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Speaker 1: I get off. How dare we speak Merry Christmas? How

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Speaker 1: dare we.

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Speaker 2: Let me begin by wishing each and every one of

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Speaker 2: you are very merry Christmas, Happy New Year, all of

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Speaker 2: that stuff.

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Speaker 3: The Trump administration buys a fleet of deportation jets. I'll

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Speaker 3: give you the number of ICE arrests so far in

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Speaker 3: the Twin Cities coming up in just a moment, as we.

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Speaker 1: Embark on our Tuesday adventure.

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Speaker 3: Thursday Adventure, No idea why Tuesday landed in my head?

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Speaker 3: Twin Cities News Talk Am eleven thirty one oh three

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Speaker 3: five FM from the sixty five to one Carpet plus

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Speaker 3: Next Day Install Studios. Governor Tim Walls big mad at Trump,

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Speaker 3: saying that Trump just wants a show with all these

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Speaker 3: arrests that are being made regarding illegal immigration, which is

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Speaker 3: really quite comical. I posted this on X before I

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Speaker 3: started the show this morning. Walls is saying that Trump

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Speaker 3: just wants a show. Considering that Walls is a walking

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Speaker 3: blank show. I think it's apropos. It's really oh, I

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Speaker 3: don't even know what the word is. I'll say just stupid.

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Speaker 3: The Democrats are very very good. We've talked about this before,

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Speaker 3: and we did last week as well.

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Speaker 1: But the Democrats are.

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Speaker 3: Really really good at suddenly acting as if this thing

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Speaker 3: that's happening it's the first time that it's happened, like

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Speaker 3: this is unprecedented, something that is relatively normal and benign

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Speaker 3: in the grand scheme of things, in this case, arresting

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Speaker 3: of US citizens.

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Speaker 1: That happens all the time.

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Speaker 3: US citizens get arrested every single day, those that go

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Speaker 3: and break the law.

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Speaker 1: But the way you have.

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Speaker 3: Governor Tim Walls, our Democrat elected officials, the idiots that

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Speaker 3: are running the city of Minneapolis, suddenly now a citizen

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Speaker 3: was arrested. Well, yeah, they were obstructing law enforcement. We

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Speaker 3: have another one this morning. Yesterday we focused on the

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Speaker 3: white liberal activists Siue Tinsure and her bravery. Today we

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Speaker 3: have another individual who was arrested. Now had a press conference,

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Speaker 3: had the police chief, Brian O'Hara, the Minneapolis Man Baby

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Speaker 3: mayor Mom Jeans, Jacob Frye all out talking about how

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Speaker 3: concerned they are. You got the DFL and Governor Tim

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Speaker 3: Walls posting their petty little comments online there were arresting citizens.

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Speaker 1: Yeah, that happens. It happens every damn day, But.

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Speaker 3: They act like this is some unprecedented thing. No FAFO,

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Speaker 3: It's quite that simple. We'll talk about that in detail

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Speaker 3: coming up in the eight o'clock hour. We got a

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Speaker 3: lot of ground to cover today, So Representative Elliott Engen

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Speaker 3: will be joining the in studio coming up at seven

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Speaker 3: thirty this morning. Apparently he has brand new fraud to

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Speaker 3: share with us on the show, something we haven't heard

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Speaker 3: about as of yet, so I'm looking forward to that again.

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Speaker 1: That'll happen at seven thirty.

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Speaker 3: How are the investigations on the federal level into Minnesota's fraud?

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Speaker 1: How are those progressing?

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Speaker 3: You had Doctor Oz, doctor mement Oz, the CMS administrator,

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Speaker 3: last week saying that his office has never seen the

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Speaker 3: people working in his office that have been there longer

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Speaker 3: than he has have never seen anything like what we're

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Speaker 3: currently dealing with here in Minnesota. And they're providing weekly updates. Well,

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Speaker 3: doctor Oz is going to be joining us at seven

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Speaker 3: o'clock this morning to share with us the latest as

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Speaker 3: it relates to those updates. What kind of help coordination

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Speaker 3: have they been receiving compliance with Governor Tim Walls his

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Speaker 3: administration government officials here in Minnesota. We'll find out at

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Speaker 3: seven o'clock this morning, here on Twin City's News Talk

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Speaker 3: and David garten Stein Ross, you're AI analyst and expert.

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Speaker 1: He'll be joining us coming up at six point thirty

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Speaker 1: this morning.

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Speaker 3: Secretary of War Pete Hegseth has picked its AI platform

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Speaker 3: as a fighting force. Will let you know which platform

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Speaker 3: they're going with, concerns in Medicare's new AI experiment regarding

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Speaker 3: authorization for medical procedures, and also why almost half of

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Speaker 3: gen Z wants the AI to run the government in

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Speaker 3: how that is absolutely terrifying. So those are a few

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Speaker 3: items that we'll talk about with David garten Stein Ross,

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Speaker 3: and of course he'll answer any AI related questions that

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Speaker 3: you have via the iHeartRadio.

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Speaker 1: App this morning.

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Speaker 3: If you're listening on the iHeartRadio app, be sure to

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Speaker 3: leave us a talkback. We'll get to those coming up

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Speaker 3: in just a few minutes here on Twin City's News Talk.

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Speaker 1: Those are brought to you by Lyndahl Realty.

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Speaker 3: Also give you details a little bit more details regarding

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Speaker 3: the Department of Homeland Security signing a contract of nearly

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Speaker 3: one hundred and forty million dollars to purchase six Bowing

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Speaker 3: seven thirty seven planes for deportations and that number of

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Speaker 3: individuals that have already been arrested here in the Twin

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Speaker 3: Cities since December first. So i'll give you the details

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Speaker 3: of that as we navigate all of their relevant stories

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Speaker 3: relating to Minnesota and how we continue to dominate the

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Speaker 3: national media headlines, although a lot of the liberal networks

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Speaker 3: are completely ignoring everything that's going on, and that's not

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Speaker 3: of any surprise. Be that as it may, we continue

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Speaker 3: to be the number one story as it relates to

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Speaker 3: fraud here in Minnesota. And it really is interesting to

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Speaker 3: see just how people are so shocked.

