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Speaker 1: Hello the Internet, and welcome to this episode of The

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Speaker 1: Weekly Zeitgeist. Uh. These are some of our favorite segments

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Speaker 1: from this week, all edited together into one NonStop infotainment

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Speaker 1: laugh stravaganza.

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Speaker 2: Uh yeah, So, without.

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Speaker 1: Further ado, here is the Weekly Zeitgeist. Well, that voice

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Speaker 1: you hear is not Harry Kane. We are thrilled to

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Speaker 1: be joined by one of our favorites, the tech journalists

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Speaker 1: and writer behind the newsletter Where's Your ed At?

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Speaker 2: Where's Your ed dot At?

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Speaker 1: This podcast with cool Zone Media Better Offline is a

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Speaker 1: must listen. One of my favorite podcasts that launched in

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Speaker 1: the last year, So good go check it out.

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Speaker 2: It's head ZiT Dry.

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Speaker 1: Welcome back to the podcast.

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Speaker 3: The podcast voice the entire time. I don't even know

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Speaker 3: what that is.

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Speaker 2: You're in the pot, You're in the rock with the casters. Man,

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Speaker 2: I didn't start on college radio, so what were you?

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Speaker 2: Were you playing music or were you just doing like

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Speaker 2: I was.

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Speaker 3: I was playing music, but I was talking and I

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Speaker 3: just bring random people in.

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Speaker 1: Yeah.

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Speaker 3: And my favorite thing to do was when I got

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Speaker 3: crank calls from people is I'd find the number and

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Speaker 3: call them back. I'd be like, I think we got

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Speaker 3: cut off somehow right most of the I'm sorry, I'm

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Speaker 3: sorry man, Okay, you're on radio.

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Speaker 2: Whoa. It's always interesting to see that kind of troll energy.

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Speaker 2: Were like, I only meant it for to go in

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Speaker 2: one direction. The second you acknowledge as a person, it

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Speaker 2: all falls apart a conversation.

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Speaker 3: Yeah, but I was born on the Internet. I was

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Speaker 3: ready for this, like right exactly.

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Speaker 2: Oh man, who was that one dude who did those

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Speaker 2: crank calls in the UK?

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Speaker 1: That comedian?

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Speaker 2: I remember, like they went viral over here in the

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Speaker 2: internet era. Hmmm, it was like crah my, god he

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Speaker 2: would do never mind, I'll find the thing. It was

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Speaker 2: like Jersey Boys you're thinking of, Yeah, Jerky Boys, the

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Speaker 2: Jersey Boys. I think that's a musical. Yeah.

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Speaker 1: Look, my brain's not working all right. That makes three

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Speaker 1: of us, that's right. Two five. What is something from

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Speaker 1: your search history that's revealing about who you are or

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Speaker 1: something you've recently screen grabbed that is revealing about who

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Speaker 1: you are?

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Speaker 4: Well, thank god you added in that second one just

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Speaker 4: to really expand.

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Speaker 1: Yeah, that's what we're here for. It's good.

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Speaker 4: It's good.

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Speaker 1: It's like you're doing this for seven years, you know.

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Speaker 1: It's sometimes we got to add a little wrinkle, like

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Speaker 1: did you hear what I did with my voice at

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Speaker 1: the beginning, the like deep thing, Like when I said deep,

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Speaker 1: I made my voice deep. It was kind of.

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Speaker 4: It's interesting you're like Bette Midler and how she kept

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Speaker 4: just adding things to her repertoire throughout her long career. Yeah.

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Speaker 4: She people say she was a triple threat. I think

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Speaker 4: it's quintuple, far more than that. But but that is

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Speaker 4: not what I'm here to talk about today. We're doing

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Speaker 4: a Bett Middller special or is that the one of

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Speaker 4: the books we can talk about that.

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Speaker 2: Yeah, that's why this episode is called for the Boys

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Speaker 2: in reference to the film and for the Boys.

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Speaker 4: Thing from my I'll choose google search, I guess for

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Speaker 4: this one, just because I'm a bit of a traditionalist.

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Speaker 4: But I googled Steve Bonnet and he was a pirate

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Speaker 4: and I thought he was a made up pirate from

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Speaker 4: that show Our Flag Means Death, which was on HBO

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Speaker 4: for a while, which was a very very very funny show.

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Speaker 4: I think it just got canceled, but it was very funny.

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Speaker 2: And you know, it's a good show on HBO after

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Speaker 2: season most.

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Speaker 4: Strangly and it's great. I highly recommend it if you

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Speaker 4: if you want to watch it. But he was known

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Speaker 4: as the Gentleman Pirate. And then my sister's boyfriend does

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Speaker 4: like tours in Charleston, South Carolina. It was nice enough

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Speaker 4: to give my wife and I and my mom a tour,

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Speaker 4: and we went by this public square and it said

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Speaker 4: here was where Steve Bonnet, the Gentleman Pirate was hanged

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Speaker 4: by the neck. And it turns out that Steve Bonnet

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Speaker 4: was a real pirate. This is what I googled. And

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Speaker 4: he was a gentleman's pilot, a pirate in that he

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Speaker 4: and he was a sea pilot in ways too, but

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Speaker 4: I meant pirate and.

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Speaker 1: To keep justifying the mistake.

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Speaker 4: You made, make it longer.

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Speaker 1: The pilots of the sea in many ways c SCA

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Speaker 1: of course.

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Speaker 4: But he was called the gentleman pirate because often pirates

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Speaker 4: they just stole their ships or got them in a

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Speaker 4: devious way. But he was a very rich man who

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Speaker 4: wanted to become a pirate, so he bought.

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Speaker 1: A shop playing as a pirate.

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Speaker 4: Yeah, but he then became one where he at a

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Speaker 4: shit and he paid his crew wages, which had never

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Speaker 4: happened before. Where the pay for pirates was just if

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Speaker 4: you stole stuff off another boat, you know, yeah, you

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Speaker 4: get that.

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Speaker 1: Just got that's your pay.

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Speaker 2: Whatever you can, whatever you can fit in your arms, man,

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Speaker 2: that's your salary, exactly, exactly.

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Speaker 4: And yeah, he was a real got interesting guy. And

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Speaker 4: I think it is funny when you will get history

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Speaker 4: where it's like, oh, this person probably died at fifty

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Speaker 4: or something. It's like, oh, no, this man is famous

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Speaker 4: and he was like twenty seven or something when he,

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Speaker 4: like just Blackbeard was a real pirate. I went on

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Speaker 4: a real pirate.

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Speaker 5: Yeah.

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Speaker 2: Yeah, it was very two thousand and five, yes, correct,

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Speaker 2: when everyone is like are you a pirate or are

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Speaker 2: you a ninja? And that was a fucking thing people

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Speaker 2: said seriously to each other, and I was like, get

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Speaker 2: the fuck.

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Speaker 1: Away from me. Neither. So binary like that was when

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Speaker 1: the Internet was five years old and it had the

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Speaker 1: same interests as a five year old.

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Speaker 2: Yes, yes, sorry, this is where we're at as are

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Speaker 2: you pirate or ninja?

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Speaker 1: Next we're going to be into race cars and bay

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Speaker 1: can Yeah, it is true.

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Speaker 4: And now it's starting to get like terminal ailments as

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Speaker 4: it gets older, you know exactly, it's very sick yeah, yeah,

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Speaker 4: truly self despising.

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Speaker 1: We're teenagers, right, paranoia in to our early twenties. I guess,

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Speaker 1: exactly what is something that you guys think is underrated?

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Speaker 6: I think you know, last time we were on here

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Speaker 6: as Aaron was bagging on kids, and so I want

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Speaker 6: to bring it back, so I'm not gonna but yeah, yeah,

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Speaker 6: kids fine, And you know he was just basically like,

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Speaker 6: I hate kids and so my underrated though? Are magnet tiles?

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Speaker 6: You guys got the kids, you're familiar with magnet tiles?

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Speaker 1: Yes, but I do not have a magnetic refrigerator.

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Speaker 7: No, no, No, like magnet Legos, Magni incredible.

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Speaker 1: Yeah, okay, magnet tiles we do have.

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Speaker 6: Yes, Yeah, I got a nephew. He's over at my

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Speaker 6: house every Saturday, and I now believe I have the

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Speaker 6: largest magnetile collection in North America. Wins and bins.

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Speaker 7: You bought or he just has slowly been moving it

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Speaker 7: over to your house.

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Speaker 1: Oh?

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Speaker 2: No, I bought him.

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Speaker 6: And then every time we start building something, we go,

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Speaker 6: you know what, I bet we can hit the ceiling,

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Speaker 6: and then he and I he's four, we get on

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Speaker 6: Amazon and we find someone were like, all right, we'll

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Speaker 6: be here, for next week, and so we just keep

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Speaker 6: building building, and I think they're they're underrated because there's

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Speaker 6: so much to take with Zaren's physics talk. You really

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Speaker 6: have to think about balance and like all you have

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Speaker 6: to be very creative in your thinking and it's not

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Speaker 6: completely structured, and so I think they're underrated to way

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Speaker 6: for kids.

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Speaker 1: Imagine, yeah there it is so much easier to clean

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Speaker 1: up than legos. Oh yeah, less painful, yeah, less painful.

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Speaker 1: But they're all like kind of one of like five

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Speaker 1: shapes usually. I mean that's that's a generalization. I don't

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Speaker 1: want to be unfair to magnetiles do.

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Speaker 6: A lot of tesselating.

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Speaker 1: Yeah, it's not like legos is just such a mess.

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Speaker 1: Yeah magnetiles, how long for the days of magnetiles?

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Speaker 6: That's my over rated as legos. Is there any reasons?

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Speaker 2: Oh great, Yeah, that's been my overrated.

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Speaker 6: Basically, legs are for losers.

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Speaker 1: I think.

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Speaker 6: Here's my thing with legos. It's very limiting. They heard

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Speaker 6: when you step on them, and then now I went

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Speaker 6: to go get legos and for the kid, and it's

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Speaker 6: like so much of them are pre set build this

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Speaker 6: one specific thing, and it's really hard to find, just

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Speaker 6: like the random Star Wars thing.

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Speaker 7: It's instruction following when I get build a giant parakeet

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Speaker 7: or something.

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Speaker 6: Sure, but I have an accomplishment for the kid we're

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Speaker 6: talking about. Yeah, I don't know.

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Speaker 2: I don't like rules.

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Speaker 1: The kids, Michael Jordan's kid kids.

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Speaker 2: Everybody should google Jordan, right, I only know that.

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Speaker 7: As a meme. Is that actually what's the context for?

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Speaker 1: He was in a shooting contest, like in a like

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Speaker 1: at a basketball camp, and some other was like, hey, man,

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Speaker 1: like you're supposed to let the win. I think, yeah,

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Speaker 1: it's on video.

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Speaker 4: But could you movement for them kids?

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Speaker 1: Yeah?

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Speaker 7: Basically, But I do like Elizabeth, how this nephew of

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Speaker 7: yours seems to be just like laundering all of his

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Speaker 7: toy requests through you.

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Speaker 2: Oh, completely, this is a safe house.

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Speaker 6: His father, my brother, was at the store trying to

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Speaker 6: get a birthday present for some other kid's birthday party,

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Speaker 6: and he texted me a picture which one should What

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Speaker 6: present should I get this kid? And it was like magnets,

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Speaker 6: not magnet tiles, but like a magnet kit or like

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Speaker 6: a headlamp. And I show my nephew. I'm like, dude,

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Speaker 6: which one should he get? He said? Tell him to

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Speaker 6: get the headlamp and then you get me the magnet.

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Speaker 6: I was like, all right, I am a sucker. I

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Speaker 6: will just give him everything.

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Speaker 8: So yeah, I know, I know, and then you each

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Speaker 8: return them to the other opposite store you get and

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Speaker 8: then exactly yeah.

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Speaker 2: Yeah.

