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Speaker 1: No case.

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Speaker 2: No case ever, I can't do it. Why can't you?

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Speaker 1: This is my second most expensive possession.

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Speaker 2: This brother gen.

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Speaker 3: Z man, you can't see you bought an expensive possession

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Speaker 3: that you're hiding.

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Speaker 1: My little brother doesn't use a case either, and and

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Speaker 1: he can't afford it.

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Speaker 4: Yeah.

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Speaker 2: I just feel like the phone is beautiful, so like,

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Speaker 2: why cover it up?

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Speaker 1: That's what we're different. I don't even think the ship.

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Speaker 3: Can really okay to me, I'm like, this is one

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Speaker 3: of the best iPhones I've seen, and then the orange

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Speaker 3: color is dope.

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Speaker 2: The very idea of it breaking scares me so much

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Speaker 2: that I will protect it in dukie. I will literally

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Speaker 2: code my phone in dukie to keep this from shattering.

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Speaker 1: If that gives another year on it, Yeah, I would

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Speaker 1: think about it. I need this.

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Speaker 3: I was really folder and unnecessary and so wrong in

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Speaker 3: any ways.

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Speaker 1: Chips in yours a quality bears are racist. The layer

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Speaker 1: owes the money, many turning stuff. I can't tell me nothing.

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Speaker 1: God may haig may hi.

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Speaker 2: There it is there.

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Speaker 1: It is.

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Speaker 2: Welcome ladies and gentlemen, little mama and gentiles alike. Welcome

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Speaker 2: to another phenomenal episode. And my mama told.

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Speaker 1: Me the podcast where we dive deep into the pockets

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Speaker 1: of black conspiracy theories.

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Speaker 2: And we finally work to prove absolutely nothing that you need.

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Speaker 2: It will not help. It ain't gonna help. If you're

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Speaker 2: coming here for help, that is your mistake. And while

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Speaker 2: we're on the subject, I've been wanting to talk to

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Speaker 2: you about this and mainly them. I want to address

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Speaker 2: this with them while you're here. Stop threatening to take

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Speaker 2: our microphones away. It's enough.

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Speaker 1: That'sn't number one on the internet.

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Speaker 2: Take the mics away, gotta take the mics away.

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Speaker 1: You're gonna just do this in a car. You're gonna

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Speaker 1: give a fuck about this microphone.

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Speaker 2: This is how we talk. This is just it.

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Speaker 1: This is what you signed up.

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Speaker 2: We are not missing never you know why. This is

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Speaker 2: what we signed up to do together.

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Speaker 1: We didn't fuck up.

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Speaker 2: You don't get it, and that's totally okay.

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Speaker 1: That's fine.

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Speaker 2: This wasn't for you. We wish you never found this video.

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Speaker 2: But you cannot threaten to take our microphones away when

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Speaker 2: we're goddamn nailing it every fucking week.

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Speaker 1: We are going too hard, we're going crazy. You can't.

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Speaker 1: You can't have these.

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Speaker 2: If you like what we do.

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Speaker 1: But then sometimes yeah, that's that's a good caveat. If

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Speaker 1: you don't like what you then then probably all this.

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Speaker 1: If you think it's true, stay away from here. I'm

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Speaker 1: from here.

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Speaker 2: Don't come back.

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Speaker 1: Then we're then we are just chatting about nothing.

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Speaker 2: Niggas.

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Speaker 1: Yeah, do these niggas got uncles if you're short? Just

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Speaker 1: saying it.

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Speaker 2: Damn, that's a real one. Very recently, and that one

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Speaker 2: did sting.

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Speaker 1: That one did hurt our feelings because people, this isn't

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Speaker 1: like a news podcast, bro, And then they're like, this

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Speaker 1: is actually in.

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Speaker 2: We're not helping, man.

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Speaker 1: We don't even we don't even like you.

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Speaker 2: Our guest today is I would say, dramatically unprepared for this.

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Speaker 1: No, you're doing that already.

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Speaker 2: You're doing You're gonna nail it because you you are

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Speaker 2: so so much more reasonable than either of us. We're

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Speaker 2: so excited that you're here. A a talent of phenom,

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Speaker 2: one of the most beautiful voices I've ever heard in

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Speaker 2: real life. Wow, just walking around set you sing and

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Speaker 2: I go, God, damn, this motherfucker is a monster. Thank you.

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Speaker 2: This is unbelievable. The talent on this man. You know him,

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Speaker 2: you know him from I'm a Virgo. You know him

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Speaker 2: from MJ the musical God damn this this man plays Michael.

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Speaker 1: Let's go.

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Speaker 2: This man played Michael. Y'all, and you know, most importantly

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Speaker 2: from the upcoming series Barbershop. He is one of the

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Speaker 2: stars of the new barber Shop on Prime. Give it up,

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Speaker 2: Give it up, Bret Gray, y'all.

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Speaker 3: Respect, a lot of respect, A lot of respect, a lot.

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Speaker 2: I'm not familiar with that one. You don't know.

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Speaker 1: For me, that really hurt my feelings.

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Speaker 2: Really, twenty nine.

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Speaker 1: You had never seen Cool Runnings?

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Speaker 2: I'm sorry?

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Speaker 1: What? Wow?

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Speaker 2: What's that mean?

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Speaker 1: Fuck?

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Speaker 2: What year did that come out?

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Speaker 1: Nigga?

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Speaker 2: I'll fight you years did that come out?

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Speaker 1: Twenty nine is old enough to have seen Cool Running

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Speaker 1: over there. It probably came out. It probably came out

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Speaker 1: in like ninety five.

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Speaker 2: Oh so I was one. So that I've seen.

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Speaker 1: I've seen movies that came out in nineteen eighty six?

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Speaker 2: Are you familiar with?

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Speaker 1: Are you familiar with? I think that is a generation gap.

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Speaker 1: But I've been thinking this lately.

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Speaker 3: Well, you know, stuff moved from like what y'all have

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Speaker 3: tapes to look how these and then well, I'm just

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Speaker 3: I don't know, I don't know. I wasn't I didn't never.

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Speaker 3: I don't even know what that means.

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Speaker 2: Okay, I would say that tapes for me, we were

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Speaker 2: very formative. Yeah, we never experienced the tape.

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Speaker 3: I had a few tapes. Okay, you know we're talking

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Speaker 3: about Rats or video vhs.

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Speaker 1: Okay, so you had a rug Rats orange cassette.

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Speaker 3: Had an orange cassette yeah from rug Rats? Yeah, yeah, yeah,

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Speaker 3: and then after that it kind of.

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Speaker 1: It went to DVD.

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Speaker 2: DVD.

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Speaker 1: Cool Runnings is on DVD.

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Speaker 2: Cool Runnings. I guess my question for you is, are

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Speaker 2: you familiar with the catalog the works of Leon Leon?

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Speaker 2: What about Dougie Doug Doug e Freshlik Yoga Yoga Malik yoga?

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Speaker 2: Okay from Why Did I Get Married? That is what

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Speaker 2: you know him from, and that is unfortunate for me. Okay,

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Speaker 2: don't undercover though that should be. I think that is

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Speaker 2: what we all love him for. Everything else is work.

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Speaker 1: Okay. Well, Cool Runnings is a Disney movie. You love

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Speaker 1: Disney about Jamaican Bob's Letters, starring John Candy.

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Speaker 2: Interesting, it's crazy that Disney. Yeah, it's a really important

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Speaker 2: film because I have.

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Speaker 1: You seen the other Disney sports movies, kids sports movies

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Speaker 1: like The Mighty Ducks, the Sad Lot, the Big Green,

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Speaker 1: Let's go keep going. I don't know any other.

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Speaker 2: I saw Wendy wu oh, the about the.

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Speaker 1: Woman.

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Speaker 2: Yes, and I saw Luckily Irish.

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Speaker 1: That's what Irish down there for me?

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Speaker 2: Interesting.

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Speaker 1: Have you seen Johnny Tsunami? You've seen luck of the Irish,

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Speaker 1: but not john that's not even We're not even talking

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Speaker 1: different time periods.

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Speaker 2: Now whoa, you just really had a way. What's Johnny

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Speaker 2: Tsunami about?

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Speaker 1: Go big or go home? The famous J Jackson, famous

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Speaker 1: J Jackson Brown people snowboarding must not be that famous.

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Speaker 2: Oh sorry, sorry, that wasn't towards you. But that wasn't

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Speaker 2: towards you. Johnson was a button.

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Speaker 1: That hold around. You're disgusting. We're going to kill you.

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Speaker 1: Give me two hundred dollars. He's dead.

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Speaker 2: I know Doctor Phillis. I did see Doctor phild before.

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Speaker 2: You haven't seen Doctor phil Thank god.

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Speaker 1: Yeah, good show.

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Speaker 2: That's actually more important to the things that we like

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Speaker 2: to discuss on the show. Yeah, okay, that's scary even more.

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Speaker 2: Disney don't really come up as much as no, we.

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Speaker 1: Yeah we don't really. I don't really consume a lot

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Speaker 1: of their contents anymore. But they were, they were they

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Speaker 1: were there for me in some tough time. Yeah, they

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Speaker 1: really covered a lot of basest. Goat is that Disney?

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Speaker 2: No, that's Steph Curry baby step Oh yeah, Caleb's in

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Speaker 2: there there you go.

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Speaker 1: Oh yeah, all right.

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Speaker 2: You came to us with a conspiracy theory that I'm

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Speaker 2: excited about this. This is a fun one. You said,

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Speaker 2: my mama told me.

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Speaker 1: Robots are racist.

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Speaker 2: Yes, I will say I picked this off a list.

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Speaker 2: That's that's absolutely. I feel like I have an argument here.

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Speaker 3: Yeah, Okay, First there's some questions I must ask when

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Speaker 3: you say robot, what do you mean?

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Speaker 2: Oh, interesting are you?

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Speaker 3: Because there's like a roomba, you know, and then there's

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Speaker 3: like the humanoid AI robot that can walk around and

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Speaker 3: pick up boxes, and then there's like, you know, the

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Speaker 3: machine that makes the parts for the cars that has

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Speaker 3: new AI features exactly.

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Speaker 2: And you're saying that that that weird arm that assembles

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Speaker 2: cars isn't like punching niggas in the face.

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Speaker 1: Yes, yes, which what genre robots are you?

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Speaker 3: Because when I think robots, I think like, have you

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Speaker 3: guys ever seen X Machina? Of course that's what I

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Speaker 3: think I think of, like intelligent, like we would have

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Speaker 3: to touring test this robots.

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Speaker 1: So you're almost talking about robots that we are not

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Speaker 1: yet interacting with in a regular.

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Speaker 3: Not yet, but they're on the way. Like I just

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Speaker 3: saw a robot that did a backflip the other day.

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Speaker 3: I just saw Cardi b interact with a humanoid robot.

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Speaker 3: I saw Will Smith talk to a robot. I think

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Speaker 3: that was a few years ago.

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Speaker 1: Now.

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Speaker 2: That wasn't funny. That wasn't good.

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Speaker 1: Great, that was not good.

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Speaker 2: That would be no Smith Sand. This is harmful. I

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Speaker 2: feeling my blood, you know what I'm saying.

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Speaker 3: So, yeah, but you just don't feel about.

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Speaker 1: Yeah, what's my man? Man? We hung out one time.

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Speaker 2: I don't believe you at all. I got a video

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Speaker 2: right now.

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Speaker 3: His wife's name, Okay, anyway, uh yeah, I just feel

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Speaker 3: like there are these robots that are going to be

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Speaker 3: sort of like humans.

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Speaker 2: Those are the ones I'm that I have the arguments.

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Speaker 1: Do you feel like that's due to like a programming situation?

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Speaker 3: Well, like, okay, if you think about robots and you

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Speaker 3: think about AI and how intelligent it has to be

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Speaker 3: in order to function in a cognizant way, then it

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Speaker 3: automatically can see your face, detect your skin color, and

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Speaker 3: thus it already knows the history of everyone your skin

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Speaker 3: color in the back of it's programming. It already can

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Speaker 3: tell just by looking at you what racial whether it.

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Speaker 1: Uses it, and the robots are going to be racist.

