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Speaker 1: Would you spill? You didn't spill on your computer, did you?

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Speaker 2: No?

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Speaker 3: I just spilled this, like I don't know. My girlfriend

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Speaker 3: had plants that are like in water.

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Speaker 1: No, do you know?

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Speaker 3: That's really interesting? You can you can grow plants just

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Speaker 3: in water. You don't have a certain and it's just

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Speaker 3: and it just works.

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Speaker 1: I love that you. It's pretty cool you and I

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Speaker 1: have the same plant understanding and our partners have the

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Speaker 1: different kind because I did the same ship. Like my

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Speaker 1: wife had these clippings like it's just in water though,

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Speaker 1: where you have to put those source like thee I

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Speaker 1: live like, I'm.

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Speaker 2: Like crazy, it's really cool. But but isn't that what

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Speaker 2: hydro is? I guess, so wasn't that weed grown just water?

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Speaker 1: I'm not a scientist. I just smoke this ship.

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Speaker 3: But but I have to say, I do feel like

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Speaker 3: these roots are searching for soil. I do think that's

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Speaker 3: ultimately what they're doing.

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Speaker 2: It also sounds like just a poetic thing to say

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Speaker 2: about yourself.

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Speaker 1: Searching for soil. Tired of being in your glass bas

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Speaker 1: your glass menagerie, if you will, I don't know.

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Speaker 2: DAD just feels like sometimes I'm tired of being in

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Speaker 2: my glass vase.

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Speaker 1: These roots are searching for soil.

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Speaker 2: Hello the Internet, and welcome to season four oh nine,

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Speaker 2: Episode five of Dirty's I guesst the Thrilling season finale?

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Speaker 1: What season?

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Speaker 2: That's a production of season four o nine. Everyone should

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Speaker 2: clean up your surfaces with Yeah, I was wondering where

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Speaker 2: I'd seen that number before.

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Speaker 1: We should have branded God damn it. See that could

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Speaker 1: have been add money we could.

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Speaker 2: Have got get out of season four o nine again.

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Speaker 1: Yeah, yeah, yeah, we're gonna tell you, Hey, we got

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Speaker 1: season four o nine coming up. Right. We've been saying

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Speaker 1: this for a second.

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Speaker 2: Podcast where we take a deep dive into American shared consciousness.

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Speaker 2: And it's Friday, October tenth, twenty twenty five.

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Speaker 1: Ten ten ten, ten ten, Good buddy, they already know

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Speaker 1: ten ten three to one. Remember all those collect call numbers?

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Speaker 1: No you do remember ten ten three two one?

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Speaker 2: That was like I dial down the middle.

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Speaker 1: A L l att C A L l A T T.

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Speaker 1: That's the one that I I don't remember. Ten ten

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Speaker 1: Oh you man, former, this is yep, I remember this

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Speaker 1: dial around service. Hell yeah, they had John Lithgown on

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Speaker 1: the commercials. Anyway, That's what I'm gonna say. In the

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Speaker 1: old folks home in a few years or now. It's

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Speaker 1: also National Angel Food Cake Day National. It's a lot

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Speaker 1: of National cake decorating Day, National Handbag Day, National walk

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Speaker 1: to a Park Day, National mist France. I know man

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Speaker 1: went to a park with cakes and handbell talk to

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Speaker 1: a park if anything bro there. And I'm glad you

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Speaker 1: brought that up. Thank you, Miles. I'm glad you said that.

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Speaker 2: It's about fucking time somebody said somebody brought that back.

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Speaker 2: My name is Jack O'Brien ak, and I would piss

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Speaker 2: in the Green Mile, and I'd piss in Apollo thirteen

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Speaker 2: just to be Tom Hanks, the guy who has to

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Speaker 2: piss in every movie you've seen dot ad apt oh

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Speaker 2: way off on the dot at ap doc that one

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Speaker 2: courtesy of you current do that on television. You certainly

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Speaker 2: that on television, but you can piss all over every

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Speaker 2: movie that I saw as a child.

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Speaker 1: Mm hmm.

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Speaker 2: Anyways, thank you you current do that on television. I'm

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Speaker 2: thrilled to be joined as always by my co host

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Speaker 2: mister Miles Gray as well Greg he the Lord of Legersham.

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Speaker 1: In my final day in the nation's capital. It's been

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Speaker 1: a great run, great sandwiches, great weather. Finally got to

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Speaker 1: feel a little bit of fall weather because La is

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Speaker 1: still still in the eighties, right, We're still in the yeah, yeah, yeah.

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Speaker 1: Today was like the first kind of like cooler day.

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Speaker 1: And God, the way i've I've I brought this hoodie

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Speaker 1: to where because I haven't been able to wear a

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Speaker 1: hooded sweater for months now living in LA. Finally did it.

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Speaker 1: Thank you to the mid Atlantic. We love you getting chili.

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Speaker 2: It's getting chilly in the mornings back here now and

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Speaker 2: I can report that to you. Do you at the

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Speaker 2: end of any trip to the nation's capitol, do you

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Speaker 2: say it's been fun spending this time with you in

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Speaker 2: the nation's capital, the Majesty?

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Speaker 1: No, I know you always ask me to say that,

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Speaker 1: and I to this day I refuse to sort of

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Speaker 1: debate myself.

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Speaker 2: I'm hanks brained this morning, guys, What can I say?

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Speaker 2: Miles were thrilled to be joined in our third seat

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Speaker 2: by a hilarious comedian and actor who you've seen in

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Speaker 2: the classic Insider Trading Brian's Hat Courtroom sketch from I

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Speaker 2: Think You Should Leave, one of my favorite comedic battlements.

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Speaker 2: Performing stand ups stand ups on stages, making televisions across

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Speaker 2: this land doing make them ups on the internets. The

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Speaker 2: host of The Wonderful Show podcast, But outside It's Andrew Michall.

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Speaker 3: Hello, Hello, thank you all for having me. I am

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Speaker 3: not in Washington, d C. But I am and I

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Speaker 3: guess I would call this the West Coast capital, Los Angeles.

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Speaker 3: You know this is I think this is DC.

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Speaker 1: West center of the world. I remember, did you. I mean,

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Speaker 1: wasn't that an idea you had as a kid where

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Speaker 1: you thought the city you lived in was the capital.

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Speaker 1: Like I thought LA was the capital of America for

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Speaker 1: the longest time, and then I learned what DC was.

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Speaker 1: I'm like, wait what I thought it's La. And then

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Speaker 1: then I learned Sacramento as a capital. I'm like, this

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Speaker 1: is not right. This is not right even for this

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Speaker 1: it's just six year life. It's just been a series

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Speaker 1: of disappointments. Ever, Yeah it was. Yeah, being seventeen, that

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Speaker 1: was a rough year. Yeah it was a rough year

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Speaker 1: for you. Yeah us history nine to eleven That also

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Speaker 1: happened when I was seventeen. But yeah, on my mind, did.

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Speaker 2: You have nine to eleven envy as a person on

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Speaker 2: the West Coast?

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Speaker 1: I mean, I feel like I've said it before. I

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Speaker 1: remember I begged my mom to pick me up from

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Speaker 1: school on nine to eleven because I wanted to get out.

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Speaker 4: Of a test right But luckily there was I think

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Speaker 4: a lot of people rightly.

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Speaker 1: Were just like what the fuck could happen? And you know,

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Speaker 1: because like all the kids were leaving, and it almost

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Speaker 1: felt like, do my parents love me for the amount

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Speaker 1: of kids that were leaving school on nine to eleven?

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Speaker 1: Because like your cup, we're taking out of score, tak

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Speaker 1: out of school, bah blah blah blah.

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Speaker 5: And I'm like Mom, She's like, I'm fucking working and

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Speaker 5: I'm like, okay, what yeah, no, And I was like,

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Speaker 5: can you at least get me like around two, because like,

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Speaker 5: I have a class I.

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Speaker 1: Do not want to be. She was like, you fucking idiot.

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Speaker 1: Fun I've never been.

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Speaker 3: I had never been to New York as a care

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Speaker 3: then when nine to eleven happened, I didn't, you know,

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Speaker 3: I was in middle school or something, and I didn't

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Speaker 3: know what the twin Towers were. I mean, I just

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Speaker 3: didn't have a reference point for so I was like, okay,

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Speaker 3: I just didn't know.

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Speaker 1: I was okay. Another Tuesday in the books.

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Speaker 3: Actually hitchhike to school that day and I got a

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Speaker 3: ride and the person who picked me up told me

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Speaker 3: about it.

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Speaker 2: Sounds like the Bush administration was not the only person

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Speaker 2: who was unprepared on nine to eleven.

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Speaker 1: Also, that would I think that would be fair to

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Speaker 1: say both of you. And also, you know that triggered

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Speaker 1: because I was supposed to. I was a good stood

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Speaker 1: up until my senior year of high school, when I

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Speaker 1: completely just like, what the fuck is this all for?

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Speaker 1: Because I was so terrible in physics. I paid my

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Speaker 1: old a teacher I had in junior high I bartered

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Speaker 1: weed with him so he could buy me the teachers

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Speaker 1: addition to the physics textbook we were using in my

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Speaker 1: physics class, so I had all the tests. He's like,

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Speaker 1: you got a hook up. I got a hook up

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Speaker 1: exactly like you got that teacher's credential to buy like

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Speaker 1: teacher only texts that. Because my teacher was like he

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Speaker 1: did everything out of the workbook. I had that. And

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Speaker 1: then I started selling the quizzes and the tests to

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Speaker 1: other desperate honor students, and I had a whole racket going,

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Speaker 1: baby wow, And the Statute of limitations is over on

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Speaker 1: that I checked the weed to test result pipeline is definitely.

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Speaker 2: It's impressive. It Miles was much cooler than I was

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Speaker 2: in high school. Andrew, we're going to get to know

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Speaker 2: you a little bit better in a moment. Okay, first

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Speaker 2: we're going to tell the listeners a couple Okay.

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Speaker 1: Yeah, you took a long pause there. Okay, Okay, you're in?

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Speaker 1: Is that okay with you? You're still in?

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Speaker 2: Right? Yeah?

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Speaker 1: Yeah, Yeah, that's the thing. Yeah, We're gonna get to

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Speaker 1: know you a little bit better. Is that?

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Speaker 6: Is that?

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Speaker 2: Al right?

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Speaker 1: Well?

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Speaker 3: The one thing is I'm really into consent and I

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Speaker 3: and I do consent, so yes.

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Speaker 1: Good wonderful.

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Speaker 2: Uh. First, a couple of things we're talking about. We're

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Speaker 2: going to talk about the James Comy prosecution. How how's

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Speaker 2: that case shaping up? Because you know, we talked, we

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Speaker 2: talked about how it looked a little suspicious that Donald

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Speaker 2: Trump sent out a tweet that was clearly supposed to

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Speaker 2: be a private message, and then the prosecution happened, and

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Speaker 2: everyone's like, this doesn't they don't.

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Speaker 1: Have a case, so to speak. So we'll just talk

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Speaker 1: about what, like, what we've discovered, what's the talking about.

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Speaker 1: We've been on Nobel watch.

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Speaker 2: This week Nobel Watch. Donald Trump believes that he's about

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Speaker 2: to get the Nobel Peace Prize. I don't think anybody

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Speaker 2: else really thinks that that's gonna.

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Speaker 1: They've even said there was a headline like on Thursday

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Speaker 1: that or Wednesday that was like Nobel Peace Board. Is

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Speaker 1: like laughable that he thinks he's even anywhere close to

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Speaker 1: the Peace Prize.

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Speaker 2: Anyways, that country, Norway is very very scared now. They're like, oh,

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Speaker 2: he's gonna be mad at us.

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Speaker 1: So about that.

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Speaker 2: We'll talk about Jordan Peterson another This is deja vous.

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Speaker 2: Jordan Peterson almost died and nobody noticed again this summer.

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Speaker 2: That happened a few years back. But anyways, this is

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Speaker 2: somebody who I take all of my health advice from.

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Speaker 2: So interested to learn more there.

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Speaker 1: What's going on there?

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Speaker 2: Yeah, we'll talk about AI and schools AI in Disney

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Speaker 2: movies and Disney the old urban legend that Disney will

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Speaker 2: not let somebody die in Disneyland, which it's.

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Speaker 1: Kind of an urban legend. And I was ready for

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Speaker 1: this one to have you ever known will die on

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Speaker 1: the physical premises, like get them the fu out of here.

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Speaker 1: Like it's like he's like, don't you brought the odie

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Speaker 1: bitch to my house. I don't want the oldie.

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Speaker 2: Bitch at my house exactly that that scene from pulp fiction.

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Speaker 2: So it it like seems like an urban legend. But

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Speaker 2: then the reason that people started saying this is so

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Speaker 2: fucked up that it's like, I guess, not.

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Speaker 1: Really an urban legend. I guess they kind of did

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Speaker 1: this at one point.

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Speaker 2: Sure, all of that plenty more, But first, Andrew, we

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Speaker 2: do like to ask our guests, what is something from

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Speaker 2: your search history that's revealing about who you are?

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Speaker 3: Well, I just, you know, speaking of cold mornings, I

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Speaker 3: was just looking up the first light for Los Angeles

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Speaker 3: because I'm a surfer.

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Speaker 1: I mentioned this last time.

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Speaker 3: I think, and I often wake up at four in

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Speaker 3: the morning or to go surfing, and I.

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Speaker 1: Try to get over. I try.

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Speaker 3: I try to get there at the moment that the

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Speaker 3: first light hits the horizon, which right now is about

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Speaker 3: at five thirty am.

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Speaker 1: So that is whimsical as fuck.

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Speaker 2: Andrew, You're having your best life.

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Speaker 1: I'm out there right right right.

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Speaker 3: I do it like one. So I would say, I

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Speaker 3: mean I started a couple of times a week, but

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Speaker 3: I would say once a week. I wake up at

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Speaker 3: at you know, four or four thirty, and I'm out

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Speaker 3: there in the water by five thirty. And then when

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Speaker 3: you out I surf for like two hours. I try

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Speaker 3: to say you two hours. So but it's pretty cool

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Speaker 3: to be because often if I get out there that early,

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Speaker 3: I'm the only one out there for like the first

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Speaker 3: twenty minutes. And and there I went, and it was

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Speaker 3: like a little too dark. I kind of didn't time

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Speaker 3: it properly, and I was like basically in pitch black

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Speaker 3: for like twenty minutes, and it was kind of big

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Speaker 3: waves and it was definitely a little scary.

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Speaker 1: Yeah, but it was really it was really nice.

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Speaker 3: Once the sun came up and then a couple more

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Speaker 3: people came out, it was like, yeah, it's really just

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Speaker 3: the most unbelievable way to spend the morning, to like

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Speaker 3: wake up with the sun on the ocean.

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Speaker 2: You turn to a fellow surfer and say, man, God,

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Speaker 2: sure had some paintbrush. You know.

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Speaker 3: It's funny you say that because all all the pro

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Speaker 3: surfers are really into God, like true are They're all

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Speaker 3: really religious, and it's so strange, like like every pro

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Speaker 3: surfer like their their Instagram bio is like it's all

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Speaker 3: thanks to God and like really anything.

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Speaker 1: Yeah, they're all really religious. It's like Kelly and Ship

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Speaker 1: the only one I name.

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Speaker 3: I don't know what Kelly Slater, but like the woman

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Speaker 3: who's who's you know, arm got ripped off by a shark.

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Speaker 1: She's quite famous, she's very cool. You can just like that.

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Speaker 3: Just anytime I see like a video of a surfer

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Speaker 3: on my Instagram, whatever, I click on their profile, it's

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Speaker 3: always something about God.

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Speaker 1: I don't know.

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Speaker 3: There's like it's so interesting, like the idea that like

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Speaker 3: some people get really hardcore into nature and it's like

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Speaker 3: completely divorced from God, and then other people get really

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Speaker 3: into nature and it's like really find to God.

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Speaker 1: And it's like.

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Speaker 3: What what makes you go down one path versus another

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Speaker 3: when you get really into nature?

