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Broadcasting across the nation from the East Coast to the West, keeping you up to date on technology while enjoying a little whiskey on the side with leading edge topics, along with special guests, to navigate technology in a segmented, stylized radio program.
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The information that will make you go, hmmm.
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Pull up a seat, raise a glass with our hosts as we spend the next hour talking about technology for the common person.
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Welcome to Tech Time Radio with Nathan Mum.
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Welcome to Tech Time Radio with Nathan Mum, the show that makes you go, hmm.
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Technology News of the Week, the show for the everyday person talking about technology, broadcasting across the nation with insightful segments on subjects weeks ahead of the mainstream media.
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We welcome our radio audience of 35 million listeners to an hour of insightful technology news.
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I'm Nathan Mum, your host and technologist with over 35 years of technology expertise here.
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Our co-host Mike Ruday is in the studio.
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He's the award-winning author, our human behavior expert, and Mike the AI guy, world famous, world-renowned.
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Can't wait for that segment coming up later in the show.
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Murr.
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We're live streaming during our show on six of the most popular platforms, including YouTube, Twitch.tv, Facebook, LinkedIn, and now Kick and Rumble.
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We encourage you to visit us online at techtimeradio.com.
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Become a Patreon supporter at patreon.com forward slash techtime radio.
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We are friends with different backgrounds, but we bring the best technology show possible each week for our family listeners and fans to enjoy.
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We're glad to have Tracy, our producer, at the control panel today.
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Welcome everyone.
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Let's start today's show.
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Now on today's show.
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All right, today on the show we have Nick Espinosa back from Security Fanatics.
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He's here to scare you straight on what's going on in technology.
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You will not want to miss his take on AI and security issues across our nation.
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You were saying before the show, Mike, this is your uh well, you love these type of shows, right?
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Yeah, I love I love it when Nick comes on the show, but he's like I always say, he's like this old testament prophet that comes on and tells us how bad things are.
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And then we end up jumping out.
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And then I drink, and then I drink whiskey.
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So, you know, that's just the thing.
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That's the coping mechanism.
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And of course, we have our standard features, including this week in technology, our technology failed the week, which is very funny, and a possible Nathan Nugget if we have time.
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But of course, we have our pick of the day whiskey tasting.
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Let's see if our selected whiskey pick gets zero, one or two thumbs up at the end of the show.
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Now, though, it's time for the latest headlines in the world of technology.
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Here are our top technology stories of the week.
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All right, today we're opening with a story that's already reshaping the global tech and financial landscape.
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Anthropic, the AI safety company behind the Claude Models, is preparing a public listing that could raise around a hundred billion, a number so large it dwarfs anything Europe has seen in decades, and even surpasses SpaceX record raise earlier this year.
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To help us understand more about this, let's go to Jennifer Merrick with more on this story.
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Thanks, Nathan.
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$100 billion.
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That's not just big, that's historic.
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It's unprecedented.
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Europe's largest listing in decades was Porsche in 2022, about 9.4 billion.
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Anthropic is talking about 10 times that.
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And remember, SpaceX set a record in June with a$75 billion raise, later adjusted to$85.7 billion after underwriters exercised options.
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Anthropic is preparing to blow past both.
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And investors are modeling a valuation even higher, as some models go as high as three trillion dollars.
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What's unusual is that Anthropic's senior executives haven't set a valuation target, even privately.
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The market is essentially pricing the company on its own.
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Now back to the studio.
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She from Canada.
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Uh I think CS.
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Yes.
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Anthropic is gonna be the AI winner.
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And it are they gonna be now the new super company?
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There's also a governance twist.
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Anthropic is considering a super voting shares for CEO and co-founders, despite coming up with their own AI model, owning about 2% of the company.
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This means the people who already own Anthropic will retain
Load full transcript
control even as an outside investors pour all the money into the capital itself.
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So they're so not only are they trying to go public, but they're trying to go public with a new twist that says that they will still have the super voting shares.
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How is that a new twist?
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Isn't that what everybody wants to do?
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No, no, no, no.
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No, well, well, well, I mean, I'm sure every company wants to do that.
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But most of the time when the companies go public, again, their shareholders whoever use the most stock makes the decisions.
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Yep.
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So they're saying even if they don't own the most stock, they would still control the decisions of the company itself.
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So they're they're designing an IPO that says, hey, you're all gonna have shares of this company and you're gonna have voting rights, but we're gonna create super shares for us so that you can't outvote us.
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That is correct.
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So no dropping that guy off the chairman of the board.
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Yeah, I see you can't Sam Altman over there, right?
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So you're gonna continue to be I'm not sure that I'm not sure that makes it a really a public company.
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Well, anthropics listing have real numbers.
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According to the Financial Times, the company could raise around$100 billion as early as October with a public file, so they can earn raise money before they go public at a hundred billion dollars, with a public filing potentially arriving before the end uh of October or even into November.
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They're saying that this will be ten times larger than Porsche's 2022 listing, 17% above SpaceX record in June of this year.
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So AI might not own our lives yet, but they say 90% of America will own a piece after release, uh-huh.
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Yeah, as this company is sure to be part of 401k and retirement plans.
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So all the people hating on AI are all gonna be relying upon this company to be successful for their retirement plans.
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How does that make you feel?
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It doesn't matter.
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It doesn't matter.
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It doesn't matter.
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Do you realize I the the amount of ridiculousness that that we are heading into these days is phenomenal, and I'm glad I'm on the downside of my life cycle.
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But if you put it in maybe all I have to do now is just say I have super shares, and then I'll just vote everybody down all the time wherever I am.
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Well, super shares are gonna be the new big deal.
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Everyone has so anthropic doesn't matter.
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Everybody's gonna do this.
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So you will watch everybody.
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I know this is gonna make this is gonna become this thing that everybody does.
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And I think this is one way that things will start to backfire at some point.
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They maybe even backfire here, because if there is a thing called super shares that nobody can get because they're not privileged enough to have that, that people will start to see the scam in this and be like, no, we're not investing in your company.
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F you.
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Yeah.
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A new superclass, right?
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I mean a new superclass of uh deal.
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You you can you can invest in this company and make the money off of it on the shareholder side, but guess what?
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We're still running it.
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You can do what you want.
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Yeah, go away.
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All right.
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Well, I'm sure story number two is a much brighter light in today's uh story.
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No, no, because you know, I always seem to get all the stories that talk about AI.
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Uh-oh.
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What do you have here?
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Uh well, we already know that Waymo has made inroads into Nevada's street system, right?
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Yep, yeah, we have.
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Yep.
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Nevada's robo taxi approval marks another step towards AI-run workforce.
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Nevada has officially opened the door to one of the largest autonomous vehicle deployments in US history.
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And for many human drivers, it feels like another sign that AI is quietly taking over the world.
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Yeah.
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I I don't think it's quiet.
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I don't think so.
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It is, right?
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Just Yeah.
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Just PSA.
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Yeah.
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AI is taking over the world, and it's not quiet.
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It's not quiet, and it's not slowing down.
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And it's not slowing down.
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And at some point somebody's gonna step in the dog dew.
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The Nevada Transportation Authority has unanimously approved permits allowing Tesla, Uber, and Waymo to roll out up to 8,000 robotaxis across Clark County over the next year.
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Tesla alone was cleared for 5,000 cyber cabs, while Waymo and Uber each received approval for 1,000 autonomous vehicles.
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Wow.
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Yeah.
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At least we know who Vegas prefers.
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It was uh not not a 3-2 vote, not a split vote, not a close decision vote, but a unanimous vote to do this.
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Okay.
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Well, I just feel bad for this one.
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Zooks.
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Yeah.
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They get a hundred.
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They only get a hundred out of this whole thing.
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I don't even know what a zooks is, but uh I wonder if all these uh autonomous companies are all gonna be bought out.
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No, no, no.
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These autonomous cars, you know, we're always reporting on how Waymo like has all these weird glitches and does things.
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I wonder if these cross-reference each other in some manner.
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Some AI manner.
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Yeah.
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Well, what what if you're crossing the streams, buddy?
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It's crossing the streams.
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And they just keep on stopping.
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That's what I'm talking about.
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That's what I'm talking about.
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You say you got these you got these uh autonomous vehicles running around, and if it identifies another autonomous vehicle, does it run it off the road?
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Right or stop right in front of it so it gets an Iraq.
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That would be that would be some cool programming, actually.
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Uh, even the companies won't admit that they won't hit those numbers.
