1 00:00:03,080 --> 00:00:09,240 Speaker 1: Bloomberg Audio Studios, Podcasts, radio news. 2 00:00:12,400 --> 00:00:15,320 Speaker 2: Well, Elon Musk is now the richest person on the planet. 3 00:00:15,640 --> 00:00:18,480 Speaker 3: More than half the satellites in space are owned and 4 00:00:18,560 --> 00:00:22,759 Speaker 3: controlled by one man. Well, he's a legitimate super genius. 5 00:00:22,960 --> 00:00:23,919 Speaker 4: I mean legitimate. 6 00:00:24,120 --> 00:00:26,759 Speaker 3: He says he's always voted for Democrats, but this year 7 00:00:26,800 --> 00:00:27,560 Speaker 3: it will be different. 8 00:00:27,560 --> 00:00:28,520 Speaker 1: He'll vote Republican. 9 00:00:28,800 --> 00:00:31,240 Speaker 2: There is a reason the US government is so reliant 10 00:00:31,320 --> 00:00:31,680 Speaker 2: on him. 11 00:00:31,920 --> 00:00:34,920 Speaker 1: Alon Musk is a scam artist and he's done nothing. 12 00:00:36,120 --> 00:00:38,880 Speaker 5: Anything he does, he's fascinating people. 13 00:00:49,920 --> 00:00:53,240 Speaker 3: Welcome to elan Ink, Bloomberg's weekly podcast about Elon Musk. 14 00:00:53,280 --> 00:00:58,360 Speaker 3: It's Tuesday, December sixteenth. I'm your host, David Popadopolis. This week, 15 00:00:58,480 --> 00:01:00,920 Speaker 3: there's a chill in the air. Well, it's been drafty 16 00:01:01,000 --> 00:01:04,160 Speaker 3: for a while actually, but it's absolutely ice cold right 17 00:01:04,200 --> 00:01:07,240 Speaker 3: now between Sam Altman and Elon Musk, as their feud 18 00:01:07,480 --> 00:01:10,679 Speaker 3: enters that digging up old emails and posting them on 19 00:01:10,720 --> 00:01:14,160 Speaker 3: the internet. Phase we'll examine what AI is put out 20 00:01:14,160 --> 00:01:16,840 Speaker 3: there about Musk, and then take a deeper look at 21 00:01:16,840 --> 00:01:21,080 Speaker 3: Donald Trump's NASA pick Jared Isaacman and what his long 22 00:01:21,160 --> 00:01:25,120 Speaker 3: standing relationship with Elon could mean for SpaceX. Joining me 23 00:01:25,240 --> 00:01:29,440 Speaker 3: are our stalwarts, Dana Hull and Max Chafkin. Dana, Hello, 24 00:01:30,200 --> 00:01:32,559 Speaker 3: Hey Max, David. 25 00:01:32,640 --> 00:01:35,840 Speaker 2: Every time you say the NASA, I think you're gonna 26 00:01:35,840 --> 00:01:40,160 Speaker 2: mention the county executive of NASA county rather than days. 27 00:01:40,200 --> 00:01:45,680 Speaker 3: I'm going to get the pronunciation right. Say it for me, Max, NASA, NASA, NASA, NASA, 28 00:01:46,000 --> 00:01:49,320 Speaker 3: NASA next to Suffolk, which is what These are all 29 00:01:49,440 --> 00:01:54,400 Speaker 3: my never change, These are all my favorite counties. And 30 00:01:54,440 --> 00:01:58,200 Speaker 3: then later on Lauren Grush, our Space reporter, will talk 31 00:01:58,240 --> 00:02:02,520 Speaker 3: to us about the Jared Isaacman selection. Oh and then wait, 32 00:02:02,720 --> 00:02:06,920 Speaker 3: Elon's also building a preschool for kids in Texas. A 33 00:02:06,960 --> 00:02:10,079 Speaker 3: little on that at the end from Dana, and maybe 34 00:02:10,440 --> 00:02:14,680 Speaker 3: time permitting a little mail from the mail bag. We 35 00:02:14,760 --> 00:02:20,040 Speaker 3: start with Open AI and the spat that is now 36 00:02:20,320 --> 00:02:25,440 Speaker 3: building rapidly with Musk and you know, Max, the other 37 00:02:25,520 --> 00:02:30,080 Speaker 3: day I read that Altman said Samueltman, the head of 38 00:02:30,120 --> 00:02:34,880 Speaker 3: Open AI, said that he was quote tremendously sad about 39 00:02:34,880 --> 00:02:38,959 Speaker 3: the feud with Elon, And you know, I'm I'm I'm 40 00:02:38,960 --> 00:02:41,680 Speaker 3: sure he is. It can't be cool to be in 41 00:02:41,720 --> 00:02:44,680 Speaker 3: this bruising battle with an old pal of yours. But 42 00:02:44,840 --> 00:02:48,120 Speaker 3: you know, for us here lovers of feud. 43 00:02:48,760 --> 00:02:51,440 Speaker 2: There are so many good feuds going on right now. 44 00:02:51,440 --> 00:02:54,400 Speaker 2: There's Elon and Gary Gensler, there's Elon in the post office, 45 00:02:54,480 --> 00:02:55,440 Speaker 2: and then there's this one. 46 00:02:55,480 --> 00:02:56,760 Speaker 4: Like you said, this. 47 00:02:56,639 --> 00:02:59,880 Speaker 3: One all of a sudden, out of the blue of sorts, 48 00:03:00,080 --> 00:03:05,000 Speaker 3: has become such a fever, has hit such a fevered 49 00:03:05,040 --> 00:03:08,240 Speaker 3: pitch that it not only is appearing on the show, 50 00:03:08,320 --> 00:03:11,679 Speaker 3: but is appearing as our lead segment. So, Max, when 51 00:03:11,680 --> 00:03:15,840 Speaker 3: this trove of messages was revealed the other day by 52 00:03:15,880 --> 00:03:18,280 Speaker 3: open ai, what exactly did they show? 53 00:03:18,800 --> 00:03:22,800 Speaker 2: The messages show what open Ai and Sam Altman have 54 00:03:22,919 --> 00:03:26,639 Speaker 2: contended all along, which is that Elon Musk complaints And 55 00:03:27,040 --> 00:03:30,320 Speaker 2: just to remind people, the complaint is that Elon Musk 56 00:03:30,400 --> 00:03:33,920 Speaker 2: funded this not for profit with the idea that he 57 00:03:34,080 --> 00:03:36,360 Speaker 2: was going to, you know, help the world stave off 58 00:03:36,400 --> 00:03:41,600 Speaker 2: AI apocalypse, and Sam Altman and his colleagues essentially took 59 00:03:41,640 --> 00:03:44,600 Speaker 2: the money and turned it into a for profit company, 60 00:03:44,920 --> 00:03:48,520 Speaker 2: cutting out one Elon Musk. And what the emails show 61 00:03:49,000 --> 00:03:52,440 Speaker 2: is that at various times, according to the emails that 62 00:03:52,480 --> 00:03:54,240 Speaker 2: have been released, And I think you need to be 63 00:03:54,320 --> 00:03:56,080 Speaker 2: a little bit careful when you're talking about this stuff 64 00:03:56,080 --> 00:03:59,080 Speaker 2: because we because obviously this can be selective. We're not seeing. 65 00:03:59,280 --> 00:04:02,720 Speaker 3: Either that the emails are bogus, but that you are 66 00:04:02,840 --> 00:04:04,200 Speaker 3: just that you're seeing. 67 00:04:03,880 --> 00:04:06,560 Speaker 2: A selection of emails that they found and they put 68 00:04:06,640 --> 00:04:09,520 Speaker 2: up on a website. We are not seeing the product 69 00:04:09,840 --> 00:04:12,840 Speaker 2: of discovery. I'm sure if Elon Musk went. 70 00:04:12,760 --> 00:04:15,960 Speaker 3: Through how do we okay? So we're not seeing these 71 00:04:15,960 --> 00:04:16,800 Speaker 3: through court document. 72 00:04:16,960 --> 00:04:17,960 Speaker 4: No, this is just open. 73 00:04:18,000 --> 00:04:23,520 Speaker 2: AI is responding in public and assumedly they've they've already 74 00:04:23,560 --> 00:04:25,039 Speaker 2: responded in court at various times. 