Latest / Brian Thomas / Inside Scoop with Breitbart News - Colin Madine

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Inside Scoop with Breitbart News - Colin Madine · Brian Thomas

• 0:01
  Speaker 1: Eight oh five.
• 0:02
  Speaker 2: Here fifty five KRCD talk station, Bryan Thomas wishing everyone
• 0:04
  Speaker 2: a very happy Tuesday. Always looking forward to this time
• 0:07
  Speaker 2: a week we get the benefit of bright Bart News.
• 0:09
  Speaker 2: We'll call it the Insight Scoop, different experts from bright
• 0:12
  Speaker 2: Bart News and the return today of Colin Maydine. He
• 0:15
  Speaker 2: is the tech expert over at Breitbart and as I
• 0:17
  Speaker 2: always start, book mark the site b R E I
• 0:19
  Speaker 2: T B A RT dot com. It's an excellent site.
• 0:22
  Speaker 2: They report on information you're not going to find on
• 0:24
  Speaker 2: mainstream media, of course, and it's always very very good reporting,
• 0:28
  Speaker 2: and of course you always get great reporting from Colin.
• 0:30
  Speaker 2: Made on Colin. It's great to see you this morning
• 0:32
  Speaker 2: on the zoom there. Good to see you, brother, and
• 0:34
  Speaker 2: welcome back to the morning show.
• 0:35
  Speaker 1: Yeah, we've entered the space age here we are on
• 0:37
  Speaker 1: zoom you know, more phones right catching up.
• 0:40
  Speaker 2: Yeah, it's rolling back the clock five six years ago
• 0:43
  Speaker 2: when we all had the concept of zoom cameras and
• 0:44
  Speaker 2: it's finally here at the fifty five KRC Morning Show Studios. Subtle,
• 0:48
  Speaker 2: veiled attack and biting the hand that feeds me. Indulged
• 0:50
  Speaker 2: me on that Colin anyway, pivoting over flock cameras. You
• 0:54
  Speaker 2: may have heard the top of the rd US net.
• 0:55
  Speaker 2: We got one more municipality banning flock. I get the
• 0:58
  Speaker 2: concerns and arguments. Being a civil libertarian, I like my privacy.
• 1:03
  Speaker 2: I don't like living in the Orwellian state we find
• 1:06
  Speaker 2: ourselves in. But part of me has to really kind
• 1:09
  Speaker 2: of default to isn't the genie really out of the
• 1:11
  Speaker 2: bottle on this? And the reason I say that is
• 1:14
  Speaker 2: you don't have to adopt a flock camera system in
• 1:16
  Speaker 2: your neighborhood, but we are literally surrounded by I think
• 1:19
  Speaker 2: all this is voluntary ring doorbell cameras, constantly recording everything.
• 1:24
  Speaker 2: And then the next phase of all this, and this
• 1:26
  Speaker 2: is a greater concern for me from a privacy standpoint.
• 1:30
  Speaker 2: Amazon is coming with drones to five hundred cities, ever
• 1:33
  Speaker 2: growing fleet of drones flying all around the place. Colin,
• 1:37
  Speaker 2: would it surprise you to know that maybe a camera
• 1:39
  Speaker 2: might be rounded on one of those drones and they
• 1:41
  Speaker 2: two would be recording literally everything. This is a private company.
• 1:45
  Speaker 2: We're not inviting them into the neighborhood. But next thing
• 1:47
  Speaker 2: you know, we're gonna look up and the sky is
• 1:49
  Speaker 2: gonna be filled with them.
• 1:51
  Speaker 1: Wrinkle problem, yeah, endless problems. You know what we're seeing, Brian,
• 1:59
  Speaker 1: is a struggle goal in technology. Lots of areas of
• 2:02
  Speaker 1: technology between potential public goods and this dystopian Orwellian nightmare.
• 2:10
  Speaker 1: You know what we've learned in the last ten years
• 2:14
  Speaker 1: as Orwell was really selling the surveillance state short. You know,
• 2:17
  Speaker 1: he had two waight cameras monitoring everyone. Everyone's spying on
• 2:21
  Speaker 1: each other man. That was rookie stuff, right, because what
• 2:26
  Speaker 1: you've perceptibly brought up is what we see private companies doing.
