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Speaker 1: You're listening to Rob Kendall. When we talk about sending

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Speaker 1: money somewhere, we're talking about printing the money because we

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Speaker 1: have no money.

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Speaker 2: And Casey Daniels, my government would never lie to me,

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Speaker 2: would they?

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Speaker 1: On ninety three tumbled you why PC. So it appears

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Speaker 1: the Marion County Prosecutor's Office, allegedly, yeah, is now involved.

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Speaker 2: Yeah, you're talking about that story that came out involving

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Speaker 2: a deep fake scandal within the state House.

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Speaker 1: Okay, So we got to reset this because this is

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Speaker 1: a look. I've been actively paying atted in covering Indiana

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Speaker 1: politics and government nine years here, fifteen years collectively, and

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Speaker 1: this is the most crazy allegation I think I've ever heard,

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Speaker 1: and we still don't even really know totally what to

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Speaker 1: make of it. Yesterday we did the ten o'clock hour.

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Speaker 1: We talked about this story from Tom Labianco. He's a

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Speaker 1: freelance journalist. He wrote a big book on Mike Pence.

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Speaker 1: You've seen him on Fox News, MSNBC, worked for Thessociated Press.

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Speaker 1: Local people annoy him. He was a reporter for years

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Speaker 1: here with The Indie Star about these allegations that employees

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Speaker 1: in the Lieutenant Governor's office were sharing a I guess

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Speaker 1: they called deep fake pornography of a state reps wife, right, Okay,

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Speaker 1: So this was all the conversations understanding yesterday in the

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Speaker 1: state House. This is now a massive deal. And by

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Speaker 1: the way, LaBianca is going to join us today at

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Speaker 1: ten oh six to talk about his reporting because there

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Speaker 1: is a new report out today and I'll just read

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Speaker 1: the headline, Indie prosecutor probe's topless deep fake Haggard blast

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Speaker 1: pornographic smear of his wife.

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Speaker 2: So okay, So yesterday it was just reported a lawmaker's wife.

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Speaker 2: Now we know who that lawmaker is.

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Speaker 1: And that is Representative Craig Haggard. Craig Haggard represents it's

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Speaker 1: a part of Hendricks County. I think he's into Johnson County.

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Speaker 1: It's one of those guys who's got multiple counties. And yes,

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Speaker 1: I talked, as we said yesterday, I talked to Craig

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Speaker 1: yesterday for quite a while and we're going to read

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Speaker 1: his quote from this story, and what he said to

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Speaker 1: me yesterday really mirrors the quote that he gave Tom

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Speaker 1: Labianco today. So you've got two really breaking developments in

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Speaker 1: this Allegedly, the Marin County Prosecutor's office is doing some

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Speaker 1: sort of investigating into this, and Representative Haggard, with a

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Speaker 1: very forceful statement, has come forward on this. So why

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Speaker 1: don't we read And it's a big story if you

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Speaker 1: want to follow this story. So Tom LaBianca, like we said,

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Speaker 1: he's a freelance journalist. The website is twenty four site

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Speaker 1: dot news, so two four sigh ts dot news. I've

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Speaker 1: also got the story, the latest story up at Robin

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Speaker 1: Kendall because again and we'll get into this with Tom

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Speaker 1: come out of a ten oh six. He still hasn't

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Speaker 1: named his publicly named his sources, so he has not

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Speaker 1: that led him to start covering this story now, and

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Speaker 1: we will ask Tom about this at ten oh six.

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Speaker 1: But I'm going to read you the quotes from Representative Haggard.

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Speaker 1: It certainly appears that he believes it's real. Now, I

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Speaker 1: don't want to put words in his mouth, but when

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Speaker 1: we read you the quotes from him, he's certainly not

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Speaker 1: he's certainly operating and you can correct me I'm wrong.

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Speaker 1: Have you hear this that he certainly believes that this

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Speaker 1: appeared to allegedly have happened. Quote My wife and I

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Speaker 1: are outraged and saddened by her singing at a charity

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Speaker 1: event for mental health was turned into a pornographic smear

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Speaker 1: of her and our family. State House leadership, rather than

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Speaker 1: expressing concern for a victim of this criminal act, instead

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Speaker 1: went into full find the leakers mode, seeking to cover

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Speaker 1: up any role the Lieutenant Governor's office may have played

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Speaker 1: in this affront to all women. That is the quote

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Speaker 1: from Representative Craig Haggard.

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Speaker 2: So it sounds like he definitely believes that this happened.

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Speaker 2: So I do have many questions about this one regarding

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Speaker 2: the well Tom Labianco's investigation into this. Does he have

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Speaker 2: a motivation himself for writing this article? Who are his sources?

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Speaker 2: And at what point will he be revealing them? And

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Speaker 2: I guess the biggest question of all, where is the proof?

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Speaker 2: And I will ask him that when he joins us

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Speaker 2: at ten o'clock.

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Speaker 1: Okay. Haggard then went on to say, because apparently he

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Speaker 1: confronted Rod Bray, who is the pro tim and the

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Speaker 1: Senate about this over I guess it's over the weekend.

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Speaker 1: He then went on to saying this article that Labianco

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Speaker 1: has posted this morning quote when given the opportunity to

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Speaker 1: stand up for justice and the dignity of women. Pro

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Speaker 1: Senate pro Tim rod Bray said, quote, I don't care.

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Speaker 1: So that is that's where we're at with this. We'll

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Speaker 1: have Tom Lobianco on at ten oh six. We'll try

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Speaker 1: to get some more information on this. Obviously there's a

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Speaker 1: new story to update. And right now Micah and his office,

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Speaker 1: I guess, are saying this. He had a town all

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Speaker 1: last night, Tara hate is my understanding he did. He

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Speaker 1: still says he said it didn't happen. He's conducted. Did

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Speaker 1: he say some sort of investigation?

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Speaker 2: He said that he did. He had an internal investigation.

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Speaker 1: And this is why this is. This is I mean,

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Speaker 1: there's many layers to this of why this is fascinating,

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Speaker 1: but two things cannot be true at the same time.

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Speaker 1: Right Mike is saying it didn't happen, and to some

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Speaker 1: extent he has invested himself not into I'll get to

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Speaker 1: the bottom of it. He's made a definitive statement on

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Speaker 1: multiple occasions that it didn't happen. So he's he's staked

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Speaker 1: a ground. Labianco, who is a nationally known journalist, and

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Speaker 1: we'll try to find out what the sources.

