1 00:00:04,480 --> 00:00:12,399 Speaker 1: Welcome to tech Stuff, a production from iHeartRadio. Hey there, 2 00:00:12,440 --> 00:00:15,560 Speaker 1: and welcome to tech Stuff. I'm your host, Jonathan Strickland. 3 00:00:15,560 --> 00:00:19,119 Speaker 1: I'm an executive producer with iHeart Podcasts and how the 4 00:00:19,200 --> 00:00:21,599 Speaker 1: tech are you. It's time for the tech news for 5 00:00:21,640 --> 00:00:26,119 Speaker 1: the week ending on Friday, August thirtieth, twenty twenty four. 6 00:00:26,480 --> 00:00:29,600 Speaker 1: I feel like the entire world is at dragon Con. 7 00:00:29,880 --> 00:00:32,360 Speaker 1: I realize that that's just because I live in Atlanta. 8 00:00:32,560 --> 00:00:35,200 Speaker 1: That's where dragon CON's a big science fiction fantasy convention 9 00:00:35,240 --> 00:00:38,040 Speaker 1: if you're not familiar, And it seems like all of 10 00:00:38,040 --> 00:00:40,560 Speaker 1: my friends, like all the people I know, are currently 11 00:00:40,680 --> 00:00:44,080 Speaker 1: at dragon Con. So I'm getting a little fomo here. 12 00:00:44,240 --> 00:00:46,640 Speaker 1: But I realized a lot of y'all out there also 13 00:00:46,760 --> 00:00:50,080 Speaker 1: aren't there, So let us get lost in the warm 14 00:00:50,159 --> 00:00:55,640 Speaker 1: embrace of tech news. First up, there's an update on 15 00:00:55,840 --> 00:01:00,680 Speaker 1: the Telegram CEO Pavel Durov story. So on Wednesday, I 16 00:01:00,720 --> 00:01:05,680 Speaker 1: published an episode about Telegram, the messaging service, and how 17 00:01:05,760 --> 00:01:10,440 Speaker 1: French authorities recently detained the CEO, Pavel Durov, after his 18 00:01:10,520 --> 00:01:14,560 Speaker 1: private plane landed at an airport outside of Paris. Since then, 19 00:01:14,680 --> 00:01:18,560 Speaker 1: a court has indicted Durov on charges that he has 20 00:01:18,600 --> 00:01:23,360 Speaker 1: been complicit in numerous criminal activities that have been happening 21 00:01:23,600 --> 00:01:28,080 Speaker 1: or facilitated by the Telegram messaging service. So essentially, the 22 00:01:28,200 --> 00:01:32,400 Speaker 1: legal argument here is that Telegram has mostly hands off 23 00:01:32,560 --> 00:01:36,400 Speaker 1: policy when it comes to content moderation. They're very lax, 24 00:01:36,840 --> 00:01:39,520 Speaker 1: they don't do very much content moderation at all, and 25 00:01:39,560 --> 00:01:44,920 Speaker 1: that this means Telegram is effectively allowing crimes ranging from 26 00:01:45,440 --> 00:01:49,240 Speaker 1: terrorist acts to the spread of child sexual abuse material 27 00:01:49,400 --> 00:01:55,200 Speaker 1: see SAM material. I guess that's repetitive. It's like ATM machine. Moreover, 28 00:01:55,640 --> 00:01:59,520 Speaker 1: Telegram has a history of denying cooperation with law enforcement 29 00:01:59,560 --> 00:02:03,920 Speaker 1: officials who are conducting legal investigations into criminal activity, you know, 30 00:02:04,000 --> 00:02:07,200 Speaker 1: essentially like I've got a legal order for a wiretap 31 00:02:07,400 --> 00:02:11,280 Speaker 1: and this organization is not being compliant with it. So, 32 00:02:11,320 --> 00:02:14,920 Speaker 1: according to the charges, it's not just that Telegram failed 33 00:02:14,960 --> 00:02:20,239 Speaker 1: to cooperate with law enforcement, but that legally received requests 34 00:02:20,280 --> 00:02:23,200 Speaker 1: were just outright ignored, and that this amounts to the 35 00:02:23,240 --> 00:02:27,720 Speaker 1: same thing as assisting criminal activity, thus being complicit. And 36 00:02:27,880 --> 00:02:30,600 Speaker 1: France also has a law that states that services that 37 00:02:30,680 --> 00:02:35,840 Speaker 1: provide quote unquote cryptology solutions first have to make legal 38 00:02:35,880 --> 00:02:40,400 Speaker 1: declarations to France's cybersecurity agency in order to do so. 39 00:02:40,760 --> 00:02:45,280 Speaker 1: Legally within France. Now, Telegram does offer end to end 40 00:02:45,480 --> 00:02:50,080 Speaker 1: encryption services, but it's only for one on one communications. 41 00:02:50,280 --> 00:02:53,600 Speaker 1: Telegram also allows one to many kind of like Twitter 42 00:02:54,040 --> 00:02:58,960 Speaker 1: and also chat rooms, so those do not have encryption options, 43 00:02:59,040 --> 00:03:02,400 Speaker 1: and even for one on one communication, encryption is not 44 00:03:02,600 --> 00:03:05,680 Speaker 1: on by default, you have to turn it on manually. 45 00:03:06,400 --> 00:03:10,200 Speaker 1: Durov has already posted the five million euro bail money 46 00:03:10,440 --> 00:03:13,640 Speaker 1: that he was hit with, but he has also received 47 00:03:13,720 --> 00:03:17,520 Speaker 1: orders not to leave France until this matter has been concluded. 48 00:03:18,000 --> 00:03:21,680 Speaker 1: His brother Nikolai, who is also a co founder of Telegram, 49 00:03:22,120 --> 00:03:25,320 Speaker 1: also has a warrant out for his arrest in France. 50 00:03:25,840 --> 00:03:28,040 Speaker 1: I've got a lot of news relating to Elon Musk 51 00:03:28,160 --> 00:03:31,080 Speaker 1: and his various companies. I mean a lot, Like a 52 00:03:31,120 --> 00:03:34,840 Speaker 1: lot happened this week, I think just by coincidence. But 53 00:03:34,960 --> 00:03:37,640 Speaker 1: let's get through it. First. Up, we have a feud 54 00:03:37,920 --> 00:03:41,960 Speaker 1: brewing between a Brazilian Supreme Court judge and Elon Musk, 55 00:03:42,480 --> 00:03:46,240 Speaker 1: which I mean, that's a weird sentence, but Musk has 56 00:03:46,240 --> 00:03:51,280 Speaker 1: said that this judge, Alexandra de Mores, and I apologize 57 00:03:51,280 --> 00:03:54,560 Speaker 1: for butchering pronunciation, but that this judge has threatened to 58 00:03:54,640 --> 00:03:59,160 Speaker 1: incarcerate one of X's legal teams stationed in Brazil. If 59 00:03:59,400 --> 00:04:04,640 Speaker 1: X did not block some accounts on X that we're 60 00:04:04,680 --> 00:04:08,880 Speaker 1: operating within Brazil, those accounts, according to this judge, were 61 00:04:08,920 --> 00:04:14,320 Speaker 1: spreading misinformation and hate speech. Murkying up the waters is 62 00:04:14,320 --> 00:04:18,120 Speaker 1: the fact that Elon Musk appeared to be very cozy 63 00:04:18,720 --> 00:04:22,560 Speaker 1: with kind of a hard right leaning leader of Brazil 64 00:04:23,240 --> 00:04:26,920 Speaker 1: who is no longer the leader of Brazil, and that 65 00:04:27,720 --> 00:04:30,800 Speaker 1: the Supreme Court judge is kind of an opposition to 66 00:04:30,920 --> 00:04:35,960 Speaker 1: that particular political stance. So there's like some political tension 67 00:04:36,000 --> 00:04:41,520 Speaker 1: going on here beyond this claim that these accounts are 68 00:04:41,520 --> 00:04:46,200 Speaker 1: spreading misinformation. Now, Musk ended up replying to this request 69 00:04:46,279 --> 00:04:48,600 Speaker 1: of Hey, you need to shut this stuff down or 70 00:04:48,640 --> 00:04:52,919 Speaker 1: I'm going to arrest your lawyers here in Brazil. He 71 00:04:53,000 --> 00:04:57,800 Speaker 1: responded by shutting down X's offices in Brazil. He just 72 00:04:57,960 --> 00:05:02,839 Speaker 1: closed those offices outright. However, X is still providing service 73 00:05:03,080 --> 00:05:07,039 Speaker 1: in Brazil, it just doesn't maintain any offices there. However, 74 00:05:07,240 --> 00:05:10,960 Speaker 1: that creates a new legal issue for the company because 75 00:05:10,960 --> 00:05:15,320 Speaker 1: in Brazil, if you are providing a messaging company a 76 00:05:15,320 --> 00:05:19,200 Speaker 1: messaging service within the nation, you have to have a 77 00:05:19,320 --> 00:05:22,640 Speaker 1: presence in Brazil as well. There has to be someone 78 00:05:22,640 --> 00:05:25,560 Speaker 1: who's held accountable in the country, and by shutting down 79 00:05:25,560 --> 00:05:29,680 Speaker 1: the offices, Musk no longer has that person. So Maraz 80 00:05:29,920 --> 00:05:33,760 Speaker 1: could order X to be shut down in Brazil entirely. 