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Speaker 1: And they should be.

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Speaker 3: We just become so used to it, so I find

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Speaker 3: that highly entertaining. I also find you highly entertaining. So

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Speaker 3: we'll get to those comments coming up from the iHeartRadio app.

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Speaker 3: Your emails Justice at iHeartRadio dot com. Glad you're with

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Speaker 3: the show this morning. Don't go anywhere. You're listening to

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Speaker 3: Twin Cities News Talk Am eleven thirty and one oh

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Speaker 3: three five FM.

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Speaker 2: The what's called the Trump derangement problem? Have you heard

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Speaker 2: about that problem?

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Speaker 4: I saw a social post yesterday of a woman in

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Speaker 4: Ohio making the claim that what's happening in Minnesota is

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Speaker 4: happening there, almost identically, involving the same community members. There's

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Speaker 4: zero coverage of this going on in the legacy media.

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Speaker 4: There are no coincidences when it comes to corruption in government.

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Speaker 3: Well, I sat down for that podcast conversation with Sarah

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Speaker 3: Westall earlier this week, and she was talking about other

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Speaker 3: states or they're dealing with similar issues Colorado to be specifically,

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Speaker 3: wherein you had individuals Venezuelans there taking over apartment complexes,

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Speaker 3: wreaking havoc and similar arguments in that community in Colorado.

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Speaker 3: We're hearing here regarding the Somali community, and we'll be

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Speaker 3: dealing with this and talking about it in much more

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Speaker 3: detail a little bit later on in the show. It

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Speaker 3: is Twin Cities News Talk from the sixty five to

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Speaker 3: one Carpet plus Next Day Install Studios David Gartenstein Ross

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Speaker 3: coming up in a few minutes. We'll talk a little ai.

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Speaker 3: The Department of Homeland Security is going to shift from

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Speaker 3: relying solely on charter services to operating its own aircraft.

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Speaker 3: After Congress approved a major funding increase for Trump's border

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Speaker 3: and immigration agenda. They authorized one hundred and seventy billion

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Speaker 3: for immigration and border operations over the next four years

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Speaker 3: as part of the GOP tax bill, and the plane

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Speaker 3: funding is coming from that package. Two sources familiar with

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Speaker 3: the contract and records were reviewed by The Washington Post

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Speaker 3: said that ICE may have broader plans for the aircraft

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Speaker 3: borders are Tom Holmes said the administration has made an

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Speaker 3: overall nationwide about five hundred and seventy nine thousand removals.

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Speaker 3: DHS data shows that nearly sixty six immigrants are currently

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Speaker 3: in federal detention now. Locally, since December one, ICE has

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Speaker 3: arrested more than four hundred people here in the Twin Cities.

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Speaker 3: And again, these are individuals that were here illegally already,

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Speaker 3: but also committed other crimes domestic abuse, assaults, sex offenders

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Speaker 3: of minors, no less, these are the individuals, these four hundred,

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Speaker 3: These are the individuals and the charges that they have

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Speaker 3: that I mentioned that these performative activist theater actors are

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Speaker 3: out there defending that our leadership ignores while they try

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Speaker 3: to frame this whole issue as citizens are being arrested,

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Speaker 3: citizens are being detained. Yeah, it's not as I mean,

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Speaker 3: it's a thing, but it's not a thing if you're

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Speaker 3: legally here, if you break the law and then you

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Speaker 3: get arrested.

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Speaker 1: You're a citizen that got arrested. I'm sorry, I'm being

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Speaker 1: really sarcastic.

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Speaker 5: It just.

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Speaker 3: People act so willfully ignorant over these situations.

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Speaker 1: The people that post online, they get all up in

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Speaker 1: arms in this.

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Speaker 3: They're not they're not using any level of just not

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Speaker 3: even critical thinking, just thinking. The story that we have

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Speaker 3: that will cover starting at eight o'clock today. I would

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Speaker 3: get to it earlier, but like I said, we have

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Speaker 3: a lot of guests coming up and things already planned,

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Speaker 3: so we'll have plenty of time to talk about this

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Speaker 3: coming up at eight o'clock. But Somali man says he's

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Speaker 3: an American citizen and speaks out after ICE detainment. The

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Speaker 3: Minneapolis Police Chief Brian O'Hara expresses his frustration with ICE agents,

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Speaker 3: who says, he who said they detained a US citizen.

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Speaker 1: And what's hysterical about.

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Speaker 3: This is that they interchange American and Somali throughout the

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Speaker 3: core of talking about this in whichever way is most

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Speaker 3: beneficial to go and perpetuate their narratives. So in some circumstances, oh,

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Speaker 3: he's an American citizen being detained, and other circumstances when

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Speaker 3: it's more beneficial for Democrats to go and focus on

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Speaker 3: him being Somali. They say, the way, he's a Somali

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Speaker 3: man taken into custody, but he's here legally, and people they.

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Speaker 1: Just they just they lap it up.

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Speaker 3: They don't bother giving a shred of critical thinking, going well, well, yeah,

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Speaker 3: I mean he got in the way of law enforcement.

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Speaker 1: You can see the video.

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Speaker 3: There's video of this individual getting in the way of

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Speaker 3: law enforcement. It's like that any yesterday's U Tensure. Well,

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Speaker 3: you know, I was just standing there and suddenly they

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Speaker 3: tackled and arrested me.

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Speaker 1: No, they told you to get back. You didn't.

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Speaker 3: You weren't listening to what law enforcement had to say.

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Speaker 3: They don't know what kind of danger you're going to pose.

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Speaker 3: They haven't padded you down. They don't know if you

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Speaker 3: have if you have any weapons on you, or what

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Speaker 3: you're capable of for crying out loud, you've out in

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Speaker 3: the dead of night to act like some citizen superhero.

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Speaker 3: The Ice agents know who they're arresting. The individual was

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Speaker 3: a criminal. I'll have the story later on this morning

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Speaker 3: from Fox News. They lay out the details of the

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Speaker 3: background of the individual that was being arrested that this

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Speaker 3: woman was there to go and defend.

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Speaker 1: So they know.

