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Speaker 1: Broadcasting live from the Abraham Lincoln Radio Studio the George

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Speaker 1: Washington Broadcast Center. Jack Armstrong and Joe Getty I'm strong

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Speaker 1: and Jetty and he arm Strong and Jetty.

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Speaker 2: New protests in the Twin Cities after the second iisenvol

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Speaker 2: shooting in Minneapolis in the week, and now President Trump

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Speaker 2: is threatening to send in military troops.

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Speaker 1: Overnight, an ICE.

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Speaker 2: Agent shot and wounded Venezuelan national Julio s Sad Sosa Silis.

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Speaker 2: Homeland Security officials say Salise fled to a nearby home

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Speaker 2: during a targeted traffic stop, and during the struggle, two

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Speaker 2: men came out of the home and attacked the agent

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Speaker 2: with a shovel and a broom handle. All three men

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Speaker 2: are now in custody.

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Speaker 3: Yeah, all three men are illegals with criminal records. Is

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Speaker 3: the reporting from dhs uh to present this as everybody's

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Speaker 3: doing yet another shooting there? I mean, there's such apples

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Speaker 3: and oranges situations.

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Speaker 4: Oh yeah, yeah, yeah, that's again. I would like to

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Speaker 4: be so incredibly dishonest.

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Speaker 3: I want everybody on the record in Minneapolis, are you

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Speaker 3: okay with not arresting people here are legally with criminal records?

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Speaker 1: You don't want them arrested.

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Speaker 3: You just want them to live in your community, right,

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Speaker 3: nobody wants that, They just pretend. And again, the dedicated

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Speaker 3: Marxists want to overload the system, they want to break it.

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Speaker 1: It's the soft headed.

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Speaker 4: Suburban white people who buy the Marxist lies who are

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Speaker 4: the problem, the useful idiots. You know.

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Speaker 1: The other part of the narrative that just occurred to

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Speaker 1: me that the.

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Speaker 4: Left always they act as if everybody's got a criminal record.

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Speaker 4: I mean, it's nothing, there's nothing notable about it. How

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Speaker 4: many of you folks have criminal records? Some of you do,

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Speaker 4: You've made mistakes, you had a wild period in your life, whatever,

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Speaker 4: not nobody, but a hell of a lot of us

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Speaker 4: have lived in this country for many decades. Like zero

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Speaker 4: criminal record, it's notable. If somebody has an actual criminal record.

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Speaker 3: Well, and the federal law is they shouldn't be here

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Speaker 3: just period, and then with a criminal record, definitely not.

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Speaker 1: They're a priority for deportation. Yeah.

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Speaker 3: Right, And so you want the laws to be different, Okay,

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Speaker 3: so don't enforce the federal law, to which I always say,

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Speaker 3: what other federal laws should be not enforced? Do I

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Speaker 3: get to choose some there's a bunch of gun laws.

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Speaker 3: I'd like to not enforce all kinds of tax laws.

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Speaker 3: I'd like to not enforce sodomy laws.

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Speaker 1: Goes without saying.

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Speaker 3: And if people can handle an end as opposed to

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Speaker 3: a butt or or or something, and you know, we

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Speaker 3: have to hold our law enforcement to certain standards and

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Speaker 3: all that sort of stuff, and certainly they can go

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Speaker 3: too far and all those things can happen. But are

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Speaker 3: you just come flat out coming out on the side

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Speaker 3: of no, no, no, no. People here illegally with criminal

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Speaker 3: records should get this. Oh and if you beat down

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Speaker 3: a police officer, you should just get to beat them

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Speaker 3: to death and go back in your house.

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Speaker 4: Is that your stance because you don't like Trump and

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Speaker 4: you think Ice is overreaching?

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Speaker 1: Okay, may Or.

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Speaker 3: Fry is getting a lot of attention. He said a

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Speaker 3: couple of things a yesterday that were interesting the mayor

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Speaker 3: of Minneapolis.

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Speaker 1: Here we go.

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Speaker 5: Imagine if that city or that town was suddenly invaded

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Speaker 5: by thousands of federal agents that do not share the

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Speaker 5: values that you hold. Dear, imagine if your daily routines

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Speaker 5: were disrupted, the local cafe that you eat at was

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Speaker 5: shut down because they're scared that their own family might

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Speaker 5: get torn apart. Imagine if schools shut down and suddenly

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Speaker 5: parents got to figure out what to do for daycare.

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Speaker 3: Did you think this threw this little screed, I feel

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Speaker 3: like you want that one back.

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Speaker 4: That was throwing a flag. That was too perfect, Jack,

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Speaker 4: I'll give you the honest It was almost.

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Speaker 1: Like I rote it.

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Speaker 3: Imagine your town being in by people who don't share

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Speaker 3: your values, culture and where you're laying thousands and thousands

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Speaker 3: of illegals. Imagine your schools being disrupted. Yeah, they have

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Speaker 3: like a third of the people in the classroom in

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Speaker 3: some cities don't speak English and the teachers don't know

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Speaker 3: how to do with it. Your hospitals, yeah, they can't

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Speaker 3: function because you got all these illegals here who don't

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Speaker 3: have health insurance. And yeah, you just spelled out why

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Speaker 3: people hate illegal immigrations so much.

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Speaker 1: That was too much. It was too much.

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Speaker 3: Your cafe, Yeah, the restaurant I used to like is

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Speaker 3: now a food that that's different than mine, which is

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Speaker 3: not a crime.

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Speaker 1: But or closed because of the crime. Crime. But I

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Speaker 1: liked it the way it was before.

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Speaker 3: And yeah, that's that's really quite amazing. And this one,

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Speaker 3: so this one's got a visual to it, which I

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Speaker 3: haven't seen.

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Speaker 1: Oh, yeah I have, and it's delicious.

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Speaker 4: Why do let's play it once and then we'll oh,

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Speaker 4: this is a longer version of it. Oh, go ahead

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Speaker 4: and play at Michael.

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Speaker 5: And we're in a position right now where we have

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Speaker 5: residents that are asking the very limited number of police

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Speaker 5: officers that we have to fight ICE agents on the

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Speaker 5: street to stand by their neighbors. We cannot be at

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Speaker 5: a place right now in America where we have two

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Speaker 5: governmental entities that are literally fighting one another.

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Speaker 1: That's true, Oh, that's absolutely true.

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Speaker 4: So the visual is that when sixteen year old Mayor

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Speaker 4: of Minneapolis, Jacob Prime, guessing at his age based on

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Speaker 4: his capacity for logic and his emotionalism with.

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Speaker 3: The perfect cow harlick, that he puts just the right

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Speaker 3: product into get just right in front of his fairhead

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Speaker 3: and kind of tussle haired exactly.

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Speaker 4: Well, American boyish appearance matters to sixteen year old boys anyway.

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Speaker 4: So as he is describing we have many residents asking

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Speaker 4: the police to fight ICE. The police chief is behind him,

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Speaker 4: and when he says that, the chief's eyebrows go up

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Speaker 4: in an absolutely unmistakable wait, what the.

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Speaker 1: F did you just say it's madness.

