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Speaker 1: Wines some becomes the skuy.

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Speaker 2: It turned out that was done long before there was

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Speaker 2: any public awareness that was certainly any conviction of any.

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Speaker 3: Crime by Jeffrey Epstein.

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Speaker 2: So it was a short period of time that was

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Speaker 2: in pursuit of charitable philanthropic work.

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Speaker 3: Oh okay for charity.

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Speaker 4: So what you have here is a wife laughing off

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Speaker 4: photos of her husband in compromising situations with potential victims.

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Speaker 3: Calling it charitable. Raises some questions.

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Speaker 4: Whether you're a Republican Democrat, the response obviously deserves some scrutiny.

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Speaker 4: She seemed to be laughing during part of it. Accountability

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Speaker 4: shouldn't stop at party lines. Accountability needs to be done

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Speaker 4: across the board, no matter who's involved, when, where, why.

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Speaker 3: How So you've got.

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Speaker 4: Hillary Clinton, former Secretary of State, scheduled to appear for

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Speaker 4: a filmed transcribed deposition but for the House Oversight Committee

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Speaker 4: on February twenty six, and now she's being fed questions

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Speaker 4: about Jeffrey Epstein giving her some time to practice her answers,

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Speaker 4: I suppose. But this testimony is part of the investigation

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Speaker 4: into Epstein and his network, and she was clearly a

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Speaker 4: part of that.

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Speaker 3: Network in some form or fashion.

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Speaker 4: Because there are so many instances documented of her and

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Speaker 4: Bill Clinton having some relationship with Jeffrey Epstein.

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Speaker 1: Yeah, and for her to kind of use charity as

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Speaker 1: kind of the white out that she throws all over it. No,

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Speaker 1: it's all fine, it's just for charity. Look, we know

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Speaker 1: who Bill Clinton is. Clearly the guy's a horn dog,

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Speaker 1: and that's just baked into his personality. When you take

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Speaker 1: that in context and say, Okay, we know who Bill

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Speaker 1: Clinton is, and now we got a ton of communication

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Speaker 1: with Bill Clinton, and we got a ton of photos

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Speaker 1: with Bill Clinton and Jeffrey Epstein and young women on

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Speaker 1: the island on private jets in situations that make you uncomfortable. Okay,

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Speaker 1: we've got enough circumstantial evidence to sit here and say, yeah,

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Speaker 1: that's pretty icky and we don't want anything to do

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Speaker 1: with that.

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Speaker 4: Yeah, okay, So we've got more audio from her. She

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Speaker 4: did this interview with the BBC and she actually said

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Speaker 4: she never met Jeffrey Epstein and only took a few

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Speaker 4: photos with Gilaine Maxwell. However, many people have seen the

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Speaker 4: photo of Maxwell at her daughter's wedding. Do you often

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Speaker 4: have people you don't know come to your child's wedding?

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Speaker 1: Well, I mean, I don't know how many people were

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Speaker 1: at Chelsea Clinton's wedding, but let's be clear about this.

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Speaker 1: Jeffrey Epstein was convicted of pedophilia in two thousand and eight,

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Speaker 1: and Zza Maxwell was at Chelsea Clinton's wedding in twenty ten.

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Speaker 1: And again, because you've got the context, we know who

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Speaker 1: Bill Clinton is, we know who Hillary Clinton is, we

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Speaker 1: know both of them done a bunch of shady stuff

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Speaker 1: throughout their whole career. Now we've got another instance in it.

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Speaker 1: I think it's reasonable for us, even though the evidence

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Speaker 1: is circumstantial at this point, to say you've got a

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Speaker 1: history of some really crappy shady behavior. I've got circumstantial

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Speaker 1: evidence here that you kept doing some really.

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Speaker 5: Crappy shady behavior with Jeffrey Epstein.

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Speaker 3: All right, Well, here she is denying that she ever

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Speaker 3: met Jeffrey Epstein. You regret the links that there have been.

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Speaker 3: You know, we have no links.

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Speaker 2: We have a very clear record that we've been willing

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Speaker 2: to talk about, which my husband has said he took

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Speaker 2: some rides on the airplane for his charitable work charity.

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Speaker 2: I don't recall ever meeting him.

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Speaker 3: Did you have a meet of le Maxwell?

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Speaker 2: I did on a few occasions, and thousands of people

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Speaker 2: go to the Clinton Global Initiative, So it to me,

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Speaker 2: is not something that is really at the heart of

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Speaker 2: what this matter is about. They are accused and in

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Speaker 2: both cases were convicted of horrific crimes against girls and women.

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Speaker 3: That should be the focus.

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Speaker 4: Epstein helped set up the Clinton Global Initiative, by the way,

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Speaker 4: So here's what I'm curious about. Is also being reported

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Speaker 4: of The New York Post said that Epstein visited the

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Speaker 4: Clinton White House at least seventeen different times. Magically, Hillary

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Speaker 4: was never there for any of those meetings, never wandering

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Speaker 4: around because she said she never met him.

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Speaker 3: She's got this.

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Speaker 4: Deposition coming up on February twenty sixth, and she wants

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Speaker 4: it live.

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Speaker 5: Yep.

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Speaker 1: Why that is a great question. So right now it's

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Speaker 1: going to be behind closed doors. It's not going to

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Speaker 1: be televised, and they will release a transcript of it.

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Speaker 1: That's the plan for it right now. But she did

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Speaker 1: come out and say I would prefer to testify in

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Speaker 1: front of all of Congress live, put it on c

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Speaker 1: SPAN in real time for everybody to see. Here's look,

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Speaker 1: Hillary Clinton is a lot of things, but Hillary Clinton

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Speaker 1: isn't dumb, and Hillary Clinton knows how the game in Washington,

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Speaker 1: DC is played. And my guess on answering that question

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Speaker 1: is when you do it behind closed doors and there's

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Speaker 1: no video being released and it's just a transcript, what

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Speaker 1: you do is you give up your ability to control

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Speaker 1: the narrative so your opponents can leak and release certain

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Speaker 1: aspects of that transcript that make you look bad.

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Speaker 5: And hide all the rest of it.

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Speaker 1: If she were to do it live in front of

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Speaker 1: Congress and it was carried on c SPAN, she would

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Speaker 1: have the ability to at least regain some of that

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Speaker 1: communications and narrative, because I'm sure there are gonna be

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Speaker 1: part in there that are going to make her and

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Speaker 1: Bill look bad. But what she'll likely counter with is,

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Speaker 1: look at all these other people. If you're if I'm

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Speaker 1: going down, I'm bringing you down with me, You're all

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Speaker 1: coming down with me. And so she's likely during her

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Speaker 1: testimony going to find opportunities to call out plenty of

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Speaker 1: other powerful people on the Republican side that are doing

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Speaker 1: things that are probably a lot worse than what Bill

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Speaker 1: and Hillary Clinton did.

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Speaker 3: And they're also testifying on separate days.

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Speaker 1: Yeah, yeah, I mean Let's be honest, they probably sleep

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Speaker 1: in separate beds. They probably don't even live in the

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Speaker 1: same house. They've got separate houses. And Bill Clinton and

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Speaker 1: Hillary Clinton will be testifying on separate days.

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Speaker 4: Here's something new that's coming to Central Indiana, Indianapolis. The

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Speaker 4: three one seven area code Iconic in Indianapolis. It's almost

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Speaker 4: out of available numbers. There's only about one hundred and

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Speaker 4: ninety thousand new numbers available. So guess what if you're

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Speaker 4: getting a new number, you're going to be getting a

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Speaker 4: new area code.

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Speaker 5: Yeah, it'll be interesting to see what happens with this.

