sell those that should be a business. 868 00:40:13,000 --> 00:40:14,920 Speaker 1: Should be a business. They should be they should be 869 00:40:14,920 --> 00:40:18,000 Speaker 1: dealing those out, you know, like a like a drug 870 00:40:18,040 --> 00:40:21,520 Speaker 1: dealer for the highest bidder. Why isn't go Daddy invest 871 00:40:21,560 --> 00:40:24,560 Speaker 1: in your service that sells podcast feed? This is I'm 872 00:40:24,600 --> 00:40:26,880 Speaker 1: just a free fucking idea, honestly, and that's why so 873 00:40:27,040 --> 00:40:28,600 Speaker 1: poor to listen to pockets. You never know when you're 874 00:40:28,600 --> 00:40:31,200 Speaker 1: gonna hear a billion dollar idea on this podcast. Thank you? 875 00:40:31,239 --> 00:40:33,200 Speaker 1: All right, so listen, we're probably running. I mean, we've 876 00:40:33,200 --> 00:40:35,560 Speaker 1: gone through a lot here today, but we should probably 877 00:40:35,600 --> 00:40:37,399 Speaker 1: do a little plug time for you, which I feel 878 00:40:37,440 --> 00:40:38,719 Speaker 1: like it is what was what people want. And we 879 00:40:38,840 --> 00:40:41,319 Speaker 1: we have touched on hard fork, which is the name. 880 00:40:41,360 --> 00:40:42,960 Speaker 1: I have a lot of questions, but I know I 881 00:40:43,040 --> 00:40:46,200 Speaker 1: understand what it is. My impression is that if you 882 00:40:46,239 --> 00:40:49,680 Speaker 1: were a stranger coming to the name hard Fork, you'd 883 00:40:49,719 --> 00:40:52,279 Speaker 1: have a lot of confusion. Tell us about in a 884 00:40:52,320 --> 00:40:54,600 Speaker 1: hard fork. Your your listeners are very sophisticated. They probably 885 00:40:54,640 --> 00:40:56,000 Speaker 1: already know what a hard fork is, you know, a 886 00:40:56,040 --> 00:40:58,520 Speaker 1: hard fork does not want to explain it. You're like, 887 00:40:58,560 --> 00:41:02,200 Speaker 1: I actually don't know, Like actually I was hoping you 888 00:41:02,239 --> 00:41:05,759 Speaker 1: knew what it was, because no, here's the deal. We uh, 889 00:41:05,920 --> 00:41:08,760 Speaker 1: when we pitched the show, it was you know, last fall, 890 00:41:09,160 --> 00:41:12,120 Speaker 1: and we were like, well, obviously crypto is here to stay. 891 00:41:12,360 --> 00:41:14,719 Speaker 1: And so it's like a good kind of crypto term. 892 00:41:14,840 --> 00:41:17,040 Speaker 1: And in crypto, a hard work is where something has 893 00:41:17,080 --> 00:41:19,440 Speaker 1: gone disastrously wrong and they sort of have to rewind 894 00:41:19,480 --> 00:41:22,239 Speaker 1: the blockchain back and start over. Right. Yeah, it's also 895 00:41:22,239 --> 00:41:25,920 Speaker 1: a coding thing. I mean, I think most of your 896 00:41:25,960 --> 00:41:29,320 Speaker 1: listeners have probably forked code at least fifty times. Okay, 897 00:41:29,480 --> 00:41:32,840 Speaker 1: we're forking and forking over here, playing on forking several 898 00:41:32,920 --> 00:41:38,040 Speaker 1: lines of code after this before you fork your code. Yeah, 899 00:41:38,280 --> 00:41:41,239 Speaker 1: so that's that's what it is. And uh, you know, 900 00:41:41,320 --> 00:41:43,960 Speaker 1: we're we're six episodes in. We're having a good here's 901 00:41:43,960 --> 00:41:45,480 Speaker 1: the Here's what I'm gonnae peop about the show because 902 00:41:45,520 --> 00:41:47,719 Speaker 1: it's very low concept. It is two people talking, but 903 00:41:48,160 --> 00:41:49,839 Speaker 1: it is just like this, it's kind of like the 904 00:41:50,080 --> 00:41:52,560 Speaker 1: other other. It's like that we don't interrupt each other 905 00:41:52,600 --> 00:41:54,000 Speaker 1: as much as you do on this show. You know, 906 00:41:54,080 --> 00:41:56,360 Speaker 1: it's a little more chill. But what I will say 907 00:41:56,800 --> 00:41:59,040 Speaker 1: is there's a lot of like tech podcasts out there, 