75 00:04:25,080 --> 00:04:26,680 Speaker 4: Elon Musk has refiled the suit. 76 00:04:26,760 --> 00:04:30,039 Speaker 3: So you know, can I interupt for a second. How 77 00:04:30,120 --> 00:04:33,720 Speaker 3: common is it when you've got a legal spat in 78 00:04:33,880 --> 00:04:37,840 Speaker 3: court going on, that you are also doing this publicly 79 00:04:37,880 --> 00:04:39,320 Speaker 3: in this way it. 80 00:04:39,320 --> 00:04:41,919 Speaker 2: Happens, I mean, you know, as as you know, like 81 00:04:41,960 --> 00:04:44,960 Speaker 2: a lot of times when companies sue each other, it 82 00:04:45,000 --> 00:04:47,920 Speaker 2: is partly a negotiation, and of course there are different 83 00:04:47,920 --> 00:04:51,440 Speaker 2: way you know, you're you're negotiating for money essentially over however, 84 00:04:51,480 --> 00:04:54,520 Speaker 2: whatever was taken from you, and companies will try to 85 00:04:54,560 --> 00:04:57,320 Speaker 2: negotiate in court. There's a strategy where you like, don't 86 00:04:57,320 --> 00:04:59,120 Speaker 2: talk to the press at all, you let the court 87 00:04:59,160 --> 00:05:01,480 Speaker 2: filings speak for them. But there's also a course of 88 00:05:01,520 --> 00:05:03,240 Speaker 2: strategy where you brief the press at every turn. 89 00:05:03,320 --> 00:05:05,320 Speaker 4: I mean, we've all seen sort of TV. 90 00:05:05,240 --> 00:05:09,080 Speaker 2: Lawyers and and open AI and Elon Musk to some extent, 91 00:05:09,240 --> 00:05:12,480 Speaker 2: are following the latter strategy. Elon is filing these lawsuits, 92 00:05:12,520 --> 00:05:15,280 Speaker 2: but he's also tweeting about it. There he's he's giving 93 00:05:15,440 --> 00:05:16,679 Speaker 2: Sam Altman a nickname. 94 00:05:16,800 --> 00:05:19,720 Speaker 4: Swindley. Sam is the is the nickname he's supplied Dick. 95 00:05:20,680 --> 00:05:22,800 Speaker 2: I've said it a few times, but I think I 96 00:05:22,920 --> 00:05:26,320 Speaker 2: just mostly find it amusing that Elon Musk has adopted 97 00:05:26,320 --> 00:05:30,320 Speaker 2: the Trump affectation of giving people demeaning nicknames. 98 00:05:30,400 --> 00:05:32,679 Speaker 4: So so I just see it as more of that evolution. 99 00:05:32,839 --> 00:05:36,520 Speaker 2: But anyway, the emails show or seem to show that 100 00:05:36,560 --> 00:05:40,479 Speaker 2: Elon Musk first of all, was supportive of the idea 101 00:05:40,600 --> 00:05:43,440 Speaker 2: of making it a for profit company because they were 102 00:05:43,480 --> 00:05:46,920 Speaker 2: all worried that, according to the emails again that they 103 00:05:46,960 --> 00:05:49,920 Speaker 2: were not gonna have enough money to build these massive 104 00:05:49,920 --> 00:05:54,880 Speaker 2: computing clusters. And secondly, they show that Elon Musk had 105 00:05:54,920 --> 00:05:57,600 Speaker 2: a very real fixation this will not come as a 106 00:05:57,600 --> 00:05:59,960 Speaker 2: surprise the listeners of the show, a very real fixation 107 00:06:00,240 --> 00:06:04,320 Speaker 2: on control, on owning a lot of this very eventually 108 00:06:04,400 --> 00:06:06,880 Speaker 2: very valuable company and also being able to control it 109 00:06:07,000 --> 00:06:10,240 Speaker 2: and also naming himself CEO, and when he was thwarted there, 110 00:06:10,480 --> 00:06:13,679 Speaker 2: he tried to kind of merge it with Tesla. Now again, 111 00:06:14,160 --> 00:06:16,200 Speaker 2: this is the open ai story. I think we have 112 00:06:16,279 --> 00:06:18,880 Speaker 2: to assume that the story could be more complicated than 113 00:06:18,880 --> 00:06:19,479 Speaker 2: these emails. 114 00:06:19,480 --> 00:06:20,880 Speaker 4: But that's that's what the email show. 115 00:06:21,080 --> 00:06:24,120 Speaker 1: To Max's point, there's there's court and then there's like 116 00:06:24,160 --> 00:06:26,240 Speaker 1: the court of public opinion. And I think that open 117 00:06:26,240 --> 00:06:29,600 Speaker 1: ai has taken the tack of as we're like responding 118 00:06:29,760 --> 00:06:33,440 Speaker 1: in court, let's also respond publicly on our blog. And 119 00:06:33,520 --> 00:06:35,680 Speaker 1: they're you know, they're putting out these blogs where they're like, 120 00:06:36,000 --> 00:06:38,840 Speaker 1: here's the latest, here's the latest. And I think that 121 00:06:38,839 --> 00:06:42,120 Speaker 1: that's very tactical by Sam Altman and his supporters because 122 00:06:42,880 --> 00:06:46,000 Speaker 1: they have receipts and they're making them. It really kind 123 00:06:46,000 --> 00:06:48,480 Speaker 1: of shows, you know, that Elon is talking out of 124 00:06:48,520 --> 00:06:51,280 Speaker 1: both sides of his mouth. I mean, he wanted it 125 00:06:51,320 --> 00:06:53,760 Speaker 1: to be a for profit company when he was in control, 126 00:06:54,120 --> 00:06:56,120 Speaker 1: and then as soon as he lost control, he's been 127 00:06:56,160 --> 00:06:59,000 Speaker 1: digging them for trying to be for profit. And so 128 00:06:59,480 --> 00:07:01,800 Speaker 1: whoever he's got the servers there at open ai, I mean, 129 00:07:01,839 --> 00:07:04,240 Speaker 1: they've got these emails going back years and they're just 130 00:07:04,400 --> 00:07:06,680 Speaker 1: dribbling them out like bit by bit. This is not 131 00:07:06,760 --> 00:07:09,240 Speaker 1: the only first time that we've seen the emails come out. 132 00:07:09,279 --> 00:07:11,760 Speaker 1: And it's just a reminder to all journalists that like, 133 00:07:12,320 --> 00:07:14,480 Speaker 1: lawsuits are a gold mind, and like you got to 134 00:07:14,520 --> 00:07:16,440 Speaker 1: look at all the you got to look at all 135 00:07:16,480 --> 00:07:19,840 Speaker 1: the appendency appendencies, and you've got to read all the emails, 136 00:07:19,920 --> 00:07:22,960 Speaker 1: and old emails are just great. I love them. If 137 00:07:23,000 --> 00:07:25,200 Speaker 1: you have any, send them to us Elon Inc. 138 00:07:25,240 --> 00:07:27,560 Speaker 2: At Bloomberg, gott Neet. Just just a reminder. It can 139 00:07:27,600 --> 00:07:30,000 Speaker 2: also go the other way, right. You can sort of 140 00:07:30,280 --> 00:07:33,000 Speaker 2: fight a lawsuit by issuing a press release or calling 141 00:07:33,000 --> 00:07:35,160 Speaker 2: a press conference. You can also use a lawsuit to 142 00:07:35,280 --> 00:07:39,000 Speaker 2: generate positive publicity. And I think all along we have 143 00:07:39,160 --> 00:07:41,960 Speaker 2: seen as we've talked about this dispute, we have seen 144 00:07:42,000 --> 00:07:44,960 Speaker 2: it as partly a way for Elon Musk to call 145 00:07:45,000 --> 00:07:48,440 Speaker 2: attention to all the amazing work he is doing at 146 00:07:48,640 --> 00:07:53,320 Speaker 2: x Ai, his ai chatbot competitor, which is very importantly 147 00:07:53,360 --> 00:07:57,160 Speaker 2: a competitor open Ai, to help attract employees. He is 148 00:07:57,240 --> 00:07:59,840 Speaker 2: making a statement with this lawsuit as much as he 149 00:07:59,880 --> 00:08:03,800 Speaker 2: is asking the court to stop open ai from turning 150 00:08:03,840 --> 00:08:06,280 Speaker 2: into a not for profit from turning into a four. 151 00:08:06,440 --> 00:08:09,520 Speaker 3: No help us for a second there and remind us 152 00:08:09,760 --> 00:08:13,360 Speaker 3: where exactly at this point we feel like x Ai 153 00:08:13,560 --> 00:08:16,760 Speaker 3: fits in the constellation of the Musk Empire. It was 154 00:08:16,840 --> 00:08:20,480 Speaker 3: obviously it is perhaps the very newest of all his companies, 155 00:08:21,040 --> 00:08:26,080 Speaker 3: but it seems like one that potentially has a rapidly 156 00:08:26,600 --> 00:08:27,600 Speaker 3: growing valuation. 157 00:08:27,960 --> 00:08:31,760 Speaker 2: Of course, all probably the third most valuable company in 158 00:08:31,800 --> 00:08:32,280 Speaker 2: the empire. 159 00:08:33,360 --> 00:08:33,720 Speaker 3: Boring. 