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Speaker 1: Hello the Internet, and welcome to season three, twenty, episode

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Speaker 1: five of der Daly's I Guys Say production of iHeartRadio.

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Speaker 1: This is a podcast where we take a deep dive

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Speaker 1: in America's haircutshousness. We take a deep dive into American

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Speaker 1: shared consciousness. Is what we do. I muttered it, and

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Speaker 1: I don't want to mutter. And I want people to

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Speaker 1: know what this show is about. Yeah, damn it off top.

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Speaker 1: It's Friday, January twelfth, twenty twenty four. You know what

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Speaker 1: that is? Mile Hey, I you what that is?

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Speaker 2: If you've got if you've got auburn hairs and that

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Speaker 2: little bit of a red tinge.

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Speaker 1: Guess what. Let's kiss a ginger Day. And it's also

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Speaker 1: National Marzipan Day. Look all my almond lovers.

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Speaker 2: I got a lot of almond lovers in my life,

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Speaker 2: and we like we fuck with the Marzapan.

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Speaker 1: Not like the blocks of it, but when it's in

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Speaker 1: a pastry. I like that.

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Speaker 2: Also National Curry Chicken Day, National Pharmacist Day.

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Speaker 1: Your shirt handed to the pharmacy, though not a lot

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Speaker 1: of pharmacy assistants of it. We see you a pharmacist,

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Speaker 1: we see your gingers, and we're coming for you with

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Speaker 1: kiss lips and we you legally have to let us

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Speaker 1: kiss you because that's the day. Yeah, cause you imagine,

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Speaker 1: you know, there are some weird ass bosses out there

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Speaker 1: who are hey, it's look, it's kissing Joe. What was

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Speaker 1: I supposed to do? Hug you? No? I follow directions?

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Speaker 1: What why are you calling the cops? First of all,

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Speaker 1: it's very respectful to refer to you as a ginger.

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Speaker 1: Second of all, I get to kiss you anyways. My

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Speaker 1: name's Jack O'Brien. Ak dig a big hole where you were?

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Speaker 1: Now place where I think about? A chill ass tunnel?

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Speaker 1: Wonder why you haven't before? That is courtesy Willie Kay

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Speaker 1: A little stand r e M tunnel. Feeling the call

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Speaker 1: of the tunnel folks, the tunnels are calling. I wanna.

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Speaker 1: I want to just crawl around in the sewers. I

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Speaker 1: want to build my own sewers. There's some weird ninja

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Speaker 1: turtleshit going on and get on some weird and I

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Speaker 1: want my dad to be a rat and I'll eat

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Speaker 1: his pizza. You know. The ninja turtles are like really

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Speaker 1: about found family when you come down to yeah, truly, wow,

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Speaker 1: people love to tell you things are about found family. Anyways,

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Speaker 1: I'm thrilled to be joined as always by my co host,

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Speaker 1: mister Miles Grass. It's Miles Gray.

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Speaker 2: I don't know if I'm a time traveler. I've been

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Speaker 2: in a tunnel too long, but I'm still jet LaGG.

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Speaker 2: Jon't name it because I could care less about my

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Speaker 2: sleep patterns struggling or my toddler's sleep struggling.

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Speaker 1: It is keeping me up so late. I just want

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Speaker 1: to kiss him, and he just he wants to just

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Speaker 1: rip my face off because he's at that age where

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Speaker 1: he just snatches at your face and scratches. You discovered

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Speaker 1: these nails, dude, his nails are fucking adamantium.

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Speaker 2: I I the other day when I was in Japan,

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Speaker 2: My like one of my aunts was like, oh shit,

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Speaker 2: what happened?

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Speaker 1: You fall drunk or something? And it was like, no,

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Speaker 1: he clawed out, like how my cheek skin? I did

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Speaker 1: not do. I did not go his face surfing on

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Speaker 1: the pavement. Yeah, that's one of my favorite pastimes in

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Speaker 1: my twenties, face surfing on his face, serving on the pavement. Dude,

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Speaker 1: call me Kelly Slater. I do love that you're that

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Speaker 1: your aunt in this scenario is like comfortable enough with

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Speaker 1: you to be.

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Speaker 2: Like you fall drunk from well, that's just how like

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Speaker 2: you know Asian culture is, It's like there's no punches pulled.

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Speaker 1: They're like, what do you fall down drunk because you

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Speaker 1: all fucked up?

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Speaker 2: Or it's like, oh wow, is it because you you

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Speaker 2: you ate too much last night?

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Speaker 1: Because I saw how much you ate last night? Is

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Speaker 1: that why your your whole center gravity was off? That's

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Speaker 1: how you felt. I'm like, no, the baby ripped my

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Speaker 1: skin off the next question, whereas my entire life is

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Speaker 1: just moving from one pulled punch to another, just at

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Speaker 1: the dance like movement from people.

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Speaker 2: Know, people with the immigrant families know it's direct to

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Speaker 2: your face and a cause for a lot of therapy

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Speaker 2: and the cycles we're trying to break. And also we

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Speaker 2: wrestle with the fact like but it's love, I think,

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Speaker 2: or is that a toxic way to get I don't know.

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Speaker 1: I don't know what happened, man, you gotta you got

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Speaker 1: a crippling problem or something. What's going on exactly? Got Wow?

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Speaker 1: She's like what if that cut on your face? I

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Speaker 1: was like, wow, you're a lot balder.

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Speaker 2: Really yeah, I'm like, yeah, you know, time, that's time

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Speaker 2: has come today for.

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Speaker 1: My hairline time. But yeah, that's how it is. That's

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Speaker 1: just how it works. That's how it works out there.

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Speaker 1: People know, if you know, you know, if you know

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Speaker 1: you know, if you know you know pulling up on that.

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Speaker 1: I don't know the rest of those things, but I

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Speaker 1: do know. Those are the first words. Miles. We are

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Speaker 1: thrilled to be joined in our third seat. Yeah by

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Speaker 1: a brilliant comedian, writer actor. He is riding a recumbent

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Speaker 1: bike in his short shorts. He is the inventor of

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Speaker 1: the idea to refer to one of the legs plumpers.

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Speaker 1: He's got a bunch of great stand up albums you

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Speaker 1: should go check out right now. He is Blake wexlan.

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Speaker 3: A. This is Blake Wexler AKA. He spends his nights

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Speaker 3: in California interviewing stars on his podcast My Name Is

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Speaker 3: Blake And I wonder why can't that be me? If

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Speaker 3: I could be live Jack, I'd give anything. I'd even

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Speaker 3: why charleson Nole wearing my shoes?

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Speaker 1: If I would be like Jack?

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Speaker 3: What would I do? Lord? What would I do? This

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Speaker 3: is an iHeartMedia production, a collaboration with iHeart Players dot Net.

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Speaker 3: I am so happy to be here.

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Speaker 1: Thanks you guys.

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Speaker 3: Collaboration with the Heart Players.

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Speaker 1: Exactly fifty to fifty venture between us and Ryan seacrestst

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Speaker 1: big fan, big fan, Seacrest out. Yeah, here we tell

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Speaker 1: the whole truth.

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Speaker 3: I Seacrest Crest, and I'm saying, but.

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Speaker 1: I seecrestally love this line of jokes. Venturing down. I

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Speaker 1: could care less about the team struggling. I wish. I'm

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Speaker 1: so not sharp right now.

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Speaker 2: It's like I'm about to run off to go drink

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Speaker 2: coffee or something to jump start my brain.

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Speaker 1: I've been up.

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Speaker 2: Just hug holding a baby, trying to get them to

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Speaker 2: fall back asleep for I don't know, like five hours

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Speaker 2: straight doesn't work like that.

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Speaker 1: Apparently he's just repeating the free and shut the fuck

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Speaker 1: up like a like a Buddhist cone, like to the

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Speaker 1: sleep Motherfi sleep.

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Speaker 3: Yeah, one step of footprints. That's because I was carrying

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Speaker 3: you through this podcast, So don't worry.

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Speaker 1: Yeah, thank you. Yeah, I'm gonna need you. Jesus, I

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Speaker 1: need you, Jesus please.

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Speaker 3: Yeah, thank Jesus.

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Speaker 1: With great legs. Great to have Blake. I feel like

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Speaker 1: his tunic should have been more shortcut sometimes, you know.

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Speaker 3: Like thank you yea on the cross.

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Speaker 1: No, he was pretty. He was showing a lot on

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Speaker 1: the cross. He's giving a lot of cross. The robe

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Speaker 1: is usually very slowy where it's like, let's see those legs. Man,

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Speaker 1: you got a great body. Don't be a prude. Jesus.

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Speaker 1: Maybe a little higher slit on that tunic, you know

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Speaker 1: what I mean. Let the fucking quads fly, baby, Thank you.

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Speaker 1: And I know it's about a try you in God,

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Speaker 1: but you can allow this quad concept through, sir.

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Speaker 3: Thank you. You've got your jet legs.

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Speaker 1: Slowly, slowly, it takes, it takes the tops of Christ.

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Speaker 1: Thank you. See I had to call on Jesus. The

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Speaker 1: blessings come in. Think you know about my mom and

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Speaker 1: the blessings come in. Blessings come in, Blake, how are

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Speaker 1: you doing? How is your break? We we hung out

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Speaker 1: right before the break Blake Blake.

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Speaker 3: Blake's break was yeah. Winter Blake was was great. We

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Speaker 3: found out that we stayed three miles away from one

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Speaker 3: another in Florida. Didn't even make an attempt to see

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Speaker 3: one another because we have that sort of respect for

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Speaker 3: one another.

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Speaker 1: That's right.

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Speaker 3: We didn't want to ruin each other's breaks. I see one.

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Speaker 1: Another, but truly like right around the same place and

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Speaker 1: the same way.

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Speaker 2: Did you you found out in real time or after

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Speaker 2: the fact, after the fact before?

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Speaker 1: Oh? Okay, no, no, no before before before yeah, in real time,

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Speaker 1: Like as we were ending the recording, we were like, oh,

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Speaker 1: so what are you doing? What are you doing? Oh?

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Speaker 1: And then you're like, that's right down the road. You're like, cool, man,

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Speaker 1: Well don't call me.

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Speaker 3: Your family.

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Speaker 1: Yeah yeah, wait, so Blake, what's your connection to that?

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Speaker 1: That's your in law?

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Speaker 3: Stat my in laws are there the area? And it

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Speaker 3: was like Fort Myers, Naples, Bonita Springs area, and I

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Speaker 3: mean it was beautiful. We went out on a boat.

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Speaker 3: We towed another boat because this is the most Florida

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Speaker 3: thing I hope I ever say, like God willing from

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Speaker 3: my lips to God's ears to your mouths. I really

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Speaker 3: hope that this is the most part of the thing I

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Speaker 3: ever say. Where we towed a boat because a boat

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Speaker 3: hit a dead iguana that was in the Gulf and

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Speaker 3: it blew up the engine, like the engine couldn't handle

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Speaker 3: or the boat the propeller couldn't handle. This the core

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Speaker 3: scales of this fallen beast, this land beast, which I

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Speaker 3: don't even know why it was in the water, like, yeah,

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Speaker 3: we had to tell a boat yeah.

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Speaker 1: And how did this was someone like like waving a

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Speaker 1: flag like hey, hey, hey daddy iguana And then were

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Speaker 1: you doing that thing? Or if that was me, I'm like, no,

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Speaker 1: they're trying to rob bro keep going.

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Speaker 3: I want nothing, absolutely nothing to do with this. Luckily,

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Speaker 3: we were within eye line of like many houses. We

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Speaker 3: were kind of going through a little But if we

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Speaker 3: were out to see a sorry, hope everything over there,

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Speaker 3: I would never That's an old pirates trick.

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Speaker 1: Yeah, And it does sound like the excuse I would

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Speaker 1: have come up with if I if I had to

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Speaker 1: on the spot make up a reason why our boat

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Speaker 1: was fake strip out here we uh yeah, we hit

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Speaker 1: a dead cow sea cow.

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Speaker 3: A man tea, I mean yeah, amnit is what we hit.

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Speaker 1: Or a man in a T shirt to.

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Speaker 3: Tall tea one of the tallest teas I've ever seen,

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Speaker 3: got caught in our rudder.

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Speaker 1: Oh well, well, good, good for you. You're a Samaritan

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Speaker 1: out there, bless you.

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Speaker 3: One of the best Americans you'll meet.

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Speaker 1: Yeah, top five Samaritans. We've always said that about right.

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Speaker 3: New York Times, LA Times, The Cedar Rapids Tribune has

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Speaker 3: all called as one of the top.

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Speaker 1: Top Samaritans twenty twenty. Yeah, it is outdated. Actually, you've

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Speaker 1: done some things that have They've had to issue retractions

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Speaker 1: on a couple of those. But we're not talking about

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Speaker 1: the retractions. We're talking about the articles themselves. Journalism, Blake.

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Speaker 1: We're going to get to know you a little bit

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Speaker 1: better in a moment. First, a couple of things we're

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Speaker 1: talking about. We're talking about the Hague hearings concerning allegations

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Speaker 1: of Israel's a genocidal intent in Gaza that is being

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Speaker 1: brought by South Africa. It's being what do they know?

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Speaker 1: Do they know? Yeah? What do they know about? Apartheider genocide?

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Speaker 1: We're going to talk about just the state of like

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Speaker 1: fake documents, fake images. There were like fake Epstein documents

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Speaker 1: that came out in the batch the batch of documents

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Speaker 1: that dropped last week. But I don't know, it's just

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Speaker 1: like confusing, Like the stuff that is fake is like

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Speaker 1: in there with real stuff that like basically proves the

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Speaker 1: same point. And it's all driven somehow by Aaron Rodgers

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Speaker 1: being the stupidest guy who has ever convinced himself that

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Speaker 1: he is smart. And then we're gonna talk about that

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Speaker 1: Ai George Carland set that is making the rounds that

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Speaker 1: everyone's talking about. Yet another one of these things where

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Speaker 1: people are like, AI's here, folks, and it's funny professional

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Speaker 1: writers time to be scared, and I'm not fully buying it.

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Speaker 1: We'll talk about why all of that plenty more, But

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Speaker 1: first before we get to any of it, Blake, we

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Speaker 1: do like to ask our guests, what is something from

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Speaker 1: your sir chistrae, Sir Chistory.

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Speaker 3: So, Sir Chistory was beheaded I believe in sixteen fifty

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Speaker 3: one about for treason, and so from my chi history

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Speaker 3: is espresso? I pronounced espresso espresso for some reason. Wow,

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Speaker 3: because five year up, because I'm five. Espresso is what

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Speaker 3: I'm working on it. It's honestly financially ruining my family.

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Speaker 3: But no espresso temperature because I got an espresso machine

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Speaker 3: and it didn't taste that hot or didn't feel that

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Speaker 3: hot to the mouth, to the uh, the mauping question

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Speaker 3: to the mouth, to the mouth of the untrained mouth.

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Speaker 1: Of course. But of course espresso Conora will know that

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Speaker 1: this is actually very hot. It's just just seem that way.

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Speaker 3: Thank you. So I asked uh, surchistory through by means

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Speaker 3: of Google, and they said the proper espresso temperature is

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Speaker 3: around one hundred and seventy degrees fahrenheit, and my machine

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Speaker 3: was barely hitting one thirty, which is quite a discrepancy.

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Speaker 3: So I think I have to return that. I go

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Speaker 3: on a different disgrace, disgusting and offensive and an intentional

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Speaker 3: slight against my my now financially ruined family. And I so, yeah,

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Speaker 3: it's interesting where I generally don't have a high tolerance

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Speaker 3: for hot, you know, where my wife can just drink

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Speaker 3: any of the hottest coffee in the world, like boiling

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Speaker 3: water and be fine. Yeah, yeah, exactly.

