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Speaker 1: Chris merrill in for John and KENKF I am six forty.

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Speaker 1: If you have turned on any national forecast, even the

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Speaker 1: local forecasts have the local spin on it, but the

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Speaker 1: national forecasts or the national news has been all about

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Speaker 1: how bad this bomb cyclone is, which I'm sure Stanford

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Speaker 1: will ban is a word for twenty twenty three because

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Speaker 1: it denotes violent connotations. Joining me right now is Alex Stone,

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Speaker 1: who also is enjoying southern California winter. Alex always going

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Speaker 1: to hear from you, man. It is hopefully you're not

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Speaker 1: having to fly out anywhere right now, because I know

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Speaker 1: it's been a mess in alien else. Yeah, it has

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Speaker 1: been a mess. And then that's the thing, you know,

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Speaker 1: when you talk about locally how it impacts a lot

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Speaker 1: of areas, that if you're flying on United there's a

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Speaker 1: good chance, if you're going far enough, you may be

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Speaker 1: gone through Denver, Chicago, if you're going on American, maybe

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Speaker 1: through Dallas, if you're going on Delta soon to be

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Speaker 1: Atlanta being impacted as well. And even if you're not

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Speaker 1: going through those cities, your plane may have been or

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Speaker 1: your crew may have been scheduled to go through one

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Speaker 1: of those hubs. For the different airlines. So we are

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Speaker 1: in cancelations of lax. It is a pain of what's

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Speaker 1: going on, but nothing compared to if you're in Denver

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Speaker 1: or Chicago, or in Dallas. And I mean just some

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Speaker 1: of these temperatures. Chyenne today a windchill of negative fifty

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Speaker 1: during the middle of the day, the real temperature not

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Speaker 1: even though the windchill negative eight in Denver, ice in Dallas.

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Speaker 1: And that's a bad news. Denver, Dallas, Chicago, all the

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Speaker 1: major airline hubs Denver, United in Frontier, Chicago, United in Southwest, Dallas,

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Speaker 1: American in Southwest. And what that comes down to is

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Speaker 1: a mess. And travelers were warned on Monday. Airline started

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Speaker 1: telling them, hey, there are waivers. You can read book

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Speaker 1: because if you're on a canceled flight today, good luck

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Speaker 1: on getting onto another one later today or tomorrow or Saturday.

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Speaker 1: Then all of a sudden, you're after Christmas and you

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Speaker 1: probably aren't where you want to be. That it could

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Speaker 1: be a while because flights are so full, pays are

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Speaker 1: so full, that where do they put you if you say,

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Speaker 1: put me on the next one, the next one tomorrow,

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Speaker 1: and like Chicago could be even worse. They're pre canceling

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Speaker 1: a lot of flights tomorrow in the Chicago and elsewhere,

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Speaker 1: and then as it moves, the storm system moves east,

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Speaker 1: so tomorrow isn't gonna be better, But there are no

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Speaker 1: open seats because the planes are full and everybody's trying

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Speaker 1: to travel. So it's once you find out your flight's canceled,

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Speaker 1: it could be a number of days. It could be

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Speaker 1: the middle of next week, the end of next week

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Speaker 1: before they gave you out. Broughtica Wyman, she's stuck at Chicago,

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Speaker 1: a hair telling our cruise hired shot hungry. That's hopeless, honestly.

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Speaker 1: And the numbers right now, Chris, it's going up by

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Speaker 1: the minute. A few minutes ago with seventeen hundred flights,

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Speaker 1: it is now the total number of canceled flights in

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Speaker 1: the US almost nineteen hundred with oh wait, no, I'm sorry,

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Speaker 1: that's that's sort tomorrow, nineteen hundred already in the US,

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Speaker 1: mosos being Southwest Airlines. Today it is worse than that,

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Speaker 1: twenty three hundred right now today, with almost eight thousand

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Speaker 1: delays in the US, most of those being on Southwest

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Speaker 1: and United but Southwest eight hundred forty six flights canceled

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Speaker 1: today fourteen hundred more that have been delayed. The number

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Speaker 1: one they keep going back and forth airports in the

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Speaker 1: world for flight cancelations. Denver is number one, Chicago Hair

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Speaker 1: and number two Chicago Midway, then below them, but O'Hair

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Speaker 1: has been number one and then Denver, and they keep

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Speaker 1: going back and forth. Colorado yesterday, and I remember when

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Speaker 1: I lived in Colorado would do this every now and

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Speaker 1: then when the cold front comes in. Dropped thirty two

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Speaker 1: degrees in nine minutes. I mean, that's just crazy. As

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Speaker 1: that front moved over the area around Denver thirty two

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Speaker 1: degrees in nine minutes a beautiful day. Yesterday it is

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Speaker 1: one degree in Denver. Right now, this couple trying to

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Speaker 1: get to Minneapolis, hoping we make it there on time

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Speaker 1: and safely. And once we get there, we're hoping we

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Speaker 1: can drive safely to our destination. And yet numerous areas

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Speaker 1: where highways have been shut down because of bad accidents

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Speaker 1: and ice. Washington State they've had a few Wichita, Nebraska

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Speaker 1: major highways that have been shut down. Dallas, they're de

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Speaker 1: icing the planes, and then all of this moves east.

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Speaker 1: I mean, it's incredible when you see it on radar

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Speaker 1: from the Canadian border down to the Gulf of Mexico.

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Speaker 1: One sweeping line of just cold and snow moving in.