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Speaker 2: Are, what processes does he go through.

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Speaker 1: He seems rock solid. It happened. And so now this

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Speaker 1: is going to be super fascinating because nobody appears to

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Speaker 1: be in the maybe camp on this, and which means

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Speaker 1: common sense will tell you somebody got be right and

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Speaker 1: somebody got to be wrong. And I come back to

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Speaker 1: Craig Haggard's statement, which it appears, and last Lobiancle if

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Speaker 1: he's got more details on that coming up with tennial six.

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Speaker 1: He thinks it happened. So that's where we're at on this,

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Speaker 1: and so we'll keep you up with today's things developed.

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Speaker 2: All right, He's going to join us at ten today

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Speaker 2: on ninety three WIBC. Let's turn to what's going on

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Speaker 2: in Texas. They had a vote and they passed a

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Speaker 2: motion to issue arrest warrants for members who were not

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Speaker 2: present in the Texas House.

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Speaker 1: They had six days.

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Speaker 3: The players, the serves in arms and any officers appointed

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Speaker 3: by her are ranked to the city for all absentees

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Speaker 3: because the vents is not excused the purpose on the

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Speaker 3: security and maybe under more to the west necessary until

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Speaker 3: the public house.

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Speaker 2: So Democratic lawmakers they fled the state in Texas to

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Speaker 2: block a GOP redistricting plan.

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Speaker 1: Okay, So I just looked at the clock. Why don't

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Speaker 1: we take a quick break, because because I think there's

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Speaker 1: some things that this is affecting potentially here in Indiana, Okay,

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Speaker 1: and I want to be able to get into that,

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Speaker 1: but I also want to explain this is the worst

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Speaker 1: of everything. And there was actually a really good piece

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Speaker 1: by Julia Vaughan, who helps run a Common Cause Indiana

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Speaker 1: in the Indiana Capitol Chronicle because the Democrats are doing this,

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Speaker 1: are pondering doing this too in another state, and she

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Speaker 1: took both the Republicans and Democrats to task on this.

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Speaker 1: And so I need more time. I need more time,

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Speaker 1: need more time because there's so many things I want

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Speaker 1: to touch.

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Speaker 2: On with that. All right, we'll get to it next

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Speaker 2: on ninety three WYBC.

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Speaker 1: Everything about what's going on in Texas in California with

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Speaker 1: these rediss districting things, because it is just it is

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Speaker 1: gross how people are trying to rig our electoral system

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Speaker 1: in their party's favor, and we the people who care

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Speaker 1: about fair and fairness and decency in the elections are

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Speaker 1: the ones who lose. So it's kindl case show. I'm

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Speaker 1: rob that's Casey, all right, So let's updated you last

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Speaker 1: segment that what the governor of Texas and now by

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Speaker 1: an act of the General Assembly, they are ordering the

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Speaker 1: arrest of lawmakers in the state of Texas, Democrat lawmakers

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Speaker 1: who have fled the state of Texas in order to

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Speaker 1: so that there cannot be a vote on this redistricting stuff.

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Speaker 2: Yeah, and isn't it interesting because, as you mentioned, you've

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Speaker 2: got the Texas Governor Greg Abbott and also the California

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Speaker 2: Governor Gavin Newsom on polar opposite sides of the political spectrum,

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Speaker 2: and they're both pushing for these mid cycle redistricting So

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Speaker 2: it's happening on both sides. Now, the people in Texas saying, well,

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Speaker 2: we've grown so much, that's why we have to redistrict.

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Speaker 2: So what is California saying? People are moving away from California,

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Speaker 2: So why do they want to do it?

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Speaker 1: Okay, so just real quick, I know most people know,

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Speaker 1: but let's talk about what they're doing here. So the

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Speaker 1: state of Texas will start with just Texas because this

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Speaker 1: is going on in California too. It's a different set

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Speaker 1: of circumstances, but they're trying to do the same thing.

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Speaker 1: The State of Texas believes that if they every ten years,

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Speaker 1: the United States does a census, right, like you're asked

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Speaker 1: to fill out how many people live in your house

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Speaker 1: blah blah blah. And then off of that US census,

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Speaker 1: congressional delegations are like, each state gets a certain amount

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Speaker 1: of US representative stace on population, and as a part

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Speaker 1: of that, then your states have to redistrict their House

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Speaker 1: and Senate maps based on population, where have people moved to?

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Speaker 1: You have to draw all the maps. There are federally

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Speaker 1: regulated requirements on race, et cetera. Right, so all of

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Speaker 1: these things have to be factored in. Well, the state

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Speaker 1: of Texas believes, what are we were halfway through that

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Speaker 1: ten year redistricting process or the consensus process, that we've

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Speaker 1: had enough people move here and the way they've moved

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Speaker 1: here and the way they vote. It would give us

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Speaker 1: more representation in the US House of Representatives if we

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Speaker 1: can do this special redistricting the way people have moved

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Speaker 1: where they're at, et cetera. And this is all about

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Speaker 1: getting more Republicans in the House of Representatives. So what

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Speaker 1: they're trying to do is bypass the ten year standard

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Speaker 1: that everybody has always played by. It's like, right, we're

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Speaker 1: all played by the same rules here. You do it

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Speaker 1: every ten years. We all do it every ten years.

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Speaker 1: They're trying to bypass this. But the gross part is

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Speaker 1: they're tying this vote. So the Democrats are like, we're

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Speaker 1: not going to have any part of this. We're out

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Speaker 1: of here. If we're not here, you can vote. And

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Speaker 1: I took gre Hystrey. I'm torn on that because there's

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Speaker 1: a part of me that goes, Okay, Republicans are pulling

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Speaker 1: bull crap. They shouldn't be able get away with this. However,

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Speaker 1: your job is to show up and fight and vote.

