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Speaker 1: Scotti, Curtie, be ready for some good news.

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Speaker 2: I'm ready for great news. I'm ready to have fun.

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Speaker 2: I'm ready to laugh and laugh and laugh.

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Speaker 1: Here it is a former SpaceX engineer quits to make

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Speaker 1: a pizza robot.

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Speaker 2: Wow, that's a big turn. I didn't see you coming

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Speaker 2: that way. Well, let's blast off on a brand new

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Speaker 2: episode of the Bananas Podcast Your world.

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Speaker 3: Would you.

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Speaker 4: Mind?

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Speaker 2: Zillion pieces?

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Speaker 1: Would bananas? Guys, gals, non binary pals. Welcome to Bananas.

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Speaker 1: I am one of your hosts, Kurt Brown Oler.

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Speaker 2: I'm the other one. I'm Scotty landis Kurtie b Away

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Speaker 2: we go. We're off and running.

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Speaker 1: What's new? What do you see anything new here?

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Speaker 2: Pal?

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Speaker 1: Well, you see anything new?

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Speaker 2: Huh h?

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Speaker 1: What is it?

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Speaker 3: Uh? I don't know.

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Speaker 2: Maybe a stand up comedian has a standing desk that

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Speaker 2: he's recording at.

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Speaker 3: Oh yeah, how's it feel?

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Speaker 1: My mother in law and my wife, Lauren Cook and

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Speaker 1: Gretchen got me a got me a standing desk. So

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Speaker 1: it goes up and down, goes up and down. Scotty,

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Speaker 1: I would make it go up and down, but I've

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Speaker 1: unplugged it in order to plug my computer, and so

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Speaker 1: I still got it a couple of things to figure

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Speaker 1: out about how to work with it.

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Speaker 2: I think it's gonna I think it's gonna be fantastic.

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Speaker 2: I did a pilot years ago at MTV with Nicky

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Speaker 2: Glazer and Sarah Shaeffer, and we shot the whole pilot

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Speaker 2: and we tested it and we were like, something is off.

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Speaker 2: We're like, this isn't working as well as it should

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Speaker 2: be working. These two women are too funny. And we

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Speaker 2: reshot the pilot and instead of them ever sitting down,

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Speaker 2: they stood the entire time ten times. Funiar got picked

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Speaker 2: up to series. But they are stand up comedians, and

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Speaker 2: when we had them sitting at a sofa like interviewing

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Speaker 2: guests or sitting at a desk or whatever, it took

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Speaker 2: their natural energy as stand up comedians away. And so

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Speaker 2: I think that this means this is going to be

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Speaker 2: a huge year for your side of the Bananas podcast.

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Speaker 1: Oh hell yeah, folks, you're right in you let me

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Speaker 1: know if it sounds a little bit better, a little

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Speaker 1: bit crisper, a little bit more on point.

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Speaker 3: Mmmmm.

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Speaker 1: I mean, I can't believe they got to shot two

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Speaker 1: got to shoot two pilots. Usually they would just be like, well,

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Speaker 1: it doesn't work, see you later. Yes, you get another

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Speaker 1: shot in ten years.

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Speaker 2: Yes, it was pretty crazy, but they really did it

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Speaker 2: shot for those older ban animals used to watch MTV.

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Speaker 2: They had the TRL studio over Times Square. That's where

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Speaker 2: we shot it, and it was fun. It was fun

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Speaker 2: to look out and see just people walking below and

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Speaker 2: have all the lights of a TVO studio go, a

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Speaker 2: studio going. I love that pilot. The show went two seasons.

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Speaker 2: It just did. It was when MTV was failing and

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Speaker 2: becoming the cesspool of reality shows that it is now

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Speaker 2: and forever.

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Speaker 3: But that's fun.

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Speaker 1: Yeah, that is fun, isn't it? And guess what Scotty

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Speaker 1: tell me something. I'm gonna be in Austin.

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Speaker 2: The weirdest city in the world, the formerly sort of

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Speaker 2: weird city.

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Speaker 1: It is interesting that the two cities that I'm going to,

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Speaker 1: Austin and Portland, Portland. I'm there in April and Austin

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Speaker 1: in February nineteen and eleventh, both have the same tagline,

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Speaker 1: Keep Austin weird, keep Portland weird. They both have that

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Speaker 1: able say.

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Speaker 2: That they do. Yeah, that's fun. Austin is such a

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Speaker 2: great town. Portland's is a great town. Those are gonna

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Speaker 2: be great shows.

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Speaker 1: Where are they Cap City for Austin and then Helium

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Speaker 1: Comedy Club for Portland in April. Come on out. We

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Speaker 1: gotta get some Bananas shows on the books, you know

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Speaker 1: what I'm saying.

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Speaker 2: Amanda fam who's a Day one Bananimal and a friend

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Speaker 2: of the pod, texted me today saying that she listened

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Speaker 2: to the Minneapolis live show and it was our funniest

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Speaker 2: episode ever and she had to pull over she was

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Speaker 2: laughing so hard.

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Speaker 1: That's great. Our live shows are fun for us, they

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Speaker 1: really are. I love them. It's such a good time.

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Speaker 2: It's just cranked up in the way that a live

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Speaker 2: audience does. And Minneapolis was especially a great crowd. It's

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Speaker 2: when we put them out there. I think we finally

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Speaker 2: dialed them in. I think we know how to do

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Speaker 2: the Bananas Live correctly. One way is not being extremely

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Speaker 2: hungover in Denver, which we both suffered into that second show.

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Speaker 2: So to all the ban Animals that were at Denver

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Speaker 2: show number two, we'll do better next time.

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Speaker 1: We did not release that one.

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Speaker 3: Folks, we were struggling.

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Speaker 1: I mean me more than you give. I give it

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Speaker 1: up for you. You were ready to go out and

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Speaker 1: do stuff.

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Speaker 2: I was I decided if you did, I didn't make

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Speaker 2: the show. I was gonna get drunk and go, guys,

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Speaker 2: I will take Q and A and any questions that

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Speaker 2: I have a story about. I'm just gonna do a story.

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Speaker 2: You're gonna get forty five minutes bang for your buck.

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Speaker 2: And thank god, I walked in the green room and

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Speaker 2: you were there in a yellow suit. My god, we

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Speaker 2: were that close.

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Speaker 1: It was real, rough, real rough. I oh. I also

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Speaker 1: want to mention to people that they can go watch

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Speaker 1: my special right now on YouTube for free. Scotty, you

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Speaker 1: can watch it for free.

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Speaker 3: That's cheaper than any other price.

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Speaker 1: Yeah right, Go to perfectly stupid dot com watch my

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Speaker 1: new special. Then come see me live and Scotty, do

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Speaker 1: you want to get into this podcast? How are you?

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Speaker 1: What's going on with you?

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Speaker 3: I'm excellent, I'm very good.

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Speaker 2: A truck got stuck on stock Truck Hill and I

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Speaker 2: saw it.

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Speaker 3: Isn't that amazing?

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Speaker 1: I mean the fact that the sign is there? Does

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Speaker 1: does it hurt the truck driver's feelings more? Like it's

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Speaker 1: already embarrassing you got your truck stuff? Yes, but does

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Speaker 1: it hurt their feelings more when they.

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Speaker 2: See this when they are five feet away from the sign.

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Speaker 2: I had never seen one get free before. I've seen maybe,

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Speaker 2: I don't know, fifteen trucks get stuck on stuck truck hill.

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Speaker 2: But they used a forklift to lift the back of

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Speaker 2: the truck off of the hill and then the guy

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Speaker 2: gunned it back down.

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Speaker 3: Everybody's like, did you get a picture of the truck

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Speaker 3: next to the sign? And I was like no. I

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Speaker 3: was filming it for my car.

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Speaker 2: And the look on the driver's face was like, I

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Speaker 2: will kill you. I will hit you with a bat

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Speaker 2: and murder you. And it was raining, so I kept driving.

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Speaker 2: But I'm so good. I had the opposite experience. I

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Speaker 2: was in Florida a couple weeks back.

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Speaker 1: Florida.

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Speaker 2: You know that thing, And have you ever had the

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Speaker 2: experience where you see something that somebody's doing and it

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Speaker 2: seemingly normal, but then you realize what they're doing is

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Speaker 2: so weird, but you're just kind of watching something unfold

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Speaker 2: before you. Yeah, I was out of red light and

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Speaker 2: I glanced over at a gas station and there's just

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Speaker 2: this man smiling, and I just kind of like smiled

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Speaker 2: to myself. I was like, oh, yeah, this guy's just

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Speaker 2: having a good day. And then what I realized he

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Speaker 2: was doing was he was using a windshield washing squeegee

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Speaker 2: that you would clean your windshield with to clean his bicycle.

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Speaker 2: But he was smiling so big, like he had discovered

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Speaker 2: a secret that none of us are allowed to have.

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Speaker 2: Just a regular pedal bicycle, not a motorcycle, just going

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Speaker 2: down the chrome handlebars like look at me, go like

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Speaker 2: turn screen. I drove away, but it really had an

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Speaker 2: impact on me. I'm like that man just was like

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Speaker 2: watch this. I'm gonna show you.

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Speaker 1: Also, there's a bunch of little paper towels he could

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Speaker 1: dry his bike off. When he's done, I mean he

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Speaker 1: is where he's ready to sparkle in this in the

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Speaker 1: Florida sunshine.

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Speaker 2: That's right, a Dade County native that was like, clean

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Speaker 2: your windshields all you want? My bicycle is getting a

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Speaker 2: bath for free, zero gas purchased.

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Speaker 1: This is the best day, full bag of crystal in

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Speaker 1: my pocket. I'm ready to have a night.

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Speaker 2: A little too true. Uh yeah, let's get into it.

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Speaker 2: Venmo privately, everybody, Venmo privately. We don't need to see

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Speaker 2: that you're buying each other wine. We don't like your jokes.

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Speaker 2: You're embarrassing yourself.

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Speaker 1: Set it to default private. Mine is now default private,

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Speaker 1: don't publicly venmo, so then you have to do choose

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Speaker 1: to make it pop pop?

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Speaker 3: Who are you grow up? Anyways?

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Speaker 1: This was sent in by Jasmine Ramos thank you or

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Speaker 1: Jazzmine Ramos love and uh so uh Jazzmine sent the

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Speaker 1: original title wha uh, well, come on, Silicon Valley can't quit.

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Speaker 1: It's pizza robot obsession, which.

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Speaker 3: Is, uh, that's probably true.

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Speaker 1: Maybe I guess there's other ones. I found an Insider

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Speaker 1: article with a slightly better title. Okay, a former SpaceX

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Speaker 1: engineer who now runs a pizza a robot company, So

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Speaker 1: he says he wants to solve problems on Earth, not Mars.

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Speaker 1: So now this is tough because the Insider article is

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Speaker 1: very funny in the fact that it's obviously just copied

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Speaker 1: and pasted from a uh from a press release, but

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Speaker 1: they did. Then at the end it says the pizza

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Speaker 1: company would not comment. But it's like it's crazy because

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Speaker 1: they don't not say anything crazy. They're not. They're just

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Speaker 1: telling people that it exists.

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Speaker 2: It's not disparaging, it's not safe, it's not respected.

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Speaker 1: So Stellar Pizza did not give a shit about Insider

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Speaker 1: on the other hand, Business Week Bloomberg Business Week, written

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Speaker 1: by Sarah McBride. Sarah McBride so good.

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Speaker 3: So good, Some say the best it.

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Speaker 1: Is a I would say, an Atlantic length article on

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Speaker 1: this goddamn pizza robot. And it's very long and very here.

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Speaker 1: I'll just give you. They do a short story in

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Speaker 1: the beginning that I'll give you about a woman who

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Speaker 1: is also so This guy is actually the guy who

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Speaker 1: started it. His name he started with the three gentlemen

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Speaker 1: started it. But Air Jaya I Air don't know. Oh no, sorry,

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Speaker 1: Jaiyer is who they follow. This is the woman who

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Speaker 1: they kind of like start at the man standing up.

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Speaker 1: Maybe he has made me a worse podcast.

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Speaker 3: Yeah, still the best here it is.

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Speaker 1: I are the lead spacecraft structure engineer at a subsidiary

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Speaker 1: of Boeing Company, consulted with someone she had worked with

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Speaker 1: at SpaceX Eli Musk's rocket company. Her friends suggested she

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Speaker 1: get in touch with their former colleague, Benson Cy, who'd

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Speaker 1: been tapping some of the bright minds from the company

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Speaker 1: and other aerospace firms around Los Angeles to solve a

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Speaker 1: novel technical challenge. When Iyer was at Space Exploration Technologies

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Speaker 1: Core Tasai was developing back technology for the company's satellites

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Speaker 1: and spacecraft. Now he makes pizza. Perplexed and a little intrigued,

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Speaker 1: Ier agreed to a meeting. It was outlandish to the

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Speaker 1: point where please tell me more, she says. Syragaled her

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Speaker 1: with his visions of a robot on wheels capable of

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Speaker 1: making a pizza from scratch. Someone would drive the truck

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Speaker 1: to an office park, shopping center, residential area. Customers would

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Speaker 1: order through an app, and the robot would do the rest.