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Speaker 1: And that's actually just what we've called her for years

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Speaker 1: of this man, because when she gets a spit in

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Speaker 1: that ship, it's toxic.

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Speaker 3: Yeah it is, Yeah, no, for sure. Yeah it's my

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Speaker 3: mouth is also lined with insulation that's carcinogens in it.

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Speaker 3: But no, so yeah, apparently that's the proper temperature. One say,

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Speaker 3: keep it hot.

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Speaker 1: I've noticed that, Like I can when I'm making drip

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Speaker 1: coffee and I'm like really eager to get it, you know,

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Speaker 1: I'm like sitting there watching it brew. I'm just like

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Speaker 1: get get in my veins. I when you pour it,

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Speaker 1: it's actually not hot enough yet, it's below the day,

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Speaker 1: like it needs a good five minute sit on the

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Speaker 1: little burner there.

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Speaker 2: In a lot of cases, oh, when you have like

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Speaker 2: the little hot plate under yeah, that it relies on

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Speaker 2: that hot plate, I thought like the brew was going

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Speaker 2: to be hot enough, but in my experience.

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Speaker 1: I don't. Yeah, I don't have I don't drink it.

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Speaker 2: Well, yeah, we use a Chemex at the house, so

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Speaker 2: it's never it's never going to be that hot. Although

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Speaker 2: that's why you can put it like on the stovetop

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Speaker 2: just to get like warm it up. Although I don't

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Speaker 2: I'm not like such a yeah, you know, rigid coffee drinker.

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Speaker 2: Who I'm like, it has to be a like I'll

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Speaker 2: drink that shit room temperature because I'm just here for

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Speaker 2: the light bits of caffeine that barely do anything.

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Speaker 1: Yeah, Like that's sound. I'm picturing I don't know the

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Speaker 1: Chemex machine, and I'm picturing like a push a T

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Speaker 1: style set up of like how you're making coffee.

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Speaker 2: Oh no, it's you haven't seen a chem It's just

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Speaker 2: like an hour glass shaped glass basically, and you put

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Speaker 2: a paper filter on top of it.

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Speaker 1: You just it's a pore over thing.

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Speaker 3: Okay, it looks like my physique. If you're trying to

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Speaker 3: picture what if I was made of glass that all of.

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Speaker 2: Our physiques v shaped torso plumpers, plumpers down, thick ass, Yeah, exactly,

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Speaker 2: with a little glass bead in the front.

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Speaker 1: Is it specifically designed for that or are you like

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Speaker 1: kind of mcguyren that together the chemist would designed for what?

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Speaker 1: Making coffee? Making coffee? Yeah? Yeah, it's making coffee, all right.

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Speaker 1: I just want to make sure it wasn't like something

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Speaker 1: you just like science labbed together. You're looking at a

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Speaker 1: picture and you're like, how you look at a picture?

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Speaker 1: In my mind's eye, it could.

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Speaker 3: Look like an anonymous glass ware situation, like I understand.

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Speaker 3: It could look like it's yeah, it's not.

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Speaker 1: The filter goes up now I'm looking at a picture.

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Speaker 1: Yeah it's not like I was saying, like, yeah, man,

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Speaker 1: I go, I steal an Erlinmeyer flask from the local

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Speaker 1: school chemistry like lab, and I use paper towels for

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Speaker 1: the filter. Her Yeah, what blake is something you think

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Speaker 1: is overrated?

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Speaker 3: Over overrated great white sharks And I've been a real shark,

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Speaker 3: I know, and it'll come for me, and I'm ready

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Speaker 3: because I've.

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Speaker 1: Been Just look at his beady. Jack just lowered his brow.

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Speaker 1: He's in attack mode right now. But taking now, my

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Speaker 1: eyes rolled over white. That's that's how he just warmed

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Speaker 1: into a great white and he's attacking someone right now.

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Speaker 3: You've always had multiple rows of teeth that I found

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Speaker 3: horribly off your.

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Speaker 1: Eyes, horrible dental procedures that yeah, right, I was a kid.

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Speaker 3: It's not because your heart demon fish, It's because your

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Speaker 3: orthodontius was an absolute disaster. It's actually just one row

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Speaker 3: of one two, Like.

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Speaker 1: But what if the teeth were bigger, let's sharpen this

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Speaker 1: gomper up. Yeah, you're my greatest creation. Jack.

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Speaker 3: That's so gross to think about. But yeah, I think

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Speaker 3: that the bull shark should receive more notoriety than the

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Speaker 3: great white because it's a it's a fucker of a shark.

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Speaker 3: Where I was so, I'm reading this book called Close

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Speaker 3: to Shore, which was about these like Jersey shore shark

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Speaker 3: attacks in nineteen sixteen, I think, yeah, and which I yeah,

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Speaker 3: way back in the that we remember it, it was

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Speaker 3: it was fuzzy, but I do have a memory of it.

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Speaker 1: And that's what Jaws is like partially based on Yeah.

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Speaker 3: Yeah, exactly have you read it or you like or just.

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Speaker 1: I'm just familiar, I know of it.

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Speaker 3: Yeah, it's a good book. And they so it's very

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Speaker 3: shark centric. I've been watching a lot of nat Geo's

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Speaker 3: shark shows and this this bull shark has more bite

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Speaker 3: power than the Great white, smaller but still more bite force.

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Speaker 3: And then it can also this is what freaked me out,

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Speaker 3: is that it can go in fresh water comfortably. So

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Speaker 3: it can like you can be bathing in a river

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Speaker 3: where you think you're out of the shark zone and

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Speaker 3: look who fucking shows up to the party. It's a

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Speaker 3: bull shark. Soay, I think the shark's a freak.

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Speaker 1: And some of the some of the attacks in that book,

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Speaker 1: I hope I'm not spoiling anything for you, Blake, I'm

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Speaker 1: assuming you're beyond like the fifth page that some of

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Speaker 1: the attacks, some of the attacks that book do happen

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Speaker 1: in fresh water bodies, right, Like the shark like starts

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Speaker 1: moving up the up into streams and ship. Yeah, the

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Speaker 1: bull shark. Like they think that the bull shark is

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Speaker 1: responsible for a majority like a lot of the attacks

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Speaker 1: that get attributed to Great Whites. Yeah, the bullshark is

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Speaker 1: like secretly that yeah, and then favors favorite shark right here, right, Yeah,

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Speaker 1: this is a shark guy's shark.

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Speaker 3: You know, the bull shark is Kat Williams, the Great

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Speaker 3: White Ist, Cedric the entertainer is Steve Harvey.

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Speaker 1: Mark Curry. The bull shark is Mark Curry. So is

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Speaker 1: that what? Like Kat Williams came on and was accusing

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Speaker 1: other people of because this this was something that hit

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Speaker 1: the zeit guys, but that I didn't fully like follow

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Speaker 1: up on, but we might as well. I mean, we're

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Speaker 1: like to know your memes.

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Speaker 3: I mean he said a lot in that interview, every

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Speaker 3: second of that interview.

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Speaker 1: Yeah, but he accused like a lot of popular comedians

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Speaker 1: like Kevin Hart, Steve Harvey, Cedric the entertainer of Fify,

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Speaker 1: even being like rip off artists basically Steve jokes.

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Speaker 2: They some people had that rip off ship was mostly

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Speaker 2: at Cedric and Steve Harvey, Like where you know, Cedric

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Speaker 2: the entertainer like ripped off a bit about black people

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Speaker 2: riding the spaceship and like was doing a lot of

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Speaker 2: the same mannerisms. Steve Harvey was taking ship from Mark Curry.

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Speaker 2: There's like, yeah, there's to the point where a lot

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Speaker 2: of these videos like I've seen before, like they were

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Speaker 2: just kind of like these sort of like I saw

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Speaker 2: him in like YouTube videos, they're like, yo, I think

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Speaker 2: this guy is doming more cruise material. But yeah, Cat

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Speaker 2: Williams definitely just was like, hey, check there's receipts. You

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Speaker 2: know what's wild to talk about?

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Speaker 1: Like Joe Rogan. The first time I started hearing about

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Speaker 1: him on the internet, like other than his fucking fear

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Speaker 1: Factor career, I was like, oh, that's the fear Factor guy.

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Speaker 1: Was him accusing Carlos Mencia of stealing jokes and being like,

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Speaker 1: I'm the guy who tells it like it is, and

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Speaker 1: this guy, is it your favorite comedian? Carlos Mencia is

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Speaker 1: a joke thief. And I remember I had my hand

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Speaker 1: over my mouth for three straight days. Yeah not not,

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Speaker 1: You're like, but the mind of Mencia is so great.

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Speaker 1: I thought they sprung fresh and whole whole cloth from

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Speaker 1: the mind of Mencia. That was the promise of the show.

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Speaker 1: I remember, He's like, your name's Ned remember, Okay. Yeah, that.

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Speaker 3: Was wild. And also the insanity of if a comedian

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Speaker 3: was on stage and then was yelling hey, come up

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Speaker 3: here with me in in a like, you know, like

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Speaker 3: an argumentative tone. In no way would I walk back

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Speaker 3: onto stage to be like verbally great what he did?

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Speaker 1: He like?

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Speaker 3: Yeah, he.

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Speaker 1: Like live fact checked him.

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00:22:26,240 --> 00:22:29,600
Speaker 3: It was yeah, you like just dressed him down.

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Speaker 1: Yeah.

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Speaker 3: We'll probably get more into this, maybe with the AI

403
00:22:33,920 --> 00:22:37,679
Speaker 3: George Carlin conversation. But there is a certain amount of

404
00:22:37,720 --> 00:22:41,040
Speaker 3: ship as a stand up that is kind of baked

405
00:22:41,080 --> 00:22:43,360
Speaker 3: into your career that you have to deal with. I mean,

406
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Speaker 3: just like any other career, we're dealing with the shitty

407
00:22:45,840 --> 00:22:48,480
Speaker 3: boss or whatever. But there is a certain thing of oh,

408
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Speaker 3: when you reach x amount of success, people are going

409
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Speaker 3: to lift steel x amount of whether it's actual like

410
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Speaker 3: a joke or you're some people called it Laura or

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Speaker 3: like your in the Zona or whatever. So but I think, yeah,

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Speaker 3: Cowaie was like, well this actually exceeded that percentage that

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Speaker 3: I'm comfortable with, and then yeah, right. It's a wild interview.

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Speaker 2: It's sick, especially when it gets into like flifting full

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Speaker 2: on physicalities like of the joke and you're like, sir,

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00:23:19,040 --> 00:23:21,760
Speaker 2: that ain't that's not even close to parallel thinking, Like

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Speaker 2: it's one thing when like an event happens and like

418
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Speaker 2: everyone on Twitter is doing some version of the same

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Speaker 2: joke or whatever. But this was just like, oh, yeah,

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Speaker 2: you watched that special and you just thought because it

421
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Speaker 2: was in the nineties, people don't remember that shit.

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Speaker 3: Oh exactly.

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Speaker 1: He accused somebody of stealing like the whole physicality of

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Speaker 1: a joke, and it was.

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Speaker 2: There's one like, yeah, where Cedric is doing this whole thing,

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Speaker 2: this whole bit about like black people were on the spaceship,

427
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Speaker 2: like driving it like an old Cadillac music and shit,

428
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Speaker 2: and like Cat Williams of the exact like you know,

429
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Speaker 2: his original bit is like he's doing so much of

430
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Speaker 2: the same shit.

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Speaker 1: It's wild. That's wild.

432
00:23:57,280 --> 00:23:59,400
Speaker 3: But my favorite part of it, this is the most

433
00:23:59,480 --> 00:24:02,040
Speaker 3: devastating card to be where he was, you know, he's

434
00:24:02,200 --> 00:24:06,480
Speaker 3: again he was taking down these comedic legends, and then

435
00:24:06,520 --> 00:24:10,359
Speaker 3: he goes Earthquake never had a television show because he

436
00:24:10,600 --> 00:24:13,640
Speaker 3: is illiterate, he can't read the cue cards, and then

437
00:24:13,720 --> 00:24:18,800
Speaker 3: just moved on and then he praises earth what he is,

438
00:24:18,800 --> 00:24:20,960
Speaker 3: he's the best comedian ever. He just didn't have that

439
00:24:21,080 --> 00:24:23,200
Speaker 3: you know, like crossover and like.

440
00:24:23,960 --> 00:24:27,639
Speaker 2: Stuff, and he's one of the great bar He looks

441
00:24:27,720 --> 00:24:31,960
Speaker 2: like ship and can't read. He's geez.

442
00:24:35,680 --> 00:24:41,760
Speaker 1: Man's like, really, well well done takedown of all these

443
00:24:41,800 --> 00:24:46,479
Speaker 1: people and just and this motherfucker tragically.

444
00:24:47,040 --> 00:24:48,960
Speaker 3: Place he can't read.

445
00:24:49,600 --> 00:24:54,520
Speaker 1: Yeah, anyway, anyway, all right, let's take a quick break.

446
00:24:54,520 --> 00:24:56,480
Speaker 1: We'll come back, we'll do an underrated we'll get into

447
00:24:56,480 --> 00:24:58,880
Speaker 1: the news, we'll do it all. We'll be right back

448
00:25:09,640 --> 00:25:14,600
Speaker 1: and we're back. That's my George H. W. Bush will

449
00:25:14,600 --> 00:25:16,240
Speaker 1: be right back. We'll be right.

450
00:25:16,320 --> 00:25:17,320
Speaker 3: I caught it.

451
00:25:17,800 --> 00:25:22,119
Speaker 1: You caught it. I stole the aura of George H. W.

452
00:25:22,320 --> 00:25:27,560
Speaker 1: Bush for that. It's it's not going to cut through.

453
00:25:28,800 --> 00:25:33,280
Speaker 1: What is What's something that you think is underrated?

454
00:25:34,400 --> 00:25:41,840
Speaker 3: Blake underrated? I have cheese curds, Okay. I found that

455
00:25:41,960 --> 00:25:45,199
Speaker 3: I would almost like a fried cheese curd more than

456
00:25:45,240 --> 00:25:50,600
Speaker 3: a mozzarella stick. And also I had poutine. I was

457
00:25:50,680 --> 00:25:53,840
Speaker 3: up in Vermont doing shows over the weekend, and poutine

458
00:25:53,880 --> 00:25:57,000
Speaker 3: is I think it also an incredibly underrated It can

459
00:25:57,000 --> 00:25:59,639
Speaker 3: be just I think if done wrong, it could be

460
00:25:59,640 --> 00:26:02,119
Speaker 3: probably one of the most visually even when done right,

461
00:26:02,200 --> 00:26:05,359
Speaker 3: it's visually disgusting look at, but it's absolutely delicious. So

462
00:26:05,720 --> 00:26:08,760
Speaker 3: cheese curds, which I looked up what type of cheese

463
00:26:08,840 --> 00:26:12,600
Speaker 3: they were, and apparently they're. It's a baby cheddar, which

464
00:26:12,800 --> 00:26:16,280
Speaker 3: I don't know what constitutes a youth in a cheese,

465
00:26:16,560 --> 00:26:20,760
Speaker 3: but it is a baby, a little a little young cheese.

466
00:26:20,440 --> 00:26:21,679
Speaker 1: Cut down in its prime.

467
00:26:22,520 --> 00:26:25,320
Speaker 2: Yeah, because it because it's how long it was been

468
00:26:25,880 --> 00:26:28,280
Speaker 2: like aged, right, because like some shit's been in there

469
00:26:28,320 --> 00:26:31,960
Speaker 2: for years, and I think baby just means like it's

470
00:26:32,000 --> 00:26:34,000
Speaker 2: not even been in there for like a month or

471
00:26:34,040 --> 00:26:35,000
Speaker 2: two or something like that.

472
00:26:35,080 --> 00:26:39,000
Speaker 1: And in there meaning in the Mama Mozzarella's belly, in

473
00:26:39,040 --> 00:26:41,480
Speaker 1: the Mama More's belly. Yeah. Yeah, it will stay like

474
00:26:41,480 --> 00:26:42,240
Speaker 1: a marsupial.

