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Speaker 1: There Are No Girls on the Internet, as a production

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Speaker 1: of iHeartRadio and Unbossed Creative. I'm bridget Tad and this

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Speaker 1: is There Are No Girls on the Internet. We all

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Speaker 1: knew this day was going to come eventually when most

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Speaker 1: of us saw that Elon Musk was working with Donald Trump.

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Speaker 1: I think we were all thinking, it's only a matter

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Speaker 1: of time until these two split, and when it happens,

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Speaker 1: it is going to be messy. We waited, and we waited,

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Speaker 1: and it seems the day has come. So today's Thursday,

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Speaker 1: June fifth, twenty twenty five. It's about ten o'clock PM

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Speaker 1: Eastern time, and Donald Trump and Elon Musk have spent

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Speaker 1: most of today tearing each other apart on their respective

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Speaker 1: social media platforms, Elon posting on X of course and

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Speaker 1: Trump on True Social So setting aside that these two

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Speaker 1: billionaires are ridiculously posting at each other sniping on platforms

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Speaker 1: that they both prive we own, it has truly been

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Speaker 1: like one of those days. To be perfectly transparent. We

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Speaker 1: had started working on our typical news roundup. We had,

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Speaker 1: you know, written out all the stories, all of that.

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Speaker 1: Then my producer Mike and I were talking and we're

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Speaker 1: both like are you seeing this? This is wild. We

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Speaker 1: decided to scrap our regular news round up and just

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Speaker 1: talk about this, So I'm joined by producer Mike. We

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Speaker 1: sort of watched this go down in conversation, you and I.

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Speaker 2: Yeah, h bridge it it was. It has been quite

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Speaker 2: a day and it was like one thing after another

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Speaker 2: with these guys. Like I kind of spent the first

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Speaker 2: part of the day working on some other stuff, so

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Speaker 2: it was pretty heads down and not really paying attention

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Speaker 2: to social media. And then somebody messaged me and was like, Hey,

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Speaker 2: are you seeing this? And I was like, oh my god,

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Speaker 2: Oh my god. Wow he said that.

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Speaker 1: Yeah. I will say, I mean I most folks know

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Speaker 1: I kind of gave up on Twitter, even though I

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Speaker 1: do still have a platform, and I actually dust it

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Speaker 1: off mild Twitter account just to see what was happening

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Speaker 1: on that side of the digital woods. And I will say,

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Speaker 1: I don't think that we have had a day like

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Speaker 1: that on social media in a long time. But those

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Speaker 1: days where everybody's getting in on the jokes, everybody is

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Speaker 1: talking about it, that was that in the older iteration

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Speaker 1: of Twitter, there was no better time to be plugged

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Speaker 1: into black Twitter than these days where something was happening,

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Speaker 1: and nobody was getting any work done. Everybody was on Twitter, refreshing, refreshing, refreshing,

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Speaker 1: making jokes. The only the two days that come to

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Speaker 1: mind were, I think most recently, when the Queen died.

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Speaker 1: That was a day that I remember, a lot of

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Speaker 1: people had a lot to say. And then this one,

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Speaker 1: this one is like if you really are an og

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Speaker 1: the N word navy. That's a pretty good That's a

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Speaker 1: pretty good day on social media for me. But we

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Speaker 1: haven't had a day like this in a while. And

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Speaker 1: it's very funny to me that when we do get

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Speaker 1: a day like this for the first time on on

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Speaker 1: X because it's a terrible platform, it is about Elon Musk.

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Speaker 1: I find that to be so interesting.

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Speaker 2: Yeah, that's a good observation because I also signed into

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Speaker 2: X for the first time in what has to have

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Speaker 2: been months. I don't know, I don't go there at all.

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Speaker 2: I wonder how many other people signed in, And also,

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Speaker 2: somewhat ironically what I signed in. The first thing I

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Speaker 2: did was search for Elon Musk because I wanted to

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Speaker 2: see what he had been tweeting. And it's funny because

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Speaker 2: the last time I was there, the platform was aggressively

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Speaker 2: trying to get me to follow him. It was like

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Speaker 2: recommending accounts that you might want to follow, its like

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Speaker 2: Elon Musk, Steve Badden, and I was like, no, I

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Speaker 2: obviously I have no interest in following these. But the

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Speaker 2: thing that brought me back was wanting to see what

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Speaker 2: Elon had to say about his erstwhile buddy Trump.

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Speaker 1: So let's get into it. I have to give a

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Speaker 1: really big caveapp before we do, though it goes without

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Speaker 1: saying that we're talking about the report behavior of two liars.

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Speaker 1: I almost didn't want to make this episode because everybody

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Speaker 1: knows that you cannot take the behavior of two messy

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Speaker 1: stunt queens at face value, especially during a bad breakup

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Speaker 1: like that is just understanding the world one oh one, right,

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Speaker 1: especially when they're doing these big dramatic things that I think,

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Speaker 1: especially Elon, are meant to get people talking. You know,

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Speaker 1: I almost get kind of paranoid where I'm thinking, oh

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Speaker 1: my god, they want us to be talking about this drama.

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Speaker 1: Trump is a classic reality television show guy. That's where

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Speaker 1: he got his start. So this is classic Real Housewives

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Speaker 1: on Bravo villain behavior. I would say Trump is really

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Speaker 1: giving us Kenya Moore, right now, if you know, you

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Speaker 1: know where It's like I'm going to do something very

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Speaker 1: big and over the top, and everybody is going to

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Speaker 1: be talking about it is Trump.

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Speaker 2: The Kenya hearers elon.

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Speaker 1: Don't even get me started, because I will go all day. Okay,

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Speaker 1: but I I'll just add this and we can move on.

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Speaker 1: This is going to be like that interview where the

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Speaker 1: filmmaker David Lynch is being interviewed saying that Eraserhead is

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Speaker 1: his most spiritual film, and the interviewer says, oh, elaborate

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Speaker 1: on that, and David Lynch just goes, no, Donald Trump

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Speaker 1: is the White House's Kenny Ohmore. I will not be elaborating,

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Speaker 1: no questions.

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Speaker 2: Okay, there we have it.

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Speaker 1: So I almost, like I said, I almost didn't want

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Speaker 1: to get into this, however, and this is gonna sound

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Speaker 1: like it sounds, but I truly have so little in

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Speaker 1: my life right now that I deserve it. I just

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Speaker 1: I deserve to have a little key key about this breakup.

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Speaker 2: Honestly, I felt the same way. It's it's been rough,

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Speaker 2: and uh yeah, these guys are liars. I share your

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Speaker 2: concern that this is all some sort of elaborate con

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Speaker 2: that they're pulling on us. Uh.

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Speaker 1: But because they're con men, because they are gone men.

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Speaker 2: That's what they do. They've both become enormously wealthy through conning.

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Speaker 2: So uh but I don't know. I'm with you. It's

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Speaker 2: just it's too good. It was really fun putting this together,

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Speaker 2: working on this script with you. You know, like, isn't it

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Speaker 2: It's just nice to hate on two people who are

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Speaker 2: pretty contemptible at the end of the day.

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Speaker 1: Yeah, you were telling me about that Russian expression.

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Speaker 2: Yes, a friend told me about this Russian saying that

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Speaker 2: describes the situation where you have two equally unsympathetic forces

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Speaker 2: who are engaged in some kind of rivalry or you know,

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Speaker 2: contest that you hope damages both of them because they're

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Speaker 2: both so unsympathetic and contemptible. You can say, and my

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Speaker 2: Russian is awful yebela jaba god yuku, which means the

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Speaker 2: toad fucked the viper.

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Speaker 1: Wait, so if Trump is the ken Yo moore of

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Speaker 1: the situation, who which one is the toad and which

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Speaker 1: one is the viper? Actually, don't answer that. I can

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Speaker 1: see your gears turning. You would be like, actually, I

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Speaker 1: I've thought about this and here's why. Here's my very

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Speaker 1: analytical breakdown as to why Elon Musk is the toad

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Speaker 1: in this situation and not the viper.

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Speaker 2: I think they both think they're the toad. Oh good,

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Speaker 2: call just two toads fucking each other.

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Speaker 1: So let's take a little bit of a flashback back

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Speaker 1: to rosier times between these two. If this was a

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Speaker 1: Lifetime movie, there would be like a flowery song playing

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Speaker 1: right now while we reminisce on better days. So in

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Speaker 1: July twenty twenty two, Trump claimed that Elon Musk was

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Speaker 1: quote desperate to meet with him and said that Musk

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Speaker 1: had come to the White House during Trump's first term

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Speaker 1: asking for assistance with subsidized projects. And Trump was really

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Speaker 1: gloating about how much Elon Musk essentially humiliated himself at

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Speaker 1: the feet of Donald Trump. He even bragged that if

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Speaker 1: Musk had been asked to beg on his hands and knees,

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Speaker 1: he would have done it. So on July thirteenth, twenty twenty,

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Speaker 1: you might remember, during a campaign rally in Butler, Pennsylvania,

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Speaker 1: Trump was allegedly shot at. That is what pushed Muk

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Speaker 1: to formally endorse him. He said, I fully endorse President

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Speaker 1: Trump and hope for his rapid recovery. In the weeks

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Speaker 1: that followed, Musk became a top Trump donor. The Post

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Speaker 1: reported that he spent two hundred and eighty eight million

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Speaker 1: on Trump and other Republicans ahead of the November election.

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Speaker 1: Musk also went on the campaign trail for him, rallying

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Speaker 1: for him and being the very public base of the

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Speaker 1: campaign in battleground states like Pennsylvania that Trump would go

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Speaker 1: on to win. There is a very memorable image of

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Speaker 1: this event where Elon is on the stage next to

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Speaker 1: Trump and he's doing this leap in the air and

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Speaker 1: his shirt's coming up and you can see his stomach

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Speaker 1: and his legs are kind of bent behind him, and

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Speaker 1: he he. I guess I just feel like, when a

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Speaker 1: man has you leaping into the air with glee, you

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Speaker 1: got it. You are down bad, but you got it bad.

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Speaker 2: I would believe it. I am trying to think back

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Speaker 2: to the last time I leapt with glee. It's been

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Speaker 2: a while.

