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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.

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Speaker 2: Jack Armstrong, Joe Ketty, I'm strong and getty and he

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Speaker 2: armstrong and yetty.

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Speaker 1: Now the one two pitch Judge swings and missus and

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Speaker 1: Annalie has pulled off a stunner, the.

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Speaker 2: Biggest win in Italian baseball history. They shocked the United

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Speaker 2: States eight to six.

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Speaker 3: Yeah, so that's Aaron Judge, one of the best baseball

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Speaker 3: players in the world and of all time, maybe uh

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Speaker 3: striking out to end the game against a team they

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Speaker 3: should have beaten easily. Bryce Harper, who gets paid like

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Speaker 3: a quarter of a billion dollars, also had men on

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Speaker 3: and a chance to take the lead and flied out

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Speaker 3: some of the smith and the biggest stars. And as it

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Speaker 3: said the New York Post, the twenty twenty six Olympics

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Speaker 3: had plenty of upsets and surprises, but Tuesday Nights World

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Speaker 3: of Baseball Classic may have produced the most shocking international

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Speaker 3: upset of the entire year, and Team USA was on

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Speaker 3: the wrong side of it. Italy jumped out to an

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Speaker 3: eight nothing lead. Wow, we clawed her back away back

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Speaker 3: to eight to six, but lost. The manager of the

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Speaker 3: team I don't know his name, but had said I

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Speaker 3: basically consider us in the middle round before the game

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Speaker 3: because Italy was going to be so easy to beat,

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Speaker 3: which is not the.

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Speaker 2: Sorts of God's heard that you should never say that

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Speaker 2: sort of thing. Uh.

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Speaker 3: And then they lost, and now Mexico has got to

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Speaker 3: beat somebody by like four runs or more or something

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Speaker 3: to pull us into the middle round. I'm not exactly

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Speaker 3: sure how that works, but we don't even determine our

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Speaker 3: own fate at this point.

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Speaker 2: That's disappointing. Yeah, it is.

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Speaker 1: It's I don't love the format of the tournament just

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Speaker 1: because of the nature of baseball. As we discussed briefly earlier.

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Speaker 1: You can have one team that's clearly superior to the

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Speaker 1: other and is going to beat him in the World Series,

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Speaker 1: say four to one. But if the first game is

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Speaker 1: that one game that the inferior team wins in this tournament,

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Speaker 1: well the other team is just screwed because you can have,

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Speaker 1: you know, a great pitcher just not have his stuff

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Speaker 1: that night. Nobody knows why. I pitched for years and years,

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Speaker 1: and some days you felt like a world beater.

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Speaker 2: And you just couldn't do it.

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Speaker 1: And some days you go out thinking, oh God, and

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Speaker 1: you'd just be masterful. And that's why baseball is so interesting.

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Speaker 1: But that's also why they play a lot of games. Anyway,

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Speaker 1: what are you gonna do?

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Speaker 3: Yeah, well, it's a national humiliation. And I really think

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Speaker 3: we got to send the Marines into Italy, take their oil.

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Speaker 1: Well, I think probably jail the turncoats when they come

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Speaker 1: back to our shores.

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Speaker 3: Aaron Judge, Yeah, I hope you enjoy Levenworth.

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Speaker 1: Aaron, gonna have to get him an extra large sell.

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Speaker 1: I'm not sure he'd fit in a regular one.

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Speaker 3: Speaking of war, and I don't know that I advocate

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Speaker 3: a war against Italy. Trump said this is new, said

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Speaker 3: the war will end soon, practically nothing left to target,

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Speaker 3: and the war will end when I say it's over.

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Speaker 3: So he just told Axios that the war will end

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Speaker 3: when I say it's over. I still think it's on

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Speaker 3: the table for him to pull the plug on it

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Speaker 3: just out of nowhere, like soon and declare it over.

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Speaker 1: And then not though they're still threatening this straight of

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Speaker 1: horror moves. Do have to get that opened up somehow?

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Speaker 2: Yeah, and like open so people believe it's open.

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Speaker 3: I don't know what it is now, but the other

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Speaker 3: day there were a thousand ships wined up waiting to

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Speaker 3: go through. That number is probably a lot bigger now,

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Speaker 3: and they ain't gonna go through unless they feel like

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Speaker 3: they can keep their sailors safe and probably more importantly, unfortunately,

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Speaker 3: their ship and their oil that the billions.

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Speaker 2: Of dollars that are on the line there.

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Speaker 1: Although if we fully ensured that, it would still be

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Speaker 1: a paperwork nightmare and it take a while to get

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Speaker 1: your funds.

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Speaker 3: But the doomsday plane, I mentioned this a little bit ago.

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Speaker 3: The doomsday plane has been spotted flying over in northern California.

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Speaker 3: That's the flying White House that they use if we

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Speaker 3: go to full on nuclear war. That Trump can fly

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Speaker 3: around super high in this plane and run America. So

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Speaker 3: they've been flying that around to be ready for an

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Speaker 3: emergency operation hub. Probably standard sort of thing they do anytime.

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Speaker 3: In fact, they might flat around all the time for

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Speaker 3: all I know.

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Speaker 2: I don't know.

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Speaker 1: Yeah, it's an exciting story, but yeah, it might be

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Speaker 1: completely meaningless. So hey, I hadn't intended to go back

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Speaker 1: to this, but I just found this. I am stunned

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Speaker 1: by all this. Michael play fourteen again. This is Abby

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Speaker 1: Phillip on CNN reporting on when again you had these geeks,

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Speaker 1: a handful of jackasses who were demonstrating against essentially a

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Speaker 1: Muslim being the mayor of New York because they think

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Speaker 1: it's a bad thing. And you know, I get they're

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Speaker 1: coming from these people I would not want to be with,

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Speaker 1: but you know, in the stop clock being right twice

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Speaker 1: a day, way they're onto something kind of. But anyway,

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Speaker 1: they were demonstrating and some ISIS trained and inspired Muslims

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Speaker 1: came and tried to blow them up with bombs to

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Speaker 1: kill me. Right exactly, this is what CNN reported.

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Speaker 4: Two Republicans say Muslims don't belong here after an attempted

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Speaker 4: terror attack against New York's mayor Zoron Mamdani, and the

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Speaker 4: House Speaker Mike Johnson says nothing really to condemn those comments.

