1 00:00:04,480 --> 00:00:12,360 Speaker 1: Welcome to tech Stuff, a production from iHeartRadio. Hey there, 2 00:00:12,400 --> 00:00:16,120 Speaker 1: and welcome to tech Stuff. I'm your host, Jonathan Strickland. 3 00:00:16,160 --> 00:00:19,200 Speaker 1: I'm an executive producer with iHeart Podcasts and how the 4 00:00:19,280 --> 00:00:21,880 Speaker 1: tech are you. It's time for the tech news for 5 00:00:21,920 --> 00:00:26,079 Speaker 1: the week ending on Friday, May third, twenty twenty four. 6 00:00:26,560 --> 00:00:30,240 Speaker 1: And kicking things off, we've got a devastating story involving 7 00:00:30,320 --> 00:00:34,839 Speaker 1: ransomware hackers and the largest health insurance company in the world, 8 00:00:35,159 --> 00:00:39,479 Speaker 1: at least as measured by revenue. We're talking about United Health, 9 00:00:39,840 --> 00:00:44,440 Speaker 1: and that company's CEO, Andrew Whitty, faced some pretty tough 10 00:00:44,560 --> 00:00:48,800 Speaker 1: questions from US senators this week due to hackers stealing 11 00:00:48,840 --> 00:00:54,440 Speaker 1: a quote unquote substantial amount of sensitive medical data belonging 12 00:00:54,480 --> 00:01:00,000 Speaker 1: to anywhere from one third to half of all Americans, 13 00:01:00,440 --> 00:01:03,960 Speaker 1: which is a big o' yaalza. Okay. So United Health 14 00:01:04,319 --> 00:01:08,960 Speaker 1: is obviously a huge player in health insurance, the hugest 15 00:01:09,120 --> 00:01:12,000 Speaker 1: you could argue. And on top of that, back in 16 00:01:12,040 --> 00:01:17,040 Speaker 1: early twenty twenty three, United Health acquired another health company. 17 00:01:17,360 --> 00:01:20,560 Speaker 1: It's a company that was called Change Healthcare. Now, this 18 00:01:20,640 --> 00:01:25,000 Speaker 1: company specialized in payment platforms for health services and in 19 00:01:25,000 --> 00:01:30,959 Speaker 1: fact handled payments for like fifty percent of all medical 20 00:01:31,000 --> 00:01:36,000 Speaker 1: payments in the United States, but apparently Change Healthcare's computer 21 00:01:36,120 --> 00:01:42,120 Speaker 1: systems weren't really hardened properly against hacker intrusions, and sure enough, 22 00:01:42,400 --> 00:01:46,160 Speaker 1: some folks from the infamous hacker group Alpha, which is 23 00:01:46,200 --> 00:01:50,040 Speaker 1: the same group that helped infiltrate MGM resorts last year, 24 00:01:50,520 --> 00:01:54,400 Speaker 1: they managed to use some stolen credentials to access a 25 00:01:54,560 --> 00:01:58,559 Speaker 1: Change Healthcare server in February of this year. And then 26 00:01:58,760 --> 00:02:02,440 Speaker 1: that we go from there. So they apparently took a 27 00:02:03,240 --> 00:02:06,840 Speaker 1: crap ton of data and whity claimed that the server 28 00:02:07,160 --> 00:02:10,000 Speaker 1: had been scheduled to be upgraded to bring it security 29 00:02:10,080 --> 00:02:13,560 Speaker 1: up to par, that this wasn't really United Health's fault, 30 00:02:13,840 --> 00:02:16,440 Speaker 1: This was an issue with Change Healthcare, you know, the 31 00:02:16,480 --> 00:02:19,760 Speaker 1: company that now was part of United Health, and that 32 00:02:20,080 --> 00:02:22,640 Speaker 1: this group of servers were meant to be upgraded so 33 00:02:22,680 --> 00:02:26,600 Speaker 1: that they would be brought on par with United Health 34 00:02:26,760 --> 00:02:31,640 Speaker 1: security practices. And you know that might be true, but 35 00:02:32,080 --> 00:02:36,359 Speaker 1: we all know you're only as secure as your weakest link, 36 00:02:37,000 --> 00:02:40,160 Speaker 1: which makes me wonder why United Health didn't hold off 37 00:02:40,200 --> 00:02:44,920 Speaker 1: on integrating the Change Healthcare servers into their overall system 38 00:02:45,160 --> 00:02:48,040 Speaker 1: until after these security upgrades took place. I mean, that 39 00:02:48,200 --> 00:02:50,399 Speaker 1: to me would make sense right, like, you don't want 40 00:02:50,440 --> 00:02:53,120 Speaker 1: to incorporate that and bring it under the umbrella of 41 00:02:53,160 --> 00:02:57,359 Speaker 1: everything else. Even if it only affected change healthcare systems, 42 00:02:57,360 --> 00:03:00,680 Speaker 1: that would have been enough. But