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Speaker 1: The other thing with Legos is like they're so they

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Speaker 1: have such a monopoly across Like, so I got my

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Speaker 1: like it was recently my year old's birthday, and I

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Speaker 1: got him an action figure just like an you know,

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Speaker 1: and he at first he was like, wait what, I

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Speaker 1: don't I don't get it, but yeah, what do I

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Speaker 1: do with this? But now it's like his favorite toy

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Speaker 1: because it doesn't break into a hundred pieces when you

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Speaker 1: drop it, right, and you can, but like Legos are

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Speaker 1: just so like all their toys just dissolve into one

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Speaker 1: hundred pieces when you drop them, and they're like impossible

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Speaker 1: to like store anywhere, whereas this you like put in

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Speaker 1: a drawer and then like pull it out. So yeah,

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Speaker 1: it's just it's great. Yeah, it's good that there's like

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Speaker 1: an interactive toy that like requires spatial reasoning and all

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Speaker 1: that stuff. It is like, I don't know, I feel

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Speaker 1: like it's too much at this point, like there's it's

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Speaker 1: too and maybe that's just in my household because my

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Speaker 1: other son is like obsessed.

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Speaker 6: With Legos, well are everywhere. I don't trust big Lego.

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Speaker 1: No, yeah, there's no way a company that big isn't

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Speaker 1: like doing something.

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Speaker 6: On somehow, like there are no good billionaires, you know,

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Speaker 6: I don't trust them.

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Speaker 1: Every fifth Lego in like a set has a listening

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Speaker 1: device built out.

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Speaker 2: I mean it was.

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Speaker 7: Weird, but like, yeah, my daughter had one that was

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Speaker 7: like build this eye tracking device.

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Speaker 1: That's right, yeah, and then put it on your dad

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Speaker 1: shop on line.

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Speaker 2: Paul of you, what is something you think is overrated?

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Speaker 9: Okay I might, No, I don't. Okay, it's not overrated.

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Speaker 9: But like, who the fuck is going to watch the

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Speaker 9: presidential debate this year? I don't even know what's happening

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Speaker 9: with voting, but I don't want to watch.

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Speaker 6: What are they going to debate about? I don't know

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Speaker 6: what they're.

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Speaker 2: Gonna even who can remember who they're talking to?

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Speaker 6: Yeah?

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Speaker 5: All right.

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Speaker 2: The first challenge is name the person standing across from you?

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Speaker 9: No, just is getting there without falling over? Okay, this

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Speaker 9: is the least like I've watched the debates before and

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Speaker 9: I've like commented on them and talked about it, but

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Speaker 9: I'm like, this is gonna be so utterly depressing, and

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Speaker 9: also there's so much other shit going on, and everybody's

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Speaker 9: mad at both of them for very legitimate reasons, like.

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Speaker 6: Don't nobody don't just put them?

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Speaker 9: You know those that celebrity boxing show that used to

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Speaker 9: be like do that?

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Speaker 1: Do that?

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Speaker 9: See if they can get in the ring without falling over.

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Speaker 1: Let's see if that works, aw man, purely stress based

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Speaker 1: experience that will be of just like, yeah, I hate

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Speaker 1: both of them.

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Speaker 2: So much, Yeah, for sure, But then.

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Speaker 1: Like also being stressed out. Every time Joe Biden starts

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Speaker 1: a sentence, it's like, oh, fuck, how's how's this one

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Speaker 1: gonna end? He doesn't even know?

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Speaker 9: Yeah, That's how I feel about my stand up sets.

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Speaker 9: I'm like, there's no fucking way Joe Biden's feeling the

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Speaker 9: same way as me doing crowd work, Like who knows

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Speaker 9: where this is gonna go. We're both like I'm definitely

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Speaker 9: gonna bomb today, you know, both of us, Me and Joe.

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Speaker 5: Biden, right, yeah that I don't know what those debates

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Speaker 5: are gonna look like at all, And I don't know

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Speaker 5: like they both think they're like, oh, yeah, watch this, y'all,

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Speaker 5: You're gonna fucking love this, And I don't know if

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Speaker 5: it's gonna render the results that they.

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Speaker 1: Think it will.

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Speaker 9: I am interested to see how he like approaches Trump

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Speaker 9: because the last time he was like all fired up

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Speaker 9: about Malarkey and he was like.

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Speaker 6: Oh, shut up.

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Speaker 9: And now it's like, will he have that confidence and

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Speaker 9: ability to breathe through talking?

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Speaker 1: You know what I mean? Yeah? Yeah, he has moments

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Speaker 1: of energy where like this feels like a burst of

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Speaker 1: I was saying this on yesterday's episode, but like this

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Speaker 1: feels like when he was like that's it, I'm going

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Speaker 1: out there. I'm gonna call press conference and answer all

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Speaker 1: their dang questions man, and like he was good for

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Speaker 1: good but like he did what he was hoping to

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Speaker 1: do for like twelve minutes and was like and I'm

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Speaker 1: out and then like came back to the stage and

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Speaker 1: was like sundowning, And it's just like, yeah, man, it

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Speaker 1: like doesn't he There's no way to be confident that

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Speaker 1: he's going to be able to like reliably stand up

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Speaker 1: there and not embarrass himself.

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Speaker 6: You know that? Uh what do they call it?

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Speaker 9: Like a second like a right, But when people are

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Speaker 9: in like like dying and they're like in a hospital

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Speaker 9: bed and then they get a burst of energy right

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Speaker 9: before they die.

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Speaker 1: Have you heard.

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Speaker 2: Yeah, I feel like that's this.

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Speaker 6: Entire term for.

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Speaker 2: Wind yea.

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Speaker 6: Yeah, I'm like, I'm getting your hopes up.

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Speaker 1: Yeah.

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Speaker 2: Yeah, probably for both of them too. They're like, we

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Speaker 2: need this, we need each other to stay alive just

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Speaker 2: a few moments longer.

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Speaker 1: All right, let's uh, let's take a quick break and

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Speaker 1: we'll come back and do some art criticism. We'll be

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Speaker 1: right back, and we're back. We're back, and sort of recap.

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Speaker 1: Google search used to be good. It was good, and

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Speaker 1: I remember a time that that was like the tech

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Speaker 1: breakthrough that everyone was like, fucking believe this shit, it's

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Speaker 1: like magic.

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Speaker 3: They feel like it was a slow bun. Yeah, but

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Speaker 3: then it just was so ubiquitous at some point that

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Speaker 3: it was just like people just assumed it would always work.

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Speaker 1: Yeah, right, Yeah, there was like a time in the

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Speaker 1: late nineties early it's where people were like, it's it

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Speaker 1: was cool.

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Speaker 2: People are like here, let me google that, right, or

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Speaker 2: it was like a verb anymore, or like you knew

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Speaker 2: how to use it too. It's like you gotta use

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Speaker 2: quotation marks or got to use signs between Google foo.

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Speaker 2: That's why I use alta vista.

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Speaker 1: Actually that's what.

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Speaker 3: Someone say Google foo, and sometime that's a certain kind

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Speaker 3: of guy, right.

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Speaker 2: But I mean, like, yeah, Ed, we've when the last

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Speaker 2: time you were talking, we were talking about the rotten economy,

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Speaker 2: and I know we've made mention of just how Google's

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Speaker 2: become just worse and worse, and then your recent episode

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Speaker 2: about how Google just became an absolute, just unusable basically

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Speaker 2: ad service just because as some of the words I understood,

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Speaker 2: and I was I was right there with you other

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Speaker 2: times conceptually I knew where you were going, but I

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Speaker 2: couldn't quite put it all together intellectually.

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Speaker 1: So could you?

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Speaker 2: Would you mind explaining just sort of this shift from

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Speaker 2: this like code yellow change that occurred, or this code

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Speaker 2: yellow moment into this basically glorified ad server we have now,

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Speaker 2: But please explain it as if I am an ignorant

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Speaker 2: person that was distracted by a toddler while they were listening.

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Speaker 3: Problem. So the episode I wrote and the news company

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Speaker 3: newsletter was about in two thousand and I'm now going

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Speaker 3: to pull it up Slide eighteen eighteen, correct because the

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Speaker 3: dates are important.

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Speaker 1: Yes.

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Speaker 3: So in twenty nineteen, there was a low called Ben Gomes,

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Speaker 3: who is the head of Google Search. Ben Gomes had

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Speaker 3: been at Google since nineteen ninety nine, so basically the

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Speaker 3: beginning he worked directly with Sergey and Larry. He is

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Speaker 3: and there are tons of articles about him where everything

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Speaker 3: he talks about he's talking like a Renaissance painter. He's like,

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Speaker 3: I believe the connectivity between dating, like he's so romantic

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Speaker 3: about it. So on February fifth, twenty nineteen, he gets

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Speaker 3: through a connection of events something called a code yellow,

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Speaker 3: which is an internal Google thing that says there is

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Speaker 3: a problem that's significant. There are higher codes, but they're

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Speaker 3: extremely rare. Code yellow itself is actually pretty rare. So

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Speaker 3: what happened was this code yellow was the revenue and

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Speaker 3: ad side of Google saying Google Search, you are not

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Speaker 3: making us enough money. You need to make us more money.

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Speaker 3: And also, and this is very important, the amount of

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Speaker 3: queries going into Google is not growing enough. Now, little

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Speaker 3: side note for you, queries in this case is referring

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Speaker 3: to the amount of times that people search. Now, if

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Speaker 3: you think about it for just a second, is that

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Speaker 3: necessarily connected to how good Google is not necessarily. In fact,

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Speaker 3: if there are less queries, maybe Google's better.

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Speaker 2: Any round what they were looking for, right, yes.

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Speaker 3: Which does not work for Google. So Google is then

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Speaker 3: in this little futz of the code yellow, and between

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Speaker 3: Ben Gomes and some other guys there's a conversation where

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Speaker 3: he says, hey, guys, I feel like Google is getting

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Speaker 3: too close to the money. Google seems to only care

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Speaker 3: about growth. And after about a month they resolve the

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Speaker 3: code yellow, and there's a big email thread and there's

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Speaker 3: a ton of emails that I'm just leaving out, but

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Speaker 3: I'm sum racing as quick as possible. There's also on

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Speaker 3: the sidelines this guy called Jerry Dishler, who was one

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Speaker 3: of these noxious VP types who was kind of like, yeah, guys,

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Speaker 3: we need to make more queries and we need to

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Speaker 3: make more money, so could you just do that? So

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Speaker 3: the code yellow comes to an end, and it turns

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Speaker 3: out that the guy behind it is a guy called

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Speaker 3: Prabagar Ragavan who was then the head of advertising, it

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Speaker 3: a head of ads on Google. And Ben Going sends

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Speaker 3: out a thing to a bunch of people who are

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Speaker 3: all congratulating each other, saying we got through this great job.

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Speaker 3: Everyone Brabaga responds saying, yeah, actually engineering did that. You

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Speaker 3: didn't do it. He didn't do anything.

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Speaker 1: Wow.

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Speaker 3: So so these emails came out through a Department of

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Speaker 3: Justice is antitrust hearing, and I realized this is a

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Speaker 3: lot of history. In twenty twenty, Brabaga becomes head of

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Speaker 3: Google Search, and he then goes he takes over Google

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Speaker 3: Search from this idealistic from the idealist who worked on

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Speaker 3: Google Search from the.

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Speaker 2: Beginning, right, So he came in, he was.

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Speaker 3: Basically pushed him out. And also, to be clear, this

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Speaker 3: queries metric is insane. Having more queries means nothing. And

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Speaker 3: in fact, these emails kind of detail that he takes

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Speaker 3: over in twenty twenty. Now, if you're really think about it,

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Speaker 3: Google started to get really bad in like twenty nineteen

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Speaker 3: twenty twenty, and has got significantly worse constantly since twenty twenty.

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Speaker 3: End of twenty nine, well, mid twenty nineteen. They added

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Speaker 3: this to mobile, but they put it fully onto desktop

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Speaker 3: as well. In twenty twenty, they maybe changed to make

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Speaker 3: it harder to tell when something is an AD on

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Speaker 3: bribble now.

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Speaker 2: Yeah, yeah, and I definitely noticed that change.

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Speaker 3: They made a bunch of changes to make Google worse.

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Speaker 1: Yeah, it used to be pretty easy. There was like

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Speaker 1: a background. It seemed like pretty clear that they had

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Speaker 1: a internal discussion and we're like, well, we don't want

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Speaker 1: the product, we don't want to be actively tricking people into.