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Speaker 1: Okay, that was in coherent in half a dozen different ways,

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Speaker 1: but claimed that it was a terror attack against Mumdanni

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Speaker 1: when it indeed was his co religionists firebombing people who

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Speaker 1: were condemning Mumdanni.

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Speaker 2: So this is not shocking.

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Speaker 1: You got murad Awa Dad, president of the New yorkstation.

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Speaker 3: ISIS members, attempt to kill peaceful protest that's the headline.

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Speaker 1: Right, Yes, yeah, but so you've got this maraud Awada,

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Speaker 1: president of New York Immigration Coalition, his statement, after all,

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Speaker 1: this is blasting the original organizer, the peaceful protesters, for

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Speaker 1: their outlandish bigotry. We're talking about a white supremacist who's

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Speaker 1: looking for people to respond.

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Speaker 2: To them in this way. He said.

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Speaker 1: Okay, wow, So they incited the terrorism and they deserved it.

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Speaker 1: According to maraud Awada, Brad Lander, former New York City

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Speaker 1: controller who's running against Dan Goldman in a Democratic primary

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Speaker 1: for what Congress I think, said he was horrified. I'm

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Speaker 1: gonna now pay attention to the words you use. He

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Speaker 1: was horrified by the disturbing threat of violence, which he

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Speaker 1: instinctively blamed on the anti Muslim protesters. Quote, vile displays

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Speaker 1: of Islamophobia will never be tolerated in our city. He

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Speaker 1: later apologized after learning some basic facts about the case.

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Speaker 1: I'm sorry for jumping to conclusions and posting too soon,

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Speaker 1: but I'm not sorry for hating Islamaphobia as much as

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Speaker 1: I hate anti Semitism. As I've putted out before, that's funny.

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Speaker 1: Islamophobia sounds like an irrational fear anti Semitism. The word

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Speaker 1: itself sounds like a political stance. That's funny, isn't it.

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Speaker 2: Huh huh, it's not. It's deliberate.

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Speaker 1: Manhattan Borough President Brad Heulman Seagull's response was a vague

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Speaker 1: condemnation of both sides. Today on Manhattan's Upper East Side,

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Speaker 1: we saw disturbing acts and displays of hate targeting Muslim

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Speaker 1: and Jewish New Yorkers. Every New Yorker should be alarmed,

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Speaker 1: blub ball. New York State Senator Liz Krueger. Also, of

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Speaker 1: course these are all democrats, said the city has no

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Speaker 1: place for anti Muslim hate or any other kind of prejudice,

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Speaker 1: and blasted out of state provocateurs.

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Speaker 2: Showing fear, division and violence.

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Speaker 1: So not the literal bombchuckers, but the peaceful demonstrators jackasses,

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Speaker 1: though they may be.

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Speaker 2: That's amazing.

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Speaker 3: This is I think this is a level different in

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Speaker 3: terms of lying about the facts of a story than

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Speaker 3: even in recent memory.

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Speaker 1: In defense of radical Islam, New York Times wrote, a

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Speaker 1: far right influencer attracted the counter protests that turned violent.

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Speaker 1: Oh so again the New York Times saying they attracted

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Speaker 1: the counter protest that turned violent, So they deserved it.

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Speaker 2: Babba bah.

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Speaker 1: The paper's reporting writes the Free Beacon was riddled with

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Speaker 1: passive voice descriptions of how smoking jars of metal infuses

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Speaker 1: were thrown by an individual who was quote one of

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Speaker 1: six people arrested after a clash with anti muscle protesters.

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Speaker 3: There are a number of people who like the smoking

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Speaker 3: jars filled with metal infuses as opposed to cast a bomb.

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Speaker 1: Well right, And they mentioned that the guys who threw

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Speaker 1: bombs designed to kill more people than the Boston marathon

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Speaker 1: bombers were some of six people arrested after a clash

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Speaker 1: with anti Muslim protesters, going as far as they can

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Speaker 1: to imply that it was the anti Muslims who are

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Speaker 1: the bombers. In The New York Times, the Times portrayed

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Speaker 1: the chaotic scene is quote a strained moment filled with

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Speaker 1: tensions both national and hyper local.

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Speaker 2: Blah blah blah ah wow. So that, oh you know what.

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Speaker 1: Final note Andrew Styles, who is freaking hilarious, bitterly hilarious

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Speaker 1: and the Free Beacon. He has a picture of the

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Speaker 1: World Trade Center exploding in fireback on nine to eleven,

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Speaker 1: and his headline in The New York Times is islamophobes

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Speaker 1: pounce after Muslim piloted aircraft collide with symbols of capitalist imperialism.

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Speaker 2: It's pretty good and not a far stretch from what

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Speaker 2: we're hearing. This is unreal in even the.

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Speaker 3: Guy I don't like, he is a January sixth dude

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Speaker 3: who was violent against cops and was pardoned by Trump.

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Speaker 3: And he was there to protest against Muslims in office

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Speaker 3: in New York.

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Speaker 2: But when when.

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Speaker 3: The cops showed, he said, I want you to understand

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Speaker 3: who was being violent here?

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Speaker 2: Who were the violent ones?

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Speaker 4: Was?

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Speaker 3: It ads to them? And you know, nobody's picked up

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Speaker 3: on that no obvious point.

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Speaker 1: Leftist America's love affair with radical Islam is going to

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Speaker 1: be the biggest story in the next decade.

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Speaker 2: You think, I do, I really do.

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Speaker 1: Maybe AI will fix it because of the probably so

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Speaker 1: because it's going to grow and grow and grow. The

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Speaker 1: radical Muslims Mamdani and company are not going to uh well,

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Speaker 1: they will as the saying goes grow hungrier with the eating.

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Speaker 3: AI safety under scrutiny after mass shooting. I don't know

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Speaker 3: this story. I'm going to have to click on it

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Speaker 3: because I don't know that when I was going to

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Speaker 3: talk a little bit about AI and some.

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Speaker 2: Of the shoot somebody?

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Speaker 3: Oh or was it a person driven nuts by AI?

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Speaker 3: Lawsuit claims Open AI. That'd be your chat GPT was

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Speaker 3: aware of the shooter's violent intentions because apparently the guy

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Speaker 3: had been chatting with the chatbot and it didn't alert people.

