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Speaker 1: Not to get sexy, but I had a great shower.

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Speaker 2: Mmm, what's a great shower for you?

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Speaker 1: Just hot and long?

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Speaker 2: Just you know, yeah, do you do the thing where?

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Speaker 3: Man, when when I have a long I always pull

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Speaker 3: my forehead against the wall right underneath the shower head

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Speaker 3: and just like I'm like a guy in an action movie,

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Speaker 3: you know what I mean, Like after he like pulled

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Speaker 3: a bullet out of his arm and just like let

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Speaker 3: my head like.

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Speaker 1: Yeah, you just lost your best friend and you know

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Speaker 1: revenge is coming, but you gotta process it emotion.

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Speaker 2: Exactly, exactly exactly. That's how it's so.

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Speaker 3: I think so many in my shows like that was

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Speaker 3: a good It's like it's some fucking form of an

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Speaker 3: eighties action film cop shower and yeah, man, I fucking

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Speaker 3: did it.

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Speaker 4: Dude, Hello the Internet, and welcome to season three, forty six,

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Speaker 4: Episode two of the Daily s.

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Speaker 2: Eygeister production of My Heart Radio.

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Speaker 3: It's a podcast or we take a deep dive into

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Speaker 3: America's shared consciousness. You knew this because you also know this.

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Speaker 3: It's Tuesday, July ninth, twenty twenty four.

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Speaker 2: Did you know this? That means it's National Dimples Day?

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Speaker 2: Don't have them? But good for you if you do.

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Speaker 3: It's also Cow Appreciation Day, National Sugar Cookie Day.

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Speaker 2: That's it, dimples, cows.

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Speaker 3: And sugar cookies to just you know, sprinkle over your

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Speaker 3: wonderful July ninth.

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Speaker 2: Tuesday, all of the agendas exactly, exactly.

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Speaker 1: The only thing cuter then dimples is a cow eating

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Speaker 1: a sugar cookie.

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Speaker 2: Doesn't that's true? Well, imagine a dimpled cow getting a

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Speaker 2: hunker cookie.

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Speaker 1: I just ejaculated.

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Speaker 2: Good. Thank you for being honest. That means I will

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Speaker 2: be honest and I will say that it's me. I

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Speaker 2: had an accident. Yeah, well, please allow me to introduce myself. Yes,

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Speaker 2: it is I Miles Gray aka the Showgun with No

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Speaker 2: Gun aka the Lord of Lancersham North, Hollywood's finest, and

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Speaker 2: I'm thrilled to be joined by my guest co host, comedian, actor, writer,

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Speaker 2: improviser what name you name it, He's done it all.

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Speaker 3: Please welcome to the microphone and also lover of skate

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Speaker 3: culture too. Gotta say, got to say that we talk

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Speaker 3: a lot about skating, especially nineties early out skating together.

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Speaker 2: Anyway, Welcome to the show.

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Speaker 1: Mark Burr, Yay, thanks d thanks for having me. I'm

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Speaker 1: really good to be here. Thank you for that.

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Speaker 2: You.

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Speaker 1: I love you. I sound like a quadruple threat all

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Speaker 1: of my but all of my abilities are deeply non threatening.

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Speaker 2: Yeah.

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Speaker 3: Like dude, he loves a good skate video, loves a yes, and.

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Speaker 1: Loves a hot ten minute stand upset exact, just the

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Speaker 1: least scary and shower with an orange.

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Speaker 5: All right.

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Speaker 1: Well now see now we're getting into the business. All right,

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Speaker 1: that's let's talk about a shower.

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Speaker 2: Maybe a peach shower.

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Speaker 4: Yeah.

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Speaker 1: I do a peach shower because peaches to me. Or

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Speaker 1: it's even sloppier than an orange, you know.

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Speaker 2: And I go in there with a rack of ribs.

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Speaker 2: Yeah you do. He slappy ribbon.

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Speaker 5: There, just completely like like by I hide the ribs

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Speaker 5: like goulum with the ring right right right. But then

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Speaker 5: when I'm done with the ribs, I'm just like washing

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Speaker 5: all the source off.

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Speaker 2: Yeah that's true.

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Speaker 1: Now you're understanding the practicality of the shower food.

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Speaker 2: Yeah that's right.

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Speaker 3: Yeah, just yeah, take your racker ribs in the shower.

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Speaker 3: It's much cleaner that way. Ah.

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Speaker 2: And well you heard the voice right there. It's one

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Speaker 2: of our favorite guests when we have something tech to discuss.

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Speaker 2: He is Look, I'm just gonna describe him as one

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Speaker 2: of the greatest Raider fans of all time. Obviously, I

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Speaker 2: think that's no. Oh yeah, oh yeah, oh one of

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Speaker 2: the member of a large class action suit. Oh are

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Speaker 2: you right now? Is this something going on?

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Speaker 5: No, no, just I'm a season ticket holder. It's the

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Speaker 5: same thing.

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Speaker 3: Yeah, oh right, yeah, well, hey, shout out to Davis

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Speaker 3: family and shout out this very fantastic tech critic with

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Speaker 3: giving us all the news that you need when it

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Speaker 3: comes to things like the rot economy and the tech

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Speaker 3: sector at large. Host of the Better Offline podcast Uncles

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Speaker 3: on Media Please Welcome, and zich On on What's Up

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Speaker 3: YouTube Welcome. Yeah, well yeah, we'll call YouTube today.

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Speaker 2: Eventually we will be there. We will be there. I

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Speaker 2: don't use YouTube. I have no idea how well.

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Speaker 5: I mean, I use it, but like the idea are

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Speaker 5: posting videos on there scares me because every single time

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Speaker 5: I've watched someone with like huge following on Twitter, huge

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Speaker 5: following on face on like Facebook or Instagram, they're like,

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Speaker 5: I'm gonna post my videos on YouTube, and they get

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Speaker 5: like five hundred views.

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Speaker 2: Yeah. Yeah, YouTube's just the just the brutal.

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Speaker 3: It happens because you're trying to You're basically when you

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Speaker 3: do that, you're trying you're starting over, because that's a

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Speaker 3: completely other ecosystem. Although some people do, like with podcasts,

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Speaker 3: some people just only use YouTube to listen to podcasts.

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Speaker 2: It's strange. So that's terrifying.

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Speaker 5: Yeah, like the least you that's that's an insane way

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Speaker 5: to consume podcasts to.

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Speaker 3: Me, just to have, just to have like just like

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Speaker 3: YouTube with a static graphic screen playing ay man.

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Speaker 5: Yeah, I also let people who do it and they've

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Speaker 5: just got the shittiest video feed.

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Speaker 2: Yeah right, it's like.

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Speaker 5: Flipping and you can tell they're doing I feel bad

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Speaker 5: because they're trying to get ads right, and it's just yeah, YouTube,

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Speaker 5: true nightmare, but a great place to find Elliott Smith concepts.

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Speaker 2: Oh yeah, yeah, I've.

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Speaker 1: Been down that rabbit hole. That's usually a good indicator

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Speaker 1: that my my mental health needs addressing.

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Speaker 4: Yeah.

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Speaker 5: Someone takes to me the other day and was like, oh,

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Speaker 5: you listen to Elliot Smith?

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Speaker 2: You okay?

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Speaker 4: Yeah?

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Speaker 1: Everything?

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Speaker 2: How right? I know what time it did? Absolutely? Yeah,

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Speaker 2: you want to talk about it?

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Speaker 1: No, Oh man, I'm drowning in unchecked depression. Why do

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Speaker 1: you think I'm watching all these glorious concerts.

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Speaker 3: Do you think as I'm feeling good, trying to fucking

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Speaker 3: I'm trying to pick out a wound right now with music.

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Speaker 3: But anyway, Ed, it's good to have you. Obviously, we're

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Speaker 3: going to talk about things. I mean, at first, I

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Speaker 3: was like we I've just been so obsessed with the

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Speaker 3: cyber truck and all of the families.

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Speaker 5: I saw one for the first time a few weeks ago.

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Speaker 2: Wait, you just saw it for the first time. I

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Speaker 2: feel like Vegas crawling with them.

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Speaker 5: Not see one in Vegas. I was in New York

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Speaker 5: and I saw one. It is such a funny vehicle. Yeah, yeah, yeah,

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Speaker 5: it's so small. My mom someone for so small. My

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Speaker 5: mom saw one for the first time and she got

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Speaker 5: angry about it. She's like, I saw this car. It

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Speaker 5: was so shiny. It looked like a box and it

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Speaker 5: was it was just it was really ugly looking.

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Speaker 2: I was like, what do you mean.

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Speaker 3: She's like, it was just so shiny. I don't understand it.

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Speaker 3: And so then I pulled up I'm.

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Speaker 2: Like, was it this? Was this the card that hurt you?

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Speaker 2: She's like, yes, that piece of shit.

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Speaker 3: So I want to talk to you a little bit

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Speaker 3: about Tesla, what's happening over there the cybertruck. But also

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Speaker 3: there were some two stories about tech that I definitely

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Speaker 3: wanted to get your input on because they intersect with

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Speaker 3: a lot of things we talk about, like you know,

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Speaker 3: climate change, and also the state of.

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Speaker 2: Generative AI that we thought was, oh yeah.

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Speaker 3: Gonna be like it's a good total disruptor. I mean,

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Speaker 3: mort and I were just talking about. Did you see

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Speaker 3: the like the fanview AI like beauty pageant that just

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Speaker 3: went down.

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Speaker 2: No.

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Speaker 3: Oh, so there was this whole like AI generated beauty

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Speaker 3: pageant thing that happened, and the aberration that was created

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Speaker 3: that represented Morocco one twenty thousand dollars.

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Speaker 2: Okay, let's look this up.

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Speaker 5: So AI beauty pageant. Let's got to look at these

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Speaker 5: beautiful ladies. I'm single. I hope one of these beautiful

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Speaker 5: ladies will be my AI wife.

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Speaker 3: They will if you go to fanview or subscribers can

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Speaker 3: get accents to exclusive content. It was put on basically

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Speaker 3: by the only fans of.

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Speaker 5: Oh, they look exactly like every AI generated There's a

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Speaker 5: weird thing with AI generated people, even taking away the

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Speaker 5: fact they usually have ninety fingers, right, they have like

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Speaker 5: this weird glossy look to them, like they're not looking

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Speaker 5: at the center of the camera.

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Speaker 1: Yeah, yeah, yeah, right, yeah, it's not it's not dead eyed,

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Speaker 1: but there certainly is no spirit or soul behind the eyes.

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Speaker 1: And these these ones especially like they look all right

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Speaker 1: in photos, but then when you watch the video, it

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Speaker 1: looks like it looks like a cyboard trying to learn

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Speaker 1: American English. Yes, like the gesturing is wild and it

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Speaker 1: doesn't match the words at all. Yeah, it looks like

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Speaker 1: it looks like the mouth and the body are being

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Speaker 1: controlled by two different puppeteers.

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Speaker 5: Basically, it's so good that we're but like we boil

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Speaker 5: an entire lake to create a picture of Garfield with

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Speaker 5: huge knockers, and like that's the future for me.

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Speaker 2: Yeah, that's what that's what we proped up your earth.

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Speaker 3: Well, I wanted to see what Joe Biden would look

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Speaker 3: like as the three breasted woman from Total Recall and that.

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Speaker 5: Yeah, you wanted to see the Philly fanatic with Joko makeup,

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Speaker 5: Yeah right, but in an anime style, and I should see.

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Speaker 1: Marge Simpson Simpson in a mini skirt, like I wasn't

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Speaker 1: gonna make it to the rest of Well, the thing is.

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Speaker 3: You could have got your There was already Simpsons erratic

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Speaker 3: content out there, you know what I mean.

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Speaker 2: So yeah, I'm just saying there are there were huge

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Speaker 2: Like so those are the people whose jobs I'm worried

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Speaker 2: about this Human beings used to be making that. Yeah.

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Speaker 3: Absolutely absolutely the greatest artists, our greatest artisans, absolutely so.

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Speaker 3: And we're gonna talk about that and plenty more. But

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Speaker 3: first we have to ask you, since you are our

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Speaker 3: guest today, what is something from your search history that's

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Speaker 3: revealing about who you are, what you're into.

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Speaker 5: Let's go take a look. Okay, Coming Up Ros's lyrics

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Speaker 5: so Elliot Smith again.

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Speaker 2: Wow?

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Speaker 5: And then effective incident on early on gd in early nineties. Sorry,

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Speaker 5: that tells you everything.

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Speaker 2: I'm sorry. The effect on GDP of the early Internet.

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Speaker 5: Yeah, the effect of Internet on GDP in early nineties. Okay,

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Speaker 5: someone posted in the Internet in the early days. It

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Speaker 5: doesn't Actually, it also didn't affect anything, and it absolutely did.

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Speaker 5: Like this, we'll get onto the Goldman Sachs report, but like, yeah,

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Speaker 5: they like none of this compares to the early Internet.

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Speaker 2: Yeah, I'm just sorry.

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Speaker 3: I know the song Coming Up Rose, but as I

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Speaker 3: look at the lyrics of Coming Up roses Byley Smith.

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Speaker 3: I'm a junk yard full of false starts, and I

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Speaker 3: don't need your permission to bury my love under this

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Speaker 3: bare light bulb. The moon is a sickle cell. It'll

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Speaker 3: kill you in time. Your cold white brother will ride

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Speaker 3: in your blood like spun glass and sore eyes.

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Speaker 2: This is so uh good.

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Speaker 5: And the cold white brother theres Elliot Smith. He was

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Speaker 5: a big rap fan.

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Speaker 3: Yeah, yeah, the brother, Yeah he was.

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Speaker 1: He was doing him and he and him and l

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Speaker 1: cool J at the time. We're trading distracts.

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Speaker 2: So that's oh my god, I call him white Kendrick.

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Speaker 2: Could you imagine? Yeah, it doesn't even make sense, Like,

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Speaker 2: I don't know. I'm sure people would take that to

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Speaker 2: like in a way. Yes, I agree ed. What's something

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Speaker 2: you think is underrated stretching?

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Speaker 5: Because I've sucked my body up again very briefly. I

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Speaker 5: didn't like I managed it. So last year I was

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Speaker 5: doing great mentally, and so I just massively overtrained lifting

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Speaker 5: and boxing and then couldn't work out for eight months

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Speaker 5: because I just messed my arms up. I was also

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Speaker 5: massively overtraining and I didn't stretch before lifting, and I

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Speaker 5: paid for.

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Speaker 2: A big Yeah. Yeah, just a bit big, big done.

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Speaker 2: I like mumble. It's like, dude, I was fucking working

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Speaker 2: out so hard, Like how it was so stupid? It

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Speaker 2: was so dumb man, How did you not?

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Speaker 3: How did you get so serious about like fitness and

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Speaker 3: then like just completely ignore like the tenants of you know, good.

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Speaker 5: Oh I was extremely depress okay, but I was just

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Speaker 5: like in a really bad way, and like working out

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Speaker 5: a ton made me feel less. So I'm like just

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Speaker 5: dealing my mental health to everyone on here.

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Speaker 2: Now. I'm not a good thing again.

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Speaker 5: But I didn't stretch yesterday because I was a dumbass

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Speaker 5: and feeling feeling crunchy today.

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Speaker 1: But you know, you know how to be nice to

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Speaker 1: my friend Ed You might like him when you get

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Speaker 1: to know him.

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Speaker 5: That's what my therapist tells me.

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Speaker 1: Put down Elliott Yeah, not that he's not one of

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Speaker 1: our great lyricists. He is, but you read these lyrics

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Speaker 1: and you're like, oh, yeah, the people that listen to

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Speaker 1: this immediately need to go see a professional.

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Speaker 5: Thing with Elliot Smith. He killed himself tragically, and it's

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Speaker 5: like people like shocked at the time. Did you listen

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Speaker 5: to any of his lyrics? You're like, oh, yeah, how

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Speaker 5: did you say something with Chris Cornell. Sadly, Chris Connell

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Speaker 5: like vividly described killing himself and people.

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Speaker 2: Like shit, he was depressed. It's where we're like this.

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Speaker 2: Those were funny songs. Man, one will do no one

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Speaker 2: will do me in before I do myself.

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Speaker 5: Like, yeah, that that's about like Jack and we thought

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Speaker 5: it was all just checking off.

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Speaker 2: That's what that was about. Big goon. Not an AR

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Speaker 2: fan either, but okay, I'll like to ask you this one. Well. Also,

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Speaker 2: I gotta agree stretching.

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Speaker 3: I'm realizing I need to do more next stretching because

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Speaker 3: I'm self sedentary.

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Speaker 5: A next stretching thing now is so banging? Oh yeah,

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Speaker 5: I got send a resistance thing. Yeah, I'll send you

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Speaker 5: a link. It's called next Level.

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Speaker 1: It's so it's like, yeah, no, that's excellent.

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Speaker 5: Yeah, because of an Instagram ad where Patrick Mahomes is

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Speaker 5: using it.

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Speaker 2: Oh oh it's a product.

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Speaker 1: Yeah.

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Speaker 5: And what's funny though, is I bought it and I

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Speaker 5: was like in my head insulting myself saying, oh yeah,

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Speaker 5: you're just like Patrick Mahomes. And then my trainer was like,

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Speaker 5: you do realize though that he also has a neck, right, Yeah,

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Speaker 5: like he too? Who has a neck and you have

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Speaker 5: a neck, and you both have the same neck muscles.