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Speaker 3: Well they they it was funnier than that. They were

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Speaker 3: just like, yeah, we need to see the numbers go up.

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Speaker 3: Please make number go higher. Now, line go up now.

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Speaker 1: Yep. But yeah, like during the two thousands, like it

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Speaker 1: was like there was a balance of like, we need

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Speaker 1: this to be a product, product that people want to use,

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Speaker 1: and we need to make money off of ads. But

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Speaker 1: they've hit a point where they don't really give a

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Speaker 1: shit if it's a product that people want to use.

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Speaker 2: It seems like it's that.

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Speaker 3: And also within these emails, and again this is from

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Speaker 3: the Department of Justice, is suit against Google for monopoly.

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Speaker 3: So hey, what monopoly could they have? And what's really

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Speaker 3: stark about it is what mister Ragavan's previous job was.

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Speaker 3: So can you think of a what would the worst

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Speaker 3: job that could be previously held by someone running Google Search?

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Speaker 3: Just think about it for a second. You might not

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Speaker 3: get it, but just think what is the worst company

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Speaker 3: he could have worked for that isn't like, I don't

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Speaker 3: know define actively. Yeah. Different companies, Like.

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Speaker 1: One of the worst would be Google Ads. They're like

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Speaker 1: driving revenue.

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Speaker 3: Within this period, be not good at their job. I'll

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Speaker 3: skip to it. Mister Ragavan ran search at Yahoo Watch

445
00:22:02,880 --> 00:22:07,680
Speaker 3: two thousand and five to twenty twelve. In that period,

446
00:22:07,880 --> 00:22:10,080
Speaker 3: they went from I think like a thirty three percent

447
00:22:10,160 --> 00:22:14,080
Speaker 3: market share versus Google's thirty six percent to literally doing

448
00:22:14,119 --> 00:22:16,400
Speaker 3: a deal where bing would power Yahoo.

449
00:22:16,880 --> 00:22:19,480
Speaker 1: Yeah. Yeah, let me just say in fact check you

450
00:22:19,480 --> 00:22:22,560
Speaker 1: real quick, let me go Yahoo that Nope, never said.

451
00:22:24,440 --> 00:22:26,120
Speaker 3: She says he's great and has a huge dick.

452
00:22:27,119 --> 00:22:28,800
Speaker 2: Crazy.

453
00:22:29,040 --> 00:22:31,960
Speaker 3: No, but it's crazy because you read this thing, and

454
00:22:32,000 --> 00:22:34,440
Speaker 3: you read this story, and you read the emails, and

455
00:22:34,480 --> 00:22:37,040
Speaker 3: I was writing it and I was like, is this

456
00:22:37,200 --> 00:22:41,760
Speaker 3: someone messing with This is ridiculous, right because the emails

457
00:22:41,760 --> 00:22:44,119
Speaker 3: are so grim. There's one with this guy is engineer

458
00:22:44,160 --> 00:22:48,119
Speaker 3: called Shashi Thaka who's like, can we tell Sundar Pushai

459
00:22:48,320 --> 00:22:52,560
Speaker 3: about this and stop this? That's the CEO of Google

460
00:22:52,640 --> 00:22:54,440
Speaker 3: and his former job was McKinzie.

461
00:22:55,080 --> 00:22:55,320
Speaker 1: Yeah.

462
00:22:55,400 --> 00:22:57,280
Speaker 2: Yeah, they're on the right side of a lot of things.

463
00:22:57,280 --> 00:23:03,040
Speaker 2: I was gonna say, bread prices, carton yeah, yeah, yeah.

464
00:23:02,400 --> 00:23:06,240
Speaker 3: And it's wild because you've read this story and you're like,

465
00:23:06,440 --> 00:23:09,000
Speaker 3: it couldn't be this obvious, could it? And the timeline

466
00:23:09,040 --> 00:23:13,399
Speaker 3: is just perfect yea, And I will actually say something.

467
00:23:13,440 --> 00:23:16,800
Speaker 3: I'm previewing, something I'm working on. The Only time I've

468
00:23:16,800 --> 00:23:20,000
Speaker 3: ever seen worse than this story is in my next

469
00:23:20,000 --> 00:23:21,399
Speaker 3: newsletter about Facebook.

470
00:23:22,200 --> 00:23:22,920
Speaker 1: Yeah.

471
00:23:22,960 --> 00:23:26,679
Speaker 3: Well, you don't have emails in this chain where someone

472
00:23:26,800 --> 00:23:29,720
Speaker 3: is like, yeah, actually it's good. The product sucks, right,

473
00:23:29,800 --> 00:23:33,400
Speaker 3: I actually like this, this is good. I've got documents

474
00:23:33,400 --> 00:23:35,880
Speaker 3: where there's someone writing, yeah, here are the changes we've

475
00:23:35,920 --> 00:23:40,440
Speaker 3: made at Facebook to increase engagement that made Facebook worse. Yeah, right,

476
00:23:40,560 --> 00:23:43,440
Speaker 3: worse for the user and it and guess who guess

477
00:23:43,440 --> 00:23:49,200
Speaker 3: what COO of Facebook Sheryl Samberg until twenty twenty two, McKinsey.

478
00:23:49,400 --> 00:23:50,159
Speaker 1: Yeah, no kidding.

479
00:23:50,560 --> 00:23:53,520
Speaker 3: The people that run Facebook right now, or product managers

480
00:23:53,600 --> 00:23:56,119
Speaker 3: or growth people. This is the This is tying it

481
00:23:56,160 --> 00:23:59,600
Speaker 3: back to Google. The people in charge are management concerns,

482
00:23:59,680 --> 00:24:03,560
Speaker 3: as people, revenue people. They're not the people who build anything.

483
00:24:03,600 --> 00:24:05,240
Speaker 3: They are parasites.

484
00:24:05,840 --> 00:24:09,440
Speaker 2: Yeah. It's sort of like what yeah, private equity does

485
00:24:09,480 --> 00:24:11,399
Speaker 2: to like any other business, Like, we don't know this

486
00:24:11,520 --> 00:24:13,600
Speaker 2: business innately at all. We just know how to make

487
00:24:13,640 --> 00:24:16,080
Speaker 2: the line go up, and if that means everything falls apart,

488
00:24:16,119 --> 00:24:17,760
Speaker 2: like then great, well.

489
00:24:17,640 --> 00:24:18,159
Speaker 3: They're going to do.

490
00:24:18,200 --> 00:24:21,320
Speaker 2: We have the monopoly right right? What was the way

491
00:24:21,320 --> 00:24:24,560
Speaker 2: that search human was making ads before or making like

492
00:24:24,600 --> 00:24:27,159
Speaker 2: generating revenue before the ads or they're just saying we

493
00:24:27,200 --> 00:24:29,760
Speaker 2: need to blaz themm so search.

494
00:24:30,080 --> 00:24:32,719
Speaker 3: But to be clear, at this point, like twenty nineteen,

495
00:24:32,760 --> 00:24:35,399
Speaker 3: Search was making them tens of billions of dollars.

496
00:24:35,480 --> 00:24:37,120
Speaker 2: Sure, it wasn't like it was.

497
00:24:37,600 --> 00:24:39,520
Speaker 3: A fledgling business and they were like, oh, we got

498
00:24:39,520 --> 00:24:42,119
Speaker 3: to grow up everyone. This was a business printing money.

499
00:24:42,560 --> 00:24:42,800
Speaker 1: Right.

500
00:24:42,880 --> 00:24:47,280
Speaker 3: It was a beloved product that everybody used. That everyone

501
00:24:47,400 --> 00:24:49,960
Speaker 3: was like, man, I'm glad that Google exists. I'm glad

502
00:24:49,960 --> 00:24:53,600
Speaker 3: that Google isn't bad, right, and it was almost kind

503
00:24:53,600 --> 00:24:57,359
Speaker 3: of magical. You just find everything now because the people

504
00:24:57,400 --> 00:24:59,800
Speaker 3: in charge are thinking, how do we keep people on

505
00:25:00,040 --> 00:25:02,560
Speaker 3: Google more? How do we make people use Google more?

506
00:25:02,840 --> 00:25:07,359
Speaker 3: Versus how do we make Google good? Yeah, it sucks,

507
00:25:07,440 --> 00:25:10,840
Speaker 3: and it's across almost every tech platform you look at.

508
00:25:10,880 --> 00:25:13,720
Speaker 3: This is because I spoke about the rot economy last time,

509
00:25:13,760 --> 00:25:16,800
Speaker 3: but since then I've done a lot of work actually

510
00:25:16,880 --> 00:25:20,479
Speaker 3: covering the actual rot. Because you can speak big picture

511
00:25:20,480 --> 00:25:23,520
Speaker 3: and you can say, Okay, yeah, things are bad thing,

512
00:25:23,600 --> 00:25:26,399
Speaker 3: bad people bad, look at bad person. But when you

513
00:25:26,440 --> 00:25:31,359
Speaker 3: see in start writing how these people act and the grimness,

514
00:25:31,880 --> 00:25:35,040
Speaker 3: the craven nature of the way these people work, it's

515
00:25:35,240 --> 00:25:39,040
Speaker 3: it's stomach churning turning. I forget which one it is,

516
00:25:39,520 --> 00:25:43,439
Speaker 3: and it's just it's disgraceful. But also, these people have names.

517
00:25:44,160 --> 00:25:46,840
Speaker 3: I genuinely think that just by saying Propagar, Ragvans and

518
00:25:46,960 --> 00:25:50,520
Speaker 3: uppershy all them, Ryl Sandberg, last Batter, Drump like, all

519
00:25:50,520 --> 00:25:52,760
Speaker 3: of these people have names. I'm not saying do anything.

520
00:25:52,800 --> 00:25:55,080
Speaker 3: I'm just saying that I genuinely think that they will

521
00:25:55,200 --> 00:25:57,640
Speaker 3: stop doing quite as many bad things if we keep

522
00:25:57,720 --> 00:26:01,560
Speaker 3: saying it. Right, because Probaca for a man who runs

523
00:26:01,920 --> 00:26:05,240
Speaker 3: an one hundred billion dollars a quarter, I think revenue

524
00:26:05,440 --> 00:26:10,040
Speaker 3: property just Google Search. He is very, very quiet. No

525
00:26:10,160 --> 00:26:12,440
Speaker 3: one had really heard of it. He'd be mentioned as

526
00:26:12,520 --> 00:26:15,600
Speaker 3: a Wired art call. There was a ZDNA art call

527
00:26:15,640 --> 00:26:18,320
Speaker 3: that called him Yahoo's search master, which is one of

528
00:26:18,359 --> 00:26:20,120
Speaker 3: the funniest things considering.

529
00:26:19,680 --> 00:26:21,200
Speaker 2: How bad Yahoo got afterwards.

530
00:26:21,680 --> 00:26:25,280
Speaker 3: Right, But these people, I'm not saying anything should happen.

531
00:26:25,359 --> 00:26:28,960
Speaker 3: I'm just saying talk about them, saying their names will

532
00:26:29,000 --> 00:26:31,800
Speaker 3: shame them, and perhaps they won't feel much shame. But

533
00:26:31,880 --> 00:26:34,159
Speaker 3: the more that these people are called out for these

534
00:26:34,200 --> 00:26:38,120
Speaker 3: specific actions, I think change can actually happen. And also

535
00:26:38,680 --> 00:26:41,600
Speaker 3: Google's in a real pickle right now, like they they

536
00:26:41,640 --> 00:26:46,560
Speaker 3: have buggered Search up quite horribly, if I'm honest. Yeah, Like,

537
00:26:46,600 --> 00:26:49,160
Speaker 3: I've never seen a product get destroyed this badly other

538
00:26:49,200 --> 00:26:49,920
Speaker 3: than Facebook.

