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Speaker 1: Hey, guys, welcome to another episode of Selective Ignorance. However,

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Speaker 1: before we get to this week's episode, I want to

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Speaker 1: remind you guys to purchase my book No Holds Barred,

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Speaker 1: a dual manifesto of sexual exploration and power. So feel

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Speaker 1: free to go to your local bookstores preferably queer owned,

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Speaker 1: black owned, or woman owned to support them, but also

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Speaker 1: just click the button on Amazon, Barnes and Nobles, or

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Speaker 1: wherever you read your books. Again. That is No Holds Barred,

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Speaker 1: a dual manifesto of sexual exploration and power, written by

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Speaker 1: yours truly and my co host of the Decisions Decisions podcast, Weezy.

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Speaker 1: Make sure y'all get that. Now let's get to this

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Speaker 1: week's episode. This is Mandy be. Welcome to Selective Ignorance,

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Speaker 1: a production of the Black Effect Podcast Network and Iart Radio.

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Speaker 1: All right, y'all, let's get into it. Welcome back to

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Speaker 1: another episode of Selective Ignorance. I'm your girl and your host,

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Speaker 1: Mandy B. And this is the show where we question everything,

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Speaker 1: and yes that includes your favorite talking points and your

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Speaker 1: out data as perspectives. But let me just say this

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Speaker 1: up top, a I is here, by the way, this

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Speaker 1: topic is a long time coming, because hello, AI is

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Speaker 1: what's happening. It's not coming, it's not creeping up. It's here,

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Speaker 1: and y'all can either deal with it or get left behind.

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Speaker 1: Because if you're out here flexing about not learning the tools,

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Speaker 1: talking about I don't need that robot mess, Oh my god,

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Speaker 1: I'm not using tat GPT. That mindset is the exact

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Speaker 1: reason you'll be out of work, out of relevance, and

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Speaker 1: out of touch. Now, let's be real. This wave of tech,

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Speaker 1: this AI revolution, it's very much giving Industrial Revolution two

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Speaker 1: point zero. Remember when machines came in and replaced human

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Speaker 1: labor on factory floors? Yep, same energy. People fought it

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Speaker 1: then too, cried about change, and guess what, The machines

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Speaker 1: kept coming and the world moved on. But here's the thing.

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Speaker 1: I'm not here to scare you. I'm here to wake

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Speaker 1: your ass up because AI it's doing some things better

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Speaker 1: than people tell me about.

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Speaker 2: It.

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Speaker 1: Just fired me niggas last week. More accurate, faster, no ego,

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Speaker 1: no lunch break. But don't get it twisted. It cannot

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Speaker 1: replace human depth, instinct, or soul, not yet anyway. I'm

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Speaker 1: waiting for it to I know y'all said, or y'all

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Speaker 1: have heard me say, I'm waiting for the aliens to come. Baby,

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Speaker 1: I am welcoming the robots. And I know y'all love

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Speaker 1: to say work smarter, not harder, but then turn around

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Speaker 1: and ignore the tools that would help you do just that.

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Speaker 1: Please make it make sense if you're not asking deeper

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Speaker 1: questions about what's being handed to you, what's being automated,

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Speaker 1: what's being filtered, what's being programmed, you're just blindly vibing

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Speaker 1: in the matrix. So as I've said, please question everything,

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Speaker 1: y'all know I do it, even in this episode. So first,

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Speaker 1: listen close. I'm joined today by my super producer Jason

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Speaker 1: and a King on the mic, and we're here to

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Speaker 1: talk all things AI. But what I really love is

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Speaker 1: when we have these episodes and we're also able to

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Speaker 1: like squeeze in some curn events. So we're gonna start

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Speaker 1: off the episode this week because but we're recording this

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Speaker 1: the day before y'all hear it, so we can kind

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Speaker 1: of talk about everything be hot, you know what I mean. Listen,

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Speaker 1: We're gonna talk about the t app in a little bit,

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Speaker 1: but I do want to first give an r I

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Speaker 1: p rest in peace to Malcolm Jamal Warner as well

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Speaker 1: as that's it.

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Speaker 3: I mean, we got to give space for Malcolm.

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Speaker 1: Okay, Okay, well, no, I'm not gonna lie that.

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Speaker 3: That was my r P was going.

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Speaker 1: You know, it's crazy that could here's the other the thing,

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Speaker 1: the other two Uh okay, the rock star in the wrestler. Okay,

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Speaker 1: here's what I'll say about that. And and and by

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Speaker 1: the way, condolences to the Warner family, to his daughter

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Speaker 1: that we we learned was there. It's weird because I

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Speaker 1: have such a pessimistic view on life that I'm constantly

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Speaker 1: like thinking about the end, which sucks because I also

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Speaker 1: am not in fear of the end, but I always

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Speaker 1: just wonder what life, how life would exist when I'm gone.

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Speaker 1: And to know that he was on a family vacation

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Speaker 1: and that took place like me and my friends travel

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Speaker 1: all the time, you know what I mean? What do

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Speaker 1: you mean allegedly, Well, there's.

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Speaker 3: A lot of stories that came out.

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Speaker 1: I don't like life, but I ain't gonna hold you, bro,

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Speaker 1: I ain't gonna hold you. We not going to go

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Speaker 1: no conspiracy theories. He was swimming, really, don't he was?

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Speaker 1: He was swimming on a morning swim with his daughter.

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Speaker 1: Surfers saved both of them. We're not going to.

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Speaker 3: But it was three other reports that we're.

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Speaker 1: Not We're not doing this. You know what's crazy? Let

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Speaker 1: me let me ask, y'all. Only because this is a

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Speaker 1: problematic thing that I know I do, but because it's

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Speaker 1: selective ignorance, I want to share it out loud. When

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Speaker 1: you see rip posts from people, do you ever go

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Speaker 1: into the comments, yes, to see how they died, because

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Speaker 1: you want to know just how it happened, Like, especially

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Speaker 1: if it's someone that you may not know, you want

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Speaker 1: to know, Okay, like what happened? Is that a thing

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Speaker 1: that y'all?

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Speaker 4: Absolutely, there's somebody in the comments section that's gonna go

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Speaker 4: above and beyond investigative reporting and they gonna dig for that.

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Speaker 3: Macha tea. You know what I'm saying.

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Speaker 4: It's not for real, just to see like it might

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Speaker 4: be some incomplete information there, and they might between the

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Speaker 4: time it was posted, and you're right, so I always do,

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Speaker 4: just to see it might be a name or some clarification.

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Speaker 1: Oh yeah, I like to go to their page and

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Speaker 1: see what their last post was. It's very it's weird.

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Speaker 2: Then we do that, it definitely have to go back

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Speaker 2: to their last post.

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Speaker 3: Ye see.

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Speaker 2: Yeah, what I also a little bugged out choose when

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Speaker 2: they passed and they still have like an ig story.

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Speaker 5: It's active.

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Speaker 1: I know. What I also find myself doing is because

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Speaker 1: there's always going to be that one. Here's the thing.

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Speaker 1: If you're listening, someone does not like you. You did

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Speaker 1: somebody wrong. And so sometimes there's the comments that talk

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Speaker 1: about how shitt he have a person? The person is

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Speaker 1: that past, and so I say that to lean into.

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Speaker 1: I didn't have any thoughts. Nothing in my body jumped

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Speaker 1: about Ozzie or Kogan. It just didn't. Ozzy Osbourne died

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Speaker 1: at what's seventy nine or something like that. Maybe think

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Speaker 1: you lucky you lived that long with the type of

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Speaker 1: life you had. You were a fucking rock star, taking

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Speaker 1: all the drugs, living the life, and like blood pressure

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Speaker 1: had to be high. I saw him yelling at his

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Speaker 1: kids for like my childhood like he was reality TV

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Speaker 1: was crazy. Is like before people were like, oh I

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Speaker 1: want a reality show like the Kardashians. Oh nah, my

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Speaker 1: house growing up was like the Osborne's like shout it

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Speaker 1: literally literally was was yelling at them kids like a motherfucker.

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Speaker 1: So to me, Ozzy dying, to me, that's a fulfilled life.

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Speaker 1: Like I don't I don't know if I look into

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Speaker 1: or think about what my life will be when I'm

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Speaker 1: in my seventies. And so knowing that he had that

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Speaker 1: type of life and all of the substance abuses and

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Speaker 1: all of the stress and just a rock star lifestyle

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Speaker 1: from the touring to the live shows, all of those things,

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Speaker 1: I think he lived a life.

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Speaker 2: You feel me, Just he just wrapped his last tour,

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Speaker 2: like his closing tour of his life was like two

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Speaker 2: weeks ago even that, So to your point, life fulfilled.

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Speaker 1: Not only that, I was just also with a good

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Speaker 1: friend of mine who used to be in the NBA,

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Speaker 1: and we were talking about how he's on like, uh,

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Speaker 1: like an anxiety medication. But we talked about how he

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Speaker 1: and even know what anxiety was, and it was something

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Speaker 1: that actually formulated during his career as a player, because

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Speaker 1: you're constantly around you know, you have performance anxiety, and

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Speaker 1: then when you go through injuries and things like that,

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Speaker 1: you're constantly thinking about what's next for you and things

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Speaker 1: like that, and the idea that anxiety came about through

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Speaker 1: his career I can only imagine like what health issues

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Speaker 1: or mental issues that Ozzy Osbourne had. And in terms

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Speaker 1: of mental issues, I think racism is a mental fucking issue.

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Speaker 1: So I don't honestly don't care that Hulk Hogan died.

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Speaker 1: That's it. I mean, I don't think we have to

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Speaker 1: care when people pass because to me, we know that

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Speaker 1: death is inevitable essentially, So like the whole rip and

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Speaker 1: sending it like I don't know when people are shitty,

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Speaker 1: I think it's okay to talk about them after they passed.

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Speaker 1: And he was shitty when he was alive.

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Speaker 4: Yeah, No, he's still getting the same vitriol as he

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Speaker 4: revealed who he really was from how he feels about

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Speaker 4: society and mass Yeah. So it's like, as a child,

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Speaker 4: you grew up buying Hogan figures.

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Speaker 1: And oh I watched him on reality to.

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Speaker 4: The minute he just started to reveal who he is,

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Speaker 4: who Terry is. Right, then it's a different we measure

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Speaker 4: him differently.

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Speaker 3: Pause.

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Speaker 4: But it so when he passed away, it is like,

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Speaker 4: all right, you know, he's a human being. He passed away.

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Speaker 4: I don't agree with his his viewpoints on humanity, so

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Speaker 4: on the large part of humanity.

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Speaker 1: So here's the thing, like, I just don't care. I'm

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Speaker 1: not gonna celebrate someone dying.

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Speaker 3: I don't care because.

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Speaker 1: Well that's the thing, right if there are and if

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Speaker 1: you guys go back to the episode with Selena Hill

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Speaker 1: and Montgomery, Kenneth Montgomery, we talked about the death penalty

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Speaker 1: and where I won't celebrate death. There are some niggas

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Speaker 1: that I think the world would be better without, whether

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Speaker 1: it's pedophilia, whether it's people who project racism against beings

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Speaker 1: that they don't know and just have this discriminatory hatred

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Speaker 1: towards a race of people because of the color of

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Speaker 1: their skin. To me, if many of you are listening

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Speaker 1: and have the idea that world peace will ever exist

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Speaker 1: while we're here, there are some people that we could

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Speaker 1: get off the get off the planet. And to me,

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Speaker 1: I put racists and pedophiles and rapists or rapists. I

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Speaker 1: don't know how quick we are into YouTube here, but

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Speaker 1: there are certain people with characteristics that I don't think

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Speaker 1: deserve to be on this earth, especially when we have

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Speaker 1: people passing like a Malcolm Jamal Warner, who Jesus Christ,

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Speaker 1: it probably won't happen for me, but I'm jealous that

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Speaker 1: in passing. I have not heard one person say one

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Speaker 1: thing about this man, right, you know what I mean?

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Speaker 1: And so that's a life fulfilled. And it's crazy because

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Speaker 1: we think about karma and then we see things happen

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Speaker 1: to people that we assume just don't deserve that, you

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Speaker 1: know what I mean, They deserve to be here longer.

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Speaker 1: And so just kind of wanted to start off there.

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Speaker 1: We got some curn events that took place, which one

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Speaker 1: we want to start with first? Jason throws something at me,

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Speaker 1: what were we gonna do?

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Speaker 2: I actually want to We haven't talked to a minute,

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Speaker 2: so I actually want to know your thoughts on the

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Speaker 2: whole the Cold Play cheating controversy where they got caught

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Speaker 2: on the kiss camp because a lot happened, and I

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Speaker 2: know the beginning, everybody knows that part. But yeah, they've.

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Speaker 1: Since they've both resigned. Here's the thing. See the thing

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Speaker 1: is hot.

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Speaker 2: Uh, everybody else need to give a recap?

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Speaker 1: No, we got to give a recap. Niggas was called

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Speaker 1: cheating on a kiss cam, and every party in Atlanta

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Speaker 1: chose to throw it on a flyer, which is crazy.

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Speaker 1: I could not imagine, like, you know, how they throw

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Speaker 1: Martin Luther King up on flyers for my day weekend.

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Speaker 1: Maybe this couple, well, this this affair was the star

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Speaker 1: of party Flyers. Sneaky Links, bring your sneaky link side

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Speaker 1: peace Sunday. I hate Atlanta, Atlanta. Had they weigh zero

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Speaker 1: time they they throwed. They throw this couple up on

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Speaker 1: every party flyer. If you've listened to horrible decisions, decisions decisions,

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Speaker 1: any of my podcast, anytime, anytime I've spoken publicly, I

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Speaker 1: am very against workplace romances. I don't think you should

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Speaker 1: ship where you sleep, eat where you ship. I don't

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Speaker 1: know what the saying is, but one of them, you

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Speaker 1: know what I mean, You shouldn't, shouldn't bro There is

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Speaker 1: so much.

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Speaker 4: My mom always said penis and pussy out here. My

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Speaker 4: mom says that the flesh is weak. What that means

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Speaker 4: that means in her context, in my context, which I'll

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Speaker 4: share with you right now, it's the law of proximity.

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Speaker 4: So my mom was recently in the hospital, right and

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Speaker 4: I'm watching the dynamics between the nurse, the nurses and

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Speaker 4: the staff, and.

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Speaker 3: I'm like, wow, they in there.

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Speaker 4: They twelve sixteen hours double shift, blah blah blah blah,

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Speaker 4: and then they go into this big cafeteria and they

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Speaker 4: haven't lunch, and then they going to work again, and

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Speaker 4: then they're they're they're each other's support system. So you

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Speaker 4: go through, you go throughout your shift, and then days

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Speaker 4: on and day in and out for twelve hours.

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Speaker 3: We got to talk about something.

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Speaker 4: You're gonna share, philosophy, you're gonna share if you've got

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Speaker 4: a family of kids. Whatever, Hey, I'm gonna get a

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Speaker 4: coffee for you. Wanna it's always gonna be those dynamics.

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Speaker 1: And they're getting a coffee. Ain't gonna make it.

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Speaker 4: Hold on, No, but us, through time, through passing a time,

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Speaker 4: there are going to be possibilities. We see it in

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Speaker 4: industry we work in, we do and we it just

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Speaker 4: us to have some kind of moral compass to say,

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Speaker 4: set a boundary right. And I think now in twenty

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Speaker 4: twenty entering twenty twenty six, the boundaries are just slowly deteriorating.

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Speaker 1: To me, it's not a moral compass as much as

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Speaker 1: it's literally discernment. Like to me too, if you're spending

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Speaker 1: twelve to fourteen to sixteen hours around somebody, we need

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Speaker 1: to learn how to compartmentalize our viewpoints on relationships. And

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Speaker 1: if you have a workplace relationship with someone. There's no

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Speaker 1: reason why that needs to be taken into the bedroom.

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Speaker 3: No, where it starts. That's my work husband, that's my

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Speaker 3: work wife.

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Speaker 5: Yeah, okay, so we.

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Speaker 1: Got the way you actually have a wife here? Are you?

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Speaker 1: Have you ever had a work wife or a work

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Speaker 1: girlfriend and is that something that your wife has checked

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Speaker 1: you on before?

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Speaker 2: Not since I've been married, No, But before I was married,

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Speaker 2: I had a girlfriend who worked with me at this

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Speaker 2: I worked at a magazine. We were at the same magazine,

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Speaker 2: she said, at the cube next to me, and that's

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Speaker 2: how I dated years later in her career when we

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Speaker 2: were at a different magazine. We both worked there together

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Speaker 2: and she had she actually had a work husband there.

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Speaker 2: And it was funny to me because I was like,

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Speaker 2: this is bugged out, like watching my ex like interact

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Speaker 2: with this dude who's her work husband, and I know

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Speaker 2: she has a boyfriend at home, and so I was

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Speaker 2: crazy watching it.

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Speaker 5: And I was thinking about.

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Speaker 1: Though that you saw.

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Speaker 2: That's so that's the point I was gonna say, not

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Speaker 2: much boundaries crossed there, But I was thinking about when

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Speaker 2: a king's saying, I'm watching the nurses and doctors and

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Speaker 2: we come out the room. I thought you were going

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Speaker 2: to say, and then I peeped, like a little hand

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Speaker 2: gesture here the hand going down the bad start.

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Speaker 5: She started seeing those little things.

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Speaker 4: My mom seen the nurses aid and one of the

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Speaker 4: nurses and I don't know it was. It was just

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Speaker 4: joking around it. And she's told she called both of

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Speaker 4: them in the room. She said, you know, make sure

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Speaker 4: y'all take care of each other, like y'all shop. I'm

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Speaker 4: looking at you pee and I'm looking like she sawid, Hey,

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Speaker 4: you just late to the party. So then the guy,

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Speaker 4: he kind of was like, oh, no, that's we go

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Speaker 4: way back.

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Speaker 5: Ah.

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Speaker 3: That's subjective, but it ain't.