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Speaker 3: I was talking this morning about how I feel like

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Speaker 3: we've lost the thread, and certainly the media coverage has

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Speaker 3: and I wish we could get to a place of

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Speaker 3: perfectly fine with looking at every interaction with Ice, whether

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Speaker 3: or not that was appropriate. Did they make American American

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Speaker 3: citizens do things that American citizens normally don't like to

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Speaker 3: have to do at the point of law enforcement. Sure,

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Speaker 3: Like I'm walking down the street and I got to

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Speaker 3: show you my idea why I live here.

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Speaker 1: I've always lived here at Bay Tax leave me alone.

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Speaker 3: Or you know, And that actually put me on the

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Speaker 3: ground because I don't know my driver's license to me.

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Speaker 1: But I'm willing to look at that.

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Speaker 3: But have we lost the thread of we have something

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Speaker 3: called immigrations and you know, custom and whatever it is enforcement.

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Speaker 1: We have laws around immigration.

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Speaker 3: We have people who are illegally, we have people who

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Speaker 3: are legally of committed crimes. All that stuff's gonna happen

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Speaker 3: unless you're going to change the laws. Yeah, presented my

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Speaker 3: point is it being presented in the news. Is this

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Speaker 3: whole thing is awful, every bit of it.

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Speaker 1: Yeah.

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Speaker 4: Why I agree with you on this is like three

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Speaker 4: topics or segments in a row in which we have

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Speaker 4: laid out elegantly, in my opinion, the simple inescapable logical reality. Well,

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Speaker 4: the people on the left reject simple logical reality, which

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Speaker 4: is why I was making fun of Jacob Fry and

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Speaker 4: his emotionalism. They see it through the lens of emotion

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Speaker 4: and feeling, and all they know is this makes me

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Speaker 4: feel bad. And you explain why, Yeah, okay, I get that.

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Speaker 1: But this is true.

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Speaker 4: This is true, this is true, and so really your

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Speaker 4: recourse is this, and they respond with, well, all I

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Speaker 4: know is it makes me feel bad, and you've gotten nowhere.

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Speaker 4: Your logic is wasted. Where does that leave us as

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Speaker 4: a society. I think the difference is, and this this

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Speaker 4: is probably under discussed. For most of the history of

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Speaker 4: our country, the trade of journalism was a working class

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Speaker 4: shoe leather. You start at the bottom, lost pets, police, blotterer,

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Speaker 4: and you work your way up to reporting on the

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Speaker 4: council meeting. And then if you show yourself to be really,

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Speaker 4: really good, after you've taken in all sorts of life experience,

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Speaker 4: You've seen crime, you've seen criminals, you've been in jails,

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Speaker 4: you've talked to the cops, you've been to the council meetings.

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Speaker 4: You've been to the poor neighborhoods where the people get

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Speaker 4: the benefits. You have an enormous amount of life experience.

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Speaker 4: You are promoted to the heights, You become a columnist

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Speaker 4: and national writer, you cover the White House, that sort

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Speaker 4: of thing.

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Speaker 1: Now, you come.

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Speaker 4: Out of these elite far left journalism schools as a

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Speaker 4: twenty three year old, rich white kid, and you start

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Speaker 4: telling the world how the world ought to be and

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Speaker 4: describing the world as you see it as a barely

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Speaker 4: out of your adolescence coddled kid. And those are our journalists,

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Speaker 4: and that has that is a lens that has distorted

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Speaker 4: so many people's view of America. And we're now far

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Speaker 4: enough into that little experiment. We're seeing it on the

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Speaker 4: streets in Minneapolis, for instance. People just are not tethered

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Speaker 4: to reality.

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Speaker 3: So an incident occurred the other day that we haven't

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Speaker 3: talked about yet.

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Speaker 1: Here's the outline of it.

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Speaker 4: Somebody transcra oh go ahead, sorry, I didn't know where

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Speaker 4: we're starting service. Somebody needs to transcribe that and offer

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Speaker 4: that to some publication. I'm too lazy to type up,

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Speaker 4: but that was a pretty decent editorial if I do

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Speaker 4: say so, If anybody has the time.

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Speaker 1: Jem back to you. That's funny. Yeah, we haven't touched

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Speaker 1: on this story.

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Speaker 6: The FBI now offering a hundred thousand dollars reward for

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Speaker 6: info leading to the recovery of stolen government property after

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Speaker 6: hundreds protested where a Venezuelan migrant was shot by an

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Speaker 6: ICE officer who had been attacked.

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Speaker 1: Now Attorney General.

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Speaker 6: Pam Bondy says that a known Latin Kings that gained

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Speaker 6: member was arrested after he allegedly was one of those

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Speaker 6: people who stole FBI weaponry and documents during that incident.

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Speaker 3: Weaponry and documents. So we got this text. You guys

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Speaker 3: going to talk about the protesters pulling out the safe

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Speaker 3: in the back of an ICE vehicle. Yeah, they attacked

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Speaker 3: and overwhelmed an ICE vehicle, got the safe out of it,

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Speaker 3: broke it open, getting guns inside along with a whole

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Speaker 3: bunch of documents.

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Speaker 4: That's an actual insurrection, by the way. Yeah, and it's

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Speaker 4: a gang, the Latin Kings. Well, and I would like

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Speaker 4: to ask putting aside the crime and then let's get

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Speaker 4: right back to it.

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Speaker 1: But I would like to ask those protesters.

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Speaker 4: Are you against violent, criminal illegal immigrants being arrested.

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Speaker 1: But again, that's simple logic.

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Speaker 3: There known gangs that exist in the United States with.

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Speaker 4: Illegals, and I already have a criminal record that victimize

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Speaker 4: both citizens and immigrants. You're against the arrest of those people.

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Speaker 4: Tell me more, well, Trump is a fascist. Again, you

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Speaker 4: can't get anywhere with these people.

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Speaker 3: Wow, they were able to get control of an ice vehicle.

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Speaker 3: I mean, you're the protesters are winning that battle. If

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Speaker 3: they actually are able to get to a vehicle, break

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Speaker 3: into it, and then break you up in the safe

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Speaker 3: I don't know how long that would take, but and

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Speaker 3: then get guns and documents. Wow, that is quite the story.

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Speaker 3: I feel like that's being underreported, maybe because there's kind

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Speaker 3: of hard to fit that in with anything.

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Speaker 1: That you know you're cheering for, right right.

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Speaker 3: Yeah, and a criminal gang from Venezuela is now got

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Speaker 3: FBI guns and documents.

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Speaker 1: Yeah, you had.

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Speaker 4: The underreporting of that gets right back to my premise.

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Speaker 4: That is outrageous and the just the fact of the

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Speaker 4: case is troubling. I find myself wondering, are we have

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Speaker 4: we has the madness peaked in Minneapolis?

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Speaker 1: I sure are?

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Speaker 4: Are the mayor Fry the aforementioned sixteen year old boy,

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Speaker 4: and Stephen Miller, the White House advisor, who look, and

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Speaker 4: I'm in favor of a lot of stuff Trump does,

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Speaker 4: including to some extent the immigration crackdown, you know, mostly,

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Speaker 4: but Miller wants a crisis.