539
00:26:50,960 --> 00:26:53,720
Speaker 2: Yeah, I mean, I think, like, if ads are the

540
00:26:53,760 --> 00:26:57,840
Speaker 2: guiding principle, I guess it, does that mean it's bad

541
00:26:57,920 --> 00:27:01,199
Speaker 2: for people looking for information? If if part of it

542
00:27:01,240 --> 00:27:03,119
Speaker 2: means they're getting the best deal on the one of

543
00:27:03,119 --> 00:27:06,920
Speaker 2: those indoor silent basketballs, you know, just being serviced to them.

544
00:27:07,160 --> 00:27:08,800
Speaker 3: I'm trying to find the good and the bad. Yeah,

545
00:27:08,960 --> 00:27:12,919
Speaker 3: but that's the thing. So advertising itself is not evil,

546
00:27:13,200 --> 00:27:17,480
Speaker 3: and for a while it wasn't perfect. I mean anyway, it's.

547
00:27:17,840 --> 00:27:22,680
Speaker 2: An ad in a second, But.

548
00:27:20,960 --> 00:27:23,600
Speaker 3: I mean, I definitely can't with ads on ads on

549
00:27:23,600 --> 00:27:25,959
Speaker 3: better offline. Sorry, everyone, there's a lot of them. I

550
00:27:25,960 --> 00:27:31,960
Speaker 3: don't control it. But advertising has always been a problem

551
00:27:32,000 --> 00:27:36,240
Speaker 3: for Search. In the original Google paper, written by Sergey

552
00:27:36,240 --> 00:27:40,920
Speaker 3: Brin and Larry Page, they literally say that advertising can

553
00:27:40,960 --> 00:27:43,360
Speaker 3: create the wrong incentive for Google.

554
00:27:44,119 --> 00:27:49,919
Speaker 1: Yes, it's yeah, it's the main conflict at the center

555
00:27:50,119 --> 00:27:52,200
Speaker 1: of the entire business. Like, this is not coming out

556
00:27:52,240 --> 00:27:55,760
Speaker 1: of nowhere. This is like a long held battle where

557
00:27:55,800 --> 00:27:59,560
Speaker 1: they had people in positions of power who were just

558
00:28:00,119 --> 00:28:02,199
Speaker 1: knew this was the battle. They were like, there's going

559
00:28:02,280 --> 00:28:04,560
Speaker 1: to be add people or money people who are going

560
00:28:04,600 --> 00:28:08,679
Speaker 1: to be constantly pushing us to decrease the quality of

561
00:28:08,720 --> 00:28:13,639
Speaker 1: the service we provide customers so that we can, you know,

562
00:28:14,119 --> 00:28:18,960
Speaker 1: make our ads more effective at getting them to click right.

563
00:28:19,119 --> 00:28:21,240
Speaker 1: Like that's basically what it comes down to.

564
00:28:22,800 --> 00:28:24,639
Speaker 3: I think what it is is that, yeah, there was

565
00:28:24,680 --> 00:28:27,040
Speaker 3: always going to be some profit incentive. I don't think

566
00:28:27,080 --> 00:28:32,440
Speaker 3: that's possible to avoid, but it was a fairer trade.

567
00:28:32,640 --> 00:28:37,720
Speaker 3: It felt like it wasn't so utterly craven. Yeah, but

568
00:28:37,840 --> 00:28:41,240
Speaker 3: that's the thing. It's when you look at how they've acted,

569
00:28:42,160 --> 00:28:45,000
Speaker 3: especially in these emails, and it's where's your head dot

570
00:28:45,000 --> 00:28:46,840
Speaker 3: at look for the man who killed Google Search, or

571
00:28:46,840 --> 00:28:50,800
Speaker 3: listen to the podcast these emails. The people fighting against

572
00:28:50,880 --> 00:28:55,080
Speaker 3: this are saying things out of a disaster movie. They're like,

573
00:28:55,560 --> 00:28:58,320
Speaker 3: I'm afraid that all we care about is growth. Money

574
00:28:58,400 --> 00:29:01,280
Speaker 3: is the money is getting too close the search ads

575
00:29:01,320 --> 00:29:03,160
Speaker 3: are getting too close to the Search. Is there any

576
00:29:03,200 --> 00:29:05,760
Speaker 3: way we can stop this. I'm not signing up to

577
00:29:05,880 --> 00:29:09,400
Speaker 3: this kind of thing. This will create bad incentives. All

578
00:29:09,440 --> 00:29:12,680
Speaker 3: of the warnings of that, and then some guys like noh,

579
00:29:12,840 --> 00:29:15,680
Speaker 3: kram it, you're going to work. And now Ben Gomes

580
00:29:15,720 --> 00:29:20,600
Speaker 3: is SVP of education, you know Google's education like that, Sure,

581
00:29:20,640 --> 00:29:23,640
Speaker 3: we all have interfaced with Google's education problem. I'm on

582
00:29:23,640 --> 00:29:27,080
Speaker 3: the island from the prisoner, right, he's gone. This man

583
00:29:27,960 --> 00:29:29,840
Speaker 3: has been put in a box, probably because they can't

584
00:29:29,840 --> 00:29:32,719
Speaker 3: fire him, and he's much more valuable in the corner

585
00:29:32,920 --> 00:29:35,720
Speaker 3: than he is out there talking to people like me. Yeah,

586
00:29:35,800 --> 00:29:38,520
Speaker 3: right right, because I would absolutely I would be on

587
00:29:38,560 --> 00:29:40,360
Speaker 3: a plane to go and talk to it. But hey,

588
00:29:40,400 --> 00:29:41,000
Speaker 3: Ben goes.

589
00:29:41,600 --> 00:29:43,640
Speaker 1: But it's the same thing. We've talked about this with

590
00:29:43,760 --> 00:29:49,160
Speaker 1: DEI and you know other you know, with environmental policies,

591
00:29:49,640 --> 00:29:55,240
Speaker 1: when companies are asked to pay attention to the environmental impact,

592
00:29:55,840 --> 00:29:59,000
Speaker 1: it will be popular and it will be entertained by

593
00:29:59,040 --> 00:30:02,800
Speaker 1: them for while, you know, like for Google, it lasted

594
00:30:02,880 --> 00:30:06,040
Speaker 1: almost an entire decade. But like that was the main

595
00:30:06,120 --> 00:30:09,360
Speaker 1: battle that's happening within Search is like, Okay, we're trying

596
00:30:09,360 --> 00:30:12,640
Speaker 1: to make this product better. The money people are trying

597
00:30:12,680 --> 00:30:16,240
Speaker 1: to you know, take it over, and eventually it just

598
00:30:16,520 --> 00:30:21,360
Speaker 1: they wear you down because Wall Street is ultimately the

599
00:30:21,400 --> 00:30:23,960
Speaker 1: thing that the people at the very top end up

600
00:30:24,520 --> 00:30:27,200
Speaker 1: getting kind of inundated with to the point that it's like, what,

601
00:30:27,920 --> 00:30:31,800
Speaker 1: you know, it's their entire incentive structure. So just feel like, yeah,

602
00:30:31,880 --> 00:30:36,280
Speaker 1: the whole thing is just management people and above conjugating

603
00:30:36,320 --> 00:30:39,640
Speaker 1: the desires of Wall Street down through the people who

604
00:30:39,640 --> 00:30:44,600
Speaker 1: are actually building products that customers use. And you know,

605
00:30:44,840 --> 00:30:48,840
Speaker 1: basically that is the conflict that we're seeing happen over

606
00:30:48,880 --> 00:30:52,560
Speaker 1: and over again. And the people who care about the

607
00:30:52,640 --> 00:30:56,320
Speaker 1: quality of the product, or care about the initiative to

608
00:30:56,680 --> 00:31:00,640
Speaker 1: make their company more diverse, or the people or who

609
00:31:00,720 --> 00:31:03,920
Speaker 1: care about the environmental impact of their company like that

610
00:31:04,040 --> 00:31:08,560
Speaker 1: eventually always seems like it gets drummed out by Wall

611
00:31:08,600 --> 00:31:12,360
Speaker 1: Street and gets treated as unrealistic and idealistic and childish

612
00:31:12,600 --> 00:31:16,640
Speaker 1: by Wall Street, who ends up only caring about profitability.

613
00:31:16,880 --> 00:31:20,280
Speaker 3: And what's crazy is Wall Street loves plenty of very

614
00:31:20,320 --> 00:31:24,320
Speaker 3: bad companies. Tesla is a garbage company, but it's a

615
00:31:24,360 --> 00:31:27,280
Speaker 3: meme stock. Now it does no connection to reality, right

616
00:31:27,400 --> 00:31:31,000
Speaker 3: meta as a company has burned like fifteen billion dollars.

617
00:31:31,040 --> 00:31:34,800
Speaker 3: I think or something like that on the metaverse, which

618
00:31:34,840 --> 00:31:37,720
Speaker 3: is never happening. But also they have made Facebook and

619
00:31:37,720 --> 00:31:42,520
Speaker 3: Instagram borderline unusable, and Wall Street loves them because they

620
00:31:42,560 --> 00:31:46,120
Speaker 3: print money. What's insane is all these companies had to

621
00:31:46,200 --> 00:31:50,200
Speaker 3: do was provide a decent service and just make them better,

622
00:31:50,480 --> 00:31:52,800
Speaker 3: and they could just print money run them like a casino,

623
00:31:53,760 --> 00:31:56,320
Speaker 3: like just we don't want to mess with the winning formula.

624
00:31:56,600 --> 00:31:59,040
Speaker 3: That's why casinos look the way they do for so long,

625
00:31:59,120 --> 00:32:02,280
Speaker 3: because they have a supply and demand thing and they

626
00:32:02,320 --> 00:32:05,000
Speaker 3: work it very nicely, but they know touching that little

627
00:32:05,040 --> 00:32:09,080
Speaker 3: balance canno the whole thing off. And it's crazy. It

628
00:32:09,960 --> 00:32:12,920
Speaker 3: makes me feel a little bit crazy, like it does because,

629
00:32:13,080 --> 00:32:14,920
Speaker 3: as I mentioned earlier, when I wrote The Row Economy,

630
00:32:14,920 --> 00:32:16,640
Speaker 3: I had a few public things and I looked at

631
00:32:16,640 --> 00:32:18,120
Speaker 3: and I was like, yeah, this makes sense. This is

632
00:32:18,480 --> 00:32:20,480
Speaker 3: this is a strong theory. It's backed up by things

633
00:32:20,520 --> 00:32:24,000
Speaker 3: I've read seeing it in action, really, and I'm already

634
00:32:24,080 --> 00:32:26,760
Speaker 3: kind of pissy. I'm kind of a pissy missy by before,

635
00:32:27,320 --> 00:32:30,520
Speaker 3: but reading what they're doing, and like some of these

636
00:32:30,520 --> 00:32:33,800
Speaker 3: Facebook things I've got coming as well. That company. I

637
00:32:33,920 --> 00:32:35,720
Speaker 3: used to think that Google was the worst them, but

638
00:32:35,800 --> 00:32:39,000
Speaker 3: Facebook is Mark Zuckerbook's genuinely evil, as are all the

639
00:32:39,000 --> 00:32:42,120
Speaker 3: people and Glit and Schultz and all these other people.

640
00:32:42,120 --> 00:32:44,120
Speaker 3: There are so many people at Facebook who are just

641
00:32:45,200 --> 00:32:47,600
Speaker 3: do not care. They don't care about the user. I

642
00:32:47,680 --> 00:32:49,520
Speaker 3: kind of admire that there are people at Google who

643
00:32:49,520 --> 00:32:54,680
Speaker 3: do right, and I think that only makes what Brabagara

644
00:32:54,720 --> 00:32:58,520
Speaker 3: Ragavan did more evil because he's just like na, Nah,

645
00:32:58,600 --> 00:33:01,200
Speaker 3: don't listen to the bloke who built this crap. No,

646
00:33:01,480 --> 00:33:04,440
Speaker 3: make more money, now, make money, now, make money, now,

647
00:33:05,320 --> 00:33:07,560
Speaker 3: make money for the machine. So I could make the

648
00:33:07,560 --> 00:33:10,400
Speaker 3: search engine worse and get more money, now what. And

649
00:33:10,480 --> 00:33:12,120
Speaker 3: all they had to do was just kind of leave

650
00:33:12,120 --> 00:33:14,920
Speaker 3: it alone. But guess what, that doesn't create eternal growth

651
00:33:14,960 --> 00:33:17,760
Speaker 3: in the street. Also, the real change was twenty fifteen

652
00:33:17,760 --> 00:33:21,400
Speaker 3: when Sundark men, mckenzy boy and the McKenzie people. The

653
00:33:21,440 --> 00:33:24,600
Speaker 3: moment they touch it, they got the brown midas touch

654
00:33:25,720 --> 00:33:29,280
Speaker 3: turns everything to poopy. It sucks. It sucks so bad.

