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<v Speaker 1>You're listening to KFI AM six forty on demand. Hey,

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<v Speaker 1>good afternoon. I'm Chris Merril.

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<v Speaker 2>This is KFI AM six forty and we are on

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<v Speaker 2>demand anytime in the iHeartRadio app. When you're on that app,

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<v Speaker 2>you can click on that talkback button. If you have questions, comments,

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<v Speaker 2>quipt quotes, criticisms, or compliments about the program, feel free

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<v Speaker 2>to let us know the question for tonight's talk back.

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<v Speaker 2>I had a story about to former inmates of San

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<v Speaker 2>Quentin going back to play an alumni game on their

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<v Speaker 2>Field of Dreams, which is the baseball field inside the prison,

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<v Speaker 2>and so it's former inmates versus current inmates. Current inmates

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<v Speaker 2>won big ley. Incidentally, what is someplace that you would

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<v Speaker 2>never go back to visit? Because if I got out

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<v Speaker 2>of Saint Quentin, I would never even want to drive

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<v Speaker 2>by the place, and if I did, I go nightmares

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<v Speaker 2>in there.

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<v Speaker 1>That's it. I just never want to go back.

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<v Speaker 2>Curious about what where it is that you've spent time

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<v Speaker 2>that you would never want to go back to again.

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<v Speaker 3>Good afternoon, Chris, listen is to Heilly out of him

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<v Speaker 3>in California. The one place I would not go back

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<v Speaker 3>to Tahati Village time share presentation. I thought it was

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<v Speaker 3>cool because I said they were giving away like three days,

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<v Speaker 3>four nights, But it felt like I was a hostage

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<v Speaker 3>and it was very hostile. I do not advise that

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<v Speaker 3>for anyone. The work's the one place a time share presentation.

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<v Speaker 3>Oh my god, thinking about it now is give me exiety.

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<v Speaker 1>Yeah, me too.

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<v Speaker 2>My wife dragged me to a couple of those because

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<v Speaker 2>she's like, oh, they're gonna pay for you know. We

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<v Speaker 2>had two nights at this dump of a hotel in Branson, Missouri. Oh,

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<v Speaker 2>we did it there. And then when we first got married,

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<v Speaker 2>actually was here. We sat through one of those timeshare

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<v Speaker 2>presentations because they give us tickets to I think Universal

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<v Speaker 2>Studios or something. We were living in northern Arizona at

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<v Speaker 2>the time, and they said, so we had to sit

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<v Speaker 2>through that, and they said, oh, you should only take

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<v Speaker 2>about two hours. You know, when it only takes you know,

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<v Speaker 2>when the presentation only takes two hours is when you

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<v Speaker 2>when you sign up for a time share right away.

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<v Speaker 2>In both cases, we were stuck there for four hours.

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<v Speaker 2>We were the last to leave. And he's right, you

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<v Speaker 2>feel like a hostage. Oh it's the worst. I'm with you.

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<v Speaker 2>One hundred percent, and finally after the last one, my

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<v Speaker 2>wife is like, Okay, We're never going to do that again.

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<v Speaker 2>It's not worth it. I go, was that worth the

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<v Speaker 2>two hundred dollars that we just saved? She goes, no,

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<v Speaker 2>it was not.

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<v Speaker 4>Hey, Chris, someplace I'd never go back to visit probably

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<v Speaker 4>send you Comic Con that place. I mean, it's it's great,

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<v Speaker 4>but after going for you know, so many years, the

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<v Speaker 4>pandemic stout me and I think I'm done with that place.

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<v Speaker 1>Too crazy. It is crazy.

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<v Speaker 2>Yeah, you've been to comic Con, Kayla, Now, no, it's

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<v Speaker 2>pretty crazy. When you like, you have to be in

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<v Speaker 2>that mood, the same mood you have to be in

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<v Speaker 2>when you go. I'm going to go deal with the

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<v Speaker 2>crazy amount of people at for instance, Universal Studios, which

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<v Speaker 2>the day that we went, which was part of our honeymoon,

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<v Speaker 2>it rained like torrents and it was wonderful. Oh so

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<v Speaker 2>few people there. I mean it was buckets. We're riding

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<v Speaker 2>roller coasters.

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<v Speaker 1>In the rain.

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<v Speaker 2>It was so great. I loved it so much. But

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<v Speaker 2>Comic Con is it's just a madhouse. It's like going

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<v Speaker 2>to Disney on a popular day. It's just it's just

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<v Speaker 2>a madhouse and you're standing out, you're standing outside and

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<v Speaker 2>you're in line, and uh it's hot.

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<v Speaker 1>Yeah, beautiful setting.

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<v Speaker 2>You didn't get a better setting than the convention center

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<v Speaker 2>in San Diego, but yeah, it's a lot. You just

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<v Speaker 2>have to be all in for it. If you're not

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<v Speaker 2>all in for Comic Con, it's no good. Uh, all right,

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<v Speaker 2>did you want to.

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<v Speaker 1>Do this other one?

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<v Speaker 2>We had one guy that had thoughts on trans athletes.

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<v Speaker 2>We were talking about the transathletes earlier. For those of

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<v Speaker 2>you joining us, I just don't like the parents are

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<v Speaker 2>screaming at kids.

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<v Speaker 1>I don't. I don't care for it at all.

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<v Speaker 2>And then we have people that are justifying parents screaming

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<v Speaker 2>at sixteen year olds.

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<v Speaker 1>Well they deserved it. So what are you gonna do?

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<v Speaker 2>I mean, yeah, you have freedom of speech, but you

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<v Speaker 2>also have freedom to not be, you know, an adult

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<v Speaker 2>acting like a child process your emotions. Let's uh, let's

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<v Speaker 2>find the words. Probably not scream at children. Trumps on again, off, oup,

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<v Speaker 2>hang on, wrong one, hang on.

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<v Speaker 5>If I had a daughter, I would suggest that she

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<v Speaker 5>boycott these competitions where there's transgenders. I mean, it's a

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<v Speaker 5>no win for these young women that can't compete with

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<v Speaker 5>the genetics of a boy. I mean, you can put

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<v Speaker 5>lipstick on the boy, but it's not a girl. So

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<v Speaker 5>just saying it's not gonna work, huh. And this is

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<v Speaker 5>gonna end up tragically down the road.

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<v Speaker 2>I think it is. I'm afraid it is gonna end

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<v Speaker 2>up tragically down the road. And I don't think that's

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<v Speaker 2>because you have trans athletes. I think it's because you

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<v Speaker 2>have people bullying children. And as far as it's a

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<v Speaker 2>no win, well, the trans girl that competed did get

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<v Speaker 2>gold in one event and shared that gold with two

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<v Speaker 2>other girls and got silver in the in the long

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<v Speaker 2>jump event, So you can't really say it's a no

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<v Speaker 2>win when she didn't beat them all.