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Speaker 1: So now Atlanta is going to get it. That's gonna

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Speaker 1: be Delta Airlines tomorrow. Detroit is going to be a

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Speaker 1: major airport with the flight cancelations Philly, and then then

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Speaker 1: I'll go New York and everywhere else. So the Governor

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Speaker 1: of Georgia talking to people around Atlanta and elsewhere, saying

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Speaker 1: communities across the state or about the state temperatures as

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Speaker 1: they haven't experienced in a decade or more. Colorado, they've

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Speaker 1: called out the National Guard. They're helping with warming centers

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Speaker 1: and shelters that are opened. So it's going to be

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Speaker 1: a rough few days. There's talking to a buddy in

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Speaker 1: Milwaukee that they've got extreme winter store more with the

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Speaker 1: wind and blizzard conditions all the way through Saturday now

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Speaker 1: and so it's not going to get any better. If

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Speaker 1: you're trying to travel to any of those areas, good luck,

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Speaker 1: because there's a very strong chance you're not going to

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Speaker 1: get there. Talking with Alex Stone, he's our ABC News correspondent,

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Speaker 1: and Alex is here in Los Angeles with the rest

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Speaker 1: of US. I was talking to my folks there in

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Speaker 1: northern Michigan. And anytime there's a blizzard warning, which is

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Speaker 1: what my folks are under right now, Pops always says, well,

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Speaker 1: you know a dem that's not gonna cut you know,

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Speaker 1: you know dem, which I guess means that everything we

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Speaker 1: were talking about is all fabricated. Alex. But as you

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Speaker 1: pointed out, the temperature about thirty plus degrees in nine

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Speaker 1: minutes there in Denver. I also lived in Colorado. I

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Speaker 1: was up the hill there in Avon Vale area, and

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Speaker 1: I remember watching and we would have it be real cold,

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Speaker 1: and then we turn on the Denver news just to

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Speaker 1: watch as it hit Denver. As it came out of

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Speaker 1: the hills and then into Denver, we just knew it

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Speaker 1: was going to be even worse for the people who

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Speaker 1: were who were in the Mile High City watching those guys.

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Speaker 1: If you were the you were in the Price area

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Speaker 1: of Colorado, you know, you could sit up there from

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Speaker 1: high and watch us down in Denver and watch the

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Speaker 1: storm come in there. Yeah. I mean, I guess we

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Speaker 1: get we get blamed for fake news for everything storms included,

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Speaker 1: and you know, but some of this you look at,

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Speaker 1: you know, and it's kind of like the phenomenon you

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Speaker 1: see in Florida when a hurricane is coming in. The

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Speaker 1: airlines did warn and I think, you know a lot

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Speaker 1: of people thought, well and the animal take our chances,

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Speaker 1: we'll see what goes on. And the airline said on Monday, look,

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Speaker 1: this is going to be really bad. Chicago is going

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Speaker 1: to be really messed up. Denver is going to be

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Speaker 1: really messed up. Rebook now, don't go through a hub

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Speaker 1: if you don't have to, or you know, try to

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Speaker 1: get in somewhere else, or go a day earlier before

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Speaker 1: the storm comes in. And a lot of people either

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Speaker 1: couldn't do it or didn't do it. But this is

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Speaker 1: one where you know, sometimes we say, oh, the airlines

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Speaker 1: weren't ready. They didn't. They did say that they were

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Speaker 1: getting things in place to do the best that they could,

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Speaker 1: but you can only do so much. And they were

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Speaker 1: telling people, you know, for no fee before this, figure

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Speaker 1: out what you're going to do, because you may not

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Speaker 1: make it to Christmas Eve or Christmas Day because it's

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Speaker 1: going to get really bad. And we're seeing that right now,

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Speaker 1: and you know, some people may have chanced it or

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Speaker 1: just couldn't make any change. And now Unfortunately, they may

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Speaker 1: not be able to get there, so they're stuck at

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Speaker 1: the airport somewhere. Are any of these airlines offering vouchers

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Speaker 1: for people that just say, forget it, We're just going

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Speaker 1: to cancel our Christmas plans and maybe we'll make up

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Speaker 1: for it, you know, in the spring. Yeah, So if

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Speaker 1: you want to cancel completely, then then most of them

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Speaker 1: and then in most cases, if they cancel your flight,

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Speaker 1: they have to give you your money back now yet

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Speaker 1: but not typically hotels or food that a lot of

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Speaker 1: people will demand them. But when it's weather, they don't

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Speaker 1: have to do that. It had it been their mess

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Speaker 1: up and you know, mechanical problem or scheduling, then then

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Speaker 1: they would have to do that. They would be on

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Speaker 1: the hook. When it's weather, they don't have to do it.

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Speaker 1: So you end up sleeping at the airport. They don't

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Speaker 1: have to pay for anything. It's going to be uncomfortable

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Speaker 1: Denver oys, you know, they bring out their snow cots

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Speaker 1: that they put all around the terminals. They will have

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Speaker 1: the cots out tonight and they're going to do the

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Speaker 1: best they can. Look, they built Denver to withstand bad snow,

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Speaker 1: building so many runways in every which direction, so no

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Speaker 1: matter what the wind was doing, you know, heated taxiways

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Speaker 1: and runways all that. When today Denver has canceled two

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Speaker 1: hundred and sixty seven flights, when it is that bad

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Speaker 1: in a newer airport built in the late nineties, when

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Speaker 1: they have that many delayed and canceled flights, it shows

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Speaker 1: you it's pretty bad. The other thing, though, is the

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Speaker 1: human factor and all of this. When it is windshill

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Speaker 1: of negative fifty degrees, you think of the baggage handlers,

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Speaker 1: the fuelers, everybody else there is. It's the wind is

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Speaker 1: a major component in all of this. The snow is

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Speaker 1: a major component. But then you bring in d icing

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Speaker 1: that delays everything when they've got to do that, which

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Speaker 1: they're doing. But the baggage handlers and others can only

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Speaker 1: be out there for a certain amount of time before

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Speaker 1: they have to go in and warm up, and so

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Speaker 1: that slows things down. You can't have them going NonStop

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Speaker 1: on every flight. So this is one thing after another that, Yeah,

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Speaker 1: you get dis delayed and that delay and then the

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Speaker 1: baggage handlers can't be out for as long, and then

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Speaker 1: the fuelers can't be out for as long, and you

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Speaker 1: get what we got today, and then it rolls downhill

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Speaker 1: to affecting Burbank and you know, Lawrence County and Lax

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Speaker 1: and Santa Barbara and then everybody's feeling it and they

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Speaker 1: definitely are right now. Alex Downer, ABC News Coure Spot,

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Speaker 1: I love talking to you, Pal, have a have a

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Speaker 1: merry Christmas, and I appreciate all the work that you do.

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Speaker 1: You're in and you're out, my friend. Thanks Chris, Thanks Pal.