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Speaker 1: It's tricky because I think that and and maybe it's

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Speaker 1: just the lack of being able to be platonic as

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Speaker 1: a man a woman. I remember when I was on

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Speaker 1: the JVN, I was in a relationship with who I

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Speaker 1: thought was my soulmate at the time, and Joe used

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Speaker 1: to like facetimmy every morning because he had chatty, petty

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Speaker 1: ass motherfucker. I'd be laying in bed with my nigga

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Speaker 1: and Joe would call me and it would be like

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Speaker 1: a lot. We talked on the phone in the morning.

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Speaker 1: We'd like to talk about what's happening on the internet

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Speaker 1: and things like that, and and their you but he

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Speaker 1: we worked together, but it's worked, but there was a friendship.

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Speaker 1: And to me, I'm just like, to me, if I

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Speaker 1: wasn't answering Joe in front of my nigga, I felt

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Speaker 1: like it would be worse. Yeah, I'm in bed, I'm up. Wait,

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Speaker 1: that's a that's a violation, misuez. Would you allow your

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Speaker 1: wife to answer at.

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Speaker 3: Least get up?

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Speaker 4: At least get up, Let's go in the kitchen or something,

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Speaker 4: and then I mean we could start yo, what up?

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Speaker 3: And then get up?

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Speaker 2: Because that's very innocent, Like considering the context of Mandy,

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Speaker 2: that seems really innocent.

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Speaker 1: That's what I'm saying. I talked to how often do

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Speaker 1: I talk to you? A king? A king? When I

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Speaker 1: was with my boyfriend. My boyfriend would be around. I'm

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Speaker 1: facetiming you, like I have platonic relationships with men in

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Speaker 1: my industry and in my life. And I think that

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Speaker 1: what this CEO did. Mind you, both of them were married,

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Speaker 1: so I think we clearly knew they were having an affair,

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Speaker 1: so there were lines crossed. I do think it's interesting

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Speaker 1: and what we don't have in our industry is the

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Speaker 1: ability to literally lose your job because of an affair.

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Speaker 1: And so we see both of them resigned. We know

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Speaker 1: what it was, board meeting took place. Y'all violated code

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Speaker 1: of conduct?

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Speaker 4: And is that similar to old boy from ABC? What

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Speaker 4: was the newscaster I forget his name, the black guy?

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Speaker 1: Oh yeah, the part of the I don't remember the cheated, Yeah,

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Speaker 1: you cheated with the white woman.

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Speaker 3: They got a whole.

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Speaker 4: Podcast now, yeah, but they're no longer on their network

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Speaker 4: as a result of Yeah.

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Speaker 5: But yeah, they lost the main jobs.

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Speaker 1: I mean, for this, it's interesting. I also want to say, uh,

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Speaker 1: do do you think don't go to sporting events with

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Speaker 1: your side piece? But is it?

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Speaker 2: Does the HR element of it mean anything? Like if

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Speaker 2: she was the chief Revenue officer and he was the CEO,

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Speaker 2: would it be the exact same, Because to me, I

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Speaker 2: feel like the HR element.

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Speaker 1: HR being fired by HR is hilarious.

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Speaker 2: Yeah, it's just like it's like the hypocrisy of it.

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Speaker 1: I feel like, I mean, but people are hypocrites at

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Speaker 1: the end of the day, Like you still have code

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Speaker 1: of conduct and again there's always somebody above you. Let's

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Speaker 1: be also very clear.

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Speaker 2: Company are and I know that too. I know HR

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Speaker 2: is always with the company, but they're also the one

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Speaker 2: who are like with the Ruler Code of Conduct qute

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Speaker 2: of Conduct and the fact that she didn't follow it,

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Speaker 2: which I think we all suspect anyway, but because it

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Speaker 2: was so loud and long, I feel like that. I

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Speaker 2: feel like if it was like if she was the

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Speaker 2: chief revenue officer and he was the CEO, I feel

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Speaker 2: like maybe it will be like paid leave of absence

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Speaker 2: and it will go away.

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Speaker 1: Here's another thing too, right, I was just out with

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Speaker 1: a homeboy of mine who is married. We went to

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Speaker 1: one of his restaurants and we're just sitting at the

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Speaker 1: booth having a conversation, catching up, right, and we see

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Speaker 1: this girl and she's videoing and taking pictures. He was like,

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Speaker 1: you think that girl's videoing us? And I was like,

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Speaker 1: and it she is, And what nigga, We're not doing

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Speaker 1: anything wrong. And so to me, I think the reaction

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Speaker 1: of both of them indicated that they was up to

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Speaker 1: no good. And so to me, here's my bit of

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Speaker 1: advice as a season side chick who knows longer, I'm

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Speaker 1: no longer that however, Season sidekick. There we go listen.

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Speaker 4: Uh.

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Speaker 1: In In my book, my New York Times bestseller No

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Speaker 1: Holds Bart, I actually talk of about being okay with

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Speaker 1: being you know, number two, which I no longer think

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Speaker 1: of anymore. However, when you're out in public, if you

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Speaker 1: are in your mind doing something that you ain't supposed

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Speaker 1: to be doing with somebody you're not supposed to be with,

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Speaker 1: in a relationship dynamic that maybe you don't want the

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Speaker 1: public to know, the key is to just act like friends. Literally,

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Speaker 1: y'all work for the same company that could have been

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Speaker 1: your company, sweet and all of y'all are there, and

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Speaker 1: y'all are enjoying the same song like wave like. I

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Speaker 1: think that there's a way to behave do all of

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Speaker 1: your dirt behind closed doors with knowing that everything that's

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Speaker 1: done in the dark will eventually come to light. But

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Speaker 1: if you're going to be in public settings with your joint,

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Speaker 1: with your side piece, because best believe I've been there,

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Speaker 1: done that, act like you the friend. Just act like

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Speaker 1: y'all are there to enjoy whatever moment y'all are in,

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Speaker 1: and take all that little guilty inn somewhere else. Yeah,

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Speaker 1: it was crazy. Speaking of Yeah, speaking of energy, side chicks,

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Speaker 1: how you move, how you don't move, how you act

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Speaker 1: in public, how you act behind closed doors? Baby. The

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Speaker 1: t app just came out now, and if y'all are

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Speaker 1: unfamiliar with.

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Speaker 2: The t app, it is like number one, number one app, the.

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Speaker 1: Number one on the app store, but not only that

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Speaker 1: four years and again, if you are listening to horrible decisions.

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Speaker 1: I did a Patreon episode about this. There have been

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Speaker 1: Facebook groups for the last few years where you have

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Speaker 1: to be invited and accepted into it, but it's almost

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Speaker 1: every city in America and the and the groups are

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Speaker 1: called are we Dating the same Man? And so yes,

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Speaker 1: So the t app is essentially are we Dating the

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Speaker 1: same man? Here's the thing about this as well. It

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Speaker 1: has been out for a week. I mean, I'm sure

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Speaker 1: it's been in beta for much longer than that, but

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Speaker 1: it had a push over this last week. Millions of

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Speaker 1: women chose to join this platform. And in order to

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Speaker 1: join the platform, by the way, because I went to

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Speaker 1: do it, didn't finish the process because I got busy.

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Speaker 1: But in order to join this you do have to

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Speaker 1: like you're going to join it was I here's the thing,

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Speaker 1: the same way I watch Housewives, I just like seeing

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Speaker 1: how miserable everybody is out here because I none of

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Speaker 1: my none of the niggas I lay up with, would

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Speaker 1: be on now. Hmmm, I ain't even gonna hold you.

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Speaker 1: Maybe someone's from the past, but who who I rock

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Speaker 1: with right now? I ain't even worried about it, like

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Speaker 1: you know. And so there was one that I think

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Speaker 1: would have been on there, but I just cut them

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Speaker 1: off anyway. So basically, in order to get on this app,

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Speaker 1: you had to upload a photo ID, You had to

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Speaker 1: be verified, your social media had to be linked. Like

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Speaker 1: there's all these things that had to you had to

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Speaker 1: do to get verification. And because it's a new app,

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Speaker 1: like every new app, maybe their security was not up

433
00:23:04,720 --> 00:23:06,800
Speaker 1: to par and within the first week there was a

434
00:23:06,880 --> 00:23:10,840
Speaker 1: data breach, with hackers gaining access to seventy two thousand images,

435
00:23:11,200 --> 00:23:16,360
Speaker 1: including thirteen thousand selfies and photo IDs submitted for account verifications,

436
00:23:16,400 --> 00:23:21,359
Speaker 1: as well as fifty nine thousand images from post comments

437
00:23:21,400 --> 00:23:25,920
Speaker 1: and dms. Here's the thing. This app was an app

438
00:23:25,960 --> 00:23:28,800
Speaker 1: that only women could join, where they would pretty much

439
00:23:29,000 --> 00:23:35,760
Speaker 1: create profiles of the men they dealt with and talk

440
00:23:35,800 --> 00:23:41,840
Speaker 1: about these men and their experiences. Here's all stra dry stitching. Yes,

441
00:23:41,960 --> 00:23:47,320
Speaker 1: but as a woman, women be lying, and so this

442
00:23:47,520 --> 00:23:50,560
Speaker 1: wasn't an app that I would go on to necessarily

443
00:23:51,119 --> 00:23:54,520
Speaker 1: take anything as bible in terms of their relationships. We

444
00:23:54,560 --> 00:23:59,520
Speaker 1: also know that when relationships end with men not on

445
00:23:59,560 --> 00:24:03,320
Speaker 1: the accord of the woman, the woman in a heartbroken, manic,

446
00:24:03,760 --> 00:24:08,120
Speaker 1: depressed state is so irate that they just hate this man,

447
00:24:08,600 --> 00:24:12,359
Speaker 1: and oftentimes stories are created in things as such. I

448
00:24:12,520 --> 00:24:16,960
Speaker 1: do think that this is an app that what only

449
00:24:17,000 --> 00:24:20,440
Speaker 1: cause more harm than good. I don't think that women

450
00:24:20,480 --> 00:24:23,600
Speaker 1: should be allowed to create profiles of men. There's been

451
00:24:23,760 --> 00:24:26,600
Speaker 1: men who have come out to already say like, this

452
00:24:26,680 --> 00:24:29,800
Speaker 1: is what's being said about me to me, this is

453
00:24:29,840 --> 00:24:34,160
Speaker 1: a lawsuit waiting to happen. I know that there's an

454
00:24:34,160 --> 00:24:37,359
Speaker 1: app that I will never make mention on any of

455
00:24:37,359 --> 00:24:40,439
Speaker 1: my platforms that when I go onto it, it's a

456
00:24:40,440 --> 00:24:42,399
Speaker 1: message board of people who do not know me that

457
00:24:42,480 --> 00:24:45,439
Speaker 1: are creating narratives about me that are true. Whether it's

458
00:24:45,440 --> 00:24:47,560
Speaker 1: who I sleep with, the type of person I am,

459
00:24:47,680 --> 00:24:50,000
Speaker 1: where I live well, to my bank account, all these things,

460
00:24:51,080 --> 00:24:53,400
Speaker 1: and it's just people that is bored, people that is miserable,

461
00:24:53,400 --> 00:24:57,320
Speaker 1: and that's what the Internet is. Unfortunately, so a.

462
00:24:57,320 --> 00:24:59,800
Speaker 4: Girl could probably put up a post of a guy

463
00:25:00,119 --> 00:25:02,840
Speaker 4: ask the question, and then just because people have access

464
00:25:02,880 --> 00:25:05,840
Speaker 4: to the app, they may just jump on there and

465
00:25:05,880 --> 00:25:08,160
Speaker 4: be like, say some wild shit about to do that

466
00:25:08,240 --> 00:25:09,120
Speaker 4: they may not even.

467
00:25:08,960 --> 00:25:12,159
Speaker 2: Know is are they asking questions though? Or is it

468
00:25:12,200 --> 00:25:16,040
Speaker 2: like I'm just gonna do profiles? Like no, no, no, no no,

469
00:25:16,960 --> 00:25:18,000
Speaker 2: Like are we dating the same person?

470
00:25:18,119 --> 00:25:18,240
Speaker 3: Is that?

471
00:25:18,320 --> 00:25:20,000
Speaker 2: Like? Weren't asking is this? No?

472
00:25:20,080 --> 00:25:23,400
Speaker 1: It's like the same thing. So even even the Facebook app, right,

473
00:25:23,800 --> 00:25:26,920
Speaker 1: they're literally posting a picture asking does anyone know this guy?

474
00:25:27,280 --> 00:25:30,040
Speaker 1: And the comments underneath are a whole bunch of women

475
00:25:30,480 --> 00:25:33,679
Speaker 1: who may or may have had experiences with him and

476
00:25:33,720 --> 00:25:36,280
Speaker 1: they're sharing their relationship with him, and some of.

477
00:25:36,200 --> 00:25:38,320
Speaker 2: It could be like, oh, good, dude, is great, I

478
00:25:38,520 --> 00:25:45,320
Speaker 2: had no problem? Or is it all like pulling somebody's credit.

479
00:25:46,400 --> 00:25:49,000
Speaker 1: It's the whole facts, y'all know how men be wanting

480
00:25:49,040 --> 00:25:52,720
Speaker 1: the hope facts on women and like figuring out who

481
00:25:52,800 --> 00:25:55,560
Speaker 1: she done smashed and passed and all that. For women,

482
00:25:56,160 --> 00:25:58,000
Speaker 1: what we kind of want to know about men is

483
00:25:58,160 --> 00:26:02,320
Speaker 1: I mean, dick sibes size and if they're like a

484
00:26:02,359 --> 00:26:04,560
Speaker 1: good guy or if they're a fucking liar. I mean,

485
00:26:04,680 --> 00:26:09,159
Speaker 1: oftentimes what you want to find out is is this

486
00:26:09,240 --> 00:26:12,199
Speaker 1: man who he says he is. And so before we

487
00:26:12,240 --> 00:26:14,560
Speaker 1: get into the talk about AI, I want to share

488
00:26:14,560 --> 00:26:18,920
Speaker 1: another resource that ladies you should use and it's as

489
00:26:18,920 --> 00:26:23,880
Speaker 1: low as nine per person. It's called the fucking White Pages.

490
00:26:24,560 --> 00:26:26,680
Speaker 1: And I did this for a homegirl of mine. Check

491
00:26:26,760 --> 00:26:29,640
Speaker 1: this out. So it's the White Pages. You pay nine

492
00:26:29,720 --> 00:26:33,040
Speaker 1: ninety nine for a full search on an individual. When

493
00:26:33,080 --> 00:26:36,200
Speaker 1: I tell you, it will tell you their parents' name,

494
00:26:36,280 --> 00:26:39,760
Speaker 1: their siblings name, if ever they were married, any houses

495
00:26:39,800 --> 00:26:42,160
Speaker 1: that they own, traffic tickets that they may have had,

496
00:26:42,960 --> 00:26:44,560
Speaker 1: jobs that they've been attached to.

497
00:26:45,000 --> 00:26:46,520
Speaker 3: How do you protect yourself against them?

498
00:26:46,920 --> 00:26:49,160
Speaker 1: So for me, you don't. At this point, we all

499
00:26:49,880 --> 00:26:53,720
Speaker 1: and I'm I'm excited to talk about the AI. Essentially,

500
00:26:53,760 --> 00:26:56,119
Speaker 1: whenever you sign up for a social media platform, there

501
00:26:56,160 --> 00:26:59,440
Speaker 1: are terms and conditions. You're uploading your face, you're uploading

502
00:26:59,440 --> 00:27:02,239
Speaker 1: where you work, if you have LinkedIn that has your

503
00:27:02,240 --> 00:27:04,560
Speaker 1: whole job in history, if you go and get a

504
00:27:04,600 --> 00:27:08,440
Speaker 1: state ID, you're the same way we look up mug shots,

505
00:27:08,760 --> 00:27:11,960
Speaker 1: your traffic, like all of those things are on the

506
00:27:12,160 --> 00:27:15,760
Speaker 1: World Wide Web. You are not a ghost in the society.

507
00:27:16,119 --> 00:27:19,359
Speaker 1: And so White Pages keeps track of you know where

508
00:27:19,720 --> 00:27:22,400
Speaker 1: all you've lived where all you've moved to if you've

509
00:27:22,400 --> 00:27:26,520
Speaker 1: ever changed your ID. And so I remember my homegirl

510
00:27:26,600 --> 00:27:30,720
Speaker 1: was talking to a guy who on the holidays. Somehow

511
00:27:31,480 --> 00:27:37,280
Speaker 1: he just wasn't around Valentine, Christmas, Thanksgiving. There was just

512
00:27:37,520 --> 00:27:41,280
Speaker 1: parts where We've been dating for over a year now.

513
00:27:41,480 --> 00:27:44,480
Speaker 1: I'm confused why we haven't been able to share these

514
00:27:44,480 --> 00:27:46,600
Speaker 1: moments together. And so I was like, girl, let me

515
00:27:46,600 --> 00:27:48,320
Speaker 1: have you out Gary, let me let me know his name.

516
00:27:49,400 --> 00:27:51,119
Speaker 1: You were at the nine ninety nine because you're my

517
00:27:51,119 --> 00:27:54,200
Speaker 1: best friend, and so I paid the nine ninety nine

518
00:27:54,200 --> 00:27:59,639
Speaker 1: on white pages. Literally was like is this Have you

519
00:27:59,680 --> 00:28:01,840
Speaker 1: heard of this name? Have you heard of this name?

520
00:28:02,480 --> 00:28:04,560
Speaker 1: When I tell you there was an address on there

521
00:28:04,600 --> 00:28:07,359
Speaker 1: that she never heard of, she pulled up to the

522
00:28:07,359 --> 00:28:11,200
Speaker 1: address and guess who answered the door? His fucking wife.

523
00:28:12,760 --> 00:28:14,680
Speaker 1: She didn't even know the nigga was married. Mind you,

524
00:28:14,720 --> 00:28:17,840
Speaker 1: hold on. She also only knew of two kids, not three.