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<v Speaker 1>So I don't know, man, I wouldn't.

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<v Speaker 2>I wouldn't deprive my daughter of the opportunity to go

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<v Speaker 2>win at the state track and field because of my own.

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<v Speaker 1>Political leanings. I just wouldn't do it. I wouldn't. Yeah,

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<v Speaker 1>I mean, you do what you want. It's your kid,

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<v Speaker 1>But I wouldn't deprive my kid. How about this?

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<v Speaker 2>Did you happen to see that there was a story.

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<v Speaker 2>I'm shifting gears here. I don't want to talk about

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<v Speaker 2>it anymore. Did you have to see the story about

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<v Speaker 2>Elon Musk? They say that he was doing drugs during

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<v Speaker 2>the campaign. What New York Times the mind bending article.

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<v Speaker 2>As Elon Musk became one of Donald Trump's closest allies

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<v Speaker 2>last year, leading raucus rallies and donating two hundred and

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<v Speaker 2>seventy five million to help him win the presidency, he

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<v Speaker 2>was also using drugs far more intensely than previously known.

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<v Speaker 2>According to people familiar with his activities, The consumption went

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<v Speaker 2>well beyond occasional use. He told people he was taking

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<v Speaker 2>so much ketamine that it was affecting his bladder, which

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<v Speaker 2>is a known.

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<v Speaker 1>Effect of chronic use.

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<v Speaker 2>He took ecstasy and psychedelic mushrooms, and he traveled with

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<v Speaker 2>a daily medication box that held about twenty pills, including

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<v Speaker 2>ones with the markings of the stimulant adderall according to

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<v Speaker 2>a photo of the box and people who have seen it.

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<v Speaker 1>I don't know about you, guys, I'm stunned.

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<v Speaker 2>I'm shocked that the guy who would wear a hat

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<v Speaker 2>on top of the hat and get on stage and

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<v Speaker 2>jump and scream and carry on the way that he

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<v Speaker 2>did would have any history of drug use.

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<v Speaker 1>That seemed like perfectly normal behavior to me. So I

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<v Speaker 1>just that is, uh, that is wild that he was

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<v Speaker 1>using a lot of drugs. I assume we're all on drugs.

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<v Speaker 2>I mean, isn't there a point where you see people

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<v Speaker 2>and you go, okay, well there's some drug use going

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<v Speaker 2>on there.

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<v Speaker 1>He's at it.

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<v Speaker 2>Before I'd profen always you can just oh yeah, right, yeah,

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<v Speaker 2>I know, right, Like, hey, here's a fun drug I

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<v Speaker 2>just started this week, Saw Palmetto. Yeah, yep, it's supposed

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<v Speaker 2>to help with prostate function. So I also carry around

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<v Speaker 2>a little pill box with about twenty pills a day.

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<v Speaker 1>Yeah, saw Palmetto.

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<v Speaker 2>I've got my multi vitamin, I've got my blood pressure

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<v Speaker 2>medication I got Yeah. Yeah, I guess I'm like Elon

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<v Speaker 2>Musk minus the ketamine and adderall and the jumping on

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<v Speaker 2>stage with a chainsaw. Yeah, but otherwise exactly the same.

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<v Speaker 2>The thing with Musk, though, is that when he did

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<v Speaker 2>all that stuff, we didn't immediately go what is he on?

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<v Speaker 2>Because he's an eccentric person to start with, you know,

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<v Speaker 2>so it's like, well, Elon Musk is being crazy, but

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<v Speaker 2>that's what makes him a genius, and you go, nam

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<v Speaker 2>Elon Musk, Elon Musk.

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<v Speaker 1>Is an eccentric and he's had some really genius things.

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<v Speaker 2>Don't get me wrong, I don't want to take it away

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<v Speaker 2>from anything that he's accomplished.

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<v Speaker 1>But the behavior that we saw was that was a little.

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<v Speaker 2>Beyond just eccentric. That was just that was drugs. That

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<v Speaker 2>was straight up drugs.

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<v Speaker 1>Do you buy the black eye? Oh?

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<v Speaker 2>That he told his son to hit him. I was

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<v Speaker 2>playing with my son. I told him to punched me,

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<v Speaker 2>and they hit a lot harder than you'd think.

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<v Speaker 5>Uh.

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<v Speaker 2>I don't know who tells their kid to punch him.

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<v Speaker 2>That's weird to me. Also, I'm not surprised though that

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<v Speaker 2>if the black eye. It wouldn't surprise me if the

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<v Speaker 2>black eye did come from the kid. And I say

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<v Speaker 2>that because the kid is a bit undisciplined as well.

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<v Speaker 2>I mean, he's a four year old who Musk brought

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<v Speaker 2>to the Oval office during a press conference. It was

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<v Speaker 2>running around and telling the president pretty horrible things during

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<v Speaker 2>live television. You're an fn idiot. A four year old

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<v Speaker 2>is telling the President of the United States, the commander.

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<v Speaker 1>Of the free world, you're an fing idiot.

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<v Speaker 2>So yeah, it would not surprise me if the kid

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<v Speaker 2>has discipline issues and would punch Dad in the eye.

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<v Speaker 1>That does not surprise me at all. That's what Bratts do.

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<v Speaker 1>You know.

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<v Speaker 2>They misbehave and if they're not corrected, then they'll continue

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<v Speaker 2>to misbehave.

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<v Speaker 1>So yeah, that part doesn't surprise me at all.

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<v Speaker 2>So Trump was asked about Elon Musk in this press

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<v Speaker 2>conference because you know, there was the kind of the

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<v Speaker 2>falling out, and then Musk said, Wow, I've not really

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<v Speaker 2>saved the country any money, but I sure have saved

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<v Speaker 2>all of my investors a lot of money.

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<v Speaker 1>They just haven't made squad.

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<v Speaker 6>What started as a political romance is now wrapping up

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<v Speaker 6>with a little less love. Elon Musk's one hundred and

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<v Speaker 6>thirty days as the head of the Department of Government

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<v Speaker 6>Efficiency came to an end today, well short of his promises,

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<v Speaker 6>and just days after he criticized President and Trump's.

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<v Speaker 1>A big beautiful Bill.

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<v Speaker 6>Trump and Musk sharing the spotlight today at the White

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<v Speaker 6>House as Musk ends his role as a special government employee.

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<v Speaker 2>But while okay, then they get on more stuff blah

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<v Speaker 2>blah blah, and then Trump gave him a gold key

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<v Speaker 2>and then he said it's great, and uh, we're gonna

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<v Speaker 2>save a bunch of money and YadA, YadA, YadA.

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<v Speaker 1>Does this strike you as.

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<v Speaker 2>Odd though the times that they've had the joint press

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<v Speaker 2>conferences in the Oval Office, Trump is set at the

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<v Speaker 2>resolute desk and Musk has stood by, sometimes with this

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<v Speaker 2>kid crawling all over the president, sometimes just nearby, wearing

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<v Speaker 2>his T shirt because of the respect for the office.