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Speaker 1: So I'm torn on that. What the Republicans are doing

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Speaker 1: that's very gross though, is they're they're tying essential state business,

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Speaker 1: including flood relief, to this vote. So what they're doing

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Speaker 1: now is going out and going The Democrats have abandoned

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Speaker 1: the state of Texas, and they are denying these people

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Speaker 1: who desperately need help, by the way, flood relief. When

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Speaker 1: the Republicans know damn well that if they simply had

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Speaker 1: a special session on a vote on flood relief, everyone

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Speaker 1: would be there and everybody would be voting, and they

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Speaker 1: know exactly what they're doing, so that's awful in California

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Speaker 1: because Gavin Newsom has said, oh yeah, watch this now

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Speaker 1: they're trying to do it out there in California or

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Speaker 1: exploring it saying, well, if Texas did it, we're going

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Speaker 1: to do it. And Julia Vaughan, who is the I

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Speaker 1: think executive director is her title of the group Common

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Speaker 1: Cause Indiana. They fight for a variety of issues related

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Speaker 1: to the fairness in government. Some of the things they

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Speaker 1: do I agree with some of them. They don't. But

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Speaker 1: she had an opinion piece in the Capitol Chronicle about this,

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Speaker 1: and she really blasted both California, which is run by Democrats,

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Speaker 1: and Texas, which is run by Republicans, and essentially saying

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Speaker 1: this is awful. We do this every ten years. People

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Speaker 1: move where they move. Everybody agreed to the rules, We

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Speaker 1: have these commissions that are supposed to do this in

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Speaker 1: a lot of these states. You are bypassing all of this,

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Speaker 1: and you are totally telling people. She did not use

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Speaker 1: these words. I'm using it though. It's another example about

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Speaker 1: government is whose line is it? Anyway? The television show

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Speaker 1: where the game's made up and the rules don't matter.

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Speaker 1: Everybody knows what the Republicans are doing in Texas. Everybody

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Speaker 1: knows they are tying this flood relief stuff so that

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Speaker 1: they can go out and say and they did it yesterday.

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Speaker 1: You watched these Republicans, I think the Speaker of the House,

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Speaker 1: the Attorney General, the governor, none of them will talk

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Speaker 1: about redistricting. The talking points are the Democrats have fled

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Speaker 1: the state and are denying the people fled relief in

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Speaker 1: the state of Texas. They know, damn well, Casey, why

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Speaker 1: those people left the state. Not saying it's right, but

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Speaker 1: I'm saying they know why they left.

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Speaker 2: Yeah. Abbott is saying that they've abandoned their duty and

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Speaker 2: they're holding critical legislation hostage as well. Now in the

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Speaker 2: article that you referenced, they're saying, okay, so there you

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Speaker 2: mentioned the commission. There's the Citizens Redistricting Commission, and it's

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Speaker 2: been seen as a nonpartisan fair redistricting, right, but now

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Speaker 2: they're saying that in California, Newsom is threatening their authority.

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Speaker 1: Yeah, yeah, so, and now Schwarzenegger, this is wild. I

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Speaker 1: read an article history in Politico Schwarzenegger, who was the

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Speaker 1: governor when they put these two There were two sets

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Speaker 1: of commissions that were put in place where he was

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Speaker 1: governor is now saying if he does this, I will

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Speaker 1: come out as part of this group vehemently apo this

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Speaker 1: because you're screwing everybody, and we are just seeing this

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Speaker 1: on full display that all this is none of what's

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Speaker 1: going on. It's a it's dinner theater. All our politics

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Speaker 1: are are dinner. They at dinner theory. It's a it's

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Speaker 1: an evening at beef and boards. Okay, that's what it is.

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Speaker 1: Because they're just making all of this up to design

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Speaker 1: to keep themselves, their party whatever in power.

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Speaker 2: Now, how does this affect Hoosiers?

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Speaker 1: Okay, So I was told today by what I would

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Speaker 1: call a very reliable source, and this person had not

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Speaker 1: told me this as they take it to the bank.

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Speaker 1: I'm not saying this is going to happen. I'm just

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Speaker 1: saying that that there is apparently rumor that the Trump

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Speaker 1: administration has reached out to a to multiple high ranking

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Speaker 1: Indiana officials, including the governor and multiple congressmen and one

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Speaker 1: of our senators, about beginning the process of putting pressure

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Speaker 1: on the State of Indiana, the Indiana General Assembly, to

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Speaker 1: do just this, because now if Texas goes forward and

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Speaker 1: California goes forward. Every state in Union is gonna do

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Speaker 1: this or be pressured to do this, because it's all

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Speaker 1: about trying to get one or two more House Reps.

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Speaker 1: And think about why they're doing this. These people can't

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Speaker 1: consistently win elections because they govern so poorly, because they

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Speaker 1: lie about everything. Both parties screw everybody all the damn time.

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Speaker 2: So they're trying to tip the balance of power.

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Speaker 1: They're rigging the system because it's already.

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Speaker 2: A super majority here in Indiana, but not that.

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Speaker 1: But they're trying to get one or another House Rep.

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Speaker 1: They're never going to get Indianapolis because Andre Carson. Think

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Speaker 1: about and they did this the last time. Remember they

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Speaker 1: drew the district. So Victoria Sparts had the super close

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Speaker 1: race in twenty or twenty two. It was twenty should no,

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Speaker 1: twenty two in all the yes, twenty two. All these

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Speaker 1: days move together now, right, there's too much drama, too

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Speaker 1: much crap. So Victoria Sparts has this super close race.

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Speaker 1: They moved that district to make it more Republican friendly.

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Speaker 1: They pushed it. What they do. They pushed it to

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Speaker 1: the north to move more of Indianapolis out of the district.

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Speaker 1: What it further did was Cement District seven, which is

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Speaker 1: Marion County, which is Andre Carson, to make him further unbeatable.

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Speaker 1: And because they just said, we know the American County

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Speaker 1: Republican parties totally an apt and can't win this district anyway,

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Speaker 1: So will make Sparts district safer for her for a Republican.

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Speaker 1: Didn't make it any more fair, didn't make it any

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Speaker 1: more right, didn't make it any better representation of the

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Speaker 1: district or who the people are there, or the needs

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Speaker 1: or whatever. It just made it safer for her. So

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Speaker 1: what the Republicans believe here that they can do, and

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Speaker 1: I would guess they're looking at District one, which is

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Speaker 1: where Frank Mrvan is the rep which has been on

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Speaker 1: their radar, the national radar the past three or four

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Speaker 1: election cycles. They've never won it, but it's getting more

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Speaker 1: and more. It's the region, the Chicago area, Lake County.

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Speaker 1: They will somehow try to draw that district to make

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Speaker 1: it more Republican friendly so that they can win that seat.

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Speaker 2: So they add another seat in Washington.

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Speaker 1: Then now we will see, because the rumor is there's

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Speaker 1: going to be potentially a high profile visitor to this

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Speaker 1: to the Greater Central Indiana area in the near future.

