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The “robot future” is not coming quietly, it is showing up as bans, backlash, and battles over who controls the machines that will run warehouses, factories, and daily life. We kick things off with a big move from the FCC to block future imports of foreign-made humanoid robots and quadruped robots, citing national security risks like surveillance, data collection, and remote control. Then we ask the uncomfortable question: is this about safety, or about buying time in a trillion-dollar AI robotics race where China already leads production?
From there, the story gets weirdly personal. A school district tries to bring a humanoid robot into the classroom as a teaching assistant, and the community reaction is instant and loud. We talk cost, optics, student privacy, and why “it will not connect to the internet” is not the same as “it cannot.” If education needs help, what kind of tech actually supports teachers instead of replacing trust with a gadget?
We also dig into policy that looks strong on paper but collapses in real life, with Australia’s under-16 social media ban failing under weak age checks and easy workarounds. And we highlight a professor’s clever AI cheating trap that exposes a bigger issue than plagiarism: students skipping the habit of reading and verifying their own work. We close with a sobering cybersecurity fail involving attacks on water facilities, plus our whiskey tasting and the most absurd $57,000 “AI luxury pillow” you will ever hear about.
If you like sharp tech news with humor and plain-English analysis, subscribe, share the episode, and leave us a review so more listeners can find the show.
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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, hmm.
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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.
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Our co-host here in the studio, Mike Rede, is the award-winning author, human behavior expert, and world famous Mike the AI guy.
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Okay.
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All right.
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You know what?
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We have people all across the globe that listen to our deal, and they all now know Mike the AI guy.
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Right.
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All right.
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We're live streaming.
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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 and become a Patreon supporter at patreon.com forward slash techtime radio.
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We're friends from 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.
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What are we having on today's show?
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We have the award-winning game show.
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All right.
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Two truths and a lie is back.
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All right.
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Nothing better than that.
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We have some stories that are going to make you go, mm-mm, mm-mm.
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And we got some interesting information to talk about, of course, with our government.
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Now what?
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Well, we're going to talk about talk government.
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Well, we're going to be talking a little bit about our government in China.
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They're kind of at a little bit of a war with each other right now.
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So we're going to kind of talk about that a little bit and see what we got going on.
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And of course, we have our standard futures, including this week in technology, our technology fail of the week, and a possible Nathan Nugget, and of course our pick of the day whiskey tasting to see if our selected whiskey pick gets zero, one or two thumbs up by the end of the show.
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But now 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, story number one.
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Today's top story is the global robot wars.
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Begin, and America makes the first move.
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Today we're opening with a story that could reshape the future of AI robotics and global power.
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The United States has taken a dramatic step.
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One that the analyst says marks the first official punch in what's already being called the global robot war.
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Now the FCC has moved to block foreign-made humanoid and quadruple robots, which quadruped uh quadruped.
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Quadruped.
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Quadruped.
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Quadruped, which are essentially four-legged.
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Four-legged, or it also includes the track system.
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So if it has a track system on it that runs on those, as you see in Terminator 2, that also is a part of that terminology, also.
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Okay, so just want to make sure we're staying clear with the.
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How about you like track lighting?
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You're talking about actual on the robots.
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All right.
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Citing national security threats and the risk of foreign intelligent infiltration.
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With a sweeping move and massive implications for America innovation, we now go to our remote reporter Jennifer Merrick for more on this.
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Thanks, Nathan.
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The FCC's new order bans future imports of foreign-made humanoid and quadruped robots, placing them on the agency's covered list unless they receive special exemptions.
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Existing approved robots can still be sold, but any new models from overseas, especially from China, which dominates global robot production, are now effectively blocked.
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The FCC says these machines pose unacceptable national security risks, including data collection, surveillance potential, and remote commandeering.
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China has already condemned the move and warned of countermeasures.
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Now back to the studio.
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All right, let's dig into what this really means.
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Because the FCC frames this as a national security shield, um that they can then kind of create their own rules, but this is a trillion dollar race for AI on robotics.
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Now China ships 90% of the humanoid robotics just last year.
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Their companies include three of the major global leaders.
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So what does this ban really do to protect Americans?
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Or is it really protecting American companies from a competitor that's already winning?
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That's kind of the question.
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Now, you know what I think it is?
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What?
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I think that we are in a big trouble because if China retaliates, US robotic firms could lose access to critical components.
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What if China right now and all these companies decide that they're no longer doing updates for these robots?
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Guess what they do?
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What?
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They stop, they can they can they can stop working.
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They should they could have they can stop.
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They should watch the movie, they should move watch the movie uh iRobot, and then they can update it to, you know, like take over the whole United States.
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But what happens at the end of iRobot?
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They shut all the computers, uh the all the droids down, right?
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They all stop working.
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No, they get they get they get reset.
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They get reset to factory and uh end up in a basically a concentration camp for robots.
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Okay, so so that is okay, so that could absolutely happen here.
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What if China decides to reset all these robots that are out there working right now?
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What's gonna happen to Amazon?
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You know what's gonna happen to work.
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What's gonna happen to these large companies?
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That might that might uh have we might shed some light on that in the second story here.
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Okay, well, it's interesting.
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Here's what people are saying about it.
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Paul Miller from Forester says the U.S.
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wants to shield domestic robot makers and prevent foreign censor platforms from operating near critical infrastructure.
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Well, that makes sense because these robots have access normally to everything, they're seeing everything uh in a factory floor.
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They don't want them probably to be spying on that.
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Now, China's Ministry of Commerce calls the ban a discriminatory and an overreach of national security.
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This is kind of where I keep on struggling with that.
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Yeah, but here's the problem, right?
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We get almost all of our electronic and battery technology from China, right?
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China, Japan, yep.
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Yeah, so if we start playing with that, we're just gonna lose access to the components that we need to do this.
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Now, what about all the memory we need to run all of our AI devices?
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That's all being manufactured in China, too.
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That's what I'm saying.
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So uh, you know, this is just one of those, this is just one of those.
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It feels like sort of a saber rattling thing about, you know, technique.
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Okay, but so this isn't about robots dancing to malls or delivering packages, it's about US and China fighting for who's gonna own the AI-powered machines.
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And China is significantly ahead.
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Um I'm gonna have to hire somebody with an iPad to come over with a remote control Roomba.
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Well, no, but just think of that.
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If you're an Amazon or Ford and you have these automated systems and these robots, they're gonna have to go and hire real American people again.
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No way.
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This is this is a crisis to be horrible.
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This is a crisis to our nation.
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People would have jobs, people would get jobs.
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No, we can't have that happen.
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So I'm sure there will be some type of compromise.
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Sure.
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All right, and story number one.
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You you really want to hear number two?
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What do we have for story number two?
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What would happen if you walked into a school and were greeted by a sex bot?
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A sex bot?
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Yeah.
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Uh if I walked into a school like a high school or a college or or or uh, you know, I don't know.
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Probably I think there was uh movies made in the 80s about this.
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Yeah, school district pauses a plan to deploy a humanoid robot in class after the public's outcry.
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Who's shocked about this?
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Uh I don't know what we got.
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Uh, you know, we've been talking about this for months about how we're shoving, we're trying to shove all these humanoid robots into things, and somebody's trying to put it into a classroom.
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Okay.
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And it blew up in their face.
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That kind of makes sense.
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School district in Western New York has officially slammed the brakes on its plan to deploy a robotics humanoid robot named Sally as a teaching assistant.
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And yes, that robotics, the company that spent years insisting his robots are not sex dolls, while the internet collectively raises its eyebrow.
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Now, before anyone panics, the district says the robot was supposed to help with STEM and art classes.
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But just increase like 3x.
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Yeah.
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Okay.
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I don't know.
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But when parents saw the photos, you know, the silicon skin, the dazed expression, and the Halloween clearance bin wig.
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Okay, yeah.
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The community responded exactly the way you expect.
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Absolutely not.
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What is this thing and why is it in a school?
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Okay.
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And honestly, can you blame them?
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Realbotics LLC keeps insisting they're totally sess separate from their sister company, Intima LLC, which happens to own RealDoll, which is one of the biggest sex robot manufacturers on the planet.
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Totally separate, no crossover, no shared tech, no shared staff.
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Just, you know, the same holding company.
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Okay.
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Uh and this is the the part where I get to say, you know, I told you so.
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Because the second you start doing this, you mix human order robots, AI, and a corporate family tree that looks like it was drawn by someone hiding evidence.
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You're going to get public outrage and you're going to get it facts.
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Facts are the district plans to use Sally as a as an actual classroom assistant because the robot cost$57,000.
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How much?
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$57,000.
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$57,000.
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Yeah.
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For a for a robot.
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For a robot.
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So couldn't you hire like two assistants for like$30K each?
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Well, considering teachers nationwide are underpaid and thousands of positions are unfilled, this is one of the ways they are trying to figure this out.
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Uh I don't think that's really a reason for why those positions are unfilled, but hey, okay, you know.
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So Sally supposedly can generate lessons, translate a hundred plus languages like C3PO, and prompt teachers if they lose their place.
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Okay.
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Uh RealBot claims that Sally will not hallucinate facts and will say I don't know instead, which yeah, we all know that's not gonna happen.
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They also say Sally won't be connected to the internet in order to protect student data.
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Really?
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You're telling me no student after school is gonna go plug in that bot and any and get an update?
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Yeah.
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After after the public, right?
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These are the smart kids.
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So the smart kids are gonna say.
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Oh, just wait.
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Just wait.
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All right, just wait to see what happens, right?
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After the public backlash, the district paused the deployment.