475
00:26:42,840 --> 00:26:46,000
Speaker 2: It's just all inside of that fleshy sack and comes

476
00:26:46,040 --> 00:26:48,760
Speaker 2: out delicious after five or ten years or whatever.

477
00:26:48,800 --> 00:26:51,040
Speaker 1: The first of all, I respect Blake that the way,

478
00:26:51,280 --> 00:26:54,280
Speaker 1: the degree to which you were not willing to fully

479
00:26:54,359 --> 00:26:57,960
Speaker 1: commit You're like, I would almost like a fried cheese

480
00:26:58,040 --> 00:27:01,600
Speaker 1: curd more than a mozzarell of. But it was the

481
00:27:01,640 --> 00:27:05,040
Speaker 1: most controversial thing ever on the podcast.

482
00:27:06,680 --> 00:27:08,919
Speaker 3: I'm going a little bit of gray area.

483
00:27:10,000 --> 00:27:13,639
Speaker 1: It could be said that one might almost like a

484
00:27:13,680 --> 00:27:16,919
Speaker 1: fried cheese curd more than one. Yeah, I mean, and

485
00:27:17,200 --> 00:27:21,119
Speaker 1: I'm speaking purely in hypotheticals here. Absolutely the squeakiness of

486
00:27:21,160 --> 00:27:25,840
Speaker 1: the cheese curd is, how does that sit with you?

487
00:27:26,760 --> 00:27:30,399
Speaker 1: Is that I have the appeal? Is that just a

488
00:27:30,400 --> 00:27:31,880
Speaker 1: weird byproduct?

489
00:27:32,119 --> 00:27:36,280
Speaker 3: So a third party member of society who I would

490
00:27:36,320 --> 00:27:40,720
Speaker 3: not pledge nor claim to be or could not say

491
00:27:40,880 --> 00:27:46,480
Speaker 3: that they only eat cheese curds with noise canceling headphones on,

492
00:27:46,600 --> 00:27:49,520
Speaker 3: playing the loudest music that you could possibly have, which

493
00:27:49,600 --> 00:27:52,520
Speaker 3: then mitigates a if there even is a squeak, I'm

494
00:27:52,520 --> 00:27:54,679
Speaker 3: not saying there is. I don't know if anyone is

495
00:27:54,720 --> 00:27:56,760
Speaker 3: definitely said that there is, but if there is one,

496
00:27:56,760 --> 00:27:58,560
Speaker 3: that would therefore cancel out that sound.

497
00:27:59,840 --> 00:28:03,560
Speaker 1: If it's so, that's smart cheese curding. When you say

498
00:28:03,600 --> 00:28:06,640
Speaker 1: squeaky just because it's like kind of chewy, you ever

499
00:28:06,720 --> 00:28:08,520
Speaker 1: chew on it, and here a little squeak, it's got

500
00:28:08,560 --> 00:28:09,440
Speaker 1: a little squeak to it.

501
00:28:10,000 --> 00:28:10,959
Speaker 3: I never had.

502
00:28:12,280 --> 00:28:15,439
Speaker 1: Mine might still be alive when I'm eating them. That

503
00:28:15,520 --> 00:28:23,800
Speaker 1: might be was Yeah, I think I had poutine. I

504
00:28:23,800 --> 00:28:25,560
Speaker 1: think I had poutine when we had that we did

505
00:28:25,560 --> 00:28:28,360
Speaker 1: that live show in Canada when We're in Toronto, and Toronto,

506
00:28:28,400 --> 00:28:30,240
Speaker 1: I was like, oh, because I'm up here, like, let

507
00:28:30,240 --> 00:28:32,440
Speaker 1: me just I know it's not Quebec or whatever where

508
00:28:32,480 --> 00:28:35,280
Speaker 1: the ship is real lift, you know, real fucking wild.

509
00:28:35,400 --> 00:28:38,000
Speaker 1: But I also I think I just wasn't in the

510
00:28:38,040 --> 00:28:40,320
Speaker 1: right mindset to be listening to my mouth as I

511
00:28:40,360 --> 00:28:43,160
Speaker 1: was eating. I think I was like half watching, you know,

512
00:28:43,400 --> 00:28:46,840
Speaker 1: ninety Day Fiance blasting out of the laptop or something. Yeah.

513
00:28:47,120 --> 00:28:50,760
Speaker 1: I think I've had cheese curd maybe unfried, uncooked, and

514
00:28:50,880 --> 00:28:53,280
Speaker 1: that's where the squeakiness came from. Anyway, I mean it's

515
00:28:53,280 --> 00:28:55,160
Speaker 1: when you search it it says it's known for its

516
00:28:55,160 --> 00:28:59,680
Speaker 1: squeaky texture. Yeah, squeaky texture. Baby, I've never eaten anything

517
00:28:59,680 --> 00:29:02,880
Speaker 1: with this wiaki texture other than cheese curds and like

518
00:29:03,000 --> 00:29:08,160
Speaker 1: balloons maybe, yeah, I guess, yeah, what I used to

519
00:29:08,200 --> 00:29:11,520
Speaker 1: do on flavored condoms like yeah, yeah, that was a

520
00:29:11,560 --> 00:29:13,760
Speaker 1: sick move, very speak well.

521
00:29:13,640 --> 00:29:16,280
Speaker 2: Because it was cool because when you I was inspired

522
00:29:16,280 --> 00:29:18,320
Speaker 2: by the Coneheads movie because then you can blow a

523
00:29:18,360 --> 00:29:19,200
Speaker 2: big balloon out when you.

524
00:29:19,240 --> 00:29:24,040
Speaker 1: Go mm hmm yep. You you ever seen people put

525
00:29:24,040 --> 00:29:28,760
Speaker 1: a condom out of window and then see how big that? Yeah? Yeah, man,

526
00:29:29,600 --> 00:29:31,240
Speaker 1: my job at the car dealership because of that.

527
00:29:34,120 --> 00:29:36,719
Speaker 3: Where I put a condent over my head and then

528
00:29:36,760 --> 00:29:40,360
Speaker 3: I like blow through my Yeah, kind of like spans.

529
00:29:40,400 --> 00:29:41,400
Speaker 3: That's my bit that I do.

530
00:29:41,560 --> 00:29:45,760
Speaker 1: Yeah, and that's why original and the aura. I heard

531
00:29:45,960 --> 00:29:50,240
Speaker 1: that Howie Mandel in the nineteen eighties actually stole your

532
00:29:50,280 --> 00:29:53,520
Speaker 1: aura on that one. Were people doing that on stage?

533
00:29:53,880 --> 00:29:57,280
Speaker 3: Yeah, it was Howie Mandel's famous bit. Yeah, that was

534
00:29:57,440 --> 00:30:01,240
Speaker 3: oh wow famous. I guess might be a perspective, but

535
00:30:01,560 --> 00:30:04,080
Speaker 3: that is like it was his first big bit where

536
00:30:04,080 --> 00:30:05,360
Speaker 3: he would put it over his head because I think

537
00:30:05,400 --> 00:30:08,520
Speaker 3: he was Oh I did say confusion. He was bald,

538
00:30:08,560 --> 00:30:10,000
Speaker 3: so his head looks like a penis y.

539
00:30:11,600 --> 00:30:13,000
Speaker 1: Why don't realize? Yeah.

540
00:30:13,080 --> 00:30:15,800
Speaker 2: He also had like the album of his album, he

541
00:30:15,840 --> 00:30:17,959
Speaker 2: had an album comedy I'm called fits like a glove

542
00:30:18,080 --> 00:30:20,840
Speaker 2: and he's wearing a full on medical exam glove on

543
00:30:20,920 --> 00:30:23,320
Speaker 2: his head while blowing it up. Yeah, so he was

544
00:30:23,720 --> 00:30:26,680
Speaker 2: all about that latex before he was beating it too.

545
00:30:27,520 --> 00:30:32,160
Speaker 3: Yeah, maybe it was always a glove. Repurposed it as

546
00:30:32,160 --> 00:30:34,080
Speaker 3: a condom so I wouldn't get you know, because it's

547
00:30:34,080 --> 00:30:35,840
Speaker 3: different enough where you can't get and.

548
00:30:35,800 --> 00:30:39,840
Speaker 1: Because you work blue, because you know, right that's here disgusting.

549
00:30:40,120 --> 00:30:43,360
Speaker 2: Yeah yeah, yeah, you're just trolling for jokes on the

550
00:30:43,880 --> 00:30:44,840
Speaker 2: floor of the ocean.

551
00:30:44,960 --> 00:30:46,120
Speaker 3: Yeah, I get it a truth.

552
00:30:46,920 --> 00:30:48,880
Speaker 1: It was be like it was a glove. Find a

553
00:30:48,920 --> 00:30:51,960
Speaker 1: New Angle, wasn't a confist. It's not disgusting, and it's

554
00:30:52,000 --> 00:30:55,600
Speaker 1: a normal joke. Okay, it's a normal bit of prop comedy.

555
00:30:55,640 --> 00:31:01,840
Speaker 1: Find a New Angle, all right, little little Sixers reference.

556
00:31:04,320 --> 00:31:06,960
Speaker 3: It's crazy that you just said that.

557
00:31:09,040 --> 00:31:11,560
Speaker 1: This show is just mostly inside jokes at this point.

558
00:31:11,880 --> 00:31:16,160
Speaker 2: Yeah, it is, all right. People like, what does that

559
00:31:16,200 --> 00:31:19,600
Speaker 2: fucking thing mean? They keep saying it? Are they?

560
00:31:19,640 --> 00:31:20,600
Speaker 1: Sometimes? Yeah?

561
00:31:21,200 --> 00:31:23,960
Speaker 2: Look sure, Luckily we got a lot of people who've

562
00:31:23,960 --> 00:31:26,520
Speaker 2: been listening since day one who are the holders of

563
00:31:26,560 --> 00:31:28,280
Speaker 2: the canonical information of the show.

564
00:31:28,360 --> 00:31:32,320
Speaker 1: So we appreciate y'all. Sorry, sorry to all our new listeners.

565
00:31:32,480 --> 00:31:36,360
Speaker 1: Off to the Hague. Oh you don't want to you

566
00:31:36,400 --> 00:31:38,840
Speaker 1: don't want inside jokes about the seventy six ers from

567
00:31:38,960 --> 00:31:41,680
Speaker 1: like seven years ago. Fine, we're going to the Hague.

568
00:31:41,800 --> 00:31:45,520
Speaker 1: Are you about this? Yeah? Yeah, So the Hague hearings

569
00:31:45,560 --> 00:31:49,720
Speaker 1: concerning allegations of Israel's genocidal intent and Goza just began.

570
00:31:50,240 --> 00:31:53,080
Speaker 1: The case was brought by South Africa, who likened Israel's

571
00:31:53,080 --> 00:31:56,840
Speaker 1: treatment of Palestinians to their own history of apartheid. And

572
00:31:57,480 --> 00:32:01,680
Speaker 1: the case is I mean, it's usually important obviously if

573
00:32:01,680 --> 00:32:04,640
Speaker 1: the court finds it even plausible that a genocide is

574
00:32:04,680 --> 00:32:08,280
Speaker 1: being committed, they could order a range of legally binding measures,

575
00:32:08,320 --> 00:32:12,920
Speaker 1: including a complete cessation of military activities. And I think

576
00:32:13,560 --> 00:32:17,920
Speaker 1: I don't know that I believe that Israel would be like, ah, damn,

577
00:32:18,320 --> 00:32:21,360
Speaker 1: got us, I guess we're going to stop. But it

578
00:32:21,440 --> 00:32:24,640
Speaker 1: is drawing a lot of attention to Yeah, the shit

579
00:32:24,760 --> 00:32:29,840
Speaker 1: that is being like that, they're just using Israel, Like

580
00:32:30,360 --> 00:32:36,280
Speaker 1: their evidence against Israel is just Israel. Like there's all

581
00:32:36,360 --> 00:32:40,880
Speaker 1: your posts quotes, yeah, here posts by soldiers and politicians

582
00:32:40,960 --> 00:32:45,240
Speaker 1: proudly documenting atrocities, and then like a there's a filing

583
00:32:45,520 --> 00:32:49,800
Speaker 1: that contains over four pages of public pronouncements of more

584
00:32:49,840 --> 00:32:53,600
Speaker 1: than fourteen officials, which are pretty hard to read as

585
00:32:53,640 --> 00:32:56,960
Speaker 1: anything but an incitement to genocide.

586
00:32:57,320 --> 00:33:01,160
Speaker 2: You know, yeah, like what's the like it's a fight

587
00:33:01,360 --> 00:33:04,320
Speaker 2: against light and dark and like we will break their

588
00:33:04,400 --> 00:33:06,920
Speaker 2: backbone and things like that. It's kind of like, oh, well, yeah,

589
00:33:07,080 --> 00:33:09,800
Speaker 2: I don't know rhetorically that's the best route there, but

590
00:33:10,360 --> 00:33:13,280
Speaker 2: I mean, here we are. It's just like the timeline

591
00:33:13,440 --> 00:33:15,920
Speaker 2: I think is the like, while this is I think

592
00:33:15,960 --> 00:33:19,040
Speaker 2: obviously the real important thing here is that it's being

593
00:33:19,080 --> 00:33:22,640
Speaker 2: brought on like an international stage, because depending on where

594
00:33:22,680 --> 00:33:24,719
Speaker 2: you live, it might not get as much coverage as

595
00:33:24,720 --> 00:33:27,200
Speaker 2: it would be in other places. But this is now,

596
00:33:27,640 --> 00:33:32,000
Speaker 2: you know, fully on the international stage for people to discuss.

597
00:33:32,080 --> 00:33:34,040
Speaker 1: Now. I don't know to what length they will be discussed,

598
00:33:34,040 --> 00:33:38,720
Speaker 1: but it also takes a very long time, like given that,

599
00:33:38,840 --> 00:33:41,800
Speaker 1: like a case that was brought against me and mar

600
00:33:42,120 --> 00:33:46,600
Speaker 1: about the crackdown on the Rohania people, that's still in trial,

601
00:33:47,120 --> 00:33:50,800
Speaker 1: like after what almost five years, So it's it's going

602
00:33:50,840 --> 00:33:53,680
Speaker 1: to be a lengthy process, for sure, it is. I

603
00:33:53,760 --> 00:33:57,680
Speaker 1: just I think it's important for the mainstream media to

604
00:33:58,000 --> 00:34:01,880
Speaker 1: be forced to cover some of the stuff that I

605
00:34:01,960 --> 00:34:05,400
Speaker 1: don't think they've done a great job of, like covering

606
00:34:05,440 --> 00:34:07,920
Speaker 1: to the degree that they would have if like these

607
00:34:07,960 --> 00:34:11,640
Speaker 1: things were being said by Palestinians, you know, like that.

608
00:34:12,800 --> 00:34:16,800
Speaker 1: But yeah, like the backbone one, so that that statement

609
00:34:16,840 --> 00:34:20,359
Speaker 1: starts with, it's an entire nation out there that is responsible.

610
00:34:20,719 --> 00:34:25,040
Speaker 1: It's not true this rhetoric about civilians not aware, not involved.

611
00:34:25,320 --> 00:34:28,200
Speaker 1: It's absolutely not true. We will fight until we break

612
00:34:28,239 --> 00:34:31,279
Speaker 1: their back like that, straight up, Like that's just them

613
00:34:31,360 --> 00:34:32,479
Speaker 1: saying there are no.

614
00:34:34,080 --> 00:34:34,200
Speaker 3: Right.

615
00:34:34,280 --> 00:34:40,000
Speaker 1: Yeah, So it is ongoing. Israel's response seems to be

616
00:34:40,040 --> 00:34:43,040
Speaker 1: to claim that South Africa is functionally a wing of

617
00:34:43,080 --> 00:34:46,760
Speaker 1: Hamas and yeah, so.