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Speaker 1: And we went through this at a grand scale like

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Speaker 1: we've never seen in this country before. With the adoption

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Speaker 1: of dial up internet in the mid to late nineties,

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Speaker 1: everybody all of a sudden needed two phone numbers in

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Speaker 1: their house. We needed one for our regular phone, and

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Speaker 1: then we needed one for the Internet. And it was

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Speaker 1: remember around that time, mid to late nineties, when all

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Speaker 1: of a sudden, all these new area codes started to

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Speaker 1: have to be added into regions and because they ran

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Speaker 1: out of numbers. And then we got that problem fixed,

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Speaker 1: and then everybody started getting rid of their landlines because

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Speaker 1: we all moved to cell phones, and the Internet wasn't

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Speaker 1: the Internet wasn't on dial up anymore. We were getting

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Speaker 1: that through cable or DSL and was coming through Wi Fi,

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Speaker 1: And it seemed like we were gonna have plenty of

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Speaker 1: phone numbers for the rest of our lives. But for

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Speaker 1: some reason now now we're running out of numbers again,

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Speaker 1: which I kind of find surprising, because the only thing,

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Speaker 1: really I mean, I guess there's some people that still

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Speaker 1: use landlines, but very few fax machines in use anymore.

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Speaker 1: The only way only places you see fax machines are

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Speaker 1: medical offices and a herneyes because they are by definitely

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Speaker 1: the way the facts works. It's much more secure than

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Speaker 1: email attachments, and so you see them in medical facilities

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Speaker 1: and for attorney So fax machines are being used. Nobody's

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Speaker 1: using dial up internet anymore.

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Speaker 3: You get multiple phones.

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Speaker 1: Very few people have landlines anymore. How many people have

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Speaker 1: multiple cell phones and multiple cell phone numbers. I can

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Speaker 1: understand if you've got one. Sometimes your work gives you one,

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Speaker 1: so you got a personal one and a work one.

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Speaker 1: I had a job where that was the case for

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Speaker 1: a little while. I don't know what has changed to

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Speaker 1: the fact that we're running out of area code numbers.

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Speaker 3: The new area code is going to be four six three.

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Speaker 1: Have they designated the geographic area where that area code

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Speaker 1: will be instituted?

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Speaker 4: Indianapolis much of central Indiana? Four six three It spells

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Speaker 4: ID on your phone keyboard.

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Speaker 5: Oh that I like.

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Speaker 1: That's a nice little fun easter egg here. And this

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Speaker 1: is an additional area code. This isn't replacing three to

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Speaker 1: one seven, right.

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Speaker 4: If you have a three one seven number, you're going

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Speaker 4: to keep that, But future new numbers are most likely

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Speaker 4: going to have four six three. The three one seven

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Speaker 4: numbers were supposed to run out in twenty sixteen, but.

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Speaker 1: Then everybody started getting rid of their landlines, and then

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Speaker 1: all of a sudden, we I'm like, a decade later.

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Speaker 5: Were the degree we had them before.

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Speaker 1: Do people even really notice area codes all that much anymore?

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Speaker 3: I do?

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Speaker 5: Do you notice area codes?

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Speaker 3: Yeah? Because mine is different because.

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Speaker 1: We don't have a three one seven area code, But

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Speaker 1: five seven four I guess I don't even I don't

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Speaker 1: even look at him anymore, because really, the area code

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Speaker 1: on your cell phone is probably wherever you lived when

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Speaker 1: you got your first cell phone twenty years ago. And

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Speaker 1: now we just keep changing. You know, even if you

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Speaker 1: change carriers, you can move your number along. Seems seems

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Speaker 1: like the end of an era here that we're gonna

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Speaker 1: you know, part of Central Indiana isn't going to be

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Speaker 1: three one seven anymore.

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Speaker 4: Here's an update for you. We talked about this story

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Speaker 4: last week. FCC was reviewing complaints alleging that Bad Bunnies

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Speaker 4: halftime performance at the Super Bowl may have violated broadcast

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Speaker 4: decency rules, and after reviewing the broadcast, in all of

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Speaker 4: their great infinite wisdom, the FCC determined there.

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Speaker 3: Were no violations. Yeah, no indecency.

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Speaker 1: So keep in mind, Bad Buddy did the Super Bowl

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Speaker 1: halftime show one hundred percent in Spanish, and there were

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Speaker 1: people that were alleging that he was dropping the F

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Speaker 1: bomb but in Spanish. And so what the FCC did

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Speaker 1: is investigate this, and they apparently found out that no,

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Speaker 1: in fact, he wasn't dropping the F bomb in Spanish.

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Speaker 5: So I think that this was a pretty clear cutcase

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Speaker 5: and it's all over now.

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Speaker 4: So what they said was that any explicit content was

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Speaker 4: edited or censored for national broadcasts.

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Speaker 1: Yeah, and a lot of people probably don't realize that that.

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Speaker 1: You know, we obviously there are certain words that you

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Speaker 1: can't say on broadcast radio and TV, and that applies

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Speaker 1: to other languages.

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Speaker 5: It's not just in English.

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Speaker 1: If you say I am in German, you can still

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Speaker 1: be held accountable by the FCC. Say AM in Spanish,

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Speaker 1: you can still be held accountable by the FCC.

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Speaker 3: You're listening to ninety three WYBC. The thing was to

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Speaker 3: me when I was growing up that all of the

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Speaker 3: skaters were such a big deal.

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Speaker 4: The figure skaters and the figure skaters, I mean, I

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Speaker 4: think like Brian Boitano and Scott Hamilton and Katerinavitt, Tanya Harding,

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Speaker 4: Nancy Carrigan. I mean these were just huge cultural iconic names.

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Speaker 5: They were a big deal. Yeah, absolutely, And I feel

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Speaker 5: like this.

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Speaker 4: I don't know, maybe it's the Olympics isn't as big

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Speaker 4: of a deal, or the ice skaters aren't as big

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Speaker 4: of a deal.

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Speaker 3: What's going on.

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Speaker 1: I think that the other sports, it used to be,

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Speaker 1: ice skating was really the show, and it helped that

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Speaker 1: every now and then there'd be an American that could

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Speaker 1: win a gold medal or challenge for a gold medal,

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Speaker 1: and every now and then the team would have a

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Speaker 1: chance getting a medal too, and so the Americans were

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Speaker 1: good at ice skating, but I think it's the others.

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Speaker 1: There's been so much growth in popularity in the other sports.

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Speaker 1: I like the current the current star for this team

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Speaker 1: going into this Olympics was the quad God, who I

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Speaker 1: still don't I still don't even know his name because

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Speaker 1: I can't pronounce it, which is why you say quad,

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Speaker 1: which is why I say quad God. But I don't

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Speaker 1: even know his name because I can't pronounce it. And

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Speaker 1: he's an American and he's good. But I think that's

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Speaker 1: all part of it. I think that just the other

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Speaker 1: I mean, look at the attention that curling is getting

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Speaker 1: again this Olympics, and we're seeing so much focus on,

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Speaker 1: you know, the speed skating and the downhill and the

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Speaker 1: men's hockey team.

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Speaker 5: That's another big part of it.

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Speaker 1: It was different when it was just college kids playing

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Speaker 1: in the hockey games, and now you've got NHL players

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Speaker 1: that people know and follow all season long with the NHL,

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Speaker 1: and now they're playing in the Olympics. I think it's

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Speaker 1: just that there's more attention being played to the other sports.

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Speaker 1: When thirty or forty years ago, it was really all

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Speaker 1: about the ice skating and then everything else.

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Speaker 4: There's been a couple new events that have been added

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Speaker 4: that have made me raise my eyebrow.

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Speaker 3: One would be the snowboard cross.

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Speaker 1: I love that. That's where they actually race at the

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Speaker 1: same time. There's like four or five guys, right.

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Speaker 3: They go down the hill together.

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Speaker 4: Rather than racing against the clock, they're actually racing each other.

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Speaker 5: That was a very cool, very cool event.

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Speaker 3: The other one is the two man louge.