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Speaker 5: So in that sense, so in that sense, this will

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Speaker 5: help your neck. You will not become Patrick Mahomes. And

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Speaker 5: then I saw the ad again and he is using

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Speaker 5: the top level extra pro thing.

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Speaker 2: His neck must be just oh yeah, you got it.

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Speaker 1: I'm looking and what not just any neck. I'm looking

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Speaker 1: at the photos of this.

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Speaker 2: Guy and it's a neck.

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Speaker 1: Yeah, he looks like he looks like Dwayne the Rod

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Speaker 1: Johnson fucked. Let's see Elijah Wood.

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Speaker 2: I think like.

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Speaker 1: He's okay, whoa, you know what I'm saying. Beautiful eyes

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Speaker 1: and that neck, my goodness. But that voice, yeah, does

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Speaker 1: he have a weird voice. He has like a Kenny

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Speaker 1: Powers voice. Yeah, his southern Oh yeah.

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Speaker 5: There's a video of him after the super Bowl talking

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Speaker 5: about the party that he was at after the super

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Speaker 5: Bowl and someone cuts immediately to the Kenny Powers but

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Speaker 5: was going, yeah, we had the fucking spoon Man.

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Speaker 2: Yeah, the fucking spoon Man torches and ship and it's

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Speaker 2: exactly it's so close, uh ship. That was one of

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Speaker 2: my favorite lines. And he was talking about partying with

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Speaker 2: the spoon Man on his lose a Boast as well.

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Speaker 3: Yeah, but like, but such a good perspective into his world.

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Speaker 3: He was like, oh yeah, I think the depex of

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Speaker 3: socializing is the spoon Man from the Fuck Wow. Speaking

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Speaker 3: of Chris Cornell, he's like fucking out here being like, yeah, man,

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Speaker 3: I just hanging mare Spoonman.

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Speaker 2: Fuck yeah.

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Speaker 1: That Stevie Little's character is maybe one of the greatest

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Speaker 1: television characters of all time.

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Speaker 5: Yeah, oh yeah, I never get that show enough of

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Speaker 5: a chance, but I'm gonna do it.

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Speaker 2: It's gonna happen.

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Speaker 3: Oh man, you damn fix.

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Speaker 2: Fuck you ass bud. He calls some guy ass blood.

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Speaker 1: He also there's a Curtis like he decides he wants

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Speaker 1: to look different, so he starts getting all the surgery.

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Speaker 1: He gets a giant's ice blue context. It's hilarious and

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Speaker 1: I'm really gonna watch this show and you guys want

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Speaker 1: to see ap bio.

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Speaker 5: Yeah, yeah, now that I wish that show went a

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Speaker 5: lot longer.

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Speaker 2: Just Dennis being a teacher.

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Speaker 4: Horror.

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Speaker 2: He's horrible. Yeah, he's worse than this.

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Speaker 1: Terrible dude Mike O'Brien that created that show. He's like

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Speaker 1: one of the great improvisers. I know him a little

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Speaker 1: bit from Chicago, Like, I'm not surprised he made a

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Speaker 1: brilliant show.

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Speaker 5: The underrated thing though New Metal and I have a

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Speaker 5: specific one. Okay, there's a band called Osi that did

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Speaker 5: a cover of Elliott Smith's Christian Brothers, and by the way,

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Speaker 5: a New Metal version of Christian Brothers is really bad news.

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Speaker 5: As where as my therapist didn't just text me, yeah, hey,

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Speaker 5: I got a notification about a song you're listening to,

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Speaker 5: and it's like, it's so it's so good, but so

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Speaker 5: like New Metal, it sounds like it should be on

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Speaker 5: the commercial for a young adult book that got made

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Speaker 5: into a movie called like Injustice three Unjustice. It's so

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Speaker 5: it's so good Osi Christian Brothers. It's so good, but

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Speaker 5: also just like, oh boy, what is good? Like I

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Speaker 5: listened to it a lot and I was.

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Speaker 2: Like, not a good just a quick taste. Mmm, oh god,

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Speaker 2: that's so filf I love it. Wow.

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Speaker 1: Okay, I'm you're a little bit of a little a

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00:16:18,360 --> 00:16:21,760
Speaker 1: little late nineties emo guitar and there am I crazy

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Speaker 1: a little bit?

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Speaker 2: Yeah, it's it's very la guitarist.

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Speaker 5: Yeah, it's also just like cheesy in a white like

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Speaker 5: I'm I'm very one thing. I learned good from a

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Speaker 5: mental health, as proven by the music I listened to,

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Speaker 5: is just being fine, fine with sincere stuff I got

364
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Speaker 5: when I was younger, I got a little bit too

365
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Speaker 5: down the hole of being like I must be cool,

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Speaker 5: I can't like mainstream stuff. And now I'm completely the

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Speaker 5: other way. I just what on TV like this stuff?

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Speaker 5: I'm like, oh, yeah, it's so shit. Oh a filthy

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Speaker 5: little pig. Give me some new new metal, right, No, that's.

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Speaker 1: That's a sign of maturity. Like I will straight up

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Speaker 1: listen to Katie Perry now you know what I mean.

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Speaker 1: That's also wildly optimistic, also good for your mental health,

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Speaker 1: just to like a blind optimism of that, you know,

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Speaker 1: your dude, let them know what you're worth.

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Speaker 5: I'm listening to a band called spokes Beard that was

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00:17:13,800 --> 00:17:18,200
Speaker 5: very positive in that it's like seventies style, like seventies style,

377
00:17:18,280 --> 00:17:20,240
Speaker 5: like psychedelic music. I was listening to them, like, why

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00:17:20,280 --> 00:17:21,840
Speaker 5: am I listening to a happy song?

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Speaker 2: Yeah? I went Christian Brothers. Oh man, yeah, no, I listen.

380
00:17:27,440 --> 00:17:29,800
Speaker 2: You gotta be listen to what you're like, man, listen

381
00:17:29,840 --> 00:17:31,879
Speaker 2: to exactly. That's why, like as you get older, you

382
00:17:31,920 --> 00:17:34,080
Speaker 2: get off the whole thing, like you like that fucking band.

383
00:17:34,080 --> 00:17:37,040
Speaker 2: You like that show? You like that. It's like, dude,

384
00:17:37,119 --> 00:17:39,040
Speaker 2: like life is fucking miserable.

385
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Speaker 5: You have to want to die at least twice. And

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Speaker 5: then you're like, Okay, sure, oh.

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00:17:43,240 --> 00:17:44,760
Speaker 1: You're finding some joy.

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Speaker 2: Nice dude, keep it up for you. That's all you got.

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Speaker 2: That's all you fucking be nice.

390
00:17:49,720 --> 00:17:52,119
Speaker 1: Yeah, Oh you're coming around at Oasis. You know what,

391
00:17:52,160 --> 00:17:55,359
Speaker 1: that's probably really fun for you, actually Oasis.

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Speaker 5: My only problem with them, I think the music's mediocre

393
00:17:58,359 --> 00:18:00,600
Speaker 5: is the I was very much part of the camp,

394
00:18:01,000 --> 00:18:04,000
Speaker 5: the camp from the Niners and Blow is just a

395
00:18:04,000 --> 00:18:07,359
Speaker 5: better band and I can prove it and now the

396
00:18:07,400 --> 00:18:07,960
Speaker 5: power point.

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00:18:08,280 --> 00:18:12,080
Speaker 1: But I'm not talking about better. I'm not talking about

398
00:18:12,200 --> 00:18:16,199
Speaker 1: no musical goods. It's not just pop shit. All they

399
00:18:16,240 --> 00:18:19,040
Speaker 1: did was internalize and rip off like a lot a

400
00:18:19,080 --> 00:18:20,640
Speaker 1: lot of the Beatles and a little bit of the Kinks.

401
00:18:20,680 --> 00:18:22,880
Speaker 5: And they alsoized in such where they're making me incredible

402
00:18:22,920 --> 00:18:23,720
Speaker 5: cover if I'm the.

403
00:18:23,720 --> 00:18:25,840
Speaker 2: Warris too, Yeah, I did.

404
00:18:26,040 --> 00:18:28,879
Speaker 3: I mean for me, I only really care about like

405
00:18:28,920 --> 00:18:32,520
Speaker 3: maybe the like three songs that's on you know, Morning Glory,

406
00:18:32,560 --> 00:18:34,520
Speaker 3: what's a story Morning Glory? And then I need that

407
00:18:34,600 --> 00:18:37,040
Speaker 3: I'm not really aware of them, aside from like the

408
00:18:37,080 --> 00:18:39,680
Speaker 3: Gallagher brothers showing up at like Manchester City matches.

409
00:18:40,000 --> 00:18:41,160
Speaker 1: Yeah, nor do you need to be.

410
00:18:41,320 --> 00:18:43,920
Speaker 5: One comic got shoved outside of a man City match

411
00:18:43,920 --> 00:18:47,240
Speaker 5: at QPR by Noel Gallagher. You did because I was

412
00:18:47,280 --> 00:18:51,040
Speaker 5: in his way? Wow, all right, I've been saying some

413
00:18:51,040 --> 00:18:51,840
Speaker 5: stuff to him too.

414
00:18:52,560 --> 00:18:56,400
Speaker 1: Okay, Yeah, that's tantamount to an autograph?

415
00:18:56,560 --> 00:18:56,760
Speaker 2: Were you?

416
00:18:56,800 --> 00:18:59,119
Speaker 5: They actually also lost the game, so he was not

417
00:18:59,240 --> 00:19:01,679
Speaker 5: placed a man Sea was cramp.

418
00:19:02,000 --> 00:19:04,280
Speaker 2: This was before they were approached by Dubai. Yeah.

419
00:19:04,359 --> 00:19:07,359
Speaker 5: Yeah, this was back when QPR was like CAUSI competitive,

420
00:19:07,480 --> 00:19:09,200
Speaker 5: so like twenty years ago.

421
00:19:09,400 --> 00:19:12,160
Speaker 2: Like when oh, like you know, Adelta upt was one

422
00:19:12,160 --> 00:19:14,240
Speaker 2: of their great wingers. I remember, a very tricky winger

423
00:19:14,320 --> 00:19:17,439
Speaker 2: for Queens Queens Park Rangers. Yeah, we didn't have a

424
00:19:17,480 --> 00:19:19,280
Speaker 2: great winger back then. We lost Kevin Gallon, we had

425
00:19:19,359 --> 00:19:25,679
Speaker 2: less Fernandy basically died. Oh dude, fucking killed me liking soccer.

426
00:19:26,320 --> 00:19:28,679
Speaker 3: Oh, I was gonna say, because I'm like, hold on now,

427
00:19:28,680 --> 00:19:29,960
Speaker 3: because I remember it was trying to get to the

428
00:19:30,040 --> 00:19:32,080
Speaker 3: root of you your sports thing, and now I know

429
00:19:32,560 --> 00:19:35,040
Speaker 3: you died inside because of Queens Park Rangers.

430
00:19:35,280 --> 00:19:39,280
Speaker 5: You don't imagine if you could see like thirty five

431
00:19:39,400 --> 00:19:44,160
Speaker 5: Raiders games a year, and they were worse, right, right right.

432
00:19:44,240 --> 00:19:47,119
Speaker 5: And it was also also it was in a not

433
00:19:47,240 --> 00:19:49,760
Speaker 5: great neighborhood, so every time you went down there it

434
00:19:49,760 --> 00:19:51,720
Speaker 5: was kind of like. I never got hurt or anything,

435
00:19:51,760 --> 00:19:54,160
Speaker 5: but I worried about it. I think everyone did.

436
00:19:54,200 --> 00:19:56,800
Speaker 2: That road laftist roads, kind of a roads.

437
00:19:56,800 --> 00:19:57,200
Speaker 1: Not great.

438
00:19:57,359 --> 00:20:00,679
Speaker 5: It's it's come a bit up more upmarket these days.

439
00:20:01,000 --> 00:20:03,040
Speaker 5: This where I grew up. Who's fine, I grew up

440
00:20:03,119 --> 00:20:05,480
Speaker 5: about fifteen fifteen minute walk down the road.

441
00:20:06,160 --> 00:20:10,199
Speaker 1: All right, it's hilarious. How much of this conversation is

442
00:20:10,280 --> 00:20:13,480
Speaker 1: gibberish to me? Like you guys may as well be

443
00:20:13,520 --> 00:20:16,840
Speaker 1: speaking esperantoo? How much of that?

444
00:20:16,920 --> 00:20:20,679
Speaker 2: I thought? Yea, and understand, we're here. We're here, just

445
00:20:20,720 --> 00:20:24,040
Speaker 2: we're here to talk that wild shit. I just remember, wait,

446
00:20:24,400 --> 00:20:26,199
Speaker 2: Harry red nap, but I think man should keep your

447
00:20:26,359 --> 00:20:30,720
Speaker 2: didn't he? No, that was a long time after I stopped. Yeah, yeah, yeah, yeah,

448
00:20:30,760 --> 00:20:33,879
Speaker 2: all right, Well that do we do? Yeah, we didn't do? What?

449
00:20:33,920 --> 00:20:36,280
Speaker 2: Over rated? Because I've got one. Oh, here we go,

450
00:20:37,040 --> 00:20:40,040
Speaker 2: boys overrated, the boys show the boys.

451
00:20:41,280 --> 00:20:45,879
Speaker 5: This this season has been dogshit on top of it.

452
00:20:45,320 --> 00:20:46,040
Speaker 2: It's lazy.

453
00:20:46,160 --> 00:20:48,679
Speaker 5: It's the last few seasons have been lazy that at

454
00:20:48,720 --> 00:20:51,479
Speaker 5: first it was like slow, it was violent and gory,

455
00:20:51,520 --> 00:20:54,520
Speaker 5: but they were surprising moments. Yeah, you're like, oh, they're exploded.

456
00:20:54,600 --> 00:20:57,880
Speaker 5: Now it's like every episode they explode like nineteen people

457
00:20:58,280 --> 00:21:00,960
Speaker 5: and they even begin the episode with clips of them

458
00:21:00,960 --> 00:21:04,560
Speaker 5: exploding people. And also, I swear to god, Carla Band's

459
00:21:04,640 --> 00:21:08,000
Speaker 5: accent is worse and it was already pretty bad. And

460
00:21:08,040 --> 00:21:10,320
Speaker 5: I'm sure the defense is this is a prestige. I'm

461
00:21:10,320 --> 00:21:11,399
Speaker 5: not offended by it.

462
00:21:11,920 --> 00:21:13,159
Speaker 2: Wait which actors.

463
00:21:13,000 --> 00:21:16,360
Speaker 5: Are Carla Band, the Butcher, Billy Butcher.

464
00:21:16,119 --> 00:21:18,440
Speaker 2: Oh oh oh yeah, yeah, yeah, yeah yeah.

465
00:21:18,720 --> 00:21:20,919
Speaker 5: Because if he wants it to be a prestige, he

466
00:21:20,920 --> 00:21:24,520
Speaker 5: should go further, he should be more ridiculous. But right

467
00:21:24,560 --> 00:21:26,600
Speaker 5: now it's in this weird way and what sex is.

468
00:21:27,320 --> 00:21:31,920
Speaker 5: It's like he will say like West and East London things,

469
00:21:31,920 --> 00:21:34,080
Speaker 5: which is just very weird. I grew up West London

470
00:21:34,080 --> 00:21:38,320
Speaker 5: and the accent is different there, sure, and honestly can

471
00:21:38,400 --> 00:21:41,880
Speaker 5: change depending on the area. East London is very specific

472
00:21:41,880 --> 00:21:43,600
Speaker 5: and bleeds into the rest of London. You get a

473
00:21:43,640 --> 00:21:45,800
Speaker 5: lot of East London slang and he will just say, shit,

474
00:21:45,880 --> 00:21:47,280
Speaker 5: that doesn't make sense.

475
00:21:47,200 --> 00:21:51,000
Speaker 2: Like what's a what's a East Londonism. That does your

476
00:21:51,040 --> 00:21:51,359
Speaker 2: ear in.

477
00:21:52,240 --> 00:21:54,680
Speaker 5: He will be like, it's fucking diabolical. That's one of

478
00:21:54,720 --> 00:21:57,600
Speaker 5: the better ones. I've heard people say that. But I'm

479
00:21:57,600 --> 00:21:59,520
Speaker 5: trying to think of the examples because they're it's like

480
00:21:59,600 --> 00:22:02,040
Speaker 5: trying to remember a gibberish sentence.

481
00:22:01,920 --> 00:22:04,800
Speaker 2: Right, right, right, Yeah, he's got a knockoff.

482
00:22:04,800 --> 00:22:09,639
Speaker 5: You's up with Marvin and you're talking about And the

483
00:22:09,680 --> 00:22:13,480
Speaker 5: thing is, if he wanted to go further, you should

484
00:22:13,520 --> 00:22:16,960
Speaker 5: just go completely This men toss on a timpoy like

485
00:22:18,560 --> 00:22:21,959
Speaker 5: Life of a Brexit Geezer style. Right. If you've not

486
00:22:22,000 --> 00:22:23,640
Speaker 5: seen those videos, please watch them all.