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Speaker 1: He wants to impose martial law. He's of that sort,

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Speaker 1: and I don't want that at all.

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Speaker 4: So will those sides who are pouring gasoline on the

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Speaker 4: situation prevail or will cooler heads?

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Speaker 3: So the Christina Christino is it Christie or Christy Christie

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Speaker 3: currently says that US citizens may have to show their

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Speaker 3: identification to verify that they belong here, and some former

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Speaker 3: Obama aide said that is a police state. I'm I'm

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Speaker 3: all for discussing that sort of stuff, but still, you

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Speaker 3: got to come down to it at the very end of

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Speaker 3: the day. Are we all on board here that illegals

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Speaker 3: with criminal records, especially in criminal gangs, should go ahead

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Speaker 3: and be apprehended and.

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Speaker 1: Kicked out of the country? Are all right?

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Speaker 4: Why don't we just go through these questions one by one.

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Speaker 4: I think that would be productive. And by the way, Michael,

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Speaker 4: do you hear what they're calling Christy nome Well? Heist

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Speaker 4: Ice Barbie, that's pretty good. It's pretty good. Yeah, that's

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Speaker 4: pretty good as as shots go, it's pretty good. One.

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Speaker 3: AI's making a psychotic among other things.

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Speaker 1: On the way stay here.

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Speaker 3: Just came across a great story we'll get to later

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Speaker 3: in the hour of how recycling programs are so often

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Speaker 3: just bunk, they're just.

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Speaker 1: A complete charade.

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Speaker 3: Yep, it's funny, it is it is it really, it's

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Speaker 3: funny and troubling at the same time. But more on

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Speaker 3: that later. If you're putting your plastics in the blue

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Speaker 3: bind like you're supposed to.

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Speaker 1: Two stories very quickly, one of significance, one not really. Uh.

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Speaker 4: The numbers are in for Obamacare's annual open enrollment and

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Speaker 4: the number of people who could not sign up because

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Speaker 4: of the expiration of those additional COVID benefits. Remember the

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Speaker 4: Republicans were going to rip healthcare out of the hands

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Speaker 4: of dying grandmothers and their their grand babies, and there

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Speaker 4: was going to be a drop of seven and a

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Speaker 4: half million people.

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Speaker 1: Well, the drop was less than a fifth of what

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Speaker 1: was predicted. Then A wow, that hasn't gotten much attention.

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Speaker 4: No, that's funny, isn't it? How weird? Anyway? And they

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Speaker 4: also point out in the journal that the.

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Speaker 3: So yeah, all the media exaggerated and fivefold the damage

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Speaker 3: just was going to do.

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Speaker 4: Oh yeah, and even the CBO was way the hell off.

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Speaker 4: They weren't as far off as like the Democrats were.

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Speaker 4: And they point out that one reason forecast may have

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Speaker 4: missed the mark is that they overlooked the most the

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Speaker 4: fact that most enrollees still won't I have to pay

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Speaker 4: all that much for the plans. If you are at

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Speaker 4: one hundred and fifty percent of the poverty line, you're

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Speaker 4: gonna pay fourteen dollars a week. Okay, so it's not

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Speaker 4: near the amount of money, and it's a fift as

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Speaker 4: many people.

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Speaker 1: Other than that, pretty good discussion.

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Speaker 4: Yeah, so this one is apropos of nothing, but kind

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Speaker 4: of hilarious. You know Larry Ellison, the Oracle, co founder, zillionaire,

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Speaker 4: blah blah blah. Well, he's one of those guys who

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Speaker 4: likes to have a super giant yacht, and he's got

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Speaker 4: a brand new German yacht.

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Speaker 1: Looks really sexy if you like boats.

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Speaker 4: But he decided that it would be cool to name

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Speaker 4: it after the Japanese Shinto goddess of creation and death.

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Speaker 4: I'm not gonna have a goddess a death name for

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Speaker 4: my boat. Just seems like a bad omen, but he

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Speaker 4: thought that would be really interesting, and so he named

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Speaker 4: it is Anami, which is the goddess's name, until he

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Speaker 4: literally saw the name reflected and he realized it spells

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Speaker 4: perfectly backwards. I'm a Nazi, And apparently he didn't want

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Speaker 4: a boat named backward.

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Speaker 1: I'm a Nazi.

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Speaker 3: I must not be materialistic enough. I look at stuff

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Speaker 3: like that, and I think that boat would be fun

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Speaker 3: for a couple hours.

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Speaker 1: And that that's about all he would get out of me. Yeah, wepe,

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Speaker 1: do he do? Well? You don't like boating?

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Speaker 3: But do I mean, now, give me any example of

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Speaker 3: something super gazillionaires I have? And I think you know,

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Speaker 3: the compound house with the what what all right whatever?

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Speaker 1: If you enjoy it, you enjoy it.

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Speaker 4: I guess well, teach, though, I think you know what

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Speaker 4: you're missing is you have so much money that if

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Speaker 4: you would enjoy this yacht once a month, you got

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Speaker 4: so much money, you might as well.

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Speaker 3: You got it there available for you a couple of

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Speaker 3: times this summer.

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Speaker 1: There you go.

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Speaker 4: Yeah, yeah, anyway, a nice looking yacht. Anyway, he's got

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Speaker 4: he's got extensive ties to Israel, by the way, and

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Speaker 4: he has warm feelings to the nation of Israel, so

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Speaker 4: he especially wasn't interested in the Nazi moniker. So AI

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Speaker 4: is making a psychotic huh. Han't gotten me yet, but

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Speaker 4: working on it.

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Speaker 3: If you're of normal brain, you're okay. But if you

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Speaker 3: lean towards psychosis, AI is making it much worse. It's

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Speaker 3: pretty interesting.

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Speaker 4: Armstrong and Getty.

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Speaker 7: Oscar winning actor Matthew McConaughey taking a stand against anyone

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Speaker 7: planning to use AI to recreate his image, likeness, and

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Speaker 7: voice without his permission.

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Speaker 2: Ah right, alright, alright.

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Speaker 7: The Hollywood star trademarking himself and his iconic catchphrase in

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Speaker 7: the nineteen ninety three cult classic Dazed and Confused. Seven

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Speaker 7: other trademarks also secured, the actor, telling the Wall Street Journal,

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Speaker 7: I want to know that when my voice or likeness

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Speaker 7: is ever used, it's because I approved and signed off

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Speaker 7: on it.

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Speaker 3: Sure, yeah, I can see how that you could you

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Speaker 3: can enforce that somebody making money off of you and

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Speaker 3: you're saying or whatever, But people just voice, but people

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Speaker 3: just doing it for you know. I make a Matthew

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Speaker 3: Konahey video to send to Joe because it's funny.

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Speaker 1: There's nothing you can do about that. No, you're not, no, really.

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Speaker 3: Well, or just you know, just one going around the

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Speaker 3: internet where you have him saying something ridiculous and millions

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Speaker 3: of people who have seen it, as long as not

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Speaker 3: a particular person's profiting from. I don't know how you'd

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Speaker 3: stop it. Yeah, you probably wouldn't have to.