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Speaker 1: Yeah, that is something that two big athletes laying on

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Speaker 1: top of each other on a sled and going down

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Speaker 1: the ice at eighty miles an hour.

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Speaker 4: And then when you've got the luge relay as well,

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Speaker 4: which is a solo woman and then the two man

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Speaker 4: and then two women and then the solo.

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Speaker 5: Man go and it's like kind of like they have to.

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Speaker 3: Tap the sign as they go by.

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Speaker 1: The timer, right, and it's kind of like a track

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Speaker 1: and field relay, and they've got to hit the sign

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Speaker 1: and then that means that the other person on their

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Speaker 1: team can go. It's not where they all do separate

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Speaker 1: races and just add the time up together. No, they're

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Speaker 1: actually following each other one after another. Have you seen

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Speaker 1: the one. I don't know what it's called. I think

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Speaker 1: it's called skiing cross or something like that. It's not

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Speaker 1: cross country, but it's essentially cross country skis, but they're

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Speaker 1: going up hill. Oh it looks ridiculous, but I'm fascinated.

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Speaker 1: There have been I've been dialed into these Winter Olympics.

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Speaker 5: I love it more than that. No, I know some

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Speaker 5: of their names.

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Speaker 1: I know Mikayla Shiffrin, she's the big downhill skier for

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Speaker 1: the US. I know the Kachuck brothers playing for the

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Speaker 1: hockey team. It's just a quad.

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Speaker 5: God's name. I can't I can't ever remember.

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Speaker 4: Here's a US figure skater, is abou Levito, and she

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Speaker 4: has really enjoyed her time in the Olympic village.

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Speaker 3: I've spent every night in the village.

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Speaker 2: It's been everything and more. And you can't evict me.

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Speaker 3: I don't think there's anything not to enjoy.

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Speaker 1: I haven't even gone to compete yet, and I feel like.

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Speaker 2: My experience is already complete, complete, but just I'm having

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Speaker 2: a best.

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Speaker 3: The best time. She's really enjoying herself.

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Speaker 1: So that video has really gone viral on social media,

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Speaker 1: and I think she's probably the victim of circumstances because

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Speaker 1: that video came out on the same day that it

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Speaker 1: was announced that Olympic Village ran out of all the condoms.

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Speaker 3: They've restocked.

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Speaker 1: They've restocked, but there was a couple of days ago

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Speaker 1: it was a big story that, Okay, all.

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Speaker 5: The condoms are gone.

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Speaker 1: They ran out three days. They had two weeks worth

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Speaker 1: of the condoms. They were all gone in three days.

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Speaker 1: And then this girl posts this, what on the surface

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Speaker 1: is kind of a sweet video, just talking about how

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Speaker 1: she loves being part of the Olympics, but the Internet assumed.

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Speaker 3: Instantly took it in another direction.

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Speaker 1: She is having spicy time at night in the Olympic

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Speaker 1: Village with that smile on her face, and why they're

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Speaker 1: saying they can't evict me from the Olympic Village and

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Speaker 1: how can you not have a great time here? Everybody

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Speaker 1: just assumes that she was the source of using up

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Speaker 1: all the condoms of the Olympic Village.

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Speaker 4: The organizers had initially stocked about ten thousand condoms and

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Speaker 4: they ran out in three days. And the shortage happened

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Speaker 4: right around Valentine's Day.

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Speaker 1: Coincidence, Hey, everybody's feeling amorous. And then it turned into

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Speaker 1: once the condoms ran out, they're starting to be a

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Speaker 1: black market for condoms amongst the athletes in the village.

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Speaker 3: What were they going for so something? There were one hundred.

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Speaker 1: Yeah, I mean initially people were paying like ten or

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Speaker 1: twenty or forty dollars for a condom, and then there

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Speaker 1: were reports that people were paying.

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Speaker 5: Athletes were paying.

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Speaker 1: Up to one hundred dollars for one condom because they

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Speaker 1: were in such high demand.

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Speaker 5: What I love about that.

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Speaker 1: Capitalism on full display here at the Olympics.

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Speaker 5: Supply and demand. We've run out of this.

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Speaker 1: The supply has diminished, the demand has stayed the same,

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Speaker 1: so guess what prices are gonna go up. I don't

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Speaker 1: know if anybody actually paid one hundred dollars for a condom,

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Speaker 1: but it sounds like people that's what they were asking

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Speaker 1: for that much money.

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Speaker 5: And then the Olympic committee got their act.

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Speaker 1: Together and was like, gosh, I guess we gotta rush

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Speaker 1: a bunch of more condoms to the Olympic village here

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Speaker 1: and stat well.

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Speaker 4: You got to imagine these people are in this confined,

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Speaker 4: closed off area. They're there to compete. Most of them

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Speaker 4: are physically fit. They're meeting people from all over the world.

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Speaker 3: So cure takes its course.

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Speaker 5: Right exactly I guess what's going to happen.

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Speaker 1: They're young, they're athletic, a lot of them are very attractive.

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Speaker 1: You bump into somebody from the Irish you know, speed

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Speaker 1: skating team that you know you're never going to see

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Speaker 1: again except for these two weeks while we're all here

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Speaker 1: in Italy in the Olympics.

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Speaker 5: How you do it?

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Speaker 3: Live while you can? Okay?

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Speaker 4: So Draft King, they said, what's going on with Draftking?

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Speaker 4: Their stock is down more than fifty percent in the

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Speaker 4: last six months. Fan Duel, the parent company, is also

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Speaker 4: down thirty percent.

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Speaker 5: Yeah. So these are the.

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Speaker 1: Two main gambling sources here in the United States, and

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Speaker 1: I think there's I don't want to get too wonky

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Speaker 1: into this, but there's a couple of big, big things

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Speaker 1: that are going on. Number one is like any new industry,

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Speaker 1: and sports gambling on your phone was a brand new

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Speaker 1: industry with that Supreme Court ruling years ago, and so

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Speaker 1: you had all of these gambling apps that popped up.

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Speaker 1: I mean there were dozens and dozens of them. And

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Speaker 1: only happens in a business situation like this is the

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Speaker 1: big guys end up buying out a bunch of the

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Speaker 1: little guys, and you see consolidations so that they can

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Speaker 1: create efficiencies and reduce costs.

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Speaker 5: And that's exactly what happened.

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Speaker 1: So you had FanDuel and DraftKings that bought up a

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Speaker 1: whole bunch of the little guys out there. Now they

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Speaker 1: probably massively overpaid and took on a ton of debt,

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Speaker 1: which is going to affect their stock price. But the

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Speaker 1: reason why DraftKings and FanDuel stock price are struggling right

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Speaker 1: now are the introduction of these other betting market like

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Speaker 1: Polymarket and call Shee. And look those two companies and

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Speaker 1: if you don't know what, poly Market and call she

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Speaker 1: are essentially like DraftKings and FanDuel, except you can bet

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Speaker 1: on anything. You think the United States is going to

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Speaker 1: invade North Korea in twenty twenty six, you can gamble

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Speaker 1: on that.

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Speaker 3: It's not just sports, for elections, even anything.

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Speaker 1: There were people we talked about yesterday about that logan

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Speaker 1: Paul So that sold that Pokemon card for sixteen million dollars.

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Speaker 5: We talked about it on yesterday show.

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Speaker 1: There were people placing that's on Callshi and polymarket how

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Speaker 1: much it was going to go for. And so you've

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Speaker 1: got essentially and by the way, those two apps are

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Speaker 1: so far completely unregulated. They're not tied like every DraftKings

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Speaker 1: and FanDuel, those are all tied to a license from

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Speaker 1: a physical casino each in every single state. Calls and

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Speaker 1: Polymarket aren't tied to everything. And in fact, just yesterday

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Speaker 1: there was a ruling in the state of Nevada, not

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Speaker 1: a final ruling, but essentially shut down both Polymarket and

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Speaker 1: Calls from doing business in the state of Nevada because

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Speaker 1: they're completely unregulated. And I think that what you're likely

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Speaker 1: going to see is a lot more of that going forward.