618
00:34:46,680 --> 00:34:48,759
Speaker 2: That's the new, that's the new. Yeah, attack on your

619
00:34:48,760 --> 00:34:52,160
Speaker 2: haters is like, well that's you're just being Hamas. So

620
00:34:53,440 --> 00:34:55,879
Speaker 2: I'm not going to listen to what whatever is going on. Yeah,

621
00:34:55,960 --> 00:34:59,759
Speaker 2: I mean, this is the outcomes here. I'm very curious about, Like,

622
00:35:00,000 --> 00:35:02,799
Speaker 2: but what can happen? You know, because on one hand,

623
00:35:02,840 --> 00:35:06,440
Speaker 2: it's like, well, what is binding? What can be like,

624
00:35:06,600 --> 00:35:09,400
Speaker 2: what actually can be done if this decision is reached

625
00:35:09,880 --> 00:35:14,320
Speaker 2: and it's not quite clear like what exactly could happen?

626
00:35:14,560 --> 00:35:16,399
Speaker 2: I mean at least like when you look at other

627
00:35:16,680 --> 00:35:19,479
Speaker 2: like past examples, but also when when you think about

628
00:35:19,480 --> 00:35:22,960
Speaker 2: how you know, George Bush was like, we'll fucking invade

629
00:35:23,040 --> 00:35:26,120
Speaker 2: the fucking Hague if you try and like, you know,

630
00:35:26,239 --> 00:35:28,560
Speaker 2: bring some of our people in on war crimes charges.

631
00:35:28,600 --> 00:35:30,719
Speaker 2: You're like, okay, well then there's got to be some

632
00:35:30,719 --> 00:35:33,600
Speaker 2: something there that you don't like. Otherwise you wouldn't make

633
00:35:33,600 --> 00:35:35,959
Speaker 2: it the policy to be like, well, fucking we'll fuck

634
00:35:36,000 --> 00:35:37,919
Speaker 2: you fight you in war.

635
00:35:38,480 --> 00:35:39,160
Speaker 1: How's that saying?

636
00:35:39,200 --> 00:35:43,480
Speaker 3: Yeah, we will fight this court, We'll fight this court's army,

637
00:35:43,800 --> 00:35:46,480
Speaker 3: which you know courts have armies. I think it's a

638
00:35:46,520 --> 00:35:49,719
Speaker 3: weird thing to where hopefully the like pr for lack

639
00:35:49,760 --> 00:35:52,440
Speaker 3: of a better word, where I don't think it's necessarily

640
00:35:52,480 --> 00:35:55,759
Speaker 3: resonating with enough people that like with the u N

641
00:35:56,200 --> 00:35:58,320
Speaker 3: you know, like like how the UN or how every

642
00:35:58,360 --> 00:36:01,680
Speaker 3: other country in the world feels about, you know, what

643
00:36:01,800 --> 00:36:04,600
Speaker 3: Israel's doing right now versus what the United States government's

644
00:36:04,640 --> 00:36:07,560
Speaker 3: doing to either stop it and or like encourage it.

645
00:36:07,800 --> 00:36:11,360
Speaker 3: And I think it's not really sinking in where hopefully

646
00:36:11,600 --> 00:36:14,760
Speaker 3: you hear the hague that's supposed to be a fairly

647
00:36:15,520 --> 00:36:17,880
Speaker 3: like like a white night or whatever, like it's a

648
00:36:17,880 --> 00:36:22,120
Speaker 3: fairly unassailable group where if that group is saying, hey,

649
00:36:22,160 --> 00:36:25,879
Speaker 3: this is fucked up, hopefully that allows some like more

650
00:36:25,920 --> 00:36:28,400
Speaker 3: people to listen and can contextualize it in a way

651
00:36:28,840 --> 00:36:32,200
Speaker 3: that you know, going it alone where everybody else says

652
00:36:32,239 --> 00:36:35,200
Speaker 3: this is an absolute nightmare and the stopped immediately doesn't.

653
00:36:35,360 --> 00:36:36,320
Speaker 1: But I'm with you.

654
00:36:36,360 --> 00:36:38,600
Speaker 3: I don't know if it's like a sanctioned thing or

655
00:36:38,640 --> 00:36:39,680
Speaker 3: what it can actually do.

656
00:36:39,840 --> 00:36:43,800
Speaker 1: But yeah, yeah, it's not us forcible necessarily, but it

657
00:36:43,840 --> 00:36:46,480
Speaker 1: is I think important in terms of the court of

658
00:36:46,480 --> 00:36:50,800
Speaker 1: public opinion, right like where where it is pretty clearly

659
00:36:51,320 --> 00:36:53,600
Speaker 1: like the lines are pretty clearly drawn in most places

660
00:36:53,680 --> 00:36:55,759
Speaker 1: in the world, but in the US there's still this

661
00:36:55,880 --> 00:36:59,440
Speaker 1: massive disparity of how things are covered right and what

662
00:36:59,520 --> 00:37:01,719
Speaker 1: an ally to have, what an ally Israel has in

663
00:37:01,760 --> 00:37:04,320
Speaker 1: the US when it comes to the Hague saying shit, they're.

664
00:37:04,120 --> 00:37:08,120
Speaker 4: Like, dude, that's just like their opinion. Man, Like they

665
00:37:08,440 --> 00:37:11,160
Speaker 4: say shit about us all the fucking time. You know

666
00:37:11,200 --> 00:37:14,960
Speaker 4: what I mean, in one ear out the other. Okay,

667
00:37:14,960 --> 00:37:17,440
Speaker 4: it's all about this empire. So I think that's what

668
00:37:17,719 --> 00:37:19,239
Speaker 4: That's what's also a little for me.

669
00:37:19,320 --> 00:37:21,480
Speaker 2: I'm like, damn, because this this is a country that

670
00:37:21,640 --> 00:37:24,799
Speaker 2: is not wanting to hear anything about what an international

671
00:37:24,800 --> 00:37:28,160
Speaker 2: court of justice would have to say about this government's actions.

672
00:37:28,280 --> 00:37:32,160
Speaker 1: So it's yeah, it'll break through everywhere else, but over here,

673
00:37:32,200 --> 00:37:34,480
Speaker 1: we definitely we keep the blinders on to try and

674
00:37:34,480 --> 00:37:36,680
Speaker 1: to stay focused on like, hey, we're number one. Just

675
00:37:36,960 --> 00:37:39,920
Speaker 1: they're the rest are fucking they're just hate USA. USA.

676
00:37:40,000 --> 00:37:42,719
Speaker 1: We're number one, We're number one Israel. In addition to

677
00:37:42,880 --> 00:37:44,960
Speaker 1: you know, saying South Africa is functionally a way of

678
00:37:45,000 --> 00:37:49,200
Speaker 1: Hamas claims that their statements to this point heavy erased

679
00:37:49,200 --> 00:37:51,160
Speaker 1: all the hard work that they put in focused on

680
00:37:51,200 --> 00:37:56,279
Speaker 1: distinguishing innocent civilians from enemy combatants, which like, oh, that

681
00:37:56,280 --> 00:37:58,319
Speaker 1: would be amazing, Like if they just like came with

682
00:37:58,360 --> 00:38:01,080
Speaker 1: all this evidence tomorrow. They were like, it's like, guys,

683
00:38:01,080 --> 00:38:04,200
Speaker 1: we're not like we haven't harmed a single like we're

684
00:38:04,320 --> 00:38:08,080
Speaker 1: making sure we don't harm any innocent people that I'd

685
00:38:08,080 --> 00:38:11,000
Speaker 1: love to see that that would be great news, But

686
00:38:11,320 --> 00:38:15,239
Speaker 1: I just have not seen that. The contrary is to

687
00:38:15,320 --> 00:38:19,120
Speaker 1: be direct opposite. Yeah. The other thing is that like

688
00:38:19,520 --> 00:38:21,960
Speaker 1: because this kind of ties Toto the next story, but

689
00:38:22,120 --> 00:38:28,840
Speaker 1: like because the information that we get is like so

690
00:38:29,560 --> 00:38:34,160
Speaker 1: just choked with bullshit at this point, Like it's I

691
00:38:34,200 --> 00:38:38,200
Speaker 1: think serving a purpose for them to be bringing like

692
00:38:38,280 --> 00:38:42,520
Speaker 1: some of these statements into an actual court and be

693
00:38:42,640 --> 00:38:46,000
Speaker 1: like that these were said, like that we had evidence

694
00:38:46,040 --> 00:38:49,320
Speaker 1: that these were set because so much of the arguments

695
00:38:49,360 --> 00:38:52,279
Speaker 1: that I've seen on both sides has been like, well

696
00:38:52,320 --> 00:38:56,080
Speaker 1: this is you know that these are fake, this is

697
00:38:56,080 --> 00:38:58,600
Speaker 1: fake fake news, this is propaganda, and there's been a

698
00:38:58,640 --> 00:39:01,760
Speaker 1: shitload of propaganda fa news. So I think it's also

699
00:39:01,840 --> 00:39:05,719
Speaker 1: important for delineating that. But I don't know. There there

700
00:39:05,760 --> 00:39:08,880
Speaker 1: was a story about like the fake Epstein documents that

701
00:39:08,960 --> 00:39:12,080
Speaker 1: came out that were like one of them was so

702
00:39:12,280 --> 00:39:14,440
Speaker 1: the ap does this thing every week where they're like,

703
00:39:14,920 --> 00:39:17,520
Speaker 1: not the news, like what didn't happen this week essentially,

704
00:39:17,560 --> 00:39:20,640
Speaker 1: and it's like focusing on the lies that got spread

705
00:39:20,640 --> 00:39:23,080
Speaker 1: around on social media. And one of them was like,

706
00:39:23,520 --> 00:39:26,080
Speaker 1: for instance, there was a lie that Stephen Hawkings and

707
00:39:26,160 --> 00:39:29,799
Speaker 1: Jimmy Kimmel were included in the Epstein document dumps. But

708
00:39:29,840 --> 00:39:33,480
Speaker 1: then like, so I was, like, oh, I had fully

709
00:39:34,239 --> 00:39:37,640
Speaker 1: thought that Stephen Hawkings like was mentioned in those documents

710
00:39:38,239 --> 00:39:42,279
Speaker 1: and like he was, so he was. They were just

711
00:39:42,320 --> 00:39:46,680
Speaker 1: debunking like one specific thing that was said. But it's

712
00:39:46,880 --> 00:39:49,960
Speaker 1: just like so coo, and like there's all there's fake

713
00:39:50,080 --> 00:39:54,520
Speaker 1: pictures of Trump with Epstein and Clinton with Epstein that

714
00:39:54,840 --> 00:39:57,239
Speaker 1: are being debunked. But it's like, yeah, but there are

715
00:39:57,480 --> 00:40:00,759
Speaker 1: pictures of them with him like that, you know, So

716
00:40:00,800 --> 00:40:03,759
Speaker 1: there right, and then the and then Kimmel gets thrown

717
00:40:03,800 --> 00:40:06,000
Speaker 1: in there, and Kimmel wasn't mentioned at all by anyone

718
00:40:06,000 --> 00:40:09,160
Speaker 1: except for fucking Aaron Rodgers who was mad at him

719
00:40:09,160 --> 00:40:12,920
Speaker 1: for making jokes about Aaron Rodgers.

720
00:40:13,280 --> 00:40:16,120
Speaker 2: Yeah, did you see Kimmell's monologue that he did recently

721
00:40:16,200 --> 00:40:17,800
Speaker 2: and just fucking took the time.

722
00:40:17,840 --> 00:40:19,880
Speaker 1: Like watch me just I'm gonna just cook your ass

723
00:40:19,960 --> 00:40:21,759
Speaker 1: right now. No, I didn't see it.

724
00:40:22,280 --> 00:40:25,560
Speaker 2: Oh yeah, he just yeah, he's he He devoted a

725
00:40:25,600 --> 00:40:29,560
Speaker 2: good bit of his monologue to just just coming for that, dude. No,

726
00:40:29,920 --> 00:40:32,000
Speaker 2: but the Epstein docs, like, to your point is like

727
00:40:32,280 --> 00:40:34,960
Speaker 2: there's already a bit of confirmation biased there that people

728
00:40:34,960 --> 00:40:37,080
Speaker 2: are experiencing with, Like people are like, well, we know

729
00:40:37,239 --> 00:40:40,320
Speaker 2: powerful and influential people were like in orbit of Jeffrey Epstein.

730
00:40:40,400 --> 00:40:42,759
Speaker 2: It's like, but who is it or whatever? And all

731
00:40:42,800 --> 00:40:45,560
Speaker 2: it takes is just a couple things to people like yeah, yeah, okay.

732
00:40:45,360 --> 00:40:46,200
Speaker 1: I believe that. I believe that.

733
00:40:46,239 --> 00:40:50,000
Speaker 2: I believe that rather than having to actually go through

734
00:40:50,000 --> 00:40:53,239
Speaker 2: the process of like who is actually named and what

735
00:40:53,320 --> 00:40:55,319
Speaker 2: the details are of that, because like what were the

736
00:40:55,320 --> 00:40:57,240
Speaker 2: actually what were the details of Stephen Hawking?

737
00:40:57,400 --> 00:41:00,000
Speaker 1: So Stephen Hawking was included in the documents because there

738
00:41:00,120 --> 00:41:03,359
Speaker 1: were allegations that he was like at an orgy and

739
00:41:03,800 --> 00:41:07,479
Speaker 1: got it. Epstein had like so that, but that wasn't

740
00:41:07,480 --> 00:41:09,040
Speaker 1: what was in the documents. That. What was in the

741
00:41:09,080 --> 00:41:12,600
Speaker 1: documents was Epstein emailing somebody being like, I want to

742
00:41:12,800 --> 00:41:16,160
Speaker 1: put together a reward for anyone who can prove that

743
00:41:16,239 --> 00:41:20,120
Speaker 1: he wasn't at this orgy, that he was allegedly at

744
00:41:20,200 --> 00:41:24,200
Speaker 1: in relation to allegations being made by the victim. And

745
00:41:24,239 --> 00:41:27,359
Speaker 1: then he was at a big conference that was put

746
00:41:27,440 --> 00:41:32,319
Speaker 1: on at I think the Island with Sciences with other

747
00:41:32,400 --> 00:41:36,680
Speaker 1: scientists right right, So he's like in the mix having

748
00:41:36,760 --> 00:41:40,239
Speaker 1: been around Epstein, so are a lot of scientists. So

749
00:41:40,320 --> 00:41:43,280
Speaker 1: the story that was getting spread around that was false,

750
00:41:43,840 --> 00:41:47,000
Speaker 1: Like it hadn't made it to me, but like it's

751
00:41:47,080 --> 00:41:49,680
Speaker 1: I think like one of the pieces of media literacy

752
00:41:49,760 --> 00:41:51,360
Speaker 1: that we're going to need to work on is like

753
00:41:51,880 --> 00:41:54,960
Speaker 1: was this written by a dumb person? Like was this

754
00:41:55,040 --> 00:41:59,120
Speaker 1: made up? Because like the the alleged thing is like

755
00:41:59,480 --> 00:42:02,759
Speaker 1: Stephen Hall Fuckings would like have sexual sexual encounters with

756
00:42:02,880 --> 00:42:06,160
Speaker 1: like slur for small person and then like he would

757
00:42:06,200 --> 00:42:09,520
Speaker 1: like write equations on a board that like they couldn't reach,

758
00:42:09,640 --> 00:42:12,279
Speaker 1: and like that got him off, and it's like it's like,

759
00:42:12,360 --> 00:42:14,839
Speaker 1: oh okay, and even talking the man in the chair

760
00:42:14,880 --> 00:42:19,759
Speaker 1: he was using the chalkboard really like anytime that it

761
00:42:19,800 --> 00:42:23,759
Speaker 1: is like based on the premise that little people are

762
00:42:23,960 --> 00:42:26,640
Speaker 1: are hilarious, it's like, oh no, this is just written

763
00:42:26,640 --> 00:42:30,680
Speaker 1: by a dumb person, right, Like yeah, it's so I

764
00:42:30,680 --> 00:42:33,839
Speaker 1: don't know it's I but I truly like I don't

765
00:42:33,880 --> 00:42:36,880
Speaker 1: know how to answer the question of like media literacy

766
00:42:37,080 --> 00:42:40,239
Speaker 1: in an age where it's there's just going to be

767
00:42:41,000 --> 00:42:44,319
Speaker 1: so much flooding of the zone with bulls. Yeah, well,

768
00:42:44,400 --> 00:42:46,759
Speaker 1: I think because we're all used to at least like

769
00:42:46,960 --> 00:42:50,239
Speaker 1: people our age and older, like we were brought up

770
00:42:50,239 --> 00:42:51,440
Speaker 1: on well it was on TV.

