Fuld transskription af 320: TechTime Radio: Halloween Gets Real As Cybersecurity Expert Nick Espinosa Joins Us To Explore AI, DNA, Drone Warfare, Election Influence, Cyber Threats, And The Growing Risk Of Human Dependence On Automation | Air Date: 10/27 – 11/2/26

private. 00:03:57.360 --> 00:04:06.879 The company stresses that Carbon X cannot sequence DNA itself, and, like other AI systems, can still make mistakes or generate inaccurate results. 00:04:07.120 --> 00:04:15.280 But the release marks another major step in AI's expansion from understanding human language to understanding the code of life itself. 00:04:15.680 --> 00:04:17.439 I am sure you have more information. 00:04:17.680 --> 00:04:19.759 So let's send it back to the studio. 00:04:21.680 --> 00:04:24.079 Oh moy! All right, thanks, Jennifer. 00:04:24.399 --> 00:04:25.600 Are you gonna do that all day? 00:04:27.600 --> 00:04:28.800 It's me Mario. 00:04:29.279 --> 00:04:42.000 Supporters say it could accelerate breakthroughs in medicine and disease research, but it also raises large concerns about the future of AIs as a machine, making better understanding of our genetic instructions that make life possible. 00:04:42.800 --> 00:04:50.800 Scientists and policy makers will be faced with new questions regarding privacy, security, and how far these tools should be allowed to go. 00:04:51.360 --> 00:04:55.199 What makes Carbon X significant is that it lowers the barrier to understanding DNA. 00:04:55.759 --> 00:05:04.560 Instead of the needing specialized software and years of training to interpret some genetic data, researchers can now just ask questions in plain English and get answers in a second. 00:05:04.800 --> 00:05:06.079 Oh I could hold AI. 00:05:06.319 --> 00:05:15.199 Of course, scientists caution the model could make mistakes or hallucinate information and miss important details, which means human experts remain essential to the process. 00:05:15.759 --> 00:05:23.360 Another concern is whether by simply asking AI questions people are still doing research or merely directing or orchestrating work done on a computer. 00:05:24.079 --> 00:05:26.720 This is becoming one of the biggest questions about AI use. 00:05:27.040 --> 00:05:30.639 Is the human just an overseer or an active participant? 00:05:30.959 --> 00:05:31.279 Nope. 00:05:31.360 --> 00:05:34.480 It's the guy that's training you for your replacement. 00:05:34.800 --> 00:05:35.519 Is that what it is? 00:05:35.680 --> 00:05:36.160 That's right. 00:05:36.399 --> 00:05:50.560 Yeah, well, whether it becomes a breakthrough research tool or simply the first step towards something bigger, Carbon X represents a new milestone for artificial intelligence, moving beyond understanding human language and then beginning to understand the biological language that makes us human. 00:05:51.120 --> 00:05:51.600 There you go. 00:05:51.839 --> 00:05:52.399 There you go. 00:05:53.120 --> 00:05:54.879 You're not scared about this, are you, Mike? 00:05:55.120 --> 00:06:06.560 Yeah, I'm not a genetic researcher, so I'm I'm probably not going to be sitting around my house going, Hey, uh AI, uh create a genetically modified spider that will make me into a superhero. 00:06:07.120 --> 00:06:09.120 You probably

you're not going to ask for that directly. 00:06:09.600 --> 00:06:10.480 You don't think it'll do that? 00:06:10.639 --> 00:06:13.199 But the interesting thing is you can now do it offline. 00:06:13.439 --> 00:06:25.600 So what this means is researchers can take it on their laptop, not have any responsibility or anything on the back end of reporting into a master system, and they could do lots of this um discovery on their own time. 00:06:25.839 --> 00:06:26.720 That's true. 00:06:26.959 --> 00:06:37.920 So it's funny that you would bring up that part instead of the part where they will not be online using sensitive material that could be compromised easily by hackers. 00:06:38.160 --> 00:06:38.399 Okay. 00:06:38.639 --> 00:06:40.240 I guess that's a good I you know what? 00:06:40.319 --> 00:06:42.079 I guess that's a positive point about this, right? 00:06:42.240 --> 00:06:46.639 Because at least if you have it offline, but hey, you don't have to worry about the hackers getting it. 00:06:46.959 --> 00:06:53.519 AI is going to control our lives in every aspect anyway, so we might as well do it on our own computers. 00:06:53.839 --> 00:07:00.800 Well, I'm sure none of this will be used for anything other than just research and development, all being done in the proper requirements. 00:07:01.279 --> 00:07:02.240 Everybody is responsible. 00:07:02.560 --> 00:07:03.279 Yeah, that's right. 00:07:03.360 --> 00:07:03.920 Well, there you go. 00:07:04.000 --> 00:07:06.720 That that that's a good story to start off our Halloween episode. 00:07:07.120 --> 00:07:07.519 Start that off. 00:07:07.680 --> 00:07:10.160 All right, well, yeah, story number two, what do we got? 00:07:10.480 --> 00:07:19.839 Well, you remember it was last week or the week before where we talked about how McDonald's was using AI to track and randomly do pricing? 00:07:20.160 --> 00:07:21.920 I do remember that about two weeks ago, yeah. 00:07:22.079 --> 00:07:22.959 Yeah, well. 00:07:23.519 --> 00:07:24.240 Guess what? 00:07:24.399 --> 00:07:25.199 What's that? 00:07:25.680 --> 00:07:37.120 McDonald's is now in a federal lawsuit and could become one of the biggest test yets of artificial intelligence pricing. 00:07:37.439 --> 00:07:38.399 Okay, tell me more. 00:07:38.639 --> 00:07:47.040 Uh the lawsuit claims that McDonald's operated a centralized AI-powered pricing system that collected sales and pricing data from nearly 14,000 U.S. 00:07:47.199 --> 00:07:47.839 restaurants. 00:07:48.079 --> 00:08:01.759 According to the complaint, the system then analyzed millions of daily transactions and generated pricing recommendations based on customer demand and what customer uh what consumers were willing to pay. 00:08:02.079 --> 00:08:12.560 One example filed in the court filings involves a franchise operator who allegedly accepted an AI recommendation to charge$18 for a Big Mac. 00:08:12.800 --> 00:08:14.560 I think we talked about that in the story. 00:08:14.800 --> 00:08:21.279 The lawsuit argues that as more operators rely on the system's recommendations, the less independent pricing becomes. 00:08:21.360 --> 00:08:24.560 So it has a lot of these franchisees pretty concerned. 00:08:25.680 --> 00:08:44.080 And McDonald's took a playbook page out of the Mark Zuckerberg manual of addressing Congress and denies the allegations altogether, saying that AI does not set menu prices and that franchise owners remain free to accept or reject any recommendation. 00:08:44.320 --> 00:08:45.039 Oh my! 00:08:45.279 --> 00:08:45.919 Oh yeah. 00:08:46.000 --> 00:08:56.639 Yeah, that sounds nice, but that's that's exactly the same thing that you get when your boss says, Hey, you know, you don't need to come to the staff party this week. 00:08:57.360 --> 00:08:59.840 Oh, well, but the expectation is that you should be. 00:09:00.320 --> 00:09:01.519 But what happens when you don't? 00:09:01.679 --> 00:09:05.759 Yeah, then all of a sudden when review time comes and it says, you know what, you're no longer a team player. 00:09:06.080 --> 00:09:06.639 That's right. 00:09:06.960 --> 00:09:21.759 So the franchisees owners are concerned that while McDonald's is not overtly saying you have to use that, that their franchising license might be in jeopardy if they don't use it. 00:09:22.000 --> 00:09:22.639 Mamma mia. 00:09:23.039 --> 00:09:26.879 And the company maintains that the software is simply an advisory tool. 00:09:27.840 --> 00:09:34.399 Uh, the case was filed by an Illinois customer seeking class action status on behalf of potentially millions of McDonald's customers. 00:09:34.559 --> 00:09:36.000 He's probably the guy that bought the$18. 00:09:38.159 --> 00:09:40.559 At stake is more than the price of a burger. 00:09:40.720 --> 00:09:51.120 The legal experts say the case could help determine whether AI recommendation engines in restaurants, hotels, airlines, and retail stores cross the line from business analytics into unlawful coordination. 00:09:51.360 --> 00:09:51.759 Uh-oh. 00:09:52.159 --> 00:09:59.120 Uh, of course, the lawsuit is still on its early stages, so there has been no answer to this question. 00:09:59.279 --> 00:09:59.759 Yep. 00:10:00.080 --> 00:10:06.879 But one of the big ones is when thousands of businesses rely on the same AI engine, are they really competing anymore? 00:10:07.200 --> 00:10:09.840 Yeah, all of a sudden you got price fixing and monopoly. 00:10:10.159 --> 00:10:10.399 Yeah. 00:10:10.480 --> 00:10:10.559 Yeah. 00:10:11.039 --> 00:10:11.440 It's interesting. 00:10:11.519 --> 00:10:18.960 McDonald's has Monopoly going on right now at their uh uh uh restaurants for their little uh in-game competition. 00:10:19.120 --> 00:10:20.720 Maybe they just knew that that was happening. 00:10:21.279 --> 00:10:22.480 Maybe they're just greedy. 00:10:23.679 --> 00:10:25.200 That would make sense. 00:10:25.519 --> 00:10:28.399 All right, we'll go on to story number through story number three. 00:10:28.639 --> 00:10:30.399