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Look, uh, schools need tech literacy, yeah.
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Students will use AI anyway to their detriment, and teachers need that support.
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But replacing human educators with a silicone android that looks like it wandered out of a tech convention after being plugged in backwards, that's desperation.
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Let's be real, this isn't happening because robots are suddenly great teachers, it's happening because districts are broke, teachers are burned out, and someone convinced the superintendent that a fifty-seven thousand dollar robot with a wig was a good idea.
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So, yes, the district says Sally will never replace teachers.
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But based on the rollout, the optics and the backlash, Sally won't be replacing anything, except maybe the superintendent's peace of mind.
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And who knows, maybe Sally will go home with the superintendent.
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Alright.
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So what do you think about having uh an Android teach you?
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I'm I don't have an and I'm not I no.
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No?
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Oh you don't want an Android ever teaching anybody?
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No.
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Okay.
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No.
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No.
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I would like to fix the education system so that you know teachers get paid well.
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That would be nice.
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Okay.
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But hey, you know, I'm just uh I'm just an old grumpy guy who remembers the good old days when we didn't have all these weird problems.
00:12:47.360 --> 00:12:49.759
Uh we had yeah, we I'm sure we had weird stuff.
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Hey, you know, things might be looking up because if uh America has fired the first shot in the robot wars and China retaliates by not doing this, then you know, that whole that whole humanoid robot thing will solve itself.
00:13:05.360 --> 00:13:06.559
Today is all about robots.
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We've got a lot of robot stories.
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It's pretty fun.
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There we go.
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All right, okay, so that's that's that.
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Well, that's that.
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All right.
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Well, story number three.
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This is gonna make you uh feel even better about yourself.
00:13:16.080 --> 00:13:20.559
Most Australian teens still are on social media after the three-month ban.
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Remember, we talked about this ban?
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You actually had this story.
00:13:24.320 --> 00:13:26.960
Australian regulators are facing a stark reality.
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The country's under 16 social media ban isn't working.
00:13:31.440 --> 00:13:41.840
A new e-safety report shows that more than 81% of kids as ages 10 through 15 are still on social media platforms, just three months after the law took effect.
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Now remember, this is a countrywide law.
00:13:45.039 --> 00:13:49.200
Yeah, if you're uh 15 or under, you cannot be on social media.
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They just they just did that.
00:13:50.960 --> 00:13:58.159
So now, even more concerning about half says the platforms never check their age, allow them to keep or easily recreate accounts.
00:13:58.399 --> 00:14:08.000
The ban was designed to drastically reduce teens social media, forces platforms to implement real age checks and boost offline activity, but none of that has happened.
00:14:08.159 --> 00:14:16.159
Teens stayed online, platforms rarely enforce the rules, parents became less aware of their kids' habits, and offline life didn't change a bit.
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Now, Australia has passed the rule, but the enforcement never followed through.
00:14:20.480 --> 00:14:30.559
It's got weak age assurance systems were the primary failure, and many teams simply listed themselves as 16 or older and were incorrectly flagged as that.
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Despite the ban.
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Do you see why I'm the grumpiest guy on the internet?
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So you see why.
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I do see that.
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Despite the ban, the studio found no meaningful increase in offline activities like sports, arts, and community events.
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So this did not work.
00:14:44.720 --> 00:14:52.240
But millions of dollars were spent to create a countrywide ban where teens who violate it are not punished, nor are the parents.
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The legal responsibility falls entirely on the platforms that are not in that country.
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So there are no ban.
00:14:59.279 --> 00:15:02.480
I mean, it's really tough for you to say, oh, we're gonna ban Facebook.
00:15:02.559 --> 00:15:02.960
We're gonna ban.
00:15:03.360 --> 00:15:05.679
You know, they do this in North Korea, and I think it works.
00:15:07.279 --> 00:15:12.799
Well, yeah, I guess if you if you get rid of everything and create your own rules and laws, I guess that would work.
00:15:13.039 --> 00:15:14.240
So here's where we're at.
00:15:14.399 --> 00:15:30.080
If you're a country or a state or any legislator that thinks that you can change your teenage kids in your country by imposing a law with no penalties other than please don't do it, guess what?
00:15:30.240 --> 00:15:33.200
That just opens the door for people to do it even more aggressively.
00:15:33.360 --> 00:15:36.399
Is that is that is that the Nathan Mum human behavior expert?
00:15:36.799 --> 00:15:40.080
That is well, that is the human well, that's what the stats are telling.
00:15:40.159 --> 00:15:42.000
I'm not even making that up.
00:15:42.159 --> 00:15:46.480
More people are on social media now with the band than they were previously.
00:15:46.639 --> 00:15:52.080
So you spend millions of dollars to say that you're gonna ban something to get more people to do it.
00:15:53.120 --> 00:15:54.879
Why would you have spent any money at all?
00:15:55.039 --> 00:15:56.960
Why would you have even made it an issue?
00:15:57.279 --> 00:16:02.159
Um, I'm going to say something that I'm often quoted by the AI as saying a lot.
00:16:02.399 --> 00:16:02.639
Okay.
00:16:02.879 --> 00:16:03.440
People are stupid.
00:16:03.600 --> 00:16:04.320
No, people are stupid.
00:16:05.039 --> 00:16:05.600
All right, okay.
00:16:05.759 --> 00:16:08.960
Well, that ends our top technology stories of the week.
00:16:09.120 --> 00:16:11.679
Next, though, we have the game show that is sweeping the nation.
00:16:12.000 --> 00:16:15.519
Where you, the listening audience, have a chance to outdo our studio.
00:16:16.080 --> 00:16:21.039
But we're gonna hit 88 miles per hour as we head off to our next segment.
00:16:21.279 --> 00:16:22.960
See after the commercial break.
00:16:23.279 --> 00:16:27.120
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00:17:13.359 --> 00:17:16.559
All right, welcome back to Tech Time with Nate the Mum.
00:17:16.720 --> 00:17:20.480
Our weekly show covers technology subjects without any political agenda.
00:17:20.640 --> 00:17:24.079
We verify the fact, we do it with a sense of humor, and of course, with a little whiskey on the side.
00:17:24.160 --> 00:17:27.599
Today, Mark Gregoire, our whiskey connoisseur, is not in the studio.
00:17:27.839 --> 00:17:28.160
You know what?
00:17:28.240 --> 00:17:37.119
We're just gonna now say on this reading uh Mark is joining us remotely, and then when he's in the studio, it'll be like, Wow, he's in the studio today.
00:17:37.279 --> 00:17:38.880
So a big party then.
00:17:39.039 --> 00:17:40.000
That would be a big party.
00:17:40.240 --> 00:17:40.559
All right.
00:17:40.640 --> 00:17:44.880
What have you chosen for us to do or to sip today?
00:17:45.200 --> 00:17:56.400
Well, today you guys are using the 2025 Flavor Whiskey Evan Calendar, which is the 24 remarkable whiskeys we are using for our year-long blind whiskey competition.
00:17:56.640 --> 00:18:01.119
So our listeners are listening in to see which one Nathan and Mike like best for the year.
00:18:01.279 --> 00:18:02.960
So everybody come along for the ride.
00:18:03.039 --> 00:18:10.720
We do this once a month while they uncover new tastes and try and train for the second year of their senses to become true connoisseurs.
00:18:10.880 --> 00:18:16.240
Now, today is round two, two of three, where they're going to choose the winner to move on.
00:18:16.319 --> 00:18:19.119
If they disagree, I get the lucky deciding vote.
00:18:19.279 --> 00:18:21.279
So hopefully they disagree.
00:18:21.759 --> 00:18:22.160
All right.
00:18:22.400 --> 00:18:24.319
Now, let me tell you about these two whiskeys.
00:18:24.640 --> 00:18:24.880
Okay.
00:18:25.519 --> 00:18:34.559
So today you are tasting two whiskies that come from very different corners of the world, and they take two very different approaches to bending the rules.
00:18:34.640 --> 00:18:46.559
Now, the first blends whiskey with spirits that include components from nearly a century old, meaning part of what is in the glass predates television and nearly all of Nathan's pop culture references.
00:18:48.160 --> 00:18:59.279
The second comes from one of the world's fastest growing whiskey regions and uses an unusual combination of woods intended to create layers of sweetness, spice, and savory character.
00:18:59.599 --> 00:19:04.079
So today's blind tasting is simply about which approach Nathan and Mike enjoy more.
00:19:04.160 --> 00:19:08.240
So everybody stay tuned later in the show to see which one moves on.
00:19:08.960 --> 00:19:09.519
All right.
00:19:09.680 --> 00:19:10.799
Well, thank you so much.
00:19:10.880 --> 00:19:12.319
I I really uh I like it.
00:19:12.480 --> 00:19:13.759
So give the viewers a little hint.
00:19:13.839 --> 00:19:15.440
One of them is isn't number one.
00:19:15.599 --> 00:19:17.119
I think one is number sixteen.
00:19:17.279 --> 00:19:18.079
Is that correct?
00:19:18.319 --> 00:19:20.319
Uh one is sixteen and one is ten.
00:19:21.440 --> 00:19:21.759
No.
00:19:22.799 --> 00:19:23.440
What?
00:19:23.839 --> 00:19:24.720
That's not correct.
00:19:25.279 --> 00:19:25.839
That's not correct.
00:19:26.240 --> 00:19:28.000
That's a zero one one zero.
00:19:28.240 --> 00:19:28.960
Oh, it's a zero one.
00:19:29.119 --> 00:19:30.000
It's it's it's zero one.
