Latest / Curtis Sliwa & Larry Mendte In The Morning / Hour 1: Waffle House Lore

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Hour 1: Waffle House Lore · Curtis Sliwa & Larry Mendte In The Morning

0:00
Speaker 1: Well, what you brought to everybody's attention, Larry weeks ago,
0:05
Speaker 1: all the town hall meetings taking place in New Jersey
0:09
Speaker 1: in opposition to the data filing centers, the artificial intelligence
0:14
Speaker 1: statifiling centers that were being built without any knowledge of
0:17
Speaker 1: the local community. It has skyrocketed now to become maybe
0:23
Speaker 1: the October surprise.
0:25
Speaker 2: In these midterm elections.
0:26
Speaker 1: Whereas it was not considered an issue that might affect
0:31
Speaker 1: congressional race outcomes or even US Senate race outcomes. Oh boy,
0:36
Speaker 1: has that changed, And it really changed dramatically when the
0:42
Speaker 1: number one cheer leader and supporter of the effort, nobody
0:46
Speaker 1: was bigger in rallying up the companies building the artificial
0:51
Speaker 1: intelligence STATI filing centers and Greg Abbott the governor of Texas,
0:56
Speaker 1: and all of a sudden, Boy, did he do a
0:59
Speaker 1: pivot and shift that has caused this to become a
1:03
Speaker 1: huge issue.
1:05
Speaker 3: Larry, Yeah, he said that he was promised certain things
1:09
Speaker 3: and those promises were weren't kept, and because of that,
1:14
Speaker 3: he's issuing not a moratorium like the Kathy Hokeel did
1:18
Speaker 3: where she's going to study it, but a moratorium until
1:21
Speaker 3: they get in line. So if a data center is
1:25
Speaker 3: already in line and living up to the standards that
1:28
Speaker 3: Texas has set, then that's fine. Other than that, you
1:32
Speaker 3: have to shut down until you get up to those standards.
1:35
Speaker 4: I am now coming in as governor saying, listen, if
1:37
Speaker 4: you're a data center and you want to operate on Texas,
1:40
Speaker 4: you have to first get the approval of those in
1:43
Speaker 4: local communities. And that's why I set that standard. No
1:47
Speaker 4: data centers disturbing local communities in Texas.
1:50
Speaker 3: Right, and they have to come up with their own
1:52
Speaker 3: power supply. There's many of the standards he's talking about.
1:55
Speaker 4: They had not been working in collaboration with the state,
1:58
Speaker 4: They had not been working in collaboration with local governments,
2:00
Speaker 4: and so they basically dug their own grave for the
2:03
Speaker 4: problem that's been calls for them, and that's why they
2:05
Speaker 4: got the backlash they deserve. And that's why these new
2:08
Speaker 4: standards are in place to make sure they're not going
2:10
Speaker 4: to be able to operate until they come at a
2:13
Speaker 4: compliance with the standards that I have set, just.
2:15
Speaker 3: Like in New Jersey, except Mikey Cheryl didn't do this.
2:19
Speaker 3: Just like in New Jersey. What Governor Abbott is saying
2:24
Speaker 3: right now, I hear you I hear the problems, that's
2:27
Speaker 3: not what I was told. So we're going to move
2:30
Speaker 3: in and if there is a problem with any of
2:33
Speaker 3: these data centers, we're going to shut them down. If
2:36
Speaker 3: they aren't paying for their own electricity, if they aren't
2:39
Speaker 3: supplying their own water and then giving the excess water
2:43
Speaker 3: back to the community, if they are in the middle
2:46
Speaker 3: of a community and too loud in the community doesn't
2:48
Speaker 3: want them any there there anymore, then we're going to
2:51
Speaker 3: move them out. So it's a pretty bold thing that
2:53
Speaker 3: he's doing.
2:53
Speaker 1: Yeah, I mean it affects races in Maine, Michigan, Ohio,
2:59
Speaker 1: around the country where the state of filing centers are
3:03
Speaker 1: growing fast and furiously for artificial intelligence. And Republicans I
3:09
Speaker 1: think kind of understood that the far left of the
3:13
Speaker 1: Democratic Party, the Progressive seized the issue. Initially, Bernie Sanders
3:17
Speaker 1: and AOC, they were campaigning around the country against it,
3:20
Speaker 1: and then they saw that a lot of people were
3:22
Speaker 1: attending these town hall meetings who were not necessarily politically affiliated,
3:27
Speaker 1: not at all hardcore ideologues.
3:29
Speaker 2: Not at all.
3:30
Speaker 3: They just when they want their community to be affordable,
3:34
Speaker 3: number one, They wanted to be affordable, and that they
3:37
Speaker 3: were able to sleep at night without the humming.
3:39
Speaker 1: That's right, and that was probably the store that broke
3:41
Speaker 1: the camel's back. When the spokespeople for the industry, starting
3:46
Speaker 1: with Kevin O'Leary, you know who was going to build
3:49
Speaker 1: at that time the biggest artificial intelligence STATI filing center
3:53
Speaker 1: in the world. That would have been in Utah. That's
3:55
Speaker 1: been scaled back enormously. When he started saying, oh, no,
3:59
Speaker 1: this was red Chinese propaganda against it. What are you
4:02
Speaker 1: talking about?
4:02
Speaker 2: Noise?
4:03
Speaker 1: No, no, no, there's no noise. And all of some
4:07
Speaker 1: people were posting on their own like they're sitting on
4:09
Speaker 1: their porch, said hey, you know, I'm not a hardcore ideologue,
4:13
Speaker 1: but what do you make of this noise that's coming
4:15
Speaker 1: from that data filing center that's just a few blocks away.
