WEBVTT - ‘Tech Tuesday’ with Rich DeMuro | Beef Prices

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<v Speaker 1>You're listening to Bill Handle on demand from KFI AM

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<v Speaker 1>six forty.

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<v Speaker 2>KFI AM six forty Bill Handle here on a Tuesday morning,

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<v Speaker 2>October twenty eighth. Some of the stories we're looking at. Unfortunately,

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<v Speaker 2>Hurricane Melissa has hit them. Jamaica with a vengeance. One

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<v Speaker 2>hundred and seventy five mile an hour wins Category five,

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<v Speaker 2>devastating Jamaica. But that was assumed that was going to happen.

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<v Speaker 2>Here's the fun when Texas Attorney General Ken Paxton is

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<v Speaker 2>suing the makers of Tilt All, saying that tailand All

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<v Speaker 2>failed to warn consumers about the risks of taking the

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<v Speaker 2>drug while pregnant.

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<v Speaker 3>What risks really? I think that since.

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<v Speaker 2>You have x percentage of women who were pregnant who

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<v Speaker 2>in fact unfortunately delivered kids who were were autistic, and

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<v Speaker 2>most of them at some point in their pregnancy eight pizza,

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<v Speaker 2>I believe that Ken Paxson must sue all the local

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<v Speaker 2>pizza makers in the area of which women had autism,

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<v Speaker 2>because pizza is equivalent to autism. Thailand all equivalent to autism.

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<v Speaker 2>Texas is nuts. I mean, it doesn't stop. None of

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<v Speaker 2>this does all, right, tell you what does stop, unfortunately

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<v Speaker 2>is tech Tuesday with rich Dmurrow.

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<v Speaker 3>Wish we could do that forever because I have so

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<v Speaker 3>many questions.

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<v Speaker 4>Good morning, rich Oh thanks Bill. I thought you said

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<v Speaker 4>it's going to stop. I was like, oh, wow, no, no.

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<v Speaker 2>Yeah, Well unfortunately it's going to stop because we are limited.

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<v Speaker 2>When we talk about these lawsuits for crazy those are

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<v Speaker 2>not limited. The amount of time we have together is limited.

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<v Speaker 2>That's where I was going. You know that anyone can

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<v Speaker 2>sue for anything. I mean, when it's that kind of

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<v Speaker 2>high level thing, that's a whole nother world. Yeah, this

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<v Speaker 2>is the Texas Attorney General doing. It's not just some

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<v Speaker 2>crazy ass guy out there. But anyway, let's get into

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<v Speaker 2>our stuff because I think this actually is more fun.

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<v Speaker 3>So let's talk about fake AI receipts. Now, what is

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<v Speaker 3>that about?

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<v Speaker 1>Yeah, and this is something that's been kind of going on.

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<v Speaker 3>For a bit.

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<v Speaker 4>And now there's a report from the Financial Times that

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<v Speaker 4>businesses are getting tricked by these AI generator receipts. And

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<v Speaker 4>we know that if you do expense reports, Number one,

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<v Speaker 4>they're annoying. Number two, they require a lot number three,

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<v Speaker 4>A lot of it's automated because these companies have seated

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<v Speaker 4>control to these giant concurs of the world and things

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<v Speaker 4>like that, and employees are now apparently submitting ultra realistic

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<v Speaker 4>fake expense receipts thanks to AI.

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<v Speaker 1>And so one of these.

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<v Speaker 4>Software companies ramps As they flagged over a million dollars

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<v Speaker 4>in fake receipts in just ninety days. And they look real,

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<v Speaker 4>so the AI can even make them look like they're

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<v Speaker 4>wrinkled paper. They can put signatures on them, and people,

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<v Speaker 4>you know these AI companies, they put like a water

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<v Speaker 4>mark in them so that you can't really submit them

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<v Speaker 4>because the software will figure that out.

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<v Speaker 1>So what do the employees do.

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<v Speaker 4>They just screenshot it or take a picture of it

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<v Speaker 4>with their phone and they get around that. So this

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<v Speaker 4>is a huge issue I think for companies, and it's

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<v Speaker 4>something that I if you're an employee and you're doing this,

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<v Speaker 4>I don't know why you would do this, because you

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<v Speaker 4>don't want to get caught doing this would be yeah.

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<v Speaker 2>But I have a question, why can't anybody use existing

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<v Speaker 2>technology and just put in a fake expense report or

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<v Speaker 2>are you talking about providers that putting that in there

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<v Speaker 2>and getting money sent to them for products they didn't

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<v Speaker 2>send into the company, didn't sell the company.

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<v Speaker 3>I don't know who is doing this.

