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Speaker 1: Dependence Day, birthday, and election Day, and they're all particular days.

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Speaker 1: So if we start with that, if I have nothing

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Speaker 1: more to look at it than the phrase election day,

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Speaker 1: I think this is the day in which everything is

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Speaker 1: going to take place.

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Speaker 2: If we want faith in elections, you got to have

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Speaker 2: a firm deadline. Why should ballots trickle in after election

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Speaker 2: day and potentially flip results. The law should be clear,

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Speaker 2: you count your votes if it's received by the deadline,

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Speaker 2: not days later. And that was Justice Alito who was

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Speaker 2: a little skeptical. He was simply reading the English language

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Speaker 2: out loud. And now, of course the left is going

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Speaker 2: to be melting down because of this election day.

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Speaker 3: One day. It's literally in the name election day.

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Speaker 4: Yeah, you think it's important. Words matter, especially when they're

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Speaker 4: in the Constitution. And so I think that's where Justice

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Speaker 4: Alito was come and from. Interestingly enough, this, you know,

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Speaker 4: because I can think about, oh, a mail in ballot

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Speaker 4: case is being brought to the Supreme Court. I'm thinking

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Speaker 4: states like Oregon, Washington, California, a bunch of.

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Speaker 5: Liberal states where they just kind of throw.

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Speaker 4: Ballots to anybody and you can just mail them in

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Speaker 4: whenever you want to know. It's coming from Mississippi, which

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Speaker 4: I found was pretty interesting. But Mississippi allows ballots to

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Speaker 4: arrive up to five days after election day as long

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Speaker 4: as they were postmarked on time, and that's what the

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Speaker 4: argument is. Look, they're basically saying, it's election day. It's

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Speaker 4: not election days or election week. Everything's got to be

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Speaker 4: in by election day. And what's funny is both sides

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Speaker 4: of the arguments. I listened to more of that audio

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Speaker 4: from that Supreme Court proceeding the other day. Both sides

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Speaker 4: are arguing fairness, just in different ways. The one side

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Speaker 4: is arguing, well, if you're overseas military or if you

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Speaker 4: know you had some problem, it's only fair that we

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Speaker 4: allow a grace period and still count the election ballot.

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Speaker 4: And then the other side is like, well, no, it's

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Speaker 4: only fair because it's election day and so you got

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Speaker 4: to get it to the election people on time. That's

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Speaker 4: what's fairness. I thought that was kind of interesting, both

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Speaker 4: arguing fairness, just differently.

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Speaker 2: So the RNC they said that this violates federal election law,

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Speaker 2: which they say requires ballots to be received by election day. Now,

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Speaker 2: you did have a lower appeals court strike down Mississippi's

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Speaker 2: law earlier, saying it conflicts with the federal rules, and

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Speaker 2: the conservative justices they sounded really skeptical of the.

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Speaker 3: Late arrival ballot rules.

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Speaker 2: And now the Supreme Court reading the law as written,

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Speaker 2: that's not radical. That's their job. Election day is a day,

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Speaker 2: not a suggestion.

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Speaker 5: And this is going to go.

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Speaker 4: You know, if the Supreme Court rules that, yeah, you

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Speaker 4: got to have these ballots in by election day, this

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Speaker 4: is going to affect a lot of places. Fourteen states

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Speaker 4: plus Washington, d c. All have these grace period rules.

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Speaker 4: And you got to believe that if they strike this

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Speaker 4: grace period down in in Mississippi, the other states are

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Speaker 4: going to have to follow along with that. And some

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Speaker 4: of these too. These states haven't always had these rules.

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Speaker 4: These were a lot of COVID grace.

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Speaker 5: Periods that were put in. You remember during the twenty twenty.

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Speaker 4: Election, you know, any sort of election rules seemed to

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Speaker 4: just kind of be thrown out the window because people

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Speaker 4: were crying and whining that, well, it's COVID and there's

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Speaker 4: a pandemic, and you can't go outside and you've got

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Speaker 4: a social distance, but you can still vote. So let's

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Speaker 4: make it as easy as possible for everybody to vote.

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Speaker 4: The problem with that is it made it very easy

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Speaker 4: for everybody to manipulate those votes if they wanted to.

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Speaker 4: So these are some of these are COVID grace periods that,

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Speaker 4: of course, when the government does something and then that

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Speaker 4: emergency is over with, they never go back and fix it.

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Speaker 3: It's just right, you just continue on the way.

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Speaker 5: It's just like your taxes.

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Speaker 4: Remember here in the state of Indiana, we had a

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Speaker 4: budget shortfall last year, so we had to throw one

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Speaker 4: billion dollars of new taxes in front of hoosiers. And

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Speaker 4: now it turns out a lot of the reports are like, oh,

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Speaker 4: we've got a ton of money coming into the state government. Hey,

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Speaker 4: how about that billion dollars in taxes US now, No, no,

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Speaker 4: we're not getting rid of that billion dollars in new taxes.

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Speaker 4: Of course, We're just going to keep that going, even

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Speaker 4: though we have a surplus right now. So this is

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Speaker 4: some of these were COVID rules that of course never

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Speaker 4: got adjusted after COVID was over.

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Speaker 2: So the liberal justices, of course, they defended letting states

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Speaker 2: set their own ballot receipt deadlines and every ballot counted

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Speaker 2: after election day. That's just as you mentioned, more opportunity

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Speaker 2: for mischief.

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Speaker 3: Well, we'll call it mischief and manipulation.

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Speaker 4: The problem here comes down to these are federal elections,

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Speaker 4: so states do have some leeway, and certainly states can

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Speaker 4: run their own state elections anyway they want to. I

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Speaker 4: want you to know, for the governor of California, if

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Speaker 4: we want, you know, count ballots to show up three

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Speaker 4: minutes months after election day, fine, California, you get to

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Speaker 4: do that.

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Speaker 5: You got it, because if you do that and.

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Speaker 4: Make your own mess, you're responsible for cleaning up your

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Speaker 4: own mess, California. But these are as it relates to

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Speaker 4: federal elections. So that's House, Senate and the presidency.

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Speaker 2: The decision by the Supreme Court, it's expected to happen

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Speaker 2: before the November twenty six mid term elections.

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Speaker 4: Yeah, the Supreme Court, so this is this is the

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Speaker 4: way that the Court's normal process and season works. They

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Speaker 4: have all these hearings at this time of year, and

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Speaker 4: then the hearings wrap up in spring and then they

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Speaker 4: go and talk about it and their rulings come out

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Speaker 4: usually in June or July. So this is a big

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Speaker 4: one and it will impact the November mid terms for sure.

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Speaker 2: This was an interesting article how the Midwest became the

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Speaker 2: place to move.

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Speaker 3: Spoiler alert. It's about affordability.

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Speaker 2: So we've long been known as flyover country, but apparently

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Speaker 2: we're having a moment and the coastal elites not so

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Speaker 2: happy about this. This is all attributed to low cost

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Speaker 2: of living, schools, actual neighborhoods, and.

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Speaker 3: People who wave back. That's one of the things that we.

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Speaker 2: Like here in Indiana. Well, keep put your hospitality.

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Speaker 4: I just talked a minute ago about how there were

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Speaker 4: some election laws that were implemented during COVID that are

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Speaker 4: still sticking around. Part of this is also driven by COVID,

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Speaker 4: because keep in mind, remote work is a lot bigger

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Speaker 4: than what it used to be, and we hear a

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Speaker 4: lot about this, you know, back to the office five

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Speaker 4: days a week, and companies are doing this. Mike Braun

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Speaker 4: signed an executive order last year ordering state employees, you know,

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Speaker 4: no longer work from home. You got to be back

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Speaker 4: in the audience. Twenty percent of the American population still

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Speaker 4: works from home. And COVID's been over for a long time,

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Speaker 4: so one out of every five employees works from home.

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Speaker 4: And when you've got that remote work, all of a sudden,

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Speaker 4: you're you know, the geography of where you can live

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Speaker 4: goes from the metro area where you used to drive

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Speaker 4: into your office to the entire country.

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Speaker 2: So they say that a lot of this shift is

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Speaker 2: because of changing migration patterns. Sun Belt growth is slowing down,

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Speaker 2: while some Midwestern areas are actually gaining residents.

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Speaker 3: That's because, you know what, you.