4:19
Speaker 1: And what the untold story, Larry, is that a lot
4:22
Speaker 1: of these companies that have billions of dollars to invest
4:25
Speaker 1: now in the race to be number one and two
4:28
Speaker 1: in artificial intelligence in the United States or to provide
4:31
Speaker 1: the artificial intelligence from the data filing centers, is that
4:35
Speaker 1: residential property is cheaper than industrial property. So they started
4:40
Speaker 1: gobbling up all the residential property under LLC's people had
4:44
Speaker 1: no idea what was happening until all of a sudden,
4:47
Speaker 1: construction crews coming in, all of a sudden, concrete being laid.
4:51
Speaker 1: What's this? Is it a school? Is it a supermarket? Now,
4:56
Speaker 1: all these data.
4:56
Speaker 3: Centers aren't going to exist, They're not going to going
5:00
Speaker 3: to be a bubble, and many of the data centers
5:02
Speaker 3: aren't going to be needed right now. There is a
5:05
Speaker 3: race to be first, and there's a race to get
5:07
Speaker 3: everything built before the bubble. So they don't have time
5:10
Speaker 3: for construction. They don't have time to change something in
5:14
Speaker 3: an industrial park or to put a new building in
5:16
Speaker 3: an industrial park, which are usually jammed with other companies.
5:20
Speaker 3: So they look for buildings and they look for areas
5:25
Speaker 3: like Mirkover in Kenilworth. They look for buildings that they
5:28
Speaker 3: can move into immediately because in a year they're going
5:33
Speaker 3: to be weeding out some of these data centers because
5:36
Speaker 3: they're not going to need them anymore. We've been talking
5:38
Speaker 3: about this now for a while, and now it seems
5:42
Speaker 3: like everybody else is catching up on it, and it's
5:44
Speaker 3: something that you really wanted to talk about yesterday, and
5:48
Speaker 3: so we're going to play many We have so many
5:51
Speaker 3: talkbacks on AI. But let's go through them.
5:54
Speaker 5: Hey, Larry and Curtis, the whole AI data center thing, Yeah,
5:58
Speaker 5: that's Chinese problem. I think people on the inside truly
6:03
Speaker 5: know that. However, the media is driving the message. It's
6:07
Speaker 5: the same stupid messaging that drove the nimby crowd back
6:12
Speaker 5: in the day and put us so far behind on
6:14
Speaker 5: nuclear technology. Look, industrial centers run factories that we don't hear.
6:21
Speaker 5: The same can be done with AI.
6:24
Speaker 3: I'm not going to disagree that there isn't Chinese propaganda
6:29
Speaker 3: in everything. They affect our elections, they get on social media.
6:33
Speaker 3: I agree with you. Yeah, that's possible. That ain't what
6:36
Speaker 3: it's happening right now, that them is a ground swell.
6:40
Speaker 1: The messengers who promoted this couldn't have been more arrogant,
6:44
Speaker 1: couldn't have been more full of themselves. Kevin O'Leary of
6:47
Speaker 1: Shark Tank, Steve Moore on the radio, and most recently Zuckerberg,
6:51
Speaker 1: who's on trial for promoting perversion to meta. You couldn't
6:55
Speaker 1: have war spokespersons, and that's really hurt their effort.
6:58
Speaker 3: Yeah, and if you if you listen to these town
7:01
Speaker 3: hall meetings, if you listen to the reports that reporters
7:04
Speaker 3: are doing. Local reporters are going out in Little Rock
7:08
Speaker 3: and in Albuquerque and in San Antonio and they're interviewing people.
7:12
Speaker 3: This is people in the communities that are upset. This
7:16
Speaker 3: is a ground swell. It's not coming from some mothership
7:20
Speaker 3: source and going down to people. It's coming from the
7:23
Speaker 3: ground up. And the Republicans are starting to realize that.
7:26
Speaker 6: You know, you guys are trying to get this ground
7:29
Speaker 6: swell against data centers. But nobody's willing to give up
7:34
Speaker 6: all the things that we require from data centers, our iPhones,
7:38
Speaker 6: our Internet, our Google, our AI, our GPS. You know,
7:45
Speaker 6: nobody wants to give that up. But you're trying to
7:48
Speaker 6: get this ground swell against data centers. Where the heck
7:51
Speaker 6: are we going to put them.
7:53
Speaker 3: We're not trying to start a ground swell. We're reacting
7:55
Speaker 3: to the ground swell. The ground swell was already happening
7:59
Speaker 3: if you were paying attention. It happened in city council
8:02
Speaker 3: meetings and town hall meetings all across the country. And listen,
8:06
Speaker 3: are you having any problems right now with any of
8:08
Speaker 3: the data you're getting? No, we're talking about AI. We're
8:13
Speaker 3: talking about an advancement, and Curtis and I think are
8:16
Speaker 3: on the same page. We're for all four of that. Yeah,
8:18
Speaker 3: we're all for AI. Why put all of these data
8:22
Speaker 3: centers right smack in the right smack dab in the
8:26
Speaker 3: middle of a community in next to houses, that's all.
8:28
Speaker 1: In fact, fifty percent of you as adults use AI chatbots.
8:32
Speaker 1: Forty eight percent have conversations with AI chatbots not about.
8:37
Speaker 2: Work when they're at work.
8:39
Speaker 3: Yeah, because they need a friend, I know.
8:41
Speaker 1: And it's that's not like Chris, you know, the Quiet
8:44
Speaker 1: Storm on loan from Mark Simone, who's really come into
8:48
Speaker 1: his own here, out of his shell. He is like you,
8:50
Speaker 1: probably your whole generation would much prefer to be dealing
8:54
Speaker 1: with a chatbot.