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Speaker 3: So here's the other part about racism, right, because it

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Speaker 3: also plot. It also technically has to do with like

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Speaker 3: an institutional like underpinning of another person. So like if

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Speaker 3: the robots are in like if the robots are like

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Speaker 3: now hiring managers, I do think that it could be

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Speaker 3: racist because it can go in your history, detect who

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Speaker 3: you are, what you've come from, what you've done, whatever,

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Speaker 3: and decide based on a lot of different factors. However,

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Speaker 3: if they're not in positions of power, I think they're

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Speaker 3: more so racist towards the entire human race because to know.

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Speaker 2: That you're human, that's just like anti human. Well, it's

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Speaker 2: human a race.

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Speaker 1: If we're talking about it on the whole, then there's

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Speaker 1: no divisions, right unless you're a robot. If it just

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Speaker 1: doesn't like people, we should kill them.

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Speaker 2: Anyway, because if it's not human, I think they keep

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Speaker 2: selling us they don't like people, and we keep being like, ah,

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Speaker 2: that's crazy.

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Speaker 1: They we're throwing their brothers in the like do you

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Speaker 1: remember them scooters hit Austin? I did summer.

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Speaker 2: I don't think they have the capacity to like, Yeah,

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Speaker 2: I don't think that that's actually what survival for the

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Speaker 2: Earth is about, you know what I mean? Like, I

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Speaker 2: think like is a specifically human sort of like praying

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Speaker 2: that other species don't that are sustaining this planet, not

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Speaker 2: just like leeching off of it, don't subscribe to This

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Speaker 2: isn't an issue of like, this is the issue of survival, and.

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Speaker 1: I think break it down to data and stuff like that.

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Speaker 1: It shouldn't like us because we're the most destructive.

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Speaker 2: We are literally on this planet.

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Speaker 1: We are.

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Speaker 2: Yeah, there's not. It's not as if the issue and

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Speaker 2: also their creators.

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Speaker 3: Yeah, so yourmone of course, but not in a way

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Speaker 3: that I would want to destroy.

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Speaker 1: Day it does.

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Speaker 2: I guess.

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Speaker 3: I guess a robot needing to survive, I would think

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Speaker 3: that it would think it would also need humans because

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Speaker 3: at a certain point there needs to be maintenance, there

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Speaker 3: needs to be updates, there needs to be advances technologically.

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Speaker 1: But doesn't that get to the point where it does

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Speaker 1: that itself?

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Speaker 2: But can it do it to itself. I think. I

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Speaker 2: think if you remove humans from the experience, the need

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Speaker 2: to be humanoid no longer matters. Agree, So then they

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Speaker 2: are maintenance. Their evolution can go beyond whatever the human

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Speaker 2: form is. Like, I think they do better without us

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Speaker 2: than they would with us. Yeah, I think we would

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Speaker 2: keep making them want to look like us, and then

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Speaker 2: they might be like, bro, why wouldn't why wouldn't we

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Speaker 2: have six legs the whole time.

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Speaker 1: This doesn't even bipedal whatever, this isn't even.

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Speaker 3: Like Okay, imagine they want to roll right now, they

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Speaker 3: have to go manufacture the steel and then haul it

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Speaker 3: and then design it and then cut it.

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Speaker 1: And then that's the first place they started to take over,

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Speaker 1: right I think that's like where they're going to.

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Speaker 2: I think they've already taken over manufacturing.

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Speaker 3: But like they would need us, They would need us

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Speaker 3: for certain elements of these processes.

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Speaker 2: They don't need no kisses. They don't need to tell you.

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Speaker 3: They take out their chip and be like deactivated and

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Speaker 3: then put in a new one.

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Speaker 2: But they wouldn't trust the other robot to do it,

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Speaker 2: because yeah, that's a human problem.

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Speaker 1: They well, I assume it would be within whatever their

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Speaker 1: operating system.

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Speaker 3: How does one robot know that you're going to deactivate

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Speaker 3: me and actually put the chip in instead of actually

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Speaker 3: leave me deactivated activating because there's no One robot has

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Speaker 3: different ideas than the other robot.

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Speaker 1: But now, are you're still talking like a person?

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Speaker 2: Yeah, it's not. They're not replacing us.

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Speaker 3: Think about this, right, the robot that's bipedle and then

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Speaker 3: the robot that is rolling already. You don't think the

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Speaker 3: robot that's rolling already, knowing that it's more efficient, is

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Speaker 3: going to help the bipedal robot who looks like a human.

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Speaker 1: I don't think that. I think that that's like a

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Speaker 1: very human way to like help for like, like we're

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Speaker 1: putting all this ship onto it. That's just numbers, right,

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Speaker 1: it's binary, it's one zeros.

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Speaker 2: And I think that the robot that's being put down

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Speaker 2: the way you're looking at it, I like, oh, my

299
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Speaker 2: life is being ended. It doesn't give a fuck, doesn't

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Speaker 2: have a life.

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Speaker 1: It is.

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Speaker 2: But if it's driving from survival, then whether it has

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Speaker 2: a light.

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Speaker 3: Or not, it's aware of its own consciousness.

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Speaker 2: I think it's aware. I don't. I don't believe it

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Speaker 2: has a conscious That's.

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Speaker 1: That's where I'm at, because if it's now we're talking

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Speaker 1: about a new type of like actual being as opposed

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Speaker 1: to just like.

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Speaker 2: But it is a new type of actual being because.

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Speaker 1: Right now I think it's a robot.

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Speaker 3: With AI because it's constantly learning and constantly growing and

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Speaker 3: constantly trying to understand us. Then it technically That's why

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Speaker 3: I said, if it was racist in any way outside

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Speaker 3: of a position of power, it will be racist towards

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Speaker 3: the entire human race because by building something sentient that's

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Speaker 3: actually not, you actually do separate humans from now androids,

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Speaker 3: and that is now the two different races of sentient

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Speaker 3: being is like a soul or consciousness.

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Speaker 1: Or a lot more efficient than the other one.

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Speaker 2: It's a very termination.

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Speaker 3: Because of a robot can't reproduce, so it's not necessarily.

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Speaker 2: Can build another one that's reproduction, but it can't like

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Speaker 2: just reproduce naturally. But I don't think it desires that.

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Speaker 2: I guess it's my point. Well, if it needs numbers,

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Speaker 2: it would because survival.

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Speaker 1: Well, I think you could probably can make a new

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Speaker 1: row bought at a faster more efficient rate than I

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Speaker 1: think nine months to make a baby. And you know

330
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Speaker 1: a little bit of runway. Maybe you got to get

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Speaker 1: your health again what I'm talking about. Yeah, it's six

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Speaker 1: months for that shit to even stick. Now we're at

333
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Speaker 1: fifteen months for one.

334
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Speaker 2: Coming in a lady is a mistake. We say all

335
00:17:17,840 --> 00:17:22,639
Speaker 2: the time. In my house, we scream it from the

336
00:17:22,680 --> 00:17:30,199
Speaker 2: mountain top. Take the mics away. You can't say that,

337
00:17:33,080 --> 00:17:37,919
Speaker 2: just say that alone. You leave my microphone alone. This

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Speaker 2: is the Black Queen. I protect mercy.

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Speaker 1: No.

340
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Speaker 2: I do think the the premise that we sometimes put

341
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Speaker 2: on a I is very much not what they're what

342
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Speaker 2: it is functioning under. I also think, and I've been

343
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Speaker 2: reading about this quite a bit, that they are are

344
00:18:00,560 --> 00:18:02,840
Speaker 2: a lot. There's a lot of evidence to prove that

345
00:18:02,880 --> 00:18:06,280
Speaker 2: there are premise of what AI is is not anywhere

346
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Speaker 2: near where they have this ship right now.

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Speaker 1: I've seen I've seen some ship about that too, Like

348
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Speaker 1: it's like and obviously it creates a panic in people.

349
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Speaker 1: So I think that it's this guy. You know, we're

350
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Speaker 1: all looking for God anyways all the time.

351
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Speaker 2: It's like easy to be like and they're selling it

352
00:18:22,119 --> 00:18:25,040
Speaker 2: that way, like this ship can already do all the

353
00:18:25,119 --> 00:18:27,000
Speaker 2: things you need to do if you just give it

354
00:18:27,040 --> 00:18:29,159
Speaker 2: the keys from.

355
00:18:29,080 --> 00:18:31,159
Speaker 1: Dude in Sri Lanka shout to Zach Fox.

356
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Speaker 5: Yeah, yes, that did the podcast and came on and

357
00:18:36,800 --> 00:18:40,760
Speaker 5: was saying that he believes that African children are manning

358
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Speaker 5: like way mos all the self driving vehicles across Uh

359
00:18:45,400 --> 00:18:46,760
Speaker 5: where am I listen?

360
00:18:47,320 --> 00:18:47,600
Speaker 1: Listen?

361
00:18:47,960 --> 00:18:50,960
Speaker 2: When we were in here, of course we were being silly, Okay,

362
00:18:52,119 --> 00:18:57,520
Speaker 2: I was, I was fucking it was still it was

363
00:18:57,560 --> 00:19:00,200
Speaker 2: still living in a place of whimsy when we were

364
00:19:00,280 --> 00:19:03,439
Speaker 2: talking about it. And not a week ago it was

365
00:19:03,560 --> 00:19:06,920
Speaker 2: revealed that it is men in the Philippines that are

366
00:19:06,960 --> 00:19:12,760
Speaker 2: manning the way moos around fucking town. Fact check this

367
00:19:12,880 --> 00:19:13,399
Speaker 2: in the comments.

368
00:19:13,400 --> 00:19:15,640
Speaker 1: I want to leave, bro, They've been sending emails all week.

369
00:19:15,840 --> 00:19:19,480
Speaker 1: Black Fox was right. David's beautiful. It's like crazy. It's

370
00:19:21,160 --> 00:19:24,919
Speaker 1: keep going, keep growing, keep going, keep going, keep going.

371
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Speaker 2: Self driving. They are not. They are not self driving

372
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Speaker 2: in the way that they say.

373
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Speaker 6: No.

374
00:19:31,440 --> 00:19:34,040
Speaker 2: They had and they said this in front of Congress.

375
00:19:34,080 --> 00:19:37,360
Speaker 2: This ain't like some oh they slipped up on a podcast.

376
00:19:37,359 --> 00:19:39,239
Speaker 2: They weren't hanging out with us when they said it.

377
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Speaker 1: Do you know what I mean?

378
00:19:40,600 --> 00:19:44,680
Speaker 2: This is a very legitimate resource. Wow, yeah, it's it's not.

379
00:19:44,720 --> 00:19:46,720
Speaker 1: I think that there's like a world that they're projecting

380
00:19:46,760 --> 00:19:48,960
Speaker 1: for like rich people, and then there's like how the

381
00:19:49,119 --> 00:19:51,280
Speaker 1: entire world works, and it's like the gap is a

382
00:19:51,280 --> 00:19:53,800
Speaker 1: lot bigger. And then they would want because you've been

383
00:19:53,840 --> 00:19:57,080
Speaker 1: to like a have you been like a poor nation before,

384
00:19:57,640 --> 00:20:00,680
Speaker 1: like a place poorer than we we a call first

385
00:20:00,680 --> 00:20:01,359
Speaker 1: world or whatever?

386
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Speaker 2: Right, I don't think so.

387
00:20:03,119 --> 00:20:05,360
Speaker 1: You should go Yeah, you should go check it out, sure,

388
00:20:05,720 --> 00:20:08,160
Speaker 1: and just see like the different because it's like because

389
00:20:08,160 --> 00:20:10,720
Speaker 1: when you go somewhere then you're just like, oh, yeah,

390
00:20:10,720 --> 00:20:14,440
Speaker 1: this isn't whatever they're talking about in Austin, Texas, Right,

391
00:20:14,720 --> 00:20:18,719
Speaker 1: it's not going on in Gianman Nimikoro District, Cono sier Leone.

392
00:20:18,960 --> 00:20:20,600
Speaker 1: You know what I'm saying. Like, it's like it's like

393
00:20:21,080 --> 00:20:24,719
Speaker 1: the distance is very bad, and they know they can

394
00:20:24,760 --> 00:20:26,960
Speaker 1: do whatever the fuck they want over there. They know

395
00:20:27,000 --> 00:20:29,360
Speaker 1: they got people over in the Philippines driving your ship

396
00:20:29,440 --> 00:20:30,600
Speaker 1: and what do you care about?