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Speaker 1: I don't think that a man has, nor ever could

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Speaker 1: have me out here being photographed navel out leaping with glee.

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Speaker 1: I just don't see it. I just don't see it.

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Speaker 1: So I will say I mean, like, I think Elon

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Speaker 1: was experiencing a passion that I have yet to experience, right, Like,

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Speaker 1: I like that image of him. He is a jubilation, I.

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Speaker 2: Think, so. I mean, I do wonder if he was

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Speaker 2: experiencing like true joy for the first time, or if

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Speaker 2: he was just like doing a Nathan Fielder style performance

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Speaker 2: of what he thought joy is supposed to look like,

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Speaker 2: or if he was.

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Speaker 1: Just hi out of his mind, out of his car.

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Speaker 1: I mean, I've been there, okay, So I want you

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Speaker 1: to have that image in your head. And you know,

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Speaker 1: on each true Hollywood story where the happy picture suddenly

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Speaker 1: turns black and white because the good times are over,

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Speaker 1: and then the music gets into a minor key, do

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Speaker 1: you know what I'm talking about?

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Speaker 2: Yeah? Totally.

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Speaker 1: They were friends, dude, until they weren't. So that is

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Speaker 1: why I want you to be thinking when we pivot

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Speaker 1: to this next part, like Elon frozen in midair midleap,

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Speaker 1: as the scene fades to black and there is like

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Speaker 1: a minor key piano note, very gloomy playing because May thirtieth,

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Speaker 1: twenty twenty five rolls around and Musk resigns from his

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Speaker 1: role at DOGE after one hundred and fourteen days, signing

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Speaker 1: a need to focus on his failing businesses. His position

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Speaker 1: was in the White House was sort of always meant

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Speaker 1: to come to an end after a while because special

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Speaker 1: government employees are a class of temporary workers that Musk was,

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Speaker 1: and they can only typically work one hundred and thirty

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Speaker 1: days in a calendar year, though that time could be

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Speaker 1: split up, so it is possible that Musk could have

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Speaker 1: worked another couple of weeks if Trump had wanted him to. Also, like,

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Speaker 1: who knows, because neither of them really care much about

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Speaker 1: following the law, but that's what the law says, one

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Speaker 1: hundred and thirty days. So the White House first publicly

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Speaker 1: acknowledged Musk's role on February third, so he's probably winding

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Speaker 1: down the clock on that one hundred and thirty days.

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Speaker 1: So him leaving around this time in and of itself

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Speaker 1: is not particularly juicy. At this point, Musk also starts

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Speaker 1: saying that he is done with politics, saying that I

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Speaker 1: think I've done enough. Just last week, on May twenty eighth,

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Speaker 1: he said that he was stepping back from politics, saying,

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Speaker 1: I think in terms of political spending, I'm going to

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Speaker 1: do a lot less in the future. I think I've

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Speaker 1: done enough. The White House held this very weird farewell event.

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Speaker 1: I watched part of it. It was sort of just weird,

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Speaker 1: and somber Trump said that Musk is not really leaving

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Speaker 1: because he's always going to be my advisor and we're

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Speaker 1: always going to be friends.

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Speaker 2: Oh my god.

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Speaker 1: So the event itself was pretty tame, but there was

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Speaker 1: tons of drama behind the scenes, like, for instance, Elon

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Speaker 1: Musk showed up to this farewell event a black eye.

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Speaker 1: By the way, I I initially was referring to this

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Speaker 1: as a shiner, but I was on a call with

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Speaker 1: a bunch of gen Z folks and I was like, oh, yeah,

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Speaker 1: just he had a shiner, and everybody was like, what's

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Speaker 1: a shiner? And I was surprised to learn that shiner

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Speaker 1: is sort of old timey slang for a black eye.

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Speaker 2: Yeah. You you brought this up to me, and I've

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Speaker 2: been thinking about it. You grew up in a household

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Speaker 2: where boxing was like a pretty important sport, right, Like,

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Speaker 2: your dad was a boxer, your brother box You boxed,

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Speaker 2: so you were probably getting black eyes all the time.

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Speaker 1: Yeah, giving a shiner and getting a shiner were not

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Speaker 1: unusual things on my household. And they were. It was

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Speaker 1: like a common topic of conversation that was not unusual. So, yeah,

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Speaker 1: a black eye is so cumbersome and happened, you got

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Speaker 1: to just like shorten it to shiner.

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Speaker 3: You know.

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Speaker 2: Yeah, I guess for most of us that wasn't a

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Speaker 2: real issue. You know, I don't want to like prompt

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Speaker 2: any critical reevaluations of your childhood, but uh, yeah, for

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Speaker 2: most of us didn't come up that often.

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Speaker 1: Well, So Musk said that his shiner was given to

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Speaker 1: him by his four year old son. Some people watching

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Speaker 1: had some questions like, how does a four year old

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Speaker 1: toddler give a grown man a shiner? Or is this

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Speaker 1: liar perhaps lying about how he got this black eye?

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Speaker 1: So one explanation comes from Steve Bannon, who I should

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Speaker 1: note is a longtime enemy of Elon Musk's and again

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Speaker 1: himself is a liar and a criminal. So Steve Bannon

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Speaker 1: was a chief strategist during Trump's first term in office.

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Speaker 1: He told The Daily Mail that Musk's turbulent time in

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Speaker 1: the White House took a dramatic turn when he allegedly

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Speaker 1: shoved sixty two year old Treasury Secretary Scott Bessant during

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Speaker 1: a heated exchange. Now, according to Bannon, again known liar.

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Speaker 1: So I don't know. That's going to be a theme,

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Speaker 1: is that everybody who comes up in this is a liar.

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Speaker 1: So you just don't know what's going on. He's like, well,

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Speaker 1: they lie, he lied, They're all liars. I don't know

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Speaker 1: what's going on. So Bannon said that bessn't confronted Musk

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Speaker 1: over his sweeping but yet unfulfilled promises to deliver one

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Speaker 1: trillion dollars in budget cuts. Scott Bessont called him out

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Speaker 1: and said, you promised us a trillion dollars in cuts

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Speaker 1: and now you're at like one hundred billion. Nobody can

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Speaker 1: find any savings. What are you doing? Bannon recounted, and

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Speaker 1: that's when Elon got physical. It's a source subject with him.

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Speaker 1: Bannon said, it wasn't an argument, it was a physical confrontation.

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Speaker 1: Elon basically shoved him.

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Speaker 2: So one thing I do want to interject here to

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Speaker 2: this story is that according to Steve Bannon, here Scott Besson,

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Speaker 2: the Treasury Secretary is mad at Elon Musk because Elon

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Speaker 2: Musk like didn't find enough fraud and waste and cuts.

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Speaker 2: But like Scott Bessett is the Treasury secretary, right, Like,

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Speaker 2: shouldn't that be his deal, like his job, shouldn't he

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Speaker 2: know more about the budget and like the Treasury then

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Speaker 2: Elon Musk. Not that I'm trying to defend Musk here

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Speaker 2: or anything, but like, I don't even want to say

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Speaker 2: this story doesn't make sense because in Trump world maybe

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Speaker 2: this is how it works, but like, it sounds stupid.

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Speaker 1: It sounds stupid, and something about it doesn't sound right

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Speaker 1: to me. And also the fact that it's Steve Bannon,

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Speaker 1: longtime Elon Musk enemy, running to the Daily Mail to

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Speaker 1: be like, oh, she shoved him. I agree with you.

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Speaker 1: Something doesn't sound something in the butter milk's not clean

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Speaker 1: on this one. I don't know exactly what happened, but

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Speaker 1: I agree it doesn't sound quite right to me. Also,

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Speaker 1: if you want to get really messy, like what the

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Speaker 1: realty is according to rumors, This is not me saying this.

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Speaker 1: This has been reported in places like The Gray Lady,

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Speaker 1: The New York Times. Stephen Miller and his wife Katie

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Speaker 1: are allegedly Again, I am not saying this. This is

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Speaker 1: what I have read from reporting in some kind of

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Speaker 1: a throuple with Elon Musk. Question Mark obviously I'm not there.

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Speaker 1: I could not say whether this is true or not.

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Speaker 1: I've not seen any evidence myself. However, Katie Miller is

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Speaker 1: leaving the White House to go work from USK personally.

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Speaker 1: Apparently her job has something to do with communications from

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Speaker 1: USK Percy and she might be helping to arrange interviews

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Speaker 1: for him. I know if I were married to Stephen Miller,

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Speaker 1: I'd also be looking to hitch my wag into somebody

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Speaker 1: who could get me off the planet and sidebar. I

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Speaker 1: hate to give Elon Musk any credit here, like me

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Speaker 1: and him have be forever. However, I have to give

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Speaker 1: him credit on this one. Stephen Miller to Elon Musk,

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Speaker 1: I hate to say it is an upgrade, right.

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Speaker 2: It's amazing how every character in this story just gets

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Speaker 2: worse and worse, like Stephen Miller is. I do believe

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Speaker 2: he is of the undead. I don't think he is

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Speaker 2: of the living. I think he feeds on the misery

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Speaker 2: of the living. That is what sustains him.

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Speaker 1: I once saw somebody on Twitter say he looks like

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Speaker 1: he drinks the milk right from the utter. Do you

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Speaker 1: know what a like piece of shit you have to

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Speaker 1: be to have your wife leave you for Elon Musk

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Speaker 1: and have everybody agree, like, well, kind of an upgrade,

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Speaker 1: like you you like, really there is nothing lower.

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Speaker 2: Yeah. I look forward to some point in the future,

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Speaker 2: assuming any of us are still alive, and like writing

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Speaker 2: books to like the retrospective documentary about Steven Miller, just

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Speaker 2: to understand, like what is going on with him, because

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Speaker 2: he he just seems to like hate everyone.

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Speaker 1: You know, back in college, he was writing op eds

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Speaker 1: about how the other students shouldn't be nice to the

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Speaker 1: janitorial staff because that's what they're paid to clean up

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Speaker 1: after us. Like that was his whole thing. Like he

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Speaker 1: has been a hateful son of a bitch his whole life,

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Speaker 1: even when he was youthful. Go back and look up

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Speaker 1: pictures of him in college. In college, I feel like

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Speaker 1: most people in college, even a horrible people. You're like, oh,

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Speaker 1: I can see he's like bright, eye, full of life,

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Speaker 1: like he has a lot going for hi, YadA, YadA YadA.

