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Speaker 1: From Hollywood. Thank you for listening to us. Ryan with

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Speaker 1: Ryan Seacrest, Good morning, Ryan Seacrest. With you just reading here.

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Speaker 1: The Walt Disney Studios was founded ninety seven years ago.

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Speaker 1: Flora just went to Disney World. My niece. She just

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Speaker 1: went to Disney World for the first time, mom, dad, sister,

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Speaker 1: brother in law, and law knees four years old, seeing

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Speaker 1: Cinderella and Mickey Many for the first time. What she

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Speaker 1: wanted to dress up like a princess, like a princess.

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Speaker 1: So then she comes home with a rat to Chewy

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Speaker 1: Chef's hat. So cute sends me a video of her

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Speaker 1: in a rat to Chewy Chef's hat. So I had

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Speaker 1: to go find mine and uh put mine on. I'm

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Speaker 1: gonna show it to you right there. I put mine on.

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Speaker 1: Your selfie fase, my selfie face, what's my selfie face?

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Speaker 1: That face and the photo which is I can't hear you.

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Speaker 1: It's like a smize. It's like a it's like a

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Speaker 1: it's like a smize with your you know, the eyes

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Speaker 1: kind of like squinty a little bit smizing, twiznees sizing

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Speaker 1: and it's not it's not I don't think you try to.

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Speaker 1: I just think it's your go to selfie face. I

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Speaker 1: think it's me actually trying to uh or take the picture. Yeah,

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Speaker 1: and not like goofy, but that's like your that's your smile,

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Speaker 1: A goofy, that's your selfie face. I guess they posted

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Speaker 1: a photo of Princess Flora meeting Cinderella. Love that anyway,

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Speaker 1: Just thinking about Disney Studios ninety seven years ago. Mornings,

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Speaker 1: How are we doing? Good morning? You know it's good.

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Speaker 1: I've actually got to listen to some new music from Tiger,

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Speaker 1: believe it or not, really what like in the studio

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Speaker 1: break it down like not a nut his house, but yeah,

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Speaker 1: like and he's got some awesome collaborations. I don't even

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Speaker 1: know what I can say, but he's gonna be collaborating

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Speaker 1: with some amazing artists and new music from Tiger on

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Speaker 1: the way. And that's all I can say. But I

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Speaker 1: guess I can tell you about the experience, just like

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Speaker 1: how who invited you to do? What? And what you

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Speaker 1: get to do? What? It sounds like where were you in? Tyer?

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Speaker 1: Was there? Yeah? Okay, well that's what we want and

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Speaker 1: so you just like go in and you just chill

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Speaker 1: and you listen, go in where to the studios. It

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Speaker 1: was in Hollywood studio, like like the recording studio where

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Speaker 1: like to have like a bunch of different rooms and

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Speaker 1: other artists like, we're like Justin Bieber has recorded studio album.

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Speaker 1: We see a documentary that's where they're all exactly it's no, no, no.

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Speaker 1: It was the one in Hollywood, like off of Hollywood Boulevard.

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Speaker 1: So you like go and it's gated. You have to

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Speaker 1: buzz in. And do you think other artists were there

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Speaker 1: when you were there besides time? Probably? Yeah, like you

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Speaker 1: buzz and I was like, hey, I'm here for the

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Speaker 1: Tiger recording session and they're like, okay, you're on the list. Okay,

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Speaker 1: they let me in, parked the car going too. Tiger

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Speaker 1: plays on studio speakers to music. Uh. Then we waited.

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Speaker 1: He came in and he played it off his eye one.

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Speaker 1: It was already done. So yeah. So he was like

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Speaker 1: to have a few tracks. It was like him and

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Speaker 1: his manager and he played a few different tracks and

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Speaker 1: he was like, here, I have this one. I don't

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Speaker 1: know if I can say the artist that he hasn't,

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Speaker 1: so I don't want to say the names. But it

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Speaker 1: was one with a really huge artist that has a

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Speaker 1: hit song that we're playing right now on the radio,

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Speaker 1: So I feel like it could be good. And no,

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Speaker 1: I'm not gonna tell you guys. And uh, and there

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Speaker 1: was another one, David Ghetta. I'm not gonna tell you, guys,

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Speaker 1: so really good music on the way. I'm just gonna

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Speaker 1: leave it out. I'm not gonna tell you, guys. Really fun,

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Speaker 1: really fun night. I mean, that's a fun night. Dairy

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Speaker 1: free ice cream, Taco Tuesday ice cream with cookie. You

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Speaker 1: know what I want you to try. No, it's this

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Speaker 1: Persian ice cream. But I think you'd like it because

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Speaker 1: it's non dairy anything. Yeah, and it has rose water

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Speaker 1: in it. I don't like rose bruze water like springing

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Speaker 1: out like the flavor. I will tell you this though,

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Speaker 1: I had dairy of chocolate ice cream a few days ago.

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Speaker 1: It was a massive mistake. Isn't instant instant regret. It's

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Speaker 1: so not worth it to have. If you cut something

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Speaker 1: out and you put it back in, you'm not of gas.

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Speaker 1: You have under the sheets all night. It's like, it's problem.

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Speaker 1: Can I tell you something? I have cut out a lot,

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Speaker 1: not like a lot of dairy, but I can still

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Speaker 1: eat cheese but I can't eat ice cream dairy. Is

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Speaker 1: there a difference, Like I don't drink milk. I'm not

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Speaker 1: an apologist, but I think that, Uh yeah, maybe there's

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Speaker 1: a difference. Like cheese is okay, milk is not. Like

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Speaker 1: what aged cheese depends on the cond of cheese. Could

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Speaker 1: be sheep cheese, cow cheese, could be goat cheese. Also

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Speaker 1: depends on if it's aged cheese or not. Okay, So

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Speaker 1: like you can do like old parmesan, parm is fine. Yeah, yeah,

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Speaker 1: maybe that's what it is. But if I have some

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Speaker 1: ice cream, then you're right. I'm right there with you.

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Speaker 1: What do you care about dairy? You're with Tiger. Listen

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Speaker 1: to music offices the Tiger. It's Tiger, I said Tiger.

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Speaker 1: You said, you said Tiger. Actually give him a good feed.

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Speaker 1: I mean I said, no, you didn't. If you want

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Speaker 1: nick to, yeah, it was Tiger, And that was like

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Speaker 1: the second time you said it, so we had to

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Speaker 1: say something about Tiger. We're out listen to music last

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Speaker 1: night with Nikon vins in the other studio, who knows

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Speaker 1: working on their follow up. I guarantee that loves your

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Speaker 1: I mean it was viz Benz Vinzy so it's just

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Speaker 1: had a big night out with Tiger. Listen to new

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Speaker 1: music that's on the way soon with a with an

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Speaker 1: artist you can't tell us who it is, but with

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Speaker 1: a major artists we're playing right now that it's a

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Speaker 1: hit on our playlist. Yeah, and actually there's a sample

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Speaker 1: of a throwback song on there that you're gonna love Ryan,

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Speaker 1: and he wants to get another artist to sing on it,

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Speaker 1: and he was asking for our input of who that

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Speaker 1: artists should be, and so we were kind of going

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Speaker 1: through the list of who we thought and it was

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Speaker 1: really cool, kind of getting an opinion from Tiger, just

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Speaker 1: like who did you volunteer to be on the song

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Speaker 1: of which we know nothing about. We were throwing out

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Speaker 1: some names, like some female artists basically like anybody from

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Speaker 1: I don't know because I don't want to blow it.

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Speaker 1: I can't say the names a lot. You can't tell

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Speaker 1: us when you come back with just teas us dangle

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Speaker 1: in this character. No I can't. I can't. I can't

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Speaker 1: blow it, uh, because you won't be invited back. But

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Speaker 1: I thought it was really cool that he was asking

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Speaker 1: our opinion. Yeah, for sure, especially if you gave him

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Speaker 1: a name and then he ends up recording with that person. Yeah,

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Speaker 1: and he was like texting them right on the spot.

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Speaker 1: It was really cool. All right, Well, next time you

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Speaker 1: get invited, maybe we will come. I don't want time.

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Speaker 1: Was it though? The times you go to the studio

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Speaker 1: with Tiger? It was early six? Please? I can go six.

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Speaker 1: He's very punctual to anything of that. Seven you guys

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Speaker 1: can handle, but I'd do a five or six in

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Speaker 1: the studio. Um, Tony, I didn't get into your night.

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Speaker 1: I had dairy free ice cream is a big night

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Speaker 1: last night and watched an Adrian Brody movie. Um, yeah,

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Speaker 1: don't ask me. How do you know what I like

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Speaker 1: that guy? Yeah, good for you. I'm gonna watch that

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Speaker 1: movie a least half of it. What was your night

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Speaker 1: last night? So? I really missed my dog because I

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Speaker 1: was away from her for many many days. I've been

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Speaker 1: away from her for that long. So I spent the

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Speaker 1: night literally just like snipping her paws and eating tacos. Okay, Now,

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Speaker 1: is it true that you want to sort of, uh

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Speaker 1: what's the right word, like downsize your life, like minimalize

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Speaker 1: things that are going on in your life, not minimalize

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Speaker 1: the things that are Like I just want to become

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Speaker 1: a minimalist, because what do you think a minimalist is.

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Speaker 1: I want I want to be able to you look

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Speaker 1: into my closet and just have all my clothes on

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Speaker 1: a rack without having to like squeeze everything and like

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Speaker 1: push everything and have everything wedge. And I'm over it.

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Speaker 1: I do not like it. And because over time you

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Speaker 1: accumulate a bunch of things, and if you're like me,

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Speaker 1: I hate to part ways with it, like I just

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Speaker 1: continue to hang onto it. And I'm not a thing's gal,

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Speaker 1: Like I'm not a thing's gal. And I want to sweatshirts.