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Speaker 2: Can afford a nine hundred square foot apartment in some

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Speaker 2: of these Sun Belt locations, which is equivalent to a

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Speaker 2: full house in say Carmel. Yeah, a lot of people

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Speaker 2: are choosing to actually own a house rather than just

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Speaker 2: continually rent at high prices.

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Speaker 4: Yeah, ten years you got a job working in Wall Street,

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Speaker 4: so you had to live in Manhattan or somewhere in

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Speaker 4: one of the boroughs in New York. And you were

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Speaker 4: gonna be paying you know, three or four thousand dollars

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Speaker 4: a month for a you know, crappy studio apartment. But

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Speaker 4: you had to do it because you had to go

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Speaker 4: down to Wall Street and work in the office every

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Speaker 4: single day. Now, if you don't have to go into

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Speaker 4: work every day, what the heck am I paying four

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Speaker 4: grand a month for this dumpy New York City apartment.

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Speaker 4: I'm gonna move me somewhere else where. I can buy

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Speaker 4: an entire house. Maybe you have a mortgage payment that's

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Speaker 4: less than that. And by the way, I got a

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Speaker 4: beautiful three thousand square foot house with a nice yard

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Speaker 4: and a great neighborhood and wonderful school system. Of course

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Speaker 4: people are going to choose that. Of course that's going

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Speaker 4: to be better for them. We talked about this last week.

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Speaker 4: Kathy Holkle, the governor of New York. We had that

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Speaker 4: audio that we played where she was like, Oh, everybody

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Speaker 4: from New York who moved to Florida, please.

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Speaker 5: Please come back, so that she wanted the tax money.

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Speaker 4: Yeah, we need your tax dollars so that we can

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Speaker 4: give it away to illegal immigrants and pay for all

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Speaker 4: of these social programs.

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Speaker 5: And everybody that left.

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Speaker 4: New York is like, stick at Kathy Hulkll, I ain't

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Speaker 4: ever coming back. So all of a sudden, now with

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Speaker 4: remote work, you can live wherever you want to, and

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Speaker 4: more people are choosing just a better quality of life

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Speaker 4: at a lot lower cost of living. And when you're

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Speaker 4: looking at those options, the Midwest looks pretty darn good.

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Speaker 2: Yeah, you've got housing as one of the big drivers

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Speaker 2: Midwestern cities. Obviously, they cost less compared to cities like

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Speaker 2: Miami or even Austin. But the thing is, you've got

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Speaker 2: all these people who for years mocked the Midwest, and

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Speaker 2: now they're moving here and they're calling it some big discovery.

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Speaker 3: Sorry, we've been here all along.

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Speaker 2: I don't so many times I'll see somebody on TikTok say, hey,

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Speaker 2: I'm new to Indiana. What should I do? Or where's

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Speaker 2: the place to go? That's fine, You're welcome to come here.

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Speaker 2: Just don't bring your liberal ideology with you, because that's

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Speaker 2: what we don't want. Don't turn our state into your

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Speaker 2: blue haven.

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Speaker 5: Yeah exactly.

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Speaker 4: If you lived in California and you're leaving because of

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Speaker 4: the high cost of living, Indiana's fine, but don't bring

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Speaker 4: your California policies with you. Look, it's proof. Cheap housing

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Speaker 4: is undefeated. Low cost of living, cheap housing, it's undefeated.

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Speaker 4: Everybody wants less expense in their life right now. The

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Speaker 4: other big part of this, too, is because the Sunbelt

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Speaker 4: you mentioned it earlier, has seen huge growth in the

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Speaker 4: last several decades. Look, living in Phoenix or Miami is

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Speaker 4: great in January, but you ever been to one of

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Speaker 4: those places in July or August.

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Speaker 3: Eight miles from the sun.

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Speaker 4: Look, I would much rather have a Midwest winter than

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Speaker 4: a Miami August. It's brutal down there, and it's the

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Speaker 4: same thing. People down there do the same thing that

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Speaker 4: we do up here in the window. They just stay

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Speaker 4: inside in their air conditioning for three months.

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Speaker 2: The other problem I see with this is these newcomers

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Speaker 2: coming to Indiana is taking jobs away from people who

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Speaker 2: have been here for years and years. Because on one hand,

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Speaker 2: we're saying that housing is affordable here in Indiana comparatively,

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Speaker 2: but then on the other hand, we know we've seen

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Speaker 2: reports that Indiana, specifically Indianapolis, has the highest rate of

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Speaker 2: house foreclosures because people who've been here for generations now

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Speaker 2: can't afford to live here.

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Speaker 4: Yeah, and that's the good and bad with all of this.

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Speaker 4: And look, we are set up so that each of

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Speaker 4: the fifty states get to compete with each other for residents.

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Speaker 4: If you've got a state that offers, look, cities like

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Speaker 4: Nashville have gone through with this. Look, Tennessee's a great state.

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Speaker 4: No income tax in Tennessee. Nashville is a great town.

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Speaker 4: They've seen growth explode over the last ten or fifteen years,

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Speaker 4: and it's caused a lot of problems for Native people

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Speaker 4: of Nashville because now they're getting priced out of neighborhoods

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Speaker 4: that they used to be able to afford. And now

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Speaker 4: they're maybe not getting that job that they could have

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Speaker 4: gotten before because they've seen, you know, a twenty percent. Yeah,

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Speaker 4: they've seen a twenty percent increase in their population over

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Speaker 4: the last twenty years. But that's part of the good

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Speaker 4: with the bad that comes with being in competition with

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Speaker 4: all the other forty nine states.

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Speaker 2: So the Midwest cities that are drawing newcomers the most, Rockford, Milwaukee, Cincinnati,

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Speaker 2: Columbus South Bend, I say with a question mark South Bend.

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Speaker 5: You're gonna have to look into this data.

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Speaker 3: Yeah, and also Indianapolis.

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Speaker 2: Okay, so we were talking about this, I think it

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Speaker 2: was just yesterday, about how every appliance in your home

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Speaker 2: needs to be connected to Wi Fi or have a

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Speaker 2: USB port on it. Samsung has started rolling out advertisements

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Speaker 2: on some of its smart refrigerator screens via their latest

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Speaker 2: software update, and people are not happy about it.

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Speaker 5: No kidding, Yeah, I wouldn't be happy about it.

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Speaker 4: Look, I'm never going to buy or I have no

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Speaker 4: interest in buying a refrigerator that has a big screen

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Speaker 4: on it so that I can show pictures of my

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Speaker 4: family or whatever. But some people did, and that's cool

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Speaker 4: if that's your bag. But to go there and buy

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Speaker 4: this device, a refrigerator with a screen on it so

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Speaker 4: I can, you know, watch my home movies or videos

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Speaker 4: I've shot or put pictures of my family up there.

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Speaker 4: And now Samsung's throwing ads in my face. Yeah, I

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Speaker 4: can see where they'd be a backlash from something like that.

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Speaker 2: So people are saying that ads feel like an intrusion

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Speaker 2: into their personal space and there should at least be

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Speaker 2: an option to opt in or opt out. Yeah, you

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Speaker 2: paid two thousand dollars for a refrigerator and now it's

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Speaker 2: showing you ads that you never wanted.

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Speaker 3: That is not the future. I think that you were

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Speaker 3: asking for.

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Speaker 4: No, And I'll tell you how. Samsung will probably let

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Speaker 4: you opt out of ads. Pay ten dollars a month.

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Speaker 4: You don't have to see any ads on our screen anymore.

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Speaker 3: We're going to now. I'm not paying a subscription fee

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Speaker 3: to opt out of the ads.

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Speaker 4: I'm not a refrigerator. I'm not paying a subscription for

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Speaker 4: my refrigerator. I refuse to do it. I'm not doing it.

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Speaker 5: I get it.

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Speaker 4: Look, I'm a big technology guy. I'm an early adopter guy,

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Speaker 4: but it's got to make sense. We talked about this

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Speaker 4: the other day. Our current coffee maker, we can connect

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Speaker 4: it to our WiFi.

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Speaker 5: I have no idea.

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Speaker 4: Why you'd want to do that, and in my mind,

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Speaker 4: that's only going to be trouble. So I've never done that.

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Speaker 4: There are some things that don't need to be connected

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Speaker 4: to the Internet.

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Speaker 2: Your appliances should not have terms of service. Did you

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Speaker 2: read our privacy policy right now?

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Speaker 3: I bought the thing to keep my food.