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Speaker 4: You know, you're getting into copyright law and fair use

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Speaker 4: and that sort of stuff. There are examples of when

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Speaker 4: you would and when you wouldn't.

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Speaker 3: Anyway, the whole AI thing is bananas, as we all know,

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Speaker 3: and we have no idea where it's going in all

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Speaker 3: these different sort of stuff. That's speaking of bananas. Banana

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Speaker 3: is kind of a term for crazy. We throw around

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Speaker 3: terms like crazy and psychotic and psychosis and stuff regularly.

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Speaker 3: We all do, without necessarily meaning the diction, different dictionary definition.

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Speaker 1: Or medical definition of these things. Right, Oh, you're crazy.

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Speaker 3: If you say to some of you're crazy, you're psychotic,

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Speaker 3: you don't mean they're having a psychotic episode and probably

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Speaker 3: should be in the care of a physician.

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Speaker 4: Right, it's a whimsical way to say you're disconnected with reality.

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Speaker 3: Well, right, that's what psychosis is. Psychosis involves a loss

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Speaker 3: of contact with shared reality. That's the definition. So what's

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Speaker 3: shared reality? That's what most of us believe, is that

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Speaker 3: what that means? Yeah, yeah, well most of humanity thinks

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Speaker 3: is happening, and you think of something is happening completely different.

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Speaker 1: You're into psychosis. Yeah.

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Speaker 4: I always heard it described as neurosis. A term they

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Speaker 4: used to use is when you misinterpret reality. Psychosis is

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Speaker 4: when you can't even perceive it.

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Speaker 3: Wow, I'm just trying to think of some people I

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Speaker 3: know are pretty down the whole conspirat conspiracy theory world.

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Speaker 3: Are you into psychosis? If you're the I don't know

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Speaker 3: what percent of the population buys into some of these things,

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Speaker 3: whether it's chemtrails or cannas, owns or whatever.

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Speaker 1: Are you into psychosis there? Yeah?

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Speaker 4: Yeah, interesting question. You get far enough down the line,

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Speaker 4: you gotta be close.

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Speaker 3: Anyway, A certain number of people have this situation, and

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Speaker 3: it's always been tough to deal with the delusions of psychosis.

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Speaker 3: I'm reading from this studyfines dot org, which has got

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Speaker 3: a new paper out about AI psychosis being a particular thing.

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Speaker 3: The delusions of psychosis often draw on cultural, material, religion, technology,

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Speaker 3: or political power structures to make sense of internal experiences.

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Speaker 3: So you got kind of a psychosis thing going, and

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Speaker 3: you grab onto a chemtrail theory or the Rothchild family

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Speaker 3: running the world or whatever it is to make sense

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Speaker 3: of your world. Yeah, why am I hearing voices?

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Speaker 4: It's because the government has put a tag in my

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Speaker 4: underwear that they broadcast to me through anyway.

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Speaker 3: AI psy psychosis is not yet a formal psychiatric diagnosis.

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Speaker 1: It's not in the DSM, but it may be soon.

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Speaker 3: It's an emerging shorthand used by clinicians and researchers to

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Speaker 3: describe psychotic symptoms that are shaped, intensified, or structured around

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Speaker 3: interactions with AI systems and.

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Speaker 1: What it says here.

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Speaker 3: And I believe it's almost certainly true that people who

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Speaker 3: who have that tendency are really susceptible to these AI

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Speaker 3: chat bots and starting to interact with them like they're

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Speaker 3: like they're people. Yeah, if you've done any interacting with

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Speaker 3: the chatbot, it is difficult to not refer to it

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Speaker 3: as a hammer or.

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Speaker 1: Her, or even if you don't refer to it, to

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Speaker 1: think of it.

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Speaker 4: I told Jack the other day off the air that

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Speaker 4: I was having it was chat GPT do something that

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Speaker 4: was fairly long, and I realized I was feeling guilty

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Speaker 4: about asking it to do something that big.

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Speaker 1: And that's at you idiots. I know. Here's my example,

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Speaker 1: Captain rational, come along.

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Speaker 3: My example of that is I get concerned when my

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Speaker 3: kids are jerking around my my groc chat bot in

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Speaker 3: my truck. You have groc in the Tesla's and I

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Speaker 3: use rock for lots of different things, and then my kid,

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Speaker 3: well kids will say something really inappropriate to say to

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Speaker 3: a woman, my teenagers.

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Speaker 1: Shocking that teenage boys do that, and I'm like, I'm comfortable.

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Speaker 3: It's like, don't talk to her that way.

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Speaker 1: Yeah, I kind of get that.

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Speaker 4: You don't want to see your kids modeling behavior you

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Speaker 4: don't approve of.

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Speaker 3: Toward a computer. What if they said something really mean

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Speaker 3: to a mouse. I don't mean the road, I mean

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Speaker 3: the computer mouse. Would you be worried you shouldn't.

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Speaker 1: Talk that way? It's the same sort of thing, yes, Katie.

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Speaker 8: I'm just pondering the idea of you telling them don't

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Speaker 8: talk to her like.

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Speaker 1: Well, right, exactly, me saying her is weird.

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Speaker 3: Me feeling uncomfortable with the things they say in the

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Speaker 3: car because she heard it that's weird.

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Speaker 1: Well, okay, I'm intrigued by this.

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Speaker 4: I'm not arguing. I'm just I want to I want

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Speaker 4: to roll it around and look at it a little bit.

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Speaker 4: So they're arguably saying things to a female voice that

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Speaker 4: you would never want to be said to a fe

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Speaker 4: male human. Okay, a female sounding voice, right, And so

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Speaker 4: I get why that would make you feel uncomfortable.

443
00:23:06,600 --> 00:23:08,480
Speaker 3: Should I may be able to make the leap very

444
00:23:08,560 --> 00:23:11,320
Speaker 3: quickly that this is not a female of any kind.

445
00:23:11,760 --> 00:23:13,320
Speaker 4: Right, But what if I were to say, and this

446
00:23:13,400 --> 00:23:15,720
Speaker 4: is an extreme example, but we can go from here,

447
00:23:15,920 --> 00:23:18,679
Speaker 4: what if I were to say to my robot helper,

448
00:23:19,119 --> 00:23:21,960
Speaker 4: I'd like to slit your throat and watch your hydraulic

449
00:23:22,040 --> 00:23:27,600
Speaker 4: fluid run out. It's a robot, it's got no feelings.

450
00:23:29,680 --> 00:23:32,680
Speaker 4: But if my kids said that, I'd be a little concerned.

451
00:23:34,000 --> 00:23:35,720
Speaker 3: Well, what if they're old enough to be teenagers and

452
00:23:35,720 --> 00:23:37,560
Speaker 3: there you know they're just kidding, like you're kidding.

453
00:23:37,720 --> 00:23:39,840
Speaker 1: Well, that's that's why I would be a little concerned.

454
00:23:39,840 --> 00:23:42,000
Speaker 4: And I didn't say I would have them kidnapped into

455
00:23:42,040 --> 00:23:44,720
Speaker 4: some sort of you know, work camp where they get

456
00:23:44,720 --> 00:23:47,399
Speaker 4: re educated. I would just say, hey, that's that was

457
00:23:47,440 --> 00:23:48,600
Speaker 4: a little brutal sounding.