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<v Speaker 2>I know Trump is sitting, and of course Musk wearing

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<v Speaker 2>a baseball capital time. I know that Trump is sitting

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<v Speaker 2>behind the desk, and I think he's saying, I'm gonna

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<v Speaker 2>sit behind the desk and look presidential.

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<v Speaker 1>But there's just something about the tableau of it.

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<v Speaker 2>Where Trump is. I mean, he likes to lean right,

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<v Speaker 2>he likes to slouch. We've seen that everywhere he goes

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<v Speaker 2>he slouches, and which is fine. He can slouch aw

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<v Speaker 2>you want, I'm slouching as week, But the tableau of it,

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<v Speaker 2>and I know Trump is like, I'm the president.

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<v Speaker 1>I'm gonna sit behind the resolute desk.

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<v Speaker 2>This makes me look presidential, and then I'm gonna have

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<v Speaker 2>him standing there and it's gonna look.

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<v Speaker 1>Like he's an aid.

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<v Speaker 2>But somehow Musk upstages him. Part of it has to

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<v Speaker 2>do with Trump's posture. Part of it anything has to

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<v Speaker 2>do with just the way that Musk stands and commands

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<v Speaker 2>an energy in that room that that Trump doesn't have

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<v Speaker 2>when he's sitting there and then looking up at Musk.

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<v Speaker 2>This is a really odd thing that I noticed. I

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<v Speaker 2>don't know if I haven't heard anybody else point that out,

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<v Speaker 2>but it just seemed really strange to me. Just seemed

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<v Speaker 2>really odd. All right, the Tariff's on, Tariff's off. That

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<v Speaker 2>is next, Chris Merril KF I AM six forty Live

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<v Speaker 2>everywhere in the iHeartRadio app AM I AM six forty

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<v Speaker 2>More stimulating talk Chris Merrill. This week there was a

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<v Speaker 2>much ado as a number of code talkers disappeared from

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<v Speaker 2>military websites. The History of the code Talkers, which used

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<v Speaker 2>to be on the the Department of Defense website, vanished.

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<v Speaker 2>If you're unfamiliar to the code talkers, especially the Navajo

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<v Speaker 2>code talkers who the most famous. All the code talkers

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<v Speaker 2>were used throughout history, Chalk, Taus, Comanche, Navajo, others, but

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<v Speaker 2>the Navajo code talkers basically developed a code in World

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<v Speaker 2>War II using their own language that the Germans couldn't decipher.

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<v Speaker 2>They couldn't get to it. Now, if you'll recall the

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<v Speaker 2>Germans were very very good. Listen, I'm getting old, and

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<v Speaker 2>I realized about the time I hit forty, suddenly all

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<v Speaker 2>those World War II documentaries on the History Channel became

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<v Speaker 2>fascinating to me. You'll recall the Germans of World War

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<v Speaker 2>Two were very very good at their codes, at disguising

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<v Speaker 2>their messages. We couldn't break it. In fact, it was

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<v Speaker 2>only after the development of the Enigma machine that we

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<v Speaker 2>were able to do.

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<v Speaker 1>So.

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<v Speaker 2>It was basically the first computer. We allowed for the

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<v Speaker 2>machine to UH to decipher it. Because the Germans had

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<v Speaker 2>a way of changing their code every day, it seemed

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<v Speaker 2>to be a.

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<v Speaker 1>Completely random pattern. So suppose you're.

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<v Speaker 2>Doing one of those ciphers in the in the newspaper

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<v Speaker 2>or online or wherever you do it, and uh and

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<v Speaker 2>and and you have to try to figure out what

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<v Speaker 2>it says. And you're and you're trying to break the code,

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<v Speaker 2>and you're going, Okay, well this squiggly line this I

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<v Speaker 2>figured out that this squiggly line that equals a D.

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<v Speaker 2>So then you go through all the cipher and you

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<v Speaker 2>find all the squiggly lines and you go, that's a D.

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<v Speaker 2>And then from there you try to figure out the

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<v Speaker 2>rest of it, right, that's it. Well, imagine if every

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<v Speaker 2>time you got to one the whole thing changed. The

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<v Speaker 2>whole thing changed.

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<v Speaker 1>So Alan Turing was the guy.

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<v Speaker 2>He's kind of considered to be the father of modern

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<v Speaker 2>computers because he had this notion, rather than trying to

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<v Speaker 2>get people, who are it crosswords and ciphers in the paper,

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<v Speaker 2>why don't we get a machine that can figure out

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<v Speaker 2>these codes and it'll be able to do it faster

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<v Speaker 2>than we can now. They didn't have the kind of

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<v Speaker 2>machinery and chips that we did, obviously, because they didn't

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<v Speaker 2>have computers then, so it was a very mechanical system.

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<v Speaker 2>But he made it work and they were able to

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<v Speaker 2>use this Enigma machine to decipher the code, and that

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<v Speaker 2>gave us an advantage on the Germans.

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<v Speaker 1>On the American side, we didn't have any of this.

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<v Speaker 2>We didn't worry about Germany's technological superiority to decipher our codes.

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<v Speaker 1>Because what we did is we took a dead language.

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<v Speaker 2>Well to the rest of the world anyway, the Navajo

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<v Speaker 2>were still using it, which is why it was known.

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<v Speaker 2>We took a language that the rest of the world

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<v Speaker 2>didn't know. They had no idea, they didn't know what

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<v Speaker 2>these different sounds meant. They didn't have any interpreters. They

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<v Speaker 2>didn't have so they're trying to decipher a language with

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<v Speaker 2>no key. There was no well, this sound means this

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<v Speaker 2>letter or this phrase could POTENTI mean this. They couldn't

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<v Speaker 2>decipher it for squat And it was all based on

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<v Speaker 2>that ancient not ancient, but that Navajo language which had

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<v Speaker 2>been around for for hundreds of years or more. So

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<v Speaker 2>the Navajo stepped up. The Navajo soldiers spoke in this language.

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<v Speaker 2>The Germans couldn't decipher it, and the way that we

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<v Speaker 2>were then eventually able to decipher their codes using our

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<v Speaker 2>computing expertise, they couldn't do it. So in many ways

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<v Speaker 2>it was the code talkers who gave us an advantage

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<v Speaker 2>in the war, including iwo Jima, six code talkers. Iwo

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<v Speaker 2>Jima sent more than eight hundred messages with zero errors.

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<v Speaker 2>Part of the reason that we had the Navajo in

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<v Speaker 2>the military was because there was an emphasis on diversity

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<v Speaker 2>in the military. They wanted diversity because they knew there

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<v Speaker 2>was strength and having people with different backgrounds who could

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<v Speaker 2>bring different skills, and in the case of the code talkers,

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<v Speaker 2>they brought an entire language that nobody else could speak,

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<v Speaker 2>and it was the most effective encryption that anyone had

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<v Speaker 2>during World War two. And again, as I mentioned, we said,

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<v Speaker 2>this happened in the past, Choctaw, World War one, Comanche,

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<v Speaker 2>also in World War two. We've seen this happen before.