• 2:31
  Speaker 1: So lots of people love their Rumba vacuums, you know,
• 2:34
  Speaker 1: the automatic vacuum. But guess what the rumba is mapping
• 2:37
  Speaker 1: your house and sending that information to god knows where,
• 2:41
  Speaker 1: and that's going to be used against us. Amazon is
• 2:44
  Speaker 1: delivering packages. Part of how these autommatic packages are going
• 2:48
  Speaker 1: to be delivered is they took all these gig economy
• 2:51
  Speaker 1: drivers like Uber drivers and Uber eats and you know
• 2:55
  Speaker 1: so forth door Dash. They use them to map the
• 2:57
  Speaker 1: streets and figure out, oh, this guy's sidewalk is bumpy.
• 3:01
  Speaker 1: So the drone's going to struggle there, right, So you know,
• 3:06
  Speaker 1: you look at a technology like flock. Your audience, the
• 3:09
  Speaker 1: Brightbird audience. My main message is this is not a
• 3:13
  Speaker 1: black and white issue. You shouldn't be for them or
• 3:16
  Speaker 1: against them, because it's very complicated. Flock cameras solve terrible crimes.
• 3:23
  Speaker 1: When a murder happens in Cincinnati, we see them on
• 3:27
  Speaker 1: the show First forty eight. You know, actual murder investigations
• 3:30
  Speaker 1: when it happens in Chicago. These murders are dirty, messy
• 3:35
  Speaker 1: things that often happen at one in the morning, right
• 3:38
  Speaker 1: in neighborhoods where people don't talk to the police, So
• 3:42
  Speaker 1: where police might spend three weeks trying to find the
• 3:45
  Speaker 1: white car that drove by the murder scene at two am.
• 3:49
  Speaker 1: Now they turn the flock, So flock helps detective solve murders.
• 3:54
  Speaker 1: You know, you're being from the legal field. You're familiar
• 3:57
  Speaker 1: with the fact that there's lots of types of crimes
• 3:59
  Speaker 1: that hardly get investigated because a manpower. Right, So, you know,
• 4:04
  Speaker 1: those of us who have been blessed to not be
• 4:06
  Speaker 1: the victim of a significant crime, think, if someone steals
• 4:09
  Speaker 1: our car, you got like CSI out there with fingerprint
• 4:12
  Speaker 1: dust and all that kind of stuff. None of that happens,
• 4:15
  Speaker 1: they take a report and they say, okay, we'll look
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  Speaker 1: for it. Flock helps solve those crimes because you're not
• 4:20
  Speaker 1: relying on a police seeing a white Toyota camry. They
• 4:23
  Speaker 1: see a thousand of those a day. Now, you know,
• 4:26
  Speaker 1: flock is saying, hey, look for this play right, that's
• 4:29
  Speaker 1: the pro side. The conside is we you know, there's
• 4:33
  Speaker 1: cops stocking ex boyfriends and ex girlfriends with this technology
• 4:37
  Speaker 1: for police officers, and Georgia just got arrested for it.
• 4:41
  Speaker 1: You know, we're reporting that today on by Bartech. You
• 4:45
  Speaker 1: see cops doing things. You know you've seen this a
• 4:49
  Speaker 1: million times in your legal career, Brian. We pass a
• 4:52
  Speaker 1: law for one reason that gets used for another reason,
• 4:54
  Speaker 1: Like the Patriot Act was to stop terrorism.
• 4:56
  Speaker 2: There you go, right, wait, gets used for the thing.
• 5:00
  Speaker 1: So flock cameras are being used. There was a case
• 5:03
  Speaker 1: in Wisconsin they were using flock cameras to see who
• 5:06
  Speaker 1: Drew drove across the Michigan border to buy legal weed
• 5:10
  Speaker 1: and then came back. And it's like, why are we
• 5:12
  Speaker 1: using tech for that instead of solving the murders? Right,
• 5:15
  Speaker 1: Because it's it's pitched to solve murders, it's used to
• 5:18
  Speaker 1: catch legal weed buyers. And then you know, my biggest issue,
• 5:23
  Speaker 1: and there's really two I want to touch on. My
• 5:26
  Speaker 1: biggest issue is that police need to do policing and
• 5:30
  Speaker 1: they can't rely on technology. We've had many cases where
• 5:35
  Speaker 1: there's misidentification through FLOCK or facial recognition with AI and
• 5:40
  Speaker 1: he just arrests someone and throw him in jail for
• 5:42
  Speaker 1: six months that if they did a traditional investigation, they
• 5:45
  Speaker 1: would say this person did not do this crime, right,
• 5:49
  Speaker 1: So it has to be a tool, not replacing the investigation.
