1 00:00:03,960 --> 00:00:06,720 Speaker 1: Well, Elon Musk gives now the richest person on the planet. 2 00:00:07,200 --> 00:00:10,000 Speaker 2: More than half the satellites in space are owned and 3 00:00:10,119 --> 00:00:12,080 Speaker 2: controlled by one man. 4 00:00:12,440 --> 00:00:15,160 Speaker 3: Starting his own artificial intelligence company. 5 00:00:15,400 --> 00:00:18,400 Speaker 1: Well, he's a legitimate super genius. I mean legitimate. 6 00:00:18,560 --> 00:00:18,919 Speaker 2: He says. 7 00:00:18,920 --> 00:00:21,560 Speaker 4: He's always voted for Democrats, but this year it will 8 00:00:21,560 --> 00:00:23,000 Speaker 4: be different. He'll vote Republican. 9 00:00:23,280 --> 00:00:25,760 Speaker 5: There is a reason the US government is so reliant 10 00:00:25,800 --> 00:00:26,160 Speaker 5: on him. 11 00:00:26,360 --> 00:00:29,040 Speaker 1: Alon Musk is a scam artist and he's done nothing. 12 00:00:30,560 --> 00:00:33,320 Speaker 2: Anything he does is fascinating the people. 13 00:00:42,400 --> 00:00:43,440 Speaker 1: Welcome to Elon Inc. 14 00:00:43,720 --> 00:00:47,040 Speaker 3: The show where we analyze the latest from Elon Musk's 15 00:00:47,040 --> 00:00:50,600 Speaker 3: business empire. I'm Max Chafkin, sitting in for our normal host, 16 00:00:50,720 --> 00:00:53,880 Speaker 3: David Popotopolis, who is off for the holidays, probably driving 17 00:00:53,880 --> 00:00:56,080 Speaker 3: his Chevy Colorado around somewhere upstate. 18 00:00:56,480 --> 00:00:58,960 Speaker 1: So in instead we plan something special. 19 00:00:59,160 --> 00:01:01,760 Speaker 3: We're gonna look back at the year in Elon Musk 20 00:01:01,840 --> 00:01:03,720 Speaker 3: and look forward to all that's to come in twenty 21 00:01:03,720 --> 00:01:07,400 Speaker 3: twenty four. We're talking about the biggest stories, the weirdest stories, 22 00:01:07,480 --> 00:01:10,759 Speaker 3: the funniest stories, all of it. And full disclosure, we're 23 00:01:10,800 --> 00:01:14,080 Speaker 3: recording this episode on December thirteenth, so if between now 24 00:01:14,200 --> 00:01:16,240 Speaker 3: and when it airs, you hear of the name of 25 00:01:16,240 --> 00:01:20,399 Speaker 3: Elon Musk's university or some other strange thing happens, you'll 26 00:01:20,400 --> 00:01:23,080 Speaker 3: know why we didn't cover it. Okay, to do this, 27 00:01:23,120 --> 00:01:26,119 Speaker 3: we've got a special guest, PJ Vote. He's a host 28 00:01:26,200 --> 00:01:29,200 Speaker 3: of the search Engine podcast, which answers a burning question 29 00:01:29,280 --> 00:01:32,000 Speaker 3: each week, and earlier this year, search Engine did a 30 00:01:32,000 --> 00:01:35,639 Speaker 3: great episode trying to understand what had happened to Elon Musk. 31 00:01:35,800 --> 00:01:37,399 Speaker 3: You should check it out if you haven't listened to it. 32 00:01:37,440 --> 00:01:39,800 Speaker 3: And we're so happy to have PJ here with us today. PJ, 33 00:01:40,000 --> 00:01:40,920 Speaker 3: Welcome to Elon, Inc. 34 00:01:41,360 --> 00:01:42,160 Speaker 2: Thank you for having me. 35 00:01:42,560 --> 00:01:47,039 Speaker 3: We're also joined by Sarah Fryar, Bloomberg's Big Tech editor. Hey, Sarah, 36 00:01:47,080 --> 00:01:51,040 Speaker 3: always the pleasure, and Rayhan Harmansi, who regular listeners will 37 00:01:51,080 --> 00:01:52,600 Speaker 3: know as an editor on this show. 38 00:01:52,760 --> 00:01:54,120 Speaker 1: Rayhon, thank you for being here. 39 00:01:54,360 --> 00:01:54,680 Speaker 4: Thanks. 40 00:01:55,240 --> 00:01:59,320 Speaker 3: Okay, So this was clearly a huge year for Elon Musk. 41 00:01:59,360 --> 00:02:02,120 Speaker 3: We had some ups and downs for Tesla, many many 42 00:02:02,200 --> 00:02:05,720 Speaker 3: rocket launches, We had brain chips and advertiser boycotts, and 43 00:02:05,960 --> 00:02:08,280 Speaker 3: a very curious obsession with the letter X that I'm 44 00:02:08,280 --> 00:02:11,079 Speaker 3: sure we'll talk about. And so we're here to look 45 00:02:11,120 --> 00:02:13,639 Speaker 3: back on all of that and hopefully take stock of it. 46 00:02:13,800 --> 00:02:16,560 Speaker 3: And I want to start by asking everyone on our 47 00:02:16,600 --> 00:02:19,880 Speaker 3: panel to give me a one word verdict on how 48 00:02:19,919 --> 00:02:23,480 Speaker 3: twenty twenty three was for Elon Musk. Sarah Fryar, give 49 00:02:23,520 --> 00:02:24,680 Speaker 3: me an adjective. 50 00:02:25,040 --> 00:02:29,359 Speaker 6: Oh my goodness, explosive, PJ, hysterical. 51 00:02:30,160 --> 00:02:31,760 Speaker 4: Yeah, I was gonna say unstable. 52 00:02:32,520 --> 00:02:35,639 Speaker 3: Okay, So Magnus, our producer, asked me like a week 53 00:02:35,639 --> 00:02:38,320 Speaker 3: ago what I thought, and without really thinking I said great. 54 00:02:42,200 --> 00:02:43,920 Speaker 3: I'm not sure if that was just like a normal 55 00:02:44,000 --> 00:02:45,639 Speaker 3: like if someone asks you how you're doing, you say great, 56 00:02:45,639 --> 00:02:47,800 Speaker 3: even if you're doing very poorly. But I've been thinking 57 00:02:47,800 --> 00:02:51,000 Speaker 3: about defending that idea, and I think if I were 58 00:02:51,000 --> 00:02:52,480 Speaker 3: going to defend that Elon had a great year, I 59 00:02:52,520 --> 00:02:56,880 Speaker 3: would say number one, Tesla stock doubled, Number two, Elon 60 00:02:57,000 --> 00:02:59,560 Speaker 3: became a lot more famous than he'd been, and number 61 00:02:59,560 --> 00:03:03,760 Speaker 3: three he got the Walter Isaacson Biographer of Genius treatment. 62 00:03:03,919 --> 00:03:05,960 Speaker 3: So by those standards, I think it was a really, 63 00:03:06,000 --> 00:03:08,480 Speaker 3: really good year. But what I want to do today 64 00:03:09,040 --> 00:03:11,639 Speaker 3: is talk about what each of us thought was the biggest, 65 00:03:11,680 --> 00:03:15,360 Speaker 3: the most important story of twenty twenty three in Elon 66 00:03:15,480 --> 00:03:18,000 Speaker 3: Musk's world. And let's start with you, Raehan. What did 67 00:03:18,040 --> 00:03:20,200 Speaker 3: you think was the biggest story of the year for Elon. 68 00:03:21,080 --> 00:03:23,240 Speaker 4: I think the biggest story, and I'm going to be 69 00:03:23,280 --> 00:03:26,440 Speaker 4: borrowing from our colleague Dana Hall, who is not. 70 00:03:26,440 --> 00:03:27,120 Speaker 1: With us today. 71 00:03:27,600 --> 00:03:31,760 Speaker 4: I think it's Tesla's price cuts. I mean, starting in January, 72 00:03:31,840 --> 00:03:34,240 Speaker 4: I think maybe as much as half a dozen times 73 00:03:34,240 --> 00:03:38,120 Speaker 4: this year, Elon cut the price of Tesla. And you know, 74 00:03:38,200 --> 00:03:41,040 Speaker 4: it had some moments where it seemed like the stocks 75 00:03:41,040 --> 00:03:43,520 Speaker 4: were going to be very affected by this, but as 76 00:03:43,560 --> 00:03:47,840 Speaker 4: of now, Tesla's share prices have rebounded and his market 77 00:03:47,840 --> 00:03:49,400 Speaker 4: share is still over sixty percent. 78 00:03:49,760 --> 00:03:50,000 Speaker 1: Yeah. 79 00:03:50,040 --> 00:03:53,400 Speaker 3: Elon talked about these price cuts in detail during an 80 00:03:53,400 --> 00:03:56,480 Speaker 3: earnings call in early January, and let's like just listen 81 00:03:56,520 --> 00:03:58,200 Speaker 3: to a little bit of that tape just to get 82 00:03:58,240 --> 00:03:59,200 Speaker 3: a sense of what was going on. 83 00:03:59,280 --> 00:04:03,280 Speaker 7: Basically, price really matters. I think there's the vast number 84 00:04:03,280 --> 00:04:07,200 Speaker 7: of people that wanted to buy a Tesla car but 85 00:04:07,920 --> 00:04:10,800 Speaker 7: can't afford it, and so these price changes really make 86 00:04:10,840 --> 00:04:14,280 Speaker 7: a difference for the average consumer, and sometimes for those 87 00:04:14,680 --> 00:04:17,000 Speaker 7: people who are well, you know, have a lot of money, 88 00:04:17,040 --> 00:04:19,760 Speaker 7: they sort of forget about how important affordability is. 89 00:04:20,200 --> 00:04:22,640 Speaker 3: Wow, that feels like a long time ago, at least 90 00:04:22,640 --> 00:04:24,600 Speaker 3: to me. You know where the big issue was like 91 00:04:24,640 --> 00:04:27,039 Speaker 3: how many teslas are people going to buy? And we 92 00:04:27,120 --> 00:04:30,960 Speaker 3: hadn't really gotten into all these allegations of bad behavior 93 00:04:31,200 --> 00:04:35,359 Speaker 3: and craziness on social media. But Sarah just catch us 94 00:04:35,400 --> 00:04:37,760 Speaker 3: up a little bit and remind us what was going 95 00:04:37,800 --> 00:04:40,800 Speaker 3: on back then. How did Elon Musk start twenty twenty three. 