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<v Speaker 2>So President Trump signs the DEI Executive Order. We're gonna

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<v Speaker 2>get all diversity, we're gonna get all equality, we're gonna

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<v Speaker 2>get all inclusion and anything that promotes those things out

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<v Speaker 2>of the military. And so they said, we're gonna scrub

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<v Speaker 2>all the websites of any of this stuff. And what

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<v Speaker 2>they do, they scrubbed the website. At least ten articles

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<v Speaker 2>that mentioned the code talkers disappeared from the US Army

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<v Speaker 2>and the Department of Defense websites.

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<v Speaker 1>Well, as one might expect, all hell broke clues.

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<v Speaker 2>People were not very excited about the fact that we've

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<v Speaker 2>just decided to erase history because we're afraid it might

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<v Speaker 2>be too inclusionary, so we don't learn our history.

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<v Speaker 1>What could possibly go wrong?

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<v Speaker 2>Okay, if I AM six forty, we're live everywhere on

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<v Speaker 2>the iHeartRadio app.

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<v Speaker 1>You're listening to KFI AM six forty on demand.

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<v Speaker 2>Thank it, Amy Chris Merril, if I am six forty

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<v Speaker 2>more stimulating talk talkback question.

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<v Speaker 1>Today, we had.

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<v Speaker 2>A story about former inmates at San Quentin that went

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<v Speaker 2>back to play an alumni baseball game against current inmates,

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<v Speaker 2>and I thought, if I got out of San Quentin,

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<v Speaker 2>I ain't going back no way.

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<v Speaker 1>So what is someplace that you would never go back

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<v Speaker 1>to visit?

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<v Speaker 2>We've had a few on here on One guy said

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<v Speaker 2>he would never go back to Flint, Michigan.

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<v Speaker 1>I'll blame him.

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<v Speaker 2>Another dude said he would never go back to a

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<v Speaker 2>Timeshare presentation. Amen, A men, my friend, So what is

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<v Speaker 2>someplace you would never go back to visit? If you're

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<v Speaker 2>on the iHeart radio app, just cleik on that talk

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<v Speaker 2>back and let us know what if someplace you would

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<v Speaker 2>never go back to visit?

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<v Speaker 1>And then obviously why why would you not go back there?

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<v Speaker 2>There was an interesting story that popped this week and

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<v Speaker 2>an interview was done with the CEO of Anthropic, which

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<v Speaker 2>is one of the AI companies that's out there, and

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<v Speaker 2>he's basically warning a bunch of white collar jobs are

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<v Speaker 2>going to go away.

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<v Speaker 1>And now I was reading and he was talking with

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<v Speaker 1>an Axios reporter.

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<v Speaker 2>Axios is continue to follow up on a lot of

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<v Speaker 2>these AI stories this week. They've really been the forefront

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<v Speaker 2>of reporting on the AI here of late, and they said,

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<v Speaker 2>the US government needs AI expertise and dominance to beat

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<v Speaker 2>China in the next big technological and geopolitical shift, but

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<v Speaker 2>they can't pull it off without the help of Microsoft, Google,

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<v Speaker 2>Open Ai, Nvidia and others. And so we're seeing emerging

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<v Speaker 2>of Washington and Silicon Valley. They say, driven by necessity

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<v Speaker 2>and fierce urgency. So much so then that they they

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<v Speaker 2>use the phrase codependent superstructure. The government and the the

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<v Speaker 2>tech companies have formed a codependent superstructure in the race

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<v Speaker 2>to dominate AI, and that strikes me as really odd.

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<v Speaker 2>I know that we have government that supports certain businesses,

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<v Speaker 2>and it doesn't matter if you're a Republican or a Democrat.

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<v Speaker 1>It happens.

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<v Speaker 2>And then when the Democrats do it, the Republicans say

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<v Speaker 2>that we shouldn't be using government to pick and choose winners.

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<v Speaker 2>And then when the Republicans do it, then the Democrats say,

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<v Speaker 2>I can't believe that the Republicans would do this to pick.

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<v Speaker 1>And choose winners.

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<v Speaker 2>And of course there's always winners that benefit typically that party,

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<v Speaker 2>whether that's labor unions, or whether that's big business and

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<v Speaker 2>low taxes, blah blah blah. Right, We've seen this play

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<v Speaker 2>out time and time again, but we are seeing a

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<v Speaker 2>lot of subsidies going towards some of these companies, or

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<v Speaker 2>you could say investments. Axos points out that the White

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<v Speaker 2>House has cultivated a deeper relationship with America's AI giants,

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<v Speaker 2>championing of five hundred billion dollars stargate infrastructure led by

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<v Speaker 2>Open Ai, Oracle soft Bank, which is out of Japan,

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<v Speaker 2>and MGX from the United Arab Emirates, all of these

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<v Speaker 2>different things to try to give us a leg up.

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<v Speaker 1>On the AI race.

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<v Speaker 2>And yet I think to myself, if we had, if

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<v Speaker 2>we had the government that is trying to push forward

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<v Speaker 2>this the efforts in AI in a public private partnership

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<v Speaker 2>that benefits the private sector, how is that different than

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<v Speaker 2>what China does. China is a capitalistic communistic government, right,

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<v Speaker 2>I mean, it's communist capitalism. Chinese Communist Party does this.

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<v Speaker 2>They invest and they work with the companies and then the

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<v Speaker 2>companies make money. But in this case, the Chinese government

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<v Speaker 2>gets some of the proceeds. That's really the difference is

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<v Speaker 2>that if the company in China that's working with the government.

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<v Speaker 1>Let's say TikTok.

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<v Speaker 2>If TikTok makes a bunch of money because with some

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<v Speaker 2>of the investments that the Chinese government has made, then

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<v Speaker 2>the Chinese government says, cool, that was our investment.

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<v Speaker 1>We want something out of it.

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<v Speaker 2>Right in the US, the government makes an investment and

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<v Speaker 2>then the company takes off, but the government doesn't really

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<v Speaker 2>recoup that. Right, we give subsidies, or we give tax breaks,

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<v Speaker 2>we give we give certain advantages, tax abatements, call them

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<v Speaker 2>right to these companies because the companies need to help.

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<v Speaker 1>We want to.