8:55
Speaker 3: The alleged girlfriend is that AI.
8:58
Speaker 2: She's thinness.
9:01
Speaker 1: Guys are terrible, but a lot of gen z is
9:05
Speaker 1: much prefer having a relationship with air chat box in
9:09
Speaker 1: the dorm room or wherever they're sharing you know, space
9:13
Speaker 1: with And they would with another human being.
9:15
Speaker 7: Uh, that is not me or the people I know,
9:17
Speaker 7: but I do believe it.
9:20
Speaker 2: Jatchy is she?
9:21
Speaker 3: Oh no, we got him.
9:23
Speaker 1: There's been empirical information right now from the Quiet Stop
9:27
Speaker 1: Chris here's another.
9:29
Speaker 3: AI talked back.
9:31
Speaker 1: I listen to you, listening to your commentary in the morning,
9:34
Speaker 1: but AI is going to turn you into fake news.
9:37
Speaker 2: Give it up.
9:38
Speaker 3: I don't understand how I'm supportive of AI. I don't
9:42
Speaker 3: get it. I don't understand and and I don't know
9:45
Speaker 3: why this message is in getting through because I've said
9:47
Speaker 3: it almost every morning. I'm not against AI at all,
9:51
Speaker 3: but this idea that if you're against data centers being
9:55
Speaker 3: built next to a home being built right in the
9:57
Speaker 3: middle of a community is being again, that's a losing proposition. Listen,
10:03
Speaker 3: seventy five percent of the people are against these data
10:07
Speaker 3: centers being built in communities. If the Republicans don't wise up,
10:12
Speaker 3: they're gonna end up losing the midterms and losing them badly.
10:16
Speaker 3: This is becoming a huge issue. If anything, I'm just
10:20
Speaker 3: shooting off a warning gun. I'm raising a red flag. Hey,
10:25
Speaker 3: you better get on board with this or you're going
10:28
Speaker 3: to lose power.
10:29
Speaker 1: You're Paul Revere here. You've alerted everyone for an advance.
10:34
Speaker 1: This was organic. People don't cheem to under sense this
10:36
Speaker 1: is not political. These are people having a town hall
10:38
Speaker 1: meeting saying what what's that noise. What who's gonna pay
10:42
Speaker 1: for these electricity rates? They're already too high. And where
10:46
Speaker 1: they're gonna get the water from. We're like in drought
10:48
Speaker 1: conditions now we barely have enough water.
10:51
Speaker 2: Where they gonna find the water from?
10:52
Speaker 1: Simple questions that never got answered because the people promoting
10:57
Speaker 1: AI datifiing centers.
11:00
Speaker 2: You'll have a need to know. We'll let you know
11:02
Speaker 2: when you need to know. No, no, no, we need
11:03
Speaker 2: to know now.
11:04
Speaker 3: Yeah. Well, and now the people are rising up, So
11:07
Speaker 3: that's where it's coming from. It's not coming from the
11:10
Speaker 3: down up, It's not coming from China, It's not coming
11:12
Speaker 3: from us. So I'm not going to feel silly. This
11:16
Speaker 3: is us paying attention to town halls and council meetings
11:20
Speaker 3: across the country and then reacting to it, and by
11:24
Speaker 3: the way, investigating it before we talked, which I would
11:29
Speaker 3: think that some of the people on talkback should do.
11:31
Speaker 3: Just go ahead. It's right there on YouTube. You can
11:34
Speaker 3: see it for yourself. Local news all across the country.
11:39
Speaker 3: Oh man, are you guys gonna be jealous? Guess where
11:42
Speaker 3: I was at?
11:42
Speaker 2: What you in North Carolina? A waffle house? You're kidding?
11:46
Speaker 1: You could have also gone to a red Lobster, while
11:49
Speaker 1: you were added once again has all the shrimp you
11:51
Speaker 1: can eat it, It said pace.
11:53
Speaker 3: Waffle house doesn't hold a candle. Oh no, the other
11:57
Speaker 3: way around. Red lobster doesn't hold a candle. The waffelt.
12:02
Speaker 3: We'll talk about the experience when I come back in
12:04
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12:07
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12:17
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12:20
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12:23
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12:30
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12:44
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13:56
Speaker 3: we talked about yesterday, my son goes to Elon University.
14:00
Speaker 3: Drove him back to school because he had so much stuff.
14:03
Speaker 3: It was just cheaper to drive down than try to
14:05
Speaker 3: ship some of this stuff down. And while I was
14:09
Speaker 3: in North Carolina, I was in Burlington, North Carolina. I
14:14
Speaker 3: went to one of their many waffle houses. And we
14:18
Speaker 3: talk about waffle house in the show all the time.
14:20
Speaker 3: I think everybody loves it. Everybody wishes. There was a
14:23
Speaker 3: waffle house in the area, the closest waffle houses in Allentown, Pennsylvania,
14:28
Speaker 3: and Curtis and I said, we're gonna take a trip
14:30
Speaker 3: there one day. But it was heaven. It was allowed heaven,
14:36
Speaker 3: but it was heaven. So you go into the waffle
14:39
Speaker 3: house and there's people waiting right and there's no line.
14:44
Speaker 3: Nobody takes your name. Everybody just knows who's next. And
14:48
Speaker 3: there were about seven groups of people waiting, and it
14:53
Speaker 3: was amazing to me that everybody just knew that that
14:56
Speaker 3: person's going, this person's going, this person's going. And then
14:59
Speaker 3: there's more people that came in and they knew that
15:02
Speaker 3: we were ahead of them. I thought it was incredible
15:05
Speaker 3: the honor system that was going on. So our seat
15:08
Speaker 3: we had to sit at the counter. Oh, that's the
15:10
Speaker 3: best place to ship.