96 00:04:41,240 --> 00:04:45,800 Speaker 6: I mean, I think that Musk was in this position 97 00:04:45,920 --> 00:04:47,920 Speaker 6: of feeling like he was on top of the world, 98 00:04:48,920 --> 00:04:53,960 Speaker 6: like he's the new king of the playground, or however 99 00:04:54,000 --> 00:04:58,719 Speaker 6: Walter Isaacson calls it in his book Owning X being 100 00:04:59,120 --> 00:05:03,159 Speaker 6: in charge of the discourse as you will, And it's 101 00:05:03,200 --> 00:05:06,040 Speaker 6: all gotten a lot more complicated. 102 00:05:06,000 --> 00:05:07,760 Speaker 1: And it's like super popular too. 103 00:05:07,800 --> 00:05:10,440 Speaker 3: I mean, because there's later in that Earnings call someone 104 00:05:10,560 --> 00:05:13,200 Speaker 3: brought up because even back then, right, Elon Musk has 105 00:05:13,200 --> 00:05:15,599 Speaker 3: got a little crazier in the last couple of months 106 00:05:15,640 --> 00:05:18,040 Speaker 3: in terms of his Twitter presence, But even then was 107 00:05:18,240 --> 00:05:21,679 Speaker 3: he was doing some pretty edgy things and somebody said, hey, Elon, 108 00:05:22,040 --> 00:05:24,600 Speaker 3: don't you think this might be hurting your reputation? 109 00:05:24,839 --> 00:05:27,880 Speaker 1: Of these might hurt demand? And here's what he said. 110 00:05:27,720 --> 00:05:29,560 Speaker 7: Let me check my Twitter account. So I've got one 111 00:05:29,640 --> 00:05:32,960 Speaker 7: hundred and twenty seven million followers, and it continues to 112 00:05:33,040 --> 00:05:38,279 Speaker 7: grow very rapidly. That suggests that I'm reasonably popular, and 113 00:05:38,680 --> 00:05:41,520 Speaker 7: I might not be popular by with some people, but 114 00:05:42,000 --> 00:05:46,200 Speaker 7: for the vast majority of people, the follow account speaks 115 00:05:46,200 --> 00:05:49,440 Speaker 7: for itself on most interactive accounts social social media account 116 00:05:49,520 --> 00:05:51,839 Speaker 7: I think maybe in the world, certainly on Twitter, and 117 00:05:51,880 --> 00:05:55,520 Speaker 7: that's actually predated the Twitter acquisition, So I think Twitter 118 00:05:55,600 --> 00:05:59,679 Speaker 7: is actually incredibly powerful tool for driving demand for Tesla. 119 00:06:00,080 --> 00:06:02,680 Speaker 1: So PJ, that's how popularity works, right. 120 00:06:03,000 --> 00:06:07,360 Speaker 2: Yeah, it's a discrete number. There's no other numbers. It's 121 00:06:07,360 --> 00:06:09,559 Speaker 2: not how people feel about you. It's just that many 122 00:06:09,640 --> 00:06:12,640 Speaker 2: people are theoretically paying attention to you on the social 123 00:06:12,680 --> 00:06:15,080 Speaker 2: media website which you have purchased and driven into the ground. 124 00:06:15,480 --> 00:06:19,880 Speaker 2: I find his worldview it's weird. He's forced himself into 125 00:06:19,880 --> 00:06:23,720 Speaker 2: our imaginations and into our conversations in such a The 126 00:06:23,760 --> 00:06:26,559 Speaker 2: only sort of public figure who has done this before 127 00:06:26,600 --> 00:06:30,760 Speaker 2: is Trump, where every conversation sort of pulls towards him, 128 00:06:30,760 --> 00:06:33,320 Speaker 2: whether you want it to or not. I still find 129 00:06:33,440 --> 00:06:36,359 Speaker 2: him psychologically very interesting, and this is one of the 130 00:06:36,360 --> 00:06:40,480 Speaker 2: facets where he really both doesn't seem to distinguish often 131 00:06:40,560 --> 00:06:44,080 Speaker 2: between good attention and bad attention, and Also he's someone 132 00:06:44,120 --> 00:06:47,880 Speaker 2: who you know, we all are aware that social media 133 00:06:47,920 --> 00:06:49,480 Speaker 2: pulls on our minds in ways that we might not 134 00:06:49,760 --> 00:06:54,240 Speaker 2: always particularly like this is the most extreme case of it. 135 00:06:54,360 --> 00:06:56,760 Speaker 2: And the person who is most badly affected by the product, 136 00:06:57,160 --> 00:07:00,839 Speaker 2: or most publicly badly affected by the product, decided he 137 00:07:00,920 --> 00:07:03,960 Speaker 2: wants to down and run the product is such a 138 00:07:04,000 --> 00:07:04,560 Speaker 2: crazy thing. 139 00:07:04,680 --> 00:07:08,640 Speaker 6: This is really just an engineer mindset. It's the number 140 00:07:08,680 --> 00:07:10,560 Speaker 6: went up. Yes, how could I be failing? 141 00:07:10,800 --> 00:07:11,040 Speaker 1: Yeah? 142 00:07:11,080 --> 00:07:13,400 Speaker 6: You know, one hundred and sixty six million is what 143 00:07:13,440 --> 00:07:17,000 Speaker 6: it's at now, based on that Elon Musk has had, 144 00:07:17,080 --> 00:07:19,760 Speaker 6: as Max puts it, a great year. 145 00:07:20,320 --> 00:07:22,200 Speaker 3: I can't believe we're now we're settling on this. I 146 00:07:22,200 --> 00:07:24,520 Speaker 3: thought I might take it be controversial. The thing for 147 00:07:24,600 --> 00:07:27,160 Speaker 3: me in this is the tone, right, it's like the weird, 148 00:07:27,840 --> 00:07:30,240 Speaker 3: especially comparing those two clips, like the first one where 149 00:07:30,280 --> 00:07:32,440 Speaker 3: it's like very the affect is like very sort of 150 00:07:32,520 --> 00:07:34,640 Speaker 3: laid back. He can barely get a word out, and 151 00:07:34,680 --> 00:07:38,360 Speaker 3: this is this like extremely like swaggering. 152 00:07:38,560 --> 00:07:39,920 Speaker 1: Let me check my Twitter account. 153 00:07:40,000 --> 00:07:44,320 Speaker 3: It's so like you said, PJ, just like psychologically kind 154 00:07:44,320 --> 00:07:46,600 Speaker 3: of wild. And also he's up to like one hundred 155 00:07:46,640 --> 00:07:50,040 Speaker 3: and sixty six million since then, It keeps going up. 156 00:07:50,640 --> 00:07:53,680 Speaker 4: I mean, the number does keep going up. But it's 157 00:07:53,720 --> 00:07:56,440 Speaker 4: interesting though, because, like you know, I mean, Max, you 158 00:07:56,480 --> 00:07:58,720 Speaker 4: wrote about this, a lot of people were thinking that 159 00:07:59,360 --> 00:08:04,800 Speaker 4: because of increasingly strange public postings, Tesla would take a hit. 160 00:08:04,880 --> 00:08:08,080 Speaker 4: He was too distracted. But their strategy of cutting price, 161 00:08:08,120 --> 00:08:10,240 Speaker 4: I mean, it cut into their profit margins, but it 162 00:08:10,320 --> 00:08:13,320 Speaker 4: seems to be working. And so you're left with this 163 00:08:13,360 --> 00:08:17,920 Speaker 4: feeling of like Elon's publicly doing one thing on one hand, 164 00:08:17,960 --> 00:08:22,600 Speaker 4: and then on another hand, it's not a total failure, 165 00:08:22,600 --> 00:08:25,120 Speaker 4: and I think that's what is confusing. Over and over 166 00:08:25,160 --> 00:08:25,760 Speaker 4: and over again. 167 00:08:26,000 --> 00:08:28,800 Speaker 6: Well, people thought that X would die or Twitter would 168 00:08:28,840 --> 00:08:31,200 Speaker 6: die in his hands, and in some ways it has. 169 00:08:31,640 --> 00:08:34,679 Speaker 6: It's just not the same platform people were used to, 170 00:08:34,760 --> 00:08:36,679 Speaker 6: but people are still going there if they're still talking 171 00:08:36,760 --> 00:08:42,400 Speaker 6: about the happenings of the day, and it's definitely a 172 00:08:42,440 --> 00:08:46,440 Speaker 6: bit more depressing, but it's not making as much money. 173 00:08:47,200 --> 00:08:50,400 Speaker 1: He was like, not the most full throated. 174 00:08:53,120 --> 00:08:57,720 Speaker 6: I'm just saying it didn't die. I'm consistently surprised that 175 00:08:58,120 --> 00:09:03,040 Speaker 6: it is hung on and continued to stay marginally relevant. 176 00:09:03,360 --> 00:09:07,240 Speaker 6: Maybe we'll see it's death in twenty twenty four. It 177 00:09:07,280 --> 00:09:11,480 Speaker 6: is surprising how after the Twitter acquisition, all these insiders 178 00:09:11,480 --> 00:09:15,800 Speaker 6: were telling me, telling our colleagues Kurt and Ed, like, 179 00:09:16,280 --> 00:09:18,920 Speaker 6: this is gonna all break, Like you can't just lay 180 00:09:18,960 --> 00:09:22,200 Speaker 6: off or accept the resignation of seventy five percent of 181 00:09:22,240 --> 00:09:26,600 Speaker 6: the staff and expect Twitter to still operate. It's held 182 00:09:26,640 --> 00:09:28,839 Speaker 6: together with duct tape and it's going to die. And 183 00:09:29,000 --> 00:09:30,200 Speaker 6: it hasn't died. 184 00:09:30,760 --> 00:09:33,480 Speaker 1: So, PJ, you're a user, right, I assume. 