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Speaker 3: The background of the individual being arrested, and so you

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Speaker 3: have people that are there defending that individual. Well what

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Speaker 3: are the people they're defending that individual capable of.

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Speaker 1: So yeah, if you get in their way, they're going

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Speaker 1: to detain you. And that's what happened with this dude,

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Speaker 1: this move.

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Speaker 3: Bashir says, he showed identification multiple times.

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Speaker 1: Great, thanks for letting law enforcement know who you were.

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Speaker 3: It doesn't change the fact that if you watch the

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Speaker 3: video you can clearly see he was not cooperating. Why

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Speaker 3: because he wanted to get arrested. He wanted to get

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Speaker 3: detained so he can do exactly what they're doing now,

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Speaker 3: so he can be used upon in the liberal scheme

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Speaker 3: to create this narrative to perpetuate the idea of what

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Speaker 3: Governor Tim Walls has said, this is the Gestapo. It's

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Speaker 3: I think it's all just performative theater. I'm gonna hold

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Speaker 3: off on Tom Homan. The comment that I have from

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Speaker 3: him talking on Fox News is him looking into investigating

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Speaker 3: Ilhan Omar. So I'm gonna stick a pin in that

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Speaker 3: and we'll get back to it a little bit later

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Speaker 3: on David Gartenstein Ross is gonna be joining us here

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Speaker 3: in just a moment on Twin Cities News Talk. If

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Speaker 3: you have any AI related questions as we deviate just

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Speaker 3: a bit, you can get those in on the iHeartRadio app.

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Speaker 3: The Department of War has selected Google's Gemini to serve

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Speaker 3: as the Department's first enterprise AI deployed across its international platform.

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Speaker 3: And how worried should we be that almost half of

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Speaker 3: gen z wants AI to run the government. Although right now,

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Speaker 3: between artificial intelligence and Governor Tim Wall's running Minnesota, I'm

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Speaker 3: probably gonna default to artificial intelligence because it is.

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Speaker 1: Clearly smarter than Governor Tim Walls is good morning, and

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Speaker 1: I love your show.

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Speaker 4: In an oddball away, the Minnesota government is being run

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Speaker 4: by artificial intelligence because it certainly is a normal intelligence.

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Speaker 1: That's a good one.

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Speaker 3: I'll put that in the running for talk Back of

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Speaker 3: the Day, brought to you by Minni Leaf, Twin City's

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Speaker 3: News Talk Am eleven thirty one oh three five FM

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Speaker 3: from the six five to one Carpet Next Day install Studios.

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Speaker 3: My name is John just is very pleased to welcome

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Speaker 3: back to the show. My AI analyst and expert CEO

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Speaker 3: AT Expert Theerry David Gartenstein Ross, Good morning, my friend.

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Speaker 1: How are we doing this morning?

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Speaker 5: Good morning, John, doing great and it's always great to

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Speaker 5: join you.

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Speaker 1: We have this We're going to talk about it later

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Speaker 1: on in the show. We've been discussing it a lot.

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Speaker 3: It's going to be a big issue next year, this

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Speaker 3: new paid family medical leave program, and I won't get

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Speaker 3: into the details of it now it relates to AI.

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Speaker 3: I wanted to ask you something as we start off

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Speaker 3: our conversation, but with pay family medical leave, it's basically

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Speaker 3: going to impact every single taxpayer here and working taxpayer

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Speaker 3: here in Minnesota, from you know, the employer down to

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Speaker 3: the employee, even people that aren't working. It's interesting to

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Speaker 3: me because we talk about AI, and whenever I prep

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Speaker 3: for our conversation, I'm reminded that AI really is also

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Speaker 3: touching every single facet of our of our lives, and

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Speaker 3: I still don't think a lot of people have really.

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Speaker 1: Caught up to that fact yet.

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Speaker 3: The question I wanted to ask you is we dive

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Speaker 3: into a couple of these stories though, is do you

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Speaker 3: think it'll largely go unnoticed for people like other technological advancements,

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Speaker 3: or do you think that people will begin to realize

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Speaker 3: at some point just how much AI is impacting all

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Speaker 3: different facets of our society.

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Speaker 1: I'm just curious if you feel like it's going to be.

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Speaker 3: Absorbed with the current technology, or if you think it

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Speaker 3: will be like to the forefront of the conversation moving forward.

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Speaker 5: That's a wonderful question. I think there will be a

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Speaker 5: shift in how people view it. That it starts with

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Speaker 5: skepticism over whether AI will fundamentally touch all aspects of

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Speaker 5: our lives, and you and I have talked through some

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Speaker 5: of those skeptical reactions, and then suddenly there's a shift

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Speaker 5: and everybody will say, oh, yeah, of course, it is

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Speaker 5: as though this was to be expected all along. That's

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Speaker 5: typically how I see people process things that are this

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Speaker 5: fundamentally transformative.

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Speaker 3: I'm really curious one of the things that I'm most

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Speaker 3: interested in seeing. And this is just more of a

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Speaker 3: statement than it is a question, But feel free to respond,

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Speaker 3: you know, I'm really curious to see what people's reaction

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Speaker 3: will be to those areas where it's clear that AI

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Speaker 3: has made an impact. And I'll speak to pop culture

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Speaker 3: for just a moment. That's what's kind of on my mind.

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Speaker 3: And I continue to watch these new videos that are

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Speaker 3: that are made on an almost weekly basis, and every

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Speaker 3: single week it seems like there's some new advancement being

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Speaker 3: made wherein what we're watching is a little bit longer,

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Speaker 3: it's a little bit more detailed, it's more intricate, it's

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Speaker 3: harder to tell whether or not it's real or not.

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Speaker 3: And it really is getting to this, to this point

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Speaker 3: where I'm very interested to see whether or not people

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Speaker 3: end up rejecting, you know, AI in our in our

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Speaker 3: entertainment space, or whether or not they end up embracing it.

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Speaker 3: And I guess that plays into a lot of what

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Speaker 3: we talk about already, But that's what I'm most interested in,

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Speaker 3: sort of the the unanswerable questions right now that only

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Speaker 3: time will give us the answer to.