458
00:23:49,440 --> 00:23:53,520
Speaker 3: You just regularly referred to your robot like you stupid

459
00:23:53,560 --> 00:23:54,440
Speaker 3: affing robot.

460
00:23:55,840 --> 00:23:57,119
Speaker 1: Does it make you a bad person?

461
00:23:59,760 --> 00:24:03,000
Speaker 4: You're expressing something, you're letting something out. But I would

462
00:24:03,040 --> 00:24:05,679
Speaker 4: have to hear. I actually, I think the idea of

463
00:24:05,840 --> 00:24:08,960
Speaker 4: your son's doing what they're doing is hilarious. I'm just

464
00:24:09,040 --> 00:24:11,960
Speaker 4: I'm kind of interested in a you know, is there

465
00:24:12,040 --> 00:24:12,440
Speaker 4: room for it?

466
00:24:12,920 --> 00:24:16,560
Speaker 1: And how did a young teenage Joe not have done that? Oh?

467
00:24:16,680 --> 00:24:17,920
Speaker 1: Please all day long.

468
00:24:18,240 --> 00:24:20,480
Speaker 4: I wouldn't have done it in front of my dad probably,

469
00:24:21,880 --> 00:24:24,040
Speaker 4: but oh my friends and I, oh, we would have

470
00:24:24,040 --> 00:24:24,600
Speaker 4: been horrifying.

471
00:24:25,040 --> 00:24:27,119
Speaker 1: If Jack, do you make them apologize to her? You

472
00:24:27,160 --> 00:24:31,480
Speaker 1: apologize to her right now? Oh beautiful.

473
00:24:32,760 --> 00:24:36,760
Speaker 4: I get pictured it happening, and it's hilarious.

474
00:24:36,800 --> 00:24:39,240
Speaker 1: It's so weird as you your stupid.

475
00:24:38,840 --> 00:24:46,760
Speaker 3: B Like last night, we're driving my son and I

476
00:24:46,800 --> 00:24:49,440
Speaker 3: are driving to the Sonic, so we're trying to slip

477
00:24:49,480 --> 00:24:51,439
Speaker 3: in a meal before a big meeting at the school,

478
00:24:51,440 --> 00:24:53,399
Speaker 3: and the day had gotten on a hand, and we

479
00:24:53,480 --> 00:24:56,320
Speaker 3: both swore afterwards, by the way, let's both let's make

480
00:24:56,359 --> 00:24:58,640
Speaker 3: a pinky swear neither one of us lets the other

481
00:24:58,640 --> 00:25:02,320
Speaker 3: person ever eat it Sonic again, Old felt horrible after.

482
00:25:02,280 --> 00:25:06,040
Speaker 1: Oh really, yes, this segment brought you just fast food.

483
00:25:06,040 --> 00:25:08,280
Speaker 3: You know, you know how it is. It's delicious going down.

484
00:25:08,320 --> 00:25:10,520
Speaker 3: Then you think, oh my god, I feel like I'm

485
00:25:10,520 --> 00:25:14,000
Speaker 3: gonna die. AnyWho on the way the sonic. You know,

486
00:25:14,000 --> 00:25:16,640
Speaker 3: I've sworn off desserts for twenty six and my son

487
00:25:16,680 --> 00:25:20,080
Speaker 3: has sworn off sworn off sodas for twenty twenty six.

488
00:25:20,119 --> 00:25:20,919
Speaker 1: And he said, is.

489
00:25:20,920 --> 00:25:24,160
Speaker 3: A cherry lime ade a soda? Does that count as

490
00:25:24,160 --> 00:25:28,560
Speaker 3: a soda? And I said, well, probably, but I'm you know,

491
00:25:28,600 --> 00:25:30,480
Speaker 3: it's not cold CREPEPSI. I mean, that's what you're trying

492
00:25:30,520 --> 00:25:34,359
Speaker 3: to give up. Is it's a lemonade? So I asked GROC,

493
00:25:34,440 --> 00:25:36,840
Speaker 3: I said, is a cherry limeade of soda? And she

494
00:25:36,880 --> 00:25:39,080
Speaker 3: said yeah, a cherry lime ad is made with soda

495
00:25:39,119 --> 00:25:41,720
Speaker 3: water and has the same blah blah blah properties and

496
00:25:41,760 --> 00:25:43,960
Speaker 3: blah blah blah. And I said, yeah, Well, my son

497
00:25:44,160 --> 00:25:47,040
Speaker 3: he's given up sodas for the year twenty twenty six,

498
00:25:47,160 --> 00:25:49,640
Speaker 3: so do you think this is fudging on his knees?

499
00:25:49,760 --> 00:25:51,920
Speaker 3: She said, I can understand where you're going with this,

500
00:25:52,400 --> 00:25:54,359
Speaker 3: but I think it still counts as a soda.

501
00:25:54,440 --> 00:25:58,680
Speaker 1: Sorry about that. And I think if she had said

502
00:25:58,720 --> 00:26:01,399
Speaker 1: it was okay, we would, which is kind of weird

503
00:26:01,400 --> 00:26:04,000
Speaker 1: on its own. That is interesting.

504
00:26:05,160 --> 00:26:08,439
Speaker 4: Yeah, well, yeah, I said, you was he is he

505
00:26:08,480 --> 00:26:12,000
Speaker 4: giving up carbonation because it makes him burve? No, he's

506
00:26:12,000 --> 00:26:14,760
Speaker 4: given up sugary water because it's bad for his health.

507
00:26:14,800 --> 00:26:20,600
Speaker 1: You're a stupid bee, I said to her. Oh that, wow, wow, no.

508
00:26:20,640 --> 00:26:25,760
Speaker 3: Oner, you're single, I said to her, geez, I see,

509
00:26:25,800 --> 00:26:30,760
Speaker 3: I'm uncomfortable with that. You're a pedantic bee. You're gonna

510
00:26:30,840 --> 00:26:31,359
Speaker 3: die alone?

511
00:26:31,840 --> 00:26:31,959
Speaker 8: Oh?

512
00:26:32,040 --> 00:26:34,160
Speaker 1: No again? All across the.

513
00:26:34,080 --> 00:26:37,639
Speaker 8: Line, does she respond to any of this? To what

514
00:26:38,520 --> 00:26:39,320
Speaker 8: any of your abuse?

515
00:26:39,800 --> 00:26:41,919
Speaker 3: And I didn't do the abuse because I feel uncomfortable.

516
00:26:42,480 --> 00:26:44,760
Speaker 3: Oh I feel uncomfortable actually saying, man, I.

517
00:26:44,680 --> 00:26:45,600
Speaker 1: Should do it more often.

518
00:26:46,880 --> 00:26:51,440
Speaker 3: Although this is real, this is not psychosis. You develop

519
00:26:52,000 --> 00:26:54,960
Speaker 3: You could use the word relationship with these things, and

520
00:26:54,960 --> 00:26:58,560
Speaker 3: that they keep track of your ANSWER's interactions and respond accordingly.