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Speaker 1: You want to sweatpants, You want one workout set? You

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Speaker 1: want one pair of ten? Do not one? Like yeah,

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Speaker 1: it's like two yeah, yeah, yeah too. So when one's dirty,

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Speaker 1: I have something else to wear and I don't need

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Speaker 1: In what other ways with this minimalist lifestyle, I like it.

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Speaker 1: I know I'm hoping that I'm not so um I

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Speaker 1: want to. I'm in the process of like purging, I'm

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Speaker 1: really really purging, getting rid of donating tons of stuff.

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Speaker 1: Like every time I get a you know, some flowers,

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Speaker 1: like a flower base, I save it. And so I

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Speaker 1: have an entire huge like in my kitchen, I have

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Speaker 1: all these flower bases that I don't ever use. I

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Speaker 1: should just don't them, take them back to the flower

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Speaker 1: shop and give them back. And yeah, I just actually

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Speaker 1: board it. Not only that, like I would give some

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Speaker 1: stuff away when you bring some things we can give

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Speaker 1: away on the air here, Like you have some good

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Speaker 1: stuff from the house that was yours, give it away

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Speaker 1: right here, called it one oh two's gonna want? I

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Speaker 1: don't know. I might give it away if I were

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Speaker 1: list want yeah, alright, or just put it out on

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Speaker 1: the curb free stuff. Someone takes it. Anytime I put

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Speaker 1: something out on in front of my house, it's gone.

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Speaker 1: I've seen people put toilets out. They disappear. They about

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Speaker 1: like the headspace I wanted. I just don't want to

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Speaker 1: be You want lack of clutter. I want lack of clutter,

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Speaker 1: and I want to be minimalist. But this is all

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Speaker 1: preparing you for the next step in your life, which

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Speaker 1: I see what you're trying to tell us, Like you

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Speaker 1: want to clean up the closet so that you and

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Speaker 1: Robbie can share one. That's what you're saying, because eventually

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Speaker 1: you're just gonna have double the clutter, right, so she

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Speaker 1: symbolically saying this is happening not Thanksgiving, but definitely before.

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Speaker 1: And you have all his clutter. And you know what's

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Speaker 1: worse than your clutter, his clutter gutter. I don't like

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Speaker 1: my cutter. It's easy for him, like he's it's so

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Speaker 1: easy for him to tell me to get rid of stuff,

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Speaker 1: and then it's the other way around, like he can't

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Speaker 1: get rid of his Michael and I moved together. He

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Speaker 1: had boxes of like rocks. I was like, what are these.

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Speaker 1: He's like the from like sixth grade camp and they're sentimental,

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Speaker 1: and I was like, Michael, you're not coming back to

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Speaker 1: fill in a sixth grade Well then this this rock

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Speaker 1: is from like when I studied in Spain, and rocks

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Speaker 1: are all so heavy they need to go. Michael, it's

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Speaker 1: not like paper airplanes. All right, listen, we can go

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Speaker 1: around in circles. I'm an advocate for your minimus life.

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Speaker 1: I'm an advocate for your engagement by summer. I'm an

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Speaker 1: advocate for your husband getting read of his rock collection.

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Speaker 1: He just stamps get rid of the rock your morning

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Speaker 1: hack and then a positive quote of the day to

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Speaker 1: get you in the right state of mind. So first, um,

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Speaker 1: most Sunday coming up. If you're having a party, you

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Speaker 1: probably are dreading going to store and getting supplies. Groceries

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Speaker 1: in general are just They're more than they were a

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Speaker 1: year ago, but a few things are less expensive than

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Speaker 1: a year ago. So stay within your party budget by

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Speaker 1: focusing on needs. Chicken wings are down. This said, I

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Speaker 1: love chicken wings. Chicken wings are down from a year ago.

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Speaker 1: Why I don't, I don't know. I don't know. I

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Speaker 1: have to do with the egg shortage. I don't know.

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Speaker 1: Maybe it seems like a weird I don't know the connection.

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Speaker 1: Avocados are down from a year ago, thanks for a

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Speaker 1: strong crop. Look at that. So that's great news. And

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Speaker 1: those are the two things that guacamole and chicken wings

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Speaker 1: are that for me, those are the two staples at

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Speaker 1: the center of the whole game. Chips are up, beer

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Speaker 1: is up. F y I so something else. I'm not either,

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Speaker 1: but something else in your qualk? Anybody know why wings

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Speaker 1: are up or down? The overall? The man because they

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Speaker 1: were too expensive. It was just explain to me why

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Speaker 1: they're down. But it's too complicated for me to They

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Speaker 1: were so expensive, people stop buying them and then yeah,

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Speaker 1: then you can just get out of the habit of

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Speaker 1: getting them all right. Today's quote, life rapidly gets better

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Speaker 1: once you expect less for others and you expect more

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Speaker 1: from you. Preach you, you is going to be on

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Speaker 1: the show today. So happy that shows back n Badsley Well.

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Speaker 1: President Joe Biden gave the annual State of the Union

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Speaker 1: addressed last night. The speech lasted seventy three minutes and

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Speaker 1: highlighted topics like the economy, the debt ceiling, Texas, reproductive rights,

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Speaker 1: and police reform. Guests like You Two's Bono and the

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Speaker 1: family of Tyrene Nichols were in attendance. Brandon Say the

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Speaker 1: men who stopped the Monterey Park mess shooter also got

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Speaker 1: to take part in a historical day in the US capital.

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Speaker 1: A new shot that could soon be available to protect

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Speaker 1: babies from r s V, a highly contagious respiratory disease

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Speaker 1: UH may soon be available. The single dose antibody still

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Speaker 1: needs FDA approval, but that could happen later this summer

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Speaker 1: make the drug available for babies up to twenty four

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Speaker 1: months old. And Laker star Lebron James is now the

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Speaker 1: NBA's all time leading scorer surpassing Kareem Abdul Jabbar James.

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Speaker 1: Now James. Kareem Abdul Jabar James made history in the

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Speaker 1: third quarter with a fade away bucket against the Oklahoma

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Speaker 1: City Thunder Now Tuesday night, in front of US sold

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Speaker 1: out Crypta dot Com arena. Could you imagine this? Were

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Speaker 1: you there last night? Were you there? Did you see this?

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Speaker 1: Eight hundred five to oh one two seven on air

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Speaker 1: with Ryan Seacrets Lebron James breaking the scoring record last night?

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Speaker 1: Have you ever been anywhere where history is made? Oh? Man,

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Speaker 1: I'm sure I have, And then now I can't even

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Speaker 1: think of it. I don't even know if I've ever

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Speaker 1: been to a sporting event on the night big history

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Speaker 1: like that was made. I don't think I have, not

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Speaker 1: like this, But I was at a Taylor Swift concert

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Speaker 1: where it was um like most concerts that she had,

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Speaker 1: I believe at Staples at Did they stop the concert

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Speaker 1: for ten minutes? Yeah, they did stop the concert and

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Speaker 1: they they revealed her banner and they had a banner

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Speaker 1: at this time. A right, Remember this is not dissimilar similar.

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Speaker 1: Brian is put this now right, it's crypto now, Brian,

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Speaker 1: I went this in l A this morning. So, Brian,

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Speaker 1: you were there to witness Lebron breaking the NBA scoring

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Speaker 1: record last night? Yeah, I was there. Ryan can break

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Speaker 1: through it and better morning to you since you witnessed

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Speaker 1: this in person. But walk me through what it was like.

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Speaker 1: So he breaks the record, then what happened inside Crypto?

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Speaker 1: I mean, I don't think I've ever heard the arena

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Speaker 1: that loud. I mean, it was just going everyone was

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Speaker 1: going wild. Everyone's phone was out. It was unbelievable. It

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Speaker 1: was almost like a like a concert, like everyone's phone

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Speaker 1: and flash was just onto that one second. Now, in

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Speaker 1: a moment like that, you're obligated to capture a great

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Speaker 1: or some great video. Did you do that? I surely did?

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Speaker 1: And who'd you send it to? First? Um, I've posted

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Speaker 1: it on my story first, and then after I had

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Speaker 1: to just send it to my parents just to say like, wow,

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Speaker 1: he did it, because they were they didn't think that

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Speaker 1: he would do it that night because he was saying, oh,

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Speaker 1: Kareem is from it played on Milwaukee and this and that.

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Speaker 1: But I knew he would do it. I mean, look

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Speaker 1: at your parents being so negative about Lebron. Come on, parents,

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Speaker 1: At what point in the game did it happen? It

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Speaker 1: happened in the third quarter, made quarter, and they stopped

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Speaker 1: the game about ten minutes. Yeah, made the spade away

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Speaker 1: jumper and why I was unbelievable. And then they stopped

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Speaker 1: the game and had a little uh celebration for him

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Speaker 1: and Kareem was there and it was really majestic. So

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Speaker 1: Brian there for that majestic moment. Now reality sets in.

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Speaker 1: Where do you have to go now this morning? Right now,

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Speaker 1: I'm currently on the way to school. Where do you

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Speaker 1: go to school? Bro? Uh? Using the riverside, have a

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Speaker 1: good day, good luck today? All right, thanks Brian, take

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Speaker 1: care than you got it. So did they have some

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Speaker 1: sort of countdown? Like did everybody know in the arena? Like, well,

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Speaker 1: Stephanie was there, Stephanie? Did they have a countdown? Ryan?

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Speaker 1: We did not have a countdown? I love you by

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Speaker 1: the way, Good morning you guys. Thank you. No countdown? Hey?

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Speaker 1: And you were there spirit, Ryan, because I know you're

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Speaker 1: l a all day. You know, being in Kobe's house

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Speaker 1: is always an honor. But last night was about Lebron

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Speaker 1: and I have mad respect. We all do. History was

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Speaker 1: made and to be a part of that was like

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Speaker 1: the previous guy said, he was majestic. It was incredible. Stefanitely,

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Speaker 1: where were you in the crypto arena? Like, what was

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Speaker 1: your view? Well, I have we have seen so PR twelve, Um,

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Speaker 1: so PR twelve row one in too, so not far behind.