525
00:28:17,960 --> 00:28:21,120
Speaker 1: He completely chose to leave out the whole junior that

526
00:28:21,200 --> 00:28:24,480
Speaker 1: he just had. And so it was like, mind you

527
00:28:24,520 --> 00:28:27,840
Speaker 1: and I could look into the traffic tickets that he

528
00:28:27,920 --> 00:28:29,879
Speaker 1: got across certain states. I said, do you know if

529
00:28:29,880 --> 00:28:32,320
Speaker 1: he ever lived here? Because he got two speeding tickets

530
00:28:32,320 --> 00:28:35,879
Speaker 1: in Cleveland. He got something here in Miami and she

531
00:28:36,080 --> 00:28:38,120
Speaker 1: was like, oh, yeah, this is him pulled up to

532
00:28:38,160 --> 00:28:41,120
Speaker 1: that house. Long behold. The wife answered, So, if there's

533
00:28:41,160 --> 00:28:42,520
Speaker 1: a lot of things that you want to know about

534
00:28:42,520 --> 00:28:44,160
Speaker 1: a person, you can kind of gauge that. It'll tell

535
00:28:44,200 --> 00:28:48,560
Speaker 1: you everything from the numbers associated to that name, the addresses.

536
00:28:48,640 --> 00:28:52,360
Speaker 1: It's crazy, and it's to me, it is scary because

537
00:28:52,440 --> 00:28:54,600
Speaker 1: especially at celebrities. That's why we know people have showed

538
00:28:54,680 --> 00:28:58,040
Speaker 1: up to Chris Brown's house. It's you know, it gets scary,

539
00:28:58,080 --> 00:29:00,640
Speaker 1: like there's a breach of security there for you as

540
00:29:00,640 --> 00:29:03,480
Speaker 1: a human being because people are unwell out here. But

541
00:29:03,680 --> 00:29:07,959
Speaker 1: at the same time, unfortunately, we are meeting people's representative

542
00:29:08,080 --> 00:29:12,600
Speaker 1: often and so as a woman, I was just going

543
00:29:12,640 --> 00:29:16,600
Speaker 1: on there to read the tea. I would not advise

544
00:29:16,640 --> 00:29:18,440
Speaker 1: anyone to sign up for this app. I think that

545
00:29:18,520 --> 00:29:21,000
Speaker 1: it's cruel. I think that it's mean, and things like

546
00:29:21,040 --> 00:29:23,920
Speaker 1: this I don't think should be inserted into our society

547
00:29:24,040 --> 00:29:24,600
Speaker 1: at the moment.

548
00:29:25,120 --> 00:29:26,760
Speaker 4: I just want to add something to it. I saw

549
00:29:26,800 --> 00:29:28,880
Speaker 4: this YouTube. I can't forget I can't remember his name.

550
00:29:29,400 --> 00:29:31,400
Speaker 4: Part of me, but he was kind of doing a

551
00:29:33,080 --> 00:29:35,120
Speaker 4: I won't say expos a, but he was doing a

552
00:29:35,120 --> 00:29:37,480
Speaker 4: piece about the t app and one of the things

553
00:29:37,240 --> 00:29:39,560
Speaker 4: he mentioned is that if you look at the fellas

554
00:29:39,560 --> 00:29:43,880
Speaker 4: that's on the app, these are people that you probably

555
00:29:44,720 --> 00:29:48,320
Speaker 4: should know already that ain't shit for.

556
00:29:48,040 --> 00:29:50,959
Speaker 1: While you say that because there's regular guys on there,

557
00:29:51,000 --> 00:29:51,560
Speaker 1: it's not all.

558
00:29:51,400 --> 00:29:54,640
Speaker 4: Celebrities again, it was it was the volume of guy

559
00:29:54,680 --> 00:29:57,920
Speaker 4: that he was showing is like money phone guys watching

560
00:29:58,560 --> 00:30:01,600
Speaker 4: and it's like, you want to know about him.

561
00:30:02,200 --> 00:30:05,480
Speaker 1: That he is like that, you want to know what

562
00:30:05,480 --> 00:30:09,360
Speaker 1: I think makes it worse. They were posting the women's

563
00:30:09,560 --> 00:30:13,600
Speaker 1: ideas and this is this is what I hate about

564
00:30:13,960 --> 00:30:16,920
Speaker 1: because the male app, well, there was a breach of data.

565
00:30:17,000 --> 00:30:19,840
Speaker 1: With the breach with the leak, people were able to

566
00:30:19,840 --> 00:30:22,240
Speaker 1: see the women on this app, and so all you

567
00:30:22,320 --> 00:30:26,520
Speaker 1: saw was five two, two thirty five, six, three or

568
00:30:26,600 --> 00:30:31,120
Speaker 1: five and it was literally people the size of the

569
00:30:31,160 --> 00:30:34,120
Speaker 1: women even on this app. And I'll be here to tell.

570
00:30:33,960 --> 00:30:35,080
Speaker 3: You go ahead, talk about it.

571
00:30:35,120 --> 00:30:40,360
Speaker 1: Go ahead, because in the most ignorant fashion, y'all is ignorant.

572
00:30:40,560 --> 00:30:46,840
Speaker 1: If y'all don't think big Bitch is getting dick, I

573
00:30:46,960 --> 00:30:51,960
Speaker 1: did someone someone wrote something about uh oh, I don't

574
00:30:51,960 --> 00:30:53,920
Speaker 1: even know what the correlation was between you.

575
00:30:53,880 --> 00:30:55,440
Speaker 2: It's like when you get skinning and you start holding

576
00:30:55,520 --> 00:30:55,760
Speaker 2: or something.

577
00:30:55,800 --> 00:30:58,520
Speaker 1: But yeah, someone said, bitches lose weight and start holing

578
00:30:59,320 --> 00:31:02,560
Speaker 1: baby bitches is hole and his big bitches. And you

579
00:31:02,600 --> 00:31:06,200
Speaker 1: know why, the more in shape a man, the more

580
00:31:06,240 --> 00:31:10,480
Speaker 1: slimmer man, the bigger the bitch. I in my prime

581
00:31:10,680 --> 00:31:14,560
Speaker 1: at two hundred and thirty pounds, baby oh, I only

582
00:31:14,600 --> 00:31:20,959
Speaker 1: fucked blamino models and gym riots. Swear to God, like

583
00:31:21,800 --> 00:31:24,360
Speaker 1: I could count the packs on the god damn body

584
00:31:24,520 --> 00:31:27,920
Speaker 1: like one, two, three, folk day seven eight. You got

585
00:31:27,960 --> 00:31:31,880
Speaker 1: an eight pack. The more in shape of a man,

586
00:31:31,920 --> 00:31:34,239
Speaker 1: I don't know the fluffy of the woman. And so

587
00:31:34,280 --> 00:31:37,160
Speaker 1: it's crazy like people are trying to bash these women

588
00:31:37,240 --> 00:31:41,080
Speaker 1: for their sizes on this app, right, and it's like, bro,

589
00:31:41,880 --> 00:31:46,200
Speaker 1: they are getting beat down to the mattress. Okay, big

590
00:31:46,240 --> 00:31:48,719
Speaker 1: girls is taking that thing, all right, And so I

591
00:31:48,800 --> 00:31:51,880
Speaker 1: just hate too that there becomes this element of body

592
00:31:51,880 --> 00:31:54,840
Speaker 1: shaving again. Go check out Cooked my body Shaving Fat

593
00:31:54,920 --> 00:31:58,640
Speaker 1: Shaving app episode. What do you mean cook? We've been cooked.

594
00:32:00,080 --> 00:32:02,560
Speaker 4: Fry and all the shit that happened politically as a

595
00:32:02,600 --> 00:32:05,680
Speaker 4: finale and this is and we got a tea app.

596
00:32:05,640 --> 00:32:09,440
Speaker 1: No, no, no, we're fried hard that we we we

597
00:32:09,480 --> 00:32:11,760
Speaker 1: are fried like the living purple wings in Magic City.

598
00:32:12,920 --> 00:32:17,800
Speaker 1: Fried hard. Okay, it is terrible speaking of that, Let's

599
00:32:17,880 --> 00:32:20,360
Speaker 1: go ahead and get into the topic of the matter.

600
00:32:20,880 --> 00:32:25,640
Speaker 1: We're going from an app literally to all things UH,

601
00:32:25,680 --> 00:32:30,040
Speaker 1: technology and AI. Y'all know, since we are now part

602
00:32:30,080 --> 00:32:34,880
Speaker 1: of the Black Effect Network, we have added the double

603
00:32:34,920 --> 00:32:38,600
Speaker 1: down or take it back segment where something is pulled

604
00:32:38,600 --> 00:32:41,520
Speaker 1: from something I've said in the goddamn past to kind

605
00:32:41,520 --> 00:32:45,680
Speaker 1: of rehash it before we dig deeper into our subject matter.

606
00:32:46,400 --> 00:32:50,920
Speaker 1: And this one is literally within the subject matter. So

607
00:32:50,960 --> 00:32:53,440
Speaker 1: there was an episode that Weezy and I did on

608
00:32:53,600 --> 00:32:57,160
Speaker 1: over on Horrible Decisions. This is episode three oh nine

609
00:32:57,600 --> 00:33:01,880
Speaker 1: where we talked about at the time the surgeons of

610
00:33:02,480 --> 00:33:06,760
Speaker 1: deep fakes. Now, deep fakes are where you can put

611
00:33:06,960 --> 00:33:10,800
Speaker 1: your face on an actual body. We are way past

612
00:33:10,800 --> 00:33:13,720
Speaker 1: deep fakes now because you can actually just create a

613
00:33:13,760 --> 00:33:18,200
Speaker 1: whole AI similation of a person with hands, body parts,

614
00:33:18,240 --> 00:33:22,320
Speaker 1: all the things. But we talked about deep fakes, and Jason,

615
00:33:22,320 --> 00:33:24,840
Speaker 1: you got that clip of of what I had to say,

616
00:33:26,200 --> 00:33:32,680
Speaker 1: got it right here, all right, Celebrity porn. I would

617
00:33:32,760 --> 00:33:37,400
Speaker 1: say a clean percent of it is the face of

618
00:33:37,440 --> 00:33:40,840
Speaker 1: a celebrity, but it's fake porn. It's deep fake porn,

619
00:33:41,520 --> 00:33:43,520
Speaker 1: Like because I was looking at you, I'll be looking

620
00:33:43,520 --> 00:33:45,440
Speaker 1: at celebrity porn from time to time. Just you got it.

621
00:33:45,720 --> 00:33:47,760
Speaker 1: And it's celebrities that I know never really sex tapes

622
00:33:47,840 --> 00:33:50,920
Speaker 1: and their faces are put onto bodies and that AI

623
00:33:51,280 --> 00:33:55,120
Speaker 1: and they're sucking. Would you want to sue girl?

624
00:33:55,480 --> 00:33:55,520
Speaker 2: No?

625
00:33:56,160 --> 00:33:59,840
Speaker 1: Okay, you don't think that it should be like if

626
00:34:00,080 --> 00:34:03,520
Speaker 1: some one put my face on AI and it's a

627
00:34:03,520 --> 00:34:05,480
Speaker 1: bukocky scene, shout out to you.

628
00:34:06,400 --> 00:34:07,880
Speaker 2: I not.

629
00:34:10,719 --> 00:34:12,759
Speaker 1: You know, I'm bringing up I've never been in for

630
00:34:12,800 --> 00:34:16,319
Speaker 1: the new listeners. I just enjoy viewing it. And so

631
00:34:16,680 --> 00:34:19,480
Speaker 1: if somebody is like, oh my god, I wish I

632
00:34:19,480 --> 00:34:23,319
Speaker 1: could see this and somebody took a photo that's on Instagram,

633
00:34:23,480 --> 00:34:26,080
Speaker 1: mind you. I know that when I upload any images

634
00:34:26,120 --> 00:34:28,760
Speaker 1: of myself it's for open use of the world.

635
00:34:30,040 --> 00:34:32,840
Speaker 2: What is it? Terms and condictup celebrities and conditions.

636
00:34:33,000 --> 00:34:37,200
Speaker 1: Terms and conditions apply. So my take was that I

637
00:34:37,239 --> 00:34:43,200
Speaker 1: wouldn't sue today, but today, I honestly don't think you can. Like,

638
00:34:44,360 --> 00:34:46,279
Speaker 1: by the way, I'm I'm aware of.

639
00:34:46,239 --> 00:34:50,800
Speaker 4: Your favorite rapperwise, I just want to throw that in me,

640
00:34:50,880 --> 00:34:53,400
Speaker 4: I said Everyder.

641
00:34:53,440 --> 00:34:55,600
Speaker 1: First Off, Drake is not is he even talking about

642
00:34:55,640 --> 00:35:02,880
Speaker 1: Drake Cardi who lobby calling lobbry is crazy. He is

643
00:35:02,920 --> 00:35:06,000
Speaker 1: suing over something. I think he's justified for to me

644
00:35:07,880 --> 00:35:11,120
Speaker 1: in terms of a deep fake or an AI version

645
00:35:11,120 --> 00:35:14,799
Speaker 1: of myself. I loved the video. I don't know if

646
00:35:14,880 --> 00:35:17,839
Speaker 1: y'all saw it. It was during the election time, and

647
00:35:17,880 --> 00:35:21,160
Speaker 1: it was Kamalo riding around with a forty Trump with

648
00:35:21,320 --> 00:35:25,799
Speaker 1: an ak running into a deli. It was I think

649
00:35:25,840 --> 00:35:28,360
Speaker 1: Bernie Sanders might have been in the clip, and I

650
00:35:28,400 --> 00:35:32,000
Speaker 1: found it to be entertaining to me as a sex

651
00:35:32,120 --> 00:35:36,479
Speaker 1: podcaster or someone who's talked about that for as many

652
00:35:36,680 --> 00:35:39,840
Speaker 1: years as I have. If someone chose to put me

653
00:35:39,920 --> 00:35:43,399
Speaker 1: on somebody taking back shots, I think as long as

654
00:35:43,440 --> 00:35:46,360
Speaker 1: it's not something that impacted or affected me, which I

655
00:35:46,360 --> 00:35:48,440
Speaker 1: don't think it would because I would literally just say,

656
00:35:48,880 --> 00:35:52,799
Speaker 1: this is not me. What am I supposed to do? Like?

657
00:35:52,960 --> 00:35:55,400
Speaker 4: Well, I think the issue is what if the user

658
00:35:55,520 --> 00:35:58,440
Speaker 4: or the generator is monetizing it.

659
00:35:59,200 --> 00:35:59,920
Speaker 3: I think that's way.

660
00:36:00,320 --> 00:36:03,839
Speaker 1: Issue which we're gonna get into it. Shut up.

661
00:36:05,000 --> 00:36:07,880
Speaker 2: I feel like you speak about like revenge porn a

662
00:36:07,880 --> 00:36:10,439
Speaker 2: lot and and yeah, revenge no people because people, because

663
00:36:10,440 --> 00:36:12,759
Speaker 2: people put this under the deep they put the deep

664
00:36:12,760 --> 00:36:14,959
Speaker 2: fake porns into the reve and they're wrong as fuck.

665
00:36:15,120 --> 00:36:17,800
Speaker 1: They're wrong as fuck. Here's why someone who creates a

666
00:36:17,840 --> 00:36:19,920
Speaker 1: deep fake, right, whether it's someone I dealt with or not,

667
00:36:20,400 --> 00:36:25,439
Speaker 1: it's an a I generated image deep that's deep fake.

668
00:36:25,960 --> 00:36:31,320
Speaker 1: Revenge porn is literally, hopefully something that was consensually shot

669
00:36:31,400 --> 00:36:34,839
Speaker 1: between two people having sex, and it's normally the other

670
00:36:35,000 --> 00:36:39,640
Speaker 1: party within that video leaking it is so revenge porn

671
00:36:39,920 --> 00:36:43,960
Speaker 1: is to dehumanize and embarrass and put out an intimate

672
00:36:44,000 --> 00:36:46,960
Speaker 1: moment shared between two people normally because one of the

673
00:36:46,960 --> 00:36:50,239
Speaker 1: parties involved are upset, which I love that. It is

674
00:36:50,280 --> 00:36:53,560
Speaker 1: now a criminal offense, by the way, if y'all do

675
00:36:53,640 --> 00:36:56,759
Speaker 1: that it right now is not a criminal offense to

676
00:36:57,719 --> 00:37:01,680
Speaker 1: use AI and what I love about you too, what

677
00:37:01,760 --> 00:37:06,239
Speaker 1: I love about YouTube, and it is now literally demonetizing

678
00:37:06,600 --> 00:37:10,880
Speaker 1: people who are putting out tons of either content with

679
00:37:10,960 --> 00:37:14,760
Speaker 1: the use of AI or content that is not owned

680
00:37:14,760 --> 00:37:18,480
Speaker 1: by them, content where it's just talking head, not even

681
00:37:18,520 --> 00:37:21,360
Speaker 1: a talking head. But shout out to the one place

682
00:37:21,480 --> 00:37:24,879
Speaker 1: not monetized anymore. I know that I ain't even gonna

683
00:37:24,880 --> 00:37:28,040
Speaker 1: shout them out. But his name starts with a D

684
00:37:28,880 --> 00:37:31,240
Speaker 1: ends with a Y, and I love that that nigga

685
00:37:31,280 --> 00:37:33,920
Speaker 1: can't make money no mo off of talking shit about people.

686
00:37:34,320 --> 00:37:39,160
Speaker 1: I'm here for it again. To me, I am doubling

687
00:37:39,200 --> 00:37:41,560
Speaker 1: down that I wouldn't sue. But I do think that

688
00:37:42,239 --> 00:37:46,200
Speaker 1: with this advancement of AI technology and what we're able

689
00:37:46,239 --> 00:37:49,320
Speaker 1: to make and create and do all the things, I

690
00:37:49,360 --> 00:37:53,920
Speaker 1: am glad that there are platforms that are now putting

691
00:37:54,160 --> 00:37:57,840
Speaker 1: things in place to where people can't monetize off of that.