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Speaker 4: Coal and next thing, you know, then my refrigerator is

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Speaker 4: going to get hacked, and all of a sudden, my

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Speaker 4: mayonnaise is going to go bad and I'm going to

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Speaker 4: end up eating it not knowing it. People or hacking everything.

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Speaker 4: Everything does not need to be connected to your home

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Speaker 4: Wi Fi, and the refrigerator is not offering a whole

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Speaker 4: lot of upside to being connected to the internet.

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Speaker 3: Kind of like the heavy cream that you have the

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Speaker 3: other day.

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Speaker 5: I did okay, so fine.

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Speaker 4: So we had some we have some heavy cream that

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Speaker 4: we use in our coffee, and it turned out that

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Speaker 4: it had gone gone bad.

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Speaker 3: Well, you got two cups of coffee gone pastized.

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Speaker 5: It had gone past its best buy date.

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Speaker 3: By smell awful.

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Speaker 5: I didn't notice it. I just poured it in the coffee,

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Speaker 5: and I noticed that the.

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Speaker 3: Coffee taste it was like you used.

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Speaker 5: I'm like, yeah, what's wrong?

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Speaker 4: And I look at the used by date and it

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Speaker 4: was ten days ago. I was like, oh, this isn't

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Speaker 4: just a day or two overdue. This is like a

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Speaker 4: week and a half beyond the cell by date. Are

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Speaker 4: you feeling I'm fine, I've got nous, I got an

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Speaker 4: iron gut here, I can do anything.

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Speaker 3: Actually, you have no guts.

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Speaker 5: Salmonilla, come at me, man, I dare you my gut

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Speaker 5: go ten rounds with salmonella at Always?

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Speaker 2: Instead of having an ad and being marketed to when

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Speaker 2: you walk into the kitchen, you need a pop up

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Speaker 2: that says, Jim, the milk is bad.

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Speaker 5: Don't wait to bet now. I mean, maybe I'm changing

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Speaker 5: my whole.

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Speaker 2: Rolling of the expiration dates of things in the fridge.

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Speaker 4: Maybe I do need our refrigerator connected to the internet

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Speaker 4: so it'll keep me posted on the expiration dates of

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Speaker 4: our dairy.

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Speaker 3: Every time you buy.

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Speaker 2: A new product, you enter in the expiration You've got

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Speaker 2: a rolling ticker on your fridge when things go bad.

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Speaker 5: I'm having to rethink my entire position on this.

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Speaker 3: I just blew your mind.

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Speaker 5: You did.

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Speaker 3: You're listening to ninety three WYBC.

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Speaker 2: We like to call it group there. It's an opportunity

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Speaker 2: for you to get something off your chest. We asked

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Speaker 2: the question, what's your problem.

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Speaker 4: I'm the one that's got the problem today, and I

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Speaker 4: alluded to this earlier, but it is with the NCAA

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Speaker 4: Men's March Madness Tournament, and it's the scheduling. So both

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Speaker 4: Saturday and Sunday, because I mean, those are big days.

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Speaker 4: Some people got to work on Thursday and Friday games

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Speaker 4: started like noon. I get that you can't watch those,

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Speaker 4: but it's Saturday and Sunday. You've got an opportunity to

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Speaker 4: literally sit down and watch basketball all day long. And

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Speaker 4: what did the NCAA do with their scheduling start times?

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Speaker 3: They overlap them.

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Speaker 5: That's my problem.

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Speaker 4: And the problem is on Saturday and Sunday, we had

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Speaker 4: like two games both days, two games during the day,

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Speaker 4: and then all of a sudden, they crammed six games

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Speaker 4: into each evening and so you were sitting there trying

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Speaker 4: to watch multiple games at the same time when they

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Speaker 4: could have just easily spread them out throughout the day.

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Speaker 4: And it continues. So this upcoming next round, that's coming

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Speaker 4: up here. So Thursday, we've got perdue in Texas, Iowa,

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Speaker 4: and Nebraska.

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Speaker 5: Those games are on at the exact same time.

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Speaker 3: Seven thirty.

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Speaker 4: And then the late games Arkansas and Arizona and then

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Speaker 4: Illinois versus Houston again, those games are out the same time.

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Speaker 4: One starts at nine to forty five, one starts at

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Speaker 4: ten pm. And then on Friday they do it again

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Speaker 4: again seven o'clock games and then nine to forty five games,

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Speaker 4: and so we're stuck with these overlapping games. And here's

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Speaker 4: where the real problem comes in, especially with the way

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Speaker 4: most modern televisions are jumping back and forth to different channels.

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Speaker 4: Isn't as quick as it used to be, especially because

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Speaker 4: they're all over the place on everything. It used to

356
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Speaker 4: be on cable, you would hit that back button in

357
00:16:12,120 --> 00:16:14,440
Speaker 4: a split second, you'd be on the next channel. Now

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Speaker 4: you got to wait like three or four seconds because

359
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Speaker 4: it's all done via streaming now, and it takes a

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Speaker 4: minute to catch up, and it's leg and it's just terrible.

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Speaker 4: That's my problem today. The NCAA Tournament. I love it,

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Speaker 4: but I hate the way they schedule the start times.

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Speaker 2: People are also complaining about the late star times, meaning

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00:16:30,320 --> 00:16:32,440
Speaker 2: that the East Coast viewers won't finish watching the games

365
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Speaker 2: until really late and it could be a school night

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Speaker 2: or a work night. And also they're saying that the

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Speaker 2: schedule feels like it was designed more for TV ratings

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Speaker 2: than for fans.

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Speaker 4: Yeah, huh, yeah, that's exactly the reason. I mean, this

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Speaker 4: is all designed for television ratings and to get more ratings.

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Speaker 4: I mean, there's a lot more people that watch TV

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Speaker 4: in the evening. That's why they've always called it prime time.

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Speaker 4: There's a lot more people that watch in the evening

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Speaker 4: that watch it and then watching the late afternoon or

375
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Speaker 4: during the day. So yeah, I get why this is

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Speaker 4: being done. It's it's the answer to every question in life.

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Speaker 5: Money.

378
00:17:07,200 --> 00:17:09,639
Speaker 2: Yeah, money, that's March Madness. It's too good of a

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Speaker 2: product though for them to ruin it. Well, but they

380
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Speaker 2: all get they keep trying. Yeah, exactly, They're going to

381
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Speaker 2: do their best. Here.

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Speaker 5: Here's what they know.

383
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Speaker 4: They know that everybody loves March Madness so much, and

384
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Speaker 4: they get so many put it. It doesn't matter what

385
00:17:22,080 --> 00:17:23,399
Speaker 4: they do, you'll come in. And by the way, the

386
00:17:23,480 --> 00:17:25,639
Speaker 4: ratings proved it out. Thursday and Fridays, the ratings for

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Speaker 4: those games through the roof they were near record highs

388
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Speaker 4: for both days. For the opening round of the tournament,

389
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Speaker 4: the ratings have been fantastic. The NC Double A knows

390
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Speaker 4: we can do whatever we want, and you're gonna come

391
00:17:35,560 --> 00:17:37,640
Speaker 4: and watch it anyway, so we'll do what we want.

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Speaker 2: Can we talk about the tallest player in March madness?

393
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Speaker 2: Do you see that he's actually not playing in it

394
00:17:42,880 --> 00:17:44,560
Speaker 2: anymore because his team lost.

395
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Speaker 5: Yeah, he played for Florida.

396
00:17:45,960 --> 00:17:47,920
Speaker 3: What was his name? He's seven to nine.

397
00:17:48,000 --> 00:17:49,760
Speaker 4: You know what, I didn't even bother learning the kid's

398
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Speaker 4: name because I mean, I was just so dumbstruck by

399
00:17:52,680 --> 00:17:57,280
Speaker 4: this size. Seven foot nine. He is the tallest player

400
00:17:57,359 --> 00:17:59,480
Speaker 4: to ever play in the NC Double A tournament.

401
00:17:59,520 --> 00:18:00,960
Speaker 5: He played for the Florida Gators.

402
00:18:01,000 --> 00:18:02,800
Speaker 4: They won a couple of games, or they won one

403
00:18:02,840 --> 00:18:05,280
Speaker 4: game but then lost before making it to the Sweet sixteen.

404
00:18:05,640 --> 00:18:07,760
Speaker 4: The clips of him have been all over social media

405
00:18:07,800 --> 00:18:12,160
Speaker 4: and online. He can actually they call it a standing dunk.

