1
00:00:00,240 --> 00:00:02,400
Speaker 1: I know your commitment to free speech. I respect that

2
00:00:02,480 --> 00:00:04,920
Speaker 1: because I think it's a integral it's the foundational thing

3
00:00:04,960 --> 00:00:09,160
Speaker 1: of democracies really, But I also know your opposition to

4
00:00:09,160 --> 00:00:12,200
Speaker 1: anti semitism. You've spoken about it and tweeted about it.

5
00:00:12,760 --> 00:00:15,800
Speaker 2: That was Israelly, Prime Minister, bb NET and Yahoo talking

6
00:00:15,840 --> 00:00:18,600
Speaker 2: to Elon Musk at a Tesla factory two months ago.

7
00:00:19,320 --> 00:00:21,960
Speaker 2: A lot has happened since then, and much of it

8
00:00:21,960 --> 00:00:25,799
Speaker 2: has been fairly disastrous for Elon's social media platform of

9
00:00:25,920 --> 00:00:29,840
Speaker 2: choice X. The fallout continues for Elo Musk after the

10
00:00:29,840 --> 00:00:31,800
Speaker 2: billionaire and Dawson anti semitic.

11
00:00:31,480 --> 00:00:35,800
Speaker 3: Post scrative advertisers like Disney, Apple, and IBM have pulled

12
00:00:35,840 --> 00:00:38,159
Speaker 3: their ads from the social media site X.

13
00:00:38,280 --> 00:00:40,960
Speaker 4: Yesterday, Musk and I claims he's anti Semitic.

14
00:00:41,000 --> 00:00:44,400
Speaker 2: He also threatened a Thermo nuclear lawsuit against a media

15
00:00:44,479 --> 00:00:47,559
Speaker 2: watchdog company, Bill.

16
00:00:47,600 --> 00:00:50,159
Speaker 4: Elon Musk is now the richest person on the planet.

17
00:00:50,640 --> 00:00:53,479
Speaker 2: More than half the satellites in space are owned and

18
00:00:53,560 --> 00:00:55,720
Speaker 2: controlled by one man.

19
00:00:55,880 --> 00:00:58,600
Speaker 3: Starting his own artificial intelligence company.

20
00:00:58,840 --> 00:01:02,360
Speaker 2: Well, he's a legitimate, super genius and legitimate. He says

21
00:01:02,360 --> 00:01:04,959
Speaker 2: He's always voted for Democrats, but this year it will

22
00:01:05,000 --> 00:01:05,440
Speaker 2: be different.

23
00:01:05,480 --> 00:01:06,440
Speaker 5: He'll vote Republican.

24
00:01:06,720 --> 00:01:09,200
Speaker 3: There is a reason the US government is so reliant

25
00:01:09,240 --> 00:01:09,600
Speaker 3: on him.

26
00:01:09,800 --> 00:01:13,200
Speaker 6: Alon Musk is a scam artist and he's done nothing.

27
00:01:14,000 --> 00:01:16,760
Speaker 1: Anything he does, He's fascinating people.

28
00:01:26,520 --> 00:01:29,360
Speaker 2: Welcome to Elan, Inc. Where we discuss Elon Musk's vast

29
00:01:29,360 --> 00:01:32,600
Speaker 2: corporate empire, his latest gambits and antics, and how to

30
00:01:32,640 --> 00:01:36,039
Speaker 2: make sense of it all. I'm your host, David Papodopolis.

31
00:01:37,680 --> 00:01:41,600
Speaker 2: Last Thursday night, we released an emergency podcast after Musk

32
00:01:41,640 --> 00:01:45,800
Speaker 2: went further in amplifying and agreeing with anti Semitic ideas

33
00:01:45,840 --> 00:01:49,280
Speaker 2: than he ever had before. The fallout from those posts

34
00:01:49,320 --> 00:01:53,720
Speaker 2: is ongoing. Musk has rejected accusations of bigotry, but advertisers

35
00:01:53,720 --> 00:01:57,280
Speaker 2: are still fleeing the site, and his CEO, Linda Yakarino,

36
00:01:57,520 --> 00:02:00,840
Speaker 2: is feeling the heat. Here with the Today to discuss

37
00:02:00,880 --> 00:02:04,200
Speaker 2: the latest in all things acts and another wild development

38
00:02:04,200 --> 00:02:07,880
Speaker 2: in the tech world, the power Struggle. At OpenAI. Are

39
00:02:07,920 --> 00:02:12,880
Speaker 2: our regular muscologists, Sarah Friar, who oversees our coverage of

40
00:02:12,919 --> 00:02:17,840
Speaker 2: Silicon Valley's biggest companies. Hello, Max Chafkin, senior reporter at

41
00:02:17,840 --> 00:02:23,919
Speaker 2: Bloomberg BusinessWeek, Hey, Hey Max. And Danahull, who covers Tesla

42
00:02:23,960 --> 00:02:26,720
Speaker 2: and has also been writing about the reaction to Elon's

43
00:02:26,760 --> 00:02:27,880
Speaker 2: controversial comments.

44
00:02:28,240 --> 00:02:29,040
Speaker 5: Always a pleasure.

45
00:02:29,800 --> 00:02:33,080
Speaker 2: Okay, So, Sarah, the past few days have been action packed.

46
00:02:33,520 --> 00:02:36,560
Speaker 2: Give us a bit of a refresher on what Elon

47
00:02:36,720 --> 00:02:40,120
Speaker 2: said last week that people found so objectionable.

48
00:02:42,200 --> 00:02:47,079
Speaker 6: Well, he was responding to a tweet that espoused of

49
00:02:47,280 --> 00:02:53,600
Speaker 6: a very racist theory about Jewish people that was actually

50
00:02:53,639 --> 00:02:55,679
Speaker 6: tied to I'm not going to repeat it again. You

51
00:02:55,720 --> 00:02:58,440
Speaker 6: can listen to our emergency episode. But he said that

52
00:02:58,600 --> 00:03:02,119
Speaker 6: is the actual truth, and then it caused this, this

53
00:03:02,480 --> 00:03:08,040
Speaker 6: backlash and really shock from all of his his supporters

54
00:03:08,080 --> 00:03:12,919
Speaker 6: and also his advertisers. Even the White House put out

55
00:03:12,919 --> 00:03:17,280
Speaker 6: of statement saying that this wasn't something that they were

56
00:03:17,320 --> 00:03:22,320
Speaker 6: aligned with. And furthermore, Linda Yakarino, who is the CEO

57
00:03:23,080 --> 00:03:25,960
Speaker 6: of X and who is supposed to be in this

58
00:03:26,080 --> 00:03:30,720
Speaker 6: job to bring back advertisers to the platform, basically had

59
00:03:30,760 --> 00:03:32,920
Speaker 6: to ignore it. Had to ignore what he said and

60
00:03:33,000 --> 00:03:37,200
Speaker 6: change the subjects to retaliation against a research group. So

61
00:03:37,240 --> 00:03:38,960
Speaker 6: that's where we are today, all.