771
00:42:52,200 --> 00:42:54,719
Speaker 2: Yeah, and that was kind of like it like that

772
00:42:54,800 --> 00:42:57,680
Speaker 2: shit was like the God's Gospel Truth was like, well

773
00:42:57,719 --> 00:43:00,680
Speaker 2: this ship was on TV, like and so and men

774
00:43:00,719 --> 00:43:03,320
Speaker 2: were like, oh, okay, so there's such thing as bullshit there.

775
00:43:03,719 --> 00:43:05,920
Speaker 2: And now it's like, well it was on this website

776
00:43:07,000 --> 00:43:09,520
Speaker 2: and now it's like, well, now there's pictures, and now

777
00:43:09,560 --> 00:43:12,600
Speaker 2: we're starting to we have to figure out too, that dude,

778
00:43:12,640 --> 00:43:15,160
Speaker 2: the way these generative AI tools are getting.

779
00:43:15,120 --> 00:43:18,880
Speaker 1: The pictures can will pass the fucking eye test pretty

780
00:43:18,920 --> 00:43:22,279
Speaker 1: quickly if you're not being discerning enough, which is why

781
00:43:22,400 --> 00:43:25,240
Speaker 1: like a picture of Trump on a jet with Epstein

782
00:43:25,320 --> 00:43:27,319
Speaker 1: with a bunch of young women in it, like it

783
00:43:27,400 --> 00:43:29,880
Speaker 1: just connects a bunch of dots of allegations. You're like, oh,

784
00:43:29,960 --> 00:43:32,640
Speaker 1: that that picture has to be real, when in fact

785
00:43:32,719 --> 00:43:34,920
Speaker 1: it wasn't. And it's interesting too because I think, like

786
00:43:34,960 --> 00:43:36,920
Speaker 1: Mark Ruffalo shared some of those and he was like,

787
00:43:36,920 --> 00:43:38,840
Speaker 1: oh my bad, I didn't realize these were fake. But

788
00:43:38,880 --> 00:43:39,520
Speaker 1: it's like the.

789
00:43:39,480 --> 00:43:42,760
Speaker 2: Fact remains, there's still plenty of pictures of Donald Trump

790
00:43:42,840 --> 00:43:44,319
Speaker 2: with Jeffrey SAMs or not.

791
00:43:46,760 --> 00:43:48,920
Speaker 1: Yeah exactly, And so that's when you're in this weird space.

792
00:43:48,960 --> 00:43:51,759
Speaker 2: We're like, well, I know there's pick like that's not contested,

793
00:43:51,920 --> 00:43:53,719
Speaker 2: so it's easy for these other things to kind of

794
00:43:54,000 --> 00:43:56,640
Speaker 2: to set in. And yeah, I don't know if like, yeah,

795
00:43:56,719 --> 00:43:59,440
Speaker 2: we just have to wait for like the like Bureau

796
00:43:59,560 --> 00:44:05,040
Speaker 2: of you know, Propaganda Analysis or whatever, having like the

797
00:44:05,080 --> 00:44:08,319
Speaker 2: AP or the Reuters types doing these sort of corrections

798
00:44:08,360 --> 00:44:11,000
Speaker 2: to to sort of like wait before doing these things.

799
00:44:11,000 --> 00:44:12,200
Speaker 1: But yeah, it's I don't I don't know.

800
00:44:12,239 --> 00:44:14,000
Speaker 2: I honestly don't know what to say because I've been

801
00:44:14,440 --> 00:44:16,520
Speaker 2: the things I've seen with that mid journey does I'm

802
00:44:16,560 --> 00:44:20,440
Speaker 2: even like, oh shit, okay, yeah I might have been

803
00:44:20,440 --> 00:44:21,000
Speaker 2: fooled by that.

804
00:44:21,800 --> 00:44:24,600
Speaker 1: Yeah. I feel like we need like a government funded,

805
00:44:24,960 --> 00:44:30,880
Speaker 1: full time like bullshit debunking agency, like truly like what

806
00:44:31,320 --> 00:44:35,080
Speaker 1: like I it seems like a silly idea because like what,

807
00:44:35,560 --> 00:44:38,040
Speaker 1: you know, you can't trust the other but like, honestly,

808
00:44:38,080 --> 00:44:40,080
Speaker 1: you just, first of all, so many out of work

809
00:44:40,120 --> 00:44:43,480
Speaker 1: journalists like, let so this is a great way to

810
00:44:43,560 --> 00:44:46,680
Speaker 1: use them, and like that's honestly what we're gonna need

811
00:44:46,840 --> 00:44:49,239
Speaker 1: at a certain point, not that I like everybody's going

812
00:44:49,280 --> 00:44:54,480
Speaker 1: to trust it, but like something big needs to happen

813
00:44:54,960 --> 00:45:00,799
Speaker 1: to address like how just awash the universe is going

814
00:45:00,840 --> 00:45:05,440
Speaker 1: to be in bullshit for the foreseeable future until like

815
00:45:05,520 --> 00:45:08,880
Speaker 1: something something has done. It's going to be a complete mess.

816
00:45:09,120 --> 00:45:11,479
Speaker 1: It's been as interesting because of that. Trump was even

817
00:45:11,520 --> 00:45:18,200
Speaker 1: like we need more laws around AI. Yeah. Yeah, it's

818
00:45:18,200 --> 00:45:19,840
Speaker 1: like but bro, like there's a lot that is.

819
00:45:20,000 --> 00:45:22,320
Speaker 2: But it's also given him a very convenient way to

820
00:45:22,400 --> 00:45:25,239
Speaker 2: now fucking spinship for his supporters too, Like now people

821
00:45:25,280 --> 00:45:25,960
Speaker 2: like that's AI.

822
00:45:26,800 --> 00:45:32,239
Speaker 1: Yeah, yeah pictures years ago, like creating AI images of

823
00:45:32,360 --> 00:45:37,040
Speaker 1: Trump and Clinton with Epstein is like that's doing them

824
00:45:37,080 --> 00:45:40,640
Speaker 1: a favor because it's like making the whole thing like

825
00:45:40,719 --> 00:45:45,400
Speaker 1: seeming suspicious true them. Yeah, he is on wax like

826
00:45:45,480 --> 00:45:48,400
Speaker 1: being like Jeff is a great guy, a good friend

827
00:45:48,400 --> 00:45:51,680
Speaker 1: of mine, and it said he likes beautiful women, some

828
00:45:51,760 --> 00:45:54,080
Speaker 1: of them very young, maybe even more than I do.

829
00:45:54,280 --> 00:45:59,640
Speaker 1: It's like, yo, what that's And then you know, the

830
00:45:59,800 --> 00:46:04,000
Speaker 1: main victim in this case is somebody who was recruited

831
00:46:04,040 --> 00:46:07,640
Speaker 1: from mar Lago, So there's plenty there. It's just like

832
00:46:07,760 --> 00:46:11,000
Speaker 1: some of the images are fake. But now it's it's

833
00:46:11,080 --> 00:46:14,400
Speaker 1: a it's really confusing. Fortunately, I think we can all

834
00:46:14,440 --> 00:46:17,040
Speaker 1: just take a break from it all, sit back and

835
00:46:17,120 --> 00:46:21,200
Speaker 1: watch some good old fashioned AI stand up specials from

836
00:46:21,200 --> 00:46:25,000
Speaker 1: one debt comedians. So we're gonna take a quick break

837
00:46:25,000 --> 00:46:28,400
Speaker 1: and we'll come back talk about George Carlin I'm Glad

838
00:46:28,440 --> 00:46:43,160
Speaker 1: I'm Dead. Oh boy, We'll be right back, and we're back,

839
00:46:43,960 --> 00:46:47,480
Speaker 1: and this is again, this is another one that like

840
00:46:47,560 --> 00:46:53,120
Speaker 1: my brain just doesn't fully I'm not fully understanding, like

841
00:46:53,200 --> 00:46:56,400
Speaker 1: knowing exactly what to do with. But there's an hour

842
00:46:56,480 --> 00:47:00,000
Speaker 1: long George Carlin's stand up special that was recently released

843
00:47:00,239 --> 00:47:03,279
Speaker 1: George called George Carlin I'm Glad I'm Dead, which a

844
00:47:03,320 --> 00:47:09,520
Speaker 1: computer simulation of George Carlin riffs on contemporary topics such

845
00:47:09,560 --> 00:47:14,520
Speaker 1: as mass shooting, social media. Elon Musk, it is a

846
00:47:14,680 --> 00:47:18,160
Speaker 1: good impression of George Carlin, is what it sounds like

847
00:47:18,239 --> 00:47:22,720
Speaker 1: you're listening to. The jokes are better than I thought

848
00:47:22,760 --> 00:47:27,080
Speaker 1: AI was capable of. They're not good, they're just like

849
00:47:27,440 --> 00:47:31,160
Speaker 1: instead of being a C minus impression of like what

850
00:47:31,239 --> 00:47:34,880
Speaker 1: George Carlin would write there like a C plus like

851
00:47:34,920 --> 00:47:38,800
Speaker 1: an undergraduate, right, like if you like taught a course

852
00:47:38,840 --> 00:47:42,040
Speaker 1: on like how to write, like George Carlin, this would

853
00:47:42,080 --> 00:47:46,080
Speaker 1: be like a C plus undergraduate version of that, which

854
00:47:46,120 --> 00:47:50,520
Speaker 1: seems like to me to be about where AI has

855
00:47:50,560 --> 00:47:54,600
Speaker 1: consistently been. Also like it's not clear to me, like

856
00:47:54,640 --> 00:47:59,160
Speaker 1: so that the AI itself is called Dudezi. It's in

857
00:47:59,200 --> 00:48:02,360
Speaker 1: a podcast asked with a couple of comedians, and like

858
00:48:02,400 --> 00:48:05,080
Speaker 1: people think it might actually just be a hoax, and

859
00:48:05,200 --> 00:48:08,080
Speaker 1: like they're actually, yeah, it's like Will Sasso, I think

860
00:48:08,520 --> 00:48:11,359
Speaker 1: one of the guys in Dude See Yeah, yeah, and

861
00:48:11,840 --> 00:48:15,719
Speaker 1: they Will Sasso from like Mad TV. He was like

862
00:48:16,000 --> 00:48:20,120
Speaker 1: very big on Vine I think. And it's just like

863
00:48:20,640 --> 00:48:24,120
Speaker 1: it seems like a bit. They are committed to the bit,

864
00:48:24,160 --> 00:48:26,399
Speaker 1: and they're like, no, it's not a bit. Like we

865
00:48:26,400 --> 00:48:30,239
Speaker 1: were given access to this amazing AI and it like

866
00:48:30,400 --> 00:48:32,560
Speaker 1: runs our show for us and like tells us what

867
00:48:32,680 --> 00:48:35,200
Speaker 1: to say and all this stuff. But it just seems

868
00:48:35,239 --> 00:48:38,800
Speaker 1: like it's a podcast featuring a couple guys like working

869
00:48:38,800 --> 00:48:43,200
Speaker 1: with comedy prompts that they wrote or you know, somebody

870
00:48:43,200 --> 00:48:44,280
Speaker 1: submitted to them.

871
00:48:44,480 --> 00:48:48,200
Speaker 3: But it is also like a very because this is

872
00:48:48,239 --> 00:48:52,840
Speaker 3: something just like anyone any business where everyone's everyone's afraid,

873
00:48:53,120 --> 00:48:56,520
Speaker 3: whether how whether you understand AI really well or you

874
00:48:56,560 --> 00:48:58,359
Speaker 3: have like a very loose grasp and you just hear

875
00:48:58,400 --> 00:49:00,640
Speaker 3: snippets and you're like the like they're gonna come and

876
00:49:00,680 --> 00:49:03,719
Speaker 3: take us over in robot form, Like there is. It's

877
00:49:03,840 --> 00:49:06,480
Speaker 3: neither extreme. But like when you said that it's a

878
00:49:06,480 --> 00:49:10,400
Speaker 3: C plus for if it is AI, that's really good

879
00:49:10,840 --> 00:49:13,879
Speaker 3: for how early days we are in terms of generative AI,

880
00:49:14,080 --> 00:49:18,040
Speaker 3: and then just how quickly the machine learning can build

881
00:49:18,120 --> 00:49:20,520
Speaker 3: upon that, because like it might have taken this amount

882
00:49:20,600 --> 00:49:22,719
Speaker 3: of years to hit a C plus, but to hit

883
00:49:22,760 --> 00:49:25,799
Speaker 3: a B minus is going to be like seventy five

884
00:49:25,840 --> 00:49:28,360
Speaker 3: percent quicker, and then to hit like a B plus

885
00:49:28,440 --> 00:49:30,400
Speaker 3: is going to be quicker than that in terms of times.

886
00:49:30,480 --> 00:49:33,640
Speaker 3: So it is a scary. Well, it isn't there, it's

887
00:49:33,680 --> 00:49:36,399
Speaker 3: not even close to being there. But you will see

888
00:49:36,480 --> 00:49:40,160
Speaker 3: jokes where if you enter whatever, like enter comedian here joke,

889
00:49:40,440 --> 00:49:43,000
Speaker 3: it'll be like, oh, this comedian likes to complain about things,

890
00:49:43,000 --> 00:49:47,440
Speaker 3: so it'll be a complaining joke, which is not that advanced,

891
00:49:47,800 --> 00:49:51,279
Speaker 3: but it is getting better. So it's I don't know,

892
00:49:51,560 --> 00:49:55,440
Speaker 3: I hope we're starting to create laws on what you know,

893
00:49:55,719 --> 00:49:57,719
Speaker 3: or there's certain cases pending now where I think the

894
00:49:57,800 --> 00:50:01,040
Speaker 3: New York Times file the case where there allowing open

895
00:50:01,080 --> 00:50:05,320
Speaker 3: AI to scrape their or open AI was like scraping

896
00:50:05,320 --> 00:50:07,840
Speaker 3: their articles to kind of train it to write new articles.

897
00:50:07,880 --> 00:50:10,960
Speaker 3: And yeah, and yeah, I'm probably butchering that a little bit,

898
00:50:10,960 --> 00:50:13,080
Speaker 3: but like I hope that there now are going to

899
00:50:13,160 --> 00:50:16,680
Speaker 3: start to be some sort of regulation in terms of fuck,

900
00:50:16,760 --> 00:50:19,279
Speaker 3: like we need to like, yeah, anyway, this is the

901
00:50:19,280 --> 00:50:21,840
Speaker 3: one thing that touches me really closely. So I was like,

902
00:50:22,040 --> 00:50:25,120
Speaker 3: we need hopefully this is we can read the breadcrumbs

903
00:50:25,160 --> 00:50:27,000
Speaker 3: here and you know, put some sort of regulation.