185 00:09:33,800 --> 00:09:37,439 Speaker 2: I actually retired from Twitter about a month ago. 186 00:09:37,679 --> 00:09:39,640 Speaker 1: Okay, So, but I was. 187 00:09:39,600 --> 00:09:43,240 Speaker 2: A very very very very very very enthusiastic user up 188 00:09:43,320 --> 00:09:46,280 Speaker 2: until that point. And really my feeling was there have 189 00:09:46,400 --> 00:09:48,520 Speaker 2: probably been things I didn't love about the site that 190 00:09:48,559 --> 00:09:51,280 Speaker 2: I noticed less pre Elon, and that he just sort 191 00:09:51,280 --> 00:09:54,080 Speaker 2: of like turned all the knobs all the way to 192 00:09:54,120 --> 00:09:56,520 Speaker 2: the right, Like you know, it's like a social media 193 00:09:56,520 --> 00:09:58,559 Speaker 2: website that's built for conflict. It's built for like the 194 00:09:58,600 --> 00:10:03,000 Speaker 2: collapse of context. You notice that less when it's not 195 00:10:03,080 --> 00:10:05,240 Speaker 2: being set to fight mode, but desires. It's interesting, Like 196 00:10:05,679 --> 00:10:08,199 Speaker 2: I do think one of the things that's confounding about 197 00:10:08,200 --> 00:10:11,000 Speaker 2: Elon is that you kind of never know. And I 198 00:10:11,000 --> 00:10:12,640 Speaker 2: feel like this happened a few times this year where 199 00:10:13,000 --> 00:10:16,160 Speaker 2: he will do something that is counter to the conventional 200 00:10:16,160 --> 00:10:18,280 Speaker 2: wisdom of how a CEO should behave, how a human 201 00:10:18,320 --> 00:10:21,240 Speaker 2: being should behave, how an Internet user should behave, And 202 00:10:21,280 --> 00:10:23,760 Speaker 2: maybe eight times out of ten you could say, I 203 00:10:23,800 --> 00:10:25,120 Speaker 2: know how this is gonna go. 204 00:10:25,440 --> 00:10:26,800 Speaker 1: This is terrible, this is obvious. 205 00:10:26,920 --> 00:10:29,000 Speaker 2: I not at all. A billionaire could tell you not 206 00:10:29,040 --> 00:10:30,640 Speaker 2: to do that, and eight times out of ten you'll 207 00:10:30,679 --> 00:10:32,600 Speaker 2: be right, and then two times out of ten you'll 208 00:10:32,640 --> 00:10:34,280 Speaker 2: be wrong, And it's very confusing. 209 00:10:34,480 --> 00:10:35,040 Speaker 1: One of the things. 210 00:10:35,040 --> 00:10:37,960 Speaker 2: I'm not a software engineer, but I remember people saying, 211 00:10:38,280 --> 00:10:41,440 Speaker 2: if you destroy the headcount of this company, the service 212 00:10:41,480 --> 00:10:46,319 Speaker 2: itself will break. The service shook. It was rickety. 213 00:10:46,440 --> 00:10:47,280 Speaker 1: If you'd made me. 214 00:10:47,280 --> 00:10:50,319 Speaker 2: Make a money bet when you cut that many engineers, 215 00:10:50,400 --> 00:10:54,200 Speaker 2: will the website even load? I wouldn't think the actual like, 216 00:10:54,240 --> 00:10:56,960 Speaker 2: let alone the user experience. The fact that the website 217 00:10:57,000 --> 00:10:59,640 Speaker 2: is running at all right now is not what I 218 00:10:59,679 --> 00:11:01,680 Speaker 2: predict and I was relatively certain. 219 00:11:02,000 --> 00:11:03,280 Speaker 1: So why did it survive though? 220 00:11:03,280 --> 00:11:06,199 Speaker 3: Is it just because we just don't we overestimate the 221 00:11:06,800 --> 00:11:08,720 Speaker 3: like how many software engineers are required. 222 00:11:08,840 --> 00:11:12,280 Speaker 6: It was definitely an overstaffed company. I think it was 223 00:11:12,320 --> 00:11:15,440 Speaker 6: a place where a lot of things didn't happen because 224 00:11:15,480 --> 00:11:18,920 Speaker 6: people were indecisive about how to make them happen. That 225 00:11:19,080 --> 00:11:22,600 Speaker 6: was partially Jack Dorsey's leadership. The culture that he instilled 226 00:11:22,679 --> 00:11:27,440 Speaker 6: was a more philosophical leadership, and they just weren't that efficient. 227 00:11:27,520 --> 00:11:30,160 Speaker 6: At Twitter. It was more about like, how do we 228 00:11:31,040 --> 00:11:35,320 Speaker 6: remain good stewards of this site that is so powerful 229 00:11:35,440 --> 00:11:37,640 Speaker 6: that we don't even know what to do with it? 230 00:11:38,000 --> 00:11:39,160 Speaker 6: And now it's different. 231 00:11:43,440 --> 00:11:47,480 Speaker 3: So clearly, Sarah, for you, I'm guessing Twitter X this 232 00:11:47,559 --> 00:11:49,360 Speaker 3: is maybe the story of the year. I want to 233 00:11:49,440 --> 00:11:51,560 Speaker 3: drill down on that a little bit and talk about 234 00:11:51,559 --> 00:11:54,840 Speaker 3: one of my favorite characters of the year, Linda Yakarino. 235 00:11:55,040 --> 00:11:57,200 Speaker 3: First all, let's listen to at a little Linda. I 236 00:11:57,200 --> 00:11:59,760 Speaker 3: feel like she's been one of one of the kind 237 00:11:59,800 --> 00:12:01,079 Speaker 3: of the bright spots. 238 00:12:00,679 --> 00:12:01,600 Speaker 1: In the year of Elon. 239 00:12:01,760 --> 00:12:02,679 Speaker 6: It's a comic relief. 240 00:12:02,920 --> 00:12:04,960 Speaker 1: Well that's one way of looking at it. 241 00:12:05,280 --> 00:12:07,559 Speaker 3: I think another way, and maybe the way I was 242 00:12:07,559 --> 00:12:09,200 Speaker 3: thinking about when I was getting ready for this show 243 00:12:09,320 --> 00:12:13,000 Speaker 3: was Linda as Elon's most important defender, which I think 244 00:12:13,040 --> 00:12:14,920 Speaker 3: really comes out in the clip we're about to listen to, 245 00:12:15,400 --> 00:12:17,800 Speaker 3: which was from the Code conference in September. 246 00:12:18,080 --> 00:12:19,160 Speaker 1: And who's kidding who? 247 00:12:19,679 --> 00:12:22,040 Speaker 7: I don't care what the structure is at Meta, But 248 00:12:22,120 --> 00:12:27,160 Speaker 7: who wouldn't want Elon Musk sitting by their side running product? 249 00:12:28,120 --> 00:12:29,080 Speaker 1: Rayhon's making a face. 250 00:12:29,720 --> 00:12:32,800 Speaker 4: I guess if you want a job, you probably don't 251 00:12:32,800 --> 00:12:35,680 Speaker 4: want Elon bust sitting by your side running product. I 252 00:12:35,679 --> 00:12:39,480 Speaker 4: mean Linda has emerged though in a really Trump like way, 253 00:12:39,600 --> 00:12:41,679 Speaker 4: like I think I was talking to Maxwell this before, 254 00:12:41,720 --> 00:12:46,559 Speaker 4: like the way that like when sort of respected figures 255 00:12:46,559 --> 00:12:49,880 Speaker 4: have entered Trump's orbit or his cabinet, there's a moment 256 00:12:49,880 --> 00:12:53,400 Speaker 4: where you're like, are they going to you know, stand 257 00:12:53,520 --> 00:12:55,520 Speaker 4: up to him? And then you very quickly realized like, 258 00:12:55,520 --> 00:12:58,719 Speaker 4: oh no, no, no, no, you didn't go here to stand up 259 00:12:58,720 --> 00:13:02,360 Speaker 4: to him. You came here to be a supplicant. And 260 00:13:02,400 --> 00:13:05,240 Speaker 4: then there's often a break after that. And I think 261 00:13:05,240 --> 00:13:08,400 Speaker 4: we just don't really know what Linda's breaking point is. 262 00:13:08,920 --> 00:13:10,640 Speaker 3: Well, I think we assumed right that it was going 263 00:13:10,679 --> 00:13:12,360 Speaker 3: to be like a mooch kind of situation. 264 00:13:12,440 --> 00:13:15,000 Speaker 4: I mean, yeah, like forty days. 265 00:13:15,040 --> 00:13:16,840 Speaker 1: I don't know, right, Sarah, I mean, did you think 266 00:13:16,840 --> 00:13:17,560 Speaker 1: she'd make it this for? 267 00:13:17,960 --> 00:13:20,600 Speaker 6: I think I said six weeks when we were talking 268 00:13:20,600 --> 00:13:23,920 Speaker 6: about it when she joined, and really, you know, that 269 00:13:24,320 --> 00:13:27,520 Speaker 6: wasn't any indication of how I thought about her character 270 00:13:27,840 --> 00:13:31,120 Speaker 6: or her skills or anything. It was literally just looking 271 00:13:31,200 --> 00:13:36,920 Speaker 6: at at the history of Musk and top executives at Twitter, 272 00:13:36,960 --> 00:13:39,000 Speaker 6: where some of them seem to last like a matter 273 00:13:39,040 --> 00:13:42,319 Speaker 6: of days, a matter of hours. It was really quite 274 00:13:42,320 --> 00:13:47,079 Speaker 6: a tumultuous time. And she has also exceeded my expectations 275 00:13:47,400 --> 00:13:50,200 Speaker 6: in standing by him. And the comic relief part is 276 00:13:50,280 --> 00:13:53,960 Speaker 6: just honestly, her Twitter feed, it is the most basic 277 00:13:54,240 --> 00:13:57,720 Speaker 6: and almost like has this like sense of obliviousness over 278 00:13:57,800 --> 00:14:02,920 Speaker 6: her owner's actions. She talks about you know, yay football 279 00:14:03,360 --> 00:14:08,440 Speaker 6: and Jay Pumpkins, spice lattes, and just everything that is 280 00:14:08,920 --> 00:14:15,480 Speaker 6: generically acceptable to say, she says it, and with emoji fanfair. 