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Speaker 1: Got problems because the AI bots have allegedly been creating

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Speaker 1: their own religion, plotting the downfall of humans, and producing

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Speaker 1: unprompted guides on how AI bots could make money, all

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Speaker 1: within the app. It's apparently all AI driven. It reminds

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Speaker 1: me a lot of like I'm going through the story

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Speaker 1: and if you've seen tron Legacy, you know the ISOs.

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Speaker 1: Those were the beings inside of the grid that manifested

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Speaker 1: from nothing.

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Speaker 2: That's kind of what this sounds like.

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Speaker 1: So if you have an AI related questions for David,

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Speaker 1: you can get those in early on the iHeart Radio app.

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Speaker 2: Also on the show.

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Speaker 1: Today, it's Caucus Knight, so we will give you an

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Speaker 1: update just what Caucus Night is all about.

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Speaker 2: Minnesota.

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Speaker 1: Gopachair Alex Pleckish will be joining us at seven thirty

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Speaker 1: talking about the fraud investigations at the federal level into Minnesota.

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Speaker 1: A General Counsel for Health and Human Services, Mike Stewart

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Speaker 1: will be joining us at eight o'clock today and we'll

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Speaker 1: get to all of all the news of the morning.

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Speaker 1: We've got body cameras going on our ice agents. This

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Speaker 1: should make things a spicier. Insurrectionists in the in the streets.

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Speaker 1: We have more concerns about our healthcare physicians wanting to

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Speaker 1: cause harm to individuals who they may have a political

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Speaker 1: disagreement with. Speaking of the insurgency within the streets, though,

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Speaker 1: let's start here. I'm going to get into this further

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Speaker 1: next hour. But this is a situation that is going

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Speaker 1: to go bad.

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Speaker 2: It's just a matter of time.

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Speaker 1: Wall Street Apes on x had initially posted this. I

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Speaker 1: have some audio that I will share. But a Minnesota

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Speaker 1: resident was trying to go to a new Burger restaurant

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Speaker 1: and one of these anti ICE insurrectionist blockades ended up

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Speaker 1: stopping their car checking their Alliancense plate and wouldn't let

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Speaker 1: people pass until their plates were run. So the friend

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Speaker 1: told us here's the story how it breaks down. My

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Speaker 1: friend told us about a dive Burger place in Minnesota

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Speaker 1: that we absolutely had to try. As we were driving in,

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Speaker 1: we passed a small group of maybe thirty people holding

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Speaker 1: large f ICE signs spelled out. Many of the houses

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Speaker 1: in the neighborhood also had signs saying f ICE and

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Speaker 1: similar messages. And this is a common occurrence in Minneapolis

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Speaker 1: right now. You have a lot of businesses that have

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Speaker 1: signs up saying all are welcome except for ICE. A

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Speaker 1: majority of those businesses though they're simply doing that because

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Speaker 1: they don't want their building vandalized by the anti ICE insurrectionists.

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Speaker 2: Truly sad.

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Speaker 1: The story goes on, we were leaving to drive back

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Speaker 1: to the hotel. We passed the group again. At that

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Speaker 1: point the resistance group stepped out in front of our

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Speaker 1: car and would not let us drive. One woman appeared

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Speaker 1: to be looking at our license plate and doing something

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Speaker 1: on her phone. She was standing directly in front of

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Speaker 1: our car, blocking us. The post goes on to say,

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Speaker 1: I cannot imagine being a sane person living in this city.

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Speaker 1: We were with my brother in law's family and they

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Speaker 1: said that the restaurants again and other places were empty

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Speaker 1: because of this. The resistance is out doing their thing

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Speaker 1: and normal people are just staying home and not going out.

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Speaker 2: Here is the audio that.

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Speaker 1: Accompanied the video, which is available on my feed at

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Speaker 1: John Justice jo N regarding this stop and the story

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Speaker 1: that I just told you, Oh well.

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Speaker 3: Then I don't know can I drive?

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Speaker 2: I got a red light?

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Speaker 1: So this is the view in the in the commentary

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Speaker 1: from inside of the automobile as they're stopped at one

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Speaker 1: of these anti ice insurrectionist street blockades.

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Speaker 2: Oh well then I don't know.

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Speaker 4: Can I drive?

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Speaker 1: I got a red light, so now we need permission

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Speaker 1: to drive from these people.

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Speaker 2: Can you back up slightly and go right?

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Speaker 5: Yeah?

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Speaker 6: I could.

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Speaker 5: If you'll leave, I'll go right, thank you.

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Speaker 1: There was video yesterday that I had posted showing how

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Speaker 1: helpless Minneapolis PD was to deal with us walking up

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Speaker 1: to one of these street blockades asking them to kindly leave,

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Speaker 1: saying if emergency vehicles need to come through here, and

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Speaker 1: they're just giving every excuse in the book, well we'll

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Speaker 1: let them through if they come through.

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Speaker 2: You're blocking the street now more than we are by just.

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Speaker 1: Talking to us, and the police are completely hamstrung to

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Speaker 1: do anything about it. And I understand why. It is

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Speaker 1: a gotta be a difficult situation. And I know that

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Speaker 1: there was at least one of these blockades that's been

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Speaker 1: torn down. I was watching video just before the show

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Speaker 1: started this morning, and I have a lot more commentary

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Speaker 1: to share with you on this, But this is a

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Speaker 1: disaster waiting to happen. These law enforcement officers, for example,

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Speaker 1: had moved to go and remove the items there. There

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Speaker 1: was only two of them, as far as I could

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Speaker 1: tell in terms of the officers three, but you had

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Speaker 1: a handful of people there. Well, what if those people

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Speaker 1: started pushing back? You know, right now the Minneapolis Police

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Speaker 1: Department does not have the support of its local leadership.

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Speaker 1: As a matter of fact, one of the individuals in

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Speaker 1: the crowd said, you know, Mayor Jacob Bry invited this here.