00:19:30.079 --> 00:19:30.559
Okay, it's one.
00:19:30.640 --> 00:19:33.519
It's one I'm looking at it upside down and I saw it's a little bit.
00:19:33.759 --> 00:19:34.880
Numbers, numbers are difficult.
00:19:35.039 --> 00:19:35.920
We understand.
00:19:37.519 --> 00:19:39.200
The English language numbers.
00:19:39.359 --> 00:19:40.720
You know, just just basically.
00:19:40.880 --> 00:19:41.680
You're not batting a thousand.
00:19:41.920 --> 00:19:42.559
Come on, buddy.
00:19:42.799 --> 00:19:49.279
For for a technology person, zeros and ones, that's what we but but you look at it though, it can look like 10 from the side there, right?
00:19:49.599 --> 00:19:50.880
It can look like a 10.
00:19:51.599 --> 00:19:51.839
Sure.
00:19:52.000 --> 00:19:54.240
If you need it to look like a 10, it looked like a 10.
00:19:54.720 --> 00:19:56.400
One and 16 for our listeners.
00:19:56.480 --> 00:19:58.480
Which one are you leaning towards right now, Nathan?
00:19:58.720 --> 00:19:59.759
Um, absolutely.
00:19:59.920 --> 00:20:00.640
This was one.
00:20:00.799 --> 00:20:02.960
So uh one is like huge.
00:20:03.359 --> 00:20:04.160
16.
00:20:05.119 --> 00:20:07.680
Uh yeah, I don't even know if I like 16.
00:20:07.759 --> 00:20:11.759
So that might may have been a pick that I voted down and maybe you guys overrode me.
00:20:11.839 --> 00:20:12.880
Is that what happened on that one?
00:20:12.960 --> 00:20:13.279
I don't know.
00:20:13.359 --> 00:20:14.640
I don't like 16 at all.
00:20:14.960 --> 00:20:15.759
I'll tell you later.
00:20:15.920 --> 00:20:18.000
Mike, what are you leaning towards?
00:20:18.319 --> 00:20:28.079
Um, I think I might have to take the fifth on that because it's matching up with El Paladot over here.
00:20:28.240 --> 00:20:28.480
Uh uh.
00:20:29.200 --> 00:20:29.920
Very interesting.
00:20:30.000 --> 00:20:31.200
This is very interesting.
00:20:31.279 --> 00:20:32.799
So, Mike, don't feel bad.
00:20:33.039 --> 00:20:33.359
Okay.
00:20:33.519 --> 00:20:34.880
Oh, that was a hint from Mark.
00:20:34.960 --> 00:20:35.440
Did you hear that?
00:20:36.079 --> 00:20:40.880
No, I mean the the shot glass, the one in the shot glass has a really good flavor burst.
00:20:41.119 --> 00:20:41.920
It does, it does.
00:20:42.079 --> 00:20:44.000
And it doesn't have too big of a bite either.
00:20:44.240 --> 00:20:48.559
But it has a lingering taste, and the other one kind of tastes like the other one's very plain.
00:20:48.799 --> 00:20:49.359
Plain.
00:20:49.680 --> 00:20:54.160
Well, as you guys drink, drink responsibly, because heaven can wait.
00:20:54.319 --> 00:20:54.559
All right.
00:20:54.640 --> 00:20:56.720
Well, with our whiskey tasting completed, let's move on.
00:20:56.799 --> 00:20:58.000
Don't go anywhere, Mark.
00:20:58.319 --> 00:21:00.880
Oh, let's move on to our feature segment.
00:21:00.960 --> 00:21:04.720
Today we bring back the world's hottest game sweep in the nation.
00:21:04.880 --> 00:21:07.200
It's tech, it's trivia, it's all out fun.
00:21:07.359 --> 00:21:09.039
Let's start the next segment.
00:21:09.519 --> 00:21:13.039
And now we have two truths and a lie.
00:21:13.759 --> 00:21:14.400
All right.
00:21:14.640 --> 00:21:23.039
As we do this, I'm gonna read three articles, and you guys are gonna try to pick out which one of these is completely false and which one of the other two are true.
00:21:23.119 --> 00:21:26.160
Now, you cannot look at the internet, you cannot be scrolling, yeah.
00:21:26.319 --> 00:21:27.359
Everything has to be down.
00:21:27.519 --> 00:21:29.200
You are just listening to the story.
00:21:29.279 --> 00:21:35.440
This is gonna be interesting because we have Tracy at behind our board, so she's now gonna get a chance to listen to this too.
00:21:35.680 --> 00:21:37.680
Mike and Mark, here we go.
00:21:37.839 --> 00:21:42.079
Story number one as Nathan refines his AI prompting skills.
00:21:42.319 --> 00:21:49.839
All right, story number one Snapchat pushes back on AI, spotlights new prioritized human creators.
00:21:50.079 --> 00:21:59.759
Snapchat is making a major shift in how content gets posted on its service and spotlight feed announcing that human made videos will now be prioritized over fully.
00:22:00.240 --> 00:22:01.519
AI generated content.
00:22:01.599 --> 00:22:10.400
The company says the change is designed to protect originality, improve viewer experience, and ensure real creators, not automated content mills, get rewarded.
00:22:10.640 --> 00:22:17.200
Starting this month, fully AI generated videos will no longer be recommended on Spotlight and it's no longer eligible for monetization.
00:22:17.359 --> 00:22:25.839
Even if creators disclose that they use AI, Snapchat's updated guidelines make it clear authentic authenticity comes first.
00:22:26.160 --> 00:22:26.960
Authenticity?
00:22:27.200 --> 00:22:28.319
Authenticity comes first.
00:22:28.880 --> 00:22:29.039
Okay.
00:22:29.200 --> 00:22:31.039
The platform isn't banning AI entirely.
00:22:31.119 --> 00:22:35.680
Videos that use Snapchat's own AI editing or enhancing tool will still qualify.
00:22:36.160 --> 00:22:39.440
But they'll carry visible labels that say AI involvement.
00:22:39.759 --> 00:22:49.519
Snap points to a 120% increase in unique spotlight contributors of the past year as evidence that AI creation is overtaking original content.
00:22:49.759 --> 00:22:52.720
Story number one Snapchat pushes back on AI.
00:22:53.680 --> 00:22:58.880
Story number two, Tesla reported is testing its first smartphone, the Model T model.
00:23:00.079 --> 00:23:03.519
Tesla is preparing for one of the biggest tech curveballs of the decade.
00:23:03.680 --> 00:23:13.359
Multiple uh internal leaks suggest the company is quietly testing a prototype smartphone called the Model T Mobile, marking Tesla's first move into the mobile hardware market.
00:23:13.440 --> 00:23:33.440
According to supply chain sources, the device is already in the late stage development and includes several signature Tesla features, including Starlink Optimized Antenna System, Solar Assist Charging Strip, so that you can charge it in the sun or any remote location, a custom Tesla OS designed for AI automation, probably integrated into Grok.
00:23:34.160 --> 00:23:39.359
Deep integration with Tesla vehicles, including biometric unlocking and remote prep.
00:23:40.160 --> 00:23:45.759
A new glass display called Electroglass, rumored to be shatter resistant.
00:23:46.160 --> 00:23:56.720
Early reports say the phone is being produced in a limited pilot running at Tesla's Formont facility that will spend tooling underway at its Texas factory.
00:23:56.880 --> 00:24:08.799
Insiders claim Elon Musk initially dismissed the idea of a Tesla phone, but approved the project after engineers just demonstrated Starlink powered mobile connectivity in the on-device vehicle AI.
00:24:09.119 --> 00:24:10.079
That's story number two.
00:24:10.240 --> 00:24:12.480
Tesla is coming out with a smartphone.
00:24:12.720 --> 00:24:16.319
And story number three: robots are going to the gym.
00:24:16.640 --> 00:24:20.160
Surprising new trend is emerging in the fast-growing robotic industry.
00:24:20.319 --> 00:24:28.720
Before robots ever stepped onto a factory floor or hardware warehouse, many of them are spending time in what they call now robot gyms.
00:24:28.960 --> 00:24:35.039
Huge warehouses are being involved as robotics evolve beyond simple automation into advanced AI-powered systems.
00:24:35.119 --> 00:24:39.680
Developers are discovering that teaching a robot a task is only half the challenge.
00:24:39.759 --> 00:24:44.720
The bigger challenge is preparing it for unpredictable situations it will encounter in the real world.
00:24:44.880 --> 00:24:52.079
To address this, the robotics developers are creating specialized training environments where robots can safely gain experience before deployment.
00:24:52.240 --> 00:25:04.000
Looking much like a military outlier, the robot gym allow machines to practice thousands of scenarios, make mistakes, recover, and learn without disturbing operations and creating safety risks.
00:25:04.240 --> 00:25:11.599
Engineers can expose robots to conditions that might be dangerous, expensive, or simply too rare to recreate during normal testing.
00:25:11.920 --> 00:25:19.759
Industry experts say this approach is becoming increasingly important as the robotics sector shifts into the so-called physical AI systems.
00:25:20.000 --> 00:25:22.880
The concept is similar to flight simulators used by pilots.
00:25:23.039 --> 00:25:33.119
Rather than learning critical lessons during live operation, robots develop experience in controlled environments where failures become valuable training opportunities instead of costly mistakes.
00:25:33.680 --> 00:25:34.640
All right, there we go.
00:25:34.799 --> 00:25:37.440
Robots are going to the gym.
00:25:37.599 --> 00:25:43.599
Tesla's new Model T and Snapchat pushes back on AI.