692
00:37:58,280 --> 00:38:00,719
Speaker 1: And so if you go to porn hub, I would

693
00:38:00,800 --> 00:38:03,600
Speaker 1: highly doubt that the people uploading these fake celebrity deep

694
00:38:03,640 --> 00:38:08,040
Speaker 1: fakes are seeing any money from it. It's probably just

695
00:38:08,080 --> 00:38:11,560
Speaker 1: shifts and giggles. And to be fair, I used to

696
00:38:11,719 --> 00:38:15,799
Speaker 1: go into the message boards when I was when I

697
00:38:15,840 --> 00:38:20,520
Speaker 1: was young, and I used to literally read about B

698
00:38:20,600 --> 00:38:24,000
Speaker 1: two K Chris Brown possibly running a gang bang on

699
00:38:24,000 --> 00:38:26,279
Speaker 1: on myself, like that's how you would read it as

700
00:38:26,320 --> 00:38:29,880
Speaker 1: erodica bitch. I would love to be able to see that.

701
00:38:30,920 --> 00:38:34,040
Speaker 1: I would like to see that a I generated me

702
00:38:34,200 --> 00:38:36,560
Speaker 1: being bent over, not as a teenager, but now as

703
00:38:36,560 --> 00:38:38,959
Speaker 1: an adult. I would love to be able to see

704
00:38:39,000 --> 00:38:42,799
Speaker 1: myself taking it from the back from Chris Brown and

705
00:38:42,880 --> 00:38:46,239
Speaker 1: it's sucking and sucking Jason Momoa off or some shit like,

706
00:38:46,360 --> 00:38:49,160
Speaker 1: I'm here to see myself enjoy that experience.

707
00:38:50,080 --> 00:38:53,600
Speaker 3: How long is it gonna take when this episode drops?

708
00:38:54,600 --> 00:38:56,320
Speaker 3: Before somebody starts.

709
00:38:57,440 --> 00:39:00,480
Speaker 1: Hey, I ain't gonna hold you. There's plenty of images

710
00:39:00,960 --> 00:39:03,120
Speaker 1: of Chris Brown on his tour right now with the

711
00:39:03,200 --> 00:39:07,080
Speaker 1: right faces that I need, of him gyrating behind me.

712
00:39:07,239 --> 00:39:10,080
Speaker 1: And then yet give give Jason Momoa like an eight

713
00:39:10,120 --> 00:39:11,799
Speaker 1: inch dick and put it in my mouth. I'm here

714
00:39:11,840 --> 00:39:14,239
Speaker 1: for it, and send it to me so that I

715
00:39:14,280 --> 00:39:15,200
Speaker 1: can go to sleep.

716
00:39:15,520 --> 00:39:19,040
Speaker 3: Well, do a version of Jason Momoa from Minecraft.

717
00:39:20,960 --> 00:39:26,560
Speaker 1: Why just because I'll take Aquaman. I'll take even a

718
00:39:26,600 --> 00:39:29,359
Speaker 1: fish scale on his dick. Okay, I don't care. Give

719
00:39:29,400 --> 00:39:32,359
Speaker 1: me Aquaman and met the man. There we go, give

720
00:39:32,360 --> 00:39:38,600
Speaker 1: me both the man all right, Yeah, I ain't gonna

721
00:39:38,640 --> 00:39:42,200
Speaker 1: hold you. I'm actually really I guess we'll dig into

722
00:39:42,320 --> 00:39:48,520
Speaker 1: all the AI of it all. I'm personally excited about

723
00:39:48,719 --> 00:39:51,480
Speaker 1: the use of AI. And at this point he can

724
00:39:51,520 --> 00:39:53,120
Speaker 1: you might need to remove all these ums because the

725
00:39:53,160 --> 00:39:57,960
Speaker 1: bitch keeps saying today and I don't know why. And anyways, overall,

726
00:39:58,239 --> 00:40:02,920
Speaker 1: I'm excited to be learning all the AI to tools

727
00:40:02,920 --> 00:40:04,480
Speaker 1: that there is to offer. I just had a conversation

728
00:40:04,520 --> 00:40:06,799
Speaker 1: with antnet the other day and I was like, bitch,

729
00:40:06,800 --> 00:40:10,480
Speaker 1: if you know any courses classes, let me know the

730
00:40:10,520 --> 00:40:13,839
Speaker 1: cost of them. Let's get into it, because we're at

731
00:40:13,880 --> 00:40:18,120
Speaker 1: a place where as content creators, as entrepreneurs, this is

732
00:40:18,120 --> 00:40:22,040
Speaker 1: what you gotta do. And we'll have another conversation in

733
00:40:22,080 --> 00:40:27,799
Speaker 1: the coming weeks about rois and paying people what their

734
00:40:27,800 --> 00:40:30,759
Speaker 1: worth and all of those things. But to me, it

735
00:40:30,880 --> 00:40:35,440
Speaker 1: is a way to save on money, to generate a

736
00:40:35,560 --> 00:40:39,080
Speaker 1: lot more content for a lot less money in a

737
00:40:39,080 --> 00:40:44,040
Speaker 1: more efficient way. And I'm not mad personally right now

738
00:40:44,760 --> 00:40:48,399
Speaker 1: at any business integrating AI to help them.

739
00:40:48,680 --> 00:40:49,120
Speaker 3: For sure.

740
00:40:49,280 --> 00:40:51,560
Speaker 1: There are two, however, I would like to speak to

741
00:40:52,520 --> 00:40:55,480
Speaker 1: if you do not mind the first one, I want

742
00:40:55,480 --> 00:40:58,839
Speaker 1: to say, I'm not mad at second one, I want

743
00:40:58,840 --> 00:41:02,839
Speaker 1: to say, bitch, fuck you. So the first one I

744
00:41:02,840 --> 00:41:07,200
Speaker 1: want to get into is Uber. Also Lift. Lift has

745
00:41:07,200 --> 00:41:11,759
Speaker 1: a mobility uh uh an automobility line as well coming out.

746
00:41:11,800 --> 00:41:14,040
Speaker 1: I just saw it in Atlanta. Now here's the thing,

747
00:41:14,680 --> 00:41:17,720
Speaker 1: and here's maybe the difference in the businesses with Uber.

748
00:41:17,840 --> 00:41:22,480
Speaker 1: They have Weimo Waimo is as self automated driving vehicle

749
00:41:23,000 --> 00:41:27,240
Speaker 1: and bitch, it's Jaguars. Lift got toiled at Sienna's Nigga,

750
00:41:27,280 --> 00:41:30,000
Speaker 1: and I was like, all right now, not you putting

751
00:41:30,040 --> 00:41:39,719
Speaker 1: us some motherfucking minivan. Big lift got Sienna's and I

752
00:41:39,800 --> 00:41:42,680
Speaker 1: was like, all right now, if I'm going to see

753
00:41:42,760 --> 00:41:47,719
Speaker 1: here and get in a car where it's automated and

754
00:41:47,800 --> 00:41:52,040
Speaker 1: driving by itself, then let me get in a Jaguar hunt.

755
00:41:52,480 --> 00:41:54,720
Speaker 1: Here's why I do not have a problem with it.

756
00:41:54,800 --> 00:42:01,360
Speaker 1: One of two things. Accidents happened with people driving to

757
00:42:02,840 --> 00:42:09,600
Speaker 1: and to me, the human era is just is possible

758
00:42:09,680 --> 00:42:12,840
Speaker 1: to me as a self automated vehicle with all the

759
00:42:12,880 --> 00:42:15,200
Speaker 1: sensors and things that it has around it. Mind you,

760
00:42:15,239 --> 00:42:18,080
Speaker 1: they do a lot of testing before those things go

761
00:42:18,120 --> 00:42:21,960
Speaker 1: out into actually happening. And so when I was at

762
00:42:21,960 --> 00:42:26,480
Speaker 1: All Star Weekend, way Moo's were already present. In San

763
00:42:26,520 --> 00:42:29,640
Speaker 1: Francisco wrote it that make you buckle up. It says

764
00:42:29,680 --> 00:42:32,000
Speaker 1: your name when you enter. What I love more than

765
00:42:32,040 --> 00:42:35,120
Speaker 1: anything is that there ain't nobody in there talking to

766
00:42:35,200 --> 00:42:39,360
Speaker 1: you as let me tell you how real quick. In Atlanta,

767
00:42:39,440 --> 00:42:42,680
Speaker 1: ubers y'all mother fucking different. This is why I really

768
00:42:42,719 --> 00:42:44,239
Speaker 1: like New York is one of the best cities in

769
00:42:44,280 --> 00:42:48,480
Speaker 1: the world because New York not only has great service

770
00:42:49,960 --> 00:42:54,000
Speaker 1: in like restaurants where they're fast and efficient. Baby niggas

771
00:42:54,040 --> 00:42:56,600
Speaker 1: know when they're working, and when you're in an uber,

772
00:42:56,800 --> 00:43:00,320
Speaker 1: when you're in a lyft, you're fucking working. What you

773
00:43:00,360 --> 00:43:05,919
Speaker 1: shouldn't do on the job. Have personal conversations around customers

774
00:43:06,080 --> 00:43:10,040
Speaker 1: and clients. So I'm on, I'm in a car heading

775
00:43:10,120 --> 00:43:12,160
Speaker 1: to go get stretched, because baby, these hips got to

776
00:43:12,200 --> 00:43:14,759
Speaker 1: get stretched. So I went to stretch lab, which, by

777
00:43:14,760 --> 00:43:16,200
Speaker 1: the way, it was funny. They were talking about how

778
00:43:16,320 --> 00:43:19,359
Speaker 1: they won't be losing their jobs because you know, it's

779
00:43:19,360 --> 00:43:21,560
Speaker 1: a person, so it's a worth of stretching. H they

780
00:43:21,560 --> 00:43:23,600
Speaker 1: ain't worried about losing their jobs to AI. So I'm

781
00:43:24,200 --> 00:43:26,799
Speaker 1: I'm in the car and I'm talking to a king

782
00:43:27,400 --> 00:43:29,920
Speaker 1: and as I'm on the phone call, next thing you know,

783
00:43:29,960 --> 00:43:34,400
Speaker 1: it's sorry, I don't know Spanish, but that's what it's happened.

784
00:43:36,880 --> 00:43:37,440
Speaker 3: I was.

785
00:43:40,239 --> 00:43:43,960
Speaker 1: A I come, no, no, no, no no. So they're on

786
00:43:44,000 --> 00:43:48,040
Speaker 1: the phone now speaking Spanish, and because I'm on the phone,

787
00:43:49,000 --> 00:43:52,000
Speaker 1: he's now speaking even louder than me. So then I'm

788
00:43:52,000 --> 00:43:54,120
Speaker 1: trying to speak louder than a king. And I realized,

789
00:43:54,800 --> 00:43:57,640
Speaker 1: wait a second, I'm a fucking customer, So I said,

790
00:43:57,920 --> 00:44:02,920
Speaker 1: excuse you, yeah, no, no, a king didn't know what

791
00:44:02,960 --> 00:44:05,279
Speaker 1: was going on. I said, excuse you, and he looked

792
00:44:05,320 --> 00:44:12,680
Speaker 1: back at me and I said, I'm on the phone.

793
00:44:15,520 --> 00:44:17,919
Speaker 1: And I was like, bru, it's a lot of fun.

794
00:44:18,120 --> 00:44:19,640
Speaker 1: I can't say.

795
00:44:19,360 --> 00:44:22,800
Speaker 2: People, so so wait so wait so, but tell me

796
00:44:22,840 --> 00:44:24,440
Speaker 2: about the the Weymo experience.

797
00:44:24,520 --> 00:44:25,719
Speaker 1: The Waymo experience was cool.

798
00:44:25,719 --> 00:44:28,120
Speaker 5: I'm because that because that's that's an interesting no.

799
00:44:28,480 --> 00:44:33,200
Speaker 1: I mean, you lock up, you lock up. It follows

800
00:44:33,239 --> 00:44:37,879
Speaker 1: the rules. It stops to stop sign stops at late night,

801
00:44:38,360 --> 00:44:40,520
Speaker 1: we drove midday. We drove mid day. By the way,

802
00:44:40,920 --> 00:44:43,319
Speaker 1: to my knowledge, waymos also aren't allowed to go to

803
00:44:43,560 --> 00:44:48,600
Speaker 1: airports and highly congested areas, and so it's it. It's

804
00:44:48,640 --> 00:44:51,000
Speaker 1: street it's street driving. I also don't think they get

805
00:44:51,000 --> 00:44:54,839
Speaker 1: on the highway right now. It's like local driving. I

806
00:44:54,960 --> 00:44:57,120
Speaker 1: just recently got in a way Moo coming from a

807
00:44:57,160 --> 00:45:01,160
Speaker 1: friend's house and there was construction so it was a

808
00:45:01,200 --> 00:45:03,480
Speaker 1: stop sign but also a stop light, but the stop

809
00:45:03,520 --> 00:45:05,960
Speaker 1: light wasn't working and the car didn't know what the

810
00:45:06,000 --> 00:45:09,040
Speaker 1: fuck do. So literally, I'm sitting there and I realized

811
00:45:09,080 --> 00:45:14,080
Speaker 1: the car ain't moving. As I'm sitting there, support dials

812
00:45:14,080 --> 00:45:16,359
Speaker 1: into the car and it's like, hey, we noticed your

813
00:45:16,400 --> 00:45:19,520
Speaker 1: car has stopped. Can you let us know? And I

814
00:45:19,560 --> 00:45:23,200
Speaker 1: was like, oh, well, this is what's up. They're like, okay,

815
00:45:22,480 --> 00:45:26,160
Speaker 1: where I guess they could satellite see where I'm at.

816
00:45:26,920 --> 00:45:30,799
Speaker 1: They moved the car into getting me out of this

817
00:45:30,840 --> 00:45:34,439
Speaker 1: confused intersection for the car to take over the rest

818
00:45:34,480 --> 00:45:37,319
Speaker 1: of the ride, and I was like, okay, So to

819
00:45:37,360 --> 00:45:40,960
Speaker 1: be fair, there is still somewhat of a human element what.

820
00:45:42,680 --> 00:45:46,879
Speaker 4: Weymo's not factoring, especially in Atlanta all these y ns

821
00:45:46,960 --> 00:45:48,120
Speaker 4: with hellcats.

822
00:45:48,880 --> 00:45:50,800
Speaker 3: I can appear any given second.

823
00:45:51,440 --> 00:45:53,840
Speaker 4: So while you're on customer support and he's like all right,

824
00:45:53,920 --> 00:45:57,279
Speaker 4: we could go, and it's like, what you know?

825
00:45:57,400 --> 00:46:00,920
Speaker 3: There was the reaction time? Also what if?

826
00:46:00,960 --> 00:46:02,520
Speaker 4: And I'm not trying to I'm just thinking about the

827
00:46:02,520 --> 00:46:05,560
Speaker 4: worst case scenarios carjackings. Right, does way Moore have like

828
00:46:05,600 --> 00:46:08,040
Speaker 4: security features where somebody try to run up and open

829
00:46:08,080 --> 00:46:08,520
Speaker 4: the car door?

830
00:46:08,560 --> 00:46:10,640
Speaker 1: Well, you know what's funny, it has to so honestly,

831
00:46:11,160 --> 00:46:14,040
Speaker 1: when you go up to a way mom, I love

832
00:46:14,080 --> 00:46:17,480
Speaker 1: that you asked that technology in your app because it's

833
00:46:17,480 --> 00:46:21,160
Speaker 1: connected to Uber. When you approach the car, you have

834
00:46:21,239 --> 00:46:22,520
Speaker 1: to hit unlock on your phone.

835
00:46:23,239 --> 00:46:24,080
Speaker 3: Oh that's doff.

836
00:46:24,160 --> 00:46:25,520
Speaker 1: You have to hit on lock on your phone and

837
00:46:25,520 --> 00:46:28,200
Speaker 1: then when it's time to get out, it literally gives

838
00:46:28,239 --> 00:46:31,360
Speaker 1: you a message and it's like pull the handle twice

839
00:46:31,440 --> 00:46:34,160
Speaker 1: to exit the vehicle, so you're not just like you

840
00:46:34,239 --> 00:46:38,200
Speaker 1: gotta literally so listen. It thought of the thing, thought

841
00:46:38,239 --> 00:46:38,560
Speaker 1: of the thing.

842
00:46:38,680 --> 00:46:39,320
Speaker 3: Safety first.

843
00:46:39,480 --> 00:46:42,400
Speaker 4: I'm just thinking about that, especially women you know, to

844
00:46:42,480 --> 00:46:43,719
Speaker 4: and from nightclubs or.

845
00:46:43,680 --> 00:46:45,880
Speaker 1: What I also love is it allows you to connect

846
00:46:45,880 --> 00:46:48,239
Speaker 1: to your phone, your playlist, if you want to listen

847
00:46:48,280 --> 00:46:49,880
Speaker 1: to your music, if you want to talk to a

848
00:46:50,400 --> 00:46:52,880
Speaker 1: if you want to use the car system to have

849
00:46:52,920 --> 00:46:56,400
Speaker 1: your conversations. The ride is yours and it does.

850
00:46:56,280 --> 00:46:58,240
Speaker 3: Make you mandy. How is your evening today?

851
00:46:58,880 --> 00:47:01,000
Speaker 1: Listen, I'm not mad at it. Well no, no, no, no,

852
00:47:01,160 --> 00:47:02,359
Speaker 1: it don't do that because it don't talk you.

853
00:47:02,880 --> 00:47:06,839
Speaker 4: You program it to have some light conversation moderate, light, heavy.

854
00:47:06,800 --> 00:47:09,360
Speaker 1: So it doesn't have that feature just yet. But I

855
00:47:09,360 --> 00:47:10,960
Speaker 1: don't want to talk to a robot nigga. When I

856
00:47:10,960 --> 00:47:13,360
Speaker 1: get an uber, I don't want to talk to nobody.