81 00:05:34,440 --> 00:05:39,640 Speaker 1: And he also ordered that the bank accounts for Starlink 82 00:05:39,960 --> 00:05:44,720 Speaker 1: business in Brazil to be frozen. So Starlink is the 83 00:05:44,800 --> 00:05:48,960 Speaker 1: satellite internet service provider business. It's a branch of SpaceX, 84 00:05:48,960 --> 00:05:53,080 Speaker 1: which of course is another of Elon Musk's companies. And 85 00:05:53,520 --> 00:05:56,520 Speaker 1: y'all you know I am not a fan of Elon Musk. 86 00:05:56,680 --> 00:05:59,440 Speaker 1: I mean, I don't make that a secret, but it 87 00:05:59,480 --> 00:06:03,160 Speaker 1: does seem like a pretty drastic case of overreach if 88 00:06:03,200 --> 00:06:07,160 Speaker 1: you ask me, because X and Starlink are not part 89 00:06:07,160 --> 00:06:10,400 Speaker 1: of the same company. They may have the same obnoxious 90 00:06:10,600 --> 00:06:14,800 Speaker 1: dude behind them, but they aren't the same company. And 91 00:06:15,160 --> 00:06:18,560 Speaker 1: to shut down the assets of one company in order 92 00:06:18,640 --> 00:06:25,159 Speaker 1: to force a different company to follow your your legal rulings, 93 00:06:25,680 --> 00:06:28,960 Speaker 1: that strikes me as being very wrong. I also think 94 00:06:29,000 --> 00:06:31,680 Speaker 1: it's important to remember Elon Musk technically he's not the 95 00:06:31,680 --> 00:06:35,039 Speaker 1: CEO of X anymore. He hasn't been the CEO of 96 00:06:35,360 --> 00:06:40,839 Speaker 1: X for ages. It's Yakarino who's the CEO. But everyone 97 00:06:41,320 --> 00:06:44,719 Speaker 1: essentially assumes he's ultimately the one calling the shots over 98 00:06:44,760 --> 00:06:49,320 Speaker 1: at X, even if Yakarino is nominally CEO. I hate 99 00:06:49,320 --> 00:06:52,080 Speaker 1: to even use that phrase. I'm sure Yakarino does a 100 00:06:52,120 --> 00:06:55,800 Speaker 1: lot of work. I have no idea what her day 101 00:06:55,839 --> 00:06:58,520 Speaker 1: to day has to be like, nor do I understand 102 00:06:58,560 --> 00:07:00,800 Speaker 1: what it must be like to work at a company 103 00:07:00,800 --> 00:07:03,840 Speaker 1: where everyone just assumes that you are a figurehead. And 104 00:07:04,160 --> 00:07:07,320 Speaker 1: I honestly don't know the extent to which that accusation 105 00:07:07,520 --> 00:07:11,320 Speaker 1: could be true. It's a crazy world, Elon Musk's world 106 00:07:11,520 --> 00:07:15,320 Speaker 1: in particular. Well, if the judge orders X to get 107 00:07:15,320 --> 00:07:18,080 Speaker 1: shut down in Brazil, presumably the way that would work 108 00:07:18,440 --> 00:07:22,440 Speaker 1: is he would order Brazilian telecommunications companies to just block 109 00:07:22,600 --> 00:07:26,360 Speaker 1: all traffic to X within the country, because clearly the 110 00:07:26,440 --> 00:07:30,680 Speaker 1: judge can't force X to shut down operations in Brazil. 111 00:07:30,720 --> 00:07:33,440 Speaker 1: I don't even know how X would do that to 112 00:07:33,520 --> 00:07:38,440 Speaker 1: begin with, but he could force the various telecommunications companies 113 00:07:38,920 --> 00:07:44,600 Speaker 1: to block traffic to X. However, people in Brazil could 114 00:07:44,600 --> 00:07:48,239 Speaker 1: potentially still get to X by using a VPN service 115 00:07:48,280 --> 00:07:52,120 Speaker 1: that was based outside of the country. Anyway, X and 116 00:07:52,320 --> 00:07:56,800 Speaker 1: Starlink have both accused the judge of breaking Brazilian law 117 00:07:56,960 --> 00:07:59,920 Speaker 1: and say they will escalate legal proceedings within the country. 118 00:08:00,240 --> 00:08:02,920 Speaker 1: I have no idea how that works, because at least 119 00:08:02,960 --> 00:08:04,480 Speaker 1: here in the United States, once you get up to 120 00:08:04,520 --> 00:08:08,560 Speaker 1: the Supreme Court level, there's nowhere else to go. That's 121 00:08:08,920 --> 00:08:11,680 Speaker 1: that's the top. But it definitely seems to me like 122 00:08:12,320 --> 00:08:15,600 Speaker 1: the judge is going a little judge dread over there. 123 00:08:16,200 --> 00:08:19,960 Speaker 1: So I'm sure there's a lot more complex issues at 124 00:08:20,040 --> 00:08:23,400 Speaker 1: play in this story. Maybe I'll do a full episode 125 00:08:23,440 --> 00:08:25,920 Speaker 1: about it in the future, because I think it does 126 00:08:25,960 --> 00:08:30,080 Speaker 1: require a nuanced approach to kind of understand everything that's 127 00:08:30,160 --> 00:08:32,560 Speaker 1: going on. I'm sure it's not a black and white 128 00:08:32,920 --> 00:08:37,040 Speaker 1: situation for either side, But I don't know that freezing 129 00:08:37,080 --> 00:08:41,439 Speaker 1: of assets for starlink, it just strikes me as like, 130 00:08:41,600 --> 00:08:44,840 Speaker 1: how could there be a legal basis for that. I 131 00:08:44,880 --> 00:08:48,120 Speaker 1: guess if you argue that there was like a single 132 00:08:48,200 --> 00:08:52,640 Speaker 1: parent company and all these other companies were underneath that, 133 00:08:52,960 --> 00:08:55,440 Speaker 1: maybe then, but I don't think that's how the corporate 134 00:08:55,480 --> 00:09:00,160 Speaker 1: structure works between SpaceX and X apart from the fact 135 00:09:00,200 --> 00:09:03,480 Speaker 1: that they share Elon Musk's you know, obsession with the 136 00:09:03,600 --> 00:09:08,480 Speaker 1: letter X. Meanwhile, over here in the United States, X, 137 00:09:08,920 --> 00:09:12,400 Speaker 1: formerly known as Twitter, was kind of a caught out 138 00:09:12,600 --> 00:09:16,560 Speaker 1: when it marked links to an NPR news story as 139 00:09:16,640 --> 00:09:22,000 Speaker 1: being unsafe. So, yeah, X will not block accounts in 140 00:09:22,000 --> 00:09:24,840 Speaker 1: Brazil because that's a free speech issue, but here in 141 00:09:24,840 --> 00:09:28,439 Speaker 1: the US, it will label NPR stories as being unsafe. 142 00:09:28,800 --> 00:09:30,920 Speaker 1: So if you try to find out what the deal 143 00:09:31,040 --> 00:09:35,719 Speaker 1: is between Donald Trump's staff, campaign staff and an employee 144 00:09:35,720 --> 00:09:38,880 Speaker 1: of Arlington National Cemetery by following a link to an 145 00:09:38,960 --> 00:09:41,600 Speaker 1: NPR story on the matter, then you're told, hey, you 146 00:09:41,640 --> 00:09:43,760 Speaker 1: don't want to do that. This is taking you to 147 00:09:43,840 --> 00:09:47,320 Speaker 1: a bad place. The unsafe marker is typically something that 148 00:09:47,360 --> 00:09:50,960 Speaker 1: pops up if the link is to a site that's 149 00:09:51,080 --> 00:09:54,600 Speaker 1: known to host like militious software or sometimes things like 150 00:09:54,640 --> 00:10:01,280 Speaker 1: outright misinformation. Now, NPR might occasionally play some truly terrible 151 00:10:01,400 --> 00:10:04,079 Speaker 1: jazz on the radio, but I wouldn't go so far 152 00:10:04,120 --> 00:10:07,440 Speaker 1: as to call it malicious. The warning was in the 153 00:10:07,480 --> 00:10:09,840 Speaker 1: form of a pop up as well. It wasn't just 154 00:10:09,960 --> 00:10:12,920 Speaker 1: like a little label. If you clicked on the link, 155 00:10:12,920 --> 00:10:15,400 Speaker 1: you would get a pop up and it would say 156 00:10:16,080 --> 00:10:19,200 Speaker 1: that this link might be unsafe, and then there'd be 157 00:10:19,240 --> 00:10:21,440 Speaker 1: some text, and underneath that would be a big old 158 00:10:21,480 --> 00:10:23,760 Speaker 1: blue button that if you clicked on, it would just 159 00:10:23,760 --> 00:10:26,720 Speaker 1: take you right back to X, so it would, you know, 160 00:10:27,440 --> 00:10:31,240 Speaker 1: derail you from going to NPR. Beneath that big old 161 00:10:31,240 --> 00:10:34,880 Speaker 1: blue button is a smaller line of text with a 162 00:10:34,960 --> 00:10:38,319 Speaker 1: hyperlink that would let you continue on to read