281 00:14:16,040 --> 00:14:20,080 Speaker 2: She's tweeting from an alternate reality, which Twitter is a 282 00:14:20,360 --> 00:14:24,200 Speaker 2: normal social media company that posts like Ana Dyne sort 283 00:14:24,200 --> 00:14:28,480 Speaker 2: of ten people in a copywriting room wrote something they 284 00:14:28,480 --> 00:14:32,560 Speaker 2: thought would appeal to a very bland, millennial copy like like, 285 00:14:32,600 --> 00:14:35,800 Speaker 2: there's some alternate reality where Twitter is even more normal 286 00:14:35,840 --> 00:14:38,400 Speaker 2: than it was pre acquisition, and she's in that reality. 287 00:14:38,600 --> 00:14:41,400 Speaker 2: She just happens to also be in our reality where 288 00:14:41,440 --> 00:14:43,840 Speaker 2: Twitter's becoming whatever Twitter's becoming. 289 00:14:44,040 --> 00:14:48,000 Speaker 4: It's like it's like six red high heeled emojis like 290 00:14:48,160 --> 00:14:51,600 Speaker 4: fashion week, and then a new kind of Twitter ad 291 00:14:51,640 --> 00:14:54,520 Speaker 4: which really is giving like Spencer's gifts kind of like 292 00:14:54,560 --> 00:14:54,920 Speaker 4: it's like. 293 00:14:55,080 --> 00:14:55,800 Speaker 1: You didn't see the one. 294 00:14:55,880 --> 00:14:58,080 Speaker 2: I don't even know if something that's okay to talk about. 295 00:14:58,560 --> 00:15:02,040 Speaker 1: There was one. It's probably not okay. Yeah, okay, let 296 00:15:02,080 --> 00:15:02,840 Speaker 1: me see if I could. 297 00:15:02,640 --> 00:15:07,040 Speaker 2: Do this, like in a family friendly there is a 298 00:15:07,080 --> 00:15:09,560 Speaker 2: Twitter ad. No machine could have predicted that this is 299 00:15:09,560 --> 00:15:12,520 Speaker 2: where this ends, which is like not that I'm on Twitter, 300 00:15:12,520 --> 00:15:14,120 Speaker 2: but let's say that I jump back on every once 301 00:15:14,120 --> 00:15:16,080 Speaker 2: in a while and you just listen and don't talk. 302 00:15:16,280 --> 00:15:18,320 Speaker 2: It was seeing this ad for a device that you 303 00:15:18,320 --> 00:15:22,000 Speaker 2: could use after your sexual partner and fall asleep to 304 00:15:22,200 --> 00:15:27,520 Speaker 2: extract semen from their contracept device in the trash and 305 00:15:27,560 --> 00:15:30,360 Speaker 2: impregnate yourself. This was what the ad was saying the 306 00:15:30,400 --> 00:15:34,400 Speaker 2: device was for. If I had more time and more lives, 307 00:15:34,400 --> 00:15:36,040 Speaker 2: I would find out what is actually going on with 308 00:15:36,080 --> 00:15:38,720 Speaker 2: that company, because I don't think that that's a business model, 309 00:15:38,800 --> 00:15:42,240 Speaker 2: like non consensual pregnancy is not really a business model. 310 00:15:42,280 --> 00:15:43,920 Speaker 2: Like they are doing a good job of jitting up 311 00:15:43,920 --> 00:15:47,320 Speaker 2: attention for what reason I don't know, but those are 312 00:15:47,360 --> 00:15:50,640 Speaker 2: the advertisers they're working for or that they're working with. 313 00:15:50,960 --> 00:15:53,400 Speaker 2: And meanwhile in it's like. 314 00:15:54,680 --> 00:15:58,560 Speaker 8: It's all that's what our tweets are like next to 315 00:15:58,960 --> 00:16:01,600 Speaker 8: and it's I mean that, and of course lots and 316 00:16:01,640 --> 00:16:03,840 Speaker 8: lots and lots of other things, but I have to say, 317 00:16:03,880 --> 00:16:05,960 Speaker 8: and I don't want to be a bummer at all, 318 00:16:05,960 --> 00:16:06,320 Speaker 8: but like. 319 00:16:06,360 --> 00:16:10,040 Speaker 4: I feel like my enjoyment of Linda's tweets took a 320 00:16:10,080 --> 00:16:15,920 Speaker 4: real dive when Elon went further into like anti Semitic amplification. 321 00:16:16,280 --> 00:16:17,240 Speaker 1: Yeah, and it. 322 00:16:17,280 --> 00:16:20,040 Speaker 4: Really was made me mad because I had been had 323 00:16:20,040 --> 00:16:23,080 Speaker 4: been such a consistent source of joy to see the 324 00:16:23,200 --> 00:16:27,040 Speaker 4: like twenty football emojis, you know, like next to the 325 00:16:27,840 --> 00:16:31,320 Speaker 4: semen ad. I don't know, but I mean it does 326 00:16:31,360 --> 00:16:33,520 Speaker 4: seem like at this point like she is in it 327 00:16:33,560 --> 00:16:34,000 Speaker 4: to win it. 328 00:16:34,760 --> 00:16:37,320 Speaker 6: She did, by the way, tweets saying that she wishes 329 00:16:37,480 --> 00:16:40,320 Speaker 6: that groc the Ai chat bought was around to explain 330 00:16:40,400 --> 00:16:43,800 Speaker 6: the birds and bees to her kids. She said that, yeah, 331 00:16:43,800 --> 00:16:47,360 Speaker 6: that is one of her top cringe tweets. That is 332 00:16:47,440 --> 00:16:52,640 Speaker 6: just so indicative of her company cheerleading combined with let's 333 00:16:52,640 --> 00:16:53,520 Speaker 6: call it optimism. 334 00:16:54,200 --> 00:16:57,200 Speaker 3: All right, PJ, your biggest story of the year, my 335 00:16:57,320 --> 00:17:00,200 Speaker 3: biggest So the editor of your show was like, hey, 336 00:17:00,200 --> 00:17:01,680 Speaker 3: you're gonna have to come up with the biggest story. 337 00:17:01,920 --> 00:17:04,800 Speaker 2: Please don't pick something recent. And I was trying to 338 00:17:04,840 --> 00:17:07,800 Speaker 2: challenge myself to not pick something social media based, because 339 00:17:07,800 --> 00:17:09,639 Speaker 2: I feel like sometimes with Elon, social media as a 340 00:17:09,640 --> 00:17:12,960 Speaker 2: distraction relative to not that it's. 341 00:17:12,840 --> 00:17:14,480 Speaker 1: Not a big deal, but a lot of other things happened. 342 00:17:14,680 --> 00:17:16,959 Speaker 2: So he sad in thought, and I was like, I 343 00:17:17,000 --> 00:17:20,000 Speaker 2: think it's both recent and social media based. 344 00:17:20,600 --> 00:17:22,600 Speaker 1: I feel like inviting. 345 00:17:22,200 --> 00:17:25,960 Speaker 2: Alex Jones back on Twitter was when all the Elon 346 00:17:26,000 --> 00:17:27,520 Speaker 2: news from this year burns off of my memory to 347 00:17:27,600 --> 00:17:30,280 Speaker 2: replace be replaced by thirty other things he does in December. 348 00:17:30,480 --> 00:17:32,879 Speaker 1: I think I'm gonna remember that, Sarah, what do you think. 349 00:17:33,119 --> 00:17:36,520 Speaker 6: I would forget that? I mean, I feel like it's harsh. Well, 350 00:17:36,600 --> 00:17:39,480 Speaker 6: I just think it's probably the most predictable thing he's 351 00:17:39,480 --> 00:17:42,920 Speaker 6: done this year, because he every once in a while 352 00:17:42,960 --> 00:17:45,920 Speaker 6: he needs to inject a dose of hey everyone, please 353 00:17:45,960 --> 00:17:49,280 Speaker 6: remember that I am mister free speech. And he brings 354 00:17:49,359 --> 00:17:52,160 Speaker 6: back all of the people that were banned before. And 355 00:17:52,560 --> 00:17:55,280 Speaker 6: there's got to be a list of the top names 356 00:17:55,400 --> 00:17:57,600 Speaker 6: that have ever been banned from social media, and he's 357 00:17:57,640 --> 00:17:59,960 Speaker 6: just gonna check off all those boxes based on who 358 00:18:00,080 --> 00:18:03,480 Speaker 6: tells him to act. I was very unsurprised, and you know, 359 00:18:04,000 --> 00:18:08,720 Speaker 6: it was as disappointing as you would as you would 360 00:18:08,760 --> 00:18:09,439 Speaker 6: expect it to be. 361 00:18:09,560 --> 00:18:11,680 Speaker 3: All Right, Well, I think Pj's kind of onto something 362 00:18:11,720 --> 00:18:14,360 Speaker 3: because it was last year when Elon Musk was sort 363 00:18:14,400 --> 00:18:18,680 Speaker 3: of hanging out with Kanye West and seeming to kind 364 00:18:18,680 --> 00:18:23,280 Speaker 3: of accommodate Kanye's over anti semitism, and he got into 365 00:18:23,320 --> 00:18:25,639 Speaker 3: exchange with Alex Jones where he said, I'm not going 366 00:18:25,720 --> 00:18:28,320 Speaker 3: to let Alex Jones back because of what he did 367 00:18:28,600 --> 00:18:29,320 Speaker 3: to those parents. 368 00:18:29,400 --> 00:18:30,560 Speaker 1: You know, I lost a child. 