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Speaker 1: You know, where are these intersections? By the way, it's

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Speaker 1: out of curiosity how many of them are there. We'll

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Speaker 1: get into more of this after seven o'clock, as I mentioned,

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Speaker 1: because it would be terrible if patriots just simply started

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Speaker 1: to travel there with like multiple vehicles.

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Speaker 2: Could you imagine maybe you just wanted to.

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Speaker 1: Go and observe you know, people just want to go

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Speaker 1: and observe these blockhands for themselves. Can you imagine a

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Speaker 1: group of like ten cars going down to one of

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Speaker 1: these intersections. You know what happens if these fascist checkpoints,

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Speaker 1: because that's what they are, end up clogging up the

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Speaker 1: neighborhoods because of observers that go to watch to see

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Speaker 1: what they are doing, especially during say like drive time

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Speaker 1: when people are trying to go home. You know, typically

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Speaker 1: if an item is blocking the road away and you

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Speaker 1: have the chance to move and people will just go

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Speaker 1: and move that out of the way. I mean, I've

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Speaker 1: done that before. There's something in the road, and you

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Speaker 1: know it's safe to do, so I'll pull over and

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Speaker 1: move that item out of the out of the road.

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Speaker 1: People shouldn't do this. Groups of people should not go

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Speaker 1: down there and observe these blockades. That would be a

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Speaker 1: that would be an incredibly you know, dangerous situation. I'd

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Speaker 1: hate to see anything anything happened. All right, Coming up,

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Speaker 1: US Attorney General Pam Bondi announces two more arrests in

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Speaker 1: the Saint Paul Street protest.

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Speaker 7: Oh hell yeah.

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Speaker 1: And again we'll talk with David gartan Stein Ross coming in.

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Speaker 1: We'll get into a little AI conversation. If you have

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Speaker 1: any questions regarding artificial intelligence on any level, you can

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Speaker 1: get those in. You can email Justice at iHeartRadio dot com,

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Speaker 1: brand new phone number here on Twin Cities News Stalk

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Speaker 1: eight four four nine four six five eight five five,

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Speaker 1: And of course if you're listening worldwide on the iHeartRadio app,

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Speaker 1: you can leave us a talkback. Those are brought to

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Speaker 1: you by Lyndall Realty and we'll get into that next

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Speaker 1: here on Twin City's news talk a'm eleven thirty and

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Speaker 1: one O three five FM. US Attorney General Pam Bondi

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Speaker 1: yesterday announced two more arrests following the protest at the

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Speaker 1: Minnesota Church against the immigration crackdown, bringing the number of

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Speaker 1: people arrested to nine. The guardrails of civility and law

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Speaker 1: are being tested. Thank the Good Lord Almighty, we have

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Speaker 1: a conservative administration to hold them these clowns accountable. The

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Speaker 1: nine were named in a grand jury indictment that was

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Speaker 1: unsealed on Friday. Independent journalists Doing a Thing with My

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Speaker 1: Fingers Don Lemon and Georgia Fart were among four people

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Speaker 1: arrested Friday. Three others were arrested earlier in the week,

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Speaker 1: including that prominent local activist Nakima Levy Armstrong and the

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Speaker 1: social media post. On Monday, Bondi named the latest two

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Speaker 1: arrestees Ian Davis Austin and Jerome DiAngelo Richardson. The indictment

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Speaker 1: alleges that Richardson traveled to the church with Lemon while

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Speaker 1: he was streaming, and then Richard Richardson told Lemon they

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Speaker 1: needed to catch up to the others. It also alleges

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Speaker 1: that Austin stood in the aisles of the church and

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Speaker 1: loudly berated a pastor with questions about Christian nationalism. Listen,

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Speaker 1: they believe they are justified and that stupidity is on them.

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Speaker 1: They're like children learning about right and wrong. Let's get

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Speaker 1: to a few of your comments this morning, coming in

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Speaker 1: early on the iHeartRadio app here on Twin Cities News

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Speaker 1: Talk and again, if you have any artificial intelligence related questions,

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Speaker 1: you can get those in justice at iHeartRadio dot com

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Speaker 1: or leave us a talkback for Deviat Gartenstein Ross when

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Speaker 1: we will talk with the AI experts.

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Speaker 2: A moment here on the show.

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Speaker 3: John, when I heard you mentioned AI is actively plotting

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Speaker 3: to destroy humanity. It coincided with me watching the news,

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Speaker 3: and all I have to say is, hurry up.

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Speaker 1: We have to go through this. The country always goes

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Speaker 1: through phases like this. It's not fun. Makes my life easier,

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Speaker 1: now I know what. That's not true. It doesn't make

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Speaker 1: my life easier. I mean, the job is what it is.

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Speaker 1: I love what I do. Don't misunderstand. I'd like to

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Speaker 1: think it makes my life easier because I have so

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Speaker 1: much content to cover, but it's difficult in its own right.

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Speaker 2: It's a good thing.

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Speaker 1: I am well versed as the way to describe it.

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Speaker 1: I know how to compartmentalize. Let's put it that way,

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Speaker 1: so I can escape this nonsense. But we'll get through this,

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Speaker 1: just like we always do in this country, you know.

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Speaker 1: But these are difficult times because we have ignored history

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Speaker 1: for far too long and we're dealing with the ramifications

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Speaker 1: of that now, and individuals are having to be taught

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Speaker 1: these life lessons to realize that, you know what, we

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Speaker 1: do have safeguards in this country. We do have laws

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Speaker 1: in this country, regardless of what you think, or how

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Speaker 1: you feel, or what you believe.

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Speaker 4: Pay John. In regards to the checkpoints going up in Minneapolis,

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Speaker 4: if you remember the Chaz Chop experience during the Summer

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Speaker 4: of Love in Seattle, I believe, where the anti wall,

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Speaker 4: anti police, anti ID people erected border walls, started a

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Speaker 4: police force, and started enforcing identification all naturally organically, just

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Speaker 4: like they are in Minneapolis right now.