160 00:08:34,880 --> 00:08:37,680 Speaker 2: You're not going to believe this, but the tunneling industry 161 00:08:37,880 --> 00:08:39,440 Speaker 2: is not the growth industry that. 162 00:08:39,400 --> 00:08:41,959 Speaker 3: I'm offended for. The men and women are boring the 163 00:08:42,120 --> 00:08:45,520 Speaker 3: chat because you have a third just but so Tesla 164 00:08:45,720 --> 00:08:47,360 Speaker 3: SpaceX x Ai. 165 00:08:47,960 --> 00:08:50,960 Speaker 2: Yeah, and I'm not saying that's because they've created more 166 00:08:51,080 --> 00:08:54,200 Speaker 2: values to come, but but it's this is just how 167 00:08:54,320 --> 00:08:58,160 Speaker 2: investors are valuing these things. I don't think it's unreasonable 168 00:08:58,559 --> 00:09:01,079 Speaker 2: to think that that value is in the tens of 169 00:09:01,120 --> 00:09:05,880 Speaker 2: billions of dollars because look, they've built a credible chat bot. 170 00:09:06,040 --> 00:09:08,720 Speaker 2: Now I think you can you can quibble with elon 171 00:09:08,800 --> 00:09:10,960 Speaker 2: Musk and I'm sure open Ai would that, just just 172 00:09:11,000 --> 00:09:14,679 Speaker 2: like how much of open AI's business has he replicated, 173 00:09:14,960 --> 00:09:17,160 Speaker 2: how much of open aas customer bases? He replicated but 174 00:09:17,200 --> 00:09:21,080 Speaker 2: he's built this valuable thing. He's also acquired a very 175 00:09:21,200 --> 00:09:26,319 Speaker 2: large cluster of these GPUs, the chips that train AI 176 00:09:26,360 --> 00:09:29,200 Speaker 2: algorithm rhythms. He's he's got, you know, one of the 177 00:09:29,200 --> 00:09:32,440 Speaker 2: players in this industry. And open ai is worth a 178 00:09:32,440 --> 00:09:34,280 Speaker 2: lot of money. So even if it's not worth as 179 00:09:34,320 --> 00:09:36,800 Speaker 2: much as open ai, it could easily be worth you know, 180 00:09:36,880 --> 00:09:39,120 Speaker 2: something like fifty billion dollars at least as far as 181 00:09:39,679 --> 00:09:41,880 Speaker 2: some investors are going to see it. And that is 182 00:09:42,160 --> 00:09:44,680 Speaker 2: interestingly not only like the third would be like the 183 00:09:44,679 --> 00:09:46,880 Speaker 2: third biggest and most valuable company in the Musk Empire, 184 00:09:46,920 --> 00:09:49,680 Speaker 2: but it would probably make it more valuable than good 185 00:09:49,679 --> 00:09:51,920 Speaker 2: old x you know, Twitter, which he bought for forty 186 00:09:51,920 --> 00:09:55,400 Speaker 2: four billion, but which has seen its valuation fall since then. 187 00:09:55,960 --> 00:09:58,400 Speaker 1: Yeah, and Xai, like they built this massive cluster. 188 00:09:58,440 --> 00:09:59,120 Speaker 4: What are they calling it? 189 00:09:59,240 --> 00:10:02,160 Speaker 1: Colossus? I forget, I forget the naming conventions for but 190 00:10:02,280 --> 00:10:04,960 Speaker 1: like the but the data center that they that they've 191 00:10:04,960 --> 00:10:08,239 Speaker 1: built with all these Nvidia GPUs and Memphis is called Colossus. 192 00:10:08,800 --> 00:10:11,360 Speaker 1: And you know, if this is like a gold rush 193 00:10:11,480 --> 00:10:14,560 Speaker 1: where basically whoever has the most chips or the most 194 00:10:14,600 --> 00:10:18,440 Speaker 1: GPUs wins, I mean, Elon is in the game and 195 00:10:18,840 --> 00:10:21,640 Speaker 1: Sam Altman is his biggest competitor in this race. If 196 00:10:21,640 --> 00:10:25,280 Speaker 1: you look at the constellation of companies SpaceX SO, Tesla, 197 00:10:25,720 --> 00:10:32,559 Speaker 1: SpaceX x AI, then you've got you know, Neuralink. 198 00:10:32,120 --> 00:10:35,720 Speaker 3: Boring and X You've got X last, and you've got 199 00:10:35,840 --> 00:10:37,760 Speaker 3: Boring second or last. Just for the record, I just 200 00:10:37,760 --> 00:10:40,200 Speaker 3: want to say it. I mean to me, I value 201 00:10:40,240 --> 00:10:44,000 Speaker 3: Boring as the most valuable of them all. 202 00:10:44,160 --> 00:10:46,559 Speaker 2: Can I just fly a couple of fun things from 203 00:10:46,600 --> 00:10:48,200 Speaker 2: this emails? 204 00:10:48,840 --> 00:10:51,520 Speaker 3: You have other things from the trophy hit. 205 00:10:51,480 --> 00:10:54,640 Speaker 2: One thing, one thing that comes across. Well, first of all, 206 00:10:55,000 --> 00:10:59,320 Speaker 2: there's a proposal to use crypto to fund open ai 207 00:10:59,679 --> 00:11:02,120 Speaker 2: because they need all this money. And and from the 208 00:11:02,160 --> 00:11:04,560 Speaker 2: emails you can conclude that Elon Musk does not see 209 00:11:04,600 --> 00:11:07,199 Speaker 2: that as a very viable approach, which is kind of 210 00:11:07,240 --> 00:11:10,080 Speaker 2: funny because he in public, you know, is is the 211 00:11:10,120 --> 00:11:10,640 Speaker 2: doge father. 212 00:11:10,679 --> 00:11:11,600 Speaker 4: He's always talking about her. 213 00:11:11,720 --> 00:11:15,199 Speaker 3: What do you mean by use crypto to fund open as. 214 00:11:15,000 --> 00:11:19,760 Speaker 4: We an I c O initial Remember this created. 215 00:11:19,640 --> 00:11:23,240 Speaker 3: News if you create a news coin, create a new coin. 216 00:11:23,280 --> 00:11:26,000 Speaker 2: And Elon Musk, at least in private, very much saw 217 00:11:26,040 --> 00:11:29,319 Speaker 2: it that way as as something that we gimmicky, unserious 218 00:11:29,440 --> 00:11:32,080 Speaker 2: or whatever. And and dissuaded or attempted. 219 00:11:31,679 --> 00:11:34,120 Speaker 3: To come out that was from the Yeah, it's just. 220 00:11:34,080 --> 00:11:36,560 Speaker 4: Like in the back and forth, you see it, well right. 221 00:11:36,320 --> 00:11:39,640 Speaker 3: Now with all the coins worth, the zillion dollars that didn't. 222 00:11:39,480 --> 00:11:40,800 Speaker 4: Maybe it would have been the right move. 223 00:11:40,920 --> 00:11:41,120 Speaker 1: Well. 224 00:11:41,400 --> 00:11:44,920 Speaker 2: The other the other thing is, you know what you 225 00:11:44,960 --> 00:11:47,120 Speaker 2: see in this in this back and forth, and I 226 00:11:47,200 --> 00:11:49,440 Speaker 2: think this is going to be like this is a 227 00:11:49,480 --> 00:11:52,480 Speaker 2: real problem, I think for both these guys, because first 228 00:11:52,480 --> 00:11:56,440 Speaker 2: of all, they're both making points that seem somewhat damaging 229 00:11:56,480 --> 00:11:59,600 Speaker 2: to the other, and they both kind of come off 230 00:12:00,040 --> 00:12:03,520 Speaker 2: as people who are talking a big game about the 231 00:12:03,600 --> 00:12:07,120 Speaker 2: sort of higher purposes of what they're doing, but then 232 00:12:07,200 --> 00:12:09,880 Speaker 2: behind the scenes are very concerned with money, which kind 233 00:12:09,880 --> 00:12:11,480 Speaker 2: of undercuts the sense of a higher purpose. 234 00:12:11,640 --> 00:12:12,719 Speaker 3: And I think it. 235 00:12:12,720 --> 00:12:17,319 Speaker 2: Really shows a sort of political clumsiness. And it makes 236 00:12:17,360 --> 00:12:21,040 Speaker 2: me wonder what is going to happen when this kind 237 00:12:21,080 --> 00:12:24,000 Speaker 2: of thing happens in the Trump administration, Because you're gonna 238 00:12:24,000 --> 00:12:24,400 Speaker 2: have the same thing. 239 00:12:24,400 --> 00:12:28,240 Speaker 4: You're gonna have this this like collision of higher goals. 240 00:12:28,240 --> 00:12:30,600 Speaker 2: We're going to try to streamline government, we're gonna we're 241 00:12:30,600 --> 00:12:33,040 Speaker 2: gonna reach the stars or whatever, and then you're gonna 242 00:12:33,040 --> 00:12:35,880 Speaker 2: have the reality that Elon Musk is also very interested 243 00:12:35,880 --> 00:12:38,840 Speaker 2: in getting paid. He is interested in control. You know, 244 00:12:38,920 --> 00:12:41,760 Speaker 2: he's interested in the normal things that business people are 245 00:12:41,800 --> 00:12:45,840 Speaker 2: interested in. And I don't think he has that much 246 00:12:45,920 --> 00:12:50,040 Speaker 2: experience kind of navigating this in public, and so I 247 00:12:50,080 --> 00:12:52,920 Speaker 2: feel like this could be a preview of the awkwardness 248 00:12:52,920 --> 00:12:55,240 Speaker 2: to come over the next you know, four years potentially. 