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Speaker 1: Stephen Miller somehow looks worse back then. He somehow looks

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Speaker 1: more hate filled than he does now, just in a

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Speaker 1: different way, like a permanent sneer, as like a college

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Speaker 1: student an undergrad. I'm not kidding, Like, look up a

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Speaker 1: picture of him. If you've not seen it.

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Speaker 2: I would say that we would post it in the

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Speaker 2: show notes. But we're not going to do that to

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Speaker 2: our listeners.

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Speaker 1: Absolutely not. Absolutely not.

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Speaker 3: Let's take a quick break at our back.

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Speaker 1: Okay, So back to Musk. So over the weekend, after

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Speaker 1: Musk officially left his position within the administration late last week,

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Speaker 1: things already started to unravel. Trump announced that he was

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Speaker 1: pulling the nomination of Musk ally Jared Isaacman to lead NASA,

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Speaker 1: a nomination that Trump had been glowingly talking about back

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Speaker 1: in December and was already approved by the said at

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Speaker 1: subcommittee sidebar. It's totally fine to have Elon Musk hiring

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Speaker 1: and promoting people to run NASA, you know, the government

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Speaker 1: organization that he has so many contracts with. That's totally fine.

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Speaker 1: Nothing to see there. Let's just move on. So Trump

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Speaker 1: pulling this nomination at the eleventh hour was a shock

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Speaker 1: to all parties, and it seems like it was a

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Speaker 1: pretty transparent retaliatory move against Elon Musk. Trump confirmed today

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Speaker 1: that this was a point of contention with Musk as

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Speaker 1: part of today's big Tea spilling. Now, of course, because

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Speaker 1: it's Trump, he could be lying. It's hard to know

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Speaker 1: what these two because they both constantly lie and grandstand

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Speaker 1: about everything. But this is some good drama. I don't care.

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Speaker 1: I'm talking about it. Okay, So fast forward to June. First,

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Speaker 1: Elon starts his first public attacks against Trump's big, beautiful

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Speaker 1: budget bill. But don't get too excited. He is against

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Speaker 1: this bill because even though this bill deeply guts the

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Speaker 1: public safety Net, it does not gut the public safety

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Speaker 1: net enough for Elon Musk's liking. And also, Elon Musk

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Speaker 1: does not personally benefit enough from this bill, so he

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Speaker 1: doesn't like it. Musk calls the bill, which is horrible

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Speaker 1: for all the reasons that we've talked about on the podcast.

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Speaker 1: He calls it a disgusting abomination due to its massive

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Speaker 1: spending and cuts to electric vehicle initiatives. He tweeted, I'm sorry,

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Speaker 1: but I can't stand it anymore. This massive, outrageous, pork

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Speaker 1: filled congressional spending bill is a disgusting abomination. Shame on

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Speaker 1: those who voted for it. You know you did wrong.

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Speaker 1: You know it. Also, these tweets are like a little much.

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Speaker 1: I mean, he's tweeting like somebody out of a Shakespeare play.

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Speaker 1: One of the wildest things to see from this was

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Speaker 1: a lot of Democrats were low key praising Elon Musk

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Speaker 1: for this take, which was interesting. Representative Rocana from California,

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Speaker 1: who represents Silicon Valley and it's known Musk. They're they're

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Speaker 1: really friendly, they've been friends for a decade, said that

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Speaker 1: Democrats should be in a dialogue with Musk given their

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Speaker 1: shared opposition to this bill. He said, we should ultimately

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Speaker 1: be trying to convince him that the Democratic Party has

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Speaker 1: more of the values he agrees with, a commitment to

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Speaker 1: science funding, a commitment to clean technology, a commitment to

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Speaker 1: seeing international students like him. I will say, like not

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Speaker 1: to give him a pass, but he represents Silicon Valley,

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Speaker 1: he's friendly with Musk. I feel like he would like

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Speaker 1: he would say this. This is not surprising to me.

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Speaker 2: Yeah, I definitely do not give him a pass for this.

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Speaker 2: I can't believe these efforts to like immediately try to

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Speaker 2: woo Musk as like a democratic ally or something like

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Speaker 2: all those things that Rokana listed their there were like

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Speaker 2: areas of policy agreement, not values agreement. You know, democratic

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Speaker 2: values are things like Nazis are bad which is something

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Speaker 2: that Musk clearly disagrees with. He supports science funding when

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Speaker 2: it's going directly into his own pocket. He's committed to

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Speaker 2: clean technology when it means massive subsidies for Tesla. Meanwhile,

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Speaker 2: he's installed dozens of small and efficient gas generators in

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Speaker 2: a Tennessee neighborhood to power his data center there. And

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Speaker 2: his commitment to international students is making sure they keep

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Speaker 2: working eighty hours a week at his companies on the cheap,

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Speaker 2: because they'll lose their visas and have to go home

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Speaker 2: if they don't. So maybe there are some policy areas

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Speaker 2: where Representative Kana might be able to work with Musk,

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Speaker 2: And if so, that's fine, That's how politics works. But

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Speaker 2: I really resent the effort to sell the public and

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Speaker 2: Democratic Party members democratic voters on the idea that mister

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Speaker 2: Nazi salute himself is suddenly aligned with the values of

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Speaker 2: the Democratic Party. Have some self respect.

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Speaker 1: Yeah, dog shit take from Representative Khanna here, I have

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Speaker 1: to say, like, you really sum it up well, Okay,

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Speaker 1: So what is your take on Representative Richie Torres from

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Speaker 1: New York. He says, I'm a believer in redemption and

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Speaker 1: Musk is telling the truth about the legislation, but he added,

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Speaker 1: Musk has done an enormous amount of damage and that

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Speaker 1: there are Democrats who would see his decimation of the

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Speaker 1: federal workforce of the federal government as an unforgivable sin.

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Speaker 1: Richie torres Elon Musk is not telling the truth about

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Speaker 1: this bill. What he is saying is the bills draconian

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Speaker 1: cuts to social spending do not go far enough. He

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Speaker 1: wants to cut more. So, No, Mitchie torrez Elon Musk

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Speaker 1: is not telling the truth about like have some nuance.

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Speaker 2: It's like a debasement of the idea of truth. You know,

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Speaker 2: like him saying this bill is bad. That's not enough

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Speaker 2: to count as truth, right, Like, the truth is that

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Speaker 2: this bill aims to kick millions of people off Medicaid

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Speaker 2: and other forms of assistance. It aims to decimate research

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Speaker 2: and a ton of areas that matter to all of us.

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Speaker 2: It's trying to decimate climate funding. Also that they can

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Speaker 2: cut taxes for the rich keep subsidizing the fossil fuel industry.

430
00:24:41,119 --> 00:24:44,159
Speaker 2: So no, he's not telling the truth about this legislation.

431
00:24:44,480 --> 00:24:49,520
Speaker 2: He's opposing it for reasons that are entirely self serving.

432
00:24:49,640 --> 00:24:53,119
Speaker 1: Yeah, someone saying that something that you don't like is

433
00:24:53,200 --> 00:24:57,480
Speaker 1: bad for the worst reasons. Doesn't does not mean that

434
00:24:57,520 --> 00:25:00,159
Speaker 1: they're right. Like, just because he doesn't like it and

435
00:25:00,240 --> 00:25:03,199
Speaker 1: you don't like it for completely different reasons, does not

436
00:25:03,280 --> 00:25:06,480
Speaker 1: mean that you are in agreement, like they're just I

437
00:25:06,480 --> 00:25:08,359
Speaker 1: cannot sometimes I can't. I mean, I will talk all

438
00:25:08,400 --> 00:25:10,359
Speaker 1: day sometimes I cannot believe that these are the people

439
00:25:10,359 --> 00:25:13,840
Speaker 1: that have been elected to represent us. So up until

440
00:25:13,880 --> 00:25:18,880
Speaker 1: this point, Trump had been publicly but vaguely praising Musk's

441
00:25:18,920 --> 00:25:21,159
Speaker 1: time at the White House, even as all this drama

442
00:25:21,280 --> 00:25:22,439
Speaker 1: swirled behind the scenes.

443
00:25:22,840 --> 00:25:27,040
Speaker 2: Vaguely is the only way Trump talks about anything.

444
00:25:27,320 --> 00:25:30,160
Speaker 1: Oh have you seen any of how he would talk

445
00:25:30,200 --> 00:25:34,480
Speaker 1: about Elon Musk before this afternoon. He would say things like, oh,

446
00:25:34,680 --> 00:25:37,200
Speaker 1: you know, he's been great. He's just we just think

447
00:25:37,400 --> 00:25:40,800
Speaker 1: so he's so good, and you know it's I mean,

448
00:25:40,840 --> 00:25:45,119
Speaker 1: it's it's up there with beautiful gowns, beautiful gowns, like

449
00:25:45,920 --> 00:25:48,320
Speaker 1: so vague, dude, I don't know if you get that reference.

450
00:25:49,240 --> 00:25:52,760
Speaker 1: When the late Aretha Franklin God Rest her Soul was

451
00:25:52,800 --> 00:25:56,000
Speaker 1: asked about all these different female artists if they were

452
00:25:56,040 --> 00:25:58,119
Speaker 1: good singers, it would be like, oh, what do you

453
00:25:58,119 --> 00:26:00,960
Speaker 1: think of lady Gagash. She be a beautiful sick, great range,

454
00:26:01,280 --> 00:26:05,639
Speaker 1: great vocals. What do you think of Riah Carey, beautiful singer,

455
00:26:06,080 --> 00:26:11,600
Speaker 1: real song stress, well songstressed, Taylor Swift, great downs, beautiful gowns. Really,

456
00:26:11,840 --> 00:26:15,080
Speaker 1: her gowns are great. Like the way that he would

457
00:26:15,080 --> 00:26:17,800
Speaker 1: just be like, oh, Elon Musk has done a great job.