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<v Speaker 4>Well, I think it's the employees that are going on

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<v Speaker 4>company travel and so they are they're padding. It's it's

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<v Speaker 4>kind of a new way of what's been going on forever,

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<v Speaker 4>which is patting the expense report right, except this time

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<v Speaker 4>it's ultra realistic. And because I think the idea here

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<v Speaker 4>is because AI is fact checking the expense reports before

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<v Speaker 4>they go for payment. Majority of the time, you know,

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<v Speaker 4>I think that AI just looks at the receipt says, oh,

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<v Speaker 4>that looks good, and it passes it through. So but

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<v Speaker 4>even SAP concur which you know, they scan a lot

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<v Speaker 4>of these receipts, one of their executives said, you can't

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<v Speaker 4>even trust your eyes anymore because these receipts look so good.

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<v Speaker 4>And so my question is, if you're an employee doing this,

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<v Speaker 4>you're going to get fired. So probably not a good idea.

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<v Speaker 3>Well, I mean, it's just another way of stealing money.

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<v Speaker 2>I'm assuming, right, you pitch in a fake report, which

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<v Speaker 2>people do all day long and until they don't. What

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<v Speaker 2>you're saying is AI just makes it easier for an

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<v Speaker 2>employee to rip off the employer bottom line.

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<v Speaker 4>It makes this It makes it very easy and I

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<v Speaker 4>remember seeing a story about this a couple of months

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<v Speaker 4>ago where this was just starting to happen, and this

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<v Speaker 4>was before the AI image generators have gotten so good now,

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<v Speaker 4>and I remember trying to generate one of these receipts

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<v Speaker 4>and I could not believe my eyes. I mean, it

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<v Speaker 4>was so good that it's like, oh my gosh. So

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<v Speaker 4>I think for maybe here's what I think happens. Maybe

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<v Speaker 4>employees tiptoe into this by saying, oh shoot, I forgot

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<v Speaker 4>to get that receipt or I need that receipt, and

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<v Speaker 4>so maybe they recreate it, and then all of a sudden,

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<v Speaker 4>you know, some other people just realize that you can

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<v Speaker 4>just make this very simple.

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<v Speaker 2>Okay, Rich anti recognition glasses. I don't even know what

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<v Speaker 2>that means other than I don't recognize you.

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<v Speaker 1>Yeah.

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<v Speaker 4>So imagine you put these glasses on and you try

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<v Speaker 4>to use face ID on your phone and it does

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<v Speaker 4>not work. That's what we're talking about here. So this

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<v Speaker 4>is a company called Zenny Optical. They've come out with

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<v Speaker 4>over the years a bunch of glass for like blocking

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<v Speaker 4>blue light and things like that. But now they've got

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<v Speaker 4>this new technology called zeny id Guard, and it blocks

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<v Speaker 4>infrared facial recognition systems from tracking you. So I thought

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<v Speaker 4>this was kind of cool, kind of interesting, kind of

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<v Speaker 4>a sign of our times.

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<v Speaker 1>So the coding on these glasses, which is.

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<v Speaker 4>A subtle pink so that you know, you kind of

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<v Speaker 4>signal to other people that hey, I'm blocking this stuff,

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<v Speaker 4>reflects up to eighty percent of near infrared light, which

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<v Speaker 4>is what a lot of cameras and biometric systems use

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<v Speaker 4>to identify faces. And you can test this out very

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<v Speaker 4>simply by trying face idea on your phone or something

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<v Speaker 4>like Windows Hello on a Windows PC, and they will

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<v Speaker 4>not work. So the idea here is that you wear

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<v Speaker 4>these glasses, you can walk around town and facial recognition

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<v Speaker 4>cameras that are trying to capture your biometrics are just

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<v Speaker 4>not going to work, so you can.

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<v Speaker 1>I don't know if.

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<v Speaker 4>You're completely anonymous when you wear these, but it's just

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<v Speaker 4>one step in kind of protecting your identity.

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<v Speaker 3>No, there's entire industries that are anti.

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<v Speaker 2>Where technology comes up with something and then instantly there

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<v Speaker 2>now is a group, a small group or a company

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<v Speaker 2>that say, oh no, no, we're going to fight that,

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<v Speaker 2>and it's it seems like it's one industry following another industry.

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<v Speaker 3>So if you don't want your face right, if you.

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<v Speaker 2>Don't want facial recognition, you walk around all day with,

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<v Speaker 2>if you don't need glasses with these playing lenses with

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<v Speaker 2>no prescription, and then you're theoretically fine, I have that right.

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<v Speaker 3>Yes, huh. Isn't it easier just to wear like ninja

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<v Speaker 3>ninja masks and you know what those costs? Six those

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<v Speaker 3>cost six bucks.