487
00:22:23,760 --> 00:22:26,719
Speaker 2: Take George, I have to. They are my favorite. Wait,

488
00:22:26,880 --> 00:22:29,359
Speaker 2: Life of a Brexit Geezer sounds and.

489
00:22:29,280 --> 00:22:31,960
Speaker 5: It's Life of Brexit Gezer is amazing, by the way.

490
00:22:32,000 --> 00:22:34,080
Speaker 2: That's that if you've not watched it, it's a tree,

491
00:22:34,160 --> 00:22:36,639
Speaker 2: it's a series of memes with a It's back in

492
00:22:36,720 --> 00:22:40,040
Speaker 2: Black by a CBC playing and then it's life of

493
00:22:40,040 --> 00:22:43,240
Speaker 2: a Brexit Geezer. Oh yeah, you can't meet the.

494
00:22:43,200 --> 00:22:47,280
Speaker 5: Wife, Susan. Here's my little Princess's she lovely? And they

495
00:22:47,320 --> 00:22:50,520
Speaker 5: find the worst pictures of people and it's like pitch

496
00:22:50,600 --> 00:22:53,679
Speaker 5: looking lovely to day lads and it's just a brown field.

497
00:22:56,000 --> 00:22:57,440
Speaker 2: Yeah, it's amazing.

498
00:22:57,440 --> 00:23:00,440
Speaker 5: No, I have watched those more than I sho good.

499
00:23:00,800 --> 00:23:03,600
Speaker 2: Oh man, Okay, it's something to get.

500
00:23:03,440 --> 00:23:07,080
Speaker 5: Into and the boys does things very well sometimes, like

501
00:23:07,160 --> 00:23:08,960
Speaker 5: they've got the bloke that I can't remember the name

502
00:23:09,000 --> 00:23:13,000
Speaker 5: of who was in The Walking Dead, Jeffrey something.

503
00:23:14,200 --> 00:23:16,040
Speaker 2: I'm so bad at actors' names.

504
00:23:16,480 --> 00:23:20,040
Speaker 1: Which character Jeffrey Dean Morgan.

505
00:23:21,760 --> 00:23:25,560
Speaker 2: Kesler. Yeah, yeah, yeah, absolutely fantastic. He is so good

506
00:23:25,640 --> 00:23:29,160
Speaker 2: the whole time. He's so such a schmaltzy actor. He's brilliant.

507
00:23:29,320 --> 00:23:33,399
Speaker 2: And Carlo bann Is just sounds like he's having a

508
00:23:33,440 --> 00:23:35,600
Speaker 2: stroke during reading his lines.

509
00:23:35,280 --> 00:23:39,400
Speaker 5: Because they're so off. And again, no problem with making

510
00:23:39,400 --> 00:23:41,880
Speaker 5: fun of British people. They deserve it, but get it

511
00:23:41,960 --> 00:23:44,960
Speaker 5: right or go way over the top, just commit. Are

512
00:23:45,040 --> 00:23:47,439
Speaker 5: you going to be authentic or just bad? Because I

513
00:23:47,440 --> 00:23:49,080
Speaker 5: think bad would be really funny.

514
00:23:49,520 --> 00:23:49,879
Speaker 3: Yeah.

515
00:23:50,480 --> 00:23:55,240
Speaker 1: My favorite sort of kind of offensively silly British gibberish

516
00:23:55,320 --> 00:23:58,439
Speaker 1: is like that toss Pots tis Pot pull of Titley

517
00:23:58,480 --> 00:24:02,480
Speaker 1: whitkz exactly like you can go for it, go for it.

518
00:24:02,560 --> 00:24:03,960
Speaker 2: Yeah, yeah, yeah, don't don't.

519
00:24:04,040 --> 00:24:06,080
Speaker 3: Yeah, It's like it's like anything when you start walking

520
00:24:06,080 --> 00:24:08,560
Speaker 3: that tight rope of accuracy. You're gonna get people who

521
00:24:08,600 --> 00:24:10,720
Speaker 3: are gonna be able to figure you out and be like, ah,

522
00:24:10,960 --> 00:24:13,520
Speaker 3: just look, I'm used to hearing it shitty. Just go

523
00:24:13,600 --> 00:24:15,359
Speaker 3: all in on shitty. But if you're gonna try and

524
00:24:15,400 --> 00:24:17,320
Speaker 3: trick me, then you need to put in more work.

525
00:24:17,400 --> 00:24:20,159
Speaker 1: So yeah, that's I watched The Lighthouse the other day.

526
00:24:20,200 --> 00:24:22,080
Speaker 1: I hadn't seen that what I came out like two

527
00:24:22,119 --> 00:24:24,400
Speaker 1: years ago, I think. And Robert Pattinson is not bad,

528
00:24:24,440 --> 00:24:28,119
Speaker 1: but he's up against Willem Dafoe, who's incredible, you know

529
00:24:28,160 --> 00:24:30,720
Speaker 1: what I mean. And his Pattins's accent is is this

530
00:24:30,960 --> 00:24:35,080
Speaker 1: very strange mix of like mostly Irish and New York

531
00:24:35,240 --> 00:24:37,040
Speaker 1: kind of back and forth, sort of like you're you're

532
00:24:37,040 --> 00:24:38,960
Speaker 1: talking about. It's a real weird move.

533
00:24:39,720 --> 00:24:42,280
Speaker 5: Oh, and he's not bad, but the actual sugar Sugar

534
00:24:42,359 --> 00:24:45,320
Speaker 5: is the funny one with Colin Farrell. Mmm, cause he's

535
00:24:45,359 --> 00:24:47,560
Speaker 5: meant to be like a hard boiled detective.

536
00:24:47,640 --> 00:24:49,840
Speaker 2: I'd be like, yeah, I went I went to the

537
00:24:49,840 --> 00:24:50,760
Speaker 2: bar to check.

538
00:24:50,960 --> 00:24:54,719
Speaker 5: Checked out the bar with the Pierce just like Irish,

539
00:24:55,640 --> 00:24:58,880
Speaker 5: but it's so good you don't mind, yeah, right right,

540
00:24:58,920 --> 00:25:01,080
Speaker 5: Like it's just that's by the way, is amazing.

541
00:25:01,720 --> 00:25:05,080
Speaker 2: Yeah, everyone should watch Sugar Do till the end. Okay,

542
00:25:05,119 --> 00:25:10,440
Speaker 2: good to know the boys. The boys Sugar a bit hotter.

543
00:25:11,400 --> 00:25:13,840
Speaker 3: Check in with us after this break where we will

544
00:25:14,000 --> 00:25:17,359
Speaker 3: dive down into the dregs of the tech world and

545
00:25:17,400 --> 00:25:31,600
Speaker 3: the economy right after this and we're back. As I

546
00:25:31,600 --> 00:25:33,840
Speaker 3: said up top ed, initially, I was like, we got

547
00:25:33,840 --> 00:25:35,160
Speaker 3: to have that on. I need to know what's going

548
00:25:35,160 --> 00:25:36,480
Speaker 3: on with Tesla. I need to know what's happening to

549
00:25:36,520 --> 00:25:38,399
Speaker 3: the cybertruck and we are going to know. We're going

550
00:25:38,480 --> 00:25:40,840
Speaker 3: to talk about that in due time, but there are

551
00:25:40,920 --> 00:25:42,920
Speaker 3: since you are here, I just didn't want to touch

552
00:25:42,960 --> 00:25:44,480
Speaker 3: on two AI stories.

553
00:25:44,080 --> 00:25:47,359
Speaker 2: That popped up over the last week. First, we have

554
00:25:47,480 --> 00:25:52,760
Speaker 2: Google downplaying slash ignoring the energetic cost and what I

555
00:25:52,800 --> 00:25:55,359
Speaker 2: mean is the energy that is used to run AI.

556
00:25:55,840 --> 00:25:58,600
Speaker 2: It almost like, based on this report, it looked like

557
00:25:58,840 --> 00:26:02,959
Speaker 2: they were not actually quantifying what the toll was on

558
00:26:03,000 --> 00:26:05,960
Speaker 2: the environment for them to be running their AI program.

559
00:26:06,119 --> 00:26:07,760
Speaker 3: It was like it was sort of like, you guys

560
00:26:07,840 --> 00:26:10,239
Speaker 3: must know, you guys must know, And they're like, and

561
00:26:10,280 --> 00:26:12,640
Speaker 3: you know, it's who's to know exactly how we can

562
00:26:12,720 --> 00:26:15,400
Speaker 3: measure that because clearly it runs a foul of their

563
00:26:15,440 --> 00:26:18,600
Speaker 3: own stated efforts to be mindful about climate change.

564
00:26:18,720 --> 00:26:22,119
Speaker 2: And so like that it looked that felt like a

565
00:26:22,160 --> 00:26:23,440
Speaker 2: bit of a cover up.

566
00:26:23,560 --> 00:26:28,280
Speaker 5: Would you say now that they've actually increased their carbon

567
00:26:28,280 --> 00:26:31,560
Speaker 5: emissions by forty eight percent over the lush five years.

568
00:26:31,640 --> 00:26:33,080
Speaker 5: I think it was I think it was Rachel Metz

569
00:26:33,080 --> 00:26:36,080
Speaker 5: and Bloomberg who reported that, which is so good. It's

570
00:26:36,160 --> 00:26:38,680
Speaker 5: so good that they did that. Now, just a little

571
00:26:38,680 --> 00:26:42,480
Speaker 5: thing though. Twenty nineteen was when they started this, so hey,

572
00:26:42,520 --> 00:26:46,960
Speaker 5: that was before generating AI. Not true. Large language model

573
00:26:46,960 --> 00:26:49,520
Speaker 5: has been around a minute. But also they've been plugging AI.

574
00:26:49,840 --> 00:26:52,480
Speaker 5: They've been trying to do other AI things too. They

575
00:26:52,560 --> 00:26:54,720
Speaker 5: just don't give a shit. And what's great is I

576
00:26:54,720 --> 00:26:57,040
Speaker 5: think Microsoft were like twenty eight percent in the last

577
00:26:57,040 --> 00:26:57,600
Speaker 5: few years.

578
00:26:57,880 --> 00:27:00,600
Speaker 2: Yeah, something else. It's so good. It's so good they're

579
00:27:00,600 --> 00:27:00,919
Speaker 2: doing this.

580
00:27:01,000 --> 00:27:04,200
Speaker 5: We need to boil the ocean right for big titty

581
00:27:04,200 --> 00:27:05,840
Speaker 5: Garfield totally.

582
00:27:05,920 --> 00:27:08,840
Speaker 1: Yeah, it's I can't wait till we lose the species

583
00:27:08,880 --> 00:27:10,879
Speaker 1: of baboon, just to make sure that we have like

584
00:27:10,960 --> 00:27:13,640
Speaker 1: Thomas the tank Engine but a sexy lady.

585
00:27:13,520 --> 00:27:17,399
Speaker 2: But smoking blunts man from a new album cover my SoundCloud.

586
00:27:17,920 --> 00:27:21,760
Speaker 1: Oh yeah, yeah, I could turn the guy from r

587
00:27:21,800 --> 00:27:24,520
Speaker 1: I p Bozo into a real human being, right.

588
00:27:25,320 --> 00:27:27,760
Speaker 5: Oh god, though someone was doing that with this AI

589
00:27:27,880 --> 00:27:31,679
Speaker 5: generated videos thing. They it was like the woman the

590
00:27:31,720 --> 00:27:34,440
Speaker 5: mean way the woman is turning, it is like looking

591
00:27:34,520 --> 00:27:37,720
Speaker 5: at her boyfriend because her boyfriend is looking at distracted.

592
00:27:38,119 --> 00:27:43,159
Speaker 5: Distracted the foolessly described and they did. They did like

593
00:27:43,200 --> 00:27:45,639
Speaker 5: a video version. It just looked insane, and they're like,

594
00:27:45,760 --> 00:27:47,360
Speaker 5: this is the future.

595
00:27:47,320 --> 00:27:49,920
Speaker 2: I know, And I don't know all these.

596
00:27:49,720 --> 00:27:55,240
Speaker 5: People recent concussion victims, are they just insane?

597
00:27:55,560 --> 00:27:56,800
Speaker 2: Well? Look do they know?

598
00:27:57,600 --> 00:28:01,359
Speaker 1: They've devoted a lot of time to creating this ship,

599
00:28:01,440 --> 00:28:03,560
Speaker 1: so it has to be the future for them.

600
00:28:04,040 --> 00:28:05,199
Speaker 2: Wait, so you tell me.

601
00:28:05,320 --> 00:28:07,199
Speaker 3: I post a little like there's like the one of

602
00:28:07,240 --> 00:28:09,639
Speaker 3: like the evil little girl looking the camera with the

603
00:28:09,640 --> 00:28:12,159
Speaker 3: burning house behind her, you know what I mean, And

604
00:28:12,200 --> 00:28:14,439
Speaker 3: then they animated that or like she then looks at

605
00:28:14,440 --> 00:28:16,600
Speaker 3: the camera and then like a firefighter comes over and

606
00:28:16,600 --> 00:28:18,239
Speaker 3: she's like nice to meet you, and you're like, what

607
00:28:18,320 --> 00:28:18,640
Speaker 3: the fuck?

608
00:28:18,840 --> 00:28:21,359
Speaker 2: What what is this? Like what you need? This is

609
00:28:21,400 --> 00:28:22,159
Speaker 2: what was missing?

610
00:28:22,600 --> 00:28:25,399
Speaker 1: Or like the feature length film of the Dog and

611
00:28:25,440 --> 00:28:29,119
Speaker 1: the House on fire with it this is just fine? Yeah, right,

612
00:28:29,160 --> 00:28:30,400
Speaker 1: I need that to be a two and a half

613
00:28:30,440 --> 00:28:31,000
Speaker 1: hour drama.

614
00:28:31,040 --> 00:28:35,640
Speaker 5: I have no imagination. I cannot imagine means.

615
00:28:35,440 --> 00:28:38,320
Speaker 2: And also meet right, and when I look at a meme,

616
00:28:38,440 --> 00:28:40,840
Speaker 2: I need to know the entire backstory and you know,

617
00:28:40,920 --> 00:28:44,560
Speaker 2: subsequent happenings and contained within this visual there.

618
00:28:44,680 --> 00:28:49,160
Speaker 1: Yeah, I need HBO level true detective style production work.

619
00:28:49,320 --> 00:28:52,440
Speaker 5: And I need a MAX level series of franchises to

620
00:28:52,520 --> 00:28:53,000
Speaker 5: follow it.

621
00:28:53,200 --> 00:28:53,400
Speaker 4: Right.

622
00:28:53,600 --> 00:28:57,200
Speaker 2: Oh you're giving now, you're putting on some good ideas.

623
00:28:57,280 --> 00:28:57,840
Speaker 2: Oh what's great?

624
00:28:57,880 --> 00:28:58,000
Speaker 6: Though?

625
00:28:58,040 --> 00:29:00,200
Speaker 5: It is all these AI people they love to say, like, yeah, yeah,

626
00:29:00,200 --> 00:29:03,440
Speaker 5: I can finally watch Narcos with Travis kelcey and miss

627
00:29:03,480 --> 00:29:04,120
Speaker 5: the Beast in it.

628
00:29:04,120 --> 00:29:07,360
Speaker 2: It's like, yeah, that's the fuck you. Why do you

629
00:29:07,400 --> 00:29:11,479
Speaker 2: watch television? Yeah, I watch the sort I can control

630
00:29:11,560 --> 00:29:12,240
Speaker 2: the television.

631
00:29:12,520 --> 00:29:15,400
Speaker 1: Yeah, how about so it's all yeah, it's all men

632
00:29:15,440 --> 00:29:18,160
Speaker 1: trying to control the universe. That's not all this shit is.

633
00:29:18,280 --> 00:29:21,600
Speaker 3: Yeah, I don't like that person, and I'm too scared

634
00:29:21,640 --> 00:29:24,000
Speaker 3: to do psychedelics and trip in my own mind and

635
00:29:24,000 --> 00:29:24,720
Speaker 3: figure shit out.

636
00:29:24,840 --> 00:29:27,400
Speaker 2: So I will make the AI put Travis kelce in

637
00:29:27,440 --> 00:29:28,000
Speaker 2: the boys.

638
00:29:28,360 --> 00:29:31,360
Speaker 1: I need to give Ellen double d's because I'm incapable

639
00:29:31,360 --> 00:29:32,120
Speaker 1: of meditating.

640
00:29:32,440 --> 00:29:34,920
Speaker 5: Right, I love it too, because it's not even like

641
00:29:36,000 --> 00:29:38,760
Speaker 5: close to doing one of these things at all.

642
00:29:39,280 --> 00:29:42,160
Speaker 2: Yeah, like it's not even slightly close.

643
00:29:42,520 --> 00:29:44,680
Speaker 5: You can't get like you get like a half a

644
00:29:44,680 --> 00:29:47,000
Speaker 5: minute long video that takes about twenty minutes.

645
00:29:47,440 --> 00:29:48,240
Speaker 2: I've talked to people.