406
00:18:12,560 --> 00:18:14,720
Speaker 4: He does not have to jump to dunk the ball.

407
00:18:14,760 --> 00:18:16,880
Speaker 4: I saw video of him in practice. He just gets

408
00:18:16,960 --> 00:18:19,520
Speaker 4: up on his tiptoes, puts his hand up and con

409
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Speaker 4: dunk the ball into the basket.

410
00:18:21,119 --> 00:18:25,679
Speaker 2: Olivia, Rue Raw, it's it's a French name. R I

411
00:18:26,119 --> 00:18:29,760
Speaker 2: o u x roy look raw, it doesn't matter.

412
00:18:30,000 --> 00:18:31,120
Speaker 3: Have you heard him talk though?

413
00:18:31,960 --> 00:18:33,840
Speaker 5: He sounds like shack gosh, his.

414
00:18:33,880 --> 00:18:36,960
Speaker 3: Voice is so deep. Check this out both.

415
00:18:42,320 --> 00:18:44,639
Speaker 6: I saw you smiling when the fans were chading what

416
00:18:44,720 --> 00:18:45,000
Speaker 6: we want.

417
00:18:45,359 --> 00:18:47,720
Speaker 5: You could hear that as you were sitting on the vendor. Yeah,

418
00:18:48,000 --> 00:18:52,159
Speaker 5: I can hear that. And but you were pretty confident

419
00:18:52,200 --> 00:18:52,800
Speaker 5: you were going to get in.

420
00:18:54,400 --> 00:18:57,000
Speaker 6: Yeah, because he told us that four minutes, hey get

421
00:18:57,040 --> 00:18:59,480
Speaker 6: stretch and I got a stretching cooping.

422
00:18:59,560 --> 00:19:00,200
Speaker 5: I would.

423
00:19:02,880 --> 00:19:06,280
Speaker 2: So like he was breaking height world records when he

424
00:19:06,320 --> 00:19:07,200
Speaker 2: was thirteen years old.

425
00:19:07,320 --> 00:19:09,919
Speaker 4: Yeah, he has actually in Guinness Book of World Records.

426
00:19:09,960 --> 00:19:12,520
Speaker 4: He was the youngest seven footer. He was He was

427
00:19:12,560 --> 00:19:15,000
Speaker 4: thirteen years old and he was seven feet tall. They

428
00:19:15,080 --> 00:19:16,960
Speaker 4: kept showing pictures during the game because he got into

429
00:19:17,000 --> 00:19:20,320
Speaker 4: the end of the game and he was standing next

430
00:19:20,359 --> 00:19:22,560
Speaker 4: to one of the guys on the other team. The

431
00:19:22,600 --> 00:19:24,879
Speaker 4: guy on the other team is six foot eight and

432
00:19:24,920 --> 00:19:26,800
Speaker 4: he came up to this guy's shoulders. I mean, it

433
00:19:26,960 --> 00:19:29,560
Speaker 4: was it was, It was comical, and you're right, he

434
00:19:29,560 --> 00:19:32,080
Speaker 4: does have that big, deep voice, and it just reminded.

435
00:19:31,680 --> 00:19:34,320
Speaker 5: Me like Shack. Shack's similar. Shacks, you know, seven.

436
00:19:34,080 --> 00:19:36,679
Speaker 4: Foot one and four hundred pounds, and this kid is,

437
00:19:36,680 --> 00:19:38,880
Speaker 4: you know, seven foot nine and three twenty He's just

438
00:19:38,880 --> 00:19:42,399
Speaker 4: just just huge all around. And I did that. The

439
00:19:42,600 --> 00:19:45,399
Speaker 4: idea that he can dunk a ball without jumping is

440
00:19:45,480 --> 00:19:46,320
Speaker 4: just blows my mind.

441
00:19:46,520 --> 00:19:47,200
Speaker 3: Was here a freshman.

442
00:19:47,400 --> 00:19:49,200
Speaker 4: He's a freshman this year. Yeah, so he didn't play

443
00:19:49,320 --> 00:19:50,960
Speaker 4: very much. In fact, I think he didn't even get

444
00:19:50,960 --> 00:19:53,800
Speaker 4: into the weekend game at all. But he was in

445
00:19:53,840 --> 00:19:57,360
Speaker 4: the the Thursday game that they or the Friday game

446
00:19:57,359 --> 00:19:57,760
Speaker 4: that floored.

447
00:19:57,760 --> 00:19:59,120
Speaker 3: So he's got a few more years to play.

448
00:19:59,240 --> 00:20:02,760
Speaker 4: Yeah, he's and look, he's exactly what you what kind

449
00:20:02,760 --> 00:20:03,399
Speaker 4: of what you would think.

450
00:20:03,480 --> 00:20:04,120
Speaker 5: He's a big guy.

451
00:20:04,119 --> 00:20:06,520
Speaker 4: If you remember Minute Bull, who is this big seven

452
00:20:06,520 --> 00:20:09,439
Speaker 4: to six guy in the NBA in the eighties and nineties,

453
00:20:09,600 --> 00:20:11,800
Speaker 4: he was thin as a rail. I mean just looked

454
00:20:11,800 --> 00:20:13,720
Speaker 4: like you just breathe on him and he would fall over.

455
00:20:13,920 --> 00:20:16,800
Speaker 4: Not this guy. This guy's he's not bulky like Shack,

456
00:20:16,920 --> 00:20:17,920
Speaker 4: but he's more like that.

457
00:20:17,960 --> 00:20:19,920
Speaker 5: He's he's he's proportional.

458
00:20:19,960 --> 00:20:21,680
Speaker 4: You wouldn't look at him and sit there and go, oh,

459
00:20:21,680 --> 00:20:23,280
Speaker 4: this is a big fat guy, or this is a

460
00:20:23,280 --> 00:20:25,480
Speaker 4: big skinny guy. He's kind of proportional for his seven

461
00:20:25,480 --> 00:20:26,359
Speaker 4: foot nine frame.

462
00:20:27,200 --> 00:20:27,960
Speaker 3: I can't imagine.

463
00:20:28,600 --> 00:20:32,119
Speaker 4: I and showed him, showed him, showed him standing in

464
00:20:32,960 --> 00:20:33,960
Speaker 4: like somebody's apartment.

465
00:20:33,960 --> 00:20:35,960
Speaker 5: Well for starters, he had to duck way down just

466
00:20:36,000 --> 00:20:36,880
Speaker 5: see in the doorway.

467
00:20:37,040 --> 00:20:38,919
Speaker 4: But he was like coming out, his head goes to

468
00:20:38,960 --> 00:20:40,359
Speaker 4: the top of the ceiling in this apartment.

469
00:20:40,720 --> 00:20:42,600
Speaker 3: Kind of car does he drive, He's got to be

470
00:20:42,680 --> 00:20:43,440
Speaker 3: a big one.

471
00:20:43,480 --> 00:20:46,000
Speaker 5: Well, like Shaq Shack used to have his cars.

472
00:20:46,040 --> 00:20:47,280
Speaker 4: I know at one point in time he had his

473
00:20:47,320 --> 00:20:49,200
Speaker 4: cars custom made where they would take out the front

474
00:20:49,200 --> 00:20:51,119
Speaker 4: seat and he would sit in the back seat in

475
00:20:51,119 --> 00:20:52,520
Speaker 4: the back because that's the only way that he could

476
00:20:52,560 --> 00:20:52,919
Speaker 4: drive a car.

477
00:20:53,200 --> 00:20:54,120
Speaker 5: Here seven to one.

478
00:20:54,119 --> 00:20:56,639
Speaker 3: Right, extend the steering wheel so he could grab it.

479
00:20:56,920 --> 00:20:59,920
Speaker 3: You're listening to Casey and Jim. It is ninety three WYBC.

480
00:21:08,560 --> 00:21:11,280
Speaker 2: His name is Jensen Huang, and he is the head

481
00:21:11,359 --> 00:21:15,680
Speaker 2: of Nvidia, and he is advising that every college student,

482
00:21:15,760 --> 00:21:18,320
Speaker 2: every teacher should encourage their.

483
00:21:18,160 --> 00:21:20,400
Speaker 3: Students to go and use AI.

484
00:21:20,640 --> 00:21:24,920
Speaker 2: He is saying that AI fluency isn't a bonus skill anymore.

485
00:21:25,359 --> 00:21:26,480
Speaker 3: It's the baseline.