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Tesla said it would be extremely happy to reach 2,500 vehicles next year, but even half of the approved total would transform Las Vegas into the one of the largest robotaxi zones in the country, which I think Mark likes.
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Yeah, he does.
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Mark Garquis loves those little Waymo's.
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Yeah.
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Okay.
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He's a he's a lot, he's a lot He's a Waymo fan.
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Taxi companies and livery operators warn the move is happening too fast.
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No way.
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Okay.
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All right, it's happening too fast.
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No way.
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Uh is anything not happening slow enough?
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Uh no.
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Threatening and it's threatening to oversaturate roads and wipe out an entire workforce of human drivers.
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Nobody cares.
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That's right.
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They point to the already crowded golden triangle near the strip where most autonomous testing occurs and say thousands of robotaxis will only make conditions worse.
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Uber is pushing a hybrid model that keeps human drivers in the mix, but Tesla and Waymo are clearly aiming for full automation, a future where machines dominate the streets and people are pushed aside.
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Nevada may see this as an innovation, but for the workers who rely on driving to survive, it feels like another chapter in a familiar story.
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AI expanding, human shrinking, and a city preparing for a future where the steering wheel no longer belongs to us.
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Okay.
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Well, what do you what do you think about that?
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You know, I don't know if having an opinion about it even matters anymore because it's not gonna stop.
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No.
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No, unless something terrible, I mean something really, really bad happens with all this AI stuff, nobody's gonna be able to regulate it.
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So I kind of interesting though on the strip, because we were in Vegas just recently.
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I was out there on a trip and uh for a little vacation time, right?
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So I went down there, um, had a good time, a little gambling, a little bit of tables, a little bit of shows.
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Did you take a Waymo?
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Um, no, but they had those other taxis.
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I think those were the zoos taxis that were going up and down the street, and uh they were empty.
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So most of the time we looked over to them, they were empty and nobody was in there.
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And it was like a free service that you could actually use the free autonomous vehicle and nobody was actually in there.
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Nobody's using it.
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No.
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Nathan, let me just point out they actually only have certain stops that they make, they're kind of like a bus.
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They only have to pick them up at a certain spot and they only drop at a certain spot, unlike a Waymo or something that'll take you to whatever your destination is.
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You have to like get on and get off at a certain spot.
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You have to walk to a zoo out.
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So that's in today's society.
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We can't walk to like a bus stop or anything like that.
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That's too much work.
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All right,
story number two.
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I'm telling you.
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All right.
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Hey, I I got I got some good news here.
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Do you?
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Yeah.
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Do you remember the old uh streaming service or well, no, not streaming service, but kind of like social media service called Vine?
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Do you remember that back in the day?
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Oh, yeah, yeah.
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Okay, well, guess what?
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There's a new launch that just came on out.
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It's called D-Vine, and it launches six-second comeback for human-made video.
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So familiar format from the early days of social media is making a comeback this week.
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A new short-form video app called Divine was officially open to the public, and many have already called it the successor to Vine, the platform that defined looping six-second comedy clicks and helped launch the careers of Jake Paul and King Bach.
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The Vine founder and former Twitter employees say the goal isn't just nostalgia.
00:13:38.799 --> 00:13:42.080
He believes social media needs what he calls a reset.
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Everyone is sick and tired of seeing videos and not knowing whether they're real, pointing to the rise of AI generated content across major platforms.
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To address that, Divine has taken the strongest anti-AI stance in the industry.
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The app bans all AI generated video, and users must record clips live inside their own app.
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Then you upload it.
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There's no edits, no synthetic filters, no added uh animation.
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It is just six seconds with their verification tool called proof mode, which attacks metadata to that video, puts it up, and lets users see the six seconds.
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Now, the Vine isn't just reviving a format, it's also reviving the entire archive.
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More than 2.5 million original Vine videos have been restored and added to the app, including classics like I Can't Believe You Done This and Hi, Welcome to Chili's.
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Libraries expected to draw major longtime fans who remember Vine's peak when it boosted more than 200 million monthly active users before shutting down in 2017.
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The app also has notable support backing.
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Twitter co-founder Jack Dorsey is also supporting the project.
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Yeah, okay.
00:14:54.960 --> 00:14:56.000
So here's what we got.
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That's that's somebody we should be listening to.
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Well, I know.
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He's tried a bunch of apps that haven't worked, and I don't think he works very hard, is what this sounds like.
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It sounds like he puts his name on something and doesn't do anything.
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What's that?
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I really don't think, I really don't think.
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I I think they should just shelve it before it even launches.
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Okay, Nick has an idea here.
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What Nick, what do you what are you thinking on this?
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Well, I mean, the two words Jake Paul alone should kill this thing.
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Just throwing that out there.
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Okay.
00:15:23.279 --> 00:15:32.559
And and if you're really thinking about this, we already have memories like goldfish, thanks to short form videos and and lowered attention spans in social media.
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We don't need this.
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You don't need this?
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I really don't.
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I'm sorry.
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No, no, this this isn't a reset.
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This is uh this is a stupid I need to make some profits, so I'm gonna pretend like I'm doing something real.
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How much do you think though a Vine Library costs, though?
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So clearly the guy bought Divine and he bought the Vine Library.
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So I mean that's what he bought the that's kind of like buying a whole bunch of you know old-time computer discs and not being able to sell them.
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Wow.
00:15:59.600 --> 00:16:05.360
I have somebody that wants to buy all my 5,000 boxes of of floppy discs.
00:16:05.600 --> 00:16:06.000
All right.
00:16:06.080 --> 00:16:08.480
So uh Nick Espinosa did not like this idea.
00:16:08.559 --> 00:16:10.159
I we'll see if Mark likes this idea.
00:16:10.240 --> 00:16:14.879
I think Mark, you know, six seconds for a human loot, maybe just right up his alley there.
00:16:15.200 --> 00:16:15.360
All right.
00:16:15.679 --> 00:16:19.120
Maybe I'm just too sm snarky this morning, but I think that's a stupid idea.
00:16:19.600 --> 00:16:20.080
You don't like it.
00:16:20.159 --> 00:16:22.960
Okay, well, that is our top technology stories of the week.
00:16:23.519 --> 00:16:25.360
No, no divine for Mike.
00:16:25.440 --> 00:16:30.080
Uh yeah, yeah, you won't see me rushing to put that on my phone.
00:16:30.320 --> 00:16:30.960
Oh, okay.
00:16:31.039 --> 00:16:34.799
Well, up next, we have Nick Espinoza from Security Fanatics.
00:16:34.879 --> 00:16:37.679
So we want to see you after this commercial break.
00:16:38.000 --> 00:16:41.840
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00:17:33.599 --> 00:17:37.759
Our weekly show covers the top technology subjects without any political agenda.
00:17:37.920 --> 00:17:42.960
We verify the facts, we do a sense of humor in less than 60 minutes, of course, with a little whiskey on the side.
00:17:43.200 --> 00:17:43.839
You okay there?
00:17:44.480 --> 00:17:46.480
You like my old nostalgic uh radio voice?
00:17:46.640 --> 00:17:46.880
No.
00:17:47.039 --> 00:17:47.200
No.
00:17:47.279 --> 00:17:47.680
Oh, okay.
00:17:47.759 --> 00:17:50.640
Well, about as good as I think about Divine's gonna be.
00:17:50.880 --> 00:17:54.559
Okay, well, today, Mark Gregoire, our whiskey connoisseur, is in studio.
00:17:54.640 --> 00:17:55.839
Well, no, he's not in studio.
00:17:55.920 --> 00:17:56.720
He's he's remote.
00:17:57.359 --> 00:17:59.759
There, here we go.
00:17:59.920 --> 00:18:00.319
All right.
00:18:00.480 --> 00:18:04.880
Uh Mark, are are you are you still coming to us from this side of the uh the pond?
00:18:04.960 --> 00:18:06.400
Or are are you are you over?
00:18:07.599 --> 00:18:11.519
I'm uh still I'm still in Oregon, McMinnville, hanging out in wine country.
00:18:11.759 --> 00:18:12.640
Hanging out in wine country.
00:18:12.799 --> 00:18:12.960
All right.
00:18:13.039 --> 00:18:13.279
You know what?
00:18:13.599 --> 00:18:15.119
You're drinking a little bourbon, of course.
00:18:15.279 --> 00:18:16.079
Drinking a little bourbon.
00:18:16.160 --> 00:18:19.519
Well, you're gonna need to tell us about what we are drinking today.
00:18:19.839 --> 00:18:25.920
Today you are drinking the Bardstown single barrel, barrel strength, Kentucky Straight Bourbon.