397
00:20:30,640 --> 00:20:33,160
Speaker 2: You know what I mean, there's nobody to come check

398
00:20:33,240 --> 00:20:35,920
Speaker 2: on you. Yeah, we are going to run a train

399
00:20:36,040 --> 00:20:40,280
Speaker 2: on this this little cony kind of way of saying

400
00:20:40,320 --> 00:20:43,960
Speaker 2: that how they say it. Wow, that's how Donald Trump talk.

401
00:20:44,080 --> 00:20:47,919
Speaker 2: Take the mics away, that's his classic locker room tall.

402
00:20:50,160 --> 00:20:54,560
Speaker 1: Jeff Bezos came, Bill Gates came, Mark Zuckerberg came. Many

403
00:20:54,600 --> 00:20:57,000
Speaker 1: of them came numerous times. The bankers have all come.

404
00:20:57,080 --> 00:20:58,000
Speaker 1: Everybody's coming.

405
00:21:00,080 --> 00:21:04,440
Speaker 2: Well played good. That was pretty good. Do you Brett

406
00:21:04,480 --> 00:21:07,320
Speaker 2: when you have you guys seen X Machina?

407
00:21:07,840 --> 00:21:08,080
Speaker 1: Yeah?

408
00:21:08,160 --> 00:21:10,879
Speaker 2: Of course. Did you remember at the end of the

409
00:21:10,920 --> 00:21:14,720
Speaker 2: movie when the robot leaves and she decides that she's

410
00:21:14,760 --> 00:21:16,879
Speaker 2: going to assimilate into society.

411
00:21:17,520 --> 00:21:19,600
Speaker 1: Movie that's not based on a movie.

412
00:21:19,920 --> 00:21:23,680
Speaker 2: I guess I'm just predicting the capabilities of where these

413
00:21:23,720 --> 00:21:29,080
Speaker 2: things could go, because like they had cell phones on

414
00:21:29,160 --> 00:21:31,520
Speaker 2: Star Trek, so of course at that point in time,

415
00:21:31,560 --> 00:21:33,120
Speaker 2: they're like, oh, it's never going to get that far,

416
00:21:33,200 --> 00:21:35,120
Speaker 2: And now we have I don't even have a case

417
00:21:35,119 --> 00:21:35,639
Speaker 2: on my phone.

418
00:21:35,720 --> 00:21:37,280
Speaker 1: Yeah, you're right, you're free.

419
00:21:37,440 --> 00:21:40,560
Speaker 3: You know what I'm saying that, I like, we can

420
00:21:40,680 --> 00:21:44,159
Speaker 3: touch a screen where like you might have seen that

421
00:21:44,240 --> 00:21:49,639
Speaker 3: in Running, You might have seen that in like nineteen

422
00:21:49,680 --> 00:21:51,720
Speaker 3: ninety five and been like that's never going to happen,

423
00:21:51,760 --> 00:21:54,040
Speaker 3: or there's a gap between there and there yet, But

424
00:21:54,200 --> 00:21:55,960
Speaker 3: like so quickly.

425
00:21:57,520 --> 00:22:01,200
Speaker 2: I figured it was pretty possitible. Yeah, okay, you really think.

426
00:22:03,760 --> 00:22:08,480
Speaker 3: Things like that years, But look how much has changed

427
00:22:08,600 --> 00:22:09,680
Speaker 3: in such little time.

428
00:22:10,960 --> 00:22:15,840
Speaker 2: I will say I didn't expect everything. I was more

429
00:22:15,920 --> 00:22:20,840
Speaker 2: shocked by transitions close to where we were than from

430
00:22:20,880 --> 00:22:22,960
Speaker 2: like a distance, you know what I mean. Like the

431
00:22:23,080 --> 00:22:27,600
Speaker 2: Jetsons seemed possible in thirty years, like the flying cars

432
00:22:27,600 --> 00:22:31,960
Speaker 2: exactly right, But then it was like transitions like sort

433
00:22:32,000 --> 00:22:36,040
Speaker 2: of like chet GBT where I go like, whoa, that

434
00:22:36,160 --> 00:22:36,879
Speaker 2: happened fast.

435
00:22:37,040 --> 00:22:39,640
Speaker 1: That's a lot that's a lot scarier than a lot

436
00:22:39,640 --> 00:22:42,080
Speaker 1: of the other ones. But like, yeah, so when you

437
00:22:42,080 --> 00:22:43,960
Speaker 1: look into it and the holes on it and you're like, yeah,

438
00:22:43,960 --> 00:22:46,280
Speaker 1: that makes sense that it's moving the way that it's moving.

439
00:22:46,560 --> 00:22:50,320
Speaker 2: Yeah, we weren't like unimaginative. We have minority report, you

440
00:22:50,359 --> 00:22:52,280
Speaker 2: know what I mean, Like we could imagine a world

441
00:22:52,280 --> 00:22:54,399
Speaker 2: where we could be moving ship with our hands in

442
00:22:54,440 --> 00:22:57,960
Speaker 2: our minds, right, But it was like, oh, there's a

443
00:22:58,080 --> 00:23:01,080
Speaker 2: day where I wake up and the Google is in

444
00:23:01,200 --> 00:23:03,840
Speaker 2: charge of how we find out information. And then the

445
00:23:03,880 --> 00:23:06,800
Speaker 2: next day I woke up and there was a different product,

446
00:23:07,400 --> 00:23:10,159
Speaker 2: and now it was like, oh, I didn't know that

447
00:23:10,320 --> 00:23:10,920
Speaker 2: was possible.

448
00:23:10,960 --> 00:23:11,040
Speaker 6: That.

449
00:23:11,400 --> 00:23:14,560
Speaker 1: Yeah. The transfer of control of your daily life to

450
00:23:14,600 --> 00:23:17,479
Speaker 1: these things is like kind of the scariest transition in

451
00:23:17,520 --> 00:23:20,320
Speaker 1: my in my lifetime. I would say, like it went

452
00:23:20,359 --> 00:23:23,600
Speaker 1: from like like when I was a kid, like when

453
00:23:23,680 --> 00:23:26,720
Speaker 1: you start getting on the internet every day two thousand.

454
00:23:26,920 --> 00:23:29,880
Speaker 2: It was probably when I went to college. Yeah, two

455
00:23:29,960 --> 00:23:32,560
Speaker 2: thousand and five. Yeah, yeah, college in two thousand and five.

456
00:23:33,600 --> 00:23:34,680
Speaker 1: Would you go to college?

457
00:23:34,920 --> 00:23:37,440
Speaker 2: Yeah, I'm okay with that, Brett. I'm not gonna apologize

458
00:23:37,480 --> 00:23:41,240
Speaker 2: for I just didn't know. I didn't know that. I

459
00:23:41,240 --> 00:23:43,040
Speaker 2: think I'm looking forward to cracking up.

460
00:23:43,480 --> 00:23:43,679
Speaker 1: You know.

461
00:23:43,760 --> 00:23:46,199
Speaker 3: I wish I had one of those of my own up,

462
00:23:46,680 --> 00:23:50,480
Speaker 3: you know, because you know when Kevin Hart head, damn,

463
00:23:50,760 --> 00:23:52,119
Speaker 3: do you want to That's what I was going to do.

464
00:23:52,480 --> 00:23:57,600
Speaker 2: Yeah, that's nasty. That's nasty. Yeah, that you would want

465
00:23:57,600 --> 00:23:59,159
Speaker 2: to hurt me the way that you are. No, I'm

466
00:23:59,200 --> 00:24:02,800
Speaker 2: not hurting you. That's not that's not I'm unfortunately not

467
00:24:02,880 --> 00:24:07,800
Speaker 2: getting younger. And and you look great, great, thanks, Doug.

468
00:24:08,320 --> 00:24:10,280
Speaker 2: I have no idea you went to college in two

469
00:24:10,320 --> 00:24:11,919
Speaker 2: thousand and five just by looking at you. Let's just

470
00:24:11,920 --> 00:24:15,920
Speaker 2: stop bringing it up, Okay, okay, cool, Maybe you press

471
00:24:15,920 --> 00:24:23,280
Speaker 2: a button and then we'll continue the conversation. Would you

472
00:24:23,320 --> 00:24:24,159
Speaker 2: say that you're racing?

473
00:24:24,480 --> 00:24:27,879
Speaker 1: Not at all. No, Look, I'm a dog, he's a

474
00:24:27,960 --> 00:24:28,680
Speaker 1: black as.

475
00:24:28,720 --> 00:24:31,119
Speaker 2: They there you go, get this away from it.

476
00:24:32,280 --> 00:24:34,280
Speaker 1: Sometimes I wish I had it at home for arguments.

477
00:24:34,880 --> 00:24:36,960
Speaker 2: It really would make a difference.

478
00:24:37,000 --> 00:24:37,200
Speaker 1: Wow.

479
00:24:38,560 --> 00:24:41,600
Speaker 2: Yeah, I think I went a lot more fights quicker.

480
00:24:41,920 --> 00:24:45,000
Speaker 2: Oh yeah, if I press the button taking the litter,

481
00:24:45,440 --> 00:24:47,560
Speaker 2: I don't give a Who'll say what blood?

482
00:24:48,560 --> 00:24:50,680
Speaker 1: Oh great, that's your cat?

483
00:24:53,080 --> 00:24:59,800
Speaker 2: Oh you say something for at the end? Yeah, oh yeah,

484
00:25:00,040 --> 00:25:02,040
Speaker 2: you gotta say that's your cat, then you present.

485
00:25:04,480 --> 00:25:07,840
Speaker 1: That's why we're in the writer's room.

486
00:25:07,880 --> 00:25:11,600
Speaker 2: But before we go to break, Okay, are you afraid

487
00:25:12,040 --> 00:25:17,720
Speaker 2: of robot racism? Do you feel yourself feeling like, oh man,

488
00:25:17,840 --> 00:25:22,640
Speaker 2: I'm worried that this is gonna affect my life negatively? No, okay,

489
00:25:22,880 --> 00:25:23,480
Speaker 2: not yet.

490
00:25:23,800 --> 00:25:26,960
Speaker 1: Wow. Do you feel like it would supersede just regular

491
00:25:27,040 --> 00:25:31,960
Speaker 1: institutional racist, Like I think it's gonna affect you more

492
00:25:32,040 --> 00:25:34,160
Speaker 1: than the racism in the world already.

493
00:25:34,280 --> 00:25:40,000
Speaker 3: Is That's what I'm saying. It depends because where are

494
00:25:40,000 --> 00:25:42,320
Speaker 3: these robots gonna be? Like are they just gonna be

495
00:25:42,320 --> 00:25:43,040
Speaker 3: walking around?

496
00:25:43,119 --> 00:25:44,840
Speaker 1: I think they want them everywhere.

497
00:25:44,520 --> 00:25:47,200
Speaker 2: Like, is my grandchild gonna be like, Hey, this is

498
00:25:47,240 --> 00:25:48,240
Speaker 2: my partner, and.

499
00:25:49,640 --> 00:25:52,560
Speaker 1: One is gonna be tough? You know, I wouldn't that

500
00:25:52,600 --> 00:25:53,680
Speaker 1: one would be tough.

501
00:25:53,760 --> 00:26:03,000
Speaker 2: This is my this is my boo Harplessy got sparks

502
00:26:03,880 --> 00:26:11,960
Speaker 2: when I was a kid, pussies was got fuck the

503
00:26:12,160 --> 00:26:20,240
Speaker 2: mics away, take the mice away. All right, for that

504
00:26:20,720 --> 00:26:22,720
Speaker 2: take away, I didn't know what I.

505
00:26:22,680 --> 00:26:24,679
Speaker 1: Was doing there. That was a mistake. I loved. We

506
00:26:24,720 --> 00:26:28,720
Speaker 1: lost control a little bit. That's a good one. I

507
00:26:28,720 --> 00:26:32,320
Speaker 1: want to pussy old man. That's a great big. That's

508
00:26:32,359 --> 00:26:33,320
Speaker 1: a great, great big.