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Speaker 1: We had a great view. Um it was electric. I

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Speaker 1: don't even know what to say, but like I said,

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Speaker 1: being in Kobe's house is always an honor and I

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Speaker 1: carry him all the time. But Lebron, we have you

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Speaker 1: have all our respect today. Man, well said Stephanie. Stephanie,

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Speaker 1: thank you very much for calling you. Take care, glad

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Speaker 1: you got to go see that in person. We need

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Speaker 1: good news in this world. You need good news in

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Speaker 1: this city. We need good news. This is a great

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Speaker 1: news story and to be there to see that. Has

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Speaker 1: you ever been at an event, sporting event and seen

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Speaker 1: history made? I was at a UFC Yeah, oh wow,

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Speaker 1: I expect Michael Bisping won the championship. Michael who bis

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Speaker 1: Michael Bisping? Yeah? He won which championship? The world championship? Yeah? Yeah,

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Speaker 1: the UFC heavyweight light heavyweight? And did you feel the

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Speaker 1: same way? Was it majestic? It was pretty all right?

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Speaker 1: A good news story of the day, right, there, Congratulations

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Speaker 1: can run and Lakers. Tanya Sissany Sissany, Tanya, Valentine's Days

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Speaker 1: six days away? Do you have your plans for Michael Sycany. Yeah,

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Speaker 1: we were actually just discussing it and we decided that

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Speaker 1: we're not going to go out and we're going to

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Speaker 1: stay home and cook some dinner and be with the

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Speaker 1: family from Valentine's Day. I like it. A lot of

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Speaker 1: my friends who have kids say they don't really worry

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Speaker 1: about Valentine's Day, like for themselves a couple, we're not

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Speaker 1: going to about the kids, and we get the kids

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Speaker 1: Valentine's they'll be your Valentine, all that fun thing. Yeah

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Speaker 1: I did. I did like cute little gift bags for

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Speaker 1: them there, so they're going to open up gifts and Tani,

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Speaker 1: do you need some ideas for me on how to

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Speaker 1: celebrate Valentine's Day? Are you covered? I'm covered, Thank you

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Speaker 1: so much. Gonna needs some you know, romantic pointers you

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Speaker 1: could reach out. I'm very creative when it comes to

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Speaker 1: little things on this idea. I don't want to say

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Speaker 1: my idea on the air because yeah, I was gonna

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Speaker 1: write like this little poem and then leave little clues

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Speaker 1: for her to be your Valentine or whatever. Isn't that

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Speaker 1: I knew I heard it somewhere. That's what you're doing.

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Speaker 1: I already did. It was really cute. Okay, we'll so see.

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Speaker 1: I asked him to be my Valentine. But that's not

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Speaker 1: Valentine's Day project. We're saying different. Correct. We're gonna cook.

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Speaker 1: Remember a while we're go way to Paris night, we

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Speaker 1: like cooked a tunny Swas salad together and we got

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Speaker 1: all like a little Paris candle and we decorated the

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Speaker 1: backyard with like red roses stuff like that. We're gonna

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Speaker 1: we did over the pandemic going to this time and

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Speaker 1: then we haven't decided yet, but we're going to do that.

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Speaker 1: Cook like a dish specific to that place, Morocco. I'll

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Speaker 1: throw it in the mix. What else is in the mix? Nothing?

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Speaker 1: So far? We haven't got you haven't gone to the

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Speaker 1: Orange County is in the mix? L A County and Morocco? Markesh,

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Speaker 1: all right? Uh you Lena Ramirez is on the line

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Speaker 1: here in Riverside, So you, Lena, listen to this. So

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Speaker 1: whether it's an intimate dinner or casual hang, you can't

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Speaker 1: go wrong with some fun and flirty drinks, they say

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Speaker 1: on Valentine's Day. Right, so no matter what you indulgent,

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Speaker 1: Yolena of Candy Cocktails and Riverside, you've got three Valentine's

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Speaker 1: Day cocktails and you're famous for this stuff on TikTok. Huh.

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Speaker 1: Yes I am. People really know us because um we

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Speaker 1: make really well uh cocktails. Um for our mixology classes.

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Speaker 1: So are you you're a bartender and mixologist? Yes, exactly,

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Speaker 1: and we also, um we do private events and then

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Speaker 1: we also host um mixology classes in our private bar

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Speaker 1: here in downtown Riverside, and um we teach people how

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Speaker 1: to make our signature cocktails and how to garnish the

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Speaker 1: way we garnish for our private events. Cool. So um mixology.

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Speaker 1: That's a class like in another life, it would be

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Speaker 1: great to take to learn. Be such a fun thing

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Speaker 1: to be able to entertain with your friends, your family. Yeah.

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Speaker 1: We have so many people that come alone to the

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Speaker 1: classes and they make friends in our mixology class. So

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Speaker 1: it's like a really cool, so full experience as well,

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Speaker 1: not only you're learning something, but you're getting to meet

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Speaker 1: new people. Are good cocktails do you'd recommend for a

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Speaker 1: fun date night at home of course. So for Valentine's

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Speaker 1: Day that's coming up, UM, I would suggest making a

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Speaker 1: classic mule, but adding strawberries to it, muddle it and

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Speaker 1: make it that nice red color and give it texture. UM.

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Speaker 1: If you're into tecula sours, I also recommend making a

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Speaker 1: pineapple tecuela surs. So you make a classic sour, but

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Speaker 1: you add some pineapple syrups. And we're really known for

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Speaker 1: our Mexican styled cocktails, so we use a lot of

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Speaker 1: authentic like flavors that UM reside with our culture. So

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Speaker 1: we make a BlackBerry um hamica margharita and it is amazing.

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Speaker 1: So you just make a classic margharita with tubiscus flower

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Speaker 1: and you muddle in some BlackBerry and it's delicious. Can

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Speaker 1: you tell me how to muddle? Yeah? So muddling is

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Speaker 1: pretty much breaking up a fruit into your cocktail shaker.

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Speaker 1: So typically you can um just throw in your fruit

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Speaker 1: and then shake your cocktail um shaker really well and

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Speaker 1: the eyes will break up and make the fruit into chunk.

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Speaker 1: There's also this muddler tool which is a stick and

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Speaker 1: you just break in um pretty much smash in your

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Speaker 1: fruit into your cocktail, mix within your shaker. It's actually

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Speaker 1: a really nice technique to get some texture into your cocktails.

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Speaker 1: That's muddling. It changes, the game doesn't change. Before we

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Speaker 1: let you go. I understand you have a Bad Bunny

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Speaker 1: theme mixology class later this month. What does that mean, Yolina? Yeah,

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Speaker 1: so pretty much, we're having a listening party for Bad

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Speaker 1: Bunny and then we are um making a tropical cocktails

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Speaker 1: for the entire class. So each student gets to learn

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Speaker 1: how to make three cocktails with us, and they are

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Speaker 1: all Bad Bunny themed and it's just going to be

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Speaker 1: a nice learning experience and something really fun. If you're

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Speaker 1: a Bad Bunny fan and everybody is at Candy Cocktails

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Speaker 1: on TikTok and Instagram and check it out Candy with

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Speaker 1: a k Elena Ramirez, thanks for the insight. That's really

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Speaker 1: good inspiration for Valentine'sday. You take care and continued success.

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Speaker 1: Thank you so much. Bye. I mean, how about your

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Speaker 1: job being teaching the Bad Bunny Theme exology class. That's

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Speaker 1: a great gig. All right, So how are we doing.

421
00:23:29,080 --> 00:23:31,040
Speaker 1: We made some bets earlier in the week about who's

422
00:23:31,080 --> 00:23:33,440
Speaker 1: going to get engaged. Nobody got engaged right in the

423
00:23:33,520 --> 00:23:37,639
Speaker 1: last one day. Hey, guys, listen. You know some of

424
00:23:37,640 --> 00:23:40,040
Speaker 1: these significant others might hear about this bet and want

425
00:23:40,040 --> 00:23:43,359
Speaker 1: to influence who wins. All right, Oh my goodness, I

426
00:23:43,400 --> 00:23:47,239
Speaker 1: hope not do that. Ruby's boyfriend could be hearing, like

427
00:23:47,280 --> 00:23:49,200
Speaker 1: who made what bet and want you to win versus me.

428
00:23:49,320 --> 00:23:53,440
Speaker 1: You don't know that's true, and I know Robbie has

429
00:23:53,640 --> 00:23:56,320
Speaker 1: if he's not listening as people, I'm gonna text Robbie.

430
00:23:56,320 --> 00:23:59,240
Speaker 1: I'm like, hey, Robbie, you didn't really come in for

431
00:23:59,359 --> 00:24:01,920
Speaker 1: me from that in the three months, I'm gonna bet

432
00:24:01,920 --> 00:24:04,080
Speaker 1: on Robbie's gonna come through for his brother versus you.

433
00:24:04,119 --> 00:24:07,440
Speaker 1: I'm just telling you now, he was gonna come through

434
00:24:07,520 --> 00:24:10,919
Speaker 1: for me before, but he's gonna come through for you always.

435
00:24:10,920 --> 00:24:17,440
Speaker 1: But it's gonna come through for yesterday. I mean, I

436
00:24:17,440 --> 00:24:20,520
Speaker 1: don't want to say it, but he's not wrong, all right.