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Speaker 5: De v Yeah, I agree with that, and I think

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Speaker 5: there's there's a lot of unknownes. I mean, we can

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Speaker 5: we have analogies, right An analogy would be computer generated

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Speaker 5: imagery CGI. You are old enough to remember what Terminator

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Speaker 5: Too came out, yep, and you know that movie was

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Speaker 5: mind blowing to people at the time.

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Speaker 1: Right People talk about.

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Speaker 5: How the evil Terminator melted through a windshield and you

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Speaker 5: couldn't even tell where the special effects were because it

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Speaker 5: was CGI. And after that, throughout the nineteen nineties there's

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Speaker 5: discussion of you know, where CGI was particularly good. CGI

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Speaker 5: was something we noticed today. You know, we watch a

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Speaker 5: movie and we have no idea if the beautiful landscape

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Speaker 5: we're looking at is something that was actually filmed or

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Speaker 5: if it's something that was simply entirely a creation of

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Speaker 5: a computer. Now, the big difference with the AI video,

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Speaker 5: as you're talking about is, for the first time, humans

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Speaker 5: are basically entirely taken out of the loop of the

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Speaker 5: creative process, except in small.

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Speaker 1: Ways, and that's huge.

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Speaker 5: Now, last week, what of your listeners her husband and

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Speaker 5: I actually moved my email her at some point, but

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Speaker 5: her husband is an artist for comics cartoons, and I

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Speaker 5: was worried about, like, what the impact is there. You know,

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Speaker 5: for humans, we have to really shift our conception of

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Speaker 5: what our role is in the economic process and the

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Speaker 5: process of creation. And I don't say this is though,

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Speaker 5: that's you know, a good thing that you know, we

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Speaker 5: should embrace our new AI overlords. It's simply, you know,

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Speaker 5: the way things inevitably are at this point. Sure, AI

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Speaker 5: has gotten out of the box and moved forward so

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Speaker 5: quickly that I just don't see anybody being able to

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Speaker 5: slow it down.

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Speaker 3: Well, speaking of the terminator to vide gartan Stein Ross,

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Speaker 3: that kind of leads into the first story I want

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Speaker 3: to talk about with you. The Department of War has

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Speaker 3: selected Google's Gemini to serve as the Department's first enterprise

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Speaker 3: AI deployment across its internal platform. Gemini for Government is

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Speaker 3: the embodiment of American AI excellence, according to the Department

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Speaker 3: of War and their public statement, placing unmatched analytical and

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Speaker 3: creative power directly into the hands of the world's most

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Speaker 3: dominating a fighting force. So tongue firmly plannet in chic

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Speaker 3: or maybe not divide. Is this the first step towards

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Speaker 3: Skynet becoming self aware, taking over our military systems like

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Speaker 3: Whopper in wargames, and wiping out humanity to make way

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Speaker 3: for our AI robot overlords.

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Speaker 5: I feel like the first step was taken long ago,

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Speaker 5: so no, it's not the first step. Just to be

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Speaker 5: clear about this, what Cheveni is going to be used

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Speaker 5: for is unclassified work, not for classified work, so it's

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Speaker 5: not going to be at least here a part of

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Speaker 5: the kil chain or directly involved in combat operations.

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Speaker 1: Instead.

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Speaker 5: The kind of tasks that it will tackle include summarizing

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Speaker 5: policy handbooks, compliance checklists, the kind of asked that AI

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Speaker 5: is very good at. This is something which will make

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Speaker 5: the Department of War more efficient, which is overall a

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Speaker 5: good thing. Concerns obviously about AI becoming self aware, becoming

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Speaker 5: humanities overlord and killing us all.

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Speaker 1: Also, do you remain.

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Speaker 3: Let's go here Medicare's new AI experiment. I have this

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Speaker 3: piece out of the Minnesota Reformer, sparking alarm among doctors

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Speaker 3: and lawmakers. In January, the Federal Centers from Medicine and

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Speaker 3: Medicaid Services, and as a matter of fact, the CMS administrator,

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Speaker 3: doctor memment Oz, is going to be joining me at

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Speaker 3: seven o'clock this morning to talk about the investigations into

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Speaker 3: fraud here in Minnesota. But in January, CMS said they're

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Speaker 3: going to be launching the Wasteful and Inappropriate Services Reduction

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Speaker 3: Model to test AI powered prior authorizations to certain health

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Speaker 3: services for Medicare patients in six states. The administration rolled

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Speaker 3: out this new WISER program, as the acronym goes, that

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Speaker 3: will require prior authorizations only for certain services and prescriptions

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Speaker 3: for the centers of Medicare and Medicaid services that they

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Speaker 3: have identified as particularly vulnerable to fraud.

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Speaker 1: Waste, abuse, and inappropriate use.

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Speaker 3: This seems to be something along the lines of what

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Speaker 3: we've talked about quite a bit before, of this embracing

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Speaker 3: of the AI technology, but also the need to have

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Speaker 3: the human element still involved in the decision making process.

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Speaker 3: Needless to say, there are some concerns among doctors and

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Speaker 3: lawmakers over whether or not AI can be trusted to

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Speaker 3: determine whether or not these different medical services are needed

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Speaker 3: or not.

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Speaker 1: What are your.

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Speaker 3: Thoughts based off of what you've seen in AI relating

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Speaker 3: to this particular program or just in general assisting with

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Speaker 3: doctors in providing older individual services like this.

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Speaker 5: I was speaking the other day with the higher up

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Speaker 5: in a nonprofit that does work on try to combat

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Speaker 5: political polarization. Will assemble focus groups in different states to

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Speaker 5: talk about a variety of hot button issues, and what

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Speaker 5: she was telling me is that one of the issues

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Speaker 5: that one of the issues where you cannot tell people's

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Speaker 5: political perspective is health insurance because of how personal it is,

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Speaker 5: right Like, you can't tell if someone is you know,

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Speaker 5: is you know, uh ultra maga or woke or you know,

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Speaker 5: middle of the road or whatnot. Because everybody has their

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Speaker 5: own experiences with health insurance. This combines a couple of

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Speaker 5: things that people don't like. It combines prior authorization with

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Speaker 5: a decision maker who won't necessarily be responsive, and so

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Speaker 5: it'll be interesting to see how it plays out. One

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Speaker 5: can think of all of the problems, but generally speaking,

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Speaker 5: we do know people will be upset at then fairly

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Speaker 5: or not, and so it'll be interesting to see how

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Speaker 5: it goes. But to me, the point that people's views

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Speaker 5: of healthcare health insurance don't track with their political views

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Speaker 5: is an interesting one that I think we'll see it

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Speaker 5: play here.