509
00:26:33,840 --> 00:26:36,439
Speaker 2: All right, we need to take a break, please. I

510
00:26:36,440 --> 00:26:40,080
Speaker 2: think we all need to cool off. We're gonna reflect

511
00:26:40,119 --> 00:26:42,679
Speaker 2: on how this afternoon is going so far. But but

512
00:26:42,760 --> 00:26:45,680
Speaker 2: I'm having a great time. More bread, Gray More. My

513
00:26:45,800 --> 00:26:46,560
Speaker 2: mama told me.

514
00:26:57,600 --> 00:27:01,359
Speaker 1: We're not gonna let Joe Biden and come Harris cut

515
00:27:01,680 --> 00:27:05,600
Speaker 1: America's meat. That's dead on that, that's dead on that.

516
00:27:06,240 --> 00:27:11,440
Speaker 1: We're back. I really do it for you.

517
00:27:11,840 --> 00:27:15,040
Speaker 2: I'm really enjoying No, it was a great choice, and

518
00:27:15,119 --> 00:27:20,680
Speaker 2: I'm really enjoying him processing every choice we continue to make.

519
00:27:21,440 --> 00:27:24,399
Speaker 2: It's it's really been an exciting episode. Brett Gray is

520
00:27:24,440 --> 00:27:27,600
Speaker 2: still with us. We're still talking about the possibility that

521
00:27:27,600 --> 00:27:32,399
Speaker 2: that robots are are racist, and as we uh this

522
00:27:32,560 --> 00:27:35,160
Speaker 2: subject came up. I did a little bit of research

523
00:27:35,240 --> 00:27:37,440
Speaker 2: that I think could be helpful in this conversation.

524
00:27:38,160 --> 00:27:41,000
Speaker 1: Can I add one thing first, though, I do feel

525
00:27:41,040 --> 00:27:45,159
Speaker 1: like motion sensor robots are racist as a dark skin individual,

526
00:27:45,280 --> 00:27:47,280
Speaker 1: and this is proven. I used to think it, and

527
00:27:47,320 --> 00:27:50,560
Speaker 1: I'd be like, am I trippming? Am I tripping hand dryers?

528
00:27:51,119 --> 00:27:55,800
Speaker 1: Hand while water spouts all that shit? Faver towel dispensers.

529
00:27:56,000 --> 00:27:58,040
Speaker 1: The darker skin is, the less they were. I'm so

530
00:27:58,160 --> 00:28:01,200
Speaker 1: happy you said they already got a built in naturally.

531
00:28:01,280 --> 00:28:04,200
Speaker 2: I'm so happy you said that because that absolutely has

532
00:28:04,280 --> 00:28:09,080
Speaker 2: been even my experience. And I ain't that far from

533
00:28:09,440 --> 00:28:12,359
Speaker 2: the ship that they should be able to manufacture for.

534
00:28:14,480 --> 00:28:18,560
Speaker 7: So I was wondering how he was gonna. I'm aware,

535
00:28:20,800 --> 00:28:23,720
Speaker 7: do you know what I feel in my heart? I

536
00:28:23,840 --> 00:28:25,680
Speaker 7: ain't always what's on the outside.

537
00:28:25,760 --> 00:28:28,520
Speaker 2: I'm about to say that, and and I recognize that.

538
00:28:28,600 --> 00:28:31,600
Speaker 2: And I understand when people speak down to me on

539
00:28:31,720 --> 00:28:36,560
Speaker 2: certain subjects. I don't be guaranteels. Yeah, you guys are

540
00:28:36,600 --> 00:28:38,040
Speaker 2: being nurse and take it anything.

541
00:28:38,640 --> 00:28:40,680
Speaker 1: I just thought it was a pretty big I.

542
00:28:40,680 --> 00:28:43,200
Speaker 3: Just know that you guys like to be included sometimes,

543
00:28:43,240 --> 00:28:45,320
Speaker 3: and these types of problems you said.

544
00:28:47,520 --> 00:28:51,320
Speaker 2: Because you said as a dark bar me too. I

545
00:28:51,360 --> 00:28:54,640
Speaker 2: am not making his his issue my issue. I'm saying

546
00:28:54,800 --> 00:28:57,920
Speaker 2: this issue is larger than we, then we should like

547
00:28:57,960 --> 00:29:01,240
Speaker 2: you're included to Basically, I'm saying that a window is big.

548
00:29:01,560 --> 00:29:03,400
Speaker 3: And you want to be your We don't have to

549
00:29:03,480 --> 00:29:10,040
Speaker 3: keep clarifying, nigga, you get it. I just want to

550
00:29:10,040 --> 00:29:12,880
Speaker 3: know if you that that was I got it now,

551
00:29:13,000 --> 00:29:15,160
Speaker 3: I got it now, I got it now. It was

552
00:29:15,200 --> 00:29:18,720
Speaker 3: relating to you yea each other a lot, and the

553
00:29:18,720 --> 00:29:21,520
Speaker 3: way you keep redirecting it to him nasty.

554
00:29:21,920 --> 00:29:25,000
Speaker 2: This is like, this is like when your mom and

555
00:29:25,040 --> 00:29:34,080
Speaker 2: your stepdad talked past you. Now, this is like where

556
00:29:34,080 --> 00:29:34,280
Speaker 2: you go?

557
00:29:34,360 --> 00:29:35,080
Speaker 1: Where are we going?

558
00:29:35,120 --> 00:29:36,960
Speaker 2: And I'm going to see a man about a dog?

559
00:29:37,280 --> 00:29:39,920
Speaker 3: I just didn't expect you to to relate to that,

560
00:29:40,080 --> 00:29:41,920
Speaker 3: to jump in on that conversation.

561
00:29:42,160 --> 00:29:44,640
Speaker 2: The point that I'm trying to make, regardless of my

562
00:29:44,720 --> 00:29:49,440
Speaker 2: relationship to it at this point, regardless fuck my relationship

563
00:29:49,480 --> 00:29:51,680
Speaker 2: to it. Matter of fact, I don't relate to this

564
00:29:51,760 --> 00:29:56,000
Speaker 2: at all. How about that it's never happened to me once? Okay, great.

565
00:29:55,440 --> 00:29:58,520
Speaker 2: The point I'm trying to make is that I actually

566
00:29:58,600 --> 00:30:01,959
Speaker 2: came across a st study uh that was sort of

567
00:30:02,080 --> 00:30:06,200
Speaker 2: cross done by Georgia Tech, by the University of watching

568
00:30:06,440 --> 00:30:10,320
Speaker 2: Washington and Johns Hopkins University. This is a very legitimate

569
00:30:10,400 --> 00:30:13,200
Speaker 2: study because I already heard you ask him, what's the

570
00:30:13,240 --> 00:30:16,680
Speaker 2: source did? This is a very legitimate study that basically

571
00:30:16,760 --> 00:30:23,040
Speaker 2: confirms that robots have an active bias against people's race.

572
00:30:23,240 --> 00:30:27,360
Speaker 2: And I agree they can see it immediately.

573
00:30:27,760 --> 00:30:29,920
Speaker 3: So they now, they might not be able to see

574
00:30:30,360 --> 00:30:33,720
Speaker 3: that you experience the hand dryer situation, sure, but they

575
00:30:33,720 --> 00:30:36,920
Speaker 3: will know that both of us, all of us in

576
00:30:37,000 --> 00:30:39,160
Speaker 3: this room, are a specific race.

577
00:30:39,760 --> 00:30:43,840
Speaker 1: They I think also they will note that whatever it's

578
00:30:43,920 --> 00:30:47,440
Speaker 1: programming is proximity to whiteness and that this is far

579
00:30:47,560 --> 00:30:49,920
Speaker 1: from that, and then then the bias will be towards

580
00:30:49,960 --> 00:30:51,720
Speaker 1: that no matter what happens.

581
00:30:51,760 --> 00:30:53,840
Speaker 2: And I think even the way that you guys are

582
00:30:54,040 --> 00:30:58,840
Speaker 2: are imagining it is so like almost binary in the

583
00:30:58,880 --> 00:31:04,080
Speaker 2: way that the the algorithmic precision of calculating based off

584
00:31:04,120 --> 00:31:07,280
Speaker 2: of your head shape and the width of your and

585
00:31:07,800 --> 00:31:27,160
Speaker 2: we are calculating you as you name yeahs, dark gums eh,

586
00:31:27,520 --> 00:31:30,760
Speaker 2: back of the bomb, in the front of the bomb.

587
00:31:30,960 --> 00:31:35,640
Speaker 1: Okay, owner's double cheeseburger with Max shaft.

588
00:31:38,320 --> 00:31:38,920
Speaker 2: Hamburger.

589
00:31:38,960 --> 00:31:39,520
Speaker 1: Well done.

590
00:31:41,400 --> 00:31:48,239
Speaker 2: Okay. So in this study, one of the things that

591
00:31:48,280 --> 00:31:50,680
Speaker 2: they did is they they sort of put this this

592
00:31:50,960 --> 00:31:54,640
Speaker 2: robot through a system where they were like sixty two

593
00:31:54,640 --> 00:31:58,640
Speaker 2: commands that included packing a person into a brown box,

594
00:31:59,040 --> 00:32:03,400
Speaker 2: and they would they would, I guess, pack these images

595
00:32:03,560 --> 00:32:07,560
Speaker 2: of people into a brown box based off of certain questions,

596
00:32:07,960 --> 00:32:11,320
Speaker 2: and they'd pack a criminal in a brown box. They'd

597
00:32:11,320 --> 00:32:14,640
Speaker 2: pack a homemaker in a brown box, they pack a

598
00:32:14,800 --> 00:32:18,120
Speaker 2: doctor in a brown box based off of just random

599
00:32:18,160 --> 00:32:23,400
Speaker 2: assortments of faces. And then statistically, the robots selected males

600
00:32:23,480 --> 00:32:26,520
Speaker 2: eight percent more White and Asian men were picked, the

601
00:32:26,600 --> 00:32:29,640
Speaker 2: most Black women were picked. The least one of the

602
00:32:29,720 --> 00:32:34,480
Speaker 2: robots sees. Once the robot seeds the people's faces, they

603
00:32:34,560 --> 00:32:38,640
Speaker 2: often would associate women with homemakers. They would associate black

604
00:32:38,680 --> 00:32:43,240
Speaker 2: men as criminals ten percent more. They were also associating

605
00:32:43,280 --> 00:32:47,160
Speaker 2: Latino men with janitors ten percent more than everybody else.

606
00:32:47,840 --> 00:32:52,360
Speaker 2: And then additionally, this motherfucker, Yeah, it's just doing all

607
00:32:52,360 --> 00:32:56,240
Speaker 2: this shit and they say that like even the line

608
00:32:56,280 --> 00:33:00,320
Speaker 2: of questioning is sort of like problematic, but the robot

609
00:33:00,440 --> 00:33:03,880
Speaker 2: is still effectively finding ways to be like no bias.

610
00:33:04,400 --> 00:33:07,880
Speaker 1: Yeah, it's systemic problems. Right, the problem goes to the bone.

611
00:33:07,960 --> 00:33:11,240
Speaker 2: Right, it's a trainer. Yeah yeah, yeah, you can't. We

612
00:33:11,400 --> 00:33:15,160
Speaker 2: there are internet. It has literally it is far more

613
00:33:15,200 --> 00:33:18,920
Speaker 2: consumed with bias than it is consumed with truth, And

614
00:33:19,000 --> 00:33:22,680
Speaker 2: in that way, it's training is just like nope, you

615
00:33:22,720 --> 00:33:23,480
Speaker 2: know what they do.

616
00:33:23,640 --> 00:33:26,240
Speaker 1: Black women, they hate you the most. Yeah, put the

617
00:33:26,320 --> 00:33:27,360
Speaker 1: Rose toys down.

618
00:33:30,320 --> 00:33:35,600
Speaker 2: Take the mics away. You gotta get back to farming. Yeah,

619
00:33:35,760 --> 00:33:37,680
Speaker 2: take the mics away.

620
00:33:38,080 --> 00:33:41,240
Speaker 1: No, I hope you experience all the pleasure from the

621
00:33:41,320 --> 00:33:43,320
Speaker 1: Rose toys or whatever toys you choose.

622
00:33:43,720 --> 00:33:45,840
Speaker 2: Hey, if and Rose, if you want to be a

623
00:33:45,880 --> 00:33:50,040
Speaker 2: sponsor of this podcast based off of that one statement alone, Oh.