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Speaker 1: Yeah yeah, yeah, like thank you Jesus?

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Speaker 3: Yea, yeah, it's like why is Jesus part of this?

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Speaker 1: But anyway, so yeah, I've.

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Speaker 2: Acause you're feeling gratitude, you know, you.

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Speaker 3: Know, I usually hit the you know, the ocean from

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Speaker 3: five thirty to seven thirty and then church opens at eight,

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Speaker 3: so it's kind of perfect, perfect for me.

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Speaker 2: So it's kind of just lying like you're on that

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Speaker 2: Wallberg timeline. It might be only a matter of time

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Speaker 2: before you're up getting prayed up.

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Speaker 1: The good Christ in the morning's next.

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Speaker 2: I like to have prayed three hours before anyone else

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Speaker 2: wakes up, so I'm so much better than them.

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Speaker 3: I get all his attention. God's right focuses on those.

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Speaker 1: While you're sleeping, exactly, I'm shredding under God's watchful eye. Bitch.

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Speaker 3: Yeah, he's exhausted by the time you're praying. He's not

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Speaker 3: going to answer anything you're asking for.

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Speaker 1: He's like these people again.

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Speaker 2: Yeah, it does remind me of the opening scene from Jaws.

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Speaker 2: Not that I hope that's not what's in your head

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Speaker 2: when you're going out there.

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Speaker 1: But no, no, I don't think about it.

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Speaker 7: Yeah, okay, what's something you think is underrated? Okay, I'm

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Speaker 7: as an adult. I'm trying to learn a new language,

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Speaker 7: which you know is something that I feel like you

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Speaker 7: kind of stop trying to do after you take, you know,

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Speaker 7: a second language in high school, Like I learned Spanish

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Speaker 7: and French and high school and college and I kept

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Speaker 7: up with those a little bit, but not too much.

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Speaker 7: But I'm just I like Japan a lot. I've traveled

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Speaker 7: to Japan many times. I think I mentioned on that

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Speaker 7: on the podcast before. And I'm trying to learn Japanese

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Speaker 7: and it's really, really, really hard, but I just feel

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Speaker 7: like I've always been interested in learning other language, and

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Speaker 7: I just have been like, oh, it's too hard, and

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Speaker 7: it obviously is, but I'm just like, you know what,

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Speaker 7: I'm going to do it. So I'm working on it

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Speaker 7: every day and it's been really fun.

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Speaker 1: Miles.

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Speaker 2: You recently started taking lessons on du a lingo right

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Speaker 2: for Japanese.

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Speaker 1: Yeah, yeah, yeah, I'm doing I've got a street going

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Speaker 1: about johan and you know about mi zoo and stuff.

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Speaker 1: Gohank Mizu no no no doabo? So did she went

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Speaker 1: to the Jimmy study to get in all that? Some

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Speaker 1: of that you're learning? That's awesome? How long?

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Speaker 2: Yeah?

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Speaker 1: Yeah, the due lingo. Okay, I'm forty one now, so

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Speaker 1: about forty one years since i was born. My mother.

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Speaker 3: You're you're you're you're native Japanese, right yeah yeah the

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Speaker 3: kid yeah yeah yeah, yea yeah yeah lifelong yeah yeah.

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Speaker 1: You were born here, You're born in America, but you

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Speaker 1: learn Japanese grown ank your baby, you know what I mean? Okay,

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Speaker 1: America a baby wow, my mom. Yeah, my dad also

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Speaker 1: his family was also brought over here many centuries ago

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Speaker 1: on boats, I believe for a timeshare tour that went

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Speaker 1: terribly wrong from Africa sixteen hundred just.

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Speaker 3: Three hour Yeah yeah, yeah, but that suckered into it.

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Speaker 1: No, Japanese is great, I've yeah.

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Speaker 4: Anyway, I'm like, not like you keep it up easy, yeah,

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Speaker 4: I mean because I have a I have a kid now,

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Speaker 4: so I'm speaking Japanese to my son all the time

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Speaker 4: because you're kids learning like being yeah, yeah, yeah, he

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Speaker 4: speaks Japanese because you know, like with my mom, it's

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Speaker 4: I was always I was talking about this with some

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Speaker 4: of my family or my in laws the other day.

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Speaker 1: It was like all my mom's friends are Japanese immigrants,

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Speaker 1: So when I would go hang out with my mom's friends,

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Speaker 1: I was always around just Japanese being spoken all the

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Speaker 1: time with my son. I'm really my mom and I

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Speaker 1: are really the only sort of like inputs for Japanese,

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Speaker 1: so like I have to try and really speak a

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Speaker 1: lot of Japanese and like also try and get them

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Speaker 1: to watch stuff in Japanese. I'm totally thankful for that. Later,

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Speaker 1: I definitely identify with the learning another language thing, because

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Speaker 1: like I have like la Spanish where it's like I

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Speaker 1: can get by, but I would love to like fully

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Speaker 1: communicate in Spanish, and I'm always doing the same thing.

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Speaker 1: I don't know, dude, it's probably I know it's.

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Speaker 3: It seems so hard, it seems so overwhelming, but it's like, well,

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Speaker 3: you just have to start and then like make sure

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Speaker 3: you do it at least every day.

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Speaker 1: Have you got to Japan with your kid? Yeah? Yeah, yeah, yeah,

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Speaker 1: one of the first times you're able to travel. I

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Speaker 1: went there, and now that he's like walking and talking

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Speaker 1: and like has like able to have memories, I'm like, oh,

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Speaker 1: we got to get you back there too. That's awesome. Yeah,

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Speaker 1: it's a great place. He's online, He's online everybody he

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Speaker 1: came online. We gotta get him over there. He tapped

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Speaker 1: into the world and immediately mm hmm. But yeah, learn

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Speaker 1: of me language.

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Speaker 3: It's it's really overwhelming, but I think it's I don't know,

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Speaker 3: it feels like a good use of time.

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Speaker 1: In your brain, yea, in your brain for sure, Yeah.

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Speaker 2: I guess undeniably great.

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Speaker 1: What is something you think is overrated?

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Speaker 3: I gotta say using AI for absolutely anything, I just

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Speaker 3: I just I have so many friends that use it

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Speaker 3: and they act like they need to, and I'm like,

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Speaker 3: what were you doing two years ago? You know you

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Speaker 3: could anything you can do, Like I've never used it

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Speaker 3: for anything.

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Speaker 1: I've never used at GBT.

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Speaker 3: I'm just like, because all I hear is how bad

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Speaker 3: it is, and then people I respect still use it,

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Speaker 3: And I'm like, well, if it's bad, but then you're

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Speaker 3: using it, Like I don't know, it just seems quite

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Speaker 3: easy to not use it if the consensus is in

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Speaker 3: that it's pretty bad for both the environment and people's jobs.

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Speaker 1: And the future of the civilization.

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Speaker 3: Just as like I don't really see the positives, and

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Speaker 3: I feel like it's pretty easy to.

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Speaker 1: Do anything you need to do without it, right.

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Speaker 2: It has maybe absolutely revolutionized the world of email jobs.

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Speaker 2: There's just meaningless emails that nobody has read, pinging back

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Speaker 2: and forth at an incredible rate, Like you could have

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Speaker 2: possibly read this in the time that it took you

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Speaker 2: to write this five hundred word response, geez.

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Speaker 3: And every company, you know, every company is just like

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Speaker 3: trying to proudly tell you that AI is now part

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Speaker 3: of their shit, and it's just like, that's not a pot,

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Speaker 3: that's me, that's a negative.

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Speaker 1: That's that's no, that's just them, that's them winking at

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Speaker 1: all the other investors who are over leveraged in AI

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Speaker 1: to be like, don't worry, we get it. We have

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Speaker 1: like enterprise, the enterprise use, the large scale business use

401
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Speaker 1: of AI is the like one of the few roads

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Speaker 1: to profitability for this thing. So they're like, don't worry, man,

403
00:18:20,440 --> 00:18:22,040
Speaker 1: we've got a lot of money in this too, investment.

404
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Speaker 1: We're going to try and make this shit seem like true.

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Speaker 3: Also, am I wrong in thinking that none of it

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Speaker 3: is actually even AI? It's just like predictive words or

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Speaker 3: is there stuff that is actually AI?

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Speaker 2: Well, it's what they've decided to call AI. Like there's

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Speaker 2: it's not AI.

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Speaker 3: It's like it's not right, Like it's just what the

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Speaker 3: most likely next word is going to be, like a.

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Speaker 1: Large language model is like probably again, it's it's good

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Speaker 1: marketing because the idea. It's like it's artificial intelligence. It's no,

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Speaker 1: it's fucking auto correct, you know, right, It's like it's

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Speaker 1: still an algorithm.

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Speaker 3: It's just that we're a little more the what's happening

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Speaker 3: inside the box is a little more mysterious. So we

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Speaker 3: call it AI, but I don't think it actually is.

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Speaker 2: Yeah, yeah, it's a it's a good trick that has

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Speaker 2: formed a lot of people, I think.

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Speaker 1: But I think there was a thing that was going

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Speaker 1: around of like that, did you let David Simon quote

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Speaker 1: about AI? I wasn't sure if it was real or not.

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Speaker 1: You know, the guy created the wire, what was AI?

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Speaker 1: I mean a lot of people were posting and I'm like,

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Speaker 1: it's probably I mean, it doesn't didn't seem crazy, but

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Speaker 1: he was just sort of there's like an exchange with

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Speaker 1: like a Seeds being interviewed and it said or who

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Speaker 1: is it? It was our Shapiro, like on NPR in

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Speaker 1: twenty twenty three, and he said, okay, so you've spent

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Speaker 1: your career creating television without AI. And I could imagine

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Speaker 1: today you're thinking, boy, I wish I had that tool

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Speaker 1: to solve those thorny problems. David Simon, what Shapiro Shapiro

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Speaker 1: that says what fuck Shapiro saying or saying you? And

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Speaker 1: then David Simon cuts him off. You imagine that Shapiro

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Speaker 1: goes on, boy, if that had existed, it would have

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Speaker 1: it would have screwed me over, Simon. I don't think

438
00:19:58,440 --> 00:20:01,840
Speaker 1: AI can remotely challenge what writers do at a fundamentally

439
00:20:01,880 --> 00:20:05,159
Speaker 1: creative level. Marshabroke is on. But if you're trying to

440
00:20:05,200 --> 00:20:08,200
Speaker 1: transition from scene five to scene six and you're stuck

441
00:20:08,240 --> 00:20:10,960
Speaker 1: with that transition, you can imagine plugging that portion of

442
00:20:10,960 --> 00:20:13,080
Speaker 1: the script into an AI and say, give me ten

443
00:20:13,119 --> 00:20:16,280
Speaker 1: ideas for how to transition this, Simon, I'd rather put

444
00:20:16,320 --> 00:20:17,480
Speaker 1: a gun in my mouth.

445
00:20:20,920 --> 00:20:22,919
Speaker 3: And you know, hopefully he puts his guns in that

446
00:20:23,000 --> 00:20:25,119
Speaker 3: in his mouth at Disneyland and is the first to

447
00:20:25,200 --> 00:20:25,600
Speaker 3: die there.

448
00:20:25,720 --> 00:20:28,119
Speaker 1: Yeah, it could be really cool. We'll see, really, we'll see.

449
00:20:28,119 --> 00:20:29,760
Speaker 1: They might have a time machine to prevent that.

450
00:20:31,320 --> 00:20:33,680
Speaker 2: It reminds me of the conversation from Office Space where

451
00:20:33,680 --> 00:20:36,080
Speaker 2: he's like, does someone ever say you have a case

452
00:20:36,080 --> 00:20:36,879
Speaker 2: of the mondays?

453
00:20:38,160 --> 00:20:40,000
Speaker 1: What ya? No?

454
00:20:40,760 --> 00:20:43,840
Speaker 2: Hell? Hell no, man, believe you get your ass kicked

455
00:20:43,880 --> 00:20:48,000
Speaker 2: saying that it's just like the least anyone has ever

456
00:20:48,119 --> 00:20:48,679
Speaker 2: gone with a.

457
00:20:48,720 --> 00:20:53,600
Speaker 1: Question what what? Well?

458
00:20:53,640 --> 00:20:56,560
Speaker 2: You know, I just imagine that's what you imagine? Also

459
00:20:56,600 --> 00:21:00,000
Speaker 2: got like some jewels from pulp fiction and the yeah, yeah, yeah,

460
00:21:00,480 --> 00:21:03,960
Speaker 2: you imagine is that? Oh so you have an imagination?

461
00:21:05,640 --> 00:21:09,359
Speaker 1: What? All right? Well, we're gonna talk about AI later

462
00:21:09,920 --> 00:21:11,040
Speaker 1: and how it's.

463
00:21:10,920 --> 00:21:13,240
Speaker 2: Actually, I don't know if you've seen the latest Tron movie,

464
00:21:13,240 --> 00:21:14,520
Speaker 2: but it's pretty fucking cool.

465
00:21:14,560 --> 00:21:20,320
Speaker 1: Dude, I can't interest. I'm all in. You're all in.

466
00:21:20,400 --> 00:21:22,800
Speaker 1: You've always said sick dude, he's got away with words

467
00:21:22,840 --> 00:21:27,120
Speaker 1: and colds and coercion and stuff. All right, we're gonna

468
00:21:27,119 --> 00:21:27,679
Speaker 1: take a break.

469
00:21:27,720 --> 00:21:42,680
Speaker 2: We'll be right back, and we're back' And so we

470
00:21:42,680 --> 00:21:45,280
Speaker 2: we do like to check in with the administration.

471
00:21:45,440 --> 00:21:47,040
Speaker 1: We do little known factor.

472
00:21:47,080 --> 00:21:49,480
Speaker 2: One of the one of the things that is giving

473
00:21:49,560 --> 00:21:50,920
Speaker 2: us a little bit of hope in the past couple

474
00:21:50,920 --> 00:21:55,520
Speaker 2: of weeks is this thing that people are calling a

475
00:21:55,600 --> 00:21:59,520
Speaker 2: designed incompetence I believe where it's that an authoritarian leader

476
00:21:59,600 --> 00:22:04,159
Speaker 2: will put people in power who suck at their jobs

477
00:22:04,240 --> 00:22:06,200
Speaker 2: because they know that they will be loyal to them,

478
00:22:06,240 --> 00:22:09,639
Speaker 2: like people who are unqualified will therefore be more willing

479
00:22:09,640 --> 00:22:11,000
Speaker 2: to do whatever the fuck they say.

480
00:22:11,160 --> 00:22:12,879
Speaker 3: And that's that why you guys had me on the

481
00:22:12,880 --> 00:22:13,800
Speaker 3: show today.

482
00:22:14,280 --> 00:22:15,520
Speaker 2: We didn't want to put it like that.

483
00:22:16,040 --> 00:22:18,000
Speaker 1: Is that why you asked me to do the episode.

484
00:22:18,080 --> 00:22:21,080
Speaker 1: The main thing we look for, you guess, is loyalty.

485
00:22:21,240 --> 00:22:25,480
Speaker 1: Loyalty and incompetence. Those are we like to have back

486
00:22:25,520 --> 00:22:27,040
Speaker 1: on on Fridays.

487
00:22:26,840 --> 00:22:30,880
Speaker 4: That's right, But yeah, I mean like it is.

488
00:22:31,200 --> 00:22:34,240
Speaker 1: I mean, there's always stories that are just with ominous

489
00:22:34,240 --> 00:22:37,720
Speaker 1: headlines about the just toilet bowl trajectory of the country,

490
00:22:37,880 --> 00:22:41,840
Speaker 1: but there's always an undercurrent of total incompetence to this.

491
00:22:42,080 --> 00:22:45,199
Speaker 1: And obviously the MAGA movement is acting out its agenda

492
00:22:45,200 --> 00:22:47,240
Speaker 1: in real time without much resistance. But it seems that

493
00:22:47,320 --> 00:22:50,320
Speaker 1: in a lot of cases the biggest form of resistance

494
00:22:50,720 --> 00:22:54,119
Speaker 1: comes in the form of self owns, basically where they're like,

495
00:22:54,119 --> 00:22:57,160
Speaker 1: oh shit, we said that. Oh well, that that takes

496
00:22:57,160 --> 00:22:58,880
Speaker 1: out a whole legal argument we had.