646
00:29:48,240 --> 00:29:51,240
Speaker 5: If you Saura the open AI generative video thing, and

647
00:29:51,280 --> 00:29:53,560
Speaker 5: you do you wait like ten to twenty minutes for

648
00:29:53,600 --> 00:29:56,720
Speaker 5: a three to twenty second video and it will sometimes

649
00:29:56,760 --> 00:29:59,120
Speaker 5: just have sheet you didn't ask for. But there were

650
00:29:59,160 --> 00:30:01,040
Speaker 5: these guys that did have about a guy with a

651
00:30:01,080 --> 00:30:04,280
Speaker 5: balloon for a head. Thrilling huh, And every time they

652
00:30:04,320 --> 00:30:06,880
Speaker 5: generated it, it was a different looking balloon, and sometimes

653
00:30:06,960 --> 00:30:08,160
Speaker 5: the balloon had a face on it.

654
00:30:09,360 --> 00:30:12,040
Speaker 2: They're like, no, the balloon is the head.

655
00:30:12,640 --> 00:30:15,560
Speaker 5: The I was like, yep, yep, balloon face, got it,

656
00:30:15,760 --> 00:30:19,880
Speaker 5: got it, ballonhead right there. It's like they're mimicking how

657
00:30:19,920 --> 00:30:24,160
Speaker 5: they deal with those significant others. Yeah, I think, sure, whatever,

658
00:30:24,200 --> 00:30:26,720
Speaker 5: fuck it, here's the blue balloon head.

659
00:30:26,720 --> 00:30:27,800
Speaker 2: What else? Yeah? Fuck it?

660
00:30:27,880 --> 00:30:31,520
Speaker 5: Okay, I need to read the computer more. And it's

661
00:30:31,560 --> 00:30:34,320
Speaker 5: so cool that this also costs so much. It's just

662
00:30:35,240 --> 00:30:36,000
Speaker 5: I live in hell.

663
00:30:36,600 --> 00:30:39,000
Speaker 2: Yeah, I look at this stuff. I'm just like, the

664
00:30:39,280 --> 00:30:43,080
Speaker 2: fuck why are we doing this? Why?

665
00:30:43,320 --> 00:30:45,200
Speaker 3: I mean yeah, right, I mean the huge part is

666
00:30:45,200 --> 00:30:47,880
Speaker 3: that this has become the new thing to prop up

667
00:30:47,920 --> 00:30:50,200
Speaker 3: the tech industry and just bring in a ton of

668
00:30:50,240 --> 00:30:52,760
Speaker 3: investment and say that this is the future and promise

669
00:30:52,840 --> 00:30:56,080
Speaker 3: things that it cannot do. And you know, as I

670
00:30:56,120 --> 00:30:59,880
Speaker 3: think as listeners of the show have have watched or listened,

671
00:31:00,240 --> 00:31:01,360
Speaker 3: it went from me going.

672
00:31:01,120 --> 00:31:03,520
Speaker 2: Like, holy shit, dude, it could fucking.

673
00:31:03,320 --> 00:31:07,720
Speaker 3: Pass a medical exam, to now, after like interacting more

674
00:31:07,800 --> 00:31:10,040
Speaker 3: with experts in the field, being like, oh, it's right.

675
00:31:10,160 --> 00:31:11,920
Speaker 3: That was that was the point of that early shit

676
00:31:12,000 --> 00:31:14,240
Speaker 3: to get me to think like it's gonna fuck the world,

677
00:31:14,360 --> 00:31:17,840
Speaker 3: and it's really just a lot of chest puffing to

678
00:31:17,920 --> 00:31:20,040
Speaker 3: try and get more investment, which brings you to the

679
00:31:20,080 --> 00:31:21,120
Speaker 3: second thing that happened.

680
00:31:21,400 --> 00:31:25,400
Speaker 2: Goldman Sachs. They had a report where they essentially said

681
00:31:25,400 --> 00:31:28,240
Speaker 2: the thing most of people like you, Ed and our

682
00:31:28,280 --> 00:31:31,440
Speaker 2: past guests who have been, you know, very vocal doubters

683
00:31:31,480 --> 00:31:35,320
Speaker 2: about the AI revolution have also said the sort of

684
00:31:35,360 --> 00:31:38,200
Speaker 2: there's like a blurb within this Goldman Sack report about

685
00:31:38,240 --> 00:31:41,120
Speaker 2: generative AI that's essentially it's like, yeah, it's not that

686
00:31:41,240 --> 00:31:45,600
Speaker 2: great and also no financial upside. Really hard to see that.

687
00:31:46,280 --> 00:31:48,840
Speaker 5: So this report is like thirty one pages and it

688
00:31:48,880 --> 00:31:52,440
Speaker 5: came out June twenty fifth God called David's Javid Jesus

689
00:31:52,560 --> 00:31:54,600
Speaker 5: Christ Jacob Silverman.

690
00:31:55,000 --> 00:31:57,200
Speaker 2: Okay, wow, Javid ak.

691
00:31:57,840 --> 00:31:58,440
Speaker 1: It's a cool name.

692
00:31:58,480 --> 00:31:59,040
Speaker 2: Actually yeah.

693
00:31:59,080 --> 00:32:01,760
Speaker 5: He posted it a few days ago and I sat

694
00:32:01,800 --> 00:32:04,760
Speaker 5: there on the day after July fourth, July fifth, as

695
00:32:04,760 --> 00:32:08,000
Speaker 5: it's known, and britting it out, read it on like

696
00:32:08,040 --> 00:32:12,120
Speaker 5: physical paper and just sat there just like pissing myself laughing,

697
00:32:12,160 --> 00:32:14,680
Speaker 5: because there is a bit in it with this guy

698
00:32:14,720 --> 00:32:18,200
Speaker 5: called Jim Cavello, who is a head of global equity

699
00:32:18,280 --> 00:32:22,000
Speaker 5: research at Goldmn Sachs. And this guy just sits there

700
00:32:22,000 --> 00:32:25,840
Speaker 5: and goes, no, this is this is stupid, this is bad.

701
00:32:25,840 --> 00:32:28,840
Speaker 5: There's a whole bit where he talks about people a

702
00:32:28,880 --> 00:32:30,480
Speaker 5: lot of the defenses of AI. They're like, well, the

703
00:32:30,520 --> 00:32:34,160
Speaker 5: early days of the Internet were very expensive, and he's like,

704
00:32:34,800 --> 00:32:38,080
Speaker 5: that's not true. People point out read out quote fear.

705
00:32:38,160 --> 00:32:40,840
Speaker 5: People point to the enormous cost decline in servers within

706
00:32:40,920 --> 00:32:43,160
Speaker 5: a few years of their inception in the late nineties,

707
00:32:43,200 --> 00:32:45,960
Speaker 5: but the number of sixty four thousand dollars Sun microsystem

708
00:32:46,000 --> 00:32:49,280
Speaker 5: servers required to power the Internet technology transition in the

709
00:32:49,360 --> 00:32:52,080
Speaker 5: late nineties pales in comparison to the number of expensive

710
00:32:52,160 --> 00:32:55,480
Speaker 5: chips required to power the AI transition today, even without

711
00:32:55,560 --> 00:32:57,400
Speaker 5: including the replacement of the power grid.

712
00:32:59,360 --> 00:33:02,160
Speaker 2: He just this guy. I'd never heard of him before.

713
00:33:02,280 --> 00:33:03,560
Speaker 2: He's been doing this decades.

714
00:33:03,840 --> 00:33:06,920
Speaker 5: There are articles from like nine years ago saying, yeah,

715
00:33:07,000 --> 00:33:09,720
Speaker 5: Jim's been on number one analyst for since two thousand

716
00:33:09,760 --> 00:33:13,840
Speaker 5: and nine. Wow, And he called Intel early when Intel

717
00:33:13,920 --> 00:33:15,360
Speaker 5: was going through bad shit. He used to be a

718
00:33:15,400 --> 00:33:16,560
Speaker 5: semiconductor's reporter.

719
00:33:17,000 --> 00:33:20,280
Speaker 2: He even adds that this is the best part on

720
00:33:20,360 --> 00:33:21,560
Speaker 2: this thing. He's saying.

721
00:33:21,640 --> 00:33:25,960
Speaker 5: People say, oh, yeah, people didn't predict smartphones, and he said, actually,

722
00:33:26,040 --> 00:33:29,720
Speaker 5: I sat through thousands of presentations predicting smartphones in the

723
00:33:29,760 --> 00:33:33,600
Speaker 5: two thousands, right, and they pretty much matched to exactly.

724
00:33:33,720 --> 00:33:36,640
Speaker 5: He even says, yeah, we all thought GPS was going

725
00:33:36,680 --> 00:33:38,800
Speaker 5: to be in a phone. We all thought that was

726
00:33:38,800 --> 00:33:41,120
Speaker 5: gonna happen, but it wasn't cheap enough yet. And he said,

727
00:33:41,160 --> 00:33:44,200
Speaker 5: no such roadmap exists for AI. And there are multiple

728
00:33:44,240 --> 00:33:48,320
Speaker 5: other people in it. There's a guy called smo Glue

729
00:33:48,320 --> 00:33:53,040
Speaker 5: from MIT. Let's see, yeah, Darren smo Glue. He's an

730
00:33:53,080 --> 00:33:56,120
Speaker 5: institute professor at MIT. His whole thing is just saying, yeah,

731
00:33:56,120 --> 00:33:58,440
Speaker 5: it's not gonna have much effect on productivity or GDP

732
00:33:59,000 --> 00:34:00,440
Speaker 5: everyone's estimates, but.

733
00:34:00,800 --> 00:34:03,640
Speaker 2: They just sit there and they're ruthless. They go through

734
00:34:03,680 --> 00:34:06,080
Speaker 2: them line. But and I just put out a newsletter

735
00:34:06,120 --> 00:34:10,040
Speaker 2: about this, and it's crazy because gold and Sex, no soul,

736
00:34:10,239 --> 00:34:13,319
Speaker 2: not a soul in that building. They're not doing this

737
00:34:13,400 --> 00:34:14,040
Speaker 2: because they're like.

738
00:34:14,000 --> 00:34:16,719
Speaker 5: We need to let people know, no, they're doing it

739
00:34:16,800 --> 00:34:19,799
Speaker 5: so that they can get This was a report. I

740
00:34:19,800 --> 00:34:22,080
Speaker 5: don't know how this was distributed. It wasn't sent out

741
00:34:22,120 --> 00:34:25,640
Speaker 5: to the media. It was just sitting there. And what's

742
00:34:25,680 --> 00:34:29,120
Speaker 5: wild is this was probably sent out to people just saying, yeah,

743
00:34:29,320 --> 00:34:32,600
Speaker 5: I would just start and it even says where to

744
00:34:32,600 --> 00:34:35,600
Speaker 5: put your money as well. It's like it's talking about

745
00:34:35,600 --> 00:34:37,920
Speaker 5: how you should keep investing for now. But this has

746
00:34:37,920 --> 00:34:39,759
Speaker 5: got maybe twelve to eighteen months.

747
00:34:39,520 --> 00:34:42,440
Speaker 2: Which I think is a bastic and it's just brutal

748
00:34:42,520 --> 00:34:43,560
Speaker 2: because it's one thing.

749
00:34:43,760 --> 00:34:46,280
Speaker 5: I've said it a lot. I said it in like March,

750
00:34:46,840 --> 00:34:48,600
Speaker 5: I was saying this kind of thing. But I am

751
00:34:48,640 --> 00:34:51,239
Speaker 5: a guy, like I'm just the guy. I run a

752
00:34:51,239 --> 00:34:54,640
Speaker 5: PR firm, I do a podcast. This guy is there

753
00:34:54,640 --> 00:34:59,960
Speaker 5: are blockades of analysts, the MIT guys, very well known professor.

754
00:35:00,880 --> 00:35:01,520
Speaker 2: So I missed that.

755
00:35:02,200 --> 00:35:03,600
Speaker 3: No, I just know I just thought I was just

756
00:35:03,719 --> 00:35:06,080
Speaker 3: doing some promo I said better off where he's sub

757
00:35:06,719 --> 00:35:09,799
Speaker 3: pushing the newsletter. That's what shout out where's're aed at,

758
00:35:10,120 --> 00:35:11,799
Speaker 3: shout out basement jacks, shout out Rudy.

759
00:35:12,320 --> 00:35:14,160
Speaker 5: But what's great about it as well is the bit

760
00:35:14,200 --> 00:35:16,560
Speaker 5: where there's an interview with Microsoft's form A VP of

761
00:35:16,680 --> 00:35:17,600
Speaker 5: Energy and he's just.

762
00:35:17,480 --> 00:35:19,839
Speaker 2: Like, yeah, we need to build a new power grid.

763
00:35:20,480 --> 00:35:22,600
Speaker 2: We need a new one, we need a new one.

764
00:35:22,880 --> 00:35:27,040
Speaker 2: And by the way, uh, America really isn't capable of

765
00:35:27,080 --> 00:35:31,839
Speaker 2: doing this. Wow, it's just like this kind of is American. Yeah,

766
00:35:31,880 --> 00:35:32,879
Speaker 2: it's just for.

767
00:35:33,000 --> 00:35:35,719
Speaker 1: Stuff that and that no one wants and is not

768
00:35:35,880 --> 00:35:37,320
Speaker 1: good for people like that.

769
00:35:38,480 --> 00:35:41,640
Speaker 5: There's a bit where Jim Cavello even says it's a

770
00:35:41,680 --> 00:35:44,319
Speaker 5: trillion it's gonna cost a trillion dollars to get this done,

771
00:35:44,560 --> 00:35:46,839
Speaker 5: and there's no trillion dollar problem. It solves and it

772
00:35:47,000 --> 00:35:48,960
Speaker 5: needs to solve complex problems and it.

773
00:35:49,040 --> 00:35:50,919
Speaker 2: Can't just it can't.

774
00:35:51,000 --> 00:35:52,680
Speaker 5: He doesn't go like it could. He's just like, not

775
00:35:52,880 --> 00:35:54,520
Speaker 5: can't mean it's not gonna happen.

776
00:35:54,760 --> 00:35:57,120
Speaker 3: It feels like with this, like to have the Wall

777
00:35:57,160 --> 00:35:59,520
Speaker 3: Street money be like, I don't know about this.

778
00:35:59,640 --> 00:35:59,839
Speaker 2: Yeah.

779
00:36:00,040 --> 00:36:02,800
Speaker 3: It feels a bit like the reckoning is now upon

780
00:36:02,880 --> 00:36:06,440
Speaker 3: us and like, I mean, how will sort of the

781
00:36:06,520 --> 00:36:10,040
Speaker 3: lack of confidence in generative AI from a huge player

782
00:36:10,120 --> 00:36:12,759
Speaker 3: like Goldman Sachs like affect things Because I feel like,

783
00:36:13,040 --> 00:36:17,480
Speaker 3: normally in another industry, like the industry would respond with

784
00:36:17,520 --> 00:36:20,560
Speaker 3: some new shiny product, but the last few new shiny

785
00:36:20,640 --> 00:36:24,080
Speaker 3: things the AI industry has trotted out have fallen like

786
00:36:24,200 --> 00:36:27,879
Speaker 3: woefully short or ended in drama with Scarlett Johansson. So

787
00:36:28,120 --> 00:36:31,200
Speaker 3: I'm like, is there is there any kind of rebuttal

788
00:36:31,239 --> 00:36:33,279
Speaker 3: from the industry, like how do they kind of keep

789
00:36:33,320 --> 00:36:35,560
Speaker 3: the ball moving? I get that some people are trying

790
00:36:35,600 --> 00:36:37,319
Speaker 3: to be a little bit revisionist and be like, well,

791
00:36:37,440 --> 00:36:40,040
Speaker 3: this happened with other things that were early on that

792
00:36:40,280 --> 00:36:43,799
Speaker 3: entirely changed our economy, But this feels I don't know,

793
00:36:43,840 --> 00:36:44,040
Speaker 3: like what.

794
00:36:45,320 --> 00:36:49,120
Speaker 5: Jim Cavello quite literally goes off to the specific points

795
00:36:49,160 --> 00:36:51,560
Speaker 5: where people say, well in the past, it's like, it's

796
00:36:51,600 --> 00:36:52,680
Speaker 5: not what happened in the past.

797
00:36:53,160 --> 00:36:57,320
Speaker 2: He cools it revisionist history. He's he's just complete gloves.

798
00:36:57,719 --> 00:36:59,600
Speaker 2: It's not neo. At the end of the matrix, it's

799
00:36:59,640 --> 00:37:02,320
Speaker 2: kind of beautiful. Oh he puts the bullet out of

800
00:37:02,400 --> 00:37:02,719
Speaker 2: the air.

801
00:37:02,920 --> 00:37:05,440
Speaker 5: Just stuff that, but also just the one handed knocking

802
00:37:05,480 --> 00:37:09,480
Speaker 5: of the punches, oh yeah, and he'd been like yo, yeah, yeah.

803
00:37:09,520 --> 00:37:12,840
Speaker 5: And because Cavello doesn't give a shit, he's probably insanely

804
00:37:12,880 --> 00:37:14,880
Speaker 5: well paid to be good at this and actually is.

805
00:37:15,160 --> 00:37:18,080
Speaker 5: Literally a month ago, Goldman was saying, oh, yeah, a

806
00:37:18,280 --> 00:37:18,959
Speaker 5: I could grow.

807
00:37:19,160 --> 00:37:20,120
Speaker 2: We're optimistic.