249 00:12:57,200 --> 00:12:59,080 Speaker 3: Yeah, indeed, so you see it as a bit of 250 00:12:59,120 --> 00:13:04,040 Speaker 3: a potentially a lose lose here for both Musk and Altman. 251 00:13:04,080 --> 00:13:06,439 Speaker 3: And anyway, it looks like the next step in this case, 252 00:13:06,520 --> 00:13:10,839 Speaker 3: if I'm not mistaken, is a hearing in January. And 253 00:13:10,920 --> 00:13:13,400 Speaker 3: so it'll just keep keep coming up again and again. 254 00:13:13,679 --> 00:13:17,280 Speaker 2: They did manage to squash the beef once at the 255 00:13:17,360 --> 00:13:19,280 Speaker 2: earlier this year. You know, who knows, maybe they'll be 256 00:13:19,280 --> 00:13:21,000 Speaker 2: able to work it out. And you saw Sam Altman 257 00:13:21,280 --> 00:13:23,760 Speaker 2: make some kind of positive comments about Elon Musk. 258 00:13:23,800 --> 00:13:25,400 Speaker 4: Elon Muskin acknowledge those comments. 259 00:13:25,480 --> 00:13:26,640 Speaker 1: Wasn't there's some kind of hug. 260 00:13:26,760 --> 00:13:28,599 Speaker 3: There was a hug, which is all part of the 261 00:13:28,640 --> 00:13:30,920 Speaker 3: reason why Altman is now tremendously sad about it. 262 00:13:31,120 --> 00:13:35,199 Speaker 2: They hugged it out and then Musk refiled the lawsuit. 263 00:13:35,600 --> 00:13:38,120 Speaker 2: So who knows maybe they'll be able to find their way, 264 00:13:38,600 --> 00:13:41,319 Speaker 2: you know, on the porty, on the patio at mar 265 00:13:41,320 --> 00:13:43,360 Speaker 2: A Lago or something and make the. 266 00:13:43,280 --> 00:13:47,000 Speaker 3: Piece any good feud, any truly truly good feud. To 267 00:13:47,040 --> 00:13:49,200 Speaker 3: be a top feud, it's got to be capable of 268 00:13:49,280 --> 00:13:51,040 Speaker 3: overcoming a brief datime. 269 00:13:51,240 --> 00:13:54,480 Speaker 4: For me, it has to have the prospect of physical violence. 270 00:13:55,760 --> 00:13:57,959 Speaker 3: Well, it's true, you're raising good point that we've moved. 271 00:13:57,960 --> 00:14:00,960 Speaker 3: We've drifted pretty far from the initial goal of it all, 272 00:14:01,000 --> 00:14:02,720 Speaker 3: which was to get people in a cage match. 273 00:14:02,880 --> 00:14:06,560 Speaker 1: And now talking about speaking okay, speaking of cage match, 274 00:14:06,600 --> 00:14:09,560 Speaker 1: can we talk about how Meta filed something where they're 275 00:14:09,600 --> 00:14:13,400 Speaker 1: basically supporting Elon in his fight against Open AI. Did 276 00:14:13,400 --> 00:14:13,840 Speaker 1: you see that? 277 00:14:14,040 --> 00:14:14,440 Speaker 3: Miss this? 278 00:14:14,880 --> 00:14:19,760 Speaker 2: I did see that, and I think I mean, it's 279 00:14:19,800 --> 00:14:24,000 Speaker 2: sort of interesting because on you have Mark Zuckerberg donating 280 00:14:24,040 --> 00:14:28,400 Speaker 2: money to Trump. You have an actual potentially a Dayton 281 00:14:28,760 --> 00:14:32,480 Speaker 2: between Zuckerberg and Elon. You know, the original feud actually 282 00:14:32,480 --> 00:14:35,160 Speaker 2: seems to be cooling a little bit. They're both sort 283 00:14:35,160 --> 00:14:38,400 Speaker 2: of on team Trump. They seem somewhat aligned on a 284 00:14:38,480 --> 00:14:41,720 Speaker 2: number of issues, including the need to slow down the 285 00:14:41,840 --> 00:14:44,080 Speaker 2: market leader in AI with Zuckerberg of course, has a 286 00:14:44,080 --> 00:14:47,600 Speaker 2: big AI effort, and also around TikTok. Oh, actually I'm 287 00:14:47,640 --> 00:14:49,800 Speaker 2: wrong about that, not around TikTok because Zuckerberg wol want 288 00:14:49,800 --> 00:14:51,320 Speaker 2: to ban it and Elon has said that. 289 00:14:51,680 --> 00:14:53,360 Speaker 3: But the mind is, if we get a cage match 290 00:14:53,400 --> 00:14:56,400 Speaker 3: coming and Zuckerberg's in the ring and Muska is in 291 00:14:56,440 --> 00:15:00,240 Speaker 3: the ring, they are partner tag team partners rather then 292 00:15:00,640 --> 00:15:02,280 Speaker 3: grappling against one another. 293 00:15:02,400 --> 00:15:05,040 Speaker 1: The enemy of the enemy is my friend, so Mark, 294 00:15:05,160 --> 00:15:06,520 Speaker 1: and we got. 295 00:15:06,480 --> 00:15:08,960 Speaker 3: Zuckerberg and Musk now on one side, we just need 296 00:15:08,960 --> 00:15:10,640 Speaker 3: two other people for them to wrestle. 297 00:15:10,880 --> 00:15:12,240 Speaker 4: I team partner for Sam Alman. 298 00:15:13,320 --> 00:15:17,640 Speaker 3: Yeah, someone preferably a little bit larger than listeners. 299 00:15:17,640 --> 00:15:20,400 Speaker 4: Elon Ink at Bloomberg dot net. Send us your ideas 300 00:15:20,640 --> 00:15:22,240 Speaker 4: and we will consider. 301 00:15:21,840 --> 00:15:29,800 Speaker 3: To be Sam Altman's tag team partner. Okay, We're now 302 00:15:29,920 --> 00:15:33,520 Speaker 3: joined by Lauren Grush, who covers all things space for 303 00:15:33,600 --> 00:15:37,000 Speaker 3: us here at Bloomberg. Hey, Lauren, Hi, guys. Okay, Lauren, 304 00:15:37,160 --> 00:15:40,240 Speaker 3: real simple question to get us started here. Tell us 305 00:15:40,600 --> 00:15:42,440 Speaker 3: who is Jared Isaacman. 306 00:15:43,240 --> 00:15:48,320 Speaker 5: Yeah, Jared has become something of a really interesting figure 307 00:15:48,600 --> 00:15:53,040 Speaker 5: in both the space world and the SpaceX world. So 308 00:15:53,720 --> 00:15:56,920 Speaker 5: prior to twenty twenty one, I had no idea who 309 00:15:56,960 --> 00:15:59,680 Speaker 5: he was, and now I know him quite well, or 310 00:15:59,680 --> 00:16:02,440 Speaker 5: at least know of him quite well. He's a billionaire. 311 00:16:02,600 --> 00:16:05,680 Speaker 5: He's the founder of Shift for payments, which you might 312 00:16:05,760 --> 00:16:09,440 Speaker 5: recognize when you were swiping your credit card at various 313 00:16:09,480 --> 00:16:14,280 Speaker 5: restaurants or buying gifts. It's a payment liaison system. And 314 00:16:14,680 --> 00:16:18,320 Speaker 5: when he took his company public, he became a billionaire 315 00:16:18,520 --> 00:16:23,200 Speaker 5: and decided he wanted to invest in SpaceX, and so 316 00:16:23,240 --> 00:16:26,960 Speaker 5: he called them up and he floated the idea of actually, 317 00:16:27,240 --> 00:16:29,440 Speaker 5: you know, flying on one of their rockets one day, 318 00:16:29,600 --> 00:16:32,560 Speaker 5: and then that kind of snowballed, and all of a sudden, 319 00:16:32,720 --> 00:16:35,960 Speaker 5: he had booked an entire flight for him and three 320 00:16:36,000 --> 00:16:40,880 Speaker 5: other people on a SpaceX Dragon and became the first 321 00:16:41,360 --> 00:16:45,880 Speaker 5: to fly the an all civilian crew to orbit. And 322 00:16:46,120 --> 00:16:49,800 Speaker 5: ever since then he's become something of a central figure 323 00:16:50,040 --> 00:16:56,000 Speaker 5: at SpaceX, where he kind of serves as this financial accelerator, 324 00:16:56,080 --> 00:17:00,480 Speaker 5: if you will, because he funded this program called LARIS, 325 00:17:00,520 --> 00:17:04,480 Speaker 5: which is a research and development program where they try 326 00:17:04,480 --> 00:17:08,879 Speaker 5: to advance human spaceflight at SpaceX, and they flew the 327 00:17:08,880 --> 00:17:13,120 Speaker 5: first of those missions this