655
00:33:29,320 --> 00:33:31,320
Speaker 3: Because they didn't have to do this, they could have

656
00:33:31,360 --> 00:33:34,120
Speaker 3: still Google would probably if they left it in a

657
00:33:34,160 --> 00:33:37,040
Speaker 3: good condition and didn't really touch it for seven years,

658
00:33:37,200 --> 00:33:41,040
Speaker 3: probably still print like sixty seventy eight billion dollars a quarter.

659
00:33:41,760 --> 00:33:47,720
Speaker 3: Because it's so ubiquitous. They pay Apple like ten billion dollars. Yeah,

660
00:33:47,760 --> 00:33:50,640
Speaker 3: I think to make it exclusive on iPhone as well.

661
00:33:50,840 --> 00:33:54,040
Speaker 3: It's just insane. It's really insane. And I think the

662
00:33:54,640 --> 00:33:56,600
Speaker 3: especially given what I've seen with the Facebook stuff, much

663
00:33:56,600 --> 00:33:59,480
Speaker 3: of it already out there, is I reckon behind the curtain.

664
00:33:59,480 --> 00:34:02,440
Speaker 3: There's a lot companies like this. I wouldn't be surprised

665
00:34:02,480 --> 00:34:05,360
Speaker 3: if the Boeing stuff is going to reveal a lot

666
00:34:05,360 --> 00:34:09,040
Speaker 3: more like this as well. But within the tech industry,

667
00:34:09,080 --> 00:34:11,160
Speaker 3: this is what is happening, and this is what happens

668
00:34:11,160 --> 00:34:14,080
Speaker 3: when you don't have the people who build stuff running

669
00:34:14,160 --> 00:34:19,160
Speaker 3: software or hardware, you just get McKinsey scam artists who

670
00:34:19,200 --> 00:34:20,560
Speaker 3: crap up everything forever.

671
00:34:21,400 --> 00:34:23,720
Speaker 2: Yeah, it's like the same thing that happened that's happened

672
00:34:23,719 --> 00:34:26,240
Speaker 2: with the film industry, where people in like the marketing

673
00:34:26,280 --> 00:34:30,640
Speaker 2: accounting departments displaced the actual creatives who are developing films,

674
00:34:30,680 --> 00:34:31,960
Speaker 2: and they're like, no, no, no, no, no, these are the

675
00:34:31,960 --> 00:34:33,279
Speaker 2: movies that make the line go up. Do you know

676
00:34:33,280 --> 00:34:34,759
Speaker 2: anything about movies or stories like you?

677
00:34:34,880 --> 00:34:35,080
Speaker 1: No?

678
00:34:36,280 --> 00:34:38,480
Speaker 3: Let me give you a good example. Microsoft, they just

679
00:34:38,480 --> 00:34:42,319
Speaker 3: shut down a number of studios, including the one I

680
00:34:42,360 --> 00:34:45,160
Speaker 3: forget what the name. Tokyo based studio called that made

681
00:34:45,160 --> 00:34:48,920
Speaker 3: a game called Hi Fi Rush, incredibly successful first party

682
00:34:48,960 --> 00:34:54,120
Speaker 3: title exclusive to Xbox NPC. Of course, great game. They

683
00:34:54,200 --> 00:34:56,040
Speaker 3: shut down the studio and a bunch of other ones

684
00:34:56,080 --> 00:34:59,000
Speaker 3: then immediately the next day, and I think the Verge

685
00:34:59,040 --> 00:35:01,479
Speaker 3: had this one as what it was like. Microsoft says

686
00:35:01,520 --> 00:35:03,600
Speaker 3: they need to make more games like the one that

687
00:35:03,640 --> 00:35:05,560
Speaker 3: the studio they shut down. Mate, Like they were like,

688
00:35:05,600 --> 00:35:09,120
Speaker 3: we need smaller indie games that people love, right, And

689
00:35:09,160 --> 00:35:11,600
Speaker 3: it's like you just killed the company that did you

690
00:35:12,920 --> 00:35:17,920
Speaker 3: And it's so obvious, and it's so obvious, and also

691
00:35:18,480 --> 00:35:22,279
Speaker 3: I'm not even sure it's good business, right, I'm not

692
00:35:22,320 --> 00:35:24,760
Speaker 3: sure they're actually making or saving more money.

693
00:35:25,040 --> 00:35:25,560
Speaker 1: I don't know.

694
00:35:25,719 --> 00:35:28,759
Speaker 3: Well Google, yeah, they're definitely making money handover. This same

695
00:35:28,800 --> 00:35:31,680
Speaker 3: thing with Facebook, but these things with game studios in particular,

696
00:35:31,719 --> 00:35:33,680
Speaker 3: and the same with entertainment. It's like, you're not actually

697
00:35:33,760 --> 00:35:36,600
Speaker 3: making money off of this. You're just like, I gotta

698
00:35:36,680 --> 00:35:40,000
Speaker 3: I'm gonna get fined fifty million dollars somewhere. Can we

699
00:35:40,080 --> 00:35:43,319
Speaker 3: just kill that movie we filmed? Yeah, exactly, we just

700
00:35:43,400 --> 00:35:46,240
Speaker 3: not release it. Can we take that off tax return?

701
00:35:46,840 --> 00:35:49,920
Speaker 3: The other should close that loophole by the way. That's

702
00:35:50,760 --> 00:35:54,359
Speaker 3: if I can't deduct a boat, they shouldn't be able

703
00:35:54,360 --> 00:35:59,040
Speaker 3: to Deduck Wiley Coyote and his courtroom drama.

704
00:35:59,200 --> 00:35:59,960
Speaker 2: Yeah, not the other one.

705
00:36:00,440 --> 00:36:02,319
Speaker 3: But also the other thing is I think all these

706
00:36:02,320 --> 00:36:05,399
Speaker 3: tech companies don't realize at some point people are not

707
00:36:05,440 --> 00:36:07,680
Speaker 3: going to care anymore. They're going to stop using these

708
00:36:07,719 --> 00:36:11,160
Speaker 3: products and they're not going to come back. Right but

709
00:36:11,760 --> 00:36:15,279
Speaker 3: that but the actual use user churn is going to happen.

710
00:36:15,440 --> 00:36:19,480
Speaker 1: So that would require them to no longer be a monopoly. Right.

711
00:36:19,680 --> 00:36:23,520
Speaker 1: It feels like that's the thing that like the actual

712
00:36:23,560 --> 00:36:27,560
Speaker 1: anti trust lawsuits need to like come through and actually

713
00:36:27,600 --> 00:36:30,960
Speaker 1: make it so that they don't have these enormous.

714
00:36:30,480 --> 00:36:35,359
Speaker 3: I mean, that's never gonna happen, right. However, the thing

715
00:36:35,400 --> 00:36:39,719
Speaker 3: that will, I think is not what people are expecting is, oh,

716
00:36:40,040 --> 00:36:42,239
Speaker 3: they'll stop. They won't stop using Google because they need

717
00:36:42,280 --> 00:36:46,239
Speaker 3: a search engine unless they don't, right, unless people just

718
00:36:46,560 --> 00:36:49,879
Speaker 3: change their habits to move away from search engines. Now

719
00:36:49,920 --> 00:36:53,520
Speaker 3: that search engines are bad, right, if they don't use

720
00:36:53,520 --> 00:36:59,560
Speaker 3: Facebook anymore. Like you've used Facebook recently, I'm sure it's terrible.

721
00:36:59,600 --> 00:37:01,319
Speaker 3: You can't even see the people you want to see.

722
00:37:01,320 --> 00:37:04,520
Speaker 3: Same with Instagram, I mean you run an account for

723
00:37:04,560 --> 00:37:06,759
Speaker 3: the daily Zeitgeist. I'm sure you know. You put it

724
00:37:06,800 --> 00:37:08,960
Speaker 3: out and you're like, of the thousands of people that

725
00:37:08,960 --> 00:37:12,719
Speaker 3: follow you, like twelve see it because of the algorithm. Yeah, right,

726
00:37:13,400 --> 00:37:15,520
Speaker 3: at some point people just gonna go, I don't care,

727
00:37:15,719 --> 00:37:19,800
Speaker 3: I just won't use that. Facebook has already had churn.

728
00:37:20,280 --> 00:37:23,040
Speaker 3: They've had over the last ten years, a decent amount

729
00:37:23,080 --> 00:37:26,240
Speaker 3: of churn. They've picked up new users, but it can.

730
00:37:26,040 --> 00:37:26,799
Speaker 2: Go the other way.

731
00:37:27,200 --> 00:37:29,759
Speaker 3: And the problem that these companies have is none of

732
00:37:29,760 --> 00:37:32,000
Speaker 3: the people who built any of it, with Facebook being

733
00:37:32,040 --> 00:37:36,120
Speaker 3: the exception, they're just a completely different animal. For the

734
00:37:36,120 --> 00:37:38,320
Speaker 3: most part, the people who built these companies aren't there anymore,

735
00:37:38,400 --> 00:37:41,279
Speaker 3: or they've been shoved in the corner and going out

736
00:37:41,320 --> 00:37:44,560
Speaker 3: to the public and saying, hi, guys, So Google search blue.

737
00:37:45,320 --> 00:37:48,080
Speaker 3: It was so bad, but it's good now. People are

738
00:37:48,080 --> 00:37:49,520
Speaker 3: gonna be like, yeah, sure, mate.

739
00:37:49,719 --> 00:37:55,000
Speaker 1: Pull Dominos pizza. We understand our product has been bad.

740
00:37:55,640 --> 00:37:58,960
Speaker 1: That's because we're trying to save money. Right.

741
00:37:59,000 --> 00:38:03,000
Speaker 3: Yeah, it's just very depressing. It The whole thing makes

742
00:38:03,000 --> 00:38:06,360
Speaker 3: me very angry. But hey, it's it's broadcast baby.

743
00:38:06,680 --> 00:38:08,960
Speaker 1: Yeah. All right, let's say let's take a quick break,

744
00:38:08,960 --> 00:38:11,240
Speaker 1: because I do want to talk about and Ron Musk

745
00:38:11,320 --> 00:38:14,399
Speaker 1: and what's going on over there. We will be right back.

746
00:38:24,400 --> 00:38:27,360
Speaker 1: Is the green microphone for Eagles?

747
00:38:27,760 --> 00:38:30,480
Speaker 4: It's it is my favorite color and also my favorite

748
00:38:30,520 --> 00:38:33,160
Speaker 4: team's color. My favorite like green, everything?

749
00:38:33,920 --> 00:38:34,239
Speaker 2: Is it?

750
00:38:34,400 --> 00:38:35,479
Speaker 1: Yeah? Green?

751
00:38:36,560 --> 00:38:39,959
Speaker 4: I love green? Greenies over a green, huge green.

752
00:38:40,200 --> 00:38:41,719
Speaker 1: It's your favorite color. I don't think I've ever asked

753
00:38:41,719 --> 00:38:43,000
Speaker 1: you that, what's your favorite color? Bro?

754
00:38:43,719 --> 00:38:45,560
Speaker 2: Don't don't, don't start like you care now you know

755
00:38:45,600 --> 00:38:45,960
Speaker 2: what I mean?

756
00:38:47,200 --> 00:38:50,360
Speaker 1: Is it gray? I know?

757
00:38:50,520 --> 00:38:52,680
Speaker 2: You idiot?

758
00:38:53,560 --> 00:38:54,800
Speaker 1: The orange idiot.

759
00:38:55,200 --> 00:38:56,200
Speaker 2: I love orange.

760
00:38:56,440 --> 00:38:57,520
Speaker 1: Orange is near the top.