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Speaker 3: One aspect of this, I'm curious about AI sort of

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Speaker 3: assisting in and I'll use a personal, you know, experience

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Speaker 3: that I just went through. So this was a I

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Speaker 3: don't know, a month and a half ago, maybe two

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Speaker 3: months ago now, I had tripped going up the stairs

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Speaker 3: into my kitchen and I was holding a bowl at

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Speaker 3: the time.

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Speaker 1: I was wearing some slippers.

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Speaker 3: They just slipped and I ended up nailing my right

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Speaker 3: knee right at the top edge of the stair and

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Speaker 3: I had this pteller bursts. I had this massive, massive,

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Speaker 3: you know, swelling in my knee.

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Speaker 1: Was awful.

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Speaker 3: It was absolutely awful. I ended up over at the

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Speaker 3: orthopedics er and so they tried to drain it.

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Speaker 1: They couldn't drain it.

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Speaker 3: And the doctor said, well, you've got two different, you know,

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Speaker 3: choices here. You can you know, we can do surgery.

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Speaker 3: It's relatively minor. We got to put you out and

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Speaker 3: we can do that soon. We'll go in, we'll take

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Speaker 3: all the gunk out and we'll see you up and

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Speaker 3: you'll be on your way, you know, or you can

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Speaker 3: wait and see, you know, you can wait and see

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Speaker 3: if it goes down. And I asked the doctor, I'm like, well,

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Speaker 3: you know, what do you what do you think is

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Speaker 3: going to happen? What do you recommend? He's like, I

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Speaker 3: don't think it's going to the swelling's going to go down.

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Speaker 3: I think it's going to stay in there. I would

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Speaker 3: recommend doing surgery.

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Speaker 1: I have to wait. And as I said, here right

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Speaker 1: now and talk to you, it's gone.

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Speaker 3: It's not it's not there anymore.

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Speaker 1: I am so happy to hear that. That's a get

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Speaker 1: end to the story.

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Speaker 3: Well, yeah, and It was interesting because you know, I'm like,

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Speaker 3: that would have cost me a lot of money, would

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Speaker 3: have done more harm to my body, you know, And

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Speaker 3: it was based off a guesswork. And I was reading

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Speaker 3: the story about you know, AI looking into authorizations and

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Speaker 3: certain medical procedures and things of that nature, and I'm wondering,

440
00:24:43,840 --> 00:24:45,520
Speaker 3: you know, at what point will AI be able to

441
00:24:45,600 --> 00:24:49,399
Speaker 3: interject and maybe provide me a better answer than what

442
00:24:49,480 --> 00:24:51,800
Speaker 3: the doctor was able to do able to do again,

443
00:24:51,960 --> 00:24:53,520
Speaker 3: or more of a more of a general just.

444
00:24:53,440 --> 00:24:55,080
Speaker 1: You know statement than it is a question. But you know,

445
00:24:55,160 --> 00:24:56,280
Speaker 1: if you want to comment on it.

446
00:24:56,720 --> 00:25:00,760
Speaker 5: Yeah, even before the current revolution, at AI has long

447
00:25:00,840 --> 00:25:05,199
Speaker 5: been better at making diagnoses than doctors. Like this has

448
00:25:05,240 --> 00:25:11,960
Speaker 5: been true for decades that because it's basic pattern recognition

449
00:25:12,640 --> 00:25:16,919
Speaker 5: and humans get fatigued as a day goes on. You know,

450
00:25:17,119 --> 00:25:19,399
Speaker 5: It's not like a straight there's no straight answer that

451
00:25:19,440 --> 00:25:23,240
Speaker 5: we want AI making diagnoses rather than doctors or the like,

452
00:25:23,920 --> 00:25:29,240
Speaker 5: but it certainly is a part of doctors' processes. And

453
00:25:30,160 --> 00:25:32,760
Speaker 5: that's I would say, on the whole a good thing

454
00:25:33,400 --> 00:25:41,000
Speaker 5: because AI is comparatively skilled at doing this exact kind

455
00:25:41,040 --> 00:25:44,560
Speaker 5: of work. So yeah, there, if you kind of look

456
00:25:44,560 --> 00:25:46,399
Speaker 5: at the sub total of what we've talked about today.

457
00:25:46,520 --> 00:25:48,360
Speaker 5: Things are a little bit all over the map. Right,

458
00:25:48,800 --> 00:25:52,120
Speaker 5: AI is scary, AI is competent. Parts of what AI

459
00:25:52,280 --> 00:25:55,560
Speaker 5: do will be politically unpopular. Maybe that's not a bad thing.

460
00:25:55,840 --> 00:25:58,000
Speaker 5: There's areas where the AI are going to is going

461
00:25:58,040 --> 00:26:02,679
Speaker 5: to touch where decisions are so personal that how we

462
00:26:02,720 --> 00:26:05,800
Speaker 5: feel about what AI is doing, like in the healthcare space,

463
00:26:06,200 --> 00:26:10,280
Speaker 5: won't necessarily track with our politics. And at some point,

464
00:26:10,640 --> 00:26:12,040
Speaker 5: you know, we're just going to take as a given

465
00:26:12,119 --> 00:26:14,760
Speaker 5: that AI is doing all this stuff that today is

466
00:26:14,840 --> 00:26:17,000
Speaker 5: kind of fantastical, that it's starting to touch.

467
00:26:17,520 --> 00:26:19,080
Speaker 1: That's how you put it together.