808
00:37:20,560 --> 00:37:23,880
Speaker 5: Yeah, but they have they have too many analysts and

809
00:37:23,920 --> 00:37:26,480
Speaker 5: this guy's the head and it confirms my biases. So

810
00:37:26,480 --> 00:37:30,680
Speaker 5: I'm going with this guy. But with this movement, it's

811
00:37:30,840 --> 00:37:32,960
Speaker 5: very strange. So I wrote a piece of a couple

812
00:37:33,000 --> 00:37:34,920
Speaker 5: like a month or so ago called the rock com Bubble.

813
00:37:35,160 --> 00:37:37,200
Speaker 5: The biggest problem that tech has right now is it

814
00:37:37,200 --> 00:37:39,960
Speaker 5: doesn't have any hypergrowth markets. It hasn't had any for

815
00:37:39,960 --> 00:37:42,240
Speaker 5: a while. If you actually look back, it's like twenty

816
00:37:42,280 --> 00:37:48,439
Speaker 5: fifteen at the latest that it ran out of ideas well,

817
00:37:48,440 --> 00:37:51,400
Speaker 5: that was around the time of smart watches. Oh okay,

818
00:37:51,680 --> 00:37:55,360
Speaker 5: smart watches, connected fitness, smart home as well, smart homes,

819
00:37:55,400 --> 00:37:57,319
Speaker 5: big twenty tens thing. They were like, this is going

820
00:37:57,360 --> 00:37:59,320
Speaker 5: to be huge, and it was huge.

821
00:37:59,719 --> 00:38:02,200
Speaker 2: Yeah, but neither two things you need and it's over.

822
00:38:02,800 --> 00:38:06,720
Speaker 5: But not like cloud compute, e commerce, the actual big movements,

823
00:38:06,760 --> 00:38:08,680
Speaker 5: and there hasn't been one for a while. So you've

824
00:38:08,680 --> 00:38:11,480
Speaker 5: seen things like crypto. Crypto I actually put to the

825
00:38:11,480 --> 00:38:13,440
Speaker 5: psite because crypto was not adopted by a lot of

826
00:38:13,440 --> 00:38:17,160
Speaker 5: the tech industry, just a lot of venture capitalists. Metaverse ar,

827
00:38:18,160 --> 00:38:22,840
Speaker 5: augmented reality VR. These things popped up and they were like, Okay,

828
00:38:22,880 --> 00:38:25,759
Speaker 5: these are the future now. And I think it's because

829
00:38:25,800 --> 00:38:28,000
Speaker 5: none of the people at the top actually use products

830
00:38:28,080 --> 00:38:31,279
Speaker 5: or build anything. They're all management consultants. Almost every tech

831
00:38:31,280 --> 00:38:35,239
Speaker 5: company is poisoned with NBAS. But on top of that,

832
00:38:35,600 --> 00:38:39,480
Speaker 5: the AI boom is very scary for them because it's

833
00:38:39,520 --> 00:38:43,920
Speaker 5: been so successful hype wise, it's got so much attention,

834
00:38:44,680 --> 00:38:48,439
Speaker 5: and they've told so many lies. They've lied so much

835
00:38:48,480 --> 00:38:50,520
Speaker 5: about it. They've said it can do things in the

836
00:38:50,560 --> 00:38:54,799
Speaker 5: future that it literally cannot do. There is no situation

837
00:38:55,280 --> 00:38:59,960
Speaker 5: where generative AI is going to become the kind of

838
00:39:00,040 --> 00:39:03,920
Speaker 5: viciual general intelligence they call it. Right, that's consciousness. It's

839
00:39:03,960 --> 00:39:06,680
Speaker 5: a math machine. It's a very complex math machine, but that's.

840
00:39:06,520 --> 00:39:08,920
Speaker 2: All it is. And computer.

841
00:39:09,160 --> 00:39:11,560
Speaker 5: Yeah, it's going to take a minute for this bubble

842
00:39:11,600 --> 00:39:14,640
Speaker 5: to burst because they've all doubled and tripled down. But

843
00:39:14,680 --> 00:39:16,960
Speaker 5: what I think is going to change it is two things.

844
00:39:17,120 --> 00:39:19,239
Speaker 5: Number One, I think a big AI company is going

845
00:39:19,320 --> 00:39:22,160
Speaker 5: to tits up. I think there's going to be someone

846
00:39:22,200 --> 00:39:25,200
Speaker 5: like cohere, who was it here? They made an AI

847
00:39:25,360 --> 00:39:27,840
Speaker 5: powered software engineer that they actually had to fake the

848
00:39:27,880 --> 00:39:28,360
Speaker 5: demo for.

849
00:39:29,160 --> 00:39:30,919
Speaker 3: You look behind the scenes with most of so many

850
00:39:30,960 --> 00:39:33,960
Speaker 3: mechanical turk ass fucking stems.

851
00:39:33,440 --> 00:39:35,319
Speaker 2: That they trot out and be like, no, it's doing it.

852
00:39:35,320 --> 00:39:38,399
Speaker 2: It's a dude behind a curtain. This wasn't even a dude.

853
00:39:38,400 --> 00:39:40,880
Speaker 2: They just didn't. They just faked it. The video just

854
00:39:40,920 --> 00:39:44,160
Speaker 2: faked it. They all like the video there it is

855
00:39:44,320 --> 00:39:47,040
Speaker 2: yea and a guy, a software engineer, just cut between it.

856
00:39:47,040 --> 00:39:49,319
Speaker 2: It's like, no, you see that. The time moves right.

857
00:39:49,680 --> 00:39:52,200
Speaker 5: Great, So one of those companies is going to go

858
00:39:52,239 --> 00:39:55,439
Speaker 5: tits up, and when that happens, that's going to scare

859
00:39:55,480 --> 00:39:58,040
Speaker 5: the venture capitalists and then they're going to push their

860
00:39:58,080 --> 00:40:01,080
Speaker 5: startups they're invested in to start selling. I also think

861
00:40:01,160 --> 00:40:03,200
Speaker 5: Character Ai is another one that raised one hundred and

862
00:40:03,200 --> 00:40:06,000
Speaker 5: fifty million dollars from Andres and Horowitz so that you

863
00:40:06,000 --> 00:40:09,520
Speaker 5: can talk to so Thoro Gojo from jiu Jitsu Kaizen.

864
00:40:09,239 --> 00:40:10,080
Speaker 2: In a chat bomb.

865
00:40:10,120 --> 00:40:13,000
Speaker 5: Oh yeah wow, well, I mean it's not like that

866
00:40:13,080 --> 00:40:14,240
Speaker 5: fucking manga comes.

867
00:40:14,080 --> 00:40:16,360
Speaker 2: Out very off anyway. Yeah.

868
00:40:16,600 --> 00:40:20,440
Speaker 5: Sorry, it's gone around there. But also at any time

869
00:40:20,680 --> 00:40:23,399
Speaker 5: in the next few quarters, I believe the market will

870
00:40:23,440 --> 00:40:26,040
Speaker 5: go Okay, so we love that you're spending hundreds of

871
00:40:26,080 --> 00:40:29,080
Speaker 5: billions of dollars or nothing. Have you made any money?

872
00:40:29,280 --> 00:40:29,600
Speaker 2: No?

873
00:40:30,000 --> 00:40:32,440
Speaker 5: And if you look in the recent earnings, every single

874
00:40:32,480 --> 00:40:36,239
Speaker 5: company is like, yeah, AI, revenue is gonna be incremental.

875
00:40:36,360 --> 00:40:39,000
Speaker 5: It's gonna take a minute, but you know the future's

876
00:40:39,200 --> 00:40:41,080
Speaker 5: future is good, right.

877
00:40:41,440 --> 00:40:45,480
Speaker 2: And at some point the market's gonna say, hey, why

878
00:40:45,520 --> 00:40:48,080
Speaker 2: no money come out?

879
00:40:47,040 --> 00:40:51,520
Speaker 1: Why not like me like money money now?

880
00:40:51,840 --> 00:40:54,839
Speaker 2: But he is no c money and what's going on?

881
00:40:55,200 --> 00:40:58,080
Speaker 5: They probably have two three more quarters, but I think

882
00:40:58,120 --> 00:41:01,120
Speaker 5: like two, this can only go so long, go on

883
00:41:01,200 --> 00:41:03,880
Speaker 5: so far. At some point they have to be like,

884
00:41:03,960 --> 00:41:05,239
Speaker 5: there's no money coming here.

885
00:41:05,200 --> 00:41:07,319
Speaker 3: Like fuck it, get Miles Dason out here. We're doing

886
00:41:07,320 --> 00:41:09,000
Speaker 3: Skynet man.

887
00:41:09,200 --> 00:41:11,120
Speaker 5: And it all goes back to the guy called Jack Welch.

888
00:41:11,400 --> 00:41:13,080
Speaker 5: You should look up Jack Welch did the whole thing

889
00:41:13,120 --> 00:41:14,839
Speaker 5: of the shareholder supremacy last week.

890
00:41:15,000 --> 00:41:17,520
Speaker 1: He is he of the Welch's group family.

891
00:41:17,920 --> 00:41:22,920
Speaker 2: No, no about Geo ge g e Oh Jack.

892
00:41:22,719 --> 00:41:25,279
Speaker 5: Welch, Yes, the one who the man Great book called

893
00:41:25,560 --> 00:41:29,640
Speaker 5: the man who destroyed capitalism by Derek Geis David Gellus Jesus.

894
00:41:29,800 --> 00:41:31,960
Speaker 1: I wish he was the great Man. I want to

895
00:41:32,000 --> 00:41:33,200
Speaker 1: hear from the great Man, but keep going.

896
00:41:33,600 --> 00:41:36,279
Speaker 5: But basically that man taught the world of capitalism how

897
00:41:36,320 --> 00:41:39,520
Speaker 5: it is today. Please it's like an eleven thousand word newsletter.

898
00:41:40,040 --> 00:41:42,879
Speaker 5: But nevertheless, everything has come down to a point when

899
00:41:42,960 --> 00:41:45,680
Speaker 5: all of these tech companies are built to show growth

900
00:41:46,080 --> 00:41:49,920
Speaker 5: and build for growth. They're not built to build thing

901
00:41:50,040 --> 00:41:54,840
Speaker 5: stuff people want. All of them are run by NBA's

902
00:41:54,880 --> 00:41:57,440
Speaker 5: Mark Zuckerberg. Fun fact about Mark Zuckerberg. One of the

903
00:41:57,480 --> 00:42:00,239
Speaker 5: defenses of Mark Zuckerberg is he's a coder.

904
00:42:00,320 --> 00:42:03,200
Speaker 2: Right, He's a guy. He's the guy who coded Facebook.

905
00:42:03,600 --> 00:42:06,440
Speaker 2: You want to know when he stopped coding two thousand

906
00:42:06,440 --> 00:42:10,480
Speaker 2: and six. O ooh, my man has not coded for

907
00:42:10,520 --> 00:42:11,200
Speaker 2: eighteen years.

908
00:42:11,960 --> 00:42:14,439
Speaker 5: The Facebook is a mess. He doesn't give a shit.

909
00:42:14,760 --> 00:42:18,200
Speaker 5: But I think also meta is one of the weakest ones.

910
00:42:18,760 --> 00:42:21,200
Speaker 5: I think Meta is probably one that's going to have trouble.

911
00:42:21,200 --> 00:42:23,360
Speaker 5: But I think if anyone's gonna get their ass raamed

912
00:42:23,880 --> 00:42:27,160
Speaker 5: for this whole generative a I think it's Microsoft, Microsoft

913
00:42:27,200 --> 00:42:30,759
Speaker 5: and Google. But Microsoft, primarily because they're spending so much

914
00:42:30,840 --> 00:42:36,000
Speaker 5: on buildouts. They have become Oracle's biggest customer because Oracle

915
00:42:36,000 --> 00:42:38,839
Speaker 5: builds data centers. I learned that very recently, and it

916
00:42:38,880 --> 00:42:42,240
Speaker 5: bothers me. We're all looking at this and I think, honestly,

917
00:42:42,680 --> 00:42:45,840
Speaker 5: it's just getting bad. I just think most people realize

918
00:42:45,840 --> 00:42:48,239
Speaker 5: how bad it is. Most people are pissed off about this,

919
00:42:48,360 --> 00:42:52,520
Speaker 5: and most people would love it if AI actually was useful,

920
00:42:52,640 --> 00:42:53,840
Speaker 5: maybe not taking their jobs.

921
00:42:54,000 --> 00:42:54,120
Speaker 2: Oh.

922
00:42:54,160 --> 00:42:56,040
Speaker 5: Another part of the Goldman Sachs report, by the way,

923
00:42:56,200 --> 00:42:58,880
Speaker 5: is them repeatedly because remember these people, not particularly so,

924
00:42:59,640 --> 00:43:00,359
Speaker 5: they don't care.

925
00:43:00,880 --> 00:43:03,040
Speaker 2: They care about money. They're just like, yeah, and it

926
00:43:03,120 --> 00:43:07,160
Speaker 2: can't even replace any fucking jobs. They just like, it

927
00:43:07,200 --> 00:43:08,360
Speaker 2: doesn't replace jobs.

928
00:43:08,600 --> 00:43:11,319
Speaker 5: But it's a fine argument in the sense that if

929
00:43:11,360 --> 00:43:15,080
Speaker 5: this was actually the future I wanted to but yeah,

930
00:43:15,280 --> 00:43:17,319
Speaker 5: if it was capable of doing that, that would make

931
00:43:17,360 --> 00:43:18,239
Speaker 5: it worth all this shit.

932
00:43:18,680 --> 00:43:19,960
Speaker 2: Right, Well, it's good.

933
00:43:20,000 --> 00:43:22,120
Speaker 1: It would be good for the altar rich, and it

934
00:43:22,239 --> 00:43:24,560
Speaker 1: dystopia would for everyone else.

935
00:43:24,640 --> 00:43:24,879
Speaker 2: Yep.

936
00:43:25,080 --> 00:43:27,120
Speaker 5: But also they want you to believed that it's so

937
00:43:27,280 --> 00:43:30,879
Speaker 5: fucking insane. It's just when I I feel crazy when

938
00:43:30,880 --> 00:43:33,520
Speaker 5: I read this stuff, because you read this and then

939
00:43:33,520 --> 00:43:36,520
Speaker 5: you look at these companies like Google putting AI in search,

940
00:43:36,640 --> 00:43:38,359
Speaker 5: which nobody liked and.

941
00:43:38,320 --> 00:43:40,640
Speaker 2: Told people to eat rugs and put gluem pizza. Everyone

942
00:43:40,640 --> 00:43:44,399
Speaker 2: knows that bo Their stock went up. Their stock went

943
00:43:44,480 --> 00:43:47,719
Speaker 2: up when they did that. Yeah, and it's just we

944
00:43:47,760 --> 00:43:49,520
Speaker 2: live in a Looney Tunes world.

945
00:43:49,680 --> 00:43:52,120
Speaker 3: Yeah, where it's like, yeah, a few buzzwords and a

946
00:43:52,160 --> 00:43:54,520
Speaker 3: few investors of note get involved in.

947
00:43:54,560 --> 00:43:56,439
Speaker 2: It's like, yep, line goes up now and we don't

948
00:43:56,480 --> 00:43:57,160
Speaker 2: need what I think.

949
00:43:57,400 --> 00:44:00,520
Speaker 1: Yeah, yeah, did you say did you say vertigal vertical integration.

950
00:44:00,640 --> 00:44:02,560
Speaker 1: Here's thirty million dollars. That's all you had to do.

951
00:44:02,920 --> 00:44:04,719
Speaker 2: That's why I like soft Bank. Have you heard of

952
00:44:04,760 --> 00:44:05,920
Speaker 2: soft Bank? Yeah?

953
00:44:06,480 --> 00:44:10,640
Speaker 5: So soft Bank Japanese Japanese venture firm. They just give

954
00:44:10,760 --> 00:44:12,440
Speaker 5: shit tons of money to the Work. They gave like

955
00:44:12,600 --> 00:44:15,280
Speaker 5: billions to Adam from we Work.

956
00:44:15,600 --> 00:44:16,160
Speaker 2: Yeah.

957
00:44:16,200 --> 00:44:18,480
Speaker 5: And at one point Adam took a loan out on

958
00:44:18,520 --> 00:44:21,360
Speaker 5: his Wi Work stock like over I think it was

959
00:44:21,400 --> 00:44:24,560
Speaker 5: like over one hundred million dollars and then defaulted on

960
00:44:24,600 --> 00:44:26,960
Speaker 5: it because the only thing he'd put up as collateral

961
00:44:27,280 --> 00:44:29,200
Speaker 5: was his we Work stock, which was now worth like

962
00:44:29,520 --> 00:44:30,640
Speaker 5: twenty thousand dollars.

963
00:44:31,560 --> 00:44:32,520
Speaker 2: And soft Bank was like.

964
00:44:32,600 --> 00:44:36,359
Speaker 5: Well that'll happen to l Yeah. I love I love

965
00:44:36,400 --> 00:44:39,279
Speaker 5: Masaoshi Son. I think he's amazing. He goes up to

966
00:44:39,280 --> 00:44:41,160
Speaker 5: you and you're like, I need three billion dollars. He's like, no,

967
00:44:41,200 --> 00:44:42,000
Speaker 5: you need five.