00:18:26.559 --> 00:18:28.079
Let me tell you a little something about it.
00:18:28.160 --> 00:18:29.920
This is from Bardstown's website.
00:18:30.160 --> 00:18:41.279
Bardstown Bourbon Single Barrel Bourbon is a bespoke offering presenting the world's highest-rated bourbon at cast strength, sourced from a hand-selected barrels across the rick houses.
00:18:41.599 --> 00:18:44.960
Each selection features unique sensory characteristics.
00:18:47.200 --> 00:18:51.119
Single barrel bourbon burst with robust and complex flavors.
00:18:51.359 --> 00:18:55.440
Now they're showcasing the quality and dedication they put into every barrel.
00:18:55.680 --> 00:19:09.200
It's a 36% rye, is a classic bourbon profile, an extra burst of spice featuring flavors of apricot, orange blossom, cinnamon, caramel, vanilla, and baking spices.
00:19:09.680 --> 00:19:12.160
So they have a lot to say about their whiskey there.
00:19:12.880 --> 00:19:14.960
So I'll just tell you a little bit of the stats.
00:19:15.039 --> 00:19:21.519
So this is from Lofted Spirits, which owns Bardstown's Bourbon Company, which the distillery is in Bardstown, Kentucky.
00:19:21.599 --> 00:19:24.480
It's a straight bourbon, as they mentioned, six plus years.
00:19:24.720 --> 00:19:28.640
This one comes in at 120.8 proof.
00:19:28.960 --> 00:19:34.559
It's 60% corn, 36% rye, and 4% malted barley.
00:19:34.720 --> 00:19:38.799
And just like what last week's Bardstown, this one was$81.
00:19:39.680 --> 00:19:42.160
I kind of like last week's a little bit better, in my opinion.
00:19:42.319 --> 00:19:44.960
I I don't know how you even can compare that.
00:19:45.359 --> 00:19:46.000
You can't?
00:19:46.319 --> 00:19:46.480
No.
00:19:47.359 --> 00:19:50.640
Well, I had maybe I had some, maybe I had some a little bit before the show.
00:19:51.039 --> 00:19:54.559
So sometimes there's a little bit.
00:19:55.200 --> 00:19:56.640
You are the cheating man's cheater.
00:19:56.960 --> 00:19:57.519
No, no, no, no.
00:19:57.599 --> 00:19:57.920
Not this.
00:19:58.000 --> 00:20:00.720
Maybe I had the original the one from last week in this one.
00:20:00.880 --> 00:20:02.720
I I I I yeah, I I don't know.
00:20:02.799 --> 00:20:07.359
I I as Mark a little bit less from do you do you have a little bit less from last week for Mike to sample?
00:20:07.839 --> 00:20:08.079
I did not.
00:20:08.160 --> 00:20:08.880
I finished the Dobbs.
00:20:09.200 --> 00:20:10.400
No, he finished the bottle.
00:20:10.640 --> 00:20:11.839
I did a bottle kill.
00:20:12.960 --> 00:20:16.880
Well, I can already speak with Mike's if he did it, I already know which one he would choose.
00:20:17.200 --> 00:20:18.319
Would he choose this one, you think?
00:20:18.720 --> 00:20:19.599
He would choose this one.
00:20:19.759 --> 00:20:20.079
Okay.
00:20:20.240 --> 00:20:20.880
And I do.
00:20:21.039 --> 00:20:21.599
And he do.
00:20:21.839 --> 00:20:22.079
Okay.
00:20:22.160 --> 00:20:22.480
I don't know.
00:20:22.559 --> 00:20:23.279
I still like the other one.
00:20:23.359 --> 00:20:23.759
I think that's a good one.
00:20:23.920 --> 00:20:27.599
This one, I this one is more, I think, more full-bodied than the last one.
00:20:28.000 --> 00:20:28.160
Okay.
00:20:28.319 --> 00:20:28.480
All right.
00:20:28.559 --> 00:20:29.279
Well, yes.
00:20:29.759 --> 00:20:32.000
Well, I'll tell you more about it in the mumbles.
00:20:32.160 --> 00:20:36.160
And while you guys drink, drink responsibly, heaven can wait.
00:20:36.400 --> 00:20:36.720
All right.
00:20:36.799 --> 00:20:39.920
Well, with our whiskey tasting completed, let's move on to our feature segment.
00:20:40.000
--> 00:20:43.440
Today, our technology expert Nick Espinosa is joining the show.
00:20:43.519 --> 00:20:46.160
He's an expert in cybersecurity network infrastructure.
00:20:46.319 --> 00:20:50.880
He consults with clients ranging from small business to the Fortune 100 level.
00:20:50.960 --> 00:20:51.680
What's up, Mike?
00:20:52.160 --> 00:20:52.400
Nothing.
00:20:52.640 --> 00:20:53.200
You're just laughing.
00:20:53.440 --> 00:20:53.599
All right.
00:20:54.079 --> 00:20:59.599
In 1998, at the age of 19, Nick founded Windy City Networks, which was later acquired in 2015.
00:20:59.680 --> 00:21:07.200
He is then created Security Fanatics, where he serves as a chief security fanatic and our expert correspondent.
00:21:07.359 --> 00:21:09.039
Let's start this next segment.
00:21:10.160 --> 00:21:18.640
Welcome to the segment we call Ask the Experts with our Tech Time Radio expert, Nick Espinosa.
00:21:18.960 --> 00:21:19.200
All right.
00:21:19.599 --> 00:21:20.079
Hi, Nick.
00:21:20.400 --> 00:21:24.480
Tell us a little bit about yourself to all of our new listeners.
00:21:25.039 --> 00:21:25.680
Yes, yes.
00:21:25.839 --> 00:21:28.720
Well, as an old testament prophet, I am Nick Espinoza.
00:21:28.960 --> 00:21:35.200
And uh yeah, I uh I'm with security fanatics, and uh this is my day job, so buckle up, people.
00:21:35.279 --> 00:21:37.039
We're gonna uh talk about some fun stuff.
00:21:37.200 --> 00:21:38.160
So fun stuff.
00:21:38.480 --> 00:21:40.400
How bad is it out there, Nick?
00:21:41.359 --> 00:21:44.400
Well, I'm just glad that I'm in a bunker at the moment.
00:21:44.480 --> 00:21:47.599
Uh, this is where I record my hostage videos if you're watching on YouTube.
00:21:48.000 --> 00:21:51.440
Um, you know, and uh and I'm just I'm feeling safe now.
00:21:51.519 --> 00:21:58.799
Okay now are are are you are you in the United States or are you in the country a little bit to the north?
00:21:59.119 --> 00:21:59.599
At the moment.
00:22:00.079 --> 00:22:04.079
I am in the great white north or true north as uh as uh Canada calls it.
00:22:04.240 --> 00:22:04.400
Okay.
00:22:05.279 --> 00:22:06.079
I'm sitting in Toronto.
00:22:06.240 --> 00:22:06.960
Gotcha in Toronto.
00:22:07.039 --> 00:22:07.200
All right.
00:22:07.279 --> 00:22:07.759
Well, you know what?
00:22:07.839 --> 00:22:08.960
Let's get the floodgates going.
00:22:09.119 --> 00:22:17.920
According to Wired, Flock is now testing a more powerful AI system called OS Investigate with a small group of law enforcement agencies.
00:22:18.160 --> 00:22:21.279
Can you tell us a little bit more about this great detail?
00:22:21.599 --> 00:22:22.160
Yeah, yeah.
00:22:22.319 --> 00:22:25.200
So what we're talking about here is Flock, right?
00:22:25.279 --> 00:22:30.720
And and they have a more powerful AI system, as you just mentioned, called OS Investigate.
00:22:30.880 --> 00:22:36.160
And they are right now demoing this with a whole like a small group of law enforcement agencies.
00:22:36.319 --> 00:22:48.240
Now, Flock says that with this AI, they can essentially combine camera data with arrest records, police reports, 911 dispatch logs, ballistic results, commercial identity databases.
00:22:48.400 --> 00:22:58.319
And so basically, like a license plate now that Flock is taking could then be connected to like a name, an address, telephone numbers, relatives, online accounts, and all of this.
00:22:58.640 --> 00:23:10.079
So here's the thing, because I think the most concerning feature here is that officers don't need like a known person or a plate or even a specific crime to start searching.
00:23:10.240 --> 00:23:16.640
They can just basically supply a location, a flock, a period of time, and look for a pattern of behavior.