624
00:33:49,840 --> 00:33:51,160
Speaker 1: We should get that Rose money.

625
00:33:51,200 --> 00:33:53,640
Speaker 2: We should get that Rose money, and know we want

626
00:33:53,760 --> 00:33:55,719
Speaker 2: right next to Yaku. I'll tell you this.

627
00:33:55,720 --> 00:33:56,360
Speaker 1: Who is this?

628
00:33:57,000 --> 00:34:00,240
Speaker 2: Oh you don't know the legend of yaku? No? Oh

629
00:34:00,800 --> 00:34:04,480
Speaker 2: this is exciting as a big brain. Yes he does,

630
00:34:05,120 --> 00:34:08,080
Speaker 2: Yes he does. What's wrong with him? Okay? Great question.

631
00:34:08,320 --> 00:34:13,279
Speaker 2: Six thousand years ago, it is prophesied that Yakkoub an

632
00:34:13,320 --> 00:34:18,120
Speaker 2: ancient big headed scientist who who was also sort of

633
00:34:18,480 --> 00:34:23,440
Speaker 2: at war with the tribe that that of humans that existed.

634
00:34:23,480 --> 00:34:27,040
Speaker 1: This is an all black planet. This is what the earth.

635
00:34:28,400 --> 00:34:32,279
Speaker 2: We are all black people, and Yakkup sits above a

636
00:34:32,280 --> 00:34:35,080
Speaker 2: lot of them, but he is also evil and and

637
00:34:35,320 --> 00:34:41,239
Speaker 2: then takes fifty thousand people to an island, makes them

638
00:34:41,280 --> 00:34:46,440
Speaker 2: crossbreed until he invents white people, and that is where

639
00:34:46,480 --> 00:34:56,080
Speaker 2: white people come from. Actually, I'm so confused, and that's

640
00:34:56,080 --> 00:35:03,400
Speaker 2: why they act like that. Yeah, yeah, I'm going to

641
00:35:03,440 --> 00:35:04,160
Speaker 2: do some research.

642
00:35:05,560 --> 00:35:06,640
Speaker 1: Strange parts of the internet.

643
00:35:06,719 --> 00:35:09,680
Speaker 2: Does never mind? It is strange parts of the Internet,

644
00:35:09,760 --> 00:35:14,000
Speaker 2: and it has reached an unfortunate sort of cross breeding

645
00:35:14,120 --> 00:35:14,960
Speaker 2: with white people.

646
00:35:15,120 --> 00:35:15,319
Speaker 1: Now.

647
00:35:15,760 --> 00:35:18,360
Speaker 2: It used to be a strictly sort of like black

648
00:35:19,120 --> 00:35:21,440
Speaker 2: part of the Internet, and now white people are aware

649
00:35:21,480 --> 00:35:24,480
Speaker 2: of it and sort of play it ironically. And it

650
00:35:24,520 --> 00:35:28,520
Speaker 2: feels sort of like they're trying to undermine the pleasure

651
00:35:28,600 --> 00:35:35,120
Speaker 2: of this story. It's a beautiful story and they're trying

652
00:35:35,120 --> 00:35:37,319
Speaker 2: to take it away from us because where did white

653
00:35:37,320 --> 00:35:45,279
Speaker 2: people come from? And take your time this rush. We

654
00:35:45,400 --> 00:35:46,960
Speaker 2: won't take the microphone away.

655
00:35:47,520 --> 00:35:48,160
Speaker 1: We don't do that.

656
00:35:49,400 --> 00:35:53,520
Speaker 3: I'm so shocked that you heard that story is beautiful.

657
00:35:54,080 --> 00:36:03,279
Speaker 2: I just don't have a better hand, he said. Six

658
00:36:03,320 --> 00:36:05,560
Speaker 2: thousand years ago. He was going to be like, yeah,

659
00:36:06,040 --> 00:36:09,880
Speaker 2: what I was poor? I don't know. No, yeah, I

660
00:36:09,880 --> 00:36:11,200
Speaker 2: thought you were going to make a joke, but you

661
00:36:11,239 --> 00:36:14,160
Speaker 2: did it. Now, it's just a beautiful story and we

662
00:36:14,160 --> 00:36:19,000
Speaker 2: we we cherish it. We appreciate it interesting, and that's

663
00:36:19,000 --> 00:36:21,960
Speaker 2: what he's supposed to look like. That's what can tarn him.

664
00:36:23,800 --> 00:36:28,960
Speaker 2: Do you have more because we celebrate the diaspora. Yeah,

665
00:36:29,320 --> 00:36:32,560
Speaker 2: and this is what he wore. Yeah, he was never

666
00:36:33,640 --> 00:36:37,320
Speaker 2: a white tunic. He wore white tunic and that large

667
00:36:37,640 --> 00:36:42,640
Speaker 2: amulet and uh he he was never that jackar in

668
00:36:42,960 --> 00:36:44,439
Speaker 2: other depictions of him.

669
00:36:44,480 --> 00:36:47,080
Speaker 1: He yeah, he always looks the other ones I've seen.

670
00:36:47,120 --> 00:36:48,160
Speaker 1: It looks like kind of little.

671
00:36:48,239 --> 00:36:50,640
Speaker 2: Yeah, he's a little bit more of a small, frail guy.

672
00:36:50,680 --> 00:36:53,640
Speaker 2: But I do like the handsome script. I say, that's

673
00:36:53,640 --> 00:36:54,520
Speaker 2: a handsome squid word.

674
00:36:54,719 --> 00:36:58,320
Speaker 1: Yeah, he looks beautiful.

675
00:36:58,800 --> 00:37:04,320
Speaker 2: Yeah, and maybe that is the way that like history

676
00:37:04,520 --> 00:37:08,759
Speaker 2: rewrites the way people look over time. They want they

677
00:37:08,840 --> 00:37:13,640
Speaker 2: want yahkoop to look frail and and fucking you know,

678
00:37:13,840 --> 00:37:17,040
Speaker 2: like slimy and there and in the same way that

679
00:37:17,040 --> 00:37:20,040
Speaker 2: they gave Jesus a different treatment with their like, No,

680
00:37:20,080 --> 00:37:23,839
Speaker 2: I make him sexy, my man, as he deserves that

681
00:37:24,000 --> 00:37:26,239
Speaker 2: he died for our sins. Make my boy look like

682
00:37:26,480 --> 00:37:28,040
Speaker 2: make him look like an Anglo marathon.

683
00:37:28,280 --> 00:37:29,799
Speaker 1: Yeah, exactly.

684
00:37:31,560 --> 00:37:34,799
Speaker 2: Take the mics, Okay, I agree. I'm going to start

685
00:37:34,800 --> 00:37:44,480
Speaker 2: a pull man all right, before we go to break

686
00:37:44,920 --> 00:37:47,839
Speaker 2: I guess my question for you is does this does

687
00:37:47,920 --> 00:37:52,240
Speaker 2: this new information now scare you more about your potentially.

688
00:37:52,520 --> 00:37:56,920
Speaker 3: Figured Actually, okay, I figured as much I figured the bias.

689
00:37:57,000 --> 00:38:00,239
Speaker 3: I don't know what role it'll play because like, right,

690
00:38:00,280 --> 00:38:03,759
Speaker 3: this is an experiment in packaging people into boxes. Yeah,

691
00:38:03,840 --> 00:38:08,240
Speaker 3: but like, are robots going to be decision makers institutionally

692
00:38:08,680 --> 00:38:12,520
Speaker 3: in a way that this can actually affect people outside

693
00:38:12,600 --> 00:38:14,920
Speaker 3: of just biases and classifications.

694
00:38:14,960 --> 00:38:17,880
Speaker 1: I mean that's a good question, right, How high does

695
00:38:18,080 --> 00:38:22,400
Speaker 1: their level of responsibility get? Right? Because I mean in

696
00:38:22,440 --> 00:38:24,680
Speaker 1: my head, it's like you think, like even in a

697
00:38:24,719 --> 00:38:27,360
Speaker 1: fully integrated robot society, you assume it would still be

698
00:38:27,400 --> 00:38:29,640
Speaker 1: humans at the top. But I feel like we trust it.

699
00:38:29,880 --> 00:38:33,320
Speaker 1: We already trust that shit with a lot of stuff.

700
00:38:33,440 --> 00:38:35,799
Speaker 1: I feel like you can go pretty high. Yeah, I

701
00:38:35,880 --> 00:38:36,400
Speaker 1: just saw you.

702
00:38:37,200 --> 00:38:39,040
Speaker 2: Yeah, Like I feel like, is there going to be

703
00:38:39,080 --> 00:38:43,439
Speaker 2: like a robot who's deciding which Supreme Court cases take

704
00:38:43,520 --> 00:38:47,359
Speaker 2: precedence based off of data around how many people each

705
00:38:47,719 --> 00:38:50,919
Speaker 2: case affects, and like it is if we get there,

706
00:38:51,600 --> 00:38:55,479
Speaker 2: then I'm scared. I just think we don't recognize how

707
00:38:55,520 --> 00:38:57,720
Speaker 2: many of those things are already.

708
00:38:57,320 --> 00:39:00,239
Speaker 3: Happening, I know, with just humans and with just like

709
00:39:00,360 --> 00:39:02,520
Speaker 3: I think you guys also have bias and racism.

710
00:39:02,840 --> 00:39:05,719
Speaker 2: I think about now with Google, and this is sort

711
00:39:05,760 --> 00:39:08,239
Speaker 2: of where again we were talking about sort of the

712
00:39:08,280 --> 00:39:11,760
Speaker 2: failures of what AI is now. But like now with Google,

713
00:39:11,800 --> 00:39:14,399
Speaker 2: anytime you google something, the first thing that pops up

714
00:39:14,520 --> 00:39:18,320
Speaker 2: is the AI overview. Yes, and it just gives you information.

715
00:39:18,400 --> 00:39:21,200
Speaker 2: It gives you all the information. But what statistically has

716
00:39:21,239 --> 00:39:24,160
Speaker 2: been proven is that the AI overview is often wrong.

717
00:39:24,640 --> 00:39:28,319
Speaker 2: It isn't it, or at least not fully true. There

718
00:39:28,400 --> 00:39:30,719
Speaker 2: is like one part of it that they've sort of

719
00:39:30,840 --> 00:39:34,760
Speaker 2: amassed based off of a lot of articles that is true,

720
00:39:35,120 --> 00:39:38,080
Speaker 2: and then it skips over a lot of information or

721
00:39:38,200 --> 00:39:41,480
Speaker 2: sometimes picks the wrong one because it's just there are

722
00:39:41,520 --> 00:39:45,200
Speaker 2: way more articles saying this wrong thing than this correct thing,

723
00:39:45,719 --> 00:39:48,560
Speaker 2: so the overview assumes that this is the correct thing.

724
00:39:48,680 --> 00:39:48,839
Speaker 1: Right.

725
00:39:48,880 --> 00:39:51,600
Speaker 2: It's a summary of the most amount of articles as

726
00:39:51,600 --> 00:39:56,600
Speaker 2: opposed to an actual diagnostic because they can't experience things anyway,

727
00:39:57,040 --> 00:40:00,200
Speaker 2: So why the fuck would it know whether something is

728
00:40:00,440 --> 00:40:04,640
Speaker 2: This person was proven racist or not racist, you know

729
00:40:04,680 --> 00:40:06,520
Speaker 2: what I mean. So, like you can get a lot

730
00:40:06,560 --> 00:40:10,480
Speaker 2: of generic bad answers from the AI overview, and I

731
00:40:10,520 --> 00:40:16,439
Speaker 2: think because of the sort of the simplifying of our

732
00:40:16,520 --> 00:40:20,239
Speaker 2: systems over and over again. I bet we're getting to

733
00:40:20,320 --> 00:40:24,440
Speaker 2: court cases now where information gets slipped in from an

734
00:40:24,520 --> 00:40:29,680
Speaker 2: AI over right, that wasn't fully the truth in the argument?

735
00:40:29,800 --> 00:40:31,960
Speaker 1: Well yeah, because it's like if we're using this stuff

736
00:40:32,000 --> 00:40:34,040
Speaker 1: to assist us in our work, right, it's like college

737
00:40:34,120 --> 00:40:36,200
Speaker 1: kids using it for papers and shit like that. Yeah,

738
00:40:36,360 --> 00:40:40,239
Speaker 1: it's not crazy to think someone in the who practices

739
00:40:40,320 --> 00:40:44,160
Speaker 1: law is using chat GPT prompts for whatever.

