Latest / Curtis Sliwa & Larry Mendte In The Morning / Rich DeMuro, Host of 'Rich on Tech interview

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Rich DeMuro, Host of 'Rich on Tech interview · Curtis Sliwa & Larry Mendte In The Morning

• 0:00
  Speaker 1: I'm talking about it a lot on this show, about
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  Speaker 1: a massive national controversy. They just had hearings in the
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  Speaker 1: Senate in Connecticut over this over flock safety automated license
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  Speaker 1: plate readers. So a lot of people just call them
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  Speaker 1: flock cameras. There's a controversy over mass surveillance, over civil liberties,
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  Speaker 1: over data privacy, and so the perfect guy to talk
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  Speaker 1: to about all of this is on the phone right now,
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  Speaker 1: Rich DeMuro. Rich on Tech has heard Sunday nights from
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  Speaker 1: eight to eleven pm on WOOR and you can talk
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  Speaker 1: to him at rich on Tech on Instagram. Rich, this
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  Speaker 1: flock controversy, you know, has blown up now and there's
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  Speaker 1: there's over well over ten thousand of these across the
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  Speaker 1: country that've been used for a while. The controversy is
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  Speaker 1: over mass surveillance and what they're doing with your data.
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  Speaker 1: And I know that there's been a lot of problems
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  Speaker 1: in some local police departments where the police officers themselves
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  Speaker 1: have used them for personal reasons. What do you think,
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  Speaker 1: First of all, tell us how these work.
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  Speaker 2: So it's interesting I had to look in my notes
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  Speaker 2: to see the first time I did a story on
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  Speaker 2: these cameras, it was back in twenty nineteen, we went
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  Speaker 2: to a neighborhood and they were so excited to install these.
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  Speaker 2: And back in the day when these first started, basically,
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  Speaker 2: if you were a homeowner's association or a neighborhood, you
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  Speaker 2: would pay, you would gather everyone together pay for these cameras,
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  Speaker 2: pay for the maintenance, and you would install them at
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  Speaker 2: the opening of your street, at the two ends of
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  Speaker 2: basically the opening and closing of your street, so that
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  Speaker 2: every license play, every car that would come into your neighborhood,
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  Speaker 2: you had a log. And so if there's ever a
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  Speaker 2: crime in your neighborhood, is there ever a problem, you could
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  Speaker 2: just go into that log and you can find the car.
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  Speaker 2: You can actually slice and dice a lot of different ways,
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  Speaker 2: but one of them is, Hey, show me all the
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  Speaker 2: cars that came into this neighborhood this week that don't
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  Speaker 2: typically come into this neighborhood, and then you can narrow
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  Speaker 2: down from there. Since then, obviously the popularity of these
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  Speaker 2: cameras have exploded, And I think the really interesting aspect
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  Speaker 2: to what Flock is doing is the kind of network
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  Speaker 2: they are building. So when you have a camera system
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  Speaker 2: in you know, somewhere in Chicago, or somewhere in Florida
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  Speaker 2: or somewhere in Minneapolis wherever. You can potentially link all
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  Speaker 2: of those together if you decide to share your data,
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  Speaker 2: and that's what makes this giant database that then people
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  Speaker 2: can tap into and say, let me find out where
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  Speaker 2: this license plate has gone in the past week. And
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  Speaker 2: according to all these different cameras in different places, you
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  Speaker 2: may be able to track that.
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  Speaker 3: Oh so maybe your boyfriend, girlfriend, wife a hushman. They
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  Speaker 3: could tap into that too if they're a little suspicious
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  Speaker 3: of their mate.
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  Speaker 2: I mean theoretically, because these things are typically run by
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  Speaker 2: homeowner association. So yeah, probably if you wanted to see
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  Speaker 2: what's going on.
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  Speaker 4: I mean, look, we have cameras.
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  Speaker 2: Are not new. We have so many cameras in cities
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  Speaker 2: all across the world. New York City has a lot
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  Speaker 2: of cameras. The difference here, I think is that the
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  Speaker 2: city run purpose built systems for what they need, right,
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  Speaker 2: like the LAPD or the NYPD or whatever department, they
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  Speaker 2: have cameras for their specific needs. Right, we want to
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  Speaker 2: cover this area, We want to watch this with flock.
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  Speaker 2: It's a private company that is putting cameras in sometimes
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  Speaker 2: private or public places, but that network effect of Hey,
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  Speaker 2: we could theoretically link up all of these cameras across
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  Speaker 2: the nation for one giant mass surveillance. I think that's
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  Speaker 2: the aspect people have an issue with. We've got ring
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  Speaker 2: cameras on doorbells across the nation right now, there's not
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  Speaker 2: one major database that you can just say, let me
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  Speaker 2: type something into this database and check every ring camera
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  Speaker 2: in America. Is that possible?
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  Speaker 4: Sure? Is it happening right now?
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  Speaker 2: No?