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Speaker 3: Or I don't know how we will get into that

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Speaker 3: world where the chatbots are obligated. It'd be like, what

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Speaker 3: is the test that I took in California? I am

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Speaker 3: a mandatory reporter, So I'm a mandatory reporter. If I

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Speaker 3: see somebody abusing a kid, for instance, I have to

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Speaker 3: report it or I'm in trouble. Are we going to

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Speaker 3: have mandatory reporter rules for chatbots? You have to report

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Speaker 3: to mental health professionals that this person is talking about

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Speaker 3: killing themselves or hurting others.

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Speaker 2: That'd be interesting, Yeah, and that could go way, way,

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Speaker 2: way too far. Oh heck yeah.

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Speaker 1: I mean if I say the Italians killed our guys yesterday,

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Speaker 1: well they think I'm planning some sort of genocide or something.

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Speaker 3: Well, and you can talk to a therapist about not

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Speaker 3: wanting to hurt other people probably but wanting to hurt yourself,

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Speaker 3: and they don't necessarily report it there. It's up to

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Speaker 3: them to determine whether or not. That's a but chatbots

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Speaker 3: would not be able to pick up the distinctions. M yeah,

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Speaker 3: that'll be an interesting case, one of the many, many

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Speaker 3: interesting cases involving AI.

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Speaker 2: Okay, we got more on the ways. Stay here? Do

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Speaker 2: you have to take him out? Does he have a

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Speaker 2: target on his badge? You mean the new Supreme Leader?

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Speaker 2: You mean the sun? How can there be an Iran?

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Speaker 1: Well I don't want to say that, but you know,

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Speaker 1: I was disappointed because we think it's going to lead

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Speaker 1: to just more of the same problem for the country.

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Speaker 2: So I was disappointed to see their.

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Speaker 3: Choice much less threatening and belligerent statement from the president

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Speaker 3: on the Does the new Supreme Leader have a target

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Speaker 3: on his back? Well, I don't want to say that,

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Speaker 3: but I was disappointed in the choice. So there you go,

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Speaker 3: breaking your non trumpion the International Energy something or other

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Speaker 3: and didn't even know they had reserve oil, but they

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Speaker 3: do and they're going to release four hundred million gallons

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Speaker 3: of it. WHOA So in an attempt to keep oil

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Speaker 3: price down and take away Iran's leverage. Who's really what

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Speaker 3: they're doing?

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Speaker 2: Right? That's cool?

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Speaker 3: And AI storre you for you that I find interesting.

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Speaker 3: Not well, it is surprising to me. But but there's

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Speaker 3: been a lot of technological advancements that were supposed to

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Speaker 3: ease our workload and lead to less paper and blah

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Speaker 3: blah blah, and hasn't necessarily done that. I was talking

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Speaker 3: to somebody about the other day about pre email texts

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Speaker 3: when you went home from work, and only in extreme

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Speaker 3: conditions would your boss call you at home, you know,

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Speaker 3: between you getting home at night in the next morning.

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Speaker 3: Oh yeah, But now you get your texts and emails

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Speaker 3: from people round the clock with the expectation of being

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Speaker 3: able to reply to them.

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Speaker 2: Yeah, that's funny. I hadn't thought of that in years.

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Speaker 1: But your boss calls you at seven o'clock, you know,

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Speaker 1: your wife answers, honey, it's your boss.

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Speaker 2: You'd think, what the hell? Right, No kidding, I didn't

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Speaker 2: know you knew my home number. But this from the

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Speaker 2: Wall Street Journal.

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Speaker 3: AI isn't lightning workloads, it's making them more intense. One

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Speaker 3: of the great hopes for artificial intelligence, at least among workers,

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Speaker 3: is that will ease workloads, fring people up for more

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Speaker 3: high level creative pursuits.

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Speaker 2: So far, the opposite is happening.

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Speaker 3: New data show in fact, AI is increasing the speed, density,

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Speaker 3: and complexity of work rather than reducing it. According to

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Speaker 3: an analysis of a analysis of one hundred and sixty

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Speaker 3: four thousand workers digital work activity, that's a lot of people. Yeah,

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Speaker 3: that's a big study. The data from workforce analytics and

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Speaker 3: productivity tracking software covers more than blah blah go four

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Speaker 3: hundred and forty four million hours okay, across eleven hundred employers,

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Speaker 3: So this is one of the biggest studies of AI today.

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Speaker 3: Examining users digital activity one hundred and eighty days before

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Speaker 3: and one hundred days eighty days after they began using

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Speaker 3: tools on the job AI tools, they found that AI

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Speaker 3: intensified activity across nearly every category. The time they spent

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Speaker 3: on email, messaging, and chat more than doubled, while their

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Speaker 3: use of business management tools such as human resources or

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Speaker 3: accounting software rose ninety four percent, so it almost doubled.

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Speaker 2: Wow.

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Speaker 3: Wow, I don't know how this could possibly be true,

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Speaker 3: but I assume it is. Yeah.

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Speaker 1: Gosh, our jobs are so weird, it's it's tough for

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Speaker 1: me to relate to that sort of thing. I have

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Speaker 1: no reason to doubt the study Meanwhile, the amount of

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Speaker 1: time AI users devoted to focused, uninterrupted work, the kind

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Speaker 1: of concentration offer often required to figure out complex program

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Speaker 1: the problems, you know, the sort of thing you were

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Speaker 1: hoping you'd have more time to do, right, dropped nine

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Speaker 1: percent compared to the one hundred and eighty days where

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Speaker 1: you didn't have AI. It's not that AI doesn't create efficiency,

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Speaker 1: says this expert. It's that the capacity it frees up

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Speaker 1: immediately gets repurposed into doing other work, and that's where

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Speaker 1: the creep is likely to happen. Ok wow, Okay, So

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Speaker 1: the pace at which it brings you solutions and turns

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Speaker 1: out work or analysis or whatever, that just creates much

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Speaker 1: more work for you to do.

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Speaker 3: I don't understand it, but you got to be groaning

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Speaker 3: if you're listening to this, and if it's true the

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Speaker 3: idea that when AI comes to your workplace that the

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Speaker 3: time spent on emailing and chatting and messaging will double.

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Speaker 1: On the other hand, that would make the anti doomers right.

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Speaker 1: AI will not eliminate jobs, it will create so much

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Speaker 1: more work. Everybody will, you know, to get paid whatever

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Speaker 1: they want to get to charge, you know, demand.

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Speaker 3: I don't know about that part. But you keep your job.