year, called Polaris Dawn. And 328 00:17:13,160 --> 00:17:15,520 Speaker 5: you might have seen that he was the first to 329 00:17:15,640 --> 00:17:21,359 Speaker 5: perform a commercial spacewalk in newly designed SpaceX spacesuits. So 330 00:17:21,960 --> 00:17:27,000 Speaker 5: Jared's definitely become intric you know, intimately involved with SpaceX 331 00:17:27,040 --> 00:17:28,840 Speaker 5: in some very interesting ways. 332 00:17:29,240 --> 00:17:32,440 Speaker 3: How shocking was it for you when you saw Trump 333 00:17:32,640 --> 00:17:36,520 Speaker 3: pick him to lead NASA going forward? I mean from Afar, 334 00:17:36,840 --> 00:17:39,760 Speaker 3: I think the way it struck me and perhaps others is, man, 335 00:17:39,840 --> 00:17:43,560 Speaker 3: this really feels like it's got Elon's fingerprints written all 336 00:17:43,600 --> 00:17:44,360 Speaker 3: over at this pick. 337 00:17:44,600 --> 00:17:50,000 Speaker 5: Oh yeah. I definitely was a little surprised. I had 338 00:17:50,080 --> 00:17:54,240 Speaker 5: heard his name from like an offhand source was like, 339 00:17:54,320 --> 00:17:57,399 Speaker 5: maybe him, and I was like, I don't think so. 340 00:17:57,720 --> 00:18:00,840 Speaker 5: Because of that research and development program. I was telling 341 00:18:00,840 --> 00:18:05,280 Speaker 5: you about the Polaris program. It actually constitutes three flights. 342 00:18:05,560 --> 00:18:08,960 Speaker 5: So the Polaris Dawn flight was just the first and 343 00:18:09,000 --> 00:18:11,200 Speaker 5: the third one is going to culminate with the first 344 00:18:11,480 --> 00:18:15,320 Speaker 5: crude flight of Starship. And from my understanding, Jared wants 345 00:18:15,400 --> 00:18:17,720 Speaker 5: to be on those flights. I mean, he hasn't said 346 00:18:17,720 --> 00:18:18,760 Speaker 5: I don't think they right. 347 00:18:18,880 --> 00:18:20,600 Speaker 3: So the head of the head of NASA is going 348 00:18:20,680 --> 00:18:23,119 Speaker 3: to be going up into space. That's kind of cool. 349 00:18:23,400 --> 00:18:26,560 Speaker 5: I mean, we can get into that. I'm he recently 350 00:18:26,600 --> 00:18:28,560 Speaker 5: said that Polaris might be on a bit of a 351 00:18:28,600 --> 00:18:30,840 Speaker 5: pause at the moment while we figure all this out. 352 00:18:31,280 --> 00:18:34,600 Speaker 5: But I did wonder, you know, could the NASA administrator 353 00:18:34,680 --> 00:18:35,479 Speaker 5: go into space? 354 00:18:35,760 --> 00:18:37,480 Speaker 3: While I likely mac this is going to be a 355 00:18:37,480 --> 00:18:39,680 Speaker 3: new president. If you're going to run NASA, you got 356 00:18:39,680 --> 00:18:40,800 Speaker 3: to get up there yourself. 357 00:18:41,119 --> 00:18:43,840 Speaker 4: Objectively cool, I think we can all agree. 358 00:18:44,160 --> 00:18:45,240 Speaker 5: I don't think it's going to happen. 359 00:18:45,320 --> 00:18:47,760 Speaker 2: It would be even cooler if Trump himself would go 360 00:18:47,880 --> 00:18:50,080 Speaker 2: up there too, But I think it's like the next 361 00:18:50,119 --> 00:18:52,679 Speaker 2: best thing. But I feel like, you know, we've been 362 00:18:52,720 --> 00:18:55,959 Speaker 2: talking about these kind of appointments that Elon Musk has 363 00:18:55,960 --> 00:18:58,160 Speaker 2: had a hand in, and this one looks like you 364 00:18:58,400 --> 00:19:01,480 Speaker 2: and Lauren are saying out of the box, Elon Musk, 365 00:19:01,640 --> 00:19:04,480 Speaker 2: this is this is my guy. I mean I I looked, 366 00:19:04,920 --> 00:19:07,399 Speaker 2: and I do think you can make a pretty an 367 00:19:07,440 --> 00:19:10,040 Speaker 2: interesting case for his qualifications. Right, he's not tradition, he's 368 00:19:10,040 --> 00:19:13,560 Speaker 2: not conventionally qualified, but he does seem like he's qualified 369 00:19:13,880 --> 00:19:16,960 Speaker 2: in other ways, right as somebody who's who actually has 370 00:19:17,200 --> 00:19:21,000 Speaker 2: had experience in business, who has who knows the private industry. 371 00:19:21,320 --> 00:19:23,480 Speaker 2: But it really does feel like a big point against 372 00:19:23,560 --> 00:19:27,040 Speaker 2: him is he's like hopelessly conflicted. I mean, he this guy, 373 00:19:27,240 --> 00:19:30,280 Speaker 2: he is pretty much an investor. Now, maybe not a 374 00:19:30,320 --> 00:19:33,679 Speaker 2: profit motivated investor, but like an investor in SpaceX. I 375 00:19:33,680 --> 00:19:37,000 Speaker 2: don't know how other companies there. It's gonna it's gonna 376 00:19:37,000 --> 00:19:38,280 Speaker 2: be very easy for them to argue that they're not 377 00:19:38,280 --> 00:19:39,000 Speaker 2: going to get a fair. 378 00:19:39,040 --> 00:19:44,879 Speaker 3: So Lauren has do we actually know beyond putting up 379 00:19:44,960 --> 00:19:49,080 Speaker 3: financing for that Polaris program, is he an equity investor 380 00:19:49,160 --> 00:19:51,439 Speaker 3: in SpaceX? And if so, do we know if he 381 00:19:51,560 --> 00:19:54,600 Speaker 3: plans to divest and get out of that position? 382 00:19:55,600 --> 00:19:58,240 Speaker 5: I asked and did not get a response. I mean, 383 00:19:58,240 --> 00:20:02,960 Speaker 5: he's definitely invested his money into these programs. Whether or 384 00:20:02,960 --> 00:20:06,119 Speaker 5: not he holds shares, I think is still an open question. 385 00:20:06,600 --> 00:20:10,320 Speaker 5: But presumably if he did. You know, we've had NASA 386 00:20:10,320 --> 00:20:17,520 Speaker 5: administrators who've held stock before in contractors that NASA employees 387 00:20:17,680 --> 00:20:20,080 Speaker 5: or you know, does business with, and they've had to 388 00:20:20,119 --> 00:20:25,560 Speaker 5: divest those shares. So presumably if he did have SpaceX shares, 389 00:20:25,600 --> 00:20:29,359 Speaker 5: he would divest them when it comes to the conflict 390 00:20:29,400 --> 00:20:31,960 Speaker 5: of interest. You know, that was kind of my biggest 391 00:20:32,000 --> 00:20:35,119 Speaker 5: thought when I first heard it. You know, I talked 392 00:20:35,119 --> 00:20:38,639 Speaker 5: with Lori Garver, who was the former deputy administrator for 393 00:20:38,800 --> 00:20:42,080 Speaker 5: NASA under Obama and She talked about how they were 394 00:20:42,440 --> 00:20:47,480 Speaker 5: very cognizant of trying to maintain a separation between the 395 00:20:47,520 --> 00:20:52,119 Speaker 5: political side versus the contracting and the procurement side of things. 