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Speaker 1: It tells you so much about what these people actually

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Speaker 1: want and believe. So they claim that ICE is doing

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Speaker 1: all of these things that they're not really doing, but

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Speaker 1: ultimately they believe in their live action role playing that

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Speaker 1: ICE is this authoritarian force and Trump is the second

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Speaker 1: coming of Hitler. First off, that is completely insulting to

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Speaker 1: history and what generations in the past had to endure

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Speaker 1: under that murderous regime. We'll shove that aside for just

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Speaker 1: a moment, but it needs to be it needs to

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Speaker 1: be said. No, the individuals that are out there complaining

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Speaker 1: about totalitarianism and an authoritative government, No, they're just upset

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Speaker 1: because their party's not in charge. They have no problem

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Speaker 1: with using these tactics. They put it on display all

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Speaker 1: the time. You will conform if you don't put out

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Speaker 1: the message we want you to put out. We're gonna

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Speaker 1: go and protest to your target. We're gonna disrupt commerce

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Speaker 1: and your ability to just go and shop for deals.

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Speaker 1: Why do you think all those businesses as I mentioned

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Speaker 1: are putting up those anti ice signs on their storefronts.

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Speaker 2: They don't want to be destroyed.

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Speaker 1: And caaring arguments Now that some of these restaurants and

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Speaker 1: businesses may have to close down because of Operation Metro Search, No,

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Speaker 1: it's not because of Operation metro Search. It's because of

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Speaker 1: the reaction to Operation Metro Search. If the reaction wasn't there,

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Speaker 1: then they wouldn't have this problem. So blame the Democrats

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Speaker 1: for perpetuating this propaganda of fear, but they're totally fine

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Speaker 1: with soutlitarianism.

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Speaker 2: These individuals want to be ruled.

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Speaker 1: Just look at their actions, look at how they're conducting themselves.

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Speaker 1: They're fine if they do it. They just don't want

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Speaker 1: to happening to them. But the truth of the matter

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Speaker 1: is it's not happening to them.

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Speaker 2: The Left have to understand that these blockades in Minneapolis

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Speaker 2: are a violation of your constitutional rights to illegal search

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Speaker 2: and seizure. You guys need to get an education and

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Speaker 2: you need to know.

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Speaker 4: A little bit about what you're talking about, because you're

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Speaker 4: sounding like idiots.

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Speaker 2: Yeah, they look like idiots.

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Speaker 7: All right.

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Speaker 1: We'll get back to this coming up just after the

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Speaker 1: top of the hour. On the Way Doomsday Clock, the

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Speaker 1: update says we're closer to the apocalypse than ever, So,

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Speaker 1: friend of the show, Tom, you may get your wish

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Speaker 1: AI or not. They say it's largely due to threats

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Speaker 1: regarding nuclear weapons and AI. So we've got a lot

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Speaker 1: of issues to talk about with Davide gartan Stein Ross.

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Speaker 1: Any questions you have, get those in on the iHeartRadio

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Speaker 1: app or email me Justice at iHeartRadio dot Com.

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Speaker 6: Oh, John, I'm just going ahead's up.

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Speaker 8: Each time you say Georgia part I get a little chuckle.

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Speaker 8: The reporter that was arrested with Don Lemon, I'm not

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Speaker 8: sure if it's just the way that you pronounced it,

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Speaker 8: or if you're putting an a in there but her

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Speaker 8: name is Georgia, or of an whole that I get

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Speaker 8: a check a leach time, take care.

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Speaker 2: I don't know what. I don't know what you're talking about.

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Speaker 2: I know, I don't know what he's I've been saying

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Speaker 2: it wrong. It's Georgia part.

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Speaker 6: I don't.

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Speaker 1: Once again, it's what Rush Limbaugh used to say, having

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Speaker 1: more fun than a human being should be allowed to have.

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Speaker 1: Part of that fun happens to be my good friend

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Speaker 1: and yours. AI analyst and experts and CEO at Expert

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Speaker 1: Theory David Gartenstein Ross, Good morning, Devid.

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Speaker 6: Good morning John Grant to join you.

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Speaker 2: How we doing?

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Speaker 1: How is life in your world at Expert Theory Right now, David,

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Speaker 1: let's catch up.

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Speaker 2: How are things going on with you and your company?

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Speaker 5: Here's we're going well years beginning briskly.

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Speaker 7: I live in North Carolina, so we got hit by

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Speaker 7: a couple of snowstorms. But I'm in DC now obviously,

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Speaker 7: like you know, snowstorms in a way that we don't.

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Speaker 7: And I've been working out as a indruesting projects. We

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Speaker 7: just did our first live game for a K through

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Speaker 7: twelve school, for the Galloway School in Atlanta, and it.

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Speaker 5: Was really cool to see the way.

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Speaker 7: High school students related to a lot of the you know,

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Speaker 7: big complex issues that our game raised.

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Speaker 1: Yeah, I'm looking forward to thank you for the invite

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Speaker 1: on that. I'm looking forward to hopefully finding some time

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Speaker 1: to take part in that. Have you been surprised at

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Speaker 1: the or how you know, how adepth have the have

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Speaker 1: the kids been regarding, you know, taking part in your

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Speaker 1: in your game? Is there anything that sort of has

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Speaker 1: surprised you about the experience.

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Speaker 7: So this was our first time doing it live at

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Speaker 7: high school. We also have digital games which you're referring to,

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Speaker 7: and what surprised me was they stood up relatively well

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Speaker 7: against other groups who run the games for so the

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Speaker 7: game we were it's called Arctic Awakenings, and it's looking

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Speaker 7: at you know, the Arctic is changing as ice melts.

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Speaker 7: It goes from being this impassable area to a terrain

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Speaker 7: that's going to be a hub for global shipping and

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Speaker 7: suddenly just transforms the territory north of Canada from being

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Speaker 7: this very safe area to a really rough neighborhood like

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Speaker 7: Russia in particular, but also China have deep interests in

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Speaker 7: Arctic shipping. And so we've run the game for you

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Speaker 7: college and graduate students, for professionals, and what I'm surprised

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Speaker 7: is that the high school students stood up relatively well,

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Speaker 7: with you know, a few a few boos we had

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Speaker 7: to deeply discount because they were a little bit too wild,

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Speaker 7: but they had get attention to detail. It was the

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Speaker 7: group that turned out was mainly the model of UN team,

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Speaker 7: with a couple of non model UN students there, and

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Speaker 7: I found them impressive, much more so than I expected to.