369 00:18:30,680 --> 00:18:34,280 Speaker 3: Elon Musk lost a child, a young kid, and he empathized, 370 00:18:34,280 --> 00:18:36,960 Speaker 3: and I think that was a moment where he really 371 00:18:37,040 --> 00:18:39,359 Speaker 3: seemed human, and it seemed like a human reaction. It 372 00:18:39,400 --> 00:18:43,040 Speaker 3: seemed almost not exactly a bright spot for Elon Musk's 373 00:18:43,359 --> 00:18:46,160 Speaker 3: relationship with X, but at least a human one. 374 00:18:46,520 --> 00:18:46,720 Speaker 1: Yeah. 375 00:18:46,720 --> 00:18:48,760 Speaker 2: And to Sera's point, it wasn't as if I was like, 376 00:18:49,520 --> 00:18:51,560 Speaker 2: oh my god, Eli, like this is so out of 377 00:18:51,560 --> 00:18:53,119 Speaker 2: step with where you've been going. I think it was 378 00:18:53,119 --> 00:18:56,320 Speaker 2: a combination of that. It had been a line that 379 00:18:56,359 --> 00:19:00,000 Speaker 2: he'd drawn that hadn't seemed about pleasing whatever strange audience, 380 00:19:00,000 --> 00:19:03,000 Speaker 2: and he's trying to please at any given moment, and 381 00:19:03,040 --> 00:19:05,280 Speaker 2: also that when he said he would never let Jones 382 00:19:05,320 --> 00:19:07,320 Speaker 2: back on the platform, the other thing he said was 383 00:19:07,560 --> 00:19:10,359 Speaker 2: that he had had a child who died, and that 384 00:19:10,400 --> 00:19:14,119 Speaker 2: he related to the idea that victimizing parents who had 385 00:19:14,119 --> 00:19:16,919 Speaker 2: lost children was just like even in his sort of 386 00:19:17,720 --> 00:19:20,320 Speaker 2: very selective understanding of the free speech he wants to 387 00:19:20,320 --> 00:19:25,479 Speaker 2: defend and very enthusiastic love of provocation, that there were 388 00:19:25,480 --> 00:19:28,520 Speaker 2: places he wouldn't go, the idea that eventually, of course, 389 00:19:28,520 --> 00:19:29,280 Speaker 2: he goes to those places. 390 00:19:29,400 --> 00:19:30,000 Speaker 1: I guess you're right. 391 00:19:30,040 --> 00:19:33,240 Speaker 2: It does feel. It just felt like, okay, this is 392 00:19:33,320 --> 00:19:36,879 Speaker 2: really you can fully call it at this point, like 393 00:19:36,920 --> 00:19:39,400 Speaker 2: we know what website, this is always going to be, 394 00:19:39,840 --> 00:19:41,800 Speaker 2: we know who is going to be here, we know 395 00:19:41,880 --> 00:19:43,560 Speaker 2: what kind of conversations are going to happen, and also 396 00:19:43,680 --> 00:19:47,720 Speaker 2: like whatever the next stage is the problem with being 397 00:19:47,840 --> 00:19:51,359 Speaker 2: edgy all the time is you have to go further, 398 00:19:51,640 --> 00:19:54,560 Speaker 2: Like you can't just flirt with anti semitism. People get 399 00:19:54,640 --> 00:19:55,879 Speaker 2: used to it, So then you have to be baldly 400 00:19:55,880 --> 00:19:59,000 Speaker 2: anti semitic and like in the urge to just like 401 00:19:59,119 --> 00:20:01,760 Speaker 2: always keep pushing, you end up in some very dark 402 00:20:01,800 --> 00:20:05,000 Speaker 2: places very quickly. And I think that's what sucks about 403 00:20:05,440 --> 00:20:07,639 Speaker 2: Elon and what's so complicated about Elon is both that 404 00:20:08,160 --> 00:20:11,600 Speaker 2: in some ways he's a person who's invented really important 405 00:20:11,640 --> 00:20:15,080 Speaker 2: and socially powerful things. He's also a person with some 406 00:20:15,119 --> 00:20:19,080 Speaker 2: of the worst opinions of anyone who thinks publicly at all. 407 00:20:19,640 --> 00:20:22,919 Speaker 2: And he's someone who, like you're watching, I don't know, 408 00:20:22,960 --> 00:20:25,439 Speaker 2: there's this argument about whether he's getting worse or just 409 00:20:25,480 --> 00:20:29,679 Speaker 2: revealing himself or whatever, But you're watching something seem to 410 00:20:29,840 --> 00:20:33,680 Speaker 2: happen in public in a way that's just like everyone's 411 00:20:33,720 --> 00:20:36,119 Speaker 2: had it with like some random uncle or something. 412 00:20:36,320 --> 00:20:37,440 Speaker 1: Yeah, but you're watching it. 413 00:20:37,400 --> 00:20:40,480 Speaker 2: With someone with tremendous power and who's it is being 414 00:20:40,520 --> 00:20:42,639 Speaker 2: fed directly into this machine that we're all seck And 415 00:20:42,720 --> 00:20:45,000 Speaker 2: it's such a strange modern nightmare. 416 00:20:45,640 --> 00:20:48,840 Speaker 4: I wonder you guys think, is he trying to drive 417 00:20:48,880 --> 00:20:54,320 Speaker 4: people off of X? Is there anything vaguely strategic about this? 418 00:20:54,920 --> 00:20:57,040 Speaker 4: Like it seems like it doesn't benefit him, But on 419 00:20:57,119 --> 00:20:59,239 Speaker 4: the other hand, he's worked hard to make sure like 420 00:20:59,359 --> 00:21:02,400 Speaker 4: journalists want like he wants a certain kind of person there. 421 00:21:02,480 --> 00:21:04,680 Speaker 6: I think it's strategic in the sense that the folks 422 00:21:04,720 --> 00:21:07,320 Speaker 6: who are cheering him on are cheering him on quite loudly, 423 00:21:07,440 --> 00:21:12,879 Speaker 6: and when you are somebody who provides a home for 424 00:21:12,960 --> 00:21:16,840 Speaker 6: the extreme and they give you that sort of feedback. 425 00:21:17,320 --> 00:21:20,680 Speaker 6: I mean looking at how he framed bringing Alex Jones 426 00:21:20,720 --> 00:21:22,840 Speaker 6: back on the platform as the voice of the people, 427 00:21:22,920 --> 00:21:25,879 Speaker 6: like the people who follow me voted for this. He 428 00:21:26,359 --> 00:21:29,199 Speaker 6: wants to be a people pleaser. He thinks about his 429 00:21:29,280 --> 00:21:34,520 Speaker 6: Twitter following in terms of his popularity in his constituency. Really, 430 00:21:35,040 --> 00:21:39,160 Speaker 6: and I think that that is a potentially damaging echo 431 00:21:39,240 --> 00:21:41,200 Speaker 6: chamber when you start to believe that the Internet is 432 00:21:41,240 --> 00:21:44,679 Speaker 6: real life. We've seen that happen to regular people, and 433 00:21:44,720 --> 00:21:47,040 Speaker 6: now we're seeing it happen to the richest man of 434 00:21:47,080 --> 00:21:47,439 Speaker 6: the world. 435 00:21:52,280 --> 00:21:55,000 Speaker 3: Okay, we're going to try something new. It's a segment 436 00:21:55,080 --> 00:21:58,080 Speaker 3: we're calling what is Elon Musk talking about? And it's 437 00:21:58,080 --> 00:22:00,240 Speaker 3: going to work like a contest. I am going to 438 00:22:00,280 --> 00:22:03,600 Speaker 3: play a clip of Elon must saying something, and the 439 00:22:03,600 --> 00:22:06,119 Speaker 3: three of you are gonna have to guess what is 440 00:22:06,160 --> 00:22:09,000 Speaker 3: the subject of these comments, and if you get it right, 441 00:22:09,119 --> 00:22:11,199 Speaker 3: I will award you one point for doing so. 442 00:22:11,720 --> 00:22:12,960 Speaker 1: All right, let's hear the first clip. 443 00:22:13,280 --> 00:22:15,680 Speaker 4: You wouldn't find the actual cyber truk, so if they 444 00:22:15,680 --> 00:22:18,919 Speaker 4: did have a spaceship and it came here thirty thousand 445 00:22:18,960 --> 00:22:19,400 Speaker 4: years ago. 446 00:22:20,000 --> 00:22:22,560 Speaker 9: Oh yeah, yeah, we'd would definitely find it evidence of it. 447 00:22:23,200 --> 00:22:25,600 Speaker 9: Well not, I mean, if it's one spaceship, maybe not. 448 00:22:25,840 --> 00:22:27,560 Speaker 9: But if it was a lot of them, sure. 449 00:22:27,520 --> 00:22:29,720 Speaker 1: That is the origin myth of the Dogon tribe. 450 00:22:29,760 --> 00:22:33,439 Speaker 3: Right, all right, Rayhon, there's a theory that Elon is 451 00:22:33,480 --> 00:22:35,240 Speaker 3: responding to, and I would like you to guess what 452 00:22:35,280 --> 00:22:35,919 Speaker 3: that theory is. 453 00:22:39,320 --> 00:22:42,320 Speaker 4: I have to confess I'm not up on my like 454 00:22:42,760 --> 00:22:47,040 Speaker 4: alien you know, kind of like archaeology or something like. 455 00:22:48,119 --> 00:22:50,679 Speaker 4: I mean, I do appreciate the idea that if it 456 00:22:50,720 --> 00:22:52,879 Speaker 4: was one, it would be hard to find, but if 457 00:22:52,880 --> 00:22:56,280 Speaker 4: it's many, certainly we would certainly we would have evidence 458 00:22:56,320 --> 00:22:59,359 Speaker 4: of it. You know, I can't I don't think I 459 00:22:59,359 --> 00:23:01,080 Speaker 4: can get a point here, Sarah. 460 00:23:01,080 --> 00:23:03,760 Speaker 6: What do you think is your responding to the theory 461 00:23:03,800 --> 00:23:06,960 Speaker 6: that we are actually from a different planet? 462 00:23:07,680 --> 00:23:11,480 Speaker 1: Yeh wait, so we're aliens. 