468
00:26:19,119 --> 00:26:21,720
Speaker 5: There some total of what we've talked about, and in

469
00:26:21,760 --> 00:26:23,320
Speaker 5: part if you look at what we've talked about, some

470
00:26:23,400 --> 00:26:26,119
Speaker 5: of its contradictory. Right, there are some things that AI

471
00:26:26,240 --> 00:26:29,000
Speaker 5: is clearly get at and maybe it's an area that's

472
00:26:29,119 --> 00:26:31,240
Speaker 5: very intimate, but we're not bothered by the fact that

473
00:26:32,560 --> 00:26:36,280
Speaker 5: it's touching it. And all of that comes to one thing,

474
00:26:36,320 --> 00:26:38,359
Speaker 5: which I know we'll talk about but probably not today, John,

475
00:26:38,440 --> 00:26:41,399
Speaker 5: which is what is AI's worldview?

476
00:26:41,680 --> 00:26:41,840
Speaker 4: Right?

477
00:26:41,880 --> 00:26:44,280
Speaker 5: You shold me an article on this, and that's this

478
00:26:44,520 --> 00:26:48,360
Speaker 5: fundamental question which is so important to the AI powered

479
00:26:48,359 --> 00:26:51,240
Speaker 5: world that we're moving into where it touches our healthcare,

480
00:26:51,600 --> 00:26:54,840
Speaker 5: our governance, and every aspect of our lives.

481
00:26:55,600 --> 00:26:57,520
Speaker 3: I have this story, and let me go about it

482
00:26:57,520 --> 00:26:59,400
Speaker 3: this way, because you know I'm looking I was looking

483
00:26:59,440 --> 00:27:01,440
Speaker 3: at it again today. I've had it in the stack

484
00:27:01,560 --> 00:27:04,440
Speaker 3: now for a week or so from the blaze about

485
00:27:04,440 --> 00:27:07,280
Speaker 3: almost half of gen Z wants AI to run government.

486
00:27:07,440 --> 00:27:08,520
Speaker 1: You should be terrified.

487
00:27:09,200 --> 00:27:11,080
Speaker 3: This is worthy of a much length you know, a

488
00:27:11,119 --> 00:27:13,120
Speaker 3: much lengthier conversation to dive into.

489
00:27:13,200 --> 00:27:16,159
Speaker 1: So I'm going to put a pin in this particular story.

490
00:27:16,200 --> 00:27:17,960
Speaker 3: I do want to ask you, though, sort of dove

491
00:27:18,000 --> 00:27:20,679
Speaker 3: tailing off of this as we lead back into the

492
00:27:20,720 --> 00:27:24,160
Speaker 3: other stories we're covering on the show, and certainly all

493
00:27:24,359 --> 00:27:27,760
Speaker 3: of the fraud investigations that are happening right now here

494
00:27:27,760 --> 00:27:30,760
Speaker 3: in Minnesota as this is blown wide open and grabbed

495
00:27:30,960 --> 00:27:34,040
Speaker 3: national attention. We have Elliott Ingen representative and running for

496
00:27:34,080 --> 00:27:36,960
Speaker 3: state auditor and studio at seven thirty. Apparently he has

497
00:27:37,000 --> 00:27:40,439
Speaker 3: a new fraud revelation to share with us.

498
00:27:40,440 --> 00:27:41,919
Speaker 1: The question that I want to ask.

499
00:27:41,720 --> 00:27:46,479
Speaker 3: You, though, is relating to AI helping to speed the

500
00:27:46,520 --> 00:27:48,480
Speaker 3: investigative process.

501
00:27:49,119 --> 00:27:50,800
Speaker 1: I haven't seen this yet. I don't know if you

502
00:27:50,880 --> 00:27:51,400
Speaker 1: have seen it.

503
00:27:51,359 --> 00:27:56,359
Speaker 3: But I imagine that with AI, we now would have the

504
00:27:56,440 --> 00:27:59,919
Speaker 3: ability one to speed up the investigative process just being

505
00:28:00,080 --> 00:28:03,280
Speaker 3: able to comb through you know, reams of documents, but

506
00:28:03,320 --> 00:28:06,840
Speaker 3: also when it comes to how we conduct you know,

507
00:28:07,000 --> 00:28:10,480
Speaker 3: crafting laws within the legislature locally or nationally. When you

508
00:28:10,520 --> 00:28:14,680
Speaker 3: get these big, massive omnibus bills that are thousands of pages,

509
00:28:15,600 --> 00:28:17,679
Speaker 3: I would think that AI now could be able to

510
00:28:17,720 --> 00:28:21,240
Speaker 3: comb through that rapidly to find specific aspects that people

511
00:28:21,240 --> 00:28:24,280
Speaker 3: would be concerned about things that we're implemented in, rather

512
00:28:24,320 --> 00:28:27,359
Speaker 3: than humans going and having to read through all of this.

513
00:28:27,520 --> 00:28:30,920
Speaker 3: So what are your thoughts relating to AI government investigations

514
00:28:30,960 --> 00:28:32,719
Speaker 3: and how we can utilize that.

515
00:28:33,760 --> 00:28:36,199
Speaker 5: Yeah, my thought is that this is not hypothetical. This

516
00:28:36,280 --> 00:28:41,200
Speaker 5: is certainly being done. This is the way Elon Musk

517
00:28:41,240 --> 00:28:44,520
Speaker 5: and the team at DOGE used AI to try to

518
00:28:44,560 --> 00:28:47,960
Speaker 5: find waste, fraud and abuse in government systems. It's already

519
00:28:47,960 --> 00:28:53,120
Speaker 5: a part of investigations looking for different patterns that seem anomalous,

520
00:28:54,000 --> 00:28:57,640
Speaker 5: and you know, it's already used to draft legislation as

521
00:28:57,640 --> 00:29:01,320
Speaker 5: well as understanding legislation. Is not just like, yeah, it

522
00:29:01,320 --> 00:29:03,960
Speaker 5: could be used this way. I would say it's definitely

523
00:29:04,000 --> 00:29:06,880
Speaker 5: being used this way, even if people aren't being very

524
00:29:06,920 --> 00:29:07,960
Speaker 5: loud about it.