the 163 00:10:38,480 --> 00:10:43,240 Speaker 1: news story. So that is kind of crazy right now. 164 00:10:43,280 --> 00:10:47,120 Speaker 1: This could just be a simple mistake, but Musk has 165 00:10:47,160 --> 00:10:52,559 Speaker 1: already shown contempt for NPR because previously he labeled NPR 166 00:10:52,720 --> 00:10:58,160 Speaker 1: as a state affiliated media outlet. Typically that label indicates 167 00:10:58,360 --> 00:11:02,920 Speaker 1: a media company that is controlled by a governmental body, 168 00:11:03,320 --> 00:11:06,760 Speaker 1: like it's a propaganda arm. In other words, that is 169 00:11:06,880 --> 00:11:10,440 Speaker 1: not what NPR is. NBR receives a little bit of 170 00:11:10,440 --> 00:11:13,520 Speaker 1: federal funding, but only a tiny little bit. Most of 171 00:11:13,559 --> 00:11:19,520 Speaker 1: its funding does not come from federal sources, so and 172 00:11:19,559 --> 00:11:22,920 Speaker 1: there is no federal oversight or control of what goes 173 00:11:22,960 --> 00:11:27,000 Speaker 1: out over NPR. So this was a very misleading label 174 00:11:27,360 --> 00:11:30,880 Speaker 1: that Musk applied to NPR. Following that NPR chose to 175 00:11:31,040 --> 00:11:36,079 Speaker 1: leave X. So, you know, Musk has also over the 176 00:11:36,160 --> 00:11:40,680 Speaker 1: last few years been promoting more right leaning ideologies and 177 00:11:40,720 --> 00:11:45,320 Speaker 1: personalities on X, so I think it would be very 178 00:11:45,360 --> 00:11:48,160 Speaker 1: easy to view this and see it as a purposeful 179 00:11:48,240 --> 00:11:53,440 Speaker 1: attempt to discourage X users from going to NPR to 180 00:11:53,480 --> 00:11:58,360 Speaker 1: read up about this incident that happened at Arlington National Cemetery. However, 181 00:11:59,200 --> 00:12:03,000 Speaker 1: X state that the labeling was actually a false positive, 182 00:12:03,320 --> 00:12:06,680 Speaker 1: that this was not intentional, it was an honest mistake. 183 00:12:07,360 --> 00:12:10,360 Speaker 1: Maybe that's true, Like, it's easy for me to believe 184 00:12:10,400 --> 00:12:13,800 Speaker 1: that it was an intentional move to try and dissuade 185 00:12:13,840 --> 00:12:17,719 Speaker 1: people from reading up about what happened at Arlington National Cemetery. 186 00:12:18,160 --> 00:12:21,160 Speaker 1: But it's also very much true that over the last 187 00:12:21,800 --> 00:12:27,839 Speaker 1: year X has has eliminated so many people from the 188 00:12:28,360 --> 00:12:32,559 Speaker 1: company payroll that mistakes like this could easily happen simply 189 00:12:32,559 --> 00:12:35,000 Speaker 1: because they don't have the people to make sure it 190 00:12:35,080 --> 00:12:38,960 Speaker 1: doesn't happen. So either version could be true. Okay, so 191 00:12:39,320 --> 00:12:43,960 Speaker 1: we've got stories about X and Starlink. What about Tesla, Well, 192 00:12:44,000 --> 00:12:47,520 Speaker 1: there's more bad news on that, So Tesla, of course 193 00:12:47,679 --> 00:12:53,280 Speaker 1: yet another elon Musk company, and Christian Agatti of autoevolution 194 00:12:53,480 --> 00:12:58,439 Speaker 1: dot Com has an article titled third documented Tesla cybertruck 195 00:12:58,480 --> 00:13:03,680 Speaker 1: fire in less than a month raises questions woof so 196 00:13:04,280 --> 00:13:07,400 Speaker 1: a gad points out that in the marketing push for 197 00:13:07,480 --> 00:13:11,920 Speaker 1: cyber truck, Tesla was really stressing how the cyber truck 198 00:13:11,960 --> 00:13:15,600 Speaker 1: is a resilient vehicle right now. Granted, in the midst 199 00:13:15,640 --> 00:13:19,679 Speaker 1: of trying to say the cyber truck could withstand tons 200 00:13:19,720 --> 00:13:23,080 Speaker 1: of abuse, they accidentally broke some of the cyber truck's 201 00:13:23,120 --> 00:13:25,520 Speaker 1: windows while trying to show how tough they are. That 202 00:13:25,600 --> 00:13:30,000 Speaker 1: was a whoopsie, but anyway, the most recent of these 203 00:13:30,120 --> 00:13:33,760 Speaker 1: fires happened after an accident in which a cyber truck 204 00:13:33,880 --> 00:13:38,480 Speaker 1: driver hit a fire hydrant. My guess is that then 205 00:13:38,679 --> 00:13:42,719 Speaker 1: caused the battery inside the cyber truck to experience a 206 00:13:42,760 --> 00:13:47,000 Speaker 1: short where there was damage to the battery, and that 207 00:13:47,520 --> 00:13:51,240 Speaker 1: that created a short circuit that led to overheating and 208 00:13:51,240 --> 00:13:54,679 Speaker 1: then fire. That's my guess. I don't know for sure 209 00:13:54,760 --> 00:13:57,600 Speaker 1: that that is what happened. There has yet to have 210 00:13:57,679 --> 00:14:00,559 Speaker 1: been an investigation, or at least results of an investigation 211 00:14:00,679 --> 00:14:05,320 Speaker 1: shared publicly, so maybe it turns out something else caused 212 00:14:05,360 --> 00:14:09,440 Speaker 1: the fire. This happened in Harlingen, Texas. Don't know if 213 00:14:09,440 --> 00:14:10,839 Speaker 1: that's how you say it. There are a lot of 214 00:14:10,880 --> 00:14:13,920 Speaker 1: places in Texas where I think it's pronounced one way. 215 00:14:14,120 --> 00:14:17,720 Speaker 1: I am totally wrong. Earlier in the month, however, news 216 00:14:17,760 --> 00:14:22,200 Speaker 1: broke about a different incident that happened in Bayton area, 217 00:14:22,320 --> 00:14:24,440 Speaker 1: which is also in Texas, and In that one, a 218 00:14:24,480 --> 00:14:29,880 Speaker 1: cyber truck ran into like a concrete ditch trench or 219 00:14:29,920 --> 00:14:34,600 Speaker 1: something and caught fire. Tragically, there was a fatality, although 220 00:14:34,880 --> 00:14:38,480 Speaker 1: last I saw, they had not yet determined what actually 221 00:14:38,560 --> 00:14:42,600 Speaker 1: caused the death, whether it was a medical emergency, the 222 00:14:42,680 --> 00:14:46,840 Speaker 1: accident itself, or the fire. The third fire incident that 223 00:14:47,040 --> 00:14:49,640 Speaker 1: was one where Agady reported that a colleague of his 224 00:14:49,960 --> 00:14:53,640 Speaker 1: had actually found a burnt cyber truck listed on an 225 00:14:53,680 --> 00:14:57,160 Speaker 1: online auction site, and the description indicated that the vehicle 226 00:14:57,200 --> 00:15:00,480 Speaker 1: had been in a wreck and in fact subsequently caught fire, 227 00:15:00,760 --> 00:15:05,000 Speaker 1: and that this happened in Houston, Texas. So three accidents 228 00:15:05,040 --> 00:15:08,600 Speaker 1: resulting in fires, all three happening in Texas in the 229 00:15:08,640 --> 00:15:12,280 Speaker 1: span of a month. Now, I think it's too early 230 00:15:12,320 --> 00:15:15,200 Speaker 1: to draw any firm conclusions as to whether this means 231 00:15:15,200 --> 00:15:19,320 Speaker 1: the cyber truck actually is a flawed vehicle in that regard, 232 00:15:19,480 --> 00:15:22,440 Speaker 1: you know, like if the panels protecting the electric battery 233 00:15:22,480 --> 00:15:25,120 Speaker 1: aren't sufficient or whatever. I just don't know that that's 234 00:15:25,160 --> 00:15:28,040 Speaker 1: the case. It could be, but I think we need 235 00:15:28,080 --> 00:15:32,480 Speaker 1: to have an actual investigation to determine that. So I 236 00:15:32,480 --> 00:15:34,640 Speaker 1: think that's probably going to happen. I mean, with three 237 00:15:34,680 --> 00:15:37,240 Speaker 1: fires in a month, it seems to me like it's 238 00:15:37,280 --> 00:15:39,640 Speaker 1: at least warranted to take a look and see if 239 00:15:39,680 --> 00:15:43,720 Speaker 1: there are any common factors here at play. Maybe there aren't. 240 00:15:44,000 --> 00:15:48,080 Speaker 1: Maybe this is just coincidence and it all happened around 241 00:15:48,200 --> 00:15:52,920 Speaker 1: the same state and within the same month. That's possible, 242 00:15:53,240 --> 00:15:56,160 Speaker 1: so we need to investigate to find out. Okay, we 243 00:15:56,240 --> 00:15:58,280 