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<v Speaker 2>We want to, we want to win this battle. And

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<v Speaker 2>then you know, okay, well what does the government get

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<v Speaker 2>out of it? And they go nothing, but the CEOs will,

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<v Speaker 2>and then the CEOs go, we built that, right. It

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<v Speaker 2>has been a big political argument. You didn't build that,

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<v Speaker 2>Oh yes I did. I built this from my hands,

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<v Speaker 2>you know, with my bare hands. Like no, literally, the government,

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<v Speaker 2>the government gave you a break so you could build it. Oh,

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<v Speaker 2>I built this from scratch all by myself. I played

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<v Speaker 2>by the rules. You did play by the rules, but

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<v Speaker 2>the rules were definitely in your favor. Because if I

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<v Speaker 2>go out there and I say I want to start

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<v Speaker 2>a business, I think the government should give me a

422
00:22:09.039 --> 00:22:11.519
<v Speaker 2>tax break. The government goes, well, how big is your business.

423
00:22:12.160 --> 00:22:15.359
<v Speaker 2>The bigger the business, the more likely you are to

424
00:22:15.400 --> 00:22:17.480
<v Speaker 2>have some help from the government. It's just the way

425
00:22:17.519 --> 00:22:19.920
<v Speaker 2>it works. But what do you owe back to the government.

426
00:22:19.960 --> 00:22:21.720
<v Speaker 2>The smaller your business, the more you're going to owe

427
00:22:21.759 --> 00:22:24.640
<v Speaker 2>the government. I don't get that tax break because my

428
00:22:24.640 --> 00:22:27.279
<v Speaker 2>business is too small. Small business in the backbone of America.

429
00:22:27.319 --> 00:22:28.720
<v Speaker 2>It pays all of our taxes so that we can

430
00:22:28.759 --> 00:22:30.599
<v Speaker 2>give those taxes to the big companies that really are

431
00:22:30.599 --> 00:22:34.039
<v Speaker 2>going to do great things. Right, That's how our system works.

432
00:22:34.359 --> 00:22:37.160
<v Speaker 2>I find it to be flawed. Not a big fan

433
00:22:37.240 --> 00:22:40.160
<v Speaker 2>of it. I understand how we got here. You're just

434
00:22:40.200 --> 00:22:43.400
<v Speaker 2>not a big fan of that. And moreover, I'm even

435
00:22:43.480 --> 00:22:45.400
<v Speaker 2>less of a fan of the dishonesty around it, Like, no,

436
00:22:45.440 --> 00:22:46.559
<v Speaker 2>we're not, Yeah you are.

437
00:22:47.000 --> 00:22:49.000
<v Speaker 1>Just call it what it is you are.

438
00:22:49.720 --> 00:22:51.279
<v Speaker 2>So either we're all on a level playing field and

439
00:22:51.319 --> 00:22:52.799
<v Speaker 2>we're all going to pay the same taxes, or we're

440
00:22:52.839 --> 00:22:55.759
<v Speaker 2>not at a level playing field and just admit it.

441
00:22:55.759 --> 00:22:56.440
<v Speaker 1>That's what it is.

442
00:22:57.279 --> 00:23:04.079
<v Speaker 2>So what this CEO of Nthropics said is basically, quit

443
00:23:04.240 --> 00:23:11.240
<v Speaker 2>sugarcoating what's coming mass elimination of jobs across technology, finance, law, consulting,

444
00:23:11.279 --> 00:23:15.599
<v Speaker 2>and other white collar professions, especially entry level gigs.

445
00:23:16.240 --> 00:23:20.400
<v Speaker 1>Entry level white collar roll. That's what you need. Entry

446
00:23:20.480 --> 00:23:21.599
<v Speaker 1>level white collar.

447
00:23:23.000 --> 00:23:25.599
<v Speaker 2>That's a cush job until the cuts come and then

448
00:23:25.640 --> 00:23:28.200
<v Speaker 2>you're the first one out. But let's just call it

449
00:23:29.079 --> 00:23:32.960
<v Speaker 2>lower to middle management. This is from Anderson Cooper talked

450
00:23:32.960 --> 00:23:36.279
<v Speaker 2>with the Anthropic CEO on CNN. Dario, you've said that

451
00:23:36.400 --> 00:23:39.880
<v Speaker 2>AI could wipe out half of all entry level white

452
00:23:39.920 --> 00:23:44.400
<v Speaker 2>collar jobs and spike unemployment to ten to twenty percent.

453
00:23:44.640 --> 00:23:46.839
<v Speaker 1>How soon might that happen?

454
00:23:47.119 --> 00:23:48.880
<v Speaker 7>Just to back up a little bit, you know, I've

455
00:23:48.920 --> 00:23:52.400
<v Speaker 7>been building AI for over a decade, and I think

456
00:23:52.400 --> 00:23:54.880
<v Speaker 7>maybe the most salient feature of the technology and what

457
00:23:55.000 --> 00:23:58.240
<v Speaker 7>is driving all of this is how fast the technology

458
00:23:58.279 --> 00:24:00.880
<v Speaker 7>is getting better. A couple of years years ago, you

459
00:24:00.920 --> 00:24:03.240
<v Speaker 7>could say that AI models were maybe as good as

460
00:24:03.240 --> 00:24:05.640
<v Speaker 7>a smart high school student. I would say that now

461
00:24:05.680 --> 00:24:08.359
<v Speaker 7>they're as good as a smart college student and sort

462
00:24:08.359 --> 00:24:09.279
<v Speaker 7>of reaching past that.

463
00:24:09.759 --> 00:24:12.480
<v Speaker 1>I really worry, particularly at the entry.

464
00:24:12.319 --> 00:24:16.319
<v Speaker 7>Level, that the AI models are are very much at

465
00:24:16.319 --> 00:24:18.960
<v Speaker 7>the center of what an entry level human.

466
00:24:18.720 --> 00:24:23.319
<v Speaker 2>Worker would do. The problem is, what is an entry

467
00:24:23.400 --> 00:24:27.319
<v Speaker 2>level human worker? Because I can tell you this, I'm

468
00:24:27.319 --> 00:24:30.359
<v Speaker 2>not impressed. I'm not impressed by AI yet. I mean,

469
00:24:30.400 --> 00:24:33.000
<v Speaker 2>I'm impressed by where it's going. I'm impressed by the concept.

470
00:24:33.359 --> 00:24:36.640
<v Speaker 2>I'm impressed by the proof of concept. I'm impressed by

471
00:24:36.720 --> 00:24:39.400
<v Speaker 2>some of the early functionings. I'm not impressed with a

472
00:24:39.400 --> 00:24:44.839
<v Speaker 2>lot of it because hallucinations still run wild. Hallucinations are

473
00:24:44.839 --> 00:24:48.680
<v Speaker 2>still a big issue. Well right now AI is hallucinating

474
00:24:49.039 --> 00:24:52.119
<v Speaker 2>case law, which is one of the reasons that people

475
00:24:52.160 --> 00:24:54.000
<v Speaker 2>are worried about it. In fact, there was another poll

476
00:24:54.000 --> 00:24:57.319
<v Speaker 2>that came out that says the public is not so

477
00:24:57.519 --> 00:25:01.400
<v Speaker 2>cool on how quickly things are moving. Yeah, it's great

478
00:25:01.440 --> 00:25:05.480
<v Speaker 2>for punching up my resume. It's really neat for making photos.