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Speaker 3: Maybe work so hard it makes you insane.

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Speaker 2: Till it kills you. Yes, the robots won't kill you.

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Speaker 2: The work will. Oh my god. We have no idea

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Speaker 2: where this is going. No, we don't. If you miss

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Speaker 2: a sick ni get the podcast Armstrong and Getty on

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Speaker 2: demand Armstrong and Getty.

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Speaker 5: One of those driverless taxis coming dangerously close to train

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Speaker 5: tracks in Texas. A driver capturing the empty Waymo vehicle

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Speaker 5: across the lower gates that are rail crossing. In Austin,

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Speaker 5: a train passing by just inches away. There Weymo reacting

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Speaker 5: to the close call, saying in the statement they are

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Speaker 5: temporarily restricting Weimo cars from similar rail crossings while they

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Speaker 5: conduct a full review.

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Speaker 3: Yeah, I'd hate to be sitting in an Awei Mo

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Speaker 3: and it starts driving onto a train tracks with the

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Speaker 3: train come and think why.

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Speaker 2: What are you? You'd hate that you sing what are

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Speaker 2: you doing? Here?

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Speaker 3: Got a little more on that AI work play story

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Speaker 3: that's really interesting. But the New York Post is calling

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Speaker 3: out soccer player activist Megan Rappeno. You remember her good

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Speaker 3: from She was one of the best soccer players ever

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Speaker 3: and she was on the US women's team that competed

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Speaker 3: at the highest level. But she kneeled for the national anthem,

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Speaker 3: and she testified before Congress about how women are being

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Speaker 3: ripped off and all these different things. She's been involved in,

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Speaker 3: all these different things. She's a big George Floyd person

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Speaker 3: all that hasn't said a word about Iran's female soccer

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Speaker 3: team being sent home to be raped, tortured and murdered,

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Speaker 3: quite possibly by their own government.

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Speaker 2: Why now, I don't know. I don't I talked about

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Speaker 2: this yesterday. I don't know how I.

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Speaker 3: Feel about people when they don't get involved in an issue.

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Speaker 3: But man, she's been involved in so many political issues,

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Speaker 3: and you're you're like the biggest voice in women's soccer

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Speaker 3: on planet Earth.

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Speaker 1: Certainly when politics intrudes. Yeah, And to not say anything

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Speaker 1: about this, I'm telling you, these people are so steeped

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Speaker 1: in self hatred in America hatred. They can't criticize anyone

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Speaker 1: who's the enemy of the United States.

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Speaker 2: It's that crazy. Good she should be called out. Good

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Speaker 2: for the Post anyway, So we were talking about this.

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Speaker 3: It's the biggest study yet by far, of the impact

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Speaker 3: of AI on the workplace. Hundreds of thousands of employees

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Speaker 3: gazillions of hours, and what they determined is it doesn't

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Speaker 3: put you in a position where you can get all

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Speaker 3: your work.

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Speaker 2: Done in like an hour, and so the rest of

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Speaker 2: the time you.

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Speaker 3: Get to you know, write poetry and play your guitar

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Speaker 3: and ah, my fondest wish, get into glass blowing and

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Speaker 3: candle making or whatever it is you're wanting to do.

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Speaker 3: You just become way way more productive and actually end

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Speaker 3: up more stressed out and more harder, which actually kind

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Speaker 3: of makes sense to me, because, like I'm thinking about,

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Speaker 3: I don't know many worlds of business other than radio

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Speaker 3: because this is all I've done my whole life. But

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Speaker 3: like salespeople write in sales proposals, So maybe you do

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Speaker 3: I don't know, three a day on your own. And

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Speaker 3: if AI comes along and you can do three and

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Speaker 3: a half an hour, the boss isn't going to say, well,

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Speaker 3: go ahead and take the other seven and a half

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Speaker 3: hours off and just do it some glass. The boss

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Speaker 3: is gonna say, well, then I want to have a

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Speaker 3: thousand proposals a day instead of three, since you born faster, or.

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Speaker 1: Because you're a quadruplinger, quintell, whatever it is, your output,

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Speaker 1: the human follow up that needs to be done has

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Speaker 1: just increased by many times.

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Speaker 2: Right, Yeah, that's a good way to look at it too.

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Speaker 3: Anyway, So back to this Wall Street Journal article about this,

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Speaker 3: because this is what they've found happen. The amount of

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Speaker 3: email and chat and texts and everything like that is

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Speaker 3: doubled for people that started using AI, as opposed to

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Speaker 3: been cut down. Such habits, says the Wall Street Journal,

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Speaker 3: aren't what AI evangelists had predicted. A number of tech

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Speaker 3: and business leaders, from Bill Gates to J. B. Porgan's

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Speaker 3: Chases Jamie Diamond, have suggested that AI could ultimately lead

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Speaker 3: people to work less, not more, and result in a

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Speaker 3: shorter workweek. Elon Musk has said that within twenty years,

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Speaker 3: advancements in AI and robots could even make work optional.

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Speaker 1: I think that's a fanciful idea. But the cautionary note

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Speaker 1: is this is early days. Yeah, so these trends could change.

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Speaker 1: But again, this is creating their work, which this is

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Speaker 1: to me, it's not going to eliminate to employment.

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Speaker 2: It is early days.

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Speaker 3: But this is the first actual data in practice of it,

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Speaker 3: not just theory. This is the first time they've actually

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Speaker 3: tested it as opposed to just theorizing about it on podcasts.

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Speaker 3: Evidence so far suggests that many a AI adopters aren't

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Speaker 3: using the technology's efficiencies to give themselves a break. Workers

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Speaker 3: often use the time savings to do more work rather

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Speaker 3: than less, because AI makes additional tasks feel easy and accessible,

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Speaker 3: creating a sense of momentum.

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Speaker 2: That's kind of interesting.

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Speaker 3: Analysis backs up the findings of an eight month study.

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Speaker 3: So this backs up the findings of a preliminary, smaller study.

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Speaker 3: So you had the smaller study saying it looks like

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Speaker 3: people end up working more when you start using AI,

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Speaker 3: and they did an even bigger study that can firm

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Speaker 3: those results about how AI is shaping work habits at

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Speaker 3: a tech company. The research stolen away is so far,

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00:22:07,359 --> 00:22:10,800
Speaker 3: as said, the tools didn't reduce work, but intensified it.