to potentially get access 43 00:03:00,680 --> 00:03:04,640 Speaker 1: to other things is even worse. So this is not 44 00:03:04,760 --> 00:03:08,240 Speaker 1: as bad as what would follow. In my opinion, maybe 45 00:03:08,280 --> 00:03:10,840 Speaker 1: it is as bad. This is equally as bad, I'll say, 46 00:03:11,080 --> 00:03:14,280 Speaker 1: because United Health went ahead and paid the ransom twenty 47 00:03:14,320 --> 00:03:18,799 Speaker 1: two million dollars worth of cryptocurrency. Now, I know I'm 48 00:03:18,800 --> 00:03:22,160 Speaker 1: a broken record about this, but paying ransoms is a 49 00:03:22,320 --> 00:03:27,359 Speaker 1: bad idea. It reinforces that this kind of attack is profitable, 50 00:03:27,639 --> 00:03:30,520 Speaker 1: that it works if you pay them. That just sends 51 00:03:30,520 --> 00:03:33,080 Speaker 1: the message of hey, this is a way to get 52 00:03:33,120 --> 00:03:35,640 Speaker 1: stink and rich. This means that we're just going to 53 00:03:35,680 --> 00:03:37,480 Speaker 1: see more of these attacks in the future. It just 54 00:03:37,600 --> 00:03:41,520 Speaker 1: encourages future attacks. It doesn't help. And worse than that, 55 00:03:41,960 --> 00:03:45,240 Speaker 1: as United Health is now discovering, paying the ransom doesn't 56 00:03:45,240 --> 00:03:47,800 Speaker 1: necessarily mean that the attackers are going to play ball 57 00:03:47,920 --> 00:03:51,960 Speaker 1: and make good on their promises. So lawmakers grilled Witty 58 00:03:52,080 --> 00:03:55,000 Speaker 1: about the potential disruptions in American health care that can 59 00:03:55,080 --> 00:03:57,600 Speaker 1: result due to this attack, not to mention the implications 60 00:03:57,640 --> 00:03:59,760 Speaker 1: of all that data that was stolen. You know, you 61 00:03:59,760 --> 00:04:02,640 Speaker 1: got to remember this is the same governmental body that 62 00:04:02,720 --> 00:04:07,000 Speaker 1: recently came down hard on TikTok for potentially siphoning American 63 00:04:07,120 --> 00:04:10,640 Speaker 1: data to China. Now, when you think about the stuff 64 00:04:10,680 --> 00:04:12,640 Speaker 1: that's on TikTok, you're like, Okay, well that could be 65 00:04:12,720 --> 00:04:15,760 Speaker 1: like location data things like that. But most of the 66 00:04:15,800 --> 00:04:19,160 Speaker 1: content on TikTok and stuff like Prank's stunts and dances, 67 00:04:19,200 --> 00:04:23,440 Speaker 1: so at least on a surface level, it seems pretty harmless. 68 00:04:23,760 --> 00:04:26,640 Speaker 1: But now we're talking about a case where sensitive medical 69 00:04:26,720 --> 00:04:29,520 Speaker 1: data had been stolen, So you figure this has got 70 00:04:29,560 --> 00:04:31,920 Speaker 1: to be a much bigger deal, right, This is way 71 00:04:31,960 --> 00:04:38,040 Speaker 1: worse than potentially a siphon line of data to China. 72 00:04:38,480 --> 00:04:41,159 Speaker 1: You got to have your priorities. Something tells me that 73 00:04:41,200 --> 00:04:43,560 Speaker 1: Whitty is going to end up just being fine by 74 00:04:43,560 --> 00:04:45,760 Speaker 1: the end of the day. I mean, he's the CEO 75 00:04:45,880 --> 00:04:49,680 Speaker 1: of one of the largest companies in the world by revenue. 76 00:04:50,040 --> 00:04:53,480 Speaker 1: But hey, I'm willing for the Senate to prove me wrong. Now. 77 00:04:53,520 --> 00:04:57,520 Speaker 1: In the ongoing tale of consolidating media companies, Sony Pictures 78 00:04:57,640 --> 00:05:00,680 Speaker 1: Entertainment has made a move to acquire Paramount Global for 79 00:05:00,760 --> 00:05:05,920 Speaker 1: the princely sum of twenty six billion dollars cash. That's 80 00:05:06,040 --> 00:05:09,160 Speaker 1: billion with a B. Sony is doing this in partnership 81 00:05:09,200 --> 00:05:12,560 Speaker 1: with Apollo Global Management, which is a retirement solutions and 82 00:05:12,680 --> 00:05:16,279 Speaker 1: asset management company. Honestly, when I read a description like 83 00:05:16,320 --> 00:05:18,640 Speaker 1: that for what a company does, it's so vague. It 84 00:05:18,680 --> 00:05:20,479 Speaker 1: makes me think of a friend of mine who used 85 00:05:20,480 --> 00:05:24,920 Speaker 1: to say his family was in quote unquote waste management business, 86 00:05:25,000 --> 00:05:27,800 Speaker 1: and he would actually do the air quotes while saying it. 87 00:05:28,080 --> 00:05:31,680 Speaker 1: So a shout out to you, Frankie big House. Interestingly, 88 00:05:32,040 --> 00:05:35,719 Speaker 1: Paramount is already in acquisition talks with another media company 89 00:05:35,720 --> 00:05:38,760 Speaker 1: called sky Dance. As I understand it, the date for 90 00:05:38,880 --> 00:05:41,880 Speaker 1: that agreement, whether it goes forward or not, ends today. 