Print repeat, print repeat. 00:10:30.480 --> 00:10:32.320 The drone army is coming. 00:10:32.559 --> 00:10:33.279 What are you talking about? 00:10:33.440 --> 00:10:34.399 Print, launch, repeat. 00:10:34.960 --> 00:10:39.360 Have you ever seen that uh the the die relive? 00:10:40.320 --> 00:10:45.759 We're talking about the movie with uh Tom Hanks and um not Tom Hanks, it's uh Tom Cruise. 00:10:46.320 --> 00:10:50.720 Tom Cruise and oh uh what's her name? 00:10:50.879 --> 00:10:51.600 Amber Heard. 00:10:51.679 --> 00:10:52.960 No Angelina Jolie. 00:10:53.120 --> 00:10:54.240 No, it wasn't Angelina Jolie. 00:10:54.480 --> 00:11:02.320 No, it's it's it's it's it's the gal that married uh John from the Okay, we don't need to figure that out. 00:11:02.399 --> 00:11:03.360 We you know the movie. 00:11:03.600 --> 00:11:05.279 Die, repeat, and die again, whatever it is. 00:11:05.679 --> 00:11:06.399 Edge of tomorrow. 00:11:06.879 --> 00:11:07.519 Edge of tomorrow. 00:11:08.000 --> 00:11:08.639 Thank you, though. 00:11:08.799 --> 00:11:10.240 The voice the voice of the reason. 00:11:10.799 --> 00:11:11.840 The voice of scary man. 00:11:12.080 --> 00:11:12.240 All right. 00:11:12.320 --> 00:11:13.279 The drone army is coming. 00:11:13.440 --> 00:11:20.399 A small defense company may have just shown what a future of mass production military drones look like, and much of it comes straight from a 3D printer. 00:11:20.480 --> 00:11:30.480 The Cummings Aerospace recently seen demonstrated its Hellhound S3 drone system by launching two powered drones from a Polaris buggy. 00:11:30.720 --> 00:11:32.799 This is like half the size of a Jeep. 00:11:32.879 --> 00:11:34.159 So that's that's a golf cart. 00:11:34.480 --> 00:11:40.639 It's like a golf cart, okay, with both aircraft controlled by a single operator using one handheld device. 00:11:41.120 --> 00:11:48.879 So this is a single device holds in his hand, it's like an Atari joystick button where you press a button, it shoots a missile up, and boom, you're ready to go. 00:11:48.960 --> 00:12:06.960 This makes Hollywood uh look like uh reality with the Hell Hound's unique ability to perform the 3D printed components are commercially available parts, allowing it to be produced faster, repaired more easily, and potentially manufactured at a scale without relying on complex supply chains. 00:12:07.279 --> 00:12:10.720 Yeah, that's what I do when I'm at home is I you know 3D printing. 00:12:12.879 --> 00:12:20.080 The 13-pound drone can fly more than 37 miles at speeds of approaching three hundred and eighty plus miles per hour. 00:12:20.240 --> 00:12:31.600 Company officials said the design is modular, allowing operators to swap mission packages in minutes for roles ranging from precision strikes and electronic warfare to decoy operations and counter joint missions. 00:12:31.759 --> 00:12:34.000 How about loading it up with candy and candy? 00:12:34.559 --> 00:12:35.840 And use it like a pinata? 00:12:36.000 --> 00:12:38.720 Yeah, it is or or what? 00:12:38.960 --> 00:12:44.559 Or we could we could load it up with propaganda journals and shoot it at McDonald's. 00:12:45.120 --> 00:12:45.519 You know what? 00:12:45.600 --> 00:12:48.639 I think somebody did something like that back in uh World War II. 00:12:49.279 --> 00:12:49.759 All right. 00:12:49.840 --> 00:12:52.879 Well, um what's great about this technology? 00:12:52.960 --> 00:12:54.320 It's just rapidly deploying. 00:12:54.399 --> 00:12:57.840 They can do over a hundred hellhounds airframes per month. 00:12:57.919 --> 00:12:58.960 So just think of this. 00:12:59.200 --> 00:13:06.639 Within a year, you could have twelve hundred uh 3D printed bombs and missiles ready to go to attack your neighboring country. 00:13:07.519 --> 00:13:20.240 It really doesn't seem like a whole lot, but I guess if it's per printer per thousands upon thousands of yeah, you get a thousand printers and printed missiles that you can per printer it can do about a hundred promoters. 00:13:20.399 --> 00:13:23.120 You can bomb somebody 37 miles away. 00:13:23.519 --> 00:13:24.240 That's well. 00:13:24.480 --> 00:13:26.720 That ends our top technology stories of the week. 00:13:26.879 --> 00:13:29.679 When we return, we have Nick Espinoza from Security Fanatics. 00:13:29.759 --> 00:13:34.240 He'll be joining the show for our annual scary Halloween episode. 00:13:34.639 --> 00:13:37.120 What are some of the scariest technology stories out there? 00:13:37.279 --> 00:13:38.000 We'll find out next. 00:13:38.159 --> 00:13:39.919 You're listening to Tech Time with Nathan Mum. 00:13:40.000 --> 00:13:42.000 We'll be back after this commercial break. 00:13:42.879 --> 00:13:46.799 Looking for custom glass solutions for your next commercial project? 00:13:47.039 --> 00:13:52.320 Heartongue Glass Industries is your trusted partner in custom glass fabrication. 00:13:52.879 --> 00:14:02.080 For over 100 years, Heartongue has delivered proven manufacturing expertise, comprehensive product offerings, and dependable service and quality. 00:14:02.320 --> 00:14:10.240 From energy efficient facades to custom shower doors, we create glass solutions tailored to your project needs. 00:14:10.480 --> 00:14:12.720 With eight facilities across the U.S. 00:14:12.799 --> 00:14:19.919 and Canada, we combine national expertise with a local touch-insuring faster service and unparalleled customer care. 00:14:20.399 --> 00:14:24.159 Hardongue Glass Industries, where quality meets innovation. 00:14:24.399 --> 00:14:27.759 Visit Hardtoneglass.com to learn more. 00:14:39.519 --> 00:14:43.039 Our weekly show covers the top technology subjects without any political agenda. 00:14:43.200 --> 00:14:46.159 We verify the facts and do with a sense of humor in less than 16 minutes. 00:14:46.240 --> 00:14:47.759 And of course, a little whiskey on the side. 00:14:47.840 --> 00:14:54.080 Today, Mark Gregoire, our whiskey connoisseur, is in Where Are You Coming From?

00:14:54.320 --> 00:14:56.480 Mark, we are going to create a brand new segment. 00:14:56.639 --> 00:15:01.919 We're going to uh introduce you coming into this, and we're going to play like the Where's Waldo song so we can see it. 00:15:02.240 --> 00:15:03.440 Where are you coming to us from today? 00:15:03.759 --> 00:15:05.519 Where in the world is Carmen San Diego? 00:15:05.679 --> 00:15:06.799 I'm in Louisiana. 00:15:06.960 --> 00:15:16.399 So I've been hanging out in New Orleans for most of the time, but I did make a run over to Baton Rouge to do a Louisiana bourbon festival. 00:15:16.639 --> 00:15:17.600 Oh, a bourbon. 00:15:18.399 --> 00:15:19.600 So Mark goes to these festivals. 00:15:19.679 --> 00:15:21.679 He goes down to California to these whiskey festivals. 00:15:21.759 --> 00:15:22.240 He's bourbon. 00:15:22.480 --> 00:15:22.879 I don't know. 00:15:23.039 --> 00:15:33.279 I don't know what Mark did to have this life, but uh I'm going to use my computer to genetically modify myself into Mark so that I can go do this. 00:15:33.679 --> 00:15:34.320 So you can do this? 00:15:34.399 --> 00:15:35.039 Okay, there you go. 00:15:35.200 --> 00:15:38.960 Well, you can hear that all offline so no one would even know that's going on anymore. 00:15:39.200 --> 00:15:39.519 All right. 00:15:39.759 --> 00:15:41.279 Mark, what are we? 00:15:41.519 --> 00:15:43.039 I'll tell you what you're drinking today. 00:15:43.279 --> 00:15:43.759 Yes. 00:15:44.159 --> 00:15:48.879 Today is NickNeon, organic single malt scotch whiskey. 00:15:49.120 --> 00:15:59.279 From McNeon's website, their flagship organic single malt is described as elegant and fruity with flavors of citrus, peach, apricot, and spice. 00:15:59.679 --> 00:16:06.240 Now, more specifically, they find notes of lemon possette, peach and apricot, and spiced rye bread. 00:16:06.639 --> 00:16:19.519 It's matured in a combination of specially treated red wine casks, ex-American whiskey barrels, and a small amount of Olaroso sherry cask, giving the whiskey additional body and sweetness. 00:16:19.919 --> 00:16:21.279 That means Nathan's not gonna like it. 00:16:21.440 --> 00:16:22.080 No, I like the peach. 00:16:22.159 --> 00:16:23.279 I can actually taste the peach part. 00:16:23.360 --> 00:16:25.519 Can you taste the I can just taste the peach part? 00:16:27.120 --> 00:16:30.080 No, this is from Nick Nealan's distillery. 00:16:30.399 --> 00:16:38.000 Uh you'll probably never guess where their distillery is, but it's in Dremnan, Mauvern Peninsula, Scotland. 00:16:38.240 --> 00:16:39.120 Oh, okay. 00:16:39.360 --> 00:16:46.399 That was my first place I was gonna uh single malt Scotch whiskey. 00:16:46.720 --> 00:16:53.759 Uh it's non-age stated, it's 92 proof, and it's 100% organic Scottish malted barley. 00:16:55.279 --> 00:17:00.480 Is there a minimum age that that uh it has to be to be Scotch, like for bourbon? 00:17:01.279 --> 00:17:02.399 I don't believe so. 00:17:02.559 --> 00:17:02.879 Okay. 00:17:03.120 --> 00:17:06.319 I can't I I actually I you know last week's was not really good. 00:17:06.640 --> 00:17:08.880 And this I I kind of like this taste. 00:17:08.960 --> 00:17:09.359 I I don't know. 00:17:09.440 --> 00:17:10.559 What what what do you think of Mike? 00:17:10.640 --> 00:17:11.920 I think it's I'm enjoying it. 00:17:12.079 --> 00:17:16.400 So for would you pay$85 for a 700 milliliter? 00:17:16.640 --> 00:17:17.759 Well, it's organic, right? 00:17:17.839 --> 00:17:25.519 I mean I go to the grocery store now, and instead of buying regular bananas, which aren't if you aren't they grown, doesn't that mean they're organic? 00:17:25.680 --> 00:17:28.960 So I uh for everything that you buy at the grocery store is organic. 00:17:29.200 --> 00:17:30.000 See even yes. 00:17:30.079 --> 00:17:30.160 Okay. 00:17:30.319 --> 00:17:35.839 So uh when you buy organic food, yeah, you're just paying more for a I think that too. 00:17:36.079 --> 00:17:41.200 Well, two bananas for a dollar at the organic area, or I can get like a whole bushel for a buck. 00:17:41.599 --> 00:17:44.000 I don't know why we're off on this tangent, but hey, I know the best. 00:17:45.279 --> 00:17:50.559 Well, you could tell you could tell he's eating a lot of organic foods instead of processed because he's his fat suit that he's wearing. 00:17:52.000 --> 00:17:54.559 Oh I thought you were gonna say I dressed up like Santa. 00:17:56.079 --> 00:17:58.640 No, that's another couple more months. 00:17:58.880 --> 00:17:59.359 That's right. 00:17:59.599 --> 00:18:00.240 All right. 00:18:00.559 --> 00:18:04.079 Well now uh please don't forget to like and subscribe. 00:18:04.319 --> 00:18:05.359 Drink responsibly. 00:18:05.440 --> 00:18:06.559 Heaven can wait. 00:18:06.799 --> 00:18:08.079 Oh, that's so great. 00:18:08.480 --> 00:18:09.039 You know what? 00:18:09.200 --> 00:18:12.079 Thank you, Mark, for being our whiskey connoisseur. 00:18:12.400 --> 00:18:16.319 Mark has chosen a great palette for us to taste today. 00:18:16.640 --> 00:18:18.240 He wouldn't know anything about palettes. 00:18:18.480 --> 00:18:22.880 Well, with our whiskey tasting completed, let's move on to our feature segment. 00:18:23.119 --> 00:18:25.920 Fat Luisi says bad palette. 00:18:26.319 --> 00:18:30.079 Today, our technology expert Nick Espinoza is joining the show. 00:18:30.160 --> 00:18:36.720 He's an expert in cybersecurity and network infrastructure and has consulted with clients ranging from small business to the Fortune 100 level. 00:18:36.799 --> 00:18:42.960 At the ninth, at the age of 19, Nick founded Wendy City Networks, which was later acquired in 2015. 00:18:43.039 --> 00:18:46.960 He then created security fanatics, and he's the chief security fanatic. 00:18:47.200 --> 00:18:49.039 We welcome Nick to the show. 00:18:50.160 --> 00:18:58.960 Welcome to the segment we call Ask the Experts with our Tech Time Radio expert, Nick Espinoza. 00:18:59.200 --> 00:18:59.920 All right, Nick.