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<v Speaker 4>It's simpler than the ninja mask because this still lets

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<v Speaker 4>people see your eyes. But it's just you know, look,

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<v Speaker 4>I think when it comes to what you said to

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<v Speaker 4>your point of any industry that pops up, there's always

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<v Speaker 4>going to be a reactionary industry. And I think that

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<v Speaker 4>you know, is this a bit of a ploy to

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<v Speaker 4>get people to spend money on these glasses they may

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<v Speaker 4>or may not need. Is this really protecting your you know,

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<v Speaker 4>your facial identification?

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<v Speaker 3>Like who knows?

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<v Speaker 4>But the reality is that we see this stuff happen

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<v Speaker 4>all the time, and you know, it's one way that

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<v Speaker 4>people can feel more secure if they feel like they're

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<v Speaker 4>getting id'd in too many places.

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<v Speaker 1>And I think it is interesting we've heard.

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<v Speaker 4>Over and over bill that they use this facial recognition

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<v Speaker 4>in places like concerts.

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<v Speaker 1>If you look and this is you know, because I

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<v Speaker 1>love technology, So.

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<v Speaker 4>Anywhere I go, if you look at like small print

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<v Speaker 4>on signs at places you go, a majority of them

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<v Speaker 4>are now mentioning that they are using some sort of

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<v Speaker 4>automated facial recognition or facial tracking at grocery stores and

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<v Speaker 4>different retailers that you go to. So when you walk

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<v Speaker 4>in there, yeah, they're they're figuring out like, oh, okay,

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<v Speaker 4>this person comes in. They may not have a name

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<v Speaker 4>to you just yet, but they know who you are

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<v Speaker 4>based on the fact that you come in there three

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<v Speaker 4>times a week. And eventually they could layer that with

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<v Speaker 4>some sort of third party database and figure out, hey,

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<v Speaker 4>this is Rich he's in here every Wednesday.

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<v Speaker 3>Hey, are we reaching the point where you know?

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<v Speaker 2>For example, China uses face recognition basically for every single citizen.

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<v Speaker 3>They know what every single one of.

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<v Speaker 2>Their people looks like with technology, which I don't understand

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<v Speaker 2>because they look all the same to me. But you've

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<v Speaker 2>got an entire country doing this. Are we heading in

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<v Speaker 2>that direction? You think where we're all going to be

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<v Speaker 2>somehow surveilled.

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<v Speaker 4>I think it's already happening. I think that it's already happening.

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<v Speaker 4>And I mean, look, when I travel, I go from

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<v Speaker 4>my car to the airport, to the security to the

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<v Speaker 4>next country without speaking to a human being, or in

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<v Speaker 4>most cases, without even showing any idea. I mean, when

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<v Speaker 4>you go to LAX and you park on the parking

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<v Speaker 4>you know structures there, it reads your license plate. If

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<v Speaker 4>you've already prepaid, it opens the gate. You go into

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<v Speaker 4>the LAX, you've got facial recognition, You walk up to

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<v Speaker 4>a camera, it snaps a picture of you. It says, okay,

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<v Speaker 4>you're rich Demiro. The gate opens up, you go in.

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<v Speaker 4>When you enter the other country, you scan your passport

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<v Speaker 4>or your face, and it just says, hey, okay, come

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<v Speaker 4>on in. So we're already living in a society where

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<v Speaker 4>the government already knows who you are. They've got your biometrics,

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<v Speaker 4>they've got your face, and you know, we've all sort

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<v Speaker 4>of agreed to this. And it's I think the private

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<v Speaker 4>companies that are catching up to this, they probably have

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<v Speaker 4>more information than the government.

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<v Speaker 1>Because we've handed it to them.

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<v Speaker 4>So I think, you know, we're going to see a

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<v Speaker 4>renaissance of people saying I want to reclaim some of

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<v Speaker 4>my privacy.

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<v Speaker 1>I'm not sure that's going to be possible in the future.

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<v Speaker 2>Now, I mean, how do you do that without legislation,

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<v Speaker 2>without laws that tell these companies and these organizations you

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<v Speaker 2>cannot do that anymore short of that.

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<v Speaker 3>And you're right. It just occurred to me.

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<v Speaker 2>I just came back from Europe a few weeks ago,

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<v Speaker 2>and as I was getting off the airplane and there's

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<v Speaker 2>a line for American citizens and people who have a

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<v Speaker 2>foreign passports, and literally I have my passport in my pocket,

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<v Speaker 2>and as I'm taking my passport out, uh, the TSA

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<v Speaker 2>person or in this case, the customs and the customers

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<v Speaker 2>people say no, no, just walk through here, just look

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<v Speaker 2>at the camera.