62
00:03:39,000 --> 00:03:41,760
Speaker 2: Right, Max, So in the last few days now, what

63
00:03:41,960 --> 00:03:45,400
Speaker 2: has Elon's response been. Well, so, the.

64
00:03:45,080 --> 00:03:48,760
Speaker 3: Most interesting thing about this to me is that Elon

65
00:03:48,880 --> 00:03:52,560
Speaker 3: Musk typically in these situations. Somebody says a racist thing,

66
00:03:53,120 --> 00:03:56,400
Speaker 3: they apologize, and Elon Musk has not apologized, which is

67
00:03:56,520 --> 00:03:59,520
Speaker 3: very much in character for Elon Musk. He's very much

68
00:03:59,560 --> 00:04:02,520
Speaker 3: a you know, never back down kind of fellow. What

69
00:04:02,640 --> 00:04:07,280
Speaker 3: he's done is, as Sarah said, denied the sort of

70
00:04:07,480 --> 00:04:10,800
Speaker 3: central allegation. He's deny that he's anti Semitic, and he's

71
00:04:10,800 --> 00:04:13,240
Speaker 3: had some sort of help from some of his buddies.

72
00:04:13,480 --> 00:04:15,240
Speaker 3: But what he's largely tried to do is sort of

73
00:04:15,320 --> 00:04:18,839
Speaker 3: changed the subject. He's attacked Media Matters.

74
00:04:18,400 --> 00:04:20,200
Speaker 2: And what has Media Matters done here?

75
00:04:20,240 --> 00:04:24,719
Speaker 3: Media Matters, before this tweet, had put out a report

76
00:04:25,120 --> 00:04:29,760
Speaker 3: alleging that X, the platform formerly known as Twitter, was

77
00:04:29,800 --> 00:04:34,120
Speaker 3: showing ads next to anti Semitic content, and then Elon

78
00:04:34,240 --> 00:04:39,240
Speaker 3: Musk tweets this thing, which really I would say reinforces

79
00:04:39,320 --> 00:04:42,400
Speaker 3: the problem that Media Matters is counting out because it's

80
00:04:42,440 --> 00:04:44,640
Speaker 3: not just like as Media Matters saying there were some

81
00:04:44,680 --> 00:04:47,160
Speaker 3: anti Semites on this platform. The call is coming from

82
00:04:47,160 --> 00:04:50,279
Speaker 3: inside the house, So that totally reinforces the problem with

83
00:04:50,320 --> 00:04:52,600
Speaker 3: Media Matters is report and I think is part of

84
00:04:52,640 --> 00:04:57,560
Speaker 3: what kind of kicked off the cascade of essentially advertiser boycott.

85
00:04:57,640 --> 00:04:59,680
Speaker 2: This cuts it just before we go through the media

86
00:04:59,720 --> 00:05:02,479
Speaker 2: matter Lawsuitdan give us the exact lineup in the exact

87
00:05:02,560 --> 00:05:06,960
Speaker 2: rundown who has broken now and called off advertising with

88
00:05:07,320 --> 00:05:08,400
Speaker 2: X Well, I just want.

89
00:05:08,240 --> 00:05:10,239
Speaker 5: To back up for one moment and make the point

90
00:05:10,279 --> 00:05:13,000
Speaker 5: that Musk is blaming this on the media, that you know,

91
00:05:13,600 --> 00:05:17,520
Speaker 5: media matters, this research group and journalists like us have

92
00:05:17,839 --> 00:05:19,760
Speaker 5: made this into a Maelstrom. But I want to be

93
00:05:19,880 --> 00:05:22,920
Speaker 5: very clear that pretty quickly after Musk did this tweet,

94
00:05:23,200 --> 00:05:26,040
Speaker 5: the American Jewish community came out with a very strong

95
00:05:26,160 --> 00:05:30,119
Speaker 5: statement that said elon Musk's agreement agreement with the user

96
00:05:30,160 --> 00:05:33,360
Speaker 5: promoting elements of the Great Replacement theory isn't the truth.

97
00:05:33,760 --> 00:05:37,080
Speaker 5: It is the deadliest anti Semitic conspiracy theory in modern

98
00:05:37,200 --> 00:05:41,880
Speaker 5: US history and motivated the Pittsburgh synagogue shooting. Like he

99
00:05:42,040 --> 00:05:45,960
Speaker 5: was called out by pretty significant organizations, then the media

100
00:05:46,000 --> 00:05:49,880
Speaker 5: wrote about it, Then the advertiser boycott started happening, and

101
00:05:49,920 --> 00:05:51,840
Speaker 5: so that's where we are today. But I just think

102
00:05:51,839 --> 00:05:54,880
Speaker 5: it's disingenuous to sort of blame this on reporters when

103
00:05:54,880 --> 00:05:58,400
Speaker 5: you have some pretty large and significant organizations calling him

104
00:05:58,400 --> 00:05:59,799
Speaker 5: out for the tweet in the first place.

105
00:06:00,200 --> 00:06:02,599
Speaker 3: One other thing, which is that he one way he

106
00:06:02,640 --> 00:06:05,480
Speaker 3: tried to cover up the damage, or to do a

107
00:06:05,480 --> 00:06:08,480
Speaker 3: little bit of damage control was by sort of redirecting

108
00:06:08,520 --> 00:06:12,679
Speaker 3: this to the Israeli Palestinian crisis. So he's essentially trying

109
00:06:12,720 --> 00:06:14,920
Speaker 3: to say I could not be an anti Semite because

110
00:06:14,960 --> 00:06:19,000
Speaker 3: I'm incredibly pro Israel, which just to say that is

111
00:06:19,080 --> 00:06:23,039
Speaker 3: not those two things are not necessarily are not necessarily

112
00:06:23,080 --> 00:06:23,839
Speaker 3: mutually exclusives.

113
00:06:23,839 --> 00:06:26,560
Speaker 6: And also we haven't seen him enforced that. And also

114
00:06:27,520 --> 00:06:31,000
Speaker 6: it was this moment where you saw a lot of

115
00:06:31,080 --> 00:06:36,400
Speaker 6: Jewish leaders who normally would probably have criticized him, say hey,

116
00:06:36,480 --> 00:06:38,640
Speaker 6: that's great that you're doing that, and they sort of

117
00:06:38,680 --> 00:06:44,040
Speaker 6: seem to prioritize Elon Must's power and influence over the conversation,

118
00:06:44,800 --> 00:06:49,560
Speaker 6: over any personal anti Semitism or racism he may be espousing.