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Speaker 1: Don't know if it's going to happen. That is the

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Speaker 1: scuttle butt inside the State House is that now there

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Speaker 1: is at least conversations going on with some of our

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Speaker 1: people about pressure or applying pressure or getting the ball

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Speaker 1: rolling on potentially doing this. There's been nothing publicly that

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Speaker 1: would lead anybody believe that it's going to happen. But

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Speaker 1: if it happened, why wouldn't it happen.

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Speaker 2: It happens in Texas, If they're doing it there and

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Speaker 2: then California, why won't they do it everywhere? Right?

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Speaker 1: Because and again we're talking about by the time everybody

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Speaker 1: cancels everybody out, maybe I don't know, five seats, maybe

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Speaker 1: by the time away cancels every out, and then you're

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Speaker 1: gonna create a colossal mess for the Supreme Court because

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Speaker 1: they're gonna have to sort through all of these maps.

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Speaker 1: You say this all the time, where they strike down

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Speaker 1: maps or they're ruled doun constitutional because of the voting

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Speaker 1: rights and the and the ways you have to draw

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Speaker 1: these maps. It's gross, just govern better. That's what's so

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Speaker 1: infuriating about this. These people can't consistently win elections because

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Speaker 1: they screw everybody over every time one party gets in power.

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Speaker 1: Oh well that didn't work. We'll go to these guys.

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Speaker 1: Oh it didn't work. If you would just do the job,

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Speaker 1: you could consistently win and you wouldn't have to do this,

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Speaker 1: these these these shenanigans. I just I hate I hate

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Speaker 1: Casey everything about this.

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Speaker 2: You are listening to Kennell and Casey. It is ninety

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Speaker 2: three WYBC.

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Speaker 1: Okay, so this, this next story blows my mind, Casey. Yeah,

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Speaker 1: because look, you don't mean money means nothing to me.

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Speaker 1: But losing this amount of money that I think that

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Speaker 1: would mean something.

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Speaker 2: You would be really bothered by this. I would you

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Speaker 2: bothered by this?

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Speaker 1: Okay? What is the price of a bitcoin? Now let

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Speaker 1: me look this up. By the way, while I'm looking

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Speaker 1: this up, what's the most amount of money you've ever misplaced?

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Speaker 1: Have you ever like misplaced twenty bucks or you know

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Speaker 1: I put in my pocket or you know I left

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Speaker 1: my wallet somewhere you know, I want.

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Speaker 2: To say misplaced, like I may have put it in

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Speaker 2: an alternate pocket in my purse and then came across

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Speaker 2: it later. Oh I didn't realize I put it there

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Speaker 2: instead of where I normally put my money.

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Speaker 1: Okay, So a bitcoin is currently listed, it's down eight

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Speaker 1: hundred and forty nine dollars and thirty cents today, one

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Speaker 1: hundred and fourteen two hundred and seventy four dollars and

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Speaker 1: ninety cents. That's the price of a bitcoin. Now, I've

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Speaker 1: told you, I've had it explained to me ninety different times.

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Speaker 1: I still don't get it.

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Speaker 2: Still don't understand what it is.

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Speaker 1: I don't, I don't. I just say, but whatever it is,

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Speaker 1: what it is, society's buying into it. Okay. So so

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Speaker 1: there is and this has been a story for quite

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Speaker 1: a long time that this guy from Newport, South Wales.

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Speaker 1: So that's is that England, Kevin? That is England? Now

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Speaker 1: is Newport South Wales.

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Speaker 2: I think it's Australia.

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Speaker 1: It's Newport South Wales. That's that's Australia. I can't believe

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Speaker 1: you have to look this up. You're a world traveler. Yeah,

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Speaker 1: there's new South Wales, which is a state. No, Newport

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Speaker 1: South Wales. That's how they list this guy. He allegedly,

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Speaker 1: not allegedly, I guess he's saying he did tossed away

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Speaker 1: a hard drive in twenty thirteen that supposedly had eight

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Speaker 1: thousand bitcoins on it, so don't I don't even know

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Speaker 1: how the bitcoin works. You store it somewhere right like somebody.

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Speaker 1: It's a virtual wallet of some sort and you gotta

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Speaker 1: have a code to get in to get to it.

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Speaker 1: That's part of why. Like it's not run by yes Kevin,

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Speaker 1: it's in Wales, which is in England. It is okay,

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Speaker 1: very good. See I knew more than you.

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Speaker 2: Said, New South Wales.

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Speaker 1: That's in Australia, Newport South. So this guy is English, okay,

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Speaker 1: very good. So the bitcoin is you get, you get,

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Speaker 1: you get access to it something out there's some sort

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Speaker 1: of system or something. And this guy had eight before

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Speaker 1: they were anything, right, yep they.

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Speaker 2: In twenty thirteen he had eight thousand bitcoins.

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Speaker 1: And somehow that hard drive.

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Speaker 2: God was thrown away away an office cleaning.

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Speaker 1: Now you would think if you had eight thousand of anything,

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Speaker 1: that's any sort of investment on it, even if they

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Speaker 1: were worth a dollar apiece.

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Speaker 2: And the thing you'd still keep track of that.

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Speaker 1: It's still a grand.

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Speaker 2: Yeah.

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Speaker 1: So when I got grand on that hard I don't

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Speaker 1: touch that.

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Speaker 2: That When I signed up for the Ethereum, when did

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Speaker 2: I do that? It was New Year's Eve of twenty one,

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Speaker 2: twenty one or twenty two, you remember, I put one

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Speaker 2: hundred dollars in Yes, by the way, it's eighty one

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Speaker 2: dollars and fifty nine cents right now. But when you

397
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Speaker 2: sign up for that, they tell you this is your code.

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Speaker 2: Write this down with this in a safe spot because

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Speaker 2: you'll I'll never be able to access this again without

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Speaker 2: this code.

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Speaker 1: And my understanding with the with the bitcoin stuff now,

402
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Speaker 1: I think there's companies that'll hold it for you or whatever,

403
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Speaker 1: but then that's a whole thing because they got access

404
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Speaker 1: to whatever point is. It's not like the bank, Like

405
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Speaker 1: if something happened at your bank and for some reason,

406
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Speaker 1: there is no bitcoin customer service that if you got

407
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Speaker 1: that on your person, you're just locked out. Right, Like

408
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Speaker 1: if for some reason it's not registering your password correctly

409
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Speaker 1: or whatever, you're just you donezo. Yeah, Okay, So this

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Speaker 1: guy had eight thousand bitcoins that got thrown into a landfill. Yeah,

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Speaker 1: and today they estimate that that is worth roughly nine

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Speaker 1: hundred and fifty million dollars.