908 00:41:59,080 --> 00:42:00,960 Speaker 1: and we are truly trying to have a good time. 909 00:42:01,040 --> 00:42:02,600 Speaker 1: We're not here to doom and gloomy about the end 910 00:42:02,640 --> 00:42:04,160 Speaker 1: of the world. We're gonna try to make you laugh 911 00:42:04,160 --> 00:42:05,680 Speaker 1: while you're listening to the show. And it turns out 912 00:42:05,719 --> 00:42:07,920 Speaker 1: if you just do that, you're separating yourself from the 913 00:42:08,040 --> 00:42:12,680 Speaker 1: vast majority of all tech podcast I hear you, actually 914 00:42:12,719 --> 00:42:15,000 Speaker 1: and I and I love that for you and for 915 00:42:15,080 --> 00:42:18,160 Speaker 1: Kevin Ruce, your co host. Heaven is wonderful listen. I've 916 00:42:18,200 --> 00:42:21,040 Speaker 1: listened to many, to several at least one episodes. I've 917 00:42:21,080 --> 00:42:24,520 Speaker 1: enjoyed all of them. And well, you know what's the 918 00:42:24,520 --> 00:42:26,440 Speaker 1: funny thing is it just appeared in my I was 919 00:42:26,520 --> 00:42:29,719 Speaker 1: I had subscribed this way, it just showed up. I 920 00:42:29,760 --> 00:42:31,520 Speaker 1: like that you got that. I like that you made 921 00:42:31,560 --> 00:42:33,400 Speaker 1: that point about me interrupting it is a problem that 922 00:42:33,480 --> 00:42:35,960 Speaker 1: I have. Well, that's like I like coming on the show. Also, 923 00:42:36,000 --> 00:42:37,360 Speaker 1: by the way, you know I used to work for you. 924 00:42:37,400 --> 00:42:39,600 Speaker 1: I know you a great exeative gratitude. You hired me 925 00:42:39,640 --> 00:42:41,080 Speaker 1: at the Verge and it really set me up for 926 00:42:41,040 --> 00:42:42,840 Speaker 1: an amazing things, So of course I would talk to 927 00:42:42,880 --> 00:42:45,000 Speaker 1: you about anything. But when I when I first joined, 928 00:42:45,120 --> 00:42:47,959 Speaker 1: I was so intimidated by you because you held my 929 00:42:47,960 --> 00:42:50,080 Speaker 1: my very fate in your hands. And so I'm excited 930 00:42:50,120 --> 00:42:51,919 Speaker 1: to come on your show and like, actually, I feel 931 00:42:51,920 --> 00:42:53,800 Speaker 1: like I can interrupt you back and not be the 932 00:42:53,920 --> 00:42:56,200 Speaker 1: end of my life. So for yes, you know, I 933 00:42:56,280 --> 00:42:59,480 Speaker 1: was raised now I'm I'm I'm a atheist basically, but 934 00:42:59,560 --> 00:43:00,960 Speaker 1: I was raised in the Jewish ow And as you know, 935 00:43:01,000 --> 00:43:04,400 Speaker 1: our love language is interruption. Um to me, it's anti semitic. 936 00:43:04,440 --> 00:43:08,040 Speaker 1: If you're like mad about interruptions that, let's say that. 937 00:43:08,239 --> 00:43:10,840 Speaker 1: And we we have to stand by our Jewish friends 938 00:43:11,040 --> 00:43:12,799 Speaker 1: during this moment. We really do. It's not just. It's 939 00:43:12,840 --> 00:43:15,279 Speaker 1: not just when it's really big stuff. Sometimes it really 940 00:43:15,280 --> 00:43:17,399 Speaker 1: small stuff, Like if you don't like me interrupting you, 941 00:43:17,960 --> 00:43:20,600 Speaker 1: that's you're saying my culture is not valid. Uh, And 942 00:43:20,680 --> 00:43:23,000 Speaker 1: so I think it's important to just put that out there. 943 00:43:23,000 --> 00:43:25,319 Speaker 1: But I did hire you at the Verge, but only 944 00:43:25,360 --> 00:43:27,799 Speaker 1: because you're a brilliant genius who's amazing at what you do, 945 00:43:28,000 --> 00:43:31,360 Speaker 1: and to not hire you would have been so obviously 946 00:43:31,400 --> 00:43:33,920 Speaker 1: a mistake. I think I've read one good story when 947 00:43:33,960 --> 00:43:35,480 Speaker 1: you hired me at the Verge. You you you you took 948 00:43:35,480 --> 00:43:38,000 Speaker 1: a risk. It was do you remember the story? Yes, 949 00:43:38,600 --> 00:43:41,120 Speaker 1: so the story that I broke about Twitter. It was 950 00:43:41,120 --> 00:43:44,239 Speaker 1: about Twitter. It was literally out. It was they had 951 00:43:44,280 --> 00:43:47,200 Speaker 1: bought this music company and we're making a standalone music app. 952 00:43:47,400 --> 00:43:48,879 Speaker 1: And it was like, they do that, and they did 953 00:43:48,920 --> 00:43:50,520 Speaker 1: that and it didn't go great for them, and they 954 00:43:50,560 --> 00:43:55,759 Speaker 1: shut it down called Twitter Music. Oh oh, Twitter Music. 