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Speaker 1: To say, had already persuaded venture capitalists, a group that

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Speaker 1: would soon include a firm run by Jay Z. Of course,

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Speaker 1: Jay z Is invested in a pizza robot.

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Speaker 3: Yeah smart con.

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Speaker 1: To invest millions of dollars. He'd assembled a team of

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Speaker 1: forty or so rocket scientists and other technologists to, as

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Speaker 1: Tie described it, solve pizza. But first they needed to

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Speaker 1: solve mushrooms. This is just a little taste of the

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Speaker 1: difficulty in making a pizza robot. By twenty twenty, when

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Speaker 1: Ire first visited the headquarters of Stellar Pizza. Stellar Pizza

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Speaker 1: is the name of the pizza robot company SI and

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Speaker 1: two other dudes.

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Speaker 2: Bad name by the way, that's a bad name for

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Speaker 2: Stellar Pizza. It doesn't tell you anything about it besides pizza.

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Speaker 3: It doesn't.

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Speaker 1: Well, it does tell you that he's poaching people from

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Speaker 1: the space industry to make it. Oh, I see, yeah,

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Speaker 1: that's true, which is kind of an interesting way of marketing,

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Speaker 1: like this is pizza made by rocket scientists.

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Speaker 3: Ground speed, ground control.

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Speaker 1: Ground control. That's good ground control pizza.

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Speaker 3: You know exactly what it is.

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Speaker 1: Yeah, went By twenty twenty, when I first visited the

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Speaker 1: headquarters of Stellar Pizza, the team had already figured out

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Speaker 1: how to need dough, spread, tomato sauce, and scattergreen peppers.

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Speaker 1: Mushrooms were proving extremely annoying. The machines design called for

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Speaker 1: them to be pre sliced and loaded into a shoe,

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Speaker 1: but mushrooms, more than dice, mozzarella or pepperoni, are fleshy

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Speaker 1: and moist.

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Speaker 3: Peperni is easy.

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Speaker 1: When cut and packed into the machine, the pieces clumped

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Speaker 1: together and clung to the sides to SI compared them

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Speaker 1: to wet paper towel sticking to the wall. So then

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Speaker 1: she goes in on and on and on and on.

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Speaker 1: So do you want to know how they solve mushrooms?

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Speaker 3: No? Yes, yes, I do.

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Speaker 1: We all do the based to know. They pre slice

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Speaker 1: them and keep them in the fridge for a couple

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Speaker 1: of days, which makes them less sticky. Oh I see,

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Speaker 1: So they're a little bit dry, so they're almost like

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Speaker 1: almost a dried mushroom. But then once they hit oil,

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Speaker 1: they puff back up.

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Speaker 2: That's like soaking your kobab sticks and water before you

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Speaker 2: throw them on the grill, so the kobobsticks don't catch fire.

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Speaker 1: Classic, classic stuff. This robot looks like a food truck,

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Speaker 1: you know what it looks like. It looks like those

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Speaker 1: Japanese food marts. Yeah, where like you put money in

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Speaker 1: and just like turn a handle and open a door and.

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Speaker 3: Get it out of an automat machine.

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Speaker 1: Yeah, that's kind of what it looks like, except like

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Speaker 1: in one category there's like boxes, and then in another

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Speaker 1: place the pizza is baking, and then another piece the

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Speaker 1: pizza is getting loaded into a cover.

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Speaker 3: So this is a vending machine pizza.

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Speaker 1: But it's made from scratch. So literally a robot kneads

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Speaker 1: the dough and then tosses it in the air awesome,

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Speaker 1: and then fucking lays it out puts on I mean,

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Speaker 1: it's like a homemade pizza pie. But they're saying that

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Speaker 1: they're not in competition with like your local mom and

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Speaker 1: pop shop. They're in competition with Dominoes. So they're just

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Speaker 1: trying to make a Domino's level pizza.

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Speaker 3: Who isn't right? They sell a lot of pizzas at Dominoes.

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Speaker 2: I love those commercials back in the day where the

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Speaker 2: CEO of Dominoes would like, come on and apologize and

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Speaker 2: they'd show like damaged pizzas or pizzas that weren't made correctly,

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Speaker 2: and he's like, I.

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Speaker 1: Am sorry, we will do better.

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Speaker 3: I swear. You're like, was there a guy off camera

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Speaker 3: pointing a gun at him? You make those pizzas better?

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Speaker 1: Remember Thenoid?

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00:14:47,080 --> 00:14:50,000
Speaker 2: Avoid the Nooid one of the great commercial mascots of

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Speaker 2: all time.

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Speaker 1: Stopfordo is too young to remember the Nooid. The Nooid

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Speaker 1: was a stop anime, a claymation stop animation.

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Speaker 3: Uh.

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Speaker 1: It almost seemed like a little troll but in a

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Speaker 1: superhero outfit, red with long ears that was annoying called

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Speaker 1: thenoidm hmm, and I guess it was avoid being annoyed

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Speaker 1: by other pizza places who don't deliver under thirty minutes correct. Yeah,

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Speaker 1: avoid Thennoid man, the nooid is the annoid was difficult

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Speaker 1: to look at. It's like face kept changing with the

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Speaker 1: with the acclaimation.

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Speaker 3: He did get. That's interesting.

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Speaker 2: Like so they jay Z and Stellar Pizza want to

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Speaker 2: have machines where a robot hand makes you a pie

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Speaker 2: to order very quickly, and that's they think that is

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Speaker 2: gonna be worth billions.

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Speaker 1: Yeah, they think it'll compete with because I think like

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Speaker 1: Domino's is something like forty million or forty billion, it

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Speaker 1: should be.

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Speaker 3: Oh yeah, they're big.

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Speaker 2: They deliver a lot of pizzas, and that pizza tracker rules.

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Speaker 2: That thing is the best stupidest innovation of all time.

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Speaker 3: It is so accurate.

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Speaker 1: Also, it's what's crazy about it is that it was

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Speaker 1: around when you lived in Brooklyn. Sure, because I remember

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Speaker 1: the first time I used it was at your house

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Speaker 1: to order a pizza for like a party, and I

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Speaker 1: was like, are we kidding? Like we can see what

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Speaker 1: they're actually doing with this pizza And then like when

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Speaker 1: it hit the thing, it was like bam and the

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Speaker 1: pizza was there.

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Speaker 3: Yes, I mean all the four.

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Speaker 1: Cars had GPT, like the drivers had GPS on them

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Speaker 1: and stuff.

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Speaker 3: Yeah, they were.

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Speaker 2: Still banging out with Tom Tom's getting around Prospect Park.

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Speaker 2: But I wonder, and this has probably already happened, but

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Speaker 2: I wonder if our Murderingo Bananamos, the murder Bananas, know

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Speaker 2: if a Domino's pizza tracker has ever caught like a

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Speaker 2: serial killer or a murderer, or at least created a

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Speaker 2: timeline for a crime.

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Speaker 1: When the order was put in too, when it was

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Speaker 1: delivered and the body was found. That's where the reddit

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00:16:51,920 --> 00:16:56,239
Speaker 1: deep dive. Well that's interesting. Yeah, I worked at Domino's.

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Speaker 1: Did you ever deliver any fast food?

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Speaker 2: No? I never was a delay. I did work at

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Speaker 2: two pizza places. I wort two Boots in Brooklyn, which

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00:17:04,040 --> 00:17:08,640
Speaker 2: I've mentioned many times the But no, I never went

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Speaker 2: door to door and delivered anything.

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Speaker 1: I when I worked at Domino's a delightful experience, truly.

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Speaker 1: It was when I was home from college after my

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Speaker 1: freshman year, I lived back in Jersey looking for a job,

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Speaker 1: started delivering pizzas and I worked. My manager was my

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00:17:31,359 --> 00:17:36,399
Speaker 1: high school girlfriend's ex boyfriend on who she lost her

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Speaker 1: virginity too. And it's not like I live in like

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Speaker 1: the I mean, it is a small, like suburban town,

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Speaker 1: but there's multiple suburban towns right next on top of

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Speaker 1: each other in Jersey. It is very strange that we

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Speaker 1: both ended up at this one place and he was

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Speaker 1: such a dick. If he's out there today, I want

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Speaker 1: to tell him to go fuck himself.

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Speaker 3: Yeah why not?

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Speaker 1: Terrible manager and h and just a real piece of shit.

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Speaker 1: I just want to say. And everybody outs delivering pizza's

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Speaker 1: got a shitty manager. I deliver this fuck you to them.

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Speaker 3: I had an Uber Eats drive.

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Speaker 2: I had an Uber driver who I got in the

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Speaker 2: car and it smelled so much like McDonald's French fries.

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Speaker 2: I was like, man, did you just go to like

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Speaker 2: fast food joint. He's like, oh, Uber Eats is this

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00:18:23,040 --> 00:18:25,200
Speaker 2: new thing we deliver food. And I was like really,

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00:18:25,560 --> 00:18:28,760
Speaker 2: He's like yeah, it's pretty good. I'm sitting there, sitting there.

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00:18:28,800 --> 00:18:31,119
Speaker 2: I go, do you ever eat any other fries? And

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00:18:31,200 --> 00:18:37,159
Speaker 2: he goes every time. He also said McDonald's was the

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00:18:37,240 --> 00:18:39,280
Speaker 2: number one. I was curious in LA I was like, what,

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00:18:39,400 --> 00:18:41,760
Speaker 2: He's like McDonald's five to one for anything else.

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Speaker 1: That's fucking crazy. Oh. Also, that reminds me of your

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Speaker 1: joke that you made about the delivery robots when we

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Speaker 1: were walking. Oh yeah, Los Angeles you're like, who would

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00:18:52,160 --> 00:18:54,040
Speaker 1: have thought that? We do have R two D two

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00:18:54,119 --> 00:18:59,720
Speaker 1: But it's just to deliver people at McDonald's. But the

375
00:18:59,760 --> 00:19:04,160
Speaker 1: fact that you sent me that link to that follow, Yeah,

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00:19:04,200 --> 00:19:05,320
Speaker 1: that follow cooler.

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00:19:05,560 --> 00:19:08,600
Speaker 2: There's a new robot that's a two wheeled robot that

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00:19:08,840 --> 00:19:12,040
Speaker 2: connects to your phone and then it's about the size

379
00:19:12,080 --> 00:19:14,520
Speaker 2: of a normal cooler or.

380
00:19:14,440 --> 00:19:16,560
Speaker 3: Ice box or whatever you called around the world.

381
00:19:16,440 --> 00:19:18,720
Speaker 2: And you can put stuff in it and then wherever

382
00:19:18,800 --> 00:19:21,879
Speaker 2: you walk it follows you about two or three feet

383
00:19:21,920 --> 00:19:25,280
Speaker 2: behind you. I think it's gonna be humongous. I think

384
00:19:25,320 --> 00:19:30,400
Speaker 2: they're gonna That's what Jason Z should be into. Beyonce,

385
00:19:30,480 --> 00:19:32,680
Speaker 2: I'll invest in that salange. You'll get in on that.

386
00:19:33,240 --> 00:19:36,040
Speaker 1: Jason when he takes business meetings, he goes in is

387
00:19:36,160 --> 00:19:36,639
Speaker 1: Jason Z.

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00:19:36,840 --> 00:19:40,000
Speaker 3: Hello, I'm Jason Z. I thought it was Sean Carter. No,

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00:19:40,080 --> 00:19:40,680
Speaker 3: it's Jason Z.

390
00:19:40,840 --> 00:19:43,120
Speaker 2: Actually a lot of people make that mistake. But yeah,

391
00:19:43,200 --> 00:19:45,280
Speaker 2: there's this new thing. We can post it because it

392
00:19:45,320 --> 00:19:47,359
Speaker 2: is bananas, and we should get one next year for

393
00:19:47,880 --> 00:19:50,760
Speaker 2: door to shore too, and just have two little robots

394
00:19:50,800 --> 00:19:53,040
Speaker 2: following us with gatorades in it the whole way across

395
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Speaker 2: the city.

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00:19:53,760 --> 00:19:56,159
Speaker 1: You sent me that video and I happen to be

397
00:19:56,200 --> 00:19:57,960
Speaker 1: watching it, and I'll have looked over at me. She's

398
00:19:57,960 --> 00:19:59,800
Speaker 1: just like, what is that? Yeah, And I was like, Oh,

399
00:19:59,800 --> 00:20:01,879
Speaker 1: it's little robout the files. You'd have stuff in it.

400
00:20:01,960 --> 00:20:06,959
Speaker 1: She's like, let's get one, and I was like, uh,

401
00:20:07,000 --> 00:20:09,199
Speaker 1: it's three thousand dollars. I don't think we could get

402
00:20:09,240 --> 00:20:11,879
Speaker 1: a little cooler for three three thousand dollars cooler?