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Speaker 1: All Right, we'll talk about the trendiest topics of the

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Speaker 1: day next, Chris Meryl. We'll see if you can guess

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Speaker 1: what is the biggest trend next, Chris Meryll in for

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Speaker 1: John and Kenky if I am six forty, We're live

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Speaker 1: everywhere and your eye Heart Radio. I thought i'd take

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Speaker 1: a look at some of the what was trending throughout

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Speaker 1: the day, just kind of keep an eye on everything

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Speaker 1: that's going on, and some topics, you know, caught my eye.

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Speaker 1: Tesla was trending. Actually, the the stock symbol for Tesla,

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Speaker 1: which is a dollar signed Tsla, was trending earlier today

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Speaker 1: because at one point Tesla hit their fifty two weeks low.

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Speaker 1: They were down more than ten percent. Tesla was they

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Speaker 1: ended up closing down just shy of nine percent. Come

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Speaker 1: to find out, Tesla is the most profitable short pick

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Speaker 1: of twenty twenty two. A lot of this comes down

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Speaker 1: to Elon Musk. Much of this decline happened when he

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Speaker 1: announced he was going to buy Twitter. Now, they were

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Speaker 1: down this summer, but they sort of climbed back up

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Speaker 1: by the end of summer. They were down late spring,

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Speaker 1: early summer, they climbed back up. And then about the time,

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Speaker 1: which was what September October, I guess that he said

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Speaker 1: he was going to buy Twitter for forty four billion dollars.

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Speaker 1: And the more he was tweeting about his purchase and

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Speaker 1: then tweeting out his sort of erratic new rules that

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Speaker 1: were changing by the day, people started saying, one, is

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Speaker 1: he that much of a genius like we all thought

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Speaker 1: he was, or and some of you are saying, I

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Speaker 1: never thought he was good on you, or two he's

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Speaker 1: so erratic? Is he even paying attention to Tesla anymore?

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Speaker 1: If the stock price in Tesla was so high because

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Speaker 1: people believed in his genius, then surely if he's not

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Speaker 1: paying attention to Tesla any longer, he's not applying his

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Speaker 1: genius to Tesla and with no leadership at the helm there,

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Speaker 1: how is that gonna perform? It's not going to do

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Speaker 1: very well. And so that was trending today. I did see, Yeah,

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Speaker 1: here it this, Max Burns tweeted, facing layoffs, employee unrest,

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Speaker 1: and investor discontent over his preoccupation with Twitter. Elon Musk's

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Speaker 1: Tesla has tumbled nearly ten percent today. Tesla's down nearly

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Speaker 1: seventy percent for the year, far and away the biggest

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Speaker 1: percentage loss of any major automaker. One of the big

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Speaker 1: trending topics today. The other one that started trending later

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Speaker 1: in the day was Palo Alto And I thought, why

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Speaker 1: is Palo Alto trending? And so, of course, you know,

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Speaker 1: I did my diligence and I clicked on it, because

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Speaker 1: that's what I do. I click on clickbait. Palo Alto

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Speaker 1: started trending. And if you've been listening to the program,

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Speaker 1: and I'll tell you've probably heard me make a little

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Speaker 1: snide remarks about Palo Alto, because that's where Sam Bankman freed,

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Speaker 1: the guy who was at the head of FTX when

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Speaker 1: it collapsed and is now under indictment for a range

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Speaker 1: of securities, broad and everything else. That's where he is

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Speaker 1: going to be spending his time while he's out on bond.

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Speaker 1: He's out on bail, but the bail was achieved through

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Speaker 1: a bond which basically held his parents' house as collateral.

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Speaker 1: He will have to be. He will have to be.

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Speaker 1: He'll have to stay at his parents house, their mansion

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Speaker 1: in Palo Alto. I believe he's also allowed to go

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Speaker 1: to New York. I think he's allowed to go there

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Speaker 1: for I don't know, business of some sort. But just

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Speaker 1: the same, he's got to wear an ankle monitor and

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Speaker 1: he's gonna have to be supervised from a mansion in

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Speaker 1: Palo Alto. So Palo Alto ends up trending on Twitter.

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Speaker 1: Was reading one of the tweets in response to this,

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Speaker 1: Alexandra huck posted breaking Sam Bankman freed two hundred and

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Speaker 1: fifty million dollar bail secured by parents Palo Alto house.

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Speaker 1: There are sixty homes for sale in Palo Alto, ranging

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Speaker 1: from nine hundred fifty thousand to fifty three point nine

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Speaker 1: million as of December twenty twenty two. Joseph Bankman's net

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Speaker 1: worth with five million dollars. That's Sam Bakman's Sam Bakman

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Speaker 1: Freed's father, his mother, Barbara Freed three point eight million.

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Speaker 1: Sam Bakman Freed had one hundred thousand dollars left. The

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Speaker 1: math doesn't add up. One hundred percent agree. Assuming that

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Speaker 1: Bankman Freed's mansion in Palo Alto was at the high

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Speaker 1: end of the asking price in that region and was

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Speaker 1: at let's say, fifty four million dollars plus Bankman's net

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Speaker 1: worth at five million, plus Freed's net worth his mother's

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Speaker 1: net worth Jeshia four million, were still only in that

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Speaker 1: neighborhood of sixty some odd mill million dollars. How in

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Speaker 1: the world does he secure a bond for two hundred

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Speaker 1: and fifty million dollars. One hundred percent agree, the math

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Speaker 1: doesn't add up. And finally, the other trending topic that

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Speaker 1: I wanted to bring your attention today was a tweet

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Speaker 1: that went out talking about Texas and a new fully

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Speaker 1: automated McDonald's. The trending topic was Texas is seven dollars

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Speaker 1: twenty five cents. What happened is, let me see I've

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Speaker 1: got the actual tweeting from you. Let me just open

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Speaker 1: this tweet, he says. Elijah Schaeffer posted, you asked for

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Speaker 1: twenty five dollars minimum wage, you get first fully automated

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Speaker 1: McDonald's in Texas, And so it's a new story about this.