437
00:24:20,800 --> 00:24:23,520
Speaker 1: So now let's just I was gonna do something else here,

438
00:24:23,520 --> 00:24:26,000
Speaker 1: but it seems to be. I love it when there's

439
00:24:26,040 --> 00:24:28,600
Speaker 1: a dilemma and we can give our input to any

440
00:24:28,600 --> 00:24:31,080
Speaker 1: of the staff here. So Mickaela, they tell me you

441
00:24:31,080 --> 00:24:35,359
Speaker 1: have a wedding dilemma, Yes, I do. So, as you

442
00:24:35,359 --> 00:24:37,560
Speaker 1: guys know, I'm single, I'm been single for a while,

443
00:24:37,640 --> 00:24:41,399
Speaker 1: and I have four weddings this year to family, two friends,

444
00:24:41,600 --> 00:24:45,520
Speaker 1: and over the weekend I was watching Holiday with Ma

445
00:24:45,640 --> 00:24:49,000
Speaker 1: Roberts and Bracy and they hire each other to like

446
00:24:49,200 --> 00:24:53,719
Speaker 1: be each other's dates for events. Should I take a

447
00:24:53,720 --> 00:24:55,760
Speaker 1: fake date to one of these weddings or my family

448
00:24:55,840 --> 00:24:59,639
Speaker 1: hire somebody? Or does a friend like to pretend to

449
00:24:59,680 --> 00:25:04,760
Speaker 1: be Why? Why do you want to do this? You

450
00:25:04,760 --> 00:25:07,920
Speaker 1: would the people at the wedding think that is your boyfriend? Yeah.

451
00:25:07,920 --> 00:25:10,560
Speaker 1: I'm so sick of just hearing people trying to set

452
00:25:10,600 --> 00:25:12,120
Speaker 1: you up. I don't know what's going on. How can

453
00:25:12,240 --> 00:25:15,600
Speaker 1: you can't meet a good guy? No, don't do it?

454
00:25:15,840 --> 00:25:19,680
Speaker 1: And wait a minute, could be Sam to the beach? Youo?

455
00:25:20,200 --> 00:25:24,080
Speaker 1: Weddings are yeah, and you don't want to meet somebody

456
00:25:24,119 --> 00:25:28,240
Speaker 1: out of at a family wedding. Not Antonia doesn't happen

457
00:25:28,400 --> 00:25:31,040
Speaker 1: quite like It doesn't happen like that. When I met

458
00:25:31,040 --> 00:25:34,000
Speaker 1: someone at Sisney's wedding, I dated after you didn't date him?

459
00:25:34,040 --> 00:25:37,320
Speaker 1: You went on one date? No, we went on multiple dates.

460
00:25:39,560 --> 00:25:41,120
Speaker 1: Not end up with him, but I still dated him.

461
00:25:41,560 --> 00:25:43,919
Speaker 1: I think it's not a bad idea because I have

462
00:25:44,000 --> 00:25:46,560
Speaker 1: been in a situation where my family's asking me questions

463
00:25:46,600 --> 00:25:50,200
Speaker 1: about when are you getting married? Well, I'm not that

464
00:25:50,359 --> 00:25:55,800
Speaker 1: silence is them, you know, But like, but I I

465
00:25:55,960 --> 00:26:00,320
Speaker 1: understand the frustration level of family or friends nag king

466
00:26:00,920 --> 00:26:04,480
Speaker 1: about something. I have a group of guy friends. Honestly,

467
00:26:04,520 --> 00:26:06,440
Speaker 1: there's so much fun, so I feel like they'd be down,

468
00:26:06,840 --> 00:26:08,679
Speaker 1: one of them would be down. How far would you

469
00:26:08,720 --> 00:26:12,640
Speaker 1: take this role? And I'm using air quotes for a role. Well,

470
00:26:12,680 --> 00:26:14,280
Speaker 1: I don't see my family a lot since they live

471
00:26:14,280 --> 00:26:16,400
Speaker 1: on the East Coast, so I feel like I wouldn't

472
00:26:16,440 --> 00:26:19,199
Speaker 1: have to. She's saying, would you take one of these

473
00:26:19,240 --> 00:26:22,320
Speaker 1: fun guy friends and end up? Are they gonna That's

474
00:26:22,320 --> 00:26:23,720
Speaker 1: what I'm saying. Are they gonna step up? Like? Are

475
00:26:23,720 --> 00:26:25,760
Speaker 1: you guys gonna be dancing together? Is he gonna like

476
00:26:25,920 --> 00:26:27,560
Speaker 1: is he gonna make it look like he's gonna be

477
00:26:27,560 --> 00:26:29,280
Speaker 1: holding your hand? Like is he gonna look like he's

478
00:26:29,320 --> 00:26:31,480
Speaker 1: your boyfriend? Or is he gonna kiss you? Like all

479
00:26:31,480 --> 00:26:33,760
Speaker 1: those things about kissing. But I think that they could

480
00:26:33,760 --> 00:26:35,399
Speaker 1: play the role. Yeah, they're like, well, do you want

481
00:26:35,440 --> 00:26:37,320
Speaker 1: them to play the role of your boyfriend? That's what

482
00:26:37,320 --> 00:26:43,159
Speaker 1: I'm saying. No, but like really in real life, like

483
00:26:41,960 --> 00:26:45,600
Speaker 1: maybe this is the way this is. That's what I'm saying,

484
00:26:45,600 --> 00:26:48,880
Speaker 1: and then you're there, and then you're kind and then

485
00:26:48,960 --> 00:26:51,399
Speaker 1: you're kind of buzzed, and then like maybe it actually

486
00:26:51,480 --> 00:26:54,560
Speaker 1: ends up being great idea. I never thought of my

487
00:26:54,720 --> 00:26:58,560
Speaker 1: guy friends like that, but I guess maybe that's how

488
00:26:58,600 --> 00:27:05,840
Speaker 1: everybody starts. That's how everybody start off. Everything's deliberate, and

489
00:27:05,880 --> 00:27:11,600
Speaker 1: this out it begins for everyone started. I think it's

490
00:27:11,600 --> 00:27:13,000
Speaker 1: a great idea. And if you've got a guy that's

491
00:27:13,000 --> 00:27:14,440
Speaker 1: a friend of yours, it's down to do it. It'll

492
00:27:14,440 --> 00:27:16,440
Speaker 1: make the night so much more fun rather than listen

493
00:27:16,480 --> 00:27:20,040
Speaker 1: to people ask you a questions. No, I'm out, and

494
00:27:20,040 --> 00:27:21,679
Speaker 1: then you guys just to get like a little buzz

495
00:27:21,800 --> 00:27:24,480
Speaker 1: dance the night away and see what happens. Amazing, Okay,

496
00:27:24,520 --> 00:27:29,040
Speaker 1: I'm doing it perfect still still for me. But she's

497
00:27:29,040 --> 00:27:31,920
Speaker 1: like she's in a different world. What if you walk

498
00:27:31,960 --> 00:27:34,040
Speaker 1: in and you see someone that's like super hot and

499
00:27:34,080 --> 00:27:35,680
Speaker 1: then you have to pretend to have a boyfriend and

500
00:27:35,720 --> 00:27:40,080
Speaker 1: then there's like a single hot issue. No, she understands

501
00:27:40,080 --> 00:27:43,360
Speaker 1: this one. You have to pretend to be anything. She's

502
00:27:43,359 --> 00:27:45,679
Speaker 1: with her boyfriend friend friends. She can go hang und

503
00:27:45,680 --> 00:27:48,639
Speaker 1: of the guy. Everyone will be fine, all right, Michael,

504
00:27:48,720 --> 00:27:51,760
Speaker 1: thank you for bringing this down had very clear direction

505
00:27:51,840 --> 00:27:56,560
Speaker 1: for you. Thank you, Ah, what is with you? And

506
00:27:56,600 --> 00:27:58,760
Speaker 1: like everything has to be this way? Tony? Right now?

507
00:27:59,000 --> 00:28:01,160
Speaker 1: What do you mean that's how everybody meets. You started

508
00:28:01,160 --> 00:28:02,879
Speaker 1: out as friends. Now you start out as strangers. We

509
00:28:02,880 --> 00:28:05,080
Speaker 1: all start out as strangers. Isn't that a beautiful thing?

510
00:28:05,119 --> 00:28:08,080
Speaker 1: Think about it? Well, then some of us start out

511
00:28:08,080 --> 00:28:11,840
Speaker 1: as friends. This has a beautiful and yell at me

512
00:28:11,880 --> 00:28:18,640
Speaker 1: to think about. She's always yelling. So off coffee. We'll

513
00:28:18,720 --> 00:28:30,320
Speaker 1: drink it and drink it fast. Help us On air

514
00:28:31,160 --> 00:28:35,920
Speaker 1: with Ryan Seacrest, We're bringing Penn Badgeley Pen. It's Ryan.

515
00:28:35,960 --> 00:28:38,240
Speaker 1: How are you? I'm good? How are you? Man? Good

516
00:28:38,280 --> 00:28:39,960
Speaker 1: to see I'm doing well things. I was just watching

517
00:28:40,000 --> 00:28:44,840
Speaker 1: some of your most popular TikTok's here, um a whole

518
00:28:44,880 --> 00:28:47,960
Speaker 1: seven of them to choose from the anti hero one

519
00:28:48,080 --> 00:28:51,400
Speaker 1: is is very good. I like that. I don't know

520
00:28:51,400 --> 00:28:54,440
Speaker 1: whose apartment you're in, but I like the whole vibe

521
00:28:54,600 --> 00:28:57,360
Speaker 1: that is. Uh, Sophie and David and sorry, who are

522
00:28:57,400 --> 00:29:01,840
Speaker 1: my co hosts and producer on my podcasts? Were doing that? Now?

523
00:29:02,120 --> 00:29:04,160
Speaker 1: I live in New York? Got it? Well? It's great

524
00:29:04,200 --> 00:29:06,960
Speaker 1: to have you on. Congratulations on all this success we

525
00:29:07,080 --> 00:29:10,520
Speaker 1: are having a big debate about you because, um, I

526
00:29:10,560 --> 00:29:16,440
Speaker 1: have watched season one, okay, and then I have to

527
00:29:16,440 --> 00:29:20,240
Speaker 1: admit that I didn't. I didn't finish season two. Totally fair.