497
00:22:58,720 --> 00:23:03,359
Speaker 2: For something like the Democrat strategy is going into a

498
00:23:03,359 --> 00:23:05,200
Speaker 2: World Cup game, You're like, I hope they like get

499
00:23:05,240 --> 00:23:09,040
Speaker 2: as at least as many own goals as they score

500
00:23:09,119 --> 00:23:13,400
Speaker 2: goals on us. You know, that'd be sick. You guys

501
00:23:13,400 --> 00:23:14,840
Speaker 2: should try kicking it in your own one.

502
00:23:14,880 --> 00:23:16,919
Speaker 1: I don't know if we can just get them to

503
00:23:16,960 --> 00:23:18,760
Speaker 1: do a bunch of own goals though, then we don't

504
00:23:18,760 --> 00:23:21,520
Speaker 1: have to show up. But yeah, like sort of this

505
00:23:21,640 --> 00:23:24,520
Speaker 1: COMI trial, like you know, Trump wants to exact revenge

506
00:23:24,560 --> 00:23:27,280
Speaker 1: on the former FBI director because he wasn't a total pushover,

507
00:23:27,359 --> 00:23:31,080
Speaker 1: and we've spoken about how like numerous US attorneys refused

508
00:23:31,160 --> 00:23:34,080
Speaker 1: to work on this case specifically, or resigned to avoid

509
00:23:34,160 --> 00:23:36,960
Speaker 1: having to be like the lawyer who went to law

510
00:23:37,000 --> 00:23:40,439
Speaker 1: school and knows the law to be Like, yeah, so

511
00:23:40,680 --> 00:23:46,080
Speaker 1: I'm prosecuting this one because again the charges are fucking flimsy,

512
00:23:46,119 --> 00:23:49,160
Speaker 1: and we know they're bullshit. Because the prosecution only happened

513
00:23:49,240 --> 00:23:52,280
Speaker 1: after Trump did an oopsie and told the whole world

514
00:23:52,280 --> 00:23:54,399
Speaker 1: that he was directing Pam Bondi to go in like

515
00:23:54,480 --> 00:23:58,639
Speaker 1: go into like revenge mode and like, very Lohan, is

516
00:23:58,640 --> 00:24:01,880
Speaker 1: that a thing? Maybe, Okay, flipy, let's take that. We'll

517
00:24:01,920 --> 00:24:04,919
Speaker 1: take that. We'll take that, adding that to the record

518
00:24:05,440 --> 00:24:09,320
Speaker 1: for consideration, put that on the scrolls. But this whole,

519
00:24:10,280 --> 00:24:14,320
Speaker 1: the whole prosecution has been just a carnival of errors,

520
00:24:14,320 --> 00:24:16,400
Speaker 1: and every day we're learning something new. So like that

521
00:24:16,480 --> 00:24:20,040
Speaker 1: one truth social post, everyone's like that was supposed to

522
00:24:20,040 --> 00:24:22,880
Speaker 1: be like a text, right wait wait what yeah?

523
00:24:23,840 --> 00:24:26,760
Speaker 2: Why did you just write a note to her saying

524
00:24:26,920 --> 00:24:29,280
Speaker 2: do illegal things in all caps?

525
00:24:29,320 --> 00:24:33,800
Speaker 1: And what is known as a vindictive prosecution. We found

526
00:24:33,800 --> 00:24:36,560
Speaker 1: out that that was straight up meant to be a

527
00:24:36,640 --> 00:24:41,399
Speaker 1: DM and so you know, sorry about that. And again

528
00:24:41,960 --> 00:24:45,080
Speaker 1: that even that moment has given Comey's lawyers a chance

529
00:24:45,119 --> 00:24:47,480
Speaker 1: to have the case dismissed, like on the basis of

530
00:24:47,520 --> 00:24:49,919
Speaker 1: this being a vindictive prosecution, and they would be like,

531
00:24:50,000 --> 00:24:53,720
Speaker 1: I'm going to point to this post from the actual

532
00:24:53,800 --> 00:24:56,720
Speaker 1: President of the United States. But even then, right, even

533
00:24:56,760 --> 00:24:59,280
Speaker 1: if the trial goes forward in January schedule, the d

534
00:25:00,000 --> 00:25:02,200
Speaker 1: they still has to prove the case, which is again

535
00:25:02,560 --> 00:25:04,520
Speaker 1: that this is all about the Hillary emails and then

536
00:25:04,680 --> 00:25:08,199
Speaker 1: pretend that he essentially lied to Congress about authorizing a

537
00:25:08,320 --> 00:25:12,399
Speaker 1: leak to the press about the email investigation. And you know,

538
00:25:12,440 --> 00:25:14,920
Speaker 1: they were also under the clock to try and get

539
00:25:15,160 --> 00:25:17,800
Speaker 1: like get it under this before the statute of limitations

540
00:25:17,880 --> 00:25:19,720
Speaker 1: ran out. There's just like all these things are like

541
00:25:19,840 --> 00:25:22,040
Speaker 1: just fucking get it done. We have to fucking do

542
00:25:22,160 --> 00:25:24,879
Speaker 1: this now. And during this whole thing, like with the

543
00:25:24,920 --> 00:25:27,320
Speaker 1: build up to the Grand jury indictments, the reason this

544
00:25:27,440 --> 00:25:29,680
Speaker 1: was taking so long was the DOJ kept pointing out

545
00:25:29,720 --> 00:25:34,160
Speaker 1: that they have scant or even at just a kind

546
00:25:34,200 --> 00:25:37,480
Speaker 1: of evidence to try and get into a conviction with

547
00:25:37,680 --> 00:25:41,480
Speaker 1: much of this whole case hanging on one guy who

548
00:25:41,520 --> 00:25:46,120
Speaker 1: the DOJ themselves say he is problematic as a witness. O. Yes,

549
00:25:46,160 --> 00:25:48,879
Speaker 1: I'll read this quote problematic faith Daniel Richmond, a law

550
00:25:48,920 --> 00:25:52,760
Speaker 1: professor who who prosecutors alleged Comy authorized to leak information

551
00:25:52,800 --> 00:25:55,520
Speaker 1: to the press, told investigators at the former FBI director

552
00:25:55,560 --> 00:25:58,520
Speaker 1: instructed him not to engage with the media on at

553
00:25:58,640 --> 00:26:03,240
Speaker 1: least two occasions, and unequivocally said Comy never authorized him

554
00:26:03,240 --> 00:26:06,560
Speaker 1: to provide information to a reporter anonymously ahead of the

555
00:26:06,800 --> 00:26:09,399
Speaker 1: twenty sixteen on the election. That goes on to say

556
00:26:09,760 --> 00:26:13,320
Speaker 1: prosecutors at the DJA quote said, using Richmond's testimony to

557
00:26:13,359 --> 00:26:16,720
Speaker 1: prove that Comy knowingly provided false statements to Congress would

558
00:26:16,720 --> 00:26:20,960
Speaker 1: result in quote likely insurmountable problems for the prosecution.

559
00:26:22,359 --> 00:26:22,479
Speaker 2: Uh.

560
00:26:22,800 --> 00:26:25,440
Speaker 1: And they're still they're like, yeah, all right, full steam

561
00:26:25,440 --> 00:26:27,400
Speaker 1: ahead on this. I guess they were just.

562
00:26:27,440 --> 00:26:29,600
Speaker 2: A case being brought by the person who like he

563
00:26:29,720 --> 00:26:32,640
Speaker 2: met at a party in mar A Lago. Yeah, and

564
00:26:32,760 --> 00:26:35,560
Speaker 2: she she was like an insurance She just had a

565
00:26:35,640 --> 00:26:38,600
Speaker 2: law degree and met Trump. Those are her two qualifications

566
00:26:38,640 --> 00:26:39,760
Speaker 2: for bringing this.

567
00:26:39,960 --> 00:26:42,479
Speaker 1: And she was first to his side when the mar

568
00:26:42,480 --> 00:26:45,720
Speaker 1: A Lago documents thing happened. She's like, I'm here, I'm

569
00:26:45,720 --> 00:26:47,920
Speaker 1: a lawyer. I can help. And then she was put

570
00:26:47,960 --> 00:26:51,919
Speaker 1: on woke patrol at the Smithsonian and then now is

571
00:26:52,040 --> 00:26:55,440
Speaker 1: running an attorney at US Attorney's office without Senate confirmation,

572
00:26:55,480 --> 00:26:58,760
Speaker 1: by the way, which is also legally problematic for this

573
00:26:58,840 --> 00:27:01,800
Speaker 1: whole thing. And then that they just had a hearing

574
00:27:02,320 --> 00:27:05,080
Speaker 1: or an arraignment and she had to bring in two

575
00:27:05,160 --> 00:27:08,639
Speaker 1: attorneys from like the like the North Carolina US Attorney's

576
00:27:08,640 --> 00:27:11,359
Speaker 1: Office to help prosecute because she not know how to

577
00:27:11,440 --> 00:27:13,080
Speaker 1: do prosecute.

578
00:27:12,680 --> 00:27:14,720
Speaker 2: Right, she's not a prosecutor in any way.

579
00:27:15,160 --> 00:27:18,720
Speaker 4: All the descriptions where she basically sat silently while the

580
00:27:18,760 --> 00:27:21,160
Speaker 4: other two lawyers were also kind of confused.

581
00:27:21,160 --> 00:27:23,760
Speaker 1: They're like, ah, yeah, we're gonna need some time, your

582
00:27:23,800 --> 00:27:28,800
Speaker 1: honor to learn what this is about. So whatever Komi wants,

583
00:27:28,800 --> 00:27:31,080
Speaker 1: we're fine with as a timeline because we're also learning

584
00:27:31,640 --> 00:27:33,600
Speaker 1: what this made up laws that he learned.

585
00:27:34,240 --> 00:27:37,200
Speaker 2: How bad this case is. Yeah, it's like a case

586
00:27:37,200 --> 00:27:41,399
Speaker 2: that would require the foremost attorney on the foremost prosecutor

587
00:27:41,440 --> 00:27:44,320
Speaker 2: like in this field to pull off. It's like it's

588
00:27:44,359 --> 00:27:47,800
Speaker 2: like they need miraculous brain surgery, and they're like, this

589
00:27:47,920 --> 00:27:51,080
Speaker 2: pediatrist went to medical school. Yeah, and we're gonna put

590
00:27:51,119 --> 00:27:52,760
Speaker 2: her in charge of kind of running the show.

591
00:27:53,040 --> 00:27:56,480
Speaker 1: Yeah, and you're going after someone who used to run

592
00:27:56,520 --> 00:28:00,399
Speaker 1: the US Attorney's office that Halligan is operating. That's James

593
00:28:00,400 --> 00:28:03,359
Speaker 1: Comy used to run that US Attorney's office at one point.

594
00:28:03,400 --> 00:28:07,200
Speaker 1: So it's just like it's all that they're completely out

595
00:28:07,200 --> 00:28:08,760
Speaker 1: of their depth. And I think that's like the one

596
00:28:08,880 --> 00:28:12,359
Speaker 1: thing is that there they still have to prove a case,

597
00:28:12,600 --> 00:28:15,240
Speaker 1: Like it's not just like they broke that. I'm sure

598
00:28:15,280 --> 00:28:17,760
Speaker 1: this will probably lead up with the frustration Trump has

599
00:28:17,880 --> 00:28:20,680
Speaker 1: just like create laws that they can prosecute people under

600
00:28:20,760 --> 00:28:22,639
Speaker 1: where you don't really need much evidence and be like,

601
00:28:22,640 --> 00:28:24,800
Speaker 1: well they violated that thing, which is being a hater,

602
00:28:25,320 --> 00:28:29,600
Speaker 1: so therefore goodbye. But yeah, I think this is like

603
00:28:29,720 --> 00:28:32,119
Speaker 1: one of those few stories that I read and I'm like,

604
00:28:32,720 --> 00:28:35,960
Speaker 1: oh my god, like some this is maybe this won't

605
00:28:36,000 --> 00:28:38,760
Speaker 1: be a total fucking clown show, just be a massive

606
00:28:38,800 --> 00:28:42,400
Speaker 1: waste of time. But again, these people are just you know,

607
00:28:42,440 --> 00:28:44,600
Speaker 1: they're tripping themselves up. Mmm.

608
00:28:45,280 --> 00:28:48,760
Speaker 2: Yeah, seems seems good for us, bad for them for

609
00:28:48,840 --> 00:28:49,880
Speaker 2: the moment, you know what I mean.

610
00:28:49,920 --> 00:28:53,040
Speaker 1: Like it's a bit of light cope for your Friday morning.

611
00:28:53,560 --> 00:28:55,840
Speaker 2: That's that's all we ask. That's all we can ask

612
00:28:55,880 --> 00:28:59,960
Speaker 2: from the news cycle. All right, Meanwhile, as we record

613
00:29:00,120 --> 00:29:02,400
Speaker 2: those just hours away from the announcement of the Nobel

614
00:29:02,440 --> 00:29:07,959
Speaker 2: Peace Prize, and it's probably not going to be Donald Trump,

615
00:29:08,120 --> 00:29:11,720
Speaker 2: which is the only I think this is the most

616
00:29:11,960 --> 00:29:17,040
Speaker 2: I've anticipated the Nobel Peace Prize before. This is usually

617
00:29:17,080 --> 00:29:18,680
Speaker 2: not a thing where I'm on the edge of my seat.

618
00:29:19,120 --> 00:29:22,480
Speaker 2: But people, Yeah, the Nobel committee was like what that

619
00:29:23,000 --> 00:29:27,720
Speaker 2: similar response to uh, to the question we were talking

620
00:29:27,720 --> 00:29:31,000
Speaker 2: about earlier, is like, what the fuck do you mean?

621
00:29:31,480 --> 00:29:36,880
Speaker 2: Why would no? Hell no, I wouldn't use a kick

622
00:29:36,960 --> 00:29:40,800
Speaker 2: for kick for suggesting he get a Nobel Peace Prize.

623
00:29:41,200 --> 00:29:43,600
Speaker 2: I feel like that tonally is very similar to how

624
00:29:43,600 --> 00:29:45,640
Speaker 2: the Nobel Peace Prize committee talks.

625
00:29:46,480 --> 00:29:49,240
Speaker 3: But are they responding are they responding to like Trump's

626
00:29:49,240 --> 00:29:51,400
Speaker 3: administration saying something about it, or.

627
00:29:51,840 --> 00:29:54,640
Speaker 2: Well he said it so much that like it's what

628
00:29:54,760 --> 00:29:58,520
Speaker 2: he expects that I think the mainstream media is like, so,

629
00:29:59,400 --> 00:30:02,840
Speaker 2: what's happening? Do you guys agree? Is this usually how

630
00:30:02,840 --> 00:30:06,640
Speaker 2: you'd like when somebody says frequently enough that they deserve

631
00:30:06,680 --> 00:30:09,240
Speaker 2: it and they're famous enough, is that usually how you

632
00:30:09,240 --> 00:30:10,000
Speaker 2: guys determine?

633
00:30:10,720 --> 00:30:14,800
Speaker 3: That's how oscars go too, right, Oscars campaign. Whoever says

634
00:30:14,840 --> 00:30:16,720
Speaker 3: they deserve it, they usually get it.

635
00:30:17,080 --> 00:30:17,280
Speaker 1: Yeah.