00:25:43.839 --> 00:25:47.359
Which one of these stories is the lie?
00:25:47.599 --> 00:25:49.440
We're going to start on the board first.
00:25:49.599 --> 00:25:53.680
So, Tracy, which one of these three stories do you think is not true?
00:25:54.480 --> 00:25:56.640
Well, I wasn't really listening.
00:25:57.519 --> 00:25:58.160
Sorry.
00:25:58.480 --> 00:25:58.720
Okay.
00:25:59.440 --> 00:26:00.319
So I really didn't hear the.
00:26:00.720 --> 00:26:02.079
I like this new board operator.
00:26:02.400 --> 00:26:06.880
Yeah, I was sorry, I was working on the board, so I was not paying attention to the very first.
00:26:07.359 --> 00:26:09.119
Snapchat pushes back on AI.
00:26:09.279 --> 00:26:10.079
I I understand.
00:26:10.240 --> 00:26:16.240
So I what I did hear though, I think that um B, Tesla making a phone, is the one that's not real.
00:26:16.480 --> 00:26:17.440
You think it's not real?
00:26:17.519 --> 00:26:17.680
Okay.
00:26:17.839 --> 00:26:18.799
And why is that?
00:26:19.119 --> 00:26:22.000
Um, just because I haven't heard anything.
00:26:22.240 --> 00:26:22.480
Okay.
00:26:22.640 --> 00:26:22.880
All right.
00:26:22.960 --> 00:26:23.599
That's okay though.
00:26:23.680 --> 00:26:23.920
That works.
00:26:24.079 --> 00:26:24.400
That works.
00:26:24.559 --> 00:26:24.799
All right.
00:26:24.880 --> 00:26:25.200
Mark.
00:26:25.279 --> 00:26:26.000
Well, you know what?
00:26:26.480 --> 00:26:27.039
You know what we did this?
00:26:27.440 --> 00:26:31.839
That's a very weighted I uh that statement just does it all right there, I think.
00:26:32.160 --> 00:26:32.640
Yes, does it?
00:26:32.720 --> 00:26:39.279
Okay, you know what's interesting is we had a story on here, what, uh three months ago that was fake, that actually became true.
00:26:39.599 --> 00:26:40.559
So that's what's horrible.
00:26:40.720 --> 00:26:41.039
All right.
00:26:41.200 --> 00:26:42.880
So uh we'll go to you next, Mike.
00:26:42.960 --> 00:26:43.440
What do you say?
00:26:43.680 --> 00:26:47.839
Tesla's phone, Snapchat pushback, or robots going to the gym.
00:26:48.000 --> 00:26:54.319
Okay, well Snapchat pushing back on AI, that that sounds pretty true.
00:26:54.400 --> 00:26:54.559
Okay.
00:26:54.960 --> 00:27:01.519
Because uh everybody is complaining about AI generated crap on social media social media.
00:27:01.680 --> 00:27:03.599
So that's probably true.
00:27:04.400 --> 00:27:12.960
Uh training robots in gyms, I've seen I've seen those facilities, so I'm pretty sure that's that's the the correct one too.
00:27:13.519 --> 00:27:15.680
Uh Tesla making a phone.
00:27:16.480 --> 00:27:22.559
Yeah, that seems a little that seems even outside Elon's weird thought processes.
00:27:22.720 --> 00:27:36.400
So if if there was a phone being developed through any of Elon's companies, I would think it would be Starlink that is developing a phone, not not Tesla, the car company.
00:27:36.640 --> 00:27:37.200
Okay, all right.
00:27:37.359 --> 00:27:38.079
We'll go to Mark.
00:27:38.160 --> 00:27:39.200
Mark, you're up.
00:27:40.160 --> 00:27:41.440
Well, I don't want to disagree.
00:27:41.519 --> 00:27:46.000
So I thought the robots in the gym was a crazy story, but Mike says he's seen them.
00:27:46.079 --> 00:27:48.960
But I was like, that's so crazy, it's gotta be true.
00:27:49.759 --> 00:27:57.519
And then the Snapchat one, um, all the kids are pushing back on AI, so that makes sense.
00:27:57.680 --> 00:27:59.279
They want to keep that demographic.
00:27:59.519 --> 00:27:59.680
Okay.
00:28:00.000 --> 00:28:02.079
Tesla phone actually sounds pretty easy.
00:28:02.400 --> 00:28:09.519
It sounds like something Musk Musk would want to do, you know, especially with like Mike said, the satellite network, kind of corner that, and you can make a Trump phone.
00:28:09.680 --> 00:28:10.799
Yeah, you know?
00:28:11.279 --> 00:28:18.480
So um, but I don't I think this is one of those where the story is gonna become true later.
00:28:18.559 --> 00:28:21.279
But right now, I'm gonna I'm gonna vote for Tesla as the false.
00:28:21.839 --> 00:28:23.039
All three of you guys are correct.
00:28:23.279 --> 00:28:24.319
The Tesla reported.
00:28:24.559 --> 00:28:26.160
Well, you just let it out right away.
00:28:26.480 --> 00:28:27.599
You didn't build up any.
00:28:28.079 --> 00:28:30.559
No, all of all of you are correct, all of you are correct.
00:28:30.799 --> 00:28:33.200
I clearly could not get that.
00:28:33.440 --> 00:28:49.599
Um but let me just tell you, um, there has been rumors that if there was gonna be a phone created, he would want to create it after the Model T is the name of his phone because he enjoys Ford's first Model T is production line type of deal.
00:28:49.839 --> 00:28:53.039
Of course, he would uh he would like Henry Ford.
00:28:53.279 --> 00:28:54.400
So I'll leave it at that.
00:28:54.640 --> 00:28:57.279
Okay, the research on listeners on Henry Ford.
00:28:57.519 --> 00:29:03.440
So this Tesla reported testing phone that today is August 4th, right?
00:29:03.519 --> 00:29:04.559
Today is August 4th.
00:29:04.640 --> 00:29:24.880
I just want to say that we will probably be predicting the future because none of this is real yet, but this all comes from scraped information that I have found regarding the possibility of them building a phone, and it would actually be built by Tesla because they already have the hardware chips as where they would actually have to build it from.
00:29:25.119 --> 00:29:31.680
So I think this is a story yet to come when they do announce a Model T mobile phone.
00:29:31.839 --> 00:29:34.240
You come back to this deal here and we will see it.
00:29:34.319 --> 00:29:36.000
So we'll do it through Snapchat.
00:29:36.160 --> 00:29:37.200
You do it through Snapchat.
00:29:37.440 --> 00:29:38.240
All right, well, guess what?
00:29:38.319 --> 00:29:41.039
You guys all was a 10-year-old.
00:29:41.200 --> 00:29:45.279
I I wonder if if Tracy would have said something else first, would that have swayed your guys' votes?
00:29:45.519 --> 00:29:46.240
No, no, okay.
00:29:46.799 --> 00:29:57.359
No, but the fact the fact that she said, I have not heard anything about it, that was that was just cream on the We know who the uh technology news person is in the house.
00:29:57.519 --> 00:29:58.000
Yeah.
00:29:58.400 --> 00:30:03.759
Because the minute she said that I knew you weren't talking about it, and I knew that that was your little AI prompt.
00:30:03.920 --> 00:30:05.440
Well, robots are going to the gym.
00:30:05.519 --> 00:30:08.480
I figured we'd do robot, robot, robot story that you guys would figure.
00:30:08.720 --> 00:30:12.160
I was trying to figure that you would think that I threw that in there, and then it okay.
00:30:12.480 --> 00:30:12.960
All right, all right.
00:30:13.119 --> 00:30:14.240
Well, let's move on.
00:30:14.559 --> 00:30:15.839
I lost again.
00:30:16.000 --> 00:30:17.440
See, there's logic to that story.
00:30:17.599 --> 00:30:18.720
There's logic to that story.
00:30:18.880 --> 00:30:22.000
Uh do you know more about that story?
00:30:22.079 --> 00:30:24.480
Because that one's I mean, Mike, you said you've seen them.
00:30:24.559 --> 00:30:36.079
I've yeah, yeah, I've seen I've seen I've seen video footage of them training robots in these facilities where they have they have uh setups like like uh obstacle courses and stuff.
00:30:36.319 --> 00:30:36.799
Yep.
00:30:37.200 --> 00:30:41.359
There's like seven different describe it.
00:30:41.599 --> 00:30:45.119
Seven different places you can actually rent to get to put your robots in there.
00:30:45.599 --> 00:30:48.720
Mark, are you saying that you fell for Nathan's strategy?
00:30:49.599 --> 00:30:50.559
Almost.
00:30:51.279 --> 00:30:51.759
Almost.
00:30:51.839 --> 00:30:55.039
But it was the it was the set the one that was way out there in my mind.
00:30:55.200 --> 00:30:56.400
You know, robots in the gym.
00:30:56.480 --> 00:30:56.960
What the heck?
00:30:57.039 --> 00:30:58.559
The other two were just realistic.
00:30:58.799 --> 00:30:58.960
Okay.
00:30:59.279 --> 00:31:05.839
Is this like those places there go where you we saw the videos of the robot going crazy and hitting everything in the whole wide like the room?
00:31:06.240 --> 00:31:06.960
That was the restaurant.
00:31:07.200 --> 00:31:09.039
That was a restaurant in in LA.
00:31:09.279 --> 00:31:10.079
The dancing robot.
00:31:10.960 --> 00:31:12.319
They actually have a bunch of these now.
00:31:12.480 --> 00:31:13.200
These are popping up.