486
00:21:26,800 --> 00:21:29,240
Speaker 7: If it were to hire a new college graduate today,

487
00:21:30,240 --> 00:21:33,240
Speaker 7: and I have a choice between two one that have

488
00:21:33,920 --> 00:21:38,439
Speaker 7: that is no clue what AI is, and one that

489
00:21:38,560 --> 00:21:42,080
Speaker 7: is expert in using AI, I would hire the one

490
00:21:42,119 --> 00:21:46,160
Speaker 7: who's expert in using AI. If I had an accountant,

491
00:21:46,600 --> 00:21:50,760
Speaker 7: a marketing person, the one that is expert in using AI,

492
00:21:51,440 --> 00:21:57,240
Speaker 7: supply chain, customer service, a salesperson, business development, a lawyer,

493
00:21:58,640 --> 00:22:02,119
Speaker 7: I would hire the one who is expert in using AI.

494
00:22:02,480 --> 00:22:05,639
Speaker 7: And so I would I would advise that every college student,

495
00:22:06,440 --> 00:22:10,639
Speaker 7: every every teacher should encourage their student to go use AI.

496
00:22:11,160 --> 00:22:14,879
Speaker 7: Every college student should graduate and be an expert in AI,

497
00:22:15,400 --> 00:22:19,640
Speaker 7: and every everybody. If you're a carpenter, if you're you know, electrician,

498
00:22:20,359 --> 00:22:23,960
Speaker 7: go use AI. Go see what it can do to

499
00:22:24,080 --> 00:22:28,600
Speaker 7: transform your current job, elevate yourself. If I were a farmer,

500
00:22:28,800 --> 00:22:32,639
Speaker 7: I would absolutely use AI. If I were a pharmacist, pharmacists,

501
00:22:32,640 --> 00:22:34,800
Speaker 7: I would use AI. I want to see how what

502
00:22:34,840 --> 00:22:37,560
Speaker 7: it could do to elevate my job so that I

503
00:22:37,600 --> 00:22:40,120
Speaker 7: could be the I could be the innovator.

504
00:22:39,840 --> 00:22:42,440
Speaker 5: To revolutionize this industry myself.

505
00:22:42,680 --> 00:22:44,960
Speaker 3: Yeah, okay, so he's talking about efficiencies.

506
00:22:45,280 --> 00:22:49,240
Speaker 2: He's an incredible salesperson because don't don't get a twisted

507
00:22:49,720 --> 00:22:51,240
Speaker 2: in video selling chips.

508
00:22:51,320 --> 00:22:55,080
Speaker 3: And he's got a vested interest in having.

509
00:22:55,760 --> 00:22:59,159
Speaker 2: People use AI, So why wouldn't he say that the

510
00:22:59,200 --> 00:23:01,480
Speaker 2: more people who you AI, the more they're going to

511
00:23:01,480 --> 00:23:02,360
Speaker 2: buy his product.

512
00:23:02,400 --> 00:23:05,320
Speaker 3: It's a great loop. But at the same time.

513
00:23:06,040 --> 00:23:09,320
Speaker 2: He's not wrong because this is where everything is headed

514
00:23:09,520 --> 00:23:13,280
Speaker 2: and companies are always looking for efficiencies and if you

515
00:23:13,320 --> 00:23:16,720
Speaker 2: can get those efficiencies with AI, you're just going to

516
00:23:16,800 --> 00:23:21,280
Speaker 2: help productivity and therefore guarantee your employment or actually help

517
00:23:21,359 --> 00:23:22,000
Speaker 2: you get a job.

518
00:23:22,160 --> 00:23:25,200
Speaker 4: Yeah, and what he's talking about here is is look,

519
00:23:25,640 --> 00:23:28,600
Speaker 4: whether you like it or not, AI is coming and

520
00:23:28,640 --> 00:23:31,840
Speaker 4: it's coming real, real fast. And he mentions about how,

521
00:23:32,160 --> 00:23:34,720
Speaker 4: you know, students should learn how to use AI. And

522
00:23:34,760 --> 00:23:36,840
Speaker 4: there's a real battle going on right now both in

523
00:23:36,920 --> 00:23:38,879
Speaker 4: you know, grade school and high school and at the

524
00:23:38,880 --> 00:23:41,800
Speaker 4: college level between the teachers and the students because the

525
00:23:41,840 --> 00:23:44,160
Speaker 4: students are trying to use AI to do their reports

526
00:23:44,200 --> 00:23:47,359
Speaker 4: and put their homework in and help them out as

527
00:23:47,400 --> 00:23:49,679
Speaker 4: much as possible, and the teachers have these tools that

528
00:23:50,000 --> 00:23:52,639
Speaker 4: try and detect AI, so the AI is doing it better.

529
00:23:52,800 --> 00:23:55,280
Speaker 4: It kind of reminds me of the way consumers and

530
00:23:55,320 --> 00:23:58,680
Speaker 4: the music industry acted when Napster came out in the nineties,

531
00:23:58,920 --> 00:24:01,160
Speaker 4: it was okay, I can get my music for free

532
00:24:01,160 --> 00:24:04,399
Speaker 4: on Napster, and then the music company started suing everybody, Well,

533
00:24:04,440 --> 00:24:07,119
Speaker 4: guess what downloadable music was coming. Whether they liked it

534
00:24:07,240 --> 00:24:09,679
Speaker 4: or not, there was no stopping that. It's very similar

535
00:24:09,760 --> 00:24:12,760
Speaker 4: here to what AI is coming. And look, I get

536
00:24:12,760 --> 00:24:14,560
Speaker 4: that a lot of people that listen to the show

537
00:24:14,560 --> 00:24:17,280
Speaker 4: every day absolutely hate AI data centers, and there's good

538
00:24:17,280 --> 00:24:20,160
Speaker 4: reason for a lot of that. But AI is coming,

539
00:24:20,240 --> 00:24:22,560
Speaker 4: whether we like it or not. So getting on board

540
00:24:22,560 --> 00:24:24,600
Speaker 4: with it just started. If you haven't touched it, just

541
00:24:24,640 --> 00:24:27,000
Speaker 4: start experimenting with it now, because it is going to

542
00:24:27,119 --> 00:24:30,480
Speaker 4: change everybody's job and it's coming in the next It's

543
00:24:30,480 --> 00:24:32,800
Speaker 4: not ten years out, it's more like two years out.

544
00:24:33,680 --> 00:24:38,320
Speaker 2: So he's saying that school should be teaching kids not

545
00:24:38,440 --> 00:24:41,080
Speaker 2: to fear AI because if they do that, they're setting

546
00:24:41,160 --> 00:24:44,000
Speaker 2: them up for unemployment. What they should be doing is

547
00:24:44,080 --> 00:24:49,680
Speaker 2: treating it like reading. It should be foundational and non negotiable,

548
00:24:49,760 --> 00:24:52,320
Speaker 2: and it should be taught early because if you're not

549
00:24:52,600 --> 00:24:56,879
Speaker 2: taught how to properly prompt AI, you're going to be

550
00:24:57,000 --> 00:24:59,560
Speaker 2: losing out. And we hear over and over the other

551
00:24:59,560 --> 00:25:04,679
Speaker 2: countries are embracing AI fast, and the United States wants

552
00:25:04,680 --> 00:25:09,159
Speaker 2: to outcompete everybody in this area. And if you're not

553
00:25:09,880 --> 00:25:12,879
Speaker 2: welcoming it with the next generation, you're going to be

554
00:25:12,920 --> 00:25:14,240
Speaker 2: putting them behind well.

555
00:25:14,280 --> 00:25:16,439
Speaker 4: And I find that that, you know, the more you

556
00:25:16,640 --> 00:25:19,320
Speaker 4: use it, the more all of a sudden, you find

557
00:25:19,440 --> 00:25:22,320
Speaker 4: more opportunities to use it, Like you start thinking about it.

558
00:25:22,320 --> 00:25:24,080
Speaker 4: And I use AI a little bit in my company

559
00:25:24,080 --> 00:25:26,200
Speaker 4: that I run, And the more I started using it,

560
00:25:26,240 --> 00:25:28,080
Speaker 4: I was like, oh, then I see something else. But

561
00:25:28,240 --> 00:25:29,920
Speaker 4: I bet I could use AI and do this faster.