403
00:20:12,119 --> 00:20:15,159
Speaker 2: Do they still I was thinking about the rocket stuff

404
00:20:15,200 --> 00:20:16,800
Speaker 2: when you were when you were talking about the sky

405
00:20:16,920 --> 00:20:20,800
Speaker 2: as a rocket scientist turned pizza fiend. Do they still

406
00:20:20,880 --> 00:20:25,920
Speaker 2: make sprinklers for kids that shoot things into the air

407
00:20:26,320 --> 00:20:28,240
Speaker 2: like a front yard You put a sprinkler out with

408
00:20:28,240 --> 00:20:32,240
Speaker 2: a hose and then it launches a rocket into the air.

409
00:20:33,000 --> 00:20:35,520
Speaker 1: What it launches a rocket into the air.

410
00:20:35,600 --> 00:20:37,440
Speaker 3: In the eighties, for sure.

411
00:20:38,280 --> 00:20:42,000
Speaker 2: There we had these friends and they had these sprinklers

412
00:20:42,040 --> 00:20:45,920
Speaker 2: that you would like, click down. Theirs was a clown head,

413
00:20:46,040 --> 00:20:48,640
Speaker 2: a plastic hard, plastic clown.

414
00:20:48,760 --> 00:20:51,000
Speaker 1: I feel like I remember that, and it would shoot

415
00:20:51,080 --> 00:20:51,640
Speaker 1: up in the air.

416
00:20:51,680 --> 00:20:54,200
Speaker 2: It would build so much water pressure that some point

417
00:20:54,320 --> 00:20:57,680
Speaker 2: the clown head would pop up about fifteen or twenty

418
00:20:57,680 --> 00:21:00,320
Speaker 2: feet in the air and spray water out. And it's

419
00:21:00,320 --> 00:21:03,080
Speaker 2: really exciting. It's also like if you imagine pennywise from

420
00:21:03,119 --> 00:21:06,240
Speaker 2: it just getting full of water and pressurizing and then

421
00:21:06,280 --> 00:21:07,280
Speaker 2: exploding in the air and.

422
00:21:08,000 --> 00:21:11,360
Speaker 1: Then decapitating and spraying people with liquid.

423
00:21:11,800 --> 00:21:14,520
Speaker 2: But I remember playing in the backyard of this family

424
00:21:14,640 --> 00:21:17,080
Speaker 2: that we were family friends with this little guy, and

425
00:21:17,400 --> 00:21:20,719
Speaker 2: that the plastic clown horror head that would squirt up

426
00:21:20,720 --> 00:21:23,920
Speaker 2: in the air was so painful if the head hit

427
00:21:24,000 --> 00:21:26,080
Speaker 2: you because it was still water in it. So it

428
00:21:26,119 --> 00:21:29,160
Speaker 2: was basically children gathering around this horrific thing. It would

429
00:21:29,160 --> 00:21:31,320
Speaker 2: shoot ten fifteen feet in the air, and then somebody

430
00:21:31,359 --> 00:21:33,720
Speaker 2: would get bonked on the head with it and run

431
00:21:33,840 --> 00:21:36,720
Speaker 2: to their parent on the deck. Crime, so it became

432
00:21:36,760 --> 00:21:39,960
Speaker 2: even scarier. It was the best. But I just wondered

433
00:21:39,960 --> 00:21:42,000
Speaker 2: if they still made those, or if that's one of

434
00:21:42,000 --> 00:21:46,000
Speaker 2: those toys that wisely has been put away after lawsuit

435
00:21:46,040 --> 00:21:46,840
Speaker 2: after lawsuit.

436
00:21:47,560 --> 00:21:50,280
Speaker 1: No, but you know they have the like the wacky

437
00:21:51,080 --> 00:21:54,600
Speaker 1: the wacky arm the best things. You know, as you know,

438
00:21:54,720 --> 00:21:58,680
Speaker 1: because you got one for olivet sprink birthday or something

439
00:21:58,920 --> 00:22:04,040
Speaker 1: you're a sprinkler guy, a delightful gift and we plugged

440
00:22:04,040 --> 00:22:06,359
Speaker 1: it in. And what was fascinating to me about it

441
00:22:06,440 --> 00:22:09,280
Speaker 1: was that I am sure that that is roughly the

442
00:22:09,320 --> 00:22:13,639
Speaker 1: size of what they were in the eighties. Sure, And

443
00:22:13,680 --> 00:22:18,520
Speaker 1: it seems so little. It seems so little now. And

444
00:22:18,600 --> 00:22:20,760
Speaker 1: I was thinking about that for Gus, Like I was

445
00:22:20,800 --> 00:22:23,480
Speaker 1: just like, we were going somewhere. Oh, we're getting in

446
00:22:23,520 --> 00:22:26,520
Speaker 1: a car, and he was upset. So I like kneeled

447
00:22:26,560 --> 00:22:29,639
Speaker 1: down near the car to talk to him, and then

448
00:22:29,640 --> 00:22:32,280
Speaker 1: I just looked at the car, like the door open,

449
00:22:32,760 --> 00:22:35,439
Speaker 1: and I was like, this is what his view of

450
00:22:35,480 --> 00:22:36,000
Speaker 1: this car?

451
00:22:36,280 --> 00:22:38,680
Speaker 3: He is fucking huge.

452
00:22:39,440 --> 00:22:42,000
Speaker 1: It is insane. It's just like we're driving around in

453
00:22:42,040 --> 00:22:43,240
Speaker 1: a goddamn hotel.

454
00:22:44,080 --> 00:22:48,000
Speaker 3: You know, it is so big. He is so little. Yes,

455
00:22:48,480 --> 00:22:49,320
Speaker 3: it's adorable.

456
00:22:49,359 --> 00:22:51,800
Speaker 1: Climb up. I know, like the doorframe, the bottom of

457
00:22:51,800 --> 00:22:53,520
Speaker 1: the door is like at his chest level. You know.

458
00:22:54,560 --> 00:22:57,879
Speaker 3: That is so funny. That's great little rules.

459
00:22:58,040 --> 00:22:59,960
Speaker 2: Yeah, whenever I see a kid walk across the cross,

460
00:23:00,560 --> 00:23:03,040
Speaker 2: I'm like, look at that little guy go all those steps.

461
00:23:03,040 --> 00:23:04,880
Speaker 3: So it's like a football field of that nut.

462
00:23:05,200 --> 00:23:06,840
Speaker 1: I know it is fascinating, isn't it.

463
00:23:06,960 --> 00:23:12,320
Speaker 2: Here's one for you. You have it sentenced by Brandy Baxter.

464
00:23:12,520 --> 00:23:16,040
Speaker 2: That's Brandy with an I BB not a cyclops.

465
00:23:16,160 --> 00:23:19,240
Speaker 1: But my mom's my mom's initials.

466
00:23:18,800 --> 00:23:20,800
Speaker 3: Bb Brandy Baxter.

467
00:23:20,920 --> 00:23:23,440
Speaker 2: I feel like I know four people named Brandy Baxter

468
00:23:24,280 --> 00:23:26,840
Speaker 2: and I do not know this one. But we're so

469
00:23:26,960 --> 00:23:31,040
Speaker 2: glad you're been animal. This was in w I l

470
00:23:31,400 --> 00:23:35,640
Speaker 2: X NBC ten. This was written by Anna Kafman, who

471
00:23:35,800 --> 00:23:40,440
Speaker 2: is by far the best in the business. Drunken man

472
00:23:40,520 --> 00:23:45,320
Speaker 2: calls blood pure natural ice and poops on a PT cruiser.

473
00:23:48,640 --> 00:23:51,400
Speaker 1: I don't even understand that first part. The second part

474
00:23:51,440 --> 00:23:54,639
Speaker 1: I definitely get. Yes, you do me these deats?

475
00:23:54,680 --> 00:23:57,919
Speaker 2: Okay, Well, it comes from the greatest named city in

476
00:23:57,960 --> 00:24:00,000
Speaker 2: North America, Kalamazoo, Michigan.

477
00:24:00,119 --> 00:24:03,000
Speaker 3: In we love that.

478
00:24:02,720 --> 00:24:06,040
Speaker 1: That in Wa Washington, the best right around. My sisters

479
00:24:06,080 --> 00:24:10,480
Speaker 1: go to school in Kalamazoo, Michigan and the University of

480
00:24:10,560 --> 00:24:11,359
Speaker 1: kalama Zoo.

481
00:24:11,680 --> 00:24:12,440
Speaker 3: That sounds fun.

482
00:24:14,560 --> 00:24:19,240
Speaker 2: Count Conservation officers with the Michigan Department of Natural Resources

483
00:24:19,280 --> 00:24:23,360
Speaker 2: are releasing new details about a drunken man who pooped

484
00:24:23,480 --> 00:24:26,040
Speaker 2: on his car during a sobriety test.

485
00:24:27,320 --> 00:24:28,600
Speaker 1: Pooped on his own car.

486
00:24:30,000 --> 00:24:34,040
Speaker 2: Which is such a That's like when you trash somebody's house.

487
00:24:34,080 --> 00:24:35,640
Speaker 2: So that helped him clean it up the next day.

488
00:24:35,640 --> 00:24:37,320
Speaker 2: It's like it couldn't have been me. I'm helping clean

489
00:24:37,359 --> 00:24:43,040
Speaker 2: it up. God that is so funny. The DNR said

490
00:24:43,040 --> 00:24:46,040
Speaker 2: that the incident happened in the do not resuscitate. They

491
00:24:46,080 --> 00:24:50,360
Speaker 2: do not resuscitate. The Department of Natural Resources said that

492
00:24:52,040 --> 00:24:55,080
Speaker 2: the incident happened in early December and Kalamazoo County at

493
00:24:55,080 --> 00:24:59,520
Speaker 2: the gord Neck State Game Area near the hunting h

494
00:25:00,080 --> 00:25:01,879
Speaker 2: near the end of hunting hours. Oh, I'm sorry, So

495
00:25:01,880 --> 00:25:04,000
Speaker 2: it happened at the end of hunting hours, which whatever

496
00:25:04,040 --> 00:25:04,560
Speaker 2: that means.

497
00:25:04,960 --> 00:25:07,000
Speaker 1: They were trying to change the name of Gordon Next

498
00:25:07,040 --> 00:25:09,919
Speaker 1: State Park and there was an outcry people like, what

499
00:25:09,960 --> 00:25:13,000
Speaker 1: are you going to change the name of gord Neck away?

500
00:25:13,760 --> 00:25:16,600
Speaker 1: The most delightful name ever name of park?

501
00:25:16,880 --> 00:25:19,200
Speaker 3: Why did we name it that? After our first ranger

502
00:25:20,080 --> 00:25:21,240
Speaker 3: he had a weird neck.

503
00:25:21,480 --> 00:25:24,800
Speaker 2: Officers Cameron Wright and Joshua Sallas came across a PT

504
00:25:24,960 --> 00:25:26,960
Speaker 2: cruiser parked at the entrance with.

505
00:25:26,920 --> 00:25:28,040
Speaker 3: A man behind the wheel.

506
00:25:29,000 --> 00:25:31,760
Speaker 2: The part said the officers asked him if he had

507
00:25:31,760 --> 00:25:35,560
Speaker 2: been hunting, and he immediately became aggravated and said there

508
00:25:36,000 --> 00:25:38,240
Speaker 2: that he was there to listen to owls and wanted

509
00:25:38,280 --> 00:25:39,119
Speaker 2: to be left alone.

510
00:25:40,960 --> 00:25:43,359
Speaker 3: You know something that we all want to do, just par.

511
00:25:43,280 --> 00:25:47,920
Speaker 1: Classic park windows up listening to owls. Uh, just got

512
00:25:47,960 --> 00:25:50,720
Speaker 1: my party Time cruiser gassed up. I'm ready to listen

513
00:25:50,760 --> 00:25:54,800
Speaker 1: to owls. What that is a great question. What does

514
00:25:54,920 --> 00:25:57,240
Speaker 1: PT stand Ford PT Cruiser?

515
00:25:57,320 --> 00:26:00,399
Speaker 2: I don't know party time to me, but I don't know.

516
00:26:00,960 --> 00:26:02,920
Speaker 1: Isn't it P. T. Barnum as well?

517
00:26:03,480 --> 00:26:04,600
Speaker 3: I mean that's a man.

518
00:26:05,600 --> 00:26:07,920
Speaker 1: I mean yeah, I wonder what P. T. Barnum stood

519
00:26:08,000 --> 00:26:11,960
Speaker 1: for Paul Thomas. Let's see, he was a former mayor

520
00:26:11,960 --> 00:26:12,680
Speaker 1: of Bridgeport.

521
00:26:12,720 --> 00:26:13,320
Speaker 3: I didn't know that.

522
00:26:13,800 --> 00:26:18,520
Speaker 1: Yeah, Bridgeport, connecticutt Phineas Taylor Barnum. It could also be

523
00:26:18,520 --> 00:26:19,920
Speaker 1: phineas Taylor Cruiser.