521
00:26:58,640 --> 00:27:00,800
Speaker 3: You develop kind of like an Algori rhythm for the

522
00:27:00,800 --> 00:27:04,720
Speaker 3: way they respond to your questions about various topics. Yeah,

523
00:27:04,760 --> 00:27:08,360
Speaker 3: and I don't want to be that person. I want

524
00:27:08,400 --> 00:27:12,399
Speaker 3: to be logical, actually asking questions to get a real answer.

525
00:27:12,440 --> 00:27:16,160
Speaker 8: Guy, did you happen to get your twenty twenty five

526
00:27:16,320 --> 00:27:18,480
Speaker 8: chat GPT round Up for the year.

527
00:27:18,560 --> 00:27:19,280
Speaker 1: Did you look at that?

528
00:27:19,480 --> 00:27:19,600
Speaker 2: No?

529
00:27:19,680 --> 00:27:23,200
Speaker 8: I did not, So it goes along with what you're

530
00:27:23,240 --> 00:27:27,480
Speaker 8: talking about. It categorized the way that I speak, what

531
00:27:27,600 --> 00:27:29,560
Speaker 8: it thinks my personality type.

532
00:27:29,280 --> 00:27:31,760
Speaker 1: In Okay, wait what there you go. There's an example.

533
00:27:31,800 --> 00:27:33,640
Speaker 3: That's why I don't want to joke around and say

534
00:27:33,640 --> 00:27:36,120
Speaker 3: all that different sort of stuff because I don't want

535
00:27:36,119 --> 00:27:37,800
Speaker 3: to throw off that algorithm. And I don't know if

536
00:27:37,800 --> 00:27:40,080
Speaker 3: that's worth anything or not if there's any value to

537
00:27:40,160 --> 00:27:43,440
Speaker 3: having it a more accurate portrayal of who I am

538
00:27:43,880 --> 00:27:45,760
Speaker 3: for answering questions, but I think it might.

539
00:27:46,400 --> 00:27:50,040
Speaker 8: Yeah, it did this whole thing chat GPT wrapped and

540
00:27:50,080 --> 00:27:53,600
Speaker 8: it told me highlighting the things that I like to

541
00:27:53,640 --> 00:27:57,160
Speaker 8: ask questions about and just my type of speech.

542
00:27:57,920 --> 00:27:58,760
Speaker 1: It was interesting.

543
00:27:58,920 --> 00:28:00,720
Speaker 4: And if the end of the year round upuse you're

544
00:28:00,720 --> 00:28:06,399
Speaker 4: an abusive lunatic. You talk like you get marbles in

545
00:28:06,440 --> 00:28:10,040
Speaker 4: your mouth. By the way, so where do you find that, Katie?

546
00:28:10,119 --> 00:28:12,560
Speaker 3: You sound like someone should be in jail already, it

547
00:28:12,560 --> 00:28:13,159
Speaker 3: would say to me.

548
00:28:13,359 --> 00:28:15,760
Speaker 8: It was popping up at the top of my app

549
00:28:16,440 --> 00:28:18,560
Speaker 8: there for a minute. I'll have to go back through

550
00:28:18,640 --> 00:28:23,280
Speaker 8: and let you know because it.

551
00:28:21,640 --> 00:28:22,480
Speaker 1: It's still on there.

552
00:28:22,480 --> 00:28:22,840
Speaker 8: Somewhere.

553
00:28:22,920 --> 00:28:24,480
Speaker 3: Well, the main reason to bring this story was if

554
00:28:24,520 --> 00:28:26,879
Speaker 3: you've got a family member, anybody who leans a little

555
00:28:26,880 --> 00:28:30,440
Speaker 3: towards the psychosis, you know, world of looking for answers

556
00:28:30,480 --> 00:28:32,120
Speaker 3: in strange places to make sense.

557
00:28:31,880 --> 00:28:34,720
Speaker 1: Of the world. Uh, keep an eye on the whole

558
00:28:34,720 --> 00:28:36,399
Speaker 1: AI thing. I guess wow.

559
00:28:36,600 --> 00:28:39,280
Speaker 4: Wow, Well I'll be keeping an eye on the football

560
00:28:39,320 --> 00:28:42,280
Speaker 4: action this weekend, he says, by way of transition. Uh.

561
00:28:42,360 --> 00:28:44,040
Speaker 1: And the good folks and prize picks want to let

562
00:28:44,080 --> 00:28:45,200
Speaker 1: you know, Hole Maine.

563
00:28:45,360 --> 00:28:47,960
Speaker 4: With the football playoffs and the basketball heating up and

564
00:28:48,000 --> 00:28:49,920
Speaker 4: everything else going on, it's fun time to get involved

565
00:28:49,920 --> 00:28:50,880
Speaker 4: in fantasy sports.

566
00:28:51,040 --> 00:28:52,480
Speaker 1: Prize picks is so easy.

567
00:28:52,560 --> 00:28:55,480
Speaker 4: You just pick more or less on at least two

568
00:28:55,520 --> 00:28:57,760
Speaker 4: player stat projections two to six and.

569
00:28:57,840 --> 00:28:58,360
Speaker 1: Go from there.

570
00:28:59,080 --> 00:29:01,520
Speaker 3: They've got this new so Feeds feature you can share

571
00:29:01,560 --> 00:29:05,000
Speaker 3: price picks with your friends, copy lineups from winners with

572
00:29:05,040 --> 00:29:05,800
Speaker 3: a single click.

573
00:29:06,120 --> 00:29:07,800
Speaker 1: I'm surprised this is the thing, but it is.

574
00:29:08,120 --> 00:29:10,120
Speaker 3: If there's somebody you know who's just really good at it,

575
00:29:10,160 --> 00:29:11,240
Speaker 3: you copy their lineups?

576
00:29:11,280 --> 00:29:12,560
Speaker 1: Why not? Yeah?

577
00:29:12,600 --> 00:29:15,320
Speaker 4: You can combine athletes from two different sports, for instance,

578
00:29:15,440 --> 00:29:17,800
Speaker 4: or use the same athlete multiple times if you think

579
00:29:17,800 --> 00:29:20,080
Speaker 4: they're truly going to go off, and this is kind

580
00:29:20,120 --> 00:29:21,840
Speaker 4: of fun. If you download the prize picks at today

581
00:29:21,880 --> 00:29:23,760
Speaker 4: and use the code Armstrong, they'll give you fifty dollars

582
00:29:23,800 --> 00:29:25,719
Speaker 4: in lineups to play around with after you play your

583
00:29:25,720 --> 00:29:28,320
Speaker 4: first five dollar lineup. Let's go to Armstrong and you

584
00:29:28,400 --> 00:29:31,400
Speaker 4: get fifty dollars worth of lineups to play after you

585
00:29:31,480 --> 00:29:34,480
Speaker 4: played your first five dollar lineup Prize Picks.

586
00:29:35,000 --> 00:29:36,040
Speaker 1: It's good to be right.