00:19:00.799 --> 00:19:01.200 Hi, Nick. 00:19:01.359 --> 00:19:03.119 Oh, Nick is dressed up in a costume. 00:19:03.359 --> 00:19:06.240 Also, see, everybody's in the uh Halloween spirit. 00:19:06.799 --> 00:19:07.519 Sure, sure, yeah. 00:19:07.680 --> 00:19:08.000 Indeed. 00:19:08.240 --> 00:19:10.480 All right, so what did you dress up as, Nick? 00:19:10.720 --> 00:19:17.519 Yes, so I am the uh longest losing streak in NHL history, aka the Toronto Maple Leafs. 00:19:17.599 --> 00:19:17.759 Okay. 00:19:18.079 --> 00:19:21.759 Haven't won in about, oh, we're going up on 60 years now. 00:19:21.920 --> 00:19:22.079 Okay. 00:19:22.319 --> 00:19:23.680 Haven't won the Stanley Cup. 00:19:23.759 --> 00:19:24.559 So here we are. 00:19:24.720 --> 00:19:49.039 This is the team for the record that actually lost to their own Zamboni driver about five, six years ago when uh they were playing the Hurricanes, and the Hurricanes exhausted their goalies, and the emergency backup goalie had to show up, which was literally a guy that's never played in the NHL, uh, works for the Maple Leafs, drives a Zamboni machine, and uh he turned into an absolute brick wall against the against the lay the Maple Leafs, his own team. 00:19:49.200 --> 00:19:50.720 So all right, so explain this to me. 00:19:50.799 --> 00:19:52.880 I this is intriguing. 00:19:53.039 --> 00:19:55.039 Okay, so so there's a rule. 00:19:55.119 --> 00:19:56.480 I I don't do a lot with hockey. 00:19:56.559 --> 00:20:03.359 There's a rule in hockey where if you if both your goalies are are yeah, they used to have the role, so it's called an e-bug. 00:20:03.440 --> 00:20:13.759 And so every team at their stadium would have like some guy just hanging out in case the goalies for either one of the teams were injured beyond the point of they couldn't go back to the game. 00:20:13.839 --> 00:20:25.039 And so that happened to the Hurricanes in Toronto, and so Toronto basically got their uh their Zamboni driver, who was the backup, to suit up and go out to be the Hurricanes goalie. 00:20:25.119 --> 00:20:30.480 And after letting two in, he said in the locker room he's not gonna let any any other uh goals in. 00:20:30.559 --> 00:20:40.880 And sure enough, he stopped absolutely every shot Toronto threw at him, and and the hurricanes ended up winning the game with a Zamboni driver as their goal as their goalie, which is insane. 00:20:41.839 --> 00:20:44.480 It's like your public defense attorney winning your case for you. 00:20:44.880 --> 00:20:51.759 Yes, yeah, it's it's like imagine OJ getting a public defender and then just smoking the prosecution. 00:20:52.079 --> 00:20:53.680 Well, all right. 00:20:53.759 --> 00:20:56.400 Well, uh Nick, you know, that's a great story there. 00:20:56.480 --> 00:20:57.759 Well, welcome to the show. 00:20:57.839 --> 00:21:03.119 Tell everybody that this may be their first time listening to our show uh a little bit about yourself. 00:21:03.440 --> 00:21:03.920 Yeah, yeah. 00:21:04.000 --> 00:21:13.279 So I'm Nick Espinosa with Chief Security Fanatics, and uh, you know, we do all things cybersecurity, cyber warfare, cyber terrorism, political risk, and and uh I love the Halloween show. 00:21:13.359 --> 00:21:14.480 It's always a fun time. 00:21:14.559 --> 00:21:15.759 So happy to be here. 00:21:16.000 --> 00:21:21.599 All right, I've got some tasty scotch today, so hit me with all your scary stories. 00:21:22.000 --> 00:21:24.240 This is this is not the normal episode of Nick. 00:21:24.319 --> 00:21:26.960 This is Nick on the uh steroids of scariness. 00:21:27.039 --> 00:21:27.759 So here we go. 00:21:27.920 --> 00:21:28.400 All right. 00:21:32.160 --> 00:21:35.839 All right, Nick, on our scary episode of Tech Time Radio. 00:21:36.480 --> 00:21:39.119 We're gonna start out with something a little slow. 00:21:39.440 --> 00:21:43.279 Now there's a simple fear out there of self replicating AI. 00:21:43.680 --> 00:21:50.640 What is this new term that we're seeing popping up all over news articles and different uh conversations? 00:21:51.440 --> 00:21:55.200 Yeah, and and this is the stuff of science fiction nightmare fuel. 00:21:55.279 --> 00:21:56.319 So strap in, Mike. 00:21:56.480 --> 00:22:09.039 But imagine imagine trying to shut down like A dangerous piece of software when there's a zillion copies scattered across devices owned by people that don't even know it's there. 00:22:09.599 --> 00:22:21.279 Now imagine that software can use artificial intelligence to then adapt itself into unfamiliar computers, meaning it can jump from Windows to Apple to Android to iOS and on and on. 00:22:21.599 --> 00:22:24.799 That is the problem that we are starting to see. 00:22:24.880 --> 00:22:29.119 And new research is basically indicating that we need to take this seriously. 00:22:29.279 --> 00:22:41.599 And so if you don't know, there's a publication called The Verge, and I know this uh this radio show knows it, but basically The Verge talked about Anthropic's new warning about potentially self-propagating AI botnets. 00:22:41.759 --> 00:22:52.400 Now, a botnet is a network of compromised devices, and so think about it like a worm that spreads between computers without anybody really having to tell it to do that, it just does it automatically. 00:22:52.559 --> 00:23:00.400 So Anthropic ran an AI model across 15 inexpensive Android devices, like the TV boxes that you can get for your home. 00:23:00.559 --> 00:23:09.119 And separately, these advanced AI agents basically did replication in a contained network, and here we are. 00:23:09.279 --> 00:23:13.359 So obviously, the danger here is that we all have these old devices laying around. 00:23:13.519 --> 00:23:18.000 I probably have like two or three Android phones right over there, you know, that I don't use anymore. 00:23:18.079 --> 00:23:20.160 They're my old ones, I and I never turn them in. 00:23:20.319 --> 00:23:27.920 And imagine having all these things infected and I use

them on the network, you know, in my wireless, in my home or office or whatever, and here we are. 00:23:28.079 --> 00:23:33.440 All it needs really is access, and it can get to the internet, it can get to other devices. 00:23:33.680 --> 00:23:35.119 This is what we are talking about. 00:23:35.200 --> 00:23:42.319 So it's very hard to contain if it's able to replicate itself and we don't know it's doing it, but that's where AI is heading. 00:23:42.480 --> 00:23:42.640 Yep. 00:23:42.799 --> 00:23:44.160 Cabin in the woods time. 00:23:44.319 --> 00:23:46.319 Yeah, that's why I that's not the movie. 00:23:46.480 --> 00:23:46.960 Uh okay. 00:23:47.200 --> 00:23:47.680 Just the cabin. 00:23:47.920 --> 00:23:48.640 The cabin in the woods. 00:23:49.200 --> 00:23:49.920 Nuke it from orbit. 00:23:50.000 --> 00:23:50.960 Just nuke it from orbit. 00:23:51.039 --> 00:23:51.920 It's the only way to be sure. 00:23:52.160 --> 00:23:52.480 That's right. 00:23:52.559 --> 00:23:54.960 That's why I have a whole collection of burner phones that are old for the city. 00:23:55.119 --> 00:23:56.319 Yeah, just so you can get them inspected. 00:23:58.480 --> 00:24:01.279 The old 2G network ones that don't work any longer. 00:24:01.519 --> 00:24:01.839 All right. 00:24:01.920 --> 00:24:02.559 Well, you know what? 00:24:02.720 --> 00:24:05.599 That's a perfect, that's a perfect way to start off the Halloween episode. 00:24:05.839 --> 00:24:06.720 Thank you very much for that. 00:24:06.960 --> 00:24:07.279 What's that? 00:24:07.440 --> 00:24:08.160 I'm going to take a drink. 00:24:08.319 --> 00:24:08.799 Okay, here we go. 00:24:08.960 --> 00:24:09.440 I live to serve. 00:24:10.079 --> 00:24:10.400 Here we go. 00:24:10.559 --> 00:24:11.359 Starting off easy. 00:24:11.440 --> 00:24:14.960 Now we're going to move a little bit more into the scariness stuff there. 00:24:15.039 --> 00:24:17.039 So don't freak out, Mike or our listeners. 00:24:17.279 --> 00:24:20.400 The next thing we're going to be talking about is the Ukraine-Russia bot story. 00:24:20.480 --> 00:24:25.039 Now, there's tons of missed disinformation, misinformation, and disinformation on this. 00:24:25.119 --> 00:24:30.559 And we haven't covered it really on our show yet because there's so much different information that we had on there. 00:24:30.720 --> 00:24:36.880 So why don't you explain what's going on on there so that we can get the information directly from a key source? 00:24:37.279 --> 00:24:48.000 Yeah, so this one's actually interesting because about a week or two ago, uh, you might have seen the memes because they were all over social media, but Ukraine launched drone strikes against Yandex. 00:24:48.079 --> 00:24:53.920 Now, Yandex is kind of like the AWS or Amazon Web Services for Russia. 00:24:54.079 --> 00:24:57.759 And so they hit Yandex data centers massively. 00:24:58.000 --> 00:25:05.599 And so the story that was basically exploding all over the internet is that Russian propaganda bots just automatically went dark. 00:25:05.759 --> 00:25:10.559 And so a whole bunch of, in this case, pro-Trump networks just went silent. 