00:23:16.720 --> 00:23:19.440
And then it's simply going to produce people that match that.
00:23:19.599 --> 00:23:21.920
So that's absolutely insane to me.
00:23:22.079 --> 00:23:29.119
So, for example, uh, one of the prompts for the AI looks for vehicles that are frequently seen in a neighborhood and then identifies the owners.
00:23:29.279 --> 00:23:37.039
Uh, you know, another one looks for vehicles that have gone to several banks or gas stations or retail locations or travel between two particular cities.
00:23:37.279 --> 00:23:39.519
It can even look for associates as well.
00:23:39.759 --> 00:23:53.920
And so this is insane, quite frankly, because this technology moves basically from police, like it moves policing from investigating known suspects to just generating suspects on mass collected data.
00:23:54.319 --> 00:23:58.319
Everybody is basically observed first, and then the suspicion comes later.
00:23:58.400 --> 00:24:01.519
And that is the defining feature of a surveillance state.
00:24:01.680 --> 00:24:04.160
That is literally what this is building right now.
00:24:04.319 --> 00:24:10.240
And we have seen so many false positives with this where license plates have been incorrectly read.
00:24:10.400 --> 00:24:17.440
We've seen this abused by the police when they're all using flock to like stalk their ex-girlfriends or whatever.
00:24:17.599 --> 00:24:21.359
You know, this is a very, very serious move for this.
00:24:21.440 --> 00:24:26.559
And we've seen a lot of de-flock, a lot of anti-flock stuff happen in the United States.
00:24:26.880 --> 00:24:32.960
But what that just means is that the municipalities are still buying these automatic license plate readers.
00:24:33.039 --> 00:24:36.319
They're just not buying flock brand and trying to fly under the radar.
00:24:36.400 --> 00:24:39.920
So, either way, this is just longitudinally not good.
00:24:40.160 --> 00:24:41.839
So here we are.
00:24:42.640 --> 00:24:43.200
You know what?
00:24:43.359 --> 00:24:50.720
Nothing's worse than having a cop with no time to sitting on down on some like AI prompt and say, hey, let me see anybody that was at this safe way at this time.
00:24:50.799 --> 00:24:51.279
You know what?
00:24:51.440 -->
00:24:51.680
Right.
00:24:51.759 --> 00:24:53.440
Let's let's then track where they're going.
00:24:53.680 --> 00:24:57.119
Let's see if they are speeding, let's see if they went here, if they went there.
00:24:57.599 --> 00:25:04.240
Yeah, so I I could see this becoming like my obsession with mid-journey when it first came on out with uh AI stuff.
00:25:04.400 --> 00:25:07.759
You just start typing it in there and seeing what prompts are spitting out different things.
00:25:08.240 --> 00:25:11.039
How does that correspond to entrapment laws?
00:25:11.839 --> 00:25:18.880
So I think this is interesting because we are kind of this is almost extrajudicial right now.
00:25:19.039 --> 00:25:27.200
So I don't know how these entrapment, I don't know how an entrapment law would work here, only in the sense that it does feel like entrapment.
00:25:27.440 --> 00:25:29.680
So I'll give you an example of this.
00:25:29.920 --> 00:25:53.440
If I'm driving in my car and I happen to be following or paralleling, let's say, a car with a criminal in it that they are interested in, the law enforcement is interested in, and we take a very similar path most of the way, I now become an associate potentially that the AI generates to say, well, this car is following or next to the car, the suspect car, therefore they may be associated.
00:25:53.519 --> 00:25:55.759
Now I'm being pulled into an investigation.
00:25:56.000 --> 00:26:05.279
And so I don't know how you necessarily make an entrapment case, so much as it is the data points to things that may not necessarily indicate the truth.
00:26:05.519 --> 00:26:10.720
And so I guess you could consider that entrapment, but it's a it's a longitudinal issue here.
00:26:10.880 --> 00:26:35.200
Because if you think about it, you know, and I I recently did a podcast on this where we don't know for the last 25 years just how much hacking and spyware, uh, you know, utilities for hacking the government is used against our phones and everything else, you know, and and now they don't necessarily need to do that if they can simply track us from point A to point B across you know over 6,000 communities that are running flock cameras.
00:26:35.359 --> 00:26:37.759
So it's it's a big, big concern.
00:26:37.920 --> 00:26:38.640
Oh, it really is.
00:26:38.960 --> 00:26:40.480
Hang on, I gotta take a drink.
00:26:41.119 --> 00:26:43.359
All right, well, why are you having me on, man?
00:26:43.519 --> 00:26:44.000
You know, you know what?
00:26:44.319 --> 00:26:44.960
I'm your excuse.
00:26:45.440 --> 00:26:46.400
It gets better, Mike.
00:26:46.480 --> 00:26:52.480
So I I bet I'm hearing now Apple is considering now to be a double agent.
00:26:52.640 --> 00:27:10.799
Reports are coming out that this great company, Apple, that we love, uh, has trained a large language model specifically for China with support from Alababa, which is their Amazon slash uh large uh provider of uh items there.
00:27:10.960 --> 00:27:12.400
Explain what is this
report?
00:27:12.559 --> 00:27:17.200
I I I didn't know anything about this until uh you sent this over to me and I did some research.
00:27:17.359 --> 00:27:19.440
Where what are we at right now with this?
00:27:19.759 --> 00:27:31.680
Yeah, so I love the fact that Apple, like at CES a few years back, had a giant billboard uh advertisement in Las Vegas that said what goes on in your Apple stays in your Apple as an absolute joke.
00:27:31.920 --> 00:27:33.599
So here's what's happening.
00:27:33.759 --> 00:27:48.400
According to reporting from Reuters, The Verge, and some others, Apple has trained essentially a large language model, aka I specifically for China with support from Alibaba, which, as you just mentioned, is basically their Amazon.
00:27:48.640 --> 00:27:57.839
So Alibaba's Quen model, that's what it's called, is expected to be incorporated into Apple intelligence on compatible Chinese advice uh devices.
00:27:58.000 --> 00:28:08.319
And so China is, for the record, one of Apple's most important markets, but Apple has been losing ground lately to domestic manufacturers such as Huawei.
00:28:08.400 --> 00:28:16.000
That's in part because the US came out and started banning Huawei and other Chinese technologies over fear of spying and surveillance.
00:28:16.160 --> 00:28:22.559
And so China internally has been really pushing their own products, which obviously hinders Apple being an American company.
00:28:22.720 --> 00:28:26.319
And Chinese competitors are already offering integrated AI features.
00:28:26.480 --> 00:28:37.920
So Apple can't, for the record, use the same system that it uses, let's say, in the United States and the rest of the world, because things like ChatGPT, Claude, and other AIs are unavailable in China.
00:28:38.079 --> 00:29:00.799
You know, they have a regulatory review, and essentially the AI that you that you install into China has to basically uh adhere to what they call socialist core values, because China prohibits content that challenges the state power or undermines the socialist system or even damages China's national image, you know, and they consider that a threat.
00:29:00.960 --> 00:29:05.119
National unity is beyond important in a massive authoritarian surveillance state.
00:29:05.279 --> 00:29:07.759
And so you have to have an AI that adheres to that.
00:29:08.000 --> 00:29:18.079
But I think this is like just really terrible uh uh optics for Apple because, you know, they don't just sell themselves as an electronics manufacturer, they sell trust.
00:29:18.319 --> 00:29:20.880
What goes on in your Apple stays in your Apple, right?
00:29:21.039 --> 00:29:30.240
And so their public privacy statement on personal information just doesn't really apply now to probably their largest market given how big China is.
00:29:30.400 --> 00:29:34.640
And so, so I think Apple is very hypocritical here, right?
00:29:34.720 --> 00:29:42.799
So fun, you know, privacy is a fundamental human right, according to them, except where market access requires an entirely different arrangement.
00:29:42.960 --> 00:29:44.000
And here we are.
00:29:44.079 --> 00:29:45.680
So good on you, Apple folks.
00:29:46.000 --> 00:29:46.960
Awesome, awesome.
00:29:47.119 --> 00:29:51.920
You know, in today's world, yeah, hypocrite only is bad when you get caught doing it.
00:29:52.000 --> 00:29:53.519
It it is, you may you know that?
00:29:53.680 --> 00:29:55.359
Yeah, and you know what?
00:29:55.920 --> 00:30:03.680
You can spout stuff out in the news and other things, and it's no big deal because if you just say the wrong thing, you'd be I don't know, I just believe it anyways.
00:30:03.839 --> 00:30:07.519
All right, now your robot vacuum.