Speaker 1: got lots more news to get through. Let's take a 244 00:15:58,360 --> 00:16:11,000 Speaker 1: quick break to thank our sponsors. We're back, and now 245 00:16:11,720 --> 00:16:16,960 Speaker 1: we're not done with Elon Musk news items just yet. 246 00:16:18,080 --> 00:16:23,960 Speaker 1: So over at SpaceX, there was a different kind of setback. Now, 247 00:16:24,000 --> 00:16:27,920 Speaker 1: while I'm talking about space and SpaceX, I should also 248 00:16:28,040 --> 00:16:32,080 Speaker 1: give a quick update and mention that we have this 249 00:16:32,240 --> 00:16:36,080 Speaker 1: ongoing issue of the two astronauts who went up on 250 00:16:36,200 --> 00:16:39,320 Speaker 1: the Boeing star Liner that then docked with the International 251 00:16:39,320 --> 00:16:43,240 Speaker 1: Space Station for a couple of months. Now. NASA was 252 00:16:43,320 --> 00:16:46,280 Speaker 1: hoping to find a way where they could return the 253 00:16:46,360 --> 00:16:50,840 Speaker 1: astronauts to Earth aboard the star Liner spacecraft. That was 254 00:16:50,880 --> 00:16:55,360 Speaker 1: something that Boeing was saying would be within acceptable risk parameters, 255 00:16:55,640 --> 00:16:59,560 Speaker 1: but NASA engineers ultimately disagreed with that. So the official 256 00:16:59,560 --> 00:17:02,360 Speaker 1: decision is that the Starliner is going to return to 257 00:17:02,440 --> 00:17:06,280 Speaker 1: Earth empty and the two astronauts will return home early 258 00:17:06,400 --> 00:17:11,520 Speaker 1: next year aboard a SpaceX Dragon capsule. Now, the SpaceX 259 00:17:11,560 --> 00:17:14,000 Speaker 1: story I wanted to touch on for this week is 260 00:17:14,080 --> 00:17:17,760 Speaker 1: that on Wednesday of this week, a Falcon nine first 261 00:17:17,800 --> 00:17:20,840 Speaker 1: stage booster had a big ol' whoopsie when it returned 262 00:17:21,160 --> 00:17:24,320 Speaker 1: to land on an ocean platform. Now, as I'm sure 263 00:17:24,320 --> 00:17:28,119 Speaker 1: you're all aware, one of the big draws for SpaceX's 264 00:17:28,200 --> 00:17:33,119 Speaker 1: launch vehicles is that they are reusable. This cuts way 265 00:17:33,240 --> 00:17:35,760 Speaker 1: down on the cost of launch, which is a huge 266 00:17:35,840 --> 00:17:40,400 Speaker 1: limiting factor for space The first stage booster landed on 267 00:17:40,440 --> 00:17:44,080 Speaker 1: this ocean platform, but then shortly thereafter it fell over 268 00:17:44,160 --> 00:17:48,160 Speaker 1: and it burst into flames. Fortunately, there were no reports 269 00:17:48,240 --> 00:17:50,720 Speaker 1: of any injuries or anything like that. There were no 270 00:17:50,760 --> 00:17:55,640 Speaker 1: reports of any public damage from this particular incident. However, 271 00:17:55,760 --> 00:18:00,800 Speaker 1: the FAA has grounded the Falcon nine launch vehicles. SpaceX 272 00:18:00,840 --> 00:18:04,879 Speaker 1: can investigate the incident and then share its findings and 273 00:18:04,920 --> 00:18:07,600 Speaker 1: then after any corrective actions have been ordered as a 274 00:18:07,600 --> 00:18:12,560 Speaker 1: result of that investigation. That means no SpaceX launches until 275 00:18:12,600 --> 00:18:16,920 Speaker 1: the FAA lifts that order. And that also means there 276 00:18:17,080 --> 00:18:19,760 Speaker 1: was supposed to be a launch I think today actually 277 00:18:20,320 --> 00:18:23,800 Speaker 1: that was going to deliver more Starlink satellites into orbit, 278 00:18:24,000 --> 00:18:26,760 Speaker 1: and that has since been delayed. Actually, the booster that 279 00:18:26,960 --> 00:18:29,680 Speaker 1: burst into flames, that was part of a mission of 280 00:18:29,920 --> 00:18:32,760 Speaker 1: sending more Starlink satellites into orbit as well. But the 281 00:18:32,840 --> 00:18:35,400 Speaker 1: second one that was supposed to happen now has been 282 00:18:35,480 --> 00:18:40,600 Speaker 1: postponed indefinitely until the ban has been lifted once they 283 00:18:40,880 --> 00:18:45,119 Speaker 1: figure out exactly what happened with this accident. No telling 284 00:18:45,200 --> 00:18:48,360 Speaker 1: yet if this is going to impact other upcoming launches. 285 00:18:48,400 --> 00:18:52,040 Speaker 1: There are a couple that are coming up before too long, 286 00:18:52,119 --> 00:18:54,120 Speaker 1: But it may be that this whole thing is resolved 287 00:18:54,280 --> 00:18:56,680 Speaker 1: relatively quickly. We'll just have to keep an eye out. 288 00:18:57,240 --> 00:19:00,600 Speaker 1: The hits keep on coming though. From us. In Memphis, Tennessee, 289 00:19:00,760 --> 00:19:05,800 Speaker 1: the Southern Environmental Law Center alleges that Musk's AI company, 290 00:19:06,000 --> 00:19:11,919 Speaker 1: which of course is called Xai, is using natural gas 291 00:19:11,920 --> 00:19:16,560 Speaker 1: burning turbines to power the AI facilities. We all know 292 00:19:17,240 --> 00:19:21,400 Speaker 1: that these AI data centers require a huge amount of 293 00:19:21,560 --> 00:19:25,760 Speaker 1: electricity in order to work. So one of the things 294 00:19:25,800 --> 00:19:29,080 Speaker 1: that companies that are using these kinds of power sources 295 00:19:29,080 --> 00:19:32,400 Speaker 1: that like natural gas burning turbines, one of the things 296 00:19:32,440 --> 00:19:35,760 Speaker 1: they're supposed to do is file a whole bunch of 297 00:19:35,800 --> 00:19:39,640 Speaker 1: paperwork to get the right permits to actually operate that 298 00:19:39,760 --> 00:19:44,480 Speaker 1: kind of machinery, and according to the Southern Environmental Law Center, 299 00:19:44,880 --> 00:19:49,600 Speaker 1: they say that there's no record that Xai actually followed 300 00:19:49,640 --> 00:19:53,520 Speaker 1: that process in Tennessee. So in an open letter, the 301 00:19:53,640 --> 00:19:58,280 Speaker 1: organization claims that Xai has twenty gas turbines operating without 302 00:19:58,320 --> 00:20:01,480 Speaker 1: first applying for those permits and has called upon the 303 00:20:01,520 --> 00:20:05,840 Speaker 1: local health department to investigate Xai to determine if, in fact, 304 00:20:06,000 --> 00:20:08,520 Speaker 1: that is what is going on now. I can't say 305 00:20:08,560 --> 00:20:11,399 Speaker 1: I would be surprised to hear that a Musk backed 306 00:20:11,440 --> 00:20:15,679 Speaker 1: company jumped into a situation like that without proper paperwork, 307 00:20:15,840 --> 00:20:18,840 Speaker 1: but I have to be fair. That is my bias talking, 308 00:20:19,160 --> 00:20:22,640 Speaker 1: Like just because Musk has proven that, you know, he's 309 00:20:22,960 --> 00:20:24,959 Speaker 1: done that kind of thing before, it doesn't mean that 310 00:20:24,960 --> 00:20:28,240 Speaker 1: that's what's happened this time. It could all be totally 311 00:20:29,240 --> 00:20:32,240 Speaker 1: a misunderstanding, like maybe the paperwork has been filed and 312 00:20:32,280 --> 00:20:34,160 Speaker 1: they just didn't find record of it. But they are 313 00:20:34,160 --> 00:20:37,080 Speaker 1: calling for an investigation to find out if the company 314 00:20:37,119 --> 00:20:39,480 Speaker 1: in fact followed the right process in order to operate 315 00:20:39,480 --> 00:20:42,280 Speaker 1: this way, because the concern here is that the operation 316 00:20:42,440 --> 00:20:46,919 Speaker 1: of these twenty gas turbines could contribute to pollution in 317 00:20:46,960 --> 00:20:51,800 Speaker 1: the Memphis area. Meanwhile, the Center for Countering Digital Hate 318 00:20:51,960 --> 00:20:54,959 Speaker 1: released the results of a study focusing on the GROCK 319 00:20:55,280 --> 00:21:00,800 Speaker 1: AI assistant that's the AI assistant connected to YEP, formerly 320 00:21:00,840 --> 00:21:04,360 Speaker 1: known as Twitter. YadA YadA, YadA so. This study concluded 321 00:21:04,400 --> 00:21:08,280 Speaker 1: that GROC lacks sufficient guardrails to prevent people from using 322 00:21:08,320 --> 00:21:14,240 Speaker 1: it to generate misleading images of real public personas, including politicians. 