91 00:05:42,680 --> 00:05:45,400 Speaker 1: Sky Dance, in the Grand Scheme of Things, is a 92 00:05:45,440 --> 00:05:48,800 Speaker 1: relatively upstart media company. It traces its history back to 93 00:05:48,839 --> 00:05:51,440 Speaker 1: two thousand and six. Sky Dance in Paramount and I 94 00:05:51,440 --> 00:05:54,039 Speaker 1: have been in partnership on and off for many years. 95 00:05:54,120 --> 00:05:57,120 Speaker 1: They've worked together quite a bit. But anyway, Paramountain has 96 00:05:57,160 --> 00:06:00,240 Speaker 1: been going through quite the shakeup recently. Earlier this week, 97 00:06:00,440 --> 00:06:04,840 Speaker 1: the media conglomerate said goodbye to its now former CEO, 98 00:06:05,279 --> 00:06:09,400 Speaker 1: Bob Bakish and replaced him with a triumvirate of executives 99 00:06:09,480 --> 00:06:13,960 Speaker 1: that includes George Cheeks, who's president and CEO of CBS, 100 00:06:14,200 --> 00:06:17,479 Speaker 1: Chris McCarthy who's the head of MTV and Showtime and 101 00:06:17,680 --> 00:06:21,159 Speaker 1: several other networks, and Brian Robbins, the studio chief of 102 00:06:21,160 --> 00:06:25,000 Speaker 1: Paramount Pictures. Now, the industry as a whole, of traditional 103 00:06:25,040 --> 00:06:28,640 Speaker 1: media has clearly really been struggling. You know. Cord cutters 104 00:06:28,680 --> 00:06:32,400 Speaker 1: have been ditching cable packages and streaming services are trying 105 00:06:32,440 --> 00:06:34,800 Speaker 1: to find a way to stand out from the crowd 106 00:06:34,880 --> 00:06:37,800 Speaker 1: while also creating a profitable business, which is really hard 107 00:06:37,839 --> 00:06:41,839 Speaker 1: in that space. I wouldn't necessarily call either Paramount or 108 00:06:42,000 --> 00:06:45,919 Speaker 1: Sony a sinking ship. I think that's overstating things. But 109 00:06:46,400 --> 00:06:49,799 Speaker 1: considering the volatility that's in the media landscape right now, 110 00:06:49,960 --> 00:06:52,560 Speaker 1: this feels kind of like a bunch of big boats 111 00:06:52,560 --> 00:06:55,279 Speaker 1: that are caught in very rough seas hoping that by 112 00:06:55,360 --> 00:07:00,560 Speaker 1: lashing themselves together they might weather the storm more effectively. Plus, 113 00:07:00,600 --> 00:07:04,560 Speaker 1: we can't let Disney own everything. Right over at Tesla, 114 00:07:04,920 --> 00:07:08,839 Speaker 1: Elon Musk has been making some brutal cuts in personnel. 115 00:07:09,120 --> 00:07:12,640 Speaker 1: As QZ dot COM's William Gavin puts it, the cuts 116 00:07:12,680 --> 00:07:16,680 Speaker 1: have affected quote almost every corner of the company, from 117 00:07:16,720 --> 00:07:21,480 Speaker 1: senior level executives to summer interns just weeks away from employment. 118 00:07:21,800 --> 00:07:25,320 Speaker 1: In the quote that's from an article that's titled not 119 00:07:25,440 --> 00:07:29,280 Speaker 1: even Tesla interns are saved from elon Musk's cost cutting. 120 00:07:29,680 --> 00:07:32,040 Speaker 1: The cuts are in line with Musk's announcement that the 121 00:07:32,040 --> 00:07:35,960 Speaker 1: company would downsize by around ten percent, and that in 122 00:07:36,000 --> 00:07:39,800 Speaker 1: itself reportedly is a much smaller cut, like half of 123 00:07:39,840 --> 00:07:43,440 Speaker 1: what Musk initially wanted to do. One department that was 124 00:07:43,560 --> 00:07:49,200 Speaker 1: absolutely eliminated by these cuts is Tesla's supercharger division. That 125 00:07:49,320 --> 00:07:52,280 Speaker 1: alone is a group that had five hundred people in it. 126 00:07:52,520 --> 00:07:55,160 Speaker 1: This is the department that created the standards for charging 127 00:07:55,200 --> 00:07:59,160 Speaker 1: Tesla's They secured build out for hundreds of charging stations. 