00:30:07.839 --> 00:30:12.480
Is this now becoming the creepy guy in the horror movies that's always watching all the cameras?
00:30:12.559 --> 00:30:23.359
So I I have I've seen I saw uh I think it was on Amazon some deal about robot vacuums and how people were watching little cameras that they put in there and they're peeping at people and different stuff.
00:30:23.440 --> 00:30:28.559
And I thought it was kind of funny and and I also thought a little scary, but is this actually really happening?
00:30:28.720 --> 00:30:30.400
Tell me a little bit more about this.
00:30:31.200 --> 00:30:31.759
Yeah, yeah.
00:30:31.839 --> 00:30:37.519
Well, I mean, and if you think about it, those little Roombas or whatever your model is, is that basically a C of sensors.
00:30:37.599 --> 00:30:39.599
It maps your house, it's got cameras.
00:30:39.680 --> 00:30:41.279
Uh, you know, it it can integrate.
00:30:41.359 --> 00:30:51.839
And so the FCC or Federal Uh Communications Commission basically just started banning specific robot vacuums, but not specifically robot vacuums.
00:30:52.000 --> 00:30:53.759
So here's what happened.
00:30:53.839 --> 00:31:01.920
So on July 28th, like a few weeks ago, the FCC added forum-produced advanced robotic devices to what is known as the covered list.
00:31:02.160 --> 00:31:14.240
And so equipment on the covered list cannot normally receive authorization from the FCC that is required for things like wireless products to be imported, marketed, or even sold in the United States.
00:31:14.480 --> 00:31:27.279
And so here's the thing they created a technical definition of what they were looking for, but it was so broad that a lot of ordinary robot vacuums just essentially, you know, are caught up in this.
00:31:27.440 --> 00:31:38.640
You know, and so to be clear, no specific vacuum company has like basically been declared to be conducting espionage here, and the feds are not going to come into your house and seize your Roomba or whatever, you know.
00:31:38.960 --> 00:31:49.759
But this is interesting in the sense that if you look at it, these things are everywhere, including in government buildings where you know they might be mapped the building as it's cleaning up after people, all these things.
00:31:49.920 -->
00:31:56.480
And so, yes, if you look at it, your robot vacuum could potentially be spying for a foreign government.
00:31:56.720 --> 00:31:58.559
And, you know, here we are.
00:31:58.720 --> 00:32:00.319
So outstanding.
00:32:00.640 --> 00:32:00.960
All right.
00:32:01.119 --> 00:32:04.480
So people can use my room but a spy on me.
00:32:04.640 --> 00:32:12.319
Yeah, we're getting to the point where Wi-Fi can be used to sort of sonorize your your place so they can track your movements.
00:32:12.640 --> 00:32:14.240
We've known that for years, though, right?
00:32:14.319 --> 00:32:16.079
It's just wireless is getting better at it.
00:32:16.400 --> 00:32:17.359
That's right, right?
00:32:17.440 --> 00:32:17.759
Yeah.
00:32:18.000 --> 00:32:24.400
Then we got then we got flock cameras that's gonna track you from everywhere you go to everywhere you're going.
00:32:24.559 --> 00:32:25.200
Yeah.
00:32:25.599 --> 00:32:29.200
And then you're gonna go to a building that has Wi-Fi and Roombas.
00:32:29.519 --> 00:32:29.920
Yeah, yeah.
00:32:30.000 --> 00:32:31.039
And and you know what?
00:32:31.200 --> 00:32:32.799
But all of that's okay because United States.
00:32:33.119 --> 00:32:33.839
But it's all okay.
00:32:34.000 --> 00:32:41.680
Yeah, because United Space has spent millions of dollars with our cyber protection companies that we have that are monitoring.
00:32:42.720 --> 00:32:44.319
I forgot people in small bits.
00:32:44.720 --> 00:32:46.319
It's all gonna be run on AI.
00:32:46.799 --> 00:32:47.599
Uh okay.
00:32:48.160 --> 00:32:54.319
So previous administration, uh, and I've said this many times on the radio show, and I'll say it again today.
00:32:54.480 --> 00:33:02.240
The previous administration, not our current president, but the previous administration, I know whether you thought Joe Biden was good or not, didn't make any difference.
00:33:02.960 --> 00:33:09.839
The chief of staff, the chief of staff that did the security initiatives, and and what actually happened was really pretty good.
00:33:09.920 --> 00:33:13.759
It took care of mid-sized businesses, it really helped out the American public.
00:33:14.240 --> 00:33:22.319
But now, what has happened to our cyber shield in the United States over the last year or so, Nick?
00:33:22.400 --> 00:33:24.319
Explain what is going on here.
00:33:25.200 --> 00:33:26.079
Oh Lord.
00:33:26.319 --> 00:33:26.640
Okay.
00:33:27.039 --> 00:33:29.759
So let me start with this.
00:33:30.000 --> 00:33:39.279
Not a fan, obviously, but recently, I'm sure you talked about it on the radio, more than 30 water facilities in Minnesota were reportedly hacked, right?
00:33:39.359 --> 00:33:42.960
And just a matter of days, everybody's with no password, with no password, right?
00:33:43.039 --> 00:33:43.599
With no password.
00:33:43.839 --> 00:33:47.599
Yeah, well, and the Iranians are are, you know, everybody's pointing the finger at them.
00:33:47.680 --> 00:33:49.680
The indicators of compromise look like
them as well.
00:33:49.839 --> 00:34:02.079
But here's the thing while that was happening at the exact same time, the federal agency responsible for helping defend those water systems lost about one-third of its workforce and hundreds of millions of dollars in funding.
00:34:02.400 --> 00:34:09.440
And I actually have colleagues and friends that were working at CISA that that lost their jobs as a result of this.
00:34:09.599 --> 00:34:11.760
This is not for the record government efficiency.
00:34:11.920 --> 00:34:18.079
This is a national security failure that essentially the executive branch created and I'm hoping will reverse.
00:34:18.239 --> 00:34:27.840
So, over the past year, CISA, the cybersecurity and infrastructure security agency, like I said, lost one-third of its workforce through layoffs, buyouts, early retirements, and all of that.
00:34:28.000 --> 00:34:30.880
It lost$300 million from its budget.
00:34:31.199 --> 00:34:40.159
In, you know, so it went from$2.9 billion to 2.6 billion, which quite frankly is way under budget right now, given the vast surface area for attack of the United States.
00:34:40.400 --> 00:34:48.800
And also, thanks to AI, cyber threat is accelerating against infrastructure, and they are cutting literally the shield.
00:34:48.960 --> 00:34:50.320
It's absolutely nuts.
00:34:50.400 --> 00:34:57.440
And so they said that they are promising to rehire like hundreds of their former employees, and that's great.
00:34:57.760 --> 00:35:03.119
But here's the thing like rehiring is not the same as restoring what has actually been lost.
00:35:03.280 --> 00:35:09.119
You know, experienced cybersecurity professionals, you we're like not interchangeable parts here, right?
00:35:09.280 --> 00:35:19.119
So when you've got senior analysts and regional advisors and incident responders and all of this, you know, when they leave, that institutional knowledge goes with them.
00:35:19.199 --> 00:35:24.719
And so you can refill positions, but you don't immediately recreate that trust and that expertise.
00:35:24.880 --> 00:35:28.800
And CISA is beyond important in the United States, not just for the government.
00:35:28.880 --> 00:35:35.119
It's essentially the friendly advisor that helps all businesses, organizations, you know, from small to large.
00:35:35.280 --> 00:35:41.280
It protects, it protects civilian federal networks, it publishes vulnerability warnings, it coordinates incident response.
00:35:41.360 --> 00:35:46.480
They'd even scan you, you know, they'd even give you like vulnerability scans for free.
00:35:46.800 --> 00:35:48.559
And a lot of it got cut.
00:35:48.639 --> 00:35:54.079
And this is a big, big issue for the for the long-term health and national security of the United States.
00:35:54.239 --> 00:35:55.039
It's a huge problem.
00:35:55.280 --> 00:35:59.840
And you know, this impacts all small businesses, which is what is it?
00:35:59.920 --> 00:36:03.280
No, they said that's 80% of America runs on small business.
00:36:03.360 --> 00:36:12.719
I don't know if that's the case anymore, but um I as a small business CTO for the company that we're at, and we're a company under 50 people, right?
00:36:12.800 --> 00:36:15.840
Well, our cybersecurity budget has skyrocketed.