761
00:38:57,600 --> 00:39:02,640
Speaker 2: Orange is good. I love orange. Don't just say that now, Jack, Now.

762
00:39:02,880 --> 00:39:06,600
Speaker 1: I got a little orange flower right here. Oh yeah,

763
00:39:06,880 --> 00:39:10,480
Speaker 1: orange sun flowers, orange star flowers, what they're called? All right?

764
00:39:10,520 --> 00:39:10,799
Speaker 1: All right?

765
00:39:10,920 --> 00:39:12,400
Speaker 4: Is that why you have Netherlands jerseys?

766
00:39:12,640 --> 00:39:13,040
Speaker 1: Miles?

767
00:39:13,200 --> 00:39:16,040
Speaker 2: I do like I that is aside from the fact

768
00:39:16,040 --> 00:39:17,839
Speaker 2: that there are a lot of like like you know,

769
00:39:18,000 --> 00:39:21,480
Speaker 2: some legendary players that have played for the Netherlands. But yeah,

770
00:39:21,480 --> 00:39:23,279
Speaker 2: I like, yeah, that's one reason I like to wear

771
00:39:23,280 --> 00:39:25,200
Speaker 2: that jersey. Come like, yeah, like nice, you can't not

772
00:39:25,239 --> 00:39:26,880
Speaker 2: everybody can pull orange off. And you know what I

773
00:39:26,880 --> 00:39:29,560
Speaker 2: think it was? It was it took one ex girlfriend

774
00:39:29,600 --> 00:39:32,040
Speaker 2: to say I looked good in orange to be like, yes,

775
00:39:32,480 --> 00:39:35,440
Speaker 2: now I'm taking risks. Baby used to wear blue. I

776
00:39:35,480 --> 00:39:37,239
Speaker 2: used to I'm not joking. I used to only wear

777
00:39:37,320 --> 00:39:40,399
Speaker 2: fucking blue, like only blue, not even because I thought

778
00:39:40,400 --> 00:39:42,279
Speaker 2: I was like some kind of like a crip or whatever.

779
00:39:42,320 --> 00:39:44,319
Speaker 2: I was just so such boy that I was like,

780
00:39:44,400 --> 00:39:49,160
Speaker 2: blue is my favorite. And then like if I'm feeling blue, yeah,

781
00:39:49,400 --> 00:39:54,680
Speaker 2: I'll wear Carolina or I call the Carolina blue. Yeah, baby, no, no, no, no, no, no,

782
00:39:54,840 --> 00:39:57,000
Speaker 2: Carol Wallace.

783
00:39:58,880 --> 00:39:59,120
Speaker 1: Blue.

784
00:39:59,239 --> 00:40:01,640
Speaker 2: I'm wearing to be Supper's blue. But then yeah, and

785
00:40:01,719 --> 00:40:04,359
Speaker 2: then it took this one one ex to be like, wow,

786
00:40:04,440 --> 00:40:06,600
Speaker 2: you look really good. And then like her friend we

787
00:40:06,719 --> 00:40:08,600
Speaker 2: went out like to a like a bar or something there.

788
00:40:08,600 --> 00:40:11,040
Speaker 2: I was like, okay, orange shirt, I like that on you.

789
00:40:11,080 --> 00:40:13,560
Speaker 1: And I was like I'm I'm the orange. Oh my god,

790
00:40:13,680 --> 00:40:18,200
Speaker 1: there it is. You can control my behavior. So with

791
00:40:19,360 --> 00:40:22,640
Speaker 1: one on something i'm wearing, I will wear nothing else

792
00:40:22,719 --> 00:40:22,880
Speaker 1: for you.

793
00:40:23,080 --> 00:40:26,360
Speaker 2: I stopped shaving my shitty beard because someone in college

794
00:40:26,480 --> 00:40:28,960
Speaker 2: was like I was like, oh, it looks like terrible.

795
00:40:29,040 --> 00:40:29,440
Speaker 1: She's like no.

796
00:40:29,560 --> 00:40:31,480
Speaker 2: I kind of remember thinking like, oh, what's up with him?

797
00:40:31,560 --> 00:40:33,680
Speaker 2: Because he had like the interesting facial hair, and I

798
00:40:33,800 --> 00:40:35,800
Speaker 2: was like, do you mean because it looks so shitty.

799
00:40:36,280 --> 00:40:38,279
Speaker 1: She's like, well, you know, but it was. It was

800
00:40:38,400 --> 00:40:40,879
Speaker 1: interesting and for a while I thought that was the movie.

801
00:40:40,920 --> 00:40:44,719
Speaker 1: It's not wonder they must know right there, like yeah,

802
00:40:44,719 --> 00:40:46,520
Speaker 1: they're probably like yo, I could visit this idiot to

803
00:40:46,560 --> 00:40:48,759
Speaker 1: wear orange and not shave his stupid ass beer.

804
00:40:50,000 --> 00:40:51,719
Speaker 4: Someone said it was funny when I was six and

805
00:40:51,760 --> 00:40:54,239
Speaker 4: I'm still doing stand up, like what are you doing?

806
00:40:54,400 --> 00:40:56,839
Speaker 2: Exactly right? Yeah, yeah, look at this now.

807
00:40:57,320 --> 00:41:00,200
Speaker 1: All right, I don't know. Are we where we all were?

808
00:41:00,239 --> 00:41:02,000
Speaker 1: We always back is the question.

809
00:41:02,080 --> 00:41:05,120
Speaker 2: It doesn't matter back, We've been back, never been away.

810
00:41:05,440 --> 00:41:08,040
Speaker 2: All right, we're back, We're but back to the news.

811
00:41:08,680 --> 00:41:13,160
Speaker 1: We have important news. A restaurant in Las Vegas promised

812
00:41:13,200 --> 00:41:17,040
Speaker 1: a bluey Day and it ended up being not so great.

813
00:41:17,440 --> 00:41:21,600
Speaker 1: Those kind of yeah, it kind of Wonka experience ish that,

814
00:41:21,680 --> 00:41:25,080
Speaker 1: but not I don't know, like this, this feels a

815
00:41:25,160 --> 00:41:26,000
Speaker 1: little different to me.

816
00:41:26,200 --> 00:41:27,880
Speaker 2: That's why that's why I wanted to bring it to

817
00:41:28,120 --> 00:41:31,839
Speaker 2: to this Triumvirate of great minds. Is because ever since

818
00:41:31,880 --> 00:41:35,880
Speaker 2: that Wonka experience in Glasgow, I've always just been dubious

819
00:41:35,920 --> 00:41:38,400
Speaker 2: of like any event that's like gear towards kids. It's like,

820
00:41:38,480 --> 00:41:41,359
Speaker 2: and we've got characters that you can check out. And yeah,

821
00:41:41,440 --> 00:41:44,239
Speaker 2: this hot dog place they said, Hey, it's called dirt Dog.

822
00:41:44,480 --> 00:41:47,960
Speaker 2: They're like, yo, Blue Day, watch Bluey all afternoon face painting,

823
00:41:48,000 --> 00:41:50,960
Speaker 2: gave Blue giveaways, Meet the Bluey, Meet Blue and friends.

824
00:41:51,239 --> 00:41:54,759
Speaker 2: So guess what the parents showed up And now you

825
00:41:54,840 --> 00:41:57,279
Speaker 2: can already guess how this ends, because why the fuck

826
00:41:57,280 --> 00:42:01,200
Speaker 2: would we talk about a successful blue event? No, it

827
00:42:01,400 --> 00:42:02,160
Speaker 2: was no good.

828
00:42:02,480 --> 00:42:04,880
Speaker 1: It was so good. It was amazing.

829
00:42:04,960 --> 00:42:06,719
Speaker 2: The kids had such a good time.

830
00:42:06,920 --> 00:42:09,120
Speaker 1: Well, the last work by the people in the suits

831
00:42:09,440 --> 00:42:10,520
Speaker 1: was incredible.

832
00:42:10,760 --> 00:42:13,120
Speaker 2: I'll just play this clip from the local news. It

833
00:42:13,239 --> 00:42:16,600
Speaker 2: starts off with a little girl saying, how like upset

834
00:42:16,719 --> 00:42:18,960
Speaker 2: she was about the bullshit she was seeing in front

835
00:42:18,960 --> 00:42:19,160
Speaker 2: of her.

836
00:42:19,640 --> 00:42:21,440
Speaker 1: And I saw him like the sclor hill.

837
00:42:21,640 --> 00:42:24,719
Speaker 2: I was mad, she said, I saw him and I

838
00:42:24,880 --> 00:42:25,680
Speaker 2: just ignored him.

839
00:42:25,760 --> 00:42:26,600
Speaker 1: I was so mad.

840
00:42:27,680 --> 00:42:28,840
Speaker 4: Did he look like the cartoon?

841
00:42:28,920 --> 00:42:30,759
Speaker 7: Did he look like what like on TV?

842
00:42:31,680 --> 00:42:36,240
Speaker 9: No? He he looked like unexpected we could like hear fear.

843
00:42:36,880 --> 00:42:40,080
Speaker 10: Sophia and other kids had the same reaction. The Bluey

844
00:42:40,120 --> 00:42:42,840
Speaker 10: they expected was not who greeted them. On the left.

845
00:42:43,040 --> 00:42:44,919
Speaker 10: This is a photo a parent took at an event

846
00:42:45,040 --> 00:42:48,480
Speaker 10: with the popular cartoon character Bluey. On the right, it's

847
00:42:48,520 --> 00:42:51,880
Speaker 10: a staff member of Dirk Dog in a makeshift Bluey costume.

848
00:42:52,120 --> 00:42:53,240
Speaker 2: The kids were distraught.

849
00:42:53,360 --> 00:42:54,360
Speaker 6: Some kids were crying.

850
00:42:54,560 --> 00:42:58,399
Speaker 10: Some kids were upset, crying in their parents' shoulders. Three

851
00:42:58,520 --> 00:43:01,920
Speaker 10: thousand people RSVP on the Facebook event. Crowds poured in

852
00:43:02,040 --> 00:43:05,239
Speaker 10: for hours. There were lines outside in the heat. Inside

853
00:43:05,360 --> 00:43:08,880
Speaker 10: concerns about capacity, from the face painting to baked goods.

854
00:43:09,000 --> 00:43:12,200
Speaker 10: Many parents say they were underwhelmed and the free stuff

855
00:43:12,280 --> 00:43:13,480
Speaker 10: got snatched up quickly.

856
00:43:13,800 --> 00:43:14,719
Speaker 6: How could you do that to.

857
00:43:16,239 --> 00:43:18,239
Speaker 1: Little kids? How could you do that?

858
00:43:18,840 --> 00:43:22,120
Speaker 2: So when I look at it, I'm like, it's not

859
00:43:22,440 --> 00:43:26,080
Speaker 2: it's it definitely does not rise to the egregiousness of

860
00:43:26,280 --> 00:43:29,080
Speaker 2: the walka experience that was like the Wanka thing was

861
00:43:29,200 --> 00:43:32,960
Speaker 2: like existentially troubling on the inside, right right, right, Yeah,

862
00:43:33,080 --> 00:43:36,960
Speaker 2: this looks like a restaurant, Like it looks like a

863
00:43:37,000 --> 00:43:38,719
Speaker 2: Blaze pizza on the inside.

864
00:43:39,040 --> 00:43:43,480
Speaker 1: Right that just happens to like have be overcrowded and

865
00:43:43,640 --> 00:43:46,839
Speaker 1: have some like like have a Bluey children's birthday party

866
00:43:47,200 --> 00:43:48,320
Speaker 1: happening right like that?

867
00:43:48,480 --> 00:43:51,800
Speaker 2: Yeah exactly, I mean, you know, like the restaurants like

868
00:43:51,880 --> 00:43:54,239
Speaker 2: this is the restaurant's apology made it feel less scared

869
00:43:54,239 --> 00:43:55,719
Speaker 2: because I was like, is this a scam or I

870
00:43:55,760 --> 00:43:57,960
Speaker 2: think this feels more like the restaurants I.