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Speaker 1: This has come on very quickly, probably in the last

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Speaker 1: year or so, and it's taking time for these state

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Speaker 1: legislators to kind of realize what's going on.

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Speaker 4: Well, yeah, because they say that it's unlicensed gambling, so

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Speaker 4: of course they want to get their mits in there

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Speaker 4: and start regulating.

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Speaker 1: But it's not gambling. It's prediction markets. That's what they're called.

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Speaker 1: They're called prediction markets.

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Speaker 3: And that's the way that might be of the boneless

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Speaker 3: wings story.

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Speaker 1: Right, They're they're not chicken nuggets, they're boneless wings. I'm

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Speaker 1: not gambling, I'm predicting. But that's really why you've seen

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Speaker 1: those stock prices for DraftKings and FanDuel drop so much

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Speaker 1: because so much money is flying into these unregulated apps

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Speaker 1: like polymarket and caulship.

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Speaker 4: And if that's the case, then the markets should decide

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Speaker 4: let the users and the investors decide which model works best.

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Speaker 1: Well, if you're DraftKings and FanDuel, you're like, wait a minute,

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Speaker 1: we followed the rules. We are associated with casinos licensed

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Speaker 1: in every single state, We've gone through the court system.

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Speaker 1: It's made that we followed all the regulatory procedures. And

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Speaker 1: now you got these guys coming in. They're not playing

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Speaker 1: by the rules. They're just doing whatever they want with

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Speaker 1: absolutely no consequences, no regulation whatever. So I get why

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Speaker 1: DraftKings and FanDuel would be upset because it's not a

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Speaker 1: fair One group is playing by the rules and another

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Speaker 1: group isn't playing by it.

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Speaker 4: Oh that sounds familiar in the political world. You're listening

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Speaker 4: to ninety three WIBC. Technology should not be replacing life.

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Speaker 4: There is value and letting people's online presence rest after

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Speaker 4: they're gone, instead of manufacturing artificial activity, real relationships and memories.

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Speaker 4: They shouldn't be swapped out for any sort of automatic content.

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Speaker 4: I know that I've been online before, and I've pulled

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Speaker 4: up Facebook and I've seen, like you know, today is

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Speaker 4: your dad's birthday. Of course, many of our listeners know

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Speaker 4: my father passed away more than a decade ago, and

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Speaker 4: when I see that, it hits hard because he still

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Speaker 4: has a Facebook profile that has never been shut down.

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Speaker 4: Now you've got Meta introducing a new product. That is,

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Speaker 4: they've been granted a patent for an AI system that

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Speaker 4: can simulate a users social media activity even after they've

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Speaker 4: died or stopped posting. So you could be gone, but

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Speaker 4: your online presence continues on without you.

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Speaker 1: So I guess this would be similar to an AI

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Speaker 1: chat bot, but specifically designed to mimic somebody who has

442
00:22:21,040 --> 00:22:24,639
Speaker 1: passed away in your in your voice or in their voice,

443
00:22:24,800 --> 00:22:27,040
Speaker 1: the voice and the person's voice who's passed away.

444
00:22:27,440 --> 00:22:30,720
Speaker 3: I think it's basically a digital clone of yourself.

445
00:22:30,440 --> 00:22:34,080
Speaker 1: Right, So, so, so somebody close to you passes away,

446
00:22:34,520 --> 00:22:37,359
Speaker 1: you sign up for this service with Meta, They're able

447
00:22:37,400 --> 00:22:40,600
Speaker 1: to access whatever digital files that exist on this person

448
00:22:40,640 --> 00:22:44,600
Speaker 1: that passes away. Meta feeds that into AI, and AI

449
00:22:44,760 --> 00:22:48,480
Speaker 1: essentially creates a digital chat bot of your loved one

450
00:22:48,520 --> 00:22:52,159
Speaker 1: who's no longer with us, so that you can I

451
00:22:52,160 --> 00:22:54,600
Speaker 1: guess would I would assume be able to interact with them,

452
00:22:54,880 --> 00:22:59,440
Speaker 1: ask them questions and they would respond in their voice.

453
00:22:59,560 --> 00:23:03,480
Speaker 4: It will continue posting content, it'll reply to comments, and

454
00:23:03,840 --> 00:23:08,360
Speaker 4: it will interact with other people in their voice.

455
00:23:09,280 --> 00:23:11,960
Speaker 3: And I guess this is kind of like you've heard of.

456
00:23:11,960 --> 00:23:14,480
Speaker 4: When someone has a loved one who passes away, they

457
00:23:15,280 --> 00:23:17,400
Speaker 4: save the last voicemail.

458
00:23:17,920 --> 00:23:20,639
Speaker 3: Yeah, they can pull that up and hear their voice. Again.

459
00:23:21,720 --> 00:23:25,320
Speaker 3: Is it different than looking at a picture of them? Yeah,

460
00:23:25,520 --> 00:23:28,399
Speaker 3: way to preserve their memory, although this seems more interactive.

461
00:23:28,680 --> 00:23:32,600
Speaker 1: Well, and you know, listening to an old voicemail that

462
00:23:32,600 --> 00:23:34,640
Speaker 1: you've saved on your phone from a loved one that's

463
00:23:34,640 --> 00:23:36,640
Speaker 1: passed away is one thing. And I get that if

464
00:23:36,640 --> 00:23:39,320
Speaker 1: that's what you want to do, because that's the real

465
00:23:39,440 --> 00:23:41,639
Speaker 1: person who left that voicemail.

466
00:23:41,720 --> 00:23:43,119
Speaker 3: This isn't an AI clone of that.

467
00:23:43,480 --> 00:23:44,080
Speaker 5: This is an.

468
00:23:44,080 --> 00:23:48,520
Speaker 1: AI chatbot version of your former loved one. I think

469
00:23:48,600 --> 00:23:51,359
Speaker 1: everybody's first initial reaction to this, and the vast majority

470
00:23:51,359 --> 00:23:54,560
Speaker 1: of people are gonna be like, this is creepy, This is,

471
00:23:54,680 --> 00:23:58,560
Speaker 1: you know, not something we should be doing. But I

472
00:23:58,640 --> 00:24:01,159
Speaker 1: can see that for certain individe jules, not me, but

473
00:24:01,240 --> 00:24:05,359
Speaker 1: for certain individuals that they know are having such a

474
00:24:05,400 --> 00:24:10,000
Speaker 1: hard time with that loved ones passing, that being able

475
00:24:10,040 --> 00:24:12,680
Speaker 1: to interact with them even though it's fake, and even

476
00:24:12,680 --> 00:24:15,840
Speaker 1: though it's AI, there's a certain percentage of the population

477
00:24:16,160 --> 00:24:19,000
Speaker 1: that I'm going to guess would get comfort and some

478
00:24:19,240 --> 00:24:22,679
Speaker 1: relief from their grief and longing and missing this person

479
00:24:23,080 --> 00:24:26,840
Speaker 1: by having this cloned AI chatbot, even though it's not

480
00:24:26,880 --> 00:24:27,600
Speaker 1: really it does.

481
00:24:27,520 --> 00:24:31,280
Speaker 4: Really blur the lines though, between memory and grief. This

482
00:24:31,359 --> 00:24:36,439
Speaker 4: could affect how people process loss and how they.

483
00:24:36,280 --> 00:24:38,520
Speaker 3: Interact with ghosts online accounts.

