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‘Tech Tuesday’ with Rich DeMuro | Beef Prices · The Bill Handel Show

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Speaker 1: You're listening to Bill Handle on demand from KFI AM
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Speaker 1: six forty.
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Speaker 2: KFI AM six forty Bill Handle here on a Tuesday morning,
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Speaker 2: October twenty eighth. Some of the stories we're looking at. Unfortunately,
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Speaker 2: Hurricane Melissa has hit them. Jamaica with a vengeance. One
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Speaker 2: hundred and seventy five mile an hour wins Category five,
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Speaker 2: devastating Jamaica. But that was assumed that was going to happen.
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Speaker 2: Here's the fun when Texas Attorney General Ken Paxton is
0:32
Speaker 2: suing the makers of Tilt All, saying that tailand All
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Speaker 2: failed to warn consumers about the risks of taking the
0:40
Speaker 2: drug while pregnant.
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Speaker 3: What risks really? I think that since.
0:49
Speaker 2: You have x percentage of women who were pregnant who
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Speaker 2: in fact unfortunately delivered kids who were were autistic, and
1:00
Speaker 2: most of them at some point in their pregnancy eight pizza,
1:03
Speaker 2: I believe that Ken Paxson must sue all the local
1:07
Speaker 2: pizza makers in the area of which women had autism,
1:11
Speaker 2: because pizza is equivalent to autism. Thailand all equivalent to autism.
1:19
Speaker 2: Texas is nuts. I mean, it doesn't stop. None of
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Speaker 2: this does all, right, tell you what does stop, unfortunately
1:27
Speaker 2: is tech Tuesday with rich Dmurrow.
1:29
Speaker 3: Wish we could do that forever because I have so
1:30
Speaker 3: many questions.
1:31
Speaker 4: Good morning, rich Oh thanks Bill. I thought you said
1:34
Speaker 4: it's going to stop. I was like, oh, wow, no, no.
1:37
Speaker 2: Yeah, Well unfortunately it's going to stop because we are limited.
1:40
Speaker 2: When we talk about these lawsuits for crazy those are
1:44
Speaker 2: not limited. The amount of time we have together is limited.
1:48
Speaker 2: That's where I was going. You know that anyone can
1:51
Speaker 2: sue for anything. I mean, when it's that kind of
1:54
Speaker 2: high level thing, that's a whole nother world. Yeah, this
1:57
Speaker 2: is the Texas Attorney General doing. It's not just some
2:02
Speaker 2: crazy ass guy out there. But anyway, let's get into
2:05
Speaker 2: our stuff because I think this actually is more fun.
2:11
Speaker 3: So let's talk about fake AI receipts. Now, what is
2:16
Speaker 3: that about?
2:18
Speaker 1: Yeah, and this is something that's been kind of going on.
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Speaker 3: For a bit.
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Speaker 4: And now there's a report from the Financial Times that
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Speaker 4: businesses are getting tricked by these AI generator receipts. And
2:29
Speaker 4: we know that if you do expense reports, Number one,
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Speaker 4: they're annoying. Number two, they require a lot number three,
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Speaker 4: A lot of it's automated because these companies have seated
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Speaker 4: control to these giant concurs of the world and things
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Speaker 4: like that, and employees are now apparently submitting ultra realistic
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Speaker 4: fake expense receipts thanks to AI.
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Speaker 1: And so one of these.
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Speaker 4: Software companies ramps As they flagged over a million dollars
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Speaker 4: in fake receipts in just ninety days. And they look real,
3:00
Speaker 4: so the AI can even make them look like they're
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Speaker 4: wrinkled paper. They can put signatures on them, and people,
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Speaker 4: you know these AI companies, they put like a water
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Speaker 4: mark in them so that you can't really submit them
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Speaker 4: because the software will figure that out.
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Speaker 1: So what do the employees do.
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Speaker 4: They just screenshot it or take a picture of it
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Speaker 4: with their phone and they get around that. So this
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Speaker 4: is a huge issue I think for companies, and it's
3:26
Speaker 4: something that I if you're an employee and you're doing this,
3:28
Speaker 4: I don't know why you would do this, because you
3:30
Speaker 4: don't want to get caught doing this would be yeah.