00:31:13.440 --> 00:31:17.519
It's almost as bad as the uh workout trend with the CrossFit things.
00:31:17.599 --> 00:31:20.480
You see these now popping up all over these robot type of deals.
00:31:20.559 --> 00:31:21.519
So all right.
00:31:21.759 --> 00:31:23.039
It's like goat yoga.
00:31:23.200 --> 00:31:23.759
That's right.
00:31:23.920 --> 00:31:24.799
Or hot yoga.
00:31:24.960 --> 00:31:25.759
No goat yoga.
00:31:25.920 --> 00:31:26.960
Oh, goat, goat yoga.
00:31:27.039 --> 00:31:27.920
What is goat yoga?
00:31:28.079 --> 00:31:29.200
They do yoga with goats.
00:31:29.440 --> 00:31:30.000
Are you serious?
00:31:30.160 --> 00:31:30.400
Yes.
00:31:30.559 --> 00:31:30.799
Wow.
00:31:30.960 --> 00:31:34.160
Okay, let's move on now to our favorite segment.
00:31:36.240 --> 00:31:39.839
We have the grumpiest guy in the world coming up.
00:31:58.480 --> 00:32:11.119
Today's story, though, is a masterclass in academic justice, poetic irony, and the kind of student stupidity that makes me want to stand up and salute every teacher that's still fighting the good fight.
00:32:11.359 --> 00:32:11.680
Okay.
00:32:12.640 --> 00:32:31.440
A history professor at Alcorn State hid a secret AI trap in White Font, invisible to humans, but perfectly visible to uh every AI that lazy students use to help them out.
00:32:31.680 --> 00:32:32.079
Alright.
00:32:32.240 --> 00:32:33.119
And guess what?
00:32:33.440 --> 00:32:33.920
What?
00:32:34.160 --> 00:32:47.359
Out of the 35 students that turned in the essays that were assigned, 32 of those 35 students had been uh completely written by AI and not proofread.
00:32:47.519 --> 00:32:51.519
So you're telling me only three students three students actually did the work.
00:32:51.599 --> 00:33:01.839
Now, when we talked about this several years ago, what did I say was going to happen when we started allowing AI into the general population, especially in schools?
00:33:02.079 --> 00:33:10.960
Help remind me uh that they were going to be using it to cheat and it was going to become common practice.
00:33:11.279 --> 00:33:11.599
Okay.
00:33:12.240 --> 00:33:12.640
Hey, Mike.
00:33:15.599 --> 00:33:19.680
We can't prove those three students didn't use AI and cheat.
00:33:19.759 --> 00:33:22.880
They may have just done a little bit of tiny extra work to prove that.
00:33:23.200 --> 00:33:23.599
That's true.
00:33:24.400 --> 00:33:33.680
Well, all they would have had to do is read their paper because what he embedded in there was like the word Madagascar, and he just made it white text so that you couldn't see it with your eye.
00:33:33.839 --> 00:33:34.000
Yeah.
00:33:34.319 --> 00:33:42.880
But the the reports that the kids turned in actually and they had nothing to do with like Madagascar, but they actually like then started talking about it in the reports.
00:33:43.039 --> 00:33:46.480
All you do is read your own report and go, huh, that doesn't make any sense.
00:33:46.640 --> 00:33:46.880
Yep.
00:33:47.039 --> 00:33:49.440
So I'm gonna grump on this.
00:33:49.519 --> 00:33:50.640
This is my grumpy stuff.
00:33:50.799 --> 00:33:51.359
Okay, there you go.
00:33:51.440 --> 00:33:52.720
All right, keep on going, keep on going.
00:33:52.960 --> 00:34:03.759
All right, so 32 of these students turned in essays about the Industrial Revolution, which features random hallucinations about Madagascar, like she said.
00:34:04.000 --> 00:34:09.840
So he put this white text in in the prompts or in the students' uh question.
00:34:10.000 --> 00:34:10.320
Question.
00:34:11.360 --> 00:34:12.000
In the question.
00:34:12.239 --> 00:34:14.719
They kind of pasted it, put it exactly into it.
00:34:15.199 --> 00:34:17.920
Put it into Chat GPT and it kicked us back.
00:34:18.000 --> 00:34:19.840
Now they didn't even proofread it.
00:34:20.079 --> 00:34:21.119
So the other three could have done it.
00:34:21.280 --> 00:34:26.079
The other three could have done it and then proofread it and said, What the heck is this stuff and got it out.
00:34:26.159 --> 00:34:26.320
Okay.
00:34:26.559 --> 00:34:34.559
But the rest of them, the and this is why I I I complain about this because of this type of reason.
00:34:35.039 --> 00:34:35.519
This is our future.
00:34:36.559 --> 00:34:38.079
Yeah, this is our future.
00:34:38.400 --> 00:34:44.719
They're using AI to do the work for them, and they're not even doing the work to make sure the AI did the right job.
00:34:44.880 --> 00:34:45.119
Right?
00:34:45.199 --> 00:34:46.079
Not a glance.
00:34:46.320 --> 00:34:46.480
Okay.
00:34:46.800 --> 00:34:48.960
Pure Olympic level n laziness.
00:34:49.599 --> 00:34:53.920
One essay literally said Madagascar floats sideways through the afternoon.
00:34:54.079 --> 00:34:54.159
Okay.
00:34:54.880 --> 00:35:01.039
And another, the prompt spit out Madagascar purple bicycle whispers to the ceiling.
00:35:01.440 --> 00:35:01.760
Okay.
00:35:02.000 --> 00:35:08.559
And then my personal favorite, Madagascar wore a toaster to a basketball game.
00:35:08.880 --> 00:35:09.280
Alright.
00:35:09.440 --> 00:35:09.760
Okay.
00:35:09.840 --> 00:35:11.039
That makes a lot of sense.
00:35:11.199 --> 00:35:13.519
That's bordering on performance art right there.
00:35:13.679 --> 00:35:14.239
All right.
00:35:14.559 --> 00:35:23.440
Uh Professor Gibson, who set this all up, absolute legend here, calmly explained how he caught them and even let them contest the grade.
00:35:24.400 --> 00:35:25.519
Only two tried.
00:35:25.679 --> 00:35:28.960
The rest basically said, Yeah, the toaster thing knows me.
00:35:29.519 --> 00:35:34.559
Uh these teachers deserve metal statues, heck, even a national holiday.
00:35:34.800 --> 00:35:41.360
Uh, because uh they're fighting AI cheating burnout and students who think proofreading is a hate crime.
00:35:42.400 --> 00:35:46.079
So yeah, this is the problem that we talked about before.
00:35:46.239 --> 00:35:50.639
Academia is struggling, honor codes are collapsing like hard houses.
00:35:50.960 --> 00:35:57.519
Students are out here submitting essays that read like a malfunctioning Roomba, which I have having a fever dream.
00:35:58.079 --> 00:36:07.760
Uh, but today I'm happy to report that we have a win from this one particular teacher who understands AI and how to combat it.
00:36:08.000 --> 00:36:08.320
Okay.
00:36:09.039 --> 00:36:20.000
So uh as we move into the future and students get more lazy, Madagascar will still float sideways through your afternoon, thanks to AI.
00:36:20.639 --> 00:36:22.559
So this I mean, this is really scary.
00:36:22.639 --> 00:36:29.199
I mean I mean uh uh we're at a point now where I mean to proofread it.
00:36:29.440 --> 00:36:29.679
Right.
00:36:29.760 --> 00:36:34.000
This is why I I rarely complain about the actual technology.
00:36:34.159 --> 00:36:34.320
Okay.
00:36:34.559 --> 00:36:38.719
I know it sounds like it because I'm always complaining, but I rarely complain about the technology.
00:36:38.960 --> 00:36:41.119
It's how the technology is used.
00:36:41.360 --> 00:36:41.840
Yeah.
00:36:42.159 --> 00:36:55.039
And this is the one this is one of the places where I really, really have trouble uh keeping my mouth shut because this is where people are supposed to be learning how to learn, not learning how to cheat.
00:36:55.360 --> 00:36:57.920
So that would have taken literally 30 seconds to cut and paste.
00:36:58.000 --> 00:36:59.519
So they they didn't spend any time on it.
00:36:59.840 --> 00:37:03.679
They literally 30 seconds cut and paste, put it on a test, and submit.
00:37:03.920 --> 00:37:06.559
And printed it out and didn't read it.
00:37:06.880 --> 00:37:19.920
What if you're a doctor and you're in medical school and you're using AI to print out medical procedures that you're supposed to know.
00:37:20.480 --> 00:37:24.159
Have you ever seen the TV series Doctor Dead or Doctor Death?
00:37:24.400 --> 00:37:25.119
Yeah, I saw that.
00:37:25.360 --> 00:37:29.920
Yeah, so I mean that was kind of that was pre-AI, but essentially he had no idea what he was doing.
00:37:30.159 --> 00:37:31.840
Yeah, but he you know, he was a con artist.
00:37:32.079 --> 00:37:32.960
So he was a con artist.
00:37:33.119 --> 00:37:37.760
He he made a bunch of diplomas, people thought he was real, and he'd go on in there and had no idea.
00:37:37.920 --> 00:38:01.440
Yeah, I'm not saying that this isn't a this isn't something that happened before, but we're talking we're talking about dangerous precedence that is going to echo out into the future, our future, as these people in these in these classes move into regular life and start working in these fields in which they've been using Chat GPT to cheat in.
00:38:01.760 --> 00:38:08.159
Well, and the other thing is if you take it a step further and think about it, what if they did read it and they went, Oh, Madagascar?