524
00:26:21,119 --> 00:26:24,080
Speaker 3: Phineas Taylor Cruiser. Great name for the episode.

525
00:26:24,320 --> 00:26:27,879
Speaker 2: The DNR said officers noticed an open, tall container of

526
00:26:27,960 --> 00:26:30,960
Speaker 2: natural ice beer in the cup holder. They asked the man,

527
00:26:31,000 --> 00:26:33,320
Speaker 2: on a scale of one to ten, how drunk he was,

528
00:26:33,440 --> 00:26:37,000
Speaker 2: which is such a good question to ask any drunk person. Yeah, yeah,

529
00:26:37,040 --> 00:26:40,360
Speaker 2: and he allegedly replied, quote, I'm out of five. I'll

530
00:26:40,400 --> 00:26:41,399
Speaker 2: be honest, I'm drunk.

531
00:26:42,960 --> 00:26:46,000
Speaker 1: Because he's thinking he's parked. He thinks he's safe.

532
00:26:46,359 --> 00:26:47,440
Speaker 3: Yeah, he's just right.

533
00:26:47,960 --> 00:26:52,119
Speaker 1: I'm not driving and he's about to get fucked.

534
00:26:52,400 --> 00:26:52,880
Speaker 3: Oh yeah.

535
00:26:53,080 --> 00:26:55,440
Speaker 2: Dave report said the officers told the man to turn

536
00:26:55,480 --> 00:26:58,480
Speaker 2: off his car and they began to conduct a sobriety test.

537
00:26:58,880 --> 00:27:01,440
Speaker 2: Halfway through the test, the report said, the man made

538
00:27:01,440 --> 00:27:04,080
Speaker 2: a face of shock, grabbed his rear end, dropped his

539
00:27:04,119 --> 00:27:06,560
Speaker 2: pants to his ankles, and began pooping on the rear

540
00:27:06,680 --> 00:27:11,800
Speaker 2: of his car. I mean, don't you let him off

541
00:27:11,840 --> 00:27:16,199
Speaker 2: for that? Don't you go he he's struggling. He at

542
00:27:16,320 --> 00:27:19,000
Speaker 2: least in hit his pants, Like yeah, just.

543
00:27:19,080 --> 00:27:22,159
Speaker 1: Drive him home at that point, Like the punishment is

544
00:27:22,200 --> 00:27:26,359
Speaker 1: a shit stained pt. Phineas Taylor cruiser on a like

545
00:27:26,600 --> 00:27:28,440
Speaker 1: not where he lives, where he has to go get

546
00:27:28,440 --> 00:27:29,000
Speaker 1: it tomorrow.

547
00:27:29,160 --> 00:27:31,959
Speaker 2: Take drag him to the closest ponder leg, dip him

548
00:27:32,000 --> 00:27:35,120
Speaker 2: waist down two or three times like dying an Easter egg,

549
00:27:35,240 --> 00:27:36,800
Speaker 2: and then put him in the back of the paddy

550
00:27:36,840 --> 00:27:43,960
Speaker 2: wagon and drive him home. So DNR said the man

551
00:27:44,040 --> 00:27:45,840
Speaker 2: was arrested at that point and take him to a

552
00:27:45,880 --> 00:27:48,000
Speaker 2: hospital for a blood draw. On the way there, he

553
00:27:48,119 --> 00:27:51,720
Speaker 2: told an officer who was using a GPS that quote, Man,

554
00:27:52,080 --> 00:27:53,800
Speaker 2: I'm the drunk one here and I have to give

555
00:27:53,880 --> 00:27:55,760
Speaker 2: you directions how to take me to jail.

556
00:27:55,800 --> 00:28:00,600
Speaker 3: You more on where are they.

557
00:28:00,520 --> 00:28:03,560
Speaker 1: Getting these where are these getting these quotes from from

558
00:28:03,600 --> 00:28:04,560
Speaker 1: the cops?

559
00:28:04,600 --> 00:28:06,040
Speaker 3: Like this is they're.

560
00:28:05,880 --> 00:28:08,800
Speaker 1: Just like reporting on sick burns from the back seat.

561
00:28:08,920 --> 00:28:10,480
Speaker 3: Yeah, this guy is a trip man.

562
00:28:10,600 --> 00:28:12,280
Speaker 2: I'm the drunk one here and I have to give

563
00:28:12,320 --> 00:28:15,520
Speaker 2: you directions so you could take me how to take.

564
00:28:15,359 --> 00:28:19,720
Speaker 3: Me to jail? You moron again, I'd like this guy's style.

565
00:28:20,480 --> 00:28:25,199
Speaker 1: I really do the report. Listening to owls. That's what

566
00:28:25,240 --> 00:28:27,359
Speaker 1: I'm gonna say. What anybody asks me what I'm doing.

567
00:28:27,680 --> 00:28:30,200
Speaker 1: I'm mine in my own business. Listen to owls. I'd

568
00:28:30,200 --> 00:28:31,159
Speaker 1: like to be left alone.

569
00:28:32,480 --> 00:28:34,960
Speaker 3: The report said. While the band was at the hospital getting.

570
00:28:34,760 --> 00:28:37,520
Speaker 2: A blood draw, he told nurses that they were not

571
00:28:37,640 --> 00:28:40,880
Speaker 2: drawing his blood. Instead, they were quote, it's all beer.

572
00:28:41,160 --> 00:28:47,120
Speaker 2: Not gonna lie to you, pure natural ice. I mean,

573
00:28:47,440 --> 00:28:50,520
Speaker 2: drinking and driving is very wrong. We're not saying that.

574
00:28:50,560 --> 00:28:53,400
Speaker 2: But Dad is so funny.

575
00:28:54,080 --> 00:28:57,760
Speaker 1: Drinking and listening to owls. That's okay. Just turn your

576
00:28:57,760 --> 00:28:59,560
Speaker 1: car off and throw the keys out the window when

577
00:28:59,600 --> 00:29:02,840
Speaker 1: you do it, folks, And he got me going, oh,

578
00:29:03,000 --> 00:29:04,040
Speaker 1: that's so good.

579
00:29:04,320 --> 00:29:09,200
Speaker 2: I was running a TV show in Hawaii, a Turtle

580
00:29:09,200 --> 00:29:13,160
Speaker 2: Bay resort, north shore of who great, great, great, great, great.

581
00:29:12,960 --> 00:29:13,600
Speaker 3: Place to be.

582
00:29:13,760 --> 00:29:17,160
Speaker 2: It's very isolated, but the hotel and the staff will

583
00:29:17,200 --> 00:29:18,120
Speaker 2: let you shoot anything.

584
00:29:18,200 --> 00:29:19,360
Speaker 3: Do anything you want.

585
00:29:19,720 --> 00:29:22,120
Speaker 2: So the way the show would work is six comics

586
00:29:22,160 --> 00:29:25,640
Speaker 2: would fly in. They would do acting for two days

587
00:29:25,640 --> 00:29:27,440
Speaker 2: and then stand up on the second night, and then

588
00:29:27,480 --> 00:29:29,880
Speaker 2: those six would leave and six more would arrive, and

589
00:29:29,960 --> 00:29:32,200
Speaker 2: those six comics would do stand up and acting, and

590
00:29:32,280 --> 00:29:35,640
Speaker 2: we would go through a ton of comics and everybody would.

591
00:29:35,440 --> 00:29:37,120
Speaker 3: Kind of get two or three days in paradise. It

592
00:29:37,240 --> 00:29:37,720
Speaker 3: was awesome.

593
00:29:38,320 --> 00:29:42,880
Speaker 2: Well, one of our costume and wardrobe people had thought

594
00:29:42,880 --> 00:29:49,640
Speaker 2: ahead and mailed shrooms, mailed magic mushrooms to the resort

595
00:29:49,960 --> 00:29:53,560
Speaker 2: for Robert Plant who is the lead singer of Led Zeppelin.

596
00:29:53,760 --> 00:29:56,200
Speaker 3: Yes, that is not our costumer's name.

597
00:29:57,560 --> 00:30:01,960
Speaker 1: So so mailed it before she before she left.

598
00:30:01,520 --> 00:30:07,400
Speaker 2: Before she left the Continental US mailed a bunch of shrooms,

599
00:30:07,960 --> 00:30:09,680
Speaker 2: knowing we were all going to be in paradise.

600
00:30:09,880 --> 00:30:12,160
Speaker 3: So there we are over the weekend and the weekend.

601
00:30:12,280 --> 00:30:15,680
Speaker 1: Okay, sorry, I'm sorry to keep interrupting. I love her

602
00:30:15,720 --> 00:30:19,959
Speaker 1: to keep interrupting. So she mailed it like on her

603
00:30:20,000 --> 00:30:22,240
Speaker 1: way to the airport, so then she would be at

604
00:30:22,240 --> 00:30:25,000
Speaker 1: the airport when it arrived. Or I mean she would

605
00:30:25,000 --> 00:30:27,160
Speaker 1: be at the resort, yeah, I mean she would be

606
00:30:27,200 --> 00:30:30,160
Speaker 1: at the resort when it arrived, yes, or did it

607
00:30:30,240 --> 00:30:34,680
Speaker 1: arrive before she checked in my question she got there first. Nice,

608
00:30:34,960 --> 00:30:35,440
Speaker 1: so smart?

609
00:30:35,480 --> 00:30:41,880
Speaker 2: Well, yes, so so risky, so illegal, so smart. So

610
00:30:42,160 --> 00:30:44,520
Speaker 2: over the weekend of the first week, we actually have

611
00:30:44,960 --> 00:30:48,200
Speaker 2: twelve comics because we shoot on Fridays and Mondays, and

612
00:30:48,280 --> 00:30:50,920
Speaker 2: we usually do our friends because we want people to

613
00:30:50,920 --> 00:30:53,200
Speaker 2: stay longer. When you did this show, we did New Orleans,

614
00:30:53,280 --> 00:30:54,760
Speaker 2: we made sure that you were over a weekend and

615
00:30:54,800 --> 00:30:56,440
Speaker 2: Kristin Shaw was over the weekend so we could all

616
00:30:56,480 --> 00:31:02,880
Speaker 2: hang out. So this consumer distributes trims to every single

617
00:31:02,880 --> 00:31:05,320
Speaker 2: person that wants them. You know, a crew of forty

618
00:31:05,360 --> 00:31:09,160
Speaker 2: five people, twelve comics, a bunch of and so there's

619
00:31:09,200 --> 00:31:11,280
Speaker 2: a point where we're all standing in the pool at

620
00:31:11,280 --> 00:31:13,560
Speaker 2: this gorgeous resort, drinks sundown and I look around and

621
00:31:13,680 --> 00:31:16,640
Speaker 2: I am not tripping. I am not enhanced in any

622
00:31:16,640 --> 00:31:17,760
Speaker 2: way besides drinking.

623
00:31:18,360 --> 00:31:20,000
Speaker 1: Yeah, you're an EP on the show. You got to

624
00:31:20,080 --> 00:31:22,080
Speaker 1: keep yes and yeah.

625
00:31:22,200 --> 00:31:25,800
Speaker 2: So I look around and see every single person working

626
00:31:25,840 --> 00:31:29,120
Speaker 2: for me except the star of the show. Everybody else

627
00:31:29,360 --> 00:31:34,280
Speaker 2: is just giggling and having the most wonderful time standing

628
00:31:34,280 --> 00:31:36,480
Speaker 2: in a pool nor shore, Hawaii. Sun is setting. They're

629
00:31:36,520 --> 00:31:39,840
Speaker 2: getting paid to be there. And there's this guy named Dennis,

630
00:31:39,880 --> 00:31:42,800
Speaker 2: who's on the crew. He's an older guy, he's late fifties, sixties,

631
00:31:43,640 --> 00:31:45,120
Speaker 2: and I won't say what his job is because I

632
00:31:45,120 --> 00:31:47,400
Speaker 2: don't want to get him in trouble. But at some

633
00:31:47,560 --> 00:31:50,440
Speaker 2: point he is not only tripping, but he's very drunk,

634
00:31:50,560 --> 00:31:53,400
Speaker 2: and he comes up to me and he's like, I

635
00:31:53,520 --> 00:31:57,720
Speaker 2: want to hang with you, dude, And I go, absolutely,

636
00:31:57,840 --> 00:31:59,600
Speaker 2: I'm going to dinner with some of the comics.

637
00:32:00,120 --> 00:32:01,240
Speaker 3: He goes, I'm coming.

638
00:32:01,920 --> 00:32:05,880
Speaker 2: So we go to the fanciest restaurant at Turtleback and

639
00:32:05,920 --> 00:32:07,680
Speaker 2: I'm going to take a few of these comics out.

640
00:32:08,040 --> 00:32:10,560
Speaker 2: Two of them are not tripping at all. Two of

641
00:32:10,600 --> 00:32:14,080
Speaker 2: them are at the bar my hair and makeup. People

642
00:32:14,200 --> 00:32:18,960
Speaker 2: are so high. It's there pointing and laughing, and it's fantastic.