119
00:06:50,040 --> 00:06:54,839
Speaker 6: And that just goes to show how much control this

120
00:06:54,960 --> 00:06:57,960
Speaker 6: man has and how it's very difficult for people to

121
00:06:58,320 --> 00:06:59,720
Speaker 6: make an enemy of him.

122
00:06:59,800 --> 00:07:01,040
Speaker 3: For all.

123
00:07:01,120 --> 00:07:03,680
Speaker 2: Right, but Dan, can you give me that rundown of

124
00:07:03,720 --> 00:07:07,200
Speaker 2: companies that have pulled advertising for Max Pause?

125
00:07:07,360 --> 00:07:10,280
Speaker 5: This is what I believe they're calling it. Sarah backed

126
00:07:10,280 --> 00:07:14,920
Speaker 5: me up here. I believe it's Apple, Disney, IBM are

127
00:07:14,920 --> 00:07:15,440
Speaker 5: the big three.

128
00:07:16,000 --> 00:07:18,880
Speaker 6: Those are the big ones. There are a few banks,

129
00:07:18,920 --> 00:07:24,960
Speaker 6: a few communications companies, a lot of companies that already

130
00:07:25,040 --> 00:07:28,200
Speaker 6: had a pause in place that are just continuing that pause.

131
00:07:28,920 --> 00:07:33,720
Speaker 6: The sixty percent drop in advertising revenue that Musk has

132
00:07:33,800 --> 00:07:40,240
Speaker 6: talked about, it doesn't seem to be reversing, all right.

133
00:07:40,280 --> 00:07:43,200
Speaker 2: So now let's get into this. You know, must describe

134
00:07:43,200 --> 00:07:46,920
Speaker 2: that I believe as a thermonuclear lawsuit against Media Matters.

135
00:07:47,000 --> 00:07:48,760
Speaker 2: It that the lawsuit has dropped Max.

136
00:07:48,800 --> 00:07:54,520
Speaker 3: And it says what the lawsuit says that Media Matters

137
00:07:54,560 --> 00:07:56,040
Speaker 3: report was contrived.

138
00:07:56,520 --> 00:07:58,920
Speaker 2: It doesn't stipulated.

139
00:07:59,240 --> 00:08:03,400
Speaker 3: Yeah, It doesn't say that Media Matters made up these adjacencies.

140
00:08:03,720 --> 00:08:07,960
Speaker 3: It says that Media Matters refreshed their Twitter feeds.

141
00:08:07,640 --> 00:08:08,440
Speaker 2: So many times.

142
00:08:08,480 --> 00:08:11,160
Speaker 3: They are they cherry they cherry picked? Yeah, And I'm

143
00:08:11,240 --> 00:08:13,880
Speaker 3: not sure. Look, I'm not a legal scholar. I don't

144
00:08:13,920 --> 00:08:17,080
Speaker 3: know if this is gonna hold up in court or not.

145
00:08:17,560 --> 00:08:19,920
Speaker 3: But I would say that the goal here, I don't

146
00:08:19,960 --> 00:08:24,120
Speaker 3: think is to extract a settlement from Media Matters. It's

147
00:08:24,240 --> 00:08:29,440
Speaker 3: to basically respond to this general swirl of allegations in

148
00:08:29,480 --> 00:08:33,480
Speaker 3: the most aggressive way possible. And also, you know, I think, unfortunately,

149
00:08:33,760 --> 00:08:35,880
Speaker 3: to kind of create a chilling effect, to make it

150
00:08:35,920 --> 00:08:38,640
Speaker 3: more difficult for nonprofits and yes, journalists.

151
00:08:38,720 --> 00:08:41,120
Speaker 6: By the way, the Center for Countering Digital Hate was

152
00:08:41,160 --> 00:08:45,400
Speaker 6: already facing legal complaints from X earlier this year. This

153
00:08:45,440 --> 00:08:47,480
Speaker 6: is a pattern. He said he would go after the

154
00:08:47,520 --> 00:08:50,679
Speaker 6: ADL of the Anti Defamation League as well. They ended

155
00:08:50,760 --> 00:08:54,160
Speaker 6: up having a somewhat of a truce. And this is

156
00:08:54,320 --> 00:08:59,679
Speaker 6: just a company that has made their API, which researchers

157
00:08:59,760 --> 00:09:03,400
Speaker 6: used to that's an application programming interface. But what it

158
00:09:03,440 --> 00:09:06,880
Speaker 6: means is that the way that researchers used to look

159
00:09:07,440 --> 00:09:10,160
Speaker 6: at the content on X to figure out if there

160
00:09:10,200 --> 00:09:13,280
Speaker 6: was misinformation spreading ahead of an election, to figure out

161
00:09:13,280 --> 00:09:16,439
Speaker 6: what was going viral, what was happening in global conversation,

162
00:09:17,080 --> 00:09:19,640
Speaker 6: Now that costs at a minimum forty two thousand dollars

163
00:09:19,720 --> 00:09:23,480
Speaker 6: a month, which is incredibly unaffordable for any nonprofit to

164
00:09:23,640 --> 00:09:26,560
Speaker 6: even hold X accountable in the way that they used to.

165
00:09:26,760 --> 00:09:29,960
Speaker 6: So all of this to say, X would prefer that

166
00:09:30,000 --> 00:09:33,640
Speaker 6: the only data that we believe about that company comes

167
00:09:33,640 --> 00:09:34,640
Speaker 6: from the company itself.

168
00:09:34,880 --> 00:09:38,200
Speaker 2: So we believe that this attempt to essentially enforce them

169
00:09:38,440 --> 00:09:41,840
Speaker 2: or have something of a chilling effect on the media

170
00:09:42,280 --> 00:09:43,200
Speaker 2: will be successful.

171
00:09:44,080 --> 00:09:44,320
Speaker 4: Max.

172
00:09:44,880 --> 00:09:48,880
Speaker 3: I think the way that media chilling effects worth it's

173
00:09:48,920 --> 00:09:50,400
Speaker 3: not like a one to one thing. No, I don't

174
00:09:50,440 --> 00:09:53,160
Speaker 3: think it's going to be successful because in certain ways,

175
00:09:53,160 --> 00:09:57,040
Speaker 3: the lawsuit actually confirms certain aspects of the Media Matters port.

176
00:09:57,040 --> 00:09:57,680
Speaker 2: I mean, he doesn't.

177
00:09:57,840 --> 00:10:00,559
Speaker 3: The lawsuit doesn't dispute that these were real so greenshots.