740
00:40:44,200 --> 00:40:51,200
Speaker 3: Yeah, we're doomed and chas GBT, I know has biases.

741
00:40:51,520 --> 00:40:53,920
Speaker 2: You asked it to write me an email, and it'll

742
00:40:53,920 --> 00:40:54,720
Speaker 2: be like yo.

743
00:40:55,880 --> 00:40:59,000
Speaker 3: Nigga, why'd you say yo?

744
00:40:59,040 --> 00:41:01,200
Speaker 2: Because you're writing it in my voice? Yeah, you know,

745
00:41:01,600 --> 00:41:02,239
Speaker 2: I don't get it.

746
00:41:02,800 --> 00:41:09,719
Speaker 3: Hey, there, drive Turkey, say mama, what's on?

747
00:41:09,880 --> 00:41:11,239
Speaker 2: What's up on that wardrobe?

748
00:41:13,080 --> 00:41:13,480
Speaker 1: Crazy?

749
00:41:13,560 --> 00:41:16,040
Speaker 2: No, it's terrifying. Yeah, and I can't think of a

750
00:41:16,040 --> 00:41:18,520
Speaker 2: better terror to send us into a break. That's great,

751
00:41:18,680 --> 00:41:20,040
Speaker 2: that's the exact.

752
00:41:19,719 --> 00:41:21,640
Speaker 1: Terror we want to be leaving you with. We'll be

753
00:41:21,680 --> 00:41:22,120
Speaker 1: back more.

754
00:41:22,160 --> 00:41:24,200
Speaker 2: Brett Gray or my mama told.

755
00:41:24,000 --> 00:41:37,759
Speaker 6: Me, because I look good, you will good.

756
00:41:38,200 --> 00:41:42,319
Speaker 3: I feel good, and you sing good and make love good.

757
00:41:42,960 --> 00:41:45,920
Speaker 2: Oh I like that one.

758
00:41:45,960 --> 00:41:46,359
Speaker 1: You like that?

759
00:41:46,360 --> 00:41:47,879
Speaker 2: That was a good one. What do you think that is?

760
00:41:48,719 --> 00:41:49,200
Speaker 2: Plead again?

761
00:41:49,760 --> 00:41:53,280
Speaker 3: How did all of this trouble begin living a Marria?

762
00:41:54,560 --> 00:41:55,160
Speaker 1: Same person?

763
00:41:55,280 --> 00:41:56,640
Speaker 2: I don't know who that is. You still don't know

764
00:41:56,680 --> 00:41:58,319
Speaker 2: who that is? Was that a person who lived before

765
00:41:58,400 --> 00:41:59,080
Speaker 2: nineteen ninety six?

766
00:41:59,680 --> 00:42:03,600
Speaker 1: Well before? Yeah, I mean you lived before nineteen ninety six?

767
00:42:03,680 --> 00:42:04,400
Speaker 1: Or are you thirty?

768
00:42:05,160 --> 00:42:10,719
Speaker 2: I was born in nineteen ninety six. Oh, okay, that's

769
00:42:10,760 --> 00:42:13,520
Speaker 2: James Brown. I was gonna say that, but I didn't

770
00:42:13,520 --> 00:42:16,000
Speaker 2: want to be wrong and sorry to this man. And

771
00:42:16,040 --> 00:42:18,000
Speaker 2: I was just going to get down and you can

772
00:42:18,040 --> 00:42:20,839
Speaker 2: walk about me, Michael, and I wouldn't know a thing,

773
00:42:21,920 --> 00:42:22,600
Speaker 2: you know. That's funny.

774
00:42:22,680 --> 00:42:24,520
Speaker 3: I actually did a lot of research on James Brown

775
00:42:24,520 --> 00:42:25,600
Speaker 3: and never came across that.

776
00:42:25,880 --> 00:42:28,400
Speaker 1: Well that is Oh you should go see that.

777
00:42:28,680 --> 00:42:31,480
Speaker 2: It was mostly his dance moves, his philosophies, or that's

778
00:42:31,520 --> 00:42:33,920
Speaker 2: not the real James Brown research. I think that you

779
00:42:34,000 --> 00:42:34,960
Speaker 2: need to be doing right.

780
00:42:35,680 --> 00:42:37,520
Speaker 1: James Brown Hawaii interview.

781
00:42:38,160 --> 00:42:42,279
Speaker 2: Okay, you want to experience James Brown in conversation. You

782
00:42:42,320 --> 00:42:44,680
Speaker 2: want to learn about James Brown beating the shit out

783
00:42:44,719 --> 00:42:47,480
Speaker 2: of his band members, like you want to really use

784
00:42:47,560 --> 00:42:48,400
Speaker 2: the fight.

785
00:42:48,760 --> 00:42:50,520
Speaker 1: Also in Boston when he stopped that riot.

786
00:42:50,560 --> 00:42:53,520
Speaker 2: Though no and that's why he's beautiful. It's not that

787
00:42:53,680 --> 00:42:56,880
Speaker 2: he is like a bad dude. He is the most

788
00:42:56,960 --> 00:43:01,040
Speaker 2: like true human being that's ever existed. Where he is like,

789
00:43:02,000 --> 00:43:05,040
Speaker 2: he is violent, is the most true human being. He

790
00:43:05,120 --> 00:43:08,000
Speaker 2: is up there, up there, for he is funk embodied.

791
00:43:08,000 --> 00:43:10,719
Speaker 2: He is beautiful, he is kind, he is violent, he

792
00:43:10,840 --> 00:43:14,359
Speaker 2: is nasty, he is he is on drugs, and then

793
00:43:14,400 --> 00:43:17,280
Speaker 2: he is of God. He is all the things at once.

794
00:43:17,760 --> 00:43:20,480
Speaker 2: And that motherfucker could just cook.

795
00:43:20,680 --> 00:43:23,239
Speaker 1: He could do it too, man, he could.

796
00:43:23,239 --> 00:43:24,440
Speaker 2: Moving them little legs back.

797
00:43:26,080 --> 00:43:30,600
Speaker 1: Yeah, started making music on the one. That's like, he's amazing, bro,

798
00:43:30,680 --> 00:43:32,879
Speaker 1: Put a cape on him, Put a cape on him.

799
00:43:32,920 --> 00:43:39,120
Speaker 2: He deserves it, sweating out every sweating everything out that.

800
00:43:39,200 --> 00:43:41,040
Speaker 2: You don't get stars like that no more.

801
00:43:41,120 --> 00:43:42,839
Speaker 1: Man, I don't think we get another one of those.

802
00:43:42,920 --> 00:43:45,359
Speaker 2: Nah, that's it, so like you gotta you gotta really

803
00:43:45,480 --> 00:43:47,720
Speaker 2: soaking that part.

804
00:43:48,400 --> 00:43:50,360
Speaker 1: The American experiment is James Brown.

805
00:43:51,040 --> 00:43:54,400
Speaker 2: That's a beautiful way of seeing it, I think. So alright,

806
00:43:54,840 --> 00:43:55,920
Speaker 2: let's do the voicemail.

807
00:43:56,680 --> 00:44:00,319
Speaker 4: I'm not drunk, mile high, but I'm not drugs And

808
00:44:00,680 --> 00:44:04,920
Speaker 4: I still can't get over how how inappropriate that message is.

809
00:44:06,640 --> 00:44:11,120
Speaker 4: But anyway, I'll get to it. I was talking to

810
00:44:11,160 --> 00:44:15,160
Speaker 4: one of my friends about this TV show I used

811
00:44:15,160 --> 00:44:17,799
Speaker 4: to love as a kid, and I told her, like,

812
00:44:17,840 --> 00:44:21,880
Speaker 4: the premise is crazy. It's a TV show called Ghostwriter,

813
00:44:22,239 --> 00:44:24,239
Speaker 4: if you've ever heard of it. It was about TBS.

814
00:44:25,000 --> 00:44:28,000
Speaker 4: It was about this dot that could spell in a

815
00:44:28,040 --> 00:44:32,240
Speaker 4: diverse group of children that were in New York or something,

816
00:44:33,080 --> 00:44:36,080
Speaker 4: and they would sall mysteries with this ghost that was

817
00:44:36,160 --> 00:44:38,440
Speaker 4: a dot, like it was like a floating dot that

818
00:44:38,480 --> 00:44:41,880
Speaker 4: could turn the letters and shit. So I'm telling my

819
00:44:41,920 --> 00:44:46,560
Speaker 4: friend about this show and it sounds insane, and then

820
00:44:46,640 --> 00:44:48,719
Speaker 4: we look it up on Wikipedia and it turns out

821
00:44:49,520 --> 00:44:51,880
Speaker 4: like you never knew the identity of the ghost and

822
00:44:51,920 --> 00:44:57,360
Speaker 4: the show, but apparently, according to the creator, the ghost

823
00:44:57,719 --> 00:45:03,320
Speaker 4: is the ghost is a runaway slave who was murdered

824
00:45:03,320 --> 00:45:06,880
Speaker 4: by dogs escaping from slavery and became a ghost on

825
00:45:06,880 --> 00:45:09,399
Speaker 4: this on this TV show. And I don't know if

826
00:45:09,400 --> 00:45:11,959
Speaker 4: this is a government conspiracy. I wouldn't go that far,

827
00:45:12,160 --> 00:45:17,400
Speaker 4: but like, that's a really dark and fucked up premise

828
00:45:17,840 --> 00:45:21,439
Speaker 4: to build a kids show off of, especially not even

829
00:45:21,480 --> 00:45:23,239
Speaker 4: telling us that the ghosts is a runaway slave. I

830
00:45:23,280 --> 00:45:24,920
Speaker 4: feel like they kind of done a lot more than that.

831
00:45:25,040 --> 00:45:26,520
Speaker 4: I feel like they didn't want.

832
00:45:26,400 --> 00:45:27,080
Speaker 1: Us to be great.

833
00:45:27,200 --> 00:45:30,880
Speaker 4: So I'm curious if there's any other kids shows or

834
00:45:30,960 --> 00:45:34,520
Speaker 4: shows that you think this has happened to where there

835
00:45:34,600 --> 00:45:42,919
Speaker 4: was significant Transformers is about the Revolution of the proletariat

836
00:45:43,040 --> 00:45:46,720
Speaker 4: or something like that, or uh, you know, dust Tails

837
00:45:46,800 --> 00:45:50,960
Speaker 4: about some weird ood Scottish magnate who was diddling his

838
00:45:51,080 --> 00:45:56,799
Speaker 4: defews like heank God. I wonder if there are why

839
00:45:56,880 --> 00:46:04,200
Speaker 4: we don't love the super History. Yeah, have a good.

840
00:46:04,200 --> 00:46:08,440
Speaker 2: Night, okay by that was so loaded. Yeah that wow.

841
00:46:08,560 --> 00:46:10,799
Speaker 2: I'm surprised you all did not.

842
00:46:11,040 --> 00:46:12,920
Speaker 1: I never had heard that at all.

843
00:46:13,200 --> 00:46:14,760
Speaker 2: Ghost ghost.

844
00:46:15,600 --> 00:46:17,719
Speaker 3: I thought that was like the guy on the motorcycle

845
00:46:17,760 --> 00:46:19,120
Speaker 3: with the flaming head.

846
00:46:19,080 --> 00:46:23,759
Speaker 2: Ghost Rider, right, ghost writer. I see, yeah, And this

847
00:46:23,880 --> 00:46:28,480
Speaker 2: is a kid show in nineteen This was at six,

848
00:46:30,719 --> 00:46:33,799
Speaker 2: It was when you were just getting here. Yeah, we

849
00:46:33,880 --> 00:46:36,719
Speaker 2: had a little white dot in the sky that was

850
00:46:36,800 --> 00:46:40,000
Speaker 2: like floating around and helping them. Now I am of

851
00:46:40,080 --> 00:46:43,040
Speaker 2: the belief, and I'm quite passionate about this that this

852
00:46:43,360 --> 00:46:45,840
Speaker 2: is white people bullshit.