871
00:43:58,040 --> 00:44:03,400
Speaker 1: Love this restaurant. First, it's called dirt Dog. It's a

872
00:44:03,560 --> 00:44:07,480
Speaker 1: hip hop themed hot dog restaurant. That's great. I was

873
00:44:07,640 --> 00:44:09,239
Speaker 1: I was hoping that there would be like more of

874
00:44:09,280 --> 00:44:12,239
Speaker 1: an old dirty bastard vibe, But I don't know how

875
00:44:12,360 --> 00:44:15,840
Speaker 1: you pull off an old dirty bastard vibe, like in

876
00:44:15,920 --> 00:44:18,400
Speaker 1: a place that serves food but to kids.

877
00:44:18,480 --> 00:44:20,880
Speaker 4: And then I want to trademark infringement. Then there's one thing.

878
00:44:20,920 --> 00:44:23,840
Speaker 4: They'll have a bad event, but they won't. They won't assessence,

879
00:44:24,239 --> 00:44:25,279
Speaker 4: I mean exactly, dude.

880
00:44:25,400 --> 00:44:27,160
Speaker 1: That that was a question that occurred to me, is

881
00:44:27,239 --> 00:44:30,080
Speaker 1: like where how the fuck are they? They reached out

882
00:44:30,120 --> 00:44:32,120
Speaker 1: to the creators of Bluuie and we're like, hey, we're

883
00:44:32,160 --> 00:44:34,880
Speaker 1: gonna throw an event with theyd probably get dinged for

884
00:44:35,000 --> 00:44:36,960
Speaker 1: that at a mask, right, So this has to be

885
00:44:37,120 --> 00:44:40,160
Speaker 1: bad news for them one way or another drawing attention

886
00:44:40,239 --> 00:44:42,320
Speaker 1: to this event. But yeah, it looks like a Blaze

887
00:44:42,320 --> 00:44:44,480
Speaker 1: pizza with an Eminem poster on the wall. That's the

888
00:44:44,560 --> 00:44:46,680
Speaker 1: only poster that I couldn't see, just the.

889
00:44:46,760 --> 00:44:49,920
Speaker 2: One like really like great, but you want a hip

890
00:44:49,960 --> 00:44:54,000
Speaker 2: hop thing they have. Yeah, yeah, it's from the It's

891
00:44:54,000 --> 00:44:56,479
Speaker 2: from the Encore album. Not even one of his good ones.

892
00:44:56,840 --> 00:44:59,520
Speaker 2: Yeah the Encore. Nobody was fucking with that one.

893
00:45:00,040 --> 00:45:03,919
Speaker 1: That just seemed like real cool though. Yeah, they were like, wow,

894
00:45:04,120 --> 00:45:06,880
Speaker 1: Bluey's really popular. Good to know we won't fuck this

895
00:45:07,040 --> 00:45:07,880
Speaker 1: up next time.

896
00:45:07,880 --> 00:45:10,000
Speaker 2: And to know we're like, we're high as shit at

897
00:45:10,000 --> 00:45:12,239
Speaker 2: our hot dog restaurant. It's on a whim thought, maybe

898
00:45:12,239 --> 00:45:13,439
Speaker 2: this would be something for the kids.

899
00:45:13,760 --> 00:45:13,880
Speaker 1: Uh.

900
00:45:14,000 --> 00:45:16,360
Speaker 2: They posted on their social media quote, we are truly

901
00:45:16,400 --> 00:45:18,560
Speaker 2: sorry this event wasn't to standard. We will work on

902
00:45:18,680 --> 00:45:20,960
Speaker 2: improving all of the events going forward so we can

903
00:45:21,000 --> 00:45:23,440
Speaker 2: bring you the highest quality as you all deserve. We

904
00:45:23,520 --> 00:45:26,200
Speaker 2: appreciate everyone taking the time to send us your feedback,

905
00:45:26,440 --> 00:45:29,080
Speaker 2: and some of the feedback was fuck you, My kids

906
00:45:29,120 --> 00:45:30,800
Speaker 2: are so upset because you had some guy in the

907
00:45:30,960 --> 00:45:35,040
Speaker 2: jank ass bandit pajamas. That shit wasn't even Bluey, because

908
00:45:35,080 --> 00:45:38,960
Speaker 2: that was a thing that like the people, the complaints

909
00:45:39,000 --> 00:45:42,000
Speaker 2: from parents, they feel like very American, you know what

910
00:45:42,080 --> 00:45:45,160
Speaker 2: I mean, Like we're shit, isn't that bad?

911
00:45:45,360 --> 00:45:45,920
Speaker 1: You know what I mean?

912
00:45:46,000 --> 00:45:47,719
Speaker 2: But you want to act like they were like and

913
00:45:47,840 --> 00:45:51,040
Speaker 2: they served us broken glass. They're like, Okay, dude, it

914
00:45:51,160 --> 00:45:51,839
Speaker 2: was some dude.

915
00:45:51,920 --> 00:45:52,560
Speaker 1: It was sure.

916
00:45:52,960 --> 00:45:56,960
Speaker 2: The costume was yanky and it was banded. Okay, that's true.

917
00:45:57,400 --> 00:45:59,080
Speaker 1: But they were you know, they were giving up.

918
00:45:59,080 --> 00:46:01,239
Speaker 2: They were they had free sets and ship there was

919
00:46:01,280 --> 00:46:03,920
Speaker 2: a good college effort. They weren't telling you anybody like AI,

920
00:46:04,120 --> 00:46:05,919
Speaker 2: supernatural effects and shit were gonna happen.

921
00:46:06,360 --> 00:46:09,279
Speaker 1: This is exactly what I would have expected from a

922
00:46:10,120 --> 00:46:13,040
Speaker 1: free blue event put on by a hot dog restaurant.

923
00:46:14,280 --> 00:46:16,960
Speaker 1: Excite think it's a bar. Also, I was looking up.

924
00:46:17,000 --> 00:46:20,120
Speaker 1: I think it's almost more a bar with hot dogs

925
00:46:20,160 --> 00:46:22,880
Speaker 1: at it. Yeah, it is just a hot dog. So

926
00:46:23,000 --> 00:46:25,320
Speaker 1: you brought your kids to a bar, you know what

927
00:46:25,360 --> 00:46:25,640
Speaker 1: I mean?

928
00:46:26,280 --> 00:46:27,400
Speaker 4: It's not.

929
00:46:29,160 --> 00:46:33,279
Speaker 1: Ya. But I do like the the part where the

930
00:46:33,640 --> 00:46:36,760
Speaker 1: news report is like and many parents were underwhelmed.

931
00:46:37,120 --> 00:46:38,000
Speaker 2: That is the story.

932
00:46:38,320 --> 00:46:41,759
Speaker 1: That's the essence of the story. It was underwhelming, right right.

933
00:46:42,080 --> 00:46:45,840
Speaker 1: Costume was a big miss, Like they fucked up the

934
00:46:45,960 --> 00:46:50,239
Speaker 1: costume really badly. But that is not the level that

935
00:46:50,520 --> 00:46:53,600
Speaker 1: requires a local news story. It feels like this is

936
00:46:53,960 --> 00:46:56,439
Speaker 1: kind of coasting off of the power of that Willy

937
00:46:56,480 --> 00:46:59,720
Speaker 1: Wonka story exactly. I think that's what I think everybody.

938
00:46:59,840 --> 00:47:01,840
Speaker 1: That's that's why I was even like another Wonka story.

939
00:47:01,880 --> 00:47:05,360
Speaker 2: And then I'm like this feels like it. Look, we

940
00:47:05,520 --> 00:47:08,280
Speaker 2: get it. We we want everybody to we want another

941
00:47:08,520 --> 00:47:10,359
Speaker 2: sad Oupa lupa at a bar.

942
00:47:10,840 --> 00:47:11,000
Speaker 8: You know.

943
00:47:11,600 --> 00:47:14,800
Speaker 2: The costume is truly fucked, Like they really did a

944
00:47:14,880 --> 00:47:18,040
Speaker 2: bad job with the costume. Yeah, the way that thing

945
00:47:18,160 --> 00:47:20,360
Speaker 2: is cut, I would not have kids around an adult

946
00:47:20,400 --> 00:47:21,279
Speaker 2: man in that in that car.

947
00:47:21,520 --> 00:47:24,480
Speaker 1: No like his Yeah, the body of Batman is like

948
00:47:24,560 --> 00:47:28,040
Speaker 1: a big mumu. But then the face part is like

949
00:47:28,200 --> 00:47:32,560
Speaker 1: a flat paper like mask that's like rising up over

950
00:47:32,680 --> 00:47:35,080
Speaker 1: his head because he doesn't want to like actually wear it.

951
00:47:35,520 --> 00:47:37,520
Speaker 1: But look, you can entertain a three year old with

952
00:47:37,600 --> 00:47:41,440
Speaker 1: a cardboard box and crans like that. That's an afternoon

953
00:47:41,719 --> 00:47:46,680
Speaker 1: for three like you. So if there's this much anguish

954
00:47:46,920 --> 00:47:51,400
Speaker 1: over an event is probably coming from like, you know,

955
00:47:51,560 --> 00:47:53,120
Speaker 1: them reading your.

956
00:47:53,320 --> 00:47:56,880
Speaker 2: Shit, you know, yeah, yeah, so I don't know anyway,

957
00:47:57,000 --> 00:47:59,160
Speaker 2: just just get a fucking cardboard guys.

958
00:47:59,239 --> 00:48:00,279
Speaker 1: It that fucking hard.

959
00:48:00,400 --> 00:48:02,360
Speaker 2: You don't have to take a blue fest just y.

960
00:48:02,800 --> 00:48:04,920
Speaker 2: I'm like always amazed at with like what the baby

961
00:48:05,680 --> 00:48:08,080
Speaker 2: is playing with, Like he's got all these toys and

962
00:48:08,120 --> 00:48:10,040
Speaker 2: ship now he just likes to play with the fucking

963
00:48:10,120 --> 00:48:14,360
Speaker 2: weird stopper behind the door. That's like, yeah, that's like

964
00:48:14,440 --> 00:48:15,560
Speaker 2: his favorite toy.

965
00:48:17,360 --> 00:48:17,920
Speaker 1: Educational.

966
00:48:18,200 --> 00:48:21,040
Speaker 2: No, he's fucking playing that ship like a fucking banjo

967
00:48:21,160 --> 00:48:22,240
Speaker 2: or like mouth.

968
00:48:22,080 --> 00:48:24,640
Speaker 1: Harp like the bassist.

969
00:48:25,120 --> 00:48:28,279
Speaker 4: Yeah, you don't realize how important those doorstoppers are, by

970
00:48:28,320 --> 00:48:30,120
Speaker 4: the way, until you break one. Because we have not

971
00:48:30,320 --> 00:48:32,800
Speaker 4: had one in our door for like, I think maybe

972
00:48:32,920 --> 00:48:36,640
Speaker 4: eight months, because the walls places it. Our neighbors, I think,

973
00:48:36,719 --> 00:48:38,920
Speaker 4: are like that this is we have to go property.

974
00:48:39,000 --> 00:48:42,480
Speaker 4: Dalus plummeted in the entire it's just the door knob

975
00:48:42,560 --> 00:48:46,160
Speaker 4: hitting the wall is so loud and jarrings like.

976
00:48:46,239 --> 00:48:48,960
Speaker 1: The dream Palace at the end of Inception where it's

977
00:48:49,040 --> 00:48:55,799
Speaker 1: just like crumbling right, all right, And finally big news

978
00:48:55,840 --> 00:48:58,719
Speaker 1: in the world of AI kind of. I don't know.

979
00:48:58,880 --> 00:49:02,160
Speaker 1: They changed the voice basically. I saw like a headline

980
00:49:02,440 --> 00:49:05,719
Speaker 1: a couple of days back those like open AI releases

981
00:49:05,760 --> 00:49:08,920
Speaker 1: a new like flirtier chat GPT.

982
00:49:08,840 --> 00:49:10,840
Speaker 2: And I was like, all right, like I don't un

983
00:49:10,960 --> 00:49:12,680
Speaker 2: necessarily want the.