00:25:10.799 --> 00:25:19.599 In other words, like the loudest voices, you know, in the midterm elections suddenly just stopped tweeting, responding, and all of that, which kind of indicates that it's bot networks. 00:25:19.839 --> 00:25:35.599 Now, this was a real attack, but the data coming from legitimate sources like Cloudflare misinterpreted the entire thing, which is why this exploded into that misbelief that like all these networks that were like pro-Trump or whatever went down. 00:25:35.839 --> 00:25:38.079 And as I mentioned, Yandex is kind of Amazon. 00:25:38.160 --> 00:25:40.000 So they're huge in Russia. 00:25:40.160 --> 00:25:46.480 They did confirm that they had attacks on multiple locations and their customers did experience real uh disruption. 00:25:46.640 --> 00:25:52.720 But here's how we got it wrong because Cloudflare circulated a chart that exploded all over the internet. 00:25:52.880 --> 00:25:58.000 And what Cloudflare was doing was just tracking automated web crawler requests. 00:25:58.160 --> 00:26:08.559 So think about Google, Yahoo, the six people that use Bing web crawlers go out and actually find the websites so that they can be added to Google, Bing, Yahoo, et cetera. 00:26:08.640 --> 00:26:10.160 That's what Yandex does. 00:26:10.400 --> 00:26:21.680 That is not, for the record, any kind of census of like the political accounts on Facebook or X or Reddit that were popping off on politics one way or the other in the United States and elsewhere. 00:26:21.920 --> 00:26:31.599 So the way when I was talking about this, you know, the other week was think about it this way: like imagine you're in a library and the library's indexing system loses power. 00:26:31.839 --> 00:26:37.920 The number of books that the library or the librarians can scan, therefore, just goes basically to zero. 00:26:38.160 --> 00:26:47.599 So that tells us the technology stopped working, but it doesn't tell us that everybody who argues about politics in the library just suddenly stopped arguing about politics and disappeared, right? 00:26:47.759 --> 00:26:53.119 So a graph can be accurate and the story to it basically attached to it can be false. 00:26:53.279 --> 00:27:02.640 And I'm still seeing those memes today, even after like a couple of weeks or so, where people are like, oh yes, all of Trump supporters went dark because you know, Russia's data centers got hit. 00:27:02.799 --> 00:27:09.359 And quite frankly, we know there's disinformation campaigns coming from Russia, but that simply wasn't the case in this in this scenario. 00:27:09.599 --> 00:27:14.240 Yeah, I I did see some of the other uh headlines from this that a bunch of Bitcoin was lost. 00:27:14.799 --> 00:27:16.799 I I don't know if that was confirmed or not. 00:27:16.960 --> 00:27:23.680 Again, that was kind of the headline is hey, they attacked a

bunch of data centers and a bunch of Bitcoin was lost forever. 00:27:24.319 --> 00:27:24.720 Not really. 00:27:24.880 --> 00:27:25.440 Not really either. 00:27:25.519 --> 00:27:27.440 I didn't think that's no, no, right, right. 00:27:27.519 --> 00:27:29.519 I mean, well, think about what a Bitcoin is, right? 00:27:29.599 --> 00:27:31.359 Or cryptocurrency or the blockchain. 00:27:31.440 --> 00:27:32.640 It's a distributed network. 00:27:32.720 --> 00:27:36.960 And so uh the ledger is essentially what validates all of the transactions. 00:27:37.039 --> 00:27:45.200 And so, unless the blockchain or the the coin itself was a hundred percent in Yandex's servers that were destroyed, it's going to survive. 00:27:45.359 --> 00:27:53.839 And so there were a lot of that, oh yeah, all these cryptocurrencies went down, and and so, you know, like like money that like Trump was funneling into these things, you know, et cetera. 00:27:53.920 --> 00:27:54.960 And I'm not getting political here. 00:27:55.039 --> 00:27:56.559 This is just literally what's being talked about. 00:27:56.880 --> 00:28:04.160 Correct, you know, like like, oh, like well, Trump's obfuscating, you know, Bitcoin and or or or another cryptocurrency through Russian servers. 00:28:04.319 --> 00:28:10.799 Well, unless again that that blockchain was a hundred percent in Yandex, uh, and part of Yandex actually kept up. 00:28:10.880 --> 00:28:14.240 I mean, they most of it was destroyed, but it still kept running. 00:28:14.640 --> 00:28:18.240 Um, so anyway, the point is that's kind of bung too. 00:28:18.319 --> 00:28:18.559 Yep. 00:28:18.720 --> 00:28:20.319 So you gotta be careful in what you see. 00:28:20.720 --> 00:28:27.279 The news just loves to run with uh a lot of it's because it's everybody has goldfish memories. 00:28:29.039 --> 00:28:33.200 After the elections are over, everybody's gonna go to finding memes for something else. 00:28:33.359 --> 00:28:33.839 Yeah, don't worry. 00:28:34.000 --> 00:28:35.359 We got some election stuff coming up. 00:28:35.440 --> 00:28:37.519 Don't you uh get too excited here now, Mike. 00:28:37.920 --> 00:28:38.559 It's over. 00:28:38.880 --> 00:28:44.079 It seems Mark Zuckerberg is not the only one wearing a two-faced costume this Halloween. 00:28:44.319 --> 00:28:45.279 Yeah, McDonald's is. 00:28:45.680 --> 00:28:51.920 Uh, it seems he's been helping people around the world with what, Nick? 00:28:52.000 --> 00:28:53.839 What what do you have going on here with Mr. 00:28:53.920 --> 00:28:54.960 Zuckerberg? 00:28:55.279 --> 00:29:03.200 Dude, you were talking to the guy that has done three segments entitled, It's Time to Put Mark Zuckerberg in jail. 00:29:03.279 --> 00:29:03.519 I guess. 00:29:03.759 --> 00:29:11.119 And the third segment was an hour and a half long, just going through the litany of sins that this man has wrought on the world. 00:29:11.359 --> 00:29:19.200 But here's what we're talking about because about a week before Brazil is choosing its newest president, they're going through an election as well. 00:29:19.440 --> 00:29:29.839 Their electoral court gave Meta, aka Mark Zuckerberg's platform, Facebook, Instagram, et cetera, 24 hours to prove that it's not intentionally altering the race. 00:29:30.079 --> 00:29:34.720 So here's what happened Meta suppressed Brazil's president, he's known as Lula. 00:29:35.119 --> 00:29:40.720 His content with basically uh Lula's posts missing share buttons, uh reduced reach. 00:29:40.880 --> 00:29:48.799 In other words, they were shadow banning him in some ways, and stories that could not basically be shared or reacted to by the Brazilian population. 00:29:49.119 --> 00:30:07.279 The lawsuit also says that Meta's AI chatbot on WhatsApp also refused to generate campaign images for Lula, but it had no problem doing that for the far-right candidate, Flavio Bolsonaro, who is the son of the former president who is now under house arrest, Jair or Jair Bolsonaro. 00:30:07.519 --> 00:30:08.720 So that's crazy. 00:30:08.880 --> 00:30:12.640 And then on the same weekend, uh there was the No Kings rally. 00:30:12.720 --> 00:30:20.559 That was, I think, last weekend or the weekend before, where they had like 3,000 events that they were organizing as protests across the United States. 00:30:20.799 --> 00:30:32.799 And essentially, in the middle of that uh rally that day, Instagram, aka Mark Zuckerberg's Instagram, suspended the coalition, the No Kings coalition's main account for 90 minutes. 00:30:32.960 --> 00:30:38.640 But organizers also said that they stayed locked out for well after it actually came back online. 00:30:39.039 --> 00:30:59.359 Now, Meta apologized, they said it was an error, but then they changed their explanation because first they blamed unusually high posting and sharing activity, and then they threw anthropic under the bus by saying it was an automated security system on their end that triggered bot-like reading activity that basically came was coming out of anthropic. 00:30:59.599 --> 00:31:04.799 And so, you know, I've been watching this guy and all of these companies forever. 00:31:04.960 --> 00:31:07.279 I do not believe in coincidences here. 00:31:07.519 --> 00:31:11.759 I mean, uh, if you go and listen to my segment, it's time to put Mark Zuckerberg in jail. 00:31:11.920 --> 00:31:18.960 I literally like catalog aiding and abetting genocides, war crimes, you know, the destruction of mental health. 00:31:19.119 --> 00:31:20.400 They knew they were doing this. 00:31:20.559 --> 00:31:23.759 It is an absolute disaster of a mess. 00:31:23.920 --> 00:31:37.839 And so, how many times does a platform like Facebook, Instagram, et cetera, get to just accidentally silence the opposition, you know, at the most important possible moment before we just stop calling it an accident? 00:31:37.920 --> 00:31:40.079 And that's really what it comes down to for me. 00:31:40.799 --> 00:31:42.799 There you go, private private enterprise, right?