458
00:26:17,840 --> 00:26:21,800
Speaker 1: We like him. He is great, never mentioning a single

459
00:26:21,840 --> 00:26:25,200
Speaker 1: specific thing. That's how you kind of knew even before

460
00:26:25,240 --> 00:26:28,280
Speaker 1: this afternoon that something was up, because Donald Trump is

461
00:26:28,440 --> 00:26:31,480
Speaker 1: like a verbose person often, and so when he really

462
00:26:31,680 --> 00:26:34,679
Speaker 1: has something to say about something, he like really says it.

463
00:26:35,040 --> 00:26:37,560
Speaker 1: Do you remember back in the early days of COVID

464
00:26:37,880 --> 00:26:40,679
Speaker 1: when the COVID test was awful and it was that

465
00:26:40,760 --> 00:26:45,200
Speaker 1: like really long swab that went deep into your brain. Clearly,

466
00:26:45,920 --> 00:26:48,680
Speaker 1: Donald Trump hated that COVID test because whenever he was

467
00:26:48,720 --> 00:26:51,600
Speaker 1: asked about COVID testing, he'd be like, the current iteration

468
00:26:51,760 --> 00:26:54,359
Speaker 1: is not too nice, Like he would really talk about

469
00:26:54,400 --> 00:26:56,960
Speaker 1: it in specifics. So when he has something to say,

470
00:26:57,520 --> 00:27:01,040
Speaker 1: he really is quite like descript dip about it. And

471
00:27:01,080 --> 00:27:03,880
Speaker 1: so when asked about Elon Musk, where he was like, oh,

472
00:27:03,920 --> 00:27:06,879
Speaker 1: great guy, great guy, nothing to add you really knew

473
00:27:07,119 --> 00:27:09,880
Speaker 1: he was holding back and something was up. So that

474
00:27:09,920 --> 00:27:15,119
Speaker 1: brings us to today when the s hits the f

475
00:27:16,000 --> 00:27:18,600
Speaker 1: During a meeting on June fifth, twenty twenty five, the

476
00:27:18,640 --> 00:27:20,960
Speaker 1: day that we're recording this, So, during a meeting in

477
00:27:21,000 --> 00:27:23,879
Speaker 1: the Oval Office with newly elected German Chancellor Frederick Mahers,

478
00:27:24,080 --> 00:27:29,280
Speaker 1: Trump started to express some some due disappointment in Musk's criticism. Now,

479
00:27:29,280 --> 00:27:33,080
Speaker 1: according to various news articles, Trump was genuinely shocked that

480
00:27:33,200 --> 00:27:36,280
Speaker 1: Musk would attack his big, beautiful bill, while the German

481
00:27:36,400 --> 00:27:40,400
Speaker 1: chancer just sort of did the kind of Homer Simpson

482
00:27:40,520 --> 00:27:43,400
Speaker 1: retreating into the green grass bush. She's like, Oh, I'm

483
00:27:43,520 --> 00:27:45,760
Speaker 1: just gonna stay out of this and probably thinking, like

484
00:27:45,840 --> 00:27:47,760
Speaker 1: what the heck is going on. I'm here in the

485
00:27:47,800 --> 00:27:52,680
Speaker 1: White House and like Trump is crashing out over Elon Musk.

486
00:27:52,720 --> 00:27:57,320
Speaker 1: What's going on? So? Trump suggested that Musk's objections were

487
00:27:57,359 --> 00:27:59,480
Speaker 1: self serving and that the only reason that he didn't

488
00:27:59,520 --> 00:28:03,080
Speaker 1: like the bill was because it eliminated subsidies for electric cars,

489
00:28:03,359 --> 00:28:07,359
Speaker 1: a move that would directly hurt Musk's company, Tesla. Trump

490
00:28:07,400 --> 00:28:09,840
Speaker 1: said that Musk knew all along with these subsidies would

491
00:28:09,840 --> 00:28:12,000
Speaker 1: be eliminated even before the text of the bill was

492
00:28:12,040 --> 00:28:17,560
Speaker 1: public in like Dwight Shreut style, Musk hits back false.

493
00:28:18,080 --> 00:28:20,359
Speaker 1: This bill was never shown to me even once, and

494
00:28:20,520 --> 00:28:22,800
Speaker 1: was passed in the dead of night, so fast that

495
00:28:22,880 --> 00:28:25,879
Speaker 1: almost no one in Congress could even read it. I

496
00:28:25,920 --> 00:28:28,080
Speaker 1: will say this about that, which is that One of

497
00:28:28,080 --> 00:28:29,760
Speaker 1: the stories I was going to talk about in the

498
00:28:29,840 --> 00:28:32,320
Speaker 1: News Roundup this week was how Marjorie Taylor Green was

499
00:28:32,359 --> 00:28:35,959
Speaker 1: saying that she voted for this bill not knowing about

500
00:28:36,040 --> 00:28:39,600
Speaker 1: the provision in the bill where states could not enforce

501
00:28:39,720 --> 00:28:43,120
Speaker 1: laws around AI for ten years. And she was saying,

502
00:28:43,600 --> 00:28:47,200
Speaker 1: you know, I didn't read the bill. I missed that part.

503
00:28:47,320 --> 00:28:49,640
Speaker 1: I'm a big states rights person, so I would never

504
00:28:49,760 --> 00:28:51,480
Speaker 1: have have voted for this if I had known that

505
00:28:51,520 --> 00:28:53,960
Speaker 1: was in there. And I remember thinking, like a girl,

506
00:28:54,000 --> 00:28:57,040
Speaker 1: you had to read the bill, like what what? Like what?

507
00:28:57,200 --> 00:28:58,920
Speaker 1: That's a kind of your like the main part of

508
00:28:58,960 --> 00:29:02,120
Speaker 1: your job. Then I watched a longer interview that she

509
00:29:02,160 --> 00:29:04,640
Speaker 1: did on News Nation where she essentially says the same

510
00:29:04,720 --> 00:29:05,760
Speaker 1: thing that Musk is saying.

511
00:29:05,800 --> 00:29:06,040
Speaker 3: Here.

512
00:29:06,400 --> 00:29:09,360
Speaker 1: Again both liars, so who the fuck knows? But she

513
00:29:09,440 --> 00:29:12,400
Speaker 1: said that they gave her the full text of the

514
00:29:12,440 --> 00:29:15,680
Speaker 1: bill so close to the vote and at night that

515
00:29:15,720 --> 00:29:19,160
Speaker 1: she didn't have time to read it. Again, she is

516
00:29:19,200 --> 00:29:21,600
Speaker 1: also a liar, so I'm not taking her at her word,

517
00:29:21,640 --> 00:29:23,720
Speaker 1: but just some context there that I was sort of

518
00:29:23,760 --> 00:29:27,520
Speaker 1: ready to drag her for not having read this bill,

519
00:29:27,640 --> 00:29:31,960
Speaker 1: and that both Musk and Green are saying they gave

520
00:29:31,960 --> 00:29:33,760
Speaker 1: it to us so close to the vote that we

521
00:29:33,800 --> 00:29:35,840
Speaker 1: didn't have time to read it. So who knows.

522
00:29:36,160 --> 00:29:39,760
Speaker 2: Yeah, So, but we can break down a little bit

523
00:29:39,800 --> 00:29:44,080
Speaker 2: of which of these lying liars is lying about this

524
00:29:44,120 --> 00:29:48,160
Speaker 2: particular thing. So, like we do know that, like it's

525
00:29:48,160 --> 00:29:51,520
Speaker 2: true that the final text of the bill wasn't available

526
00:29:52,160 --> 00:29:55,360
Speaker 2: until like hours before they were forced to vote on it.

527
00:29:55,440 --> 00:29:59,440
Speaker 2: So so Marjorie Taylor Green is not lying about that.

528
00:29:59,720 --> 00:30:04,480
Speaker 2: How she should still be dragged because it's just inexcusable

529
00:30:04,760 --> 00:30:08,200
Speaker 2: to vote to make something a law when you don't

530
00:30:08,200 --> 00:30:12,240
Speaker 2: even know what you're voting for. I mean, I guess

531
00:30:12,280 --> 00:30:17,360
Speaker 2: that's the kind of bootlicking subservience to authority that the

532
00:30:17,480 --> 00:30:25,160
Speaker 2: Republican House is like into these days. But like, yeah,

533
00:30:25,360 --> 00:30:27,600
Speaker 2: I believe that she didn't know the text of the bill,

534
00:30:28,640 --> 00:30:31,640
Speaker 2: and I guess I would believe that, you know, Elon

535
00:30:31,760 --> 00:30:35,600
Speaker 2: didn't get a chance to read the bill before it

536
00:30:35,880 --> 00:30:42,320
Speaker 2: was passed. Either. However, it also is not any surprise

537
00:30:42,440 --> 00:30:46,680
Speaker 2: to anyone that electric vehicle subsidies were eliminated. I mean

538
00:30:47,080 --> 00:30:51,080
Speaker 2: Trump said that over and over again on the campaign trail,

539
00:30:53,480 --> 00:30:57,360
Speaker 2: and it was also just like patently obvious to anyone

540
00:30:57,440 --> 00:31:01,640
Speaker 2: who was even remotely paying attention that the Republican Congress

541
00:31:01,760 --> 00:31:09,480
Speaker 2: was gonna cut anything in everything related to green energy

542
00:31:09,760 --> 00:31:12,400
Speaker 2: or trying to deal with climate change. So of course

543
00:31:12,440 --> 00:31:14,640
Speaker 2: that was going to be cut. So for Musk to

544
00:31:14,720 --> 00:31:20,480
Speaker 2: act all shocked about it, I think he's lying.

545
00:31:20,960 --> 00:31:23,560
Speaker 1: Well. One quick thing about Marjorie Taylor Green is that

546
00:31:23,680 --> 00:31:27,960
Speaker 1: in that News Nation interview, I do like that she says,

547
00:31:28,560 --> 00:31:30,760
Speaker 1: don't I get some credit for admitting I didn't read it.

548
00:31:31,960 --> 00:31:37,440
Speaker 1: I just thought that was really funny. Like, okay, So,

549
00:31:37,480 --> 00:31:42,840
Speaker 1: but with the electric vehicle subsidies, Trump, when he was

550
00:31:42,920 --> 00:31:47,800
Speaker 1: hitting back on truth Social he basically was like, you

551
00:31:47,880 --> 00:31:52,440
Speaker 1: knew Elon knew that I was removing those the provisions

552
00:31:52,520 --> 00:31:57,480
Speaker 1: that forced people to buy garbage electric vehicles that nobody wants.