00:38:08.320 --> 00:38:12.159
I guess that must have to do with something with the Industrial Revolution and let it go.
00:38:12.400 --> 00:38:14.239
Like they were not watching.
00:38:16.800 --> 00:38:17.599
That'd be even scarier.
00:38:18.000 --> 00:38:18.159
Right?
00:38:18.320 --> 00:38:19.199
I mean, Madagascar was.
00:38:25.360 --> 00:38:30.559
I guarantee you, somebody in there read it and went, Oh, I guess if Chat GPT knows, it must be in there.
00:38:30.880 --> 00:38:33.519
All right, well that's sad because weren't these college students?
00:38:33.760 --> 00:38:34.559
Yeah, these are college students.
00:38:36.159 --> 00:38:42.159
Acorn University, which is supposed to be a pretty high-end uh I mean, they're a Division I school.
00:38:42.239 --> 00:38:45.840
They have basketball programs.
00:38:45.920 --> 00:38:51.440
They they are uh a small school, but uh a pretty pretty large.
00:38:52.000 --> 00:38:55.440
So I'm here I'm here to say thank you, Professor Gibson.
00:38:55.599 --> 00:38:56.320
Is it Gibson?
00:38:56.559 --> 00:38:57.360
Yep, I think so.
00:38:57.599 --> 00:38:58.480
Thank you, Professor Gibson.
00:38:58.719 --> 00:39:00.480
And watch his videos online, they're pretty funny.
00:39:00.639 --> 00:39:02.639
Uh and he's actually got a lot of other videos too.
00:39:02.800 --> 00:39:05.920
All right, but now we need to move into something secret.
00:39:06.079 --> 00:39:06.559
Shh.
00:39:07.199 --> 00:39:08.960
We're going to our secret sound.
00:39:09.840 --> 00:39:14.079
And now for our secret sound, brought to us by Elite Executive Services.
00:39:14.239 --> 00:39:19.519
Visit TechTimeradio.com and click on the contact page to submit your answer.
00:39:19.840 --> 00:39:21.840
Odie, play that sound.
00:39:27.360 --> 00:39:29.039
All right, do you know what that secret sound is?
00:39:29.119 --> 00:39:30.480
The pot is back at$65.
00:39:30.800 --> 00:39:37.360
So jump online and click on our talk back system or leave us a message at 206-649-6098.
00:39:37.920 --> 00:39:39.920
We have one guest that has submitted.
00:39:40.000 --> 00:39:43.679
Um, so everybody else, this is your chance to jump on.
00:39:43.920 --> 00:39:52.320
Uh, it is not uh Donkey Kong the video game, but that was a nice uh guess that somebody thought maybe it was Donkey Kong jumping on up and something like that.
00:39:52.480 --> 00:39:54.719
Not a video game, it's uh something related to something.
00:39:55.119 --> 00:39:58.880
Okay, if you if you said that that was Donkey Kong, you have never played Donkey Kong.
00:39:59.119 --> 00:40:00.400
Well, okay, well, so okay.
00:40:00.800 --> 00:40:05.599
All right, so remember 206-649-6098.
00:40:05.920 --> 00:40:08.000
Uh, or our talk back system.
00:40:08.159 --> 00:40:09.519
We're gonna take a commercial break here.
00:40:09.599 --> 00:40:12.960
When we return, we have our This Weekend Technology.
00:40:13.119 --> 00:40:14.159
So see you after the break.
00:40:14.400 --> 00:40:14.880
Hey Mike.
00:40:15.039 --> 00:40:15.760
Yeah, what's up?
00:40:15.920 --> 00:40:17.039
Hey, so you know what?
00:40:17.119 --> 00:40:20.239
We need people to start liking our uh social media pages.
00:40:20.400 --> 00:40:26.000
If you like our show, if you really like us, we should use your support on patreon.com.
00:40:26.159 --> 00:40:27.039
Or is it Patreon?
00:40:27.119 --> 00:40:28.000
I think it's Patreon.
00:40:28.159 --> 00:40:28.880
Okay, Patreon.
00:40:28.960 --> 00:40:32.719
If you really like us, you can say I'm the English guy patreon.com.
00:40:33.039 --> 00:40:34.559
I I butcher the English language?
00:40:34.800 --> 00:40:36.239
You know you butcher the English language.
00:40:36.480 --> 00:40:37.119
So it's all the time.
00:40:37.360 --> 00:40:38.000
It's patreon.
00:40:38.719 --> 00:40:39.599
Patreon.com.
00:40:39.760 --> 00:40:45.519
If you really like if you really like our show, you can subscribe to patreon.com and help us out.
00:40:45.679 --> 00:40:47.440
Oh, and you can visit us on that Facebook platform.
00:40:47.599 --> 00:40:49.039
You know the one that Zuckerberg owns?
00:40:49.360 --> 00:40:50.559
The one that we always bag on?
00:40:50.719 --> 00:40:52.639
Yeah, you can we're on Facebook too.
00:40:52.800 --> 00:40:53.920
Yeah, like us on Facebook.
00:40:54.159 --> 00:40:55.760
Do you know what our Facebook page is?
00:40:56.079 --> 00:40:56.880
Tech Time Radio.
00:40:57.039 --> 00:40:57.920
At Tech Time Radio.
00:40:58.239 --> 00:40:58.480
You know what?
00:40:58.559 --> 00:41:00.000
There's a there's a trend here.
00:41:00.239 --> 00:41:03.119
It seems to be that there's a trend, and that's Tech Time Radio.
00:41:03.199 --> 00:41:04.800
Or you can even Instagram with us.
00:41:05.039 --> 00:41:06.880
And that's at Tech Time Radio.
00:41:06.960 --> 00:41:08.000
That's at Tech Time Radio.
00:41:08.159 --> 00:41:09.360
Or you can find us on TikTok.
00:41:09.519 --> 00:41:10.719
And it's Tech Time Radio.
00:41:10.880 --> 00:41:12.159
It's at Tech Time Radio.
00:41:12.480 --> 00:41:14.159
Like and subscribe to our social media.
00:41:14.480 --> 00:41:15.119
Like us today.
00:41:15.199 --> 00:41:16.320
We need you to like us.
00:41:16.480 --> 00:41:17.760
Like us and subscribe.
00:41:18.000 --> 00:41:18.400
That's it.
00:41:18.559 --> 00:41:18.880
That's it.
00:41:18.960 --> 00:41:20.239
That's that simple.
00:41:21.679 --> 00:41:27.280
And now, let's look back at this week in technology.
00:41:28.559 --> 00:41:32.639
All right, we're going all the way in our way back machine to August 4th, 1988.
00:41:32.800 --> 00:41:36.960
A computer shuts down NASA only a few seconds before ignition.
00:41:37.199 --> 00:41:41.679
A computer halts an engine test in preparation for the launch of the Space Shuttle Discovery.
00:41:41.920 --> 00:41:52.559
The shuttle's engine's computerized controls determined that a valve was not closing fast enough and sent a major component failure command from the computer to all three engines, telling them not to fire.
00:41:53.039 --> 00:42:06.320
The test and computer system were a part of NASA's effort to ensure NASA's effort to ensure the safety of Discovery, whose flight would be the first since the Challenger explosion in 1986.
00:42:07.440 --> 00:42:09.599
The real story here is not the shuttle failed to start.
00:42:09.679 --> 00:42:19.119
The story is how the computer successfully prevented humans from launching into every safety question being answered before we take a launch moving forward.
00:42:19.280 --> 00:42:25.920
The computer behind the shuttle was the space shuttle IBM AP-101, a general purpose computer.
00:42:26.719 --> 00:42:35.599
IBM developed these machines specifically for NASA's shuttle program after the incident that happened with Challenger.
00:42:36.000 --> 00:42:40.079
So that was a pretty big incident into our uh NASA program.
00:42:40.159 --> 00:42:51.280
The first versions were designed back in the 70s, but long before modern laptops or smartphones existed, the idea of having this computer shut down any operation was put into place.
00:42:51.519 --> 00:43:01.679
Each continuously continues to compare its answers against each other's as they both run identical software simultaneously in two different platforms.
00:43:01.840 --> 00:43:06.400
If one computer disagrees with the rest, it could be automatically isolated from the system.
00:43:06.559 --> 00:43:16.320
This approach now helps with redundancy, fault tolerance, and was revolutionary for the time and became a model for later aerospace and industrial control systems.
00:43:16.639 --> 00:43:18.079
That was this week in technology.
00:43:18.159 --> 00:43:28.320
If you ever want to watch some Tech Time History with over 300 plus weekly broadcasts spanning our six plus years of video, podcast, blog information, you can visit us at techtimadio.com to watch our older shows.
00:43:28.480 --> 00:43:33.679
And once a week, you get an update on me on technology area in our blog space.
00:43:33.920 --> 00:43:35.920
So we're going to take a commercial break now.
00:43:36.079 --> 00:43:38.559
When we return, we have the Mark Mumble whiskey reveal.
00:43:38.719 --> 00:43:40.000
See you after this break.
00:43:40.320 --> 00:43:41.840
How to see a man about a dog.
00:43:42.159 --> 00:43:49.119
It combines darkly comic short stories, powerful poems, and pulp fiction prose to create a heartbreaking and hilarious journey.
00:43:49.280 --> 00:43:50.880
Readers will not soon forget.
00:43:51.039 --> 00:43:55.840
Read How to See a Man About a Dog collected writings for free with Kindle Unlimited.
00:43:56.079 --> 00:43:59.840
Ebook available on Kindle, print copies available on Amazon, the book podcast.