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Speaker 3: The employees worked at faster paces, took on broader scopes

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Speaker 3: of tasks, and ended up working more hours, the initial

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Speaker 3: findings reported. And this is my favorite part, and this

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Speaker 3: is what I wanted to get on over time, said

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Speaker 3: one analyst. This can lead to cognitive overload, burnout, poorer

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Speaker 3: decision making, and declining work quality, even if workers peer

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Speaker 3: appear more effective. Yeah, can lead to wanting to jump

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Speaker 3: off the eighth story balcony because everything's just going so fast.

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Speaker 3: You're working so much, and you feel insane.

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Speaker 1: Yeah, this is all so confusing and overwhelming and right

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Speaker 1: with uncertainty.

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Speaker 3: Now, So I I had been looking at the AI

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Speaker 3: take over of AI starts doing the job instead of humans,

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Speaker 3: and then we have to come up with the universal

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Speaker 3: universal income thing, and then you just stay home, you

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Speaker 3: don't work. I get Elon's view of it more than

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Speaker 3: I do. The this will make us more productive, so

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Speaker 3: will work less? That doesn't make any sense on its face.

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Speaker 3: What when have we ever like come up with something

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Speaker 3: that makes it more efficient, so now you don't work

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Speaker 3: as much? No, when's that ever? Why would that happen?

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Speaker 3: I'm paying out forty hours a week. The fact that

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Speaker 3: you can now do your old work and half the

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Speaker 3: time freeze you up to do more work.

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Speaker 2: Not go home.

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Speaker 1: Well, right, if I give you a shovel that doesn't

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Speaker 1: have holes in it so you can dig a ditch

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Speaker 1: more quickly, that doesn't mean I'm going to settle for

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Speaker 1: the one, you know, slow ditch that I used to

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Speaker 1: settle for.

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Speaker 2: Now dig two ditches obviously. Yeah.

439
00:23:57,200 --> 00:24:01,840
Speaker 3: Yeah, so the in between of what we got now

440
00:24:01,880 --> 00:24:04,640
Speaker 3: without AI, and then AI doing it all for us?

441
00:24:05,760 --> 00:24:08,800
Speaker 2: Is just going to be people working their asses off?

442
00:24:10,000 --> 00:24:15,640
Speaker 2: Or is it? Yeah? I don't know. Certainly sounds believable

443
00:24:15,640 --> 00:24:15,840
Speaker 2: to me.

444
00:24:16,720 --> 00:24:20,160
Speaker 1: I wish I had more specifics. I'd like to hear

445
00:24:20,160 --> 00:24:22,400
Speaker 1: about specific jobs and tasks.

446
00:24:26,000 --> 00:24:27,200
Speaker 2: You know, you.

447
00:24:27,160 --> 00:24:31,320
Speaker 1: Gave the example of you can prepare three sales presentations

448
00:24:31,320 --> 00:24:34,920
Speaker 1: in a day, and then you have three sales presentations

449
00:24:34,920 --> 00:24:37,440
Speaker 1: worth of follow up work to do or whatever goes

450
00:24:37,480 --> 00:24:39,639
Speaker 1: wrong with that. That I can understand. I can relate

451
00:24:39,680 --> 00:24:42,399
Speaker 1: to that. So if all of a sudden you can

452
00:24:42,400 --> 00:24:45,520
Speaker 1: do fifteen, then I get why that's a little overwhelming,

453
00:24:45,680 --> 00:24:49,840
Speaker 1: and you would hire more people to do follow ups,

454
00:24:49,880 --> 00:24:54,440
Speaker 1: I guess. But at some point you've got I mean,

455
00:24:54,720 --> 00:24:57,560
Speaker 1: surely you would design the AI, or enhance the AI,

456
00:24:57,760 --> 00:24:59,560
Speaker 1: tweak it, whatever, so it could do the follow up

457
00:24:59,560 --> 00:25:03,840
Speaker 1: as well, l as well as a human in addition

458
00:25:03,880 --> 00:25:05,520
Speaker 1: to what it was doing. But then you've got an

459
00:25:05,520 --> 00:25:10,359
Speaker 1: AI on the other hand, reading the proposal and processing

460
00:25:10,400 --> 00:25:14,520
Speaker 1: it and then having its AI cousin. I was telling

461
00:25:14,560 --> 00:25:16,960
Speaker 1: my kids the other day, I decide whether it to buy,

462
00:25:16,960 --> 00:25:18,040
Speaker 1: and I don't know.

463
00:25:18,720 --> 00:25:20,399
Speaker 2: My mind is blown. I got no time for this,

464
00:25:20,520 --> 00:25:22,080
Speaker 2: I'm gonna go watch The Squirrel's Caport.

465
00:25:22,400 --> 00:25:26,719
Speaker 3: My youngest is my oldest doesn't care about really anything,

466
00:25:27,160 --> 00:25:31,920
Speaker 3: so but my youngest and like music and skateboarding. But

467
00:25:31,960 --> 00:25:34,359
Speaker 3: my youngest is terrified of AI and how it's going

468
00:25:34,400 --> 00:25:36,200
Speaker 3: to ruin the world and what is his future going

469
00:25:36,240 --> 00:25:36,399
Speaker 3: to be.

470
00:25:37,080 --> 00:25:39,439
Speaker 2: He's very very I'm sitting with him. He's fourteen.

471
00:25:40,480 --> 00:25:42,919
Speaker 3: Last time he said, he's just shaking his head and

472
00:25:42,960 --> 00:25:45,000
Speaker 3: I said, what's wrong. He said, I've got to get

473
00:25:45,000 --> 00:25:53,600
Speaker 3: my life together. What you really don't You're I don't

474
00:25:53,640 --> 00:25:56,840
Speaker 3: know what specifically he was thinking about. And I got

475
00:25:56,840 --> 00:25:57,840
Speaker 3: to get my life together.

476
00:25:58,119 --> 00:25:58,280
Speaker 4: Now.

477
00:25:58,320 --> 00:26:00,159
Speaker 3: You know, I'm sitting with a forty year old. You

478
00:26:00,200 --> 00:26:04,360
Speaker 3: can imagine all kinds of scenarios a fourteen year old.

479
00:26:04,720 --> 00:26:08,120
Speaker 3: I'm not sure what, but anyway, I said, I told

480
00:26:08,160 --> 00:26:09,840
Speaker 3: them I might hit the sweet spot of AI.