484
00:24:38,560 --> 00:24:41,919
Speaker 4: But this is just the next evolution, right because you

485
00:24:42,080 --> 00:24:45,080
Speaker 4: used to have a picture and then maybe a video

486
00:24:45,760 --> 00:24:50,240
Speaker 4: and then a voice message, and now their online presence

487
00:24:50,280 --> 00:24:53,840
Speaker 4: continues on even though they don't. This is just the

488
00:24:53,880 --> 00:24:58,400
Speaker 4: next step. But it does show that maybe there needs

489
00:24:58,440 --> 00:25:02,240
Speaker 4: to be some rules. Maybe you have to give permission

490
00:25:03,560 --> 00:25:06,600
Speaker 4: for this to happen. How you pass, Like, is this

491
00:25:06,640 --> 00:25:09,560
Speaker 4: something you have to consider for your will? Like?

492
00:25:09,960 --> 00:25:10,800
Speaker 5: What are yours?

493
00:25:10,880 --> 00:25:14,040
Speaker 3: Jim, when I'm gone, don't don't make me AI.

494
00:25:14,400 --> 00:25:14,880
Speaker 5: I don't know.

495
00:25:15,440 --> 00:25:17,679
Speaker 1: I don't know could make you an AI chatbot and

496
00:25:17,760 --> 00:25:19,480
Speaker 1: maybe be able to do it against your will.

497
00:25:19,480 --> 00:25:20,600
Speaker 5: That's a great question, you said.

498
00:25:20,680 --> 00:25:22,040
Speaker 1: You said a couple of things you know this is

499
00:25:22,080 --> 00:25:25,000
Speaker 1: you know, could change how people process grief, and it

500
00:25:25,000 --> 00:25:27,800
Speaker 1: would be really interesting to get a therapist perspective on that,

501
00:25:27,880 --> 00:25:32,200
Speaker 1: because my guess is, you're not processing your grief if.

502
00:25:32,080 --> 00:25:33,679
Speaker 3: You're playing You're right here, you.

503
00:25:33,960 --> 00:25:37,359
Speaker 1: Are masking or not accepting the loss of the loved

504
00:25:37,359 --> 00:25:40,400
Speaker 1: one if you're turning them into an AI chatbot after

505
00:25:40,440 --> 00:25:43,760
Speaker 1: they pass away. The other aspect of this is what

506
00:25:44,040 --> 00:25:48,040
Speaker 1: sort of real right do you retain for any content

507
00:25:48,119 --> 00:25:50,800
Speaker 1: that you create on social media or the digital space

508
00:25:50,960 --> 00:25:54,240
Speaker 1: after you die? Do you still have Because right now,

509
00:25:54,400 --> 00:25:58,720
Speaker 1: if I take a picture of you and I post

510
00:25:58,760 --> 00:26:01,760
Speaker 1: that on Facebook, I own the copyright to that image.

511
00:26:01,800 --> 00:26:02,960
Speaker 5: I took that picture I.

512
00:26:02,920 --> 00:26:05,760
Speaker 1: Posted on Facebook, I own the copyright to that image. Technically,

513
00:26:05,920 --> 00:26:08,439
Speaker 1: no one else's should be able to share, repurpose, or

514
00:26:08,480 --> 00:26:12,159
Speaker 1: do anything with that image. But if I'm posting on

515
00:26:12,200 --> 00:26:14,679
Speaker 1: Facebook and I'm posting videos of myself on Facebook and

516
00:26:14,720 --> 00:26:18,480
Speaker 1: I pass away, do I still retain the copyright?

517
00:26:18,720 --> 00:26:20,880
Speaker 5: Who do those copyright rights go to? And what can

518
00:26:20,880 --> 00:26:21,479
Speaker 5: be done with that?

519
00:26:21,520 --> 00:26:23,760
Speaker 1: This is obviously going to open up a ton of

520
00:26:23,800 --> 00:26:29,080
Speaker 1: both moral, ethical, and legal challenges, and not surprise, who's

521
00:26:29,119 --> 00:26:30,159
Speaker 1: at the forefront of it.

522
00:26:30,400 --> 00:26:32,919
Speaker 3: Facebook meta Mark Zuckerberg.

523
00:26:33,000 --> 00:26:35,800
Speaker 1: If there's something creepy that can be done on social

524
00:26:35,840 --> 00:26:38,480
Speaker 1: media and with AI, you better believe Mark Zuckerberg.

525
00:26:38,600 --> 00:26:40,640
Speaker 5: He's standing right at the front of the line ready

526
00:26:40,680 --> 00:26:41,040
Speaker 5: to do it.

527
00:26:41,160 --> 00:26:44,119
Speaker 4: He's thinking, Oh wait, there's an audience there, there's people

528
00:26:44,200 --> 00:26:46,120
Speaker 4: I can make money from this. Is that what they're

529
00:26:46,119 --> 00:26:49,600
Speaker 4: doing in Lebnon with the Leap project? Are they making

530
00:26:50,520 --> 00:26:51,399
Speaker 4: aidad people?

531
00:26:51,480 --> 00:26:53,800
Speaker 1: Oh, you're talking about the fact that Meta is building

532
00:26:54,000 --> 00:26:56,920
Speaker 1: a massive data center in Lebanon.

533
00:26:56,520 --> 00:26:59,399
Speaker 5: With the Leap project. Yeah, I mean absolutely.

534
00:26:59,440 --> 00:27:01,399
Speaker 1: I mean those data centers are going to be used

535
00:27:01,440 --> 00:27:04,120
Speaker 1: for all sorts of AI and creating an AIS.

536
00:27:04,320 --> 00:27:05,400
Speaker 3: This is the next thing.

537
00:27:05,400 --> 00:27:08,440
Speaker 1: Creating an AI chatbot from your dead loved one. Yeah,

538
00:27:08,480 --> 00:27:10,920
Speaker 1: that's certainly going to be processed through data centers. Another

539
00:27:10,960 --> 00:27:14,639
Speaker 1: great excuse to, you know, uh, protest and be against

540
00:27:14,760 --> 00:27:16,480
Speaker 1: data centers coming to your community.

541
00:27:16,560 --> 00:27:17,680
Speaker 5: If Meta is going to use them.

542
00:27:17,600 --> 00:27:20,479
Speaker 1: For something like this, this has just got creepy written

543
00:27:20,520 --> 00:27:22,560
Speaker 1: all over it. I'm trying to be I'm trying to

544
00:27:22,560 --> 00:27:24,959
Speaker 1: be a capitalist here and say it's a free market

545
00:27:25,119 --> 00:27:27,359
Speaker 1: and if Meta wants to create a product that's legally

546
00:27:27,400 --> 00:27:29,520
Speaker 1: available out there, then they should be able to create

547
00:27:29,520 --> 00:27:32,040
Speaker 1: that product and let the market decide if it's a

548
00:27:32,119 --> 00:27:34,760
Speaker 1: viable product to survive in the marketplace or not.

549
00:27:35,040 --> 00:27:37,720
Speaker 5: But man, this just creeps me out on every level.

550
00:27:37,800 --> 00:27:42,720
Speaker 4: But if the chat bot of the deceased person does

551
00:27:42,920 --> 00:27:46,920
Speaker 4: something nefarious, who is responsible at the end.

552
00:27:47,280 --> 00:27:49,600
Speaker 5: Well, that's a whole secret you hold accountable.

553
00:27:49,680 --> 00:27:52,240
Speaker 1: That's a whole separate legal question because who who is

554
00:27:52,320 --> 00:27:55,000
Speaker 1: responsible for the creation of AI? And again we're seeing

555
00:27:55,000 --> 00:27:57,479
Speaker 1: this play out in real time where people are using

556
00:27:57,920 --> 00:28:01,359
Speaker 1: AI images And we saw this Groc was having a

557
00:28:01,400 --> 00:28:04,920
Speaker 1: problem with this Twitter's AI where people were posting images

558
00:28:04,960 --> 00:28:07,280
Speaker 1: of women that were fully clothed and they were like, hey, Groc,

559
00:28:07,320 --> 00:28:10,119
Speaker 1: put her in a string bikini, and Groc would create

560
00:28:10,160 --> 00:28:13,200
Speaker 1: an image, very realistic one of that woman who was

561
00:28:13,240 --> 00:28:15,720
Speaker 1: once fully clothed that is now wearing a string bikini.