553
00:31:57,640 --> 00:32:01,040
Speaker 1: So it's not just like Elon or removing this provision.

554
00:32:01,440 --> 00:32:05,120
Speaker 1: It's your cars are garbage and nobody wants them. And

555
00:32:05,160 --> 00:32:09,800
Speaker 1: you know this like it's so high school, like this,

556
00:32:10,080 --> 00:32:13,560
Speaker 1: This just reminds me of a lot of the drama

557
00:32:13,600 --> 00:32:16,760
Speaker 1: that I had when I was growing up of there's

558
00:32:16,800 --> 00:32:19,880
Speaker 1: a way to say this where it's just here's the facts.

559
00:32:19,920 --> 00:32:21,520
Speaker 1: You knew this, You were aware of this. Da da

560
00:32:21,560 --> 00:32:24,600
Speaker 1: da da as you said, that's not what Trump said.

561
00:32:24,640 --> 00:32:27,479
Speaker 1: Trump said your cars are garbage and don't nobody want them,

562
00:32:27,480 --> 00:32:29,360
Speaker 1: and you know this, and that's why you're upset.

563
00:32:29,560 --> 00:32:31,960
Speaker 2: But also he has been saying that same shit for

564
00:32:32,080 --> 00:32:37,640
Speaker 2: ten years. You know, maybe Elon was like dissociating to

565
00:32:37,720 --> 00:32:40,360
Speaker 2: be like, oh, this is my buddy when he says

566
00:32:40,760 --> 00:32:43,080
Speaker 2: that he hates electric cars and he's going to end

567
00:32:43,120 --> 00:32:48,400
Speaker 2: the subsidies, what he means is some other thing.

568
00:32:48,680 --> 00:32:51,360
Speaker 1: Babe, have you ever been in a relationship before Elon

569
00:32:51,440 --> 00:32:55,680
Speaker 1: can fix him? He's like, I can fix him. I mean,

570
00:32:55,720 --> 00:32:58,640
Speaker 1: I've I've been this girl in a relationship of like,

571
00:32:59,280 --> 00:33:03,680
Speaker 1: he doesn't mean this stuff that he says constantly and does.

572
00:33:05,000 --> 00:33:07,080
Speaker 1: This is a surprise to me to find this out,

573
00:33:07,200 --> 00:33:09,240
Speaker 1: and I am hurt, even though he's been saying the

574
00:33:09,320 --> 00:33:12,000
Speaker 1: same thing for many years, very clearly in both his

575
00:33:12,040 --> 00:33:13,040
Speaker 1: words and behavior.

576
00:33:14,840 --> 00:33:17,520
Speaker 2: You know, that just makes that just reminds me of

577
00:33:17,680 --> 00:33:19,440
Speaker 2: a friend of mine who described this whole thing that

578
00:33:19,480 --> 00:33:22,040
Speaker 2: went down today as the messiest breakup to happen in

579
00:33:22,080 --> 00:33:22,640
Speaker 2: Pride month.

580
00:33:25,000 --> 00:33:29,320
Speaker 1: Yet it's still early, Okay. So this afternoon, Trump was

581
00:33:29,360 --> 00:33:31,959
Speaker 1: asked about Elon, and you can kind of tell something's up.

582
00:33:32,000 --> 00:33:33,840
Speaker 1: He says, Oh, well, he hasn't said anything bad about

583
00:33:33,840 --> 00:33:36,160
Speaker 1: me personally yet, but I'm sure that will be next.

584
00:33:36,480 --> 00:33:38,880
Speaker 1: I'm very disappointed in Elon. I've helped him a lot.

585
00:33:39,360 --> 00:33:42,720
Speaker 1: Trump kind of suggested that maybe Elon was having a

586
00:33:42,720 --> 00:33:45,560
Speaker 1: big reaction because he was missing all the glamour of

587
00:33:45,600 --> 00:33:47,959
Speaker 1: working in the White House. Glamour is the direct the

588
00:33:48,000 --> 00:33:50,320
Speaker 1: actual word that he uses. He says, some people who

589
00:33:50,400 --> 00:33:53,720
Speaker 1: leave my White House administration miss it so badly, the

590
00:33:53,760 --> 00:33:57,960
Speaker 1: glamour of working with me, they actually become hostile. Must

591
00:33:58,040 --> 00:34:02,360
Speaker 1: responds on social media accuse Trump of being ungrateful and

592
00:34:02,440 --> 00:34:04,680
Speaker 1: says that the only reason why Trump was elected in

593
00:34:04,680 --> 00:34:07,840
Speaker 1: the first place is because of him. He tweeted, without me,

594
00:34:08,200 --> 00:34:11,160
Speaker 1: Trump would have lost the election, Dems would control the House,

595
00:34:11,200 --> 00:34:13,319
Speaker 1: and the Republicans would be fifty one to forty nine

596
00:34:13,320 --> 00:34:18,239
Speaker 1: in the Senate. Such ingratitude. So my understanding is that

597
00:34:18,320 --> 00:34:21,840
Speaker 1: this was really the thing that set Trump over the edge.

598
00:34:22,080 --> 00:34:25,600
Speaker 1: We know that Trump cares a lot about being considered popular.

599
00:34:25,680 --> 00:34:28,440
Speaker 1: He's obsessed with things like crowd size. Ever since its

600
00:34:28,440 --> 00:34:31,080
Speaker 1: failed the election bit in twenty twenty, he's been screaming

601
00:34:31,080 --> 00:34:33,719
Speaker 1: about this non existent fraud and how the election was

602
00:34:33,800 --> 00:34:37,040
Speaker 1: rigged against him because he simply cannot accept the idea

603
00:34:37,080 --> 00:34:39,480
Speaker 1: that he lost fair and square. So I think in

604
00:34:39,640 --> 00:34:43,279
Speaker 1: making this claim, Musk is basically saying that Trump would

605
00:34:43,280 --> 00:34:45,759
Speaker 1: have been a loser without his help. And I'm sure

606
00:34:45,800 --> 00:34:49,120
Speaker 1: it's stung like this is my understanding is that this

607
00:34:49,239 --> 00:34:52,840
Speaker 1: is the kind of thing that hits Trump where it hurts,

608
00:34:52,880 --> 00:34:55,640
Speaker 1: like we're gonna get into it. But later Musk essentially

609
00:34:55,680 --> 00:34:59,480
Speaker 1: accuses him of being a sex offender, and he's like,

610
00:34:59,480 --> 00:35:01,919
Speaker 1: I don't give a talk about that. Just don't say

611
00:35:01,960 --> 00:35:04,120
Speaker 1: that I'm a loser who would not have won the

612
00:35:04,160 --> 00:35:07,160
Speaker 1: election without you. Also, this is how we know that

613
00:35:07,200 --> 00:35:09,160
Speaker 1: we've all sort of been waiting for this moment, because

614
00:35:09,200 --> 00:35:12,480
Speaker 1: the New York Times sent out multiple breaking news alerts

615
00:35:12,520 --> 00:35:15,880
Speaker 1: about it. It was like breaking news, trouble in Paradise,

616
00:35:15,960 --> 00:35:19,160
Speaker 1: couple on the skids, Like it was really like, this

617
00:35:19,239 --> 00:35:20,560
Speaker 1: is how I know. It's like we've all been waiting

618
00:35:20,560 --> 00:35:22,719
Speaker 1: for this moment The New York Times is like, we

619
00:35:22,760 --> 00:35:26,279
Speaker 1: are gonna capitalize on this. Everybody. We've all been waiting for.

620
00:35:26,239 --> 00:35:29,640
Speaker 2: This trouble in Paradise, America's sweethearts calling it quit.

621
00:35:31,280 --> 00:35:35,480
Speaker 1: So Trump hit back, responding on truth Social threatening to

622
00:35:35,640 --> 00:35:40,080
Speaker 1: terminate Elon's governmental subsidies and contracts. We will come back

623
00:35:40,120 --> 00:35:43,400
Speaker 1: to this bit about canceling Musk's federal contracts later on

624
00:35:43,440 --> 00:35:46,640
Speaker 1: the episode, but for now, let's just clock this and

625
00:35:46,760 --> 00:35:49,279
Speaker 1: understand this as a big f you to Elon and

626
00:35:49,360 --> 00:35:50,880
Speaker 1: keep going with this play by play because this is

627
00:35:50,880 --> 00:35:54,200
Speaker 1: too good to stuff, okay. So Musk then further escalates

628
00:35:54,200 --> 00:35:59,320
Speaker 1: this feud by alleging without evidence, that Trump's name appears

629
00:35:59,400 --> 00:36:03,399
Speaker 1: in the own released Jeffrey Epstein files, implying a cover up.

630
00:36:04,160 --> 00:36:08,279
Speaker 1: As we remember, Jeffrey Epstein was a wealthy financier and

631
00:36:08,400 --> 00:36:12,840
Speaker 1: donor who died by suicide after being exposed to being

632
00:36:13,120 --> 00:36:17,120
Speaker 1: a ringleader of a sex trafficking and child sex abuse ring.

633
00:36:17,719 --> 00:36:21,400
Speaker 1: So Musk tweeted, time to drop the really big bomb.

634
00:36:21,840 --> 00:36:25,080
Speaker 1: Donald Trump is in the Epstein files. That's the real

635
00:36:25,120 --> 00:36:28,759
Speaker 1: reason they have not been made public. Have a nice day, DJT,

636
00:36:29,920 --> 00:36:32,160
Speaker 1: so I will say we did sort of know some

637
00:36:32,239 --> 00:36:35,520
Speaker 1: of this already, flight records have shown that Trump flew

638
00:36:35,960 --> 00:36:38,959
Speaker 1: six or seven times on Epstein's plane between nineteen ninety

639
00:36:39,000 --> 00:36:41,880
Speaker 1: three and nineteen ninety seven. But what Musk is saying

640
00:36:41,920 --> 00:36:46,040
Speaker 1: is that Trump is all over the not public logs

641
00:36:46,120 --> 00:36:49,239
Speaker 1: of what happened with Epstein, which reminded me. Do you

642
00:36:49,239 --> 00:36:51,239
Speaker 1: remember back in February when the White House did this

643
00:36:51,360 --> 00:36:54,640
Speaker 1: terrible stunt where they invited all of these conspiracy theorists

644
00:36:54,640 --> 00:36:56,520
Speaker 1: and like influencers to the White House and they did

645
00:36:56,520 --> 00:36:58,839
Speaker 1: this whole photo op where they gave each of them

646
00:36:58,880 --> 00:37:03,040
Speaker 1: this massive binder that said Epstein files like stamped on

647
00:37:03,080 --> 00:37:05,080
Speaker 1: the front of it, and it was this big photo op.