• 5:53
  Speaker 2: I agree with you completely, But all the challenges, or
• 5:56
  Speaker 2: rather the problems you identify, the abuse of the system
• 5:58
  Speaker 2: by you know, ops that want to stalk their ex
• 6:01
  Speaker 2: girlfriends or ex wives or whatever. All the abuses, it
• 6:05
  Speaker 2: seems to me, could be solved by changes in policies
• 6:09
  Speaker 2: or practice. So you can create a system I suppose
• 6:14
  Speaker 2: where you know, perhaps like a two factor authentication. If
• 6:16
  Speaker 2: anybody's going to be searching the flock database, then they
• 6:19
  Speaker 2: must get the approval of a superior or whatever. I mean,
• 6:22
  Speaker 2: can you can put preventive measures in there?
• 6:25
  Speaker 1: Well, they're doing that now, Brian, Yeah, you know, there's
• 6:28
  Speaker 1: been a backlash Flock is coming out with these tools. Now,
• 6:32
  Speaker 1: Flock itself used very ominous language. I hope I don't
• 6:37
  Speaker 1: give you a medical emergency because of your civil libertarian tendencies. Right.
• 6:41
  Speaker 1: The Flock ceo and came out said we need to
• 6:43
  Speaker 1: compromise safety and privacy. When a CEO says that, that
• 6:48
  Speaker 1: means you're going to have no privacy and no safety typically, right,
• 6:52
  Speaker 1: and they're going to get a lot of money for it.
• 6:54
  Speaker 1: So that concerns me that he said that. But they
• 6:57
  Speaker 1: are working on those systems to prevent that abuse. That's
• 7:01
  Speaker 1: not a major problem. I do think there's a much
• 7:04
  Speaker 1: deeper problem, and it's what you identified, which is what
• 7:08
  Speaker 1: does flock do with this data? Will Flock do what
• 7:11
  Speaker 1: Silicon Valley typically does and turn around and try to
• 7:13
  Speaker 1: sell this to insurance companies? You know, Hey, Brian, you
• 7:16
  Speaker 1: told us you drive ten miles a day. Flock saw
• 7:20
  Speaker 1: you on the freeway. You know, are you lying to
• 7:22
  Speaker 1: us so we raise your rates? Will Flock try to
• 7:26
  Speaker 1: sell this data to employers? Hey, your employee was on
• 7:29
  Speaker 1: the highway? What were they doing there? Right? I have
• 7:32
  Speaker 1: a lot of concerns about that because that's what you
• 7:35
  Speaker 1: were getting at Yeah, Amazon takes the ring data and
• 7:38
  Speaker 1: we'll try to monetize it. Silicon Valley it loves monetizing
• 7:43
  Speaker 1: our data and including where we are and where we're driving.
• 7:46
  Speaker 2: And of course you know we have a text thing
• 7:47
  Speaker 2: when every week with Dave had It it talks about
• 7:49
  Speaker 2: the Internet of Things device is these free apps and
• 7:51
  Speaker 2: all they are is, oh, it's free, but they're hoovering
• 7:53
  Speaker 2: up your data. So we all have concerns about that.
• 7:56
  Speaker 2: The I guess the issue with them selling the data
• 7:59
  Speaker 2: since they're using the proceeds of taxpayer dollars as a
• 8:02
  Speaker 2: business model. Flock cameras are bought by municipalities. Of course
• 8:05
  Speaker 2: they're paid a service for it. I might I imagine
• 8:08
  Speaker 2: you could preempt that by having a contractual provision prohibiting
• 8:11
  Speaker 2: the sale of any data by Flock to any outside entity.
• 8:15
  Speaker 2: So there could be a measure in place. It's like,
• 8:17
  Speaker 2: you know, we're going to talk about AI data centers here.
• 8:19
  Speaker 2: If you're concerned about power, and that's the big concern
• 8:22
  Speaker 2: from the community. If you require the data center to
• 8:24
  Speaker 2: bring its own power or otherwise pay for the power
• 8:27
  Speaker 2: at you know, whatever rate, then you've got that problem
• 8:29
  Speaker 2: solved upfront. Are there enough fixes up front that people
• 8:34
  Speaker 2: might welcome Flock or is this really an Orwellian I
• 8:38
  Speaker 2: just don't want to be watched twenty four to seven,
• 8:41
  Speaker 2: which I'll go back to say, ignores the reality of
• 8:44
  Speaker 2: the ubiquitous nature of cameras. Literally everywhere you got one
• 8:48
  Speaker 2: in your pocket. I got one right here, Colin.