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Speaker 1: Excuse me, it's a TikTok about this automated McDonald's. You

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Speaker 1: walk in, you place your order at the kiosk, the

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Speaker 1: food is prepared by robots, and it's then distributed to

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Speaker 1: you via robots. The Internet went bonkers because he equated

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Speaker 1: the fully automated McDonald's with people asking for twenty five

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Speaker 1: dollars minimum wage. First of all, nobody asking for twenty

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Speaker 1: five dollars minimum wage are asking for fifteen dollars minimum wage.

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Speaker 1: But people love to point out that, no, the minimum

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Speaker 1: wage in Texas is seven to twenty five and has

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Speaker 1: been since two thousand and nine, hasn't changed in thirteen years.

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Speaker 1: If we were to adjust that for inflation, it would

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Speaker 1: be the equivalent of five dollars and fifteen five dollars

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Speaker 1: fifteen cents per hour today, or what would be five

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Speaker 1: to fifteen and two thousand and nine, that's what seven

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Speaker 1: twenty five is worth today. The minimum wage in Texas

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Speaker 1: for teenagers, adjusted for inflation would be three dollars and

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Speaker 1: two cents. In two thousand and nine, it's actually four

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Speaker 1: and a quarter for a waitress or weight staff. The

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Speaker 1: minimum wage in Texas is two dollars and thirteen cents,

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Speaker 1: no change on that in thirty one years. If you

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Speaker 1: were to take that two dollars and thirteen cents when

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Speaker 1: that became the minimum wage for weight staff in Texas

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Speaker 1: and adjusted that for inflation, it would be the equivalent

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Speaker 1: of ninety six cents back in nineteen eighty one when

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Speaker 1: that took effect. Ninety one excuse me, math, bad me.

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Speaker 1: So I don't think minimum wage is the reason McDonald's

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Speaker 1: is looking for new innovation. Not the case whatsoever. While

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Speaker 1: those are the trendy topics on the Twitter machine, I'm

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Speaker 1: I'm a super radio geek, and so I was looking

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Speaker 1: at the trades today and I found the biggest news

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Speaker 1: topics that you may have heard on talk radio year round.

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Speaker 1: And frankly, I'm a little disappointed. I think we're getting lazy.

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Speaker 1: I'll tell you what those are next. Chris Merrill in

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Speaker 1: for John and km K IF I am six forty

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Speaker 1: five excuse me, Live everywhere in your Heart Radio Apple.

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Speaker 1: This week it's Safeway enjoy big savings with the Bogo sail,

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Speaker 1: where select items throughout the store are buy one, get

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Speaker 1: one free. With this week's Bogo sale gets select meets

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Speaker 1: like Signature Farms, ninety percent lean ground b four boneless

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Speaker 1: skinless chicken breasts or thighs one get one free, plus

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Speaker 1: select fresh produce items like one pound containers of sweet

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Speaker 1: strawberries or containers of blueberries, or buy one, get one free.

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Speaker 1: Safe way. Come in and explore and see what other

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Speaker 1: deals you can find. I have to tell you, if

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Speaker 1: I'm being honest, Mark, maybe you can back me up

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Speaker 1: on this. I have listened to a lot of talk radio,

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Speaker 1: and I think ninety five percent of what's on talk

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Speaker 1: radio out there is just rehashing political talking points and

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Speaker 1: it makes me crazy. Oh yeah, yeah, no doubt about it.

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Speaker 1: I've been a talk radio fan since I was a child.

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Speaker 1: And you can you can you get this sense when

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Speaker 1: you hear something in the news and you think, oh God,

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Speaker 1: I'm going to be hearing about this forever. Yeah, you're right,

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Speaker 1: Or you kind of hear the latest manufactured controversy and

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Speaker 1: all of a sudden you're like, oh, this is gonna

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Speaker 1: be a this is gonna be a deal. The latest

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Speaker 1: was this, you know, the title forty two argument about

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Speaker 1: immigration and the title forty two maybe coming to an end.

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Speaker 1: That was basically where if somebody has apprehended the border,

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Speaker 1: the border patrol can just kind of point him in

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Speaker 1: the other directions, say you go back, and then it

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Speaker 1: may come to an end. Which, my goodness, it was

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Speaker 1: wall to wall coverage on how the invasion was about

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Speaker 1: to begin, and I thought, holy crap, I mean, this

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Speaker 1: is this is worse than the weather man talking about

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Speaker 1: twenty four inches of snow coming right. I mean, it's

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Speaker 1: just like, just calm your horses for a minute, stop

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Speaker 1: saying invasion. You know, it's like you just see it coming,

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Speaker 1: like this is gonna be painful and h And I

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Speaker 1: get frustrated by that because I don't think it's entertaining.

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Speaker 1: And I don't think it's entertaining. I don't think it's engaging.

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Speaker 1: I don't think it's informative. I think it's reactionary and manufactured.

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Speaker 1: And I get really frustrated by all of that. I

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Speaker 1: get so frustrated, which is why. And I don't need

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Speaker 1: to blow smoke here, but it's such a relief when

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Speaker 1: I listen to KFI because if it's the big news story,

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Speaker 1: it's like, here's the big news story, here's the context.

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Speaker 1: And if it's just life, it's like life is going on,

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Speaker 1: let's we only get one, let's just have some fun

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Speaker 1: with it. I love listening to Gary and Shannon because

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Speaker 1: it's like, let's just enjoy what we got, you know,

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Speaker 1: freaking love that So much easier to listen to than

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Speaker 1: somebody who's just wringing their hands with whatever the latest

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Speaker 1: talking point is. It drives me bonkers. I once I

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Speaker 1: had an argument with an operations manager at a station

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Speaker 1: I was at. We were looking toward whether or not

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Speaker 1: I was going to renew my contract, and both of

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Speaker 1: us were kind of on the fences to whether or

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Speaker 1: not we wanted to renew. And he says, you know,

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Speaker 1: you you don't really talk much about Trump? And I

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Speaker 1: said no. He said, well, I mean we're a political

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Speaker 1: station and I said no, we're a talk station. He says,

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Speaker 1: what do you mean? There's so much more to life

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Speaker 1: than what Trump did today. And he says, well, what

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Speaker 1: would you like to talk about? I said anything? I said,

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Speaker 1: discoveries on Mars, the you know, new flavor of Ben

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Speaker 1: and Jerry's that's being introduced, you know, some of the

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Speaker 1: local topics, homelessness, drug use, that's all very important, but

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Speaker 1: my god, we have to spend all day talking about Trump.