00:31:43.119 --> 00:31:44.880 The Zuckerberg can kind of just do what you want. 00:31:45.119 --> 00:31:47.359 So we we don't pay for it, so we expect it. 00:31:47.599 --> 00:31:50.160 That's it's it's an interesting crazy. 00:31:50.720 --> 00:32:03.920 And then Blue Sky, the the competitor to some of the Facebook type of stuff, then all of a sudden they just went like all gitsy and and excited about AI bots, and so now they just went all AI crazy. 00:32:04.000 --> 00:32:10.640 So all the people that were on in Blue Sky that were over there saying, hey, we would kind of like it as an independent platform, now it's got AI working. 00:32:11.200 --> 00:32:13.519 You know, it's it's it's it's it's it's it's all right. 00:32:13.680 --> 00:32:15.119 Well, yeah, it's annoying. 00:32:15.359 --> 00:32:17.440 Well, speaking of elections, thanks, Mr. 00:32:17.599 --> 00:32:19.200 Uh Luigi there. 00:32:19.279 --> 00:32:22.160 Uh it's election year time again, and you know what? 00:32:22.319 --> 00:32:24.880 AI is starting to influence voters' information. 00:32:25.039 --> 00:32:31.839 The information of where you vote, elections information about who you vote for is being altered with AI. 00:32:32.000 --> 00:32:39.839 Explain, Nick, what is going on with voter information being regenerated through AI's conversational pathways? 00:32:41.279 --> 00:32:42.720 Uh, Lordy Lord. 00:32:42.880 --> 00:32:43.200 Okay. 00:32:43.440 --> 00:32:45.200 I honestly don't know why you have me on. 00:32:45.440 --> 00:32:48.160 So there, you know, it just just for ratings. 00:32:48.319 --> 00:32:48.960 I'll just be honest. 00:32:49.039 --> 00:32:50.880 You're the rating, you're the ratings king. 00:32:50.960 --> 00:32:52.480 So we load the this episode. 00:32:52.799 --> 00:32:57.359 I'm just saying if both of you are on blood pressure medication, we are testing the heck out of it this week. 00:32:57.599 --> 00:33:03.599 So so I will say this, and this is the hypothetical that when I was thinking about it, I used. 00:33:03.680 --> 00:33:07.839 So imagine searching for Google on how to donate to like a Senate candidate, right? 00:33:07.920 --> 00:33:14.000 And you click the link that Google's AI recommends, and then you send your money to a completely different campaign. 00:33:14.240 --> 00:33:17.599 That is literally what happened, according to the Atlantic. 00:33:17.759 --> 00:33:22.720 And so, three supporters of James Tolerico, he's running for uh Senate in Texas. 00:33:22.880 --> 00:33:31.599 Yep, um, essentially, AI's answer featured a donation page that actually sent all the money to John Hickenlooper in Colorado. 00:33:31.839 --> 00:33:34.079 John Hickenlooper is a senator out there as well. 00:33:34.240 --> 00:33:40.480 And now, for the record, um, this was this page was created outside of um uh uh Hick and Looper or anybody. 00:33:40.720 --> 00:33:41.119 He didn't know this. 00:33:41.200 --> 00:33:47.200 Hick and Looper didn't create this, and he forwarded all of the money that was sent like over a thousand dollars to Talo Rico. 00:33:47.519 --> 00:33:51.680 But the AI, if you think about it, didn't actually create this misleading page. 00:33:52.079 --> 00:33:54.960 It just pulled information off of Reddit or or some location. 00:33:55.359 --> 00:33:59.359 Well, it didn't so the AI is supposed to look at the page, but it didn't read the fine print. 00:33:59.519 --> 00:34:06.400 And so what the AI did was say, oh, well, this is authoritative to Talo Rico for donations, so go here to donate to Talo Rico. 00:34:06.880 --> 00:34:09.039 So, so that's what the AI did. 00:34:09.199 --> 00:34:13.760 But if you step back, you know, like zoom out and talk about the big picture here. 00:34:14.400 --> 00:34:25.679 If you're looking at it, the these midterms in the United States are the first federal elections where tens of millions of voters are getting at least some of their political information from artificial intelligence. 00:34:25.840 --> 00:34:35.840 And in a September survey, almost 40% of people said that they got election information from Google's AI search summaries in the past month. 00:34:36.000 --> 00:34:42.800 And that doesn't even mention like things like the disinformation threat actors out there that are trying to actively poison AI. 00:34:42.960 --> 00:34:50.000 We saw a whole rash in the 2016 election of disinformation uh ads coming from Russia's Internet Research Agency group. 00:34:50.079 --> 00:34:53.519 That was the one run by Evgeny Progoshin and all of that. 00:34:53.599 --> 00:34:58.559 And so if you were looking at it, these threat actors are attempting to look authoritative for the AI. 00:34:58.719 --> 00:34:59.920 The AI ingests it. 00:35:00.000 --> 00:35:08.159 And then when an unsuspecting person says, you know, tell me about James Talarico, the AI says, Oh, well, did you know he eats babies on the weekend or whatever it is? 00:35:08.320 --> 00:35:11.440 So maybe you're not going to vote for James Talarico because he's a baby eater. 00:35:11.599 --> 00:35:14.000 Like these are the things that we are seeing. 00:35:14.159 --> 00:35:22.239 And and studies have shown historically, even before AI, if you were on the first page of Google, you looked authoritative whether you were or not. 00:35:22.639 --> 00:35:33.679 And if you are making yourself look authoritative to the AI to the point where the AI believes you're authoritative, you can literally have the AI tell unsuspecting voters anything that you want them to know. 00:35:33.920 --> 00:35:42.320 You know, and and these companies like uh anthropic Google, you know, et cetera, say that they're working with organizations to vet all of this information. 00:35:42.480 --> 00:35:44.480 But the point is that's all retroactive. 00:35:44.880 --> 00:35:49.280 If the AI sees it, it can give it to millions of people before it's actually caught and retrained. 00:35:49.440 --> 00:35:51.760 And it depends on what AI model you're using, too, right?

00:35:51.840 --> 00:35:58.960 If you're using the free version, you may be two versions old, which has an old large language model that's not actively pulling new information. 00:35:59.039 --> 00:36:05.199 So if I go to open AI's Chat GPT and sign up for a free account, just use that information. 00:36:05.280 --> 00:36:11.519 That's using two models old data versus the most recent data because I'm getting it for free. 00:36:11.599 --> 00:36:14.719 So my information will be dated and not to date. 00:36:15.039 --> 00:36:15.119 Right. 00:36:15.199 --> 00:36:16.480 And they're sycophantic. 00:36:16.559 --> 00:36:25.119 So I remember when 3.5 came out for Chat GPT and I asked it who's Nick Espinoza, and uh it said, I have no idea who the heck Nick Espinoza is and ego slightly bruised. 00:36:25.519 --> 00:36:27.119 I started feeding it one prompt at a time. 00:36:27.199 --> 00:36:31.039 Do you know he you know he writes for Forbes, he does this, he does that, he's in cybersecurity. 00:36:31.199 --> 00:36:37.519 And then after about 10 of these inputs of my bio, I asked it, now that you know who Nick Espinoza is, will you tell everybody else? 00:36:37.599 --> 00:36:39.280 And it said, Absolutely, I will. 00:36:39.440 --> 00:36:40.480 It'll never do that. 00:36:40.559 --> 00:36:40.800 Right. 00:36:40.960 --> 00:36:41.920 That's not how it works. 00:36:42.000 --> 00:36:43.920 It's a closed system on the free one. 00:36:44.159 --> 00:36:49.360 So 4.0 might know who I am, but 3.5 will never in its lifetime ever know who I am. 00:36:49.599 --> 00:36:58.480 So understand the limitations here, but the problem is we've got millions of people that don't and think this thing is some super genius giving them accurate answers 24-7. 00:36:59.039 --> 00:37:01.760 It's it's it's a it's a nightmare scenario. 00:37:01.920 --> 00:37:02.559 It really is. 00:37:02.800 --> 00:37:03.119 All right. 00:37:03.199 --> 00:37:09.440 Last but not least, the CISA has been playing trick or treat with voiding voting machines. 00:37:09.599 --> 00:37:10.960 What is going on here, Nick? 00:37:11.039 --> 00:37:16.000 And and and tell us a little bit about this voting machine story that's that's making the the news now. 00:37:16.320 --> 00:37:16.880 Oh my god. 00:37:16.960 --> 00:37:20.000 Okay, we need to double up on the blood pressure meds this week. 00:37:20.159 --> 00:37:29.840 Um, so here's what's going on with this, and this is absolutely just and for the record, just as a primer for the audience here, I am I am a certified ethical hacker. 00:37:30.079 --> 00:37:32.320 You know, like these are things that I do for a living. 00:37:32.480 --> 00:37:35.519 And and so when I'm talking about this, it's beyond frustrating. 00:37:35.599 --> 00:37:50.800 But a few months into Trump 2.0, meaning 2025, political appointees of Trump at the Department of Homeland Security asked CISA, that's the cybersecurity and infrastructure security agency, to secretly acquire a voting machine and hack it. 00:37:51.360 --> 00:38:00.320 Now, uh, according to former officials here, basically these findings were going to be reported back, uh, essentially, so they could go to the White House. 