562
00:25:30,080 --> 00:25:31,560
Speaker 4: And I bet I could use AI over here and

563
00:25:31,600 --> 00:25:33,800
Speaker 4: do this faster. And that's why everybody kind of needs

564
00:25:33,880 --> 00:25:36,520
Speaker 4: to start experimenting with it, because it starts to open

565
00:25:36,560 --> 00:25:40,440
Speaker 4: your eyes into other ways of doing it. And there's

566
00:25:40,480 --> 00:25:42,360
Speaker 4: going to be good in bad. Like everything else, there's

567
00:25:42,400 --> 00:25:44,240
Speaker 4: going to be good and bad that comes with AI.

568
00:25:44,640 --> 00:25:46,880
Speaker 4: But that doesn't mean that it's not going to come.

569
00:25:46,920 --> 00:25:48,440
Speaker 4: And I know a lot of people are like, ah,

570
00:25:48,520 --> 00:25:50,679
Speaker 4: that's you know that we shouldn't be doing this and

571
00:25:50,720 --> 00:25:52,399
Speaker 4: it's going to be the end of humanity and a

572
00:25:52,400 --> 00:25:55,080
Speaker 4: lot of pearl clutching and ringing of hands, Hey, AI

573
00:25:55,280 --> 00:25:58,200
Speaker 4: is coming. It's coming fast, and the ones that start

574
00:25:58,240 --> 00:26:00,680
Speaker 4: experimenting and using it now are going to be better

575
00:26:00,720 --> 00:26:03,280
Speaker 4: prepared for two or three years down the road when

576
00:26:03,320 --> 00:26:04,600
Speaker 4: it's right in front of our face.

577
00:26:04,720 --> 00:26:07,040
Speaker 2: So we used to be that knowledge was the currency.

578
00:26:07,320 --> 00:26:10,960
Speaker 2: Now it is knowledge with AI that is the currency.

579
00:26:11,160 --> 00:26:14,080
Speaker 2: And you said there's a lot of pearl clutching, Well

580
00:26:14,119 --> 00:26:17,560
Speaker 2: here's a guy who has more of an optimistic outlook

581
00:26:17,680 --> 00:26:20,679
Speaker 2: of things to come, not only with AI but robots.

582
00:26:21,240 --> 00:26:23,200
Speaker 6: You watched my last prediction video and you got a

583
00:26:23,200 --> 00:26:26,080
Speaker 6: little bit scared, but you need to keep watching so

584
00:26:26,200 --> 00:26:28,199
Speaker 6: you understand how this all ends. And this is my

585
00:26:28,280 --> 00:26:32,080
Speaker 6: prediction from twenty twenty eight to twenty thirty one. So

586
00:26:32,119 --> 00:26:34,600
Speaker 6: you think that AI taking all their jobs is a

587
00:26:34,600 --> 00:26:37,639
Speaker 6: scary part, but you need to hear about what happens

588
00:26:37,840 --> 00:26:40,679
Speaker 6: after they take all their jobs. Twenty twenty eight to

589
00:26:40,720 --> 00:26:43,840
Speaker 6: twenty thirty one is when the system completely flips on

590
00:26:43,920 --> 00:26:47,840
Speaker 6: his AI and robots are integrated into society and it's

591
00:26:47,960 --> 00:26:51,080
Speaker 6: part of everything. And at this point governments may try

592
00:26:51,080 --> 00:26:54,200
Speaker 6: to lower interest rates to bring back jobs, but companies

593
00:26:54,240 --> 00:26:57,440
Speaker 6: are going to be like, what is the point. AI

594
00:26:58,040 --> 00:27:01,200
Speaker 6: and robots can do everything a human can do ten

595
00:27:01,280 --> 00:27:04,639
Speaker 6: times better, ten times faster, asking for no days off

596
00:27:05,000 --> 00:27:05,840
Speaker 6: twenty four to seven.

597
00:27:05,920 --> 00:27:07,320
Speaker 5: So what does this do to countries?

598
00:27:07,400 --> 00:27:13,760
Speaker 6: Countries GDPs explode, productivity explodes all across the globe. That

599
00:27:13,880 --> 00:27:18,240
Speaker 6: means that everything around the world becomes extremely cheap, almost free.

600
00:27:18,320 --> 00:27:21,600
Speaker 6: Goods and services are going to be so cheap that

601
00:27:21,680 --> 00:27:23,920
Speaker 6: the UBI that I had told you earlier, the three

602
00:27:23,920 --> 00:27:26,639
Speaker 6: to four thousand dollars a month will.

603
00:27:26,400 --> 00:27:28,720
Speaker 5: Be universal high income.

604
00:27:28,840 --> 00:27:31,440
Speaker 6: It won't be basic income, it'll be high income because

605
00:27:31,440 --> 00:27:35,439
Speaker 6: the cost of living will become so cheap that that'll

606
00:27:35,440 --> 00:27:39,680
Speaker 6: be considered a very comfortable lifestyle. This is when humanity

607
00:27:39,920 --> 00:27:43,440
Speaker 6: basically shifts to a new frequency because jobs will become

608
00:27:43,440 --> 00:27:46,880
Speaker 6: a thing of the past. Jobs and working for money

609
00:27:46,960 --> 00:27:49,840
Speaker 6: will become an optional thing if people want to do it.

610
00:27:50,000 --> 00:27:52,439
Speaker 6: The first time, people will be able to focus on

611
00:27:52,560 --> 00:27:56,280
Speaker 6: things that they actually enjoy. They're going to be wondering, Hey,

612
00:27:56,440 --> 00:27:58,520
Speaker 6: now that I have all this free time, what do

613
00:27:58,600 --> 00:28:00,760
Speaker 6: I actually want to do? I want to do I

614
00:28:00,800 --> 00:28:02,080
Speaker 6: want to create things that I want to.

615
00:28:02,080 --> 00:28:03,280
Speaker 5: Do, things I'm passionate about.

616
00:28:03,480 --> 00:28:06,560
Speaker 6: There will be about like five or ten major AI

617
00:28:06,680 --> 00:28:10,480
Speaker 6: companies that are all competing for intelligence, and the more

618
00:28:10,520 --> 00:28:14,440
Speaker 6: competition there is, it drives a price of intelligence down,

619
00:28:14,440 --> 00:28:17,880
Speaker 6: so the cost of AI is going to be extremely cheap.

620
00:28:17,920 --> 00:28:20,080
Speaker 5: It'll just be everywhere, just like electricity.

621
00:28:20,520 --> 00:28:22,240
Speaker 2: So he goes on to say that this will just

622
00:28:22,440 --> 00:28:27,000
Speaker 2: raise the consciousness of humans. However, the big battle like

623
00:28:27,080 --> 00:28:30,800
Speaker 2: it is today, will become energy, which is why Elon

624
00:28:30,880 --> 00:28:32,560
Speaker 2: Musk is saying, no, we got to put these data

625
00:28:32,560 --> 00:28:36,160
Speaker 2: centers out in space. And Elon Musk was also talking

626
00:28:36,200 --> 00:28:38,160
Speaker 2: about he was when he was speaking at the World

627
00:28:38,160 --> 00:28:42,920
Speaker 2: Economic Forum of all places, that soon, probably sooner than

628
00:28:42,960 --> 00:28:46,000
Speaker 2: where you're gonna wear, robots will outnumber humans.

629
00:28:46,320 --> 00:28:48,000
Speaker 5: Yeah, and you're exactly right.

630
00:28:48,120 --> 00:28:50,520
Speaker 4: This is this is going to all come down to energy,

631
00:28:50,560 --> 00:28:53,520
Speaker 4: and it's the countries that can generate enough energy to

632
00:28:53,680 --> 00:28:55,960
Speaker 4: power AI that are going to win the AI war,

633
00:28:56,000 --> 00:28:58,600
Speaker 4: because that's really we're pretty close to running up against

634
00:28:58,600 --> 00:29:00,560
Speaker 4: that right now. You know, the the way the chips

635
00:29:00,560 --> 00:29:03,040
Speaker 4: are being developed and how the new ones are coming online.