984
00:49:12,680 --> 00:49:15,080
Speaker 1: Way you said that, like yeah, yeah, no, that was

985
00:49:15,120 --> 00:49:23,040
Speaker 1: me being horny, but this one already Yeah all right,

986
00:49:23,360 --> 00:49:27,560
Speaker 1: So they're releasing basically a new AI voice assistant that

987
00:49:27,800 --> 00:49:32,440
Speaker 1: sounds exactly like Scarlett Johansson from the movie Her, possibly

988
00:49:32,880 --> 00:49:35,920
Speaker 1: because they realize that people getting horny for their smartphones

989
00:49:36,040 --> 00:49:41,640
Speaker 1: is good business. Possibly because Sam Altman is so sam Altman.

990
00:49:41,760 --> 00:49:43,960
Speaker 1: I meant to talk about him more on our Tech

991
00:49:44,000 --> 00:49:47,879
Speaker 1: episode because he's he's like a real He's a lot

992
00:49:48,480 --> 00:49:51,919
Speaker 1: kind of exactly what Ed talks about when he's talking

993
00:49:51,960 --> 00:49:57,520
Speaker 1: about like manager class people who pose as like I'm

994
00:49:57,520 --> 00:49:59,560
Speaker 1: an engineer, I understand the ins and outs of all this,

995
00:50:00,200 --> 00:50:03,120
Speaker 1: but then like doesn't like all all he's ever really

996
00:50:03,239 --> 00:50:07,920
Speaker 1: done is like get Wall Street excited about an idea

997
00:50:08,520 --> 00:50:11,960
Speaker 1: that he doesn't truly understand, or that he does understand

998
00:50:12,000 --> 00:50:14,920
Speaker 1: but is trying to get people to misunderstand, very similar

999
00:50:14,960 --> 00:50:15,760
Speaker 1: to Elon Musk.

1000
00:50:16,120 --> 00:50:21,799
Speaker 2: So ask sam Alton Freed exactly and we're done here.

1001
00:50:21,920 --> 00:50:24,120
Speaker 2: Actually that's we We got to go out on that.

1002
00:50:25,200 --> 00:50:30,560
Speaker 2: But all right, Blake, Yeah, just give us a song.

1003
00:50:31,200 --> 00:50:34,279
Speaker 1: Following the presentation, though he tweeted simply the word Her,

1004
00:50:34,880 --> 00:50:39,359
Speaker 1: which he has said before is his favorite movie. He's

1005
00:50:39,520 --> 00:50:42,640
Speaker 1: also the person who like talks about how he keeps

1006
00:50:42,680 --> 00:50:46,800
Speaker 1: a gun and poison pill on him like all the

1007
00:50:46,880 --> 00:50:50,960
Speaker 1: time in case the AI attacks, Like he just he

1008
00:50:51,800 --> 00:50:55,160
Speaker 1: his whole strategy is he likes to play up how

1009
00:50:55,280 --> 00:51:00,399
Speaker 1: advanced and like sci fi his technology is, even though

1010
00:51:00,520 --> 00:51:02,960
Speaker 1: experts in the field suggest it's basically just like a

1011
00:51:03,000 --> 00:51:08,400
Speaker 1: glorified autocomplete, But like he's borrowing from the cultural capital

1012
00:51:08,560 --> 00:51:13,400
Speaker 1: that sci fi films have given us to make billions

1013
00:51:13,520 --> 00:51:16,840
Speaker 1: and billions of dollars, Like it's the there's this massive

1014
00:51:17,719 --> 00:51:21,680
Speaker 1: market on Wall Street that is like based on all

1015
00:51:21,800 --> 00:51:25,080
Speaker 1: this hype around these things that I think he's like,

1016
00:51:25,239 --> 00:51:27,680
Speaker 1: miss I can't I can't tell if he's like wilfully

1017
00:51:27,760 --> 00:51:30,440
Speaker 1: misunderstanding it or like some of the reporting on him

1018
00:51:30,480 --> 00:51:34,040
Speaker 1: suggests he like doesn't really understand the code, So maybe

1019
00:51:34,080 --> 00:51:37,400
Speaker 1: he really believes his own bullshit and is like, finally

1020
00:51:37,719 --> 00:51:41,879
Speaker 1: we've created my girlfriend that has been wanting to fuck forever.

1021
00:51:41,960 --> 00:51:42,839
Speaker 1: I love her so much.

1022
00:51:43,080 --> 00:51:46,280
Speaker 2: Please tell me what I'm looking at. These are ducks

1023
00:51:46,320 --> 00:51:48,640
Speaker 2: gliding on the water. I mean, there's all like I

1024
00:51:48,719 --> 00:51:51,240
Speaker 2: feel like on Twitter, so many people are just dubious,

1025
00:51:51,400 --> 00:51:53,800
Speaker 2: like out the fucking Gate in terms of like what

1026
00:51:53,920 --> 00:51:55,520
Speaker 2: they like what it said it was doing, and they're

1027
00:51:55,520 --> 00:51:58,000
Speaker 2: like they're probably just training it on the like just

1028
00:51:58,120 --> 00:52:02,839
Speaker 2: these very narrow, these very narrow examples. But yeah, either way,

1029
00:52:02,960 --> 00:52:06,080
Speaker 2: like like you were saying on Tuesday, we're not past

1030
00:52:06,160 --> 00:52:09,239
Speaker 2: the point of fun party toy, you know, yeah, like

1031
00:52:09,400 --> 00:52:11,719
Speaker 2: that's like what it does. It's like, oh, man, get

1032
00:52:11,760 --> 00:52:14,200
Speaker 2: it to write a song about Jack's plumpers, and it's

1033
00:52:14,200 --> 00:52:16,640
Speaker 2: like even then, Zeitgang is even fucking better than AI.

1034
00:52:16,800 --> 00:52:19,440
Speaker 2: So I'm like, I don't look, no, you're not. You're

1035
00:52:19,480 --> 00:52:22,239
Speaker 2: not usurping anybody except for maybe, you know, being a

1036
00:52:22,320 --> 00:52:26,120
Speaker 2: bad visual artist or something. Yeah, they're usurping me. My

1037
00:52:26,320 --> 00:52:28,400
Speaker 2: My ability to write plumpers is pretty limited.

1038
00:52:28,719 --> 00:52:31,520
Speaker 4: But I'm sorry that zyk. I don't like hearing you

1039
00:52:31,600 --> 00:52:33,040
Speaker 4: say that I don't.

1040
00:52:35,000 --> 00:52:35,680
Speaker 1: About my friend.

1041
00:52:36,280 --> 00:52:36,840
Speaker 4: Yeah, I do.

1042
00:52:39,160 --> 00:52:41,400
Speaker 1: But one thing open A. I had to walk back

1043
00:52:41,480 --> 00:52:44,040
Speaker 1: the claims that they I was designed to sound like

1044
00:52:44,160 --> 00:52:48,400
Speaker 1: Scarlett Johansson because obviously they get sued if they didn't.

1045
00:52:48,719 --> 00:52:52,279
Speaker 1: So they're like, we've had these voices forever. But yeah,

1046
00:52:52,480 --> 00:52:56,920
Speaker 1: it's that this is not just open aye. Like cyber Truck.

1047
00:52:57,320 --> 00:53:00,359
Speaker 1: Elon Musk was like, this is the truck from Blade Runner, right,

1048
00:53:00,440 --> 00:53:04,239
Speaker 1: which is like set in a depressing healthscape run on slavery.

1049
00:53:05,680 --> 00:53:05,880
Speaker 7: You know.

1050
00:53:06,120 --> 00:53:09,840
Speaker 2: He's like, yeah, but that's pretty tight, right, can robots consent?

1051
00:53:10,120 --> 00:53:10,359
Speaker 1: Whoa?

1052
00:53:10,440 --> 00:53:10,640
Speaker 5: Whoa?

1053
00:53:10,760 --> 00:53:12,400
Speaker 1: What the fuck did you get from the Here We Go.

1054
00:53:12,920 --> 00:53:18,000
Speaker 1: Yeah shit, metaverse is from all sorts of different sci

1055
00:53:18,120 --> 00:53:23,800
Speaker 1: fi universes, snow Crash being the most dystopian end upsetting,

1056
00:53:24,200 --> 00:53:27,160
Speaker 1: and now Her, which, like the movie Her ends with

1057
00:53:27,400 --> 00:53:31,480
Speaker 1: the protagonist realizing that he actually has to deal with

1058
00:53:31,560 --> 00:53:34,680
Speaker 1: the messiness of human relationships, and the AI is like

1059
00:53:34,880 --> 00:53:37,400
Speaker 1: abandoning humanity, right, I.

1060
00:53:37,440 --> 00:53:39,840
Speaker 2: Mean, if they should, they need to focus on like

1061
00:53:40,400 --> 00:53:43,799
Speaker 2: the cool shit I get, like the overarching themes from

1062
00:53:43,880 --> 00:53:46,680
Speaker 2: sci fi, but like one part was that I wish

1063
00:53:46,719 --> 00:53:48,680
Speaker 2: they could bring back are like the drugs from.

1064
00:53:48,600 --> 00:53:49,400
Speaker 1: Sci fi movies.

1065
00:53:49,560 --> 00:53:53,399
Speaker 2: Yeah, I dropped Report and he's like, oh, he wants

1066
00:53:53,400 --> 00:53:56,080
Speaker 2: some clarity, and I'm like, the fuck is that? And

1067
00:53:56,160 --> 00:53:59,000
Speaker 2: this dude was like fucking like watching his dead family

1068
00:53:59,080 --> 00:54:04,480
Speaker 2: and whole home video, like like, yo, let me see that.

1069
00:54:04,960 --> 00:54:08,040
Speaker 2: I don't need metaverse, but yeah, you know, I'll take

1070
00:54:08,080 --> 00:54:08,759
Speaker 2: I feel like a.

1071
00:54:08,800 --> 00:54:13,520
Speaker 1: Drug in Minority Report looked like a reverse Kazoo, Like

1072
00:54:13,640 --> 00:54:16,080
Speaker 1: it wasn't it like an inhale little inhale.

1073
00:54:15,920 --> 00:54:18,840
Speaker 2: Yeah yeah, yeah, yeah yeah, like it like kind of

1074
00:54:18,880 --> 00:54:19,879
Speaker 2: shot it in your mouth.

1075
00:54:20,239 --> 00:54:20,920
Speaker 1: I kind of like that.

1076
00:54:21,280 --> 00:54:22,680
Speaker 2: I want more eye dropper.

1077
00:54:22,480 --> 00:54:25,640
Speaker 1: Drugs that.

1078
00:54:28,000 --> 00:54:32,080
Speaker 4: I also carry a gun and poison. I just hate

1079
00:54:32,120 --> 00:54:32,560
Speaker 4: my life.

1080
00:54:32,880 --> 00:54:34,440
Speaker 1: Yeah, that's just in case I need to.

1081
00:54:35,760 --> 00:54:38,719
Speaker 2: Man, look at that. Oh man, I would my whole

1082
00:54:39,080 --> 00:54:41,600
Speaker 2: my teenage bedroom would have been filled to the pack,

1083
00:54:41,680 --> 00:54:46,719
Speaker 2: to the gills, was spent clarity inhalers Man.

1084
00:54:47,280 --> 00:54:50,920
Speaker 1: Well, yeah, kazoo mixed with like a little with a vape.

1085
00:54:51,080 --> 00:54:52,880
Speaker 1: I guess I guess we have those. They're called vapes.

1086
00:54:52,960 --> 00:54:54,320
Speaker 4: Oh, I guess they are just vapes.

1087
00:54:54,400 --> 00:55:00,920
Speaker 1: Yeah. Anyways, all right, that's gonna do it this week's

1088
00:55:01,200 --> 00:55:05,800
Speaker 1: weekly Zeichgeist. Please like and review the show If you like,

1089
00:55:06,080 --> 00:55:10,000
Speaker 1: the show means the world de Miles. He he needs

1090
00:55:10,040 --> 00:55:14,120
Speaker 1: your validation, folks. I hope you're having a great weekend

1091
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Speaker 1: and I will talk to you Monday. Bye.

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Speaker 8: Conder, doctor at a