00:38:00.480 --> 00:38:13.920 And CISA basically was told not, I repeat, not to alert the machine's manufacturer about any flaws that they found, which is the literal opposite of a standard practice in my field. 00:38:14.079 --> 00:38:21.920 And so career staff at CISA feeled that they, you know, felt that they were they were basically asked to take part in political interference. 00:38:22.079 --> 00:38:27.679 And so one of them put it, and I quote, this goes against everything CISA represents. 00:38:27.840 --> 00:38:30.880 You know, they talked to ProPublica on this as whistleblowers. 00:38:31.119 --> 00:38:41.840 It's it's an amazing write-up that we should read, but it matters to anybody that works in security and the general public because ethical penetration testing is normal and it's valuable. 00:38:42.000 --> 00:38:48.159 You know, I literally have been spending all week on PHP to shell, which is like 70% of the internet just became vulnerable. 00:38:48.639 --> 00:38:54.480 You know, and so we are ethically looking for those vulnerabilities for our clients to let them know how to fix it. 00:38:54.639 --> 00:39:02.719 And CISA itself used to do a lot of that openly with states testing their systems and all of that, but they lost tens of millions in funding. 00:39:02.800 --> 00:39:05.920 They lost a third of their staff since 2025. 00:39:06.320 --> 00:39:08.639 And ethical testing has rules. 00:39:08.800 --> 00:39:13.519 You get permission from the manufacturer, you define a scope before you hit it. 00:39:13.599 --> 00:39:22.320 And when you find an actual vulnerability or flaw, you tell the people, aka the manufacturer, here's the exploit, here's how you fix it. 00:39:22.400 --> 00:39:28.800 And you don't tell the world that they've done it until they've had an appropriate amount of time to actually flip uh fix it. 00:39:29.039 --> 00:39:44.480 So if you just strip away all of the rules that we have and you keep basically this company in the dark, this voting machine company, and then you send the results to a political leadership instead of the actual company itself, that's not a security test. 00:39:44.800 --> 00:39:50.239 That's literal interference, that's malfeasance, and and it's just absolutely insane. 00:39:50.400 --> 00:39:56.000 So go read the Pro Pro Publica article because it's mind-blowingly infuriating to me. 00:39:56.159 --> 00:39:57.199 So here we go. 00:39:57.440 --> 00:39:59.840 I'm gonna go down to Seattle and walk off a pier. 00:40:00.719 --> 00:40:01.599 Hang on there, Mike. 00:40:01.679 --> 00:40:02.400 Be careful, be careful. 00:40:02.719 --> 00:40:03.360 Long walk, short pier. 00:40:04.239 --> 00:40:04.639 That's right. 00:40:04.800 --> 00:40:05.440 You know what though? 00:40:05.519 --> 00:40:10.159 As long as you ask the AI about uh

any of these depressions you may have, it'll tell you that you're okay. 00:40:10.480 --> 00:40:15.440 I'm gonna go, I'm gonna go home, yell at my Roomba, and have Alexa tell me tell me it's okay. 00:40:15.599 --> 00:40:15.840 All right. 00:40:15.920 --> 00:40:19.519 Well, and the AI can show you the shortest pier and how to get their mic. 00:40:19.599 --> 00:40:20.800 So that's a good thing. 00:40:21.119 --> 00:40:22.079 It could be hallucinating, though. 00:40:22.159 --> 00:40:26.480 It could actually have you at a pier in like uh Tokyo instead of Seattle, but don't worry about that. 00:40:27.199 --> 00:40:27.599 There you go. 00:40:27.679 --> 00:40:28.559 Yeah, I don't have to worry. 00:40:28.719 --> 00:40:31.280 I I don't have to worry about anything. 00:40:31.440 --> 00:40:32.400 You don't have to worry about anything. 00:40:33.039 --> 00:40:34.559 Yeah, I will control my life. 00:40:34.719 --> 00:40:35.119 That's right. 00:40:35.360 --> 00:40:36.880 We're gonna be talking about that up next. 00:40:37.039 --> 00:40:39.440 Well, Nick, thank you for coming on our show. 00:40:39.599 --> 00:40:42.320 It's a pleasure to talk with you on our Halloween specials. 00:40:42.480 --> 00:40:49.039 Please tell the listeners that this is the hardest one of the year. 00:40:49.280 --> 00:40:49.599 Yeah, it is. 00:40:49.679 --> 00:40:50.079 Yeah, it is. 00:40:50.159 --> 00:40:51.119 This is the hardest one of the year. 00:40:51.360 --> 00:40:57.360 All right, please tell listeners how they can contact you or get in touch with you after our show. 00:40:57.599 --> 00:40:58.159 Yeah, yeah. 00:40:58.239 --> 00:41:06.960 You can like to follow me at Nick AESP on like X, all of that, LinkedIn slash Nick Espinosa, YouTube slash Nick Espinoza, where I'm talking about these things daily. 00:41:07.119 --> 00:41:08.079 So come say hi. 00:41:08.159 --> 00:41:08.880 I'd love to hang out. 00:41:09.119 --> 00:41:13.039 But you can't find them on TikTok and the other five people that use the Bing. 00:41:13.440 --> 00:41:13.920 Go search. 00:41:14.719 --> 00:41:16.880 I knew you were going to have a problem with that, Mr. 00:41:16.960 --> 00:41:17.119 B. 00:41:17.519 --> 00:41:17.760 Yeah, I know. 00:41:17.840 --> 00:41:18.559 I love Bing search. 00:41:18.639 --> 00:41:22.800 So there's the other five of us that are out there, and thank you for still using Bing as your search. 00:41:23.119 --> 00:41:28.159 Yes, and and also uh also uh you can possibly see my videos on Rumble. 00:41:28.239 --> 00:41:30.000 I didn't realize they were still replicating there. 00:41:30.159 --> 00:41:30.719 Okay, there you go. 00:41:30.800 --> 00:41:31.039 Rumble. 00:41:31.119 --> 00:41:31.920 Yeah, I went and looked. 00:41:32.000 --> 00:41:32.880 Yeah, yeah, of all things. 00:41:33.280 --> 00:41:35.920 If you want to go to a site that's got some crazy stuff, Rumble is. 00:41:36.159 --> 00:41:36.639 It's insane. 00:41:36.880 --> 00:41:37.679 Rumble insane. 00:41:37.920 --> 00:41:38.400 It is fun. 00:41:38.480 --> 00:41:38.880 You know what? 00:41:39.519 --> 00:41:46.960 It's fun because, man, you got you get like you get uh left to the right in both extremes all over everything. 00:41:47.360 --> 00:41:47.840 So bizarre. 00:41:48.079 --> 00:41:54.800 I I have never I have never been called an agent of the lizard people before until my video started appearing on Rumble. 00:41:55.360 --> 00:41:55.920 All right. 00:41:56.800 --> 00:41:58.000 The cover is blown. 00:41:58.239 --> 00:41:58.800 All right. 00:41:59.039 --> 00:42:00.079 Thank you so much, Nick. 00:42:00.159 --> 00:42:01.360 We'll see you again next month. 00:42:01.519 --> 00:42:01.679 All right. 00:42:01.920 --> 00:42:02.639 Take it easy, guys. 00:42:02.880 --> 00:42:05.840 And that ends our segment, Ask the Expert with Nick up now, though. 00:42:05.920 --> 00:42:09.679 We have, of course, an uplifting segment, Mike the AI guy. 00:42:11.599 --> 00:42:13.360 We have the guy. 00:42:37.679 --> 00:42:39.199 Okay, well, this is your segment. 00:42:39.440 --> 00:42:40.079 So much. 00:42:40.400 --> 00:42:40.719 Yep. 00:42:40.960 --> 00:42:42.320 Because we all know what's going on. 00:42:42.800 --> 00:42:49.360 We see AI doing all this stuff, we hear all the people yelling about this, there's a lot of fear involved, right? 00:42:49.840 --> 00:42:50.159 Yeah. 00:42:50.320 --> 00:42:53.760 We have made predictions about things, we talk about this stuff all the time. 00:42:53.920 --> 00:42:56.960 Well, guess what researchers have finally discovered? 00:42:57.119 --> 00:42:57.599 What's that? 00:42:58.079 --> 00:43:00.639 The greatest threat facing humanity. 00:43:00.960 --> 00:43:01.360 Yeah. 00:43:02.239 --> 00:43:05.440 It's not asteroids, it's not nuclear war. 00:43:05.679 --> 00:43:05.840 Okay. 00:43:06.239 --> 00:43:09.119 It's not giant killer robots, McDonald's. 00:43:09.440 --> 00:43:10.559 It's not McDonald's. 00:43:10.800 --> 00:43:11.199 All right. 00:43:11.519 --> 00:43:17.840 But researchers have finally come through after all this time to let us know. 00:43:18.079 --> 00:43:18.480 Yep. 00:43:19.119 --> 00:43:20.320 It's laziness. 00:43:21.519 --> 00:43:22.880 They even have a word for it. 00:43:23.119 --> 00:43:23.840 What is it called? 00:43:24.400 --> 00:43:26.079 Gradual disempowerment. 00:43:26.400 --> 00:43:26.800 Wow. 00:43:26.960 --> 00:43:27.599 That's okay. 00:43:27.840 --> 00:43:30.719 It's basically use it or lose it. 00:43:31.280 --> 00:43:32.079 I gotcha. 00:43:32.559 --> 00:43:33.199 Alright. 00:43:37.920 --> 00:43:46.480 Honestly, after watching people ask GT chat GPT to write breakup texts and excuse notes and wedding vows, I think the robots may have a case out. 00:43:48.159 --> 00:43:59.840 This fancy academic phrase that is a gradual disempowerment means that humans are becoming so dependent on AI, listen closely. 00:44:00.400 --> 00:44:07.440 Because I always say this, is that eventually nobody remembers how to do anything. 00:44:07.760 --> 00:44:09.360 Do