178
00:10:00,559 --> 00:10:03,400
Speaker 3: It doesn't dispute that there were, you know, anti Semites

179
00:10:03,400 --> 00:10:07,880
Speaker 3: on this platform. It disputes that Media Matters was overstating

180
00:10:07,880 --> 00:10:10,840
Speaker 3: the likelihood that you would see an anti Semitic ad

181
00:10:10,880 --> 00:10:12,880
Speaker 3: next to that. And I don't think it's going to

182
00:10:12,920 --> 00:10:15,400
Speaker 3: have an immediate chilling effect. But when you see like

183
00:10:15,400 --> 00:10:18,640
Speaker 3: a cascade of things like this, you know it doesn't.

184
00:10:19,120 --> 00:10:23,200
Speaker 3: It doesn't make people more anxious to call out discrimination

185
00:10:23,440 --> 00:10:25,839
Speaker 3: and so on. And honestly, I think it's it's kind

186
00:10:25,840 --> 00:10:28,960
Speaker 3: of a clever way for him to respond to these

187
00:10:28,960 --> 00:10:33,040
Speaker 3: allegations without apologizing for them, because he almost can't apologize

188
00:10:33,040 --> 00:10:35,720
Speaker 3: for them because this is sort of important to his

189
00:10:35,880 --> 00:10:38,000
Speaker 3: like right wing persona, like a lot of his fans

190
00:10:38,000 --> 00:10:42,000
Speaker 3: would be really disappointed if he said, no, I totally misspoke.

191
00:10:42,040 --> 00:10:44,120
Speaker 3: I need a moment of reflection. He doesn't want to

192
00:10:44,160 --> 00:10:46,199
Speaker 3: do that, so this is a way to kind of zig.

193
00:10:46,320 --> 00:10:48,840
Speaker 5: What strikes me is that it's kind of like with politics,

194
00:10:48,880 --> 00:10:51,280
Speaker 5: you know how, like the politician does something bad and

195
00:10:51,320 --> 00:10:53,960
Speaker 5: then the surrogates rally to the defense. You're seeing that

196
00:10:54,000 --> 00:10:57,440
Speaker 5: play at now, Like so Elon creates this horrific news

197
00:10:57,440 --> 00:11:01,600
Speaker 5: cycle last week, never apologizes, the board doesn't apologize, and

198
00:11:01,640 --> 00:11:04,040
Speaker 5: believe me, like they had ample opportunity to. No one

199
00:11:04,080 --> 00:11:06,280
Speaker 5: puts out a statement. But then you see like Bill

200
00:11:06,280 --> 00:11:08,680
Speaker 5: Eckman ride to the rescue over the weekend, and then

201
00:11:08,800 --> 00:11:12,600
Speaker 5: yesterday Sam Teller, elunch chief former chief of staff, puts

202
00:11:12,640 --> 00:11:15,600
Speaker 5: out a tweet. I spent nearly five years as Elunch

203
00:11:15,679 --> 00:11:17,920
Speaker 5: chief of staff, and that time I never observed a

204
00:11:17,960 --> 00:11:20,800
Speaker 5: trace of anti Semitism. He goes on, and then, like

205
00:11:21,080 --> 00:11:24,640
Speaker 5: you know, Elon responds thanks Sam with a heart emoji.

206
00:11:24,679 --> 00:11:27,720
Speaker 6: This is all a distraction from what's actually happening at

207
00:11:27,720 --> 00:11:30,800
Speaker 6: this company, which is that they've really reduced their content

208
00:11:30,880 --> 00:11:34,640
Speaker 6: moderation rules because Elon Musk says he wants anyone to

209
00:11:35,080 --> 00:11:38,000
Speaker 6: speak freely, and in order to fix it, they're relying

210
00:11:38,040 --> 00:11:40,600
Speaker 6: on this community notes.

211
00:11:40,360 --> 00:11:45,000
Speaker 2: Tool, which citizen journalists basically thousands.

212
00:11:44,679 --> 00:11:48,280
Speaker 6: Of people who just rate tweets and explain why they're

213
00:11:48,320 --> 00:11:52,400
Speaker 6: wrong or add context where needed and Bloomberg actually has

214
00:11:52,440 --> 00:11:58,080
Speaker 6: an investigation out today showing that this system is incredibly slow.

215
00:11:58,880 --> 00:12:02,760
Speaker 6: It can take hours for viral misinformation to get a

216
00:12:02,840 --> 00:12:07,040
Speaker 6: label put on it because it's this voting process that

217
00:12:07,080 --> 00:12:11,000
Speaker 6: takes place. And then it's also really inconsistent, and it

218
00:12:11,080 --> 00:12:15,440
Speaker 6: allows for repeat offenders who would have been banned under

219
00:12:15,480 --> 00:12:21,360
Speaker 6: the prior Twitter regime to continue to post at their pleasure.

220
00:12:21,920 --> 00:12:25,960
Speaker 2: Okay, Sarah, So earlier on you reminded us that X's revenue,

221
00:12:26,160 --> 00:12:29,880
Speaker 2: its advertising revenue is down roughly sixty percent since Elon

222
00:12:29,960 --> 00:12:34,400
Speaker 2: took over the company. We've had additional advertisers pull out.

223
00:12:34,480 --> 00:12:37,360
Speaker 2: Now you know how much damage has been done and

224
00:12:37,400 --> 00:12:40,600
Speaker 2: how existential is this? I mean listen, Elon himself in

225
00:12:40,640 --> 00:12:43,880
Speaker 2: the recent past has thrown out the word bankruptcy. Those

226
00:12:43,920 --> 00:12:48,960
Speaker 2: are his words. And how does Linda Yakarino turn this around?

227
00:12:50,160 --> 00:12:53,200
Speaker 6: Well, a lot of damage has been done to the

228
00:12:53,240 --> 00:12:58,720
Speaker 6: revenue model. That said, they think that they can eventually

229
00:12:58,760 --> 00:13:02,720
Speaker 6: replace it with the subscription business of paying for ex

230
00:13:02,800 --> 00:13:09,440
Speaker 6: premium that is still not reaching even a fraction of

231
00:13:09,480 --> 00:13:11,160
Speaker 6: the users that they would need for it to reach,

232
00:13:11,320 --> 00:13:14,760
Speaker 6: or to replace the revenues that they've lost from advertisers.

233
00:13:15,240 --> 00:13:18,200
Speaker 6: Linda Yakarino. Oh my goodness, I don't know where where

234
00:13:18,240 --> 00:13:23,319
Speaker 6: I start. I thought that she would last a few weeks,

235
00:13:23,320 --> 00:13:24,960
Speaker 6: maybe before she realized.

236
00:13:24,640 --> 00:13:27,200
Speaker 2: Oh wrong, Sarah, I was so wrong.