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<v Speaker 3>And I was kind of floored. And there's my picture ugly.

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<v Speaker 2>I mean, there's is there such thing as a good

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<v Speaker 2>looking picture on driver's licenses or any of this, any

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<v Speaker 2>of these programs.

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<v Speaker 1>I mean, I don't mind mine, but they don't let

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<v Speaker 1>you take another one. I mean, I you.

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<v Speaker 2>Can in yours, because yeah, you can for your driver's license.

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<v Speaker 2>You can say, well, you take another one. I'll let

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<v Speaker 2>you look at it, just in case will.

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<v Speaker 1>Because they wouldn't let me look. They just said that's okay, you're.

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<v Speaker 2>Good, No, no you ask hey, can I take a look.

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<v Speaker 2>Do you mind if I take a look, because it's

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<v Speaker 2>a digital Tay.

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<v Speaker 1>You're gonna come up the system.

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<v Speaker 2>They got to get people, Yeah, I know, But then

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<v Speaker 2>they have to take the picture because what if someone blinks,

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<v Speaker 2>what if someone has their eyes closed?

0:12:03.720 --> 0:12:04.680
<v Speaker 1>Well, they looked for that.

0:12:04.880 --> 0:12:06.920
<v Speaker 4>They they all they're looking for is just to make

0:12:06.960 --> 0:12:09.280
<v Speaker 4>sure that the measurements for biometrics are fine.

0:12:09.280 --> 0:12:11.120
<v Speaker 1>They're not. They don't care if you have you know,

0:12:11.440 --> 0:12:12.160
<v Speaker 1>if you look good.

0:12:12.200 --> 0:12:13.880
<v Speaker 3>No, what I'm talking about, No, No, I'm talking about I'm

0:12:13.880 --> 0:12:16.000
<v Speaker 3>talking about. Yeah, I think we're on different pages here.

0:12:16.000 --> 0:12:19.600
<v Speaker 2>I'm talking about the driver's licenses photos. That's where I

0:12:19.640 --> 0:12:22.600
<v Speaker 2>was going. Okay, okay, we're going. I'm glad we missed

0:12:22.600 --> 0:12:25.280
<v Speaker 2>each other. And two ships passing in the night. Rich,

0:12:25.559 --> 0:12:27.760
<v Speaker 2>we'll catch you at this Saturday, eleven am to two

0:12:27.800 --> 0:12:28.840
<v Speaker 2>pm right here on KFI.

0:12:28.960 --> 0:12:31.600
<v Speaker 3>You have a good win, all right, thank you? You

0:12:31.800 --> 0:12:34.840
<v Speaker 3>got it. A Trump story I want to share with you.

0:12:35.679 --> 0:12:39.640
<v Speaker 2>When the president ran for president, he said he was

0:12:39.679 --> 0:12:41.880
<v Speaker 2>going to bring down prices.

0:12:41.960 --> 0:12:43.160
<v Speaker 3>That was part of his campaign.

0:12:43.480 --> 0:12:46.960
<v Speaker 2>Inflation was too high, prices are way too high, and

0:12:47.000 --> 0:12:49.640
<v Speaker 2>he said, I'm going to cut food prices in half

0:12:49.720 --> 0:12:52.880
<v Speaker 2>by the first year. Now, that is I don't believe that.

0:12:52.960 --> 0:12:56.200
<v Speaker 2>Of course, that can't be done. That's hyperbole, There's no

0:12:56.320 --> 0:12:59.280
<v Speaker 2>question about it. That is everybody gets the pass saying

0:12:59.320 --> 0:13:02.880
<v Speaker 2>stuff like that. However, he was serious when he said

0:13:02.920 --> 0:13:05.559
<v Speaker 2>he was going to bring down prices.

0:13:06.520 --> 0:13:07.520
<v Speaker 3>They have not come down.

0:13:08.120 --> 0:13:12.360
<v Speaker 2>Inflation is here and where it's really showing itself is

0:13:13.000 --> 0:13:15.520
<v Speaker 2>the food prices, particularly.

0:13:15.040 --> 0:13:17.360
<v Speaker 3>Beef prices, and Neil and I have talked about that.

0:13:17.960 --> 0:13:22.200
<v Speaker 2>Meat has gone through the roof, and even the President

0:13:22.320 --> 0:13:25.720
<v Speaker 2>has expressed frustration with the high prices that we're paying

0:13:25.760 --> 0:13:29.760
<v Speaker 2>for in grocery stores, particularly meat. And he's promising quote

0:13:29.800 --> 0:13:31.920
<v Speaker 2>a deal to bring the price down. And what does

0:13:31.960 --> 0:13:35.840
<v Speaker 2>that mean, Well, to bring something down, you boost supply.