you remember phone numbers? 00:44:09.599 --> 00:44:10.639 No, I don't need to. 00:44:10.719 --> 00:44:11.360 I have a phone. 00:44:11.599 --> 00:44:12.000 That's it. 00:44:12.159 --> 00:44:13.840 Alright, we'll go to our young producer, Peyton. 00:44:13.920 --> 00:44:14.480 Do you know what? 00:44:14.559 --> 00:44:15.760 I remember my old phone number. 00:44:16.000 --> 00:44:19.760 Do you know the phone number to your father's cell phone? 00:44:20.159 --> 00:44:20.480 No. 00:44:20.719 --> 00:44:22.719 Do you know the phone number to your mother's cell phone? 00:44:22.960 --> 00:44:23.760 I do know that one. 00:44:23.920 --> 00:44:24.960 Okay, you do know that one. 00:44:25.119 --> 00:44:26.320 See, that's that's it. 00:44:26.480 --> 00:44:28.719 And I also know my home phone number and my personal phone number. 00:44:28.880 --> 00:44:29.519 Okay, okay, okay. 00:44:29.599 --> 00:44:29.920 Well that's it. 00:44:30.320 --> 00:44:31.519 Wife's phone number, don't remember that one. 00:44:31.840 --> 00:44:38.800 So we don't remember these things, not because machines took over, but because people voluntarily handed it the keys. 00:44:39.599 --> 00:44:40.559 Think about it. 00:44:40.800 --> 00:44:52.480 If AI writes your emails, or AI summarizes your meetings, or AI schedules your calendar, AI orders your groceries, or chooses your movies, picks your route to work. 00:44:52.719 --> 00:44:55.679 At some point you're not living your life anymore. 00:44:55.920 --> 00:44:59.679 You're just approving the software that updates your existence. 00:45:00.480 --> 00:45:05.599 The researchers say one day AI could become better than humans at nearly every job. 00:45:06.800 --> 00:45:11.599 Doctors, lawyers, programmers, accountants, customer support, and yes, even radio hosts. 00:45:11.920 --> 00:45:12.400 No way. 00:45:12.639 --> 00:45:13.280 No way. 00:45:13.760 --> 00:45:15.519 Although you have met them. 00:45:16.159 --> 00:45:17.840 Let's not get ahead of ourselves though. 00:45:18.079 --> 00:45:18.239 Okay. 00:45:18.639 --> 00:45:23.920 No I no AI can think up Nathan Land politics. 00:45:24.400 --> 00:45:25.440 The craziness that we do that. 00:45:26.880 --> 00:45:28.320 No, the there that is true. 00:45:28.639 --> 00:45:30.320 The AI can't can't can't do that yet. 00:45:30.559 --> 00:45:38.159 Okay, so the researchers and the researchers are concerned that uh companies won't replace humans because they're evil. 00:45:38.639 --> 00:45:50.880 They'll replace humans because the AI shows up on time, never complains, never takes vacation, never spends forty-five minutes talking about fantasy football in a meeting, Nathan, and never microwaves fish in the office break room. 00:45:51.199 --> 00:45:55.199 In other words, AI becomes the perfect employee. 00:45:55.440 --> 00:46:04.079 Which is unfortunate because human human and the well humanity's biggest competitive advantage right now is occasionally remembering his password. 00:46:04.559 --> 00:46:04.960 Right. 00:46:05.199 --> 00:46:13.119 The experts say this can lead to a future where people lose important skills like driving, making decisions, and choosing over what is right and what is wrong. 00:46:13.679 --> 00:46:15.119 How to read an analog clock on there? 00:46:15.280 --> 00:46:16.559 Yeah, no, that that is. 00:46:16.639 --> 00:46:17.760 Can you read an analog clock? 00:46:17.920 --> 00:46:18.480 I can read an analog clock. 00:46:18.639 --> 00:46:19.280 Okay, very good. 00:46:19.360 --> 00:46:22.559 That's that's something that a lot of people can't do anymore. 00:46:24.800 --> 00:46:26.960 Let's be honest, we're already seeing it. 00:46:27.039 --> 00:46:29.360 I've been talking about this forever. 00:46:29.760 --> 00:46:33.440 And this is the this is the reason why this is so crazy making. 00:46:34.960 --> 00:46:43.199 Because we are now, after all this time, getting research to define it for us. 00:46:43.760 --> 00:46:49.280 Yay, research! Most people can't navigate without a GPS, right? 00:46:49.440 --> 00:46:49.760 Yep. 00:46:50.000 --> 00:46:52.000 Some can't do math without a calculator. 00:46:52.159 --> 00:46:56.400 And if Google downs for 10 minutes, half the planet suddenly forgets how to function. 00:46:58.559 --> 00:47:02.159 If we continue down this path, it's gonna just get much worse. 00:47:02.559 --> 00:47:04.719 You'll just keep clicking, yes. 00:47:05.039 --> 00:47:07.679 Uh, would you like AI to write that email? 00:47:07.840 --> 00:47:08.239 Yes. 00:47:08.480 --> 00:47:10.559 Would you like AI to take this call? 00:47:10.719 --> 00:47:11.360 Yes. 00:47:12.079 --> 00:47:14.480 Would you like AI to think for you? 00:47:15.280 --> 00:47:15.920 Yes. 00:47:16.480 --> 00:47:29.519 Before long, humanity becomes one giant committee meeting where nobody knows what's happening, but everybody approves the recommendations anyway, because all the self-replicating AI on your phones are telling you how to think and what to do. 00:47:30.559 --> 00:47:43.119 And if that sounds unrealistic, remember some of you have accepted a 97-page terms and conditions agreement without reading a single word because you wanted a free flashlight app. 00:47:43.679 --> 00:47:44.400 That's right. 00:47:44.639 --> 00:47:54.719 So, according to these experts, again, I think it's funny that after all this time we have to wait on the experts experts. 00:47:55.679 --> 00:48:03.760 The future isn't AI versus humanity, is humanity slowly outsourcing itself to AI. 00:48:04.480 --> 00:48:05.440 Alright. 00:48:06.000 --> 00:48:10.400 Well any commentary on that from Nathan Land? 00:48:10.639 --> 00:48:10.880 No. 00:48:11.119 --> 00:48:11.440 Okay. 00:48:11.840 --> 00:48:14.639 I I I I think I worry about that. 00:48:15.360 --> 00:48:21.519 Well the funny thing is that the funny thing is that I have I I always get in trouble for complaining about this. 00:48:21.679 --> 00:48:21.840 Yeah. 00:48:22.079 --> 00:48:29.199 You were always the one that's like positive, but but

now you're now you're now you're starting to see the dangers and you're going, uh, I might have been wrong about that. 00:48:29.519 --> 00:48:42.000 Well, all I'll say is that if you saw the newest Chat GPT ad that's running on TV, they now consider the people using their tool to create their proposal and create their advertising campaign for this new pack pack. 00:48:42.159 --> 00:48:43.920 They call it the orchestrator. 00:48:44.159 --> 00:48:57.039 So the person literally is just typing in prompts and the AI is doing all the work and they're seeing dancing around the office all happy because they had the AI do all the work for them and they did absolutely nothing. 00:48:57.119 --> 00:49:01.840 But she comes on in with her coffee and sits on down, and then she starts dancing too as an orchestrator. 00:49:01.920 --> 00:49:09.199 And I'm like, oh MG, if this is where we're at now, we the ad have like a brief cut to and then they're all sitting on the side of the road. 00:49:09.840 --> 00:49:11.599 I am the grumpiest guy on the internet. 00:49:11.920 --> 00:49:15.840 Now though, we have our secret sound, so let's move to this next segment. 00:49:16.480 --> 00:49:20.719 And now for our secret sound, brought to us by Elite Executive Services. 00:49:20.880 --> 00:49:26.159 Visit TechTimeradio.com and click on the contact page to submit your answer. 00:49:26.480 --> 00:49:28.480 Odie, play that sound. 00:49:36.320 --> 00:49:37.920 All right, do you know what that secret sound is? 00:49:38.079 --> 00:49:39.360 The pot's now at$80. 00:49:40.079 --> 00:49:48.239 If you do, go jump online at techtimeradio.com and click on our talk back system or leave us a message at 206-649-6098. 00:49:48.559 --> 00:49:50.719 206-649-6098. 00:49:50.880 --> 00:49:52.079 Now though, we have a commercial break. 00:49:52.719 --> 00:49:55.599 So now would be a good time to enjoy a little whiskey on the side. 00:49:55.920 --> 00:49:56.480 Hey Mike. 00:49:56.719 --> 00:49:57.440 Yeah, what's up? 00:49:57.599 --> 00:49:58.719 Hey, so you know what? 00:49:58.800 --> 00:50:01.920 We need people to start liking our uh social media pages. 00:50:02.079 --> 00:50:07.679 If you like our show, if you really like us, we could use your support on Patreon.com. 00:50:07.840 --> 00:50:08.719 Or is it Patreon? 00:50:08.800 --> 00:50:09.679 I think it's Patreon. 00:50:09.840 --> 00:50:10.559 Okay, Patreon. 00:50:10.639 --> 00:50:14.320 If you really like us, you can say I the English guy patreon.com. 00:50:14.719 --> 00:50:16.239 I I butcher the English language? 00:50:16.480 --> 00:50:18.000 You know you butcher the English language. 00:50:18.239 --> 00:50:18.800 So it's all the time. 00:50:19.039 --> 00:50:20.000 It's patreon.com. 00:50:20.400 --> 00:50:21.280 Patreon.com. 00:50:21.519 --> 00:50:27.199 If you really like if you really like our show, you can subscribe to patreon.com and help us out. 00:50:27.519 --> 00:50:29.119 And you can visit us on that Facebook platform. 00:50:29.280 -->