479
00:25:05.960 --> 00:25:09.960
<v Speaker 2>But maybe it's moving a little too fast. They might

480
00:25:10.000 --> 00:25:13.000
<v Speaker 2>have a point, they might just be scared. We'll do

481
00:25:13.039 --> 00:25:15.960
<v Speaker 2>a little analysis on the sociology of it next. Chris

482
00:25:15.960 --> 00:25:18.920
<v Speaker 2>Merril M six forty WeLive everywhere in the iHeartRadio app.

483
00:25:19.400 --> 00:25:22.279
<v Speaker 2>Good evening, my friends, Chris Merril kfi AM six forty,

484
00:25:24.119 --> 00:25:28.759
<v Speaker 2>U demand anytime the iHeart Radio app All right our

485
00:25:28.839 --> 00:25:30.519
<v Speaker 2>questions and I wear is one place that you would

486
00:25:30.519 --> 00:25:33.680
<v Speaker 2>never go back. I had a story about former inmates

487
00:25:33.720 --> 00:25:35.440
<v Speaker 2>at San Quentin that went back to play an alumni

488
00:25:35.480 --> 00:25:38.799
<v Speaker 2>baseball game at their Field of Dreams, And I say,

489
00:25:39.359 --> 00:25:42.880
<v Speaker 2>you never get me back there? No way. If I

490
00:25:42.960 --> 00:25:45.359
<v Speaker 2>got out, I'm not going back. I'm not doing a visit.

491
00:25:46.119 --> 00:25:47.839
<v Speaker 2>So where's someplace you would never go back?

492
00:25:47.960 --> 00:25:53.839
<v Speaker 5>Pigeon Forge, Tennessee, the gateway to Dollywood and a multitude

493
00:25:54.039 --> 00:25:57.559
<v Speaker 5>of other tourist traps. I've never seen traffic so bad

494
00:25:58.000 --> 00:26:01.920
<v Speaker 5>and so many tourists per square foot. It's horrible and

495
00:26:02.000 --> 00:26:04.359
<v Speaker 5>you can't enjoy it. I don't know what people see

496
00:26:04.359 --> 00:26:08.680
<v Speaker 5>in that place, but it's just absolute congestion, beyond anything

497
00:26:08.799 --> 00:26:11.640
<v Speaker 5>LA traffic has ever seen. Wow, and worth hundreds of

498
00:26:11.640 --> 00:26:14.680
<v Speaker 5>miles of driving out of the way. It's not worth it,

499
00:26:14.880 --> 00:26:17.079
<v Speaker 5>and I will never return and avoid it at all cost.

500
00:26:17.200 --> 00:26:21.759
<v Speaker 1>All right, you guys ever been to Pigeon Forge? No? Okay,

501
00:26:21.799 --> 00:26:23.519
<v Speaker 1>good talk? Nope, nope?

502
00:26:23.839 --> 00:26:26.599
<v Speaker 2>Yeah, all right, So now not a glowing review. I

503
00:26:26.640 --> 00:26:28.119
<v Speaker 2>guess we don't go to Pigeon Forge.

504
00:26:28.799 --> 00:26:31.440
<v Speaker 1>Ever. After twenty nine years of living in California and

505
00:26:31.480 --> 00:26:35.839
<v Speaker 1>Huntington Beach, I said, I never moved back to Nashville, Tennessee,

506
00:26:35.920 --> 00:26:37.319
<v Speaker 1>where I grew up. Wow.

507
00:26:37.359 --> 00:26:40.240
<v Speaker 2>A couple of people for Tennessee today. A lot of

508
00:26:40.240 --> 00:26:41.200
<v Speaker 2>people don't like Tennessee.

509
00:26:41.680 --> 00:26:45.119
<v Speaker 1>All right, well guess where I I am? Oh, thank

510
00:26:45.160 --> 00:26:47.720
<v Speaker 1>you NYSA. Oh you made me break a promise.

511
00:26:47.960 --> 00:26:51.640
<v Speaker 2>Oh, Gavin Newsom made you big. Jerry Brown didn't make

512
00:26:51.640 --> 00:26:57.680
<v Speaker 2>you break that promise. It took the Newsom to do it. Okay, Larry,

513
00:26:59.519 --> 00:27:00.319
<v Speaker 2>all right, what else?

514
00:27:00.359 --> 00:27:03.880
<v Speaker 8>Good evening. I would never go back to Catalina, Ireland.

515
00:27:04.359 --> 00:27:07.359
<v Speaker 8>That was the most boringest place I've ever went to.

516
00:27:08.559 --> 00:27:11.440
<v Speaker 8>I have no desire to ever go back. Wow, Thank

517
00:27:11.480 --> 00:27:12.839
<v Speaker 8>you guys, have a great evening.

518
00:27:12.920 --> 00:27:13.559
<v Speaker 1>Thanks you too.

519
00:27:14.079 --> 00:27:16.000
<v Speaker 2>She's not going back to Catalina while she wasn't there

520
00:27:16.079 --> 00:27:20.359
<v Speaker 2>during the wine mixer. That's the big one, s all right.

521
00:27:20.519 --> 00:27:22.960
<v Speaker 1>Hey Chris, Hey, I thought it was kind of weird.

522
00:27:25.039 --> 00:27:28.720
<v Speaker 1>I totally agree with everything you're saying today. That is weird.

523
00:27:28.759 --> 00:27:31.839
<v Speaker 8>I guess the show is still got a lot left,

524
00:27:32.240 --> 00:27:34.000
<v Speaker 8>so we'll see what happens.

525
00:27:35.119 --> 00:27:39.200
<v Speaker 1>And look out, Angel Martinez. Here comes Lucy. Heell a,

526
00:27:40.160 --> 00:27:44.160
<v Speaker 1>Hi Kayla. Okay, that got creepy fast. Hi Steve, he

527
00:27:44.240 --> 00:27:51.079
<v Speaker 1>loves Hi Kayla. Hey Steve, Hi, Kayla, Steve, you got

528
00:27:51.119 --> 00:27:52.599
<v Speaker 1>a little thing with him? You have a little something

529
00:27:52.640 --> 00:27:55.839
<v Speaker 1>going on there Hi Kayla, Hi Steve. At the end

530
00:27:55.880 --> 00:27:58.400
<v Speaker 1>of the talk backs, he always gives me a personal message.

531
00:27:58.920 --> 00:28:00.519
<v Speaker 1>Yeahs always great. He's a good guy.

532
00:28:00.839 --> 00:28:03.119
<v Speaker 2>Okay, all right, it sounded a little creeper to me,

533
00:28:03.200 --> 00:28:04.640
<v Speaker 2>but if you're cool with it, then.