• 8:52
  Speaker 1: Yeah, you know there's a lot to process there, Brian,
• 8:56
  Speaker 1: But I think in one case, yes, we can solve
• 9:00
  Speaker 1: a lot of the problems through contracting. What we're seeing
• 9:03
  Speaker 1: is companies like Flock are much more sophisticated than a
• 9:06
  Speaker 1: lot of municipalities on contracts. So we're seeing lots of
• 9:10
  Speaker 1: fights going on. Knox County, I think that's in Tennessee
• 9:14
  Speaker 1: is just starting a fight with them where they're saying, hey,
• 9:16
  Speaker 1: the Sheriff's department bought some of your cameras, and you
• 9:19
  Speaker 1: use loopholes to get through our contract rules. So we're
• 9:22
  Speaker 1: shutting that down, you know. So that's where we are now.
• 9:25
  Speaker 1: There was a lot of loopholes exploited by companies. That's
• 9:29
  Speaker 1: what Silicon Valley loves to do, find the loopholes and
• 9:32
  Speaker 1: turn them into profit centers. So some of that's happening,
• 9:36
  Speaker 1: you know, I think what you're going to see is
• 9:39
  Speaker 1: there's proper applications of flock and there's improper. So if
• 9:43
  Speaker 1: you live in the idyllic suburb where there's been you know,
• 9:47
  Speaker 1: I'm thinking of Inverness, Illinois, there was one murder in
• 9:50
  Speaker 1: forty years, there's not a huge use case for flock cameras.
• 9:57
  Speaker 1: If you live in the areas of Cincinnati plagued by
• 10:01
  Speaker 1: serious violent crime, you should want flock cameras because they
• 10:07
  Speaker 1: solve crimes. They're an excellent you know another technology I'll
• 10:11
  Speaker 1: just throw at you, that's a big deal. Where I
• 10:13
  Speaker 1: live in the Chicago area, there's a technology called shot spotter. Yeah,
• 10:17
  Speaker 1: we uses Okay, Well, Chicago turned it off. They didn't
• 10:20
  Speaker 1: want to pay for it. They said it's not a
• 10:22
  Speaker 1: good deal. Consequently, you know, it turns out in Chicago,
• 10:26
  Speaker 1: partly because it's so common, people don't call nine one
• 10:28
  Speaker 1: one for gunshots. So shot spotter used to save lives
• 10:32
  Speaker 1: because it would tell the cops, hey, there was a
• 10:33
  Speaker 1: gun shot here. They would go find a guy bleeding
• 10:36
  Speaker 1: on the ground and take him to the hospital. Now
• 10:38
  Speaker 1: that guy's dead because no one calls nine to one one.
• 10:41
  Speaker 1: So like there's a balance shot spotter doesn't work in
• 10:45
  Speaker 1: my little leafy suburban neighborhood of Lake Zurich, Illinois. It
• 10:49
  Speaker 1: works in Chicago. Flock, I would argue, is the same thing.
• 10:53
  Speaker 2: Yes, having lived in Chicago, I understand being desensitized the
• 10:56
  Speaker 2: gunfire and that's a problem city of Cincinnati too. But
• 10:59
  Speaker 2: the odd thing about the shots about are being shut
• 11:01
  Speaker 2: off or rejected by the community or the community officials.
• 11:04
  Speaker 2: It doesn't record individually identifiable data. It just lets you
• 11:09
  Speaker 2: know where the damn gun went off. That seems to
• 11:10
  Speaker 2: be a very valuable piece of information for the police department,
• 11:13
  Speaker 2: especially in high crime neighborhoods. I think the nefarious element
• 11:16
  Speaker 2: behind that is it tends to statistically identify the troubled
• 11:20
  Speaker 2: neighborhoods because the number of shots that went off in
• 11:22
  Speaker 2: any given area.
• 11:24
  Speaker 1: Yeah, it's very similar to the huge debate over police
• 11:27
  Speaker 1: body cameras. Civil rights activists argued for years when need
• 11:31
  Speaker 1: body cameras. Once they started seeing the body cam videos,
• 11:33
  Speaker 1: they said, turn off the body gear.