562
00:28:15,920 --> 00:28:21,679
Speaker 1: Who is responsible for when AI breaks the law or

563
00:28:21,760 --> 00:28:25,400
Speaker 1: does something that would hold a real human being liable?

564
00:28:25,680 --> 00:28:29,280
Speaker 4: And another thing it does is for anybody who has

565
00:28:29,359 --> 00:28:31,920
Speaker 4: ANIL contract name.

566
00:28:31,920 --> 00:28:34,040
Speaker 5: Image likeness, college athletes.

567
00:28:33,760 --> 00:28:36,520
Speaker 4: They really have to be forward thinking and make sure

568
00:28:36,520 --> 00:28:40,520
Speaker 4: that there's an AI component in there if they don't want.

569
00:28:40,360 --> 00:28:42,600
Speaker 3: To be turned into some sort of AI.

570
00:28:43,000 --> 00:28:45,120
Speaker 1: Right, And it has no use without even their knowledge,

571
00:28:45,160 --> 00:28:47,720
Speaker 1: and that has nothing to do necessarily with them passing away.

572
00:28:48,240 --> 00:28:50,680
Speaker 1: It has to do with you know, if you're giving

573
00:28:50,760 --> 00:28:55,240
Speaker 1: up your name, image and likeness in any manner or fashion,

574
00:28:55,840 --> 00:28:58,560
Speaker 1: do you have rights to that as it relates to

575
00:28:58,640 --> 00:29:00,360
Speaker 1: AI generating content around that.

576
00:29:00,560 --> 00:29:03,680
Speaker 4: Now, this patent filed by Meta was done in twenty three.

577
00:29:04,120 --> 00:29:07,400
Speaker 4: It was granted in late of twenty five. Meta says

578
00:29:07,480 --> 00:29:11,880
Speaker 4: they currently have no plans to develop or deploy this technology.

579
00:29:12,720 --> 00:29:15,800
Speaker 4: They just want to have the patent just in case,

580
00:29:16,040 --> 00:29:18,560
Speaker 4: but the patent so that nobody else can have it.

581
00:29:18,720 --> 00:29:21,080
Speaker 4: No plans because we trust them.

582
00:29:21,280 --> 00:29:24,480
Speaker 1: What did you accidentally file a request with the US

583
00:29:24,520 --> 00:29:25,200
Speaker 1: Patent Office?

584
00:29:25,240 --> 00:29:26,520
Speaker 5: We didn't have any plan for this.

585
00:29:26,720 --> 00:29:29,440
Speaker 1: I don't know how that patent application got fired, just

586
00:29:29,520 --> 00:29:31,280
Speaker 1: kind of fell into a pile with the rest of

587
00:29:31,320 --> 00:29:31,880
Speaker 1: them that we see.

588
00:29:31,920 --> 00:29:34,280
Speaker 4: They said that they often have project ideas that may

589
00:29:34,360 --> 00:29:36,360
Speaker 4: never become real products.

590
00:29:36,720 --> 00:29:40,960
Speaker 1: Oh sure that is That is corporate speak for I'm

591
00:29:41,000 --> 00:29:45,840
Speaker 1: not telling you we may do this tomorrow. We may

592
00:29:45,880 --> 00:29:48,720
Speaker 1: never do it. I'm not telling you. But the important

593
00:29:48,720 --> 00:29:52,480
Speaker 1: part of that is we absolutely can do it if

594
00:29:52,520 --> 00:29:52,960
Speaker 1: we want.

595
00:29:53,200 --> 00:29:57,600
Speaker 4: Global cocaine production has hid an all time high, by

596
00:29:57,640 --> 00:29:58,080
Speaker 4: the way.

597
00:29:58,200 --> 00:30:01,160
Speaker 1: Shocking I mean, that's surprised, like cocaine is so out

598
00:30:01,160 --> 00:30:05,280
Speaker 1: of favor, and look, that's not my bag. But for

599
00:30:05,400 --> 00:30:08,080
Speaker 1: what I do know about, you know, hard drugs, it

600
00:30:08,160 --> 00:30:10,240
Speaker 1: seemed like cocaine really had kind of taken a back

601
00:30:10,240 --> 00:30:11,600
Speaker 1: seat the last ten or twenty years.

602
00:30:11,640 --> 00:30:16,840
Speaker 4: I know absolutely nothing about zero, but supply has apparently skyrocketed.

603
00:30:17,360 --> 00:30:21,440
Speaker 4: It's much cheaper and more widely available than it ever

604
00:30:21,520 --> 00:30:22,480
Speaker 4: has been before.

605
00:30:22,720 --> 00:30:26,760
Speaker 3: I thought we said no to drugs and cocaine was

606
00:30:26,800 --> 00:30:27,440
Speaker 3: out of favor.

607
00:30:27,600 --> 00:30:30,360
Speaker 4: Yeah, apparently it's back in some circles.

608
00:30:30,880 --> 00:30:32,440
Speaker 5: Everything old is new again.

609
00:30:32,520 --> 00:30:34,600
Speaker 1: And if people were you know, doing lines of coke

610
00:30:34,680 --> 00:30:38,000
Speaker 1: and Studio fifty four and on tables at you know,

611
00:30:38,080 --> 00:30:39,920
Speaker 1: on Wall Street in the eighties, I mean that was

612
00:30:39,960 --> 00:30:43,040
Speaker 1: really the height of cocaine, late seventies and the eighties.

613
00:30:43,720 --> 00:30:46,920
Speaker 1: Dancy Reagan just say No campaign that was all driven

614
00:30:46,960 --> 00:30:50,880
Speaker 1: around cocaine, which was a very pricey drug, especially compared

615
00:30:50,920 --> 00:30:52,680
Speaker 1: to others. And then it seems like you saw these

616
00:30:52,720 --> 00:30:55,920
Speaker 1: cheaper drugs, whether it was meth or fentanyl, that would

617
00:30:56,040 --> 00:30:59,400
Speaker 1: kind of take over and replace those. So it's just

618
00:30:59,440 --> 00:31:03,360
Speaker 1: a surprise, a surprise statement that we've seen record levels

619
00:31:03,400 --> 00:31:06,080
Speaker 1: of cocaine production because it did seem like it had

620
00:31:06,080 --> 00:31:06,800
Speaker 1: fallen out of face.

621
00:31:06,800 --> 00:31:09,040
Speaker 3: Do you think it's because of the movie Cocaine.

622
00:31:08,680 --> 00:31:11,720
Speaker 5: Bear, that the Cocaine Bear all of a.

623
00:31:11,720 --> 00:31:14,560
Speaker 1: Sudden, now it turned me off of it re instituted

624
00:31:14,600 --> 00:31:17,880
Speaker 1: cocaine back into the American pop culture psyche. And people

625
00:31:17,920 --> 00:31:20,800
Speaker 1: were like, you know what, that bear in the movie

626
00:31:20,840 --> 00:31:23,560
Speaker 1: looked like he was having a really good time on cocaine.

627
00:31:23,680 --> 00:31:25,760
Speaker 5: I should give cocaine another chance.

628
00:31:26,520 --> 00:31:29,160
Speaker 1: I've been ignoring it for my fentanyl and meth all

629
00:31:29,160 --> 00:31:32,560
Speaker 1: these years. Maybe I should go back to cocaine. I'm

630
00:31:32,680 --> 00:31:34,520
Speaker 1: gonna have to dig into more of this because, like

631
00:31:34,560 --> 00:31:37,200
Speaker 1: I said, really surprised, because it seemed like cocaine had

632
00:31:37,240 --> 00:31:39,080
Speaker 1: just kind of completely fallen out of favor.