643
00:32:19,000 --> 00:32:22,680
Speaker 2: I mean, it's just the most wonderful weekend. So Dennis

644
00:32:22,720 --> 00:32:25,160
Speaker 2: is one of those people who repeats himself when he's

645
00:32:25,240 --> 00:32:28,200
Speaker 2: drunk or inebriated. Have you ever dated somebody or known

646
00:32:28,200 --> 00:32:30,520
Speaker 2: anybody that just tells the same story and they hit

647
00:32:30,560 --> 00:32:31,440
Speaker 2: the same cadence.

648
00:32:31,920 --> 00:32:33,600
Speaker 1: It's real rough, and they laugh at the.

649
00:32:33,560 --> 00:32:36,560
Speaker 3: Same thing, and then they do it again, and then

650
00:32:36,640 --> 00:32:37,400
Speaker 3: well that was him.

651
00:32:38,160 --> 00:32:41,080
Speaker 2: So we sit down with these comics, and there's like

652
00:32:41,120 --> 00:32:43,800
Speaker 2: six of us at the table, and Dennis just ignores

653
00:32:43,840 --> 00:32:46,680
Speaker 2: that anybody else wants to have conversation, and he keeps

654
00:32:46,720 --> 00:32:48,880
Speaker 2: going to the comics or the only people there.

655
00:32:48,880 --> 00:32:51,280
Speaker 3: He doesn't under he doesn't know, and he's like, you.

656
00:32:51,320 --> 00:32:56,040
Speaker 2: Guys don't understand, and they're like, what don't we understand?

657
00:32:56,280 --> 00:33:04,520
Speaker 2: He goes, we are a family, Me, Scottie, Mikey, Goons.

658
00:33:04,960 --> 00:33:07,840
Speaker 3: We have this guy named Goons. Huh.

659
00:33:07,880 --> 00:33:10,280
Speaker 2: And so they're like just scared shitless that this older

660
00:33:10,320 --> 00:33:15,920
Speaker 2: guy is drinking more clearly just tripping very hard. He

661
00:33:16,440 --> 00:33:21,000
Speaker 2: proceeds to say that sentence about seven times. One of

662
00:33:21,040 --> 00:33:23,360
Speaker 2: the comics, there's Matt Ingebrets and a friend of ours,

663
00:33:23,480 --> 00:33:24,360
Speaker 2: a great comic.

664
00:33:25,880 --> 00:33:29,280
Speaker 1: Also for just for everyone listening to understand, like this

665
00:33:29,360 --> 00:33:33,320
Speaker 1: is everyone's first time on television for the most part,

666
00:33:33,760 --> 00:33:36,000
Speaker 1: Like that was like the theme of the show, as

667
00:33:36,000 --> 00:33:37,840
Speaker 1: it was like first time comics for the most part.

668
00:33:38,000 --> 00:33:38,360
Speaker 3: That's right.

669
00:33:38,360 --> 00:33:41,520
Speaker 2: And then yeah, and so Matt's not he's not on trooms.

670
00:33:41,640 --> 00:33:43,719
Speaker 2: A few other people aren't on trooms at the table,

671
00:33:44,320 --> 00:33:46,480
Speaker 2: but they are getting so bored and fed up with

672
00:33:46,520 --> 00:33:49,960
Speaker 2: this guy. Dennis repeatedly telling the story that he that

673
00:33:50,040 --> 00:33:54,320
Speaker 2: dentist started going, you guys don't understand, and Matt would go,

674
00:33:54,600 --> 00:33:56,280
Speaker 2: what what don't we understand?

675
00:33:56,640 --> 00:34:04,120
Speaker 3: And he goes, we are family. Me Scotty Mikey goons.

676
00:34:05,520 --> 00:34:09,360
Speaker 2: Then it becomes you guys don't understand, and Matt's going,

677
00:34:10,239 --> 00:34:11,240
Speaker 2: who's your family?

678
00:34:11,520 --> 00:34:13,360
Speaker 3: He goes, we are family.

679
00:34:16,040 --> 00:34:19,200
Speaker 2: So at some point the entire table is just letting

680
00:34:19,239 --> 00:34:21,799
Speaker 2: him start, and then we're all just adding to it,

681
00:34:21,840 --> 00:34:24,440
Speaker 2: and he just hard charges through all of it. I

682
00:34:24,480 --> 00:34:26,400
Speaker 2: gotta get up for a call. Time we all eat dinner.

683
00:34:26,520 --> 00:34:32,400
Speaker 2: This conversation happens around forty times. Next morning, I'm walking

684
00:34:32,400 --> 00:34:34,920
Speaker 2: around getting coffee. I see Man, I see Jen, a

685
00:34:34,960 --> 00:34:36,640
Speaker 2: couple of other comics that are there, and I'm like,

686
00:34:37,000 --> 00:34:38,080
Speaker 2: I'm sorry about that?

687
00:34:38,800 --> 00:34:39,520
Speaker 3: What happened?

688
00:34:40,239 --> 00:34:42,680
Speaker 2: And Mec goes, oh, and you went to bed where

689
00:34:42,680 --> 00:34:45,000
Speaker 2: we were walking down the hall and Dennis just follows us.

690
00:34:45,040 --> 00:34:47,480
Speaker 3: He goes, who's got dope? I want to stay up

691
00:34:47,480 --> 00:34:48,320
Speaker 3: and get high?

692
00:34:49,760 --> 00:34:52,399
Speaker 2: And I guess they found somebody at the island who

693
00:34:52,400 --> 00:34:55,359
Speaker 2: had weed and smoked weed with some random all night.

694
00:34:56,280 --> 00:35:05,880
Speaker 2: Oh Man, good old Dennis, Me, Mikey, Scottie goons. Why

695
00:35:06,880 --> 00:35:10,080
Speaker 2: why do we have this? Our brains are just broken record?

696
00:35:10,120 --> 00:35:10,640
Speaker 3: Machines.

697
00:35:11,200 --> 00:35:13,759
Speaker 1: I know it is really true. It's fascinating. I was

698
00:35:13,800 --> 00:35:18,399
Speaker 1: in so I'm I'm taking a bit off drinking and uh.

699
00:35:18,480 --> 00:35:22,400
Speaker 1: And so I went to a party sober last weekend, okay,

700
00:35:22,800 --> 00:35:26,280
Speaker 1: and and I find I don't mind parties sober.

701
00:35:26,320 --> 00:35:27,919
Speaker 3: Honestly, you're a great socializer.

702
00:35:28,120 --> 00:35:30,960
Speaker 1: I don't really mind them. I thought it would be

703
00:35:31,000 --> 00:35:32,959
Speaker 1: like difficult to not have a drink at a party,

704
00:35:32,960 --> 00:35:37,480
Speaker 1: and it was not. But but what is difficult is

705
00:35:37,800 --> 00:35:46,160
Speaker 1: around eleven forty when everyone else tips over into dumb,

706
00:35:46,920 --> 00:35:51,200
Speaker 1: I got trapped. I just kept continually getting trapped by

707
00:35:51,280 --> 00:35:56,040
Speaker 1: drunk people who were like not stopping talking right, and

708
00:35:56,200 --> 00:35:58,000
Speaker 1: I would just be there and I was like there.

709
00:35:58,120 --> 00:36:00,040
Speaker 1: At some point they this has gone on ten in

710
00:36:00,080 --> 00:36:02,000
Speaker 1: fifteen minutes. They have to realize that I have not

711
00:36:02,520 --> 00:36:06,239
Speaker 1: said a word. They have to notice that. Yeah, no,

712
00:36:06,280 --> 00:36:08,480
Speaker 1: they did not notice this. I was trying to get

713
00:36:08,480 --> 00:36:10,640
Speaker 1: by one drunk guy who had trapped me before, and

714
00:36:10,680 --> 00:36:13,680
Speaker 1: I'd like gotten away from him, and he like actively

715
00:36:13,800 --> 00:36:16,640
Speaker 1: grabbed me, like like yelled at me and like a

716
00:36:16,680 --> 00:36:18,560
Speaker 1: confusing way. So I was like what, and then just

717
00:36:18,600 --> 00:36:21,319
Speaker 1: started being like when I was a kid, I had

718
00:36:21,360 --> 00:36:26,880
Speaker 1: a skin rash. Then went in to just talking about

719
00:36:26,880 --> 00:36:30,360
Speaker 1: a skin rash for ten to fifteen minutes, to the

720
00:36:30,360 --> 00:36:32,319
Speaker 1: point where until I just had to leave. I had

721
00:36:32,360 --> 00:36:34,200
Speaker 1: to just walk away from him. You got to you

722
00:36:34,239 --> 00:36:35,160
Speaker 1: gotta get out of there.

723
00:36:35,200 --> 00:36:36,920
Speaker 2: You gotta get out of there. My go to is

724
00:36:36,920 --> 00:36:39,120
Speaker 2: always I'm going to go freshen up my drink. Good

725
00:36:39,120 --> 00:36:41,960
Speaker 2: to see you. But then there does come a point

726
00:36:42,120 --> 00:36:45,080
Speaker 2: where even that doesn't get you out of there, and

727
00:36:45,160 --> 00:36:48,280
Speaker 2: as you get older, and maybe for our younger ban animals,

728
00:36:48,320 --> 00:36:51,560
Speaker 2: never ever hesitate to go. It's been so good talking

729
00:36:51,600 --> 00:36:52,960
Speaker 2: to you. I'm going to mingle and just talk to

730
00:36:53,000 --> 00:36:54,839
Speaker 2: some other people. But i'll see in a little bit.

731
00:36:55,520 --> 00:36:56,560
Speaker 1: Yes, that's so smart.

732
00:36:56,600 --> 00:37:00,880
Speaker 3: I say it all the time. Nobody's offended wherever gets it.

733
00:37:01,120 --> 00:37:03,960
Speaker 2: Yes, we all know we're just making small talk and

734
00:37:04,080 --> 00:37:05,479
Speaker 2: waiting eighty years and then dying.

735
00:37:05,520 --> 00:37:06,799
Speaker 3: That's what all this is.

736
00:37:07,040 --> 00:37:10,120
Speaker 2: So don't feel bad about being like God, it's been

737
00:37:10,120 --> 00:37:12,040
Speaker 2: so great catching up. Pardon me, I'm just gonna do

738
00:37:12,040 --> 00:37:13,799
Speaker 2: a little mingling. I'll catch up with you in a

739
00:37:13,800 --> 00:37:15,799
Speaker 2: little bit. Great to see you by and get out

740
00:37:15,840 --> 00:37:19,760
Speaker 2: of there. You want to tease us into a late break, Yes, please,

741
00:37:20,360 --> 00:37:21,040
Speaker 2: I'm having fun.

742
00:37:21,080 --> 00:37:23,920
Speaker 1: Wow, Yeah, we're having fun. Man. Yeah, look at this

743
00:37:24,040 --> 00:37:31,280
Speaker 1: late break here it is Buddy Boom, this terrifying robotic

744
00:37:31,360 --> 00:37:33,800
Speaker 1: mouth Chance AI generated prayers.

745
00:37:35,000 --> 00:37:39,160
Speaker 2: This okay, so robot Chance prayers. I love it. I

746
00:37:39,160 --> 00:37:41,359
Speaker 2: can't wait to hear more about it. We'll be right

747
00:37:41,360 --> 00:37:44,279
Speaker 2: back with more bananas.

748
00:37:56,160 --> 00:38:11,480
Speaker 4: From all the way around, folks.

749
00:38:11,520 --> 00:38:14,319
Speaker 1: We are back, Scott. You got any shout outs real quick?

750
00:38:14,400 --> 00:38:15,399
Speaker 3: Yeah, I'll do some shout outs.

751
00:38:15,480 --> 00:38:18,160
Speaker 2: Leanne wants to shout out Britt who opened a zero

752
00:38:18,440 --> 00:38:21,879
Speaker 2: waste refillery store, which I didn't know was a thing

753
00:38:22,080 --> 00:38:26,920
Speaker 2: in scrant Pennsylvania. It's called Little Wild Refillery. I guess

754
00:38:26,960 --> 00:38:30,640
Speaker 2: it has this great environmental impact. I'm I don't know

755
00:38:30,680 --> 00:38:31,880
Speaker 2: what a refillery.

756
00:38:31,520 --> 00:38:33,240
Speaker 3: Is, but it sounds pretty cool.

757
00:38:33,640 --> 00:38:38,399
Speaker 1: I'm gonna guess it's you bring your like your you know, detergents,

758
00:38:38,640 --> 00:38:41,080
Speaker 1: you know, just soap, stuff like that that's empty, and

759
00:38:41,120 --> 00:38:44,960
Speaker 1: they'll fill up the soap or the spray or the whatever. Well,

760
00:38:45,000 --> 00:38:45,840
Speaker 1: that's cool.