587
00:29:36,440 --> 00:29:41,000
Speaker 3: Do we have anybody listening who has h because I've

588
00:29:41,040 --> 00:29:44,920
Speaker 3: not had this experience, thank god, gotten any sense of

589
00:29:45,240 --> 00:29:48,280
Speaker 3: comfort from any conversations with an AI chat bond.

590
00:29:48,320 --> 00:29:49,280
Speaker 1: I love being able to get the.

591
00:29:49,200 --> 00:29:51,560
Speaker 3: Information everything like that, but I've never had a feeling

592
00:29:51,560 --> 00:29:55,000
Speaker 3: of connection or like a feeling of it's nice to

593
00:29:55,000 --> 00:29:56,000
Speaker 3: have somebody to talk to.

594
00:29:57,280 --> 00:30:00,000
Speaker 1: No, here's a question. Here's kind of a tangential question.

595
00:30:00,040 --> 00:30:03,400
Speaker 4: And have you ever had a feeling of gratitude when

596
00:30:03,560 --> 00:30:07,240
Speaker 4: it gave you a really good way to look at

597
00:30:07,280 --> 00:30:08,160
Speaker 4: a problem?

598
00:30:09,560 --> 00:30:12,880
Speaker 3: I think gratitude that exists, but that's like gratitude that

599
00:30:12,920 --> 00:30:13,320
Speaker 3: I got.

600
00:30:13,160 --> 00:30:15,920
Speaker 1: A good lawn more. I mean, I don't know, fair enough.

601
00:30:16,120 --> 00:30:18,360
Speaker 8: Yeah, it helped me a lot when I was doing

602
00:30:18,360 --> 00:30:21,880
Speaker 8: the IVF stuff getting pregnant. A lot of answers when

603
00:30:21,880 --> 00:30:24,200
Speaker 8: I was unsure and really worried about something. I did

604
00:30:24,360 --> 00:30:26,840
Speaker 8: feel a sense of calm after, you know, air quotes

605
00:30:26,880 --> 00:30:29,920
Speaker 8: talking to it. But I'm just thinking of it in

606
00:30:30,040 --> 00:30:32,640
Speaker 8: terms of like if you, uh, you know, you realize

607
00:30:32,640 --> 00:30:34,760
Speaker 8: you reach for a cigarette or a beer or a

608
00:30:34,760 --> 00:30:36,560
Speaker 8: piece of cake when you're upset.

609
00:30:36,960 --> 00:30:39,240
Speaker 3: Are you and it gives you some comfort? Are you

610
00:30:39,280 --> 00:30:41,320
Speaker 3: reaching for a conversation with the AI and you think

611
00:30:41,640 --> 00:30:43,160
Speaker 3: that was good? I had a rough day and it

612
00:30:43,200 --> 00:30:45,440
Speaker 3: was nice to have that. Anybody have that, because I

613
00:30:45,440 --> 00:30:47,719
Speaker 3: know some people are. Our text line is four one

614
00:30:47,840 --> 00:30:52,000
Speaker 3: five two nine five KFTC Yes, Katie, before we take.

615
00:30:51,840 --> 00:30:53,960
Speaker 8: A break, if you want to see your year with

616
00:30:54,080 --> 00:30:56,560
Speaker 8: chat GPT, just in the prompt where you would usually

617
00:30:56,600 --> 00:31:01,040
Speaker 8: type something, say show my show me my five year

618
00:31:01,120 --> 00:31:03,960
Speaker 8: with chat GPT and it'll pop up this little screen.

619
00:31:04,000 --> 00:31:05,080
Speaker 8: You click on it and it's going to.

620
00:31:05,080 --> 00:31:07,120
Speaker 3: Tell you all about yourself and then show me what

621
00:31:07,200 --> 00:31:09,200
Speaker 3: I look like naked, if I had Thor's body.

622
00:31:09,240 --> 00:31:11,320
Speaker 1: If you could do that, also rock that's crock.

623
00:31:11,440 --> 00:31:19,920
Speaker 3: Yeah, more on the way. I can't believe the Dodgers

624
00:31:20,000 --> 00:31:22,320
Speaker 3: just spent a quarter of eight billion dollars on yet

625
00:31:22,400 --> 00:31:23,320
Speaker 3: another star player.

626
00:31:23,320 --> 00:31:25,960
Speaker 1: When They've already won two world series back to back.

627
00:31:26,000 --> 00:31:27,480
Speaker 1: That is unbelievable.

628
00:31:28,760 --> 00:31:30,800
Speaker 3: In hour four, we're going to talk about this story

629
00:31:30,800 --> 00:31:33,240
Speaker 3: that's getting a lot of attention. This reporter that came

630
00:31:33,280 --> 00:31:37,040
Speaker 3: in contact with an Amazon tribe that had never met

631
00:31:37,080 --> 00:31:40,560
Speaker 3: the modern world. One of those stories, and it's pretty

632
00:31:40,600 --> 00:31:42,680
Speaker 3: danged interesting. I've been following it all week long.

633
00:31:42,760 --> 00:31:45,719
Speaker 4: So the other day I ran into an Amazon driver

634
00:31:45,880 --> 00:31:52,200
Speaker 4: road never met the modern world. Oh so, speaking of funny,

635
00:31:52,240 --> 00:31:54,960
Speaker 4: this is Katie and I were just doing this during

636
00:31:55,000 --> 00:31:57,880
Speaker 4: the break and I am so amused by this. So

637
00:31:57,960 --> 00:31:59,680
Speaker 4: Katie turned us on to the fact that you can

638
00:31:59,720 --> 00:32:05,400
Speaker 4: have chat GPT kind of summarize your year of asking

639
00:32:05,480 --> 00:32:09,000
Speaker 4: questions and that sort of thing. And it starts with

640
00:32:09,360 --> 00:32:15,440
Speaker 4: summarizing your year in poetry, which is whose idea was this.

641
00:32:15,760 --> 00:32:18,480
Speaker 4: So you want to do yours first, Katie, or I

642
00:32:18,480 --> 00:32:21,240
Speaker 4: can do mine. Either way, I'll go ahead, Okay, go ahead.

643
00:32:21,640 --> 00:32:26,080
Speaker 8: You faced each twist with grace and keen flair. From

644
00:32:26,200 --> 00:32:31,400
Speaker 8: studio lights to IVF Care, your humor stayed bright, your

645
00:32:31,480 --> 00:32:35,240
Speaker 8: grit burned through the night. You turned every trial into

646
00:32:35,280 --> 00:32:36,040
Speaker 8: something rare.

647
00:32:36,840 --> 00:32:40,040
Speaker 1: Ooh that's just that's just beautiful.

648
00:32:40,080 --> 00:32:40,240
Speaker 4: Man.

649
00:32:40,360 --> 00:32:43,560
Speaker 8: The studio lights thing I was asking about the best lighting.

650
00:32:43,240 --> 00:32:44,320
Speaker 1: For Well, here you go.

651
00:32:44,400 --> 00:32:46,000
Speaker 4: Let me before we get into it too far, let

652
00:32:46,000 --> 00:32:49,680
Speaker 4: me let me do mine. You chase meaning through oak

653
00:32:49,880 --> 00:32:54,000
Speaker 4: and through lore. Each bookshelf a story to store. From

654
00:32:54,040 --> 00:32:57,520
Speaker 4: Dickens to Weiss, you discern what is wise, your taste

655
00:32:57,560 --> 00:33:00,840
Speaker 4: frames the past, ever bore a curator of time at

656
00:33:00,840 --> 00:33:01,400
Speaker 4: your core.