15:11
Speaker 1: Oh.
15:12
Speaker 3: It was tremendous because I got to watch it all
15:14
Speaker 3: in action. I was right in front of the I
15:16
Speaker 3: got who's right in front of the grills. You know,
15:18
Speaker 3: they don't have computers, they don't have they don't give
15:22
Speaker 3: the cooks sheets, you know, a little attack. They stand there,
15:27
Speaker 3: every single one of the waitresses and they were all waitresses,
15:32
Speaker 3: walks over, stands in a spot and yells out their
15:36
Speaker 3: order this day, Well we got we got five eggs,
15:40
Speaker 3: one over easy. We've got pancakes. No, they don't start pancakes.
15:46
Speaker 3: We have waffles, we have you know, home fries. All
15:49
Speaker 3: of this is being told how many for each rich? Definitely,
15:53
Speaker 3: and they definitely have gritch Yeah, well they have just
15:55
Speaker 3: they just scooped the grits out. But the people that
15:57
Speaker 3: are so you have one person making all the eggs, right,
16:01
Speaker 3: and the home fries they're sitting there and as she's
16:04
Speaker 3: saying it, they're throwing it up there they're or they're
16:07
Speaker 3: cracking the eggs. And then over next to that person
16:11
Speaker 3: is the waffles guy, and the waffle person is now
16:13
Speaker 3: making all of the waffles. Then you have the bacon guy,
16:16
Speaker 3: and the guy's throwing bacon depending on what she says.
16:20
Speaker 3: And it's up and ready in like two minutes, everything
16:25
Speaker 3: right there. Served, You get served, and man, do they
16:29
Speaker 3: have a turnover? Well, they get you in and they
16:31
Speaker 3: get you out.
16:31
Speaker 5: I'm amazing.
16:32
Speaker 1: I'm a little disappointed in you, Larry, because we collectively
16:36
Speaker 1: were trying to come to the aid of rockstar Riley,
16:40
Speaker 1: who had done that great rap song that went viral
16:44
Speaker 1: from his job position in a waffle house in Atlanta,
16:47
Speaker 1: which is the epicenter of all waffle houses. They have
16:50
Speaker 1: their actually museum there that I've been to on one occasion.
16:55
Speaker 1: Remember he had that rap song Waffy Options, which was
16:58
Speaker 1: a homage to his work at waffle houses.
17:01
Speaker 2: They fired him. They fired him and then didn't hire
17:04
Speaker 2: him back.
17:05
Speaker 3: That's amazing, I know. And look at the Jonas brothers
17:08
Speaker 3: at a waffle house song and they made millions and
17:11
Speaker 3: got invited to waffle house. This guy gets thrown out
17:13
Speaker 3: for doing the exact same thing exactly.
17:16
Speaker 1: I mean, what what employees doing homage to the place
17:20
Speaker 1: that employs you in which they're always busy. Remember they're
17:23
Speaker 1: always busy in it. There's no slacking around, you know.
17:26
Speaker 1: If you got time to lean, you got time to clean.
17:28
Speaker 1: Although often times I've shound waffle houses, I'm not the
17:31
Speaker 1: cleanest place in the world, I will tell you.
17:33
Speaker 3: That it was clean.
17:35
Speaker 2: They are.
17:35
Speaker 3: They every time somebody moved, there was somebody there washing off.
17:39
Speaker 3: It was immediate.
17:40
Speaker 2: It was immediate at four in the morning. It ain't
17:43
Speaker 2: like that. I can't assure you at four in the
17:47
Speaker 2: morning it ain't like that.
17:48
Speaker 3: Don't say anything negative all about waffle houses. It is
17:52
Speaker 3: the It is the mecca, the mecca of breakfast in
17:56
Speaker 3: this country. All right, let's get some talkbacks.
17:59
Speaker 2: Guys.
17:59
Speaker 8: You may remember of years ago they used to say,
18:02
Speaker 8: you can't, you shouldn't sleep with your cell phone next
18:05
Speaker 8: to the night stand in your bed. Has any similar
18:08
Speaker 8: studies been done about these data centers, you know, causing
18:14
Speaker 8: illness or cancer and people that live too close to them.
18:18
Speaker 8: You know, they used to have these same worries about
18:22
Speaker 8: cell towers and anything that produces a type of radiation
18:26
Speaker 8: like that.
18:27
Speaker 2: What do you know?
18:29
Speaker 3: There has been some reports of some problems. It has
18:33
Speaker 3: not been studied yet. Some people report mental health issues,
18:37
Speaker 3: other report physical conditions. The biggest problem, however, right now
18:42
Speaker 3: that can be proven is sleep deprivation because of the.
18:45
Speaker 1: Sound, constant constant. By the way, he's just given an
18:52
Speaker 1: idea to a lot of liars for hire, you know,
18:56
Speaker 1: chase ambulances. What a great one to eight hundred lawyers campaign,
19:00
Speaker 1: you miss so man, that's right, there's.
19:03
Speaker 3: A lot of money at the end of that lawsuit. Now,
19:05
Speaker 3: let's get the Daria Alvannger with the six thirty News
19:08
Speaker 3: Darius Morning guys.
19:09
Speaker 9: Chance for an afternoon shower. Otherwise it's going to be
19:12
Speaker 9: dry and pleasant again today with a high of seventy
19:14
Speaker 9: nine degrees.
19:14
Speaker 10: Well.
19:15
Speaker 9: A new law will take effect today in New York.
19:17
Speaker 9: It's designed to protect against the overreach of ICE officers.