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Speaker 2: But I have a question, why can't anybody use existing
3:37
Speaker 2: technology and just put in a fake expense report or
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Speaker 2: are you talking about providers that putting that in there
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Speaker 2: and getting money sent to them for products they didn't
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Speaker 2: send into the company, didn't sell the company.
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Speaker 3: I don't know who is doing this.
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Speaker 4: Well, I think it's the employees that are going on
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Speaker 4: company travel and so they are they're padding. It's it's
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Speaker 4: kind of a new way of what's been going on forever,
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Speaker 4: which is patting the expense report right, except this time
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Speaker 4: it's ultra realistic. And because I think the idea here
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Speaker 4: is because AI is fact checking the expense reports before
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Speaker 4: they go for payment. Majority of the time, you know,
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Speaker 4: I think that AI just looks at the receipt says, oh,
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Speaker 4: that looks good, and it passes it through. So but
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Speaker 4: even SAP concur which you know, they scan a lot
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Speaker 4: of these receipts, one of their executives said, you can't
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Speaker 4: even trust your eyes anymore because these receipts look so good.
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Speaker 4: And so my question is, if you're an employee doing this,
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Speaker 4: you're going to get fired. So probably not a good idea.
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Speaker 3: Well, I mean, it's just another way of stealing money.
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Speaker 2: I'm assuming, right, you pitch in a fake report, which
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Speaker 2: people do all day long and until they don't. What
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Speaker 2: you're saying is AI just makes it easier for an
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Speaker 2: employee to rip off the employer bottom line.
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Speaker 4: It makes this It makes it very easy and I
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Speaker 4: remember seeing a story about this a couple of months
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Speaker 4: ago where this was just starting to happen, and this
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Speaker 4: was before the AI image generators have gotten so good now,
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Speaker 4: and I remember trying to generate one of these receipts
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Speaker 4: and I could not believe my eyes. I mean, it
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Speaker 4: was so good that it's like, oh my gosh. So
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Speaker 4: I think for maybe here's what I think happens. Maybe
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Speaker 4: employees tiptoe into this by saying, oh shoot, I forgot
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Speaker 4: to get that receipt or I need that receipt, and
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Speaker 4: so maybe they recreate it, and then all of a sudden,
5:31
Speaker 4: you know, some other people just realize that you can
5:33
Speaker 4: just make this very simple.
5:35
Speaker 2: Okay, Rich anti recognition glasses. I don't even know what
5:40
Speaker 2: that means other than I don't recognize you.
5:44
Speaker 1: Yeah.
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Speaker 4: So imagine you put these glasses on and you try
5:49
Speaker 4: to use face ID on your phone and it does
5:51
Speaker 4: not work. That's what we're talking about here. So this
5:55
Speaker 4: is a company called Zenny Optical. They've come out with
5:58
Speaker 4: over the years a bunch of glass for like blocking
6:01
Speaker 4: blue light and things like that. But now they've got
6:04
Speaker 4: this new technology called zeny id Guard, and it blocks
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Speaker 4: infrared facial recognition systems from tracking you. So I thought
6:14
Speaker 4: this was kind of cool, kind of interesting, kind of
6:16
Speaker 4: a sign of our times.
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Speaker 1: So the coding on these glasses, which is.
6:19
Speaker 4: A subtle pink so that you know, you kind of
6:22
Speaker 4: signal to other people that hey, I'm blocking this stuff,
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Speaker 4: reflects up to eighty percent of near infrared light, which
6:28
Speaker 4: is what a lot of cameras and biometric systems use
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Speaker 4: to identify faces. And you can test this out very
6:34
Speaker 4: simply by trying face idea on your phone or something
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Speaker 4: like Windows Hello on a Windows PC, and they will
6:40
Speaker 4: not work. So the idea here is that you wear
6:43
Speaker 4: these glasses, you can walk around town and facial recognition
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Speaker 4: cameras that are trying to capture your biometrics are just
6:50
Speaker 4: not going to work, so you can.