534
00:28:04.640 --> 00:28:14.279
<v Speaker 1>Hi Kayla, thank you. Jesus, that was brig me. That's

535
00:28:14.319 --> 00:28:18.440
<v Speaker 1>I'm gonna have nightmares. Thank you. Yeah, I don't blame Hey.

536
00:28:18.559 --> 00:28:20.720
<v Speaker 1>It's kind of weird. I agree with everything you said tonight.

537
00:28:20.799 --> 00:28:26.359
<v Speaker 1>So Hi Kayla, thank you. I was talking about the

538
00:28:26.400 --> 00:28:27.000
<v Speaker 1>AI here.

539
00:28:27.240 --> 00:28:29.640
<v Speaker 2>More than three quarters of Americans now want companies to

540
00:28:29.680 --> 00:28:32.119
<v Speaker 2>create AI slowly.

541
00:28:32.519 --> 00:28:33.799
<v Speaker 1>They say, slow it down.

542
00:28:34.480 --> 00:28:36.160
<v Speaker 2>Here to tell us more about it, is the story

543
00:28:36.240 --> 00:28:38.519
<v Speaker 2>read by AI Outstanding.

544
00:28:38.839 --> 00:28:42.000
<v Speaker 9>Most Americans want AI progress to slow down.

545
00:28:42.440 --> 00:28:47.359
<v Speaker 1>Now that sounds natural, doesn't it. All right, but then

546
00:28:47.359 --> 00:28:50.200
<v Speaker 1>there's kind of a giveaway when it comes to AI, which.

547
00:28:50.039 --> 00:28:52.279
<v Speaker 2>Is why I think that we are still it's still

548
00:28:52.319 --> 00:28:53.559
<v Speaker 2>not quite ready for prime time.

549
00:28:53.720 --> 00:28:56.079
<v Speaker 1>All right, here's what he said. Let's try this from

550
00:28:56.160 --> 00:28:57.160
<v Speaker 1>the beginning, from the top.

551
00:28:57.440 --> 00:29:01.759
<v Speaker 9>Most Americans want AI progress to slow down, poll finds.

552
00:29:03.640 --> 00:29:07.000
<v Speaker 1>Poll finds. Okay, all right, so we're reading.

553
00:29:06.759 --> 00:29:11.200
<v Speaker 9>This as tech giants race to develop AI. Seventy seven

554
00:29:11.240 --> 00:29:14.920
<v Speaker 9>percent of Americans say they prefer companies take their time

555
00:29:15.200 --> 00:29:19.160
<v Speaker 9>and get it right, even if it delays breakthroughs. According

556
00:29:19.200 --> 00:29:22.599
<v Speaker 9>to the twenty twenty five Axios Harris Poll one hundred,

557
00:29:23.480 --> 00:29:27.480
<v Speaker 9>only twenty three percent support rapid development at the risk

558
00:29:27.519 --> 00:29:32.599
<v Speaker 9>of mistakes. The causes sentiment spans generations from ninety one

559
00:29:32.720 --> 00:29:36.359
<v Speaker 9>percent of boomers to seventy four percent of gen Z.

560
00:29:36.839 --> 00:29:40.839
<v Speaker 2>Wow, even gen Z three quarters say let's let's pump

561
00:29:40.880 --> 00:29:44.319
<v Speaker 2>the brakes. But the concern is that China is going

562
00:29:44.359 --> 00:29:46.920
<v Speaker 2>to get ahead of us. Don't worry is if we're not.

563
00:29:46.880 --> 00:29:49.839
<v Speaker 1>Ahead of AI, China will get ahead of AI. And

564
00:29:49.880 --> 00:29:58.039
<v Speaker 1>then I then I mean, I mean, then.

565
00:30:00.039 --> 00:30:06.759
<v Speaker 2>Uh uh, they would, they would, they would, They would

566
00:30:06.759 --> 00:30:08.400
<v Speaker 2>be able to replace their workers first.

567
00:30:09.920 --> 00:30:14.119
<v Speaker 1>So I mean you got to win.

568
00:30:15.200 --> 00:30:19.160
<v Speaker 9>Despite pressure from CEOs and investors to lead in a

569
00:30:19.200 --> 00:30:22.599
<v Speaker 9>global AI race, the public remains skeptical.

570
00:30:22.920 --> 00:30:23.160
<v Speaker 1>Yeah.

571
00:30:23.319 --> 00:30:28.920
<v Speaker 9>Many fear job loss, misinformation, and irreversible early design flaws.

572
00:30:29.599 --> 00:30:33.799
<v Speaker 9>The poll suggests Americans have learned from past tech missteps

573
00:30:34.079 --> 00:30:37.279
<v Speaker 9>and want slower, more responsible innovation.

574
00:30:37.680 --> 00:30:41.240
<v Speaker 2>Yeah, and we're also in an exciting period with with AI.

575
00:30:41.759 --> 00:30:43.720
<v Speaker 2>Part of the reason that we were that were moving

576
00:30:43.759 --> 00:30:46.319
<v Speaker 2>so quickly is that it's exciting, it's new. We want

577
00:30:46.319 --> 00:30:49.640
<v Speaker 2>to see just how far this can take us? Right,

578
00:30:49.799 --> 00:30:53.400
<v Speaker 2>just how how much can we do with AI? It's

579
00:30:53.480 --> 00:30:56.839
<v Speaker 2>kind of exciting for for the kids these days, like

580
00:30:56.960 --> 00:31:02.960
<v Speaker 2>Kayla Kila. You probably we don't remember not having the internet,

581
00:31:03.279 --> 00:31:05.240
<v Speaker 2>do you you do?

582
00:31:05.519 --> 00:31:05.680
<v Speaker 4>Oh?

583
00:31:05.720 --> 00:31:08.720
<v Speaker 1>Okay, all right, all right, that's fun. Yeah.

584
00:31:09.119 --> 00:31:11.559
<v Speaker 2>So then you also then remember like the early days

585
00:31:11.559 --> 00:31:15.720
<v Speaker 2>where the web pages were really rudimentary compared to what

586
00:31:15.720 --> 00:31:19.000
<v Speaker 2>we have today, right, where it was angel Fire and

587
00:31:19.240 --> 00:31:20.000
<v Speaker 2>what was the other one?

588
00:31:20.160 --> 00:31:23.559
<v Speaker 1>Angel Fire was one of them, there was what was

589
00:31:23.599 --> 00:31:27.240
<v Speaker 1>the other? What was it?

590
00:31:28.440 --> 00:31:31.480
<v Speaker 2>Well? Earthlink was a provider, right, I'm just thinking of

591
00:31:31.480 --> 00:31:35.640
<v Speaker 2>the web page designers like Geo, geolinks or something and

592
00:31:35.799 --> 00:31:38.160
<v Speaker 2>angel Fire and you could make your own website. Right,

593
00:31:39.119 --> 00:31:42.160
<v Speaker 2>So why are we so afraid of AI? Because ultimately

594
00:31:42.200 --> 00:31:44.960
<v Speaker 2>when we say slow down, it's because we're worried about something.