0:13:36.880 --> 0:13:38.640
<v Speaker 3>Right, the more supply, the cheaper it gets.

0:13:39.600 --> 0:13:43.360
<v Speaker 2>So since the dairy herds or the beef herds are

0:13:43.559 --> 0:13:45.439
<v Speaker 2>at a minimum right now, they've really shrunk over the

0:13:45.480 --> 0:13:49.000
<v Speaker 2>past several years. He is purchasing eighty thousand tons of

0:13:49.040 --> 0:13:52.800
<v Speaker 2>beef from Argentina. That's quadruple the typical quota.

0:13:53.360 --> 0:13:54.600
<v Speaker 3>And man has there.

0:13:54.520 --> 0:13:59.440
<v Speaker 2>Been backlash from farm state Republicans and agricultural industry groups

0:13:59.440 --> 0:14:03.600
<v Speaker 2>who are really on his side and feel very burnt

0:14:04.480 --> 0:14:05.160
<v Speaker 2>by this.

0:14:05.280 --> 0:14:05.800
<v Speaker 3>Policy.

0:14:06.960 --> 0:14:09.800
<v Speaker 2>Remember the election was fueled by the concern over high costs,

0:14:11.520 --> 0:14:16.680
<v Speaker 2>and guess what we have right now high costs, big costs.

0:14:17.679 --> 0:14:19.720
<v Speaker 2>So this is a lose lose for the president on

0:14:19.720 --> 0:14:23.320
<v Speaker 2>this one. Why because it's the best interest of the

0:14:23.360 --> 0:14:26.240
<v Speaker 2>country to bring down prices. If we're now paying what

0:14:26.360 --> 0:14:29.520
<v Speaker 2>I think, six dollars and thirty cents average price per

0:14:29.560 --> 0:14:33.360
<v Speaker 2>pound for hamburger meat, I mean I never remember.

0:14:33.000 --> 0:14:33.720
<v Speaker 3>It being that high.

0:14:33.760 --> 0:14:38.000
<v Speaker 2>Have you kneel six dollars and thirty cents for hamburger meat?

0:14:38.440 --> 0:14:40.040
<v Speaker 3>No? Not my recollection.

0:14:40.160 --> 0:14:43.680
<v Speaker 2>No, No, it's pretty high. So he is saying, okay,

0:14:43.720 --> 0:14:45.600
<v Speaker 2>we have to increase supply. That's how we get our

0:14:45.600 --> 0:14:50.480
<v Speaker 2>prices down. So it's he loses, he loses, no matter what.

0:14:51.560 --> 0:14:54.560
<v Speaker 2>He keeps Argentina beef where it is and the price

0:14:54.640 --> 0:14:59.560
<v Speaker 2>is here explode. He brings in beef and the prices decrease,

0:14:59.600 --> 0:15:06.000
<v Speaker 2>and the the farmers, they heard the beef farmers are

0:15:06.680 --> 0:15:09.240
<v Speaker 2>their prices go down? And there were some of his

0:15:09.280 --> 0:15:16.160
<v Speaker 2>biggest supporters. It's a mess. And last week he said

0:15:16.680 --> 0:15:21.000
<v Speaker 2>on truth Social you wanted to prod cattle ranchers, that's

0:15:21.040 --> 0:15:25.360
<v Speaker 2>very funny to get their prices down. While crediting is

0:15:25.440 --> 0:15:29.480
<v Speaker 2>tariffs in Brazil, another top beef exporter, and that's going

0:15:29.560 --> 0:15:30.760
<v Speaker 2>to help the US cattle market.

0:15:30.800 --> 0:15:31.960
<v Speaker 3>The cattle market's a mess.

0:15:33.000 --> 0:15:35.160
<v Speaker 2>However, the ranchers, for the first time in years, have

0:15:35.240 --> 0:15:40.760
<v Speaker 2>made some money. It's a very volatile industry. And they

0:15:40.760 --> 0:15:43.920
<v Speaker 2>have been losing their shirts. Oh, they've been losing their

0:15:44.000 --> 0:15:47.480
<v Speaker 2>jackets made out of hides. And he said, the prices

0:15:47.520 --> 0:15:52.600
<v Speaker 2>are up so big that we'll have to make a determination.