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Speaker 1: I don't know if.
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Speaker 4: You're completely anonymous when you wear these, but it's just
6:56
Speaker 4: one step in kind of protecting your identity.
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Speaker 3: No, there's entire industries that are anti.
7:04
Speaker 2: Where technology comes up with something and then instantly there
7:09
Speaker 2: now is a group, a small group or a company
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Speaker 2: that say, oh no, no, we're going to fight that,
7:16
Speaker 2: and it's it seems like it's one industry following another industry.
7:20
Speaker 3: So if you don't want your face right, if you.
7:22
Speaker 2: Don't want facial recognition, you walk around all day with,
7:25
Speaker 2: if you don't need glasses with these playing lenses with
7:28
Speaker 2: no prescription, and then you're theoretically fine, I have that right.
7:33
Speaker 3: Yes, huh. Isn't it easier just to wear like ninja
7:37
Speaker 3: ninja masks and you know what those costs? Six those
7:41
Speaker 3: cost six bucks.
7:43
Speaker 4: It's simpler than the ninja mask because this still lets
7:45
Speaker 4: people see your eyes. But it's just you know, look,
7:47
Speaker 4: I think when it comes to what you said to
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Speaker 4: your point of any industry that pops up, there's always
7:52
Speaker 4: going to be a reactionary industry. And I think that
7:56
Speaker 4: you know, is this a bit of a ploy to
7:59
Speaker 4: get people to spend money on these glasses they may
8:01
Speaker 4: or may not need. Is this really protecting your you know,
8:04
Speaker 4: your facial identification?
8:06
Speaker 3: Like who knows?
8:07
Speaker 4: But the reality is that we see this stuff happen
8:09
Speaker 4: all the time, and you know, it's one way that
8:13
Speaker 4: people can feel more secure if they feel like they're
8:16
Speaker 4: getting id'd in too many places.
8:19
Speaker 1: And I think it is interesting we've heard.
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Speaker 4: Over and over bill that they use this facial recognition
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Speaker 4: in places like concerts.
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Speaker 1: If you look and this is you know, because I
8:26
Speaker 1: love technology, So.
8:28
Speaker 4: Anywhere I go, if you look at like small print
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Speaker 4: on signs at places you go, a majority of them
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Speaker 4: are now mentioning that they are using some sort of
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Speaker 4: automated facial recognition or facial tracking at grocery stores and
8:43
Speaker 4: different retailers that you go to. So when you walk
8:45
Speaker 4: in there, yeah, they're they're figuring out like, oh, okay,
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Speaker 4: this person comes in. They may not have a name
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Speaker 4: to you just yet, but they know who you are
8:52
Speaker 4: based on the fact that you come in there three
8:53
Speaker 4: times a week. And eventually they could layer that with
8:56
Speaker 4: some sort of third party database and figure out, hey,
8:59
Speaker 4: this is Rich he's in here every Wednesday.
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Speaker 3: Hey, are we reaching the point where you know?
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Speaker 2: For example, China uses face recognition basically for every single citizen.
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Speaker 3: They know what every single one of.
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Speaker 2: Their people looks like with technology, which I don't understand
9:16
Speaker 2: because they look all the same to me. But you've
9:19
Speaker 2: got an entire country doing this. Are we heading in
9:22
Speaker 2: that direction? You think where we're all going to be
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Speaker 2: somehow surveilled.
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Speaker 4: I think it's already happening. I think that it's already happening.
9:31
Speaker 4: And I mean, look, when I travel, I go from
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Speaker 4: my car to the airport, to the security to the
9:41
Speaker 4: next country without speaking to a human being, or in
9:45
Speaker 4: most cases, without even showing any idea. I mean, when
9:48
Speaker 4: you go to LAX and you park on the parking
9:51
Speaker 4: you know structures there, it reads your license plate. If
9:54
Speaker 4: you've already prepaid, it opens the gate. You go into
9:58
Speaker 4: the LAX, you've got facial recognition, You walk up to
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Speaker 4: a camera, it snaps a picture of you. It says, okay,
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Speaker 4: you're rich Demiro. The gate opens up, you go in.