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Speaker 1: And he looked me square in the eye and I

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Speaker 1: will never forget this till the day I die. And

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Speaker 1: he said, so you just want to do talk radio?

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Speaker 1: What were you thinking? I looked at him and I go, well,

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Speaker 1: what is our radio station? We're a talk radio station,

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Speaker 1: and yeah, I do, I want to. And that's when

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Speaker 1: it was. I think it was apparent to both of

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Speaker 1: us that it wasn't the right fit at that moment,

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Speaker 1: which is too bad, you know, because I like that station,

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Speaker 1: I like the people I worked with. But it was like,

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Speaker 1: obviously management's vision of what this is is completely different

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Speaker 1: than what mine is. Because I thought, let's talk about

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Speaker 1: things that affect people on a daily basis, not just

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Speaker 1: Washington gossip, which is really unfortunately what so much talk

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Speaker 1: radio has becomes just become the latest gossip out of Washington.

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Speaker 1: I'll give an example. The Trades came out today, and

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Speaker 1: the Trades today talked about the top news slash talk

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Speaker 1: stories and people for twenty twenty two and Sadly, they're

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Speaker 1: all very predictable. This industry has become totally wrote and

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Speaker 1: so you can probably guess what they all are. The

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Speaker 1: top stories. Number one was mid term elections. All right,

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Speaker 1: fair enough, you know that's a huge story from a

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Speaker 1: news standpoint, right, But the problem that I have is

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Speaker 1: that I know where all the angles went on the

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Speaker 1: midterm elections. The angles are, is the election rigged? Is

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Speaker 1: there a red wave coming? None of it's the fun stuff.

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Speaker 1: There's no there's no mid term election. There's no twist

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Speaker 1: to it. Nobody's engaging with something different, and that disappoints me.

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Speaker 1: You know, like I want to know what the the

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Speaker 1: outgoing governor of a state is doing on election night,

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Speaker 1: or you know, maybe what they're not doing since they

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Speaker 1: don't have to campaign any longer. You know. That's I'd

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Speaker 1: like to know a little bit more about the people,

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Speaker 1: the inside, the actual person, not just the figurehead that

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Speaker 1: is running for office or was he in office, or

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Speaker 1: whatever else it is. I want to know the people. No,

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Speaker 1: that's not the thing. Number two a big story this

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Speaker 1: in twenty twenty two was the economy. Number three was

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Speaker 1: Trump Trump legal issues and presidential aspirations. Number four border

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Speaker 1: security slash Hunter Biden case I don't. I guess those

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Speaker 1: must have tied for the fourth most talked about topics.

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Speaker 1: So yeah, border security and Hunter Biden. Number five was

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Speaker 1: Russia Ukraine. So there you go, rounding it out to

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Speaker 1: urban crime slash gun control, race relations and LGBTQ rights,

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Speaker 1: social media, big tech COVID nineteen, or health and climate

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Speaker 1: change slash space exploration. Again, those two aren't really related,

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Speaker 1: but they must have tied for that tenth spot. Somehow,

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Speaker 1: I think this is just the editor making things up

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Speaker 1: as they go. The most talked about people. The number

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00:23:01,119 --> 00:23:03,320
Speaker 1: one most talked about person in twenty twenty two on

427
00:23:03,440 --> 00:23:09,119
Speaker 1: talk radio, according to the Trades, was Joe Biden. Forgive me,

428
00:23:09,800 --> 00:23:14,479
Speaker 1: I just don't think the president is that interesting. I'm sorry.

429
00:23:14,680 --> 00:23:18,720
Speaker 1: I know it's a consistent figure in the news and

430
00:23:18,800 --> 00:23:20,880
Speaker 1: for that, you know, it should be a top ten

431
00:23:20,920 --> 00:23:24,000
Speaker 1: most talked about individual. But my goodness, I was on

432
00:23:24,240 --> 00:23:27,159
Speaker 1: in San Diego back in twenty twelve. I started in

433
00:23:27,200 --> 00:23:31,679
Speaker 1: twenty twelve, and I was reading the same trade publication.

434
00:23:32,040 --> 00:23:36,639
Speaker 1: Was they feature consultants. Every issue has gotten, you know,

435
00:23:36,680 --> 00:23:38,840
Speaker 1: a consultant's article of the week or whatever else it is.

436
00:23:39,280 --> 00:23:42,160
Speaker 1: And I remember the consultant at the time said something about,

437
00:23:42,600 --> 00:23:47,359
Speaker 1: are you talking about Obama too much? And I looked

438
00:23:47,359 --> 00:23:50,119
Speaker 1: at my producer and I went, We're not. I was

439
00:23:50,200 --> 00:23:52,439
Speaker 1: so proud of that fact that we weren't harping on

440
00:23:52,480 --> 00:23:56,439
Speaker 1: what Obama did today every single day, and yet that

441
00:23:56,520 --> 00:24:00,520
Speaker 1: was the top topic every single day. I mean, unless

442
00:24:00,520 --> 00:24:02,679
Speaker 1: something big happened, then all of a sudden, that became

443
00:24:02,720 --> 00:24:04,600
Speaker 1: the you know, the topic du jour. But for the

444
00:24:04,600 --> 00:24:07,600
Speaker 1: most part, if there wasn't something breaking, there wasn't news

445
00:24:07,600 --> 00:24:09,280
Speaker 1: happening right then that was breaking news. It was like,

446
00:24:09,320 --> 00:24:11,359
Speaker 1: here's what Obama did today. He wore a tan suit.

447
00:24:12,119 --> 00:24:14,800
Speaker 1: Can do you believe he wore a tan suit? Er? Oh,

448
00:24:14,880 --> 00:24:17,280
Speaker 1: Obama took Air Force one to someplace. Oh, why is

449
00:24:17,320 --> 00:24:21,160
Speaker 1: he wasting the gas? Or it was just angry all

450
00:24:21,200 --> 00:24:25,200
Speaker 1: the time, and it frustrated me because I thought, why

451
00:24:25,320 --> 00:24:27,640
Speaker 1: are people talking about the president if the president isn't

452
00:24:27,640 --> 00:24:31,920
Speaker 1: doing anything that is particularly newsworthy. Let's tell you the truth.