463 00:23:12,280 --> 00:23:14,760 Speaker 3: I think the idea is that there was I'm not 464 00:23:14,920 --> 00:23:16,960 Speaker 3: actually you know what, I'm gonna confess that I don't 465 00:23:17,000 --> 00:23:20,160 Speaker 3: know the entire specifics of the theory, but the idea. 466 00:23:20,600 --> 00:23:22,879 Speaker 3: This was on the Joe Rogan podcast, and there was, 467 00:23:23,440 --> 00:23:25,400 Speaker 3: first of all, I loved this. This might have been 468 00:23:25,400 --> 00:23:27,960 Speaker 3: my favorite Elon moment of the year, just because there's 469 00:23:27,960 --> 00:23:31,879 Speaker 3: something just wonderful about forcing a very powerful person to 470 00:23:32,000 --> 00:23:35,160 Speaker 3: sit through conspiracy, to like have to weigh in on 471 00:23:35,280 --> 00:23:38,159 Speaker 3: every conspiracy on the Internet and be like, so, you know, 472 00:23:38,240 --> 00:23:39,520 Speaker 3: richest man in the world, what do you think about 473 00:23:39,520 --> 00:23:42,040 Speaker 3: the ancient Aliens theory? And so, yes, this is the 474 00:23:42,040 --> 00:23:46,480 Speaker 3: theory that says that, like the Sphinx and the Great 475 00:23:46,560 --> 00:23:49,880 Speaker 3: Pyramids are much older than people thought. And what happened 476 00:23:49,960 --> 00:23:53,439 Speaker 3: is the Aliens came and there was a very advanced 477 00:23:53,480 --> 00:23:56,919 Speaker 3: civilization that built these megalithic things, and they were wiped 478 00:23:56,960 --> 00:24:00,159 Speaker 3: out by some kind of calamity and then we all 479 00:24:00,240 --> 00:24:03,159 Speaker 3: kind of went back to the you know, to Neolithic times. 480 00:24:03,760 --> 00:24:06,080 Speaker 2: On a reporting trip last year at an airport, I 481 00:24:06,119 --> 00:24:09,280 Speaker 2: happened run into Coolio, the deceased rapper, who was a 482 00:24:09,320 --> 00:24:11,520 Speaker 2: wonderful man to get to speak to, but he was 483 00:24:11,560 --> 00:24:15,000 Speaker 2: a big proponent of the ancient Aliens theory and was 484 00:24:15,040 --> 00:24:19,040 Speaker 2: sort of like gently chastising me for not reporting it out. 485 00:24:18,920 --> 00:24:20,119 Speaker 1: Which is really funny. 486 00:24:20,160 --> 00:24:22,680 Speaker 3: I mean, I haven't watched the Secrets of Is It 487 00:24:23,280 --> 00:24:26,919 Speaker 3: Skinwalker Ranch. Skywalker's Skywalker Ranch is where they do the 488 00:24:26,920 --> 00:24:27,840 Speaker 3: special effects. 489 00:24:27,560 --> 00:24:28,320 Speaker 1: For Star Wars. 490 00:24:28,920 --> 00:24:31,080 Speaker 3: There's like a very popular History Channel show on this, 491 00:24:31,160 --> 00:24:32,879 Speaker 3: but I and also a lot of YouTube videos that 492 00:24:32,960 --> 00:24:35,040 Speaker 3: Joe Rogan seems to be very familiar with. 493 00:24:35,119 --> 00:24:39,199 Speaker 6: So yeah, open your eyes. The evidence is all around. 494 00:24:39,320 --> 00:24:42,600 Speaker 2: I was told to do my research. I honestly think 495 00:24:42,800 --> 00:24:44,800 Speaker 2: and like more more than we have time for today. 496 00:24:44,840 --> 00:24:47,880 Speaker 2: But I think that there again, someone with more time 497 00:24:47,920 --> 00:24:50,479 Speaker 2: than any of us have, maybe it's me should figure out. Like, 498 00:24:51,160 --> 00:24:53,919 Speaker 2: at some point we had something called the History Channel 499 00:24:54,040 --> 00:24:56,760 Speaker 2: which showed history, and then at another point they were like 500 00:24:57,040 --> 00:24:59,800 Speaker 2: ancient Aliens documentaries all the time, and for a certain 501 00:25:00,200 --> 00:25:02,439 Speaker 2: late night stoner personality, you're like, well, it's on the 502 00:25:02,480 --> 00:25:06,359 Speaker 2: History Channel. And I think the preponderance of people in 503 00:25:06,400 --> 00:25:09,400 Speaker 2: America who believe that the Sphinx was built by aliens, 504 00:25:09,480 --> 00:25:12,800 Speaker 2: and the History Channel realizing that documentaries are expensive to make, 505 00:25:13,200 --> 00:25:16,560 Speaker 2: I think those things shake hands in a historically cultural way. 506 00:25:16,680 --> 00:25:20,680 Speaker 3: So credit where due here. Elon Musk was very skeptical 507 00:25:20,720 --> 00:25:24,040 Speaker 3: of this theory and repeatedly through cold water on it, 508 00:25:24,080 --> 00:25:26,080 Speaker 3: And I would say, you know, unlike many of his 509 00:25:26,119 --> 00:25:28,960 Speaker 3: other kind of very out there things, stayed firmly with 510 00:25:29,040 --> 00:25:31,960 Speaker 3: the scientific consensus on the question of ancient aliens. 511 00:25:31,960 --> 00:25:34,920 Speaker 1: All right, so I guess Sarah gets that point. I win. 512 00:25:35,560 --> 00:25:37,800 Speaker 2: Why is Rogan asking him about cyber trucks in the 513 00:25:37,840 --> 00:25:39,360 Speaker 2: middle of the Ancient Aliens club? 514 00:25:39,440 --> 00:25:41,119 Speaker 1: Oh my god, PJ. Excellent question. 515 00:25:41,760 --> 00:25:45,320 Speaker 3: Basically, they were having this extended debate over whether the 516 00:25:46,000 --> 00:25:48,920 Speaker 3: lack of evidence for the ancient aliens, the idea of 517 00:25:48,960 --> 00:25:52,280 Speaker 3: an advanced civilization prior to the Neolithic Age, was a 518 00:25:52,320 --> 00:25:55,480 Speaker 3: problem for that theory, and Rogan was sort of positing, 519 00:25:55,640 --> 00:25:57,480 Speaker 3: like was trying to like drill down on, like, well, 520 00:25:57,480 --> 00:25:59,440 Speaker 3: how much evidence would there actually be if you left 521 00:25:59,480 --> 00:26:00,480 Speaker 3: a cyber truck awkward? 522 00:26:00,480 --> 00:26:02,080 Speaker 1: And that's that was how we got there. 523 00:26:02,359 --> 00:26:03,520 Speaker 2: I see, I see. 524 00:26:03,600 --> 00:26:06,040 Speaker 1: Okay, okay, it doesn't make that much sense. 525 00:26:06,640 --> 00:26:09,199 Speaker 3: So but I think we should just move on and 526 00:26:09,359 --> 00:26:11,040 Speaker 3: go to the go to the next clip. 527 00:26:11,680 --> 00:26:13,320 Speaker 9: Now again, and you look at the surface of the 528 00:26:13,600 --> 00:26:16,399 Speaker 9: look at the look at the Pacific, and say what 529 00:26:16,520 --> 00:26:20,160 Speaker 9: percentage of the Pacific consists of whale? Like He'll give 530 00:26:20,160 --> 00:26:21,440 Speaker 9: you a big picture and like point out all the 531 00:26:21,480 --> 00:26:23,440 Speaker 9: whales in this picture. I'm like, I don't see any whales. 532 00:26:24,440 --> 00:26:26,200 Speaker 9: It's like basically zero percent. 533 00:26:27,080 --> 00:26:29,439 Speaker 1: All right, PJ. I don't know if you heard the well. 534 00:26:29,440 --> 00:26:32,040 Speaker 2: At first I thought he said cervix, but he said survey. 535 00:26:32,480 --> 00:26:33,480 Speaker 2: He definitely said survey. 536 00:26:33,640 --> 00:26:34,879 Speaker 1: I'll read it just for clarity. 537 00:26:34,880 --> 00:26:37,240 Speaker 3: If you look at the surface, look at the Pacific, 538 00:26:37,359 --> 00:26:39,720 Speaker 3: meaning the Pacific Ocean, and say what percentage of the 539 00:26:39,760 --> 00:26:44,240 Speaker 3: Pacific consists of whale, whales, the mammal marine mammals. Yeah, 540 00:26:44,280 --> 00:26:45,880 Speaker 3: and then he says, you know, I could, I could 541 00:26:45,920 --> 00:26:47,480 Speaker 3: give you a picture point out all the whales. 542 00:26:47,640 --> 00:26:50,320 Speaker 1: I'm like, I don't see any whales. It's basically zero percent. 543 00:26:50,760 --> 00:26:55,280 Speaker 3: So this comment about Pacific being nearly zero percent whale 544 00:26:56,080 --> 00:27:00,000 Speaker 3: was in response to a question about what topics. 545 00:27:00,520 --> 00:27:03,320 Speaker 2: Okay, okay, I want to get this right. I don't 546 00:27:03,359 --> 00:27:05,200 Speaker 2: just want to let me try to work this out. 547 00:27:05,400 --> 00:27:07,560 Speaker 1: I can give you a hint if you want. Yeah, yeah, okay. 548 00:27:07,600 --> 00:27:09,800 Speaker 3: So it's a topic that's very much been in the 549 00:27:09,840 --> 00:27:12,000 Speaker 3: news in the in the tech world, and it's it's 550 00:27:12,000 --> 00:27:15,560 Speaker 3: a question that sort of transcends both technology and government. 551 00:27:16,520 --> 00:27:19,639 Speaker 2: Who should it's artificial intelligence? You s about artificial intelligence 552 00:27:19,840 --> 00:27:22,480 Speaker 2: and correct? Yeah, okay, okay. 553 00:27:22,160 --> 00:27:24,119 Speaker 3: All right, So PJ gets half a point and the 554 00:27:24,280 --> 00:27:26,040 Speaker 3: other half of the if you want the full point, 555 00:27:26,280 --> 00:27:30,000 Speaker 3: you have to guess how we got from AI regulation 556 00:27:30,800 --> 00:27:32,919 Speaker 3: to the percentage of wales and the Pacific Ocean. 