10:08
Speaker 4: When you enter the other country, you scan your passport
10:11
Speaker 4: or your face, and it just says, hey, okay, come
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Speaker 4: on in. So we're already living in a society where
10:18
Speaker 4: the government already knows who you are. They've got your biometrics,
10:21
Speaker 4: they've got your face, and you know, we've all sort
10:24
Speaker 4: of agreed to this. And it's I think the private
10:27
Speaker 4: companies that are catching up to this, they probably have
10:30
Speaker 4: more information than the government.
10:32
Speaker 1: Because we've handed it to them.
10:34
Speaker 4: So I think, you know, we're going to see a
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Speaker 4: renaissance of people saying I want to reclaim some of
10:38
Speaker 4: my privacy.
10:40
Speaker 1: I'm not sure that's going to be possible in the future.
10:42
Speaker 2: Now, I mean, how do you do that without legislation,
10:44
Speaker 2: without laws that tell these companies and these organizations you
10:48
Speaker 2: cannot do that anymore short of that.
10:51
Speaker 3: And you're right. It just occurred to me.
10:53
Speaker 2: I just came back from Europe a few weeks ago,
10:56
Speaker 2: and as I was getting off the airplane and there's
11:00
Speaker 2: a line for American citizens and people who have a
11:03
Speaker 2: foreign passports, and literally I have my passport in my pocket,
11:06
Speaker 2: and as I'm taking my passport out, uh, the TSA
11:11
Speaker 2: person or in this case, the customs and the customers
11:15
Speaker 2: people say no, no, just walk through here, just look
11:18
Speaker 2: at the camera.
11:20
Speaker 3: And I was kind of floored. And there's my picture ugly.
11:24
Speaker 2: I mean, there's is there such thing as a good
11:26
Speaker 2: looking picture on driver's licenses or any of this, any
11:29
Speaker 2: of these programs.
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Speaker 1: I mean, I don't mind mine, but they don't let
11:34
Speaker 1: you take another one. I mean, I you.
11:37
Speaker 2: Can in yours, because yeah, you can for your driver's license.
11:41
Speaker 2: You can say, well, you take another one. I'll let
11:42
Speaker 2: you look at it, just in case will.
11:45
Speaker 1: Because they wouldn't let me look. They just said that's okay, you're.
11:47
Speaker 2: Good, No, no you ask hey, can I take a look.
11:51
Speaker 2: Do you mind if I take a look, because it's
11:53
Speaker 2: a digital Tay.
11:54
Speaker 1: You're gonna come up the system.
11:56
Speaker 2: They got to get people, Yeah, I know, But then
11:59
Speaker 2: they have to take the picture because what if someone blinks,
12:02
Speaker 2: what if someone has their eyes closed?
12:03
Speaker 1: Well, they looked for that.
12:04
Speaker 4: They they all they're looking for is just to make
12:06
Speaker 4: sure that the measurements for biometrics are fine.
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Speaker 1: They're not. They don't care if you have you know,
12:11
Speaker 1: if you look good.
12:12
Speaker 3: No, what I'm talking about, No, No, I'm talking about I'm
12:13
Speaker 3: talking about. Yeah, I think we're on different pages here.
12:16
Speaker 2: I'm talking about the driver's licenses photos. That's where I
12:19
Speaker 2: was going. Okay, okay, we're going. I'm glad we missed
12:22
Speaker 2: each other. And two ships passing in the night. Rich,
12:25
Speaker 2: we'll catch you at this Saturday, eleven am to two
12:27
Speaker 2: pm right here on KFI.
12:28
Speaker 3: You have a good win, all right, thank you? You
12:31
Speaker 3: got it. A Trump story I want to share with you.
12:35
Speaker 2: When the president ran for president, he said he was
12:39
Speaker 2: going to bring down prices.
12:41
Speaker 3: That was part of his campaign.
12:43
Speaker 2: Inflation was too high, prices are way too high, and
12:47
Speaker 2: he said, I'm going to cut food prices in half
12:49
Speaker 2: by the first year. Now, that is I don't believe that.