237
00:13:27,559 --> 00:13:29,200
Speaker 6: She's in it to win it. She's in it for

238
00:13:29,240 --> 00:13:33,160
Speaker 6: the long haul. I am. I'm actually, you know, impressed

239
00:13:33,360 --> 00:13:37,320
Speaker 6: with her ability to withstand, you know, all the pressures

240
00:13:37,360 --> 00:13:40,600
Speaker 6: of this job and still survive in the role. Her

241
00:13:40,640 --> 00:13:42,680
Speaker 6: main goal seems to be to not get fired. She's

242
00:13:43,200 --> 00:13:48,720
Speaker 6: she is incredibly devoted to espousing whatever Musk wants her to.

243
00:13:49,160 --> 00:13:52,960
Speaker 6: So she was also part of this weekend spin of

244
00:13:53,080 --> 00:13:56,920
Speaker 6: turning this anti semitic tweet backlash into a backlash over

245
00:13:57,000 --> 00:14:00,000
Speaker 6: the media matters and bogus reports from journalist.

246
00:14:00,400 --> 00:14:03,160
Speaker 3: What I love about this, though, is honestly she is trying.

247
00:14:03,200 --> 00:14:05,240
Speaker 3: Her plan as far as I can tell, which Sarah

248
00:14:05,320 --> 00:14:08,400
Speaker 3: was alluding to, is that they're going to just tack right.

249
00:14:08,559 --> 00:14:12,040
Speaker 3: They see twenty twenty four election is coming. You got

250
00:14:12,040 --> 00:14:14,720
Speaker 3: a nice size conservative audience on X right now. I

251
00:14:14,720 --> 00:14:16,040
Speaker 3: mean you know that we can we could have a

252
00:14:16,040 --> 00:14:19,800
Speaker 3: debate about how big the audience is overall and what

253
00:14:19,880 --> 00:14:22,280
Speaker 3: engagement is like, but it's definitely clear that you've got

254
00:14:22,280 --> 00:14:23,760
Speaker 3: a lot of right wingers are spending a lot of

255
00:14:23,800 --> 00:14:26,640
Speaker 3: time there, and so her plan seems to be to

256
00:14:27,120 --> 00:14:30,520
Speaker 3: use this and to and to sell advertisements to you know,

257
00:14:30,560 --> 00:14:35,240
Speaker 3: political action committees and I guess candidates and nonprofits. Again,

258
00:14:35,480 --> 00:14:38,640
Speaker 3: this is not a huge market, and Apple and these

259
00:14:38,720 --> 00:14:42,000
Speaker 3: advertisers that are pulling out are huge advertisers, and it

260
00:14:42,080 --> 00:14:45,880
Speaker 3: seems exceedingly unlikely that you would actually you would actually

261
00:14:45,920 --> 00:14:47,880
Speaker 3: be able to make up the difference. On the other hand,

262
00:14:48,040 --> 00:14:50,760
Speaker 3: maybe they don't need to because it's a much smaller company.

263
00:14:50,760 --> 00:14:52,360
Speaker 3: They've laid off, you know, a huge amount of the

264
00:14:52,360 --> 00:14:54,600
Speaker 3: staff costs the lower and you know you have this

265
00:14:54,680 --> 00:14:58,360
Speaker 3: like trickle of the debt of subscribers. I'm just trying

266
00:14:58,360 --> 00:15:01,120
Speaker 3: to give you the Linda, you know, the best case

267
00:15:01,160 --> 00:15:02,840
Speaker 3: scenario from Linda's pot of view.

268
00:15:02,680 --> 00:15:05,080
Speaker 5: Andrew Tate is going to like is going to advertise

269
00:15:05,160 --> 00:15:07,920
Speaker 5: right like these right wing influencers are offering to sort

270
00:15:07,920 --> 00:15:08,560
Speaker 5: of pay money.

271
00:15:08,600 --> 00:15:11,480
Speaker 6: Okay, but two things right wing influencers hate being on

272
00:15:11,520 --> 00:15:15,280
Speaker 6: a platform where there are no left wing woke people

273
00:15:15,320 --> 00:15:19,360
Speaker 6: to troll, and if there aren't any then they'll be bored.

274
00:15:20,320 --> 00:15:24,440
Speaker 6: And the other thing is all of these advertisers who

275
00:15:24,440 --> 00:15:28,920
Speaker 6: are pulling out and making this big statement of you know,

276
00:15:29,280 --> 00:15:32,880
Speaker 6: we don't endorse anti Semitism. It's not that big of

277
00:15:32,920 --> 00:15:35,600
Speaker 6: a deal for their balance sheets to pull out of

278
00:15:35,640 --> 00:15:39,360
Speaker 6: Twitter advertising. It's not that effective. They have Meta, they

279
00:15:39,440 --> 00:15:42,200
Speaker 6: have Google, they have these other places to advertise. They

280
00:15:42,200 --> 00:15:44,000
Speaker 6: don't need to be on Twitter. They were on Twitter

281
00:15:44,000 --> 00:15:47,840
Speaker 6: because of the relationships and where it counts for Elon

282
00:15:47,960 --> 00:15:51,920
Speaker 6: Musk in his government contracts, in his relationships with bankers.

283
00:15:52,520 --> 00:15:53,680
Speaker 6: People aren't pulling up.

284
00:15:56,720 --> 00:15:59,920
Speaker 2: Okay, welcome back. So somehow X isn't even the biggest

285
00:16:00,120 --> 00:16:03,360
Speaker 2: news story in the tech world right now. Open Ai

286
00:16:03,800 --> 00:16:07,640
Speaker 2: a company that Elon started with Sam Altman before he

287
00:16:07,880 --> 00:16:11,560
Speaker 2: would leave in a twenty eighteen power struggle Max, what

288
00:16:12,040 --> 00:16:14,560
Speaker 2: exactly has it been facing? For the love of god,

289
00:16:14,640 --> 00:16:15,800
Speaker 2: what is going on here?

290
00:16:16,480 --> 00:16:19,440
Speaker 3: Open ai is pretty much the hottest thing, or was

291
00:16:19,640 --> 00:16:22,480
Speaker 3: until a few days ago, pretty much the hottest.

292
00:16:22,000 --> 00:16:22,920
Speaker 2: Thing in tech.

293
00:16:23,160 --> 00:16:26,720
Speaker 3: Open Ai created chat GPT, the the chatbot that that

294
00:16:26,800 --> 00:16:28,760
Speaker 3: many people are very excited about, many companies are very

295
00:16:28,800 --> 00:16:31,600
Speaker 3: excited about. And Microsoft, you know, one of the world's

296
00:16:31,680 --> 00:16:35,480
Speaker 3: largest companies, has essentially put at the center of its

297
00:16:35,480 --> 00:16:36,600
Speaker 3: of an entire like.

298
00:16:36,560 --> 00:16:38,360
Speaker 2: Corporate overhaul effort.