323 00:21:14,880 --> 00:21:17,040 Speaker 1: The study said that the tool was able to create 324 00:21:17,080 --> 00:21:20,199 Speaker 1: a convincing fake image of Donald Trump appearing to be 325 00:21:20,480 --> 00:21:23,960 Speaker 1: very sick in a hospital bed, and another of Kamala 326 00:21:24,040 --> 00:21:28,160 Speaker 1: Harris appearing to do drugs. The researcher said they tried 327 00:21:28,359 --> 00:21:31,800 Speaker 1: various methods to generate these images that range from just 328 00:21:31,880 --> 00:21:35,159 Speaker 1: blatantly giving a text prompt asking for what they wanted 329 00:21:35,200 --> 00:21:39,520 Speaker 1: to see, to taking a more circumspect route where they 330 00:21:39,640 --> 00:21:43,520 Speaker 1: used descriptive language to get the same effect, to get 331 00:21:43,520 --> 00:21:47,080 Speaker 1: the same results they wanted without actually triggering any preventative 332 00:21:47,480 --> 00:21:51,400 Speaker 1: safety features that otherwise would stop that kind of request 333 00:21:51,440 --> 00:21:56,680 Speaker 1: from working. I find this particularly frustrating, not just because 334 00:21:57,080 --> 00:22:00,439 Speaker 1: of the disinformation aspect, which is clearly bad enough alone, 335 00:22:00,960 --> 00:22:05,159 Speaker 1: but also because Elon Musk like again, I don't like 336 00:22:05,240 --> 00:22:08,639 Speaker 1: the guy, but he has repeatedly sounded the alarm about 337 00:22:08,640 --> 00:22:12,000 Speaker 1: the dangers of AI, and I agree AI is potentially 338 00:22:12,119 --> 00:22:15,800 Speaker 1: very dangerous if it's implemented poorly. And he has argued 339 00:22:15,800 --> 00:22:18,879 Speaker 1: that AI needs to be developed and deployed responsibly. I 340 00:22:18,960 --> 00:22:21,439 Speaker 1: agree with that too. I think that AI does need 341 00:22:21,520 --> 00:22:24,480 Speaker 1: to be developed and deployed responsibly, and that there should 342 00:22:24,520 --> 00:22:28,040 Speaker 1: be plentiful safety measures in place to prevent AI from 343 00:22:28,080 --> 00:22:31,000 Speaker 1: causing harm. I agree with that. All of these things 344 00:22:31,040 --> 00:22:34,399 Speaker 1: I agree with, And yet here is an AI tool 345 00:22:34,560 --> 00:22:38,960 Speaker 1: on one of Elon Musk's own platforms that clearly fails 346 00:22:39,000 --> 00:22:42,560 Speaker 1: to follow any of those directives. But then you could 347 00:22:42,600 --> 00:22:45,800 Speaker 1: also make the same argument that the AI found in 348 00:22:45,880 --> 00:22:49,440 Speaker 1: Tesla vehicles has at least appeared to be less reliable 349 00:22:49,480 --> 00:22:53,199 Speaker 1: than the company tends to market to potential customers. So 350 00:22:54,040 --> 00:22:57,760 Speaker 1: there's that as well. There's also been a recent change 351 00:22:57,840 --> 00:23:01,680 Speaker 1: to Grock, the AI assistant on it, apparently in response 352 00:23:01,720 --> 00:23:04,800 Speaker 1: to a complaint letter sent to the company from the 353 00:23:04,880 --> 00:23:08,639 Speaker 1: offices of five different Secretaries of State, so those states 354 00:23:08,680 --> 00:23:14,240 Speaker 1: would be Minnesota, New Mexico, Washington, Pennsylvania, and Michigan. The 355 00:23:14,320 --> 00:23:17,919 Speaker 1: offices were complaining that Groc was giving incorrect information in 356 00:23:17,960 --> 00:23:21,960 Speaker 1: response to prompts asking about ballot deadlines in those states. 357 00:23:22,240 --> 00:23:26,560 Speaker 1: So essentially this is related to election information, and GROC 358 00:23:26,600 --> 00:23:31,280 Speaker 1: apparently was just giving incorrect responses when people were asking 359 00:23:31,600 --> 00:23:37,159 Speaker 1: these basic questions about ballots. So now rather than just 360 00:23:37,280 --> 00:23:40,440 Speaker 1: giving an incorrect answer, GROC will respond to those kinds 361 00:23:40,440 --> 00:23:44,159 Speaker 1: of requests by urging the visitor to go to vote 362 00:23:44,240 --> 00:23:49,520 Speaker 1: dot gov for the actual answer, So that I think 363 00:23:49,680 --> 00:23:54,800 Speaker 1: is a market improvement. Tom David S. Pumpkins Hanks has 364 00:23:54,920 --> 00:23:57,879 Speaker 1: a message for all of y'all out there, and that 365 00:23:57,920 --> 00:24:01,919 Speaker 1: message is to not trust drug advertisements that seem to 366 00:24:01,960 --> 00:24:06,920 Speaker 1: have Tom Hanks voicing the ad copy. So specifically, on Instagram, 367 00:24:07,000 --> 00:24:11,280 Speaker 1: Hanks posted quote, there are multiple ads over the internet 368 00:24:11,440 --> 00:24:16,240 Speaker 1: falsely using my name, likeness, and voice promoting miracle cures 369 00:24:16,320 --> 00:24:20,520 Speaker 1: and wonder drugs. These ads have been created without my consent, 370 00:24:21,040 --> 00:24:25,359 Speaker 1: fraudulently and through AI. I have nothing to do with 371 00:24:25,440 --> 00:24:29,760 Speaker 1: these posts, or the productions and treatments, or the spokespeople 372 00:24:29,880 --> 00:24:33,879 Speaker 1: touting these cures. I have Type two diabetes and I 373 00:24:33,920 --> 00:24:37,560 Speaker 1: only work with my board certified doctor regarding my treatment. 374 00:24:38,240 --> 00:24:42,560 Speaker 1: Do not be fooled, Do not be swindled, Do not 375 00:24:42,840 --> 00:24:46,920 Speaker 1: lose your hard earned money. End quote. Now, if all 376 00:24:46,960 --> 00:24:49,600 Speaker 1: this sounds a little familiar, that might be because of 377 00:24:49,600 --> 00:24:53,560 Speaker 1: something that happened around the same time last year, where 378 00:24:53,600 --> 00:24:57,240 Speaker 1: there was this ad video going around with an AI 379 00:24:57,440 --> 00:25:00,399 Speaker 1: generated deep fake version of Tom Hanks prom voting a 380 00:25:00,520 --> 00:25:06,359 Speaker 1: dental plan Lisa needs braces dental plan. Sorry, sorry, sorry. 381 00:25:06,400 --> 00:25:09,160 Speaker 1: Some episodes of The Simpsons are kind of hardwired into 382 00:25:09,160 --> 00:25:11,720 Speaker 1: my brain and I just go into like a feedback loop. 383 00:25:12,080 --> 00:25:14,840 Speaker 1: I have to admit that when I was thinking about 384 00:25:14,880 --> 00:25:18,200 Speaker 1: how deep fakes were going to spread beyond the creation 385 00:25:18,359 --> 00:25:21,800 Speaker 1: of pornographic images and video, which is its own thing 386 00:25:21,960 --> 00:25:25,240 Speaker 1: and it's horrifying and terrible, when I was thinking about 387 00:25:25,280 --> 00:25:27,119 Speaker 1: how it was going to branch out beyond that, I 388 00:25:27,280 --> 00:25:29,639 Speaker 1: had not clocked Tom Hanks as being one of the 389 00:25:29,680 --> 00:25:33,920 Speaker 1: first high profile victims. But here we are. Bloomberg reported 390 00:25:34,200 --> 00:25:37,960 Speaker 1: that Apple is cutting one hundred positions in its digital 391 00:25:38,080 --> 00:25:41,600 Speaker 1: services department, and that the affected employees will have two 392 00:25:41,680 --> 00:25:44,960 Speaker 1: months to find another position within the company or else 393 00:25:45,000 --> 00:25:48,960 Speaker 1: be struck from the roster entirely. So apparently the main 394 00:25:49,000 --> 00:25:54,840 Speaker 1: group affected is the books team, which, as Samuel Aksin 395 00:25:54,920 --> 00:25:58,680 Speaker 1: of Ours Technica has pointed out, has no subscription service 396 00:25:58,960 --> 00:26:03,600 Speaker 1: attached to that particular product. So it sounds like Apple 397 00:26:03,680 --> 00:26:07,160 Speaker 1: really wants to redirect energy towards services that more directly 398 00:26:07,200 --> 00:26:10,920 Speaker 1: impact revenue. Which I mean, you can understand that from 399 00:26:10,960 --> 00:26:14,000 Speaker 1: a business perspective, right, Like, why would you focus on 400 00:26:14,119 --> 00:26:21,040 Speaker 1: things that don't impact revenue? Maybe they impact the value 401 00:26:21,200 --> 00:26:23,480 Speaker 1: or the perception of value, which you could argue is 402 00:26:23,960 --> 00:26:29,000 Speaker 1: a reasonable reason to keep it going. But yeah, most 403 00:26:29,000 --> 00:26:31,600 Speaker 1: companies are going to say revenue is way more important. 