761
00:38:46,280 --> 00:38:49,400
Speaker 2: If she got a big grant to do this in Scranton,

762
00:38:49,600 --> 00:38:52,759
Speaker 2: so that's awesome. Yes, Britt, we love you. If you

763
00:38:52,800 --> 00:38:55,120
Speaker 2: want to check out more, you can find it at

764
00:38:55,360 --> 00:39:01,239
Speaker 2: at the Little Wild Refillery. That's pretty neat. We want

765
00:39:01,280 --> 00:39:04,200
Speaker 2: to shout out Billy from the Nothing to Fear Podcast.

766
00:39:04,400 --> 00:39:07,160
Speaker 2: If you are a horror movie newbie who is too

767
00:39:07,200 --> 00:39:10,240
Speaker 2: afraid to watch horror movies on your own or by yourself,

768
00:39:10,560 --> 00:39:13,440
Speaker 2: you can listen to the Nothing to Fear Podcast. I

769
00:39:13,600 --> 00:39:16,879
Speaker 2: was a guest on it. I talked about ma check

770
00:39:16,920 --> 00:39:20,920
Speaker 2: it out, Billy rules, longtime bananimal, and I think celebrating.

771
00:39:20,440 --> 00:39:22,240
Speaker 3: A birthday shortly nice.

772
00:39:22,280 --> 00:39:26,160
Speaker 2: And finally, Jonathan wants to shout out Sherry, one of

773
00:39:26,200 --> 00:39:28,480
Speaker 2: my all time favorite names, Sherry, who is a die

774
00:39:28,560 --> 00:39:31,400
Speaker 2: hard bananimal and an all around amazing person. She is

775
00:39:31,480 --> 00:39:36,160
Speaker 2: dealing with a peeping Tom right now, Kurt peeping Tom.

776
00:39:36,239 --> 00:39:38,719
Speaker 2: That is a cat that stares at her all day

777
00:39:38,760 --> 00:39:40,320
Speaker 2: while she does chores.

778
00:39:39,960 --> 00:39:43,640
Speaker 3: And it's quite unnerving. I could relate to that.

779
00:39:43,680 --> 00:39:46,520
Speaker 2: Punk is always staring at me from different windows till

780
00:39:46,560 --> 00:39:48,680
Speaker 2: I let it in so I can drink out of

781
00:39:48,760 --> 00:39:51,360
Speaker 2: my bathtub and then lie on my computer.

782
00:39:52,640 --> 00:39:55,520
Speaker 3: And that is all I got bananimals, Well be kind,

783
00:39:55,760 --> 00:39:58,400
Speaker 3: I got one. Scottie, Oh good.

784
00:39:59,440 --> 00:40:03,000
Speaker 1: I want to sh out little movie that's coming out

785
00:40:03,520 --> 00:40:09,520
Speaker 1: Memorial Day Weekend. Oh Boy called The Machine, featuring not

786
00:40:09,640 --> 00:40:14,279
Speaker 1: only Mark Hamill but also Bert Kreischer, based on the

787
00:40:14,400 --> 00:40:20,200
Speaker 1: legendary Bert Kreischer's stand up story The Machine, written by

788
00:40:20,280 --> 00:40:24,320
Speaker 1: your one and only Scottilandis that is true?

789
00:40:24,360 --> 00:40:25,480
Speaker 3: I have a new movie.

790
00:40:26,080 --> 00:40:28,640
Speaker 2: It's going to be at every theater everywhere all around

791
00:40:28,680 --> 00:40:31,160
Speaker 2: the world Memorial Day weekend. If you're a big fan

792
00:40:31,200 --> 00:40:36,000
Speaker 2: of Bert Kreischer. It's an action comedy. I wrote it

793
00:40:36,320 --> 00:40:39,640
Speaker 2: during the Great Choar in twenty twenty. While everybody else

794
00:40:39,719 --> 00:40:42,719
Speaker 2: was bacon bread, I was writing The Machine. So thank you, Kurt.

795
00:40:42,760 --> 00:40:45,239
Speaker 2: I appreciate that. I hope the Banan animals enjoy it.

796
00:40:46,000 --> 00:40:48,399
Speaker 1: Oh man, I can't wait. I can't wait. Hope you

797
00:40:48,400 --> 00:40:49,840
Speaker 1: you're going to the premiere. Do you know if you

798
00:40:49,880 --> 00:40:50,319
Speaker 1: don't know.

799
00:40:50,280 --> 00:40:51,640
Speaker 3: Any details about the premiere?

800
00:40:51,680 --> 00:40:54,839
Speaker 2: I actually haven't seen the movie yet, so I will

801
00:40:54,880 --> 00:40:58,080
Speaker 2: be as surprised and delighted as everybody who sees it.

802
00:40:58,840 --> 00:41:01,720
Speaker 2: Let's go ahead and make let's give it avatar numbers.

803
00:41:02,800 --> 00:41:05,280
Speaker 2: Let's go for a one point three billion dollar box

804
00:41:05,320 --> 00:41:09,759
Speaker 2: office for action comedy. But yes, I have another movie

805
00:41:09,760 --> 00:41:11,800
Speaker 2: in theaters, and I'm very excited.

806
00:41:12,320 --> 00:41:16,040
Speaker 1: That's so cool, man, congratulations. It is not to not

807
00:41:16,200 --> 00:41:19,879
Speaker 1: only have your second movie in theaters, but to have

808
00:41:19,920 --> 00:41:22,839
Speaker 1: it open Memorial Day weekend. For those who don't know

809
00:41:23,040 --> 00:41:26,480
Speaker 1: the movie business. Memorial Day weekend is when you open

810
00:41:26,800 --> 00:41:30,799
Speaker 1: when you drop your like Blockbuster, true, the one that's

811
00:41:30,840 --> 00:41:34,240
Speaker 1: gonna like, it's gonna compete opening day. It's gonna compete

812
00:41:34,239 --> 00:41:36,839
Speaker 1: with the Little Mermaid, all right, Like that's where we're at.

813
00:41:36,920 --> 00:41:39,080
Speaker 1: This movie is competing with the Little Mermaid. That's what

814
00:41:39,120 --> 00:41:39,960
Speaker 1: they think it can do.

815
00:41:40,320 --> 00:41:43,080
Speaker 2: So go see the Little Mermaid with your kids during

816
00:41:43,120 --> 00:41:45,480
Speaker 2: the day and then you know, burn one and go

817
00:41:45,520 --> 00:41:46,560
Speaker 2: see the Machine at night.

818
00:41:46,680 --> 00:41:48,520
Speaker 3: I'm fine with that. I'm pro Little Mermaid.

819
00:41:49,080 --> 00:41:50,080
Speaker 1: I'm pro Little Mermaid.

820
00:41:50,160 --> 00:41:53,160
Speaker 2: We love that little Mermaid swimming around like a little fish.

821
00:41:53,280 --> 00:41:56,719
Speaker 1: I'm gonna take my kids to see buswam. Just the

822
00:41:56,760 --> 00:41:59,520
Speaker 1: main thing here it is here we go. This. This

823
00:41:59,800 --> 00:42:02,880
Speaker 1: art goes sent in by copy Haste. Oh our boy,

824
00:42:03,560 --> 00:42:06,839
Speaker 1: he knows me. Copy Haste knows me. This was in

825
00:42:07,120 --> 00:42:12,840
Speaker 1: hacker Hackster dot io sounds real. Written by Cameron Coward,

826
00:42:14,880 --> 00:42:17,799
Speaker 1: who is not a coward. He's brave to write such

827
00:42:17,800 --> 00:42:22,400
Speaker 1: a beautiful piece. Uh Cameron, I had no This is

828
00:42:22,440 --> 00:42:25,520
Speaker 1: three years old. So this it says this terrifying robotic

829
00:42:25,560 --> 00:42:27,840
Speaker 1: mouth chance Ai generated prayers.

830
00:42:27,920 --> 00:42:28,480
Speaker 3: Interesting.

831
00:42:28,760 --> 00:42:32,000
Speaker 1: So here's the details about it. Our goal here at

832
00:42:32,000 --> 00:42:34,520
Speaker 1: Hackster is to empower members of make or community to

833
00:42:34,560 --> 00:42:37,680
Speaker 1: tackle any projects they can imagine. We're always amazed by

834
00:42:37,680 --> 00:42:40,360
Speaker 1: the innovative builds y'all come up with, but sometimes we

835
00:42:40,480 --> 00:42:43,440
Speaker 1: worry about some of you. Sure, this robotic mouth that

836
00:42:43,600 --> 00:42:48,359
Speaker 1: chance AI generated prayers, for example, is quite disturbing. Yes,

837
00:42:48,640 --> 00:42:54,600
Speaker 1: this thing was created by Diamut Streb or Streab in

838
00:42:54,680 --> 00:42:59,160
Speaker 1: collaboration with many others from mit C SALE Computer Science

839
00:42:59,160 --> 00:43:03,360
Speaker 1: and Artificial and Intelligence Laboratory, and other institutions. It's called

840
00:43:03,520 --> 00:43:07,640
Speaker 1: the Prayer and is ostensibly an art installation. That said,

841
00:43:07,680 --> 00:43:09,920
Speaker 1: we think they created it for no other reason than

842
00:43:09,920 --> 00:43:13,160
Speaker 1: to give us all nightmares. When the prayer is switched

843
00:43:13,200 --> 00:43:17,640
Speaker 1: on a fairly realistic silicon mouth, well Cameron, I guess

844
00:43:17,640 --> 00:43:21,920
Speaker 1: you've never seen a mount. It looks so fucked up

845
00:43:22,960 --> 00:43:26,759
Speaker 1: begins chanting prayers. Those prayers are generated in real time

846
00:43:26,800 --> 00:43:30,200
Speaker 1: through a neural network based machine learning software. The team

847
00:43:30,280 --> 00:43:33,200
Speaker 1: says that it's intended to answer the question how would

848
00:43:33,200 --> 00:43:38,080
Speaker 1: a divine epiphany appear to an artificial intelligence after seeing

849
00:43:38,200 --> 00:43:40,720
Speaker 1: and hearing the prayer operate. We think that's a question

850
00:43:40,840 --> 00:43:44,719
Speaker 1: better left unanswered. As you can see in the video

851
00:43:44,719 --> 00:43:48,080
Speaker 1: of the mouth, which sits below an equally unsettling nose moves.

852
00:43:48,120 --> 00:43:50,960
Speaker 1: Along with the chanting, AI is used to generate the

853
00:43:50,960 --> 00:43:53,440
Speaker 1: text for the prayers and also to synthesize the realistic

854
00:43:53,520 --> 00:43:57,720
Speaker 1: sounding voice. Thanks to Amazon Polly, it's able to continuously

855
00:43:57,800 --> 00:44:01,359
Speaker 1: generate new prayers meaning and this eerie robot could keep

856
00:44:01,440 --> 00:44:05,040
Speaker 1: chanting endlessly until someone has the courage to turn it off.

857
00:44:05,600 --> 00:44:08,000
Speaker 1: This was three years ago. I would love an update.

858
00:44:08,080 --> 00:44:10,319
Speaker 2: Oh, I bet it's doing I bet it's singing like

859
00:44:10,320 --> 00:44:13,040
Speaker 2: Whoopie Goldberg and Sister Act at this point. I mean,

860
00:44:13,960 --> 00:44:19,600
Speaker 2: that's crazy. But also, I like prayers are all nonsense.

861
00:44:19,960 --> 00:44:24,160
Speaker 2: All prayers are nonsense. So the difference between just kind

862
00:44:24,239 --> 00:44:27,200
Speaker 2: of talking to something out there, the great neuron in

863
00:44:27,239 --> 00:44:31,560
Speaker 2: the sky. Like, I actually think organized prayers and repeating

864
00:44:31,600 --> 00:44:33,759
Speaker 2: things are kind of weird. You're kind of like a

865
00:44:33,960 --> 00:44:36,200
Speaker 2: druid if you're doing that. Like it's better just to

866
00:44:36,239 --> 00:44:41,080
Speaker 2: be like God, if you exist. I need a little

867
00:44:41,080 --> 00:44:42,880
Speaker 2: help here, Like that's a prayer.

868
00:44:43,640 --> 00:44:47,359
Speaker 1: Yeah. I Taylor Tomlinson has a really funny joke which

869
00:44:47,400 --> 00:44:50,080
Speaker 1: I don't I just remember the punchline, which is she

870
00:44:50,120 --> 00:44:55,680
Speaker 1: calls she says, prayers is whispering secrets to the wind.

871
00:44:56,040 --> 00:44:59,800
Speaker 2: Yes, but that's I like, so I'm all four robots

872
00:44:59,800 --> 00:45:01,520
Speaker 2: per go get it, guys.

873
00:45:01,480 --> 00:45:04,040
Speaker 1: I am too, I kind of I think it is

874
00:45:04,160 --> 00:45:07,080
Speaker 1: kind of a cool piece of art. The disturbing part

875
00:45:07,120 --> 00:45:10,760
Speaker 1: is to have a fleshlight do it? Wait? The most

876
00:45:10,800 --> 00:45:14,200
Speaker 1: upsetting part of fleshlight below a giant rubber nose. Yes,

877
00:45:14,400 --> 00:45:16,799
Speaker 1: is really the most disturbing way to hear at AI.