12:52
Speaker 2: Of course, that can't be done. That's hyperbole, There's no
12:56
Speaker 2: question about it. That is everybody gets the pass saying
12:59
Speaker 2: stuff like that. However, he was serious when he said
13:02
Speaker 2: he was going to bring down prices.
13:06
Speaker 3: They have not come down.
13:08
Speaker 2: Inflation is here and where it's really showing itself is
13:13
Speaker 2: the food prices, particularly.
13:15
Speaker 3: Beef prices, and Neil and I have talked about that.
13:17
Speaker 2: Meat has gone through the roof, and even the President
13:22
Speaker 2: has expressed frustration with the high prices that we're paying
13:25
Speaker 2: for in grocery stores, particularly meat. And he's promising quote
13:29
Speaker 2: a deal to bring the price down. And what does
13:31
Speaker 2: that mean, Well, to bring something down, you boost supply.
13:36
Speaker 3: Right, the more supply, the cheaper it gets.
13:39
Speaker 2: So since the dairy herds or the beef herds are
13:43
Speaker 2: at a minimum right now, they've really shrunk over the
13:45
Speaker 2: past several years. He is purchasing eighty thousand tons of
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Speaker 2: beef from Argentina. That's quadruple the typical quota.
13:53
Speaker 3: And man has there.
13:54
Speaker 2: Been backlash from farm state Republicans and agricultural industry groups
13:59
Speaker 2: who are really on his side and feel very burnt
14:04
Speaker 2: by this.
14:05
Speaker 3: Policy.
14:06
Speaker 2: Remember the election was fueled by the concern over high costs,
14:11
Speaker 2: and guess what we have right now high costs, big costs.
14:17
Speaker 2: So this is a lose lose for the president on
14:19
Speaker 2: this one. Why because it's the best interest of the
14:23
Speaker 2: country to bring down prices. If we're now paying what
14:26
Speaker 2: I think, six dollars and thirty cents average price per
14:29
Speaker 2: pound for hamburger meat, I mean I never remember.
14:33
Speaker 3: It being that high.
14:33
Speaker 2: Have you kneel six dollars and thirty cents for hamburger meat?
14:38
Speaker 3: No? Not my recollection.
14:40
Speaker 2: No, No, it's pretty high. So he is saying, okay,
14:43
Speaker 2: we have to increase supply. That's how we get our
14:45
Speaker 2: prices down. So it's he loses, he loses, no matter what.
14:51
Speaker 2: He keeps Argentina beef where it is and the price
14:54
Speaker 2: is here explode. He brings in beef and the prices decrease,
14:59
Speaker 2: and the the farmers, they heard the beef farmers are
15:06
Speaker 2: their prices go down? And there were some of his
15:09
Speaker 2: biggest supporters. It's a mess. And last week he said
15:16
Speaker 2: on truth Social you wanted to prod cattle ranchers, that's
15:21
Speaker 2: very funny to get their prices down. While crediting is
15:25
Speaker 2: tariffs in Brazil, another top beef exporter, and that's going
15:29
Speaker 2: to help the US cattle market.
15:30
Speaker 3: The cattle market's a mess.
15:33
Speaker 2: However, the ranchers, for the first time in years, have
15:35
Speaker 2: made some money. It's a very volatile industry. And they
15:40
Speaker 2: have been losing their shirts. Oh, they've been losing their
15:44
Speaker 2: jackets made out of hides. And he said, the prices
15:47
Speaker 2: are up so big that we'll have to make a determination.
15:53
Speaker 2: But the ranchers are going to be very unhappy because
15:56
Speaker 2: they have suffered for many years. And when you look
16:02
Speaker 2: at the economy going south, where our dollars are buying
16:06
Speaker 2: less and inflation is here not crazy like it was
16:10
Speaker 2: under Biden years because Biden it hit it nine percent
16:14
Speaker 2: at its worst. It's still high and it is climbing.
16:18
Speaker 2: Wages are not keeping up with inflation. And if it
16:21
Speaker 2: keeps on going like this, and there's no reason not
16:23
Speaker 2: to think it won't, there's going to be a real
16:26
Speaker 2: issue in terms of.