396 00:20:52,400 --> 00:20:54,159 Speaker 5: She said that they went so far as to not 397 00:20:54,200 --> 00:20:58,080 Speaker 5: even be briefed on decisions that were, you know, being 398 00:20:58,080 --> 00:21:01,160 Speaker 5: made about contracting, just to make sure that there wasn't 399 00:21:01,200 --> 00:21:04,679 Speaker 5: even an, you know, optically a thought that they were 400 00:21:04,760 --> 00:21:07,600 Speaker 5: kind of putting their their finger on the scale whether 401 00:21:07,720 --> 00:21:10,800 Speaker 5: or not that is, you know, an enforceable thing they 402 00:21:10,840 --> 00:21:12,040 Speaker 5: can do, you know. 403 00:21:12,400 --> 00:21:13,200 Speaker 2: I don't. 404 00:21:13,440 --> 00:21:16,119 Speaker 5: I don't know, but I think I think the question 405 00:21:16,240 --> 00:21:20,840 Speaker 5: is fair that the perceived favoritism is what he's going 406 00:21:20,880 --> 00:21:23,880 Speaker 5: to be up against when he takes takes the role. 407 00:21:24,080 --> 00:21:26,280 Speaker 1: But Lari Garbo was kind of excited about him as 408 00:21:26,280 --> 00:21:29,960 Speaker 1: the pick, right, aren't people within come Yeah, commercial Space 409 00:21:30,200 --> 00:21:35,560 Speaker 1: super like jazz about about Isaacman being nominated? I mean, 410 00:21:35,560 --> 00:21:38,480 Speaker 1: and is there any real opposition to him on Capitol Hill? 411 00:21:39,320 --> 00:21:41,639 Speaker 5: I should I should be clear. I think a lot 412 00:21:41,720 --> 00:21:44,560 Speaker 5: of people are excited about him. He comes with a 413 00:21:44,880 --> 00:21:49,120 Speaker 5: very commercial space friendly mindset. I don't think it's necessarily 414 00:21:49,400 --> 00:21:51,679 Speaker 5: that he's going to be all in on SpaceX. I 415 00:21:51,720 --> 00:21:56,080 Speaker 5: think he what he likes is the way SpaceX operates 416 00:21:56,119 --> 00:21:58,439 Speaker 5: and the fact that they move so quickly and that 417 00:21:58,520 --> 00:22:01,720 Speaker 5: they try to you know, be more efficient and cut 418 00:22:01,760 --> 00:22:04,600 Speaker 5: costs and lower the price of getting to space. What 419 00:22:04,720 --> 00:22:10,720 Speaker 5: he very much does not like is the slow, unmotivated contractors. 420 00:22:11,200 --> 00:22:13,919 Speaker 5: You know, these are you know, his opinions that you know, 421 00:22:14,119 --> 00:22:17,560 Speaker 5: rely on cost plus contracts that don't seem to have 422 00:22:17,640 --> 00:22:22,240 Speaker 5: much incentive to move quickly, are constantly delayed and late. 423 00:22:22,880 --> 00:22:25,480 Speaker 5: And I shall say, you know, SpaceX also is late, 424 00:22:25,560 --> 00:22:29,560 Speaker 5: but comparatively, they do move more quickly than their rivals. 425 00:22:29,760 --> 00:22:32,800 Speaker 5: And so he's very clear that he doesn't like this 426 00:22:32,880 --> 00:22:35,280 Speaker 5: old way of doing business that NASA is very used 427 00:22:35,320 --> 00:22:39,959 Speaker 5: to and very much embraces, you know, the government getting 428 00:22:40,320 --> 00:22:42,720 Speaker 5: more bang for its buck when it's working with these 429 00:22:42,800 --> 00:22:45,080 Speaker 5: private companies. And I think a lot of people are 430 00:22:45,119 --> 00:22:46,840 Speaker 5: really excited about or in the. 431 00:22:46,760 --> 00:22:48,600 Speaker 3: Piece you had on him the other day, which was 432 00:22:48,680 --> 00:22:53,119 Speaker 3: quite good, you noted how he publicly ISAA mean. Isaacman 433 00:22:53,200 --> 00:22:56,320 Speaker 3: doesn't say all that much about Musk, but he has made, 434 00:22:56,600 --> 00:23:00,600 Speaker 3: as you're alluding to here, comments about some SpaceX big rivals. 435 00:23:00,640 --> 00:23:03,280 Speaker 3: He's had issues with some of the ways you know, 436 00:23:03,320 --> 00:23:06,719 Speaker 3: Boeing's doing things and even Bezos's Blue Origin. But then 437 00:23:06,800 --> 00:23:09,160 Speaker 3: he gave a quote the other day that I thought 438 00:23:09,200 --> 00:23:14,119 Speaker 3: was really interesting about how he views competition and whether 439 00:23:14,160 --> 00:23:17,399 Speaker 3: he will treat SpaceX favorably. And the quote was, I 440 00:23:17,480 --> 00:23:21,439 Speaker 3: don't want SpaceX to ever give up the edge, and 441 00:23:21,480 --> 00:23:23,680 Speaker 3: the only way they're going to keep that edge sharp 442 00:23:23,800 --> 00:23:27,680 Speaker 3: is by feeling like somebody is coming up right behind them. 443 00:23:28,240 --> 00:23:30,680 Speaker 3: So he at least is saying here to us like, hey, 444 00:23:31,280 --> 00:23:34,800 Speaker 3: I'm going to try to keep all the biggest players 445 00:23:35,000 --> 00:23:37,400 Speaker 3: in the game. Yeah. 446 00:23:37,800 --> 00:23:41,560 Speaker 5: Yeah, And I think that's a noble sentiment that he expressed. 447 00:23:42,160 --> 00:23:45,280 Speaker 5: But the problem is, I'm not sure it's really based 448 00:23:46,040 --> 00:23:49,639 Speaker 5: in reality in the sense that, yes, I think everybody 449 00:23:49,680 --> 00:23:55,040 Speaker 5: wants there to be competition with SpaceX, real competition with SpaceX. 450 00:23:55,240 --> 00:23:58,640 Speaker 5: The problem just is there isn't. Really, there's no one 451 00:23:58,680 --> 00:24:01,800 Speaker 5: that's on their level right now. There just isn't. And 452 00:24:02,640 --> 00:24:06,040 Speaker 5: maybe Blue Origin will catch up, maybe ULA will get 453 00:24:06,080 --> 00:24:09,639 Speaker 5: its act together and start launching more frequently, but the 454 00:24:10,080 --> 00:24:12,800 Speaker 5: issue just is that there is no one comparable at 455 00:24:12,840 --> 00:24:15,600 Speaker 5: the moment, and so if we are going to be 456 00:24:16,119 --> 00:24:21,399 Speaker 5: redirecting resources to go with the more efficient company, I 457 00:24:21,400 --> 00:24:23,560 Speaker 5: mean it's safe to assume those contracts are going to 458 00:24:23,600 --> 00:24:28,200 Speaker 5: go to SpaceX, so, you know, I think it's nice 459 00:24:28,240 --> 00:24:30,560 Speaker 5: to say that. And you know, Gwyn Shotwells. 460 00:24:30,119 --> 00:24:32,600 Speaker 3: Actually asked this of the head of SAX. 461 00:24:32,760 --> 00:24:36,760 Speaker 5: Yeah, sorry, President and CEO was asked, you know, about competition, 462 00:24:36,880 --> 00:24:39,479 Speaker 5: and she even openly admitted she's I think it's going 463 00:24:39,560 --> 00:24:42,000 Speaker 5: to be really hard to catch us on launch because 464 00:24:42,000 --> 00:24:45,680 Speaker 5: they are just the by by far, the most prolific 465 00:24:45,760 --> 00:24:50,520 Speaker 5: launch provider right now, and developing rockets is really tough, 466 00:24:50,760 --> 00:24:54,200 Speaker 5: and it's SpaceX kind of leads the charge. I mean, 467 00:24:54,400 --> 00:24:57,880 Speaker 5: they could probably you know, undercut other people's prices at 468 00:24:57,880 --> 00:25:00,480 Speaker 5: this point, making it you know, more desire to go 469 00:25:00,520 --> 00:25:02,119 Speaker 5: at them. So I think it's just going to be 470 00:25:02,160 --> 00:25:06,680 Speaker 5: a really tough for someone to be a comparable competitor 471 00:25:07,040 --> 00:25:08,040 Speaker 5: that you have others. 472 00:25:08,440 --> 00:25:11,760 Speaker 3: Very good, Lauren, Well listen, assuming mister Isaacman takes over there. 473 00:25:11,920 --> 00:25:13,760 Speaker 3: You will be back on soon to let us know 474 00:25:13,800 --> 00:25:16,199 Speaker 3: how that's going. And in the meantime, happy holidays to you. 475 00:25:16,480 --> 00:25:17,480 Speaker 5: Thank you as well. 476 00:25:21,720 --> 00:25:24,560 Speaker 3: Now, Dana, you snuck out on us this morning a 477 00:25:24,640 --> 00:25:30,000 Speaker 3: fascinating little piece about a preschool that Elon is building. 478 00:25:30,040 --> 00:25:30,720 Speaker 3: Tell us about it. 479 00:25:31,119 --> 00:25:34,159 Speaker 1: Yeah, So I guess the big picture is you know, 480 00:25:34,200 --> 00:25:36,879 Speaker 1: Elon Musk is a man of many interests. We focus 481 00:25:36,880 --> 00:25:39,800 Speaker 1: here at Elon Inc. On his companies and his ascendant 482 00:25:39,840 --> 00:25:43,359 Speaker 1: political empire, but he's also quite interested in education. In 483 00:25:43,400 --> 00:25:45,520 Speaker 1: the early days of SpaceX, they had a kind of 484 00:25:45,960 --> 00:25:49,439 Speaker 1: quasi private school running within SpaceX called at Astra that 485 00:25:49,560 --> 00:25:53,359 Speaker 1: his older children went to. When the pandemic happened, that 486 00:25:53,359 --> 00:25:56,000 Speaker 1: that school kind of wound down. But now that SpaceX 487 00:25:56,080 --> 00:25:58,439 Speaker 1: is sort of building out US facilities in Texas and 488 00:25:58,480 --> 00:26:01,840 Speaker 1: Elon has all these companies in Bastrip outside of Austin, 489 00:26:02,280 --> 00:26:05,720 Speaker 1: he is yet again building a Montessori based preschool called 490 00:26:05,800 --> 00:26:09,400 Speaker 1: at Astra, and it's pretty close to completion. I got 491 00:26:09,480 --> 00:26:13,320 Speaker 1: some records from the Texas state agency that regulates childcare facilities. 