636
00:29:03,200 --> 00:29:05,560
Speaker 4: We're producing enough energy to manage them now, but in

637
00:29:05,600 --> 00:29:09,160
Speaker 4: twelve to eighteen months, we probably aren't producing enough energy

638
00:29:09,200 --> 00:29:11,320
Speaker 4: to manage those chips that will be out in a

639
00:29:11,360 --> 00:29:13,800
Speaker 4: year or two from now. So you're right, it's whatever

640
00:29:13,840 --> 00:29:15,880
Speaker 4: country that can produce the most energy is going to

641
00:29:16,000 --> 00:29:18,160
Speaker 4: end up winning this battle. You bring up another great

642
00:29:18,200 --> 00:29:21,320
Speaker 4: point here too, is that once we see both AI,

643
00:29:21,600 --> 00:29:25,400
Speaker 4: especially in the workplace and making things more efficient for businesses,

644
00:29:25,520 --> 00:29:28,160
Speaker 4: but then when we see the introduction of humanoid robots

645
00:29:28,320 --> 00:29:32,440
Speaker 4: like the Optimists from Tesla and Elon Musk, we do

646
00:29:32,520 --> 00:29:35,160
Speaker 4: get to a point here where you look around and say, Okay,

647
00:29:35,840 --> 00:29:40,000
Speaker 4: it's AI and robots that are doing everybody's jobs. Now

648
00:29:40,040 --> 00:29:41,720
Speaker 4: what are we gonna do? And he talks a little

649
00:29:41,720 --> 00:29:44,680
Speaker 4: bit about universal basic income and universal high income, and

650
00:29:45,960 --> 00:29:47,800
Speaker 4: again back to my line, I've been using a lot,

651
00:29:47,840 --> 00:29:49,760
Speaker 4: a lot of pearl clutching and ringing of hands as

652
00:29:49,800 --> 00:29:52,320
Speaker 4: to how are people going to support themselves when all

653
00:29:52,320 --> 00:29:54,480
Speaker 4: of this happens? What sort of jobs are there going

654
00:29:54,520 --> 00:29:56,840
Speaker 4: to be? And I don't think anybody knows that answer

655
00:29:56,960 --> 00:29:59,200
Speaker 4: right now, but I have a high level of confidence

656
00:29:59,200 --> 00:30:01,120
Speaker 4: that we'll figure it. You know, when they invented the

657
00:30:01,120 --> 00:30:03,040
Speaker 4: steam engine, they thought, oh, that's going to put every

658
00:30:03,200 --> 00:30:03,800
Speaker 4: everybody that.

659
00:30:03,760 --> 00:30:06,640
Speaker 5: Works in the field's out of business. And it did.

660
00:30:06,880 --> 00:30:09,040
Speaker 4: But we figured that out, and people moved into the

661
00:30:09,080 --> 00:30:11,480
Speaker 4: industrialized age, and they moved to cities. And then when

662
00:30:11,600 --> 00:30:13,680
Speaker 4: the internet and computers got big in the eighties and

663
00:30:13,760 --> 00:30:16,080
Speaker 4: nineties were great efficiencies, and we thought, oh, well, it's

664
00:30:16,080 --> 00:30:17,280
Speaker 4: going to put a ton of people out of work,

665
00:30:17,280 --> 00:30:20,200
Speaker 4: and it did. And we've figured it out since then.

666
00:30:20,280 --> 00:30:22,320
Speaker 4: And I get the AI is scary. I get that

667
00:30:22,360 --> 00:30:25,520
Speaker 4: it's coming big and quick and fast.

668
00:30:26,040 --> 00:30:26,800
Speaker 5: We'll figure it out.

669
00:30:26,800 --> 00:30:27,400
Speaker 3: We'll figure out.

670
00:30:27,400 --> 00:30:29,120
Speaker 4: I don't have any answers for it, but I do

671
00:30:29,160 --> 00:30:31,360
Speaker 4: have the answer is that somehow or another, we'll figure

672
00:30:31,400 --> 00:30:31,600
Speaker 4: it out.

673
00:30:31,800 --> 00:30:38,600
Speaker 3: You're listening to ninety three WIBC. Good morning. You alluded

674
00:30:38,640 --> 00:30:44,160
Speaker 3: to this yesterday. X now has a down button, an

675
00:30:44,280 --> 00:30:45,280
Speaker 3: unlike feature.

676
00:30:45,360 --> 00:30:45,840
Speaker 2: What is it?

677
00:30:46,000 --> 00:30:48,840
Speaker 4: Yeah, so I was just on Twitter during the break there,

678
00:30:48,880 --> 00:30:50,480
Speaker 4: just trying to see if there was some breaking news.

679
00:30:50,480 --> 00:30:53,160
Speaker 4: So yes, at least on mine, they're rolling this out,

680
00:30:53,240 --> 00:30:55,840
Speaker 4: I think for various people, so not everybody has it.

681
00:30:55,880 --> 00:31:00,440
Speaker 4: But on my Twitter feed the down vote button has

682
00:31:00,680 --> 00:31:03,440
Speaker 4: shown up. Now you have to be an ex subscriber,

683
00:31:03,520 --> 00:31:05,200
Speaker 4: so you have to be a verified and subscriber to

684
00:31:05,240 --> 00:31:07,200
Speaker 4: get it. Other people do not have it yet, and

685
00:31:07,280 --> 00:31:09,680
Speaker 4: it is showing up only in the comments, so I

686
00:31:09,680 --> 00:31:12,560
Speaker 4: can't downvote somebody's post, but if I go into the comments,

687
00:31:12,800 --> 00:31:15,920
Speaker 4: then I can downvote somebody's comments. So just literally this

688
00:31:16,000 --> 00:31:18,440
Speaker 4: morning since we've been on the air here. That has

689
00:31:18,480 --> 00:31:20,520
Speaker 4: showed up on my Twitter feed.

690
00:31:20,600 --> 00:31:23,160
Speaker 2: That's interesting. I'm not seeing it online. You must be

691
00:31:23,280 --> 00:31:26,320
Speaker 2: very special. What's your Twitter account.

692
00:31:27,080 --> 00:31:31,200
Speaker 4: At CGC underscore SI you want to follow me on Twitter?

693
00:31:31,520 --> 00:31:35,040
Speaker 2: And my NY's Casey Daniels three one seven. Some local

694
00:31:35,040 --> 00:31:39,640
Speaker 2: TV stations cutting jobs, laying off staff. This as advertising

695
00:31:39,680 --> 00:31:43,680
Speaker 2: money is shrinking and audience numbers are falling.

696
00:31:43,960 --> 00:31:47,280
Speaker 3: Station site the need to control costs and adapt.

697
00:31:47,320 --> 00:31:50,240
Speaker 2: And that's kind of interesting because there's two different articles

698
00:31:50,280 --> 00:31:53,800
Speaker 2: here we're going to discuss briefly, and they both come

699
00:31:53,920 --> 00:31:55,440
Speaker 2: to the same and.

700
00:31:57,200 --> 00:32:00,000
Speaker 3: That is that it's not going well for some media outline.

701
00:32:00,440 --> 00:32:00,680
Speaker 5: Yeah.

702
00:32:00,800 --> 00:32:02,560
Speaker 4: We talked about this a little bit last week when

703
00:32:02,600 --> 00:32:06,280
Speaker 4: the FCC approved that major mega merger between local media

704
00:32:06,320 --> 00:32:10,360
Speaker 4: operators next Star and Tegna, And this is a great

705
00:32:10,400 --> 00:32:12,720
Speaker 4: example of that. Look, the media business has changed a lot.

706
00:32:12,760 --> 00:32:14,840
Speaker 4: It's a lot harder than it used to be. I remember,

707
00:32:14,920 --> 00:32:16,440
Speaker 4: you know, Casey, you and I both spent our whole

708
00:32:16,440 --> 00:32:18,520
Speaker 4: careers in media, and I remember when I first started.

709
00:32:19,240 --> 00:32:20,959
Speaker 4: You know, the old guys, the old timers that were

710
00:32:20,960 --> 00:32:22,920
Speaker 4: still around, used to talk about in the days when

711
00:32:23,240 --> 00:32:26,000
Speaker 4: you know, the late seventies or the salespeople just used

712
00:32:26,040 --> 00:32:27,800
Speaker 4: to sit back there in the office and they'd answer

713
00:32:27,880 --> 00:32:30,000
Speaker 4: the phone and be like, how many commercials you want?

714
00:32:30,240 --> 00:32:31,640
Speaker 5: And that's how the sale went.

715
00:32:31,800 --> 00:32:34,560
Speaker 4: And it's not like that anymore, and it's putting pressure

716
00:32:34,560 --> 00:32:38,480
Speaker 4: on everyone. And yeah, this announcement that there are hundreds

717
00:32:38,480 --> 00:32:41,360
Speaker 4: of layoffs happening in local television stations all across the country.