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Speaker 2: Yeah, and by twenty thirty it would be worth eight

414
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Speaker 2: billion dollars. So he's been searching for his what is

415
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Speaker 2: his hard drive? For twelve years. He even attempted to

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Speaker 2: buy the landfill site where the hard drive is believed

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Speaker 2: to be buried, and he got turned out. He lost

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Speaker 2: the case against the Newport City Council.

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Speaker 1: And now, now, okay, why wouldn't you with the guy though,

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Speaker 1: if you're that city council going all right, you think

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Speaker 1: it's here, you find it. The city's in for twenty

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Speaker 1: five percent of the loot. You can search it all day,

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Speaker 1: every day, right, whatever you get, we get twenty five

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Speaker 1: percent of it, or to give you access to our

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Speaker 1: landfill or whatever. But the point is, apparently now he is,

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Speaker 1: according to multiple sources, giving up his search for this

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Speaker 1: hard drive.

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Speaker 2: Yeah, that's a really long time to keep looking for it.

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Speaker 2: Now there's some people who don't believe that it ever existed.

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Speaker 2: He's just making the sub to begin with, Why would

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Speaker 2: you make that up?

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Speaker 1: Well, attention, I mean, he's a highly sympathetic character to

433
00:23:44,800 --> 00:23:46,919
Speaker 1: some extent. Think about all the things that have been

434
00:23:46,960 --> 00:23:49,560
Speaker 1: written about him over the years.

435
00:23:50,080 --> 00:23:52,240
Speaker 2: It's going to be developed into a TV series. Well

436
00:23:52,280 --> 00:23:54,040
Speaker 2: see exactly married Bitcoin.

437
00:23:54,600 --> 00:23:57,040
Speaker 1: Now that's a weird I mean, that's a weird story

438
00:23:57,080 --> 00:23:58,840
Speaker 1: to concoct.

439
00:23:59,119 --> 00:24:02,479
Speaker 2: Even if you did find it, chances are after twelve

440
00:24:02,560 --> 00:24:06,439
Speaker 2: years it would be corroded. I mean, what do you

441
00:24:06,440 --> 00:24:09,919
Speaker 2: take that to the Apple store. It's like, you know,

442
00:24:10,640 --> 00:24:13,679
Speaker 2: can you help me recover this file? Oh, after a

443
00:24:13,760 --> 00:24:17,800
Speaker 2: decade in a landfill? I just but what a gross

444
00:24:18,440 --> 00:24:21,000
Speaker 2: what a gross job like to go to the landfill

445
00:24:21,160 --> 00:24:26,000
Speaker 2: every day and rifle through piles of garbage looking for

446
00:24:26,119 --> 00:24:27,920
Speaker 2: one hard drive?

447
00:24:28,080 --> 00:24:31,119
Speaker 1: What a lonely, miserable existence.

448
00:24:31,280 --> 00:24:33,640
Speaker 2: Like what do you do? You put in your your

449
00:24:33,680 --> 00:24:38,960
Speaker 2: earbuds and just start slopping through. But if it's really

450
00:24:39,000 --> 00:24:42,160
Speaker 2: worth that much money, would it be worth your time?

451
00:24:42,760 --> 00:24:45,360
Speaker 1: No, because you're not gonna find it after Have you ever

452
00:24:45,400 --> 00:24:47,760
Speaker 1: been to a landfill? You ever tried to sort through

453
00:24:47,800 --> 00:24:48,440
Speaker 1: a landfill?

454
00:24:48,640 --> 00:24:48,880
Speaker 2: No?

455
00:24:49,320 --> 00:24:51,880
Speaker 1: Yeah, I wouldn't want to. I bet it's not pleasant,

456
00:24:51,880 --> 00:24:54,920
Speaker 1: And I bet even nine hundred and fifty million dollars

457
00:24:54,240 --> 00:24:57,480
Speaker 1: it's it's that unpleasant anyway. So I want to update

458
00:24:57,520 --> 00:25:00,440
Speaker 1: everybody on that that that's an incredible story, and I

459
00:25:00,440 --> 00:25:02,159
Speaker 1: think we've mentioned it multiple times over the years on

460
00:25:02,200 --> 00:25:05,800
Speaker 1: this program. But he is apparently James Howell is the

461
00:25:05,800 --> 00:25:08,919
Speaker 1: guy's name. He is now calling it a day on

462
00:25:08,960 --> 00:25:10,000
Speaker 1: his Bitcoin.

463
00:25:09,680 --> 00:25:12,200
Speaker 2: Quest I'm dumb looking all right, we have a couple

464
00:25:12,240 --> 00:25:15,159
Speaker 2: of AI stories coming up. It is Kendall and Casey.

465
00:25:15,200 --> 00:25:30,760
Speaker 2: It's ninety three w IBC not shit official intelligence again,

466
00:25:31,000 --> 00:25:34,720
Speaker 2: let's talk about artificial intelligence. It's everywhere all the time.

467
00:25:34,880 --> 00:25:37,560
Speaker 1: Well, that'll be the focus of the next segment we're

468
00:25:37,560 --> 00:25:38,760
Speaker 1: about to do. So why not?

469
00:25:39,200 --> 00:25:42,800
Speaker 2: So Donald Trump he signed an order requiring AI models

470
00:25:42,880 --> 00:25:46,280
Speaker 2: used by the federal government to be truth seeking and

471
00:25:46,440 --> 00:25:48,119
Speaker 2: ideologically neutral.

472
00:25:48,560 --> 00:25:51,080
Speaker 1: Is there anything based on what we know about the

473
00:25:51,119 --> 00:25:54,840
Speaker 1: past oh fifty years of the federal government that you

474
00:25:54,840 --> 00:25:56,880
Speaker 1: would describe as what was the description that.

475
00:25:56,840 --> 00:25:59,280
Speaker 2: You just with seeking an ideologically neutral?

476
00:25:59,320 --> 00:26:01,199
Speaker 1: At any point in the past fifty years would you

477
00:26:01,240 --> 00:26:04,560
Speaker 1: have ever described the federal government as quote, truth seeking

478
00:26:04,680 --> 00:26:07,639
Speaker 1: or ideologically neutral. But yet we're supposed to believe this

479
00:26:08,000 --> 00:26:11,480
Speaker 1: so much, this uber dangerous artificial intelligence. It's gonna be.