528
00:29:20,560 --> 00:29:24,760
Speaker 1: But everybody has then in my life starts saying have

529
00:29:24,920 --> 00:29:27,440
Speaker 1: you seen you? Have you seen you? And I don't

530
00:29:27,520 --> 00:29:30,600
Speaker 1: know if I can't jump ahead? Can I can't just

531
00:29:30,680 --> 00:29:34,440
Speaker 1: start with a new season? Would that be detrimental to

532
00:29:34,480 --> 00:29:37,880
Speaker 1: my experience? Okay, I'm gonna go ahead and say try

533
00:29:37,920 --> 00:29:41,800
Speaker 1: if if if, if you reflective of any of your listeners,

534
00:29:42,440 --> 00:29:46,400
Speaker 1: I would say, if you don't want to catch up,

535
00:29:46,680 --> 00:29:48,480
Speaker 1: you could try, you could try. Because, by the way,

536
00:29:48,520 --> 00:29:53,479
Speaker 1: at the beginning of every season almost recapp It's like

537
00:29:53,720 --> 00:29:57,280
Speaker 1: it's like and we do special recaps. I've rerecorded recaps

538
00:29:57,800 --> 00:30:02,840
Speaker 1: almost as many times. We're we're a recap dependent show

539
00:30:02,880 --> 00:30:04,600
Speaker 1: because a lot happens. So I would say you could

540
00:30:04,680 --> 00:30:07,480
Speaker 1: jump in. I would say, probably you could jump in, okay,

541
00:30:07,600 --> 00:30:09,640
Speaker 1: because I really am. And it's something that we can

542
00:30:09,680 --> 00:30:11,680
Speaker 1: all talk about because we're at different stages of the

543
00:30:11,760 --> 00:30:14,000
Speaker 1: series here. But pen it is actually prob about the recap.

544
00:30:14,000 --> 00:30:16,600
Speaker 1: I think whoever edits the recap is these are genius

545
00:30:16,640 --> 00:30:19,440
Speaker 1: people on the planet. They can put together seasons by

546
00:30:19,480 --> 00:30:23,640
Speaker 1: lines very much. No, I mean, the only thing I

547
00:30:23,680 --> 00:30:28,400
Speaker 1: think you're losing is Season four is a legitimate departure.

548
00:30:28,440 --> 00:30:30,120
Speaker 1: I mean it's even a bit of a different genre.

549
00:30:30,240 --> 00:30:32,680
Speaker 1: It's in this you've done it in so parts one

550
00:30:32,680 --> 00:30:35,800
Speaker 1: and two are very different, and you know, I can't

551
00:30:35,920 --> 00:30:40,840
Speaker 1: spoil anything. People are very upset, but there is enough

552
00:30:40,840 --> 00:30:43,400
Speaker 1: of a departure that I think you the only thing

553
00:30:43,440 --> 00:30:46,880
Speaker 1: that you wouldn't be getting, really, um, is just an

554
00:30:46,880 --> 00:30:49,880
Speaker 1: appreciation for like how it feels different, you know what

555
00:30:49,960 --> 00:30:52,160
Speaker 1: I mean. That's that's really it. Everything else can be

556
00:30:52,160 --> 00:30:54,280
Speaker 1: caught up on. Now. Penn Badgeley is here. I want

557
00:30:54,280 --> 00:30:57,160
Speaker 1: you to meet Tanya. Tanya also she has another issue,

558
00:30:57,160 --> 00:31:01,720
Speaker 1: which is she can't separate like fiction reality, So she

559
00:31:01,840 --> 00:31:04,560
Speaker 1: knows your Penn badgically, but she can't separate you from

560
00:31:04,600 --> 00:31:08,680
Speaker 1: the character. Yeah. Well, um, I don't know that I

561
00:31:08,680 --> 00:31:11,080
Speaker 1: can help you with that. No, it's no, it's really

562
00:31:11,120 --> 00:31:15,360
Speaker 1: weird because your character is like truly terrifying me, like

563
00:31:15,440 --> 00:31:18,760
Speaker 1: truly terrifies me. But I'm so obsessed with you, like

564
00:31:19,280 --> 00:31:22,000
Speaker 1: you Penn Badgley, So it's like this weird thing going

565
00:31:22,080 --> 00:31:24,880
Speaker 1: on where I'm like obsessed with you, but I'm also

566
00:31:25,000 --> 00:31:28,120
Speaker 1: terrified of you at the same time. It's like you

567
00:31:28,160 --> 00:31:32,040
Speaker 1: are Beck and Joe at the same time, isn't it. Basically, yes,

568
00:31:33,240 --> 00:31:37,360
Speaker 1: you're in your own glass box. Correct. It looks a

569
00:31:37,400 --> 00:31:39,800
Speaker 1: weird place to be. Let me tell you. I think

570
00:31:39,840 --> 00:31:42,680
Speaker 1: all this though, meant to be complimentary because you do

571
00:31:42,760 --> 00:31:45,400
Speaker 1: such a great job in this series and in this role.

572
00:31:46,000 --> 00:31:48,920
Speaker 1: What is it meant to you to see the success

573
00:31:48,960 --> 00:31:52,520
Speaker 1: of it and then the continued loyalty and growth of

574
00:31:52,600 --> 00:31:58,320
Speaker 1: the Viewershow Yeah, I mean we definitely tapped into something.

575
00:31:58,600 --> 00:32:02,000
Speaker 1: I guess that's that's That's what I trust. You know.

576
00:32:02,000 --> 00:32:05,760
Speaker 1: I've been pretty vocal about the reasons that playing Joe

577
00:32:05,840 --> 00:32:07,840
Speaker 1: was difficult, and you know why. I wasn't initially sure

578
00:32:07,840 --> 00:32:09,360
Speaker 1: I wanted to take the role. But I think over

579
00:32:09,440 --> 00:32:12,760
Speaker 1: time what I've seen is like, Wow, this is there's

580
00:32:12,800 --> 00:32:15,720
Speaker 1: something really worthwhile here. I mean, when I wasn't sure

581
00:32:15,880 --> 00:32:19,000
Speaker 1: if I wanted to take the role, the question I

582
00:32:19,040 --> 00:32:22,240
Speaker 1: asked Greg Berlanti, the co creator along with Sarah Gamble,

583
00:32:22,280 --> 00:32:23,640
Speaker 1: but I was just having a conversation with him at

584
00:32:23,640 --> 00:32:26,480
Speaker 1: this point. I talked to Sarah, I felt like I

585
00:32:26,520 --> 00:32:28,880
Speaker 1: understood it all, but I just wasn't sure, and he

586
00:32:28,920 --> 00:32:31,200
Speaker 1: was referring to the to the thing as a as

587
00:32:31,240 --> 00:32:34,200
Speaker 1: a love story, and I stopped him. I was like, man, well, okay,

588
00:32:34,320 --> 00:32:36,040
Speaker 1: I don't think this is a love story, but assuming

589
00:32:36,040 --> 00:32:39,000
Speaker 1: it did, what is it saying about love? And he

590
00:32:39,040 --> 00:32:44,280
Speaker 1: took this perfect dramatic pause and he said, I don't know,

591
00:32:44,320 --> 00:32:51,520
Speaker 1: but I think we'll discover that together. No, to some degree,

592
00:32:51,600 --> 00:32:54,320
Speaker 1: I think that really has played out. And it's been

593
00:32:54,400 --> 00:32:58,120
Speaker 1: that same thing with the show. Like some people think

594
00:32:58,120 --> 00:33:00,320
Speaker 1: of it as a cautionary tale or something, and they

595
00:33:00,360 --> 00:33:02,680
Speaker 1: and they really focus on the social media aspect and

596
00:33:02,800 --> 00:33:04,960
Speaker 1: think it and feel like it makes them, you know,

597
00:33:05,080 --> 00:33:08,360
Speaker 1: god forbid, like more paranoid and suspicious all this stuff.

598
00:33:08,720 --> 00:33:11,680
Speaker 1: Some people think of it as like I've heard people

599
00:33:11,720 --> 00:33:14,200
Speaker 1: who are in the realm of psychology saying they like

600
00:33:14,320 --> 00:33:17,800
Speaker 1: to watch a show and try and figure out every

601
00:33:17,840 --> 00:33:21,160
Speaker 1: possible diagnosis to Joe could have. I don't think it's

602
00:33:21,560 --> 00:33:23,800
Speaker 1: as much those things as much as it is a

603
00:33:24,360 --> 00:33:28,280
Speaker 1: It is a an exploration of the way we think

604
00:33:28,320 --> 00:33:30,920
Speaker 1: of love and tell stories around love. Because if you

605
00:33:31,000 --> 00:33:36,040
Speaker 1: take Joe as an archetype, he really is um He's

606
00:33:36,080 --> 00:33:39,920
Speaker 1: he's kind of like every man you've seen before. In

607
00:33:39,960 --> 00:33:42,400
Speaker 1: a way, that's what he is. He's following a lot

608
00:33:42,440 --> 00:33:45,240
Speaker 1: of the the same logic of the ideas of love

609
00:33:45,400 --> 00:33:49,920
Speaker 1: and and specifically relationship that that we've seen before. But

610
00:33:50,000 --> 00:33:52,160
Speaker 1: you realize, oh, that's not really an exchange, that's not

611
00:33:52,280 --> 00:33:56,440
Speaker 1: two people having autonomy. That's that's one person objectifying another

612
00:33:57,240 --> 00:34:01,680
Speaker 1: um and relegating them themselves to you know, discontent. But

613
00:34:01,720 --> 00:34:03,360
Speaker 1: this is the this is the challenge we have in

614
00:34:03,520 --> 00:34:08,240
Speaker 1: like relationships legitimately. So you know, I like that Penn

615
00:34:08,239 --> 00:34:11,799
Speaker 1: Badsley with US. Uh so do you find that when

616
00:34:11,800 --> 00:34:14,160
Speaker 1: you're out in the wild, you know, in public, that

617
00:34:14,320 --> 00:34:18,160
Speaker 1: people are asking all kinds of questions and want to

618
00:34:18,280 --> 00:34:24,000
Speaker 1: you to explain things. Um, actually no, no, no, they

619
00:34:24,040 --> 00:34:29,440
Speaker 1: I feel like I get a lot of you or

620
00:34:29,480 --> 00:34:32,399
Speaker 1: you know, like the general sort of like fandom thing,

621
00:34:32,480 --> 00:34:37,760
Speaker 1: which which can range anywhere from complimentary to uh, really

622
00:34:37,800 --> 00:34:44,000
Speaker 1: strange something A lot of questions in that way that

623
00:34:44,000 --> 00:34:46,080
Speaker 1: would that would be kind of interesting. I like that idea.