595
00:31:45.039 --> 00:31:47.079
<v Speaker 1>Right. One of the things that motivate is fear and greed.

596
00:31:47.559 --> 00:31:49.720
<v Speaker 2>And so you've got some people that say, boy, I

597
00:31:49.759 --> 00:31:51.519
<v Speaker 2>want to see how far this can go. I want

598
00:31:51.559 --> 00:31:53.039
<v Speaker 2>to see what AI can do. I just want to

599
00:31:53.079 --> 00:31:55.880
<v Speaker 2>see how prosperous we can be with AI. Right, that's

600
00:31:55.880 --> 00:31:59.680
<v Speaker 2>the greed. But what what what we what causes us

601
00:31:59.680 --> 00:32:01.720
<v Speaker 2>to say, slow it down, let's exercise some caution.

602
00:32:02.480 --> 00:32:03.519
<v Speaker 1>Is the fear side of us.

603
00:32:04.039 --> 00:32:06.440
<v Speaker 2>And that's that's a that's a basic emotion that is

604
00:32:06.480 --> 00:32:10.200
<v Speaker 2>a survival mechanism, the fear, all right, And we have

605
00:32:10.240 --> 00:32:12.839
<v Speaker 2>a lack of understanding when it comes to AI. We

606
00:32:12.960 --> 00:32:15.599
<v Speaker 2>don't know what it's capable of, good or bad, and

607
00:32:15.640 --> 00:32:18.319
<v Speaker 2>the unknown is scary. And most of us don't understand AI.

608
00:32:18.359 --> 00:32:20.720
<v Speaker 2>We don't understand the limitations, we don't understand the abilities,

609
00:32:20.759 --> 00:32:21.960
<v Speaker 2>we don't even understand.

610
00:32:21.559 --> 00:32:22.359
<v Speaker 1>How it works.

611
00:32:23.039 --> 00:32:24.759
<v Speaker 2>And I was reading some more on that today too,

612
00:32:24.880 --> 00:32:28.400
<v Speaker 2>and a lot of it is basically just predictive, right

613
00:32:28.720 --> 00:32:30.160
<v Speaker 2>in the same way that you might be using a

614
00:32:30.319 --> 00:32:31.839
<v Speaker 2>you might be sending a text it, or you might

615
00:32:31.880 --> 00:32:34.119
<v Speaker 2>be writing an email, and all of a sudden, your

616
00:32:34.559 --> 00:32:36.960
<v Speaker 2>your your Outlook or your Gmail starts to try to

617
00:32:36.960 --> 00:32:39.960
<v Speaker 2>predict what the next word would be, Right, That's kind

618
00:32:39.960 --> 00:32:42.039
<v Speaker 2>of how AI works, but just on a grant, like

619
00:32:42.079 --> 00:32:44.680
<v Speaker 2>what's the most likely answer based on what the next

620
00:32:44.680 --> 00:32:46.240
<v Speaker 2>word would be? And if this is the most likely

621
00:32:46.279 --> 00:32:48.559
<v Speaker 2>next word, what would the next most likely word be?

622
00:32:48.559 --> 00:32:50.000
<v Speaker 2>And that kind of thing, And that's kind of how

623
00:32:50.000 --> 00:32:55.599
<v Speaker 2>AI builds. It's uh, it's responses. But we have a

624
00:32:55.680 --> 00:32:59.720
<v Speaker 2>lack of understanding and that leads us to worry about

625
00:32:59.799 --> 00:33:03.880
<v Speaker 2>word case scenarios. I mean, it's the same reason that

626
00:33:03.920 --> 00:33:08.759
<v Speaker 2>we don't know. You know, before we had telescopes, we

627
00:33:08.799 --> 00:33:13.599
<v Speaker 2>didn't know what was in the stars, and then we

628
00:33:13.599 --> 00:33:16.839
<v Speaker 2>were worried about what could come and destroy us. We

629
00:33:16.880 --> 00:33:19.799
<v Speaker 2>don't know what is in outer space. We don't know

630
00:33:19.839 --> 00:33:22.160
<v Speaker 2>if there are other life forms, which makes for great

631
00:33:22.240 --> 00:33:24.480
<v Speaker 2>Hollywood movies where you've got.

632
00:33:24.400 --> 00:33:26.039
<v Speaker 1>The war of the World or some sort of an

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00:33:26.079 --> 00:33:28.039
<v Speaker 1>alien invasion Independence Day.

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<v Speaker 2>We worry because we don't know, and the fear comes

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00:33:34.440 --> 00:33:38.799
<v Speaker 2>from that blindness that we have. And then we get

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00:33:38.839 --> 00:33:41.920
<v Speaker 2>bad news headlines, right. We get the headlines about the

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00:33:41.960 --> 00:33:45.640
<v Speaker 2>hallucinations of AI. We get the headlines about kids using

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00:33:45.680 --> 00:33:49.240
<v Speaker 2>AI to cheat all over the place. We get warnings

639
00:33:49.240 --> 00:33:53.920
<v Speaker 2>from insiders like the gentleman from Anthropic who says this

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00:33:53.960 --> 00:33:55.720
<v Speaker 2>is going to create a bunch of layoffs. We're gonna

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00:33:55.720 --> 00:34:00.759
<v Speaker 2>see high unemployment, right, and we also be honest, we've

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00:34:00.799 --> 00:34:03.200
<v Speaker 2>had bad experiences with some previous tech. It's like all

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00:34:03.200 --> 00:34:05.599
<v Speaker 2>the spam mail that you've been getting, and I've just

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<v Speaker 2>been getting some more.

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00:34:06.319 --> 00:34:06.920
<v Speaker 1>In fact, here.

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<v Speaker 2>I've got a new one how to spot phishing emails.

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<v Speaker 2>Now that EI is cleaned, AI excuse me has cleaned

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<v Speaker 2>up the typos, which means AI will be used by

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<v Speaker 2>bad actors. And nowadays it doesn't feel like everybody's trying

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<v Speaker 2>to take advantage of you, right, They're all trying to

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00:34:20.599 --> 00:34:24.639
<v Speaker 2>steal your information or your money. We're getting incessant spam

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00:34:24.719 --> 00:34:28.599
<v Speaker 2>and fraudulent emails, and we see how that tech is

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<v Speaker 2>being used for evil, and AI will make that worse.

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<v Speaker 2>Bad actors will use AI to try to take advantage

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<v Speaker 2>of you, but AI may also help you identify those

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<v Speaker 2>threats more quickly. Chris Merril k I AM six forty.

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<v Speaker 2>We're live everywhere in the iHeartRadio app, KFI AM six

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<v Speaker 2>forty on demand