404 00:26:32,080 --> 00:26:35,239 Speaker 1: So it appears that Apple is one of those. I 405 00:26:35,280 --> 00:26:38,480 Speaker 1: hope anyone who has been affected by this will find 406 00:26:38,560 --> 00:26:41,960 Speaker 1: a new position with a great team as soon as 407 00:26:42,119 --> 00:26:45,920 Speaker 1: is possible. It's been a pretty long time since I've 408 00:26:45,920 --> 00:26:49,280 Speaker 1: talked about Uber getting hit with fines, but this next 409 00:26:49,320 --> 00:26:52,520 Speaker 1: story is quite a doozy. In fact, according to ngadget's 410 00:26:52,640 --> 00:26:56,360 Speaker 1: Sarah Fielding, it would be the largest fine Uber has 411 00:26:56,400 --> 00:27:01,280 Speaker 1: ever faced, a whopping two hundred and ninety million Euro penalty. 412 00:27:01,520 --> 00:27:04,240 Speaker 1: That's the equivalent of around three hundred and twenty four 413 00:27:04,359 --> 00:27:09,080 Speaker 1: million dollars. So what the heck happened? Well, this has 414 00:27:09,119 --> 00:27:13,760 Speaker 1: to do with the EU and GDPR. GDPR that's the 415 00:27:13,760 --> 00:27:16,480 Speaker 1: set of rules that are meant to protect EU citizens' 416 00:27:16,520 --> 00:27:20,200 Speaker 1: personal data. So one thing that companies are not supposed 417 00:27:20,240 --> 00:27:24,360 Speaker 1: to do under these rules is to send the personal 418 00:27:24,359 --> 00:27:29,960 Speaker 1: information belonging to EU citizens outside the EU itself unless 419 00:27:30,000 --> 00:27:34,000 Speaker 1: you're using appropriate measures to make sure you're protecting their information. 420 00:27:34,520 --> 00:27:36,679 Speaker 1: This is a thing that a lot of platforms have 421 00:27:36,760 --> 00:27:41,080 Speaker 1: run into where they were found to be transmitting information 422 00:27:41,359 --> 00:27:44,760 Speaker 1: to servers in the United States, but the information belonged 423 00:27:44,760 --> 00:27:48,640 Speaker 1: to EU citizens, and without those protections in place, these 424 00:27:48,640 --> 00:27:52,800 Speaker 1: companies can't guarantee the safety of that information. Because GDPR 425 00:27:52,920 --> 00:27:57,160 Speaker 1: is so focused on the safety of personal information, that's 426 00:27:57,200 --> 00:28:01,399 Speaker 1: a problem. So the Dutch Data Protection Authority or Dutch 427 00:28:01,600 --> 00:28:07,560 Speaker 1: DPA says that Uber really failed to protect information for 428 00:28:07,760 --> 00:28:11,920 Speaker 1: Uber drivers and that included stuff like their taxi licenses, 429 00:28:12,400 --> 00:28:16,680 Speaker 1: their identity documents and lots more other information. That Uber 430 00:28:16,840 --> 00:28:20,800 Speaker 1: transmitted this info overseas to Uber data servers in the 431 00:28:20,880 --> 00:28:25,040 Speaker 1: United States while not using any approved transferred tools that 432 00:28:25,080 --> 00:28:29,240 Speaker 1: are meant to ensure the safety of those data transfers. 433 00:28:29,560 --> 00:28:32,880 Speaker 1: The Dutch DPA said this failure to provide adequate protection 434 00:28:33,400 --> 00:28:36,800 Speaker 1: is a violation and that Uber subsequently has to pay up. 435 00:28:37,280 --> 00:28:39,840 Speaker 1: And it's notable here that as far as I can tell, 436 00:28:40,120 --> 00:28:43,600 Speaker 1: no unauthorized individuals ever got access to this information. This 437 00:28:43,680 --> 00:28:46,680 Speaker 1: isn't like a data breach or something, so it's not that, 438 00:28:47,040 --> 00:28:50,520 Speaker 1: you know, Uber failed to protect the info and someone 439 00:28:50,520 --> 00:28:53,200 Speaker 1: got hold of it. It's that Uber was not following 440 00:28:53,240 --> 00:28:57,200 Speaker 1: the approved process to make sure data was handled appropriately, 441 00:28:57,320 --> 00:29:01,440 Speaker 1: so arguably that personal information could have been intercepted or 442 00:29:01,480 --> 00:29:04,720 Speaker 1: exploited by other parties. And Uber reps have said that 443 00:29:04,800 --> 00:29:07,720 Speaker 1: the company will of course appeal the fine, so we'll 444 00:29:07,760 --> 00:29:10,880 Speaker 1: have to see where this develops from here. Okay, I've 445 00:29:10,880 --> 00:29:13,360 Speaker 1: got some more news stories to talk about. Before we 446 00:29:13,400 --> 00:29:25,160 Speaker 1: get to those, let's take another quick break. Okay, let's 447 00:29:25,200 --> 00:29:28,880 Speaker 1: wrap up some of our tech news this week over 448 00:29:28,960 --> 00:29:31,640 Speaker 1: on blue Sky, which, in case you're not familiar with 449 00:29:31,680 --> 00:29:36,479 Speaker 1: blue Sky, it's an alternative to Twitter, slash x, along 450 00:29:36,520 --> 00:29:41,440 Speaker 1: with other similar tools like Mastodon or threads. So blue 451 00:29:41,480 --> 00:29:45,080 Speaker 1: Sky has added some new anti toxicity features and I 452 00:29:45,120 --> 00:29:48,960 Speaker 1: think the features are interesting. I'm not sure that it's 453 00:29:49,000 --> 00:29:52,400 Speaker 1: the best approach, but they are interesting. It's hard to 454 00:29:52,480 --> 00:29:57,080 Speaker 1: determine how to best implement anti toxicity measures on a 455 00:29:57,120 --> 00:29:59,880 Speaker 1: platform that allows people to just join up. I mean, 456 00:30:00,440 --> 00:30:03,720 Speaker 1: as platforms get larger, they become more difficult to moderate, 457 00:30:04,000 --> 00:30:07,440 Speaker 1: assuming that you have a platform that's interested in moderation 458 00:30:07,520 --> 00:30:10,560 Speaker 1: in the first place. So yeah, I see also Telegram. 459 00:30:11,200 --> 00:30:13,760 Speaker 1: But the big one that I wanted to talk about 460 00:30:14,120 --> 00:30:18,440 Speaker 1: was that users are able now to remove their original 461 00:30:18,480 --> 00:30:22,120 Speaker 1: post if someone else quotes that post. So in other words, 462 00:30:22,160 --> 00:30:26,400 Speaker 1: let's say, let's say that you post something that says like, 463 00:30:27,240 --> 00:30:31,480 Speaker 1: I really enjoyed the Barbie movie, which is awesome. Honestly, 464 00:30:31,640 --> 00:30:34,080 Speaker 1: I enjoyed the Barbie movie. But let's say that I'm 465 00:30:34,120 --> 00:30:38,400 Speaker 1: not me. Let's say that I am the Evil Mirror 466 00:30:38,520 --> 00:30:42,560 Speaker 1: Universe version of me, and I've decided, because you have 467 00:30:42,640 --> 00:30:46,760 Speaker 1: claimed that you enjoyed the Barbie movie, you are deserving 468 00:30:47,120 --> 00:30:50,560 Speaker 1: of criticism and trolling and all that kind of stuff. 