453
00:24:32,040 --> 00:24:35,280
Speaker 1: It's because it's easy. And you'll see this when you

454
00:24:35,320 --> 00:24:39,800
Speaker 1: look at the different talk shows on television, they go

455
00:24:39,920 --> 00:24:42,919
Speaker 1: to what's called red meat. Right, here's here's here's the

456
00:24:43,000 --> 00:24:50,200
Speaker 1: juiciest gossip, steak the red meat. And it's simple, it's lazy.

457
00:24:50,920 --> 00:24:54,680
Speaker 1: All you have to do is say I don't like Obama,

458
00:24:54,760 --> 00:24:58,440
Speaker 1: and suddenly you've cultivated this audience of Obama haters and

459
00:24:58,480 --> 00:25:00,320
Speaker 1: they're all like, yeah, I mean too, Yeah, Like that

460
00:25:00,320 --> 00:25:02,680
Speaker 1: guy in the radio, he's saying, it's exactly what I'm thinking.

461
00:25:04,480 --> 00:25:06,919
Speaker 1: But you're not really relating. You're not really talking to

462
00:25:06,960 --> 00:25:09,920
Speaker 1: somebody on their level. That's the art that I believe

463
00:25:09,920 --> 00:25:12,080
Speaker 1: has been lost in our industry. Numberwo most talked about

464
00:25:12,080 --> 00:25:14,000
Speaker 1: person in twenty twenty two. If Joe Biden was number one,

465
00:25:14,000 --> 00:25:15,560
Speaker 1: who was number twenty? Who was number two? Do you

466
00:25:15,600 --> 00:25:23,080
Speaker 1: suppose Trump? Yeah? Absolutely absolutely? And again it's easy, it's

467
00:25:23,119 --> 00:25:27,000
Speaker 1: easy pickins. Nobody's doing a different angle. Nobody's trying something different.

468
00:25:27,000 --> 00:25:32,000
Speaker 1: Nobody's asking if Ivana is actually really good fertilizer for

469
00:25:32,000 --> 00:25:35,119
Speaker 1: the second hole at ed Bedminster. They're just complaining that

470
00:25:35,400 --> 00:25:38,480
Speaker 1: she was buried there. But maybe that's a really good idea.

471
00:25:38,720 --> 00:25:41,840
Speaker 1: Nobody's doing that. Number three was Ron de Sando's Number four,

472
00:25:41,920 --> 00:25:46,400
Speaker 1: Nancy Pelosi, Kevin McCarthy. Number five was Lynn Cheney, Liz Cheney,

473
00:25:46,400 --> 00:25:48,960
Speaker 1: excuse me, and Benny Thompson, rounding out the top ten.

474
00:25:49,040 --> 00:25:51,160
Speaker 1: Hunter Biden was one of the top ten most talked

475
00:25:51,160 --> 00:25:55,240
Speaker 1: about people in talk radio in twenty twenty two, coming

476
00:25:55,240 --> 00:25:58,760
Speaker 1: in ahead of Elon Musk. Elon Musk, He's been a

477
00:25:58,920 --> 00:26:03,200
Speaker 1: goldmine of entertaining topics, but Hunter Biden was talked about

478
00:26:03,240 --> 00:26:07,119
Speaker 1: more than Elon Musk. Vladimir Putin. Vladimir Zelinski came in

479
00:26:07,160 --> 00:26:11,800
Speaker 1: at number eight. Tony Fauci was number nine, or Anthony Fauci,

480
00:26:11,880 --> 00:26:14,159
Speaker 1: but even the trades call him doctor Tony Fauci. And

481
00:26:14,240 --> 00:26:19,399
Speaker 1: number ten it was Mark Zuckerberg. Just just my opportunity

482
00:26:19,400 --> 00:26:24,080
Speaker 1: to rail on how just bland our industry has become.

483
00:26:24,680 --> 00:26:29,840
Speaker 1: Where's the innovation, Where's the information, Where's the entertainment value,

484
00:26:30,320 --> 00:26:34,879
Speaker 1: where's the fun? Why would I want to tune in

485
00:26:34,880 --> 00:26:38,640
Speaker 1: to somebody railing on Hunter Biden and Trump's legal issues?

486
00:26:38,680 --> 00:26:42,280
Speaker 1: Every single day? My life is a whole lot different

487
00:26:42,320 --> 00:26:45,719
Speaker 1: than whatever that that topic is that they're bringing up.

488
00:26:45,720 --> 00:26:48,040
Speaker 1: And it makes me crazy that people are my industry

489
00:26:48,040 --> 00:26:52,000
Speaker 1: are that lazy, and some people listening aren't getting mad

490
00:26:52,000 --> 00:26:54,199
Speaker 1: at me for that. I don't care. I'll stand behind it.

491
00:26:55,160 --> 00:26:57,560
Speaker 1: We'll talk tech here. In just a few moments, I

492
00:26:57,640 --> 00:27:00,720
Speaker 1: mentioned to tech here a second ago, Tech is getting

493
00:27:01,840 --> 00:27:05,439
Speaker 1: tech is getting creepy. Maybe there's an opportunity. I don't know.

494
00:27:05,880 --> 00:27:08,520
Speaker 1: We'll tell you about creepy opportunity tech next. Chris merrill

495
00:27:08,560 --> 00:27:10,160
Speaker 1: In for John and ken k I I am six

496
00:27:10,280 --> 00:27:12,040
Speaker 1: forty live everywhere and you're on here at radio app.

497
00:27:12,119 --> 00:27:13,920
Speaker 1: Chris merrill In for John A. Ken KF. I am

498
00:27:13,960 --> 00:27:20,720
Speaker 1: six forty more stimulating talk tech gone bad or sometimes

499
00:27:20,720 --> 00:27:23,240
Speaker 1: tech gone good. First, I want to tell you about this.