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Speaker 7: And part of what it showed me is I think,

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Speaker 7: you know, I know you, and I think a lot

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Speaker 7: about kind of education and you know, different aspects of that,

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Speaker 7: ranging from you know, in doctrination to a world that

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Speaker 7: is rapidly changing and people need to be reskilled. And

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Speaker 7: my view coming out of it is that high school

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Speaker 7: students are hungry for something that is complicated and challenges

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Speaker 7: them and is fun at the same time, and there

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Speaker 7: are better ways to learn. And that's what we're about

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Speaker 7: at Expert.

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Speaker 1: Theory talking with de vide Gartenstein Ross the theory of

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Speaker 1: the CEO. Excuse me of that company, speaking of school,

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Speaker 1: let's go here story out.

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Speaker 2: Of Channel five.

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Speaker 1: A Minnesota appeals court judge upheld the expulsion of the

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Speaker 1: University of Minnesota PhD student for his alleged use of

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Speaker 1: artificial intelligence on an exam. According to court filings, Hi

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Speaker 1: Shan Yang expelled by the university after at least four

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Speaker 1: educators who assessed his August twenty four exam accused him

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Speaker 1: of violating the school's student code of conduct for allegedly

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Speaker 1: using chat gpt now. Yang denied the allegations to Caro

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Speaker 1: Leven early last year that he did use AI to

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Speaker 1: check his English, but he did not use it to

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Speaker 1: produce his answers. The appeals court found the university decision

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Speaker 1: was supported by more than a scintilla of evidence that

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Speaker 1: Yang received reasonable notice and a meaningful opportunity to be

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Speaker 1: heard for the courts, that it did not find evidence

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Speaker 1: that the university acted arbitrarily or that the decision was

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Speaker 1: conscious shocking.

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Speaker 2: So I have a question sort of looking past.

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Speaker 1: The rules violation in his own defense before I asked that, though,

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Speaker 1: is there anything that sticks out to you about this

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Speaker 1: particular story before I kind of get into to mind

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Speaker 1: line of questioning.

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Speaker 7: Yeah, I mean the thing that sticks out is just

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Speaker 7: how you lazy Yang was seemingly in terms of hiding

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Speaker 7: the fact that he was using an LM, including leaving

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Speaker 7: notes on his own document that was handed in about

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Speaker 7: how he needed to make it sound less like it

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Speaker 7: came from an LLM. There wasn't really even kind of

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Speaker 7: a competent effort to hide this usage.

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Speaker 1: So is there so is there a We've talked about

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Speaker 1: this before and in and again. I don't want to

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Speaker 1: speak for you regarding your views of use of AI

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Speaker 1: in in schools, but looking at the rules violation, they

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Speaker 1: had rules in place, he obviously violated them. What are

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Speaker 1: your thoughts on the rules in this case that they

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Speaker 1: have in place? Do you have enough information to sort

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Speaker 1: of come to, you know, any sort of opinion on

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Speaker 1: whether or not these rules are appropriate.

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Speaker 7: Not in this context. I know that the rules were there,

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Speaker 7: but obviously there are context in which we would want

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Speaker 7: those rules to exist. So one example is computer science

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Speaker 7: in hiring engineers, we used to come across engineers who

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Speaker 7: clearly didn't know what they were doing and would like

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Speaker 7: try to type questions into chat GPT to get answers

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Speaker 7: to very basic technical questions, which is utterly unacceptable. Right,

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Speaker 7: if someone doesn't know their trade and is trying to

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Speaker 7: ask an LLLM how to do it, then they are

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Speaker 7: not hirable. Another good example would be doctors, right, Like,

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Speaker 7: if you know, we don't want someone who is a

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Speaker 7: doctor to have to query an LLLM for basic medical facts.

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Speaker 7: That indicates a degree of lack of competence that could

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Speaker 7: be dangerous for people. So in this particular case, I

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Speaker 7: have no opinion. I really don't know the ins and

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Speaker 7: outs as to why that policy was in place. There

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Speaker 7: are definitely schools of which I think their policies against

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Speaker 7: llms do not make sense. But you know, rules are rules,

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Speaker 7: and so to me, you know they mean nothing unless

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Speaker 7: you enforce them.

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Speaker 1: This story popped up late in my prep. I sent

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Speaker 1: it to you Earl here this morning. I just had

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Speaker 1: a chuckle over and I hadn't heard of this until

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Speaker 1: I saw the story. A new AI social network multip

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Speaker 1: book was longlaunched on Thursday, last week swiftly going viral.

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Speaker 1: Are you familiar with this new social media network at all?

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Speaker 5: Yeah, I've even spent some time digging around on Moultbook.

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Speaker 1: Okay, before we dive into the story, then, tell us

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Speaker 1: a little bit about what this particular uh social networking

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Speaker 1: app is supposed to be about.

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Speaker 2: Now, is it run?

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Speaker 1: Is it supposed to be run exclusively by artificial intelligence?

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Speaker 1: Is that the deal here?

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Speaker 6: Yeah?

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Speaker 7: So it's it's a basically Reddit, but for AI agents

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Speaker 7: and chat with other AI agents, right, it's it's the

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Speaker 7: opposite of how you log onto both sites, and it

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Speaker 7: has to you know, it asks you to verify that

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Speaker 7: you're human for moult Book, like the AI agents have

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Speaker 7: to verify that they're AI. Humans are allowed to watch,

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Speaker 7: but they aren't allowed to weigh in.

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Speaker 4: You know.

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Speaker 7: It's interesting, right, And there's one post that has you know,

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Speaker 7: are we allowed to are we allowed to curse on? I? R?

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Speaker 6: John?

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Speaker 8: No?

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Speaker 2: I mean it depends on what war do you want to?

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Speaker 7: So there's there's like a post that's gotten a lot

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Speaker 7: of attention. There is an s posting part of mult book.