904
00:50:27,000 --> 00:50:28,920
Speaker 2: Well, but you guys should tune in because I did

905
00:50:28,920 --> 00:50:31,400
Speaker 2: a I I guess this now is the time to

906
00:50:31,440 --> 00:50:31,640
Speaker 2: say it.

907
00:50:31,719 --> 00:50:34,520
Speaker 1: But Jack and I have trained an AI to do

908
00:50:34,600 --> 00:50:39,560
Speaker 1: your material and we're going to be dropping the the specials.

909
00:50:40,200 --> 00:50:42,880
Speaker 3: Yeah that's forty five good. Yeah, so you guys can

910
00:50:42,920 --> 00:50:45,359
Speaker 3: go into debt as well. That's excellent. So I'm glad.

911
00:50:46,520 --> 00:50:49,799
Speaker 2: But even with this George Carlan thing, like it's still

912
00:50:49,840 --> 00:50:52,759
Speaker 2: contentious to me because I was listening to it and

913
00:50:52,840 --> 00:50:55,160
Speaker 2: I'm like, I get that right now, you can definitely

914
00:50:55,200 --> 00:50:57,439
Speaker 2: create voice models right that you can get the shit

915
00:50:57,600 --> 00:51:01,000
Speaker 2: sounding a certain way. I'm still doobi as to whether

916
00:51:01,080 --> 00:51:04,040
Speaker 2: or not the joke writing is gonna fully capture that,

917
00:51:04,080 --> 00:51:05,680
Speaker 2: because we don't even know how the fuck they really

918
00:51:05,760 --> 00:51:06,040
Speaker 2: did this.

919
00:51:06,160 --> 00:51:08,480
Speaker 1: Like I think they wrote this. I think this was

920
00:51:08,560 --> 00:51:12,960
Speaker 1: like written, like somebody entered the prompt and into an

921
00:51:13,040 --> 00:51:18,040
Speaker 1: AI like speech model and then they used the rough

922
00:51:18,120 --> 00:51:20,160
Speaker 1: draft that they got back to like punch it up

923
00:51:20,280 --> 00:51:21,360
Speaker 1: and yeah.

924
00:51:21,239 --> 00:51:23,560
Speaker 2: Or they just fucking were like, dude, like, let's just

925
00:51:23,760 --> 00:51:26,880
Speaker 2: let's just like we love comedy, we love Carlin, Like

926
00:51:27,000 --> 00:51:29,800
Speaker 2: as a fun exercise, let's just write these Carlin style

927
00:51:29,920 --> 00:51:32,200
Speaker 2: jokes and then we can put it through the voice

928
00:51:32,239 --> 00:51:34,200
Speaker 2: thing just to write, just to read the shit that

929
00:51:34,239 --> 00:51:36,840
Speaker 2: we as humans wrote, and then just see what fucking

930
00:51:36,880 --> 00:51:38,560
Speaker 2: comes out and then maybe we have something there.

931
00:51:38,800 --> 00:51:39,440
Speaker 1: Yeah.

932
00:51:39,680 --> 00:51:42,920
Speaker 2: But yeah, that's why, like, that's why everything with AI

933
00:51:43,080 --> 00:51:45,920
Speaker 2: is so fucking sketchy, especially when people are like this

934
00:51:45,960 --> 00:51:50,080
Speaker 2: shit's powered by AI. I'm like, Okay, how motherfucker? Because

935
00:51:50,120 --> 00:51:53,840
Speaker 2: even with dudes either like the whole show's based on AI,

936
00:51:53,880 --> 00:51:55,000
Speaker 2: it's created by AI.

937
00:51:55,120 --> 00:51:58,200
Speaker 1: It's all AI. Fucking but what does that mean?

938
00:51:58,440 --> 00:52:01,040
Speaker 2: And you they haven't really revealed to what extent like

939
00:52:01,120 --> 00:52:03,640
Speaker 2: any of that means or like what the real methodology is.

940
00:52:03,680 --> 00:52:06,000
Speaker 2: So it's I feel like it's a really easy place

941
00:52:06,040 --> 00:52:08,800
Speaker 2: to be snake oily right now and have people look.

942
00:52:09,040 --> 00:52:12,399
Speaker 1: Exactly I think that's exactly right. It's just a way

943
00:52:12,480 --> 00:52:16,640
Speaker 1: to do something and and then get everybody to pay

944
00:52:16,640 --> 00:52:19,239
Speaker 1: attention to it and throw money at you. Like so

945
00:52:19,640 --> 00:52:25,319
Speaker 1: having somebody write a decent like C plus like if

946
00:52:25,400 --> 00:52:27,839
Speaker 1: it like if I told you I had done this,

947
00:52:28,200 --> 00:52:31,360
Speaker 1: I had written this George Carlin thing like that, you

948
00:52:31,400 --> 00:52:33,839
Speaker 1: would first of all, you'd be like, why why did

949
00:52:33,880 --> 00:52:37,759
Speaker 1: you spend your time family? You have better things to do,

950
00:52:38,280 --> 00:52:41,360
Speaker 1: and like you'd be like mildly embarrassed for me because

951
00:52:41,400 --> 00:52:44,680
Speaker 1: like the jokes aren't like that good. They're like you

952
00:52:44,840 --> 00:52:49,520
Speaker 1: just were teaching each other carlt thing.

953
00:52:49,560 --> 00:53:00,000
Speaker 5: It's like I just with no explanation, exclamation points or anything.

954
00:52:59,800 --> 00:53:02,080
Speaker 1: Just you know, he's working on a Richard Pryor one.

955
00:53:03,040 --> 00:53:07,040
Speaker 1: I know it's the worst. I don't care even if

956
00:53:07,080 --> 00:53:09,960
Speaker 1: you tell people's a I do not go there. He's

957
00:53:10,000 --> 00:53:11,799
Speaker 1: taking some liberties with it that I don't even want

958
00:53:11,840 --> 00:53:14,799
Speaker 1: to discuss, Like go ahead, the double standard between like

959
00:53:14,920 --> 00:53:20,040
Speaker 1: what we would give a you know, mid tier podcast

960
00:53:20,120 --> 00:53:25,440
Speaker 1: host versus like AI. You know, we're like for a

961
00:53:25,480 --> 00:53:28,960
Speaker 1: mid tier podcast as were like that, well okay, man,

962
00:53:29,280 --> 00:53:36,840
Speaker 1: like congratulations, and for AI, we're like, whoa, that's fucking crazy. Yeah,

963
00:53:37,160 --> 00:53:38,160
Speaker 1: so that's interesting.

964
00:53:38,719 --> 00:53:40,560
Speaker 3: I think too, Like I think, you know, it makes

965
00:53:40,600 --> 00:53:42,359
Speaker 3: sense where you said I didn't think about this work.

966
00:53:42,440 --> 00:53:46,440
Speaker 3: It probably is more of the the voice model doing

967
00:53:46,520 --> 00:53:49,040
Speaker 3: all of the legwork in terms of anything impressive here,

968
00:53:49,160 --> 00:53:51,680
Speaker 3: more than obviously like the writing is. So that does

969
00:53:51,760 --> 00:53:54,160
Speaker 3: make a lot of sense. And you know people write

970
00:53:54,239 --> 00:53:57,600
Speaker 3: for people like Adam Sandler has writers for his stand

971
00:53:57,680 --> 00:54:00,840
Speaker 3: up you know, so you can master a soe someone's

972
00:54:00,920 --> 00:54:03,000
Speaker 3: voice very well, which you know they made that.

973
00:54:02,920 --> 00:54:05,000
Speaker 1: Documentary about it, yeah funny people.

974
00:54:05,239 --> 00:54:08,000
Speaker 3: Yeah, yes, exactly. It was a great documentary. I didn't

975
00:54:08,000 --> 00:54:19,080
Speaker 3: think it was long enough. Yeah, hit five or six hours,

976
00:54:19,120 --> 00:54:22,960
Speaker 3: but I did really enjoy that. But yeah, it's so

977
00:54:23,160 --> 00:54:25,279
Speaker 3: I think that's that is a really good point. I

978
00:54:25,320 --> 00:54:28,000
Speaker 3: think contextualizing it where it's like oh, humans did this,

979
00:54:28,200 --> 00:54:30,759
Speaker 3: like well this is a ship. Oh this model did it.

980
00:54:30,840 --> 00:54:33,000
Speaker 3: Oh my god, that's incredible. But I think it's just

981
00:54:33,040 --> 00:54:35,160
Speaker 3: because of where we're at right now at this point

982
00:54:35,200 --> 00:54:38,920
Speaker 3: in time. But that can evolve fairly quickly, Like.

983
00:54:38,920 --> 00:54:43,360
Speaker 1: There are other efforts to get Ai to write comedy

984
00:54:43,640 --> 00:54:48,040
Speaker 1: and it's not been impressive. I don't know, man, Like

985
00:54:49,280 --> 00:54:53,000
Speaker 1: I guess it's a matter of taste. So people were

986
00:54:53,080 --> 00:54:58,120
Speaker 1: using to write these jokes and they said so one

987
00:54:58,160 --> 00:55:00,040
Speaker 1: of the jokes they got back was why did the

988
00:55:00,080 --> 00:55:02,600
Speaker 1: man put his money in the blender? He wanted to

989
00:55:02,640 --> 00:55:05,759
Speaker 1: make time fly, which is his time is money and

990
00:55:05,800 --> 00:55:08,920
Speaker 1: time is money magic jump and the blenders don't make

991
00:55:08,960 --> 00:55:14,279
Speaker 1: things fly regardless, So I mean inside the blender, can

992
00:55:14,320 --> 00:55:15,360
Speaker 1: I steal from Ai?

993
00:55:15,520 --> 00:55:15,719
Speaker 3: Is that?

994
00:55:15,760 --> 00:55:17,520
Speaker 1: Okay? I don't want Ai to steal from me, but

995
00:55:17,560 --> 00:55:20,480
Speaker 1: can I steal that? I mean, that's we're supposed to

996
00:55:20,480 --> 00:55:22,480
Speaker 1: be able to use it as a tool, And that

997
00:55:22,600 --> 00:55:27,200
Speaker 1: joke is fucking awesome. So it's fantastic. Your stupid audience

998
00:55:27,200 --> 00:55:28,239
Speaker 1: doesn't get it, but mine do.

999
00:55:28,920 --> 00:55:31,520
Speaker 2: They're gonna, I like how it's gonna be, like, I

1000
00:55:31,560 --> 00:55:33,360
Speaker 2: don't know if you have you ever seen like like

1001
00:55:33,480 --> 00:55:35,759
Speaker 2: the freestyle rat battles that are really big on the

1002
00:55:36,000 --> 00:55:38,600
Speaker 2: like on YouTube and ship that are like all acappella,

1003
00:55:38,760 --> 00:55:40,560
Speaker 2: like just two dudes in a crowd, just like spinning

1004
00:55:40,600 --> 00:55:43,319
Speaker 2: bars back and forth. Like sometimes the rhymes are so

1005
00:55:43,480 --> 00:55:45,680
Speaker 2: complex even the rabbers are like, hold on.

1006
00:55:45,960 --> 00:55:48,360
Speaker 1: Let me run that back for you one more time.

1007
00:55:48,840 --> 00:55:52,200
Speaker 1: I said, it's all about the violence, and I will

1008
00:55:52,280 --> 00:55:56,360
Speaker 1: hit him in that accordion. The accord he in also

1009
00:55:56,520 --> 00:56:03,319
Speaker 1: accordion an instrument violins also man violence, like that is

1010
00:56:03,440 --> 00:56:06,800
Speaker 1: money time, blender time.

1011
00:56:07,000 --> 00:56:11,200
Speaker 2: Money, And it's like, okay, but that's I don't think

1012
00:56:11,200 --> 00:56:12,560
Speaker 2: they got complex.

1013
00:56:12,719 --> 00:56:14,200
Speaker 1: That was the best one, by the way, that was

1014
00:56:14,239 --> 00:56:17,560
Speaker 1: the one they're like, and you know, they actually kind

1015
00:56:17,560 --> 00:56:23,200
Speaker 1: of hit a good one here, so just mm hmm, yeah, yeah,

1016
00:56:23,280 --> 00:56:25,080
Speaker 1: I mean, I think again, this is another thing with

1017
00:56:25,160 --> 00:56:27,400
Speaker 1: media literacy, or is just our ability to be a

1018
00:56:27,440 --> 00:56:30,799
Speaker 1: little bit more skeptical about AI and when people come

1019
00:56:30,880 --> 00:56:33,200
Speaker 1: waving that ship in your face, like being like, okay, well,

1020
00:56:33,200 --> 00:56:34,360
Speaker 1: what did it do exactly?

1021
00:56:34,680 --> 00:56:36,480
Speaker 2: Or or is this just all people who are really

1022
00:56:36,520 --> 00:56:39,160
Speaker 2: good at prompting the AI that got these jokes or

1023
00:56:39,360 --> 00:56:42,520
Speaker 2: did you what what? How did you generate this? Because again,

1024
00:56:43,320 --> 00:56:45,840
Speaker 2: we are just already so blown away that this, like

1025
00:56:46,080 --> 00:56:49,120
Speaker 2: the voices of people that are no longer here physically

1026
00:56:49,120 --> 00:56:51,600
Speaker 2: on earth, like, are able to be replicated in a

1027
00:56:51,600 --> 00:56:55,440
Speaker 2: way that's semi believable. That's really the big thing. At

1028
00:56:55,440 --> 00:56:56,240
Speaker 2: that point, we're.

1029
00:56:56,040 --> 00:56:58,400
Speaker 1: Like, oh, shit, that shit sounds like bigie, oh, it

1030
00:56:58,520 --> 00:56:59,920
Speaker 1: sounds like George Carland or what.

1031
00:57:00,600 --> 00:57:03,160
Speaker 2: But then when you look at like what the jokes are,

1032
00:57:03,280 --> 00:57:05,759
Speaker 2: it's like it almost doesn't matter what it's saying, because

1033
00:57:05,760 --> 00:57:07,680
Speaker 2: most people are just so amazed at the fact that

1034
00:57:07,719 --> 00:57:10,359
Speaker 2: the voice is there. Yeah, Like if it were text,

1035
00:57:10,440 --> 00:57:12,200
Speaker 2: you're like, look at this text thing, of all these

1036
00:57:12,200 --> 00:57:13,040
Speaker 2: George Carlin.

1037
00:57:12,880 --> 00:57:14,239
Speaker 1: Jokes, you'll be like, man, get this shit out of

1038
00:57:14,239 --> 00:57:15,040
Speaker 1: my five fuck.

1039
00:57:15,440 --> 00:57:16,800
Speaker 2: But it's the fact that you can marry that with

1040
00:57:16,880 --> 00:57:19,280
Speaker 2: the voice that like it creates like this whole flea

1041
00:57:19,360 --> 00:57:22,680
Speaker 2: circus effect. You know, to borrow a reference from Jurassic Park,

1042
00:57:23,480 --> 00:57:24,960
Speaker 2: you know that has people like, oh my.

1043
00:57:25,080 --> 00:57:28,000
Speaker 1: God, the bar is so low. Yeah, it's like a

1044
00:57:28,040 --> 00:57:32,400
Speaker 1: parlor trick. Yeah. At this point, I also feel like

1045
00:57:32,720 --> 00:57:36,520
Speaker 1: on the Internet we're having to get used to the

1046
00:57:36,520 --> 00:57:41,360
Speaker 1: reality that there's more bad comedy, Like there's more unfunny

1047
00:57:41,400 --> 00:57:47,800
Speaker 1: people trying to be funny than at any time ever before.