• 11:35
  Speaker 2: I know it worked to help the police departments more
• 11:38
  Speaker 2: than the community that was claiming they were being victims
• 11:40
  Speaker 2: of police brutality. Pitvting over to sort of a comparable issue,
• 11:44
  Speaker 2: you know, and I guess the same question can apply
• 11:46
  Speaker 2: with AI. Are with flock? Are the people that are
• 11:50
  Speaker 2: going to council meetings and protesting flock cameras and engaging
• 11:54
  Speaker 2: all that to activity. Are they a squeaky wheel that's
• 11:57
  Speaker 2: getting the attention or do they really represent the majority
• 11:59
  Speaker 2: opinion that allows me to ask sort of the same
• 12:01
  Speaker 2: question about AI. The elephant in the room for me
• 12:04
  Speaker 2: with AI is, you know, we need to get control
• 12:06
  Speaker 2: of this technology. We need to be the dominant force
• 12:09
  Speaker 2: in the globe. So it's out there, the genies out
• 12:13
  Speaker 2: of the bottle, It's not going away. It's a question
• 12:15
  Speaker 2: of whether we control the future of it, which requires
• 12:18
  Speaker 2: data centers. So all the screaming and the knowing about
• 12:21
  Speaker 2: data centers seems to be predicated on power consumption and noise.
• 12:25
  Speaker 2: But I think it's more about what AI does, the
• 12:29
  Speaker 2: threat of eliminating jobs, the creepy ways in which it
• 12:32
  Speaker 2: can tell you how to build a dirty bomb or
• 12:35
  Speaker 2: how to hack into a computer system. Ai'll do it
• 12:37
  Speaker 2: for you, now we can't. I mean, those are looming
• 12:40
  Speaker 2: questions that are going to exist whether or not we
• 12:41
  Speaker 2: got an AI center in our backyard or not right, Colin.
• 12:45
  Speaker 1: Yes, you know, I'm more mixed on this than perhaps
• 12:49
  Speaker 1: the way you look at it, Brian, And so you know,
• 12:52
  Speaker 1: here's where I come from. First of all, the AI
• 12:57
  Speaker 1: data center rollout is a absolute legendary failure of marketing
• 13:03
  Speaker 1: and messaging by Silicon valid Okay, let's be clear about that.
• 13:07
  Speaker 1: Silicon Valley approach it the way they do, which is,
• 13:10
  Speaker 1: we are the elites. You are the peasants. You will
• 13:12
  Speaker 1: do what we tell you, and this is good for you.
• 13:15
  Speaker 1: And America revolted against that, you know, across the country.
• 13:19
  Speaker 1: This has become a elite versus everyone else issue. Now,
• 13:24
  Speaker 1: you know, the way I look at it is Silicon
• 13:29
  Speaker 1: Valley wants to pitch this as a positive, Okay. They
• 13:35
  Speaker 1: want to say, we need this to be China. Okay.
• 13:37
  Speaker 1: So my response to Silicon Valley is, why are you
• 13:40
  Speaker 1: the power players of AI right now embracing Chinese AI.
• 13:45
  Speaker 1: Almost every company you can rattle off that's not a
• 13:49
  Speaker 1: direct AI company like Open Ai or Anthropic is powering
• 13:54
  Speaker 1: their systems using Chinese AI. Why are they doing that?
• 13:57
  Speaker 1: If we have to win the AI race? That seems
• 14:00
  Speaker 1: kind of like Pearl Harbor, you know, stocking Japanese boats
• 14:03
  Speaker 1: or something doesn't quite make sense. The data center fight
• 14:08
  Speaker 1: is primarily, in my opinion, driven by how these things
• 14:13
  Speaker 1: came about. You don't see companies coming to communities saying
• 14:18
  Speaker 1: we want to build this and here's why it's good
• 14:19
  Speaker 1: for you. We see them going to local governments signing
• 14:23
  Speaker 1: NDA's creating shell companies to buy land, so you don't
• 14:26
  Speaker 1: know it's Meta or whatever big company, and and then
• 14:31
  Speaker 1: you know it's the way they use the resources. So
• 14:34
  Speaker 1: I was jokingly made the example yesterday of when you
• 14:37
  Speaker 1: read Frankenstein. You know, doctor Frankenstein wants to make his monster.
• 14:42
  Speaker 1: He doesn't hook up to the town's electric grid, and
• 14:45
  Speaker 1: you know, all the lights go out so he can
• 14:46
  Speaker 1: make his monster. He creates his own generators, and he
• 14:49
  Speaker 1: has a lightning poll number, he flips, a monster comes alive.