624
00:34:46,520 --> 00:34:48,799
Speaker 1: I mean, you can you give some thoughtful insight to it?

625
00:34:49,280 --> 00:34:51,920
Speaker 1: All right? You can watch part one of season four

626
00:34:52,360 --> 00:34:54,799
Speaker 1: of US during on Netflix tomorrow in part two on

627
00:34:54,920 --> 00:34:57,279
Speaker 1: March night. There's so many things we could say about

628
00:34:57,320 --> 00:34:59,359
Speaker 1: what's happened so far, but that would just upset too

629
00:34:59,360 --> 00:35:04,200
Speaker 1: many people the way. Um, your podcast pod crushed. Congratulations,

630
00:35:04,239 --> 00:35:07,359
Speaker 1: were looking at the numbers there. That's doing really well man,

631
00:35:07,480 --> 00:35:09,960
Speaker 1: Thank you. Yeah, no, I mean it's really interesting. We're

632
00:35:10,400 --> 00:35:15,279
Speaker 1: entering into season two shortly, we're recording for that and um, yeah,

633
00:35:15,360 --> 00:35:17,080
Speaker 1: I mean, you know what's cool is that everybody has

634
00:35:17,080 --> 00:35:19,720
Speaker 1: a middle school story. Everybody has one that ranges anywhere

635
00:35:19,800 --> 00:35:22,359
Speaker 1: from sort of fun. Sometimes it can be quite deep

636
00:35:22,400 --> 00:35:24,560
Speaker 1: and almost tragic, but it's but it's a time of

637
00:35:24,600 --> 00:35:30,040
Speaker 1: life that everybody can recall with usually some kind of

638
00:35:30,400 --> 00:35:33,480
Speaker 1: some kind of pain and cringe and you know, and

639
00:35:33,480 --> 00:35:36,600
Speaker 1: and there are those stories are portal to all different

640
00:35:36,640 --> 00:35:38,799
Speaker 1: kinds of conversation with our guests, so it's you know,

641
00:35:38,880 --> 00:35:41,000
Speaker 1: it's a it's a fun ride for the time being. Yeah,

642
00:35:41,000 --> 00:35:42,440
Speaker 1: I think you're looking at two people that had some

643
00:35:42,520 --> 00:35:47,840
Speaker 1: middle schools struggles right that we'll live with us forever. Um, congratulations,

644
00:35:47,840 --> 00:35:52,239
Speaker 1: Penn Badgeley. Check it all out on Netflix tomorrow, Part two,

645
00:35:52,320 --> 00:35:55,520
Speaker 1: March nine, Pen, appreciate you coming on. Thank you for

646
00:35:55,560 --> 00:36:04,680
Speaker 1: having me, Ryan Seacrest here with you in the morning.

647
00:36:05,160 --> 00:36:09,680
Speaker 1: Sissany and Tanya. Guys, Uh, let's talk about it. This

648
00:36:09,760 --> 00:36:12,480
Speaker 1: is um It's a new app that's the fastest growing

649
00:36:12,480 --> 00:36:15,239
Speaker 1: app of all time, because any other app you have

650
00:36:15,440 --> 00:36:17,560
Speaker 1: did not grow as fast as this is growing now.

651
00:36:17,920 --> 00:36:21,960
Speaker 1: It's called chat GPT. I don't know anything about it,

652
00:36:22,360 --> 00:36:25,920
Speaker 1: do you, Sissy. I do only because I was told

653
00:36:25,920 --> 00:36:28,319
Speaker 1: about it and then I started messing around with it

654
00:36:28,440 --> 00:36:34,439
Speaker 1: last night, and then I was like, so, it's an

655
00:36:34,480 --> 00:36:38,719
Speaker 1: AI chat bought. I guess you can call it like

656
00:36:38,719 --> 00:36:40,799
Speaker 1: an AI chat out prototype that the Internet is kind

657
00:36:40,800 --> 00:36:43,359
Speaker 1: of obsessed about right now. And if you have no

658
00:36:43,440 --> 00:36:45,520
Speaker 1: idea what I'm talking about, I will break it down

659
00:36:46,040 --> 00:36:51,680
Speaker 1: as simple as possible. So chat GPT the interface is

660
00:36:51,840 --> 00:36:54,960
Speaker 1: very simple and I actually played around with it on

661
00:36:55,000 --> 00:36:57,560
Speaker 1: my computer. Hold on, what does it do? Like? Why

662
00:36:57,600 --> 00:37:01,560
Speaker 1: would I open it? Right? It's kind of Google on steroids.

663
00:37:02,120 --> 00:37:06,799
Speaker 1: So it's a search engine, but it's more like, uh,

664
00:37:06,840 --> 00:37:12,000
Speaker 1: it's it's more like a so I used it last

665
00:37:12,120 --> 00:37:15,920
Speaker 1: night too, so you can explain stuff to you. It

666
00:37:15,960 --> 00:37:19,080
Speaker 1: can write poetry. It can you can program it too

667
00:37:19,840 --> 00:37:23,319
Speaker 1: to explain and write a new episode of Seinfeld if

668
00:37:23,320 --> 00:37:26,160
Speaker 1: you want to wait time that people are the people

669
00:37:26,280 --> 00:37:29,440
Speaker 1: using this to like write their resumes and stuff exactly,

670
00:37:29,440 --> 00:37:32,759
Speaker 1: and people are using it to plagiarize essays, and that's

671
00:37:32,760 --> 00:37:36,720
Speaker 1: why some teachers and school administrators are trying to find

672
00:37:36,719 --> 00:37:39,879
Speaker 1: ways to maybe ban it from schools or figure out

673
00:37:40,080 --> 00:37:43,520
Speaker 1: if kids and students are using this to write essays,

674
00:37:43,960 --> 00:37:49,400
Speaker 1: because it is that smart of an AI conversation that

675
00:37:49,440 --> 00:37:51,759
Speaker 1: I need translated completely so you can go into this

676
00:37:51,800 --> 00:37:54,760
Speaker 1: boxing you say, explain how the solar system was made,

677
00:37:55,360 --> 00:37:57,600
Speaker 1: and then there's you will give you. It will give

678
00:37:57,640 --> 00:37:59,880
Speaker 1: it to you like an essay for like it do

679
00:38:00,040 --> 00:38:02,319
Speaker 1: your homework for you. So like essentially you're applying to

680
00:38:02,400 --> 00:38:05,520
Speaker 1: colleges and you have like an essay prompt, you can

681
00:38:05,560 --> 00:38:07,120
Speaker 1: type that essay prompt in and it will give you

682
00:38:07,160 --> 00:38:10,520
Speaker 1: a full blown essay to turn into your college or whatever.

683
00:38:10,760 --> 00:38:13,560
Speaker 1: Google was trying to develop this same kind of technology

684
00:38:13,680 --> 00:38:17,000
Speaker 1: and they had a red alert yesterday about it. Not yesterday,

685
00:38:17,040 --> 00:38:20,840
Speaker 1: but they definitely have been. Yeah, this this app was

686
00:38:21,760 --> 00:38:26,200
Speaker 1: made public back in November and it has it has

687
00:38:26,239 --> 00:38:29,480
Speaker 1: been growing cat gpt tubs. Could you explain it to me?

688
00:38:30,880 --> 00:38:33,080
Speaker 1: I still don't really, David Alvarez, could you explain it

689
00:38:33,080 --> 00:38:36,280
Speaker 1: to me? Did I not explain it to you? Yeah?

690
00:38:36,960 --> 00:38:39,280
Speaker 1: Did I not. What did she say? I don't understand

691
00:38:39,320 --> 00:38:44,600
Speaker 1: any of that can generate anything. You AI generated search,

692
00:38:45,200 --> 00:38:48,480
Speaker 1: you can have a conversation with it. Whatever motivates you.

693
00:38:48,560 --> 00:38:50,799
Speaker 1: So give me. I have it open right now. Let's

694
00:38:50,800 --> 00:38:52,520
Speaker 1: put that. No, No, let's put this into Ryan terms,

695
00:38:52,560 --> 00:38:56,760
Speaker 1: like Ryan, what's something in California? No? Me like something

696
00:38:57,000 --> 00:39:01,160
Speaker 1: that's just like a Google search? Do you have any home? Do? When?

697
00:39:01,200 --> 00:39:04,839
Speaker 1: When were the benefits of olive oil discovered? When were

698
00:39:04,960 --> 00:39:08,480
Speaker 1: the benefits of olive oil discovered? And would write a

699
00:39:08,520 --> 00:39:17,160
Speaker 1: whole essay oil discovered? It is thinking. The benefits of

700
00:39:17,200 --> 00:39:20,360
Speaker 1: olive oil have been recognized since ancient times, with evidence

701
00:39:20,520 --> 00:39:24,600
Speaker 1: of its used dating back to the Mediterranean civilizations of Greece, Rome,

702
00:39:24,640 --> 00:39:27,520
Speaker 1: and Egypt over four thousand years ago. The civilization's value

703
00:39:27,560 --> 00:39:31,360
Speaker 1: olive oil for its culinary and medicinal properties, using it

704
00:39:31,400 --> 00:39:35,400
Speaker 1: for cooking, skincare, and thou years later. That's what I'm preaching. No,

705
00:39:35,680 --> 00:39:37,759
Speaker 1: let's say you had to give a presentation. Let's say

706
00:39:37,760 --> 00:39:42,040
Speaker 1: you were making and you let's say you were for

707
00:39:42,360 --> 00:39:44,680
Speaker 1: Let's say you were making a presentation because you wanted

708
00:39:44,680 --> 00:39:46,160
Speaker 1: to make your own olive oil, and you had to

709
00:39:46,239 --> 00:39:47,880
Speaker 1: you had to pitch it to investors, and you had

710
00:39:47,920 --> 00:39:49,400
Speaker 1: to make a I don't even know what you A

711
00:39:49,480 --> 00:39:52,640
Speaker 1: sheet that you make writes a present from yes, exactly.