16:27
Speaker 3: Price in the economy. Now.
16:30
Speaker 2: The higher the cost of meat, the better off it
16:34
Speaker 2: is for the ranchers. And the high cost of meat
16:38
Speaker 2: is one bright spot in the struggling agricultural sector.
16:43
Speaker 3: Also another bright spot.
16:45
Speaker 2: It looks like China and the United States, with of
16:49
Speaker 2: course President Trump leading negotiations, it looks like a deal
16:53
Speaker 2: is in the works, so China begins again to buy
16:57
Speaker 2: soybeans from them, from US farmers. I think that's the
17:02
Speaker 2: biggest export of grain that we have in this country,
17:06
Speaker 2: of soybeans, and China just cut it off, just said
17:11
Speaker 2: not one soybean, not one will be bought, and it
17:15
Speaker 2: hasn't been. So now it looks like a deal is
17:18
Speaker 2: going to be cut, which we'll talk over the next
17:20
Speaker 2: few days, because the President is on his way to
17:23
Speaker 2: meet the ping Master or the ping meister Jijiping that's
17:30
Speaker 2: what they call him. As I said yesterday, the pingster
17:33
Speaker 2: el I do el Pingo is what they call him. Okay,
17:42
Speaker 2: very southern California.
17:45
Speaker 3: What is that.
17:46
Speaker 2: It's called The Fields. It's a dating service, but it's
17:51
Speaker 2: almost like one of those five minute dating things where
17:54
Speaker 2: you sit down, you go that speed dating. This is
17:56
Speaker 2: a little bit more complicated. You have a group of
17:58
Speaker 2: people in a gathering dark.
18:01
Speaker 3: Okay. Ali Hoffman came up with this. It's called The Fields.
18:06
Speaker 2: She has a master's in psychology with a focus in spirituality.
18:10
Speaker 3: For Columbia University.
18:11
Speaker 2: I didn't know you could get a degree in spirituality
18:16
Speaker 2: from Columbia.
18:17
Speaker 3: What does that tell you where we've gone?
18:19
Speaker 2: Anyways, it's actually a singles mixer, and what it does
18:23
Speaker 2: is employ various touch based techniques in the dark to
18:28
Speaker 2: get any participants to learn more about themselves, to chip
18:33
Speaker 2: away at defenses, and maybe just maybe fall in love.
18:39
Speaker 2: She says, it feels so hard out there. We're really
18:41
Speaker 2: believing that it's our fault. It starts at the beginning
18:44
Speaker 2: of a mixer saying that I don't believe that's true.
18:47
Speaker 3: I think there's some macro level forces that are.
18:49
Speaker 2: Affecting us, that are creating what we're in right now,
18:53
Speaker 2: and I'm here to unwind.
18:54
Speaker 3: A lot of that. So as difficult as it is
18:57
Speaker 3: to date, and it's not easy, I mean, frankly, you
19:00
Speaker 3: go on these dating sites and everybody lies about who
19:04
Speaker 3: they are what they do.
19:05
Speaker 2: If I ever went on a dating site, which I
19:08
Speaker 2: never have, I'd be honest, you know, I'd send a
19:10
Speaker 2: picture of who I am right now. I never walk
19:13
Speaker 2: on beaches. I hate romantic spots. I have no desire
19:17
Speaker 2: to be alone with you. No, I don't let I
19:20
Speaker 2: hate trees, I wouldn't do well, but people end up
19:25
Speaker 2: not doing well anyway. So she has come up with
19:29
Speaker 2: the fields, and everybody sits in this dark room and
19:32
Speaker 2: starts sort of groping. And that connection. I mean, it's
19:36
Speaker 2: so weird. And this thing is growing like wildfire. You're
19:41
Speaker 2: supposed to reach out and touch someone and somehow connect.
19:45
Speaker 2: Now I can think of all kinds of things. Would
19:47
Speaker 2: I ever do this? No chance? Because there's the connection.
19:50
Speaker 2: What's that? I go?