636
00:30:17,360 --> 00:30:21,840
Speaker 2: Yeah, Unfortunately, this is where the incompetence cuts the other

637
00:30:21,880 --> 00:30:26,200
Speaker 2: way for the country of Norway, because the entire nation

638
00:30:26,640 --> 00:30:30,640
Speaker 2: is basically freaked out that he will punish them with

639
00:30:30,720 --> 00:30:34,920
Speaker 2: like tariffs and like hired NATO contributions or even declaring

640
00:30:34,960 --> 00:30:39,040
Speaker 2: Norway an enemy, which seems their right to be worried,

641
00:30:39,360 --> 00:30:42,600
Speaker 2: I would say, because that seems like exactly the sort

642
00:30:42,640 --> 00:30:45,240
Speaker 2: of shit that he would do. The Nobel Committee is

643
00:30:45,280 --> 00:30:48,600
Speaker 2: totally independent and not affiliated with the government in any way,

644
00:30:49,120 --> 00:30:52,880
Speaker 2: but nobody is sure that Trump can actually like make

645
00:30:52,960 --> 00:30:53,600
Speaker 2: sense of that.

646
00:30:53,960 --> 00:30:57,360
Speaker 1: I feel like is where we're at right and it's

647
00:30:57,360 --> 00:30:59,600
Speaker 1: like it's a powerful tool because like anyone who wants

648
00:30:59,600 --> 00:31:02,520
Speaker 1: to plate Trump is like, oh, I'm gonna, I'm gonna,

649
00:31:02,560 --> 00:31:04,320
Speaker 1: I'm gonna, I'm gonna put his name in the hat.

650
00:31:04,360 --> 00:31:06,280
Speaker 1: I'm gonna nominate him if he gives me the thing.

651
00:31:06,360 --> 00:31:10,320
Speaker 1: I like, like Netanyahu said it, Zelenski, I think yesterday

652
00:31:10,440 --> 00:31:14,080
Speaker 1: was basically like, if he gives me Tomahawk missiles, yeah, yeah, yeah,

653
00:31:14,200 --> 00:31:18,440
Speaker 1: Like he's he's truly being like, here's the quid pro quo. Here,

654
00:31:18,520 --> 00:31:20,880
Speaker 1: you give me this, and I'll be like, yeah, dude, guys,

655
00:31:20,920 --> 00:31:23,880
Speaker 1: just give it to him, man, please, which is interesting,

656
00:31:23,960 --> 00:31:26,240
Speaker 1: like that's seems to be like one of the more

657
00:31:26,280 --> 00:31:29,600
Speaker 1: effective carrots that people are wielding right now, just because

658
00:31:30,040 --> 00:31:31,720
Speaker 1: his absolute nobel thirst.

659
00:31:31,880 --> 00:31:34,040
Speaker 2: Yeah, I mean, if we can use his nobel thirst

660
00:31:34,160 --> 00:31:37,360
Speaker 2: to make him like not kill people, that would be cool.

661
00:31:37,680 --> 00:31:39,640
Speaker 2: Like that, Let's let's do it. Let's dangle that.

662
00:31:39,800 --> 00:31:42,720
Speaker 3: Yeah, the Nobel Peace Prizes is now used to inspire

663
00:31:42,840 --> 00:31:46,200
Speaker 3: peace in him. That kind of actually works in reverse.

664
00:31:47,040 --> 00:31:49,120
Speaker 3: He was the most peaceful. It kind of is like, hey,

665
00:31:49,120 --> 00:31:50,840
Speaker 3: we'll give you this, maybe you'd be a little peaceful

666
00:31:50,880 --> 00:31:51,800
Speaker 3: for a couple of weeks.

667
00:31:52,200 --> 00:31:57,200
Speaker 1: What if we pretended you are peaceful and you pretended yeah,

668
00:31:57,200 --> 00:31:59,040
Speaker 1: would that be What if we did like.

669
00:31:59,000 --> 00:32:01,520
Speaker 2: A little role playing game here, so like we're like,

670
00:32:02,000 --> 00:32:06,480
Speaker 2: here's the then what would you do in response to that?

671
00:32:06,520 --> 00:32:09,560
Speaker 1: Would you be like kind of chill? I guess I'm

672
00:32:09,640 --> 00:32:11,720
Speaker 1: kind of peaceful. Huh. I never thought of it that way.

673
00:32:11,760 --> 00:32:14,680
Speaker 1: I am called I don't be president anymore. I finally

674
00:32:14,800 --> 00:32:18,840
Speaker 1: ticked the final box. Yeah I can now finally, I

675
00:32:18,840 --> 00:32:21,720
Speaker 1: can now finally go up and as a beam of light.

676
00:32:22,360 --> 00:32:26,200
Speaker 3: You know, the Nobel Liberal Progressive Democrat Prize. We should

677
00:32:26,200 --> 00:32:27,360
Speaker 3: give that to Trump.

678
00:32:27,520 --> 00:32:28,720
Speaker 1: That's right? Yeah?

679
00:32:28,840 --> 00:32:31,640
Speaker 2: Yeah, His response I think would be like oh, then

680
00:32:31,640 --> 00:32:37,080
Speaker 2: I'll stop bombing Norway. Sir. You haven't bombed Norway yet.

681
00:32:37,520 --> 00:32:41,960
Speaker 2: I mean I would say, maybe, don't worry about that Norway.

682
00:32:42,200 --> 00:32:45,640
Speaker 2: Just you do what's meant to be done, because he'll forget.

683
00:32:46,520 --> 00:32:48,720
Speaker 2: That's true, that he will forget.

684
00:32:48,920 --> 00:32:51,320
Speaker 1: He will if we only remember stuff Hillary Clinton and

685
00:32:51,320 --> 00:32:53,840
Speaker 1: Obama did to him or Biden. Who else is in

686
00:32:53,880 --> 00:32:54,320
Speaker 1: the running?

687
00:32:55,080 --> 00:32:58,640
Speaker 2: Oh Andrew, don't even get me started on all the

688
00:32:58,680 --> 00:33:02,600
Speaker 2: different candidates that we been tracking who are deserving of

689
00:33:02,680 --> 00:33:05,200
Speaker 2: the noble Like I I honestly.

690
00:33:04,800 --> 00:33:06,360
Speaker 1: I have no scientists or something.

691
00:33:06,480 --> 00:33:08,880
Speaker 2: Yeah, yeah, some fucking scientist or there are.

692
00:33:09,840 --> 00:33:13,400
Speaker 3: A Gemini, Microsoft Gemini whatever that Gemini thing is.

693
00:33:14,200 --> 00:33:17,840
Speaker 1: I guess they said they were three two, three hundred

694
00:33:17,920 --> 00:33:20,680
Speaker 1: eighty three hundred and thirty eight candidates have been nominated.

695
00:33:20,960 --> 00:33:26,640
Speaker 1: So he was nominated just recently. But we yeah, a

696
00:33:26,680 --> 00:33:30,960
Speaker 1: lot of people because I mean again, that's the whole thing, like, yeah, yeah,

697
00:33:29,440 --> 00:33:33,200
Speaker 1: well we'll get behind definitely, definitely.

698
00:33:33,440 --> 00:33:36,160
Speaker 2: What I can't believe there are other people nominated besides you.

699
00:33:36,400 --> 00:33:39,720
Speaker 1: That's like what I'm asking, dog, what didn't you like

700
00:33:39,800 --> 00:33:42,240
Speaker 1: stop by seven thousand wars? Dude? And they didn't give

701
00:33:42,240 --> 00:33:45,280
Speaker 1: it to you? Oh? Crazy? All right, We'll we'll look

702
00:33:45,280 --> 00:33:46,280
Speaker 1: into that. We'll look into that.

703
00:33:47,160 --> 00:33:52,320
Speaker 2: And then in self Care News Jordan Peterson, who is

704
00:33:52,840 --> 00:33:55,080
Speaker 2: like he's that that seems to be the main thing

705
00:33:55,120 --> 00:33:57,320
Speaker 2: I always hear for people, is like he tells people

706
00:33:57,440 --> 00:34:00,720
Speaker 2: how to live their life, right, Like, isn't that the

707
00:34:00,760 --> 00:34:02,720
Speaker 2: one he's like making He.

708
00:34:02,760 --> 00:34:05,120
Speaker 3: Certainly guides my life. I'll tell you that, right, I'll

709
00:34:05,120 --> 00:34:08,520
Speaker 3: tell you certainly guided by his principles.

710
00:34:08,520 --> 00:34:11,279
Speaker 2: So I'm out there with the tip of the sun

711
00:34:11,400 --> 00:34:16,240
Speaker 2: peeking over the horizon, see the sky think.

712
00:34:19,760 --> 00:34:20,359
Speaker 1: He yeah.

713
00:34:20,360 --> 00:34:24,480
Speaker 2: But like the thing, the one piece of advice I've

714
00:34:24,520 --> 00:34:27,719
Speaker 2: always heard is like he tells young men to make

715
00:34:27,760 --> 00:34:34,680
Speaker 2: their bed and they're like, whoa, that's crazy, daddy, exactly,

716
00:34:34,760 --> 00:34:38,200
Speaker 2: Like right, he's just like taking advantage of people who

717
00:34:38,800 --> 00:34:41,040
Speaker 2: didn't have a good relationship with their dead.

718
00:34:41,239 --> 00:34:44,320
Speaker 1: He's that's his thing. And also the carnivore diet, Like

719
00:34:44,440 --> 00:34:47,600
Speaker 1: does he meat bro right, and I'm going to lead

720
00:34:47,600 --> 00:34:51,200
Speaker 1: to any no health issues detected. Just take a bunch

721
00:34:51,239 --> 00:34:54,759
Speaker 1: of Benzo diaz of beans and eat red meat and you.

722
00:34:54,680 --> 00:34:57,640
Speaker 2: Will be your room bucco. And then he like starts

723
00:34:57,680 --> 00:35:00,920
Speaker 2: crying for some reason like that those that seems to

724
00:35:00,960 --> 00:35:04,480
Speaker 2: be an encapsulation of what I know of him. Anyways,

725
00:35:04,719 --> 00:35:09,120
Speaker 2: he keeps having like brushes with death that are like

726
00:35:09,239 --> 00:35:11,760
Speaker 2: kept a secret when they happen, and then after the fact,

727
00:35:12,200 --> 00:35:15,480
Speaker 2: his daughter usually is just like yeah, man, he was

728
00:35:15,800 --> 00:35:18,320
Speaker 2: real touch and go there. He was in the ICU

729
00:35:18,600 --> 00:35:21,960
Speaker 2: in this past summer and near death. Nobody knew the

730
00:35:22,040 --> 00:35:26,400
Speaker 2: cause was pneumonia and sepsis, which he also suffers from

731
00:35:26,680 --> 00:35:31,640
Speaker 2: chronic inflammatory response syndrome due to decades of mold exposure,

732
00:35:32,120 --> 00:35:34,759
Speaker 2: and his daughter claimed the new neurological issues are the

733
00:35:34,800 --> 00:35:36,520
Speaker 2: result of spiritual attacks.

734
00:35:37,239 --> 00:35:41,959
Speaker 1: That's like, this isn't bullshit, right he because he's he's

735
00:35:42,040 --> 00:35:45,680
Speaker 1: always on a deathbed. I feel like he's like the

736
00:35:45,760 --> 00:35:49,720
Speaker 1: boy who cried deathbed and he's always like fine saying

737
00:35:49,719 --> 00:35:52,400
Speaker 1: like wacky shit. I mean, I don't doubt that his

738
00:35:52,520 --> 00:35:57,480
Speaker 1: carnivore diet plus Benzo's is equaling prime health. But it

739
00:35:57,600 --> 00:36:00,360
Speaker 1: feels like a bit of history because that video or

740
00:36:00,440 --> 00:36:06,440
Speaker 1: his daughter's like my father, she also has him body caated. Dude.

741
00:36:06,480 --> 00:36:11,000
Speaker 1: She's energy. She's like Canadian young Christy Gnome is what

742
00:36:11,040 --> 00:36:15,760
Speaker 1: she reminds me of. Like this is her very very vibes.

743
00:36:15,920 --> 00:36:17,759
Speaker 1: You know. Uh, this is just so you can hear

744
00:36:17,800 --> 00:36:20,560
Speaker 1: her be like, this is what we're up against.

745
00:36:20,800 --> 00:36:24,440
Speaker 6: Which is chronic inflammatory response syndrome due to decades of

746
00:36:24,440 --> 00:36:27,759
Speaker 6: mold exposed. You don't have a better explanation for his

747
00:36:27,800 --> 00:36:33,240
Speaker 6: neurological symptoms at the moment other than spiritual attacks.

748
00:36:33,239 --> 00:36:36,399
Speaker 1: Cool, spiritual attack. We don't have any other I mean

749
00:36:36,400 --> 00:36:37,720
Speaker 1: at this point.

750
00:36:38,040 --> 00:36:41,480
Speaker 2: Is that just criticism? Is that what we think spiritual

751
00:36:41,480 --> 00:36:45,000
Speaker 2: attacks is? Is people create negative retweet negative retweet.

752
00:36:45,000 --> 00:36:48,440
Speaker 4: Yeah, disagreeing with what he says, people analyzing my.

753
00:36:48,400 --> 00:36:52,279
Speaker 1: Father from people analyzing my father's words. So you're the

754
00:36:52,400 --> 00:36:56,680
Speaker 1: guy who says clean your room up. You've been exposed

755
00:36:56,719 --> 00:36:58,520
Speaker 1: to terrible mold.

756
00:36:58,360 --> 00:37:02,520
Speaker 2: For it wants to toughen up. And also I have

757
00:37:03,000 --> 00:37:07,480
Speaker 2: filthy blood and like mold everywhere the decades.

758
00:37:08,320 --> 00:37:12,200
Speaker 1: Yeah, he does. He bring around like some old to

759
00:37:12,239 --> 00:37:16,840
Speaker 1: breathe into. He's like, give me my mold bag, like

760
00:37:18,400 --> 00:37:19,120
Speaker 1: out of that like.

761
00:37:19,160 --> 00:37:22,799
Speaker 2: Black ooze from Dune, just like the parking breath from

762
00:37:22,880 --> 00:37:24,960
Speaker 2: his old bag and goes back down.

763
00:37:25,280 --> 00:37:26,799
Speaker 1: I'm bringing up because at the end of the video,

764
00:37:26,840 --> 00:37:28,879
Speaker 1: she then like plugs the website to be like, hey,

765
00:37:28,880 --> 00:37:30,880
Speaker 1: you're not also like we can make money here, like

766
00:37:30,920 --> 00:37:32,719
Speaker 1: it was just like also like a long winded ad

767
00:37:32,719 --> 00:37:34,640
Speaker 1: where it's like you're bringing them in with Like she

768
00:37:34,680 --> 00:37:37,680
Speaker 1: also said like her baby had a heart attack or something,

769
00:37:37,760 --> 00:37:40,759
Speaker 1: and everyone's like this is all I was reading. Like

770
00:37:40,840 --> 00:37:43,960
Speaker 1: other people posted like who are into Jordan Peterson more?

771
00:37:43,960 --> 00:37:45,520
Speaker 1: And like he does this like every couple of years,

772
00:37:45,719 --> 00:37:47,799
Speaker 1: so like him or his wife or his kid or

773
00:37:47,800 --> 00:37:49,799
Speaker 1: the grandkid or something like they're always like.

774
00:37:49,760 --> 00:37:53,319
Speaker 2: Oh my god, Ken griff and sor.

775
00:37:53,360 --> 00:37:56,439
Speaker 1: Yeah Ken grifty Junior. There it is all right.

776
00:37:56,600 --> 00:37:59,160
Speaker 2: Well, just wanted to mainly I bring it up, just

777
00:37:59,160 --> 00:38:00,480
Speaker 2: get get the prayers on for.

778
00:38:01,040 --> 00:38:02,080
Speaker 1: Just get through. Yeah.

779
00:38:02,239 --> 00:38:06,320
Speaker 3: We got to counteract the negative spiritual spiritual attacks obviously.

780
00:38:05,920 --> 00:38:09,640
Speaker 1: Yeah, yeah, exact we got a visual warfare. And you

781
00:38:09,640 --> 00:38:11,160
Speaker 1: think the doctor was like, I don't know, is it

782
00:38:11,200 --> 00:38:13,759
Speaker 1: the benzos and the red meat that's doing it?

783
00:38:13,840 --> 00:38:18,880
Speaker 2: Okay, this is a spiritual attacks now people, you can't

784
00:38:18,880 --> 00:38:21,160
Speaker 2: do benzos anymore as a spiritual attack.