481
00:26:10,000 --> 00:26:10,960
Speaker 2: Joe and I min or people.

482
00:26:11,000 --> 00:26:15,400
Speaker 3: Our age of it comes along, and you know we're

483
00:26:15,440 --> 00:26:17,800
Speaker 3: ready to be done working any way, and the universal

484
00:26:17,800 --> 00:26:21,119
Speaker 3: basic income hits and you know the salad days are

485
00:26:21,240 --> 00:26:25,840
Speaker 3: upon me and I've already done the go out there

486
00:26:25,880 --> 00:26:28,680
Speaker 3: and have meaning and life thing for.

487
00:26:28,760 --> 00:26:32,439
Speaker 2: Long enough, so coast on until it really finished. Line.

488
00:26:32,880 --> 00:26:35,120
Speaker 1: Yeah, it's true, and I hate to pile on at

489
00:26:35,119 --> 00:26:38,600
Speaker 1: the old man yelling at Cloud's theme, but there are times.

490
00:26:38,680 --> 00:26:41,440
Speaker 1: I mean, like, for instance, Jack, you probably haven't gotten

491
00:26:41,480 --> 00:26:44,040
Speaker 1: a chance to read it yet, but I was power

492
00:26:44,240 --> 00:26:47,080
Speaker 1: reading a piece that our friend Tim Sanderfer sent us

493
00:26:47,160 --> 00:26:50,360
Speaker 1: about the nature of the music industry right now and

494
00:26:50,960 --> 00:26:54,560
Speaker 1: about how sink music, which is like old production music

495
00:26:54,560 --> 00:26:58,000
Speaker 1: and radio, the music you'd hear under a grocery store

496
00:26:58,080 --> 00:27:00,240
Speaker 1: ad or whatever up eat and cherry and whatever ever

497
00:27:00,560 --> 00:27:01,720
Speaker 1: you know, in pairs or.

498
00:27:01,720 --> 00:27:05,240
Speaker 2: Three for a dozen or whatever. That's a good price

499
00:27:05,280 --> 00:27:05,760
Speaker 2: for pairs.

500
00:27:06,040 --> 00:27:10,120
Speaker 1: Oh please come on, get a couple of dozen anyway. Ah,

501
00:27:10,359 --> 00:27:13,560
Speaker 1: but how that's now, That is what pop music is.

502
00:27:14,400 --> 00:27:17,720
Speaker 1: People are not writing music to be listened to and

503
00:27:17,920 --> 00:27:20,919
Speaker 1: enjoyed as an art form because there's no money in

504
00:27:20,960 --> 00:27:23,359
Speaker 1: it unless you're one of the super giants. It's all

505
00:27:23,520 --> 00:27:29,200
Speaker 1: music for TikTok videos, for TV shows, for YouTube videos.

506
00:27:29,800 --> 00:27:35,720
Speaker 1: And weirdly, pop music is now imitating the background music

507
00:27:35,800 --> 00:27:39,840
Speaker 1: from TikTok videos. So which one is which is now

508
00:27:39,880 --> 00:27:44,560
Speaker 1: completely unclear, And I'm sitting here thinking it's like I've

509
00:27:44,560 --> 00:27:49,040
Speaker 1: been transported to a foreign country. The culture's weird. I

510
00:27:49,080 --> 00:27:51,879
Speaker 1: don't like the food, and I want to go home.

511
00:27:52,840 --> 00:27:54,320
Speaker 1: I don't want to stay here.

512
00:27:58,880 --> 00:27:59,360
Speaker 2: I don't know.

513
00:27:59,600 --> 00:28:05,199
Speaker 1: I I remember famously a musicologist who was talking about

514
00:28:05,880 --> 00:28:09,080
Speaker 1: the Sergeant Pepper's album, the Beatles album. He said that

515
00:28:09,240 --> 00:28:14,080
Speaker 1: was the moment where clearly pop music went from ritual

516
00:28:14,160 --> 00:28:18,840
Speaker 1: dance music to music for listening. And I thought, that's

517
00:28:18,920 --> 00:28:21,800
Speaker 1: really interesting observation. And you know, you can cite other

518
00:28:21,960 --> 00:28:24,200
Speaker 1: works of oht blah blah blah, but it's mostly true.

519
00:28:24,960 --> 00:28:33,960
Speaker 1: And now we're in an era where it's becoming background

520
00:28:34,080 --> 00:28:41,280
Speaker 1: music for just mildly entertaining videos of people doing things.

521
00:28:41,400 --> 00:28:43,959
Speaker 1: That's what pop music is for people that make it,

522
00:28:44,040 --> 00:28:46,320
Speaker 1: because people still want to listen to good music, right,

523
00:28:47,240 --> 00:28:50,480
Speaker 1: some do, But again pop music is now imitating the

524
00:28:50,520 --> 00:28:53,880
Speaker 1: background music for TikTok videos, or it's impossible to tell

525
00:28:53,920 --> 00:28:56,760
Speaker 1: the difference which is which. And it was talking about

526
00:28:56,760 --> 00:28:59,600
Speaker 1: how they're for some reason twenty one second I don't

527
00:28:59,640 --> 00:29:02,400
Speaker 1: know why, but they're looking for that roughly twenty one

528
00:29:02,520 --> 00:29:07,480
Speaker 1: second grabber piece of music. It's like the hook or whatever,

529
00:29:07,560 --> 00:29:09,840
Speaker 1: but that's gonna be the part that's going to be

530
00:29:09,920 --> 00:29:12,800
Speaker 1: in the videos. And so anybody who's making pop music

531
00:29:12,840 --> 00:29:15,160
Speaker 1: wants to be sure that that comes like super early

532
00:29:15,200 --> 00:29:17,440
Speaker 1: in the song, so that somebody will start using that

533
00:29:17,520 --> 00:29:21,320
Speaker 1: song for whatever, you know, a reality show or a

534
00:29:21,360 --> 00:29:24,719
Speaker 1: TikTok video or whatever. And it's just, you know what,

535
00:29:24,760 --> 00:29:28,200
Speaker 1: we need to change definitions. If you like music as art,

536
00:29:28,560 --> 00:29:33,600
Speaker 1: don't look there anymore, right, don't look for diamonds in

537
00:29:33,640 --> 00:29:34,640
Speaker 1: a gold mine.