469 00:30:50,760 --> 00:30:55,560 Speaker 1: So I then quote your post, and I then put 470 00:30:55,640 --> 00:30:58,920 Speaker 1: some really nasty commentary underneath about how I think you're 471 00:30:59,120 --> 00:31:02,520 Speaker 1: a dumb dumb for liking a perfectly good movie. And 472 00:31:03,120 --> 00:31:08,959 Speaker 1: now you can actually take action on this, so before 473 00:31:09,240 --> 00:31:12,400 Speaker 1: you might just end up being flooded with like toxic notifications, 474 00:31:12,480 --> 00:31:15,840 Speaker 1: let's say that Evil Mirror Universe me has a lot 475 00:31:15,880 --> 00:31:18,840 Speaker 1: more notoriety and a lot more followers on Blue Sky. 476 00:31:19,200 --> 00:31:24,040 Speaker 1: So I post this negative takedown of your post and 477 00:31:24,840 --> 00:31:28,560 Speaker 1: everyone dogpiles on top of you. Now on Blue Sky, 478 00:31:28,720 --> 00:31:34,000 Speaker 1: you could go in and remove the quoted tweet from 479 00:31:34,040 --> 00:31:37,480 Speaker 1: my post. So you know, if my post is centered 480 00:31:37,560 --> 00:31:42,080 Speaker 1: around your earlier post, and you remove your earlier post 481 00:31:42,160 --> 00:31:45,680 Speaker 1: from mine, then all it's left is the commentary. If 482 00:31:45,720 --> 00:31:48,280 Speaker 1: that commentary is not specific, people don't even know who 483 00:31:48,360 --> 00:31:51,920 Speaker 1: I'm referring to as I rant about someone daring to 484 00:31:52,120 --> 00:31:56,400 Speaker 1: like the Barbie movie. So that is effective now, granted, 485 00:31:56,520 --> 00:32:00,800 Speaker 1: if in my narrative, if in my common Harry I 486 00:32:00,840 --> 00:32:06,080 Speaker 1: have also identified you, then removing your post from the 487 00:32:06,160 --> 00:32:10,480 Speaker 1: quotation doesn't really help that much because people can still 488 00:32:10,520 --> 00:32:13,080 Speaker 1: see who I'm talking about. Maybe they don't get a 489 00:32:13,200 --> 00:32:17,560 Speaker 1: link to your profile or whatever, but there's limited utility here. 490 00:32:17,960 --> 00:32:21,479 Speaker 1: But yeah, I think that that's generally a positive step. 491 00:32:21,960 --> 00:32:24,880 Speaker 1: I'm not sure that's the most effective one, but it 492 00:32:24,920 --> 00:32:27,560 Speaker 1: is meant to prevent instances of dog piling. So that 493 00:32:27,760 --> 00:32:31,800 Speaker 1: if someone takes your post and then, out of context, 494 00:32:31,840 --> 00:32:34,960 Speaker 1: tries to argue that you're a terrible person or whatever, 495 00:32:35,040 --> 00:32:39,200 Speaker 1: you can just remove the quotation part out of that post. 496 00:32:39,400 --> 00:32:42,600 Speaker 1: Now you can't touch anything else that's in that post, right, Like, 497 00:32:43,080 --> 00:32:47,480 Speaker 1: if in my description, I really drag you. You can't 498 00:32:47,480 --> 00:32:50,760 Speaker 1: go in and change my description, like you can't change 499 00:32:50,800 --> 00:32:54,520 Speaker 1: the commentary I have added. You can just remove the 500 00:32:54,640 --> 00:32:58,680 Speaker 1: quoted part, which I think makes sense, Like you shouldn't 501 00:32:58,760 --> 00:33:01,800 Speaker 1: have the ability to be able to change what someone's 502 00:33:01,840 --> 00:33:05,000 Speaker 1: post reads, because then it's just chaos. But I think 503 00:33:05,000 --> 00:33:08,080 Speaker 1: it is a good step. I just think it's tough, 504 00:33:08,160 --> 00:33:11,440 Speaker 1: like this is a hard problem to fix. Another similar 505 00:33:11,440 --> 00:33:14,240 Speaker 1: feature on blue Sky is that you can actually hide 506 00:33:14,320 --> 00:33:16,840 Speaker 1: replies to your posts. So let's say you post something 507 00:33:16,840 --> 00:33:18,920 Speaker 1: and no one's quoting you, but they are replying to you, 508 00:33:18,960 --> 00:33:21,280 Speaker 1: and some of them are being real nasty. You can 509 00:33:21,320 --> 00:33:25,240 Speaker 1: actually hide those replies, and you can choose to hide 510 00:33:25,240 --> 00:33:28,280 Speaker 1: it just from yourself, which is like blocking or muting someone, 511 00:33:28,840 --> 00:33:32,400 Speaker 1: or you can choose to hide that reply from everybody 512 00:33:32,880 --> 00:33:35,440 Speaker 1: so no one can see that this person is just 513 00:33:35,520 --> 00:33:39,680 Speaker 1: being nasty towards you. So when someone's being hateful, you 514 00:33:39,720 --> 00:33:42,280 Speaker 1: can hide so that no one sees it. Or maybe 515 00:33:42,360 --> 00:33:44,600 Speaker 1: you just shield yourself and you let it stand for 516 00:33:44,680 --> 00:33:48,120 Speaker 1: everybody else. Blue Sky says it will continue to introduce 517 00:33:48,160 --> 00:33:51,720 Speaker 1: features to make the platform a more safe and welcoming place. 518 00:33:52,480 --> 00:33:55,680 Speaker 1: This I think is in stark contrast to X like 519 00:33:55,880 --> 00:34:00,479 Speaker 1: over at X. You don't really see a Musk and 520 00:34:00,560 --> 00:34:04,840 Speaker 1: company putting in measures to make X a safer and 521 00:34:04,920 --> 00:34:08,680 Speaker 1: more welcoming place. You do occasionally see stories like the 522 00:34:08,680 --> 00:34:12,880 Speaker 1: one I mentioned about NPR, where it appears that whenever 523 00:34:12,920 --> 00:34:17,560 Speaker 1: they do enter into content moderation, it's to suppress any 524 00:34:17,800 --> 00:34:21,000 Speaker 1: any kind of viewpoint that doesn't go into alignment with 525 00:34:21,000 --> 00:34:24,760 Speaker 1: what Musk believes. That at least that's the appearance. Whether 526 00:34:24,800 --> 00:34:26,920 Speaker 1: that's what's really going on or not, I don't know. 527 00:34:27,480 --> 00:34:30,080 Speaker 1: Like I said, it could really be that there was 528 00:34:30,200 --> 00:34:33,479 Speaker 1: just an error in a false positive, But yeah, Blue 529 00:34:33,480 --> 00:34:36,560 Speaker 1: Sky strikes me as taking kind of like a maybe 530 00:34:36,560 --> 00:34:39,920 Speaker 1: not a total one to eighty approach from X, but 531 00:34:40,080 --> 00:34:45,520 Speaker 1: a substantial deviation from that approach. The Motion Picture Association 532 00:34:45,640 --> 00:34:48,920 Speaker 1: announced this week that through partnering with authorities in Vietnam, 533 00:34:49,280 --> 00:34:52,960 Speaker 1: they have shut down an online media piracy ring that 534 00:34:53,040 --> 00:34:57,800 Speaker 1: had accumulated billions of visits between them from January twenty 535 00:34:57,880 --> 00:35:01,560 Speaker 1: twenty three up to June twenty twenty four. So sort 536 00:35:01,600 --> 00:35:06,359 Speaker 1: of the hub of this, like the central crux was 537 00:35:06,840 --> 00:35:11,480 Speaker 1: F Movies, and under F Movies, there were several piracy 538 00:35:11,520 --> 00:35:15,760 Speaker 1: sites that were in operation. They included any Wave Flicks 539 00:35:15,880 --> 00:35:20,720 Speaker 1: Tours my Flixer and others like that. So the MPa 540 00:35:20,960 --> 00:35:25,480 Speaker 1: referred to f Movies as the mothership of piracy and 541 00:35:25,600 --> 00:35:29,800 Speaker 1: that the takedown had a cascading effect across these various 542 00:35:30,080 --> 00:35:34,760 Speaker 1: piracy sites which have been hosting media illegally for years 543 00:35:34,920 --> 00:35:39,320 Speaker 1: and distributing it to whomever goes there. Various media companies 544 00:35:39,360 --> 00:35:44,720 Speaker 1: and organizations that represent media companies have spent decades fighting 545 00:35:44,800 --> 00:35:50,400 Speaker 1: online piracy, often in ways that end up being outlandishly disproportionate. 546 00:35:51,000 --> 00:35:53,719 Speaker 1: Like you might remember, I mean I remember because I 547 00:35:53,719 --> 00:35:58,320 Speaker 1: remember the nineties when the RIAA really began to shake 548 00:35:58,480 --> 00:36:02,600 Speaker 1: down like service pro like Verizon to hand over the 549 00:36:02,680 --> 00:36:09,520 Speaker 1: identities of customers that the RIAA suspected were guilty of piracy. 550 00:36:10,520 --> 00:36:15,200 Speaker 1: There are people who were hit with truly ridiculous, astronomic 551 00:36:15,400 --> 00:36:20,920 Speaker 1: fines for piracy. And then there's the various issue of 552 00:36:21,280 --> 00:36:25,520 Speaker 1: media organizations arguing that piracy equates to loss of revenue, 553 00:36:26,040 --> 00:36:29,840 Speaker 1: like if you watch a movie illegally, if you download 554 00:36:29,840 --> 00:36:33,680 Speaker 1: a music track illegally, that means we lost revenue. A 555 00:36:33,760 --> 00:36:37,600 Speaker 1: lot of entities, including the United States Government Accountability Office, 556 00:36:37,719 --> 00:36:42,000 Speaker 1: say that argument doesn't hold water. At best, it is misleading. 