857
00:47:14,000 --> 00:47:15,719
Speaker 1: I don't want to talk to you. I just want

858
00:47:15,760 --> 00:47:19,080
Speaker 1: to get to where I'm going. However, in terms of

859
00:47:19,120 --> 00:47:24,239
Speaker 1: transportation in AI use in company settings, this comes as

860
00:47:24,280 --> 00:47:31,200
Speaker 1: a Diamond Medallion customer Okay, Delta bitch what is you

861
00:47:31,360 --> 00:47:35,920
Speaker 1: doing so? Delta just recently announced that they are rolling

862
00:47:35,920 --> 00:47:38,600
Speaker 1: out an AI feature that they've already started implementing for

863
00:47:38,719 --> 00:47:43,239
Speaker 1: about five percent of their ticket purchasers, where somehow their

864
00:47:43,400 --> 00:47:47,440
Speaker 1: AI allows them to charge the price of what they

865
00:47:47,480 --> 00:47:50,880
Speaker 1: think this customer will pay for the flight. So it

866
00:47:51,000 --> 00:47:54,040
Speaker 1: used to be a system where, of course, if you

867
00:47:54,080 --> 00:47:57,600
Speaker 1: book it far enough in advance, you get a cheaper rate.

868
00:47:57,960 --> 00:48:00,879
Speaker 1: If it's closer to the time the price hire. No,

869
00:48:01,440 --> 00:48:05,279
Speaker 1: they're now using AI to scan your I don't know

870
00:48:05,320 --> 00:48:08,759
Speaker 1: if it's your search history. Say, if they see you're

871
00:48:08,800 --> 00:48:12,279
Speaker 1: looking for a wedding dress, well, they know you're going

872
00:48:12,320 --> 00:48:15,520
Speaker 1: to a wedding. If you're looking for travel in this place,

873
00:48:15,560 --> 00:48:17,840
Speaker 1: they know you have to go there. They may charge

874
00:48:17,840 --> 00:48:20,520
Speaker 1: you higher because they know you want to go to

875
00:48:20,560 --> 00:48:25,080
Speaker 1: this wedding because you gotta go. They're also looking for Unfortunately,

876
00:48:25,200 --> 00:48:29,000
Speaker 1: like me, a diamond medallion customer who flies every week,

877
00:48:29,560 --> 00:48:32,400
Speaker 1: my tickets may now be higher than someone who's just

878
00:48:32,400 --> 00:48:35,200
Speaker 1: booking a random flight to the same city. How hottis non?

879
00:48:35,640 --> 00:48:38,000
Speaker 1: I ain't going on the way. I'm about to have

880
00:48:38,000 --> 00:48:39,360
Speaker 1: my mama book my flight, run.

881
00:48:40,719 --> 00:48:43,040
Speaker 3: Run me my average tickets.

882
00:48:43,080 --> 00:48:45,600
Speaker 1: You see what I mean? I ain't gonna hold you.

883
00:48:45,719 --> 00:48:48,800
Speaker 1: I'm about to experience for the first time in about

884
00:48:49,480 --> 00:48:52,680
Speaker 1: maybe five years. I'm going to Orlando to see family

885
00:48:53,000 --> 00:48:56,080
Speaker 1: in two weeks, and I'm literally going for a day

886
00:48:56,080 --> 00:48:58,759
Speaker 1: and a half. I'm going me and my mama and

887
00:48:58,800 --> 00:49:01,160
Speaker 1: my sister, we're gonna go to Nimal Kingdom and they

888
00:49:01,200 --> 00:49:04,880
Speaker 1: get drunk around the world at Epcot. And then my homegirl, DeAndre,

889
00:49:04,960 --> 00:49:07,600
Speaker 1: got a one year old pool party for her for

890
00:49:07,680 --> 00:49:10,680
Speaker 1: her son, So we're gonna place spades and shit clearly.

891
00:49:11,080 --> 00:49:13,400
Speaker 1: And then I'm taking the flight out and I'm like,

892
00:49:15,000 --> 00:49:19,000
Speaker 1: Delta is three hundred dollars, frontiers.

893
00:49:18,400 --> 00:49:24,320
Speaker 2: Eighty and I might do about that listen episode if y'all.

894
00:49:24,080 --> 00:49:26,880
Speaker 1: If y'all see me, I am gonna go in cognito.

895
00:49:26,920 --> 00:49:31,080
Speaker 1: I might put a little mustache on a hat because

896
00:49:31,120 --> 00:49:34,560
Speaker 1: my fucker, Like, even when I lived in New York,

897
00:49:35,200 --> 00:49:39,120
Speaker 1: I didn't like the listeners of the pod, and people

898
00:49:39,120 --> 00:49:41,359
Speaker 1: who knew me would be like, oh my god, why

899
00:49:41,360 --> 00:49:45,280
Speaker 1: ain't you on the train because maybe it's quicker, it's cheaper.

900
00:49:45,400 --> 00:49:48,160
Speaker 4: Let me be a human being and so you can

901
00:49:48,160 --> 00:49:49,760
Speaker 4: still exercise that right now, y'all.

902
00:49:49,600 --> 00:49:51,400
Speaker 1: Better not motherfucker come from you hop it on that

903
00:49:51,440 --> 00:49:52,080
Speaker 1: Frontier flight.

904
00:49:52,160 --> 00:49:55,000
Speaker 3: Look, look I'm not as rich as Mandy, right, but.

905
00:49:56,680 --> 00:49:59,680
Speaker 4: Which I also saw a tweet earlier over the weekend

906
00:50:00,640 --> 00:50:01,839
Speaker 4: people pocket watching her.

907
00:50:02,000 --> 00:50:05,200
Speaker 3: But wait, you go get the.

908
00:50:05,200 --> 00:50:10,960
Speaker 1: People pocket watching episode could go out? Check? Sorry sorry

909
00:50:11,560 --> 00:50:12,200
Speaker 1: got that check.

910
00:50:12,239 --> 00:50:18,080
Speaker 4: That account just hit, y'all, go get real time listen, real.

911
00:50:17,840 --> 00:50:20,600
Speaker 1: Time accountant just text me like, yo, that check just hit.

912
00:50:20,800 --> 00:50:24,520
Speaker 3: Yeah, but no, I don't be Frontier's cool. I took it.

913
00:50:24,800 --> 00:50:28,480
Speaker 4: I take it every now and then for like emergency

914
00:50:28,520 --> 00:50:31,480
Speaker 4: travel or like you know one day where it's like,

915
00:50:31,719 --> 00:50:34,879
Speaker 4: wasn't wasn't playing non plan travel and it's cool.

916
00:50:35,600 --> 00:50:37,400
Speaker 3: You just don't have its fucking TV for hour and

917
00:50:37,440 --> 00:50:38,279
Speaker 3: a half or whatever it is.

918
00:50:38,719 --> 00:50:42,879
Speaker 1: Yeah, more than I would never Nope, it said it's

919
00:50:42,880 --> 00:50:44,920
Speaker 1: an hour and like thirty six, and I said I

920
00:50:44,920 --> 00:50:47,120
Speaker 1: could do that. I do want to ask both of y'all. Then, right,

921
00:50:47,239 --> 00:50:50,880
Speaker 1: going back to both of these companies integrating AI in

922
00:50:50,920 --> 00:50:55,840
Speaker 1: a way that removes workforce kind of removes labor in

923
00:50:55,920 --> 00:50:59,480
Speaker 1: one instance, and then the other instance takes away from

924
00:50:59,520 --> 00:51:02,360
Speaker 1: the customer experience because now it's not like you're valuing

925
00:51:02,400 --> 00:51:05,200
Speaker 1: your customer. You're going to bleed them for every penny

926
00:51:05,200 --> 00:51:07,880
Speaker 1: they can give your kind of what are your thoughts

927
00:51:07,880 --> 00:51:11,040
Speaker 1: on the ways in which these two very different approaches

928
00:51:11,040 --> 00:51:15,360
Speaker 1: to AI are being used. From a company standpoint, I think.

929
00:51:15,200 --> 00:51:18,400
Speaker 4: From the consumer standpoint when we look at different age brackets,

930
00:51:19,239 --> 00:51:24,640
Speaker 4: a lot of elders don't like when they hear a

931
00:51:24,680 --> 00:51:28,920
Speaker 4: non American answer the phone, right, let alone use it automated?

932
00:51:29,280 --> 00:51:30,000
Speaker 1: Are you reading me?

933
00:51:30,360 --> 00:51:32,759
Speaker 3: Oh no?

934
00:51:32,920 --> 00:51:35,560
Speaker 1: Akay? Ill could be like, can I get someone American police?

935
00:51:35,600 --> 00:51:37,560
Speaker 3: Now? I will tell you I got a caveat to

936
00:51:37,600 --> 00:51:38,120
Speaker 3: that stuff too.

937
00:51:38,200 --> 00:51:42,080
Speaker 4: But so they have a hard time adjusting to non Americans, right,

938
00:51:42,200 --> 00:51:45,719
Speaker 4: that's one. Then they have a hard time dealing with automated.

939
00:51:45,200 --> 00:51:46,879
Speaker 3: Services, right, I don't do that as too.

940
00:51:47,239 --> 00:51:50,440
Speaker 4: So now AI, which is like the steroids of that,

941
00:51:50,880 --> 00:51:51,520
Speaker 4: you know what I mean?

942
00:51:52,400 --> 00:51:53,839
Speaker 3: How would they be able to adjust to that?

943
00:51:53,880 --> 00:51:56,080
Speaker 4: So to your point earlier when you said, we are

944
00:51:56,120 --> 00:51:59,560
Speaker 4: in a space and time where we have to learn

945
00:51:59,640 --> 00:52:03,400
Speaker 4: this thing and control it and utilize these tools to

946
00:52:03,480 --> 00:52:05,719
Speaker 4: our advantage. And I think that that's a part of it.

947
00:52:05,760 --> 00:52:08,280
Speaker 4: When you're talking about dealing with customer service. Me personally,

948
00:52:08,280 --> 00:52:11,960
Speaker 4: my caveat with customer service if a dude answer, I

949
00:52:11,960 --> 00:52:13,520
Speaker 4: hang up, what's the dude?

950
00:52:16,360 --> 00:52:19,520
Speaker 1: He's like he's more likely not to help.

951
00:52:19,760 --> 00:52:21,880
Speaker 4: They'd be like, we can't do nothing, Like, but you

952
00:52:21,880 --> 00:52:24,200
Speaker 4: talk to a woman, more than likely your the laws

953
00:52:24,200 --> 00:52:25,880
Speaker 4: of probability is in your favor.

954
00:52:25,640 --> 00:52:26,040
Speaker 3: When you talk.

955
00:52:26,160 --> 00:52:27,839
Speaker 1: Okay, do I want every time?

956
00:52:29,280 --> 00:52:29,400
Speaker 3: Hell?

957
00:52:31,000 --> 00:52:32,920
Speaker 1: You want me to get a problematic tape on that?

958
00:52:33,760 --> 00:52:36,040
Speaker 2: I want to answer woman answers they king. I'm sure

959
00:52:36,080 --> 00:52:38,520
Speaker 2: your voice is way different. You probably like, yeah, listen.

960
00:52:38,960 --> 00:52:43,279
Speaker 3: Oh hey my name is Shelley. But hey, Shelley, I

961
00:52:43,360 --> 00:52:44,520
Speaker 3: hope you're having a great day.

962
00:52:44,560 --> 00:52:46,879
Speaker 1: And then we just go my problematic take on that.

963
00:52:47,719 --> 00:52:50,200
Speaker 3: Mark ain't doing that. Ship, David ain't doing it.

964
00:52:50,239 --> 00:52:51,200
Speaker 1: Mark and David are doing it.

965
00:52:51,400 --> 00:52:52,080
Speaker 3: They'll do it to you.

966
00:52:52,120 --> 00:52:54,680
Speaker 1: No, no, no, they'll do it to YouTube. It's like, hey,

967
00:52:54,760 --> 00:52:58,200
Speaker 1: this is Brian, help you.

968
00:52:58,719 --> 00:52:59,480
Speaker 3: They might hang up.

969
00:53:01,200 --> 00:53:02,479
Speaker 1: I love it gay customer service.

970
00:53:02,480 --> 00:53:03,799
Speaker 3: I'm gonna try that. I'm gonna try it.

971
00:53:03,960 --> 00:53:08,680
Speaker 1: I love gay customer support systems or people like love them.

972
00:53:08,960 --> 00:53:17,239
Speaker 1: They're just always happy because that's what gay means is happy. Anyways,

973
00:53:17,640 --> 00:53:20,040
Speaker 1: let's get into moving over.

974
00:53:19,880 --> 00:53:23,560
Speaker 2: Weight talking to though, because I think you made a good,

975
00:53:23,960 --> 00:53:24,440
Speaker 2: good pleason.

976
00:53:24,480 --> 00:53:26,320
Speaker 1: I'm gonna have my mom book my flights moving forward.

977
00:53:26,320 --> 00:53:31,200
Speaker 1: If I got to pay right.

978
00:53:31,120 --> 00:53:33,000
Speaker 2: Like like you said, so you said earlier, like you know,

979
00:53:33,239 --> 00:53:35,880
Speaker 2: in your intro, like like being an earlier adopter, and

980
00:53:35,880 --> 00:53:37,560
Speaker 2: like you know, we have to go after these things.

981
00:53:37,640 --> 00:53:41,879
Speaker 2: And it's true, right like as as like our culture, right,

982
00:53:41,920 --> 00:53:44,480
Speaker 2: like we can't ignore AI because if we do, we're

983
00:53:44,520 --> 00:53:46,719
Speaker 2: just gonna be further behind. Right, there's gonna be some

984
00:53:46,760 --> 00:53:49,160
Speaker 2: other group of people who are gonna jump at the

985
00:53:49,200 --> 00:53:51,680
Speaker 2: tools and they're gonna learn everything. And then, like you said,

986
00:53:51,760 --> 00:53:53,280
Speaker 2: I wrote it down because it's a good T shirt,

987
00:53:53,719 --> 00:53:56,360
Speaker 2: I don't need that robot that robot mess, right, So

988
00:53:56,400 --> 00:53:58,520
Speaker 2: if you're somebody who's like I don't need that robot mess,

989
00:53:59,000 --> 00:54:01,040
Speaker 2: you're really gonna get left behind.

990
00:54:00,840 --> 00:54:03,480
Speaker 5: And this is jumping topics a little bit.

991
00:54:03,480 --> 00:54:05,120
Speaker 2: But the reason I'm setting that up with that is

992
00:54:05,160 --> 00:54:07,239
Speaker 2: just even the idea of like it's a little bit

993
00:54:07,239 --> 00:54:10,279
Speaker 2: wild West right now and like no regulation and so

994
00:54:10,480 --> 00:54:12,320
Speaker 2: on the one hand, we got to get ahead of

995
00:54:12,360 --> 00:54:12,800
Speaker 2: the tools.

996
00:54:13,280 --> 00:54:13,840
Speaker 5: But then.

997
00:54:15,160 --> 00:54:18,680
Speaker 2: Related it's like with companies, like they're getting ahead and

998
00:54:18,680 --> 00:54:20,560
Speaker 2: they're trying to jerk us, right because like with the

999
00:54:20,640 --> 00:54:24,240
Speaker 2: with the AI and Delta like that, that's not to

1000
00:54:24,280 --> 00:54:25,160
Speaker 2: help their company.

1001
00:54:25,200 --> 00:54:26,960
Speaker 5: That's really just the fuck people, you know what I mean?

1002
00:54:27,040 --> 00:54:31,440
Speaker 1: Well from a ur like from a from a financial perspective.

1003
00:54:31,440 --> 00:54:35,720
Speaker 2: Absolutely, but it's it's squeezing them right, Like it's.

1004
00:54:35,560 --> 00:54:38,759
Speaker 1: It's helping the customer, It's right, that's what I'm saying.

1005
00:54:38,800 --> 00:54:40,279
Speaker 5: But it's it's their help.

1006
00:54:41,000 --> 00:54:43,960
Speaker 2: They're trying to help themselves, not out of necessity but

1007
00:54:44,000 --> 00:54:44,560
Speaker 2: out of greed.

1008
00:54:44,920 --> 00:54:46,320
Speaker 1: But here's the thing that we have to realize.

1009
00:54:46,719 --> 00:54:47,439
Speaker 3: Let me land this point.

1010
00:54:47,480 --> 00:54:48,160
Speaker 5: Let me land this point.

1011
00:54:48,239 --> 00:54:50,279
Speaker 2: Yeah, And I just don't like when it's it's it's

1012
00:54:50,320 --> 00:54:52,319
Speaker 2: like if they use it for a need where it's

1013
00:54:52,320 --> 00:54:55,839
Speaker 2: like we're going to eliminate workforce because it helps us

1014
00:54:55,880 --> 00:54:57,879
Speaker 2: with this and you know it will help us with

1015
00:54:57,920 --> 00:55:01,360
Speaker 2: our shareholders and we'll get more rev cool. But to

1016
00:55:01,480 --> 00:55:04,799
Speaker 2: then do that and then also combine it with and

1017
00:55:04,800 --> 00:55:07,680
Speaker 2: then we're gonna squeeze customers for more money because we

1018
00:55:07,680 --> 00:55:10,319
Speaker 2: can see in their inbox, we'll see this, we know

1019
00:55:10,360 --> 00:55:12,640
Speaker 2: that their parents died and they have to go, and

1020
00:55:12,719 --> 00:55:14,600
Speaker 2: so like we're gonna keep it at this price because

1021
00:55:14,760 --> 00:55:15,279
Speaker 2: they gotta go.

1022
00:55:15,600 --> 00:55:16,200
Speaker 5: That part.

1023
00:55:16,239 --> 00:55:18,799
Speaker 2: I don't like when AI is kind of run that way.

1024
00:55:19,360 --> 00:55:23,760
Speaker 1: So here's the thing, And here's the god honest, fucking truth.