878
00:45:17,040 --> 00:45:21,080
Speaker 2: Hey, that is someone specific kink right there, and they

879
00:45:21,120 --> 00:45:24,720
Speaker 2: didn't even know it until these geniuses who invent AI

880
00:45:24,880 --> 00:45:25,480
Speaker 2: created it.

881
00:45:25,520 --> 00:45:27,600
Speaker 3: And somebody's like, I'm a buy one of those.

882
00:45:27,600 --> 00:45:30,959
Speaker 1: I'm a buy one. I'm horny. This makes me think,

883
00:45:31,000 --> 00:45:36,000
Speaker 1: of course, of Jokatron, my AI generated joke writing software

884
00:45:36,480 --> 00:45:38,440
Speaker 1: the data scientists wrote for me. And if you go

885
00:45:38,480 --> 00:45:41,640
Speaker 1: and watch my special Perfectly Stupid, that you can do

886
00:45:41,760 --> 00:45:45,200
Speaker 1: for free right now. Really I have on YouTube, go

887
00:45:45,239 --> 00:45:49,800
Speaker 1: to perfectly Stupid dot com. Jokatron is in the special,

888
00:45:49,800 --> 00:45:52,840
Speaker 1: but in a special easter egg at the end of

889
00:45:52,880 --> 00:45:54,719
Speaker 1: the credits, So if you go all the way through

890
00:45:54,719 --> 00:45:57,440
Speaker 1: the credits, then Jokatron will come on and you can

891
00:45:57,480 --> 00:45:59,680
Speaker 1: see some AI generated jokes.

892
00:45:59,800 --> 00:46:04,720
Speaker 2: Baby, you should just what happened to Jokatron the robot device?

893
00:46:04,840 --> 00:46:06,160
Speaker 2: Where where does it exist?

894
00:46:06,239 --> 00:46:06,399
Speaker 3: Right?

895
00:46:06,440 --> 00:46:10,400
Speaker 1: Now Joe Cautron robot device is actually just a telepresence

896
00:46:10,480 --> 00:46:13,640
Speaker 1: machine with a iPad tape to it. So it just

897
00:46:13,680 --> 00:46:14,800
Speaker 1: got packed away.

898
00:46:15,040 --> 00:46:17,239
Speaker 2: Just somewhere, okay, because you should do it down at

899
00:46:17,280 --> 00:46:19,480
Speaker 2: the allusion, you should just do like a Wednesday night

900
00:46:19,480 --> 00:46:22,400
Speaker 2: midnight show with Jokatron and be like, and away it goes.

901
00:46:22,480 --> 00:46:24,560
Speaker 2: Let's see what this hour of comedy is.

902
00:46:25,080 --> 00:46:28,560
Speaker 1: Yeah, it is really difficult with it, just only because

903
00:46:28,600 --> 00:46:32,880
Speaker 1: it's so bad, because it's because it's so in the

904
00:46:32,920 --> 00:46:37,440
Speaker 1: beginning of its stages. And this was before you know,

905
00:46:37,480 --> 00:46:41,919
Speaker 1: the AI stuff. It it changes so quickly. And that's

906
00:46:41,960 --> 00:46:46,080
Speaker 1: what I realized that have I talked to you about

907
00:46:46,080 --> 00:46:50,040
Speaker 1: this that like that my friends and I on a

908
00:46:50,080 --> 00:46:52,920
Speaker 1: text chain, we're all just sending, you know, putting different

909
00:46:52,960 --> 00:46:56,360
Speaker 1: words into that AI generated art machine, and then it

910
00:46:56,400 --> 00:46:58,200
Speaker 1: would always come back and it would be fucked up,

911
00:46:58,239 --> 00:47:00,399
Speaker 1: you know, it would look really stupid, right, and then

912
00:47:00,560 --> 00:47:05,400
Speaker 1: literally three weeks later it was looking like perfect and

913
00:47:05,480 --> 00:47:08,640
Speaker 1: like very realistic and like very good. And I was like,

914
00:47:08,760 --> 00:47:13,279
Speaker 1: that's how quickly it learned because all of us, all

915
00:47:13,360 --> 00:47:16,759
Speaker 1: of us, like just millions of people gleefully trained it

916
00:47:17,160 --> 00:47:19,960
Speaker 1: on which one was the right one, you know, of

917
00:47:20,000 --> 00:47:21,759
Speaker 1: all of the ones and so we and the fact

918
00:47:21,800 --> 00:47:24,480
Speaker 1: that it happened that quickly, Like that's the way this

919
00:47:24,520 --> 00:47:27,600
Speaker 1: shit's gonna go down, Like it's gonna be there's nothing,

920
00:47:28,040 --> 00:47:31,920
Speaker 1: and then one day it's just gonna turn on and

921
00:47:32,480 --> 00:47:35,279
Speaker 1: that's it. It's like the end of thee as we

922
00:47:35,360 --> 00:47:35,600
Speaker 1: know it.

923
00:47:35,719 --> 00:47:38,279
Speaker 2: Yeah, yeah, I mean it killed me first, you know,

924
00:47:38,440 --> 00:47:42,200
Speaker 2: Let me eat a nice burrito and then I will

925
00:47:42,320 --> 00:47:45,080
Speaker 2: volunteer as tribute. I do not want to see that

926
00:47:45,200 --> 00:47:47,759
Speaker 2: post apocalyptic world. I've had a great run.

927
00:47:48,800 --> 00:47:50,600
Speaker 1: I mean, I'm fascinated. I want to see it. I

928
00:47:50,600 --> 00:47:52,600
Speaker 1: want to see what they do here. I got one

929
00:47:52,640 --> 00:47:55,399
Speaker 1: to wrap us up tight with this, all right, send

930
00:47:55,480 --> 00:47:55,839
Speaker 1: us home.

931
00:47:56,040 --> 00:47:58,200
Speaker 2: This is sort of a follow up to a couple

932
00:47:58,239 --> 00:48:00,560
Speaker 2: of things we've done over the past couple yek years.

933
00:48:00,680 --> 00:48:03,800
Speaker 3: This was sent in by Maren or Marin Madison.

934
00:48:03,960 --> 00:48:07,040
Speaker 2: Thank you and sorry, I don't know your exact pronunciation

935
00:48:07,160 --> 00:48:08,000
Speaker 2: of your first name.

936
00:48:08,120 --> 00:48:11,359
Speaker 3: I'm gonna go with Maren sent this.

937
00:48:11,360 --> 00:48:13,800
Speaker 2: This was from the Mirror dot co dot UK, written

938
00:48:13,840 --> 00:48:17,160
Speaker 2: by Best in the Beeswax Charlotte Hawes.

939
00:48:17,520 --> 00:48:20,719
Speaker 3: She is very good man.

940
00:48:21,360 --> 00:48:24,160
Speaker 2: Only eats mac and cheese for breakfast, lunch and dinner

941
00:48:24,320 --> 00:48:24,919
Speaker 2: every day.

942
00:48:24,960 --> 00:48:27,000
Speaker 3: For seventeen years.

943
00:48:27,280 --> 00:48:31,280
Speaker 1: Oh boy, but see it finally met the most boring

944
00:48:31,400 --> 00:48:35,480
Speaker 1: man in the universe. So dull, so dull.

945
00:48:35,960 --> 00:48:39,080
Speaker 2: And this is the first the first three words four

946
00:48:39,120 --> 00:48:42,279
Speaker 2: words I'm about to say. Really put a spin on

947
00:48:42,320 --> 00:48:44,520
Speaker 2: this because it says man only needs mac and cheese

948
00:48:44,520 --> 00:48:47,799
Speaker 2: for breakfast, lunch, dinner every seventeen years or every day

949
00:48:47,840 --> 00:48:48,680
Speaker 2: for seventeen years.

950
00:48:48,840 --> 00:48:50,640
Speaker 3: First, here we go a.

951
00:48:50,680 --> 00:48:54,879
Speaker 2: Twenty year old man from Florida, So that means from

952
00:48:54,920 --> 00:48:58,120
Speaker 2: age three to twenty, I mean twenty, you are man.

953
00:48:58,480 --> 00:49:00,400
Speaker 2: But I thought this was gonna be like a dude

954
00:49:00,400 --> 00:49:03,799
Speaker 2: that at like thirty had a quarter life and was like,

955
00:49:03,840 --> 00:49:08,000
Speaker 2: it's mac and cheese. No, this guy just his whole

956
00:49:08,120 --> 00:49:10,720
Speaker 2: childhood and teenageers only eat mac and cheese.

957
00:49:11,200 --> 00:49:13,879
Speaker 1: You could really change this to just say man only

958
00:49:13,920 --> 00:49:16,160
Speaker 1: eats mac and cheese for entire life.

959
00:49:16,320 --> 00:49:19,000
Speaker 3: That's you got it. That's why you're the best in

960
00:49:19,080 --> 00:49:20,840
Speaker 3: the biz. Sorry.

961
00:49:20,960 --> 00:49:23,640
Speaker 2: Charlotte Hawes, a twenty year old man from Florida, has

962
00:49:23,680 --> 00:49:26,479
Speaker 2: explained why his diet consists of only macaroni and cheese,

963
00:49:26,520 --> 00:49:28,239
Speaker 2: a dish that he has had for breakfast, lunch, and

964
00:49:28,280 --> 00:49:32,600
Speaker 2: dinner for the last seventeen years. Austin Davis from Florida

965
00:49:32,800 --> 00:49:35,600
Speaker 2: has explained in detail that he has eaten a strict

966
00:49:35,719 --> 00:49:39,920
Speaker 2: diet of macaroni and cheese in a short film. The documentary,

967
00:49:40,160 --> 00:49:43,640
Speaker 2: which has been filmed by Vice, sees the twenty year

968
00:49:43,640 --> 00:49:46,280
Speaker 2: old go into detail about his love for the cheesy

969
00:49:46,400 --> 00:49:50,960
Speaker 2: pasta dish and nothing else because nothing else seems to

970
00:49:51,000 --> 00:49:56,320
Speaker 2: excite his taste buds, which is absolutely crazy.

971
00:49:56,440 --> 00:49:57,240
Speaker 1: It's insane.

972
00:49:58,400 --> 00:50:01,400
Speaker 2: There are so many things to excit. There's mushrooms on

973
00:50:01,440 --> 00:50:04,839
Speaker 2: pizza made by a robot vending machine. I mean, I'm

974
00:50:04,840 --> 00:50:05,800
Speaker 2: not even gonna praise.

975
00:50:06,400 --> 00:50:08,360
Speaker 1: I'm not even telling him to go eat an apple,

976
00:50:08,719 --> 00:50:12,000
Speaker 1: not even have a pizza. Have a slice of pizza

977
00:50:12,440 --> 00:50:17,120
Speaker 1: very similar. Wild and cheese, yes, but just with a

978
00:50:17,280 --> 00:50:18,440
Speaker 1: little bit of tomato.

979
00:50:18,840 --> 00:50:21,640
Speaker 2: Montrel cheese stick. I remember when those were invented. You

980
00:50:21,719 --> 00:50:23,799
Speaker 2: dip them in that pipe and hot mare and era.

981
00:50:23,960 --> 00:50:25,719
Speaker 2: You're having a good date night.

982
00:50:26,400 --> 00:50:29,240
Speaker 1: But also think about how many problems this has caused

983
00:50:29,320 --> 00:50:33,440
Speaker 1: him in his life, like the commitment to boredom, the

984
00:50:33,480 --> 00:50:39,919
Speaker 1: commitment to being boring has I'm sure cost him friends partners,

985
00:50:40,760 --> 00:50:43,200
Speaker 1: Like he can't go out to dinner. He's not going

986
00:50:43,239 --> 00:50:46,200
Speaker 1: to a restaurant unless it has mac and cheese. You

987
00:50:46,239 --> 00:50:48,000
Speaker 1: can't bring him anywhere.

988
00:50:48,160 --> 00:50:51,600
Speaker 2: Yeah, it's a tough one. This is not normal obviously.

989
00:50:52,640 --> 00:50:55,359
Speaker 2: Mister Davis lives with his grandparents, Richard and Faye love

990
00:50:55,400 --> 00:50:57,360
Speaker 2: the name Fay, in a small town and in the

991
00:50:57,400 --> 00:50:59,320
Speaker 2: short film, he goes to a trip to local grocery

992
00:50:59,320 --> 00:51:01,319
Speaker 2: store to pick up his favorite meal. He scours the

993
00:51:01,320 --> 00:51:05,319
Speaker 2: shelves alongside the documentary crew, and mister Davis refers to

994
00:51:05,360 --> 00:51:06,080
Speaker 2: the meat.

995
00:51:05,920 --> 00:51:07,480
Speaker 3: Section as a hellscape.