128 00:07:59,400 --> 00:08:01,880 Speaker 1: They worked with other auto manufacturers to get them to 129 00:08:02,000 --> 00:08:05,920 Speaker 1: adopt Tesla's charging methodology as something kind of like an 130 00:08:05,960 --> 00:08:09,880 Speaker 1: industry standard. Not only did Tesla shut down that whole department, 131 00:08:09,920 --> 00:08:13,080 Speaker 1: it has also backed out of agreements to build charging 132 00:08:13,120 --> 00:08:16,000 Speaker 1: stations and crucial areas such as New York City. To 133 00:08:16,080 --> 00:08:20,320 Speaker 1: completely eliminate the supercharger group seems a bit perplexing. Tesla 134 00:08:20,480 --> 00:08:24,320 Speaker 1: arguably had a dominant position in charging technologies and could 135 00:08:24,320 --> 00:08:26,640 Speaker 1: have leveraged that moving forward. It could have been a 136 00:08:26,680 --> 00:08:30,960 Speaker 1: really big cornerstone of Tesla's business. So why make such 137 00:08:31,040 --> 00:08:33,960 Speaker 1: drastic cuts. Well, Tesla as a whole has seen a 138 00:08:34,000 --> 00:08:38,280 Speaker 1: pretty dramatic decline in sales numbers recently, and cynically. There's 139 00:08:38,320 --> 00:08:41,719 Speaker 1: also the matter of Elon Musk's pay package. That's a 140 00:08:42,000 --> 00:08:46,200 Speaker 1: forty seven billion dollar compensation package on the line, and 141 00:08:46,320 --> 00:08:49,720 Speaker 1: Musk could be looking at making these cuts until you know, 142 00:08:49,760 --> 00:08:52,480 Speaker 1: like Tesla is bleeding from a thousand cuts in an 143 00:08:52,480 --> 00:08:55,880 Speaker 1: effort to secure that MOO law shareholders will actually get 144 00:08:55,920 --> 00:08:57,920 Speaker 1: to vote on that later this year, and I can 145 00:08:58,000 --> 00:09:01,360 Speaker 1: kind of understand that motivation. He essentially lit a pile 146 00:09:01,400 --> 00:09:05,360 Speaker 1: of forty four billion dollars of cash on fire after 147 00:09:05,400 --> 00:09:07,760 Speaker 1: he bought Twitter and then did his best to reduce 148 00:09:07,800 --> 00:09:10,760 Speaker 1: its value to nothing, so he needs to refresh the 149 00:09:10,800 --> 00:09:14,439 Speaker 1: cash pile somehow. Plus judges keep having this nasty habit 150 00:09:14,480 --> 00:09:17,760 Speaker 1: of striking down his compensation package and denying him billions 151 00:09:17,800 --> 00:09:20,480 Speaker 1: of dollars. Anyway, I'm not going to spend any time 152 00:09:20,520 --> 00:09:24,720 Speaker 1: worrying about Elon Musk's financial future. I'm wishing all the 153 00:09:24,760 --> 00:09:27,840 Speaker 1: folks who are affected by these recent cuts the absolute 154 00:09:27,880 --> 00:09:33,480 Speaker 1: best of luck in finding gainful and satisfying employment elsewhere. Okay, 155 00:09:33,840 --> 00:09:36,360 Speaker 1: we've got several other news stories to get through before 156 00:09:36,360 --> 00:09:48,840 Speaker 1: we get to that. Let's take a quick break. We're back, 157 00:09:48,920 --> 00:09:51,120 Speaker 1: and you know. Tesla is not the only big tech 158 00:09:51,160 --> 00:09:54,719 Speaker 1: company cutting jobs this week. CNBC reports that Google is 159 00:09:54,800 --> 00:09:58,800 Speaker 1: laying off hundreds of core employees from around two hundred. 160 00:09:58,880 --> 00:10:01,080 Speaker 1: It sounds like and for some of these roles, Google 161 00:10:01,120 --> 00:10:04,960 Speaker 1: will shift responsibilities to new team members, except these team 162 00:10:05,000 --> 00:10:08,160 Speaker 1: members will be in places like Mexico and India. This 163 00:10:08,280 --> 00:10:11,520 Speaker 1: falls in line with earlier cuts across Alphabets companies. Just 164 00:10:11,559 --> 00:10:15,120 Speaker 1: a reminder, Alphabets, the holding company that sits above Google, 165 00:10:15,400 --> 00:10:18,600 Speaker 1: as well as other companies like YouTube and Google. Management 166 00:10:18,640 --> 00:10:21,680 Speaker 1: has messaged that quote announcements of this sort may leave 167 00:10:21,760 --> 00:10:25,480 Speaker 1: many of you feeling uncertain or frustrated end quote, which 168 00:10:25,520 --> 00:10:30,320 Speaker 1: is both an understatement and definitely true. But management