712
00:39:52,760 --> 00:39:55,239
Speaker 1: So it's nothing to use internally personally. It's all for

713
00:39:55,400 --> 00:40:00,120
Speaker 1: outward presentation, studies, school reporting. That's what most people are

714
00:40:00,200 --> 00:40:04,320
Speaker 1: using it for. It was more linky, I feel alright.

715
00:40:04,360 --> 00:40:06,320
Speaker 1: So it gives you options to link, whereas chat, g

716
00:40:06,520 --> 00:40:09,799
Speaker 1: P T there's here. This is like an answer. Give

717
00:40:09,960 --> 00:40:13,680
Speaker 1: an answer simplifies. It simplifies, well, I like it. You

718
00:40:13,719 --> 00:40:16,840
Speaker 1: want to ask of something else? Yeah, like a robot.

719
00:40:17,320 --> 00:40:19,319
Speaker 1: Let's see what else do we want to know? Will

720
00:40:19,360 --> 00:40:22,440
Speaker 1: I get married? Yes? Or no? Will I get married?

721
00:40:22,520 --> 00:40:34,720
Speaker 1: Will Ryan Seacrest get married? Fortune teller? Like magic eight ball? Okay? Cut?

722
00:40:34,760 --> 00:40:38,840
Speaker 1: What was it saying? I have an AI language model

723
00:40:38,880 --> 00:40:41,240
Speaker 1: and do not have the ability to predict personal events

724
00:40:41,239 --> 00:40:44,240
Speaker 1: such as marriages. Ryan Seacrest is a well known television

725
00:40:44,239 --> 00:40:46,919
Speaker 1: and radio host, and any updates regarding his personal life,

726
00:40:46,920 --> 00:40:52,879
Speaker 1: including whether or not he gets married, would be public record. Wow,

727
00:40:52,920 --> 00:40:56,759
Speaker 1: this thing's quick. It is so I really could like

728
00:40:56,880 --> 00:41:01,680
Speaker 1: have a friend in this Yes? Is your friend? Huh?

729
00:41:02,280 --> 00:41:05,160
Speaker 1: What's the chat? Another reason not to leave my room?

730
00:41:05,200 --> 00:41:08,440
Speaker 1: All right? Guys coming up? Next Chat GPT the fastest

731
00:41:08,440 --> 00:41:10,840
Speaker 1: growing app. Everybody's gonna get it now and start playing

732
00:41:10,840 --> 00:41:13,080
Speaker 1: with asking a questions, using it for presentations. If we

733
00:41:13,120 --> 00:41:15,120
Speaker 1: had that in school forget about It. I actually stayed

734
00:41:15,120 --> 00:41:19,000
Speaker 1: in get about It. But I think every will to

735
00:41:19,040 --> 00:41:22,320
Speaker 1: an extent because then everybody will have the same type

736
00:41:22,320 --> 00:41:24,400
Speaker 1: of essay. You have to go in there and change

737
00:41:24,440 --> 00:41:29,719
Speaker 1: it all right, Wow, you could think the questions on

738
00:41:29,920 --> 00:41:35,080
Speaker 1: air with Ryan Seacrest. I mean, I tell you I

739
00:41:35,120 --> 00:41:38,920
Speaker 1: am looking at a lot of potential stardom here right.

740
00:41:39,320 --> 00:41:42,439
Speaker 1: I may be looking at two egots, but right now,

741
00:41:43,600 --> 00:41:45,160
Speaker 1: right now, I got Tanya could be up for a

742
00:41:45,239 --> 00:41:52,120
Speaker 1: Grammy ad Sunshine Mine book. Right the way we find

743
00:41:52,120 --> 00:41:55,080
Speaker 1: out this week about New York Times bestseller, I think

744
00:41:55,080 --> 00:41:58,239
Speaker 1: you're gonna be great. Yeah, that's great either way, it's

745
00:41:58,280 --> 00:42:01,879
Speaker 1: either way. It's fine. People Amazon, they recommend they buy

746
00:42:01,880 --> 00:42:04,839
Speaker 1: Spare and Sunshine Mine. Like that's a good sign. Get

747
00:42:04,840 --> 00:42:08,360
Speaker 1: them both. And then Sissony, she could win an oscar

748
00:42:08,880 --> 00:42:13,200
Speaker 1: because you were in need. And when we come back,

749
00:42:13,200 --> 00:42:16,200
Speaker 1: we're gonna talk about our big Christmas Eve special and

750
00:42:16,320 --> 00:42:23,520
Speaker 1: our five lucky opening guests there are in Harmony. She's

751
00:42:23,560 --> 00:42:26,719
Speaker 1: a big role in that as little as she SIY

752
00:42:27,200 --> 00:42:29,759
Speaker 1: so nice to meet you. Were so excited that you're here.

753
00:42:29,800 --> 00:42:32,880
Speaker 1: We all watched your tape, your song This is Christmas,

754
00:42:33,400 --> 00:42:36,960
Speaker 1: loved it. Thank you? So all right? The Hollywood big shooters,

755
00:42:37,000 --> 00:42:39,760
Speaker 1: they saw that and they offered you another role. Big shooters.

756
00:42:39,960 --> 00:42:45,880
Speaker 1: I do have a the industry, so they saw I

757
00:42:45,920 --> 00:42:47,160
Speaker 1: knew that they would see that because it was a

758
00:42:47,200 --> 00:42:49,239
Speaker 1: holiday movie. They're there with their family, like, who is

759
00:42:49,320 --> 00:42:53,160
Speaker 1: that shining star? Well, there is a theme here because

760
00:42:53,200 --> 00:42:58,960
Speaker 1: this next movie that I've very small rolling, it's called

761
00:42:59,040 --> 00:43:01,560
Speaker 1: Marry Mission, and it's another holiday movie which is going

762
00:43:01,600 --> 00:43:05,080
Speaker 1: to be out later this year. Mary Mission, Mary Mission.

763
00:43:05,239 --> 00:43:08,320
Speaker 1: What's Mary Mission about? I don't know much about it, honestly,

764
00:43:08,560 --> 00:43:10,880
Speaker 1: but it does have Dion Warwick in it, who plays

765
00:43:10,880 --> 00:43:15,480
Speaker 1: Grandma Evergreen. He's a legend. You're working with a legend winner, yes,

766
00:43:15,680 --> 00:43:22,560
Speaker 1: And Julia Michaels. Julie Michaels is a songwriting icon. Chevy

767
00:43:22,680 --> 00:43:26,640
Speaker 1: Chase is Santa. This is actually a big movie. This

768
00:43:26,719 --> 00:43:29,319
Speaker 1: is not just like going straight that. This is a

769
00:43:29,320 --> 00:43:33,719
Speaker 1: big movie. My role is small, but this going to

770
00:43:33,800 --> 00:43:36,399
Speaker 1: theaters very I have very little details of where it's

771
00:43:36,400 --> 00:43:39,000
Speaker 1: going to be. What did you play City I play no,

772
00:43:39,239 --> 00:43:44,160
Speaker 1: I have I play a tough girl. Wolf. I play

773
00:43:44,200 --> 00:43:47,760
Speaker 1: Wolf is an animated it's an animated movie. Yeah, somebody's

774
00:43:47,760 --> 00:43:56,600
Speaker 1: playing Santa Claus stay, That's that's true. But I went

775
00:43:56,719 --> 00:44:00,160
Speaker 1: a few actually, about about a month ago, I went

776
00:44:00,200 --> 00:44:03,280
Speaker 1: and recorded my lines and it was my first Exertrade

777
00:44:03,480 --> 00:44:07,600
Speaker 1: Chevy Chase, Dion Warwick and Julian Michael's in the Hollywood

778
00:44:07,600 --> 00:44:13,879
Speaker 1: adaptation of Mary My mission, Mission Mission, Mary, Mary, Mission, Mary,

779
00:44:13,880 --> 00:44:17,640
Speaker 1: Mission right? And so here your wolf voice. Yeah, so

780
00:44:17,760 --> 00:44:19,680
Speaker 1: I when I went, I really didn't know what my

781
00:44:19,719 --> 00:44:21,960
Speaker 1: wolf voice was going to be, and I didn't want

782
00:44:22,000 --> 00:44:26,400
Speaker 1: to overdo it. I gave my one line probably eighty

783
00:44:26,440 --> 00:44:29,799
Speaker 1: different ways, and it was It's funny when they were

784
00:44:29,840 --> 00:44:32,239
Speaker 1: trying to tell me, do a little bit more like this,

785
00:44:32,400 --> 00:44:34,520
Speaker 1: or can you add a bark with that? And can you?

786
00:44:35,000 --> 00:44:36,680
Speaker 1: And so I did it a bunch of different ways,

787
00:44:36,719 --> 00:44:38,279
Speaker 1: and I don't I can. Do you want to know

788
00:44:38,280 --> 00:44:40,719
Speaker 1: what my line is because they still won't spoil the plot.

789
00:44:40,920 --> 00:44:44,520
Speaker 1: I guess right, So my line is, oh, you know,

790
00:44:45,480 --> 00:44:50,520
Speaker 1: just having fun and being naughty. That's it. That's my line.

791
00:44:50,920 --> 00:44:52,440
Speaker 1: That's all I say. You don't even know what you

792
00:44:52,480 --> 00:44:54,759
Speaker 1: were doing to be naughty. Just having fun and being

793
00:44:54,840 --> 00:44:57,839
Speaker 1: naughty sounds like a wolf to me when I close.