492 00:26:13,520 --> 00:26:15,600 Speaker 1: There's all this back and forth. They've got the permit, 493 00:26:16,200 --> 00:26:19,000 Speaker 1: and it's not clear to me whether this school is 494 00:26:19,080 --> 00:26:21,600 Speaker 1: open to the general public or whether it's primarily for 495 00:26:21,680 --> 00:26:25,280 Speaker 1: the children of either Elon himself or his employees. It 496 00:26:25,280 --> 00:26:28,199 Speaker 1: seems likely that it's in his employees. But this is 497 00:26:28,240 --> 00:26:30,400 Speaker 1: just a reminder that this guy has a lot of interests. 498 00:26:30,520 --> 00:26:33,920 Speaker 1: Education is clearly one of them. And the other thing 499 00:26:33,960 --> 00:26:35,719 Speaker 1: that is fascinating to me is that if you look 500 00:26:35,760 --> 00:26:39,040 Speaker 1: at his political Action Committee, the vast majority of the 501 00:26:39,040 --> 00:26:41,840 Speaker 1: money was donated by Elon himself, but it also got 502 00:26:41,840 --> 00:26:46,359 Speaker 1: outside donations, including from Betsy Devas, the former Education secretary, 503 00:26:46,800 --> 00:26:49,400 Speaker 1: and some of her relatives, and so there's some kind 504 00:26:49,400 --> 00:26:52,480 Speaker 1: of Betsy Devas Elon Musk alignment around education. 505 00:26:52,920 --> 00:26:57,160 Speaker 3: Danna remind me and the rest of the uninitiated out there, 506 00:26:57,160 --> 00:27:00,879 Speaker 3: what makes a Montessori school a Montessori school A and B? 507 00:27:01,480 --> 00:27:02,840 Speaker 3: Why the name at astra? 508 00:27:04,040 --> 00:27:06,880 Speaker 1: So I'm personally a big fan of Montessori. My own 509 00:27:07,040 --> 00:27:09,520 Speaker 1: kid went to a Montsauri elementary school, and it's a 510 00:27:09,520 --> 00:27:13,040 Speaker 1: philosophy named after Maria Montessori, the Italian kind of educator 511 00:27:13,240 --> 00:27:17,240 Speaker 1: and innovator. And the big thing is multiage classrooms, the 512 00:27:17,280 --> 00:27:21,280 Speaker 1: ideas that children learn best from their peers and the teachers. 513 00:27:21,760 --> 00:27:23,560 Speaker 1: It's not like the teacher standing in front of the 514 00:27:23,680 --> 00:27:26,840 Speaker 1: room lecturing like the kids. It's very play based. The 515 00:27:26,920 --> 00:27:29,400 Speaker 1: kids learned from each other, the teachers there more as 516 00:27:29,440 --> 00:27:33,280 Speaker 1: a guide and it's all the rage and Maria Montesssori 517 00:27:33,359 --> 00:27:35,760 Speaker 1: kind of developed this philosophy in the era between World 518 00:27:35,760 --> 00:27:37,520 Speaker 1: War One and wor Warshio and Italy. But now there 519 00:27:37,560 --> 00:27:41,560 Speaker 1: are Montessori preschools all over the United States, hugely popular 520 00:27:41,600 --> 00:27:45,200 Speaker 1: in the tech world. Larry Ellison basically has a Montessori 521 00:27:45,200 --> 00:27:48,480 Speaker 1: preschool on the island of Lunai, and Elon has hired 522 00:27:48,520 --> 00:27:53,639 Speaker 1: the same private educational company that helps to run Larry's 523 00:27:53,720 --> 00:27:58,560 Speaker 1: preschool to help run his in Texas. At Astra means 524 00:27:58,600 --> 00:27:59,760 Speaker 1: to the stars in Latin. 525 00:28:00,640 --> 00:28:04,240 Speaker 2: I have so many questions here, Okay, so Elon Musk 526 00:28:04,280 --> 00:28:06,359 Speaker 2: and Dani correct me if I'm wrong. He has put 527 00:28:06,480 --> 00:28:09,679 Speaker 2: a ton of money into the foundation that is building 528 00:28:09,680 --> 00:28:13,720 Speaker 2: this thing, right, more like more than one hundred million dollars, more. 529 00:28:13,680 --> 00:28:15,560 Speaker 1: Than one hundred million dollars. Yeah, and he wants to 530 00:28:15,560 --> 00:28:17,200 Speaker 1: build a university at some point too. 531 00:28:17,320 --> 00:28:20,959 Speaker 2: So okay, I'm just seeing like a very large gap 532 00:28:21,040 --> 00:28:24,760 Speaker 2: between the one hundred million dollars and the like one teacher, 533 00:28:25,040 --> 00:28:26,240 Speaker 2: one assistant teacher. 534 00:28:26,920 --> 00:28:28,320 Speaker 3: Maybe this is just step one. 535 00:28:28,560 --> 00:28:31,000 Speaker 2: Well yeah, but I get My point is this does 536 00:28:31,040 --> 00:28:35,800 Speaker 2: not feel like the most serious effort, and I think that, 537 00:28:36,000 --> 00:28:37,920 Speaker 2: of course, I think part of why this is happening 538 00:28:38,720 --> 00:28:42,200 Speaker 2: is because Elon Musk, as Dana says, actually has real 539 00:28:42,240 --> 00:28:45,560 Speaker 2: ideas here. He's done this once before. He definitely we 540 00:28:45,600 --> 00:28:49,120 Speaker 2: know from following him, you know, has very strong ideas 541 00:28:49,120 --> 00:28:51,440 Speaker 2: about the failings of you know, kind of like the 542 00:28:51,480 --> 00:28:54,880 Speaker 2: modern education system or whatever. But also he has this 543 00:28:55,000 --> 00:28:59,480 Speaker 2: gigantic foundation that has to give away five percent of 544 00:28:59,520 --> 00:29:02,320 Speaker 2: its money every year, and that amount of money has 545 00:29:02,360 --> 00:29:04,720 Speaker 2: gone up quite a lot. So it's like it seems 546 00:29:04,760 --> 00:29:07,200 Speaker 2: like part of what's going on is there's an interest. 547 00:29:07,240 --> 00:29:10,320 Speaker 2: The other part is he needs to do something with 548 00:29:10,400 --> 00:29:13,400 Speaker 2: this money which is just in Tesla stock that keeps appreciating. 549 00:29:13,800 --> 00:29:16,280 Speaker 2: And it just doesn't seem they've thought that hard about this. 550 00:29:16,360 --> 00:29:18,560 Speaker 2: If you're telling me he wants to remake the education 551 00:29:18,680 --> 00:29:21,920 Speaker 2: system and then also he's going for the number one 552 00:29:22,040 --> 00:29:25,080 Speaker 2: fad in childhood education, doesn't it seem I don't know, Like, 553 00:29:25,120 --> 00:29:28,480 Speaker 2: isn't he supposed to be like dewokeifying the schools? Like 554 00:29:28,520 --> 00:29:30,920 Speaker 2: reading dan As story, I'm seeing a lot of play 555 00:29:31,000 --> 00:29:32,000 Speaker 2: you know, play base. 556 00:29:32,320 --> 00:29:32,719 Speaker 3: I don't know. 557 00:29:32,760 --> 00:29:36,760 Speaker 2: It sounds a little sounds a little uh progressive to me. 558 00:29:37,040 --> 00:29:39,960 Speaker 1: So to David's point, I think that the preschool's step 559 00:29:40,120 --> 00:29:42,200 Speaker 1: the preschool is step one. Step two is he's going 560 00:29:42,280 --> 00:29:45,480 Speaker 1: to build a university also in Texas, and we just 561 00:29:45,520 --> 00:29:48,960 Speaker 1: haven't seen, we haven't seen like exactly how that's going 562 00:29:49,040 --> 00:29:52,200 Speaker 1: to take take shape. But he's got to two projects. 