0:15:53.720 --> 0:15:56.600
<v Speaker 2>But the ranchers are going to be very unhappy because

0:15:56.640 --> 0:16:01.960
<v Speaker 2>they have suffered for many years. And when you look

0:16:02.000 --> 0:16:06.840
<v Speaker 2>at the economy going south, where our dollars are buying

0:16:06.920 --> 0:16:10.200
<v Speaker 2>less and inflation is here not crazy like it was

0:16:10.280 --> 0:16:13.880
<v Speaker 2>under Biden years because Biden it hit it nine percent

0:16:14.080 --> 0:16:17.520
<v Speaker 2>at its worst. It's still high and it is climbing.

0:16:18.120 --> 0:16:20.960
<v Speaker 2>Wages are not keeping up with inflation. And if it

0:16:21.120 --> 0:16:23.480
<v Speaker 2>keeps on going like this, and there's no reason not

0:16:23.520 --> 0:16:26.320
<v Speaker 2>to think it won't, there's going to be a real

0:16:26.360 --> 0:16:27.160
<v Speaker 2>issue in terms of.

0:16:27.160 --> 0:16:29.520
<v Speaker 3>Price in the economy. Now.

0:16:30.120 --> 0:16:34.360
<v Speaker 2>The higher the cost of meat, the better off it

0:16:34.480 --> 0:16:37.880
<v Speaker 2>is for the ranchers. And the high cost of meat

0:16:38.080 --> 0:16:43.480
<v Speaker 2>is one bright spot in the struggling agricultural sector.

0:16:43.640 --> 0:16:45.040
<v Speaker 3>Also another bright spot.

0:16:45.440 --> 0:16:48.960
<v Speaker 2>It looks like China and the United States, with of

0:16:49.000 --> 0:16:53.640
<v Speaker 2>course President Trump leading negotiations, it looks like a deal

0:16:53.680 --> 0:16:57.280
<v Speaker 2>is in the works, so China begins again to buy

0:16:57.320 --> 0:17:02.400
<v Speaker 2>soybeans from them, from US farmers. I think that's the

0:17:02.440 --> 0:17:06.840
<v Speaker 2>biggest export of grain that we have in this country,

0:17:06.840 --> 0:17:10.920
<v Speaker 2>of soybeans, and China just cut it off, just said

0:17:11.280 --> 0:17:15.800
<v Speaker 2>not one soybean, not one will be bought, and it

0:17:15.840 --> 0:17:18.600
<v Speaker 2>hasn't been. So now it looks like a deal is

0:17:18.600 --> 0:17:20.120
<v Speaker 2>going to be cut, which we'll talk over the next

0:17:20.119 --> 0:17:23.119
<v Speaker 2>few days, because the President is on his way to

0:17:23.600 --> 0:17:30.160
<v Speaker 2>meet the ping Master or the ping meister Jijiping that's

0:17:30.160 --> 0:17:32.720
<v Speaker 2>what they call him. As I said yesterday, the pingster

0:17:33.800 --> 0:17:41.160
<v Speaker 2>el I do el Pingo is what they call him. Okay,

0:17:42.800 --> 0:17:44.040
<v Speaker 2>very southern California.

0:17:45.040 --> 0:17:45.600
<v Speaker 3>What is that.

0:17:46.320 --> 0:17:51.879
<v Speaker 2>It's called The Fields. It's a dating service, but it's

0:17:51.960 --> 0:17:54.600
<v Speaker 2>almost like one of those five minute dating things where

0:17:54.640 --> 0:17:56.879
<v Speaker 2>you sit down, you go that speed dating. This is

0:17:56.880 --> 0:17:58.639
<v Speaker 2>a little bit more complicated. You have a group of

0:17:58.640 --> 0:17:59.920
<v Speaker 2>people in a gathering dark.

0:18:01.080 --> 0:18:05.720
<v Speaker 3>Okay. Ali Hoffman came up with this. It's called The Fields.

0:18:06.320 --> 0:18:10.080
<v Speaker 2>She has a master's in psychology with a focus in spirituality.

0:18:10.160 --> 0:18:11.400
<v Speaker 3>For Columbia University.

0:18:11.800 --> 0:18:16.000
<v Speaker 2>I didn't know you could get a degree in spirituality

0:18:16.160 --> 0:18:17.080
<v Speaker 2>from Columbia.

0:18:17.359 --> 0:18:18.800
<v Speaker 3>What does that tell you where we've gone?

0:18:19.400 --> 0:18:23.560
<v Speaker 2>Anyways, it's actually a singles mixer, and what it does

0:18:23.800 --> 0:18:28.720
<v Speaker 2>is employ various touch based techniques in the dark to

0:18:28.760 --> 0:18:33.040
<v Speaker 2>get any participants to learn more about themselves, to chip

0:18:33.080 --> 0:18:38.040
<v Speaker 2>away at defenses, and maybe just maybe fall in love.