19:52
Speaker 3: I really don't want to share that.
19:53
Speaker 2: Not very impressive, bill, Okay, I don't need that for
19:56
Speaker 2: my self esteem.
19:57
Speaker 4: Didn't you used to do that in a movie theater
19:59
Speaker 4: with a popcorn bucket?
20:01
Speaker 2: I did? Sometimes it was with a hat. The other
20:04
Speaker 2: thing about the fields, which is so weird. This thing
20:06
Speaker 2: has exploded across the country. It's even gone international. In
20:11
Speaker 2: the Philippines, for example, they call it the peels and
20:15
Speaker 2: it seems to work. I guess it seems to work.
20:18
Speaker 2: I don't know how. What happens is well, just give
20:23
Speaker 2: you a cost.
20:24
Speaker 3: You're ready for this.
20:25
Speaker 2: The level two, Level one is well. Level two is
20:28
Speaker 2: around two hundred dollars per person. Level one, another version
20:34
Speaker 2: doesn't involve the survey of personalized matching that only costs
20:37
Speaker 2: ninety to one hundred dollars, although they do give a
20:39
Speaker 2: huge discount for people who have lost one arm in
20:44
Speaker 2: a traffic accident. Now Level two, on the other hand,
20:48
Speaker 2: is much more connected, and what it's about is guiding
20:52
Speaker 2: people back into real, authentic connections with each other.
20:56
Speaker 3: Do you know why don't I think of this stuff?
21:00
Speaker 2: Why don't I come up with some crazy ass philosophy
21:04
Speaker 2: or exercise. There's that restaurant where it's totally dark and
21:10
Speaker 2: all the waiters, the waiter persons are blind.
21:14
Speaker 3: You know about that, don't you? Nil?
21:17
Speaker 2: It is completely crazy, and it's just how do they
21:23
Speaker 2: not spill the soup in your lap?
21:24
Speaker 3: I have no idea. Well, it's set up. They memorize
21:29
Speaker 3: the space.
21:29
Speaker 1: It's not like you go in there rearrange everything.
21:32
Speaker 3: Oh you would do that? Just do fun? You do that?
21:34
Speaker 2: Just yeah, that's what you do for fun. All right, guys,
21:37
Speaker 2: we're done enough of this.
21:41
Speaker 3: Coming up.
21:41
Speaker 2: It's gonna be Gary and Shannon and I am taking
21:44
Speaker 2: phone calls right now starting in just a moment for
21:47
Speaker 2: handle on the Law off the air for future broadcast.
21:51
Speaker 2: You can call me at eight seven seven five two
21:53
Speaker 2: zero eleven fifty, still listening to Gary Shannon through the phone.
21:57
Speaker 2: Eight seven seven five to two zero eleven fifty. No commercials,
22:01
Speaker 2: no breaks, no weather, no traffic, and no patience. Put
22:06
Speaker 2: all that together and we go through them pretty quickly.
22:08
Speaker 2: Eight seven seven five two zero eleven fifty. As we
22:13
Speaker 2: watch the horrible Hurricane Melissa going through Jamaica right now.
22:19
Speaker 2: Tomorrow morning, we're gonna have some really bad news I'm
22:21
Speaker 2: sure to share with you. So the number one, let
22:24
Speaker 2: me give you some really bad news when you ask
22:25
Speaker 2: me a legal question. You know how I love to
22:27
Speaker 2: do that. Eight seven seven five two zero eleven fifty.
22:31
Speaker 2: Back again tomorrow, wake up call with Amy and Will
22:36
Speaker 2: Neil and I jump aboard at six and then.
22:39
Speaker 3: It all falls apart. Why not? And Cono? Yeah, yeah, Cono,
22:46
Speaker 3: you're pointing at yourself. Yeah, and Cono's here too, will
22:48
Speaker 3: be Yeah. Excitement level beyondbelief. This is KFI A M
22:53
Speaker 3: six forty. You've been listening to the Bill Handle Show.
22:56
Speaker 2: Catch My Show Monday through Friday six am to nine am,
23:00
Speaker 2: and anytime on demand on the iHeartRadio app