has 169 00:10:30,320 --> 00:10:32,800 Speaker 1: also said these changes are supposed to be aligned with 170 00:10:32,880 --> 00:10:35,480 Speaker 1: the company's mission and goals. And I suppose if the 171 00:10:35,520 --> 00:10:38,280 Speaker 1: mission is to shift work to labor forces that work 172 00:10:38,360 --> 00:10:41,680 Speaker 1: for much lower salaries. This is true because labor is 173 00:10:41,800 --> 00:10:44,720 Speaker 1: far less expensive in Mexico and India than in the 174 00:10:44,800 --> 00:10:48,280 Speaker 1: United states, Google is giving affected employees the chance to 175 00:10:48,320 --> 00:10:50,920 Speaker 1: apply for other jobs within the company or to use 176 00:10:51,000 --> 00:10:54,880 Speaker 1: outplacement services. So you know, I guess that's something. Speaking 177 00:10:54,960 --> 00:10:58,240 Speaker 1: of Google, one of the company's massive anti trust lawsuits, 178 00:10:58,280 --> 00:11:01,880 Speaker 1: and yes there's more than one, is wrapping up with 179 00:11:01,960 --> 00:11:05,760 Speaker 1: closing arguments today. It's the second day of closing arguments. 180 00:11:05,800 --> 00:11:09,319 Speaker 1: It's the conclusion of this long trial. This particular lawsuit 181 00:11:09,360 --> 00:11:12,760 Speaker 1: revolves around Google Search and the various ways Google has 182 00:11:12,840 --> 00:11:16,000 Speaker 1: maneuvered to get Search featured as the default search engine 183 00:11:16,000 --> 00:11:19,080 Speaker 1: on as many platforms as is possible. So the US 184 00:11:19,120 --> 00:11:23,240 Speaker 1: Department of Justice argues that Google used its considerable advantage 185 00:11:23,280 --> 00:11:28,000 Speaker 1: to restrain other competitors from serving as actual competition, thus 186 00:11:28,520 --> 00:11:32,840 Speaker 1: a monopolistic move. One example is how Google secures contracts 187 00:11:32,880 --> 00:11:36,240 Speaker 1: with handset manufacturers to make Google Search the default search 188 00:11:36,280 --> 00:11:39,360 Speaker 1: engine on the device. Now, Google's counter argument is that 189 00:11:39,679 --> 00:11:43,120 Speaker 1: it's possible to change default settings, So this really isn't 190 00:11:43,200 --> 00:11:45,679 Speaker 1: the big deal everyone says it is. But then if 191 00:11:45,720 --> 00:11:48,760 Speaker 1: it's not a big deal, why would Google spend billions 192 00:11:48,800 --> 00:11:53,160 Speaker 1: of dollars to secure these agreements? And it does spend billions, 193 00:11:53,320 --> 00:11:55,560 Speaker 1: and The New York Times revealed that in twenty twenty 194 00:11:55,600 --> 00:12:00,040 Speaker 1: one alone, Google forked over around eighteen billion dollars to 195 00:12:00,120 --> 00:12:02,640 Speaker 1: Apple in return for being the default search engine on 196 00:12:02,720 --> 00:12:07,280 Speaker 1: iOS devices. That's a lot of money. And while Google 197 00:12:07,320 --> 00:12:10,720 Speaker 1: has claimed that the reason why other companies agreed to 198 00:12:10,760 --> 00:12:13,439 Speaker 1: have Google as the default is that Google Search is 199 00:12:13,480 --> 00:12:16,360 Speaker 1: the best search engine out there, they're saying, hey, we're 200 00:12:16,400 --> 00:12:19,160 Speaker 1: not being unfair, we just happened to make the best product. 201 00:12:19,520 --> 00:12:22,160 Speaker 1: The counter to this is that even if there were 202 00:12:22,360 --> 00:12:24,559 Speaker 1: a search engine out there that would be as good 203 00:12:24,600 --> 00:12:28,480 Speaker 1: as Google, the use of that alternative is unlikely because 204 00:12:28,520 --> 00:12:33,800 Speaker 1: Google is offering these massive deals, right, these huge billion 205 00:12:33,880 --> 00:12:36,720 Speaker 1: dollar deals to have Google as the default search engine. 206 00:12:36,760 --> 00:12:39,040 Speaker 1: So if you had one that was as good or 207 00:12:39,080 --> 00:12:42,480 Speaker 1: maybe even superior to Google Search, companies still wouldn't go 208 00:12:42,559 --> 00:12:45,800 Speaker 1: with that because it doesn't come along with billions of dollars. Now, 209 00:12:45,840 --> 00:12:47,959 Speaker 1: by the time you hear this episode, the arguments may 210 00:12:47,960 --> 00:12:50,760 Speaker 1: have concluded and the judge will decide if the accusations 211 00:12:50,800 --> 00:12:54,640 Speaker 1: have merit, and if that happens, then a separate case 212 00:12:54,920 --> 00:12:58,480 Speaker 1: will be launched to decide what repercussions are to follow. 