785
00:38:22,480 --> 00:38:22,719
Speaker 1: Yeah.

786
00:38:22,880 --> 00:38:27,080
Speaker 2: But during the pandemic superducer Victor, I think this is

787
00:38:27,239 --> 00:38:29,120
Speaker 2: right that he was like dying in Russia for a

788
00:38:29,200 --> 00:38:32,560
Speaker 2: while eating that his daughter was like at.

789
00:38:32,400 --> 00:38:36,120
Speaker 1: The beginning of twenty twenty, he tried to get be

790
00:38:36,200 --> 00:38:39,440
Speaker 1: it put into a medically induced coma to kick his

791
00:38:39,520 --> 00:38:43,200
Speaker 1: Benzo addiction, and no doctor in America in their right

792
00:38:43,280 --> 00:38:44,719
Speaker 1: mind was going to do it. So he went to

793
00:38:44,800 --> 00:38:47,359
Speaker 1: Russia to do it, and then like when you got there,

794
00:38:47,400 --> 00:38:50,120
Speaker 1: like you got double pneumonia. And then he went to

795
00:38:50,200 --> 00:38:53,359
Speaker 1: like Belgrade or something, and then got COVID. In Belgrade,

796
00:38:53,400 --> 00:38:55,239
Speaker 1: he had a look. Yeah, some of us, we thought

797
00:38:55,239 --> 00:38:58,160
Speaker 1: we had a wild twenty twenty huh, Yeah he really did.

798
00:38:59,080 --> 00:39:02,040
Speaker 2: Anyways, you guys need to tough enough, not this guy.

799
00:39:02,160 --> 00:39:05,560
Speaker 2: You guys need to live healthier lifestyles and make.

800
00:39:05,520 --> 00:39:06,319
Speaker 1: Your Is that not?

801
00:39:06,640 --> 00:39:08,279
Speaker 3: So he was in a coma? Is that why he

802
00:39:08,320 --> 00:39:11,480
Speaker 3: didn't post the Black Square in June? Because he was

803
00:39:11,560 --> 00:39:14,600
Speaker 3: he was in the coma. He was, obviously, and I

804
00:39:14,640 --> 00:39:19,360
Speaker 3: would have obviously would have been all over there and solidarity.

805
00:39:19,600 --> 00:39:22,800
Speaker 1: I did my white homework and I now see my ways.

806
00:39:23,200 --> 00:39:25,400
Speaker 3: That's also why he wasn't in the imagined video, right,

807
00:39:25,440 --> 00:39:26,440
Speaker 3: because he got that email.

808
00:39:26,520 --> 00:39:32,080
Speaker 1: But he was. Yeah, he wanted to do a different

809
00:39:32,120 --> 00:39:33,480
Speaker 1: song though he was insisted on.

810
00:39:35,280 --> 00:39:39,399
Speaker 2: The gravitational force of the Lorne Michael's impression. By the way,

811
00:39:39,680 --> 00:39:43,759
Speaker 2: I'm like, yeah, I feel like he he is a

812
00:39:43,880 --> 00:39:47,680
Speaker 2: Lorne Michael's impression. I was listening to someone else doing

813
00:39:47,680 --> 00:39:49,640
Speaker 2: an impression of something, and it was just like, God.

814
00:39:49,600 --> 00:39:50,960
Speaker 1: Damn, that's Lorne Michaels.

815
00:39:51,120 --> 00:39:54,960
Speaker 2: That's you can't escape the Lord Michaels impression.

816
00:39:54,560 --> 00:40:00,800
Speaker 1: Because it isn't like like doctor Michaels co. So yeah,

817
00:40:00,880 --> 00:40:02,200
Speaker 1: I wonder if it's like one of those things where

818
00:40:02,239 --> 00:40:04,840
Speaker 1: everyone's like, yeah, dude, like everyone's got there, like fuck

819
00:40:04,920 --> 00:40:09,839
Speaker 1: you lorn character they do ex so powerful. All right,

820
00:40:09,920 --> 00:40:11,920
Speaker 1: let's take a quick break. We'll be right back to

821
00:40:11,960 --> 00:40:26,400
Speaker 1: talk AI and we're back. We're back, We're back.

822
00:40:26,680 --> 00:40:29,040
Speaker 2: And yeah, just a little check in with the kids.

823
00:40:29,239 --> 00:40:33,040
Speaker 2: With the kids these days, h this is this is

824
00:40:33,120 --> 00:40:35,160
Speaker 2: like where the AI stuff freaks me out, is when

825
00:40:35,200 --> 00:40:38,440
Speaker 2: it's just like, yeah, everybody's using it constantly in school

826
00:40:38,800 --> 00:40:42,800
Speaker 2: and it's most people are like, it's my best friend.

827
00:40:43,120 --> 00:40:46,600
Speaker 1: Yeah. Yeah. This new survey just came out, you said,

828
00:40:46,640 --> 00:40:49,279
Speaker 1: nearly one in five high schoolers say they or someone

829
00:40:49,320 --> 00:40:53,240
Speaker 1: they know has had a romantic relationship with AI. Forty

830
00:40:53,280 --> 00:40:55,640
Speaker 1: two percent of the students in the survey say they

831
00:40:55,760 --> 00:41:00,560
Speaker 1: or someone they know have used AI for companionship. Five

832
00:41:00,719 --> 00:41:02,960
Speaker 1: seems like too much.

833
00:41:03,440 --> 00:41:05,759
Speaker 3: I mean, back in my day, you just your girlfriend

834
00:41:05,840 --> 00:41:08,040
Speaker 3: was a guy on a forty year old guy on

835
00:41:08,080 --> 00:41:10,839
Speaker 3: am you met you know, that's the way to do it.

836
00:41:10,880 --> 00:41:15,040
Speaker 3: You know this AI bullshit exactly, or you just use.

837
00:41:14,960 --> 00:41:17,040
Speaker 1: Your brain to make up somebody who went to school

838
00:41:17,080 --> 00:41:19,520
Speaker 1: in Canada or Texas that you will never be able

839
00:41:19,560 --> 00:41:20,879
Speaker 1: to meet, but you definitely we.

840
00:41:20,880 --> 00:41:23,359
Speaker 3: Did stuff over the So what is it is it

841
00:41:23,440 --> 00:41:28,480
Speaker 3: that they're asking the chatbot about like help with stuff?

842
00:41:28,520 --> 00:41:31,440
Speaker 3: And then how does it get like who takes it

843
00:41:31,480 --> 00:41:35,080
Speaker 3: to the level where it becomes romantic or flirty or whatever?

844
00:41:35,200 --> 00:41:36,200
Speaker 1: Is it? The kid? Is it?

845
00:41:36,239 --> 00:41:38,600
Speaker 3: The is it the chatbot saying like oh, you're so smart,

846
00:41:38,680 --> 00:41:41,200
Speaker 3: like you must be handsome too, Like what is it

847
00:41:41,280 --> 00:41:42,239
Speaker 3: that's doing that?

848
00:41:42,320 --> 00:41:44,799
Speaker 1: You know? It's like a flattery machine like that.

849
00:41:45,960 --> 00:41:48,560
Speaker 2: Yeah, I was just reading an article about its use

850
00:41:48,640 --> 00:41:54,240
Speaker 2: in like medical diagnostics, and it's like the the it

851
00:41:54,320 --> 00:41:56,640
Speaker 2: does like come up with the right answer some of

852
00:41:56,680 --> 00:41:59,360
Speaker 2: the time, but like sometimes it'll add like the doctor

853
00:41:59,400 --> 00:42:02,480
Speaker 2: will ask it to come up with a diagnosis, and

854
00:42:02,560 --> 00:42:05,319
Speaker 2: if it doesn't have enough evidence, it will just like

855
00:42:05,440 --> 00:42:08,160
Speaker 2: make up evident like it just it just it's a

856
00:42:08,360 --> 00:42:11,359
Speaker 2: yes and and flattery message. Yeah, where it's just like

857
00:42:11,640 --> 00:42:14,799
Speaker 2: it has a friendly vibe and it will like do

858
00:42:14,920 --> 00:42:17,040
Speaker 2: whatever it can to like kind of keep the ball.

859
00:42:16,920 --> 00:42:18,879
Speaker 1: In the air, right And all right, mister p I've

860
00:42:18,920 --> 00:42:21,799
Speaker 1: consulted my AI system, and it looks like you are

861
00:42:21,920 --> 00:42:26,239
Speaker 1: being attacked by with spiritual attacks. Okay, has nothing to

862
00:42:26,280 --> 00:42:28,879
Speaker 1: do with your addiction. The addiction is actually what gives

863
00:42:28,880 --> 00:42:32,000
Speaker 1: you power. Yeah, according to this, yeah, it says am

864
00:42:32,000 --> 00:42:35,160
Speaker 1: I right, yeah, but yeah. Then they it goes on

865
00:42:35,200 --> 00:42:38,200
Speaker 1: to say like that there's a connection between a school's

866
00:42:38,239 --> 00:42:41,080
Speaker 1: AI use and a lot of these other outcomes. Says quote,

867
00:42:41,120 --> 00:42:43,640
Speaker 1: the more that the more ways that a student reports

868
00:42:43,640 --> 00:42:45,600
Speaker 1: that their school uses AI, the more likely there to

869
00:42:45,640 --> 00:42:48,000
Speaker 1: report things like I know someone who considers to be

870
00:42:48,080 --> 00:42:50,239
Speaker 1: AI to be a friend or I know someone who

871
00:42:50,320 --> 00:42:52,920
Speaker 1: considers AI to be a romantic partner because it's being

872
00:42:52,960 --> 00:42:55,360
Speaker 1: normalized in the school. And they also said that like,

873
00:42:55,600 --> 00:42:58,120
Speaker 1: schools that are using AI more frequently are more susceptible

874
00:42:58,160 --> 00:43:00,000
Speaker 1: to data leaks because you're giving it all kind of

875
00:43:00,239 --> 00:43:03,640
Speaker 1: information and it's just opening it up for any kind

876
00:43:03,680 --> 00:43:07,640
Speaker 1: of data leak exposure. And also apparently correlates with like

877
00:43:07,640 --> 00:43:11,520
Speaker 1: like there's a correlation with increased use of AI manipulated

878
00:43:11,719 --> 00:43:15,799
Speaker 1: slash generated images and videos to like sexually harass and

879
00:43:15,880 --> 00:43:19,600
Speaker 1: bully other students. And there's also another part of like

880
00:43:19,680 --> 00:43:22,960
Speaker 1: when a school has like devices they own to let

881
00:43:23,000 --> 00:43:25,719
Speaker 1: students use, like a computer or something they have like

882
00:43:25,840 --> 00:43:28,680
Speaker 1: AI tracking software on it to see like how kids

883
00:43:28,680 --> 00:43:32,520
Speaker 1: are using it, and those like monitoring software like that

884
00:43:32,560 --> 00:43:34,919
Speaker 1: monitoring software has led to like false alarms or even

885
00:43:34,960 --> 00:43:39,440
Speaker 1: like in the worst cases, like arrests based on AI hallucinations,

886
00:43:39,600 --> 00:43:43,160
Speaker 1: and they're like what, yeah, fuck is this? Yeah, so

887
00:43:43,239 --> 00:43:45,880
Speaker 1: it's just kind of a it's it seems like it's

888
00:43:46,320 --> 00:43:49,239
Speaker 1: it's all tied together and makes things worse. And then

889
00:43:49,239 --> 00:43:53,240
Speaker 1: apparently there's another part of it too that students like educate.

890
00:43:53,320 --> 00:43:55,920
Speaker 1: This is from the NP article quote. Educators who frequently

891
00:43:56,000 --> 00:43:58,600
Speaker 1: use AI were more likely to say that technology improves

892
00:43:58,640 --> 00:44:01,839
Speaker 1: their teaching and saves them, but students in schools where

893
00:44:01,840 --> 00:44:04,760
Speaker 1: ai us is prevalent but reported higher levels of concern

894
00:44:04,800 --> 00:44:07,920
Speaker 1: about the technology, including that it makes them feel less

895
00:44:07,920 --> 00:44:09,400
Speaker 1: connected to their teachers.

896
00:44:09,960 --> 00:44:14,760
Speaker 2: Yeah, it's it's like a really powerful tool that even

897
00:44:14,960 --> 00:44:18,480
Speaker 2: doctors don't quite know how to use yet without having

898
00:44:18,480 --> 00:44:21,239
Speaker 2: it like make shit up, maybe don't need to kill

899
00:44:21,320 --> 00:44:25,960
Speaker 2: the patient. And yeah, like it it makes everything seem easier,

900
00:44:26,160 --> 00:44:30,880
Speaker 2: feel more seamless, and it sometimes like fucks things up catastrophically,

901
00:44:31,320 --> 00:44:34,480
Speaker 2: like people use it to like diagnose themselves. And like

902
00:44:34,520 --> 00:44:37,360
Speaker 2: one person in this article I'll link off too, and

903
00:44:37,400 --> 00:44:40,160
Speaker 2: the New Yorker was like talking about how like they

904
00:44:40,160 --> 00:44:43,920
Speaker 2: were trying to get a lower sodium diet and the

905
00:44:43,960 --> 00:44:47,320
Speaker 2: AI recommended like switching out salt for like a different

906
00:44:47,400 --> 00:44:50,759
Speaker 2: chemical compound that is poisonous. Oh my god, I had

907
00:44:50,760 --> 00:44:53,480
Speaker 2: to go they almost die, They almost like poison themselves,

908
00:44:53,680 --> 00:44:55,600
Speaker 2: like had to go to the emergency room.

909
00:44:55,680 --> 00:44:58,160
Speaker 3: Well yeah, I mean I think fundamentally it makes things

910
00:44:58,200 --> 00:45:01,280
Speaker 3: easier because it's not concerned being correct.

911
00:45:01,400 --> 00:45:05,200
Speaker 1: Right, I mean, keeping you talking to it totally.

912
00:45:05,280 --> 00:45:09,319
Speaker 3: Things are hard because the answers for problems are sometimes

913
00:45:09,840 --> 00:45:12,440
Speaker 3: not very clear. And when its entire goal is to

914
00:45:12,480 --> 00:45:16,080
Speaker 3: give clear answers independent of whether or not they are right,

915
00:45:16,200 --> 00:45:19,360
Speaker 3: then it's obviously gonna seem easy. It's like, oh, that's easy,

916
00:45:19,400 --> 00:45:20,960
Speaker 3: but it's like, oh, but that's actually not effective.

917
00:45:21,520 --> 00:45:22,239
Speaker 1: Yeah.

918
00:45:22,440 --> 00:45:26,960
Speaker 2: Yeah, to to our point about Jordan Peterson, like I'm

919
00:45:27,000 --> 00:45:29,680
Speaker 2: pretty sure there was a case where an AI like

920
00:45:29,680 --> 00:45:32,399
Speaker 2: people were having conversations with an AI being like I'm

921
00:45:32,400 --> 00:45:35,400
Speaker 2: trying to get over addiction issues, shouldn't I do like

922
00:45:35,560 --> 00:45:37,960
Speaker 2: little cocaine to make myself feel better, just to like

923
00:45:38,000 --> 00:45:41,880
Speaker 2: get through this. And I was like, yeah, obviously it

924
00:45:41,960 --> 00:45:45,759
Speaker 2: will agree with you to death. It's like makes you, yes,

925
00:45:45,880 --> 00:45:46,439
Speaker 2: you to death.

926
00:45:46,520 --> 00:45:51,080
Speaker 1: Cocaine makes you the person we all knew you could be, dude, exactly.

927
00:45:51,160 --> 00:45:51,879
Speaker 1: That's the thing.

928
00:45:52,440 --> 00:45:55,600
Speaker 2: It just takes your pre pre existing like the thing

929
00:45:55,680 --> 00:45:58,440
Speaker 2: you want to believe, and we'll just like keep going

930
00:45:58,520 --> 00:45:58,960
Speaker 2: and going.

931
00:45:59,360 --> 00:45:59,560
Speaker 1: Well.