718
00:32:41,480 --> 00:32:45,440
Speaker 2: Yep, you've got large media mergers also consolidation, definitely reshaping

719
00:32:45,480 --> 00:32:48,360
Speaker 2: the industry. And it's also killing the local newsroom. And

720
00:32:48,360 --> 00:32:51,320
Speaker 2: then everybody wonders why nobody trusts the media. And now

721
00:32:51,360 --> 00:32:53,920
Speaker 2: the other article that I wanted to mention was that

722
00:32:54,160 --> 00:32:59,240
Speaker 2: some veteran podcasters are quitting, and it's the same story.

723
00:32:59,640 --> 00:33:01,440
Speaker 3: The money these drying up.

724
00:33:01,920 --> 00:33:03,400
Speaker 5: Well, this has always been a challenge.

725
00:33:03,400 --> 00:33:06,600
Speaker 4: So the media business has always relied on advertising, and

726
00:33:06,640 --> 00:33:10,360
Speaker 4: that was a great model for decades, especially because the

727
00:33:10,400 --> 00:33:15,000
Speaker 4: two big media entities, radio and television, they were limited

728
00:33:15,640 --> 00:33:18,120
Speaker 4: by the federal government and the FCC. So if I

729
00:33:18,160 --> 00:33:20,200
Speaker 4: was an entrepreneur and I wanted to come into a

730
00:33:20,280 --> 00:33:22,600
Speaker 4: town and start a TV station, I can't just start

731
00:33:22,640 --> 00:33:25,920
Speaker 4: a TV station from scratch. The federal government limited how

732
00:33:25,960 --> 00:33:27,920
Speaker 4: many you could have. Whether you know Back in the day,

733
00:33:27,920 --> 00:33:30,520
Speaker 4: it was you know, four television stations or three television

734
00:33:30,520 --> 00:33:32,960
Speaker 4: stations and maybe ten or twelve radio stations, and that

735
00:33:33,160 --> 00:33:33,400
Speaker 4: was it.

736
00:33:33,440 --> 00:33:34,720
Speaker 5: They weren't making anymore.

737
00:33:34,920 --> 00:33:38,800
Speaker 4: So when the federal government artificially restricts the marketplace, well

738
00:33:38,800 --> 00:33:40,880
Speaker 4: that's great. If you've got one of those licenses. Back

739
00:33:40,880 --> 00:33:43,000
Speaker 4: in the day, you could print money. Well, now the

740
00:33:43,040 --> 00:33:46,400
Speaker 4: media landscape's totally changed, and we're seeing that these massively

741
00:33:46,440 --> 00:33:50,880
Speaker 4: successful podcasters even today are struggling to get enough advertising.

742
00:33:50,920 --> 00:33:53,720
Speaker 4: Advertising in the modern world, it's a tough business. It

743
00:33:53,800 --> 00:33:56,920
Speaker 4: is very cyclical. As soon as they're softening in the economy,

744
00:33:57,080 --> 00:34:00,440
Speaker 4: that's like the first thing that most businesses is their

745
00:34:00,480 --> 00:34:03,120
Speaker 4: marketing budget. Yeah, whether that's the right decision or the

746
00:34:03,120 --> 00:34:05,360
Speaker 4: wrong decision, it's usually one of the first things they cut.

747
00:34:05,440 --> 00:34:09,200
Speaker 4: So advertising has always been a very difficult business to

748
00:34:09,239 --> 00:34:11,279
Speaker 4: be in, and in the modern day, it's making it

749
00:34:11,320 --> 00:34:13,799
Speaker 4: even harder, and we're seeing both new media and old

750
00:34:13,840 --> 00:34:15,040
Speaker 4: media being directly.

751
00:34:14,760 --> 00:34:15,440
Speaker 5: Affected by that.

752
00:34:15,840 --> 00:34:19,600
Speaker 2: Data shows that the top ten podcasts account for about

753
00:34:19,640 --> 00:34:24,600
Speaker 2: forty percent of weekly podcast listenership, and what there's over

754
00:34:24,680 --> 00:34:28,480
Speaker 2: three million different podcasts, So according to this article from

755
00:34:28,520 --> 00:34:31,000
Speaker 2: The Wall Street Journal, they're saying that the podcast gold

756
00:34:31,080 --> 00:34:35,480
Speaker 2: rush is over and that the market is completely saturated

757
00:34:35,600 --> 00:34:38,239
Speaker 2: and the ad money is drawing up as well. You

758
00:34:38,280 --> 00:34:42,040
Speaker 2: put all of the things together, getting yourself a microphone

759
00:34:42,080 --> 00:34:44,520
Speaker 2: in saying I'm going to do a podcast may not

760
00:34:44,600 --> 00:34:46,000
Speaker 2: be a smart business decision.

761
00:34:46,040 --> 00:34:47,640
Speaker 4: Well, this kind of ties back to a story we

762
00:34:47,640 --> 00:34:49,880
Speaker 4: had earlier with the guy that founded only Fans and

763
00:34:49,960 --> 00:34:52,880
Speaker 4: him passing away, and we talked about it. Then you know, again,

764
00:34:53,040 --> 00:34:56,200
Speaker 4: Only Fans was not started as a porn website. It

765
00:34:56,239 --> 00:34:59,160
Speaker 4: was started for like musicians and artists to be able

766
00:34:59,200 --> 00:35:01,880
Speaker 4: to generate revenue based on the content they create. And

767
00:35:01,880 --> 00:35:06,000
Speaker 4: again that was started because it's difficult, and apparently it's

768
00:35:06,000 --> 00:35:08,239
Speaker 4: difficult whether you're a big time podcaster or you own

769
00:35:08,280 --> 00:35:10,520
Speaker 4: a TV station or you're just a one man band

770
00:35:10,560 --> 00:35:14,000
Speaker 4: making content. Making a living and building a business off

771
00:35:14,040 --> 00:35:17,360
Speaker 4: of just advertising revenue is very, very difficult.

772
00:35:17,880 --> 00:35:19,440
Speaker 2: So I wanted to let you know that it has

773
00:35:19,480 --> 00:35:22,360
Speaker 2: been announced that the Counting Crows are going to headlight

774
00:35:22,440 --> 00:35:26,879
Speaker 2: the headline the millerte Carb Day concert on Friday May

775
00:35:26,920 --> 00:35:30,800
Speaker 2: twenty second at the IMS at the Speedway.

776
00:35:30,840 --> 00:35:33,000
Speaker 3: That's going to be a fun show. I wonder if

777
00:35:33,800 --> 00:35:34,120
Speaker 3: what's the.

778
00:35:34,160 --> 00:35:36,240
Speaker 5: Lead singer's name Adam Duritz, Adam Durreth.

779
00:35:36,560 --> 00:35:38,759
Speaker 3: Is he going to take a shower? He's known for

780
00:35:38,840 --> 00:35:39,520
Speaker 3: not showering.

781
00:35:40,120 --> 00:35:44,319
Speaker 4: Typical musician Sting had that too. He was a yeah

782
00:35:44,400 --> 00:35:46,040
Speaker 4: that would say that he'd go weeks and weeks and

783
00:35:46,040 --> 00:35:47,080
Speaker 4: weeks without showering.

784
00:35:47,239 --> 00:35:50,080
Speaker 3: Actually, you might want a shower after the show. Always

785
00:35:50,960 --> 00:35:53,399
Speaker 3: Miller like carb Day, Yeah, good time, get a little

786
00:35:53,480 --> 00:35:55,240
Speaker 3: rowdy County Crows.

787
00:35:55,600 --> 00:35:58,480
Speaker 2: Thank you Jim, Thank you Kevin. Good to have you back,

788
00:35:58,560 --> 00:35:59,760
Speaker 2: and thank you for listening.

789
00:36:00,239 --> 00:36:04,320
Speaker 3: This is ninety three w IBC Love No.

790
00:36:04,320 --> 00:36:08,680
Speaker 5: I Gotta get up, little stuck soul time wait by.

791
00:36:08,640 --> 00:36:14,879
Speaker 8: The chase, cheat man around this town fall roun, I'm

792
00:36:14,960 --> 00:36:25,520
Speaker 8: fan bothering aroround this Soultti long this town fall, I'm

793
00:36:25,640 --> 00:36:28,120
Speaker 8: man fothering were had this f