• 14:53
  Speaker 1: That's not what AI does. They just steal everyone else's power,
• 14:56
  Speaker 1: right and say good luck with your grid. So you
• 15:00
  Speaker 1: know what I would have done if I were them
• 15:03
  Speaker 1: and they're going to try to do now, is say, hey,
• 15:06
  Speaker 1: you know, first of all, we're not I would not
• 15:09
  Speaker 1: drop data centers in suburban neighborhoods because it's cheaper to
• 15:13
  Speaker 1: do that because if you you know, if you bought,
• 15:16
  Speaker 1: if you made it in life, you work through your career,
• 15:19
  Speaker 1: you bought that the excellent mansion in the suburbs of Georgia.
• 15:23
  Speaker 1: You don't want to wake up one day and your
• 15:24
  Speaker 1: water pressure is almost nothing because they build a data
• 15:27
  Speaker 1: center down the street and your water's gone. Absolutely you
• 15:32
  Speaker 1: That's sort of the contract in America. The social contract
• 15:35
  Speaker 1: is if we build a suburban house, we won't live
• 15:38
  Speaker 1: next to the data center.
• 15:39
  Speaker 2: Well, but I think the concerns you expressed there, I
• 15:42
  Speaker 2: mean v bag Romis when we running for government of
• 15:44
  Speaker 2: State of Ohio is sort of address this head on.
• 15:46
  Speaker 2: If a data center comes, it must bring its own power,
• 15:49
  Speaker 2: It must address the water water needs. We have closed
• 15:51
  Speaker 2: loop systems to cool the plants. They don't use a
• 15:54
  Speaker 2: lot of water. It's like the radiators in our car.
• 15:56
  Speaker 2: You don't have to suck up an abundance of resource.
• 15:59
  Speaker 2: There are techno logical workarounds to most of the problems
• 16:02
  Speaker 2: that have been articulated up front. We're just throwing worse
• 16:04
  Speaker 2: nightmare in terms of power generation. I'm a huge fan.
• 16:07
  Speaker 2: Here I go again, my listeners, Here he goes small,
• 16:09
  Speaker 2: modular reactors small the size of a small shipping container.
• 16:12
  Speaker 2: These are multi billionaire company, billion dollar companies. If we
• 16:16
  Speaker 2: just got out of the regulatory hurdle, allow them to
• 16:19
  Speaker 2: bring their own power, it could be that a neighborhood
• 16:21
  Speaker 2: benefits from lower cost electricity because they're producing more than
• 16:24
  Speaker 2: they need.
• 16:24
  Speaker 1: Colin. That would be great, but it had that's not
• 16:28
  Speaker 1: the course they chose. They chose in the suburbs, right.
• 16:32
  Speaker 1: So what we're talking about, we're not only talking about
• 16:35
  Speaker 1: how to do it right, which is what you're describing, right,
• 16:38
  Speaker 1: but we're trying. We're talking about how to undo some
• 16:40
  Speaker 1: of this damage, you know, and they're still addicted to
• 16:44
  Speaker 1: the free money. So we just reported at bright Bart
• 16:47
  Speaker 1: yesterday they want to put these data centers. There's a
• 16:50
  Speaker 1: number of data centers close to a Haair Airport in Chicago.
• 16:52
  Speaker 1: They want to put more. They're giving a massive tax break. Yeah,
• 16:56
  Speaker 1: so the homeowners will pay more taxes. So what we're
• 17:00
  Speaker 1: saying is, here's these in some cases trillion dollar companies,
• 17:03
  Speaker 1: but I need to pay for them, and my power
• 17:06
  Speaker 1: is screwed up, no water, screwed up, No thank you.
• 17:08
  Speaker 2: That is a recipe for disaster right there. Of course,
• 17:13
  Speaker 2: they'll be feeling that in Chicago at some point. Can't
• 17:15
  Speaker 2: come fast enough. Tech editor from Breitbart, It's the Inside
• 17:18
  Speaker 2: Scoop Day. Breitbart Inside Scoops Tech editor Colin Maydine on
• 17:20
  Speaker 2: the program today. Love It's gonna be on the podcast
• 17:23
  Speaker 2: page fifty five care see dot iHeart dot com.
• 17:25
  Speaker 1: Colin.
• 17:25
  Speaker 2: I'll look forward to talking with you real soon. Keep
• 17:27
  Speaker 2: up the great work, and hello to all the crew
• 17:28
  Speaker 2: at Breitbart.
• 17:30
  Speaker 1: All right, thanks guys.
• 17:31
  Speaker 2: Thanks brother, take care of yourself. Coming up, the Daniel
• 17:34
  Speaker 2: Davis deep dive economic time bomb dropped on Iran. We'll
• 17:38
  Speaker 2: see what he has to say about that one. Coming
• 17:40
  Speaker 2: up fifty five KRC for more information about