648
00:37:05,280 --> 00:37:08,000
Speaker 1: But then later when they got home, they opened the

649
00:37:08,000 --> 00:37:10,600
Speaker 1: binders and there was like no new information about Epstein

650
00:37:10,760 --> 00:37:13,600
Speaker 1: in these binders. It was just south that was already public.

651
00:37:14,000 --> 00:37:19,800
Speaker 2: I do remember that, and I think, you know, for

652
00:37:19,800 --> 00:37:22,680
Speaker 2: for people like us, that was just like a weird

653
00:37:22,719 --> 00:37:26,640
Speaker 2: thing that happened with some like shitty nutbags who got

654
00:37:26,640 --> 00:37:28,920
Speaker 2: invited to the White House. But I think for a

655
00:37:28,960 --> 00:37:31,000
Speaker 2: lot of people who voted for Trump, at least a

656
00:37:31,040 --> 00:37:33,480
Speaker 2: large number of very vocal people who voted for him,

657
00:37:33,719 --> 00:37:36,240
Speaker 2: that was like a major thing of his appeal. During

658
00:37:36,239 --> 00:37:39,000
Speaker 2: his campaign, he was talking about how he was going

659
00:37:39,080 --> 00:37:42,560
Speaker 2: to release the Epstein files and like making all these

660
00:37:42,680 --> 00:37:48,040
Speaker 2: QAnon winks and nods that those Epstein files were going

661
00:37:48,120 --> 00:37:50,960
Speaker 2: to come out and all the Democrats were going to

662
00:37:51,040 --> 00:37:54,360
Speaker 2: be in there, and he was gonna drain the swamp

663
00:37:54,520 --> 00:38:00,000
Speaker 2: blah blah blah, and he just like ditched those people

664
00:38:00,000 --> 00:38:01,120
Speaker 2: people so fast.

665
00:38:01,719 --> 00:38:05,279
Speaker 1: I would almost be like some of those influencers were

666
00:38:05,880 --> 00:38:09,560
Speaker 1: angry about that stunt when they got home and poured

667
00:38:09,600 --> 00:38:12,280
Speaker 1: over these these binders and was like, oh, this is nothing.

668
00:38:13,120 --> 00:38:18,400
Speaker 1: So yeah, promises made promises I don't know, vaguely referenced

669
00:38:18,400 --> 00:38:21,279
Speaker 1: to in a stunt and that never referenced again. I

670
00:38:21,280 --> 00:38:21,640
Speaker 1: don't know.

671
00:38:21,920 --> 00:38:25,160
Speaker 2: Yeah, I bet they were angry, and they probably still are,

672
00:38:25,200 --> 00:38:29,480
Speaker 2: but we don't know about it because once Trump stopped

673
00:38:30,400 --> 00:38:35,640
Speaker 2: amplifying the voices of these QAnon people, they just kind

674
00:38:35,640 --> 00:38:38,680
Speaker 2: of disappeared because they were no longer of use to him.

675
00:38:38,840 --> 00:38:44,359
Speaker 2: But yeah, the connections between Trump and Epstein are there

676
00:38:44,400 --> 00:38:51,600
Speaker 2: are like fact based evidence for for less connections. Later

677
00:38:51,880 --> 00:38:56,680
Speaker 2: in the afternoon today, Musk retweeted a video of Trump

678
00:38:56,800 --> 00:38:59,880
Speaker 2: dancing at a party in nineteen ninety two. There was

679
00:39:00,000 --> 00:39:04,880
Speaker 2: hosted by Jeffrey Epstein. The video is a clip from MSNBC,

680
00:39:05,480 --> 00:39:09,879
Speaker 2: and it not only shows Trump dancing having a good time,

681
00:39:10,120 --> 00:39:14,920
Speaker 2: but it also shows him huddling with Epstein whispering a

682
00:39:15,040 --> 00:39:18,440
Speaker 2: joke into his ear or whispering something in his ear.

683
00:39:18,480 --> 00:39:20,920
Speaker 2: I assume it was a joke because Epstein then doubles

684
00:39:20,960 --> 00:39:24,600
Speaker 2: over in laughter, and like, so these two buddies are

685
00:39:24,640 --> 00:39:27,359
Speaker 2: just having a good old time in nineteen ninety two.

686
00:39:27,719 --> 00:39:27,959
Speaker 1: Yuck.

687
00:39:28,320 --> 00:39:32,120
Speaker 2: Yeah. In the ongoing effort to figure out which of

688
00:39:32,160 --> 00:39:37,719
Speaker 2: these lying liars is lying about what seems like there's

689
00:39:37,760 --> 00:39:41,040
Speaker 2: a lot of evidence to think that Elon's claim here,

690
00:39:42,280 --> 00:39:45,040
Speaker 2: maybe there's something to it that you know, we know

691
00:39:45,080 --> 00:39:49,440
Speaker 2: that Trump and Epstein were they at least attended a

692
00:39:49,480 --> 00:39:51,240
Speaker 2: party together and had a nice time together.

693
00:39:51,600 --> 00:39:54,960
Speaker 1: Yeah. I just don't think that Elon Musk saying I

694
00:39:55,040 --> 00:39:57,719
Speaker 1: was willing to overlook what I knew about you potentially

695
00:39:57,719 --> 00:40:01,200
Speaker 1: being a child sex criminal because a business arrangement that

696
00:40:01,239 --> 00:40:03,560
Speaker 1: we had together was working out for me. I don't

697
00:40:03,560 --> 00:40:07,200
Speaker 1: think that's the flex he thinks it is and not producting.

698
00:40:07,400 --> 00:40:10,719
Speaker 1: Elon Musk has also been accused of sexual misconduct and

699
00:40:10,920 --> 00:40:14,920
Speaker 1: sexual abuse. So they're all liars. They're all creeps. They

700
00:40:14,920 --> 00:40:18,680
Speaker 1: all have allegations. Like when I saw this, truly, I

701
00:40:18,719 --> 00:40:22,319
Speaker 1: was like, it's not this, but this is what I

702
00:40:22,360 --> 00:40:25,479
Speaker 1: was thinking. Like you were on Epstein's Island. I saw

703
00:40:25,520 --> 00:40:27,279
Speaker 1: you there. I was like, Oh, what were you doing there?

704
00:40:27,760 --> 00:40:29,919
Speaker 1: Like that? Like that's the vibe I kind of got.

705
00:40:30,239 --> 00:40:34,200
Speaker 2: Yeah, maybe they were there together. Who knows these guys.

706
00:40:38,880 --> 00:40:52,600
Speaker 3: More after a quick break, let's get right back into.

707
00:40:52,440 --> 00:41:04,920
Speaker 4: It working every day on the.

708
00:41:07,080 --> 00:41:13,160
Speaker 1: Son. Elon further escalates by posting Trump's own tweets from

709
00:41:13,160 --> 00:41:17,160
Speaker 1: twenty thirteen in which Trump categorically rejects the idea of

710
00:41:17,239 --> 00:41:20,080
Speaker 1: raising the debt ceiling and condemns any Republicans or voting

711
00:41:20,120 --> 00:41:22,880
Speaker 1: for it. This is kind of ironic because today Trump

712
00:41:22,920 --> 00:41:25,920
Speaker 1: is saying the exact opposite and demanding that Republicans do

713
00:41:26,160 --> 00:41:29,080
Speaker 1: raise the debt ceiling, which is very convenient. So Musk

714
00:41:29,239 --> 00:41:32,080
Speaker 1: is resurfacing these posts that Trump once made and said,

715
00:41:32,480 --> 00:41:35,319
Speaker 1: where is the man who wrote these words? Was he

716
00:41:35,440 --> 00:41:39,160
Speaker 1: replaced by a body double? Again? I feel like, where

717
00:41:39,200 --> 00:41:41,160
Speaker 1: is the man who wrote these words? That is a

718
00:41:41,160 --> 00:41:43,960
Speaker 1: text that I have written during a breakup, Like you

719
00:41:44,120 --> 00:41:45,120
Speaker 1: said you loved me.

720
00:41:46,160 --> 00:41:53,960
Speaker 2: It's so dramatic. It is like, yeah, it's like Shakespearean.

721
00:41:54,600 --> 00:41:57,799
Speaker 2: Where is the man who wrote these words? When'sforth has

722
00:41:57,840 --> 00:41:58,320
Speaker 2: he gone?

723
00:41:58,560 --> 00:42:02,560
Speaker 1: I know this is some light Mary J. Blige, Like

724
00:42:03,320 --> 00:42:05,920
Speaker 1: if you ever listened to the Waiting to Exhale soundtrack,

725
00:42:06,000 --> 00:42:09,160
Speaker 1: this is some like I was your lover and your secretary,

726
00:42:09,239 --> 00:42:12,880
Speaker 1: working every day of the week, like just some jilted lover,

727
00:42:13,480 --> 00:42:18,800
Speaker 1: just some good jilted lover words. So Musk then endorses

728
00:42:18,840 --> 00:42:22,480
Speaker 1: the idea of Trump being impeached and replaced by Vice

729
00:42:22,560 --> 00:42:25,719
Speaker 1: President JD. Dance, which to makes complete sense to me

730
00:42:25,719 --> 00:42:28,400
Speaker 1: because the Dance was sort of always the tech billionaire

731
00:42:28,480 --> 00:42:31,760
Speaker 1: in Guy Plant. Trump then hits back on truth social

732
00:42:31,800 --> 00:42:36,080
Speaker 1: writing Elon was wearing thin. I asked him to leave.