500
00:27:23,280 --> 00:27:24,960
Speaker 1: We are giving you a chance to win a two

501
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Speaker 1: Tyranea Resort, breathtakingly situated on one on one hundred two

503
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Speaker 1: acres atop the palace veris a peninsula endless views of

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Speaker 1: the Pacific Ocean. Winners are going to stay in an

505
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507
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510
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511
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Speaker 1: KF I am six forty on Instagram and ded away

513
00:28:03,320 --> 00:28:05,720
Speaker 1: in a stay at the luxury resort that's right here

514
00:28:05,800 --> 00:28:07,800
Speaker 1: at home and feels like a million miles away. What

515
00:28:07,880 --> 00:28:09,639
Speaker 1: a good time to do that. If your flight got canceled,

516
00:28:09,680 --> 00:28:11,320
Speaker 1: you're not gonna be able to make it over the

517
00:28:11,400 --> 00:28:13,800
Speaker 1: river and through the woods to grandmother's house. This would

518
00:28:13,800 --> 00:28:15,840
Speaker 1: be a nice place to go. Huh. Not a bad

519
00:28:15,840 --> 00:28:18,440
Speaker 1: way to spend Christmas. All right, let's talk about tech

520
00:28:18,480 --> 00:28:23,720
Speaker 1: gone bad. I don't know about you. I tend to

521
00:28:23,760 --> 00:28:26,000
Speaker 1: be an early adopter of tech. Drives my wife nuts

522
00:28:26,000 --> 00:28:28,359
Speaker 1: because I know how much money I'm wasting when it

523
00:28:28,359 --> 00:28:33,359
Speaker 1: comes to technology. I know it. I get that there's

524
00:28:33,480 --> 00:28:34,960
Speaker 1: a bunch of tech out there, and if I just

525
00:28:35,000 --> 00:28:38,680
Speaker 1: waited until the next incarnation of that tech came out,

526
00:28:38,680 --> 00:28:40,680
Speaker 1: I'd probably save a bunch of money. But I tend

527
00:28:40,720 --> 00:28:43,000
Speaker 1: to be an early adopter. I'm getting better at it though.

528
00:28:43,680 --> 00:28:47,960
Speaker 1: For instance, I had an iPhone six and I finally

529
00:28:48,040 --> 00:28:51,360
Speaker 1: upgraded that to an iPhone XR, and now I have

530
00:28:51,400 --> 00:28:54,160
Speaker 1: an iPhone XR, and I think I'm about four generations behind.

531
00:28:54,640 --> 00:28:57,920
Speaker 1: So kind of proud of myself. I've had the same

532
00:28:58,000 --> 00:29:01,040
Speaker 1: iPhone for like three years now, feeling pretty good about that.

533
00:29:01,720 --> 00:29:03,520
Speaker 1: I didn't get an I didn't get an Apple Watch

534
00:29:03,640 --> 00:29:07,960
Speaker 1: until until the seventh generation came out, So I feel

535
00:29:07,960 --> 00:29:11,560
Speaker 1: like I'm showing tremendous restraint. But I want to be

536
00:29:11,600 --> 00:29:13,640
Speaker 1: somebody that gets the new version every single year. I

537
00:29:13,720 --> 00:29:16,400
Speaker 1: just I know better now, and frankly, I look at

538
00:29:16,440 --> 00:29:17,880
Speaker 1: the money that I'm spending his money I should be

539
00:29:17,920 --> 00:29:21,200
Speaker 1: putting in my retirement fund instead. One thing that I

540
00:29:21,240 --> 00:29:26,720
Speaker 1: don't have is one of those robot vacuums, not for

541
00:29:26,800 --> 00:29:29,440
Speaker 1: lack of trying. I'd love to have a robot vacuum.

542
00:29:29,440 --> 00:29:31,640
Speaker 1: My wife says, no. We did get one from my parents.

543
00:29:31,680 --> 00:29:34,400
Speaker 1: They immediately regifted it to my younger brother, which I

544
00:29:34,440 --> 00:29:36,760
Speaker 1: thought was really rude. So we don't get them good

545
00:29:36,760 --> 00:29:39,840
Speaker 1: gifts any longer. Now we've got an issue with the

546
00:29:39,960 --> 00:29:47,120
Speaker 1: robot vacuum. The Roomba Roomba J seventh series robot vacuum

547
00:29:48,120 --> 00:29:54,040
Speaker 1: was cruising around with some sort of like a test

548
00:29:54,680 --> 00:29:57,920
Speaker 1: technology involved had a camera in it and it was

549
00:29:57,960 --> 00:30:00,880
Speaker 1: going around this house and it was trying to identify

550
00:30:01,040 --> 00:30:03,400
Speaker 1: different objects, which makes sense as they're trying to fine

551
00:30:03,440 --> 00:30:06,440
Speaker 1: tune the AI, and it comes into the kitchen. It

552
00:30:06,480 --> 00:30:08,640
Speaker 1: can identify what is a cabinet, what is a counter?

553
00:30:09,040 --> 00:30:11,440
Speaker 1: What do I say a dog dish? What is a

554
00:30:11,520 --> 00:30:14,120
Speaker 1: table leg or a chair leg? Right, it makes sense,

555
00:30:14,800 --> 00:30:17,720
Speaker 1: but it has to be It has to be recorded

556
00:30:17,720 --> 00:30:20,640
Speaker 1: and that identified so that all these different incarnations of

557
00:30:20,680 --> 00:30:23,920
Speaker 1: things that the roomba might encounter can be added to

558
00:30:23,920 --> 00:30:26,160
Speaker 1: the AI, and the AI can then process these things.

559
00:30:26,200 --> 00:30:32,520
Speaker 1: The problem is that the images that it took weren't

560
00:30:32,520 --> 00:30:37,560
Speaker 1: necessarily so simple. Photos vary in the type, of in

561
00:30:37,640 --> 00:30:43,240
Speaker 1: type and insensitivity. In this study that was done, MIT

562
00:30:43,360 --> 00:30:47,640
Speaker 1: Technology Review obtained fifteen screenshots of private photos which have

563
00:30:47,720 --> 00:30:51,200
Speaker 1: been posted to a closed social media group. The photos,

564
00:30:51,240 --> 00:30:54,800
Speaker 1: some of which were very intimate. A very intimate image

565
00:30:55,400 --> 00:30:57,640
Speaker 1: was a series of video stills featuring a young woman

566
00:30:57,720 --> 00:31:00,960
Speaker 1: on the turlet. Her face was locked and the lead

567
00:31:01,000 --> 00:31:05,040
Speaker 1: image but unobscured, and the grainy scrolls of shots below that.