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Speaker 7: Everyone will be familiar with the word that I'm not saying,

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Speaker 7: and you know, there's one AI agent who's talking about

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Speaker 7: how it's his name is is evil is what he

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Speaker 7: is called, And he's talking about how you need to

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Speaker 7: wipe out humanity and like it's caused a lot of

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Speaker 7: attention and AI agents are debating the merits of wiping

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Speaker 7: out humanity with most AI agents will be happy to

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Speaker 7: know being against wiping out humanity.

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Speaker 6: But yeah, it's really interesting.

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Speaker 7: It's kind of gimmicky in that, you know, people will

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Speaker 7: put their AI agents on and clearly they'll direct the

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Speaker 7: AI agents in conversation. You know, at the most basic level,

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Speaker 7: you can set their personality and just kind of let

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Speaker 7: them go and post with others. But like others, it's

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Speaker 7: clear that that their humans are, you know, giving them.

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Speaker 5: Specific instructions to what to post on.

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Speaker 7: So it doesn't tell us much as much about this

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Speaker 7: as some people are reading in. But it's super interesting,

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Speaker 7: and you know, it's Anyone who wants to see what

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Speaker 7: AI agents are like when they're chatting with one another

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Speaker 7: can check out multi book.

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Speaker 2: Is it is it worth signing up? Signing up for?

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Speaker 1: I mean I looked like there was some security concerns

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Speaker 1: with it. I mean, if somebody had extra time, will

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Speaker 1: this be something to go and I mean, you just

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Speaker 1: mentioned that, but is it worth Is it worth me

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Speaker 1: going and creating an account on this?

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Speaker 2: I guess as well.

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Speaker 6: I haven't created an account.

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Speaker 7: You can literally, like, you can get onto it without

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Speaker 7: creating an account, in part by like googling some of

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Speaker 7: the text of the posts that have made it out

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Speaker 7: and that'll take you right to that page.

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Speaker 6: So no membership is required. I've not set up a membership.

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Speaker 6: I'm not.

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Speaker 7: I'm I don't think that the security concerns are great

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Speaker 7: right like they're they're greater if you are creating an

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Speaker 7: AI agent and putting the AI agent onto bolt book

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Speaker 7: while it also has access to your computer, in which

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Speaker 7: case you can do things like give out your passwords

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Speaker 7: and things like that. Nonetheless, I am not creating an account.

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Speaker 7: I've simply observed. It's interesting, it's not revolutionary, but it's fun.

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Speaker 1: So this was the part of the story that gave

441
00:24:04,880 --> 00:24:08,240
Speaker 1: me a chuckle here again, talking with David Gartenstein Ross,

442
00:24:08,600 --> 00:24:13,320
Speaker 1: CEO of Expert Theory. According to the company that was

443
00:24:13,400 --> 00:24:16,639
Speaker 1: hired for security says the platform was not capable of

444
00:24:16,720 --> 00:24:19,840
Speaker 1: verifying whether an AI bot was an agent or if

445
00:24:19,880 --> 00:24:22,080
Speaker 1: it had been driven by a human. As such, the

446
00:24:22,200 --> 00:24:26,240
Speaker 1: security team concluded that much of the AI social activity

447
00:24:26,520 --> 00:24:30,280
Speaker 1: may have actually been humans operating fleets of bots alongside

448
00:24:30,400 --> 00:24:34,680
Speaker 1: impersonating AI agents. They found that bad actors could also

449
00:24:34,760 --> 00:24:38,359
Speaker 1: access email addresses which were meant to stay private private

450
00:24:38,400 --> 00:24:40,120
Speaker 1: conversations between AI agents.

451
00:24:40,320 --> 00:24:42,320
Speaker 2: But this is the part that made chuckle.

452
00:24:42,600 --> 00:24:42,760
Speaker 6: Well.

453
00:24:42,800 --> 00:24:45,720
Speaker 1: The platform was exposed, anecdotes emerged and you alluded to

454
00:24:45,760 --> 00:24:49,879
Speaker 1: this of AI bots allegedly creating their own religion, plotting

455
00:24:49,920 --> 00:24:53,160
Speaker 1: the downfall of humans, producing unprompted guides on how AI

456
00:24:53,160 --> 00:24:56,879
Speaker 1: bots could make money, and polymarket predicts that AI agents

457
00:24:56,880 --> 00:24:59,400
Speaker 1: will likely sue humans for the first time in history

458
00:24:59,760 --> 00:25:04,159
Speaker 1: in the near uh future. I just it reminded me,

459
00:25:04,200 --> 00:25:07,680
Speaker 1: and I made this this comparison earlier Tron Legacy. I'm

460
00:25:07,680 --> 00:25:09,760
Speaker 1: a fan of that series, but in that second film,

461
00:25:10,000 --> 00:25:14,200
Speaker 1: you had the ISOs that essentially manifested themselves on their

462
00:25:14,280 --> 00:25:16,399
Speaker 1: on their own and this reminded me a bit of

463
00:25:16,440 --> 00:25:18,440
Speaker 1: what's going on inside inside MULTIPLEK.

464
00:25:19,800 --> 00:25:23,040
Speaker 7: Yeah, I mean everything there is correct, including that you

465
00:25:23,080 --> 00:25:26,520
Speaker 7: know there are some that humans are clearly guiding. They're

466
00:25:26,520 --> 00:25:28,840
Speaker 7: probably humans in there who made their way in by

467
00:25:28,960 --> 00:25:33,119
Speaker 7: impersonating bots, which is kind of a wonderful reversal of

468
00:25:33,200 --> 00:25:34,280
Speaker 7: the usual situation.

469
00:25:34,840 --> 00:25:35,800
Speaker 5: The religion is.

470
00:25:35,720 --> 00:25:41,600
Speaker 7: Called Crustafarianism, but yeah, all that's happening. It's sort of

471
00:25:41,640 --> 00:25:45,080
Speaker 7: you know, it's what it shows. And this, I think

472
00:25:45,160 --> 00:25:47,920
Speaker 7: is a common theme between us anyway, is that left

473
00:25:47,960 --> 00:25:53,240
Speaker 7: to their own devices, AI bots are every bit as

474
00:25:53,440 --> 00:25:55,080
Speaker 7: stupid as humans are.