213 00:12:58,559 --> 00:13:02,000 Speaker 1: So we will continue with this later on. Plus, hey, 214 00:13:02,080 --> 00:13:04,880 Speaker 1: we still have another anti trust lawsuit to talk about 215 00:13:04,920 --> 00:13:09,600 Speaker 1: in the future switching to telecommunications companies. The US Federal 216 00:13:09,600 --> 00:13:14,000 Speaker 1: Communications Commission, or FCC, has handed down large fines to 217 00:13:14,160 --> 00:13:19,240 Speaker 1: four big telecom companies, specifically Verizon, AT and T, Sprint 218 00:13:19,440 --> 00:13:22,520 Speaker 1: and T Mobile, the big four in the United States. 219 00:13:22,800 --> 00:13:26,800 Speaker 1: So why are these companies facing huge fines while they 220 00:13:26,800 --> 00:13:32,000 Speaker 1: are alleged to have illegally shared geolocation data of their users, 221 00:13:32,240 --> 00:13:36,080 Speaker 1: their customers, essentially to third parties without first getting the 222 00:13:36,120 --> 00:13:39,960 Speaker 1: consent of those customers. More specifically, the charges that the 223 00:13:40,000 --> 00:13:44,800 Speaker 1: carriers sold geolocation data to aggregator companies, and these aggregators 224 00:13:44,840 --> 00:13:48,000 Speaker 1: then turned around and sold the information to other third 225 00:13:48,040 --> 00:13:51,679 Speaker 1: party data brokers. And according to the FCC, the telecoms 226 00:13:51,679 --> 00:13:53,920 Speaker 1: were trying to pass the buck as far as gaining 227 00:13:54,000 --> 00:13:57,960 Speaker 1: consent from users is concerned. Their strategy was to essentially 228 00:13:58,000 --> 00:14:02,480 Speaker 1: shift that responsibility further downstream to the data aggregators, which 229 00:14:02,520 --> 00:14:06,959 Speaker 1: you know didn't get that consent. The individual fines ranged 230 00:14:06,960 --> 00:14:10,240 Speaker 1: from twelve million that's for Sprint they pay the least 231 00:14:10,480 --> 00:14:13,880 Speaker 1: up to eighty million, which is for TE Mobile. And 232 00:14:13,960 --> 00:14:18,839 Speaker 1: now we get into the actually crime does pay quite well. 233 00:14:18,880 --> 00:14:21,800 Speaker 1: In fact, part of our news stories. First up, we 234 00:14:21,840 --> 00:14:25,120 Speaker 1: have the crime of tax evasion and mail fraud. The 235 00:14:25,280 --> 00:14:29,840 Speaker 1: accused is Roger Vere. He has the charming nickname of 236 00:14:29,960 --> 00:14:33,760 Speaker 1: Bitcoin Jesus, and as that name implies, Ver holds quite 237 00:14:33,800 --> 00:14:38,120 Speaker 1: a lot of bitcoin. Back in twenty fourteen, Ver renounced 238 00:14:38,120 --> 00:14:41,400 Speaker 1: his US citizenship to become a citizen of Saint Kitts 239 00:14:41,480 --> 00:14:45,360 Speaker 1: and Nevis. However, at the time when he did this, 240 00:14:45,520 --> 00:14:48,440 Speaker 1: at least according to the indictment, he happened to hold 241 00:14:48,480 --> 00:14:51,760 Speaker 1: more than one hundred and thirty thousand bitcoins and yet 242 00:14:51,840 --> 00:14:55,360 Speaker 1: did not report this to the United States before ditching 243 00:14:55,680 --> 00:14:58,720 Speaker 1: the country for the Tropics. And the US government really 244 00:14:58,800 --> 00:15:01,760 Speaker 1: likes to take its share of tax and Ver's share 245 00:15:01,840 --> 00:15:05,160 Speaker 1: reportedly is somewhere in the neighborhood of fifty million dollars. 