633
00:31:39,280 --> 00:31:41,640
Speaker 3: This is a sad story out of Morocco.

634
00:31:41,760 --> 00:31:44,840
Speaker 4: They're preparing to host the twenty thirty FIFA World Cup

635
00:31:45,000 --> 00:31:48,600
Speaker 4: with Spain and Portugal, and animal welfare groups are claiming

636
00:31:48,640 --> 00:31:54,040
Speaker 4: that authorities are killing large numbers of stray dogs, potentially

637
00:31:54,520 --> 00:31:57,640
Speaker 4: millions of them, and this is all in an effort

638
00:31:57,720 --> 00:31:59,920
Speaker 4: to clean up the area.

639
00:32:00,080 --> 00:32:03,040
Speaker 1: Yeah, you know, you want to clean up your area

640
00:32:03,040 --> 00:32:04,360
Speaker 1: a lot of people, you know, Well, you want to

641
00:32:04,400 --> 00:32:06,480
Speaker 1: get the homeless out of there. Fine, but once you

642
00:32:06,520 --> 00:32:09,360
Speaker 1: start messing with our dogs, that's where people are going.

643
00:32:09,360 --> 00:32:11,520
Speaker 5: To have a problem. That's a lot of dogs. That's

644
00:32:11,560 --> 00:32:14,480
Speaker 5: a lot billion, seems like an incredible amount of dogs.

645
00:32:15,840 --> 00:32:17,960
Speaker 4: This is a lot different. Do you remember when Gigiping

646
00:32:18,120 --> 00:32:22,240
Speaker 4: was visiting Los Angeles and Gavin Newsom San Francisco, San Francisco,

647
00:32:22,360 --> 00:32:24,280
Speaker 4: and Gavin Newsom was cleaning up the.

648
00:32:24,280 --> 00:32:26,280
Speaker 3: Streets magically all of a sudden, end.

649
00:32:26,240 --> 00:32:30,280
Speaker 4: Of the graffiti and housing the homeless. That's that's a

650
00:32:30,320 --> 00:32:34,040
Speaker 4: lot different than what they're doing by just killing animals.

651
00:32:34,360 --> 00:32:36,400
Speaker 1: Yeah, and I think I think you see this whenever

652
00:32:36,680 --> 00:32:40,320
Speaker 1: a city all of a sudden has the international spotlight

653
00:32:40,440 --> 00:32:43,320
Speaker 1: focused on it. And yes, Gavin Newsom certainly did that

654
00:32:43,560 --> 00:32:47,320
Speaker 1: in San Francisco, and Gigiping, you know, visited this country

655
00:32:47,360 --> 00:32:49,480
Speaker 1: and he admitted it, came out and said it. Yeah,

656
00:32:49,560 --> 00:32:51,840
Speaker 1: we could have made San Francisco beautiful the whole time.

657
00:32:52,040 --> 00:32:55,720
Speaker 1: We just chose not to, except when the communist leader

658
00:32:55,760 --> 00:32:57,400
Speaker 1: of China came to our doorstep.

659
00:32:57,560 --> 00:32:58,360
Speaker 5: But you hear this a lot.

660
00:32:58,400 --> 00:33:00,720
Speaker 1: Whenever, you know, the Olympics are held in any of

661
00:33:00,720 --> 00:33:02,560
Speaker 1: these cities, there's a lot of cleanup that has to

662
00:33:02,560 --> 00:33:05,160
Speaker 1: be done. Whether that's just general pollution and trash, or

663
00:33:05,160 --> 00:33:08,400
Speaker 1: whether it's homeless or whether it's crime. I guess this

664
00:33:08,520 --> 00:33:11,040
Speaker 1: is just another extension of it. But I've never heard

665
00:33:11,080 --> 00:33:15,360
Speaker 1: of a mass slaughtering of dogs to be able to

666
00:33:15,480 --> 00:33:17,280
Speaker 1: kind of clean up your streets before you've got a

667
00:33:17,280 --> 00:33:18,160
Speaker 1: major sporting event.

668
00:33:18,280 --> 00:33:22,600
Speaker 4: Maybe they should put some emphasis on sterilization programs instead.

669
00:33:23,040 --> 00:33:27,440
Speaker 3: Yeah, I like this is a this is a bitter.

670
00:33:27,760 --> 00:33:30,320
Speaker 1: I can't imagine anyway that you can put some lipstick

671
00:33:30,360 --> 00:33:32,320
Speaker 1: on this and make it look good. It's a terrible

672
00:33:32,360 --> 00:33:35,080
Speaker 1: look for FIFA, terrible look for the World Cup, and

673
00:33:35,120 --> 00:33:38,080
Speaker 1: a bad look for Morocco that they are willing to

674
00:33:38,160 --> 00:33:40,480
Speaker 1: do this. And by the way, way in advance, we

675
00:33:40,600 --> 00:33:42,680
Speaker 1: still got four years, we still got the World Cup

676
00:33:42,720 --> 00:33:45,160
Speaker 1: in the United States coming this year. We're talking about

677
00:33:45,200 --> 00:33:48,000
Speaker 1: twenty thirty, and they've already got plans to kill three

678
00:33:48,040 --> 00:33:52,320
Speaker 1: million dogs. You think maybe there's another option that could

679
00:33:52,320 --> 00:33:54,120
Speaker 1: take four years to where you don't have to kill

680
00:33:54,120 --> 00:33:54,440
Speaker 1: them all.

681
00:33:55,200 --> 00:33:57,720
Speaker 3: And this is a this is a nice story. We're

682
00:33:57,720 --> 00:33:58,240
Speaker 3: not going to end on.

683
00:33:58,680 --> 00:34:01,440
Speaker 5: Let's please not end on the day dog story, thank you.

684
00:34:02,000 --> 00:34:04,880
Speaker 4: How about a dog that deserves to be celebrated, K

685
00:34:05,000 --> 00:34:08,160
Speaker 4: nine Mac police dog with the Jasper Police Department retired

686
00:34:08,200 --> 00:34:12,279
Speaker 4: after seven years on the job. He was tasked with

687
00:34:12,480 --> 00:34:18,399
Speaker 4: narcotics detection, tracking suspects, and also article searches and he

688
00:34:18,600 --> 00:34:22,040
Speaker 4: was on the job for over seventeen hundred hours and

689
00:34:22,120 --> 00:34:26,200
Speaker 4: now he's retiring. They celebrated his retirement in the police

690
00:34:26,200 --> 00:34:28,960
Speaker 4: department by showing a video of him playing with a

691
00:34:29,000 --> 00:34:30,280
Speaker 4: pile of tennis balls.

692
00:34:30,480 --> 00:34:32,919
Speaker 1: I love that, And of course we've seen these other

693
00:34:33,000 --> 00:34:36,560
Speaker 1: times too, when you have this police dog that retires

694
00:34:36,560 --> 00:34:38,239
Speaker 1: and they either give him a big steak or they

695
00:34:38,320 --> 00:34:39,200
Speaker 1: drop a ton of ping.

696
00:34:39,120 --> 00:34:41,040
Speaker 5: Pong balls on him. He got a whole bunch of

697
00:34:41,040 --> 00:34:41,640
Speaker 5: tennis balls.

698
00:34:41,800 --> 00:34:44,840
Speaker 1: I will say that whenever I see police dogs or

699
00:34:44,880 --> 00:34:48,919
Speaker 1: bomb sniffing dogs in public, you're not supposed to pet him.

700
00:34:49,200 --> 00:34:51,759
Speaker 1: And man, that's hard. Are you just looking at this

701
00:34:51,880 --> 00:34:53,839
Speaker 1: German shepherd? You're like, Oh, he's just such a good

702
00:34:53,840 --> 00:34:56,160
Speaker 1: old boy. Want to get there and rub his ears

703
00:34:56,200 --> 00:34:57,440
Speaker 1: and ruffle his fur.