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  Speaker 1: And with the advent of AI, I think that's what
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  Speaker 1: the concern is, how quickly they can get so much
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  Speaker 1: information on you and then share it. And I think
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  Speaker 1: a lot of the municipalities say, Okay, we're not going
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  Speaker 1: to share it with the federal government, We're just going
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  Speaker 1: to share it with the states that are around. I'm
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  Speaker 1: not sure that's enough. But you know what, Rick, I'm
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  Speaker 1: torn on this a little bit because ten thousand missing
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  Speaker 1: children have been found by these things, and they say
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  Speaker 1: the twenty five percent of the crimes that these flock
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  Speaker 1: cameras have helped law enforcement crack the cases. So I
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  Speaker 1: would think there has to be some kind of in
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  Speaker 1: between here.
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  Speaker 2: Oh absolutely, I mean, look, these cameras, they solve crimes
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  Speaker 2: they reunite people with the ring cameras, they reunite pets
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  Speaker 2: with their owners. I think they're doing last I checked
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  Speaker 2: like an average of one pet a day. I mean,
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  Speaker 2: these are real impacts on people.
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  Speaker 4: And the other aspect is, hey, look.
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  Speaker 2: If you're not doing anything wrong, do you really care?
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  Speaker 2: It's not a big deal you're finding bad guys. But
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  Speaker 2: you know, do we want to live in a society
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  Speaker 2: where if something happened and they say, let's put out
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  Speaker 2: an APB for rich Tamiro, you can find me in
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  Speaker 2: twenty seconds because every single camera in the world can
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  Speaker 2: use AI to search for my face. Do we want
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  Speaker 2: that reality in our world, in our America? I'm not sure.
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  Speaker 2: Do we want to solve crimes? Do you want to
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  Speaker 2: get bad guys behind bars? Do we want to catch
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  Speaker 2: people that do things? Bad things?
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  Speaker 4: Of course? But where does it end?
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  Speaker 2: And I think with AI it opens up a lot
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  Speaker 2: of questions because it can be instantaneous on how fast
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  Speaker 2: you could track someone anywhere in the States where you
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  Speaker 2: might have cameras that are linked together.
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  Speaker 3: Well, Rich DeMuro sounds very O'wellian, sounds just like Red
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  Speaker 3: China to me, fluck the flock, But let's move to AI.
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  Speaker 3: Steve Hilton is the Republican candidate for governor. He knows
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  Speaker 3: about technology. His wife used to be the communications chief
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  Speaker 3: of Google and for Facebook. He carries a flip phone
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  Speaker 3: because he says, I don't need all the clutter. Just
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  Speaker 3: calls and texts, That's it. But he said that Open AI,
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  Speaker 3: sam Oltman and the Anthropic CEO are spreading doom and
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  Speaker 3: gloom and that's why there's so much negative feedback towards AI.
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  Speaker 3: And I'm saying, rich, isn't this because these are the
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  Speaker 3: two guys in the lead of the race in developing AI,
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  Speaker 3: with the billions that are pouring in, and this doom
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  Speaker 3: and gloom statements, should they keep mating making will actually
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  Speaker 3: force the Senate and government to input regulations while they're ahead,
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  Speaker 3: which would hurt the competition.
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  Speaker 2: I mean, it's a very good theory, and a lot
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  Speaker 2: of people may think that because, yes, if they put
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  Speaker 2: regulations in place, Open AI, Anthropic, who's right there trying
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  Speaker 2: to help the government with these regulations. The two biggest
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  Speaker 2: companies that are set to really benefit from being the
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  Speaker 2: front runners and saying, okay, all your little guys, all
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  Speaker 2: the other people trying to do stuff. You know, let's
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  Speaker 2: make sure you can't look. There is so much when
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  Speaker 2: it comes to AI on both sides. Some people say
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  Speaker 2: it's going to be end of all humanity. Some people
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  Speaker 2: say it's going to be the best thing that's ever
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  Speaker 2: happened to humanity, And so we don't know yet. I mean,
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  Speaker 2: I really think at this point we cannot stop the progress.
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  Speaker 2: We have to let these companies do things, but we
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  Speaker 2: also can't let them go unchecked the way that we
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  Speaker 2: let all of the big social media networks Facebook, Instagram
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  Speaker 2: go on checked for so many years, and look what
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  Speaker 2: they're doing when it comes to mental health when it
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  Speaker 2: comes to teenagers.
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  Speaker 4: So we can't let that happen. But we also.
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  Speaker 2: Cannot let China, who, by the way, is already putting
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  Speaker 2: out a lot of open source models that people in
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  Speaker 2: the US are using, and they're coming from China because
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  Speaker 2: guess what, they're free and they're easy to use versus
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  Speaker 2: the paid stuff from open AI and anthropic. We cannot
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  Speaker 2: let that happen in a big way because it does
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  Speaker 2: have implications for these companies that I've spent so much
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  Speaker 2: money investing in what they're doing.
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  Speaker 1: Rich Demurro, we never have enough time with you. I
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  Speaker 1: have a whole list of things I wanted to talk
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  Speaker 1: to you about that we can't wait to talk to
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  Speaker 1: you next week because I'll take the same list out.
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  Speaker 1: Rich DeMuro has heard Sunday nights from eight to eleven
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  Speaker 1: pm on WOOR. You can reach out to them on
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  Speaker 1: rich ontech dot com. Rich thanks again, you were enlightening.
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  Speaker 1: Thank you very much.
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  Speaker 4: Thanks Larry, Thanks Curtiss. Throughout