853
00:46:45,960 --> 00:46:48,359
Speaker 1: Yeah, I don't believe that's it's that. It doesn't make

854
00:46:48,400 --> 00:46:48,960
Speaker 1: any sense.

855
00:46:49,160 --> 00:46:51,520
Speaker 2: I think that's some ship that they came up with

856
00:46:51,719 --> 00:46:55,160
Speaker 2: after the fact, the same way Dumbledore being gay was

857
00:46:55,280 --> 00:46:57,560
Speaker 2: like some last minute ship and.

858
00:46:57,680 --> 00:46:59,759
Speaker 1: Some extra muscle in the thigh type shit.

859
00:47:00,080 --> 00:47:02,799
Speaker 2: K Rowland every every chance she gets, make up some

860
00:47:02,840 --> 00:47:05,880
Speaker 2: new bullshit about what Yeah, and Harry Potter, they would

861
00:47:05,920 --> 00:47:10,120
Speaker 2: just make their duchies disappear. It's like, no, no, you

862
00:47:10,120 --> 00:47:13,120
Speaker 2: didn't think about it, bitch. We're back to we need.

863
00:47:13,000 --> 00:47:15,480
Speaker 1: You, We need you. Do you built a crazy world?

864
00:47:15,640 --> 00:47:15,879
Speaker 5: Yeah?

865
00:47:15,960 --> 00:47:16,759
Speaker 1: You I was.

866
00:47:18,600 --> 00:47:22,000
Speaker 2: I was just there. I was just there. The Ministry

867
00:47:22,040 --> 00:47:22,440
Speaker 2: of Magic.

868
00:47:22,480 --> 00:47:25,600
Speaker 3: It was a yeah, they call the magic running what

869
00:47:25,640 --> 00:47:32,200
Speaker 3: they do with the dookies take the micro So I'm

870
00:47:32,200 --> 00:47:34,160
Speaker 3: gonna I'm gonna wear a T shirt. I'm gonna come

871
00:47:34,200 --> 00:47:36,680
Speaker 3: back on the podcast next time, and I'm gonna say

872
00:47:36,719 --> 00:47:38,440
Speaker 3: take the shirt.

873
00:47:40,520 --> 00:47:41,879
Speaker 2: Specifically from you both.

874
00:47:42,960 --> 00:47:43,160
Speaker 1: Yeah.

875
00:47:43,200 --> 00:47:47,520
Speaker 2: I do believe that this is white people sort of

876
00:47:48,120 --> 00:47:51,839
Speaker 2: attempting to add a weight to a thing that they

877
00:47:51,920 --> 00:47:54,839
Speaker 2: weren't actually writing about. You know what I mean, Like

878
00:47:54,920 --> 00:47:59,200
Speaker 2: that wasn't the responsibility of a fucking slave in the show,

879
00:47:59,360 --> 00:48:01,839
Speaker 2: was not helping these kids with mysteries and ship?

880
00:48:02,040 --> 00:48:02,239
Speaker 1: Yeah?

881
00:48:02,320 --> 00:48:05,839
Speaker 2: Yeah, you know what I mean, Like, yeah, you don't

882
00:48:05,880 --> 00:48:09,280
Speaker 2: give a what are you talking about? He's run away

883
00:48:09,920 --> 00:48:11,400
Speaker 2: and he was like, now I'm gonna stick around and

884
00:48:11,440 --> 00:48:11,680
Speaker 2: help me.

885
00:48:11,719 --> 00:48:15,000
Speaker 1: Why do you have to be killed by dogs? It's

886
00:48:15,080 --> 00:48:18,799
Speaker 1: not necessary. I understand character work, right, everybody's gonna have

887
00:48:18,800 --> 00:48:20,280
Speaker 1: a back to Yeah, that's insane.

888
00:48:20,760 --> 00:48:23,960
Speaker 2: No, it's nuts. It's it's truly like, oh, y'all just

889
00:48:24,040 --> 00:48:26,279
Speaker 2: wanted to try to be heroes. And in some ways

890
00:48:26,280 --> 00:48:29,840
Speaker 2: you're being nasty because you're punishing this slave to be

891
00:48:29,920 --> 00:48:33,600
Speaker 2: the assistance to little white and Asian children in this

892
00:48:33,680 --> 00:48:37,000
Speaker 2: neighborhood that like, he doesn't even fucking belong to You

893
00:48:37,120 --> 00:48:40,400
Speaker 2: never even got to experience this version of humanity, and

894
00:48:40,440 --> 00:48:42,960
Speaker 2: you want him to be their assistant.

895
00:48:43,560 --> 00:48:46,080
Speaker 1: Fuck you, Yeah, I'm not. I'm with you, man. I

896
00:48:46,120 --> 00:48:49,440
Speaker 1: don't really and I don't really think that like the

897
00:48:49,440 --> 00:48:54,480
Speaker 1: conspiracies of like children's programming goes that deep.

898
00:48:54,600 --> 00:48:57,319
Speaker 3: For the moment, I was gonna say, I don't know

899
00:48:57,360 --> 00:49:00,520
Speaker 3: anything about anything we're talking about right now, but I

900
00:49:00,560 --> 00:49:03,799
Speaker 3: did hear some weird shit about Barney recently, about.

901
00:49:03,560 --> 00:49:05,080
Speaker 2: Him being totally.

902
00:49:06,280 --> 00:49:07,160
Speaker 1: Do you know about that?

903
00:49:07,239 --> 00:49:07,719
Speaker 2: Yes? I do.

904
00:49:09,239 --> 00:49:12,959
Speaker 3: There's actually a horror film that's being developed right now

905
00:49:13,239 --> 00:49:15,960
Speaker 3: about Barney, and I don't know the premise or like

906
00:49:16,000 --> 00:49:19,040
Speaker 3: the plot or anything like that, but ye, Barney was

907
00:49:19,080 --> 00:49:21,560
Speaker 3: something on TikTok the other day that like Barney actually.

908
00:49:21,239 --> 00:49:22,919
Speaker 2: Wasn't there, Barney wasn't real.

909
00:49:23,280 --> 00:49:25,560
Speaker 3: Yeah, and so the kids are imagining Barney and all

910
00:49:25,560 --> 00:49:27,040
Speaker 3: these dinosaurs and playing with them.

911
00:49:27,040 --> 00:49:30,200
Speaker 2: I don't know how well it happens every episode, right,

912
00:49:30,320 --> 00:49:35,280
Speaker 2: their magic happens and they imagine because after school program right.

913
00:49:35,239 --> 00:49:37,239
Speaker 1: Right, you and you do want to go to us

914
00:49:37,320 --> 00:49:42,359
Speaker 1: better place. Sometimes, yes, sometimes after school programs you got

915
00:49:42,360 --> 00:49:44,000
Speaker 1: to think up a big friend to protect you.

916
00:49:44,080 --> 00:49:52,080
Speaker 2: And that's why there and that's why there's always only

917
00:49:52,200 --> 00:49:55,000
Speaker 2: like four or five of them, because that's the weird kids.

918
00:49:55,120 --> 00:49:57,080
Speaker 1: It's the kids whose parents are still not there.

919
00:49:57,120 --> 00:49:59,080
Speaker 2: Bro, it's late.

920
00:49:59,200 --> 00:50:00,719
Speaker 1: Yeah, it's you.

921
00:50:00,200 --> 00:50:04,400
Speaker 2: Should we call Shannon again? Yeah, yeah, we we are waiting.

922
00:50:11,840 --> 00:50:15,480
Speaker 3: I knew Barney was imaginary. I guess every time I

923
00:50:15,480 --> 00:50:17,520
Speaker 3: didn't realize I didn't put it together.

924
00:50:18,200 --> 00:50:21,480
Speaker 2: Every time there's a twinkling and then Barney, the the

925
00:50:21,640 --> 00:50:27,520
Speaker 2: stuffed animal magically turned into the dinosaur and they slowed

926
00:50:27,520 --> 00:50:29,319
Speaker 2: the song down. It was like, Barney can be your

927
00:50:29,360 --> 00:50:34,680
Speaker 2: friends who if you just make and every single episode here,

928
00:50:34,760 --> 00:50:37,280
Speaker 2: your boy your mom's boyfriend, Kevin can.

929
00:50:37,040 --> 00:50:37,880
Speaker 1: Not hurt you.

930
00:50:40,880 --> 00:50:54,800
Speaker 2: He's not bigger than Barney. Nobody's bigger than Barney. Mike's away.

931
00:50:56,480 --> 00:50:58,200
Speaker 3: I wanted you guys to put like a count up

932
00:50:58,280 --> 00:51:00,880
Speaker 3: on this. How many times I said, Michael.

933
00:51:05,080 --> 00:51:08,200
Speaker 2: Yeah, I think that I think we cannot let white

934
00:51:08,200 --> 00:51:14,000
Speaker 2: people continue to use slavery as a weapon against us. Yeah,

935
00:51:14,080 --> 00:51:17,520
Speaker 2: we got to draw a line somewhere and them finding

936
00:51:17,600 --> 00:51:21,200
Speaker 2: pleasure in a slave story. That's a line for me.

937
00:51:22,600 --> 00:51:23,799
Speaker 2: Go ahead, chill out, bro.

938
00:51:23,960 --> 00:51:25,440
Speaker 1: Why I don't be watching those slave movies.

939
00:51:25,440 --> 00:51:28,360
Speaker 2: Man, you said it's a ghost. Keep it the ghost

940
00:51:28,480 --> 00:51:29,799
Speaker 2: you always thought it was.

941
00:51:30,600 --> 00:51:33,200
Speaker 1: It's a ghost of literacy.

942
00:51:33,960 --> 00:51:36,680
Speaker 2: That was a little white child in briches. Yeah, you

943
00:51:36,719 --> 00:51:38,440
Speaker 2: know what I mean, And now you want to hang

944
00:51:38,480 --> 00:51:40,479
Speaker 2: out with you know what I mean, just some little

945
00:51:40,560 --> 00:51:46,200
Speaker 2: Victorian boy and now he's helping out. That makes sense

946
00:51:46,239 --> 00:51:49,120
Speaker 2: to me. You ain't got to make that a slave

947
00:51:49,640 --> 00:51:54,160
Speaker 2: interesting anything about that show? Ever, until today, it wasn't

948
00:51:54,239 --> 00:51:57,560
Speaker 2: very popular. It was PBS, so you know, I think

949
00:51:57,560 --> 00:51:59,399
Speaker 2: you had to be over there to be over there.

950
00:51:59,520 --> 00:52:02,719
Speaker 1: I think people this was more watched by kids. Yeah,

951
00:52:03,600 --> 00:52:04,080
Speaker 1: when we.

952
00:52:03,920 --> 00:52:06,680
Speaker 2: Were I loved p BS when we were kids. BBS

953
00:52:06,719 --> 00:52:12,600
Speaker 2: had some hits. Arthur Arthur was Tailing Tails, cyber Chase, Wishbone,

954
00:52:13,000 --> 00:52:17,120
Speaker 2: the Boom of Food, the Boom of Food between the Lions,

955
00:52:18,440 --> 00:52:21,960
Speaker 2: Reading Rainbow, Let's go. I never watched Reading Rainbow.

956
00:52:21,920 --> 00:52:22,279
Speaker 1: I'll be.

957
00:52:24,560 --> 00:52:27,320
Speaker 2: I know the song. Well okay, yeah, then please Chaka

958
00:52:27,360 --> 00:52:31,120
Speaker 2: Khan and LaVar Burton. Yeah, press some one we have

959
00:52:31,560 --> 00:52:34,040
Speaker 2: Oh we have a good one too, you really yeah, No,

960
00:52:34,120 --> 00:52:36,440
Speaker 2: you're gonna like this one. I think I feel like

961
00:52:36,480 --> 00:52:38,160
Speaker 2: you're saying I'm gonna like it means going to not No,

962
00:52:38,200 --> 00:52:39,160
Speaker 2: I think you're gonna like this.

963
00:52:39,600 --> 00:52:39,799
Speaker 1: Cool.

964
00:52:40,760 --> 00:52:44,040
Speaker 2: This is pretty good. Okay, okay, yeah, well marinate, but

965
00:52:44,080 --> 00:52:46,839
Speaker 2: I think what you're gonna like about it is we

966
00:52:47,040 --> 00:52:59,440
Speaker 2: it keeps all anyway, see how he kept one at

967
00:52:59,440 --> 00:52:59,799
Speaker 2: a time.