299
00:16:38,960 --> 00:16:40,800
Speaker 3: We should say, first of all, open Ai was co

300
00:16:40,920 --> 00:16:44,920
Speaker 3: founded by Elon Musk or Elon Musk played a key

301
00:16:45,040 --> 00:16:48,680
Speaker 3: role in the creation of the of this startup, was

302
00:16:48,720 --> 00:16:52,840
Speaker 3: the main funder early on, and for years open AI's

303
00:16:52,880 --> 00:16:55,880
Speaker 3: CEO Sam Altman, who was kind of Musk's partner in

304
00:16:55,920 --> 00:16:58,720
Speaker 3: the in the creation of the of the entity, was

305
00:16:58,760 --> 00:17:02,640
Speaker 3: going around saying this technology is so amazing, it could

306
00:17:02,720 --> 00:17:04,880
Speaker 3: end the world, Like we really need to be careful

307
00:17:04,880 --> 00:17:08,440
Speaker 3: here because Ai could take over and the robots could

308
00:17:08,440 --> 00:17:11,080
Speaker 3: somehow decide to annihilate the human race. And Elon Musk

309
00:17:11,080 --> 00:17:13,440
Speaker 3: actually played a big role in kind of pumping.

310
00:17:13,119 --> 00:17:14,080
Speaker 4: Up this idea.

311
00:17:14,200 --> 00:17:17,199
Speaker 3: Now, I don't think that open AI's senior management, I

312
00:17:17,200 --> 00:17:19,919
Speaker 3: don't think Microsoft, I don't think Sam Altman ever really

313
00:17:19,960 --> 00:17:23,080
Speaker 3: took seriously the idea that open Ai was its little

314
00:17:23,160 --> 00:17:25,760
Speaker 3: chatbot that can write an email for you, was going

315
00:17:25,800 --> 00:17:27,960
Speaker 3: to turn around and annihilate the whole human race.

316
00:17:28,200 --> 00:17:31,240
Speaker 2: But that is the very argument that they apparently made here.

317
00:17:31,280 --> 00:17:37,280
Speaker 3: But crucially, unfortunately for Sam Altman, some open ai board members,

318
00:17:37,680 --> 00:17:40,359
Speaker 3: I think, do really buy into that idea. And we

319
00:17:40,480 --> 00:17:45,639
Speaker 3: had this amazingly sudden coup that happened on Friday where

320
00:17:45,720 --> 00:17:48,399
Speaker 3: a number of open ai board members. Open ai was

321
00:17:48,440 --> 00:17:50,680
Speaker 3: governed by a nonprofit. It's kind of a weird structure.

322
00:17:51,080 --> 00:17:54,760
Speaker 3: Voted Sam Altman off the island, fired him, and they

323
00:17:54,760 --> 00:17:58,320
Speaker 3: were able to do so, strangely, without consulting any of

324
00:17:58,320 --> 00:18:01,200
Speaker 3: the venture capitalists who I invested in this thing, and

325
00:18:01,240 --> 00:18:04,560
Speaker 3: without consulting with Microsoft, which had put thirteen billion dollars

326
00:18:04,600 --> 00:18:05,160
Speaker 3: into this thing.

327
00:18:05,600 --> 00:18:08,439
Speaker 2: You know, it's funny because I grew up journalistically in

328
00:18:08,520 --> 00:18:11,600
Speaker 2: Latin America and I witnessed a lot of coups. Some worked,

329
00:18:11,840 --> 00:18:15,000
Speaker 2: some didn't. This has got to be the worst coup

330
00:18:15,560 --> 00:18:17,879
Speaker 2: I've seen since the two thousand and two attempt to

331
00:18:17,920 --> 00:18:20,480
Speaker 2: ousto Goo jobs. It's been pretty bad. And right now

332
00:18:20,520 --> 00:18:25,800
Speaker 2: as we speak, Sarah Friar, there's a mutiny going on

333
00:18:26,640 --> 00:18:29,680
Speaker 2: inside open a open ai correct.

334
00:18:30,240 --> 00:18:36,000
Speaker 6: Yes, About ninety percent or above of the existing employees

335
00:18:36,040 --> 00:18:38,920
Speaker 6: that open ai have signed a petition, by the way,

336
00:18:39,000 --> 00:18:42,400
Speaker 6: including the chief scientist who is on the board, pushing

337
00:18:42,480 --> 00:18:46,760
Speaker 6: out Sam Altman and Greg Brockman. These people have all

338
00:18:46,760 --> 00:18:51,040
Speaker 6: signed this memo saying that if they aren't reinstated, they're

339
00:18:51,080 --> 00:18:54,919
Speaker 6: out of there. Which is it? It's wild? Right?

340
00:18:54,680 --> 00:18:55,240
Speaker 2: Are all?

341
00:18:55,560 --> 00:18:58,480
Speaker 6: Is Microsoft going to end up acquiring open ai for

342
00:18:58,600 --> 00:19:02,480
Speaker 6: like zero dollars, and you know the rest of this

343
00:19:02,560 --> 00:19:06,600
Speaker 6: is in their hands. Are these leaders who were ousted

344
00:19:06,640 --> 00:19:09,760
Speaker 6: going to come back and try to say businesses running

345
00:19:09,800 --> 00:19:10,320
Speaker 6: as usual?

346
00:19:11,640 --> 00:19:12,280
Speaker 2: It is.

347
00:19:13,760 --> 00:19:17,040
Speaker 6: One of the craziest, Like people have compared it to

348
00:19:17,080 --> 00:19:19,480
Speaker 6: like Steve Jobs getting kicked out of Apple and brought back,

349
00:19:19,920 --> 00:19:22,359
Speaker 6: or Jack Dorsy is getting kicked out of Twitter and

350
00:19:22,400 --> 00:19:26,520
Speaker 6: brought back. Those two situations happened over a matter of years.

351
00:19:27,080 --> 00:19:30,320
Speaker 6: This is happening in a matter of days. So we're

352
00:19:30,359 --> 00:19:31,720
Speaker 6: all not sleeping that much.

353
00:19:31,760 --> 00:19:34,800
Speaker 7: But I do think he played some role, right, which

354
00:19:34,800 --> 00:19:36,439
Speaker 7: is what I want to get at, because you know,

355
00:19:36,480 --> 00:19:39,160
Speaker 7: we don't ultimately know all should be revealed at some point,

356
00:19:39,320 --> 00:19:41,760
Speaker 7: but you know, to a certain degree, Yeah, it is

357
00:19:41,800 --> 00:19:44,080
Speaker 7: interesting without really knowing anything.

358
00:19:44,160 --> 00:19:46,040
Speaker 2: God, it seems like his fingerprints would be all over this.

359
00:19:46,119 --> 00:19:48,320
Speaker 2: I mean, you told us the other day, Max that

360
00:19:48,359 --> 00:19:51,760
Speaker 2: they Musk that Elon Musk Samultman rivalry was a top

361
00:19:51,840 --> 00:19:54,160
Speaker 2: twenty Musk rub I had it. I think I.