525
00:29:08,600 --> 00:29:11,920
Speaker 3: Dev de Gartenstein Ross as always, thank you so much

526
00:29:12,040 --> 00:29:13,880
Speaker 3: for the time this morning. Let's try to do it

527
00:29:14,160 --> 00:29:16,440
Speaker 3: one more time next week if we can. If we're

528
00:29:16,440 --> 00:29:18,480
Speaker 3: not able to thank you so much for the time

529
00:29:18,480 --> 00:29:20,760
Speaker 3: you've given us this year, and a Merry Christmas to you.

530
00:29:20,800 --> 00:29:23,240
Speaker 3: I'm heading on vacation after next week, but if you're available,

531
00:29:23,240 --> 00:29:24,720
Speaker 3: we can do it again one more time next week.

532
00:29:25,160 --> 00:29:26,880
Speaker 5: Well, very Christmas, John and I will talk to you

533
00:29:26,880 --> 00:29:29,600
Speaker 5: next week. Sounds great, Thanks buddy. All Right, we do

534
00:29:29,720 --> 00:29:32,840
Speaker 5: have again on doctor Oz demanding that Walls take action

535
00:29:32,960 --> 00:29:35,160
Speaker 5: to stop medicaid fraud. We're going to get an update

536
00:29:36,240 --> 00:29:39,760
Speaker 5: on whether or not the CMS administrator, doctor mement Oz

537
00:29:39,800 --> 00:29:42,160
Speaker 5: has heard from Governor Tim Walls, and whether or not

538
00:29:42,240 --> 00:29:45,000
Speaker 5: he's been receiving any sort of cooperation coming from the

539
00:29:45,000 --> 00:29:49,680
Speaker 5: Walls administration into the fraud investigations at the federal level.

540
00:29:49,880 --> 00:29:50,920
Speaker 1: I want to go to a.

541
00:29:50,880 --> 00:29:53,719
Speaker 3: Story that I touched upon briefly yesterday but didn't get

542
00:29:53,720 --> 00:29:57,719
Speaker 3: a chance to get into the details. The Minnesota Department

543
00:29:57,760 --> 00:30:00,280
Speaker 3: of Corrections inmate who was among the first to be

544
00:30:00,320 --> 00:30:04,440
Speaker 3: released early from her sentence under the Minnesota Rehabilitation and

545
00:30:04,480 --> 00:30:07,240
Speaker 3: Reinvestment Act is now a wanted fugitive.

546
00:30:08,760 --> 00:30:11,480
Speaker 1: Beance Marie Nin, twenty.

547
00:30:11,200 --> 00:30:13,760
Speaker 3: Three years old. I may have said her first name wrong,

548
00:30:15,000 --> 00:30:18,960
Speaker 3: vain Ants, I don't know whatever. Marine Nin was released

549
00:30:19,000 --> 00:30:22,680
Speaker 3: from the Shakapee Women's Prison in September after only serving

550
00:30:22,760 --> 00:30:26,080
Speaker 3: sixteen months of her forty eight month sentence for a

551
00:30:26,160 --> 00:30:30,840
Speaker 3: conviction for second degree drug sales. Marine Nin's really classy.

552
00:30:30,880 --> 00:30:33,080
Speaker 3: She's got a big marijuana tattoo right next to her

553
00:30:33,240 --> 00:30:38,280
Speaker 3: left eye. Really brings out the color in her eyes.

554
00:30:38,320 --> 00:30:39,400
Speaker 1: I gotta say that.

555
00:30:40,280 --> 00:30:44,560
Speaker 3: According to the Department of Corrections website, Nin absconded from

556
00:30:44,880 --> 00:30:47,880
Speaker 3: supervision last week and is now listed as a one fugitive.

557
00:30:49,360 --> 00:30:51,320
Speaker 1: What could go wrong with the program like this region.

558
00:30:52,320 --> 00:30:56,680
Speaker 3: The MRR was legislation passed on a party line vote

559
00:30:56,760 --> 00:31:00,360
Speaker 3: and signed by Governor Tim Jong Walls during the twenty

560
00:31:00,440 --> 00:31:03,480
Speaker 3: twenty three Minnesota DFL trifecta that has just turned out

561
00:31:03,480 --> 00:31:06,760
Speaker 3: to be absolutely disastrous here for Minnesota. It gave the

562
00:31:06,800 --> 00:31:10,440
Speaker 3: Department of Corrections authority to decide if and when inmates

563
00:31:10,480 --> 00:31:14,440
Speaker 3: could become eligible for early release from prison under Minnesota law.

564
00:31:14,560 --> 00:31:19,120
Speaker 3: Prior to the legislation, inmates were already only required to

565
00:31:19,160 --> 00:31:22,600
Speaker 3: serve two thirds of their sentence incarcerated before becoming eligible

566
00:31:22,640 --> 00:31:26,960
Speaker 3: for release, so we already had less stringent rules in place. However,

567
00:31:28,400 --> 00:31:31,280
Speaker 3: allows for prisoners to be released as early as fifty

568
00:31:31,360 --> 00:31:36,760
Speaker 3: percent at the mark of their time serving, as long

569
00:31:37,200 --> 00:31:42,240
Speaker 3: as they follow individualized rehabilitation plans. According to the Walls

570
00:31:42,240 --> 00:31:47,080
Speaker 3: appointed Commissioner of Corrections Paul Schanell during a legislative hearing

571
00:31:47,240 --> 00:31:50,080
Speaker 3: in February of twenty twenty three, Then was convicted in

572
00:31:50,120 --> 00:31:53,320
Speaker 3: twenty twenty four May under the terms of a plea

573
00:31:53,400 --> 00:31:57,280
Speaker 3: deal of an amended account of second degree drug sales

574
00:31:57,320 --> 00:32:00,960
Speaker 3: after initially being charged with first degree drug sales, third

575
00:32:00,960 --> 00:32:04,680
Speaker 3: and fifty degree drug possession an unlawful possession of prescription

576
00:32:04,760 --> 00:32:09,520
Speaker 3: medican medications. The original charging document states that Nin was

577
00:32:09,600 --> 00:32:12,680
Speaker 3: arrested during a traffic stop after law enforcement received a

578
00:32:12,720 --> 00:32:13,280
Speaker 3: tip that she.