00:36:15.920 --> 00:36:25.280
I mean, we now are at the place where if our machine gets compromised, we have just told our staff you better be backing up your stuff to our cloud data service because we're just nuking your machine and starting over.
00:36:25.519 --> 00:36:28.400
We're not even depending on that, you can't even depend on that anymore.
00:36:28.639 --> 00:36:30.719
Well, we'll be talking about that a little bit here.
00:36:31.199 --> 00:36:33.440
Ask about a PBS station that thought they could.
00:36:33.760 --> 00:36:37.840
Um, but no, uh continuing on, um we we we got a lot of things that we need to work.
00:36:38.079 --> 00:36:44.880
Now, Nick, we could take up another five hours of your time just talking about this stuff, but we want to thank you for coming on our show today.
00:36:44.960 --> 00:36:55.360
What's the one takeaway that get back to drinking that that you would want to send to the listeners out there that they can maybe make impact uh within the week on or the upcoming weeks?
00:36:55.519 --> 00:36:59.519
What what can they do to help uh our cybersecurity?
00:36:59.840 --> 00:37:02.400
Become BFFs with your local liquor store guy.
00:37:02.559 --> 00:37:04.639
Like that's that's part of it.
00:37:06.000 --> 00:37:08.000
Yeah, just be just be aware.
00:37:08.159 --> 00:37:09.760
Just be aware of these things.
00:37:09.840 --> 00:37:15.039
And and uh like I always say, you have to create a filter of distrust in your technological life.
00:37:15.119 --> 00:37:16.320
It's our biggest problem.
00:37:16.559 --> 00:37:18.400
So double check that email.
00:37:18.480 --> 00:37:24.320
You know, make sure that you're logging into the right site if you're going to wherever you're going, you know, all those different kinds of things.
00:37:24.480 --> 00:37:27.920
Just just don't trust until you verified.
00:37:28.079 --> 00:37:28.480
That's right.
00:37:28.559 --> 00:37:31.440
And that's that's just the basic, basic of it all.
00:37:31.599 --> 00:37:33.599
Okay it used to be trust and verify.
00:37:33.679 --> 00:37:34.880
Now it should be don't trust.
00:37:35.119 --> 00:37:37.920
Yeah, see, I I've already I'm already way ahead of all you people.
00:37:38.079 --> 00:37:38.719
What's that?
00:37:38.880 --> 00:37:42.960
Doesn't I don't trust any of this, but I'm gonna go home right now.
00:37:43.119 --> 00:37:47.119
I'm gonna go home right now and activate my room button and smile at it.
00:37:47.440 --> 00:37:48.079
Smile at it.
00:37:48.239 --> 00:37:48.480
Okay.
00:37:48.639 --> 00:37:49.360
All right, okay.
00:37:49.440 --> 00:37:51.599
Well, Nick, thank you so much for joining the show.
00:37:51.760 --> 00:37:53.679
Uh, you can always connect with Nick.
00:37:53.760 --> 00:37:56.559
Where else online can they find you information about you, Nick?
00:37:56.880 --> 00:37:57.280
Yeah, yeah.
00:37:57.360 --> 00:38:01.199
I mean, LinkedIn slash Nick Espinoza, uh, YouTube slash Nick Espinoza.
00:38:01.440 --> 00:38:04.400
Uh, you can follow me on pretty much any of the socials except for TikTok.
00:38:04.480 --> 00:38:05.599
So except for TikTok.
00:38:05.760 --> 00:38:06.159
You know what?
00:38:06.239 --> 00:38:10.800
We always thank Nick for being a part of our show, but we now need to move on to our exciting segment.
00:38:10.880 --> 00:38:12.800
We call Mike the AI guy.
00:38:14.960 --> 00:38:17.360
We have the grumpy guy in the world.
00:38:38.079 --> 00:38:48.559
Well, if it wasn't bad enough that AI is is kicking out drivers in L in Las Vegas, yeah, uh, it's now teaching your children.
00:38:48.880 --> 00:38:49.280
Uh-oh.
00:38:49.519 --> 00:38:50.239
What do you mean?
00:38:50.480 --> 00:38:51.519
And guess what?
00:38:51.679 --> 00:38:51.920
What?
00:38:52.079 --> 00:38:54.400
We've reached the peak of AI stupidity.
00:38:54.559 --> 00:38:54.880
Uh-oh.
00:38:55.840 --> 00:38:59.840
We're talking about DEF CON 1 levels of digital dumbness.
00:39:00.719 --> 00:39:10.400
Because a middle school in Kentucky, bless their hearts, just handed out an agenda where the state of Kentucky was labeled Vanicke.
00:39:10.800 --> 00:39:11.360
Vanicki.
00:39:11.599 --> 00:39:11.920
Yes.
00:39:12.079 --> 00:39:12.320
Okay.
00:39:12.639 --> 00:39:13.280
Vanicki.
00:39:13.920 --> 00:39:18.400
Not Kentucky, it's not a typo, it's not a smudge, it's Vanicki.
00:39:19.039 --> 00:39:30.320
The AI that generated this map pack it, pack its bags, moved out, started freestyling geography like it was drunk at a karaoke bar.
00:39:30.800 --> 00:39:31.280
Alright.
00:39:31.760 --> 00:39:34.079
Okay, so we've seen AI screw up before.
00:39:34.159 --> 00:39:34.320
Yeah.
00:39:34.480 --> 00:39:37.760
We've seen chatbots invent fake court cases for lawyers.
00:39:37.920 --> 00:39:38.159
Yeah.
00:39:38.400 --> 00:39:43.280
We've seen image generators give people 12 fingers at a minimum.
00:39:43.519 --> 00:39:45.760
We've seen robots fall downstairs.
00:39:46.320 --> 00:39:49.440
Uh make cars circle parking lots.
00:39:49.599 --> 00:39:49.760
Yeah.
00:39:50.000 --> 00:39:50.239
Right?
00:39:50.400 --> 00:39:50.639
Yeah.
00:39:51.280 --> 00:39:54.079
But this, yeah, this is art, buddy.
00:39:54.320 --> 00:39:55.679
This is performance.
00:39:56.320 --> 00:40:00.880
This is AI saying, I don't know the US states, but I do know chaos.
00:40:01.199 --> 00:40:02.159
Okay, tell me more.
00:40:02.320 --> 00:40:04.320
Uh Kentucky wasn't the only victim.
00:40:04.559 --> 00:40:05.119
Oh no.
00:40:05.360 --> 00:40:05.599
Uh huh.
00:40:05.840 --> 00:40:07.679
Louisiana became Lukong.
00:40:08.159 --> 00:40:08.719
All right.
00:40:09.039 --> 00:40:11.199
Alabama turned into Alotome.
00:40:11.519 --> 00:40:11.920
Alright.
00:40:12.480 --> 00:40:15.840
Illinois, AI renamed it Vitois.
00:40:16.000 --> 00:40:16.320
Okay.
00:40:16.639 --> 00:40:21.039
Which sounds less like a state, more like a prescription drug with a long list of side effects.
00:40:21.280 --> 00:40:21.679
Alright.
00:40:22.400 --> 00:40:25.920
And the best part, parents are paying for this.
00:40:26.079 --> 00:40:26.800
Alright, what?
00:40:27.280 --> 00:40:28.000
Ten dollars.
00:40:28.400 --> 00:40:33.679
Ten American dollars for an agenda that looks like it was generated by a blender with Wi-Fi.
00:40:34.000 --> 00:40:34.320
Okay.
00:40:34.800 --> 00:40:35.119
Okay.
00:40:35.599 --> 00:40:38.800
So I I I I don't know if you know what this is, actually.
00:40:38.880 --> 00:40:43.280
It's it's an AI generated agenda for the school program.
00:40:43.679 --> 00:40:44.639
Okay, for the school program.
00:40:44.719 --> 00:40:45.039
So this is a good thing.
00:40:45.199 --> 00:40:47.920
It creates maps and pictures and all this other stuff.
00:40:48.079 --> 00:40:50.320
And the students have to buy it, or the parents have to buy it.
00:40:50.639 --> 00:40:51.440
The parents have to buy it.
00:40:51.679 --> 00:40:52.719
Okay, they have to buy it.
00:40:52.880 --> 00:40:53.280
Alright.
00:40:53.840 --> 00:40:58.079
So you open up and the periodic table is just gibberish.
00:40:58.239 --> 00:40:58.559
Okay.
00:40:59.280 --> 00:41:01.039
Pure alphabet soup.
00:41:01.679 --> 00:41:07.760
The moon phase chart, it labeled waning crescent as waning crescent.