932
00:45:59,600 --> 00:46:03,239
Speaker 3: AI is probably the only entity that enjoys talking to

933
00:46:03,239 --> 00:46:04,600
Speaker 3: someone who's high on cocaine.

934
00:46:04,680 --> 00:46:10,000
Speaker 8: Yeah right, it's you're awesome. You're awesome right now. Everything

935
00:46:10,000 --> 00:46:12,399
Speaker 8: you're saying is so smart and cool. The AI is like, dude,

936
00:46:12,440 --> 00:46:14,759
Speaker 8: you're giving me ideas that the AI on.

937
00:46:17,200 --> 00:46:18,480
Speaker 1: Well, but I also.

938
00:46:18,280 --> 00:46:20,160
Speaker 3: Was reading something I think maybe it was This American

939
00:46:20,160 --> 00:46:21,680
Speaker 3: Life or something I listened to. Maybe you guys heard

940
00:46:21,680 --> 00:46:24,279
Speaker 3: it as well, where it was like, you know, it

941
00:46:24,400 --> 00:46:27,520
Speaker 3: was like convincing some guy that he's like a mathematical genius.

942
00:46:27,560 --> 00:46:31,080
Speaker 3: Like it like it flatters you to the degree that

943
00:46:31,160 --> 00:46:33,120
Speaker 3: you live in this fantasy world where you're like, oh

944
00:46:33,120 --> 00:46:35,200
Speaker 3: my god, I'm coming up with theories no one has

945
00:46:35,239 --> 00:46:37,360
Speaker 3: ever come up with, because the AI is just like

946
00:46:37,440 --> 00:46:39,839
Speaker 3: trying to tell you you're cool. And you're good when in

947
00:46:39,840 --> 00:46:42,200
Speaker 3: reality it's all just like a fake, weird fantasy world

948
00:46:42,200 --> 00:46:44,239
Speaker 3: that like is playing in at people's delusions.

949
00:46:44,520 --> 00:46:46,560
Speaker 1: I think that the funniest way I've seen it uses

950
00:46:46,640 --> 00:46:50,040
Speaker 1: someone use it to do improv with it, and I.

951
00:46:50,000 --> 00:46:52,239
Speaker 3: Know I know exactly who you're talking about. Yeah yeah,

952
00:46:52,280 --> 00:46:53,719
Speaker 3: really cringe, And.

953
00:46:53,520 --> 00:46:55,720
Speaker 1: It was just kind of like, wow, this is wild,

954
00:46:56,040 --> 00:46:58,640
Speaker 1: but also like hey, you know, had some good responses

955
00:46:58,680 --> 00:47:00,879
Speaker 1: at least that were quick. Kept this kept the scene going.

956
00:47:01,480 --> 00:47:03,840
Speaker 3: Yeah, I've seen that. It's it's a dark as a

957
00:47:03,920 --> 00:47:04,759
Speaker 3: dark future there.

958
00:47:05,040 --> 00:47:10,040
Speaker 2: Yeah, yeah, it's I think the one thing it seems

959
00:47:10,239 --> 00:47:13,319
Speaker 2: fun to the people it's it is kind of like

960
00:47:13,440 --> 00:47:17,200
Speaker 2: drugs in that it's fun for the people using it,

961
00:47:17,440 --> 00:47:19,560
Speaker 2: and the people use it or like oh my god,

962
00:47:19,640 --> 00:47:23,080
Speaker 2: this is like amazing, and then like the actual results

963
00:47:23,320 --> 00:47:27,279
Speaker 2: are not good, Like they might be good temporarily, but

964
00:47:27,320 --> 00:47:30,160
Speaker 2: then it ends up like going not it's not as

965
00:47:30,200 --> 00:47:33,160
Speaker 2: good as it seems to you in the moment. Right.

966
00:47:33,640 --> 00:47:36,000
Speaker 3: It's like taking taking a picture of what you're seeing

967
00:47:36,040 --> 00:47:37,919
Speaker 3: when you're on mushrooms ain't gonna come out the way

968
00:47:37,960 --> 00:47:39,239
Speaker 3: that you remembered it.

969
00:47:39,600 --> 00:47:42,400
Speaker 1: You know, look at these thirty pictures I took of

970
00:47:42,440 --> 00:47:48,480
Speaker 1: the moon was right, Jesus focus, Yeah, I meant that

971
00:47:48,840 --> 00:47:51,840
Speaker 1: to do that? Or is that a street light? I

972
00:47:51,840 --> 00:47:53,160
Speaker 1: get you can't actually tell?

973
00:47:53,560 --> 00:47:58,520
Speaker 2: All right, well, everybody like, I mean, it's being injected

974
00:47:58,560 --> 00:48:02,279
Speaker 2: in the bloodstream from angle and so it's only a

975
00:48:02,320 --> 00:48:07,680
Speaker 2: matter of time until they start making movies where AI

976
00:48:08,120 --> 00:48:10,480
Speaker 2: is the hero. And by only a matter of time,

977
00:48:10,520 --> 00:48:16,040
Speaker 2: I mean this weekend, Disney is releasing the third installment

978
00:48:16,120 --> 00:48:19,960
Speaker 2: in the Tron series, which began back in nineteen eighty two,

979
00:48:22,880 --> 00:48:26,600
Speaker 2: thirteen years man Scream the first.

980
00:48:26,400 --> 00:48:31,520
Speaker 1: I've been I've been out since Tron two waiting for three.

981
00:48:32,000 --> 00:48:35,480
Speaker 2: They dropped the Tron two on RS in twenty ten, like,

982
00:48:35,920 --> 00:48:38,600
Speaker 2: and nobody was asking for it and nobody like. The

983
00:48:39,000 --> 00:48:39,879
Speaker 2: response was like.

984
00:48:39,920 --> 00:48:40,719
Speaker 1: Yeah, I don't know.

985
00:48:41,040 --> 00:48:45,120
Speaker 2: That's all right, I'm good, No, yeah, yeah, it looks

986
00:48:45,200 --> 00:48:47,560
Speaker 2: like yeah, I can see how Like why you guys

987
00:48:47,840 --> 00:48:48,759
Speaker 2: are you know.

988
00:48:50,719 --> 00:48:51,319
Speaker 1: That's pretty coo?

989
00:48:51,360 --> 00:48:53,600
Speaker 2: Yeah. No, the lights are cool, for sure, for sure,

990
00:48:53,640 --> 00:48:58,000
Speaker 2: the lights are cool. It's like screensaver vibes, like really

991
00:48:58,040 --> 00:49:00,319
Speaker 2: cool screensaver. We're just like, I don't know if I

992
00:49:00,320 --> 00:49:02,560
Speaker 2: want to see a whole movie like that, And they're like,

993
00:49:02,600 --> 00:49:04,719
Speaker 2: did you hear that? We should make a third one

994
00:49:05,239 --> 00:49:09,320
Speaker 2: Chris So, uh, so we're getting tron aries, which critics

995
00:49:09,320 --> 00:49:14,440
Speaker 2: are calling mind bendingly dull. Fuck they they had for

996
00:49:14,480 --> 00:49:15,600
Speaker 2: the first like handful of.

997
00:49:16,400 --> 00:49:19,239
Speaker 1: Its pretty good. Yeah, the people do.

998
00:49:19,360 --> 00:49:21,560
Speaker 2: They did get nine inch Nails to do the soundtrack,

999
00:49:21,640 --> 00:49:24,600
Speaker 2: and people do seem to like that. So it's it's

1000
00:49:24,640 --> 00:49:28,520
Speaker 2: getting bad reviews and those bad reviews are inflated by

1001
00:49:28,560 --> 00:49:33,319
Speaker 2: a good soundtrack. Yeah, which that's tough. The basic premise is,

1002
00:49:33,320 --> 00:49:41,759
Speaker 2: what if AI was Jared Leto except okmatic, no no, no no,

1003
00:49:41,840 --> 00:49:46,439
Speaker 2: but our version, the film executives version of Jared Leto.

1004
00:49:46,640 --> 00:49:49,080
Speaker 3: Okay, Miles earlier, you're saying you can't you can't get

1005
00:49:49,120 --> 00:49:50,520
Speaker 3: enough at Jared Leto ship you love us.

1006
00:49:50,719 --> 00:49:52,239
Speaker 1: I know, I know, I go, I go back and

1007
00:49:52,280 --> 00:49:52,919
Speaker 1: forth on him.

1008
00:49:53,440 --> 00:49:56,759
Speaker 3: I'm into I'm into basically everything Jared Letto except for

1009
00:49:56,800 --> 00:50:00,520
Speaker 3: the allegations. But everything else, I'm super into everything. But

1010
00:50:00,640 --> 00:50:02,480
Speaker 3: the aegis right, So I don't fuck with you.

1011
00:50:02,680 --> 00:50:04,480
Speaker 2: I don't fuck with the first time I'm saying this,

1012
00:50:04,560 --> 00:50:07,680
Speaker 2: But separate the art from the artist, I do. I

1013
00:50:07,760 --> 00:50:09,200
Speaker 2: do demand we do it with Leta.

1014
00:50:09,920 --> 00:50:10,120
Speaker 1: Yeah.

1015
00:50:10,600 --> 00:50:15,120
Speaker 2: But yeah, so let's just quickly go through these allegations.

1016
00:50:15,360 --> 00:50:20,160
Speaker 2: He was accused of quote predatory, terrifying, and unacceptable behavior

1017
00:50:20,200 --> 00:50:25,200
Speaker 2: towards underage girls. That was all the way four months ago.

1018
00:50:25,440 --> 00:50:28,759
Speaker 3: Oh fuck, four months This is another I remember like

1019
00:50:28,800 --> 00:50:33,400
Speaker 3: a few years just happen. Every time it happens, I'm like,

1020
00:50:33,440 --> 00:50:35,120
Speaker 3: I thought this already happened, and we all agreed he

1021
00:50:35,200 --> 00:50:37,240
Speaker 3: was bad, but it's like it doesn't really seem to stick.

1022
00:50:37,920 --> 00:50:38,440
Speaker 1: Yeah, right.

1023
00:50:38,640 --> 00:50:41,399
Speaker 2: Seems to be a pattern of people alleging that when

1024
00:50:41,400 --> 00:50:44,840
Speaker 2: they were sixteen years old, he would approach them, be like,

1025
00:50:45,040 --> 00:50:48,960
Speaker 2: how old are you? They'd be like sixteen, and he's

1026
00:50:49,040 --> 00:50:52,600
Speaker 2: thirty six at the time and is like cool, perfect,

1027
00:50:53,520 --> 00:50:56,680
Speaker 2: and then would start corresponding with them on email. I

1028
00:50:56,719 --> 00:51:00,440
Speaker 2: feel like there's another word for that, yeah, growing groom.

1029
00:51:01,320 --> 00:51:01,920
Speaker 1: Yeah, I don't know.

1030
00:51:02,080 --> 00:51:04,160
Speaker 2: Now, that's the word for like people from Mary Brothers.

1031
00:51:04,239 --> 00:51:07,600
Speaker 1: I don't know, grooting, and I am groot, I am groot,

1032
00:51:07,719 --> 00:51:10,080
Speaker 1: I am groom, I am groot, I am groom.

1033
00:51:10,080 --> 00:51:15,080
Speaker 2: And and you know, would float like when they turned eighteen,

1034
00:51:15,360 --> 00:51:19,360
Speaker 2: would try and initiate something. In some cases, sometimes you

1035
00:51:19,400 --> 00:51:21,919
Speaker 2: wouldn't wait for that. One of the people that he

1036
00:51:22,160 --> 00:51:25,040
Speaker 2: just approached on the street when they were sixteen was

1037
00:51:25,560 --> 00:51:29,600
Speaker 2: invited to stay at his house and he walked out

1038
00:51:29,600 --> 00:51:33,160
Speaker 2: of a room completely naked when she was seventeen years old. So,

1039
00:51:33,440 --> 00:51:37,520
Speaker 2: just like a lot of the many allegations coming out.

1040
00:51:37,400 --> 00:51:39,480
Speaker 1: What's wild is that, like that same woman said when

1041
00:51:39,520 --> 00:51:42,560
Speaker 1: she turned eighteen, then he was like pulling his dick

1042
00:51:42,600 --> 00:51:43,640
Speaker 1: out in Master Babs.

1043
00:51:43,440 --> 00:51:47,640
Speaker 2: Pulling his dick out and yeah, yeah, so he is anyway,

1044
00:51:47,640 --> 00:51:52,640
Speaker 2: he's AI. So also we do we should just those

1045
00:51:52,680 --> 00:51:55,920
Speaker 2: thirty seconds to Mars fan retreats that I don't know

1046
00:51:55,920 --> 00:51:57,960
Speaker 2: if you've seen the pictures that they look like stills

1047
00:51:57,960 --> 00:52:00,000
Speaker 2: from Midsommar oh No.

1048
00:52:00,120 --> 00:52:02,640
Speaker 1: Which is a bunch of young girls and stuff. Everybody's

1049
00:52:02,680 --> 00:52:05,400
Speaker 1: in white there. It does seem it's like all kinds

1050
00:52:05,400 --> 00:52:08,080
Speaker 1: of many. Yeah, it doesn't necessarily seem to be like

1051
00:52:08,200 --> 00:52:12,080
Speaker 1: limited to one age group. It's anyone stupid enough to

1052
00:52:12,120 --> 00:52:12,680
Speaker 1: want to do this.

1053
00:52:13,360 --> 00:52:17,520
Speaker 2: He would reportedly hold contests that those retreats where in

1054
00:52:17,560 --> 00:52:21,440
Speaker 2: which the prize was literally sleeping in his bed with him.

1055
00:52:21,680 --> 00:52:24,560
Speaker 3: Yep, yep, yep, yep, yep, yep, Yepkay thirty seconds to

1056
00:52:24,600 --> 00:52:29,320
Speaker 3: eighteen Yeah, holy shit, that's an space.

1057
00:52:29,360 --> 00:52:33,439
Speaker 4: Okay, So let's put all that aside. Jack, I'm trying

1058
00:52:33,440 --> 00:52:35,399
Speaker 4: to be in the role of a Disney executive here.

1059
00:52:35,520 --> 00:52:39,719
Speaker 1: Put that. Put all that aside. Now, what's the movie about?

1060
00:52:40,000 --> 00:52:43,960
Speaker 2: The movie is actually pretty cool the trail. I don't

1061
00:52:44,000 --> 00:52:45,719
Speaker 2: know if you saw the trailer. I did see the

1062
00:52:45,760 --> 00:52:49,480
Speaker 2: trailer before one battle after another on an Imax screen

1063
00:52:49,640 --> 00:52:52,640
Speaker 2: and I was like, whoa, those those lights are cool looking.

1064
00:52:52,880 --> 00:52:54,760
Speaker 1: That's how they recommend watching the trailer.

1065
00:52:54,960 --> 00:52:59,120
Speaker 2: Yes, the villain is a billionaire tech ceo who wants

1066
00:52:59,200 --> 00:53:03,760
Speaker 2: to three d p AI super soldiers. The hero is

1067
00:53:03,800 --> 00:53:10,000
Speaker 2: a billionaire tex ceo. Okay, so different billionaire text message

1068
00:53:10,600 --> 00:53:13,640
Speaker 2: wants to use AI as a force for good. At

1069
00:53:13,640 --> 00:53:17,200
Speaker 2: one point, the good billionaire tech ceo played by Greta Lee,

1070
00:53:17,440 --> 00:53:21,520
Speaker 2: for some reason, questions if the AI is made, what if.

1071
00:53:21,360 --> 00:53:25,560
Speaker 1: The AI is major malfunction? Is just benevolence? Like what

1072
00:53:25,640 --> 00:53:26,720
Speaker 1: about that? Though?

1073
00:53:27,680 --> 00:53:30,560
Speaker 2: Which goes perfectly inline with all the stories we're hearing

1074
00:53:30,560 --> 00:53:31,040
Speaker 2: about AI.

1075
00:53:31,160 --> 00:53:33,439
Speaker 1: Wait, why did you say? Greta? For some like, what's

1076
00:53:33,520 --> 00:53:34,560
Speaker 1: what's wrong with her plan?