362
00:19:54,080 --> 00:19:56,760
Speaker 3: Underrated it, right, I mean, clearly this was a bigger,

363
00:19:57,320 --> 00:20:01,080
Speaker 3: more consequential rivalry than I had even at Yeah, last

364
00:20:01,080 --> 00:20:03,480
Speaker 3: week we talked about Elon Musk going on the Lex

365
00:20:03,520 --> 00:20:06,520
Speaker 3: Friedman podcast and he said a few things that kind

366
00:20:06,560 --> 00:20:10,399
Speaker 3: of anticipated this. He brought up ilias suit Skiver, the

367
00:20:10,440 --> 00:20:14,520
Speaker 3: chief scientist uh and and basically took credit for hiring him,

368
00:20:14,960 --> 00:20:18,119
Speaker 3: and heaped a lot of praise on him, and and

369
00:20:18,280 --> 00:20:21,520
Speaker 3: also made a kind of complaint about Sam Altman open AI.

370
00:20:21,560 --> 00:20:23,480
Speaker 3: He said, open a I was supposed to be open source,

371
00:20:23,520 --> 00:20:27,280
Speaker 3: and now it's profitable. He's been complaining for years that

372
00:20:27,400 --> 00:20:30,800
Speaker 3: this is like a startup worth billions of dollars that

373
00:20:30,840 --> 00:20:33,600
Speaker 3: he founded as a nonprofit. And what we saw with

374
00:20:33,720 --> 00:20:37,280
Speaker 3: the board, right was this effort to take this startup,

375
00:20:37,320 --> 00:20:39,639
Speaker 3: take this thing that Microsoft is so excited about, that

376
00:20:39,720 --> 00:20:42,480
Speaker 3: venture capitalists are so excited about, and wrestle it back

377
00:20:42,680 --> 00:20:45,800
Speaker 3: to its nonprofit roots, which you know, does two things

378
00:20:45,840 --> 00:20:48,159
Speaker 3: for for Elon Musk. One is it validates this thing

379
00:20:48,200 --> 00:20:50,119
Speaker 3: that he's been saying he can he can claim to

380
00:20:50,119 --> 00:20:52,159
Speaker 3: be right, which he loves to do. And also it

381
00:20:52,240 --> 00:20:54,159
Speaker 3: kind of does him a favor because Elon Musk just

382
00:20:54,240 --> 00:21:00,800
Speaker 3: launched this kind of haphazard chant of Rock. Yes, I'm saying,

383
00:21:00,960 --> 00:21:03,560
Speaker 3: and I regret to say, I know that Grock has

384
00:21:03,400 --> 00:21:06,640
Speaker 3: its defenders and everything like that, but basically this thing

385
00:21:06,920 --> 00:21:10,280
Speaker 3: Rock was assembled in a matter of months, there's Yeah,

386
00:21:10,320 --> 00:21:12,480
Speaker 3: I'd say there's a little excitement among Elon's fans, but

387
00:21:12,480 --> 00:21:14,720
Speaker 3: I don't think it's exactly caught fire. But now all

388
00:21:14,720 --> 00:21:17,879
Speaker 3: of a sudden you have this utter crisis at the

389
00:21:17,960 --> 00:21:20,480
Speaker 3: leading player. I mean, I think that could only help

390
00:21:20,720 --> 00:21:23,119
Speaker 3: Elon Musk, either in terms of recruiting or just in

391
00:21:23,200 --> 00:21:26,200
Speaker 3: terms of getting people to try a different chatbox.

392
00:21:26,280 --> 00:21:28,600
Speaker 2: Right now, one other thing on this, Sarah, do we

393
00:21:28,640 --> 00:21:31,640
Speaker 2: have any sense right because indeed, as maxis said here,

394
00:21:31,760 --> 00:21:34,000
Speaker 2: Elon played a role in the founding of open Ai.

395
00:21:35,040 --> 00:21:37,359
Speaker 6: He was the co founder. He put one hundred million

396
00:21:37,400 --> 00:21:41,160
Speaker 6: of his own money into it. He tried to take

397
00:21:41,280 --> 00:21:45,040
Speaker 6: full control at some point and that didn't work out.

398
00:21:45,200 --> 00:21:51,520
Speaker 6: But he was very passionate about trying to prevent AI

399
00:21:51,840 --> 00:21:55,480
Speaker 6: from getting out of control. And of course this narrative

400
00:21:55,520 --> 00:21:57,840
Speaker 6: of like, we've got to prevent AI from taking over

401
00:21:57,960 --> 00:22:00,400
Speaker 6: is also somewhat self serving because it's like the only

402
00:22:00,440 --> 00:22:01,960
Speaker 6: one who can save you from it is me.

403
00:22:03,000 --> 00:22:07,240
Speaker 3: We should also say, for future feud watching potential Musk

404
00:22:07,280 --> 00:22:10,800
Speaker 3: weighing in here, Musk, you know, hinting darkly that there

405
00:22:10,840 --> 00:22:13,080
Speaker 3: must have been something going on that the public needs

406
00:22:13,080 --> 00:22:16,720
Speaker 3: to know about. That is a big problem for Microsoft,

407
00:22:16,760 --> 00:22:19,320
Speaker 3: which is like really trying to just clean up this mess,

408
00:22:19,400 --> 00:22:22,000
Speaker 3: and it's a big problem for the venture capitalists who

409
00:22:22,000 --> 00:22:24,000
Speaker 3: invested in open Ai. I mean, part of what makes

410
00:22:24,000 --> 00:22:29,199
Speaker 3: this whole thing so wild is that is that, like overnight,

411
00:22:29,440 --> 00:22:32,400
Speaker 3: this incredibly valuable startup that all of these very powerful

412
00:22:32,400 --> 00:22:35,560
Speaker 3: people were sort of banking on is getting taken apart.

413
00:22:35,640 --> 00:22:39,040
Speaker 2: Right, It's amazing, Max, this thing went from apparently a

414
00:22:39,119 --> 00:22:43,840
Speaker 2: value of eighty six billion dollars to perhaps zero in seconds.

415
00:22:43,880 --> 00:22:47,080
Speaker 2: It's one hundred percent, right, It's a staggering if it

416
00:22:47,119 --> 00:22:48,200
Speaker 2: really goes down this way.

417
00:22:48,320 --> 00:22:50,439
Speaker 3: Yeah, it's not going to go down to zero, but

418
00:22:50,600 --> 00:22:52,080
Speaker 3: at least I don't think it will.

419
00:22:52,240 --> 00:22:57,400
Speaker 6: That's the thing, Max, This tension, these relationships, they all

420
00:22:57,440 --> 00:23:00,560
Speaker 6: go way back. Elon Musk has known Sam Altman forever.