733
00:42:36,160 --> 00:42:38,719
Speaker 1: I took away his EV mandate that forced everybody to

734
00:42:38,719 --> 00:42:41,319
Speaker 1: buy electric cars that nobody wanted, that he knew for

735
00:42:41,440 --> 00:42:43,439
Speaker 1: months I was going to do, and he just went

736
00:42:43,600 --> 00:42:48,920
Speaker 1: crazy again. I'm taken back to being like she knew

737
00:42:48,960 --> 00:42:50,840
Speaker 1: I was going to beach week with my friends and

738
00:42:50,840 --> 00:42:52,680
Speaker 1: that I didn't have my phone charger with me. I

739
00:42:52,680 --> 00:42:54,759
Speaker 1: don't know why she's acting crazy and telling all of

740
00:42:54,800 --> 00:42:56,719
Speaker 1: her friends that she didn't know after the fact, but

741
00:42:56,840 --> 00:42:58,719
Speaker 1: I know that she did because I texted her like

742
00:42:59,800 --> 00:43:03,440
Speaker 1: it it's really a lot. So I will say the

743
00:43:03,520 --> 00:43:06,040
Speaker 1: idea that Elon was sort of wearing out his welcome

744
00:43:06,040 --> 00:43:08,080
Speaker 1: in the White House. There has been a ton of

745
00:43:08,120 --> 00:43:11,440
Speaker 1: reporting to support this. Did you read that kind of

746
00:43:11,520 --> 00:43:15,879
Speaker 1: bombshell New York Times piece on Musk's drug use while

747
00:43:15,880 --> 00:43:16,680
Speaker 1: in the administration?

748
00:43:17,520 --> 00:43:22,799
Speaker 2: I did, and it was like so perfectly timed with

749
00:43:22,880 --> 00:43:24,640
Speaker 2: his exit from the White House. It was like the

750
00:43:25,000 --> 00:43:27,319
Speaker 2: I think it was the day after he left the

751
00:43:27,360 --> 00:43:32,000
Speaker 2: White House and both just like I don't know. It

752
00:43:32,040 --> 00:43:36,759
Speaker 2: was just such a hit piece. I also believe a

753
00:43:36,760 --> 00:43:40,000
Speaker 2: lot of it is probably true, and so again just

754
00:43:40,040 --> 00:43:45,279
Speaker 2: so messy, like it's it seems like deliberate smear campaign

755
00:43:46,520 --> 00:43:48,880
Speaker 2: but using true facts.

756
00:43:49,440 --> 00:43:51,719
Speaker 1: Yeah, and I will say the authors of that New

757
00:43:51,800 --> 00:43:54,400
Speaker 1: York Times piece have been writing about Musk's drug use

758
00:43:54,520 --> 00:43:58,560
Speaker 1: for a while, but I think that maybe people are

759
00:43:59,400 --> 00:44:02,479
Speaker 1: giving more information about it from within the White House

760
00:44:02,560 --> 00:44:04,640
Speaker 1: because it's like, oh God, we can't stand this guy.

761
00:44:04,800 --> 00:44:07,520
Speaker 1: There was also lots of pieces about how cabinet members

762
00:44:07,560 --> 00:44:11,480
Speaker 1: were reportedly getting really tired of Musk, especially his attempts

763
00:44:11,480 --> 00:44:14,160
Speaker 1: to be funny and his deep seated belief that he

764
00:44:14,239 --> 00:44:18,040
Speaker 1: is smarter than everybody else. A senior official told a reporter,

765
00:44:18,719 --> 00:44:20,279
Speaker 1: I have been in the same room with Elon and

766
00:44:20,280 --> 00:44:22,360
Speaker 1: he always tries to be funny, and he's not funny

767
00:44:22,440 --> 00:44:24,960
Speaker 1: like at all. He makes these jokes and little asides

768
00:44:25,000 --> 00:44:27,160
Speaker 1: and smiles, and it almost looks hurt if you don't

769
00:44:27,239 --> 00:44:29,720
Speaker 1: lap up his humor. I keep using the word annoying.

770
00:44:30,040 --> 00:44:31,640
Speaker 1: A lot of people who have to deal with him do,

771
00:44:32,000 --> 00:44:34,920
Speaker 1: but the word doesn't do the situation justice. Evon just

772
00:44:34,920 --> 00:44:37,000
Speaker 1: thinks he's smarter than everyone else in the room and

773
00:44:37,040 --> 00:44:39,440
Speaker 1: acts like it, even when it's clear he doesn't know

774
00:44:39,480 --> 00:44:43,040
Speaker 1: what he's talking about. The official then described Musk as

775
00:44:43,080 --> 00:44:46,000
Speaker 1: the most irritating person they have ever dealt with, saying

776
00:44:46,360 --> 00:44:48,719
Speaker 1: talking to the guy is sometimes like listening to really

777
00:44:48,800 --> 00:44:51,640
Speaker 1: rusty nails on a chalkboard. He is the most irritating

778
00:44:51,640 --> 00:44:53,640
Speaker 1: person I've ever had to deal with, and that is

779
00:44:53,680 --> 00:44:54,360
Speaker 1: saying something.

780
00:44:54,600 --> 00:44:58,480
Speaker 2: Yeah, Like the people giving these quotes are political operatives

781
00:44:58,560 --> 00:45:01,680
Speaker 2: in the Trump White House. I bet they deal with

782
00:45:01,719 --> 00:45:03,600
Speaker 2: some highly irritating people.

783
00:45:03,840 --> 00:45:06,600
Speaker 1: The piece ends with this line, Musk has not at

784
00:45:06,600 --> 00:45:09,560
Speaker 1: the patience of an array of high ranking administration officials

785
00:45:09,719 --> 00:45:11,719
Speaker 1: to the point that, according to this official and to

786
00:45:11,840 --> 00:45:14,800
Speaker 1: others Trump lieutenants have walked out of meetings and earnestly

787
00:45:14,840 --> 00:45:19,440
Speaker 1: asked one another if they thought Musk was high, said so.

788
00:45:19,800 --> 00:45:22,400
Speaker 1: Steve Bannon actually told a New York Times reporter that

789
00:45:22,440 --> 00:45:25,719
Speaker 1: he advised Trump to investigate Musk's drug use in the

790
00:45:25,719 --> 00:45:29,840
Speaker 1: White House and also maybe deport him. There has been

791
00:45:30,040 --> 00:45:32,520
Speaker 1: no love lost between these two since the beginning of

792
00:45:32,520 --> 00:45:35,600
Speaker 1: the administration. Bannon has been a frequent critic of Musk,

793
00:45:35,680 --> 00:45:38,319
Speaker 1: accusing him of self dealing, failing to find all of

794
00:45:38,320 --> 00:45:41,680
Speaker 1: this so called fraud he made big promises about, and also,

795
00:45:42,000 --> 00:45:46,600
Speaker 1: according to Bannon, being an illegal immigrant. Bannon's really nativist

796
00:45:46,640 --> 00:45:50,640
Speaker 1: ideology has always been this like noxious foundation of Trump's

797
00:45:50,680 --> 00:45:54,760
Speaker 1: most hardcore supporters, while Musk appealed to a totally different

798
00:45:54,840 --> 00:45:58,120
Speaker 1: set of like racist shitheads. So you really kind of

799
00:45:58,160 --> 00:46:01,120
Speaker 1: have these two coming to a head now. That thought

800
00:46:01,160 --> 00:46:03,560
Speaker 1: line in the Maga universe between Musk and Bannon and

801
00:46:03,600 --> 00:46:08,840
Speaker 1: their particular strains of like toxic racist ideology has cleaved

802
00:46:08,840 --> 00:46:12,080
Speaker 1: all the way through and the grand prolition has been sundered.

803
00:46:13,080 --> 00:46:15,520
Speaker 1: So let's talk about the big picture and what this

804
00:46:15,560 --> 00:46:19,360
Speaker 1: all means, especially given Trump's threat to cancel all of

805
00:46:19,400 --> 00:46:23,680
Speaker 1: Elon's company's federal contracts. So Eric Berger of Ours Technica

806
00:46:24,040 --> 00:46:27,200
Speaker 1: really shed some light onto what this would actually mean.

807
00:46:27,280 --> 00:46:30,080
Speaker 1: He wrote on Twitter, this would both end the International

808
00:46:30,160 --> 00:46:34,480
Speaker 1: Space Station and simultaneously provide no way to safely deorbit it.

809
00:46:35,239 --> 00:46:39,640
Speaker 1: Musk then retweeted this saying, go ahead, make my day.

810
00:46:40,560 --> 00:46:43,239
Speaker 1: And this really gets at the heart of why I

811
00:46:43,239 --> 00:46:45,160
Speaker 1: think this is an important thing for us to talk about,

812
00:46:45,239 --> 00:46:49,200
Speaker 1: not just all the over the top emotional late night

813
00:46:49,320 --> 00:46:52,120
Speaker 1: crash out tweets, But this, I think is really the

814
00:46:52,120 --> 00:46:54,640
Speaker 1: heart of it, and that is the fact that Elon

815
00:46:54,800 --> 00:46:59,839
Speaker 1: Musk a private person who is messy, chaotic. When they're

816
00:47:00,000 --> 00:47:03,239
Speaker 1: doing profiles of him, they like to use the word mercurial,

817
00:47:03,600 --> 00:47:06,719
Speaker 1: which I think is maybe just like polite white guy

818
00:47:06,840 --> 00:47:08,719
Speaker 1: way to say, like, oh, this person uses a lot

819
00:47:08,719 --> 00:47:11,960
Speaker 1: of drugs and like does things when he's under the

820
00:47:12,000 --> 00:47:16,040
Speaker 1: influence of them. But we have allowed this one chaotic

821
00:47:16,120 --> 00:47:20,640
Speaker 1: person to take over so much of our public infrastructure

822
00:47:20,840 --> 00:47:23,840
Speaker 1: to the point that we find ourselves in this situation

823
00:47:23,960 --> 00:47:28,600
Speaker 1: where in this crash out with Trump, he could personally

824
00:47:28,800 --> 00:47:31,480
Speaker 1: end at the International Space Station and leave it with

825
00:47:31,560 --> 00:47:33,880
Speaker 1: no way for us to get it back from space.