955 00:43:55,920 --> 00:44:00,200 Speaker 1: I would subscribe to the Twitter music like account for 956 00:44:00,239 --> 00:44:03,200 Speaker 1: a while and they would post like music. Yes, right, 957 00:44:03,239 --> 00:44:05,839 Speaker 1: they put they posted music. Yeah, maybe maybe you want 958 00:44:05,880 --> 00:44:08,080 Speaker 1: to bring that back. I mean, I gotta try something, 959 00:44:08,440 --> 00:44:10,880 Speaker 1: okay real quick before we go. You're protected, of course 960 00:44:10,960 --> 00:44:13,520 Speaker 1: by your your various jobs that you do in the 961 00:44:13,520 --> 00:44:15,719 Speaker 1: world of journalism odd jobs. Yeah, I mean you are, 962 00:44:16,200 --> 00:44:18,279 Speaker 1: technically speaking still you were still a member of the 963 00:44:18,360 --> 00:44:20,880 Speaker 1: Verge staff craft. I'm a contributing editor there, you know. 964 00:44:21,320 --> 00:44:23,680 Speaker 1: And you also have platform Er. Yes, so my main 965 00:44:23,760 --> 00:44:26,400 Speaker 1: job as I read a newsletter called Platformer, which you 966 00:44:26,440 --> 00:44:30,080 Speaker 1: can find a platformer dot news. Um. But yeah, is 967 00:44:30,120 --> 00:44:32,360 Speaker 1: it a substack. That's a substack. It is on the 968 00:44:32,400 --> 00:44:35,000 Speaker 1: sub stack platform. Yeah. Yeah. How are you feeling about 969 00:44:35,000 --> 00:44:36,759 Speaker 1: that relationship? You feeling good? About Substack. I mean, I 970 00:44:36,760 --> 00:44:38,359 Speaker 1: think I think it's fine. I think when you look 971 00:44:38,360 --> 00:44:40,680 Speaker 1: at what the other platforms take from their creators in 972 00:44:40,719 --> 00:44:43,040 Speaker 1: terms of just raw cash, like sub stack actually is 973 00:44:43,040 --> 00:44:45,080 Speaker 1: the most generous. You keep ninety percent of it, you 974 00:44:45,080 --> 00:44:47,439 Speaker 1: know before you're a little stripe fees. So I feel 975 00:44:47,440 --> 00:44:50,200 Speaker 1: okay about it. But you know, nothing is forever is 976 00:44:50,239 --> 00:44:53,080 Speaker 1: sort of how okay? You heard it here first, casey 977 00:44:53,360 --> 00:44:55,840 Speaker 1: and taking platform or off sub Stack shocking stuff. You 978 00:44:55,880 --> 00:44:59,120 Speaker 1: heard it here first. The ephemerality of all fairs. It's true, though, 979 00:44:59,160 --> 00:45:01,160 Speaker 1: every time I think about joining anything, I'm kind of 980 00:45:01,160 --> 00:45:04,080 Speaker 1: like could end up like Twitter. You know you never could. 981 00:45:04,280 --> 00:45:06,920 Speaker 1: I could go sideways. I was gonna say, you're protected 982 00:45:06,920 --> 00:45:09,880 Speaker 1: by your many many jobs in journalism. One do you 983 00:45:09,920 --> 00:45:13,200 Speaker 1: worry about your blue check mark going away? I plan 984 00:45:13,320 --> 00:45:15,200 Speaker 1: to keep it. The thing for me, like the r 985 00:45:15,239 --> 00:45:17,920 Speaker 1: O I on my use of Twitter is insane. It's like, 986 00:45:18,040 --> 00:45:20,120 Speaker 1: you can't I can't compare myself to any other Twitter 987 00:45:20,200 --> 00:45:22,720 Speaker 1: user because I tweet about the ongoing destruction of Twitter, 988 00:45:22,760 --> 00:45:24,880 Speaker 1: and every day people pay me to read more about it. 989 00:45:24,880 --> 00:45:26,960 Speaker 1: So it's like I will pay eight dollars for a checkmark. 