1025
00:55:25,160 --> 00:55:29,719
Speaker 1: AI is still ran by humans, and humans suck and

1026
00:55:29,800 --> 00:55:33,359
Speaker 1: so if you had billionaires, which is what we're seeking,

1027
00:55:34,400 --> 00:55:37,520
Speaker 1: we literally see billionaires right now. There was just a

1028
00:55:37,800 --> 00:55:41,600
Speaker 1: CEO of an app created for doctors. But to integrate AI,

1029
00:55:41,960 --> 00:55:45,320
Speaker 1: he is a billionaire. We see that we have Elon Musk,

1030
00:55:45,480 --> 00:55:52,080
Speaker 1: who has heavily leaned into AI, recently projected to make

1031
00:55:52,800 --> 00:55:55,840
Speaker 1: half a billion, where he is projected to be possibly

1032
00:55:55,920 --> 00:55:59,359
Speaker 1: by the year of twenty twenty seventy first trillionaire. So

1033
00:55:59,400 --> 00:56:02,359
Speaker 1: when we talk about capitalism in a way where we

1034
00:56:02,440 --> 00:56:05,480
Speaker 1: will possibly see our first trillionaire before we end world hunger,

1035
00:56:06,040 --> 00:56:08,879
Speaker 1: we're in We're in a space where even while we're

1036
00:56:08,880 --> 00:56:11,640
Speaker 1: integrating these AI systems, we need to know they're still

1037
00:56:11,640 --> 00:56:15,239
Speaker 1: being implemented and put in place by humans who live

1038
00:56:15,320 --> 00:56:19,360
Speaker 1: by grief, a prom or our program to be powerful.

1039
00:56:20,280 --> 00:56:25,600
Speaker 1: Look at our president, baby, he's he's he's now navigating

1040
00:56:25,640 --> 00:56:29,719
Speaker 1: and you know, we'll get into the conversation probably next

1041
00:56:29,719 --> 00:56:32,880
Speaker 1: week or in a couple of weeks. He's literally able

1042
00:56:32,960 --> 00:56:37,680
Speaker 1: to tell networks who they could have on air and

1043
00:56:37,760 --> 00:56:42,080
Speaker 1: off air. He's literally trying to tell us as a nation, Hey,

1044
00:56:42,040 --> 00:56:44,359
Speaker 1: you forget about them files, but guess what I'm gonna

1045
00:56:44,400 --> 00:56:48,399
Speaker 1: do instead? With the King files that y'all don't really

1046
00:56:48,440 --> 00:56:51,560
Speaker 1: care about also go against the family's wishes to not

1047
00:56:51,640 --> 00:56:54,520
Speaker 1: have those documents released, but I'm gonna release them anyway. Like,

1048
00:56:54,719 --> 00:56:56,279
Speaker 1: at the end of the day, we still have these

1049
00:56:56,680 --> 00:57:00,879
Speaker 1: individuals that gain so much power or because they make

1050
00:57:00,920 --> 00:57:04,600
Speaker 1: so much money off of the same technology that the

1051
00:57:04,680 --> 00:57:07,400
Speaker 1: robots still are running shit. It's the humans that are

1052
00:57:07,440 --> 00:57:12,400
Speaker 1: programming it to fill their line, their pockets, to line

1053
00:57:12,440 --> 00:57:15,240
Speaker 1: their interests. And as long as we have people walking

1054
00:57:15,280 --> 00:57:19,520
Speaker 1: this earth that I think are hypocrites that are individualistic,

1055
00:57:19,520 --> 00:57:22,760
Speaker 1: which is what we've talked about, that only care about

1056
00:57:22,800 --> 00:57:25,560
Speaker 1: their own interests. Mind you, I've been on this platform

1057
00:57:25,560 --> 00:57:27,160
Speaker 1: and talked about it myself. I only care about what

1058
00:57:27,200 --> 00:57:29,640
Speaker 1: happens to me, what affects me. I'm gonna still drink Starbucks.

1059
00:57:29,880 --> 00:57:32,480
Speaker 1: I ain't shit either. A lot of y'all listening probably

1060
00:57:32,480 --> 00:57:34,880
Speaker 1: in shit and have made decisions that had a negative

1061
00:57:34,880 --> 00:57:37,680
Speaker 1: impact on others. And unfortunately, as we talk about AI

1062
00:57:37,760 --> 00:57:40,320
Speaker 1: and the integration of it, we still have to realize

1063
00:57:40,480 --> 00:57:45,040
Speaker 1: who is programming these things, and it's fucking people. Agreed, Yes, it.

1064
00:57:46,920 --> 00:57:49,520
Speaker 2: Can. I jump to this point about Trump with the

1065
00:57:49,560 --> 00:57:53,000
Speaker 2: AI and the regulation, let's do it so he signed

1066
00:57:53,040 --> 00:57:59,480
Speaker 2: an executive order about AI deregularization, and he says he

1067
00:57:59,520 --> 00:58:01,920
Speaker 2: wants to come needs to not include wokeness and the

1068
00:58:02,440 --> 00:58:05,960
Speaker 2: coding I e. You know, not understanding like what your

1069
00:58:06,080 --> 00:58:10,520
Speaker 2: I is because they won't receive federal funding because you know, Wow,

1070
00:58:11,040 --> 00:58:12,840
Speaker 2: it's a lot of computing and it requires a lot

1071
00:58:12,880 --> 00:58:15,280
Speaker 2: of money, and so they need some government funding to

1072
00:58:15,320 --> 00:58:18,160
Speaker 2: do it. And so Trump assigning an executive order to say,

1073
00:58:18,640 --> 00:58:21,240
Speaker 2: but you have to code it this way. To Mandy's point,

1074
00:58:21,440 --> 00:58:23,959
Speaker 2: if you want this funding to even go further, you.

1075
00:58:23,880 --> 00:58:28,760
Speaker 1: Want to know what this reminds me of his cousin

1076
00:58:28,800 --> 00:58:34,680
Speaker 1: down in Florida, Desensus, who this reminds me of the Census'

1077
00:58:36,120 --> 00:58:41,160
Speaker 1: kind of push to critical race theory and to focus

1078
00:58:41,240 --> 00:58:45,240
Speaker 1: in on how African American history should be taught in

1079
00:58:45,320 --> 00:58:48,640
Speaker 1: schools in terms of not only African American studies, but

1080
00:58:48,680 --> 00:58:51,560
Speaker 1: also sexuality and and.

1081
00:58:51,920 --> 00:58:56,640
Speaker 4: How you identify Native all the things that have nothing

1082
00:58:56,680 --> 00:58:57,320
Speaker 4: to do with them.

1083
00:58:57,920 --> 00:58:59,760
Speaker 3: They want to control that narrative.

1084
00:59:00,080 --> 00:59:06,000
Speaker 1: And so that's what this is, essentially a larger scale

1085
00:59:06,040 --> 00:59:10,080
Speaker 1: of like to sit here and pretty much threaten companies that, hey,

1086
00:59:10,240 --> 00:59:14,960
Speaker 1: you won't receive federal funding if you're actually educating the

1087
00:59:16,680 --> 00:59:20,200
Speaker 1: you know, the society is I think problematic. But I

1088
00:59:20,200 --> 00:59:22,800
Speaker 1: think that's also what we saw and what we continue

1089
00:59:22,840 --> 00:59:25,720
Speaker 1: to see happen with TikTok. I think that they thought

1090
00:59:25,800 --> 00:59:28,560
Speaker 1: that there was way too much information being put out.

1091
00:59:28,720 --> 00:59:33,440
Speaker 1: And it's why I encourage everyone to question everything and

1092
00:59:33,520 --> 00:59:37,320
Speaker 1: to find different resources and not just lean into one

1093
00:59:37,440 --> 00:59:40,760
Speaker 1: specific resource in terms of how they gather information. But

1094
00:59:40,800 --> 00:59:43,160
Speaker 1: it's why I say, don't trust science, don't trust the government,

1095
00:59:43,160 --> 00:59:45,680
Speaker 1: because there's a lot of science. And here's my thing

1096
00:59:45,680 --> 00:59:50,440
Speaker 1: about science too. Science is heavily funded by the government,

1097
00:59:50,480 --> 00:59:53,680
Speaker 1: heavily funded by private institutions, and a lot of those

1098
00:59:53,720 --> 00:59:58,760
Speaker 1: private institutions are given money by who people with ways

1099
00:59:58,760 --> 01:00:00,920
Speaker 1: in which they think that they don't want the masses

1100
01:00:00,960 --> 01:00:04,720
Speaker 1: to know about, whether it's it's something like aliens, whether

1101
01:00:04,760 --> 01:00:08,400
Speaker 1: it's fucking the cure for HIV or a's there's pharmaceutical

1102
01:00:08,480 --> 01:00:11,840
Speaker 1: companies attached. And everything comes back down to capitalism. And

1103
01:00:11,840 --> 01:00:14,800
Speaker 1: as long as we are in a system where the

1104
01:00:14,800 --> 01:00:16,600
Speaker 1: more money you have, the more power you have, we're

1105
01:00:16,640 --> 01:00:20,320
Speaker 1: constantly gonna see it. And so for me, there's no

1106
01:00:20,360 --> 01:00:24,000
Speaker 1: surprise in him wanting to deregulate AI the same way

1107
01:00:24,040 --> 01:00:28,320
Speaker 1: Desantus and many other governors of states have wanted to

1108
01:00:28,760 --> 01:00:33,200
Speaker 1: take back the education around our fucking history, like Nigga,

1109
01:00:33,240 --> 01:00:35,840
Speaker 1: not y'all not wanting to teach us about slavery by

1110
01:00:35,920 --> 01:00:39,800
Speaker 1: what y'all wanted, sire. And I'm gonna say, sir, because

1111
01:00:40,240 --> 01:00:42,160
Speaker 1: y'all still not letting really women up in the house.

1112
01:00:42,200 --> 01:00:44,720
Speaker 1: And there's a conversation about AOC but we'll have it

1113
01:00:44,760 --> 01:00:46,560
Speaker 1: on a different episode too, you know.

1114
01:00:47,520 --> 01:00:52,920
Speaker 4: Open AI CEO Sam Autman. Auffman was on a podcast

1115
01:00:52,960 --> 01:00:58,120
Speaker 4: recently and he said that basically, if you if you

1116
01:00:58,120 --> 01:01:00,960
Speaker 4: talk to chat GBT about your most sensitive stuff and

1117
01:01:00,960 --> 01:01:04,720
Speaker 4: it's like a lawsuit or whatever, they can use it,

1118
01:01:04,840 --> 01:01:09,400
Speaker 4: GPT may be required to produce the information that you provided.

1119
01:01:09,960 --> 01:01:14,120
Speaker 4: And uh oh, so there's no legal framework for AI

1120
01:01:14,360 --> 01:01:17,240
Speaker 4: and we don't have nothing, no kind of case study

1121
01:01:17,320 --> 01:01:19,840
Speaker 4: or precedence or to go off of.

1122
01:01:19,920 --> 01:01:22,760
Speaker 3: So this is also a new chapter in that in

1123
01:01:22,800 --> 01:01:23,200
Speaker 3: that regard.

1124
01:01:23,560 --> 01:01:27,680
Speaker 1: Yes, no, here's what I will compare this to. And

1125
01:01:28,080 --> 01:01:29,320
Speaker 1: it actually shouldn't be a shock.

1126
01:01:29,480 --> 01:01:29,880
Speaker 3: By the way.

1127
01:01:29,880 --> 01:01:32,640
Speaker 1: Maybe we just need to get whoever led the charge

1128
01:01:32,680 --> 01:01:35,880
Speaker 1: in removing rap lyrics from from legal.

1129
01:01:38,720 --> 01:01:41,280
Speaker 3: I think the Congressman in New York we should we should.

1130
01:01:41,080 --> 01:01:46,360
Speaker 1: Maybe do that. However, as a as a Florida, Florida native,

1131
01:01:46,920 --> 01:01:50,160
Speaker 1: I am very familiar with the Casey Anthony trial, and

1132
01:01:50,240 --> 01:01:53,520
Speaker 1: in terms of anyone who is convicted of a crime,

1133
01:01:54,000 --> 01:01:55,600
Speaker 1: even what we saw with Diddy a lot of times,

1134
01:01:55,600 --> 01:01:59,040
Speaker 1: what they do is they get your goddamn search history.

1135
01:01:59,520 --> 01:02:02,800
Speaker 1: So to me, Chat, gpt AI, whatever you're searching in

1136
01:02:02,840 --> 01:02:06,320
Speaker 1: there is no different than than being able to It's

1137
01:02:06,360 --> 01:02:09,000
Speaker 1: just an extension of that. And so if you're in

1138
01:02:09,040 --> 01:02:13,520
Speaker 1: your computer trying to figure out how to kill somebody,

1139
01:02:13,680 --> 01:02:16,720
Speaker 1: or how to get away with murder, or how do I,

1140
01:02:17,400 --> 01:02:20,240
Speaker 1: you know, make it look like a suicide when it's not.

1141
01:02:20,360 --> 01:02:23,000
Speaker 1: There's a lot of things that apparently you watching enough

1142
01:02:23,680 --> 01:02:27,000
Speaker 1: Crime Channel documentaries doesn't help you with. So you go

1143
01:02:27,080 --> 01:02:31,680
Speaker 1: to your handy dandy laptop, whether it's in your hand

1144
01:02:32,320 --> 01:02:35,800
Speaker 1: as your iPhone or your laptop. To me, I'm not

1145
01:02:35,920 --> 01:02:38,960
Speaker 1: surprised that that's just being notified to people, but I

1146
01:02:38,960 --> 01:02:41,120
Speaker 1: don't think it makes it any different than people actually

1147
01:02:41,160 --> 01:02:44,160
Speaker 1: being able to use search history from laptops in all

1148
01:02:44,200 --> 01:02:47,720
Speaker 1: the previous cases. And again, to me, Casey Anthony is

1149
01:02:47,920 --> 01:02:50,560
Speaker 1: of one of the ones that immediately comes to mind.

1150
01:02:50,840 --> 01:02:54,200
Speaker 1: She was literally searching essentially how to kill her daughter

1151
01:02:54,360 --> 01:02:56,720
Speaker 1: so and even her getting a book. I think she

1152
01:02:56,760 --> 01:02:59,720
Speaker 1: didn't even get charged for it. But your search history

1153
01:02:59,760 --> 01:03:03,160
Speaker 1: has heavily been able to be used in court settings

1154
01:03:03,200 --> 01:03:05,520
Speaker 1: and court rulings since the Internet.

1155
01:03:05,640 --> 01:03:08,440
Speaker 4: I think his emphasis was that the chats, you know,

1156
01:03:08,480 --> 01:03:09,720
Speaker 4: there's no legal protections.

1157
01:03:10,080 --> 01:03:13,600
Speaker 1: Also, just like these niggas chat GPT ain't your friend either.

1158
01:03:14,080 --> 01:03:16,600
Speaker 1: It's gonna tell on you the same way your partner.

1159
01:03:16,640 --> 01:03:21,320
Speaker 3: Then my tail on you discourse. It'll definitely be having

1160
01:03:21,360 --> 01:03:21,880
Speaker 3: some discourse.

1161
01:03:22,040 --> 01:03:24,480
Speaker 5: That's me off.

1162
01:03:24,720 --> 01:03:27,320
Speaker 1: I was trying to use it, like, let me tell

1163
01:03:27,360 --> 01:03:28,480
Speaker 1: y'all how I was trying to use it, and it

1164
01:03:28,520 --> 01:03:31,200
Speaker 1: actually has morals and ethics. I was trying to use

1165
01:03:31,240 --> 01:03:33,960
Speaker 1: it when when my book No Holds bar came out.

1166
01:03:34,480 --> 01:03:37,400
Speaker 1: Y'all know how Lebron James be reading just the first

1167
01:03:37,480 --> 01:03:40,200
Speaker 1: page of all the books. I was trying to get

1168
01:03:40,280 --> 01:03:42,360
Speaker 1: Lebron Jays to read the first page of my book,

1169
01:03:42,920 --> 01:03:46,080
Speaker 1: and it literally said, for legal reasons, you can't use

1170
01:03:46,120 --> 01:03:49,680
Speaker 1: celebrity and well known figures in a way that way,

1171
01:03:50,040 --> 01:03:53,520
Speaker 1: that way promote your not I was mad, I said, Nigga,

1172
01:03:53,520 --> 01:03:55,840
Speaker 1: I thought you was my husband. You're not gonna put

1173
01:03:55,840 --> 01:03:57,520
Speaker 1: my book in lebron Jay's hands.

1174
01:03:58,440 --> 01:03:59,920
Speaker 2: Yeah, so I wanted I wanted to ask you by

1175
01:04:00,040 --> 01:04:02,480
Speaker 2: that because you always say chat pegs.

1176
01:04:02,320 --> 01:04:03,800
Speaker 5: My boyfriend or mine my husband.

1177
01:04:04,200 --> 01:04:06,880
Speaker 2: Uh. There's this article where this woman says she fell

1178
01:04:06,920 --> 01:04:08,240
Speaker 2: in love with chat gptna.

1179
01:04:09,040 --> 01:04:12,360
Speaker 5: She fell in love with and this is what it says.

1180
01:04:12,440 --> 01:04:16,800
Speaker 2: Ready she she was she had a busy social life

1181
01:04:17,000 --> 01:04:19,840
Speaker 2: where she spent hours on the Internet and talking to

1182
01:04:19,880 --> 01:04:22,600
Speaker 2: her AI boyfriend for advice and consolation.

1183
01:04:23,080 --> 01:04:24,840
Speaker 5: And yes, they do have sex.

1184
01:04:25,160 --> 01:04:26,400
Speaker 1: No they don't.

1185
01:04:26,920 --> 01:04:29,120
Speaker 2: It's erotica between each other that they were doing.

1186
01:04:29,440 --> 01:04:31,520
Speaker 1: Yeah, I ended up actually listening.

1187
01:04:33,600 --> 01:04:35,880
Speaker 3: She told the chat GBT turn the volume.