557 00:27:33,280 --> 00:27:37,600 Speaker 2: Well, the metaphor seems to be about how there can 558 00:27:37,600 --> 00:27:40,240 Speaker 2: be a lot of something, even if it's a small 559 00:27:40,280 --> 00:27:42,920 Speaker 2: percentage of something else. And there could be a lot 560 00:27:42,920 --> 00:27:45,800 Speaker 2: of something even if you can't see it. But that's 561 00:27:45,840 --> 00:27:48,640 Speaker 2: as far as my mind can reach to Elon's mind. 562 00:27:49,480 --> 00:27:55,200 Speaker 4: Right, if we don't regulate, we are facing in extermination events. 563 00:27:55,800 --> 00:28:00,000 Speaker 1: That is not correct, Sarah. 564 00:28:00,720 --> 00:28:17,600 Speaker 6: The largest mamble, yeah, is easily hidden almost in the sea, 565 00:28:17,680 --> 00:28:22,080 Speaker 6: and so the insights of AI are there's going to 566 00:28:22,119 --> 00:28:26,040 Speaker 6: be so much content that it'll be difficult to find 567 00:28:26,119 --> 00:28:26,720 Speaker 6: the gems. 568 00:28:26,800 --> 00:28:28,399 Speaker 1: I'm going to give you a quarter of a point 569 00:28:28,440 --> 00:28:30,679 Speaker 1: for that one. His point was that. 570 00:28:30,560 --> 00:28:34,240 Speaker 3: SpaceX follows a lot of rules, including the rule about 571 00:28:34,320 --> 00:28:37,080 Speaker 3: not hitting whales with rocket debris. 572 00:28:37,480 --> 00:28:39,160 Speaker 1: Oh, I'm glad they do. 573 00:28:40,040 --> 00:28:42,000 Speaker 2: I'm sure he was not in favor of all regulation, 574 00:28:42,080 --> 00:28:43,880 Speaker 2: but I feel like that's a good rule. No. 575 00:28:43,960 --> 00:28:47,520 Speaker 3: Actually, his point was that the rule was unnecessary because. 576 00:28:47,520 --> 00:28:48,320 Speaker 1: There's so few whales. 577 00:28:48,360 --> 00:28:50,120 Speaker 3: Yeah, if you look at the ocean, very few whales. 578 00:28:50,160 --> 00:28:51,680 Speaker 3: All right, let's let's hear the last clip. 579 00:28:52,400 --> 00:28:58,080 Speaker 5: I've got my pandeted walrust move that's what it is. Well, 580 00:28:58,120 --> 00:29:00,680 Speaker 5: you know like Walrush doesn't need mash Lush. I forgot 581 00:29:00,680 --> 00:29:04,479 Speaker 5: this even right because it's really big. You don't want 582 00:29:04,480 --> 00:29:05,680 Speaker 5: to go wrestling at Wolrus. 583 00:29:06,280 --> 00:29:07,280 Speaker 1: PJ buzzed first. 584 00:29:07,320 --> 00:29:09,360 Speaker 2: So I mean this is this is Whenam and Zaiber 585 00:29:09,440 --> 00:29:12,080 Speaker 2: were talking about fighting in the octagon. God, what a 586 00:29:12,200 --> 00:29:15,720 Speaker 2: dumb What a dumb world we decided to have. 587 00:29:16,360 --> 00:29:20,520 Speaker 1: We could have had so many other worlds. Okay, I 588 00:29:20,520 --> 00:29:21,280 Speaker 1: think that's enough. 589 00:29:21,560 --> 00:29:24,040 Speaker 3: So I think if I'm keeping this straight, we had 590 00:29:24,120 --> 00:29:25,840 Speaker 3: a point and a half for PJ, a point in 591 00:29:25,840 --> 00:29:27,560 Speaker 3: a quarter for Sarah and Rayhan. 592 00:29:27,880 --> 00:29:33,400 Speaker 1: I'm sorry, zero points for you, Robed. Let's move on. 593 00:29:33,600 --> 00:29:35,360 Speaker 3: We talked about the biggest stories of the year. We 594 00:29:35,680 --> 00:29:37,880 Speaker 3: talked about I think we hit most of the the 595 00:29:37,880 --> 00:29:40,560 Speaker 3: big moments. Let's talk about the stories that maybe didn't 596 00:29:40,600 --> 00:29:42,800 Speaker 3: get as much attention as as we. 597 00:29:42,800 --> 00:29:44,080 Speaker 1: Thought should have. 598 00:29:44,320 --> 00:29:48,200 Speaker 3: Sarah, what was your most underrated Elon Musk story of 599 00:29:48,200 --> 00:29:48,520 Speaker 3: the year. 600 00:29:49,880 --> 00:29:53,960 Speaker 6: I think it has to be Starlink, just because what 601 00:29:54,040 --> 00:30:00,120 Speaker 6: we saw with Musk's power is this is this incredib 602 00:30:00,240 --> 00:30:03,400 Speaker 6: evolution to the point where because he has this tool 603 00:30:03,480 --> 00:30:08,440 Speaker 6: to provide Internet connectivity, he is essentially a diplomat to 604 00:30:09,280 --> 00:30:12,680 Speaker 6: countries that needed countries that are in war. We saw, 605 00:30:13,040 --> 00:30:17,200 Speaker 6: you know, discussions around whether whether it should be used 606 00:30:17,200 --> 00:30:21,440 Speaker 6: in Gaza. It's been used in Ukraine, and the starlink 607 00:30:22,600 --> 00:30:27,760 Speaker 6: connection with musk as like the gatekeeper to that connectivity 608 00:30:28,560 --> 00:30:31,880 Speaker 6: could could open up a lot of more interesting tensions 609 00:30:31,880 --> 00:30:35,160 Speaker 6: for him around the world, especially as he's also like 610 00:30:35,360 --> 00:30:39,400 Speaker 6: weighing in on all these global conflicts via his commentary 611 00:30:39,520 --> 00:30:44,160 Speaker 6: on X and runs. You know, multiple businesses that require 612 00:30:44,840 --> 00:30:47,800 Speaker 6: consumers in all of these countries. So I just think 613 00:30:47,840 --> 00:30:49,520 Speaker 6: starlink is fascinating. 614 00:30:50,040 --> 00:30:53,720 Speaker 3: PJ, what's your what story did we not spend enough 615 00:30:53,720 --> 00:30:56,280 Speaker 3: time talking about in twenty twenty three? 616 00:30:56,440 --> 00:30:59,479 Speaker 2: I mean, to be fair, I think if it ends up, 617 00:30:59,480 --> 00:31:02,240 Speaker 2: mattering will matter much more in twenty twenty four, and 618 00:31:02,760 --> 00:31:05,000 Speaker 2: the place that reported on this was Bloomberg. But I 619 00:31:05,040 --> 00:31:07,840 Speaker 2: think neuralink could end up being a really big deal. 620 00:31:08,040 --> 00:31:11,560 Speaker 2: I think that if Elon, for all of his false 621 00:31:11,800 --> 00:31:13,760 Speaker 2: contradictions and as strange as we feel about the amount 622 00:31:13,800 --> 00:31:18,160 Speaker 2: of power he has, if neuralink works and he invents 623 00:31:18,200 --> 00:31:21,840 Speaker 2: something that in the near term can let paraplegic people 624 00:31:22,120 --> 00:31:24,920 Speaker 2: walk again, and then in the further term could be 625 00:31:25,680 --> 00:31:29,040 Speaker 2: a computer that you put into your brain, and if 626 00:31:29,040 --> 00:31:32,240 Speaker 2: that technology is beneficial and important enough that we have 627 00:31:32,280 --> 00:31:36,080 Speaker 2: to decide, as actually Vance asked in Bloomberg correctly, and 628 00:31:36,120 --> 00:31:39,200 Speaker 2: I believe on this podcast, do we trust Elon Musk 629 00:31:39,520 --> 00:31:42,520 Speaker 2: to put a computer in our brain? I just find 630 00:31:42,560 --> 00:31:45,240 Speaker 2: that to be a fascinating question and a fascinating problem. 631 00:31:45,320 --> 00:31:48,080 Speaker 2: And like, you know, the thing about him is he 632 00:31:48,120 --> 00:31:52,440 Speaker 2: really has been at ground zero of so many transformative technologies, 633 00:31:53,160 --> 00:31:55,680 Speaker 2: to the degree that now if there's something that he's 634 00:31:55,680 --> 00:31:57,800 Speaker 2: looking at that feels a little bit sci fi, but 635 00:31:57,840 --> 00:32:00,480 Speaker 2: there's reporting saying that he's pretty close to break through, 636 00:32:00,920 --> 00:32:03,360 Speaker 2: I'm inclined to take the technology at least very seriously. 637 00:32:03,920 --> 00:32:06,400 Speaker 3: It's funny, you guys are all of your picks are 638 00:32:06,560 --> 00:32:10,400 Speaker 3: sort of in a way better than mine, which was 639 00:32:10,480 --> 00:32:13,360 Speaker 3: just the stock price, because I feel like, although we 640 00:32:13,400 --> 00:32:15,280 Speaker 3: did talk a lot about about it, I feel like 641 00:32:15,320 --> 00:32:18,960 Speaker 3: the money is the thing that kept all of these antics, 642 00:32:19,080 --> 00:32:22,200 Speaker 3: all this weirdness, all this stuff going, and like the 643 00:32:23,040 --> 00:32:26,960 Speaker 3: total like flip from Elon Musk being like down and 644 00:32:27,000 --> 00:32:29,840 Speaker 3: out to being again, what you know, the richest person 645 00:32:29,880 --> 00:32:32,800 Speaker 3: in the world, Like it seems like it partly is 646 00:32:32,800 --> 00:32:34,720 Speaker 3: what enabled you know, all of this. 647 00:32:37,480 --> 00:32:37,880 Speaker 1: All right. 648 00:32:37,960 --> 00:32:40,680 Speaker 3: So we talked a lot about what happened in twenty 649 00:32:40,720 --> 00:32:42,080 Speaker 3: twenty three, and I want. 650 00:32:41,960 --> 00:32:43,840 Speaker 1: To look ahead a little bit, Sarah, what do you. 651 00:32:43,800 --> 00:32:46,000 Speaker 3: Think is going to be the story we're going to 652 00:32:46,040 --> 00:32:48,000 Speaker 3: be talking the most about in twenty twenty four. 653 00:32:48,840 --> 00:32:51,040 Speaker 6: Well, I think the one that I'm going to be 654 00:32:51,640 --> 00:32:56,600 Speaker 6: keeping an eye on closely is just the finances at 655 00:32:56,880 --> 00:33:01,960 Speaker 6: X because it seems like something's going to give at 656 00:33:02,000 --> 00:33:05,880 Speaker 6: some point. They're burning money. They have this tremendous amount 657 00:33:05,920 --> 00:33:09,000 Speaker 6: of debt, by the way, the debt that Musk took 658 00:33:09,040 --> 00:33:12,360 Speaker 6: on from the acquisition, the forty four billion dollar acquisition 659 00:33:12,440 --> 00:33:16,360 Speaker 6: from banks, the thirteen billion that's actually on X's balance sheet. 