826
00:47:34,360 --> 00:47:37,480
Speaker 1: So it is not just SpaceX. Starlink, for one, is

827
00:47:37,560 --> 00:47:41,400
Speaker 1: widely used by the military and the militaries of our allies.

828
00:47:42,200 --> 00:47:46,520
Speaker 1: Remember that Ukraine was deeply reliant on Starlink run by

829
00:47:46,520 --> 00:47:49,720
Speaker 1: Elon Musk during the first few months of Russian's invasion,

830
00:47:50,080 --> 00:47:54,200
Speaker 1: and Musk even briefly turned off their access to starlink

831
00:47:54,560 --> 00:47:59,040
Speaker 1: over a payment dispute, which caused deaths and tactical losses

832
00:47:59,080 --> 00:48:02,560
Speaker 1: on the battlefield. He's also involved in things like energy research,

833
00:48:02,640 --> 00:48:07,600
Speaker 1: defense research, space, hello, communications AI, transportation, infrastructure. This is

834
00:48:07,640 --> 00:48:10,799
Speaker 1: not really like my personal area of expertise, so I'm

835
00:48:10,800 --> 00:48:13,560
Speaker 1: not going to exhaustively list all of the many deep

836
00:48:13,600 --> 00:48:17,000
Speaker 1: ways in which Musk's companies are like deeply entangled with

837
00:48:17,040 --> 00:48:20,319
Speaker 1: the federal government. But trust me when I say they

838
00:48:20,320 --> 00:48:23,040
Speaker 1: are deeply entangled with the federal government. So when we

839
00:48:23,040 --> 00:48:26,759
Speaker 1: talk about Musk's role in government, the biggest issue is

840
00:48:26,840 --> 00:48:29,840
Speaker 1: that the government, not just Trump like this was happening

841
00:48:29,880 --> 00:48:33,680
Speaker 1: under Biden too, the government has allowed this one chaotic,

842
00:48:33,880 --> 00:48:37,560
Speaker 1: messy private person to essentially, in my opinion, become more

843
00:48:37,760 --> 00:48:41,359
Speaker 1: powerful than the government itself because Musk's companies provide too

844
00:48:41,440 --> 00:48:45,240
Speaker 1: much essential infrastructure that really should be coming from the government,

845
00:48:45,560 --> 00:48:49,280
Speaker 1: not from him and not from any private individual or person.

846
00:48:49,520 --> 00:48:53,040
Speaker 1: Governments are really at his mercy. There was this really

847
00:48:53,280 --> 00:48:56,200
Speaker 1: really well done Rodan Pharaoh long read in The New

848
00:48:56,280 --> 00:48:58,160
Speaker 1: Yorker a couple of years ago about this we'll link

849
00:48:58,200 --> 00:49:01,480
Speaker 1: to in the show notes. But he really out the

850
00:49:01,520 --> 00:49:04,440
Speaker 1: scope of this, the scale of this, and what is

851
00:49:04,480 --> 00:49:08,440
Speaker 1: at stake from the moods of this one mercurial person

852
00:49:08,960 --> 00:49:15,400
Speaker 1: who has a documented history of unpredictable chaotic behavior. It

853
00:49:15,480 --> 00:49:18,880
Speaker 1: describes the many ways that Musk has not only accumulated power,

854
00:49:19,000 --> 00:49:21,120
Speaker 1: but done so in a way that makes them literally

855
00:49:21,160 --> 00:49:24,320
Speaker 1: irreplaceable because no one, not even the United States government,

856
00:49:24,600 --> 00:49:27,640
Speaker 1: is currently capable of providing the services that he provides.

857
00:49:27,760 --> 00:49:30,880
Speaker 1: The government just becomes reliant on him, as this private

858
00:49:30,920 --> 00:49:34,719
Speaker 1: person to provide all of these services. But this phenomena

859
00:49:34,880 --> 00:49:37,719
Speaker 1: is not unique to just Musk, Like look at how

860
00:49:37,760 --> 00:49:39,800
Speaker 1: in some parts of the world at the Global South,

861
00:49:40,120 --> 00:49:44,759
Speaker 1: Facebook and WhatsApp basically are the Internet, right, and so

862
00:49:45,520 --> 00:49:49,240
Speaker 1: the entire population of a country should not be forced

863
00:49:49,239 --> 00:49:52,160
Speaker 1: to rely on the whims of one private dipshit for

864
00:49:52,280 --> 00:49:56,040
Speaker 1: their entire Internet infrastructure. So Elon Musk is really the

865
00:49:56,040 --> 00:49:59,279
Speaker 1: worst case scenario of what happens when countries rely so

866
00:49:59,480 --> 00:50:03,319
Speaker 1: much on one person privately for infrastructure that really should

867
00:50:03,360 --> 00:50:09,080
Speaker 1: be public. He is like one massively inflamed, throbbing symptom

868
00:50:09,320 --> 00:50:12,000
Speaker 1: of a much larger and deeper problem.

869
00:50:12,560 --> 00:50:15,160
Speaker 2: This is the natural result. This is what they wanted,

870
00:50:15,680 --> 00:50:21,839
Speaker 2: like one uber, wealthy, rich guy who is yeah, like

871
00:50:22,120 --> 00:50:26,080
Speaker 2: you said, almost like a peer to the government itself

872
00:50:26,120 --> 00:50:29,080
Speaker 2: in terms of power. This is these things that he

873
00:50:29,200 --> 00:50:36,080
Speaker 2: does of providing internet to the military, providing critical infrastructure,

874
00:50:37,160 --> 00:50:40,400
Speaker 2: these are things that the government should do. These shouldn't

875
00:50:40,440 --> 00:50:45,799
Speaker 2: be at the whims of one mercurial dipshit. You're absolutely right,

876
00:50:46,200 --> 00:50:52,000
Speaker 2: he elon Musk is the result of the past forty

877
00:50:52,200 --> 00:50:57,799
Speaker 2: years of government policy of just addocating its responsibilities to

878
00:50:57,880 --> 00:51:02,200
Speaker 2: the private market. And and here we are, and so

879
00:51:02,920 --> 00:51:03,560
Speaker 2: it's bad.

880
00:51:03,960 --> 00:51:08,080
Speaker 1: It's bad. And even though it is the girls are fighting,

881
00:51:08,200 --> 00:51:11,799
Speaker 1: Trump and Musk are fighting, it is us for whom

882
00:51:11,800 --> 00:51:14,400
Speaker 1: this will be bad for like it is us, the

883
00:51:14,480 --> 00:51:16,920
Speaker 1: regular citizens who are caught in the crosshairs of this.

884
00:51:17,080 --> 00:51:19,239
Speaker 1: And it is us who will pay the price. And

885
00:51:19,320 --> 00:51:22,120
Speaker 1: don't forget that all of this is happening against the

886
00:51:22,160 --> 00:51:25,280
Speaker 1: backdrop of the setup potentially passing this bill, which would

887
00:51:25,680 --> 00:51:29,120
Speaker 1: gut reproductive healthcare, would kick millions off of Medicaid, would

888
00:51:29,160 --> 00:51:32,320
Speaker 1: prevent states from making laws that curtail AI for ten years,

889
00:51:32,560 --> 00:51:35,040
Speaker 1: would extend deep tax cuts for the wealthy, and certainly

890
00:51:35,080 --> 00:51:37,239
Speaker 1: do a bunch of other awful things they don't even

891
00:51:37,239 --> 00:51:39,200
Speaker 1: know half of because the House passed it in the

892
00:51:39,200 --> 00:51:41,239
Speaker 1: middle of the night without even bothering to read it.

893
00:51:41,800 --> 00:51:45,640
Speaker 1: So yeah, it's bad. I think that we should be

894
00:51:45,760 --> 00:51:49,000
Speaker 1: talking about this feud, but not talking about it in

895
00:51:49,000 --> 00:51:52,640
Speaker 1: a way that obscures the fact that there are very

896
00:51:52,719 --> 00:51:55,239
Speaker 1: real stakes for all of us and we are in

897
00:51:55,320 --> 00:51:59,640
Speaker 1: the crossairs. But whatever happens when the dust has all

898
00:51:59,680 --> 00:52:03,120
Speaker 1: set up from Elon's tweets and Trump's rants, I hope

899
00:52:03,160 --> 00:52:06,960
Speaker 1: we can all remember the wise words of Bravos Andy Cohen,

900
00:52:07,000 --> 00:52:12,160
Speaker 1: who tweeted, let me host the reunion. Andy, your messyth

901
00:52:12,280 --> 00:52:23,319
Speaker 1: has got the job if it's up to me. If

902
00:52:23,320 --> 00:52:25,440
Speaker 1: you're looking for ways to support the show, check out

903
00:52:25,440 --> 00:52:29,319
Speaker 1: our merch store at tangodi dot com slash store. Got

904
00:52:29,320 --> 00:52:31,319
Speaker 1: a story about an interesting thing in tech, or just

905
00:52:31,320 --> 00:52:33,319
Speaker 1: want to say hi, You can reach us at Hello

906
00:52:33,360 --> 00:52:35,840
Speaker 1: at tangodi dot com. You can also find transcripts for

907
00:52:35,920 --> 00:52:38,600
Speaker 1: today's episode at Tengody dot com There Are No Girls

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00:52:38,600 --> 00:52:40,960
Speaker 1: on the Internet was created by me Bridget Toad. It's

909
00:52:40,960 --> 00:52:44,360
Speaker 1: a production of iHeartRadio and Unboss Creative, edited by Joey

910
00:52:44,360 --> 00:52:48,200
Speaker 1: pat Jonathan Strickland is our executive producer. Tarry Harrison is

911
00:52:48,239 --> 00:52:51,840
Speaker 1: our producer and sound engineer. Michael Almada is our contributing producer.

912
00:52:52,080 --> 00:52:54,239
Speaker 1: I'm your host, Bridget Toad. If you want to help

913
00:52:54,320 --> 00:52:57,279
Speaker 1: us grow, rate and review us on Apple Podcasts. For

914
00:52:57,360 --> 00:53:00,760
Speaker 1: more podcasts from iHeartRadio, check out the iHeartRadio app, Apple Podcasts,

915
00:53:00,800 --> 00:53:06,279
Speaker 1: or wherever you get your podcasts.

916
00:53:07,719 --> 00:53:08,080
Speaker 2: MHM