00:44:05.920 --> 00:44:10.719
The segment we've been waiting all week for Mark's Whiskey Mumble.
00:44:17.440 --> 00:44:18.000
All right.
00:44:18.159 --> 00:44:20.800
Can't wait until I'm back in the studio and we can dance together.
00:44:20.960 --> 00:44:21.280
I know.
00:44:21.360 --> 00:44:22.159
That's so much fun.
00:44:22.320 --> 00:44:22.639
All right.
00:44:24.559 --> 00:44:25.679
What do we got?
00:44:26.960 --> 00:44:28.880
Well, we got today, August 4th.
00:44:28.960 --> 00:44:30.159
What is today?
00:44:30.719 --> 00:44:31.280
You know what?
00:44:31.440 --> 00:44:32.079
What are we celebrating?
00:44:33.280 --> 00:44:33.840
No, you know what?
00:44:33.920 --> 00:44:38.480
I I looked up on my browser this morning and I got a big thing that said National Cookie Day.
00:44:38.639 --> 00:44:41.920
Is it did you do the National Cookie Day?
00:44:42.159 --> 00:44:44.079
Because it came up on my Bing browser.
00:44:44.960 --> 00:44:45.840
Oh, you did not.
00:44:46.079 --> 00:44:46.400
See?
00:44:46.800 --> 00:44:49.360
See how see how he uses AI to cheat?
00:44:49.599 --> 00:44:50.159
No, no, no.
00:44:50.239 --> 00:44:52.480
I have a Bing browser that pops up information.
00:44:52.960 --> 00:44:54.480
We all know about your Bing browser, buddy.
00:44:54.639 --> 00:44:55.440
Okay, I get this.
00:45:01.760 --> 00:45:02.960
It's chocolate chip day.
00:45:03.039 --> 00:45:03.599
Is that what it is?
00:45:03.679 --> 00:45:04.320
Yeah, yeah, yeah.
00:45:04.400 --> 00:45:04.559
Okay.
00:45:04.639 --> 00:45:05.119
But what it was.
00:45:05.360 --> 00:45:09.840
I had a whole thing, a whole joke prepared for this, but your son did not show up today.
00:45:10.079 --> 00:45:10.960
Oh, he did not.
00:45:11.440 --> 00:45:12.159
He's not on the board.
00:45:12.719 --> 00:45:14.079
He's training dogs.
00:45:14.400 --> 00:45:16.079
We'll still celebrate him.
00:45:16.159 --> 00:45:18.159
Today is Hooray for Kids Day.
00:45:18.480 --> 00:45:19.679
Hooray for Kids Day.
00:45:19.840 --> 00:45:20.320
Oh boy.
00:45:20.960 --> 00:45:22.719
That's really a never mind.
00:45:22.880 --> 00:45:24.000
Is that okay?
00:45:24.159 --> 00:45:24.559
All right.
00:45:24.800 --> 00:45:32.079
So today, officially, we celebrate the boundless curiosity, imagination, and the joy children bring into the world.
00:45:32.480 --> 00:45:43.199
It's also a reminder for adults to reconnect with their inner child, ask too many questions, laugh at inappropriate moments, and refuse, like Nathan, to eat anything green.
00:45:43.519 --> 00:45:52.639
So spend some time playing, exploring, and appreciating the wonders of seeing the world before bills, meetings, and software updates ruin everything.
00:45:53.039 --> 00:45:53.360
Okay.
00:45:55.119 --> 00:45:57.199
Professor catchy cheating.
00:45:57.599 --> 00:45:59.440
Everybody is just a bunch of sighs today.
00:45:59.519 --> 00:46:00.960
It's hooray for kids' day.
00:46:01.119 --> 00:46:02.480
Yay! I love kids.
00:46:02.639 --> 00:46:03.760
The best part about kids.
00:46:04.000 --> 00:46:05.440
You know, I have four of them.
00:46:05.599 --> 00:46:08.000
And you know what's the best thing about all four of my kids?
00:46:08.159 --> 00:46:08.639
What's that?
00:46:08.800 --> 00:46:09.679
You're grown up.
00:46:09.840 --> 00:46:10.559
Oh, there you go.
00:46:10.639 --> 00:46:11.280
That that is nice.
00:46:11.440 --> 00:46:21.679
Although then they get they get spouses and and then they get a bunch of other stuff, and then they get all their dogs that they have to train and everything that that goes through with that.
00:46:21.840 --> 00:46:23.360
So all right, okay, continuing on.
00:46:23.519 --> 00:46:24.079
All right.
00:46:24.559 --> 00:46:33.599
Well, since today is all about curiosity and discovery, two qualities children possess naturally and adults occasionally rediscover after a couple of drinks.
00:46:33.920 --> 00:46:37.840
Let's reveal what the two whiskeys behind the blind tasting are.
00:46:38.559 --> 00:46:44.239
So one of them drumroll in no particular order.
00:46:44.719 --> 00:46:53.280
We have Ha See's San Oaks Chinese Whiskey, the black label from Hasi's Distillery in Shanghai, China.
00:46:53.440 --> 00:46:59.599
It's a single malt whiskey, non-age stated, 84-proof, 100% Chinese greens.
00:46:59.840 --> 00:47:02.320
We assume malted barley, and it's$75.
00:47:03.519 --> 00:47:04.400
From China.
00:47:04.719 --> 00:47:08.480
Are they gonna shut down are they gonna shut down their uh whiskey deals with their robots?
00:47:08.719 --> 00:47:10.400
It has nothing to do with robots.
00:47:10.639 --> 00:47:10.880
Okay.
00:47:10.960 --> 00:47:11.920
All right, continue on.
00:47:12.000 --> 00:47:12.159
Okay.
00:47:12.800 --> 00:47:22.559
And the other one is our winner from last year's Flavor calendar, Bakta 1928 rye whiskey from Vermont.
00:47:22.639 --> 00:47:25.840
It's a Finnish rye whiskey, non-age stated, 100 proof.
00:47:25.920 --> 00:47:31.679
It's 60% rye, 30% cavados, and a 10% blend of Armagnac.
00:47:31.760 --> 00:47:32.639
And that's$67.
00:47:33.199 --> 00:47:35.039
So you said that this was last year's sweet.
00:47:35.280 --> 00:47:37.599
So one of these we picked as last year's winner.
00:47:37.840 --> 00:47:40.800
Yeah, and they put it in this year's flavor calendar again.
00:47:41.280 --> 00:47:43.440
Guess which one was which there, Nathan?
00:47:43.679 --> 00:47:45.280
Oh no, now I feel really bad.
00:47:45.360 --> 00:47:47.519
What if we don't pick the one that was the winner?
00:47:47.679 --> 00:47:47.840
No.
00:47:48.639 --> 00:47:56.159
Well, that's okay because you almost voted against the Bakta every single time last year, and so far, closely this year, too.
00:47:56.320 --> 00:47:58.400
Oh no, so I'm kind of vote voting against this.
00:47:58.480 --> 00:48:00.800
Do I change my mind and vote against that's the Chinese?
00:48:01.199 --> 00:48:03.679
Don't change your mind based on what they are, change on what you like.
00:48:03.920 --> 00:48:05.119
I think that's Chinese based right there.
00:48:05.280 --> 00:48:06.000
That's the Chinese one.
00:48:06.159 --> 00:48:06.320
Okay.
00:48:06.559 --> 00:48:07.119
I'm pretty sure.
00:48:07.360 --> 00:48:07.920
You're pretty sure.
00:48:08.079 --> 00:48:08.239
Okay.
00:48:08.320 --> 00:48:08.559
All right.
00:48:09.440 --> 00:48:11.679
I have like this from the beginning, so we'll see.
00:48:11.840 --> 00:48:12.480
All right.
00:48:13.360 --> 00:48:18.559
Well, I can't wait to see at our pick of the day which whiskey we got.
00:48:20.639 --> 00:48:23.920
And what is whiskey and technology like?
00:48:24.400 --> 00:48:26.320
Well, whiskey and technology are such a great pairing.
00:48:26.480 --> 00:48:27.679
Thanks there, Mark.
00:48:28.000 --> 00:48:32.800
Like garage sales and hidden eBay gems.
00:48:33.360 --> 00:48:38.239
So when you go out to a garage sale, you can find that hidden eBay gem and then you can post it on there.
00:48:38.480 --> 00:48:45.599
Or if you need 5,000 different boxes of floppy discs, let me know because you can go to eBay and look for floppy disk.
00:48:46.000 --> 00:48:49.039
Because I still am trying to sell my floppy discs at a unboxing.
00:48:49.360 --> 00:48:50.880
Yeah, I may have found somebody.
00:48:51.039 --> 00:48:53.599
I may have found somebody in like a year or more.
00:48:54.000 --> 00:48:54.960
About a year and a half.
00:48:55.119 --> 00:48:56.159
Yeah, we'll see.
00:48:56.239 --> 00:48:59.280
But it it's gonna be uh a beautiful thing.
00:48:59.440 --> 00:48:59.920
Well, hopefully.
00:49:00.320 --> 00:49:06.400
I thought you were gonna go more like Goodwill and Rare Finds because of the the teenager that was going through.
00:49:06.480 --> 00:49:10.719
I think it was Goodwill, but it was some kind of thrift shop, and you found Will Chamberlain's warm-up jacket there.
00:49:10.960 --> 00:49:11.519
Yeah, yeah.
00:49:11.599 --> 00:49:14.159
You know, you can find some pretty good uh finds if you go there.