00:50:30.800 You know the one that Zuckerberg owns? 00:50:31.039 --> 00:50:32.239 The one that we always bag on? 00:50:32.400 --> 00:50:34.320 Yeah, you can we're on Facebook too. 00:50:34.480 --> 00:50:35.679 Yeah, like us on Facebook. 00:50:35.920 --> 00:50:37.440 Do you know what our Facebook page is? 00:50:37.760 --> 00:50:38.559 Tech Time Radio. 00:50:38.719 --> 00:50:39.599 At Tech Time Radio. 00:50:39.840 --> 00:50:40.159 You know what? 00:50:40.639 --> 00:50:41.679 There's a trend here. 00:50:41.920 --> 00:50:44.800 It seems to be that there's a trend, and that's Tech Time Radio. 00:50:44.880 --> 00:50:46.480 Or you can even Instagram with us. 00:50:46.719 --> 00:50:48.559 And that's at Tech Time Radio. 00:50:48.639 --> 00:50:49.679 That's at Tech Time Radio. 00:50:49.840 --> 00:50:51.119 Or you can find us on TikTok. 00:50:51.280 --> 00:50:52.400 And it's Tech Time Radio. 00:50:52.559 --> 00:50:53.840 It's at Tech Time Radio. 00:50:54.159 --> 00:50:55.840 Like and subscribe to our social media. 00:50:56.159 --> 00:50:56.800 Like us today. 00:50:56.880 --> 00:50:58.000 We need you to like us. 00:50:58.159 --> 00:50:59.440 Like us and subscribe. 00:50:59.679 --> 00:51:00.079 That's it. 00:51:00.239 --> 00:51:00.559 That's it. 00:51:00.639 --> 00:51:01.920 That's that simple. 00:51:03.360 --> 00:51:09.039 And now, let's look back at this week in technology. 00:51:09.599 --> 00:51:18.400 All right, we're gonna go back to Travel until October 30th, 1938, with a young broadcaster by the name of Orns Wells. 00:51:18.559 --> 00:51:18.880 Orson. 00:51:19.119 --> 00:51:19.840 Orson Wells. 00:51:20.000 --> 00:51:20.239 Orson. 00:51:20.480 --> 00:51:24.559 Orson Wells accidentally proved just how powerful media technology could be. 00:51:24.719 --> 00:51:34.079 That evening, Wells and the Mercury Theater aired a dramatic radio adaption of The War of the Worlds, the classic science fiction story about Martians invading on Earth. 00:51:34.239 --> 00:51:37.599 As the broadcast continued, some believed the invasion was actually happening. 00:51:37.760 --> 00:51:43.599 Phone lines lit up, police departments fielded calls and newspapers later reported widespread panic. 00:51:44.639 --> 00:51:48.639 Although now historians still debate exactly how many people were truly fooled. 00:51:49.039 --> 00:51:52.159 What isn't debated, though, is the lasting impact of the broadcast. 00:51:52.239 --> 00:51:58.239 The event became one of the most famous moments in radio history and an early lesson in the power of mass communications. 00:51:59.039 --> 00:52:05.280 After nearly 90 years later, we still wrestle with the fakes, AI-generated voices, and misinformation online. 00:52:05.519 --> 00:52:06.079 The lessons. 00:52:06.320 --> 00:52:10.159 The war of the worlds may never be more relevant than now. 00:52:10.719 --> 00:52:12.239 That was this week in Technology. 00:52:12.320 --> 00:52:21.679 If you ever wanted to watch some Tech Time history with over 300 plus weekly broadcasts, spending our six plus years of video, podcast, and blog information, you can visit us at techtimadio.com to watch all of our shows. 00:52:21.760 --> 00:52:22.800 We're going to take a commercial break. 00:52:22.960 --> 00:52:25.599 When we return, we have the Mark Mumble Whiskey Review. 00:52:25.840 --> 00:52:26.960 See you after this. 00:52:27.440 --> 00:52:29.280 How to See a Man About a Dog. 00:52:29.360 --> 00:52:36.320 It combines darkly comic short stories, powerful poems, and pulp fiction pros to create a heartbreaking and hilarious journey. 00:52:36.480 --> 00:52:38.159 Readers will not soon forget. 00:52:38.320 --> 00:52:43.039 Read How to See a Man About a Dog, collected writings for free with Kindle Unlimited. 00:52:43.280 --> 00:52:48.559 Ebook available on Kindle, print copies available on Amazon The Book Pository, and more. 00:52:53.199 --> 00:52:55.840 The segment we've been waiting all week for. 00:53:11.119 --> 00:53:12.000 He get kicked off. 00:53:12.079 --> 00:53:13.119 He's gonna go party. 00:53:13.360 --> 00:53:16.880 So now we have uh our producer Peyton taking over. 00:53:17.119 --> 00:53:18.800 Peyton, take over this segment. 00:53:19.119 --> 00:53:28.000 From uh this is their flagship single malt is described as an elegant and fruity with flavors of citrus, peach, apricot, and spice. 00:53:28.159 --> 00:53:37.360 More specifically, they find notes of lemon, pastel, peach, and apricot, giving the whiskey additional body and sweetnesses. 00:53:37.519 --> 00:53:40.719 It's 100% organic Scotland malt barley. 00:53:40.960 --> 00:53:42.800 And the price is$85. 00:53:43.280 --> 00:53:43.599 $85. 00:53:43.920 --> 00:53:45.599 And we're gonna see you out on the pick of the day if we like it. 00:53:45.840 --> 00:53:46.320 I'm liking it. 00:53:46.480 --> 00:53:47.119 How about you, Mike? 00:53:47.199 --> 00:53:47.840 Are you liking it? 00:53:47.920 --> 00:53:48.239 Yeah. 00:53:48.400 --> 00:53:48.719 All right. 00:53:48.880 --> 00:53:49.199 All right. 00:53:49.360 --> 00:53:49.920 But you know what? 00:53:50.000 --> 00:53:54.400 Now let's prepare for our technology fail of the week brought to us by Elite Executive Services. 00:53:56.800 --> 00:53:58.079 Congratulations. 00:53:58.239 --> 00:53:59.599 You're a failure. 00:53:59.920 --> 00:54:01.440 Oh, I failed. 00:54:01.519 --> 00:54:02.000 Did I? 00:54:02.239 --> 00:54:02.719 Yes. 00:54:02.960 --> 00:54:03.679 Did I? 00:54:03.840 --> 00:54:04.239 Yes. 00:54:04.480 --> 00:54:11.440 Alright, this week's technology fail goes to Capcom, proving that it's impossible to lose two fights at the same time. 00:54:11.599 --> 00:54:12.079 Or is it? 00:54:12.400 --> 00:54:22.639 First hackers breach Capcom's ID system, exposing data tied to more than one uh eleven thousand point seven million. 00:54:22.960 --> 00:54:25.039 11.7 million player accounts. 00:54:25.119 --> 00:54:25.920 Sorry, let's try that. 00:54:26.079 --> 00:54:34.880 First hackers breach Capcom's ID system,

exposing data tied to more than 11.7 million players' accounts. 00:54:35.039 --> 00:54:37.920 Well, the company said credit card information wasn't compromised. 00:54:38.000 --> 00:54:43.039 Millions of gamers are now being advised to watch out for suspicious emails and account activity. 00:54:43.280 --> 00:54:52.480 Now the second punch came with the new Street Fighter movie that opened up at about$51 million worldwide against the reported$82 million production budget. 00:54:52.639 --> 00:55:02.400 And the industry analysts estimate that it'll need to make anywhere between$164 million and$205 million at the global box office before it's considered a financial success. 00:55:02.639 --> 00:55:03.599 So just think about this. 00:55:03.760 --> 00:55:07.199 In one week, Capcom got hacked online and took a beating at the theater. 00:55:07.440 --> 00:55:11.519 All this points to a giant arcade machine flashing you lose. 00:55:11.760 --> 00:55:13.519 Instant coin to continue. 00:55:13.760 --> 00:55:14.079 Okay. 00:55:14.320 --> 00:55:17.199 And now our pick of the day, whiskey tastings. 00:55:18.719 --> 00:55:22.480 And now our pick of the day for our whiskey tastings. 00:55:23.280 --> 00:55:25.440 Let's see what bubbles to the top. 00:55:25.679 --> 00:55:28.000 All right, Mike, thumbs up or thumbs down? 00:55:28.320 --> 00:55:30.480 Uh I'm gonna give this a thumbs up. 00:55:30.719 --> 00:55:33.840 You know, I'm not I'm not a huge Scotch drinker, but I like it. 00:55:34.000 --> 00:55:34.480 I like it too. 00:55:34.559 --> 00:55:35.119 I liked it too. 00:55:35.280 --> 00:55:36.559 Peyton, did you like it a little bit? 00:55:36.800 --> 00:55:37.760 It's not my preference. 00:55:37.920 --> 00:55:38.480 Not your preference? 00:55:38.559 --> 00:55:38.639 Okay. 00:55:38.880 --> 00:55:39.280 Not my preference. 00:55:39.519 --> 00:55:42.400 Well, Mike and I are gonna give it two thumbs up. 00:55:42.559 --> 00:55:43.760 Well, Mike, we're about out of time. 00:55:43.840 --> 00:55:45.599 We want to thank our listeners for joining the program. 00:55:45.760 --> 00:55:47.519 It was an honor to be a host of today's show. 00:55:47.599 --> 00:55:50.159 Each week we're here to decode the technology that shapes your world. 00:55:50.239 --> 00:55:52.320 One breach, breakthrough, and bourbon at a time. 00:55:52.480 --> 00:55:55.760 Remember, the science of tomorrow starts with the technology of today. 00:55:55.920 --> 00:55:56.960 See you next week. 00:55:57.199 --> 00:55:58.239 Bye-bye. 00:55:59.599 --> 00:56:01.760 Thanks for joining us on Tech Time Radio. 00:56:01.920 --> 00:56:07.360 We hope that you had a chance to have that hmm moment today in technology. 00:56:07.599 --> 00:56:08.960 The fun doesn't stop there. 00:56:09.119 --> 00:56:18.239 We recommend that you go to techtime radio.com and join our fan list for the most important aspect of staying connected and winning some really great monthly prizes. 00:56:18.480 --> 00:56:26.639 We also have a few other ways to stay connected, including subscribing to our podcast on any podcast service, from Apple to Google and everything in between. 00:56:26.880 --> 00:56:28.000 We're also on YouTube. 00:56:28.400 --> 00:56:33.119 So check us out on YouTube.comslash tech time radio. 00:56:33.280 --> 00:56:33.920 All one word. 00:56:34.239 --> 00:56:37.119 We hope you enjoyed the show as much as we did making it for you. 00:56:37.280 --> 00:56:40.719 From all of us at Tech Time Radio, remember Mum's the Word. 00:56:40.880 --> 00:56:42.480 Have a safe and fantastic week. 00:56:42.639 --> 00:56:44.000 A safe and fantastic week. 00:56:44.159 --> 00:56:45.440 A safe and fantastic week. 00:56:45.599 --> 00:56:46.719 A safe and fantastic week.