990 00:45:27,000 --> 00:45:29,960 Speaker 1: I'll pay you. You will pay eight dollars to check, 991 00:45:30,560 --> 00:45:32,839 Speaker 1: because the last thing I wanted somebody impersonating me. Josh. 992 00:45:32,880 --> 00:45:35,640 Speaker 1: Imagine an impersonating Casey Newton. Come on it, I mean, 993 00:45:35,719 --> 00:45:37,440 Speaker 1: isn't that isn't, But won't I still be able to 994 00:45:37,480 --> 00:45:39,280 Speaker 1: impersonate you as long as I put like quotes around 995 00:45:39,280 --> 00:45:41,440 Speaker 1: my name, you impersonate me. I will come for you, Josh. 996 00:45:41,520 --> 00:45:43,920 Speaker 1: I would love for you. I should maybe I should 997 00:45:43,920 --> 00:45:47,160 Speaker 1: do that. I shouldn't start in casing an impersonation account. 998 00:45:47,840 --> 00:45:50,000 Speaker 1: I don't know. Listen, Casey, this has been so fun, 999 00:45:50,200 --> 00:45:52,720 Speaker 1: so wonderful. I don't know if we got anywhere, learned anything, 1000 00:45:52,760 --> 00:45:54,799 Speaker 1: but I do feel like we had I hope not. Yeah, 1001 00:45:54,840 --> 00:45:57,279 Speaker 1: I hope we had a blast while doing it. When 1002 00:45:57,320 --> 00:46:00,480 Speaker 1: does Hardfork come out? Hard Fork comes out every Friday morning. 1003 00:46:00,600 --> 00:46:02,440 Speaker 1: You know, it's here's what I say about my job. 1004 00:46:02,480 --> 00:46:04,800 Speaker 1: It's I write newsletters that are like very serious emails 1005 00:46:04,840 --> 00:46:06,440 Speaker 1: you get during the week, and then on Friday you 1006 00:46:06,440 --> 00:46:08,000 Speaker 1: get to have a drink with your friend Kevin and 1007 00:46:08,040 --> 00:46:11,040 Speaker 1: Casey with hard work. So you know you can chase 1008 00:46:11,200 --> 00:46:14,560 Speaker 1: this with hard Fork. I recommend subscribing right after you 1009 00:46:14,600 --> 00:46:17,239 Speaker 1: get done listening to this episode, even during if you 1010 00:46:17,239 --> 00:46:19,880 Speaker 1: can multitask and then you're you're doing your newsletter. How 1011 00:46:19,960 --> 00:46:23,360 Speaker 1: often are you doing that? We do it. It's a Monday, Tuesday, 1012 00:46:23,520 --> 00:46:26,520 Speaker 1: and Thursdays. Okay? And do you have any bombshells coming 1013 00:46:26,560 --> 00:46:29,480 Speaker 1: on Twitter anytime soon? Look look through the last month 1014 00:46:29,520 --> 00:46:31,480 Speaker 1: of stuff, like with Joey Scheper. We have broken more 1015 00:46:31,520 --> 00:46:34,359 Speaker 1: news in the past month that platform has like probably ever. 1016 00:46:34,440 --> 00:46:36,680 Speaker 1: So yeah, there are more more scoops are coming. I 1017 00:46:36,719 --> 00:46:38,440 Speaker 1: love it. I love it, and I love you Casey. 1018 00:46:38,440 --> 00:46:39,880 Speaker 1: You're the best. You're the best of what you do 1019 00:46:39,920 --> 00:46:42,600 Speaker 1: and you're a wonderful human. And thank you for joining 1020 00:46:42,680 --> 00:46:44,879 Speaker 1: us on the podcast. Thanks for having me. Josh is great. 1021 00:46:51,800 --> 00:46:53,640 Speaker 1: There you have it. What more can be said on 1022 00:46:53,680 --> 00:46:56,000 Speaker 1: the topic of Twitter, I mean probably more, and we 1023 00:46:56,000 --> 00:46:59,520 Speaker 1: probably will say more, but I think I feel like 1024 00:46:59,560 --> 00:47:02,880 Speaker 1: we have exhausted all possible angles and I and I 1025 00:47:02,920 --> 00:47:05,120 Speaker 1: feel better for it, honest I feel cleansed in a way. 1026 00:47:05,640 --> 00:47:07,359 Speaker 1: So that is our show for this week. We'll be 1027 00:47:07,400 --> 00:47:09,720 Speaker 1: back next week with more what future And as always, 1028 00:47:09,760 --> 00:47:12,040 Speaker 1: I wish you and your family the very best.