19:20
Speaker 9: It ends with the arrangements of almost three hundred local
19:23
Speaker 9: law enforcement agencies and the agency. In the meantime, the
19:27
Speaker 9: wife of a US Army sergeant will be deported now
19:30
Speaker 9: that the White House is rolled back immigration protections for
19:33
Speaker 9: military families.
19:34
Speaker 11: Sergeant Hater Juatas says ice officer has detained his wife,
19:37
Speaker 11: Christy outside of Walmart as their daughter watched from her
19:41
Speaker 11: car seat.
19:41
Speaker 3: They claimed the ingoing for like the worst of the world,
19:44
Speaker 3: the worst criminals in this country. My wife doesn't have
19:46
Speaker 3: a primin record.
19:48
Speaker 7: She has never had any any kind of problems with
19:51
Speaker 7: the law, not even the traffic picket.
19:53
Speaker 11: The Homeland Security Department says his wife illegally entered the
19:56
Speaker 11: United States in twenty sixteen from Honduras and was rem
20:00
Speaker 11: move from the United States in accordance with our laws.
20:02
Speaker 9: ABC's Karen Waugh. Police are looking for a suspect and
20:06
Speaker 9: an armed robbery at a Bronx Deli. They say he
20:09
Speaker 9: or she shot a customer before taking off with cash
20:12
Speaker 9: from the register at the one forty nine Grilla and
20:14
Speaker 9: Dellian Melrose just after midnight. The shooting victim is expected
20:18
Speaker 9: to survive, and the Bayone Bees are fighting to stay
20:22
Speaker 9: alive in the Little League World Series. They are also
20:24
Speaker 9: battling to stop the sale of the knockoffs of some
20:27
Speaker 9: pretty popular merchandise.
20:29
Speaker 10: Fans have been buying Bayonne Versus Everybody t shirts, and
20:32
Speaker 10: despite some listings on the internet, the team does not
20:35
Speaker 10: have an online store.
20:37
Speaker 5: I'm disappointed that people are out there trying to take
20:39
Speaker 5: advantage of the kids.
20:40
Speaker 10: Treasurer Mike Conway says the fakes take away from funds
20:43
Speaker 10: that could be going towards the team. Anyone interested in
20:46
Speaker 10: buying a legitimate shirt can follow the team's Facebook page
20:49
Speaker 10: for the next in person sale at Marty reid Field.
20:52
Speaker 10: I'm Lizzie radabolli WR News.
20:54
Speaker 9: The Bees will take on Hamilton, Ohio at seven tonight.
20:57
Speaker 9: You can watch that game on ESPN. All of the
21:00
Speaker 9: locals had the night off. Next new seven o'clock Bulletins
21:03
Speaker 9: at once. I'm Daria Albinger on sevent ten wor the.
21:08
Speaker 1: The Mayor's back from vacation. He's being sued by bodega owners. Meantime,
21:14
Speaker 1: he's suing the city council battling lawsuits up next. But
21:19
Speaker 1: let me talk about a problem that a lot of
21:22
Speaker 1: people are having, no matter what their party affiliation, or
21:25
Speaker 1: even if they're independent and autonomous. Remember when police searched
21:29
Speaker 1: the car the man who assassinated a Minnesota lawmaker and
21:32
Speaker 1: her husband in their own home.
21:34
Speaker 2: What did they find. They found a notebook inside a
21:37
Speaker 2: handwritten list of eleven websites, but not places to buy weapons.
21:43
Speaker 1: These were websites. Have data brokers who legally are able
21:47
Speaker 1: to bundle up all your information and for a couple
21:52
Speaker 1: of bucks they'll sell it to anybody. Type your name
21:55
Speaker 1: into one right now. There you are, your address, your phone,
21:59
Speaker 1: your family's names, a photo of your front door. Anyone
22:02
Speaker 1: can look it up in seconds and you'll never know
22:05
Speaker 1: who did. That's why I using cognate. Get a pad
22:08
Speaker 1: and a pen. You're gonna want to write it down
22:10
Speaker 1: and share it with family and friends who are being
22:12
Speaker 1: jammed up the same way. It forces data brokers and
22:16
Speaker 1: people's search sites to delete you and keeps checking up
22:19
Speaker 1: because deleted data creeps back and cognate has scrubbed my
22:23
Speaker 1: info from over four hundred sites.
22:26
Speaker 2: Well, I did exactly nothing.
22:27
Speaker 1: You lock your doors every night tonight, lock down your address,
22:31
Speaker 1: go to incogniti dot com slash curtis.
22:34
Speaker 2: For sixty percent off.
22:35
Speaker 1: And again, let your friends and relatives know that's I
22:39
Speaker 1: n ceog ni dot com slash curtis because the next
22:43
Speaker 1: time a stranger searches your name, let them find bupkus.
22:50
Speaker 3: Boy everything zureing mom. Donnie ran On, sounded great, wow.
22:55
Speaker 3: I mean the homeless have to be treated with respect.