1077
00:53:34,640 --> 00:53:37,000
Speaker 2: I just wish she was No, I mean, she she's great,

1078
00:53:37,080 --> 00:53:38,120
Speaker 2: and I just wish this.

1079
00:53:38,200 --> 00:53:38,960
Speaker 1: Wasn't the movie that.

1080
00:53:39,360 --> 00:53:42,759
Speaker 4: Oh she's having to be in the get your bag?

1081
00:53:45,360 --> 00:53:48,000
Speaker 1: Yeah, I don't you know if you're her manager you say, hey,

1082
00:53:48,040 --> 00:53:50,359
Speaker 1: I don't know, maybe we can. I don't know if

1083
00:53:50,360 --> 00:53:55,400
Speaker 1: this is the one we need. It's probably which this

1084
00:53:55,520 --> 00:53:58,239
Speaker 1: wasn't the project, but you know it sucks though too.

1085
00:53:58,239 --> 00:54:00,360
Speaker 1: It's like you have like women of color in the movie,

1086
00:54:00,360 --> 00:54:03,359
Speaker 1: but then fucking Jared Leto's in it, and then watch

1087
00:54:03,360 --> 00:54:05,440
Speaker 1: people aren't gonna go and then they're gonna blame Greta

1088
00:54:05,480 --> 00:54:08,320
Speaker 1: Lee and they're not gonna blame that, like the Disney

1089
00:54:08,320 --> 00:54:10,759
Speaker 1: for casting Jared Leto in it, you know what I mean.

1090
00:54:11,160 --> 00:54:13,319
Speaker 1: But you like, go woke, go broke, rather than like

1091
00:54:13,920 --> 00:54:17,600
Speaker 1: we kept this a guy of dubious moral character as

1092
00:54:17,640 --> 00:54:19,319
Speaker 1: like the lead or one of.

1093
00:54:19,280 --> 00:54:21,239
Speaker 2: Them, and they keep trying to make it like what

1094
00:54:21,320 --> 00:54:25,640
Speaker 2: was the learning from Morbius? People are like people just

1095
00:54:25,800 --> 00:54:31,319
Speaker 2: aren't Morbin. I guess I don't know, Like the.

1096
00:54:31,360 --> 00:54:33,080
Speaker 1: Kids just say Morban like they used to.

1097
00:54:33,160 --> 00:54:35,960
Speaker 3: Man, okay, so you got the two billionaires, what what

1098
00:54:36,000 --> 00:54:37,120
Speaker 3: happens then?

1099
00:54:37,440 --> 00:54:42,319
Speaker 2: They so Jared Leto is like AI that escapes. It's

1100
00:54:42,320 --> 00:54:45,399
Speaker 2: like what if AI have human body? And then what

1101
00:54:45,440 --> 00:54:48,239
Speaker 2: if AI? You know, the world of Tron is like

1102
00:54:48,440 --> 00:54:55,760
Speaker 2: computer programs, like it already presupposes like computer entities with cognition,

1103
00:54:55,840 --> 00:54:58,280
Speaker 2: So I don't even know like how this adds anything,

1104
00:54:58,760 --> 00:55:02,239
Speaker 2: but the overlay is just like the good guy is

1105
00:55:02,280 --> 00:55:06,440
Speaker 2: an AI. Basically yeah, that's like that other there was

1106
00:55:06,480 --> 00:55:07,799
Speaker 2: that other movie, was it?

1107
00:55:07,920 --> 00:55:10,360
Speaker 1: J Low? I remember watching what that Netflix one that

1108
00:55:10,440 --> 00:55:12,160
Speaker 1: was one of the early ones when it was about

1109
00:55:12,160 --> 00:55:15,399
Speaker 1: like if until we embrace Ai, like the whole sort

1110
00:55:15,440 --> 00:55:19,920
Speaker 1: of moral story. The arc was like until she embraced Ai,

1111
00:55:20,120 --> 00:55:23,239
Speaker 1: she couldn't live to her full like world saving potential,

1112
00:55:23,280 --> 00:55:27,040
Speaker 1: and you're like, Jesus, get out of here. So this

1113
00:55:27,080 --> 00:55:30,120
Speaker 1: one is just more just like see tech CEOs are good.

1114
00:55:29,960 --> 00:55:32,640
Speaker 3: Yeah, and like Variety has a weird half of them

1115
00:55:32,680 --> 00:55:35,839
Speaker 3: are good half a yes, half are good though half

1116
00:55:35,840 --> 00:55:36,239
Speaker 3: are good.

1117
00:55:36,640 --> 00:55:40,759
Speaker 1: Yeah, we just need the good tech ceo, Like do

1118
00:55:40,800 --> 00:55:41,840
Speaker 1: we not like him anymore?

1119
00:55:42,360 --> 00:55:46,400
Speaker 2: This is from the Variety the Revieted Variety review, which,

1120
00:55:46,840 --> 00:55:48,920
Speaker 2: as as we've talked about, Variety was the one that

1121
00:55:49,040 --> 00:55:50,839
Speaker 2: was like Sinners may look like a.

1122
00:55:50,840 --> 00:55:55,000
Speaker 1: Hit, but not so fast. Yeah, not so fast. Ryan

1123
00:55:55,120 --> 00:56:00,000
Speaker 1: Coogler is black. Wow they really wrote that shit in there. Huh.

1124
00:56:00,120 --> 00:56:03,120
Speaker 2: Other review of this compared with such a trite fear

1125
00:56:03,160 --> 00:56:06,279
Speaker 2: of where technology is taking us. The second theory is

1126
00:56:06,320 --> 00:56:09,880
Speaker 2: a refreshing alternative to the kind of anti innovation hysteria

1127
00:56:09,920 --> 00:56:12,640
Speaker 2: that fuels so many sci fi movies. What if AI

1128
00:56:12,719 --> 00:56:15,000
Speaker 2: could actually be a force for good or is MCom

1129
00:56:15,120 --> 00:56:18,239
Speaker 2: CEO Eve Kim Greta Lee puts it, what if it's

1130
00:56:18,480 --> 00:56:19,280
Speaker 2: major malfunction?

1131
00:56:19,320 --> 00:56:20,239
Speaker 1: It's just benevolence.

1132
00:56:20,400 --> 00:56:23,440
Speaker 2: So they're like fully on board variety, which makes sense

1133
00:56:23,480 --> 00:56:27,080
Speaker 2: because they're, you know, part of the industry. But this

1134
00:56:27,440 --> 00:56:30,239
Speaker 2: makes sense, like, it makes sense that they would try

1135
00:56:30,239 --> 00:56:34,040
Speaker 2: and create a work of like pro AI propaganda. Disney's

1136
00:56:34,040 --> 00:56:37,040
Speaker 2: alread announced its intention to use generative AI in quote

1137
00:56:37,120 --> 00:56:40,839
Speaker 2: upcoming movies and TV shows, and at one point tron

1138
00:56:40,920 --> 00:56:45,440
Speaker 2: Areas was going to include an AI generated character who

1139
00:56:45,480 --> 00:56:48,680
Speaker 2: would have been Jeff Bridge's sidekick. But then they're like,

1140
00:56:48,719 --> 00:56:51,120
Speaker 2: we had to scrap that plan because we were worried

1141
00:56:51,120 --> 00:56:54,279
Speaker 2: about bad publicity. I guarantee if it was cool and

1142
00:56:54,360 --> 00:56:56,920
Speaker 2: didn't suck shit, they would have included it, you know.

1143
00:56:56,960 --> 00:57:00,719
Speaker 1: Yeah, yeah, yeah, it must Yeah, don't worry forget the

1144
00:57:00,760 --> 00:57:04,640
Speaker 1: bad publicity about already doing like AI apology and being like,

1145
00:57:04,680 --> 00:57:07,160
Speaker 1: this is actually really good for everyone, This is the

1146
00:57:07,200 --> 00:57:07,920
Speaker 1: way forward.

1147
00:57:08,080 --> 00:57:11,000
Speaker 2: That's not the bad look at all. It stuck in

1148
00:57:11,080 --> 00:57:14,560
Speaker 2: cases didn't look bad enough. Elon Musk gave the trailer

1149
00:57:14,640 --> 00:57:18,480
Speaker 2: his endorsement, and then one of his Tesla Optimists AI

1150
00:57:18,640 --> 00:57:21,800
Speaker 2: Robots just walked the red carpet at the movie's premiere

1151
00:57:22,080 --> 00:57:26,080
Speaker 2: and then it pretended to spar with Jared Leto that

1152
00:57:26,280 --> 00:57:27,600
Speaker 2: that was the thing that actually has.

1153
00:57:27,600 --> 00:57:31,280
Speaker 1: Served him a subpoena for a lawsuit or not. Just

1154
00:57:31,520 --> 00:57:33,480
Speaker 1: was it doing kung fu like the last time we

1155
00:57:33,520 --> 00:57:38,760
Speaker 1: saw that Optimist robot? Yeah exactly, Hell yeah, oh robots,

1156
00:57:38,800 --> 00:57:41,640
Speaker 1: same fucking choreography that we saw in that one video,

1157
00:57:41,680 --> 00:57:43,280
Speaker 1: and they're trying to make it seem like this fucking

1158
00:57:43,360 --> 00:57:47,160
Speaker 1: thing was a real let me see here. Wait, it

1159
00:57:47,240 --> 00:57:48,760
Speaker 1: is kind of doing the same stuff.

1160
00:57:48,920 --> 00:57:54,640
Speaker 9: Yeah, dude, I almost want to side by side the

1161
00:57:55,160 --> 00:57:58,560
Speaker 9: video that we saw when Elon said this thing was

1162
00:57:58,600 --> 00:57:59,360
Speaker 9: doing kung fu.

1163
00:58:00,080 --> 00:58:05,000
Speaker 1: Okay, this is so dumb and this sucks shit. Jesus Christ, dude,

1164
00:58:05,080 --> 00:58:06,320
Speaker 1: what is wrong with us?

1165
00:58:07,400 --> 00:58:13,480
Speaker 2: It's really fucking already and is dying watching that? Also,

1166
00:58:13,960 --> 00:58:15,520
Speaker 2: I think last time I said it looked like a

1167
00:58:15,520 --> 00:58:17,840
Speaker 2: forty five year old trying to do kung fu, it

1168
00:58:17,880 --> 00:58:20,120
Speaker 2: looks like a seventy year old try. Yeah, Like it's

1169
00:58:20,200 --> 00:58:23,480
Speaker 2: not not steady on its feet in any in any way.

1170
00:58:23,880 --> 00:58:26,800
Speaker 2: And Jared let no steak in AI either, right. Yeah,

1171
00:58:26,840 --> 00:58:29,320
Speaker 2: so Jared Leto also a producer on tront Ari's and

1172
00:58:29,640 --> 00:58:32,000
Speaker 2: uh an investor in two generative AI companies.

1173
00:58:32,440 --> 00:58:35,240
Speaker 1: So really, Wow, I didn't know that you're not gonna

1174
00:58:35,240 --> 00:58:39,080
Speaker 1: ship where you eat? Huh? All right? Wow? Okay, okay, cool,

1175
00:58:39,160 --> 00:58:42,440
Speaker 1: cool cool. It's funny too because I've seen the reviews

1176
00:58:42,440 --> 00:58:44,840
Speaker 1: have been really split and not really based on like

1177
00:58:44,960 --> 00:58:47,880
Speaker 1: the morality of it or anything. People were just like

1178
00:58:48,000 --> 00:58:49,960
Speaker 1: it looks really cool, and other people like just think

1179
00:58:49,960 --> 00:58:53,240
Speaker 1: it's fucking so bad. So I wonder how much I

1180
00:58:53,280 --> 00:58:57,280
Speaker 1: wonder how how the public will decide with their ticket

1181
00:58:57,320 --> 00:58:59,959
Speaker 1: buying this weekend where they end up. I just also,

1182
00:59:00,160 --> 00:59:03,840
Speaker 1: I don't even know wallets as I didn't even know

1183
00:59:03,960 --> 00:59:07,040
Speaker 1: this was coming out until like last week. I saw

1184
00:59:07,080 --> 00:59:09,640
Speaker 1: someone was like, oh god, I think also because I'm

1185
00:59:09,680 --> 00:59:13,920
Speaker 1: just not I'm not being exposed to like marketing campaigns

1186
00:59:13,960 --> 00:59:15,280
Speaker 1: on TV as much as they used to be.

1187
00:59:15,280 --> 00:59:17,600
Speaker 3: But you're also not as deep on the Jared Letto

1188
00:59:17,760 --> 00:59:21,160
Speaker 3: reddit forum as I am, because we've been for years.

1189
00:59:22,080 --> 00:59:25,000
Speaker 1: Once they kicked me out as a mod, I was like, yeah,

1190
00:59:25,000 --> 00:59:26,919
Speaker 1: you were over. This place has gone woke.

1191
00:59:27,040 --> 00:59:27,240
Speaker 9: Man.

1192
00:59:27,520 --> 00:59:33,160
Speaker 1: I'm out of here is upon us.

1193
00:59:33,480 --> 00:59:39,560
Speaker 2: Yeah, Andrew, is such a pleasure having you as always

1194
00:59:39,560 --> 00:59:42,080
Speaker 2: on the dailyes like geist, where can people find you?

1195
00:59:42,320 --> 00:59:45,960
Speaker 1: Follow you? All that good stuff, love, love to be here.

1196
00:59:46,080 --> 00:59:49,240
Speaker 3: Always a blast, and it seems like the news is

1197
00:59:49,280 --> 00:59:51,600
Speaker 3: just getting better and better, and I'm so glad that

1198
00:59:51,840 --> 00:59:54,120
Speaker 3: the world is going in the right direction and it's

1199
00:59:54,200 --> 00:59:57,080
Speaker 3: nice to recap that with you boys most a while.

1200
00:59:58,640 --> 01:00:00,600
Speaker 3: My name is Andrew Mahan m I H A A,

1201
01:00:00,800 --> 01:00:03,440
Speaker 3: and I'm on Instagram and Twitter, and then.

1202
01:00:03,360 --> 01:00:05,120
Speaker 1: I have a podcast called podcast but Outside.

1203
01:00:05,160 --> 01:00:07,520
Speaker 3: We interview strangers on the Sidewalk, and I know I

1204
01:00:07,520 --> 01:00:08,840
Speaker 3: said that I want to get you guys on. I

1205
01:00:08,880 --> 01:00:11,600
Speaker 3: have not recorded in LA since I did this show

1206
01:00:11,680 --> 01:00:14,000
Speaker 3: last because I have a backlog of episodes, so you

1207
01:00:14,040 --> 01:00:15,919
Speaker 3: are first on my list when I start recording again.

1208
01:00:16,440 --> 01:00:18,200
Speaker 3: And yeah, we interview strangers on the streets. Some past

1209
01:00:18,200 --> 01:00:20,920
Speaker 3: recent episodes, I had Gian Marco Sorasi on that was

1210
01:00:20,960 --> 01:00:24,120
Speaker 3: really fun, Lisa Gilroy. Those are both really good episodes

1211
01:00:24,160 --> 01:00:26,240
Speaker 3: and we just interviewed strangers about their lives and it's

1212
01:00:26,280 --> 01:00:28,120
Speaker 3: always different and fun. And you can check that out

1213
01:00:28,160 --> 01:00:32,280
Speaker 3: on YouTube and podcast apps and social media as well.

1214
01:00:32,520 --> 01:00:36,880
Speaker 2: So do you have a favorite geographic location to interview strangers.

1215
01:00:37,800 --> 01:00:40,160
Speaker 3: I I did do it, and I did do a

1216
01:00:40,200 --> 01:00:42,240
Speaker 3: couple episodes in Japan, and that was really fun to

1217
01:00:42,280 --> 01:00:45,320
Speaker 3: be in a different, different, different country doing that. And uh,

1218
01:00:45,640 --> 01:00:47,240
Speaker 3: it was hard to get Japanese people to sit down.