996
00:51:08,400 --> 00:51:10,759
Speaker 2: True for many people, I think, while claiming that he

997
00:51:10,800 --> 00:51:12,880
Speaker 2: is unfamiliar with most vegetables.

998
00:51:13,600 --> 00:51:15,000
Speaker 3: Yeah, I would say all of them.

999
00:51:15,600 --> 00:51:18,080
Speaker 2: Despite his lack of knowledge for the vegetable department, mister

1000
00:51:18,120 --> 00:51:20,960
Speaker 2: Davis only came to the grocery store to purchase his

1001
00:51:21,040 --> 00:51:22,880
Speaker 2: beloved Velveta.

1002
00:51:22,239 --> 00:51:23,400
Speaker 3: Macaroni and cheese.

1003
00:51:24,160 --> 00:51:26,200
Speaker 2: The twenty year old claim that hid the meal's his

1004
00:51:26,200 --> 00:51:29,480
Speaker 2: favorite as it is the most consistent end quote, always

1005
00:51:29,600 --> 00:51:34,120
Speaker 2: tastes pretty much the same end quote. Man, not even

1006
00:51:34,200 --> 00:51:36,600
Speaker 2: chopping up some Oscar Myer Wieners in there.

1007
00:51:36,680 --> 00:51:38,479
Speaker 3: You know, a classic kid meal.

1008
00:51:38,920 --> 00:51:42,320
Speaker 1: I also wonder. I wonder if Velvita will also donate

1009
00:51:42,360 --> 00:51:46,399
Speaker 1: his headstone when he dies in two years, Like will

1010
00:51:46,480 --> 00:51:50,840
Speaker 1: it just be a giant? Like just granite mac and

1011
00:51:50,920 --> 00:51:53,120
Speaker 1: cheese box in the ground. I'm sure he would be

1012
00:51:53,160 --> 00:51:54,000
Speaker 1: psyched about that.

1013
00:51:54,239 --> 00:51:54,960
Speaker 3: I love that.

1014
00:51:56,280 --> 00:51:59,200
Speaker 2: Miss Davis added, I don't want to say I'm addicted

1015
00:51:59,239 --> 00:52:01,480
Speaker 2: to mac and cheese because that would sound weird.

1016
00:52:01,560 --> 00:52:04,000
Speaker 3: But my body just won't let me eat anything.

1017
00:52:03,640 --> 00:52:05,480
Speaker 1: Else that would sound weird.

1018
00:52:05,560 --> 00:52:08,240
Speaker 3: That would sound weird to be addicted.

1019
00:52:07,840 --> 00:52:10,280
Speaker 1: To bacca cheese, but eating it every day for seventeen

1020
00:52:10,360 --> 00:52:14,120
Speaker 1: years totally normal. Wait, would you raise your hand? A

1021
00:52:14,160 --> 00:52:16,440
Speaker 1: little hand comes up in your upper left hand corner.

1022
00:52:16,600 --> 00:52:19,600
Speaker 1: It's all right, yeah, new zoom.

1023
00:52:20,440 --> 00:52:23,279
Speaker 2: Let's try to do some stuff that's so weird and

1024
00:52:23,360 --> 00:52:24,320
Speaker 2: we'll talk about AI.

1025
00:52:24,400 --> 00:52:25,960
Speaker 3: Now they're watching us. Yeah.

1026
00:52:26,000 --> 00:52:28,319
Speaker 2: If this computer starts praying at me, I'm running out

1027
00:52:28,360 --> 00:52:32,080
Speaker 2: of here, no, sir. In his home, mister Davis has

1028
00:52:32,120 --> 00:52:34,920
Speaker 2: a large kitchen cupboard stacked high with boxes of macaroni

1029
00:52:34,960 --> 00:52:37,120
Speaker 2: and cheese, and in the documentary, the twenty year old

1030
00:52:37,120 --> 00:52:40,320
Speaker 2: whips up a bowl of his favorite dish. All right, Charlotte,

1031
00:52:40,320 --> 00:52:43,680
Speaker 2: you've said favorite dish like nineteen times. You're getting promoted

1032
00:52:43,760 --> 00:52:48,799
Speaker 2: to mediumist and the biz. He tells the camera that

1033
00:52:48,840 --> 00:52:50,520
Speaker 2: he's aware as a problem, and he even said at

1034
00:52:50,560 --> 00:52:52,560
Speaker 2: one point that he's sick of it, but he refuses

1035
00:52:52,600 --> 00:52:55,960
Speaker 2: to alter his diet. When I try to eat new foods,

1036
00:52:55,960 --> 00:53:00,000
Speaker 2: the first thing that happens is like blinders on the food,

1037
00:53:00,120 --> 00:53:03,440
Speaker 2: to the point where it's like somehow in my hand.

1038
00:53:03,960 --> 00:53:06,960
Speaker 2: I'm about to eat it, Like as it enters my mouth,

1039
00:53:07,000 --> 00:53:10,080
Speaker 2: it's just a century overload of all the things. This

1040
00:53:10,320 --> 00:53:12,839
Speaker 2: is the texture, this is the consistency, this is how

1041
00:53:12,840 --> 00:53:15,160
Speaker 2: it feels in your mouth. Oh God, there's the taste,

1042
00:53:15,200 --> 00:53:17,080
Speaker 2: and there's a bunch of new flavors that you've never

1043
00:53:17,120 --> 00:53:22,280
Speaker 2: experienced before. Even if I'm trying, I still involuntarily gag.

1044
00:53:23,239 --> 00:53:24,919
Speaker 3: I mean, maybe this is.

1045
00:53:25,040 --> 00:53:29,360
Speaker 1: Something deeper psychological. He then adds, it definitely sounds like

1046
00:53:29,440 --> 00:53:33,440
Speaker 1: something deeper. Now now I feel bad now making fun

1047
00:53:33,520 --> 00:53:34,279
Speaker 1: of Ah.

1048
00:53:34,400 --> 00:53:36,200
Speaker 3: You know, it's fine.

1049
00:53:36,680 --> 00:53:39,640
Speaker 2: To some extent, mister Davis's extreme diet would be a

1050
00:53:39,719 --> 00:53:42,880
Speaker 2: dream no. But to the twenty year old, it stems

1051
00:53:42,880 --> 00:53:45,120
Speaker 2: from a personal experience he had during his childhood. He

1052
00:53:45,200 --> 00:53:49,359
Speaker 2: has selective eating disorder known as avoidant restrictive food intake disorder,

1053
00:53:49,400 --> 00:53:50,720
Speaker 2: which we've discussed.

1054
00:53:50,360 --> 00:53:51,600
Speaker 3: On the pod before are FIT.

1055
00:53:52,320 --> 00:53:55,600
Speaker 2: It's an anxiety disorder where an individual persistently refused to

1056
00:53:55,600 --> 00:53:57,919
Speaker 2: eat a specific food or any type of food because

1057
00:53:57,920 --> 00:54:01,120
Speaker 2: they don't want to get a native response. Mister Davis

1058
00:54:01,160 --> 00:54:04,360
Speaker 2: explained in the short film that he is particularly grossed

1059
00:54:04,360 --> 00:54:05,600
Speaker 2: out by the thought.

1060
00:54:05,840 --> 00:54:09,920
Speaker 3: Of blood and raw meat. That makes sense, Yeah.

1061
00:54:09,800 --> 00:54:13,160
Speaker 1: Of course that also as you said that a thumbs

1062
00:54:13,200 --> 00:54:14,400
Speaker 1: up appeared in your screen.

1063
00:54:14,440 --> 00:54:18,600
Speaker 3: This is going crazy. I don't know why to give you.

1064
00:54:18,560 --> 00:54:24,680
Speaker 1: A thumbs up there, I said for the highlighted raw meat,

1065
00:54:24,680 --> 00:54:28,960
Speaker 1: A dig a little thumbs up, a pre wait a second,

1066
00:54:30,239 --> 00:54:32,040
Speaker 1: oh bed uh.

1067
00:54:32,160 --> 00:54:35,440
Speaker 2: When he received his arfit diagnosis, mister Davis said he

1068
00:54:35,480 --> 00:54:37,640
Speaker 2: was actually relieved. Good for you, and that is true

1069
00:54:37,680 --> 00:54:39,439
Speaker 2: when you know what the there's the thumbs up again,

1070
00:54:39,520 --> 00:54:43,239
Speaker 2: look at that go when you we all go through

1071
00:54:43,280 --> 00:54:45,920
Speaker 2: things in life where something's wrong, we're embarrassed by it,

1072
00:54:45,920 --> 00:54:47,480
Speaker 2: we don't know how to talk about it. And then

1073
00:54:47,520 --> 00:54:50,560
Speaker 2: when you get diagnosed, sometimes it's a relief. Even if

1074
00:54:50,560 --> 00:54:52,319
Speaker 2: it's not like the best news. You're like, Okay, at

1075
00:54:52,400 --> 00:54:53,680
Speaker 2: least I know what this is.

1076
00:54:54,239 --> 00:54:56,600
Speaker 1: I know we're turning around. I'm turning around, coming back

1077
00:54:56,640 --> 00:55:00,000
Speaker 1: around this guy. I'm coming around. See. I didn't understand

1078
00:55:00,080 --> 00:55:03,480
Speaker 1: handed at first. Now I don't necessarily understand it, but

1079
00:55:03,560 --> 00:55:07,719
Speaker 1: I understand that there's a reason for it, and I'm

1080
00:55:07,719 --> 00:55:09,919
Speaker 1: making the adjustment. I want him to live a long,

1081
00:55:10,000 --> 00:55:11,560
Speaker 1: happy life, and I want him to be able to

1082
00:55:11,560 --> 00:55:14,200
Speaker 1: eat other things with his own health someday.

1083
00:55:14,320 --> 00:55:17,240
Speaker 2: This documentary and the other stories we've covered in the past,

1084
00:55:17,440 --> 00:55:21,279
Speaker 2: they they're psychologists that work with these people, they are dietitians,

1085
00:55:21,320 --> 00:55:23,520
Speaker 2: and then they get them and then the next news

1086
00:55:23,520 --> 00:55:25,760
Speaker 2: story is like I eat pork belly.

1087
00:55:25,840 --> 00:55:28,760
Speaker 3: It rules like they just go the other way. Usually.

1088
00:55:29,080 --> 00:55:34,359
Speaker 2: Yeah, yeah, I mean that's really it. We could say

1089
00:55:34,400 --> 00:55:37,000
Speaker 2: that we'll get out with these, he says, I'm not crazy.

1090
00:55:37,040 --> 00:55:37,640
Speaker 3: It has a name.

1091
00:55:37,719 --> 00:55:39,560
Speaker 2: This is the thing that's been hanging over my head.

1092
00:55:39,600 --> 00:55:41,920
Speaker 2: And you know what, like I said, sometimes the diagnosis

1093
00:55:42,000 --> 00:55:43,240
Speaker 2: is a major relief.

1094
00:55:43,680 --> 00:55:46,040
Speaker 1: Yeah, no kidding. And I'm happy that he actually went

1095
00:55:46,200 --> 00:55:49,640
Speaker 1: and uh and got the diagnosis. You know, like that's

1096
00:55:49,719 --> 00:55:50,840
Speaker 1: a big, huge step.

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00:55:51,080 --> 00:55:57,400
Speaker 2: Bingo Bengo Austin Davis Bananimal of the Week. He's banana

1098
00:55:57,400 --> 00:56:00,760
Speaker 2: of the week even though he won't eat them by them.

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00:56:00,960 --> 00:56:03,040
Speaker 3: A lot of people don't like the mouth feel of

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00:56:03,040 --> 00:56:06,120
Speaker 3: a banana. I for a lot of people think they're wonderful.

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00:56:06,640 --> 00:56:09,319
Speaker 1: I do as well. Well, guys, we made it to

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00:56:09,320 --> 00:56:10,880
Speaker 1: another episode of Bananas.

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00:56:10,880 --> 00:56:13,880
Speaker 2: Thank you so much, Scottie, thank you, Curty b everybody

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00:56:14,000 --> 00:56:17,000
Speaker 2: right before you fall asleep tonight whisper I'm cute to

1105
00:56:17,120 --> 00:56:19,200
Speaker 2: yourself and just see how you feel in the morning.

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00:56:22,480 --> 00:56:35,480
Speaker 3: Now, Nuts Bananas is an exactly right media production.

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00:56:35,640 --> 00:56:37,880
Speaker 1: Our producer and engineer is Katie Levine.

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00:56:38,280 --> 00:56:41,480
Speaker 2: The catchy Bananas theme song was composed and performed by Kahan.

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00:56:41,719 --> 00:56:45,040
Speaker 1: Artwork for Bananas was designed by Travis Millard.

1110
00:56:45,040 --> 00:56:47,880
Speaker 2: And our benevolent overlords are the great Karen Kilgareff and

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00:56:47,920 --> 00:56:48,800
Speaker 2: Georgia Hartstart

1112
00:56:48,920 --> 00:56:53,240
Speaker 1: And Lisa Maggott is our full human, not a robot intern.