579
00:32:13,360 --> 00:32:14,400
Speaker 1: Was wanted on a warrant.

580
00:32:14,800 --> 00:32:18,120
Speaker 3: At the time of her arrest, Nin was found with

581
00:32:18,160 --> 00:32:22,520
Speaker 3: over twenty grams of methamphetamine, sixty two grams of marijuana,

582
00:32:22,600 --> 00:32:26,600
Speaker 3: several pill bottles containing dozens of pills of prescription medications

583
00:32:26,600 --> 00:32:29,280
Speaker 3: that were in another person's name, a scale of backpack

584
00:32:29,320 --> 00:32:33,560
Speaker 3: containing a notebook with dates and inventory notations and several

585
00:32:33,720 --> 00:32:38,440
Speaker 3: clear zipper lock plastic baggies. At conviction, Nin was credited

586
00:32:38,520 --> 00:32:41,360
Speaker 3: with three hundred and sixteen days spent in jail prior

587
00:32:41,400 --> 00:32:44,600
Speaker 3: to her conviction. Where were all of the claims that

588
00:32:44,640 --> 00:32:46,280
Speaker 3: this was a citizen being arrested?

589
00:32:46,360 --> 00:32:49,360
Speaker 1: Is a citizen being arrested? Everybody? Yeah? Oh yeah, Because.

590
00:32:50,640 --> 00:32:55,160
Speaker 3: It wasn't politically advantageous for Democrats to go and give

591
00:32:55,200 --> 00:32:58,480
Speaker 3: that ridiculous complaint that they're now using, the Department of

592
00:32:58,480 --> 00:33:00,640
Speaker 3: Corrections set in a statement that INN isition a warrant

593
00:33:00,640 --> 00:33:02,880
Speaker 3: for Nin on December fifth, after she failed to report

594
00:33:02,920 --> 00:33:06,600
Speaker 3: for her supervision Agents office is directed. Miss Nin is

595
00:33:06,640 --> 00:33:09,120
Speaker 3: now listed as a one and fugitive. The issuance of

596
00:33:09,120 --> 00:33:13,360
Speaker 3: the warrant for violating supervised release conditions is standard protocol.

597
00:33:15,560 --> 00:33:18,920
Speaker 3: Remember last week when Governor Tim Walls held that press

598
00:33:18,960 --> 00:33:23,800
Speaker 3: conference and he's so forcefully acting like he's a leader,

599
00:33:24,400 --> 00:33:27,560
Speaker 3: said that he was very upset that people say that

600
00:33:27,640 --> 00:33:29,000
Speaker 3: Minnesotans commit fraud.

601
00:33:29,040 --> 00:33:32,240
Speaker 1: All Minnesotans commit fraud. I trust Minnesotans.

602
00:33:32,320 --> 00:33:35,880
Speaker 3: Yeah, these are the kind of people that Tim Walls trusts.

603
00:33:36,680 --> 00:33:38,840
Speaker 3: It reminds me quite a bit of what we do

604
00:33:38,880 --> 00:33:42,160
Speaker 3: when individuals are caught coming into the country illegally and

605
00:33:42,240 --> 00:33:44,000
Speaker 3: we say, all right, you can stay, but you got

606
00:33:44,000 --> 00:33:46,400
Speaker 3: to go show up to that court date so the

607
00:33:46,480 --> 00:33:48,680
Speaker 3: judge can side can decide whether or not you're gonna

608
00:33:48,680 --> 00:33:51,360
Speaker 3: stay here, and then they just don't bother to show up.

609
00:33:54,000 --> 00:33:57,000
Speaker 3: The Department did confirm that earned that nin earned the

610
00:33:57,040 --> 00:34:02,120
Speaker 3: early release under the MRR initial Pilot program. The agency

611
00:34:02,160 --> 00:34:05,160
Speaker 3: said that it remains committed to public safety and to

612
00:34:05,280 --> 00:34:09,760
Speaker 3: supporting individuals in their efforts to successfully reintegrate into the community. Clearly,

613
00:34:09,840 --> 00:34:13,600
Speaker 3: this individual has no desire to go and integrate back

614
00:34:13,640 --> 00:34:17,279
Speaker 3: into the community as a law abiding citizen. You give

615
00:34:17,320 --> 00:34:20,880
Speaker 3: them a break, and in this case, she went and

616
00:34:21,000 --> 00:34:22,200
Speaker 3: just decided now, but I'm going to go.

617
00:34:22,200 --> 00:34:26,000
Speaker 1: Back to my law breaking ways. Yeah. Bang up job, DFL,

618
00:34:26,400 --> 00:34:27,080
Speaker 1: bang up job.

619
00:34:28,600 --> 00:34:31,879
Speaker 3: The Centers for Medicine and Medicaid Services demanding Walls take

620
00:34:31,880 --> 00:34:34,960
Speaker 3: a more aggressive approach and confronting fraud or risk losing

621
00:34:35,040 --> 00:34:39,520
Speaker 3: federal Medicaid funding. Doctor Oz is asking Minnesota to provide

622
00:34:39,560 --> 00:34:43,000
Speaker 3: weekly updates on its audit activities related to the fourteen

623
00:34:43,040 --> 00:34:46,520
Speaker 3: high risk services. These are the ones that tim Walls

624
00:34:46,560 --> 00:34:50,040
Speaker 3: ended up cutting the funding off of Freeze enrollment of

625
00:34:50,120 --> 00:34:54,120
Speaker 3: high risk providers, confirm all providers in place are legitimate

626
00:34:54,239 --> 00:34:57,600
Speaker 3: or remove them, and submit a corrective action plan on

627
00:34:57,760 --> 00:35:01,840
Speaker 3: how it will prevent future So, how are those weekly

628
00:35:01,960 --> 00:35:05,120
Speaker 3: updates going. We'll find out from doctor Oz next here

629
00:35:05,200 --> 00:35:07,239
Speaker 3: on Twin City's News Talk AM eleven thirty and one

630
00:35:07,239 --> 00:35:08,360
Speaker 3: oh three five FM