794
00:44:58,160 --> 00:45:01,640
Speaker 1: Then then the directors like, can you add a bark

795
00:45:01,760 --> 00:45:05,200
Speaker 1: in there? Let's see how directable you are? Go ahead,

796
00:45:07,680 --> 00:45:11,440
Speaker 1: does have fun and be naughty. Where's the bark she

797
00:45:11,520 --> 00:45:14,480
Speaker 1: did in the beginning? It could do it again, the

798
00:45:14,480 --> 00:45:19,279
Speaker 1: bark just having fun and being naughty. There's the growl there.

799
00:45:19,560 --> 00:45:22,720
Speaker 1: I prefer the no bark. Did they take the bark?

800
00:45:22,840 --> 00:45:24,799
Speaker 1: I don't know what they took, and actually I don't

801
00:45:24,800 --> 00:45:29,200
Speaker 1: even know if they'll make the cut. Um I Actually

802
00:45:29,520 --> 00:45:32,080
Speaker 1: I gotta tell you this hits home because I played

803
00:45:32,280 --> 00:45:37,160
Speaker 1: uh something Mrs butter Pants, no Mr No kid of

804
00:45:37,320 --> 00:45:40,840
Speaker 1: butter Pants. I played son of butter Pants, one of

805
00:45:40,840 --> 00:45:43,600
Speaker 1: the shreks. Yeah, I can't remember any of my line,

806
00:45:44,920 --> 00:45:48,040
Speaker 1: but you didn't. What was your line? It was? Who knows?

807
00:45:48,120 --> 00:45:51,839
Speaker 1: It was one of the shreks. Cute. I'm not here

808
00:45:51,840 --> 00:45:58,560
Speaker 1: to rein on your wolf parade here, so you had

809
00:45:58,560 --> 00:46:01,000
Speaker 1: a bark a roar? Look at the the our careers

810
00:46:01,000 --> 00:46:05,000
Speaker 1: are paralleling each other. Well, congratulations this movie I guess

811
00:46:05,080 --> 00:46:07,799
Speaker 1: coming out Christmas time. Christmas time, which is here before

812
00:46:07,800 --> 00:46:09,839
Speaker 1: we know it? Billy Ray silence and Freddie Prince. Your

813
00:46:09,880 --> 00:46:15,440
Speaker 1: are also co stars of in this movie. Alright, one

814
00:46:15,520 --> 00:46:18,120
Speaker 1: or two seven, Sophia and Hassi in the Heights. You

815
00:46:18,160 --> 00:46:20,200
Speaker 1: know we were talking earlier about the big news, you know,

816
00:46:20,880 --> 00:46:24,439
Speaker 1: some good news. Actually here in Los Angeles, Lebron break

817
00:46:24,440 --> 00:46:27,920
Speaker 1: in the NBA scoring record history made last night in

818
00:46:28,000 --> 00:46:32,240
Speaker 1: the third quarter he passed Laker legend Kareem Abdul Jabbar,

819
00:46:32,400 --> 00:46:37,239
Speaker 1: who was there and you were there too, Sophia, Huh yes, sir, yes,

820
00:46:38,280 --> 00:46:40,799
Speaker 1: walk me through. Was there any part of you that

821
00:46:40,800 --> 00:46:44,040
Speaker 1: almost didn't make it to the game last night? Well,

822
00:46:44,080 --> 00:46:46,600
Speaker 1: I was working as a bartender, so I was using

823
00:46:46,760 --> 00:46:49,279
Speaker 1: like my ice cross syed working with the customers and

824
00:46:49,440 --> 00:46:52,839
Speaker 1: looking at the game and my coworking first day working

825
00:46:52,880 --> 00:46:55,120
Speaker 1: as a bartenders to my coworker was like, don't have

826
00:46:55,160 --> 00:46:58,600
Speaker 1: your back to the customers. Where was your bar? Where

827
00:46:58,640 --> 00:47:01,959
Speaker 1: in Krypto was your bar? It was in the heights.

828
00:47:03,200 --> 00:47:04,839
Speaker 1: Oh you were wait. I was thinking you were in

829
00:47:04,880 --> 00:47:07,680
Speaker 1: the Crypto arena working at a bar. You were at

830
00:47:07,680 --> 00:47:09,279
Speaker 1: a bar and hot in the heights, working for the

831
00:47:09,320 --> 00:47:12,800
Speaker 1: first time. Couldn't even have my phone out to capture

832
00:47:12,840 --> 00:47:16,000
Speaker 1: the moment, just like captured it in my brain, got

833
00:47:16,040 --> 00:47:17,960
Speaker 1: it and what were people ordering to celebrate at the

834
00:47:18,000 --> 00:47:20,320
Speaker 1: barn Hassi and Heights lust night after Lebron broke the record.

835
00:47:21,920 --> 00:47:28,600
Speaker 1: They are ordering audiosis and I had, like every alcohol

836
00:47:28,800 --> 00:47:35,200
Speaker 1: that you do. I should just cut to an audios.

837
00:47:35,280 --> 00:47:38,680
Speaker 1: Then I ramp up, Look up, look up? What's in

838
00:47:38,680 --> 00:47:41,160
Speaker 1: an audio? What is in an audios? Your bartender, Sophia,

839
00:47:42,360 --> 00:47:44,239
Speaker 1: come on, it was my first day. It was. It's

840
00:47:44,280 --> 00:47:46,160
Speaker 1: a lot of shots though, it's like three shots in there.

841
00:47:46,760 --> 00:47:50,040
Speaker 1: All right, well, I'm glad you are with us this morning.

842
00:47:50,280 --> 00:47:51,839
Speaker 1: Thank you for called. Good luck with your new gig,

843
00:47:51,920 --> 00:47:54,319
Speaker 1: Sophia and Hassi and Heights. All right, so here's what's

844
00:47:54,360 --> 00:47:58,520
Speaker 1: in an audios? We're looking it up? Ho Founce vodka

845
00:47:58,640 --> 00:48:01,879
Speaker 1: ho Founce from half Found tequila, Halt Found Chin, Halt

846
00:48:01,880 --> 00:48:09,880
Speaker 1: Found Blue curosw Sprite or seven up. Are you kidding me? Headache?

847
00:48:10,000 --> 00:48:15,680
Speaker 1: That's what that is. Headache. That's a torture. That's just

848
00:48:15,719 --> 00:48:18,600
Speaker 1: too many of Like just pick your poison, pick one,

849
00:48:18,920 --> 00:48:21,080
Speaker 1: take a pick a path. You start mixing all that stuff.

850
00:48:21,080 --> 00:48:22,800
Speaker 1: You got a problem. That's gonna be a big problem.

851
00:48:23,400 --> 00:48:26,879
Speaker 1: Is a fun drunk jin is. I do not like jin.

852
00:48:28,200 --> 00:48:30,239
Speaker 1: I do not like jin It doesn't do with jin

853
00:48:30,320 --> 00:48:35,160
Speaker 1: Martini if someone makes it right Martini. Have you tried

854
00:48:35,200 --> 00:48:38,919
Speaker 1: a jin Martini though, like someone made it for you? Great? Yes,

855
00:48:38,960 --> 00:48:41,440
Speaker 1: I have tried a jin Martini, and I've realized that

856
00:48:41,480 --> 00:48:45,480
Speaker 1: I don't like jin adios um. All right, here's the

857
00:48:45,520 --> 00:48:52,359
Speaker 1: big moment, one on one against Kinrick Williams backing him

858
00:48:52,400 --> 00:49:04,840
Speaker 1: in turns Jen to gag alone from one letnic lacker

859
00:49:05,400 --> 00:49:10,400
Speaker 1: to another. The chen Lebron James has passed the captain

860
00:49:11,000 --> 00:49:16,359
Speaker 1: Kareem abdul Jabar, and Lebron now stands alone. That's the

861
00:49:16,480 --> 00:49:22,239
Speaker 1: NBA's all time leading score. Now, when he said young

862
00:49:22,320 --> 00:49:25,960
Speaker 1: and old gather around, I started taking well, which one

863
00:49:26,000 --> 00:49:28,560
Speaker 1: am I am? I? Am I the young gathering? Am

864
00:49:28,600 --> 00:49:31,359
Speaker 1: I the old gathering? Because you're the young? You were

865
00:49:31,360 --> 00:49:34,759
Speaker 1: the young gathering, right, young and our parents are the old. Right.

866
00:49:34,840 --> 00:49:37,399
Speaker 1: But he kind of like picturing young and old coming

867
00:49:37,480 --> 00:49:41,760
Speaker 1: up to the screen gathering. No offense to Kareem abdul Jabbar,

868
00:49:40,880 --> 00:49:46,680
Speaker 1: but sentence like that. Listen, he set the record. I

869
00:49:46,760 --> 00:49:48,839
Speaker 1: was that was the year I was born, So that

870
00:49:49,000 --> 00:49:52,959
Speaker 1: is in my definition. You know, you can't say ever,

871
00:49:53,640 --> 00:49:57,000
Speaker 1: there's no offense that. Just let me finish the sentence.

872
00:49:57,120 --> 00:50:01,520
Speaker 1: That's any sentence. When John Ireland, they're saying young and old,

873
00:50:01,719 --> 00:50:05,080
Speaker 1: no offense, but young and old. I think that when

874
00:50:05,120 --> 00:50:07,359
Speaker 1: you say no offense, you're about to offend somebody. That's

875
00:50:07,360 --> 00:50:10,239
Speaker 1: what and I did as I'm saying that, when you

876
00:50:10,280 --> 00:50:11,960
Speaker 1: have to divide the young and old, I feel like

877
00:50:12,040 --> 00:50:17,840
Speaker 1: that is the old. It's just how you feel, Okay.

878
00:50:17,880 --> 00:50:23,640
Speaker 1: Audios Um coming up next. We're talking about the Audios drink.

879
00:50:23,680 --> 00:50:25,560
Speaker 1: Everybody's settling with Audios's last name.