00:41:08.400 --> 00:41:08.719
Okay.
00:41:09.920 --> 00:41:11.199
Which sounds like a pastry.
00:41:11.440 --> 00:41:11.840
It does.
00:41:12.239 --> 00:41:13.599
You buy at a gas station.
00:41:14.559 --> 00:41:15.599
Which means it's bad.
00:41:15.679 --> 00:41:16.000
Alright.
00:41:16.159 --> 00:41:17.119
That means it's really bad.
00:41:17.360 --> 00:41:17.679
Okay.
00:41:18.079 --> 00:41:24.159
Uh if AI is going to take over the world, can it at least learn the difference between Kentucky and a Pokemon?
00:41:24.320 --> 00:41:24.719
Alright.
00:41:25.039 --> 00:41:27.599
Because right now we're not being conquered by Skynet.
00:41:28.159 --> 00:41:34.800
We're being conquered by a confused toaster that are teaching our kids something else.
00:41:35.199 --> 00:41:35.599
Alright.
00:41:35.840 --> 00:41:41.199
And imagine trying imagine being a kid trying to learn this place like new math.
00:41:41.360 --> 00:41:41.519
Yeah.
00:41:41.760 --> 00:41:42.000
Right?
00:41:42.480 --> 00:41:43.599
Mom, where's Kentucky?
00:41:43.679 --> 00:41:48.159
Sweeting according to your school agenda somewhere between Tennessee and a fever dream.
00:41:49.360 --> 00:41:50.480
So here's the takeaway.
00:41:51.199 --> 00:41:53.280
AI isn't replacing teachers.
00:41:54.159 --> 00:41:55.760
It isn't replacing schools.
00:41:55.920 --> 00:41:58.000
And it isn't replacing textbooks.
00:41:58.639 --> 00:42:00.719
Can't even replace a map correctly.
00:42:01.760 --> 00:42:10.639
Uh if this is a
future, buckle up because the robot uprising is going to be led by someone that thinks Kentucky is Veneckie and the moon is made of chrysanes.
00:42:12.239 --> 00:42:13.920
So we might this might be a good thing.
00:42:14.800 --> 00:42:15.599
I mean, if you think about it.
00:42:21.920 --> 00:42:22.559
They won't.
00:42:23.840 --> 00:42:27.280
They'll just go to a parking lot and circle and circle around.
00:42:27.440 --> 00:42:30.239
You know, like do you remember that movie Maximum Overdrive?
00:42:30.400 --> 00:42:31.679
I do remember Maximum Overdrive.
00:42:31.920 --> 00:42:37.199
That's kind of that's kind of, you know, what it looks like without without all the death and destruction.
00:42:37.920 --> 00:42:43.440
If you're just gonna circle parking lots, but that was all about like killing people, wasn't it?
00:42:43.679 --> 00:42:53.920
Maximum overdrive, wasn't it about like that was where that was where all the all the computers and stuff took over and and you know tried to murk everybody.
00:42:54.239 --> 00:42:54.880
That's a trying.
00:42:54.960 --> 00:42:58.639
All right, so it was a very it was a Stephen King short story.
00:42:58.960 --> 00:43:08.800
So what this actually tells me is if you live in the state of Kentucky and your kids go to the middle school, they are gonna be the dumbest people in the world because they're gonna learn even worse.
00:43:09.199 --> 00:43:11.360
I'm gonna make a bad joke because I'm from the South.
00:43:11.519 --> 00:43:11.840
Okay.
00:43:12.000 --> 00:43:14.880
But they probably wouldn't even know that they spelled it wrong anyway.
00:43:15.360 --> 00:43:15.840
Wow.
00:43:16.079 --> 00:43:16.400
All right.
00:43:16.480 --> 00:43:18.960
Well, that was Mike AI guy moments.
00:43:19.199 --> 00:43:23.440
Now, though, we have our secret sound, and today we have a winner.
00:43:23.519 --> 00:43:24.800
So let's listen up.
00:43:25.440 --> 00:43:29.760
And now for our secret sound, brought to us by Elite Executive Services.
00:43:29.920 --> 00:43:35.199
Visit TechTimeradio.com and click on the contact page to submit your answer.
00:43:35.519 --> 00:43:37.440
Odie, play that sound.
00:43:42.400 --> 00:43:43.440
And what was it?
00:43:43.519 --> 00:43:47.920
Let's see what the caller called in and left us a voice message.
00:43:48.320 --> 00:43:50.159
Hey, Tech Time Radio team.
00:43:50.480 --> 00:43:53.440
I believe the sound of the week is a metronome.
00:43:54.239 --> 00:43:54.639
Cheers.
00:43:55.280 --> 00:43:57.440
And ding ding ding ding ding.
00:43:57.599 --> 00:43:58.559
That is correct.
00:43:58.639 --> 00:43:59.760
Our winner that sent that.
00:44:00.239 --> 00:44:06.159
In 175 enough to go buy themselves a nice bottle of whiskey.
00:44:06.400 --> 00:44:08.800
The pot will be back next week at 50 bucks.
00:44:08.880 --> 00:44:19.360
So make sure you listen to our secret sound and call in, or always visit us at techtime radio.com and click on the talk back system to leave a voice message.
00:44:19.599 --> 00:44:20.800
Do we have a new secret sound?
00:44:20.960 --> 00:44:22.239
Well, we got a new secret sound next week.
00:44:22.320 --> 00:44:22.800
So we played the next one.
00:44:22.880 --> 00:44:25.440
Oh, next sound next week we'll have a new one starting at 50 bucks.
00:44:25.599 --> 00:44:28.480
Now though, we're gonna take a commercial break when we return.
00:44:28.639 --> 00:44:30.320
We have this weekend technology.
00:44:30.400 --> 00:44:32.000
So enjoy a little whiskey on the side.
00:44:32.239 --> 00:44:32.719
Hey Mike.
00:44:32.880 --> 00:44:33.440
Yeah, what's up?
00:44:34.079 --> 00:44:34.960
Hey, so you know what?
00:44:35.039 --> 00:44:38.159
We need people to start liking our uh social media pages.
00:44:38.320 --> 00:44:43.920
If you like our show, if you really like us, we should use your support on patreon.com.
00:44:44.079 --> 00:44:44.960
Or is it Patreon?
00:44:45.039 --> 00:44:45.920
I think it's Patreon.
00:44:46.079 --> 00:44:46.800
Okay, Patreon.
00:44:46.880 --> 00:44:49.440
If you really like us, you can say I English guy?
00:44:49.760 --> 00:44:50.559
Patreon.com.
00:44:50.719 --> 00:44:52.480
Is it I I butcher the English language?
00:44:52.719 --> 00:44:54.159
You know you butcher the English language.
00:44:54.480 --> 00:44:55.039
So it's all the time.
00:44:55.280 --> 00:44:55.920
It's patreon.
00:44:56.639 --> 00:44:57.519
Patreon.com.
00:44:57.679 --> 00:45:03.360
If you really like if you really like our show, you can subscribe to Patreon.com and help us out.
00:45:03.599 --> 00:45:05.360
Oh, and you can visit us on that Facebook platform.
00:45:05.519 --> 00:45:07.039
You know the one that Zuckerberg owns?
00:45:07.199 --> 00:45:08.480
The one that we always bag on?
00:45:08.639 --> 00:45:10.559
Yeah, you can we're on Facebook too.
00:45:10.719 --> 00:45:11.840
Yeah, like us on Facebook.
00:45:12.079 --> 00:45:13.679
Do you know what our Facebook page is?
00:45:14.000 --> 00:45:14.800
Tech Time Radio.
00:45:14.960 --> 00:45:15.840
At Tech Time Radio.
00:45:16.159 --> 00:45:17.920
You know what there's a there's a trend here.
00:45:18.159 --> 00:45:20.960
It seems to be that there's a trend, and that's Tech Time Radio.
00:45:21.119 --> 00:45:22.719
Or you can even Instagram with us.
00:45:22.960 --> 00:45:24.719
And that's at Tech Time Radio.
00:45:24.880 --> 00:45:25.920
That's at Tech Time Radio.
00:45:26.079 --> 00:45:27.280
Or you can find us on TikTok.
00:45:27.519 --> 00:45:28.639
And it's Tech Time Radio.
00:45:28.800 --> 00:45:30.079
It's at Tech Time Radio.
00:45:30.320 --> 00:45:32.079
Like and subscribe to our social media.
00:45:32.400 --> 00:45:33.039
Like us today.
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We need you to like us.
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Like us and subscribe.