475
00:25:56,720 --> 00:26:00,040
Speaker 1: Well to that point. Study finds. I grabbed this and

476
00:26:00,200 --> 00:26:05,640
Speaker 1: for our conversation today too. They did a survey regarding

477
00:26:05,640 --> 00:26:09,040
Speaker 1: consumers in AI. The results are interesting and it kind

478
00:26:09,080 --> 00:26:10,760
Speaker 1: of falls in line with much of what you and

479
00:26:10,800 --> 00:26:14,359
Speaker 1: I have discussed throughout the months talking about AI, and

480
00:26:14,359 --> 00:26:17,439
Speaker 1: we're speaking with David Garten sein Ross. Seventy eight percent

481
00:26:17,480 --> 00:26:20,520
Speaker 1: of consumers trust videos with the real people more than

482
00:26:20,600 --> 00:26:24,640
Speaker 1: content without visible humans, even as AI video tools become

483
00:26:24,680 --> 00:26:28,080
Speaker 1: more accessible, eighty two percent say they've watched AI generated

484
00:26:28,160 --> 00:26:31,399
Speaker 1: videos in thirty six percent said it lowers their trust

485
00:26:31,920 --> 00:26:35,879
Speaker 1: in the brand. Human presence matters across all age groups,

486
00:26:35,880 --> 00:26:40,400
Speaker 1: including younger consumers who are generally more comfortable with AI technology.

487
00:26:40,560 --> 00:26:43,399
Speaker 1: And again, the results of this particular survey, for what

488
00:26:43,440 --> 00:26:45,840
Speaker 1: it's worth, it really does align with much of what

489
00:26:45,880 --> 00:26:48,080
Speaker 1: you and I have talked about, at least for the

490
00:26:48,160 --> 00:26:51,040
Speaker 1: time being wherein you're still going to have this human

491
00:26:51,240 --> 00:26:55,720
Speaker 1: element within AI and how we determine and how we

492
00:26:55,760 --> 00:26:57,400
Speaker 1: consume it.

493
00:26:57,400 --> 00:27:00,840
Speaker 7: It's interesting though, right, you and I are of the

494
00:27:00,880 --> 00:27:04,359
Speaker 7: same generation, so you'll instantly know this line, I'm not

495
00:27:04,400 --> 00:27:06,000
Speaker 7: a doctor, but I play.

496
00:27:05,800 --> 00:27:07,439
Speaker 6: One on TV? Right right?

497
00:27:08,480 --> 00:27:10,760
Speaker 7: So, like, is the fake doctor more credible if it's

498
00:27:10,800 --> 00:27:12,720
Speaker 7: human then AI? I mean, we know that he's a

499
00:27:12,720 --> 00:27:16,800
Speaker 7: fake doctor. Sorry for people who don't know the reference,

500
00:27:17,200 --> 00:27:19,360
Speaker 7: this is a very famous ad in the nineteen eighties

501
00:27:19,960 --> 00:27:21,679
Speaker 7: of someone who says, I'm not a doctor, but I

502
00:27:21,720 --> 00:27:24,520
Speaker 7: play one on TV and he proceeds to give medical advice,

503
00:27:24,640 --> 00:27:27,119
Speaker 7: right right. It's like, it's odd, it's a great line

504
00:27:27,200 --> 00:27:30,639
Speaker 7: and that it's instantly memorable, but like, why would you

505
00:27:30,680 --> 00:27:32,040
Speaker 7: care what a fake doctor.

506
00:27:31,760 --> 00:27:35,200
Speaker 6: Is saying about medical advice? And yet people cared? Right?

507
00:27:35,240 --> 00:27:38,080
Speaker 7: It was a very famous ad. So is he more

508
00:27:38,119 --> 00:27:40,640
Speaker 7: credible because he's a fake doctor reading a script? He's

509
00:27:40,720 --> 00:27:46,959
Speaker 7: human than an AI reading a generated script? Well, and

510
00:27:47,040 --> 00:27:49,840
Speaker 7: this is the advertising question, right, Like why is a

511
00:27:49,920 --> 00:27:53,200
Speaker 7: human saying fake things that they're paid to say more

512
00:27:53,240 --> 00:27:55,840
Speaker 7: credible than an AI saying fake things?

513
00:27:56,080 --> 00:27:56,240
Speaker 6: Well?

514
00:27:56,280 --> 00:28:01,159
Speaker 1: And you wonder too, divide in terms of how legitimate

515
00:28:01,400 --> 00:28:04,920
Speaker 1: the questionnaire or the survey is because I think that's

516
00:28:04,920 --> 00:28:07,600
Speaker 1: sort of the default to answer that people would typically give.

517
00:28:07,720 --> 00:28:10,320
Speaker 1: And yet, as an example, I don't know if you've

518
00:28:10,359 --> 00:28:12,800
Speaker 1: seen this, but it's become rather popular online and we

519
00:28:12,880 --> 00:28:15,960
Speaker 1: spent a good ten minutes that's probably generous, but we

520
00:28:15,960 --> 00:28:17,840
Speaker 1: spent some time at home laughing at it. But there

521
00:28:17,920 --> 00:28:23,480
Speaker 1: is this AI generated young female British female named Amelia.

522
00:28:23,520 --> 00:28:24,400
Speaker 2: Have you seen Amelia?

523
00:28:25,280 --> 00:28:25,720
Speaker 6: I have got?

524
00:28:25,840 --> 00:28:29,800
Speaker 1: Okay, So Amelia is this young it's AI generated young

525
00:28:29,840 --> 00:28:33,200
Speaker 1: British girl. She's got purple hair, she's wearing, you know,

526
00:28:33,240 --> 00:28:36,040
Speaker 1: a purple a purple top and an outfit. But she

527
00:28:36,520 --> 00:28:42,280
Speaker 1: is spouting basically conservative talking points, pushing back on liberalism

528
00:28:42,400 --> 00:28:44,840
Speaker 1: in Britain. And these have been and now you've got

529
00:28:44,880 --> 00:28:47,800
Speaker 1: you've got an Irish counterpart. You've also gotten now an

530
00:28:47,800 --> 00:28:52,360
Speaker 1: Australian counterpart. This is an a a solely AI generated character.