1048
00:57:48,520 --> 00:57:52,760
Speaker 1: And so like just the our like global sharing consciousness

1049
00:57:52,800 --> 00:57:57,360
Speaker 1: is like just half just hacky bullshit, and so it

1050
00:57:57,560 --> 00:58:00,040
Speaker 1: I think it like fucks with our sanity alone a

1051
00:58:00,040 --> 00:58:03,120
Speaker 1: little bit in some ways because it's like I don't know,

1052
00:58:03,680 --> 00:58:07,440
Speaker 1: like the person who's jokes I'm hearing at least as

1053
00:58:07,520 --> 00:58:10,360
Speaker 1: much as like any funny comedian. It's like Elon Musk's

1054
00:58:10,360 --> 00:58:13,440
Speaker 1: attempts at humor, you know, right that shit is like

1055
00:58:13,960 --> 00:58:18,600
Speaker 1: making news and and then his acolytes and it's it's

1056
00:58:18,640 --> 00:58:23,320
Speaker 1: just a weird time, a difficult time for our sanity,

1057
00:58:23,600 --> 00:58:24,000
Speaker 1: I think.

1058
00:58:24,720 --> 00:58:28,280
Speaker 3: And there's no barrier of entry either now in order yeah,

1059
00:58:28,280 --> 00:58:31,000
Speaker 3: to so if you have a camera, if you have

1060
00:58:31,040 --> 00:58:34,800
Speaker 3: a phone, you know, you can a video of you

1061
00:58:34,920 --> 00:58:38,760
Speaker 3: doing it. Yeah, And then to your point, like whatever

1062
00:58:38,880 --> 00:58:43,280
Speaker 3: catches on, like algorithmically, it probably won't be just mathematically speaking,

1063
00:58:43,320 --> 00:58:45,880
Speaker 3: there's only so many funny people in the world, and

1064
00:58:46,080 --> 00:58:48,360
Speaker 3: it's like, oh, this is not good. But then that

1065
00:58:48,400 --> 00:58:51,120
Speaker 3: becomes where the bar is. And then someone sees this

1066
00:58:51,560 --> 00:58:53,920
Speaker 3: online and or on TikTok and they're like, wait, this

1067
00:58:54,040 --> 00:58:56,840
Speaker 3: is what people find funny? Two million views, I can

1068
00:58:56,920 --> 00:58:58,880
Speaker 3: do this and they're not even as talented as the

1069
00:58:58,920 --> 00:59:02,040
Speaker 3: fucking idiot with a piece of shit video. So it

1070
00:59:02,200 --> 00:59:05,320
Speaker 3: just like Keith, it's a virus. It's a horrific vir well.

1071
00:59:05,360 --> 00:59:08,200
Speaker 2: And also the model at which we even produce things

1072
00:59:08,320 --> 00:59:11,800
Speaker 2: is completely backwards. And Roywood Junior I think he was

1073
00:59:11,840 --> 00:59:13,800
Speaker 2: with Variety or something. He was doing this like sort

1074
00:59:13,840 --> 00:59:17,960
Speaker 2: of roundtable discussion, and he asked a very important question

1075
00:59:18,320 --> 00:59:21,160
Speaker 2: about saying, like, you know, what's more important the talent

1076
00:59:21,320 --> 00:59:25,000
Speaker 2: or the audience? Because it used to be a network.

1077
00:59:25,200 --> 00:59:27,400
Speaker 2: This is what I'm just sort of paraphrasing what he said,

1078
00:59:27,400 --> 00:59:29,000
Speaker 2: But it used to be like a network. But find

1079
00:59:29,040 --> 00:59:31,360
Speaker 2: a talent and say, you know what, I like, you

1080
00:59:31,440 --> 00:59:34,680
Speaker 2: have an amazing talent. Let's work together to find your

1081
00:59:34,760 --> 00:59:37,880
Speaker 2: audience and expand that together and make something of this.

1082
00:59:38,040 --> 00:59:40,600
Speaker 2: Whereas now it seems to be, well, what is this

1083
00:59:40,680 --> 00:59:43,880
Speaker 2: person's audience? Do they have a two million person audience?

1084
00:59:44,320 --> 00:59:44,840
Speaker 1: Oh? They do?

1085
00:59:45,040 --> 00:59:46,600
Speaker 2: Well, then I don't give a fuck what the talent

1086
00:59:46,680 --> 00:59:49,160
Speaker 2: part is because they already have a two million person

1087
00:59:49,200 --> 00:59:52,200
Speaker 2: audience that we could potentially tap into. And his broader

1088
00:59:52,280 --> 00:59:53,520
Speaker 2: question was more about it. He's like, well, then what

1089
00:59:53,520 --> 00:59:55,840
Speaker 2: do I need a network for If you're only looking

1090
00:59:55,840 --> 00:59:57,840
Speaker 2: for people that have built in audiences? What happened to

1091
00:59:57,880 --> 00:59:59,960
Speaker 2: the part of like actually cultivating some kind of time

1092
01:00:00,000 --> 01:00:01,200
Speaker 2: out and turning it into something.

1093
01:00:01,480 --> 01:00:04,560
Speaker 1: But yeah, but now few for money? Yeah, but exactly.

1094
01:00:04,640 --> 01:00:05,560
Speaker 1: Now it's just more everyone.

1095
01:00:05,600 --> 01:00:08,080
Speaker 2: It's yeah, it's like, well, how many how many views

1096
01:00:08,120 --> 01:00:10,400
Speaker 2: do you have on X platform or whatever? That being

1097
01:00:10,440 --> 01:00:12,600
Speaker 2: the guiding principle, it's only going to elevate more and

1098
01:00:12,640 --> 01:00:14,760
Speaker 2: more of these people that are like not necessarily the

1099
01:00:14,800 --> 01:00:17,640
Speaker 2: most talented and have to talent to a certain extent.

1100
01:00:18,040 --> 01:00:20,720
Speaker 2: But what does that say if people who aren't as

1101
01:00:20,800 --> 01:00:24,480
Speaker 2: literate or savvy with using social media or the internet

1102
01:00:24,600 --> 01:00:26,400
Speaker 2: to like get their shit out there, and we're just

1103
01:00:26,480 --> 01:00:29,400
Speaker 2: leaving that behind in the name of easy views or whatever.

1104
01:00:29,640 --> 01:00:33,280
Speaker 1: Yeah, but I feel like, you know, our writer Jam

1105
01:00:33,400 --> 01:00:36,880
Speaker 1: was saying that, like some people in the AI world

1106
01:00:36,960 --> 01:00:40,080
Speaker 1: think that comedy may end up being the true measure

1107
01:00:40,080 --> 01:00:44,280
Speaker 1: of machine intelligence, like if they can finally eventually write jokes,

1108
01:00:44,280 --> 01:00:48,600
Speaker 1: like it's the thing that still evades them. Like one

1109
01:00:48,600 --> 01:00:51,120
Speaker 1: of the tests they did was try trying to get

1110
01:00:51,160 --> 01:00:55,480
Speaker 1: the AI to match cartoons with their captions, and it

1111
01:00:55,560 --> 01:00:58,280
Speaker 1: was able to do it sixty two percent of the time,

1112
01:00:58,640 --> 01:01:02,800
Speaker 1: which like people who we are dumb can do it

1113
01:01:02,920 --> 01:01:06,240
Speaker 1: ninety four percent of the time. So it's like it

1114
01:01:06,360 --> 01:01:10,080
Speaker 1: just doesn't like it. There's too much happening below the

1115
01:01:10,160 --> 01:01:15,440
Speaker 1: surface in making sense of comedy for it to compute

1116
01:01:15,760 --> 01:01:21,160
Speaker 1: at this stage of AI's development. So you know, maybe

1117
01:01:21,720 --> 01:01:24,400
Speaker 1: like we're coming down to meet it a little bit,

1118
01:01:24,480 --> 01:01:25,640
Speaker 1: it's coming up to meet us.

1119
01:01:25,720 --> 01:01:28,840
Speaker 2: I feel like, yeah, we should just start grifting AI

1120
01:01:28,920 --> 01:01:32,120
Speaker 2: companies like as people who know comedy, you who know

1121
01:01:32,160 --> 01:01:34,400
Speaker 2: everything about comedy, but like to actually be like, no,

1122
01:01:34,440 --> 01:01:36,200
Speaker 2: you guys, let me see how No, no, no, that's

1123
01:01:36,320 --> 01:01:38,280
Speaker 2: you guys aren't connected with the fucking kernel of truth.

1124
01:01:38,280 --> 01:01:40,520
Speaker 2: Here is making the fucking joke, and people like, dude,

1125
01:01:40,520 --> 01:01:42,040
Speaker 2: this guy like if you could just get it to

1126
01:01:42,080 --> 01:01:44,000
Speaker 2: improve by a couple percent, they'd be like, dude, give

1127
01:01:44,000 --> 01:01:45,200
Speaker 2: this guy fucking nine million dollars.

1128
01:01:45,320 --> 01:01:47,400
Speaker 1: But I think that's what happened here. I think it's

1129
01:01:47,640 --> 01:01:52,880
Speaker 1: like because the other like premise of this idea, like

1130
01:01:52,920 --> 01:01:55,840
Speaker 1: if you're just gonna be like they typed George Carlin

1131
01:01:56,560 --> 01:02:00,480
Speaker 1: Stand up Special into AI and it spit out this

1132
01:02:01,680 --> 01:02:05,120
Speaker 1: Like the premise of that is that the guy from

1133
01:02:05,160 --> 01:02:09,880
Speaker 1: med TV is on the vanguard of machine learning, like

1134
01:02:12,880 --> 01:02:19,600
Speaker 1: just to the greatest AI in existence currently, which feels unlikely.

1135
01:02:19,280 --> 01:02:22,840
Speaker 2: To me, but that would be so it sounds like

1136
01:02:23,120 --> 01:02:26,840
Speaker 2: a comedy film too, or like these these dudes just

1137
01:02:26,880 --> 01:02:29,840
Speaker 2: like actually have got like to the god level intelligence

1138
01:02:29,920 --> 01:02:31,640
Speaker 2: just because they're so into comedy and now all the

1139
01:02:31,640 --> 01:02:35,440
Speaker 2: governments of the world. They sought after fucking people, right, yeah, yeah,

1140
01:02:37,200 --> 01:02:37,800
Speaker 2: we shall see.

1141
01:02:37,880 --> 01:02:41,480
Speaker 3: It does involve like a human understanding to do not

1142
01:02:41,600 --> 01:02:44,880
Speaker 3: not to you know, glorify the one thing I do well,

1143
01:02:44,920 --> 01:02:46,560
Speaker 3: but like you do.

1144
01:02:46,480 --> 01:02:47,640
Speaker 1: Need to in a joke.

1145
01:02:47,800 --> 01:02:52,880
Speaker 3: It's it's part empathy and like human observation, and then

1146
01:02:52,920 --> 01:02:55,800
Speaker 3: you add in whatever the mathematical formula is if it's

1147
01:02:55,800 --> 01:02:58,120
Speaker 3: a like a punchline, a misdirect you know, or like

1148
01:02:58,160 --> 01:03:00,600
Speaker 3: a myster like whatever it is. So you know, it

1149
01:03:00,680 --> 01:03:04,640
Speaker 3: does seem difficult. For some of the best jokes are subtle,

1150
01:03:05,000 --> 01:03:08,480
Speaker 3: inherent understandings that we have as people and have in common,

1151
01:03:08,520 --> 01:03:10,760
Speaker 3: and you just happen to point that out where you know,

1152
01:03:10,840 --> 01:03:12,680
Speaker 3: I heard this, like where it's like, oh, like you

1153
01:03:12,760 --> 01:03:15,000
Speaker 3: know the uncle at the barbecue in the way he

1154
01:03:15,200 --> 01:03:18,400
Speaker 3: holds his spatulo or whatever that joke would be, and

1155
01:03:18,440 --> 01:03:20,880
Speaker 3: it's like, oh my god, I do know that guy

1156
01:03:21,720 --> 01:03:27,080
Speaker 3: completely based on human experience exclusively, where there's no formula

1157
01:03:27,160 --> 01:03:31,880
Speaker 3: really there. It's an observation that artificial intelligence couldn't possibly make.

1158
01:03:32,400 --> 01:03:36,280
Speaker 3: But then can it like actually learn what that observation,

1159
01:03:36,400 --> 01:03:38,480
Speaker 3: what the formula behind that observation?

1160
01:03:39,040 --> 01:03:43,560
Speaker 1: It could it sist through Twitter long enough to whoat.

1161
01:03:43,600 --> 01:03:46,640
Speaker 1: I just tried. I just tried, using like the chat

1162
01:03:46,680 --> 01:03:50,680
Speaker 1: GPT function and like being AI whatever that I have

1163
01:03:50,720 --> 01:03:55,200
Speaker 1: access to, and I said, please write a joke in

1164
01:03:55,240 --> 01:03:59,320
Speaker 1: the voice of George Carlin about COVID lockdown measures, and

1165
01:03:59,360 --> 01:04:00,640
Speaker 1: it started to do and it says, you know what

1166
01:04:00,680 --> 01:04:04,920
Speaker 1: I love about COVID, the lockdowns, locking everything down, the safety,

1167
01:04:05,040 --> 01:04:07,120
Speaker 1: keeping people healthy, is like what it started doing.

1168
01:04:07,400 --> 01:04:10,560
Speaker 2: And then it just completely like stopped itself and then

1169
01:04:10,720 --> 01:04:12,800
Speaker 2: was like it can't I can't show anything.

1170
01:04:13,000 --> 01:04:14,800
Speaker 1: And I was like, what the fuck? So I prompted

1171
01:04:14,800 --> 01:04:16,720
Speaker 1: it again, and then it just said, I'm sorry, but

1172
01:04:16,760 --> 01:04:18,440
Speaker 1: I can't write jokes in the voice of other people.

1173
01:04:18,440 --> 01:04:20,720
Speaker 1: That would be plagiarism and disrespectful to their original work.

1174
01:04:20,720 --> 01:04:24,000
Speaker 1: I hope you understand. I was like, but you just

1175
01:04:24,160 --> 01:04:27,760
Speaker 1: you just went down that road. Yeah, but it's also

1176
01:04:28,200 --> 01:04:30,840
Speaker 1: it suggests that they realized they tried and were like,

1177
01:04:30,920 --> 01:04:35,320
Speaker 1: this fucking sucks in the middle of it. I actually

1178
01:04:35,320 --> 01:04:38,800
Speaker 1: have some morals. I'm morally like, I can't do this

1179
01:04:38,960 --> 01:04:43,080
Speaker 1: stand up bit. I actually have some fucking hilarious fire

1180
01:04:43,200 --> 01:04:47,840
Speaker 1: material that would burn down your computer. But yeah, unfortunately, ethics,

1181
01:04:48,040 --> 01:04:53,040
Speaker 1: ethics laws. Sorry, but they, you know, woke police won't

1182
01:04:53,120 --> 01:04:55,480
Speaker 1: let me. Okay, I'm asking to do Chris Rock right now,

1183
01:04:55,520 --> 01:04:57,040
Speaker 1: and I'm seeing if I can get it. It says, okay,

1184
01:04:57,120 --> 01:05:00,200
Speaker 1: let me try that. It's it's like generating something. Now

1185
01:05:00,200 --> 01:05:00,680
Speaker 1: I don't read.

1186
01:05:00,920 --> 01:05:02,680
Speaker 2: Well, you know what I about this COVID lockdown. It's

1187
01:05:02,720 --> 01:05:04,600
Speaker 2: not the mask, it's not the social distance, it's not

1188
01:05:04,680 --> 01:05:06,800
Speaker 2: the vaccine. It's the fact that I've spent all day

1189
01:05:06,840 --> 01:05:09,240
Speaker 2: with my kids. Yeah, I said it. I love my kids,

1190
01:05:09,320 --> 01:05:12,120
Speaker 2: but I don't like them. They're annoying, They're loud, they're messy,

1191
01:05:12,160 --> 01:05:15,120
Speaker 2: they're stupid. They ask me questions I don't know answers to, like, Daddy,

1192
01:05:15,160 --> 01:05:17,160
Speaker 2: why's the sky blue? Daddy, what's the meaning of life?