0:18:39.560 --> 0:18:41.720
<v Speaker 2>She says, it feels so hard out there. We're really

0:18:41.760 --> 0:18:44.960
<v Speaker 2>believing that it's our fault. It starts at the beginning

0:18:44.960 --> 0:18:46.960
<v Speaker 2>of a mixer saying that I don't believe that's true.

0:18:47.440 --> 0:18:49.920
<v Speaker 3>I think there's some macro level forces that are.

0:18:49.840 --> 0:18:53.360
<v Speaker 2>Affecting us, that are creating what we're in right now,

0:18:53.400 --> 0:18:55.040
<v Speaker 2>and I'm here to unwind.

0:18:54.600 --> 0:18:57.399
<v Speaker 3>A lot of that. So as difficult as it is

0:18:57.440 --> 0:19:00.840
<v Speaker 3>to date, and it's not easy, I mean, frankly, you

0:19:00.880 --> 0:19:04.439
<v Speaker 3>go on these dating sites and everybody lies about who

0:19:04.520 --> 0:19:05.560
<v Speaker 3>they are what they do.

0:19:05.840 --> 0:19:08.159
<v Speaker 2>If I ever went on a dating site, which I

0:19:08.200 --> 0:19:10.480
<v Speaker 2>never have, I'd be honest, you know, I'd send a

0:19:10.520 --> 0:19:13.120
<v Speaker 2>picture of who I am right now. I never walk

0:19:13.200 --> 0:19:17.320
<v Speaker 2>on beaches. I hate romantic spots. I have no desire

0:19:17.359 --> 0:19:20.119
<v Speaker 2>to be alone with you. No, I don't let I

0:19:20.200 --> 0:19:24.760
<v Speaker 2>hate trees, I wouldn't do well, but people end up

0:19:25.240 --> 0:19:28.920
<v Speaker 2>not doing well anyway. So she has come up with

0:19:29.160 --> 0:19:32.600
<v Speaker 2>the fields, and everybody sits in this dark room and

0:19:32.640 --> 0:19:36.360
<v Speaker 2>starts sort of groping. And that connection. I mean, it's

0:19:36.400 --> 0:19:41.440
<v Speaker 2>so weird. And this thing is growing like wildfire. You're

0:19:41.440 --> 0:19:44.920
<v Speaker 2>supposed to reach out and touch someone and somehow connect.

0:19:45.280 --> 0:19:47.000
<v Speaker 2>Now I can think of all kinds of things. Would

0:19:47.040 --> 0:19:50.200
<v Speaker 2>I ever do this? No chance? Because there's the connection.

0:19:50.320 --> 0:19:51.480
<v Speaker 2>What's that? I go?

0:19:52.000 --> 0:19:53.200
<v Speaker 3>I really don't want to share that.

0:19:53.359 --> 0:19:56.240
<v Speaker 2>Not very impressive, bill, Okay, I don't need that for

0:19:56.400 --> 0:19:57.320
<v Speaker 2>my self esteem.

0:19:57.560 --> 0:19:59.680
<v Speaker 4>Didn't you used to do that in a movie theater

0:19:59.720 --> 0:20:00.879
<v Speaker 4>with a popcorn bucket?

0:20:01.280 --> 0:20:04.360
<v Speaker 2>I did? Sometimes it was with a hat. The other

0:20:04.400 --> 0:20:06.800
<v Speaker 2>thing about the fields, which is so weird. This thing

0:20:06.840 --> 0:20:11.359
<v Speaker 2>has exploded across the country. It's even gone international. In

0:20:11.400 --> 0:20:15.160
<v Speaker 2>the Philippines, for example, they call it the peels and

0:20:15.359 --> 0:20:18.720
<v Speaker 2>it seems to work. I guess it seems to work.

0:20:18.760 --> 0:20:23.640
<v Speaker 2>I don't know how. What happens is well, just give

0:20:23.640 --> 0:20:24.119
<v Speaker 2>you a cost.

0:20:24.160 --> 0:20:24.840
<v Speaker 3>You're ready for this.

0:20:25.760 --> 0:20:28.879
<v Speaker 2>The level two, Level one is well. Level two is

0:20:28.880 --> 0:20:33.320
<v Speaker 2>around two hundred dollars per person. Level one, another version

0:20:34.040 --> 0:20:37.840
<v Speaker 2>doesn't involve the survey of personalized matching that only costs

0:20:37.920 --> 0:20:39.840
<v Speaker 2>ninety to one hundred dollars, although they do give a

0:20:39.880 --> 0:20:43.959
<v Speaker 2>huge discount for people who have lost one arm in

0:20:44.000 --> 0:20:48.040
<v Speaker 2>a traffic accident. Now Level two, on the other hand,

0:20:48.320 --> 0:20:52.560
<v Speaker 2>is much more connected, and what it's about is guiding

0:20:52.600 --> 0:20:55.720
<v Speaker 2>people back into real, authentic connections with each other.