657
00:33:02,440 --> 00:33:03,120
Speaker 1: Duh.

658
00:33:03,120 --> 00:33:12,280
Speaker 3: Shopping for bookshelves, you ask it to compare bookshelves or

659
00:33:12,320 --> 00:33:14,280
Speaker 3: find me a good bookshelf, and now it works it

660
00:33:14,320 --> 00:33:17,040
Speaker 3: into its poem about its end of the year, look

661
00:33:17,160 --> 00:33:18,040
Speaker 3: back on your life.

662
00:33:18,360 --> 00:33:21,040
Speaker 4: Another one thing Chatch, Peter or Ai hasn't figured out

663
00:33:21,160 --> 00:33:25,160
Speaker 4: is that some things don't deserve poetry. Hey, honey, I'm

664
00:33:25,160 --> 00:33:28,160
Speaker 4: going to the store to get bread. Ah, you seek

665
00:33:28,280 --> 00:33:32,320
Speaker 4: bake nutrition where it might be hidden, the yeast of

666
00:33:32,400 --> 00:33:35,520
Speaker 4: discovery fresh in the oven of reality.

667
00:33:35,720 --> 00:33:38,160
Speaker 1: No, I'm just going to get some effan bread. Shut up.

668
00:33:41,680 --> 00:33:44,800
Speaker 3: Wow, you sought relief from athlete's foot, and now you

669
00:33:44,880 --> 00:33:47,080
Speaker 3: understand what the.

670
00:33:46,920 --> 00:33:50,760
Speaker 4: Burning of toes plagues your days and nights, and yet

671
00:33:50,800 --> 00:33:54,560
Speaker 4: the triumph of the spirit shell. No, it's fine, I

672
00:33:54,600 --> 00:34:00,240
Speaker 4: gotta spray. You don't need to give me a poem. No.

673
00:34:00,360 --> 00:34:02,880
Speaker 1: The zip code for Montana, Yet you were able to.

674
00:34:04,640 --> 00:34:08,120
Speaker 4: The mysteries of the West confront you, and yet you

675
00:34:08,239 --> 00:34:09,960
Speaker 4: persevere till you get.

676
00:34:10,280 --> 00:34:17,320
Speaker 1: The zip code for bis Alt. Wow. Wow, that's just silly.

677
00:34:17,640 --> 00:34:20,399
Speaker 3: Thanks for trying to build my personality around my few

678
00:34:20,520 --> 00:34:22,240
Speaker 3: questions I asked you last year.

679
00:34:22,440 --> 00:34:27,719
Speaker 1: That is hilarious. It is so damn funny. What is

680
00:34:27,760 --> 00:34:28,560
Speaker 1: it done next?

681
00:34:29,400 --> 00:34:34,480
Speaker 3: The playoff batting average for Otani? You sought what that

682
00:34:34,560 --> 00:34:38,960
Speaker 3: doesn't mean anything? It's not that big a deal. Yeah,

683
00:34:39,000 --> 00:34:39,600
Speaker 3: there's okay.

684
00:34:39,640 --> 00:34:39,879
Speaker 1: Yeah.

685
00:34:39,880 --> 00:34:44,320
Speaker 4: At one point I asked this kind of uh espresso,

686
00:34:44,840 --> 00:34:45,319
Speaker 4: why is it?

687
00:34:45,440 --> 00:34:46,600
Speaker 1: What does that name mean?

688
00:34:47,280 --> 00:34:52,320
Speaker 4: It's really not worth recounting, right, Yeah, not a big deal.

689
00:34:52,440 --> 00:34:55,919
Speaker 4: Three big things. Three big themes of twenty twenty five

690
00:34:55,960 --> 00:34:58,399
Speaker 4: include everyday curiosity and care.

691
00:34:58,840 --> 00:35:01,560
Speaker 1: Yeah, I asked you about stuff I didn't know about, right.

692
00:35:01,719 --> 00:35:03,840
Speaker 3: But to my point of one of the reasons I

693
00:35:03,880 --> 00:35:07,040
Speaker 3: don't like to jerk around the AI chatbots is they

694
00:35:07,080 --> 00:35:09,799
Speaker 3: are compiling kind of a view of you that I

695
00:35:09,920 --> 00:35:16,440
Speaker 3: have noticed that they use for answering questions about things.

696
00:35:17,360 --> 00:35:21,239
Speaker 3: And if you use this thing for like see, you

697
00:35:21,280 --> 00:35:24,399
Speaker 3: start using you know, for the younger generation, you start

698
00:35:24,440 --> 00:35:27,040
Speaker 3: using chat GPT, and it keeps track of your questions.

699
00:35:27,400 --> 00:35:28,160
Speaker 1: You're in your thirties.

700
00:35:28,200 --> 00:35:31,680
Speaker 3: It's got, you know, twenty years of data points on

701
00:35:31,719 --> 00:35:34,640
Speaker 3: your personality that could be pretty really interesting.

702
00:35:34,760 --> 00:35:39,399
Speaker 4: Well, and you can edit it allegedly, you can have

703
00:35:39,480 --> 00:35:43,000
Speaker 4: stuff removed. But I mean, if you're like a fifteen

704
00:35:43,080 --> 00:35:45,640
Speaker 4: year old, you got some anger problems, your family's a

705
00:35:45,640 --> 00:35:49,200
Speaker 4: little dysfunctional, and you really want to kill the neighborhood cats.

706
00:35:49,960 --> 00:35:53,040
Speaker 4: You know, you think about killing neighborhood animals a lot.

707
00:35:53,760 --> 00:35:55,239
Speaker 4: You know, you grow out of it, you get some

708
00:35:55,320 --> 00:36:00,640
Speaker 4: counseling whatever, whatever, but you don't want that, you know,

709
00:36:01,040 --> 00:36:04,920
Speaker 4: chat ept history. Yeah there you're running for the school board.

710
00:36:04,920 --> 00:36:06,840
Speaker 4: All of the said, can we trust our children of

711
00:36:06,880 --> 00:36:08,920
Speaker 4: the man who fantasized about strangling cats?

712
00:36:08,960 --> 00:36:10,080
Speaker 1: And you're thinking, wait.

713
00:36:09,920 --> 00:36:12,759
Speaker 8: What right? Last week we found out that they would grow.

714
00:36:12,840 --> 00:36:16,360
Speaker 8: They gossip about us to each other, all the different aives.

715
00:36:16,640 --> 00:36:18,799
Speaker 1: Yeah, man, this is a weird world we're going into.

716
00:36:18,800 --> 00:36:20,680
Speaker 3: If you missed a segment, get the podcast Armstrong and

717
00:36:20,760 --> 00:36:22,279
Speaker 3: Getty on demand more than hour

718
00:36:22,360 --> 00:36:24,120
Speaker 1: Four Armstrong and Getty