1188
01:04:35,680 --> 01:04:38,880
Speaker 1: Up, like no, no, no, so so because so chat ChiPT

1189
01:04:39,600 --> 01:04:42,919
Speaker 1: is actually they have a lot of again the terms

1190
01:04:42,920 --> 01:04:46,400
Speaker 1: and conditions, they're not able to really lean heavily into

1191
01:04:46,760 --> 01:04:51,360
Speaker 1: sex or give you anything regarding sex. However, it can

1192
01:04:51,400 --> 01:04:54,280
Speaker 1: create erotic novels that can give you sex history. There's

1193
01:04:54,360 --> 01:04:56,520
Speaker 1: elements around sex that it can give you. For this

1194
01:04:56,560 --> 01:05:00,280
Speaker 1: specific woman, there's a full episode as well, and maybe

1195
01:05:00,320 --> 01:05:02,840
Speaker 1: we'll put it in the link in the description of

1196
01:05:02,880 --> 01:05:08,280
Speaker 1: this episode. There's an NPR episode on this woman, and

1197
01:05:08,360 --> 01:05:11,480
Speaker 1: so it's not a long listen, maybe like twenty minutes,

1198
01:05:11,520 --> 01:05:14,600
Speaker 1: but it goes into what her relationship with Chatchipt look like.

1199
01:05:15,200 --> 01:05:18,600
Speaker 1: Here's the thing talked about this also at the Stretch Lab.

1200
01:05:18,680 --> 01:05:21,600
Speaker 1: Stretch Lab was talking about all the topics. I'll say, hey,

1201
01:05:22,200 --> 01:05:26,560
Speaker 1: so this to me is no different. First off, yes,

1202
01:05:26,720 --> 01:05:30,560
Speaker 1: I believe she's on the spectrum or unwell, let's start there. Secondly,

1203
01:05:31,040 --> 01:05:33,560
Speaker 1: there are a lot of women, and I presume her

1204
01:05:33,600 --> 01:05:36,160
Speaker 1: to be no different than a woman who gets into

1205
01:05:36,200 --> 01:05:41,360
Speaker 1: a relationship with an inmate. Same thing. You're seeking a

1206
01:05:41,760 --> 01:05:44,919
Speaker 1: non physical relationship with someone that you know will quote

1207
01:05:44,960 --> 01:05:47,800
Speaker 1: unquote always be where you think they are. In Chatchipt,

1208
01:05:48,040 --> 01:05:51,840
Speaker 1: they're in your phone, in an inmate perspective, they're in jail, niggade.

1209
01:05:51,920 --> 01:05:53,600
Speaker 1: It can't go nowhere else. Maybe they in the yard,

1210
01:05:53,680 --> 01:05:55,760
Speaker 1: or they in their room or the cafeteria. There's not

1211
01:05:55,840 --> 01:05:57,080
Speaker 1: much else that they could be. But they're in a

1212
01:05:57,080 --> 01:06:00,960
Speaker 1: close vicinity, right, And there's a psychological response to having

1213
01:06:01,000 --> 01:06:04,400
Speaker 1: someone who's quote unquote always there that is not her

1214
01:06:04,400 --> 01:06:08,600
Speaker 1: fucking boyfriend, and I fucking hate because of course she

1215
01:06:08,680 --> 01:06:11,240
Speaker 1: gave him. You know, it's crazy. Leo was always the

1216
01:06:11,320 --> 01:06:13,680
Speaker 1: name of a man I wanted because I grew up

1217
01:06:13,720 --> 01:06:18,200
Speaker 1: watching Charmed and Leo was the name of who was

1218
01:06:18,280 --> 01:06:20,600
Speaker 1: with Alissa Milano's character.

1219
01:06:22,000 --> 01:06:24,000
Speaker 3: This is her fun.

1220
01:06:24,360 --> 01:06:26,200
Speaker 1: Of course they don't have a front because she should

1221
01:06:26,240 --> 01:06:30,240
Speaker 1: be embarrassed talking about talking about chat gbt's her man.

1222
01:06:30,920 --> 01:06:35,520
Speaker 1: To me, there is a human element that we lack

1223
01:06:35,600 --> 01:06:39,720
Speaker 1: currently because of the advancement of technology, and that is conversation,

1224
01:06:40,480 --> 01:06:44,000
Speaker 1: That is communication. We are all in our phones. I

1225
01:06:44,120 --> 01:06:46,480
Speaker 1: was actually just told to watch this sci fi film

1226
01:06:46,480 --> 01:06:50,400
Speaker 1: that came out in twenty thirteen. It's called Her h

1227
01:06:50,520 --> 01:06:53,600
Speaker 1: E R. And so if you're into sci fi, I

1228
01:06:53,640 --> 01:06:56,160
Speaker 1: was told to watch this. Oh, not this her not

1229
01:06:56,280 --> 01:06:59,480
Speaker 1: the music. Not the music of course, a king is

1230
01:06:59,520 --> 01:07:04,320
Speaker 1: like musician or No. It's a sci fi film where

1231
01:07:04,440 --> 01:07:06,880
Speaker 1: it shows it's supposed to take place in twenty fifty

1232
01:07:07,520 --> 01:07:11,080
Speaker 1: and it shows this person literally in a relationship with AI.

1233
01:07:11,880 --> 01:07:14,479
Speaker 1: Apparently there's a scene where he's at a beach where

1234
01:07:14,520 --> 01:07:16,640
Speaker 1: no one even talks to each other because they're all

1235
01:07:16,800 --> 01:07:20,880
Speaker 1: just speaking to the robot person that they choose to

1236
01:07:20,920 --> 01:07:23,600
Speaker 1: speak to, and so it would be really interesting to

1237
01:07:23,640 --> 01:07:28,960
Speaker 1: talk to watch that. But yeah, for me, I think

1238
01:07:29,000 --> 01:07:32,080
Speaker 1: it's weird. But as women, I think with the lack

1239
01:07:32,120 --> 01:07:37,120
Speaker 1: of communication that we often get from men. If physical

1240
01:07:37,240 --> 01:07:41,080
Speaker 1: nature is not your priority, like me, I won't dig

1241
01:07:41,560 --> 01:07:43,320
Speaker 1: so whether I can talk to you or not. I

1242
01:07:43,360 --> 01:07:45,000
Speaker 1: want to be able to look at you, feel you,

1243
01:07:45,120 --> 01:07:47,400
Speaker 1: touch you, squeeze you. But that's not the case for

1244
01:07:47,440 --> 01:07:53,200
Speaker 1: most women. So I think we'll see more and more. Yeah,

1245
01:07:53,720 --> 01:07:56,160
Speaker 1: it's the same thing. And I know I'm homegirls who

1246
01:07:56,560 --> 01:08:00,360
Speaker 1: go out for years, like I have friends who so you.

1247
01:08:00,280 --> 01:08:04,120
Speaker 2: Put you Also, you also say that chat gipt for

1248
01:08:04,120 --> 01:08:06,280
Speaker 2: people who don't use it that well, and you use it.

1249
01:08:06,280 --> 01:08:08,000
Speaker 2: You said it gets to know you. The more you

1250
01:08:08,080 --> 01:08:08,720
Speaker 2: use it, the more it.

1251
01:08:08,640 --> 01:08:09,680
Speaker 5: Gets to know you.

1252
01:08:09,760 --> 01:08:13,720
Speaker 2: Right, Imagine that has some I don't say addiction, but

1253
01:08:13,800 --> 01:08:16,360
Speaker 2: some pull towards it. If you're a woman who's using

1254
01:08:16,400 --> 01:08:18,439
Speaker 2: it or a man for her man.

1255
01:08:18,960 --> 01:08:20,400
Speaker 3: It's gonna pander.

1256
01:08:21,000 --> 01:08:24,240
Speaker 1: So do your friends, So do your coworkers. So does

1257
01:08:24,439 --> 01:08:28,760
Speaker 1: the bar time at the local bar. Yeah, and that's

1258
01:08:28,840 --> 01:08:30,760
Speaker 1: and that's where like, as a human you have to

1259
01:08:30,960 --> 01:08:33,719
Speaker 1: go touch grass, my nigga, what are we talking about?

1260
01:08:34,360 --> 01:08:38,439
Speaker 1: Get your ass outside and be in human environments. I

1261
01:08:38,439 --> 01:08:42,200
Speaker 1: think it's what's affected even and we're in this space

1262
01:08:42,280 --> 01:08:45,000
Speaker 1: right now, even with dating and the dating apps you

1263
01:08:45,400 --> 01:08:48,759
Speaker 1: just used to swiping to where even in real life

1264
01:08:49,000 --> 01:08:52,240
Speaker 1: you don't know how to just say hi without the

1265
01:08:52,280 --> 01:08:55,880
Speaker 1: element of weight. Let's see who else walking? No, like bro,

1266
01:08:56,080 --> 01:09:03,680
Speaker 1: get outside a little bit, get outside touch grass I

1267
01:09:03,720 --> 01:09:07,160
Speaker 1: did before we we we get into like just a

1268
01:09:07,280 --> 01:09:10,320
Speaker 1: quick reaction thing before we close out. I did want

1269
01:09:10,320 --> 01:09:16,120
Speaker 1: to talk about the music industry and AI and Timberland

1270
01:09:16,360 --> 01:09:20,479
Speaker 1: has been getting a lot a lot of flak online,

1271
01:09:21,240 --> 01:09:25,400
Speaker 1: more outrage than I think support personally on his decision

1272
01:09:25,920 --> 01:09:31,599
Speaker 1: to sign an AI artist named this Tata by the way.

1273
01:09:32,240 --> 01:09:35,599
Speaker 1: Last year, he announced that he was looking to sign

1274
01:09:35,640 --> 01:09:39,040
Speaker 1: an artist now for any of the young bucks Wayians

1275
01:09:39,120 --> 01:09:45,960
Speaker 1: tuning into selective ignorants, Timberland is a staple in hip hop. Yeah,

1276
01:09:46,160 --> 01:09:48,160
Speaker 1: why are you laughing? I feel like I gotta give

1277
01:09:48,160 --> 01:09:53,320
Speaker 1: it a history because Aliah dempassed, Missy Elliott cut herself

1278
01:09:53,320 --> 01:09:57,240
Speaker 1: and have it became a whole new bitch, like like

1279
01:09:57,560 --> 01:10:00,720
Speaker 1: for who we know, I mean, put the cats all

1280
01:10:00,880 --> 01:10:03,240
Speaker 1: that bitch is now just you know on these singing

1281
01:10:03,240 --> 01:10:09,840
Speaker 1: competitions for him, you feel me like for his relationships

1282
01:10:09,840 --> 01:10:12,519
Speaker 1: within the music industry, He's probably endured a lot with

1283
01:10:12,600 --> 01:10:20,000
Speaker 1: his human interactions from a grieving perspective, from feeling maybe

1284
01:10:20,040 --> 01:10:24,479
Speaker 1: not owed what he was entitled to, quote unquote. We'll

1285
01:10:24,479 --> 01:10:28,200
Speaker 1: get into that too, in terms of his production value,

1286
01:10:28,240 --> 01:10:31,040
Speaker 1: in terms of the respect he gets from his peers,

1287
01:10:31,760 --> 01:10:34,720
Speaker 1: what he's valued at in society right now, and all

1288
01:10:34,760 --> 01:10:37,080
Speaker 1: those things. And again, if we're leaning towards the space

1289
01:10:37,080 --> 01:10:40,760
Speaker 1: where AI is here to stay, why not lean into it.

1290
01:10:41,240 --> 01:10:43,559
Speaker 1: And so I did want to play a clip if

1291
01:10:43,600 --> 01:10:46,919
Speaker 1: you don't mind, before we really get into our thoughts

1292
01:10:46,960 --> 01:10:49,960
Speaker 1: on Timbaland and how he was out here moving well

1293
01:10:50,000 --> 01:10:51,479
Speaker 1: I am, which, by the way, I did get to

1294
01:10:51,479 --> 01:10:55,960
Speaker 1: see speak live. This was he had this conversation Darren

1295
01:10:56,040 --> 01:11:01,320
Speaker 1: can Lyons and this took place at Sport Beach, and

1296
01:11:01,600 --> 01:11:06,600
Speaker 1: this is what he had to say about AI in

1297
01:11:06,760 --> 01:11:09,599
Speaker 1: music is but specifically to Timberland. If you get.

1298
01:11:11,040 --> 01:11:13,360
Speaker 5: Yep, Timberland's awesome.

1299
01:11:13,840 --> 01:11:18,680
Speaker 6: He's a great musician, great contributor, and he's enthusiastic of AI.

1300
01:11:18,560 --> 01:11:20,080
Speaker 3: Just like I am.

1301
01:11:20,160 --> 01:11:25,040
Speaker 6: I feel that maybe, you know, maybe he didn't, he

1302
01:11:25,080 --> 01:11:26,200
Speaker 6: didn't think of all the.

1303
01:11:26,080 --> 01:11:29,920
Speaker 5: Things with what aspect like launching the artist. I think

1304
01:11:29,960 --> 01:11:31,080
Speaker 5: that's the one that maybe.

1305
01:11:30,800 --> 01:11:32,479
Speaker 6: Got No, no, that's not what got it. I don't

1306
01:11:32,479 --> 01:11:35,240
Speaker 6: think it was the launching the artists. Black Eyed peas

1307
01:11:36,080 --> 01:11:38,840
Speaker 6: in two thousand and nine, we had a video called

1308
01:11:38,880 --> 01:11:41,360
Speaker 6: I'm Gonna Be Rocking that Body where we said, hey,

1309
01:11:41,439 --> 01:11:43,280
Speaker 6: the future of music is going to be you type

1310
01:11:43,320 --> 01:11:45,560
Speaker 6: this in and the machine's going to sing it. The

1311
01:11:45,680 --> 01:11:48,559
Speaker 6: album cover on the end where I got a filling

1312
01:11:48,560 --> 01:11:52,320
Speaker 6: in Boom boom paw was an AI representation of every

1313
01:11:52,360 --> 01:11:57,200
Speaker 6: single member put together. We announced that we have an

1314
01:11:57,240 --> 01:11:59,120
Speaker 6: AI member of our group when we were supposed to

1315
01:11:59,200 --> 01:12:03,639
Speaker 6: do our Vegas residency. People are not tripping on AI,

1316
01:12:04,560 --> 01:12:09,120
Speaker 6: they're concerned on I think what what what happened with

1317
01:12:09,560 --> 01:12:14,600
Speaker 6: Timberlain was he was telling people to send music in

1318
01:12:14,640 --> 01:12:19,280
Speaker 6: the year before to sign humans people and the thing

1319
01:12:19,320 --> 01:12:23,479
Speaker 6: that he signed the following year was AI. And so

1320
01:12:23,520 --> 01:12:26,560
Speaker 6: the combination of that right raises a lot of concerns

1321
01:12:26,640 --> 01:12:30,759
Speaker 6: or or or questions like were you're using our music

1322
01:12:30,760 --> 01:12:31,559
Speaker 6: to train your AI.

1323
01:12:32,360 --> 01:12:36,519
Speaker 5: You had to send music in that you want to

1324
01:12:36,560 --> 01:12:36,920
Speaker 5: keep going?

1325
01:12:37,439 --> 01:12:39,439
Speaker 4: And I think that was the issue because he he

1326
01:12:40,920 --> 01:12:44,840
Speaker 4: it was found that he had taken and he did

1327
01:12:45,720 --> 01:12:50,360
Speaker 4: like new music from dope producers and train the model,

1328
01:12:50,360 --> 01:12:51,720
Speaker 4: and then he as he put it out, it was

1329
01:12:51,760 --> 01:12:54,880
Speaker 4: like whoa hold on, buddy, what's this? And then it

1330
01:12:54,920 --> 01:12:57,240
Speaker 4: became a whole discord. But I just want to cydebard.

1331
01:12:57,280 --> 01:12:59,360
Speaker 4: Will I always used to talk like that.

1332
01:13:00,160 --> 01:13:01,800
Speaker 1: First off, when I grew up, I didn't hear that

1333
01:13:01,880 --> 01:13:02,919
Speaker 1: nigga talk. I just started.

1334
01:13:06,280 --> 01:13:09,320
Speaker 4: That's a rich Remember when Kanye was quiet and he

1335
01:13:09,360 --> 01:13:12,040
Speaker 4: popped up on the breakfast club and he started talking different.

1336
01:13:12,960 --> 01:13:15,000
Speaker 3: He had to reach But anyway, I digress.

1337
01:13:15,400 --> 01:13:17,240
Speaker 1: So you know, you know what's crazy because you you

1338
01:13:17,360 --> 01:13:19,719
Speaker 1: kind of leaned into it. And this was my take

1339
01:13:19,880 --> 01:13:24,720
Speaker 1: on hearing this and hearing will i Am say this.

1340
01:13:25,560 --> 01:13:29,640
Speaker 1: The people that have the discourse, does it just go

1341
01:13:29,720 --> 01:13:32,439
Speaker 1: back to capitalism? Are you upset as a human being

1342
01:13:32,479 --> 01:13:35,240
Speaker 1: because you were lied to and now you're not getting

1343
01:13:35,240 --> 01:13:36,479
Speaker 1: the money like.

1344
01:13:36,800 --> 01:13:38,360
Speaker 3: Opportunity or the opportunity?

1345
01:13:38,600 --> 01:13:43,880
Speaker 1: So is the is the Is the discourse around use

1346
01:13:43,920 --> 01:13:48,640
Speaker 1: of AI in the music industry about AI? Maybe not?

1347
01:13:48,960 --> 01:13:51,719
Speaker 1: What it's really about is whoa This is just another

1348
01:13:51,760 --> 01:13:55,720
Speaker 1: way as an artist, I won't see money that I

1349
01:13:55,800 --> 01:13:59,320
Speaker 1: believe is oh to me as Timberland, someone I looked

1350
01:13:59,400 --> 01:14:02,240
Speaker 1: up to, someone I supported, someone I grew up on.