480
00:26:11,560 --> 00:26:14,760
Speaker 2: That, Okay. So they say that they're targeting woke AI,

481
00:26:15,200 --> 00:26:18,679
Speaker 2: and the order aims to remove political agendas such as

482
00:26:18,800 --> 00:26:24,600
Speaker 2: references to you guessed it DEI from AI used in government.

483
00:26:25,000 --> 00:26:27,880
Speaker 2: But this is the part that's a little bit unclear.

484
00:26:28,600 --> 00:26:31,040
Speaker 2: How will truth and neutrality be defined?

485
00:26:31,480 --> 00:26:35,439
Speaker 1: What is truth and what is neutrality? Like Okay, So

486
00:26:35,600 --> 00:26:39,480
Speaker 1: a great example of this is we're gonna have Tom

487
00:26:39,560 --> 00:26:43,440
Speaker 1: Labianco on next segment top of the ten o'clock hour.

488
00:26:43,480 --> 00:26:47,760
Speaker 1: He's the journalist that broke these allegations of deep fake

489
00:26:47,840 --> 00:26:53,160
Speaker 1: AI porn allegedly being shared in the Lieutenant Governor's office.

490
00:26:53,320 --> 00:26:55,840
Speaker 1: And there are people out there that think by us

491
00:26:55,920 --> 00:27:01,960
Speaker 1: even covering the story, that we're being unfair, that we're horrible,

492
00:27:02,200 --> 00:27:06,600
Speaker 1: We're being horrible. Uh, you know, journal we're not journalists,

493
00:27:06,640 --> 00:27:08,639
Speaker 1: but like you know what I'm saying. I mean, like

494
00:27:08,800 --> 00:27:11,960
Speaker 1: we're commentators. We commentate on the on these cases, we

495
00:27:11,960 --> 00:27:16,000
Speaker 1: break stories here. But are we being unfair because we're

496
00:27:16,000 --> 00:27:19,400
Speaker 1: covering it? Well, that's in the eye of the beholder. Obviously,

497
00:27:19,720 --> 00:27:23,320
Speaker 1: we think it's these are serious allegations one way or another,

498
00:27:23,359 --> 00:27:26,480
Speaker 1: based on the fact that people have taken sides on this,

499
00:27:26,640 --> 00:27:27,919
Speaker 1: that it needs to be covered and we need to

500
00:27:27,920 --> 00:27:29,440
Speaker 1: get to the bottom of it and the truth needs

501
00:27:29,480 --> 00:27:33,040
Speaker 1: to be revealed. But what does that make us, Well,

502
00:27:33,040 --> 00:27:34,320
Speaker 1: that's all in the eye of the beholder. My point on

503
00:27:34,400 --> 00:27:37,080
Speaker 1: this is about any topic other than is two plus

504
00:27:37,160 --> 00:27:41,520
Speaker 1: two four. Somebody can have an opinion on something and

505
00:27:41,560 --> 00:27:46,520
Speaker 1: then what that shapes, how artificial intelligence is going to respond.

506
00:27:46,560 --> 00:27:48,720
Speaker 1: So the idea that it's going to be called down

507
00:27:48,760 --> 00:27:52,320
Speaker 1: the middle, you know, fair or foul, and everything's going

508
00:27:52,359 --> 00:27:54,520
Speaker 1: to be above board is complete crap.

509
00:27:54,680 --> 00:27:57,480
Speaker 2: Okay, So the AI companies are going to have to

510
00:27:57,520 --> 00:28:02,000
Speaker 2: prove that they're compliant with this order. But here's the kicker.

511
00:28:02,480 --> 00:28:05,760
Speaker 2: The government is going to enforce the rules used by

512
00:28:05,760 --> 00:28:08,840
Speaker 2: the government. Sure, they're going to police themselves and.

513
00:28:08,920 --> 00:28:11,119
Speaker 1: The and then it'll flip because Trump won't be in

514
00:28:11,160 --> 00:28:13,640
Speaker 1: there forever and there'll be a Democrat that'll get back

515
00:28:13,680 --> 00:28:18,119
Speaker 1: in there, and then it's going to flip and it'll

516
00:28:18,119 --> 00:28:21,399
Speaker 1: be used for all sorts of other stuff.

517
00:28:21,920 --> 00:28:25,439
Speaker 2: So the Office of Management and Budget they have one

518
00:28:25,520 --> 00:28:28,120
Speaker 2: hundred and twenty days to give guidance on how companies

519
00:28:28,119 --> 00:28:32,360
Speaker 2: should should comply with this to be neutral.

520
00:28:32,920 --> 00:28:35,080
Speaker 1: You know, It's it's funny I say about this rolling

521
00:28:35,119 --> 00:28:37,520
Speaker 1: into work, and I've said, at some point I should

522
00:28:37,520 --> 00:28:40,280
Speaker 1: probably just like film my conversations with myself as I

523
00:28:40,320 --> 00:28:42,200
Speaker 1: come into work. Oh, you should totally do that.

524
00:28:44,400 --> 00:28:47,760
Speaker 2: You would you say to yourself today, Well, what did

525
00:28:47,800 --> 00:28:49,239
Speaker 2: you tell yourself.

526
00:28:49,440 --> 00:28:50,480
Speaker 1: You can do it?

527
00:28:52,640 --> 00:28:54,400
Speaker 2: Were you motivating yourself? Well?