968
00:44:41,800 --> 00:44:45,920
Speaker 2: Billions dollars and I got it right here. Oh yeah,

969
00:44:45,719 --> 00:44:47,120
Speaker 2: but I need to invest this.

970
00:44:47,360 --> 00:44:49,759
Speaker 1: Yeah. When I called hard Bank, baby, this is gonna

971
00:44:49,760 --> 00:44:50,120
Speaker 1: be tough.

972
00:44:50,280 --> 00:44:53,279
Speaker 5: And then Masayoshi Son, I know, gone on about this.

973
00:44:53,719 --> 00:44:56,120
Speaker 5: He said that he'd been put on earth to create

974
00:44:56,120 --> 00:45:01,440
Speaker 5: an intelligence. He fucking yeah, he he was put on

975
00:45:01,480 --> 00:45:04,640
Speaker 5: earth to create official intelligence, super intelligence that's ten thousand

976
00:45:04,719 --> 00:45:05,840
Speaker 5: times small than a human.

977
00:45:06,080 --> 00:45:08,959
Speaker 2: I am super serious about it. I love you good.

978
00:45:09,320 --> 00:45:11,160
Speaker 2: That's the thing. If you're going to be like this, be.

979
00:45:11,200 --> 00:45:14,560
Speaker 1: That, be crazy, go on, yeah, be the super villain.

980
00:45:14,600 --> 00:45:16,359
Speaker 2: We does caution to the wind.

981
00:45:16,400 --> 00:45:18,239
Speaker 3: All right, Well we're gonna come back and we're gonna

982
00:45:18,239 --> 00:45:20,560
Speaker 3: talk about another stock where the line just went up

983
00:45:20,680 --> 00:45:22,480
Speaker 3: and I need to know why because I thought it

984
00:45:22,560 --> 00:45:23,320
Speaker 3: wasn't good.

985
00:45:23,840 --> 00:45:25,839
Speaker 2: That's Tesla right after.

986
00:45:25,719 --> 00:45:41,080
Speaker 3: This and we're back and yes, ed another stock. I

987
00:45:41,080 --> 00:45:43,120
Speaker 3: felt like a few months ago on the show we

988
00:45:43,120 --> 00:45:46,600
Speaker 3: were talking about how the stock price for Tesla, the

989
00:45:46,640 --> 00:45:49,560
Speaker 3: performance has not been great. There was a flood of like,

990
00:45:49,600 --> 00:45:52,040
Speaker 3: well the sales are short, and then like Elon got

991
00:45:52,080 --> 00:45:55,920
Speaker 3: his pay package and then everyone's like, yes, he's back, baby,

992
00:45:56,400 --> 00:45:59,239
Speaker 3: And the last few weeks have seen a huge increase.

993
00:45:59,440 --> 00:46:02,080
Speaker 3: One headline said it like wiped out all losses. They're

994
00:46:02,120 --> 00:46:04,359
Speaker 3: in the green for the first time in twenty twenty four.

995
00:46:05,000 --> 00:46:07,240
Speaker 3: And this is because Elon Musk is a genius.

996
00:46:07,239 --> 00:46:12,759
Speaker 5: Correct, it's because he's Jack Welch two, a great man.

997
00:46:13,000 --> 00:46:17,040
Speaker 5: What he is basically just like the great guy and

998
00:46:17,040 --> 00:46:19,440
Speaker 5: not the guy that at the Alec Baldwin character from

999
00:46:19,480 --> 00:46:22,640
Speaker 5: thirty Rap thirty has effectively in heart. But I was

1000
00:46:22,760 --> 00:46:29,400
Speaker 5: voted most Yeah. But the thing is like their deliveries

1001
00:46:29,440 --> 00:46:32,680
Speaker 5: are still down. They beat tor Street estimates, but they

1002
00:46:32,680 --> 00:46:35,200
Speaker 5: were still down four percent four point eight percent year

1003
00:46:35,200 --> 00:46:36,600
Speaker 5: of year. But the stock is like two hundred and

1004
00:46:36,640 --> 00:46:40,800
Speaker 5: fifty bucks now it's a meme stock. And I don't

1005
00:46:40,840 --> 00:46:44,719
Speaker 5: fit and I don't I think it's impressive how bad

1006
00:46:44,760 --> 00:46:47,120
Speaker 5: it is at this point. It's so horrible.

1007
00:46:47,160 --> 00:46:49,360
Speaker 2: It's like watching a very bad person win again and

1008
00:46:49,400 --> 00:46:51,200
Speaker 2: again and again. Yeah and truly.

1009
00:46:52,160 --> 00:46:56,480
Speaker 5: But also even though they voted his stock package through,

1010
00:46:57,480 --> 00:46:59,960
Speaker 5: the Delaware courts, still made it clear that it was

1011
00:47:00,120 --> 00:47:03,279
Speaker 5: not like it's there's there, things will change. I just

1012
00:47:03,320 --> 00:47:06,440
Speaker 5: don't know when anymore. Tester is just so fucking bizarre.

1013
00:47:06,640 --> 00:47:09,200
Speaker 5: I bet Google and Meta are so jealous of him

1014
00:47:09,480 --> 00:47:12,000
Speaker 5: because it's just disconnected.

1015
00:47:11,640 --> 00:47:15,440
Speaker 3: From one percent. I mean speaking of like like you know,

1016
00:47:15,560 --> 00:47:18,160
Speaker 3: promising shit and never delivering on it.

1017
00:47:18,840 --> 00:47:20,360
Speaker 2: Like what's going on.

1018
00:47:20,440 --> 00:47:23,160
Speaker 3: There's like this, there's a new sort of self driving

1019
00:47:23,280 --> 00:47:25,920
Speaker 3: update and a lot of people are like, yeah, baby,

1020
00:47:25,960 --> 00:47:26,640
Speaker 3: it's gonna.

1021
00:47:26,400 --> 00:47:28,720
Speaker 2: Happen, but this has never fucking happened.

1022
00:47:28,719 --> 00:47:32,359
Speaker 3: Still, and the fleet of robot taxis that you could

1023
00:47:32,440 --> 00:47:35,440
Speaker 3: lease passively in your sleep while you make passive income

1024
00:47:35,520 --> 00:47:38,680
Speaker 3: while you're catching z's that's nowhere to be found.

1025
00:47:39,000 --> 00:47:42,359
Speaker 2: And I'm just always it just blows my mind how I.

1026
00:47:42,280 --> 00:47:45,960
Speaker 3: Mean, it's definitely definitely cult like because they're the detractor

1027
00:47:46,040 --> 00:47:48,560
Speaker 3: aren't really the detractors who are vocal kind of get

1028
00:47:48,560 --> 00:47:50,360
Speaker 3: cast aside. And there's so many people who are like,

1029
00:47:50,600 --> 00:47:53,279
Speaker 3: it's okay, man, that this thing fucking sucks, Like the

1030
00:47:53,320 --> 00:47:58,000
Speaker 3: cyber truck fucking sucks. Objectively, it fucking sucks like it

1031
00:47:58,040 --> 00:48:00,120
Speaker 3: got I took it to a car wash. It fuck

1032
00:48:00,440 --> 00:48:03,759
Speaker 3: it got fucked up. My control panel fell off, the

1033
00:48:03,800 --> 00:48:07,080
Speaker 3: fucking side panels fall off, the charging issues. I can't

1034
00:48:07,120 --> 00:48:10,440
Speaker 3: get the charger out. It broke my finger and it

1035
00:48:10,840 --> 00:48:12,000
Speaker 3: accelerates when it wants to.

1036
00:48:12,200 --> 00:48:15,080
Speaker 2: Yeah, exactly, I drove into a house on accident.

1037
00:48:16,080 --> 00:48:20,200
Speaker 5: Yeah, it's just it's very weird and there is no

1038
00:48:20,360 --> 00:48:24,360
Speaker 5: stock out there like it. But also it's up today.

1039
00:48:24,760 --> 00:48:29,600
Speaker 5: I maintain this ship will burn. They are Techy's out

1040
00:48:29,640 --> 00:48:31,920
Speaker 5: of ideas, and so is Elon Musk. The cyber truck

1041
00:48:31,960 --> 00:48:34,560
Speaker 5: is ridiculous. It looks like shit, it's small. It's a

1042
00:48:34,680 --> 00:48:37,600
Speaker 5: terrible truck, terrible car, it's terrible deal.

1043
00:48:37,880 --> 00:48:40,440
Speaker 3: Yeah, it doesn't even pay off on its promise of

1044
00:48:40,480 --> 00:48:43,239
Speaker 3: being a truck. Like there's so many hilarious things I say.

1045
00:48:43,320 --> 00:48:45,640
Speaker 3: I read it where like someone's like, you couldn't even

1046
00:48:45,680 --> 00:48:47,000
Speaker 3: put a bicycle flat.

1047
00:48:47,200 --> 00:48:48,920
Speaker 2: Yeah, you couldn't put a blanket it. You could put

1048
00:48:48,920 --> 00:48:51,040
Speaker 2: a Christmas tree in? What the is it?

1049
00:48:51,120 --> 00:48:53,239
Speaker 5: My favorite one is this guy who was like, yeah,

1050
00:48:53,239 --> 00:48:55,000
Speaker 5: it took my truck to home depot and he got

1051
00:48:55,040 --> 00:48:56,920
Speaker 5: like four bags of mulch.

1052
00:48:57,360 --> 00:49:00,320
Speaker 2: Oh I saw that too, Yeah, just like oil.

1053
00:49:00,480 --> 00:49:02,319
Speaker 5: And someone was starting with I did this in my

1054
00:49:02,360 --> 00:49:03,440
Speaker 5: Toyota Corolla.

1055
00:49:03,920 --> 00:49:04,640
Speaker 2: Yeah exactly.

1056
00:49:05,560 --> 00:49:08,439
Speaker 1: As a guy who likes cars, I could say we're

1057
00:49:08,600 --> 00:49:10,960
Speaker 1: very dumb and it is all about like me, you

1058
00:49:11,040 --> 00:49:13,680
Speaker 1: want to be seen in room room machine, Like I

1059
00:49:13,840 --> 00:49:16,160
Speaker 1: just want something that looks like a Ferrari or something

1060
00:49:16,200 --> 00:49:19,680
Speaker 1: that looks like yeah exactly, so yeah for sure, but

1061
00:49:21,800 --> 00:49:24,160
Speaker 1: yeah yeah, but I'm just saying if it's if you

1062
00:49:24,400 --> 00:49:27,360
Speaker 1: like the aesthetic of the wow factor of the truck,

1063
00:49:27,480 --> 00:49:30,040
Speaker 1: which you you know, being sure a nine year old,

1064
00:49:30,480 --> 00:49:31,800
Speaker 1: it's it's that's.

1065
00:49:31,560 --> 00:49:33,600
Speaker 5: All you need, you know what, Ima Simpson?

1066
00:49:34,040 --> 00:49:37,880
Speaker 1: Yeah for sure, Yeah right, yeah, if your Homer Simpson,

1067
00:49:37,920 --> 00:49:41,200
Speaker 1: who thinks whatever hackers from the late nineties thought was

1068
00:49:41,239 --> 00:49:42,120
Speaker 1: cool is cool.

1069
00:49:42,400 --> 00:49:44,640
Speaker 3: Yeah, well that's what like, that's what's wild is there.

1070
00:49:44,680 --> 00:49:48,000
Speaker 3: There's just such a pattern of bullshit and yet like

1071
00:49:48,000 --> 00:49:49,880
Speaker 3: like to your point at it's like the guy keeps

1072
00:49:49,960 --> 00:49:54,680
Speaker 3: fucking how like that not a single thing he's promising

1073
00:49:54,840 --> 00:49:57,080
Speaker 3: is happening, and people are still willing to like make

1074
00:49:57,120 --> 00:50:00,279
Speaker 3: all these excuses for why this cybertruck isn't actual in

1075
00:50:00,440 --> 00:50:03,839
Speaker 3: an L on four wheels, and they're just like, don't worry, man,

1076
00:50:03,880 --> 00:50:05,480
Speaker 3: this is what happens. And now there's like some new

1077
00:50:05,520 --> 00:50:07,719
Speaker 3: thing about they're not calling it a recall, but they're

1078
00:50:07,719 --> 00:50:09,719
Speaker 3: saying they're going to change their motors. And some of

1079
00:50:09,719 --> 00:50:12,600
Speaker 3: the early cyber trucks, and I'm like, just suck is this?

1080
00:50:12,719 --> 00:50:16,359
Speaker 5: It is all spinning plates. And Elon Musk is very

1081
00:50:16,360 --> 00:50:19,799
Speaker 5: good at that. He genuinely has worked out the limits

1082
00:50:20,680 --> 00:50:23,680
Speaker 5: to which you can push capitalism and push the markets

1083
00:50:23,680 --> 00:50:26,399
Speaker 5: and lie to the markets. Right, So he lies to them,

1084
00:50:26,400 --> 00:50:27,960
Speaker 5: and he lies to them, and he keeps lying, and

1085
00:50:28,000 --> 00:50:29,160
Speaker 5: they keep eating it up.

1086
00:50:29,680 --> 00:50:34,120
Speaker 2: At some point they're going to run out of electricity.

1087
00:50:34,160 --> 00:50:35,680
Speaker 2: He was about to say gas, right.

1088
00:50:36,360 --> 00:50:42,560
Speaker 5: Because there aren't any new things with Tesla. Deliveries are

1089
00:50:42,600 --> 00:50:47,000
Speaker 5: slowing down. Yeah, the actual fundamentals of this stock are

1090
00:50:47,080 --> 00:50:50,560
Speaker 5: not brilliant. On top of that, Elon Musk may or

1091
00:50:50,600 --> 00:50:54,600
Speaker 5: may not do a bunch of fucking ketamine right. Also,

1092
00:50:54,800 --> 00:50:57,960
Speaker 5: a lot of his companies are very unprofitable. Tesla's actually profitable.

1093
00:50:58,440 --> 00:51:04,080
Speaker 5: It's just very weird because this crap works until it doesn't.

1094
00:51:04,160 --> 00:51:06,920
Speaker 5: He's just very good at keeping it going. It's two

1095
00:51:07,040 --> 00:51:10,120
Speaker 5: hundred and fifty bucks now, it was like something else,

1096
00:51:10,320 --> 00:51:12,760
Speaker 5: Like it was like one hundred and et or something

1097
00:51:12,840 --> 00:51:17,520
Speaker 5: like a few weeks ago. It's just at some point

1098
00:51:17,680 --> 00:51:20,120
Speaker 5: the worm turns. I'm just no idea where it's going

1099
00:51:20,200 --> 00:51:23,240
Speaker 5: to fucking happen anymore. I thought it would be by now,

1100
00:51:23,840 --> 00:51:27,839
Speaker 5: it would partly because it'd be entertaining, but also.

1101
00:51:27,560 --> 00:51:31,440
Speaker 2: He's a shit head. Yeah, what fucking asshole. He's so

1102
00:51:31,719 --> 00:51:35,920
Speaker 2: annoying because all of this money and he's like, yes, sir,

1103
00:51:35,960 --> 00:51:38,360
Speaker 2: it's very epic and base to post the fourteen words

1104
00:51:38,800 --> 00:51:41,919
Speaker 2: and oh jesus yeah fourteen okay, so he retweets them.

1105
00:51:42,040 --> 00:51:44,239
Speaker 5: Yeah yeah, and he's like got Twitter, which is just

1106
00:51:44,320 --> 00:51:48,239
Speaker 5: burning money, just constantly burning money. SpaceX is funny though,

1107
00:51:48,239 --> 00:51:52,640
Speaker 5: because people say, oh, yeah, they're profitable now they're playing

1108
00:51:52,680 --> 00:51:55,279
Speaker 5: fucking accounting games that they're not really Like, there's a

1109
00:51:55,280 --> 00:51:57,680
Speaker 5: Wall Street Journal piece about this. So Wall Street Journal

1110
00:51:57,680 --> 00:52:00,279
Speaker 5: piece about him. Just fucking random woman at test slur

1111
00:52:00,360 --> 00:52:01,600
Speaker 5: and spicex as well.

1112
00:52:02,000 --> 00:52:03,400
Speaker 2: This man's a goblin.

1113
00:52:04,080 --> 00:52:08,279
Speaker 3: It's like everything is so unlikable, it's so upsetting. And

1114
00:52:08,320 --> 00:52:10,839
Speaker 3: then I saw did you there was this? So they

1115
00:52:10,880 --> 00:52:13,520
Speaker 3: had one of the like head lead engineers like a

1116
00:52:13,560 --> 00:52:15,279
Speaker 3: while ago when they were trying to create all the

1117
00:52:15,360 --> 00:52:17,560
Speaker 3: hype for the cyber truck. He went on like Jay

1118
00:52:17,640 --> 00:52:22,000
Speaker 3: Leno's garage like YouTube channel, and there's this clip where

1119
00:52:22,040 --> 00:52:25,040
Speaker 3: he's talking about the side mirrors and he's like, we

1120
00:52:25,080 --> 00:52:27,160
Speaker 3: didn't even want side mirrors on this thing. I'm just

1121
00:52:27,200 --> 00:52:29,799
Speaker 3: gonna play this because it's like to me, I'm like, wait,

1122
00:52:29,840 --> 00:52:34,000
Speaker 3: hold on, how exactly does Tesla do things? And so

1123
00:52:34,120 --> 00:52:36,680
Speaker 3: Jay is like the question he's asking this engineer is like,

1124
00:52:36,719 --> 00:52:39,120
Speaker 3: were there anythings that like you wanted that just got

1125
00:52:39,160 --> 00:52:40,399
Speaker 3: like completely shot down?