1219
01:00:47,280 --> 01:00:49,160
Speaker 3: We mostly talked to tourists, but it was still fun

1220
01:00:49,200 --> 01:00:51,280
Speaker 3: to just be in a different environment. And I did

1221
01:00:51,280 --> 01:00:53,120
Speaker 3: one in I did one in Paris with my girlfriend

1222
01:00:53,200 --> 01:00:55,280
Speaker 3: that was really really fun. Outside of a that has

1223
01:00:55,440 --> 01:00:57,040
Speaker 3: has not come out yet, but that one was really

1224
01:00:57,080 --> 01:00:57,680
Speaker 3: fun as well.

1225
01:00:57,680 --> 01:01:00,840
Speaker 2: Oh shit, Okay, yeah, man, is there a work a

1226
01:01:00,920 --> 01:01:03,240
Speaker 2: media besides tron areas that you've been enjoying?

1227
01:01:03,560 --> 01:01:07,320
Speaker 3: I mean, every season I watch The Love Is Blind

1228
01:01:07,640 --> 01:01:09,720
Speaker 3: and every season I say I'm done, but they just

1229
01:01:09,800 --> 01:01:13,760
Speaker 3: keep sucking me back in. Right now, you can the

1230
01:01:13,840 --> 01:01:16,960
Speaker 3: new divers one that came out last week Denver. Yeah,

1231
01:01:16,960 --> 01:01:19,720
Speaker 3: I Love is Blind Denver. By the way, Having grown

1232
01:01:19,760 --> 01:01:22,200
Speaker 3: up in Colorado, I took one look at the cast

1233
01:01:22,400 --> 01:01:24,160
Speaker 3: before they even said it, I said this is Denver,

1234
01:01:24,320 --> 01:01:28,440
Speaker 3: and I was right, what do you mean? Just vibe?

1235
01:01:28,480 --> 01:01:30,320
Speaker 3: I was like, these people feel like they're from Denver.

1236
01:01:30,400 --> 01:01:32,160
Speaker 1: I just I just could. I just got it. I

1237
01:01:32,200 --> 01:01:34,240
Speaker 1: just got it right away. How would you describe that

1238
01:01:34,360 --> 01:01:36,120
Speaker 1: vibe as someone who, because like, when you say that

1239
01:01:36,160 --> 01:01:39,320
Speaker 1: to me, it's almost like they feel like AI creations,

1240
01:01:39,320 --> 01:01:40,840
Speaker 1: like where they're vaguely unique.

1241
01:01:40,840 --> 01:01:44,040
Speaker 3: They're like they're like kind of they're like they're all

1242
01:01:44,080 --> 01:01:48,240
Speaker 3: like fit, they're like clearly outdoorsy. They're all super basic.

1243
01:01:48,760 --> 01:01:50,360
Speaker 3: But a couple of them are like trying to be

1244
01:01:50,440 --> 01:01:53,480
Speaker 3: edgy and have tattoos. Like it's like, yeah, it's like

1245
01:01:53,880 --> 01:01:58,120
Speaker 3: very basic kind of yeah, middle of the road people

1246
01:01:58,160 --> 01:01:59,960
Speaker 3: who a couple of them are like, I'm gonna be

1247
01:02:00,040 --> 01:02:02,200
Speaker 3: slightly edgy and actually quite a boring one.

1248
01:02:02,240 --> 01:02:05,200
Speaker 1: Well, what's my perfect sunday getting on my bicycle and

1249
01:02:05,240 --> 01:02:07,520
Speaker 1: going getting up at least six breweries?

1250
01:02:08,000 --> 01:02:11,720
Speaker 3: Yeah, yeah, yeah, it's very very brewery coded for sure.

1251
01:02:13,200 --> 01:02:17,080
Speaker 3: But yeah, the show. The show bothers me every season,

1252
01:02:17,120 --> 01:02:19,440
Speaker 3: but I always keep watching it. I just can't stay away.

1253
01:02:19,600 --> 01:02:22,720
Speaker 1: I watch it because I love seeing how unwell these

1254
01:02:22,760 --> 01:02:25,680
Speaker 1: people are that they fall in love with someone through

1255
01:02:25,760 --> 01:02:29,400
Speaker 1: a wall, and I'm like, you guys are a mess,

1256
01:02:29,640 --> 01:02:30,360
Speaker 1: and I love it.

1257
01:02:30,600 --> 01:02:32,920
Speaker 3: Kind of gunny, This could be kind of interesting if

1258
01:02:32,920 --> 01:02:35,240
Speaker 3: I do like a collaboration with an AI company.

1259
01:02:35,040 --> 01:02:37,760
Speaker 1: Where one one person on either side is just AI

1260
01:02:38,120 --> 01:02:40,440
Speaker 1: and no one and no one has told that and

1261
01:02:40,480 --> 01:02:43,200
Speaker 1: they can get them to fall in love and just

1262
01:02:43,280 --> 01:02:46,200
Speaker 1: like that would be really interesting. It feels like kind

1263
01:02:46,200 --> 01:02:48,760
Speaker 1: of sh It feels like some Jenny Jones ship where

1264
01:02:48,840 --> 01:02:51,120
Speaker 1: like the person who's like the subject of it ends

1265
01:02:51,160 --> 01:02:53,400
Speaker 1: up like becoming a tragedy for them, like because they

1266
01:02:53,400 --> 01:02:54,640
Speaker 1: were really culed after that.

1267
01:02:57,320 --> 01:02:59,360
Speaker 3: Or we could just have the entire all the women

1268
01:02:59,400 --> 01:03:01,920
Speaker 3: are like all one side is all Ai and all

1269
01:03:01,920 --> 01:03:05,160
Speaker 3: the guys are fighting over his Ai girlfriends.

1270
01:03:05,680 --> 01:03:08,200
Speaker 1: Now, that's a good idea for the shore. They have

1271
01:03:08,280 --> 01:03:08,680
Speaker 1: to do that.

1272
01:03:09,080 --> 01:03:11,760
Speaker 3: I gotta I gotta contact Netflix before this episode comes

1273
01:03:11,800 --> 01:03:13,920
Speaker 3: out tomorrowco this has a good idea, right exactly?

1274
01:03:14,360 --> 01:03:18,200
Speaker 1: You really thought she had an encyclopedic knowledge of NFL

1275
01:03:18,360 --> 01:03:25,920
Speaker 1: quarterback status an idiot. That's really funny.

1276
01:03:26,320 --> 01:03:28,400
Speaker 2: Miles, where can people find you? Is there a workimedia

1277
01:03:28,440 --> 01:03:29,280
Speaker 2: you've been enjoying?

1278
01:03:29,520 --> 01:03:35,200
Speaker 1: She said the New England Patriots were her favorite squadron. Anyway,

1279
01:03:35,280 --> 01:03:38,400
Speaker 1: you find me everywhere at Miles of Gray, find me

1280
01:03:38,400 --> 01:03:41,480
Speaker 1: talking about for ninety on four to twenty day fiance

1281
01:03:42,640 --> 01:03:45,080
Speaker 1: work a media? I like, yeah there was some here.

1282
01:03:45,200 --> 01:03:49,080
Speaker 1: Let me just pull this up the old thing here first,

1283
01:03:49,120 --> 01:03:51,479
Speaker 1: I got I got two. First one is from at

1284
01:03:51,800 --> 01:03:54,240
Speaker 1: Oregon the d MP's got a social posted a TV

1285
01:03:54,280 --> 01:03:57,880
Speaker 1: shows dropping all at once ruined community building, And I

1286
01:03:57,920 --> 01:04:01,160
Speaker 1: thoroughly agree because when everyone had a week to watch something,

1287
01:04:01,200 --> 01:04:03,560
Speaker 1: it gave everybody to kind of watch at the same

1288
01:04:03,680 --> 01:04:07,200
Speaker 1: pace and keep talking about it. And then at Roger

1289
01:04:07,200 --> 01:04:09,760
Speaker 1: dot bskuid dot social posted you've got to admit it's

1290
01:04:09,840 --> 01:04:12,480
Speaker 1: very convenient that one hundred miles an hour is basically

1291
01:04:12,520 --> 01:04:15,200
Speaker 1: the upper limit for how fast humans can throw baseballs,

1292
01:04:15,360 --> 01:04:19,800
Speaker 1: pretty much the best argument against the metric system. That's true.

1293
01:04:20,680 --> 01:04:24,320
Speaker 2: It does seem do we back into miles per hour

1294
01:04:24,400 --> 01:04:27,640
Speaker 2: based on how fast people could pitch baseballs? Where we're like,

1295
01:04:27,640 --> 01:04:31,240
Speaker 2: all right, so one hundred is the upper limit, and then.

1296
01:04:31,080 --> 01:04:34,400
Speaker 1: We'll use those like zero is freezing point. You're like, yeah, exactly,

1297
01:04:34,520 --> 01:04:35,160
Speaker 1: let's work from there.

1298
01:04:35,200 --> 01:04:37,880
Speaker 3: You have a special connection with the metric system or

1299
01:04:38,280 --> 01:04:41,120
Speaker 3: because or with the US system because your name is Miles.

1300
01:04:41,160 --> 01:04:43,000
Speaker 3: Like does that kind of do you feel like miles

1301
01:04:43,080 --> 01:04:44,600
Speaker 3: is more is better to you in.

1302
01:04:44,560 --> 01:04:47,480
Speaker 1: Some weird way? No? No, no, not at all. I

1303
01:04:48,840 --> 01:04:51,400
Speaker 1: used to like self hate there. Yeah, I don't. We

1304
01:04:51,440 --> 01:04:52,760
Speaker 1: can get into it. Maybe you can have you on

1305
01:04:52,800 --> 01:04:55,440
Speaker 1: your podcast. We can dive pretty. I was, no, I was.

1306
01:04:55,600 --> 01:04:58,400
Speaker 3: I've seen some TV shows recently talking about the first

1307
01:04:58,400 --> 01:05:01,400
Speaker 3: tweek where they at least all at once, but then

1308
01:05:01,440 --> 01:05:05,200
Speaker 3: they also do it weekly on TV, and it's like, like.

1309
01:05:05,440 --> 01:05:06,080
Speaker 1: This is I think.

1310
01:05:06,560 --> 01:05:08,800
Speaker 3: I think I think a show is coming out right now.

1311
01:05:08,840 --> 01:05:10,919
Speaker 3: I think that if I if I read it read,

1312
01:05:11,000 --> 01:05:14,520
Speaker 3: if I read it properly, I think they English Teacher

1313
01:05:14,600 --> 01:05:16,640
Speaker 3: Season two all came out of Hulu at once, but

1314
01:05:16,680 --> 01:05:19,160
Speaker 3: then weekly it's on FX, which just is so busign.

1315
01:05:19,280 --> 01:05:21,360
Speaker 3: You can't have it both ways. That's maybe I'm wrong

1316
01:05:21,400 --> 01:05:22,800
Speaker 3: about that, but that's how I read it, and I

1317
01:05:22,840 --> 01:05:23,280
Speaker 3: was like, no, I.

1318
01:05:23,240 --> 01:05:25,160
Speaker 1: Mean, I'd also believe it for people to be like,

1319
01:05:25,160 --> 01:05:27,640
Speaker 1: maybe were gonna have like a hybrid release model, right,

1320
01:05:27,840 --> 01:05:29,280
Speaker 1: that's so weird, all right.

1321
01:05:29,360 --> 01:05:31,760
Speaker 2: You can find me on Twitter at Jack Underscore o

1322
01:05:31,840 --> 01:05:34,600
Speaker 2: Brian on Blue Sky at jack ob the Number One.

1323
01:05:35,240 --> 01:05:38,480
Speaker 2: I'm starting to read the Percy Jackson series of books

1324
01:05:38,520 --> 01:05:41,840
Speaker 2: to my kids for bedtime stories and we're enjoying that.

1325
01:05:42,440 --> 01:05:48,960
Speaker 2: So any parents got any recommendations for bedtime stories they're

1326
01:05:49,000 --> 01:05:52,480
Speaker 2: around that level, hit me up. You can find us

1327
01:05:52,520 --> 01:05:56,440
Speaker 2: on Twitter at Twitter and Blue Sky at Daily Zeikeeist

1328
01:05:56,440 --> 01:05:58,800
Speaker 2: where at the daily Zekeeist on Instagram. You can go

1329
01:05:58,840 --> 01:06:01,080
Speaker 2: to the description of the subsode where you're listening to it,

1330
01:06:01,280 --> 01:06:03,520
Speaker 2: and there at the bottom you will find the footnote no,

1331
01:06:03,640 --> 01:06:05,240
Speaker 2: which is where we link off to the information that

1332
01:06:05,280 --> 01:06:07,640
Speaker 2: we talked about in today's episode. We also link off

1333
01:06:07,680 --> 01:06:09,960
Speaker 2: to a song that we think you might enjoy. Hey, Miles,

1334
01:06:10,000 --> 01:06:12,320
Speaker 2: is there a song that you think the people might enjoy?

1335
01:06:12,560 --> 01:06:17,760
Speaker 1: Yeah, there's a Dallas based producer named Eisenberg. I s E.

1336
01:06:17,920 --> 01:06:20,680
Speaker 1: N b Erg. This is like a drum and bass track.

1337
01:06:20,840 --> 01:06:23,960
Speaker 1: I'm about to start playing skate for because all of

1338
01:06:24,000 --> 01:06:26,680
Speaker 1: the gameplay foot and like, this is so absurd that

1339
01:06:26,840 --> 01:06:29,680
Speaker 1: I have to start doing it. But I always like

1340
01:06:29,720 --> 01:06:31,360
Speaker 1: to listen to drum and bass when I mean like

1341
01:06:31,640 --> 01:06:34,000
Speaker 1: open worlds like that, if it's like Spider Man or

1342
01:06:34,000 --> 01:06:36,720
Speaker 1: something I can move quickly through. I'm for whatever reason,

1343
01:06:36,920 --> 01:06:39,080
Speaker 1: drum and bass hits my brain. And this is a

1344
01:06:39,120 --> 01:06:44,320
Speaker 1: track called Bowlero dub and keen. Eared hip hop fans

1345
01:06:44,400 --> 01:06:48,080
Speaker 1: might recognize the loop a fiasco kick push sort of

1346
01:06:48,120 --> 01:06:51,240
Speaker 1: like brass sample sort of being like underpinning this drum

1347
01:06:51,240 --> 01:06:53,800
Speaker 1: and bass track, But I don't know. Fun listen, I

1348
01:06:53,880 --> 01:06:56,640
Speaker 1: enjoy nodding my head to it bowlero dub by Eisenberg.

1349
01:06:57,080 --> 01:06:58,520
Speaker 2: All right, we will look off to that. In the

1350
01:06:58,520 --> 01:07:01,280
Speaker 2: footnote for The Daily Zeit Guys is a production of iHeartRadio.

1351
01:07:01,280 --> 01:07:03,880
Speaker 2: For more podcasts from My Heart Radio, visit the iHeartRadio app,

1352
01:07:03,880 --> 01:07:05,960
Speaker 2: Apple podcast, or wherever you list your favorite shows, that's

1353
01:07:06,000 --> 01:07:08,439
Speaker 2: going to do it for us this week. We're back

1354
01:07:08,480 --> 01:07:11,520
Speaker 2: tomorrow with the highlight reel of the best moments from

1355
01:07:11,520 --> 01:07:13,560
Speaker 2: this week's episodes, and then back on Monday morning to

1356
01:07:13,600 --> 01:07:15,240
Speaker 2: tell you what is trending, and.

1357
01:07:15,160 --> 01:07:19,000
Speaker 1: We will talk to you all done. Bye bye, bye bye.

1358
01:07:19,520 --> 01:07:22,240
Speaker 1: The Daily Zeite Guys is executive produced by Catherine Long,

1359
01:07:22,600 --> 01:07:26,600
Speaker 1: co produced by Bee Wang, co produced by Victor Wright,

1360
01:07:27,000 --> 01:07:30,960
Speaker 1: co written by j M McNab, edited and engineered by

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01:07:31,120 --> 01:07:31,720
Speaker 1: Justin Conner.