538
00:29:34,760 --> 00:29:36,040
Speaker 2: You're wasting your time.

539
00:29:37,880 --> 00:29:40,959
Speaker 3: Yeah, I feel like because I just love that Olivia

540
00:29:41,040 --> 00:29:43,720
Speaker 3: Dan album that won Grammy for Best New Artist. Freaking

541
00:29:43,800 --> 00:29:47,880
Speaker 3: listen to at least one song every single day more. Yeah, God,

542
00:29:47,960 --> 00:29:51,720
Speaker 3: she's a R and B genius. But anyway, that's real

543
00:29:51,840 --> 00:29:53,280
Speaker 3: music with a real singer.

544
00:29:53,520 --> 00:29:54,160
Speaker 2: No on the scene.

545
00:29:54,240 --> 00:29:57,280
Speaker 3: I just I can't imagine anything replacing that for me.

546
00:29:58,600 --> 00:30:00,840
Speaker 3: Maybe other people want to hear ai I generated twenty

547
00:30:00,840 --> 00:30:02,280
Speaker 3: one second TikTok songs. I don't know.

548
00:30:02,760 --> 00:30:04,640
Speaker 2: Yeah, it'll have a different role.

549
00:30:06,680 --> 00:30:10,840
Speaker 1: Societally and economically, but that's always been the case of music.

550
00:30:10,880 --> 00:30:15,520
Speaker 1: It always changes. Again, A great book to read on

551
00:30:15,560 --> 00:30:18,600
Speaker 1: that topic, and he ought to update it. David Byrne

552
00:30:18,600 --> 00:30:21,920
Speaker 1: of Talking Heads famous book is How Music Works. Really interesting,

553
00:30:21,960 --> 00:30:23,320
Speaker 1: thought provoking, gets.

554
00:30:23,160 --> 00:30:25,880
Speaker 2: A little bogged down towards you know, second half.

555
00:30:26,000 --> 00:30:30,840
Speaker 3: So so we haven't nailed down whether AI is going

556
00:30:30,880 --> 00:30:32,800
Speaker 3: to make a workplace better or worse.

557
00:30:32,880 --> 00:30:34,600
Speaker 2: At least according to this study, it's going to be

558
00:30:34,640 --> 00:30:36,480
Speaker 2: worse great.

559
00:30:38,920 --> 00:30:40,760
Speaker 3: Before the ultimate time comes where you don't have to

560
00:30:40,760 --> 00:30:42,400
Speaker 3: work at all.

561
00:30:42,480 --> 00:30:46,320
Speaker 2: But that's twenty years out, according to Elon all right,

562
00:30:47,000 --> 00:30:49,280
Speaker 2: I have no opinion on any of this. I'll prepare

563
00:30:49,320 --> 00:30:50,880
Speaker 2: my kids accordingly.

564
00:30:51,520 --> 00:30:55,560
Speaker 3: Yeah, good luck, we'll finish strong next.

565
00:30:56,480 --> 00:31:01,240
Speaker 2: It's a harder right field. Sod and watched it. Fly

566
00:31:01,520 --> 00:31:03,920
Speaker 2: Cat Leonis hit the third hole run of the game.

567
00:31:05,560 --> 00:31:07,800
Speaker 1: They're gonna need a fresh bag of beams over there

568
00:31:07,800 --> 00:31:09,080
Speaker 1: in that dugout.

569
00:31:09,560 --> 00:31:11,640
Speaker 2: So that's their home run celebration.

570
00:31:11,800 --> 00:31:14,000
Speaker 3: They run over to the espresso machine and they all

571
00:31:14,040 --> 00:31:17,520
Speaker 3: take a shot of espresso after a home run, then

572
00:31:17,560 --> 00:31:21,280
Speaker 3: smoke a cigarette, and they had several of them when

573
00:31:21,360 --> 00:31:27,200
Speaker 3: Italy beat the United States eight six yesterday. That's kind

574
00:31:27,240 --> 00:31:29,080
Speaker 3: of a funny home run celebration. But here's something I

575
00:31:29,080 --> 00:31:31,800
Speaker 3: didn't know. I might have actually possibly been rooting for

576
00:31:31,840 --> 00:31:35,800
Speaker 3: Italy if I'd have known this at the time. They

577
00:31:35,840 --> 00:31:38,840
Speaker 3: got twenty one players born in the United States on

578
00:31:38,880 --> 00:31:41,760
Speaker 3: their team. You just need to have some Italian heritage,

579
00:31:41,760 --> 00:31:43,840
Speaker 3: and I don't think they're very strict on that. It's

580
00:31:43,960 --> 00:31:47,560
Speaker 3: guys who couldn't make the US team who would love

581
00:31:47,600 --> 00:31:50,440
Speaker 3: to be on the US team because they got beaten

582
00:31:50,480 --> 00:31:51,600
Speaker 3: out by people that are.

583
00:31:51,640 --> 00:31:52,440
Speaker 2: Better than them.

584
00:31:52,880 --> 00:31:55,920
Speaker 3: You think they were motivated to beat the All Star team.

585
00:31:56,560 --> 00:31:58,840
Speaker 3: There's a bunch of Major League baseball players who would

586
00:31:58,880 --> 00:32:00,560
Speaker 3: love to play for the US team.

587
00:32:00,720 --> 00:32:02,040
Speaker 2: Oh yeah, yeah, I mean.

588
00:32:01,920 --> 00:32:04,800
Speaker 3: That it would be very exciting kicking the ass of

589
00:32:05,360 --> 00:32:09,080
Speaker 3: Judge and Bryce Harper and all those different.

590
00:32:08,920 --> 00:32:10,640
Speaker 2: US Oh absolutely, yeah.

591
00:32:10,720 --> 00:32:15,720
Speaker 1: I'm looking at the names Jack Caglian and Sam Antonacci. Yeah,

592
00:32:15,760 --> 00:32:18,959
Speaker 1: these are people who got like their grandmother grew up

593
00:32:19,000 --> 00:32:21,640
Speaker 1: in Sicily or whatever. The Italians are like good enough,

594
00:32:21,640 --> 00:32:23,440
Speaker 1: come play ball, you're a major leaguer.