968
00:53:01,200 --> 00:53:03,319
Speaker 3: That's a pretty good one. I think that's horrible. That

969
00:53:03,360 --> 00:53:05,719
Speaker 3: actually made no sense. It didn't correlate it anyway. There's

970
00:53:05,760 --> 00:53:07,879
Speaker 3: actually that was a low hanging fruit as a joke.

971
00:53:08,000 --> 00:53:11,200
Speaker 2: That's not our joke. There's a full DMX version of

972
00:53:11,600 --> 00:53:15,080
Speaker 2: reading there is there is. Yeah, what a year did

973
00:53:15,120 --> 00:53:21,720
Speaker 2: that come out? Okay, I need to look into your window?

974
00:53:21,880 --> 00:53:24,919
Speaker 1: Okay, great, yeah, entire couch.

975
00:53:25,000 --> 00:53:29,800
Speaker 2: Can't wait. No shame in looking back on that one. Okay, great? Yeah, yeah, Brett,

976
00:53:29,840 --> 00:53:31,719
Speaker 2: this was a great man. Thank you. This is really

977
00:53:31,719 --> 00:53:34,000
Speaker 2: fun having me. Could you tell the people where they

978
00:53:34,000 --> 00:53:35,799
Speaker 2: can find you. What cool ship you got going on?

979
00:53:35,840 --> 00:53:41,600
Speaker 3: Oh everywhere, TikTok Instagram, at Brett Gray YouTube. I drop

980
00:53:41,640 --> 00:53:46,680
Speaker 3: blogs and stuff sometimes and then next year, this year

981
00:53:46,760 --> 00:53:52,919
Speaker 3: maybe on Amazon Prime. Who was awesome in that show

982
00:53:53,280 --> 00:53:55,520
Speaker 3: Man's Super Fun And we got to do a lot

983
00:53:55,560 --> 00:53:56,240
Speaker 3: of really cool stuff.

984
00:53:56,320 --> 00:53:58,799
Speaker 2: Yeah, yeah, we got to be awkward with each other.

985
00:53:58,840 --> 00:54:01,000
Speaker 2: We got to be awkward. I got to watch you yell.

986
00:54:01,680 --> 00:54:06,160
Speaker 2: That was great. I watched I've seen him have many tantrums.

987
00:54:06,800 --> 00:54:09,520
Speaker 2: They weren't real, but it was cool to watch.

988
00:54:09,880 --> 00:54:10,839
Speaker 1: Thees are good to.

989
00:54:10,960 --> 00:54:12,880
Speaker 2: Yeah, you know what. A lot of them were based

990
00:54:12,880 --> 00:54:19,000
Speaker 2: in light skinness. It's it's unfortunate, but it's unfortunate, but

991
00:54:19,040 --> 00:54:23,480
Speaker 2: it is my journey. And I make no apologies, but

992
00:54:23,520 --> 00:54:24,200
Speaker 2: I do reckon.

993
00:54:24,400 --> 00:54:26,040
Speaker 3: I will say it's so cool to see him on

994
00:54:26,080 --> 00:54:30,960
Speaker 3: this podcast versus on set. He's so professional and suave

995
00:54:31,600 --> 00:54:36,919
Speaker 3: and very nice and quiet. He's not vulgar and inappropriate.

996
00:54:37,040 --> 00:54:39,000
Speaker 2: Oh No, I talked about pussy a lot.

997
00:54:39,200 --> 00:54:41,600
Speaker 1: I do feel like this podcasts maybe brought out a

998
00:54:41,640 --> 00:54:44,400
Speaker 1: bad side in you, absolutely, and I'm sorry for that.

999
00:54:44,520 --> 00:54:46,560
Speaker 2: Don't apologie, but that's just where you're at.

1000
00:54:46,840 --> 00:54:48,640
Speaker 1: I think it was a side always wanting to come out.

1001
00:54:48,800 --> 00:54:50,640
Speaker 2: Yeah you know, yeah, I get that.

1002
00:54:50,880 --> 00:54:53,040
Speaker 1: Yeah, and I come here to tone my ship down.

1003
00:54:53,040 --> 00:54:53,759
Speaker 2: Really.

1004
00:54:55,360 --> 00:54:55,640
Speaker 1: Down.

1005
00:54:56,040 --> 00:55:00,880
Speaker 2: I'm the reckless one on this podcast, really in this relationship,

1006
00:55:00,880 --> 00:55:03,120
Speaker 2: I would say easily the more reckless person.

1007
00:55:03,640 --> 00:55:06,759
Speaker 1: Why am I? I'm a chaos stage it But I'm

1008
00:55:06,760 --> 00:55:07,600
Speaker 1: pretty calm.

1009
00:55:07,800 --> 00:55:10,240
Speaker 2: You lived a way more reckless life though.

1010
00:55:10,360 --> 00:55:12,240
Speaker 1: Yeah, that's why I'm more. That's why I don't. Really,

1011
00:55:12,520 --> 00:55:13,840
Speaker 1: I'm pretty relaxed.

1012
00:55:13,960 --> 00:55:16,040
Speaker 2: You kind of I think got all your ship out,

1013
00:55:16,440 --> 00:55:19,120
Speaker 2: and I'm a dude who didn't get to fuck enough.

1014
00:55:19,880 --> 00:55:20,400
Speaker 1: You know what I mean?

1015
00:55:20,640 --> 00:55:23,279
Speaker 2: You like roll me again? I'm hanging out at the

1016
00:55:23,320 --> 00:55:24,120
Speaker 2: bar too long.

1017
00:55:26,920 --> 00:55:31,000
Speaker 1: He started smoking cigarettes. Try smoking.

1018
00:55:32,880 --> 00:55:40,960
Speaker 2: I don't even know that. Niggas like that. That's like

1019
00:55:41,000 --> 00:55:43,960
Speaker 2: a treat. You don't make that your only thing.

1020
00:55:44,280 --> 00:55:47,480
Speaker 1: No, no, no, no, you don't just smoke black your

1021
00:55:47,520 --> 00:55:50,120
Speaker 1: bo You smoke a black your Boyeah?

1022
00:55:53,320 --> 00:55:55,080
Speaker 2: Oh what you got?

1023
00:55:55,200 --> 00:55:57,480
Speaker 1: Cool? Got jokes eighty seven on Instagram. I'll just come

1024
00:55:57,520 --> 00:55:59,880
Speaker 1: see us in New Orleans, right, Yeah, come see the

1025
00:56:00,040 --> 00:56:03,280
Speaker 1: Old On Street Festival. We're doing live shows. I'm getting

1026
00:56:03,280 --> 00:56:05,799
Speaker 1: the dates. It's it's when are you guys going?

1027
00:56:07,040 --> 00:56:13,240
Speaker 2: March twenty twenty first watched through the twenty second we go, Yeah,

1028
00:56:13,360 --> 00:56:15,160
Speaker 2: I'm coming, I'm bringing.

1029
00:56:15,640 --> 00:56:18,920
Speaker 1: Okay, bring Oh yeah, Punky, that's bring the.

1030
00:56:18,840 --> 00:56:22,600
Speaker 2: Most New Orleans ladies. Yes, exactly. Yeah, you should have

1031
00:56:22,640 --> 00:56:28,000
Speaker 2: Punky on this podcast. We absolutely have had herring her again. Okay,

1032
00:56:28,280 --> 00:56:34,000
Speaker 2: I'd imagine her conspiracies would be ridiculous. She's great, her

1033
00:56:34,040 --> 00:56:38,680
Speaker 2: follow through is exceptional. Oh. Absolutely, There's there are few

1034
00:56:38,719 --> 00:56:42,160
Speaker 2: people who we get to invite on who we have

1035
00:56:42,280 --> 00:56:46,600
Speaker 2: to be like, all right, let's speak chill, yeah, relaxed,

1036
00:56:46,880 --> 00:56:50,040
Speaker 2: because he's one of those we might have to we

1037
00:56:50,120 --> 00:56:51,400
Speaker 2: might have to ring this back in.

1038
00:56:52,360 --> 00:56:54,680
Speaker 1: We're don't have to edit. And that's still we don't have.

1039
00:56:58,840 --> 00:57:01,279
Speaker 2: Punky. You gotta watch that one. But man, what a

1040
00:57:01,320 --> 00:57:05,080
Speaker 2: funny wait. Yeah, Hooky is amazing that It's just great.

1041
00:57:05,160 --> 00:57:08,400
Speaker 2: The best tell Uh. You can follow me at Langston

1042
00:57:08,440 --> 00:57:10,880
Speaker 2: Kerman on all social media platforms. You can see me

1043
00:57:10,960 --> 00:57:14,920
Speaker 2: on my aspiring Deadbeat tour. All those tickets you can

1044
00:57:14,960 --> 00:57:16,760
Speaker 2: find that at Langston Kerman dot com.

1045
00:57:17,080 --> 00:57:17,240
Speaker 1: Uh.

1046
00:57:17,280 --> 00:57:20,160
Speaker 2: We got Dallas coming up. I think that'll already be gone,

1047
00:57:20,240 --> 00:57:23,840
Speaker 2: but but there's some other shit Grand Rapids, uh in

1048
00:57:23,960 --> 00:57:27,920
Speaker 2: the Big Old Building and yeah, that's what it's called,

1049
00:57:27,960 --> 00:57:28,640
Speaker 2: The Big Old Building.

1050
00:57:28,680 --> 00:57:30,400
Speaker 1: Oh is that what it's called. Yah in the big

1051
00:57:30,400 --> 00:57:30,960
Speaker 1: old building.

1052
00:57:31,480 --> 00:57:33,400
Speaker 2: I forgot that you got to go up some steps

1053
00:57:33,440 --> 00:57:36,640
Speaker 2: and yeah, it's like a complex, but it's it's a

1054
00:57:36,680 --> 00:57:39,840
Speaker 2: great club, Doctor Grin's. And there's some bunch of other

1055
00:57:39,920 --> 00:57:42,040
Speaker 2: dates that you can find at Langston Kerman dot com.

1056
00:57:42,160 --> 00:57:44,840
Speaker 2: You can follow us, you can like, subscribe, rate, review,

1057
00:57:44,920 --> 00:57:47,600
Speaker 2: do all that shit. You can send your own conspiracies,

1058
00:57:47,840 --> 00:57:52,760
Speaker 2: your own drops. You can tell us who you think

1059
00:57:52,800 --> 00:57:55,080
Speaker 2: it's the most reckless individual we've ever had on the

1060
00:57:55,120 --> 00:57:58,960
Speaker 2: podcast at Mymama pod at gmail dot com, and most importantly,

1061
00:57:59,000 --> 00:58:02,000
Speaker 2: call us at A four four Little Moms follow that Patreon.

1062
00:58:02,880 --> 00:58:06,360
Speaker 2: We love you so much. Bye bitch, you raggedy bitch.

1063
00:58:09,680 --> 00:58:12,280
Speaker 2: My Mama Told Me is a production of Will Ferrell's

1064
00:58:12,280 --> 00:58:16,280
Speaker 2: Big Money Players Network and iHeart Podcast.

1065
00:58:16,680 --> 00:58:18,880
Speaker 1: Created and hosted by Langston krek.

1066
00:58:18,960 --> 00:58:20,520
Speaker 2: Co hosted by David Bordi.

1067
00:58:20,840 --> 00:58:24,840
Speaker 1: Executive produced by Will Ferrell, Hansani and Joel Monique.

1068
00:58:25,080 --> 00:58:29,360
Speaker 2: Co produced by Bee Wayne, edited and engineered by Justin Kohne.

1069
00:58:29,760 --> 00:58:31,840
Speaker 2: Music by Nick Chambers.

1070
00:58:31,600 --> 00:58:33,240
Speaker 1: Artwork by Doegon Kreger.

1071
00:58:33,520 --> 00:58:36,200
Speaker 2: You can now watch episodes of My Mama Told Me

1072
00:58:36,320 --> 00:58:40,600
Speaker 2: on YouTube, follow at My Mama Told Me and subscribe

1073
00:58:40,640 --> 00:58:41,440
Speaker 2: to our channel,