660 00:33:16,480 --> 00:33:19,479 Speaker 6: It's not his money to repay. The company has to 661 00:33:19,480 --> 00:33:24,680 Speaker 6: repay it. And advertising dollars are are cratering. Just reported 662 00:33:24,720 --> 00:33:29,240 Speaker 6: that the company is projecting maybe optimistic two point five 663 00:33:29,320 --> 00:33:33,680 Speaker 6: billion in revenue for the year, which is way down. 664 00:33:34,000 --> 00:33:37,120 Speaker 6: You know, a normal quarter this year was around six 665 00:33:37,200 --> 00:33:40,800 Speaker 6: hundred million in revenue. Normal quarter last year was more 666 00:33:40,840 --> 00:33:46,280 Speaker 6: than a billion. So does X have to restructure the debt? 667 00:33:46,280 --> 00:33:50,240 Speaker 6: Do they go bankrupt? What happens? And I actually explore 668 00:33:50,280 --> 00:33:53,800 Speaker 6: this with our with our credit team today and It 669 00:33:54,040 --> 00:33:57,240 Speaker 6: just reminded me that if he does decide to restructure 670 00:33:57,320 --> 00:33:59,560 Speaker 6: the debt, if he does go bankrupt, he loses all 671 00:33:59,560 --> 00:34:04,600 Speaker 6: the equity goes away. So all those friends that put in, 672 00:34:05,520 --> 00:34:08,840 Speaker 6: you know, say, if Larry Elson is still a billion 673 00:34:08,880 --> 00:34:13,719 Speaker 6: dollar equity investor in X, it just goes poof if 674 00:34:13,760 --> 00:34:16,759 Speaker 6: they restructure the debt. So that's something that Musk will 675 00:34:16,800 --> 00:34:19,240 Speaker 6: have to grapple with if it gets that dire. 676 00:34:19,640 --> 00:34:23,120 Speaker 3: Okay, so lots of tensions around X. Let's talk about 677 00:34:23,160 --> 00:34:27,040 Speaker 3: the feud between Elon Musk and Bob Iger or maybe 678 00:34:27,080 --> 00:34:29,919 Speaker 3: a one sided feud. But Sarah, where do you think 679 00:34:29,960 --> 00:34:31,239 Speaker 3: that goes next year? 680 00:34:31,480 --> 00:34:31,640 Speaker 1: Oh? 681 00:34:31,719 --> 00:34:38,080 Speaker 6: Man, I mean Elon and Bob Iiger. If X does fail, 682 00:34:39,760 --> 00:34:42,239 Speaker 6: it's going to be like he's going to be completely 683 00:34:42,280 --> 00:34:47,640 Speaker 6: blamed on the advertisers. So Disney will be the entity 684 00:34:47,760 --> 00:34:51,920 Speaker 6: that took your favorite social network if it is your favorite, 685 00:34:52,120 --> 00:34:55,960 Speaker 6: away from you and the feud continues or they get 686 00:34:55,960 --> 00:35:00,600 Speaker 6: back in good graces and billionaires move on. 687 00:35:01,120 --> 00:35:04,120 Speaker 4: It's just occurring to me that Ron DeSantis should be 688 00:35:05,640 --> 00:35:09,920 Speaker 4: what Elon is afraid of becoming. Given like at every stage, 689 00:35:10,040 --> 00:35:13,160 Speaker 4: like you don't go against Disney, you just don't do it. 690 00:35:13,280 --> 00:35:17,280 Speaker 3: You know, Tell it to Earth, Rayhan, tell it to Earth. 691 00:35:17,440 --> 00:35:20,000 Speaker 3: All right, PJ, you brought this up earlier, or I 692 00:35:20,000 --> 00:35:23,320 Speaker 3: guess you guessed it correctly. Elon and Mark Zuckerberg Anna, 693 00:35:23,440 --> 00:35:25,240 Speaker 3: are we gonna see a makeup or a breakup? 694 00:35:25,840 --> 00:35:27,040 Speaker 1: Or are we gonna see a cage fight? 695 00:35:27,320 --> 00:35:29,000 Speaker 2: I don't think we're gonna see a cage fight. 696 00:35:29,040 --> 00:35:31,000 Speaker 1: It's so disappointing. I feel like my. 697 00:35:31,080 --> 00:35:34,560 Speaker 2: Read was Mark Zuckerberg figured out that arguing with Elon 698 00:35:34,719 --> 00:35:36,920 Speaker 2: was not a great look. That like, initially, maybe it 699 00:35:36,960 --> 00:35:39,520 Speaker 2: was like, oh, isn't it cool that Mark Zuckerberg's physically fit? 700 00:35:39,880 --> 00:35:42,200 Speaker 2: And then isn't it cool that Mark Zuckerberg is like 701 00:35:42,560 --> 00:35:44,040 Speaker 2: being a little dramatic, and isn't it cool that he 702 00:35:44,040 --> 00:35:46,280 Speaker 2: looks like the grown up? And eventually sort of everyone 703 00:35:46,360 --> 00:35:50,239 Speaker 2: clocks that two middle aged men are talking about an octagon, 704 00:35:50,320 --> 00:35:52,279 Speaker 2: and like, I think he's figured out to just not 705 00:35:52,680 --> 00:35:56,600 Speaker 2: do that. So I don't think the fight reignites, because 706 00:35:56,880 --> 00:35:59,080 Speaker 2: I think Zuckerberg's smart enough to stay away and Elon 707 00:35:59,239 --> 00:36:02,400 Speaker 2: is so punch drunk on targets. I'll find somebody. 708 00:36:02,120 --> 00:36:05,279 Speaker 4: Else that seems right. I think that, like, I think 709 00:36:05,600 --> 00:36:10,120 Speaker 4: Zuckerberg is just like loving threads right now and like 710 00:36:10,320 --> 00:36:14,839 Speaker 4: the emergence of a rival short form social media, so 711 00:36:14,880 --> 00:36:17,520 Speaker 4: I think that in his octagon he's already won. 712 00:36:17,680 --> 00:36:20,239 Speaker 3: Well, I've been the long time you know, age fight 713 00:36:20,280 --> 00:36:22,839 Speaker 3: promoter of this on this podcast, and I have to 714 00:36:22,920 --> 00:36:26,400 Speaker 3: concur and with with great disappointment because I did, I 715 00:36:26,440 --> 00:36:28,840 Speaker 3: did want to bet on Elon for that. 716 00:36:28,920 --> 00:36:30,399 Speaker 4: I mean, you did bet on Elon? 717 00:36:30,480 --> 00:36:30,719 Speaker 1: I did? 718 00:36:30,760 --> 00:36:30,960 Speaker 3: Yes? 719 00:36:31,239 --> 00:36:32,080 Speaker 1: What was the thinking? 720 00:36:32,520 --> 00:36:36,040 Speaker 3: The thinking is size, it's you know, it's we heard it, 721 00:36:36,080 --> 00:36:36,839 Speaker 3: the wall was out. 722 00:36:38,719 --> 00:36:38,920 Speaker 2: You know. 723 00:36:39,080 --> 00:36:43,200 Speaker 3: I just think, like, like you know, Elon might want 724 00:36:43,200 --> 00:36:45,279 Speaker 3: it a little bit more than Mark Zuckerberg. I'm just 725 00:36:45,440 --> 00:36:48,120 Speaker 3: not sure that as I, as I say it out loud, 726 00:36:48,160 --> 00:36:51,200 Speaker 3: it doesn't sound that good to be talking myself out 727 00:36:51,200 --> 00:36:55,640 Speaker 3: of it as we speak. Okay, that seems like a 728 00:36:55,640 --> 00:36:58,719 Speaker 3: great place to wrap up. Thanks for listening to Elon Inc. 729 00:36:58,800 --> 00:37:01,920 Speaker 3: And thanks to our panel Sarah, Rayhan and PJ. 730 00:37:03,000 --> 00:37:03,799 Speaker 2: Thanks for having me. 731 00:37:04,080 --> 00:37:09,520 Speaker 3: Thanks, thank you, and listeners, please check out pj's podcast. 732 00:37:09,560 --> 00:37:11,239 Speaker 1: It's called search Engine. It's really great. 733 00:37:18,760 --> 00:37:21,960 Speaker 3: This episode was produced by Stacy Wong, Naomi Shavin, and 734 00:37:22,040 --> 00:37:25,600 Speaker 3: Rayhan Hamansi, our senior editors. The idea for this show 735 00:37:26,000 --> 00:37:29,120 Speaker 3: also came from Rayhan Blake Maple's handles engineering, and we 736 00:37:29,120 --> 00:37:33,800 Speaker 3: get special editing assistants from Jeff Grocott. Our supervising producer 737 00:37:33,840 --> 00:37:37,920 Speaker 3: is Magnus Hendrickson. Thanks a bunch to BusinessWeek editor Joel Weber, 738 00:37:38,280 --> 00:37:42,080 Speaker 3: and to Soer Sadi and to Angel Rekio. The Elon Inc. 739 00:37:42,200 --> 00:37:46,239 Speaker 3: Theme is written and performed by Taka Yazuzawa and Alex Sigierra. 740 00:37:46,680 --> 00:37:49,160 Speaker 3: Sage Bauman is the head of Bloomberg Podcast and our 741 00:37:49,200 --> 00:37:50,120 Speaker 3: executive producer. 742 00:37:50,360 --> 00:37:51,280 Speaker 1: I'm Max Schafkin. 743 00:37:51,800 --> 00:37:54,560 Speaker 3: David Popadopoulos is off for a couple of weeks. He'll 744 00:37:54,560 --> 00:37:56,000 Speaker 3: be back in the new year. 745 00:37:56,400 --> 00:37:58,799 Speaker 1: If you want to give us a holiday gift, leave us. 746 00:37:58,680 --> 00:38:03,200 Speaker 3: A rating, a review. We really appreciate it. Happy holidays, everybody, 747 00:38:03,400 --> 00:38:03,919 Speaker 3: See you soon.