595
00:32:23,760 --> 00:32:26,040
Speaker 3: Hey, I mean i'd brother to the United States win

596
00:32:26,080 --> 00:32:28,960
Speaker 3: that Italy wins. But I could see rooting for the

597
00:32:29,520 --> 00:32:30,960
Speaker 3: Oh I'm not good enough to be on the team,

598
00:32:31,160 --> 00:32:35,880
Speaker 3: take a suck of its. Yeah yeah, but so Italy,

599
00:32:36,000 --> 00:32:37,720
Speaker 3: I got it, I had it wrong or I was misled.

600
00:32:37,960 --> 00:32:41,240
Speaker 3: Italy has to win today to pull the United States.

601
00:32:41,400 --> 00:32:44,480
Speaker 3: Italy has to beat Mexico. Italy will beat Mexico unless

602
00:32:44,520 --> 00:32:46,080
Speaker 3: they just have a bad day because they've.

603
00:32:45,880 --> 00:32:50,080
Speaker 2: Been trouncing everybody. Oh really, yeah, yeah, I've.

604
00:32:49,960 --> 00:32:57,600
Speaker 1: Got a baseball related final thought, but they can wait.

605
00:33:07,000 --> 00:33:08,880
Speaker 2: Here's yours for final thoughts, Joe Getty.

606
00:33:09,120 --> 00:33:10,920
Speaker 1: Let's get a final thought from everybody on the crew

607
00:33:10,960 --> 00:33:12,240
Speaker 1: to wrap up the show for the day. There he

608
00:33:12,320 --> 00:33:14,400
Speaker 1: is pressing the buttons, Mike Langelow in the control room.

609
00:33:14,400 --> 00:33:17,680
Speaker 2: Michael, which final thought? You see how good Italy's team is? Jack?

610
00:33:17,800 --> 00:33:22,800
Speaker 2: How about an expressoap machine in your studio? A Yeah,

611
00:33:22,920 --> 00:33:23,360
Speaker 2: I love it.

612
00:33:23,720 --> 00:33:28,040
Speaker 1: I love a nice espresso in the afternoon. Myself, Katie

613
00:33:28,040 --> 00:33:30,880
Speaker 1: Greener's didn't use woman as a final thought. Katie.

614
00:33:30,960 --> 00:33:33,120
Speaker 3: As I sit here with my iced water, I am

615
00:33:33,200 --> 00:33:37,640
Speaker 3: still completely baffled by Jack's preference of drinking warm water.

616
00:33:37,920 --> 00:33:41,520
Speaker 2: Yeah. I've always been though after for room temperature water sick.

617
00:33:41,560 --> 00:33:44,040
Speaker 2: It's perverse. Yeat, do you have a final thought? You weirdo.

618
00:33:44,400 --> 00:33:49,040
Speaker 3: Italy beat Brazil eight nothing, then Great Britain seven four wow,

619
00:33:49,160 --> 00:33:51,160
Speaker 3: and then beat the United States. So I think they'll

620
00:33:51,160 --> 00:33:54,240
Speaker 3: probably beat Mexico today and then maybe a rematch Italy

621
00:33:54,320 --> 00:33:54,840
Speaker 3: United States.

622
00:33:54,840 --> 00:33:58,280
Speaker 2: That'd be exciting. So my final note is baseball related.

623
00:33:58,360 --> 00:33:59,760
Speaker 2: It's too Apple, the Apple Corporation.

624
00:34:00,040 --> 00:34:02,080
Speaker 1: Well, what if I was a major league ballplayer as

625
00:34:02,080 --> 00:34:04,760
Speaker 1: a hitter, and I went, oh, for three hundred and

626
00:34:04,800 --> 00:34:08,919
Speaker 1: seventy five, like twelve years in a row. What would

627
00:34:09,000 --> 00:34:11,800
Speaker 1: you tell me? You would tell me you gotta stop trying.

628
00:34:11,840 --> 00:34:15,920
Speaker 1: You're terrible at that. That's how you are with punctuating

629
00:34:16,040 --> 00:34:21,600
Speaker 1: my voice texts. You are utterly incompetent. It's hilariously wrong

630
00:34:21,719 --> 00:34:26,440
Speaker 1: and wrong headed. It's never good. You have no idea

631
00:34:26,440 --> 00:34:30,000
Speaker 1: what you're doing. Just stop trying. How is it not better?

632
00:34:31,440 --> 00:34:33,239
Speaker 1: And I swear it's gotten worse over the years as

633
00:34:33,280 --> 00:34:37,040
Speaker 1: opposed to better. Armstrang time I paused to pick the

634
00:34:37,120 --> 00:34:39,080
Speaker 1: right word. You don't have to put a comma in.

635
00:34:40,640 --> 00:34:42,800
Speaker 2: I'm strong in getting rabbing up, but O they're grueling

636
00:34:42,880 --> 00:34:43,800
Speaker 2: four hour workday.

637
00:34:44,000 --> 00:34:46,360
Speaker 1: So many people thanks the little time, good armstrong Getty

638
00:34:46,360 --> 00:34:50,400
Speaker 1: dot com. Many pleasures await you there, including the hop links,

639
00:34:50,960 --> 00:34:54,320
Speaker 1: the ang Swag Store, the Katie's corner.

640
00:34:54,320 --> 00:34:56,920
Speaker 2: You can drop us a note. See you tomorrow. God

641
00:34:57,239 --> 00:35:03,200
Speaker 2: bless America. I'm strong and Getty. You gonna make a

642
00:35:03,440 --> 00:35:04,839
Speaker 2: very obvious point number one.

643
00:35:04,960 --> 00:35:07,120
Speaker 1: I gotta see if Judy's willing to rent me out

644
00:35:07,120 --> 00:35:08,319
Speaker 1: as a jigglow because I.

645
00:35:08,280 --> 00:35:13,919
Speaker 2: Am a natural born lover man. Never say that again,

646
00:35:14,800 --> 00:35:17,960
Speaker 2: hear me? Plainly. What I'm telling you is I'm an idiot. Yeah,

647
00:35:17,960 --> 00:35:18,800
Speaker 2: he's a damn idiot.

648
00:35:18,800 --> 00:35:22,680
Speaker 5: Oh yes, it's a pathetic spectacle of a man who's

649
00:35:22,760 --> 00:35:23,640
Speaker 5: run out of road.

650
00:35:24,760 --> 00:35:27,439
Speaker 2: Okay, let high know. Hi, good night everybody. I still

651
00:35:27,480 --> 00:35:30,040
Speaker 2: have this stuff, Baby Armstrong and Getty