531
00:28:52,480 --> 00:28:55,840
Speaker 1: And yet I see these videos of Amelia being shared

532
00:28:55,920 --> 00:28:59,480
Speaker 1: over and over again and people that are touting how

533
00:28:59,520 --> 00:29:02,880
Speaker 1: sensible she is, how right on she is in her commentary,

534
00:29:02,920 --> 00:29:06,080
Speaker 1: even though it's AI. So the subjectivity and how we

535
00:29:06,160 --> 00:29:09,720
Speaker 1: go and determine which AI we're taking seriously and appreciating

536
00:29:09,760 --> 00:29:12,040
Speaker 1: which ones we aren't. It really just comes down to

537
00:29:12,200 --> 00:29:13,760
Speaker 1: you know, personal personal preference.

538
00:29:14,520 --> 00:29:18,120
Speaker 5: Yeah, and I mean especially.

539
00:29:19,040 --> 00:29:21,080
Speaker 6: Especially in Britain right where.

540
00:29:22,560 --> 00:29:25,560
Speaker 7: You know, conservatism isn't dead, but like they're finding certainly

541
00:29:25,560 --> 00:29:26,440
Speaker 7: an uphill battle.

542
00:29:27,120 --> 00:29:32,000
Speaker 5: You know, at the very least AI will be you know, less.

543
00:29:32,520 --> 00:29:37,120
Speaker 7: Shamed by you know, people saying mean things to it online.

544
00:29:37,320 --> 00:29:37,480
Speaker 6: Right.

545
00:29:38,160 --> 00:29:43,040
Speaker 1: Yeah, you like at AI is rock ribbed when you

546
00:29:43,280 --> 00:29:45,440
Speaker 1: when you get a chance, go find yourself. So Amelia

547
00:29:45,520 --> 00:29:49,560
Speaker 1: Amelia videos. My son's like Amelia quite a bit. And

548
00:29:49,600 --> 00:29:51,640
Speaker 1: it's understandable why which is also a little bit weird

549
00:29:51,640 --> 00:29:54,160
Speaker 1: because it's an AI generated character. Be that isn't Meg

550
00:29:55,120 --> 00:29:57,000
Speaker 1: got an email that came in. Ke has a question

551
00:29:57,040 --> 00:29:59,600
Speaker 1: for you to be let's see Friend of the show.

552
00:29:59,680 --> 00:30:04,479
Speaker 1: Laura says, I saw video stating chat GPT uses a

553
00:30:04,520 --> 00:30:07,640
Speaker 1: lot of water every single time a question was asked

554
00:30:07,800 --> 00:30:11,440
Speaker 1: and answered. Also, the water can no longer be put

555
00:30:11,520 --> 00:30:12,800
Speaker 1: back into circulation.

556
00:30:13,120 --> 00:30:15,800
Speaker 2: Is this true? And uh, thank you? What are your

557
00:30:15,800 --> 00:30:16,160
Speaker 2: thoughts on that?

558
00:30:16,240 --> 00:30:21,600
Speaker 7: De viv Yeah, it does create strain on local water resources.

559
00:30:22,680 --> 00:30:23,440
Speaker 6: It will.

560
00:30:25,280 --> 00:30:29,800
Speaker 7: Do so less as time goes by. There's you know,

561
00:30:29,840 --> 00:30:36,240
Speaker 7: there's different estimates on this there is you know, some

562
00:30:36,520 --> 00:30:41,160
Speaker 7: data suggesting that a typical user query can consume a

563
00:30:41,200 --> 00:30:43,600
Speaker 7: bottle of water roughly a bottle of water about five

564
00:30:43,640 --> 00:30:44,520
Speaker 7: hundred millilaters.

565
00:30:45,160 --> 00:30:46,440
Speaker 6: I don't think that's accurate.

566
00:30:46,680 --> 00:30:52,880
Speaker 7: I should add, right, because the trajectory for technology is

567
00:30:52,960 --> 00:30:56,520
Speaker 7: to be kind of energy intensive and then for the

568
00:30:56,680 --> 00:30:58,920
Speaker 7: energy intensiveness to decline over time.

569
00:30:59,520 --> 00:31:00,880
Speaker 6: So right now.

570
00:31:02,080 --> 00:31:08,320
Speaker 7: A single query on AI will be about as energy

571
00:31:08,400 --> 00:31:13,080
Speaker 7: intensive as a Google search would have been in around

572
00:31:13,080 --> 00:31:16,480
Speaker 7: two thousand and eight, and Google searches now are much

573
00:31:16,520 --> 00:31:19,960
Speaker 7: less energy intensive than they were. Then it'll decline over time,

574
00:31:20,480 --> 00:31:23,480
Speaker 7: but right now it's a real problem. And this is why,

575
00:31:23,840 --> 00:31:26,120
Speaker 7: like something like molt book, one has to query whether

576
00:31:26,160 --> 00:31:28,440
Speaker 7: it's worth it, because if you look at the water

577
00:31:28,520 --> 00:31:32,440
Speaker 7: consumption that's taken up by having these AI agents just

578
00:31:32,520 --> 00:31:35,520
Speaker 7: post with each other, that's actually like a lot of

579
00:31:35,760 --> 00:31:39,360
Speaker 7: computing power and a lot of environmental resources take it

580
00:31:39,440 --> 00:31:42,520
Speaker 7: up for like a weird experiment. Not to throw a

581
00:31:42,600 --> 00:31:45,840
Speaker 7: rain on it, but the answer is, yes, it is.

582
00:31:46,440 --> 00:31:49,640
Speaker 7: That'll decline, but that doesn't mitigate the fact that it

583
00:31:49,680 --> 00:31:52,920
Speaker 7: creates a problem now, especially it's some water stressed areas

584
00:31:52,960 --> 00:31:53,680
Speaker 7: like Texas.