22:58
Speaker 3: They get to make their own choice. We're not gonna
23:01
Speaker 3: round them up and force them into shelters during a
23:04
Speaker 3: snowstorm and twenty of them died. And we have the
23:07
Speaker 3: Pieta tear tax, which was going after the rich that
23:10
Speaker 3: owned second homes, and then the notices went out and
23:13
Speaker 3: it went up on the internet and a lot of
23:16
Speaker 3: people were getting hit with the tacks that didn't qualify,
23:19
Speaker 3: and of course the courts had to put a stop
23:22
Speaker 3: to that. And then we have the free buses that
23:25
Speaker 3: have turned into a free bus maybe. And now we
23:29
Speaker 3: have the government run grocery stores. Right, We're gonna have
23:35
Speaker 3: five of them, one in each barrow. And it's gonna
23:37
Speaker 3: cost a fortune for the city. It doesn't matter. He's
23:41
Speaker 3: gonna come through with his promise because he has to
23:44
Speaker 3: help the little guy. He has to make sure that
23:48
Speaker 3: the little guys can rise up in this city. It's
23:51
Speaker 3: not just a city for the rich, except he's hurting
23:53
Speaker 3: the little guy, a little guy like Elvis Arius, who
23:57
Speaker 3: owns an American Deli mini market in East Harlem. It's
24:02
Speaker 3: just the block away from the law Marquita, a city
24:07
Speaker 3: run grocery store that is supposed to open next year
24:11
Speaker 3: that they've been railing about and raving about, saying, look,
24:14
Speaker 3: we've come through with that promise. Only Elvis things. He
24:18
Speaker 3: might have to go out of business.
24:20
Speaker 12: They see to pay.
24:21
Speaker 2: I'm paying for him, I bet tax.
24:24
Speaker 12: So they're not good, you know, you know, give me
24:27
Speaker 12: the lice and for that for the tobaco, and licen
24:29
Speaker 12: for the tobacco, and I gotta be ray, I gotta bread,
24:35
Speaker 12: and sure I got a bet ta tats tass. Never
24:38
Speaker 12: never be quite as expanse.
24:41
Speaker 3: Say, yeah, all those expenses add up. He's got to
24:44
Speaker 3: pay a tax. He's got to compete now with a
24:46
Speaker 3: with a store down the street that's going to offer
24:49
Speaker 3: offer thirty percent less than he is. He doesn't have
24:53
Speaker 3: a license for tobacco, so he sees this as a
24:56
Speaker 3: death Now. That's why that the group is getting together
25:00
Speaker 3: many of these to sue the city and make sure
25:05
Speaker 3: that this doesn't happen, including Ken Rolden, who runs a
25:10
Speaker 3: coalition of multicultural businesses.
25:13
Speaker 1: He says he's a champion of the disenfranchise in the
25:17
Speaker 1: working class New Yorkers, of which this strategy demonstrates that
25:20
Speaker 1: he's not right.
25:24
Speaker 3: Right, there's a lot of people that are going to
25:27
Speaker 3: now be disenfranchised because of this. So once again you
25:32
Speaker 3: are putting unfair competition that's going to put the little
25:36
Speaker 3: man out of business across five different burrows. When you're
25:41
Speaker 3: supposed to be fighting for the little man. These unintended
25:45
Speaker 3: consequences keep piling up. And that's because everything he ran
25:51
Speaker 3: on was pie in the sky. He's a great talker,
25:56
Speaker 3: he's a tremendous speaker. He's like the guy they came
26:01
Speaker 3: in and said, Paul was the biggest problem in a city.
26:05
Speaker 3: Remember that in the musical what was that musical where
26:09
Speaker 3: the guy came in and said, you got trouble right
26:11
Speaker 3: here in River City. Oh that's music Man, music Man. Yeah,
26:15
Speaker 3: it's the same thing. Is that guy coming in? That
26:17
Speaker 3: was Mom Donnie coming in and saying, you got trouble
26:20
Speaker 3: right here in New York City, and I'm going to
26:21
Speaker 3: fix it. And of course he doesn't have the solution
26:24
Speaker 3: for any of it, failure after failure after failure. And
26:27
Speaker 3: if we had a media that was up to the task,
26:32
Speaker 3: they would be calling this out every single day, and
26:36
Speaker 3: yet they seem Curtis to be an adoration like everybody
26:39
Speaker 3: else in the CID.
26:40
Speaker 1: Well, one thing you leave out is that these same
26:43
Speaker 1: bodega owners endorsed Doorhan Mandami. They did not endorse Cuomo.
26:48
Speaker 1: They weren't going to endorse me. So imagine they endorsed
26:52
Speaker 1: Doorhan Mandami knowing he was going to open up a
26:57
Speaker 1: city subsidized supermarket system. So you say to yourself, why
27:02
Speaker 1: did you endorse him? You don't get any answers because
27:06
Speaker 1: obviously they were deals that were made in the back
27:08
Speaker 1: rooms between the leadership of the Bodego organization and the
27:12
Speaker 1: supporters of Johan Mandammi. So there'll be competing lawsuits here.
27:17
Speaker 1: A number of people will sue the city. The city
27:19
Speaker 1: has the corporation Council that we paid for all those lawyers,
27:23
Speaker 1: and they'll battle it out in court. We'll see who
27:26
Speaker 1: ends up winning. But now the mayor is not a
27:28
Speaker 1: pivot in shift. He had promised that he would give
27:31
Speaker 1: pay increases to power professional teachers. That's why he got
27:35
Speaker 1: the UFT endorsement in a CUOMO from Michael molgu He said, yeah,
27:39
Speaker 1: I'm going to give you raises. Then he realized that
27:43
Speaker 1: I can't give him raises. So what did the city
27:46
Speaker 1: council do? Who always likes to play Santa Claus Stuart's
27:49
Speaker 1: not just the mayor they gave. They passed the bill
27:52
Speaker 1: universally passed by Republicans and Democrats to give the power
27:56
Speaker 1: professional teachers who deal with the handicapped children one thousand
28:00
Speaker 1: dollars bonus. All right, the mayor has now sued the
28:04
Speaker 1: city council said, you can't do that. We have collective bargaining.