528
00:28:54,920 --> 00:28:57,280
Speaker 1: You know, I do pep talk, I do we have

529
00:28:57,280 --> 00:28:58,800
Speaker 1: a lot of fun about how little I prepare for

530
00:28:58,840 --> 00:29:00,640
Speaker 1: this show, but I do have a pretty good idea

531
00:29:00,680 --> 00:29:01,920
Speaker 1: of what we're going to talk about, and I think

532
00:29:01,960 --> 00:29:03,640
Speaker 1: of the higher up things that I know we're going

533
00:29:03,720 --> 00:29:06,120
Speaker 1: to get to and what my you know, takes on

534
00:29:06,200 --> 00:29:09,640
Speaker 1: these things are going to be, and you know, working

535
00:29:09,640 --> 00:29:11,480
Speaker 1: through things that I think are important for the public

536
00:29:11,520 --> 00:29:13,680
Speaker 1: to know. And you know, one of the things I

537
00:29:13,320 --> 00:29:19,400
Speaker 1: was thinking about is how I've been contacted by many

538
00:29:19,440 --> 00:29:21,760
Speaker 1: people over the past It's getting to that time of

539
00:29:21,760 --> 00:29:23,840
Speaker 1: the year where so and so is going to run

540
00:29:23,920 --> 00:29:26,720
Speaker 1: for whatever, and this person is thinking about running for

541
00:29:27,000 --> 00:29:32,200
Speaker 1: house or Senate or Congress or whatever, and this is

542
00:29:32,320 --> 00:29:34,720
Speaker 1: I've reached a point of my life now where I'm

543
00:29:35,160 --> 00:29:40,040
Speaker 1: largely just disinterested in all of it because it doesn't

544
00:29:40,160 --> 00:29:44,320
Speaker 1: ever seem to matter who we put in there. The

545
00:29:44,480 --> 00:29:50,000
Speaker 1: system just grows progressively worse. Like you've been around me

546
00:29:50,040 --> 00:29:51,280
Speaker 1: long enough to know, like I would come in here

547
00:29:51,320 --> 00:29:53,240
Speaker 1: and go, oh, guess who's thinking about running for this

548
00:29:53,360 --> 00:29:56,920
Speaker 1: or guys blah blah blah, And after the past year, yeah,

549
00:29:57,680 --> 00:29:59,440
Speaker 1: I'm at the point now where it's like, even if

550
00:29:59,440 --> 00:30:03,000
Speaker 1: I like you, it's like I have no faith you'll

551
00:30:03,040 --> 00:30:06,840
Speaker 1: follow through because every single person burns us and creates

552
00:30:06,840 --> 00:30:10,080
Speaker 1: a system that is progressively worse than the system we

553
00:30:10,120 --> 00:30:12,880
Speaker 1: had before, no matter what letter they put next to themselves,

554
00:30:13,000 --> 00:30:17,239
Speaker 1: no matter what ideology they espouse, and it's just like,

555
00:30:17,480 --> 00:30:21,160
Speaker 1: you read this stuff, well, it will be ideologically how

556
00:30:21,200 --> 00:30:24,160
Speaker 1: did they describe it neutral? Ideologically neutral? Well, what does

557
00:30:24,200 --> 00:30:25,000
Speaker 1: that even mean?

558
00:30:25,440 --> 00:30:27,560
Speaker 2: Well, and that's the thing they're gonna have to define that.

559
00:30:27,800 --> 00:30:29,800
Speaker 2: By the way, sounds to me like you've been through

560
00:30:29,880 --> 00:30:31,160
Speaker 2: betrayal trauma.

561
00:30:31,760 --> 00:30:34,960
Speaker 1: I've been through what betrayal? Oh yeah, yeah, yeah, it

562
00:30:35,000 --> 00:30:37,080
Speaker 1: was called the twenty twenty four election case.

563
00:30:37,200 --> 00:30:37,440
Speaker 2: I know.

564
00:30:38,720 --> 00:30:41,800
Speaker 1: But the point is, okay, you know who's ideologically neutral?

565
00:30:42,160 --> 00:30:42,720
Speaker 2: Us?

566
00:30:43,240 --> 00:30:46,080
Speaker 1: We hate all of these people, and we tell you

567
00:30:46,160 --> 00:30:49,120
Speaker 1: about it. We don't like any of them. Ours, the d's,

568
00:30:49,240 --> 00:30:53,320
Speaker 1: the l's, they've all got their own complex set of issues,

569
00:30:53,440 --> 00:30:55,120
Speaker 1: and we don't want anything to do with any of them.

570
00:30:55,160 --> 00:30:56,760
Speaker 1: So we call them aloud. And you know what, they

571
00:30:56,800 --> 00:30:58,760
Speaker 1: all get mad at us. All those people down the

572
00:30:58,800 --> 00:31:01,840
Speaker 1: street hate us. Why because we don't like any of them.

573
00:31:02,000 --> 00:31:06,440
Speaker 1: But I'm supposed to believe that the government with ideological bent.

574
00:31:06,600 --> 00:31:07,920
Speaker 2: Policing themselves on this.

575
00:31:07,960 --> 00:31:10,360
Speaker 1: By the way, it's gonna somehow be some.

576
00:31:10,480 --> 00:31:16,000
Speaker 2: Altruistic yeah, neutral, Okay. So the big trend on social

577
00:31:16,000 --> 00:31:20,600
Speaker 2: media right now is obviously the AI generated videos, and

578
00:31:20,960 --> 00:31:24,720
Speaker 2: many times it's taking someone who has deceased and bring

579
00:31:24,720 --> 00:31:28,440
Speaker 2: them back to life. Some examples are George Washington, but

580
00:31:28,720 --> 00:31:31,760
Speaker 2: it's going to a whole new level. At his concert

581
00:31:31,880 --> 00:31:36,840
Speaker 2: in North Carolina, Rod Stewart played an AI generated video

582
00:31:37,000 --> 00:31:39,200
Speaker 2: during his performance of Forever Young.

583
00:31:39,400 --> 00:31:43,840
Speaker 1: So Rod Stewart is on his farewell tour, right.

584
00:31:43,680 --> 00:31:46,600
Speaker 2: You're gonna is that this week? I don't know, you're

585
00:31:46,640 --> 00:31:48,640
Speaker 2: gonna go see him taking your mom?

586
00:31:48,760 --> 00:31:51,160
Speaker 1: Yeah? Maybe, I don't know. She's now like trying to

587
00:31:51,160 --> 00:31:52,760
Speaker 1: back out. Well, no, it's not me. I offered to go.

588
00:31:52,800 --> 00:31:54,240
Speaker 1: She's like I've seen him before, I don't want to

589
00:31:54,280 --> 00:31:55,800
Speaker 1: deal with the crowd, blah blah blah. So I don't know.

590
00:31:56,600 --> 00:31:59,640
Speaker 1: It's still it's it's to be determined, okay.

591
00:31:59,640 --> 00:32:03,680
Speaker 2: Well, boiler alert. When he sings Forever Young, he plays

592
00:32:03,720 --> 00:32:07,840
Speaker 2: an AI generated video and this was a tribute to

593
00:32:07,880 --> 00:32:11,320
Speaker 2: Ozzy Osbourne, who just recently passed away. It's a deep

594
00:32:11,360 --> 00:32:15,720
Speaker 2: fake showing Ozzy Osbourne holding a selfie stick. Oh and

595
00:32:16,040 --> 00:32:21,160
Speaker 2: he's with other deceased music legends for example, Bob Marley,

596
00:32:21,280 --> 00:32:24,960
Speaker 2: Kurt Kobe, Tupac Shakur, and Michael Jackson.