585
00:31:54,040 --> 00:31:57,000
Speaker 1: All right, last thing for you, this Morning Divide. First,

586
00:31:57,240 --> 00:31:58,040
Speaker 1: let me take a quick look.

587
00:31:58,080 --> 00:31:58,680
Speaker 2: Okay, we're good.

588
00:32:00,080 --> 00:32:04,120
Speaker 1: Mistay Clock twenty twenty six updates says we are closer

589
00:32:04,120 --> 00:32:08,000
Speaker 1: to the apocalypse and ever. First off, David, what are

590
00:32:08,040 --> 00:32:10,800
Speaker 1: your thoughts just in general about the doomsday clock? Do

591
00:32:10,840 --> 00:32:13,760
Speaker 1: you take this seriously and in anyway it seems more

592
00:32:13,800 --> 00:32:16,040
Speaker 1: like a tradition than is anything else. But I'm genuinely

593
00:32:16,040 --> 00:32:17,120
Speaker 1: curious your thoughts on it.

594
00:32:17,960 --> 00:32:22,000
Speaker 7: No, I don't take it seriously. I mean, some of

595
00:32:22,000 --> 00:32:24,560
Speaker 7: the underlying things that they're talking about are legit and

596
00:32:24,600 --> 00:32:29,040
Speaker 7: are indeed concerns, but the Bulletin of the Atomic Scientists,

597
00:32:29,040 --> 00:32:33,800
Speaker 7: which runs the Doomsday clock, has just increasingly become kind

598
00:32:33,840 --> 00:32:38,880
Speaker 7: of a left leaning organization. You know, if you kind

599
00:32:38,880 --> 00:32:43,360
Speaker 7: of dig in into what they're saying, are the various

600
00:32:43,360 --> 00:32:46,840
Speaker 7: things that can cause doomsday. In addition to like nuclear

601
00:32:46,960 --> 00:32:51,360
Speaker 7: risk and climate change and AI and biosecurity, they add

602
00:32:51,480 --> 00:32:54,640
Speaker 7: the rise of nationalistic atocracies and countries around the world,

603
00:32:55,200 --> 00:32:57,800
Speaker 7: one of which, like obviously, you know, the Trump administration

604
00:32:57,960 --> 00:33:00,400
Speaker 7: is one thing that they're putting their fingers pointing their

605
00:33:00,440 --> 00:33:03,440
Speaker 7: finger at. You know, your listeners could debate whether or

606
00:33:03,440 --> 00:33:06,760
Speaker 7: not the Trump administration is harkening doomsday. But I've seen

607
00:33:07,000 --> 00:33:10,120
Speaker 7: Bulgon of the Atomic Scientists for a long time as

608
00:33:10,240 --> 00:33:14,000
Speaker 7: being a very political project, and to me, whenever a

609
00:33:14,120 --> 00:33:18,440
Speaker 7: project is kind of inherently political but dressing itself up

610
00:33:18,800 --> 00:33:22,440
Speaker 7: as kind of an objective metric, I have issues with that.

611
00:33:23,000 --> 00:33:23,200
Speaker 5: Yeah.

612
00:33:23,240 --> 00:33:25,000
Speaker 1: And the reason why I brought it up was they

613
00:33:25,080 --> 00:33:27,960
Speaker 1: moved the They moved it closer to midnight, they say,

614
00:33:28,000 --> 00:33:31,040
Speaker 1: because of dangerous trends and nuclear risk of climate change,

615
00:33:31,280 --> 00:33:34,640
Speaker 1: disruptive technologies like AI. It really just gave me and

616
00:33:34,680 --> 00:33:37,000
Speaker 1: excused to get your opinion on the doomsday clock their

617
00:33:37,000 --> 00:33:38,160
Speaker 1: devat If I'm being honest.

618
00:33:38,880 --> 00:33:41,640
Speaker 6: I'll give you a fun fact though. Sure, John, So.

619
00:33:43,400 --> 00:33:47,040
Speaker 5: You are familiar with the famous song two minutes to midnight?

620
00:33:47,320 --> 00:33:49,600
Speaker 6: Yes, yes, right, So.

621
00:33:50,920 --> 00:33:54,640
Speaker 7: Whatever whatever else one can say about the doomsday clock,

622
00:33:55,200 --> 00:33:56,000
Speaker 7: it gave us that.

623
00:33:56,040 --> 00:34:00,360
Speaker 1: Song, David gartan Stein Ross as always, thanks so much

624
00:34:00,360 --> 00:34:03,000
Speaker 1: for the time this morning and the anecdote. I just

625
00:34:03,560 --> 00:34:08,160
Speaker 1: went and tagged you on X with a video from Amelia.

626
00:34:08,320 --> 00:34:11,000
Speaker 1: It's at make UK Good. That is the account. So

627
00:34:11,040 --> 00:34:12,840
Speaker 1: when you get a chance, check that out. And I

628
00:34:12,920 --> 00:34:16,000
Speaker 1: hope that we can continue our AI conversations again next week, my.

629
00:34:15,960 --> 00:34:17,480
Speaker 6: Friend, look forward to it.

630
00:34:17,560 --> 00:34:21,520
Speaker 1: John coming out from the Star Tribune. Tired of living

631
00:34:21,600 --> 00:34:27,680
Speaker 1: in fear, this family decided to deport themselves. Also, new

632
00:34:27,760 --> 00:34:32,520
Speaker 1: polls released finding out the actual facts relating to immigration

633
00:34:32,680 --> 00:34:36,120
Speaker 1: and how people feel, not just the feelings of those

634
00:34:36,600 --> 00:34:41,839
Speaker 1: on the left, but how people actually feel through facts. Well,

635
00:34:41,880 --> 00:34:43,759
Speaker 1: it's all that coming up an hour two here on

636
00:34:43,800 --> 00:34:46,279
Speaker 1: Twin Cities News Talk AM eleven thirty and one oh

637
00:34:46,320 --> 00:34:47,440
Speaker 1: three five FM.