28:07
Speaker 1: And guess who's supporting the mayor on this, the New
28:09
Speaker 1: York pach. So we have a problem where we have
28:13
Speaker 1: a mayor and we have a city council Julie Mennin
28:16
Speaker 1: who just love to give away all of our money. Now,
28:20
Speaker 1: who's next. The EMTs, they deserve a raise. They're only
28:23
Speaker 1: getting eighteen dollars an hour. Imagine if you're an illegal
28:26
Speaker 1: alien and you're delivering for grub help, you're making more
28:29
Speaker 1: than that an hour. So I would make you argument, hey,
28:32
Speaker 1: let's give the EMT bonuses. But you can't do that
28:35
Speaker 1: if you have collective bargaining. So stop playing Santa Claus. Mister,
28:40
Speaker 1: excuse the mayor, Mondami and the city council. We have unlimited,
28:43
Speaker 1: finite amount of money and live within our means because
28:47
Speaker 1: it's our money that you're giving away constantly. They and
28:51
Speaker 1: you know, the only one who's gonna be making money
28:53
Speaker 1: on this all the lawyers.
28:55
Speaker 2: The lawyers are going to be filing law suits.
28:58
Speaker 1: They're battling back and forth, and the taxpayers are the
29:01
Speaker 1: ones who get screwed.
29:02
Speaker 3: Yeah. Absolutely, it's all the time. I think I told
29:05
Speaker 3: you when I was driving down South, every Democratic city
29:09
Speaker 3: and state that I ran through was awful. It was awful,
29:12
Speaker 3: and then all of a sudden, it was like you
29:14
Speaker 3: came into heaven. When you got to the Southern Republican states.
29:17
Speaker 3: Everything was greener, everything was cleaner, everything was cheaper. The gas,
29:22
Speaker 3: Oh my god, the gas is so much cheaper.
29:25
Speaker 1: Does this mean that you and your wife are planning
29:27
Speaker 1: to go where the grass is greener?
29:29
Speaker 2: Larry, you know that old adage. No, we're going to.
29:31
Speaker 3: Stay here because we were Northeasterns for you know, pride
29:36
Speaker 3: and true, and we're going to fight against the bad guys.
29:40
Speaker 3: We're going to fight for the Republicans against the Democrats
29:43
Speaker 3: up next.
29:44
Speaker 2: I was wrong.
29:46
Speaker 1: I will self correct myself. I thought that these guys
29:49
Speaker 1: coming out of the shore in front of Madison Square
29:52
Speaker 1: Garden and Penn Station at four o'clock in the morning
29:54
Speaker 1: the other day posted their video on TikTok because they
29:58
Speaker 1: were bold im prasion.
29:59
Speaker 2: It turned it wasn't them.
30:02
Speaker 1: With some guy waiting online for the Olivia Dean concert tickets.
30:07
Speaker 2: I have no idea who she is.
30:09
Speaker 1: We're gonna have to go to the Quiet Storm to
30:10
Speaker 1: find out why so many people are on line at
30:13
Speaker 1: four o'clock in the morning going round the block and
30:15
Speaker 1: Madison Square Garden. Who then knarked out the guy's coming
30:19
Speaker 1: to the sewer.
30:20
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30:24
Speaker 3: If not, please get this. It is a must have
30:28
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30:31
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30:34
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30:38
Speaker 3: is going to work, you might be out of luck.
30:41
Speaker 3: Because communications are hard to come by. New information is
30:47
Speaker 3: hard to come by when the power is out. That's
30:49
Speaker 3: why you need the sea crane wind up emergency radio,
30:53
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31:02
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32:07
Speaker 3: News last night and what are they covering the sewer
32:11
Speaker 3: people in New York? And then I turned to Fox
32:15
Speaker 3: News and what are they talking about the sewer people
32:18
Speaker 3: in New York. I pick up USA Today and there
32:22
Speaker 3: they are, the sewer people in New York. It has
32:25
Speaker 3: become a national story. And you heard it first if
32:29
Speaker 3: you listen to WR in the morning. Because a month ago,
32:34
Speaker 3: a month ago, Curtis Sleewa who is a night guardian,
32:39
Speaker 3: was walking through the streets and saw these people coming
32:43
Speaker 3: out of the sewer and has been following it ever since.
32:48
Speaker 3: So they might act like this is a brand news
32:51
Speaker 3: story and oh my god, look it's happening just now. No, no, no,
32:55
Speaker 3: Curtis has been onto this for a long time. So
32:58
Speaker 3: nice job.
32:58
Speaker 1: Well hmm, don't pent me so hard on the back.
33:02
Speaker 1: I've got to go for a chiropractic adjustment. Yeah, because
33:06
Speaker 1: now I have to use some constructive criticism on myself.
33:10
Speaker 1: Oh yesterday with this story emerging, because it was really
33:15
Speaker 1: clear video, unlike what occurred the first time, when on
33:20
Speaker 1: two different occasions on the same early morning, you had
33:25
Speaker 1: seven guys coming out of a sewer, one in South
33:28
Speaker 1: Brooklyn and then a few hours later in North Brooklyn,
33:31
Speaker 1: and they were dressed in the same garb. They were
33:33
Speaker 1: probably the same guys. They had the lights on their
33:35
Speaker 1: head as if they were miners. You know. The only
33:38
Speaker 1: thing they didn't have was the parakeets, because a lot
33:41
Speaker 1: of times the smells from the sewers will knock you out.
33:45
Speaker 1: But nobody seemed to know what the hell they were
33:47
Speaker 1: doing down there, and the NYPD was a dollar short
33:50
Speaker 1: in the day late they had just.
33:52
Speaker 2: Nothing on him.
33:53
Speaker 1: So the other morning, it's four o'clock in the morning
33:57
Speaker 1: and three guys emerge out of the sewer cap right
34:01
Speaker 1: there in the shadow a Penn station in Madison Square Garden.