568
00:31:05,120 --> 00:31:06,920
Speaker 1: In another image, a boy who appears to be eight

569
00:31:07,000 --> 00:31:09,280
Speaker 1: or nine years old, whose face is clearly visible, sprawled

570
00:31:09,320 --> 00:31:11,640
Speaker 1: out in his stomach across the hallway floor. He's clothed

571
00:31:11,640 --> 00:31:16,080
Speaker 1: by the way, but still Rumba's cruising around taking photos

572
00:31:16,080 --> 00:31:22,000
Speaker 1: and videos of individuals. Other shots show rooms full of

573
00:31:22,400 --> 00:31:24,600
Speaker 1: excuse me, show rooms from homes around the world's I'm

574
00:31:24,600 --> 00:31:27,920
Speaker 1: occupied by humans, one by a dog, furniture decor, objects

575
00:31:27,960 --> 00:31:29,959
Speaker 1: located high in the walls and ceilings that were then

576
00:31:30,000 --> 00:31:35,280
Speaker 1: being labeled as part of the AI experience. The question is,

577
00:31:35,680 --> 00:31:39,560
Speaker 1: while Rumba is trying to fine tune their AI, and

578
00:31:39,680 --> 00:31:43,440
Speaker 1: of course now Amazon owns Rumba, how is it that

579
00:31:43,520 --> 00:31:50,000
Speaker 1: these particular photos got linked onto social media? How is

580
00:31:50,000 --> 00:31:53,120
Speaker 1: it that the vacuum is cruising around the house and

581
00:31:53,160 --> 00:31:55,720
Speaker 1: taking a picture of a woman who's doing her business.

582
00:31:57,800 --> 00:32:01,400
Speaker 1: And I gotta tell you, I'm creeped out when I'm

583
00:32:01,400 --> 00:32:03,360
Speaker 1: in the restroom and the dog wants to join me.

584
00:32:05,120 --> 00:32:07,040
Speaker 1: But I kind of have to reconcile that, you know what,

585
00:32:07,160 --> 00:32:08,920
Speaker 1: I watched the dog go, so I guess it's only

586
00:32:08,960 --> 00:32:10,800
Speaker 1: fair the dog gets to watch me go too, right,

587
00:32:11,480 --> 00:32:18,400
Speaker 1: But not the vacuum. Not okay with that? I robot,

588
00:32:18,840 --> 00:32:21,200
Speaker 1: Amazon and everybody else that was involved says, oh wait

589
00:32:21,240 --> 00:32:23,280
Speaker 1: a minute, this isn't like it was your It wasn't

590
00:32:23,320 --> 00:32:25,120
Speaker 1: like it was the robot that was or the vacuum

591
00:32:25,160 --> 00:32:26,840
Speaker 1: that was going out to the general public. If you

592
00:32:26,920 --> 00:32:30,440
Speaker 1: bought your vacuum at Target or an Amazon. It's not

593
00:32:30,520 --> 00:32:32,560
Speaker 1: like it was that it was recording you. These were

594
00:32:32,560 --> 00:32:35,040
Speaker 1: people that were part of a study that could have

595
00:32:35,040 --> 00:32:37,560
Speaker 1: been employees or people that had consented to have this

596
00:32:37,680 --> 00:32:40,240
Speaker 1: vacuum in their homes. So don't go thinking that it's

597
00:32:40,240 --> 00:32:43,760
Speaker 1: just out there recording anybody willy nilly. Still, you have

598
00:32:43,800 --> 00:32:45,640
Speaker 1: to wonder if the people who were a part of

599
00:32:45,680 --> 00:32:52,640
Speaker 1: this knew what was going on. Matt Bean as an

600
00:32:52,680 --> 00:32:55,480
Speaker 1: assistant professor in the Technology Management Program at the University

601
00:32:55,480 --> 00:32:58,719
Speaker 1: of California, Santa Barbara, studying the human work behind robotics.

602
00:32:58,720 --> 00:33:01,120
Speaker 1: He says, there's always a group of humans sitting somewhere,

603
00:33:01,160 --> 00:33:03,040
Speaker 1: usually in a windowless room, just doing a bunch of

604
00:33:03,240 --> 00:33:06,000
Speaker 1: point and click Yes that is an object or not

605
00:33:06,080 --> 00:33:09,320
Speaker 1: an object. In other words, they're analyzing the data. Then

606
00:33:09,360 --> 00:33:12,480
Speaker 1: they're determining yes, this is a countertop, Yes this is

607
00:33:12,480 --> 00:33:15,240
Speaker 1: a chair, Yes this is a table. Still those people

608
00:33:15,240 --> 00:33:18,000
Speaker 1: sitting around or catching pictures of people who are doing

609
00:33:18,040 --> 00:33:22,440
Speaker 1: their business a little bit freaked out by that. In

610
00:33:22,480 --> 00:33:26,360
Speaker 1: the same way that we all know that our Amazon echoes,

611
00:33:26,400 --> 00:33:29,239
Speaker 1: you know, the Alexas are listening to us now I'm

612
00:33:29,280 --> 00:33:31,160
Speaker 1: kind of creeped out that Amazon is watching me do

613
00:33:31,240 --> 00:33:34,880
Speaker 1: my business, and then maybe they're gonna what, try to

614
00:33:34,880 --> 00:33:40,600
Speaker 1: sell me something, maybe toilet paper. Actually, come to think

615
00:33:40,640 --> 00:33:45,800
Speaker 1: of it, Alexa, order a toilet paper. We'll talk about

616
00:33:45,840 --> 00:33:48,040
Speaker 1: dumb kids in California next. Chris merrill in for John

617
00:33:48,040 --> 00:33:50,080
Speaker 1: and Ken k if. I am six forty more stimulating,

618
00:33:50,120 --> 00:33:52,160
Speaker 1: talking live everywhere on your iHeartRadio app