00:45:35.920 --> 00:45:36.320
That's it.
00:45:36.480 --> 00:45:36.800
That's it.
00:45:36.880 --> 00:45:38.159
That's that simple.
00:45:39.599 --> 00:45:45.119
And now let's look back at this week in
technology.
00:45:47.119 --> 00:45:49.599
All right, we're gonna look back at this week in technology.
00:45:49.920 --> 00:45:54.079
Uh, we are going to August 25th, 1999.
00:45:54.639 --> 00:46:01.280
We look back at our 21-year-old Finnish student named Linus Torvols.
00:46:01.599 --> 00:46:10.719
He posted a simple message on an internet news group with comp.os.minix with the subject that read, What would you like to see most in Minix?
00:46:11.199 --> 00:46:26.400
It didn't sound historic, but it was the first public announcement that Trollvos was building its own operating system, one that would soon become known as Linux, the foundation of modern servers, cloud computing, Android phones, supercomputers, and nearly every major tech company's infrastructure.
00:46:27.280 --> 00:46:29.440
Trovos described this as just a hobby.
00:46:29.760 --> 00:46:39.039
It won't be a big and professional system like GNU, but in the meantime, Linux will become the backbone of our open source development.
00:46:39.119 --> 00:46:45.199
Today it powers over 90% of cloud servers, most of the world's fastest supercomputers and billions of devices.
00:46:45.679 --> 00:46:51.519
And of course, it gives us the iconic Linux Penguin mascot introduced in 1996.
00:46:52.000 --> 00:46:55.199
Now, one of the most recognizable symbols in computing.
00:46:56.800 --> 00:46:58.000
That was this week in technology.
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Have you ever wanted to watch some Tech Time history with over 300 plus weekly broadcast spending our six plus years of video podcasts and blog information?
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We're going to take a commercial break here.
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When we return, we have the Mark Mumble whiskey review.
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See you after the break.
00:47:14.719 --> 00:47:16.480
How to See a Man About a Dog.
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It combines darkly comic short stories, powerful poems, and pulp fiction prose to create a heartbreaking and hilarious journey readers will not soon forget.
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Read How to See a Man About a Dog, collected writings for free with Kindle Unlimited.
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Ebook available on Kindle, print copies available on Amazon The Book Pository, and more.
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The segment we've been waiting all week for, Mark's Whiskey Mumble.
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I wanted to come on that last beat.
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You're coming in on the last beat there.
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Alright, okay.
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Well, what do we have for our mumble today here, Mark?
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Well, before we get to the mumble, let's celebrate today.
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August 25th.
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Yeah.
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Hopefully you're all gonna have a sip of it today.
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Okay.
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Was it National Coffee Day?
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No, no, nothing, nothing like that.
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It's National Whiskey Sour Day.
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Whiskey Sour Day.
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Okay.
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All right, I'm gonna do that.
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Yeah, so we have something to use the whiskey for.
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So today we are celebrating that classic combination of whiskey, lemon, and sugar that convinces generations of people that adding fruit to whiskey makes it practically practically a healthy drink.
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Now, what makes this bottle interesting, that's essentially like their barrel strength single barrel version of the Bartown's original series bourbon.
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Both use the same mash bill, and they're both aged six years, but the regular origin is bottled at 96 proof, while this one that you are drinking comes straight from the barrel at 120.8.
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Now Bartown calls the original series a ground a great foundation for a premium craft car cocktail.
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And I agree.
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So use the 96 proof for the whiskey sour and leave this one that you're drinking alone.
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This one belongs in the glass neat, at least for me.
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Mike understands that.
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You know what?
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I I I think I might.
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Whiskey and technology are such a great pairing.
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Like looking at the mirror, insane.
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Dang, I'm good looking.
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We are failing forward.
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Let's now move to our technology fail of the week.
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Congratulations.
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You're a failure.
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Oh, I failed.
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Did I?
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Yes.
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Did I?
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Yes.
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Alright, well, we're not failing quite as bad as 9 PBS in St.
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Louis, as they just lost 70 years of history because a local cloud provider went out of business.
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9PBS in St.
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Louis is fighting to recover 70 years of historic footage after its cloud storage provider, open source storage, allegedly cut off access overnight and basically vanished.
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They went out of business.
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You know what?
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It kills me when some of these places use like these local providers and then they don't stay up with them.
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So open source storage aside, see you later.
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We're closing business.
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And guess what?
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Anybody that had storage with us, you're out of luck.
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We're taking our 50 terabytes of irreplaceable archives, the great flood of 1993, COVID-19 coverage, eat St.
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Louis history all locked away on servers that PBS can't touch.
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So this is the problem for digitizing records.
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Well, it kind of is.
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The data, though, is physically sitting inside an Iron Mountain facility, but Iron Mountain says it can't release it because OSS technically owns the hardware.
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The OSS, meanwhile, is defunct, unresponsive, and listed as delinquent with the state.
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The judge has now ordered Iron Mountain to hand over, though, the physical devices, which means nothing.
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So the judge, this is a smart judge here, all right.
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He says, you know what, go hand over those hard drives over to the to the PBS station.
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They need to have those hard drives.
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Well, these hard drives are in some RAID configuration that only works within the machine itself with software that probably has it secure.
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So so handing over a drive to me is like handing over a frisbee.
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You're not going to get any more data off a frisbee than you're going to get off of these discs without having if it's a Tron Frisbee.
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Okay.
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So they have 30 days to find a former OSS worker or any other third party to extract the data without corrupting anything.
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So this week's technology fails, judges and PBS station and people trusting the cloud.
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Here's the problem, though.
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You can't fault PBS for trusting the cloud because oh, it's the best thing ever.
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You you're we're gonna be able to do so much with this, you can trust it.
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And then you can go to Vineki to get to get directions to go to Vishwa.
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That's right.
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All right.
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Well, that was this week's technology fail.
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Now though, we're gonna we got a great Nathan Nugget.
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This is your Nugget of the Week.
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I gotta get to this story, otherwise, it's gonna keep on coming up on our submissions.
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Uh as our as our production meetings go, uh, if you have a story, you can keep on submitting it.
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And then some of these stories have been submitted weeks
after weeks after weeks after weeks after weeks after weeks after weeks.
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And finally, they hit the show.
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Alright, Torn Oil built a 40 gram drone that hunts mosquitoes using missile style sonar, which is already wild to begin with.
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Attracts bugs midair, intercepts them, and even scored its first air-to-kill by killing a moth right out of the sky.
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Cute, right?
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The drones protect up to five acres, fly for three minutes, auto-recharges, and cost about eleven hundred dollars a day.
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Maybe a few hundred if it was in mass production.
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So the nugget is right now this drone of places is killing.
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I can spend eleven hundred bucks, right?
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Yeah.
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To buy a drone that can go out and kill mosquitoes.
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Yes.
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This is cool.
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This is cool.
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Let's now move to our pick of the day whiskey tastings.
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And now our pick of the day for our whiskey tastings.
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Let's see what bubbles to the top.
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All right.
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What bubbles to the top?
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Nathan, that was the best Nathan nugget in months that you've had.
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That was so interesting.
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I wonder who submitted that.
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Yeah, who's the one that submitted this?
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For a couple hundred bucks, that's worth it.
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That's better than all the other stuff Nathan buys on Kickstarter.
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Okay, wow.
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And doesn't get?
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Wow, okay.
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All right.
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So thumbs up or thumbs down.
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We're drinking Barstown single barrel, barrel strength, Kentucky Straight Bourbon.
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It is six plus years old, 120.8 proof,$81.
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All right, thumbs up.
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Yeah, it's a thumbs up.
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Not as good as last week's, but definitely good.
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All right.
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Well, guess what, guys?
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We're about out of time.
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We want to thank the listeners who are part of our show each and every week.
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They visit us at techtime radio.com.
00:53:58.320 --> 00:54:11.519
Make sure you click on be a caller, ask us a question on technology and our talk back system, or when we get our new uh uh item up there for our secret sound, you can leave that to remember it's an honor to be the host of today's show.
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Each week we're here to decode the technology that shapes our world, one breach breakthrough, and bourbon at a time.
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Guess what?
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If we're gonna log off and you gotta go talk to your mirror.
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Remember, the science of tomorrow starts with the technology of today.
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See you next week.
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Later.
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Bye-bye.
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Thanks for joining us on Tech Time Radio.
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We hope that you had a chance to have that hmm moment today in technology.
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From all of us at Tech Time Radio, remember Mum's the Word.
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Have a safe and fantastic week.