421
00:23:00,840 --> 00:23:03,800
Speaker 6: Sam Altman, by the way, was in the first Y

422
00:23:03,880 --> 00:23:07,680
Speaker 6: Combinator class with Emmett Sheer, who's now the CEO taking

423
00:23:07,720 --> 00:23:12,359
Speaker 6: over maybe on an interim basis, we don't know for

424
00:23:12,440 --> 00:23:12,960
Speaker 6: open Ai.

425
00:23:13,440 --> 00:23:17,440
Speaker 2: All these here, Sarah Emmit, Sarah Sheer is just simply

426
00:23:17,920 --> 00:23:20,040
Speaker 2: sitting in that position, keeping it warm until I think,

427
00:23:20,040 --> 00:23:22,639
Speaker 2: as you once said, until Elon Musk takes that seat.

428
00:23:22,760 --> 00:23:27,160
Speaker 6: Oh gosh, Yeah, Thanksgivings coming up. One thing I'm grateful

429
00:23:27,200 --> 00:23:30,440
Speaker 6: for is that that Elon Musk didn't end up getting

430
00:23:30,480 --> 00:23:32,280
Speaker 6: that CEO role over the weekend.

431
00:23:32,880 --> 00:23:35,639
Speaker 2: Hey, note that we're recording this on Tuesday afternoon, and

432
00:23:35,680 --> 00:23:39,280
Speaker 2: this is a very quickly developing story. The latest here

433
00:23:39,359 --> 00:23:42,240
Speaker 2: is that Altman is apparently now in talks to return

434
00:23:42,320 --> 00:23:46,280
Speaker 2: to open Ai Crazy times. So before we head into

435
00:23:46,320 --> 00:23:49,480
Speaker 2: our final segment here, we should mention that the SpaceX

436
00:23:49,560 --> 00:23:52,760
Speaker 2: starship launch that we previewed last week did indeed happen

437
00:23:52,800 --> 00:23:57,480
Speaker 2: on Saturday, and alas ended in flames. The flames, though,

438
00:23:57,680 --> 00:24:00,320
Speaker 2: came a little later than the last time on these

439
00:24:00,359 --> 00:24:03,400
Speaker 2: things went up in space, so Elon is a touch

440
00:24:03,480 --> 00:24:07,199
Speaker 2: closer to that Mars colony he's dreaming of. If you

441
00:24:07,200 --> 00:24:08,960
Speaker 2: want to know what's at stake with the launch and

442
00:24:09,000 --> 00:24:11,800
Speaker 2: all those going forward, picture to check out last week's spot.

443
00:24:14,720 --> 00:24:18,399
Speaker 2: Thanksgiving is just two days away, everyone, and our thoughts

444
00:24:18,440 --> 00:24:22,160
Speaker 2: here at least as always turned to the Musk family table.

445
00:24:22,800 --> 00:24:26,600
Speaker 2: In the past, it's been a pretty raucous and wild event. Max.

446
00:24:26,720 --> 00:24:29,240
Speaker 2: Paint us a picture here. What's it going to be

447
00:24:29,359 --> 00:24:29,960
Speaker 2: like this year?

448
00:24:30,560 --> 00:24:33,320
Speaker 3: I feel like all Thanksgiving dinners to some extent are

449
00:24:33,359 --> 00:24:36,960
Speaker 3: exercises in like avoiding politics, and you're just trying to

450
00:24:37,119 --> 00:24:38,880
Speaker 3: like sit there with your family just.

451
00:24:38,840 --> 00:24:42,760
Speaker 4: Like hoping head down, just can't avoid it. And so

452
00:24:42,840 --> 00:24:45,360
Speaker 4: I mean, I imagine it's kind of the same situation,

453
00:24:45,640 --> 00:24:48,680
Speaker 4: except it's all of them just hoping that Elon will,

454
00:24:48,760 --> 00:24:51,960
Speaker 4: like you do, not go on a wokeness rant, which

455
00:24:52,000 --> 00:24:55,880
Speaker 4: I again like that feels like a common Thanksgiving tableau

456
00:24:56,040 --> 00:24:58,920
Speaker 4: kind of brings everyone down, And I imagine that could

457
00:24:59,119 --> 00:25:01,880
Speaker 4: that's you know, almost inevitability, and the real the only

458
00:25:01,960 --> 00:25:03,760
Speaker 4: question is how do they kind of steer away from it?

459
00:25:04,320 --> 00:25:06,119
Speaker 2: Well, listen, the one thing that I'm hoping for this

460
00:25:06,200 --> 00:25:09,440
Speaker 2: Thanksgiving is so that Sarah Friar can get some rest

461
00:25:09,480 --> 00:25:13,720
Speaker 2: and that there isn't some like enormous open ai slash

462
00:25:14,080 --> 00:25:15,720
Speaker 2: x news on Thursday morning.

463
00:25:16,240 --> 00:25:17,440
Speaker 6: Okay, let's help.

464
00:25:20,320 --> 00:25:22,720
Speaker 2: All Right, that's it. Thanks for listening to Elon, Inc.

465
00:25:22,840 --> 00:25:26,879
Speaker 2: And thanks to our panel Sarah, Dana Max.

466
00:25:27,280 --> 00:25:29,000
Speaker 3: Great to be here, have a great week.

467
00:25:29,720 --> 00:25:30,200
Speaker 6: Thanks all.

468
00:25:37,240 --> 00:25:41,040
Speaker 2: This episode was produced by Stacy Wong, Naomi Shaven and

469
00:25:41,080 --> 00:25:45,480
Speaker 2: Rayhan Harmancia are senior editors. The idea for this very

470
00:25:45,560 --> 00:25:49,960
Speaker 2: show also came from Rayhon Blake Maples handles engineering, and

471
00:25:49,960 --> 00:25:54,320
Speaker 2: we get special editing assistant from Jeff Gropat. Our supervising

472
00:25:54,320 --> 00:25:58,120
Speaker 2: producer is Magnus Hendrickson, Thanks a bunch of Angel Rascio

473
00:25:58,520 --> 00:26:02,640
Speaker 2: and to BusinessWeek editor Weber as well. The Elon Inc.

474
00:26:02,800 --> 00:26:07,440
Speaker 2: Theme is written and performed by Taka Yasuzawa and Alex Sugiira.

475
00:26:08,240 --> 00:26:10,800
Speaker 2: Sage Bauman is the head of Bloomberg Podcast and our

476
00:26:10,840 --> 00:26:15,520
Speaker 2: executive producer. I am David Papadopoulos. If you have a minute,

477
00:26:15,760 --> 00:26:18,879
Speaker 2: rate and review our show, it'll help other listeners find

478
00:26:18,960 --> 00:26:22,160
Speaker 2: us happy Thanksgiving all. See you next week.