704
00:34:58,360 --> 00:34:59,279
Speaker 5: But you can't do that.

705
00:34:59,360 --> 00:35:02,239
Speaker 1: Then, So our salute to this police dog from the

706
00:35:02,320 --> 00:35:03,280
Speaker 1: Jasper Police Force.

707
00:35:03,360 --> 00:35:07,080
Speaker 4: He's going to enjoy his retirement as a full time companion.

708
00:35:07,520 --> 00:35:16,000
Speaker 4: You're listening to ninety three WIBC, and I said, I'm.

709
00:35:15,880 --> 00:35:17,120
Speaker 5: Not scared of a germ.

710
00:35:17,520 --> 00:35:19,880
Speaker 3: You know, I used to snort for cocaine off a

711
00:35:19,960 --> 00:35:20,960
Speaker 3: toilet disease.

712
00:35:21,560 --> 00:35:22,279
Speaker 2: And a half.

713
00:35:22,680 --> 00:35:25,080
Speaker 5: I know this disease will kill me. Try to get

714
00:35:25,120 --> 00:35:25,640
Speaker 5: tied home.

715
00:35:27,560 --> 00:35:33,040
Speaker 4: There, you've got your health secretary talking about snorting cocaine off.

716
00:35:32,880 --> 00:35:36,040
Speaker 3: Of a toilet seat. He did that on a THEO

717
00:35:36,120 --> 00:35:38,080
Speaker 3: von podcast, and.

718
00:35:40,480 --> 00:35:44,520
Speaker 4: He's not walking away from it right his past, his history, He's.

719
00:35:44,360 --> 00:35:46,120
Speaker 3: Putting it out there for everyone to see.

720
00:35:46,239 --> 00:35:48,719
Speaker 1: Absolutely, you got to give credit to rfk Jr. He

721
00:35:48,840 --> 00:35:50,800
Speaker 1: owns all the stuff that he's done in the past.

722
00:35:50,800 --> 00:35:53,080
Speaker 1: What was that story during the election about how he

723
00:35:53,200 --> 00:35:55,799
Speaker 1: killed a bear in Central Park and dragged it and.

724
00:35:55,760 --> 00:35:56,560
Speaker 5: Threw it in his car.

725
00:35:56,719 --> 00:35:59,520
Speaker 1: He's not denying this, he's not running away from any

726
00:35:59,520 --> 00:36:01,960
Speaker 1: of it. He's free to he's freely talking about it.

727
00:36:01,960 --> 00:36:04,520
Speaker 1: It's it's kind of refreshing to hear that from a

728
00:36:04,560 --> 00:36:07,040
Speaker 1: politician that he's willing to go on a podcast like

729
00:36:07,080 --> 00:36:09,520
Speaker 1: THEO Vaughan's and you casually talk about, Hey, you know,

730
00:36:09,560 --> 00:36:11,799
Speaker 1: I used to snort cocaine off of toilet seats.

731
00:36:11,520 --> 00:36:15,040
Speaker 4: All the time, and people wonder maybe that's how he

732
00:36:15,080 --> 00:36:17,600
Speaker 4: got the brain worm that he talked about as well.

733
00:36:17,800 --> 00:36:20,319
Speaker 1: Yeah, or maybe that's how his voice got to the

734
00:36:20,360 --> 00:36:22,680
Speaker 1: point where it is. Look, the guy's done a lot

735
00:36:22,840 --> 00:36:26,120
Speaker 1: of shady things in his past. I will give him

736
00:36:26,120 --> 00:36:29,400
Speaker 1: credit for not running from them and admitting them and

737
00:36:29,600 --> 00:36:32,520
Speaker 1: talking about them and meeting them head on, but certainly

738
00:36:32,560 --> 00:36:35,400
Speaker 1: he's done a lot of things that you shouldn't do

739
00:36:35,440 --> 00:36:36,000
Speaker 1: in his past.

740
00:36:36,160 --> 00:36:41,440
Speaker 4: His next effort is to review the US Infant Formula guidelines.

741
00:36:43,160 --> 00:36:46,400
Speaker 1: Go straight from cocaine on toilet seats to US Infant

742
00:36:46,440 --> 00:36:49,480
Speaker 1: Formula guidelines. Look, I've done it right. I've done a

743
00:36:49,480 --> 00:36:51,560
Speaker 1: lot of things in my past I'm not proud of.

744
00:36:52,000 --> 00:36:56,040
Speaker 1: Sure has been occasions where I've drank to excess, maybe

745
00:36:56,080 --> 00:36:59,160
Speaker 1: maybe even recently. But one thing I've never done is

746
00:36:59,200 --> 00:37:01,320
Speaker 1: done cocaine off of a toilet seat. And it reminds

747
00:37:01,320 --> 00:37:03,520
Speaker 1: me of the stand up comedian John Mulaney in his

748
00:37:03,600 --> 00:37:09,359
Speaker 1: latest Netflix special, talks about how the baby changing stations

749
00:37:09,480 --> 00:37:13,360
Speaker 1: in restrooms, especially male restrooms, they are strictly used for

750
00:37:13,400 --> 00:37:15,759
Speaker 1: doing cocaine. He's never and now that he says that,

751
00:37:15,800 --> 00:37:17,880
Speaker 1: I can honestly say that I have never seen in

752
00:37:17,920 --> 00:37:21,759
Speaker 1: a men's room a man changing a baby's diaper on

753
00:37:21,800 --> 00:37:25,279
Speaker 1: those baby The little Koala baby changing stations there. Now, I've

754
00:37:25,280 --> 00:37:27,800
Speaker 1: also never seen anybody do cocaine off of it either.

755
00:37:28,000 --> 00:37:29,560
Speaker 1: My guess is that they're going to be a little

756
00:37:29,560 --> 00:37:31,680
Speaker 1: bit more discreet about that. The other thing that John

757
00:37:31,760 --> 00:37:34,319
Speaker 1: Mulaney says in his stand up special that I found

758
00:37:34,400 --> 00:37:37,600
Speaker 1: hilarious is that when you're a cocaine addict, you see

759
00:37:37,640 --> 00:37:41,800
Speaker 1: everything in surfaces of surfaces. Everything is a flat surface

760
00:37:41,800 --> 00:37:43,719
Speaker 1: to be able to snort cocaine off of. And I

761
00:37:43,719 --> 00:37:46,480
Speaker 1: guess in this case, either a baby changing station or

762
00:37:46,520 --> 00:37:48,840
Speaker 1: a toilet seat matches that requirement.

763
00:37:48,960 --> 00:37:51,879
Speaker 4: Well, we spent much more time talking about cocaine today

764
00:37:51,920 --> 00:37:52,799
Speaker 4: than I thought we were going.

765
00:37:53,040 --> 00:37:55,160
Speaker 1: I was surprised at how much cocaine was part of

766
00:37:55,200 --> 00:37:58,680
Speaker 1: the conversation. But apparently the demand worldwide, demand is through

767
00:37:58,680 --> 00:38:00,880
Speaker 1: the roof, and so it's a topic of conversation for

768
00:38:00,960 --> 00:38:02,520
Speaker 1: both US and RFK Junior.

769
00:38:02,640 --> 00:38:06,040
Speaker 4: Yeah. Well, RFK Junior raising questions about seed oils, heavy

770
00:38:06,080 --> 00:38:07,560
Speaker 4: metals and other ingredients.

771
00:38:07,600 --> 00:38:10,560
Speaker 3: And up next it is baby formula that's going to

772
00:38:10,600 --> 00:38:12,720
Speaker 3: do it for us today. Thank you, Jim, Thank you Kevin,

773
00:38:12,760 --> 00:38:16,200
Speaker 3: Thank you for listening. This is ninety three WIBC