246 00:15:05,480 --> 00:15:08,520 Speaker 1: So Spanish authorities arrested Verre on behalf of the United 247 00:15:08,560 --> 00:15:11,600 Speaker 1: States last weekend while Ver was in Spain, and now 248 00:15:11,640 --> 00:15:14,400 Speaker 1: the US wants to extradite him back to the United 249 00:15:14,400 --> 00:15:17,200 Speaker 1: States and hold him accountable for skipping town without paying 250 00:15:17,200 --> 00:15:19,640 Speaker 1: the fees. First, Honestly, I think Ver's going to be 251 00:15:19,720 --> 00:15:21,920 Speaker 1: just fine. I mean, at least assuming he still has 252 00:15:21,960 --> 00:15:24,760 Speaker 1: that significant cash of bitcoins, because if you take it 253 00:15:24,800 --> 00:15:28,400 Speaker 1: by today's value. You're talking about more than seven billion 254 00:15:28,440 --> 00:15:32,760 Speaker 1: dollars worth of money or wealth if you prefer, then 255 00:15:32,800 --> 00:15:37,080 Speaker 1: so fifty million, while a not inconsiderable sum, is barely 256 00:15:37,120 --> 00:15:40,720 Speaker 1: a drop in the bucket compared to the overall wealth 257 00:15:40,760 --> 00:15:45,360 Speaker 1: this guy has. Here's another crime that seemed to pay well, 258 00:15:45,400 --> 00:15:48,400 Speaker 1: at least up to a point. Story. It's a story 259 00:15:48,440 --> 00:15:52,680 Speaker 1: about owner oxoy. He lives in Miami, Florida, and now 260 00:15:53,000 --> 00:15:56,240 Speaker 1: he has been sentenced for his crime of passing off 261 00:15:56,320 --> 00:16:00,920 Speaker 1: shoddy technology as genuine networking gear from the company Cisco. 262 00:16:01,240 --> 00:16:04,440 Speaker 1: So Cisco has a valuable brand, right like they have 263 00:16:04,480 --> 00:16:08,560 Speaker 1: a reputation for their work their products. So Oxoi was 264 00:16:08,640 --> 00:16:12,080 Speaker 1: arrested way back in twenty twenty two for running a 265 00:16:12,080 --> 00:16:15,640 Speaker 1: scam that had lasted for several years. He would buy 266 00:16:15,760 --> 00:16:20,040 Speaker 1: up cheap components from places like China, cram these components 267 00:16:20,040 --> 00:16:23,440 Speaker 1: into cases that look like legitimate Cisco hardware, and then 268 00:16:23,560 --> 00:16:27,320 Speaker 1: sell this junk off to various customers for way more 269 00:16:27,400 --> 00:16:30,520 Speaker 1: than what he paid, though presumably under the market price 270 00:16:30,560 --> 00:16:33,920 Speaker 1: for actual legitimate Cisco hardware. And he did this from 271 00:16:33,960 --> 00:16:37,800 Speaker 1: twenty fourteen to twenty twenty two. He made hundreds of 272 00:16:37,800 --> 00:16:41,160 Speaker 1: millions of dollars in the process. Among his clientele was 273 00:16:41,200 --> 00:16:44,160 Speaker 1: the US military, and that's really where he stuck his 274 00:16:44,240 --> 00:16:46,880 Speaker 1: nose in it, because once his crimes were discovered, the 275 00:16:46,960 --> 00:16:49,840 Speaker 1: US government really began to close in on him, though 276 00:16:49,880 --> 00:16:52,280 Speaker 1: they did take their time anyway. The whole drama has 277 00:16:52,360 --> 00:16:55,040 Speaker 1: now played out because Oxoy faces six and a half 278 00:16:55,120 --> 00:16:58,880 Speaker 1: years in prison, one hundred million dollars in fines to Cisco, 279 00:16:59,400 --> 00:17:01,720 Speaker 1: and an under termined amount that will be paid to 280 00:17:02,080 --> 00:17:06,320 Speaker 1: the various customers he hoodwinked with shoddy imitations of Cisco hardware. 281 00:17:06,440 --> 00:17:08,840 Speaker 1: But hey, he had a pretty good run on the 282 00:17:08,880 --> 00:17:11,159 Speaker 1: flip side of crime. Let's talk about how Microsoft has 283 00:17:11,160 --> 00:17:13,640 Speaker 1: made it clear that police departments are not to use 284 00:17:13,960 --> 00:17:18,400 Speaker 1: products relying on Azure Open Eye services for the purposes 285 00:17:18,400 --> 00:17:21,840 Speaker 1: of facial recognition technology. So essentially, Microsoft is saying it 286 00:17:21,880 --> 00:17:23,600 Speaker 1: doesn't want to be a party to that kind of 287 00:17:23,640 --> 00:17:27,280 Speaker 1: thing and added languages in its terms and services that 288 00:17:27,320 --> 00:17:30,159 Speaker 1: make it clear that police forces around the world are 289 00:17:30,200 --> 00:17:34,840 Speaker 1: not authorized to leverage AI technologies running on Azure services 290 00:17:35,040 --> 00:17:37,920 Speaker 1: for the purposes of facial recognition. That's interesting to me 291 00:17:37,960 --> 00:17:40,399 Speaker 1: in a couple of ways. We all probably know that 292 00:17:40,440 --> 00:17:44,760 Speaker 1: facial recognition technologies as a whole have a lot of problems, 293 00:17:44,920 --> 00:17:48,600 Speaker 1: including false positives for people who belong to certain ethnic groups, 294 00:17:48,640 --> 00:17:53,480 Speaker 1: typically non