563 00:29:52,240 --> 00:29:55,680 Speaker 1: There's the Musk Foundation, and the Musk Foundation has given 564 00:29:55,800 --> 00:29:58,880 Speaker 1: money to the other project, which is called the Foundation, 565 00:29:59,520 --> 00:30:02,440 Speaker 1: and the the Foundation is all about schooling. He was 566 00:30:02,480 --> 00:30:05,480 Speaker 1: gonna do preschool through college, and I think this preschool 567 00:30:05,480 --> 00:30:07,640 Speaker 1: and batch strip is step one. There's also another at 568 00:30:07,680 --> 00:30:11,040 Speaker 1: Astra that's being built near Brownsville that also seems to 569 00:30:11,040 --> 00:30:13,960 Speaker 1: be a daycare facility, maybe for SpaceX workers down there. 570 00:30:14,080 --> 00:30:15,720 Speaker 1: And then yeah, I think at some point we'll see 571 00:30:15,720 --> 00:30:19,080 Speaker 1: a K twelve school take shape and then eventually a university. 572 00:30:19,120 --> 00:30:21,800 Speaker 1: And all this is happening in parallel with Musk's own 573 00:30:21,880 --> 00:30:24,120 Speaker 1: children as they start to age. And then you know 574 00:30:24,160 --> 00:30:27,080 Speaker 1: a lot of people in Musk's orbit also have young 575 00:30:27,160 --> 00:30:28,880 Speaker 1: kids and so and there are. 576 00:30:28,800 --> 00:30:31,800 Speaker 3: A lot of Musk children. Yeah, the man alone, the 577 00:30:31,880 --> 00:30:35,320 Speaker 3: Musk family alone, You could fill up at Astra easy, 578 00:30:35,600 --> 00:30:36,800 Speaker 3: just with the Musk kids. Yeah. 579 00:30:36,920 --> 00:30:39,680 Speaker 4: No, no, you need a pretty big building at this point. 580 00:30:39,920 --> 00:30:44,520 Speaker 3: Okay, well, very good. It's one to walk for us there, Dana. 581 00:30:47,040 --> 00:30:49,760 Speaker 3: So Max, we're gonna we're gonna wrap every so briefly here. 582 00:30:49,840 --> 00:30:52,120 Speaker 3: We're going to dig into the mail bag because we 583 00:30:52,280 --> 00:30:56,280 Speaker 3: got another bumper sticker idea that we kind of thought 584 00:30:56,640 --> 00:30:58,360 Speaker 3: was at least I did. I don't know about you. 585 00:30:58,560 --> 00:30:59,760 Speaker 4: I think we haven't seen this. 586 00:31:00,800 --> 00:31:04,800 Speaker 3: That's going to be a reparation surprise. Okay. So Melicia, 587 00:31:05,000 --> 00:31:08,320 Speaker 3: a listener in Pennsylvania, wrote in to say that she 588 00:31:08,440 --> 00:31:14,800 Speaker 3: has apparently created and put on her modeless a couple 589 00:31:14,880 --> 00:31:17,960 Speaker 3: of stickers, and these are These are the two stickers. 590 00:31:18,120 --> 00:31:22,440 Speaker 3: The first one is I thought Nicola made it. She's 591 00:31:22,480 --> 00:31:26,720 Speaker 3: pretty good. And then the second one, I don't know where. 592 00:31:26,720 --> 00:31:28,360 Speaker 3: I don't know by the way I'm the bumper. I'm 593 00:31:28,400 --> 00:31:30,960 Speaker 3: not exactly sure where each is going. It's not entirely 594 00:31:30,960 --> 00:31:33,400 Speaker 3: clear to me. But the second one says, make this 595 00:31:33,560 --> 00:31:35,200 Speaker 3: car not embarrassing again. 596 00:31:35,960 --> 00:31:38,120 Speaker 4: So wow, I love. 597 00:31:38,160 --> 00:31:40,800 Speaker 2: It could be confusing to people who are aware that 598 00:31:40,840 --> 00:31:43,200 Speaker 2: there's a company called Nikola that has had something of 599 00:31:43,240 --> 00:31:47,960 Speaker 2: a bumpy road but very very clever Nikola Tesla. Of course, 600 00:31:48,240 --> 00:31:51,960 Speaker 2: that the person who Tesla is named after, but not folks, Melissa, 601 00:31:52,040 --> 00:31:55,440 Speaker 2: I'm sorry, Nikola Tesla did not design the Tesla. 602 00:31:56,120 --> 00:32:00,520 Speaker 3: She's going to be disappointed, Well, she apparently is disappointed. 603 00:32:00,560 --> 00:32:01,320 Speaker 3: It has been for a while. 604 00:32:01,320 --> 00:32:03,800 Speaker 2: But that's a great bumper sticker. Little what I got 605 00:32:03,920 --> 00:32:06,200 Speaker 2: to say, make this car not embarrassing again. That is 606 00:32:06,280 --> 00:32:10,080 Speaker 2: that's that's pretty clever. I haven't seen that before. You know, 607 00:32:10,120 --> 00:32:13,560 Speaker 2: we've seen iterations on that, but the the kind of 608 00:32:13,680 --> 00:32:16,280 Speaker 2: use of the Trump slogan, you know, that's Melissa, I 609 00:32:16,320 --> 00:32:17,960 Speaker 2: think you might be honest with you just onto something. 610 00:32:18,200 --> 00:32:20,680 Speaker 3: I think that one could potentially take off. We are 611 00:32:20,760 --> 00:32:25,640 Speaker 3: still waiting, by the way, for Elon Inc. Bumper sticker ideas. 612 00:32:25,640 --> 00:32:27,719 Speaker 3: I mean, in the meantime as we wait for them. 613 00:32:27,760 --> 00:32:31,200 Speaker 3: The placeholder one I've come up with max for now, 614 00:32:31,360 --> 00:32:33,560 Speaker 3: and this isn't quite it, but I think some iteration 615 00:32:33,640 --> 00:32:35,440 Speaker 3: of this might be. Okay, we got we have to 616 00:32:35,520 --> 00:32:39,040 Speaker 3: ruminate on. This is in support of the pod. 617 00:32:39,560 --> 00:32:41,480 Speaker 2: I feel like we need to get those printed and 618 00:32:41,520 --> 00:32:43,320 Speaker 2: then anyone who sends in a bumper. 619 00:32:43,040 --> 00:32:44,600 Speaker 4: Sticker idea, we will. 620 00:32:44,840 --> 00:32:48,520 Speaker 2: We will send you a bumper sticker with our name 621 00:32:48,560 --> 00:32:50,000 Speaker 2: on it to promote our podcast. 622 00:32:50,200 --> 00:32:51,920 Speaker 3: Right, but we gotta we gotta keep working on that. 623 00:32:51,920 --> 00:32:53,400 Speaker 3: That's gonna come. Oh and by the way, the other 624 00:32:53,440 --> 00:32:55,960 Speaker 3: thing to send in, if you might be so kind 625 00:32:56,120 --> 00:33:00,000 Speaker 3: to Elon incoplenberg dot net is just more feud ideas. 626 00:33:00,160 --> 00:33:04,000 Speaker 2: Is I'm open to all feuds they can be having 627 00:33:04,040 --> 00:33:06,600 Speaker 2: to do with Doge, they can have to do with companies. 628 00:33:06,880 --> 00:33:08,960 Speaker 2: They can even have to do with Elon Musk and 629 00:33:09,000 --> 00:33:11,040 Speaker 2: other fictional characters or in fictional characters. 630 00:33:11,080 --> 00:33:13,400 Speaker 3: I'll take it off and bumper stickers. 631 00:33:13,520 --> 00:33:16,240 Speaker 2: Yeah, Max, Elon inink at Bloomberg Dotet. 632 00:33:17,800 --> 00:33:22,120 Speaker 3: I got it excellent, Max, Dana, thanks as always, thanks 633 00:33:22,160 --> 00:33:22,720 Speaker 3: for having us. 634 00:33:22,800 --> 00:33:23,160 Speaker 4: Thank you. 635 00:33:29,640 --> 00:33:32,800 Speaker 3: This episode was produced by Stacy Wong. Anna Musa Rakus 636 00:33:32,880 --> 00:33:35,719 Speaker 3: is our editor and Rayhan Harmanci is our senior editor. 637 00:33:36,040 --> 00:33:39,400 Speaker 3: The idea for this very show also came from Rayhan 638 00:33:39,880 --> 00:33:43,520 Speaker 3: Blake Maple's Handles Engineering and Emma Sanchez fact checks. Our 639 00:33:43,680 --> 00:33:47,720 Speaker 3: supervising producer is Magnus Hendrickson. The Elon Inc. Theme is 640 00:33:47,760 --> 00:33:50,880 Speaker 3: written and performed by Taka Yasuzawa and Alex Sugi Eira. 641 00:33:51,440 --> 00:33:54,520 Speaker 3: Brendan Francis Newnham is our executive producer, and Sage Bauman 642 00:33:54,600 --> 00:33:58,280 Speaker 3: is the head of Bloomberg Podcasts. A big thanks as 643 00:33:58,280 --> 00:34:03,000 Speaker 3: always to our supporters Joel Webb and Bradstone. I'm David Pappadopolis. 644 00:34:03,480 --> 00:34:05,800 Speaker 3: If you have a minute, rate and review our show, 645 00:34:06,160 --> 00:34:11,840 Speaker 3: it'll help other listeners find us. See you next week.