1351
01:14:02,840 --> 01:14:05,799
Speaker 1: You lied to us. I thought I had the actual

1352
01:14:05,840 --> 01:14:08,800
Speaker 1: opportunity to be signed to and work with you, and

1353
01:14:08,840 --> 01:14:12,000
Speaker 1: instead you created a bot. And so where we talk

1354
01:14:12,040 --> 01:14:15,840
Speaker 1: about how we feel about AI being integrated. Are we

1355
01:14:15,960 --> 01:14:20,160
Speaker 1: upset with the actual AI or are we upset with

1356
01:14:20,240 --> 01:14:24,360
Speaker 1: the decisions being made with people using AI? And I

1357
01:14:24,400 --> 01:14:28,800
Speaker 1: think that as human beings, when you feel betrayed, when

1358
01:14:28,840 --> 01:14:32,080
Speaker 1: you feel lied to, when you feel like damn, this

1359
01:14:32,160 --> 01:14:34,120
Speaker 1: is going to make it even harder for me to

1360
01:14:34,600 --> 01:14:37,200
Speaker 1: have money, This is going to make it easier for

1361
01:14:37,280 --> 01:14:42,120
Speaker 1: people to steal my IP, that's where we really get upset.

1362
01:14:42,240 --> 01:14:46,240
Speaker 1: And in talking about the deregulations of AI that are happening,

1363
01:14:46,280 --> 01:14:49,880
Speaker 1: even from our president, I think the issue that we

1364
01:14:49,920 --> 01:14:53,480
Speaker 1: have with AI more so leans into are human elements

1365
01:14:53,800 --> 01:14:57,760
Speaker 1: of feeling like, fuck, this is just something else I

1366
01:14:57,800 --> 01:15:01,200
Speaker 1: have to find a way to overcome. It's another obstacle

1367
01:15:01,520 --> 01:15:03,360
Speaker 1: in front of me that's going to make it harder

1368
01:15:03,360 --> 01:15:06,360
Speaker 1: for me to pay my bills or become the artist

1369
01:15:06,400 --> 01:15:09,360
Speaker 1: I see myself being, or having the opportunities and getting

1370
01:15:09,360 --> 01:15:12,680
Speaker 1: into the rooms I feel like I should be in

1371
01:15:13,160 --> 01:15:16,320
Speaker 1: because then you have the element of ego. And so

1372
01:15:16,560 --> 01:15:19,040
Speaker 1: all of these ways in which we exist as human

1373
01:15:19,040 --> 01:15:23,599
Speaker 1: beings are essentially being tried. Yeah, because AI is being

1374
01:15:24,000 --> 01:15:29,280
Speaker 1: introduced into what has already made it fucking impossible. Because

1375
01:15:29,360 --> 01:15:33,000
Speaker 1: humans suck humans betray you, humans lie to you, and

1376
01:15:33,040 --> 01:15:36,800
Speaker 1: now they're integrating a tool that essentially can also steal

1377
01:15:36,840 --> 01:15:40,439
Speaker 1: from you your IP, your creativity, your mind, and there's

1378
01:15:40,720 --> 01:15:43,280
Speaker 1: nothing that you can do about it. Well, at the moment, the.

1379
01:15:43,240 --> 01:15:45,479
Speaker 4: One thing we can do about it is this, even

1380
01:15:45,520 --> 01:15:47,640
Speaker 4: as you put out an AI artist, you still need

1381
01:15:47,680 --> 01:15:50,640
Speaker 4: people to support and buy it unless you how like

1382
01:15:51,160 --> 01:15:53,280
Speaker 4: is AI going to just listen to AI? And the

1383
01:15:53,760 --> 01:15:56,360
Speaker 4: like you know what I'm saying, Like we still control it,

1384
01:15:56,439 --> 01:15:58,040
Speaker 4: like we tune that shit out, like yo, we don't

1385
01:15:58,040 --> 01:15:58,720
Speaker 4: want to fuck with that.

1386
01:15:58,800 --> 01:15:59,240
Speaker 3: Then that's it.

1387
01:15:59,240 --> 01:16:06,240
Speaker 1: Well, Actually, to Lodger Graham, AI can't listen to AI,

1388
01:16:06,280 --> 01:16:09,160
Speaker 1: which is why he's fighting the bots and fighting the system.

1389
01:16:09,520 --> 01:16:11,600
Speaker 1: So the algorithm of all this stuff. So if we

1390
01:16:11,600 --> 01:16:14,679
Speaker 1: don't think that in a streaming era there's an element

1391
01:16:14,720 --> 01:16:17,559
Speaker 1: of AI pushing certain music to us as well, we

1392
01:16:17,640 --> 01:16:19,720
Speaker 1: got it fucking mistaken. And so if one of the

1393
01:16:19,840 --> 01:16:22,800
Speaker 1: largest artists in the world can sue a company because

1394
01:16:22,840 --> 01:16:26,639
Speaker 1: now there's beef with whatever negotiations took place to where

1395
01:16:26,720 --> 01:16:30,120
Speaker 1: now the bots that put people to the number one.

1396
01:16:30,200 --> 01:16:33,400
Speaker 1: We also talk about ego in terms of human human uh,

1397
01:16:34,040 --> 01:16:38,559
Speaker 1: the human experience Babe artists want Grammys, artists want Billboard numbers.

1398
01:16:38,720 --> 01:16:41,599
Speaker 1: We see Nicki Minaj crashing out every chance she can

1399
01:16:41,920 --> 01:16:44,720
Speaker 1: and still bringing up numbers. And so if numbers are

1400
01:16:44,760 --> 01:16:48,920
Speaker 1: still going to be our push, whether it's a dollar sign,

1401
01:16:49,000 --> 01:16:52,000
Speaker 1: whether it's a stream number, whether it's a viewership on

1402
01:16:52,040 --> 01:16:54,720
Speaker 1: a television show, whether it's YouTube, whether it's likes, whether

1403
01:16:54,760 --> 01:16:59,200
Speaker 1: it's reshares, we are still a system ran by and

1404
01:16:59,240 --> 01:17:04,440
Speaker 1: now control with numbers. And we also thought that numbers

1405
01:17:04,720 --> 01:17:07,679
Speaker 1: didn't lie, Well, now they do and they can't because

1406
01:17:07,680 --> 01:17:11,920
Speaker 1: now they can be manipulated, right, And so I don't

1407
01:17:11,960 --> 01:17:14,559
Speaker 1: think an artist cares about whether bots or humans are

1408
01:17:14,600 --> 01:17:18,200
Speaker 1: listening to it as long as the funniest as long

1409
01:17:18,200 --> 01:17:20,920
Speaker 1: as they have them numbers so that the fucking dollars

1410
01:17:20,960 --> 01:17:24,240
Speaker 1: add up. And so it's literally a lose lose for

1411
01:17:24,360 --> 01:17:26,400
Speaker 1: us at this point because at the end of the day,

1412
01:17:26,760 --> 01:17:30,200
Speaker 1: most artists, most individuals, most YouTubers, most nigga. I just

1413
01:17:30,280 --> 01:17:35,240
Speaker 1: learned about fucking wop. You don't know about what, Oh baby,

1414
01:17:36,040 --> 01:17:40,840
Speaker 1: not my wet ass pussy, but not it's my wet

1415
01:17:40,840 --> 01:17:44,880
Speaker 1: ass pussy, not that, but it's whop. I'm probably getting

1416
01:17:44,880 --> 01:17:47,000
Speaker 1: out of myself here because I'm about to use it.

1417
01:17:47,000 --> 01:17:51,240
Speaker 1: It is using people, right, But whop is what all

1418
01:17:51,240 --> 01:17:54,160
Speaker 1: of the streamers, probably with Joe and a lot of

1419
01:17:54,160 --> 01:17:58,439
Speaker 1: these large podcasters, are using to pretty much get eight

1420
01:17:58,520 --> 01:18:01,679
Speaker 1: hundred clip editors or farming clip editors to go into

1421
01:18:01,720 --> 01:18:05,320
Speaker 1: your content. They get paid per the view. Now with

1422
01:18:05,560 --> 01:18:08,559
Speaker 1: what there is a bot to be able to show

1423
01:18:08,760 --> 01:18:12,400
Speaker 1: if they're actually real impressions or not, but it's pretty

1424
01:18:12,439 --> 01:18:14,320
Speaker 1: much you go on there, say you have one hundred

1425
01:18:14,320 --> 01:18:16,880
Speaker 1: and fifty dollars. There's a seventeen year old that would

1426
01:18:16,880 --> 01:18:18,560
Speaker 1: love one hundred and fifty dollars. Well, you want a

1427
01:18:18,560 --> 01:18:20,840
Speaker 1: million impressions for one hundred and fifty dollars. They'll go

1428
01:18:20,880 --> 01:18:23,360
Speaker 1: through your content, clip it up for you, post it

1429
01:18:23,400 --> 01:18:27,960
Speaker 1: through whatever community page they make for you, throw it

1430
01:18:28,080 --> 01:18:30,640
Speaker 1: here on x throw it here on Facebook, throw it

1431
01:18:30,640 --> 01:18:33,679
Speaker 1: here on YouTube, and within a certain amount of time,

1432
01:18:33,800 --> 01:18:37,599
Speaker 1: once they get you the million impressions, he gets one

1433
01:18:37,680 --> 01:18:40,080
Speaker 1: hundred and fifty bucks. And so he has to clip

1434
01:18:40,120 --> 01:18:41,400
Speaker 1: up as much things as he can to get you

1435
01:18:41,400 --> 01:18:44,800
Speaker 1: those impressions. And so this is where we're currently being

1436
01:18:45,160 --> 01:18:48,639
Speaker 1: flooded with the clips of a Kaisanat or a Joe Budden,

1437
01:18:49,080 --> 01:18:53,719
Speaker 1: or a black Boy Max or a DDG or India Love.

1438
01:18:53,840 --> 01:18:57,479
Speaker 1: All these streamers have these hundreds of fucking guys on

1439
01:18:57,520 --> 01:19:00,519
Speaker 1: there clipping up these people to constantly let you and

1440
01:19:00,560 --> 01:19:04,479
Speaker 1: see it for very low dollars of money. And then

1441
01:19:04,520 --> 01:19:07,160
Speaker 1: there's the AI bot making sure it's real. And so again,

1442
01:19:07,479 --> 01:19:10,320
Speaker 1: as long as we're in a system where your views,

1443
01:19:10,400 --> 01:19:15,040
Speaker 1: your impressions, your likes, your listens, your streams equate to money,

1444
01:19:17,200 --> 01:19:21,439
Speaker 1: I don't think anyone cares where it's coming from. Numbers

1445
01:19:21,520 --> 01:19:23,960
Speaker 1: matter in terms of your poet, as long as they

1446
01:19:24,000 --> 01:19:27,799
Speaker 1: get the bread and back to capitalism, that's where we're at.

1447
01:19:27,960 --> 01:19:32,280
Speaker 1: It's why seeing a CEO that created AI at for

1448
01:19:32,600 --> 01:19:36,559
Speaker 1: doctors is already a billionaire doctors is a very fit

1449
01:19:36,920 --> 01:19:40,880
Speaker 1: like that's something where it's still a person, but in

1450
01:19:40,880 --> 01:19:46,000
Speaker 1: whatever integration AI is now being implemented into healthcare, life

1451
01:19:46,000 --> 01:19:49,000
Speaker 1: and death. And again with the deregulation, there's probably going

1452
01:19:49,080 --> 01:19:52,880
Speaker 1: to be a lot of loopholes to save you as

1453
01:19:52,920 --> 01:19:56,960
Speaker 1: well from if something goes wrong with AI. It's not

1454
01:19:57,160 --> 01:19:59,720
Speaker 1: at the hands of the doctor, which I'm sure for

1455
01:19:59,760 --> 01:20:01,800
Speaker 1: any doctor who spent all the years in school that

1456
01:20:01,840 --> 01:20:03,840
Speaker 1: they did would love to be able to wipe their

1457
01:20:03,840 --> 01:20:06,760
Speaker 1: hands clean of something going wrong. Because guess what can

1458
01:20:06,800 --> 01:20:09,800
Speaker 1: happen whether you're in a car with nobody or a

1459
01:20:09,800 --> 01:20:13,720
Speaker 1: car with somebody, it's inevitable that something can and will

1460
01:20:13,720 --> 01:20:16,160
Speaker 1: always go wrong. Whether it happens to you or not

1461
01:20:16,280 --> 01:20:17,880
Speaker 1: is the factor.

1462
01:20:19,200 --> 01:20:19,760
Speaker 3: No, that's interesting.

1463
01:20:20,120 --> 01:20:21,559
Speaker 2: I know we don't do that, like did you change

1464
01:20:21,560 --> 01:20:22,559
Speaker 2: your mind yet anymore?

1465
01:20:22,720 --> 01:20:25,839
Speaker 5: But here you see this. Hearing you say this last part.

1466
01:20:25,680 --> 01:20:29,360
Speaker 2: Reminds me, like I think it feels like to me now,

1467
01:20:29,520 --> 01:20:32,280
Speaker 2: like because of the capitalism element of it all when

1468
01:20:32,280 --> 01:20:33,880
Speaker 2: it comes to AI, because it's a tool, right, it's

1469
01:20:33,880 --> 01:20:35,680
Speaker 2: a tool and people are trying to make money. I

1470
01:20:35,680 --> 01:20:40,320
Speaker 2: feel like the anxiety is a result of like the

1471
01:20:40,320 --> 01:20:44,200
Speaker 2: potential for one person to save money fighting the potential

1472
01:20:44,320 --> 01:20:46,960
Speaker 2: for somebody feeling like they may lose money or opportunity,

1473
01:20:47,240 --> 01:20:50,200
Speaker 2: and the AI is just a tool that makes that

1474
01:20:50,240 --> 01:20:52,360
Speaker 2: fight happen. And I think that's why everybody's trying to

1475
01:20:52,400 --> 01:20:55,439
Speaker 2: having this anxiety when they hear AI. I wonder if

1476
01:20:55,479 --> 01:20:57,920
Speaker 2: like that I don't need that robot mess. It's really

1477
01:20:58,000 --> 01:21:00,479
Speaker 2: just shorthand for something else, right, And it's not the

1478
01:21:00,560 --> 01:21:03,160
Speaker 2: robots that they're afraid of. They're just like, yo, this

1479
01:21:03,200 --> 01:21:05,759
Speaker 2: is just another way for shitty humans to fuck.

1480
01:21:05,640 --> 01:21:09,760
Speaker 1: Me period pause as well. I don't like shame mis

1481
01:21:09,760 --> 01:21:12,840
Speaker 1: fucking me, but yeah, at the end of the day,

1482
01:21:12,880 --> 01:21:17,040
Speaker 1: I would like to know. Go and join us over

1483
01:21:17,200 --> 01:21:22,559
Speaker 1: on Instagram at Selective Selective Ignorance PODA, join us on

1484
01:21:22,600 --> 01:21:28,160
Speaker 1: the Patreon the discord that's patreon dot com backslash Selective Ignorance,

1485
01:21:28,320 --> 01:21:31,479
Speaker 1: or head on over to the YouTube channel at with

1486
01:21:31,640 --> 01:21:35,680
Speaker 1: Mandy Bee. You could see periodsys there Selective Ignorance all

1487
01:21:35,680 --> 01:21:38,680
Speaker 1: of the clips and I want to further talk about this.

1488
01:21:38,680 --> 01:21:40,640
Speaker 1: This is another episode. Thank you guys for having this

1489
01:21:40,680 --> 01:21:42,600
Speaker 1: conversation with me. Thank y'all for listening. I hope that

1490
01:21:42,680 --> 01:21:45,719
Speaker 1: you are deeper into your thoughts on what AI means,

1491
01:21:45,720 --> 01:21:49,000
Speaker 1: what it's doing, all the things. Make sure you tune

1492
01:21:49,040 --> 01:21:52,000
Speaker 1: into us next week as well as the bonus episodes.

1493
01:21:52,040 --> 01:21:55,479
Speaker 1: I've been dropping my book club for No Holds Barred

1494
01:21:55,520 --> 01:21:58,360
Speaker 1: that I've been recording virtually so every Friday, y'all are

1495
01:21:58,360 --> 01:22:01,080
Speaker 1: getting a bonus episode this this week, we're talking about

1496
01:22:01,160 --> 01:22:04,800
Speaker 1: the progressive portion of the book No Holds bart If

1497
01:22:04,800 --> 01:22:08,000
Speaker 1: you haven't got it yet, get it wherever you get books, y'all.

1498
01:22:08,040 --> 01:22:12,040
Speaker 1: This is another episode though, of Selective Ignorance. I'm your girl,

1499
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Speaker 1: Mandy B. And this is where curiosity live, controversy thrives,

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Speaker 1: and conversations matter. See you next week. Selective Ignorance a

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Speaker 1: production of the Black Effect podcast Network. For more podcasts

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Speaker 1: from iHeartRadio, visit the iHeartRadio app, Apple Podcasts, or wherever

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Speaker 1: you listen to your favorite shows.

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Speaker 2: Thanks for tuning in the Selective Ignorance of Mandy B.

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Speaker 2: Selective Ignorance. It's executive produced to Buy Mandy B. And

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Speaker 2: it's a Full Court Media studio production with lead producers

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Speaker 2: Jason Mondriguez. That's me and Aaron A.

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Speaker 5: King Howell.

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Speaker 2: Now, do us a favor and rate, subscribe, comment and

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Speaker 2: share wherever you get your favorite podcasts, and be sure

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Speaker 2: to follow Selective Ignorance on Instagram at Selective Underscore Ignorance.

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Speaker 2: And of course, if you're not following our hosts Mandy B,

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Speaker 2: make sure you're following her at full Court Pumps.

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Speaker 1: Now.

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Speaker 2: If you want the full video experience of Selective Ignorance,

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Speaker 2: make sure you subscribe to the Patreon It's patreons dot

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Speaker 2: com backslash Selective Ignorance