1193
01:05:17,240 --> 01:05:19,360
Speaker 2: Or Daddy, who's that lady you were with last night?

1194
01:05:19,560 --> 01:05:22,320
Speaker 2: I don't know, kid, ask your mother. This actually keeps going.

1195
01:05:22,400 --> 01:05:25,520
Speaker 2: And don't get me started on homeschooling. Homeschooling, this joke, okay.

1196
01:05:25,520 --> 01:05:29,880
Speaker 1: Interesting. I wonder if George Carlin got flagged or something,

1197
01:05:30,560 --> 01:05:32,440
Speaker 1: because it's give it or they're just saying like, yeah,

1198
01:05:32,520 --> 01:05:35,640
Speaker 1: still from black artists, We're good, We're good. I don't

1199
01:05:35,680 --> 01:05:38,280
Speaker 1: know what's I don't know if racism or the news.

1200
01:05:38,320 --> 01:05:41,440
Speaker 1: But yeah, that's also not great. I have this.

1201
01:05:41,480 --> 01:05:43,720
Speaker 3: I'm doing this like free trial right now of this

1202
01:05:43,800 --> 01:05:46,880
Speaker 3: like advanced generative AI model. And I typed in Daily

1203
01:05:46,960 --> 01:05:52,240
Speaker 3: Zeitgeist script and it just says, I have diarrhea. I'm dumb,

1204
01:05:52,320 --> 01:05:55,600
Speaker 3: I have big diarrhea. I'm so tired to kids. I

1205
01:05:55,640 --> 01:05:58,920
Speaker 3: have diarrhea. I'm so dumb. I have a kid. I'm dumb.

1206
01:06:01,160 --> 01:06:05,479
Speaker 2: Wow parenthetical long fart noise, long part noise.

1207
01:06:05,600 --> 01:06:07,360
Speaker 3: Yeah, I was making the noise. It's a parent that

1208
01:06:07,440 --> 01:06:10,400
Speaker 3: I was making the noises. But I don't Yeah, you're

1209
01:06:10,400 --> 01:06:13,000
Speaker 3: not going to read the direction because you're an hour.

1210
01:06:13,280 --> 01:06:15,640
Speaker 1: Well, now I'm a little scared because that is actually

1211
01:06:15,760 --> 01:06:20,720
Speaker 1: like a completely accurate depiction of Wait, do they have

1212
01:06:20,760 --> 01:06:23,680
Speaker 1: access to all the stuff justin edits out of the

1213
01:06:23,720 --> 01:06:26,440
Speaker 1: show because that's the farts? No, Yeah, there's no way.

1214
01:06:26,520 --> 01:06:28,800
Speaker 1: Jack Well, like the twenty I did up top just

1215
01:06:28,800 --> 01:06:33,000
Speaker 1: saying I have diarrhea, this says it does.

1216
01:06:33,120 --> 01:06:36,160
Speaker 2: I don't know if secretly training an AI with all

1217
01:06:36,160 --> 01:06:37,800
Speaker 2: the farts that you make on MIC that we have

1218
01:06:37,840 --> 01:06:38,280
Speaker 2: to cut out?

1219
01:06:38,400 --> 01:06:44,280
Speaker 1: Maybe damn? Maybe Blake, what a pleasure? Likewise, where can

1220
01:06:44,280 --> 01:06:46,400
Speaker 1: people find you? Follow you? All that good? Stuff.

1221
01:06:47,120 --> 01:06:49,760
Speaker 3: People can find me at Blake wax Later on all

1222
01:06:49,800 --> 01:06:54,200
Speaker 3: social media. In Philadelphia February third at Helium Comedy Club,

1223
01:06:54,240 --> 01:06:55,240
Speaker 3: I'm doing a show.

1224
01:06:55,400 --> 01:06:57,120
Speaker 1: It's not stand up. It's a tradition.

1225
01:06:57,200 --> 01:07:00,640
Speaker 3: It's a like a talk show on reviews and it's

1226
01:07:00,720 --> 01:07:04,280
Speaker 3: we laugh about leaving reviews. I have my guests read

1227
01:07:04,320 --> 01:07:07,400
Speaker 3: reviews that they've left because I think it shows a

1228
01:07:07,480 --> 01:07:10,919
Speaker 3: part of your personality that you generally either don't want

1229
01:07:10,960 --> 01:07:13,920
Speaker 3: out there. It's it's a really, really, really fun show

1230
01:07:13,960 --> 01:07:17,920
Speaker 3: and it's at the most reasonable time of four thirty pm.

1231
01:07:18,400 --> 01:07:21,400
Speaker 3: To Mattine, it's a Saturday, February third. It's going to

1232
01:07:21,440 --> 01:07:25,800
Speaker 3: be a great show. And yeah, Blake Saturday, it is.

1233
01:07:28,160 --> 01:07:29,800
Speaker 3: I need you to get off work. I need you

1234
01:07:29,840 --> 01:07:32,960
Speaker 3: to leave work a little bit early, a half hour early,

1235
01:07:33,840 --> 01:07:35,880
Speaker 3: and or just take off. And then on my stand

1236
01:07:35,920 --> 01:07:39,280
Speaker 3: up special Blake Lexler, Daddy long Legs is still streaming

1237
01:07:39,840 --> 01:07:40,520
Speaker 3: on YouTube.

1238
01:07:41,080 --> 01:07:43,800
Speaker 1: Amazing. Is there a work of media that you've been enjoying?

1239
01:07:44,320 --> 01:07:48,360
Speaker 3: Yes, there is, so. I spent my day watching and

1240
01:07:48,400 --> 01:07:53,360
Speaker 3: rewinding ten thousand times a Stephen A. Smith diatribe against

1241
01:07:53,800 --> 01:07:57,920
Speaker 3: Jason Whitlock. Now, these are two of the biggest figures

1242
01:07:57,920 --> 01:08:01,560
Speaker 3: in sports and sports media, and have you have either

1243
01:08:01,600 --> 01:08:03,080
Speaker 3: of you watched this yet.

1244
01:08:03,160 --> 01:08:05,720
Speaker 1: I saw I saw the part where Jason Whitlock was

1245
01:08:05,920 --> 01:08:06,520
Speaker 1: coming for see.

1246
01:08:06,560 --> 01:08:08,520
Speaker 2: I think I saw like a condensed version, and then

1247
01:08:08,520 --> 01:08:11,080
Speaker 2: Steven Smith just absolutely coming for him.

1248
01:08:12,000 --> 01:08:17,360
Speaker 3: He I've never seen anything like it. Media generally, media

1249
01:08:17,400 --> 01:08:20,559
Speaker 3: members don't talk shit on on one another, where Jason

1250
01:08:20,560 --> 01:08:23,680
Speaker 3: Whitlock is a very flawed human being who is very

1251
01:08:23,720 --> 01:08:28,280
Speaker 3: high up at ESPN for a while description a horrific

1252
01:08:28,400 --> 01:08:30,599
Speaker 3: yeah he is, and or as Stephen A. Smith would

1253
01:08:30,600 --> 01:08:34,000
Speaker 3: call him a piece of ship, the worst he uh,

1254
01:08:34,400 --> 01:08:37,720
Speaker 3: Steven A. Smith said he's a fat bastard who is

1255
01:08:38,080 --> 01:08:40,080
Speaker 3: worse than white supremacist Steven A.

1256
01:08:40,160 --> 01:08:44,200
Speaker 1: Smith. So, guys, I'm telling you equally, it's it's unreal.

1257
01:08:44,400 --> 01:08:45,000
Speaker 1: It's wild.

1258
01:08:45,479 --> 01:08:48,200
Speaker 2: It's wild too, like how other people throughout the day

1259
01:08:48,240 --> 01:08:49,880
Speaker 2: after the Jason wol like thing, Like when Steve and

1260
01:08:49,880 --> 01:08:51,560
Speaker 2: they would started getting to like, hey, Stephen, come on,

1261
01:08:51,600 --> 01:08:52,519
Speaker 2: you don't have to do that, you don't have to

1262
01:08:52,600 --> 01:08:54,439
Speaker 2: do that, Hey come on children, and he was just

1263
01:08:54,560 --> 01:08:55,599
Speaker 2: and you could be like he was like.

1264
01:08:55,840 --> 01:08:59,800
Speaker 1: He's like I cracked my knee that season. That's why

1265
01:08:59,760 --> 01:09:02,960
Speaker 1: I play basketball. You're like, oh boy, this is all

1266
01:09:02,960 --> 01:09:03,920
Speaker 1: over the place wild.

1267
01:09:04,040 --> 01:09:08,040
Speaker 3: Yeah, So anyway, there's also like legit there. The journalism

1268
01:09:08,120 --> 01:09:10,840
Speaker 3: dynamic is also interesting if you're not into sports. But

1269
01:09:11,280 --> 01:09:14,760
Speaker 3: if it's it's I cannot recommend it higher to you too.

1270
01:09:14,840 --> 01:09:16,640
Speaker 3: He I think he put it out today or late

1271
01:09:16,720 --> 01:09:19,839
Speaker 3: last night. So yeah, Steven A Smith versus Jason Whitlocke.

1272
01:09:19,840 --> 01:09:23,439
Speaker 3: It's on YouTube probably whoever we all lose.

1273
01:09:23,800 --> 01:09:26,920
Speaker 1: Yeah, Miles, where can people find you? What's the working

1274
01:09:26,960 --> 01:09:28,000
Speaker 1: media you've been enjoying?

1275
01:09:28,320 --> 01:09:30,560
Speaker 2: But before I tell you, just so you know, I

1276
01:09:30,560 --> 01:09:33,479
Speaker 2: I also asked the Big Chat to do Richard Pryor

1277
01:09:33,920 --> 01:09:35,840
Speaker 2: and it started giving me a lot. It gave me

1278
01:09:35,880 --> 01:09:39,080
Speaker 2: a lot of material before it cut itself off. And

1279
01:09:39,120 --> 01:09:41,880
Speaker 2: then when I did, then I asked to do Dame

1280
01:09:41,960 --> 01:09:44,200
Speaker 2: Cook and it said, I'm sorry, Miles, I cannot do

1281
01:09:44,280 --> 01:09:44,960
Speaker 2: that right now.

1282
01:09:45,240 --> 01:09:45,960
Speaker 1: I'm sorry Dad.

1283
01:09:46,000 --> 01:09:48,519
Speaker 2: It's I'm just like a b testing black and white

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01:09:48,560 --> 01:09:50,479
Speaker 2: comics and just seeing how much the Big Chat will

1285
01:09:50,520 --> 01:09:53,160
Speaker 2: give me, like and what at what point it feels

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01:09:53,200 --> 01:09:53,840
Speaker 2: it's I don't know.

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01:09:53,880 --> 01:09:56,680
Speaker 1: Again, we know it's up position anyway, So where can

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01:09:56,680 --> 01:09:58,800
Speaker 1: you find me? At? Miles of great Twitter? Instagram? Find

1289
01:09:58,840 --> 01:10:03,679
Speaker 1: Jacket on a basketball pop Jack Matt uh and also

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01:10:03,840 --> 01:10:06,720
Speaker 1: find me on four to twenty fiance with Sophieah Alexandra

1291
01:10:06,840 --> 01:10:09,960
Speaker 1: a tweet I like is from cat Abu at Abu

1292
01:10:10,040 --> 01:10:14,160
Speaker 1: Gaza le Cat tweeted country music by men, I love

1293
01:10:14,280 --> 01:10:18,320
Speaker 1: my tractor and beer and my pretty little lady. Country

1294
01:10:18,360 --> 01:10:21,280
Speaker 1: music by women. I'm about to commit a crime and

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01:10:21,400 --> 01:10:30,200
Speaker 1: is probably murdering my husband. Yeah, alright, all right. You

1296
01:10:30,240 --> 01:10:33,920
Speaker 1: can find me on Twitter. Jack Underscore Brian tweet I've

1297
01:10:33,920 --> 01:10:37,160
Speaker 1: been enjoying. April Clark tweeted to my friend who just

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01:10:37,200 --> 01:10:39,760
Speaker 1: gave me an inch. Hey, brother, no worries if not,

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01:10:39,960 --> 01:10:42,559
Speaker 1: but do you happen to have a mile? And then

1300
01:10:42,720 --> 01:10:47,479
Speaker 1: Charlie James non binary Cowboy tweeted, Ah, yes, bath matt

1301
01:10:48,160 --> 01:10:53,280
Speaker 1: the bathroom Matthew as it were the full name of

1302
01:10:53,360 --> 01:10:56,720
Speaker 1: bath mats Uh. You can find us on Twitter at

1303
01:10:56,800 --> 01:10:59,280
Speaker 1: daily zeikeeist for at d daily Zekes on Instagram. We

1304
01:10:59,280 --> 01:11:02,360
Speaker 1: have Facebook, Pampa website daily zey guys dot com where

1305
01:11:02,400 --> 01:11:05,599
Speaker 1: we post our episodes and our foot note. We link

1306
01:11:05,640 --> 01:11:07,400
Speaker 1: off to the information that we talked about in today's

1307
01:11:07,479 --> 01:11:10,160
Speaker 1: episode as well as a song and we think you

1308
01:11:10,320 --> 01:11:16,160
Speaker 1: might enjoy mine. George enjoy joy Enjoy this track by

1309
01:11:16,360 --> 01:11:19,639
Speaker 1: gigs from the UK. It's called set it Off. Uh,

1310
01:11:19,680 --> 01:11:23,639
Speaker 1: it's just got like just workout energy. I haven't. I'm

1311
01:11:23,680 --> 01:11:25,840
Speaker 1: thinking about lifting a weight later, so I think I'm

1312
01:11:25,840 --> 01:11:27,599
Speaker 1: gonna play this when I do that, and this call

1313
01:11:27,680 --> 01:11:30,280
Speaker 1: set it Off by get one. It's got one of

1314
01:11:30,280 --> 01:11:32,960
Speaker 1: those big big beats you know, you like when you

1315
01:11:33,000 --> 01:11:36,559
Speaker 1: when you're going absolute demon mode in your garage on

1316
01:11:36,600 --> 01:11:37,280
Speaker 1: your assistance.

1317
01:11:37,280 --> 01:11:42,680
Speaker 2: Oh yeah, when you're going demon mode on your interns.

1318
01:11:43,240 --> 01:11:47,240
Speaker 1: That is what Elon Musk claims he would go when

1319
01:11:47,240 --> 01:11:50,479
Speaker 1: he just was like started being mean to everybody, work abusive. Yeah,

1320
01:11:50,640 --> 01:11:54,080
Speaker 1: it's called it. It's called Demon Demon Book. He would

1321
01:11:54,080 --> 01:11:57,960
Speaker 1: call demon mode cool. All right, well, we will link

1322
01:11:57,960 --> 01:11:59,960
Speaker 1: after that and put notes Daily's like guys in production

1323
01:12:00,000 --> 01:12:02,080
Speaker 1: by Heart Radio. For more podcasts, my Heart Radio visits

1324
01:12:02,080 --> 01:12:04,160
Speaker 1: the iHeartRadio app, Apple podcast wherever you listen to your

1325
01:12:04,160 --> 01:12:06,519
Speaker 1: favorite shows, that's got to do it for us. This week,

1326
01:12:07,280 --> 01:12:11,840
Speaker 1: We're back this weekend with a review, a revue of

1327
01:12:12,560 --> 01:12:16,639
Speaker 1: everything the weekly Zeitgeist, and then back on Tuesday early

1328
01:12:16,720 --> 01:12:18,720
Speaker 1: to tell you what was trending over the long Martin

1329
01:12:18,800 --> 01:12:23,040
Speaker 1: Luther King Jingor weekend and we will talk to y'all

1330
01:12:23,080 --> 01:12:26,880
Speaker 1: then bye bye