00:49:14.239 --> 00:49:16.480
I I feel like that's not Nathan's Forte.
00:49:16.719 --> 00:49:17.119
What's that?
00:49:17.280 --> 00:49:19.039
Goodwill's going to Goodwill.
00:49:19.440 --> 00:49:20.639
Oh, we go I go alive.
00:49:20.800 --> 00:49:21.199
I go a lot.
00:49:21.440 --> 00:49:25.599
I believe that, but you know, you finding rare items there, I'm not pretty good.
00:49:25.840 --> 00:49:26.800
That's where I buy my underwear.
00:49:26.960 --> 00:49:33.039
All right, let's prepare for our technology fail of the week brought to you by Lead Executive Services.
00:49:33.280 --> 00:49:36.320
Technology experts to help you out of a technology fail.
00:49:36.639 --> 00:49:37.920
Congratulations.
00:49:38.079 --> 00:49:39.440
You're a failure.
00:49:39.679 --> 00:49:41.199
Oh, I failed.
00:49:41.280 --> 00:49:41.840
Did I?
00:49:42.079 --> 00:49:42.559
Yes.
00:49:42.800 --> 00:49:43.440
Did I?
00:49:43.679 --> 00:49:44.079
Yes.
00:49:44.400 --> 00:49:44.719
All right.
00:49:44.800 --> 00:49:50.800
This week's technology fail comes to us across the United States, but specifically the state of Minnesota.
00:49:51.039 --> 00:50:01.039
Now, water facilities in seven states were hit by coordinated cyber attacks, knocking out pressure, causing flooding, and locking operators out of their own systems this last year.
00:50:01.360 --> 00:50:10.639
The FBI says hackers broke in through exposed programmic logic controllers, changing passwords and IPs like they own the place.
00:50:10.800 --> 00:50:13.599
And the danger isn't just inconvenience.
00:50:13.760 --> 00:50:19.760
When the pressure drops, untreated groundwater can seep into pipes, turning a cyber attack into a public health threat.
00:50:19.920 --> 00:50:32.400
Minnesota was hit the hardest with over 30 facilities breached in a week, with activity matching early warnings about Iran hacking campaigns, according to internal memos shared with the press.
00:50:32.480 --> 00:50:35.920
Now, federal agencies are urging utility companies to do the basics.
00:50:36.000 --> 00:50:38.239
This is what the federal agency has issued.
00:50:38.559 --> 00:50:38.719
No.
00:50:38.960 --> 00:50:44.000
To create strong passwords, buy a firewall, and lock down internet-facing devices.
00:50:44.159 --> 00:50:48.559
The fact that needs to be said is the technology fail.
00:50:48.880 --> 00:50:53.199
Americans water infrastructure wasn't just attacked, it was wide open.
00:50:53.760 --> 00:50:57.440
Didn't even have password, password one, two, three, or password.
00:50:57.519 --> 00:51:06.000
They had wide open systems that anybody could come into and essentially shut off the water facilities for the state of Minnesota.
00:51:06.559 --> 00:51:13.039
Now how can you I don't even know why you're even doing that?
00:51:13.360 --> 00:51:15.519
Because we all know this is a failure.
00:51:16.320 --> 00:51:23.119
Everybody should everybody in the IT environment for anything with the water treatment or anything in Minnesota should all be fired.
00:51:23.280 --> 00:51:24.960
They should all be let go.
00:51:25.199 --> 00:51:32.719
There is no way that you should have a system that is running your public health safety issues with water with no passwords.
00:51:33.039 --> 00:51:34.639
Enough said, mic drop.
00:51:35.360 --> 00:51:36.559
Those people shouldn't have a job.
00:51:36.719 --> 00:51:37.920
All right, let's move on now.
00:51:38.320 --> 00:51:40.880
That's probably because I use Chat GPT to cheat on everything.
00:51:41.119 --> 00:51:43.599
So then uh let's go to the Nathan Nugget of the Week.
00:51:43.920 --> 00:51:46.480
This is your nugget of the week.
00:51:46.719 --> 00:51:51.440
Well, we've officially reached the point where even bedtime has a luxury tech scandal.
00:51:51.599 --> 00:51:54.400
Now, the thing about it is just isn't expensive.
00:51:54.480 --> 00:51:55.280
This is absurd.
00:51:55.679 --> 00:51:58.000
Let's start with a 3D scan of your head and neck.
00:51:58.159 --> 00:52:00.320
Like you're being fitted in a space helmet.
00:52:00.480 --> 00:52:04.079
Then an AI model builds a digital twin of your sleeping posture.
00:52:04.480 --> 00:52:16.960
A robotic milling machine carves the pillow foam with millimeter precision because apparently your head requires an aerospace grade engineering to develop the best pillow.
00:52:17.119 --> 00:52:23.119
Once the science is done, then they glue on gold, sapphire, and a zipper with four diamonds.
00:52:23.199 --> 00:52:23.679
That's right.
00:52:23.920 --> 00:52:26.880
A diamond zipper for something that you can drool on.
00:52:27.280 --> 00:52:33.039
It arrives in a branded box like you're unboxing a royal artifact instead of a glorified rectangle.
00:52:33.119 --> 00:52:38.719
So, yes, this is the world's most expensive pillow coming in at a cost of$57,000.
00:52:41.360 --> 00:52:41.440
Really?
00:52:43.440 --> 00:52:47.280
Yeah, you could buy you can buy one of those robots for$57,000.
00:52:48.320 --> 00:52:59.440
And I can sleep on that because combining medical imaging, robotics, AI modeling, and gemstones is much more expensive than that$19 pillow at Costco.
00:52:59.679 --> 00:53:01.360
Yeah, if I I don't know.
00:53:02.159 --> 00:53:05.360
So now let's move to our pick of the day whiskey tasting.
00:53:07.039 --> 00:53:10.880
And now our pick of the day for our whiskey tastings.
00:53:11.679 --> 00:53:13.679
Let's see what bubbles to the top.
00:53:13.920 --> 00:53:15.440
Mark, do you got a pillow on order?
00:53:15.840 --> 00:53:17.599
Are you one of the people waiting for that now?
00:53:17.760 --> 00:53:18.159
Six months.
00:53:18.719 --> 00:53:20.320
I need that sleep so bad.
00:53:20.480 --> 00:53:22.079
That'd be beautiful.
00:53:22.320 --> 00:53:25.599
Putting my head down on a gold bar sounds so comfortable.
00:53:26.639 --> 00:53:27.599
Yeah, that's it.
00:53:27.920 --> 00:53:33.679
So you guys have chosen to move on to the third round, the Bakta 1928 rye whiskey.
00:53:34.000 --> 00:53:35.599
Oh okay.
00:53:35.920 --> 00:53:41.440
And that's the one that uh has a hundred-year-old blend of Armagnac in it.
00:53:41.679 --> 00:53:42.000
Okay.
00:53:42.159 --> 00:53:44.480
And that's what we chose last year's winner, right?
00:53:44.719 --> 00:53:45.760
That was last year's winner.
00:53:46.159 --> 00:53:47.840
But I struggle with this sometimes, I guess.
00:53:48.079 --> 00:53:50.800
Maybe I went back and looked.
00:53:50.960 --> 00:53:52.880
Most times you did not vote voted up.
00:53:52.960 --> 00:53:55.599
I had to be Mike, and then I was deciding vote on it.
00:53:55.760 --> 00:53:58.320
Okay, this other stuff was just really, really blah.
00:53:58.400 --> 00:53:59.519
So I don't know how we put that through.
00:53:59.760 --> 00:54:06.800
I don't know why you come you You don't strike me as somebody who uh would come up with blah as being a problem.
00:54:07.039 --> 00:54:10.079
Well, uh normally I like it, but this one actually tasted really good.
00:54:10.159 --> 00:54:10.960
So I, you know what?
00:54:11.039 --> 00:54:15.280
I I I Yeah, I mean they they both had pretty good flavors, but you're right.
00:54:15.360 --> 00:54:16.960
The second one was blah.
00:54:17.519 --> 00:54:22.480
I I wonder if I had some real other bitters because none of these had any uh bitter aftertastes.
00:54:22.559 --> 00:54:26.079
So I wonder if it was going up against some that had a bad aftertaste.
00:54:27.360 --> 00:54:29.599
It's just it's just your roving palette, buddy.
00:54:29.760 --> 00:54:30.800
Okay, my roving palette.
00:54:31.039 --> 00:54:31.360
Oh well.
00:54:31.440 --> 00:54:32.079
Well, guess what?
00:54:32.239 --> 00:54:33.360
We're about out of time.
00:54:33.440 --> 00:54:35.360
We want to thank our listeners for joining the program.
00:54:35.519 --> 00:54:36.880
Listeners, we want to hear from you.
00:54:36.960 --> 00:54:43.360
Visit us at techtime radio.com, click on be a caller, and ask us a technology question in our talk back recording system.
00:54:43.599 --> 00:54:47.440
Remember, the science of tomorrow starts with the technology of today.
00:54:47.599 --> 00:54:48.719
See you next week.
00:54:49.039 --> 00:54:49.679
Later.
00:54:50.000 --> 00:54:50.960
Bye-bye.
00:54:51.679 --> 00:54:53.760
Thanks for joining us on Tech Time Radio.
00:54:53.920 --> 00:54:59.440
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00:54:59.599 --> 00:55:00.960
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00:55:01.119 --> 00:55:10.239
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00:55:26.239 --> 00:55:29.119
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00:55:29.280 --> 00:55:32.719
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00:55:32.880 --> 00:55:34.480
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