white ethnic groups, and that facial recognition technology 295 00:17:53,480 --> 00:17:57,760 Speaker 1: therefore contributes to a real social problem of authorities unfairly 296 00:17:57,920 --> 00:18:03,040 Speaker 1: and unjustifiably placing hard chips on these populations. But this 297 00:18:03,160 --> 00:18:06,480 Speaker 1: also means Microsoft is kind of tacitly implying that there's 298 00:18:06,520 --> 00:18:09,439 Speaker 1: a real weakness in a technology that the company is 299 00:18:09,440 --> 00:18:14,000 Speaker 1: simultaneously spending billions of dollars developing, which is kind of 300 00:18:14,040 --> 00:18:17,639 Speaker 1: like saying, hey, AI is the future, but uh, you know, 301 00:18:17,720 --> 00:18:20,440 Speaker 1: don't use it for real important stuff because bad things 302 00:18:20,440 --> 00:18:23,600 Speaker 1: can happen. It seems like mixed messages, is what I'm saying. 303 00:18:23,960 --> 00:18:26,600 Speaker 1: But anyway, you could argue this is the responsible thing 304 00:18:26,640 --> 00:18:29,520 Speaker 1: to do, or you could be more cynical and probably 305 00:18:29,600 --> 00:18:32,960 Speaker 1: more realistic and say that Microsoft adding this language and 306 00:18:33,119 --> 00:18:35,160 Speaker 1: is really just an effort for the company to follow 307 00:18:35,200 --> 00:18:38,920 Speaker 1: the old CYA strategy. You know, if the company says 308 00:18:38,960 --> 00:18:41,879 Speaker 1: police are not supposed to use this for facial recognition, 309 00:18:42,280 --> 00:18:45,720 Speaker 1: then it's not Microsoft's fault if and when some police 310 00:18:45,800 --> 00:18:48,720 Speaker 1: force does exactly that, because they can say we told 311 00:18:48,760 --> 00:18:52,439 Speaker 1: them not to and I've got some reading recommendations for 312 00:18:52,440 --> 00:18:54,800 Speaker 1: you all before I sign off. First up is Sharon 313 00:18:54,880 --> 00:18:58,400 Speaker 1: Harding's piece for Ours Technica titled all the Ways Streaming 314 00:18:58,440 --> 00:19:02,520 Speaker 1: Services are aggravating their sscribers this Week. Obviously, the piece 315 00:19:02,600 --> 00:19:06,199 Speaker 1: highlights some frustrating decisions that the operators of various streaming 316 00:19:06,240 --> 00:19:09,919 Speaker 1: services have made that seem designed to alienate their customers, 317 00:19:10,000 --> 00:19:12,720 Speaker 1: while more traditional forms of media continue to circle the 318 00:19:12,840 --> 00:19:16,040 Speaker 1: drain fun times. Secondly, I recommend the piece by Andrew 319 00:19:16,080 --> 00:19:20,040 Speaker 1: Griffin of The Independent. It is titled humans Now share 320 00:19:20,080 --> 00:19:24,120 Speaker 1: the Web equally with bots, report warrens amid fears of 321 00:19:24,440 --> 00:19:27,520 Speaker 1: the dead Internet now. I mentioned in a recent Tech 322 00:19:27,560 --> 00:19:31,199 Speaker 1: Stuff that a report from a cybersecurity firm says that 323 00:19:31,440 --> 00:19:34,280 Speaker 1: around forty nine point six percent of all traffic on 324 00:19:34,320 --> 00:19:37,159 Speaker 1: the Internet in twenty twenty three came from bots. So 325 00:19:37,240 --> 00:19:40,560 Speaker 1: this article explores what that actually means, including the so 326 00:19:40,680 --> 00:19:43,480 Speaker 1: called dead Internet theory, which I may have to do 327 00:19:43,520 --> 00:19:46,479 Speaker 1: a full episode on in the near future. And it 328 00:19:46,640 --> 00:19:49,000 Speaker 1: just is this idea about the Internet becoming this weird 329 00:19:49,040 --> 00:19:52,920 Speaker 1: place where bots are creating and trafficking and consuming all 330 00:19:52,960 --> 00:19:56,640 Speaker 1: the information across the system, and it becomes increasingly useless 331 00:19:56,640 --> 00:20:00,000 Speaker 1: for actual human people. That's it for me for this week. 332 00:20:00,320 --> 00:20:02,680 Speaker 1: I hope you are all well, and I'll talk to 333 00:20:02,760 --> 00:20:13,640 Speaker 1: you again really soon. Tech Stuff is an iHeartRadio production. 334 00:20:13,960 --> 00:20:19,000 Speaker 1: For more podcasts from iHeartRadio, visit the iHeartRadio app, Apple Podcasts, 335 00:20:19,119 --> 00:20:21,119 Speaker 1: or wherever you listen to your favorite shows.