34:04
Speaker 1: And I assumed, as I'll dub myself to Nightmare since
34:10
Speaker 1: gen Z's called me the Nightmare because I'm nocturnal, that
34:14
Speaker 1: they posted it themselves as a brazen bold and move
34:18
Speaker 1: to the NYPD come and get us. I couldn't have
34:21
Speaker 1: been more hopelessly wrong. It turns out that there were
34:24
Speaker 1: people on the line at four o'clock in the morning
34:27
Speaker 1: at Madison Square Garden. I'm assuming they were fish people,
34:29
Speaker 1: you know, because they'll they'll basically be online for seventy
34:32
Speaker 1: two hours to go to a fish contract.
34:34
Speaker 6: No fish.
34:37
Speaker 5: I'm just like fish people.
34:39
Speaker 2: There's a fish market there. No fish. You know, the
34:42
Speaker 2: group from Vermont, right. So anyway, a.
34:46
Speaker 1: Guy takes the video. He's online, he's waiting to get
34:50
Speaker 1: Olivia Dean tickets, and I said him, I said, who
34:53
Speaker 1: the hell is Olivia Dean?
34:54
Speaker 2: So what do we turn to?
34:56
Speaker 1: A resident gen z Er the Quiet Storm has come
34:59
Speaker 1: into his own on loan from marksenmon Chris.
35:02
Speaker 2: Why would so many people be.
35:03
Speaker 1: Online at four o'clock in the morning outside of Madison
35:06
Speaker 1: Square Garden.
35:07
Speaker 7: She is incredibly popular, like really blew up in the
35:10
Speaker 7: last year.
35:11
Speaker 2: She won the Best New Artists of the Grammys last year.
35:14
Speaker 2: No idea who she was.
35:16
Speaker 7: She went from like small venues to Madison'surg Garden in
35:21
Speaker 7: like two years and people waiting online again tickets yeah, fortune, yes,
35:25
Speaker 7: like one hundred of dollars, And.
35:26
Speaker 1: Now the NYPD couldn't be more grateful because they have
35:30
Speaker 1: clearer video and they're going under the assumption. Now at
35:34
Speaker 1: least they've indicated that they believe they are migrants from
35:37
Speaker 1: Venezuela who are scavengers, because in Venezuela people were scavenging.
35:43
Speaker 1: And I'm saying to myself, boy, that's a leap. People
35:45
Speaker 1: scavenge all over the world, especially in third world countries.
35:48
Speaker 1: But at least it's something of a lead because before
35:52
Speaker 1: that they had who gots, they had bub gets, they
35:54
Speaker 1: had nothing right.
35:55
Speaker 3: But you had a theory that wasn't necessarily wrong. This
35:59
Speaker 3: is just a new theory. So yes, give yourself credit.
36:02
Speaker 3: You were talking about this long before anybody else, and
36:05
Speaker 3: the national news just caught up.
36:07
Speaker 2: Starting in May.
36:08
Speaker 1: Because remember, uh, my credentials are probably the only guy
36:13
Speaker 1: in talk radio who's actually been down in sewers. Uh,
36:16
Speaker 1: and I acknowledge that both as a teenager to recover
36:19
Speaker 1: spawl deans and pensy pinkies which we used to play
36:23
Speaker 1: stickball with. Uh, and more importantly, even as an adult,
36:26
Speaker 1: I would not recommend it.
36:27
Speaker 3: What the hell's a spall dean is? That a different
36:31
Speaker 3: It's a Spaulding, right, isn't.
36:33
Speaker 1: It explaining I'll explain how that happened. They used to
36:38
Speaker 1: make the tennis balls now that the US Open. They
36:40
Speaker 1: still do, but the ones that didn't meet the specifications
36:44
Speaker 1: to get the green cloth over it to become a
36:47
Speaker 1: a tennis ball were now being sold in candy stores
36:52
Speaker 1: without the covering, and they were spalldeans.
36:55
Speaker 2: And then eventually ye use them for stickball. Yeah, they
37:01
Speaker 2: had half ball. They would cut them in half because
37:03
Speaker 2: the streets is so narrow.
37:05
Speaker 3: We didn't cut them in half. They would break in half.
37:07
Speaker 3: And then you used you didn't want to throw them away,
37:10
Speaker 3: so they came up with a game called half ball. Yeah,
37:13
Speaker 3: that's so cool. Yeah, and they have pimple balls too, Yes.
37:19
Speaker 2: Yes, Curtis.
37:21
Speaker 1: There was nothing worse than seeing your pink Spalding ball
37:26
Speaker 1: rolling towards the gutter.
37:28
Speaker 3: And you just couldn't catch it.
37:31
Speaker 2: That was the worst feeling in the world.
37:33
Speaker 1: What what you would do is you'd grab the runt
37:36
Speaker 1: of the litter, the shrimp on the block, and you
37:39
Speaker 1: would hold his ankles and you would put him down
37:41
Speaker 1: the catch basin. He would be almost asphyxiated. I remember
37:45
Speaker 1: how you would color the eggs for Easter. You would
37:49
Speaker 1: give him a coat hanger and he would try to
37:51
Speaker 1: fish them out of the flotsam and jets them. That's
37:54
Speaker 1: how you made You earned your bones as a real
37:57
Speaker 1: man on the block.
37:59
Speaker 3: When we come back, well, John Decker is patiently standing
38:03
Speaker 3: by our WR and Washington Correspondent. A lot to talk
38:08
Speaker 3: about today, including those AI data centers that many of
38:11
Speaker 3: your talkbacks have been about, and the latest on Iran,
38:15
Speaker 3: the latest on Canada, John Decker, WR White House Correspondent
38:20
Speaker 3: coming up, that's right after these seven o'clock news