1126
00:52:40,520 --> 00:52:43,160
Speaker 2: Like what were some other like bold design choices you made?

1127
00:52:43,160 --> 00:52:45,040
Speaker 2: And this is him talking about the side mirrors, the

1128
00:52:45,080 --> 00:52:45,960
Speaker 2: side view mirrors.

1129
00:52:46,400 --> 00:52:50,120
Speaker 6: Yeah, we I mean, we didn't want mirrors, right, and

1130
00:52:50,239 --> 00:52:52,560
Speaker 6: so in the beginning, we weren't even designing mirrors.

1131
00:52:53,160 --> 00:52:55,239
Speaker 3: I like how Jay Leno goes, huh and he goes,

1132
00:52:55,280 --> 00:52:56,080
Speaker 3: you didn't even want mirrors.

1133
00:52:56,080 --> 00:53:00,799
Speaker 2: He goes, oh, that part is so I played again.

1134
00:53:00,880 --> 00:53:04,120
Speaker 6: We didn't want mirrors, right, and so in the beginning

1135
00:53:04,160 --> 00:53:07,800
Speaker 6: we weren't even designing mirrors. And then just we couldn't

1136
00:53:07,840 --> 00:53:09,400
Speaker 6: get the regulations changed.

1137
00:53:09,960 --> 00:53:10,240
Speaker 1: Camera.

1138
00:53:10,520 --> 00:53:12,080
Speaker 2: Yeah, okay, did you hear that?

1139
00:53:12,120 --> 00:53:14,200
Speaker 3: So he goes, and you know, we couldn't get the

1140
00:53:14,239 --> 00:53:17,920
Speaker 3: regulations changed, so you know, we had to put him in.

1141
00:53:18,120 --> 00:53:20,799
Speaker 3: So I'm like, as half of their the way they

1142
00:53:20,840 --> 00:53:23,080
Speaker 3: ideated sort of like, well, can we get the laws

1143
00:53:23,160 --> 00:53:26,239
Speaker 3: changed so we can like get this hair brained ship

1144
00:53:26,360 --> 00:53:27,000
Speaker 3: onto the car?

1145
00:53:27,520 --> 00:53:31,360
Speaker 5: Yeah, it's like one break the law.

1146
00:53:31,960 --> 00:53:32,359
Speaker 2: How big?

1147
00:53:33,080 --> 00:53:36,960
Speaker 5: But what if we just changed it and then that never.

1148
00:53:36,840 --> 00:53:40,160
Speaker 1: Works right and paid enough money to change the legislation,

1149
00:53:40,239 --> 00:53:42,160
Speaker 1: which is what they're assuming they're gonna be capable of doing,

1150
00:53:42,200 --> 00:53:44,120
Speaker 1: which they probably you know, it's just surprising that they

1151
00:53:44,120 --> 00:53:45,879
Speaker 1: weren't up to because I was saying, like all car

1152
00:53:45,960 --> 00:53:48,400
Speaker 1: designers forever, they've wanted to get rid of side mirrors,

1153
00:53:48,480 --> 00:53:51,719
Speaker 1: Like all aesthetically all car car designers feel that they

1154
00:53:51,880 --> 00:53:54,279
Speaker 1: like weird ears coming up of yeah yeah, yeah, so

1155
00:53:54,320 --> 00:53:56,239
Speaker 1: like these but but they all know like, oh and

1156
00:53:56,280 --> 00:53:59,320
Speaker 1: also we have to have mirrors. But the humors of

1157
00:53:59,480 --> 00:54:02,600
Speaker 1: these dudes is the same kind of hubris that is like, oh,

1158
00:54:02,600 --> 00:54:05,319
Speaker 1: we're actually not gonna die. We're we decided we're gonna

1159
00:54:05,360 --> 00:54:08,719
Speaker 1: upload our consciousness and totally totally defeat mortality.

1160
00:54:08,760 --> 00:54:09,239
Speaker 2: You know what I mean.

1161
00:54:09,239 --> 00:54:13,359
Speaker 1: This is the level of like presumptive hubris that we're

1162
00:54:13,360 --> 00:54:13,960
Speaker 1: dealing with.

1163
00:54:14,040 --> 00:54:15,560
Speaker 2: You know, they just don't.

1164
00:54:16,360 --> 00:54:22,320
Speaker 5: I genuinely think these people just take cabs everywhere.

1165
00:54:20,000 --> 00:54:23,800
Speaker 2: That tracks at a level of wealth. Yeah, people don't

1166
00:54:23,840 --> 00:54:25,680
Speaker 2: just don't drive. It's the theme.

1167
00:54:25,480 --> 00:54:28,080
Speaker 5: Across everything we're talking about, summed up A shy of

1168
00:54:28,120 --> 00:54:31,759
Speaker 5: Google doesn't use Google such in a Della of Microsoft.

1169
00:54:31,840 --> 00:54:33,799
Speaker 2: Oh fuck my fing, I put my thumb up and

1170
00:54:33,840 --> 00:54:36,239
Speaker 2: now the zoom. Now we'll keeping this in. I just

1171
00:54:36,280 --> 00:54:41,320
Speaker 2: want rows your fucking video screen. I have a video

1172
00:54:41,360 --> 00:54:42,000
Speaker 2: stream right now.

1173
00:54:42,000 --> 00:54:44,319
Speaker 5: This is an important AI related thing that proves my

1174
00:54:44,400 --> 00:54:47,359
Speaker 5: larger point. So if you raise your thumb in front

1175
00:54:47,400 --> 00:54:49,520
Speaker 5: of the camera now on zoom, it does a weird

1176
00:54:49,560 --> 00:54:52,120
Speaker 5: pop up bubble of a thumbs up, and then it

1177
00:54:52,160 --> 00:54:56,600
Speaker 5: freezes your video through the power of AI. And that's

1178
00:54:56,640 --> 00:54:59,959
Speaker 5: exactly the ship that someone would like. Eric youan see

1179
00:55:00,200 --> 00:55:02,800
Speaker 5: of Zoom, or any number of people at Microsoft to

1180
00:55:02,840 --> 00:55:05,520
Speaker 5: Google who don't use their products to think that sounds great,

1181
00:55:05,640 --> 00:55:09,240
Speaker 5: that's awesome. What if on top of showing my thumb,

1182
00:55:09,440 --> 00:55:13,360
Speaker 5: thus giving the thumbs up, it also showed another thumb.

1183
00:55:14,040 --> 00:55:17,799
Speaker 5: Yeah but Dan, But this is the problem across all

1184
00:55:17,840 --> 00:55:22,920
Speaker 5: of this. Elon Musk doesn't drive anywhere Google Sunpshit doesn't

1185
00:55:23,120 --> 00:55:26,560
Speaker 5: google anything such a Nendella doesn't use fucking Microsoft word.

1186
00:55:26,560 --> 00:55:30,279
Speaker 5: He probably sends outlook like emails. But that's about it, right.

1187
00:55:30,360 --> 00:55:33,280
Speaker 5: None of these people interact with the economy with labor.

1188
00:55:33,320 --> 00:55:35,440
Speaker 5: They don't do work, they don't do anything, so like,

1189
00:55:35,560 --> 00:55:38,560
Speaker 5: of course, yeah, I done. If fucking mirrors on a car.

1190
00:55:38,600 --> 00:55:40,759
Speaker 5: You asked, white, right, you know I need to see

1191
00:55:40,760 --> 00:55:42,399
Speaker 5: behind you. That's what my drivers for.

1192
00:55:42,680 --> 00:55:46,040
Speaker 3: Right exactly. Yeah, this thing can go off road, cut

1193
00:55:46,080 --> 00:55:48,359
Speaker 3: to it cannot really go off road.

1194
00:55:48,760 --> 00:55:49,400
Speaker 5: Yeah, he said it.

1195
00:55:49,400 --> 00:55:50,440
Speaker 2: Could double as a boat.

1196
00:55:51,840 --> 00:55:56,200
Speaker 5: And then like someone's test cyber truck got totaled because

1197
00:55:56,239 --> 00:55:58,160
Speaker 5: he drove it through a very small puddle of water.

1198
00:55:58,320 --> 00:56:00,440
Speaker 2: Yeah, it didn't even actually reach like the door I

1199
00:56:00,440 --> 00:56:02,480
Speaker 2: saw like where they showed where the water reachs. Like

1200
00:56:02,520 --> 00:56:04,840
Speaker 2: it didn't even really even get in the car, not

1201
00:56:04,880 --> 00:56:07,160
Speaker 2: even close. And like the insurers like, yeah, dude, we're

1202
00:56:07,200 --> 00:56:10,799
Speaker 2: not fucking we're not touching this thing. Sorry, it's so cool. Yeah,

1203
00:56:10,840 --> 00:56:12,000
Speaker 2: I love all of it.

1204
00:56:12,120 --> 00:56:13,600
Speaker 3: Well, And now, like you see too, a lot of

1205
00:56:13,640 --> 00:56:15,799
Speaker 3: cyber truck owners, there's like a bunch of stuff too

1206
00:56:15,800 --> 00:56:17,600
Speaker 3: where they're like, this is how you remove your side

1207
00:56:17,680 --> 00:56:20,440
Speaker 3: view mirrors from your fucking cyber truck. And I'm like,

1208
00:56:20,520 --> 00:56:24,040
Speaker 3: that's a great idea. Your seven thousand pound missile car

1209
00:56:24,480 --> 00:56:27,760
Speaker 3: now has no sure because it just looks cooler.

1210
00:56:27,800 --> 00:56:28,000
Speaker 6: Man.

1211
00:56:28,080 --> 00:56:30,040
Speaker 3: When I mount my fifty cow machine gun in the

1212
00:56:30,080 --> 00:56:32,239
Speaker 3: back with my big American flag and you see a

1213
00:56:32,280 --> 00:56:34,520
Speaker 3: lot of people doing this like it it's just interesting too.

1214
00:56:34,560 --> 00:56:34,680
Speaker 2: Like it.

1215
00:56:34,960 --> 00:56:36,959
Speaker 3: It also has an appeal to people who are also

1216
00:56:37,040 --> 00:56:39,160
Speaker 3: not quite living in the same reality as us, Like

1217
00:56:39,200 --> 00:56:41,480
Speaker 3: you see so many people who are like putting like

1218
00:56:41,520 --> 00:56:43,759
Speaker 3: they're wrapping it to look like a World War two

1219
00:56:43,880 --> 00:56:47,440
Speaker 3: fucking fighter plane or someone mounting a machine gun and

1220
00:56:47,480 --> 00:56:50,120
Speaker 3: having like a gigantic American flag because it looks like

1221
00:56:50,160 --> 00:56:52,080
Speaker 3: a meme they saw and they're like, and that's what

1222
00:56:52,120 --> 00:56:52,560
Speaker 3: it does.

1223
00:56:52,640 --> 00:56:56,200
Speaker 2: Man, it's a meme. It's a terrible car and I

1224
00:56:56,280 --> 00:56:59,319
Speaker 2: hurt my thumbs trying to load in some kibble. So

1225
00:56:59,520 --> 00:57:00,120
Speaker 2: thanks you on.

1226
00:57:00,920 --> 00:57:03,399
Speaker 5: Yeah, it's so good. And I love that this guy

1227
00:57:03,520 --> 00:57:07,200
Speaker 5: is a billionaire. That's good as well. Yeah yeah, yeah,

1228
00:57:07,280 --> 00:57:09,280
Speaker 5: there are times you get a little bit black piled

1229
00:57:09,320 --> 00:57:11,240
Speaker 5: when you think about this stuff too much.

1230
00:57:11,239 --> 00:57:15,680
Speaker 3: Right, Yeah, I mean it's I know, it's hard, especially again,

1231
00:57:15,719 --> 00:57:18,520
Speaker 3: like you said, you're watching someone who's an evil doer

1232
00:57:18,680 --> 00:57:21,919
Speaker 3: just continue to compound financial wins, and you're like, I don't,

1233
00:57:22,800 --> 00:57:24,920
Speaker 3: but again, that's how the game is set up, so

1234
00:57:25,080 --> 00:57:26,880
Speaker 3: if you know at a certain point you can.

1235
00:57:26,920 --> 00:57:30,560
Speaker 1: Yeah, yeah, it's it's inherently competitive, so those that cheat win.

1236
00:57:30,680 --> 00:57:32,880
Speaker 1: Here's my thing is, I really do feel you guys

1237
00:57:32,920 --> 00:57:35,040
Speaker 1: probably won't agree with this, but I feel like being

1238
00:57:35,080 --> 00:57:38,480
Speaker 1: that rich is a wild burden and terrible for your

1239
00:57:38,600 --> 00:57:41,080
Speaker 1: for your spiritual life. That it's because think about this way,

1240
00:57:41,120 --> 00:57:43,640
Speaker 1: like if I don't if I have very little money,

1241
00:57:43,680 --> 00:57:46,120
Speaker 1: what is required to make me happy. All it takes

1242
00:57:46,200 --> 00:57:47,200
Speaker 1: is a shower orange.

1243
00:57:47,240 --> 00:57:47,560
Speaker 2: That's it.

1244
00:57:47,600 --> 00:57:50,120
Speaker 1: I just need one peach to take into the shower

1245
00:57:50,120 --> 00:57:52,520
Speaker 1: with me. But if I'm wildly rich and I'm used

1246
00:57:52,560 --> 00:57:54,680
Speaker 1: to spending millions of dollars, the amount of money I

1247
00:57:54,760 --> 00:57:58,720
Speaker 1: have to spend to get more new exciting sensory information

1248
00:57:59,040 --> 00:58:02,480
Speaker 1: is cocaine, ketamine and a couple of sex workers who

1249
00:58:02,480 --> 00:58:04,480
Speaker 1: have to do stuff that is not even sex anymore,

1250
00:58:04,560 --> 00:58:10,040
Speaker 1: you know, Like right, you know so, and then you

1251
00:58:10,760 --> 00:58:12,880
Speaker 1: watch what happens with these you watch what happens with

1252
00:58:12,920 --> 00:58:17,000
Speaker 1: these people too, which is the profound lack of maturity,

1253
00:58:17,080 --> 00:58:19,919
Speaker 1: the internet behavior of a thirteen year old who's like, yeah,

1254
00:58:19,920 --> 00:58:22,560
Speaker 1: what if I tweeted the word queef? Can you imagine?

1255
00:58:22,720 --> 00:58:22,880
Speaker 2: You know?

1256
00:58:23,200 --> 00:58:27,080
Speaker 1: Twenty Yeah, you're pretty funny, It's absurd, you know. So,

1257
00:58:27,200 --> 00:58:29,880
Speaker 1: I'm so grateful that I don't have that amount of money.

1258
00:58:32,840 --> 00:58:33,760
Speaker 2: We're real, we're real.

1259
00:58:34,240 --> 00:58:36,280
Speaker 5: Hand it over to me and I'll tell you how

1260
00:58:36,320 --> 00:58:40,919
Speaker 5: it goes. But also I agree, I actually think when

1261
00:58:40,960 --> 00:58:43,280
Speaker 5: you because the thing about someone like Elon mosk Mark

1262
00:58:43,320 --> 00:58:46,360
Speaker 5: talk about sand got paid two hundred and twenty million

1263
00:58:46,400 --> 00:58:49,560
Speaker 5: dollars to fuck up Google in two thousand and sorry,

1264
00:58:49,560 --> 00:58:54,200
Speaker 5: twenty twenty two. These guys they don't have bills, right,

1265
00:58:54,280 --> 00:59:01,480
Speaker 5: they don't have wait in the morning worrying about anything. Yeah,

1266
00:59:01,520 --> 00:59:05,680
Speaker 5: but they could get fired that day, get nothing in return,

1267
00:59:06,480 --> 00:59:09,960
Speaker 5: and have probably fifty to one hundred million dollars of

1268
00:59:10,000 --> 00:59:13,320
Speaker 5: liquid capital and a bunch of assets, and probably walk

1269
00:59:13,360 --> 00:59:18,360
Speaker 5: into another job the same day. They don't have trouble

1270
00:59:18,600 --> 00:59:21,720
Speaker 5: getting introduced to people. They don't need to worry about

1271
00:59:21,760 --> 00:59:25,040
Speaker 5: career progression. They don't need to worry about anything. All

1272
00:59:25,080 --> 00:59:28,600
Speaker 5: of the things that they person worries about pretty much

1273
00:59:28,600 --> 00:59:32,440
Speaker 5: any income level are just concepts to them, and problems

1274
00:59:32,480 --> 00:59:35,560
Speaker 5: that you have are things that they can mitigate in

1275
00:59:35,640 --> 00:59:38,520
Speaker 5: pretty much every way. One musk could probably look better

1276
00:59:38,520 --> 00:59:40,040
Speaker 5: than he does. He just chooses not to, which is

1277
00:59:40,120 --> 00:59:43,480
Speaker 5: very funny. But it's I think when you think of

1278
00:59:43,480 --> 00:59:45,360
Speaker 5: it like that, like it does sound like hell, But

1279
00:59:45,400 --> 00:59:50,960
Speaker 5: at the same time, give me the money, give it

1280
00:59:51,000 --> 00:59:51,200
Speaker 5: to me.