597
00:32:25,640 --> 00:32:29,960
Speaker 1: I'm reading the set list here. Oh there's Downtown Train.

598
00:32:30,440 --> 00:32:33,000
Speaker 1: He's playing Downtown Train on this tour. See that does

599
00:32:33,080 --> 00:32:34,760
Speaker 1: kind of ruin it, doesn't it? Where you can now

600
00:32:34,760 --> 00:32:37,680
Speaker 1: get online and you can basically the set list I

601
00:32:37,720 --> 00:32:39,680
Speaker 1: think is largely the same with Rod Stewart. I don't

602
00:32:39,680 --> 00:32:42,120
Speaker 1: think there's some great shake up or he's pulling signs

603
00:32:42,120 --> 00:32:45,560
Speaker 1: out of the stands making new music. I don't see

604
00:32:45,560 --> 00:32:47,680
Speaker 1: anything new on here. I mean the same farewell tour.

605
00:32:48,680 --> 00:32:52,480
Speaker 1: Uh okay, Yeah, Downtown Train is on this list, which

606
00:32:52,520 --> 00:32:54,760
Speaker 1: is an old Tom Waite song, which is my favorite

607
00:32:54,840 --> 00:32:59,520
Speaker 1: Rod Stewart song. Ooh hm, that stings Go ahead. What

608
00:32:59,520 --> 00:33:00,000
Speaker 1: were you saying?

609
00:33:00,360 --> 00:33:03,200
Speaker 2: I'm just saying that Rod Stewart is using AI to

610
00:33:03,320 --> 00:33:06,920
Speaker 2: create some deep fakes of people who are dead.

611
00:33:07,040 --> 00:33:07,960
Speaker 1: But it's not pornography.

612
00:33:08,240 --> 00:33:08,280
Speaker 3: No.

613
00:33:09,520 --> 00:33:11,160
Speaker 2: I believe they all have their clothes.

614
00:33:10,840 --> 00:33:12,960
Speaker 1: And they like do you have to have permission to

615
00:33:12,960 --> 00:33:14,040
Speaker 1: make a deep fake of someone?

616
00:33:14,080 --> 00:33:14,200
Speaker 2: Now?

617
00:33:14,240 --> 00:33:16,200
Speaker 1: Even if it's a if it's a lift you up.

618
00:33:16,400 --> 00:33:21,360
Speaker 2: Even if it's all if everyone's completely clothed.

619
00:33:21,040 --> 00:33:23,640
Speaker 1: I'm not seeing handbags and glad rags on here though.

620
00:33:23,920 --> 00:33:25,000
Speaker 1: That's kind of disappointing.

621
00:33:25,120 --> 00:33:27,200
Speaker 2: Do you see Indiana was ranked as the number one

622
00:33:27,240 --> 00:33:28,960
Speaker 2: best road quality in the US.

623
00:33:29,280 --> 00:33:31,440
Speaker 1: It's is right here on the setlist for every Young

624
00:33:31,440 --> 00:33:35,440
Speaker 1: dedicated to Ozzy Osbourne with the Riverdance Irish Jug interlude.

625
00:33:35,440 --> 00:33:38,680
Speaker 2: Oh there you go, Irish Jug interlude. Your mom would

626
00:33:38,720 --> 00:33:40,640
Speaker 2: love that. You totally need to come up.

627
00:33:40,720 --> 00:33:42,440
Speaker 1: I love that. My mom was just like she loves

628
00:33:42,520 --> 00:33:44,440
Speaker 1: rod seies. She's like, yeah, I've seen it before. It's

629
00:33:44,480 --> 00:33:48,160
Speaker 1: too many people, see. But see I got the perfect

630
00:33:48,200 --> 00:33:50,080
Speaker 1: thing out of this. I tried to do something nice.

631
00:33:50,280 --> 00:33:53,120
Speaker 1: I've checked the box. I offered to do the thing.

632
00:33:53,320 --> 00:33:55,280
Speaker 1: Do I have to then actually do something nice for

633
00:33:55,360 --> 00:33:57,680
Speaker 1: my mother if she declines the offer to do something

634
00:33:57,760 --> 00:33:58,240
Speaker 1: nice for her.

635
00:33:58,240 --> 00:34:00,160
Speaker 2: Yeah, you should have to find a new nice for

636
00:34:00,160 --> 00:34:02,000
Speaker 2: your dad. You should get a nice for your mom.

637
00:34:02,120 --> 00:34:03,320
Speaker 1: I have to find a new thing.

638
00:34:03,560 --> 00:34:06,400
Speaker 2: So, yeah, you're saying, what it's her choice to back

639
00:34:06,440 --> 00:34:07,000
Speaker 2: out of the deal.

640
00:34:07,040 --> 00:34:08,719
Speaker 1: That's what I'm saying, offer to do the thing. It's

641
00:34:08,760 --> 00:34:11,279
Speaker 1: the offer that counts. It's like a Seinfeld episode. Isn't

642
00:34:11,320 --> 00:34:14,799
Speaker 1: the is the isn't the offer? The thing that is

643
00:34:14,840 --> 00:34:17,319
Speaker 1: the actual act of kindness is the offer to do

644
00:34:17,440 --> 00:34:19,680
Speaker 1: kindness and if someone doesn't take you up on kindness,

645
00:34:19,760 --> 00:34:20,960
Speaker 1: then you're not obligated.

646
00:34:21,040 --> 00:34:23,200
Speaker 2: Well, if you don't go, you can't see the AI

647
00:34:23,320 --> 00:34:28,319
Speaker 2: deep fake video, so you should totally go.

648
00:34:28,640 --> 00:34:31,840
Speaker 1: Oh man, it's playing down fiftory anyway. Hey, Tomlabianc is

649
00:34:31,840 --> 00:34:33,360
Speaker 1: going to join us next he as a massive up

650
00:34:33,480 --> 00:34:37,920
Speaker 1: updates plural on this these allegations of AI pornography being

651
00:34:37,920 --> 00:34:39,240
Speaker 1: shared in Lieutenant Governor's office.

652
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Speaker 2: It's Kennily Casey on ninety three WIBC