0:20:56.000 --> 0:20:58.800
<v Speaker 3>Do you know why don't I think of this stuff?

0:21:00.080 --> 0:21:03.879
<v Speaker 2>Why don't I come up with some crazy ass philosophy

0:21:04.600 --> 0:21:10.840
<v Speaker 2>or exercise. There's that restaurant where it's totally dark and

0:21:10.920 --> 0:21:14.040
<v Speaker 2>all the waiters, the waiter persons are blind.

0:21:14.800 --> 0:21:16.000
<v Speaker 3>You know about that, don't you? Nil?

0:21:17.080 --> 0:21:23.239
<v Speaker 2>It is completely crazy, and it's just how do they

0:21:23.280 --> 0:21:24.640
<v Speaker 2>not spill the soup in your lap?

0:21:24.720 --> 0:21:28.959
<v Speaker 3>I have no idea. Well, it's set up. They memorize

0:21:29.000 --> 0:21:29.479
<v Speaker 3>the space.

0:21:29.560 --> 0:21:31.600
<v Speaker 1>It's not like you go in there rearrange everything.

0:21:32.119 --> 0:21:34.239
<v Speaker 3>Oh you would do that? Just do fun? You do that?

0:21:34.359 --> 0:21:37.600
<v Speaker 2>Just yeah, that's what you do for fun. All right, guys,

0:21:37.920 --> 0:21:39.560
<v Speaker 2>we're done enough of this.

0:21:41.000 --> 0:21:41.520
<v Speaker 3>Coming up.

0:21:41.880 --> 0:21:44.080
<v Speaker 2>It's gonna be Gary and Shannon and I am taking

0:21:44.119 --> 0:21:47.080
<v Speaker 2>phone calls right now starting in just a moment for

0:21:47.359 --> 0:21:51.080
<v Speaker 2>handle on the Law off the air for future broadcast.

0:21:51.160 --> 0:21:53.680
<v Speaker 2>You can call me at eight seven seven five two

0:21:53.760 --> 0:21:57.080
<v Speaker 2>zero eleven fifty, still listening to Gary Shannon through the phone.

0:21:57.440 --> 0:22:01.480
<v Speaker 2>Eight seven seven five to two zero eleven fifty. No commercials,

0:22:01.720 --> 0:22:06.000
<v Speaker 2>no breaks, no weather, no traffic, and no patience. Put

0:22:06.040 --> 0:22:08.080
<v Speaker 2>all that together and we go through them pretty quickly.

0:22:08.359 --> 0:22:13.120
<v Speaker 2>Eight seven seven five two zero eleven fifty. As we

0:22:13.160 --> 0:22:18.879
<v Speaker 2>watch the horrible Hurricane Melissa going through Jamaica right now.

0:22:19.359 --> 0:22:21.480
<v Speaker 2>Tomorrow morning, we're gonna have some really bad news I'm

0:22:21.480 --> 0:22:24.000
<v Speaker 2>sure to share with you. So the number one, let

0:22:24.040 --> 0:22:25.800
<v Speaker 2>me give you some really bad news when you ask

0:22:25.880 --> 0:22:27.439
<v Speaker 2>me a legal question. You know how I love to

0:22:27.480 --> 0:22:31.200
<v Speaker 2>do that. Eight seven seven five two zero eleven fifty.

0:22:31.600 --> 0:22:35.159
<v Speaker 2>Back again tomorrow, wake up call with Amy and Will

0:22:36.160 --> 0:22:39.360
<v Speaker 2>Neil and I jump aboard at six and then.

0:22:39.680 --> 0:22:46.359
<v Speaker 3>It all falls apart. Why not? And Cono? Yeah, yeah, Cono,

0:22:46.400 --> 0:22:48.760
<v Speaker 3>you're pointing at yourself. Yeah, and Cono's here too, will

0:22:48.800 --> 0:22:53.480
<v Speaker 3>be Yeah. Excitement level beyondbelief. This is KFI A M

0:22:53.800 --> 0:22:56.840
<v Speaker 3>six forty. You've been listening to the Bill Handle Show.

0:22:56.920 --> 0:22:59.920
<v Speaker 2>Catch My Show Monday through Friday six am to nine am,

0:23:00.320 --> 0:23:03.760
<v Speaker 2>and anytime on demand on the iHeartRadio app