1281
00:59:51,480 --> 00:59:53,440
Speaker 2: I will be smart enough. I'm smart enough to know

1282
00:59:53,440 --> 00:59:53,800
Speaker 2: what I don't.

1283
00:59:53,920 --> 00:59:56,240
Speaker 1: I'll have for that, Ed, I'll support you. Get in

1284
00:59:56,280 --> 00:59:56,800
Speaker 1: couple bill.

1285
00:59:57,160 --> 01:00:01,280
Speaker 5: But also on top of that, only CEOs, and this

1286
01:00:01,360 --> 01:00:03,600
Speaker 5: is such a cheesy thing to say, force them to therapy.

1287
01:00:04,200 --> 01:00:06,080
Speaker 2: You can't be the CEO of one of these companies

1288
01:00:06,080 --> 01:00:08,080
Speaker 2: without like three hours of therapy a week, hour and

1289
01:00:08,120 --> 01:00:10,479
Speaker 2: a half beginning or week or you know, just cap

1290
01:00:10,520 --> 01:00:13,560
Speaker 2: the fucking the wages that you can get a CEO

1291
01:00:13,720 --> 01:00:14,919
Speaker 2: and then you know, leave it there.

1292
01:00:14,960 --> 01:00:18,520
Speaker 3: But Ed, I gotta thank you for stopping by and uh,

1293
01:00:19,040 --> 01:00:21,760
Speaker 3: you know, just making me feel even better about my

1294
01:00:22,880 --> 01:00:27,080
Speaker 3: Heritage series or Foundation series cyber truck that's going to

1295
01:00:27,120 --> 01:00:28,240
Speaker 3: be delivered later today.

1296
01:00:28,400 --> 01:00:30,360
Speaker 1: I've seen that. That's beauty, all those eagles on the

1297
01:00:30,400 --> 01:00:31,120
Speaker 1: Really it's.

1298
01:00:30,960 --> 01:00:31,720
Speaker 2: A beaute dude.

1299
01:00:31,960 --> 01:00:34,120
Speaker 1: Gotta say it's a mute.

1300
01:00:34,200 --> 01:00:35,560
Speaker 2: Got conan right there.

1301
01:00:35,600 --> 01:00:37,400
Speaker 5: I'm a solo woman for the rest of us.

1302
01:00:37,400 --> 01:00:40,400
Speaker 2: Man. Yeah, oh yeah, dude, I will. I will.

1303
01:00:41,880 --> 01:00:43,800
Speaker 3: Thank you so much for joining us on the daily side,

1304
01:00:43,840 --> 01:00:45,640
Speaker 3: gust Ed, where do people find you?

1305
01:00:45,680 --> 01:00:48,000
Speaker 2: Follow you, hear you, read you all of that good stuff.

1306
01:00:48,560 --> 01:00:51,960
Speaker 5: Where's your edge dot at Better Offline dot com you

1307
01:00:51,960 --> 01:00:52,360
Speaker 5: can find me.

1308
01:00:52,360 --> 01:00:53,680
Speaker 2: Where's your ed ed at?

1309
01:00:53,680 --> 01:00:57,800
Speaker 5: Which my newsletter and my podcast Better Offline. Please go

1310
01:00:57,880 --> 01:01:01,600
Speaker 5: to that link, download every episode, listen to every episode.

1311
01:01:01,680 --> 01:01:05,280
Speaker 5: Force the people you know with a knife to.

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01:01:05,360 --> 01:01:11,040
Speaker 3: Listen to it every episode, like a common Gallagher. Yeah exactly, Yeah,

1313
01:01:11,200 --> 01:01:14,760
Speaker 3: forced them at knife point. Is there a work of

1314
01:01:14,840 --> 01:01:18,360
Speaker 3: social media or otherwise that you have been joy enjoying?

1315
01:01:18,920 --> 01:01:21,080
Speaker 5: So there is a tweet which I will get you

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01:01:21,440 --> 01:01:25,720
Speaker 5: the link of after the thing where someone tweeted and

1317
01:01:25,920 --> 01:01:28,800
Speaker 5: I'm paraphrasing here, but it was like I saw your

1318
01:01:28,840 --> 01:01:32,000
Speaker 5: man crashing his flying machine in the town square. Your

1319
01:01:32,000 --> 01:01:35,640
Speaker 5: man was saying confound it and drat or something like that.

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01:01:35,720 --> 01:01:41,200
Speaker 2: It's just it's a wonderful tweet. Yeah, I saw that

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01:01:41,240 --> 01:01:41,640
Speaker 2: one too.

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01:01:42,040 --> 01:01:45,920
Speaker 5: Who is it also one another thing I've been laughing at, which.

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01:01:45,720 --> 01:01:47,960
Speaker 2: Is I underscore Latino.

1324
01:01:48,880 --> 01:01:53,720
Speaker 5: So sank Yagira, who has had a very strange turn,

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01:01:54,280 --> 01:01:57,440
Speaker 5: posted going to debate the omniliberal and wolfshbreed and on

1326
01:01:57,520 --> 01:01:59,800
Speaker 5: Biden staying and or dropping out. Brianna wo is on

1327
01:01:59,840 --> 01:02:02,200
Speaker 5: my side for dropping out. I have never heard a

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01:02:02,200 --> 01:02:07,400
Speaker 5: conversation I wanted to hear less. Yeah, Jesus, like it's

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01:02:07,440 --> 01:02:10,360
Speaker 5: between that and ten minutes of people punching dogs and.

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01:02:11,280 --> 01:02:12,800
Speaker 2: Yeah, oh it's toughy.

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01:02:13,360 --> 01:02:16,880
Speaker 3: Yeah, the only Destiny I'm interested in was a Microsoft product.

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01:02:18,240 --> 01:02:20,960
Speaker 2: Destiny I care about was Destiny too, But then I

1333
01:02:21,000 --> 01:02:26,080
Speaker 2: guess that was Bungee technically, right, I'm by Sony PlayStation now.

1334
01:02:26,520 --> 01:02:29,680
Speaker 2: Ah see How the Mighty Fall, How the Mighty Fall?

1335
01:02:30,280 --> 01:02:33,120
Speaker 2: Mort Burke, thank you so much for joining me. Where

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01:02:33,160 --> 01:02:35,680
Speaker 2: do the people find you? Follow you? And what's a

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01:02:35,720 --> 01:02:37,560
Speaker 2: tweet or something that you've been liking?

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01:02:37,920 --> 01:02:38,160
Speaker 6: Yeah?

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01:02:38,280 --> 01:02:42,240
Speaker 1: Yeah, just at mort at mort Burke on all your socials,

1340
01:02:42,280 --> 01:02:44,880
Speaker 1: your Instagrams, your tiktoks. I got a couple of stand

1341
01:02:44,920 --> 01:02:48,280
Speaker 1: up shows coming up on Wednesday at Barba Beanie in

1342
01:02:48,520 --> 01:02:51,240
Speaker 1: on the east side of La Beth Stelling's closing, which

1343
01:02:51,280 --> 01:02:53,600
Speaker 1: is gonna be awesome. Yeah, dude, it's six.

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01:02:53,640 --> 01:02:54,400
Speaker 2: She's the best.

1345
01:02:54,440 --> 01:02:58,400
Speaker 1: And then I'm doing Flappers in Burbank Friday at ten

1346
01:02:58,480 --> 01:03:01,880
Speaker 1: and then Saturday at nine. That's where your Boy's gonna be.

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01:03:02,520 --> 01:03:04,959
Speaker 1: Uh So I'm excited about those shows. Come on out,

1348
01:03:05,400 --> 01:03:07,040
Speaker 1: do tons of laughing, et cetera.

1349
01:03:07,280 --> 01:03:07,520
Speaker 2: Through.

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01:03:07,920 --> 01:03:12,160
Speaker 1: Yeah, dude, come on through and.

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01:03:11,480 --> 01:03:15,160
Speaker 2: Yeah you you like to laugh, right, I'm all do

1352
01:03:15,240 --> 01:03:15,880
Speaker 2: who shit?

1353
01:03:16,760 --> 01:03:16,840
Speaker 5: Ed?

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01:03:17,160 --> 01:03:20,240
Speaker 1: I feel like with your with your workout regimen, I

1355
01:03:20,360 --> 01:03:22,600
Speaker 1: could Here's what I be looking for is that it

1356
01:03:22,640 --> 01:03:24,760
Speaker 1: seems to me that the stronger you get, the sadder

1357
01:03:24,840 --> 01:03:28,280
Speaker 1: you are. So if you show up just completely shredded,

1358
01:03:28,440 --> 01:03:29,880
Speaker 1: we're gonna send you to the emergency.

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01:03:30,040 --> 01:03:34,000
Speaker 5: Oh no, just like just like flexing in the bag.

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01:03:34,760 --> 01:03:34,960
Speaker 2: Right.

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01:03:36,800 --> 01:03:39,080
Speaker 1: Uh yeah, man, let's see, I'm trying to find a

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01:03:39,120 --> 01:03:42,320
Speaker 1: good come back to me on that one of my dogs.

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01:03:42,480 --> 01:03:45,880
Speaker 2: All right. Uh, let me see a couple of tweets

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01:03:45,920 --> 01:03:49,800
Speaker 2: I like. One was from a Zeitgang listener at Glamino.

1365
01:03:50,080 --> 01:03:53,040
Speaker 3: We were talking about how the Costco Rotisserie chicken went

1366
01:03:53,080 --> 01:03:56,440
Speaker 3: to like a bag versus like the enclosed plastic dome

1367
01:03:56,560 --> 01:03:59,000
Speaker 3: case that it came in and how people were losing it.

1368
01:03:59,080 --> 01:04:01,320
Speaker 3: And at Glenn Know tweeted me and said, you mean

1369
01:04:01,360 --> 01:04:04,840
Speaker 3: like this bag. In Australia we call it the bachelor's handbag.

1370
01:04:08,360 --> 01:04:11,120
Speaker 3: It's so perfect to call the chicken ro the free

1371
01:04:11,120 --> 01:04:16,320
Speaker 3: reache Chicken is the bachelor's handbag. Love the Ausies. He

1372
01:04:16,480 --> 01:04:20,000
Speaker 3: always always giving us something to laugh about. And another

1373
01:04:20,040 --> 01:04:23,760
Speaker 3: teet I like is from at Tradwife twenty forty nine tweeted.

1374
01:04:23,760 --> 01:04:26,360
Speaker 2: You've just ordered pizza hut in a two liter mountain dew.

1375
01:04:26,680 --> 01:04:29,800
Speaker 2: You've loaded up RuneScape on your PC. No school tomorrow.

1376
01:04:29,880 --> 01:04:32,120
Speaker 2: Your parents don't care if you stay up all night long,

1377
01:04:32,480 --> 01:04:35,479
Speaker 2: a perfect summer night. You are forty one years old.

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01:04:35,760 --> 01:04:37,040
Speaker 2: The year is twenty twenty four.

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01:04:39,960 --> 01:04:42,000
Speaker 1: That's just a legitimate tweet. That's not a joke.

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01:04:42,080 --> 01:04:44,880
Speaker 3: That's just yeah, yeah, that's happening. Look I get it.

1381
01:04:44,880 --> 01:04:50,880
Speaker 3: Happened to me yesterday. Look we see ourselves. We see ourselves,

1382
01:04:50,880 --> 01:04:53,200
Speaker 3: and we honor them more. Did you find that tweet

1383
01:04:53,200 --> 01:04:53,960
Speaker 3: that you were liking?

1384
01:04:54,200 --> 01:04:56,440
Speaker 1: Yeah, I got a hot one from Will Sennett. I

1385
01:04:56,440 --> 01:04:59,080
Speaker 1: will strike tim I would strike Timothy. Shallow may out

1386
01:04:59,080 --> 01:05:02,680
Speaker 1: on three pigs slider outside. He feels like he's drowning

1387
01:05:02,840 --> 01:05:06,760
Speaker 1: her ball in the dirt. Of course he's chasing it. Ladyboard, ladybird, sucked,

1388
01:05:06,840 --> 01:05:09,520
Speaker 1: kill yourself and bang ninety seven inside corner. You're out.

1389
01:05:09,560 --> 01:05:11,320
Speaker 1: You were always out. You've been out since the day

1390
01:05:11,360 --> 01:05:11,840
Speaker 1: you were born.

1391
01:05:12,240 --> 01:05:15,040
Speaker 5: There was no There is a TikTok version of this

1392
01:05:15,760 --> 01:05:18,920
Speaker 5: that is one of the best. Will Senne is also

1393
01:05:18,960 --> 01:05:23,200
Speaker 5: one of the funniest guys alive. But also he has

1394
01:05:23,280 --> 01:05:25,480
Speaker 5: one where he does this, and he's a very threatening

1395
01:05:25,520 --> 01:05:28,680
Speaker 5: looking guy like he just he Part of his comedy

1396
01:05:28,720 --> 01:05:30,920
Speaker 5: is that he looks a little but he's a lovely fellow.

1397
01:05:31,840 --> 01:05:34,200
Speaker 5: As a very good podcast called a Closer Look as well.

1398
01:05:34,400 --> 01:05:36,160
Speaker 5: But he does that one, and he has an amazing

1399
01:05:36,200 --> 01:05:39,080
Speaker 5: one about Princess Diana where he just starts around. He's like,

1400
01:05:39,120 --> 01:05:40,800
Speaker 5: Princess dan Or, I can't give you much.

1401
01:05:40,960 --> 01:05:43,520
Speaker 2: You could move to the beautiful city of Cincinnati, Ohio,

1402
01:05:44,160 --> 01:05:46,560
Speaker 2: and you could have two children called like Chris or

1403
01:05:46,600 --> 01:05:49,280
Speaker 2: Gunner or something, and you know, we could see the

1404
01:05:49,320 --> 01:05:51,800
Speaker 2: Cincinnati Bengals, who should be good.

1405
01:05:51,840 --> 01:05:55,120
Speaker 5: And he just goes on this insane protected ground.

1406
01:05:56,280 --> 01:05:57,120
Speaker 2: He's amazing.

1407
01:05:57,320 --> 01:05:59,680
Speaker 5: He has another one about Oppenheimer as well.

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01:06:00,200 --> 01:06:02,600
Speaker 2: We'll send it. He's yeah, yeah, yeah, man.

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01:06:03,200 --> 01:06:05,480
Speaker 3: Well you can find us at daily Zeitgeist on Twitter,

1410
01:06:05,480 --> 01:06:07,440
Speaker 3: at the daily zeit Guist on Instagram, got a Facebook

1411
01:06:07,440 --> 01:06:09,240
Speaker 3: fan page, and a website daily ze Guys dot com.

1412
01:06:09,240 --> 01:06:12,600
Speaker 2: Worry post our episode and our footnotes notes come out

1413
01:06:12,720 --> 01:06:13,400
Speaker 2: hollo back.

1414
01:06:13,880 --> 01:06:17,160
Speaker 3: Where we got all the articles we've talked about, as

1415
01:06:17,200 --> 01:06:20,280
Speaker 3: well as the song we are writing out on today.

1416
01:06:20,680 --> 01:06:24,200
Speaker 3: What song are we writing out on today? You ask, well,

1417
01:06:24,800 --> 01:06:25,520
Speaker 3: I think.

1418
01:06:25,400 --> 01:06:28,160
Speaker 2: This one is. Where is it at? Oh? I was

1419
01:06:28,200 --> 01:06:31,120
Speaker 2: just listening to a King Cruel track that I had

1420
01:06:31,160 --> 01:06:33,640
Speaker 2: not heard before, and it really really got much to

1421
01:06:33,840 --> 01:06:36,920
Speaker 2: tap it. Really enjoyed it. It's called C fourth s

1422
01:06:36,960 --> 01:06:39,120
Speaker 2: E A f O r t H King Cruel k

1423
01:06:39,400 --> 01:06:41,360
Speaker 2: r U l E. I'm sure most of you know

1424
01:06:41,400 --> 01:06:44,000
Speaker 2: about it. I'm late to the party with this track

1425
01:06:44,320 --> 01:06:46,080
Speaker 2: had me go on, so we're going to write out

1426
01:06:46,120 --> 01:06:46,480
Speaker 2: on that.

1427
01:06:46,560 --> 01:06:50,000
Speaker 3: For more podcast check out i heeartradio app, Apple Podcasts,

1428
01:06:50,040 --> 01:06:51,520
Speaker 3: wherever you get your shows for free.

1429
01:06:51,560 --> 01:06:52,320
Speaker 2: That's going to do it for us.

1430
01:06:52,320 --> 01:06:54,880
Speaker 3: We'll be back later to tell you what's trending, and

1431
01:06:54,920 --> 01:06:56,479
Speaker 3: that'll do it for us later.

1432
01:06:56,880 --> 01:06:58,720
Speaker 2: Bye bye, p

1433
01:07:00,400 --> 01:07:01,800
Speaker 4: Dren, Doctor st