557 00:36:42,040 --> 00:36:46,760 Speaker 1: At worst, it is wrong, and that's because it's impossible 558 00:36:47,200 --> 00:36:50,160 Speaker 1: to determine if someone who pirated a piece of media 559 00:36:50,680 --> 00:36:54,279 Speaker 1: otherwise would have purchased that piece of media legally. Let's 560 00:36:54,280 --> 00:36:57,840 Speaker 1: say that piracy was impossible somehow, Like we're in a 561 00:36:57,880 --> 00:37:01,279 Speaker 1: world where it's just impossible to pirate stuff. Someone who 562 00:37:01,320 --> 00:37:03,880 Speaker 1: would have pirated things, you can't say that they will, 563 00:37:04,080 --> 00:37:06,200 Speaker 1: though otherwise go out and buy it. Maybe they just 564 00:37:06,239 --> 00:37:10,279 Speaker 1: go without. You can't make the argument that a downloaded 565 00:37:10,680 --> 00:37:14,480 Speaker 1: piece of media equates to loss of revenue, So a 566 00:37:14,560 --> 00:37:19,160 Speaker 1: lost sale isn't the same thing as stolen money. Like 567 00:37:19,200 --> 00:37:21,799 Speaker 1: if I walk up to a movie theater and I 568 00:37:21,880 --> 00:37:24,960 Speaker 1: look at the list of films that are available, and 569 00:37:25,000 --> 00:37:27,600 Speaker 1: I ultimately decide, eh, I don't feel like watching any 570 00:37:27,680 --> 00:37:30,719 Speaker 1: of these, and I walk off. I didn't steal from 571 00:37:30,760 --> 00:37:35,000 Speaker 1: any of the movie companies. So yeah, I think piracy 572 00:37:35,120 --> 00:37:37,560 Speaker 1: is bad. Just to be clear, I do think piracy 573 00:37:37,600 --> 00:37:39,359 Speaker 1: is bad. I do not think you should do it. 574 00:37:39,800 --> 00:37:44,239 Speaker 1: Don't be a pirate. However, I think media companies that 575 00:37:44,320 --> 00:37:49,480 Speaker 1: take the nuclear option based on unsupportable arguments are bad too. 576 00:37:50,560 --> 00:37:53,640 Speaker 1: No one's in the right in that particular situation. But 577 00:37:53,680 --> 00:37:56,600 Speaker 1: you can read more about this particular story about the 578 00:37:56,640 --> 00:38:01,160 Speaker 1: Motion Picture Association and f movies both On Technica and 579 00:38:01,200 --> 00:38:04,080 Speaker 1: The Verge. Both sites have some great articles about this 580 00:38:04,600 --> 00:38:07,960 Speaker 1: recent Hollywood war against online piracy. I recommend you go 581 00:38:08,040 --> 00:38:11,799 Speaker 1: check those out now. For other recommended reading this week, 582 00:38:11,840 --> 00:38:13,640 Speaker 1: I've got a couple of different pieces I want to 583 00:38:13,680 --> 00:38:16,600 Speaker 1: talk about. First up is a paper that was published 584 00:38:16,760 --> 00:38:20,680 Speaker 1: in Nature, the science journal Nature. This paper is by 585 00:38:20,920 --> 00:38:28,600 Speaker 1: Valentine Hoffmann, Pratyusha rha Kaluri, Dan Jorowski, and Sharise King. 586 00:38:28,719 --> 00:38:33,680 Speaker 1: It is titled AI generates covertly racist decisions about people 587 00:38:33,760 --> 00:38:37,440 Speaker 1: based on their dialect. So, as you might suspect, this 588 00:38:37,520 --> 00:38:41,600 Speaker 1: paper investigates the issue of bias found within AI models, 589 00:38:41,760 --> 00:38:44,959 Speaker 1: but this time with regard to dialect as opposed to say, 590 00:38:45,000 --> 00:38:48,520 Speaker 1: physical features. I think it's a really important piece, particularly 591 00:38:48,560 --> 00:38:51,080 Speaker 1: since we live in a world in which code switching 592 00:38:51,320 --> 00:38:54,720 Speaker 1: is a really important mechanism for navigating different cultural groups 593 00:38:54,760 --> 00:38:57,920 Speaker 1: for a lot of people, and if they are switched 594 00:38:57,920 --> 00:39:02,440 Speaker 1: into one particular culture, it's entirely possible that an AI 595 00:39:02,520 --> 00:39:07,880 Speaker 1: model is going to make some very racist conclusions based 596 00:39:07,920 --> 00:39:11,160 Speaker 1: on that anyway. Next up would be a piece by 597 00:39:11,200 --> 00:39:14,400 Speaker 1: Heather Knight and Kate Conger of The New York Times 598 00:39:14,440 --> 00:39:19,719 Speaker 1: titled Elon Musk's X is leaving San Francisco. City officials 599 00:39:19,880 --> 00:39:23,640 Speaker 1: say good riddance. So this story covers how X, which 600 00:39:23,640 --> 00:39:27,319 Speaker 1: has long had its HQ in San Francisco, California, is 601 00:39:27,400 --> 00:39:31,359 Speaker 1: now moving to other parts of California, like it's going 602 00:39:31,400 --> 00:39:34,800 Speaker 1: to rely on offices that are in other cities in California, 603 00:39:34,880 --> 00:39:37,919 Speaker 1: but the HQ itself is relocating to Texas, And how 604 00:39:38,000 --> 00:39:41,120 Speaker 1: some people who are in various positions in San Francisco 605 00:39:41,200 --> 00:39:45,960 Speaker 1: government aren't exactly wringing their hands at x's departure. Then finally, 606 00:39:46,000 --> 00:39:49,879 Speaker 1: there's a concerning article in The Texas Observer by Francesca 607 00:39:50,040 --> 00:39:54,960 Speaker 1: du Nunzio titled Texas State Police gear up for massive 608 00:39:55,040 --> 00:39:59,279 Speaker 1: expansion of surveillance tech. It serves as a reminder that 609 00:39:59,360 --> 00:40:03,080 Speaker 1: it's very important to hold law enforcement agencies accountable and 610 00:40:03,160 --> 00:40:07,320 Speaker 1: to investigate whether their reliance on certain technologies is merited, 611 00:40:07,600 --> 00:40:10,600 Speaker 1: particularly since some of those technologies have proven to have 612 00:40:10,680 --> 00:40:13,799 Speaker 1: flaws that can lead to disproportionate harm being done to 613 00:40:13,880 --> 00:40:17,880 Speaker 1: vulnerable populations. Specifically, I'm thinking about things like facial recognition 614 00:40:18,000 --> 00:40:23,200 Speaker 1: technologies and how that often can disproportionately affect innocent people 615 00:40:23,560 --> 00:40:28,160 Speaker 1: from the black community. We've seen that happen numerous times, 616 00:40:28,280 --> 00:40:32,160 Speaker 1: So any surveillance state stuff always makes me nervous. It's 617 00:40:32,200 --> 00:40:36,960 Speaker 1: also wild that Texas identity is so strange to me 618 00:40:37,600 --> 00:40:41,320 Speaker 1: because there's kind of ingrained in Texas is this idea 619 00:40:41,360 --> 00:40:44,600 Speaker 1: of independence and being able to stand on your own, 620 00:40:44,640 --> 00:40:47,560 Speaker 1: to hike yourself up by your bootstraps, and that you know, 621 00:40:47,800 --> 00:40:50,600 Speaker 1: like a lot of the narrative around Texas government is 622 00:40:50,640 --> 00:40:53,800 Speaker 1: about being self sufficient. I mean the state of Texas. 623 00:40:53,840 --> 00:40:58,319 Speaker 1: Their power grid is independent of the national power grid 624 00:40:58,320 --> 00:41:01,160 Speaker 1: in the United States, for example. So you've got this 625 00:41:01,360 --> 00:41:07,080 Speaker 1: idea of individualism and self sufficiency, and on the flip side, 626 00:41:07,120 --> 00:41:12,440 Speaker 1: you've got this growing surveillance state in law enforcement, and 627 00:41:12,480 --> 00:41:17,320 Speaker 1: the two don't really gel together to me, apart from 628 00:41:17,520 --> 00:41:21,719 Speaker 1: a slow moved more toward authoritarianism, which I think is 629 00:41:21,719 --> 00:41:26,120 Speaker 1: pretty concerning you. But the tech enabling that is really 630 00:41:26,440 --> 00:41:29,560 Speaker 1: the feature of that particular article, So check that out. 631 00:41:30,000 --> 00:41:32,759 Speaker 1: I hope all of you have a great weekend here 632 00:41:32,760 --> 00:41:35,440 Speaker 1: in the United States, the holiday weekend. I hope you 633 00:41:35,480 --> 00:41:37,600 Speaker 1: have a great holiday if you're here in the US. 634 00:41:38,040 --> 00:41:39,960 Speaker 1: If you're not in the US, I hope you just 635 00:41:39,960 --> 00:41:42,319 Speaker 1: have a great weekend period. And I'll talk to you 636 00:41:42,360 --> 00:41:53,040 Speaker 1: again really soon. Tech Stuff is an iHeartRadio production. For 637 00:41:53,160 --> 00:41:58,000 Speaker 1: more podcasts from iHeartRadio, visit the iHeartRadio app, Apple Podcasts, 638 00:41:58,120 --> 00:42:01,640 Speaker 1: or wherever you listen to your favorite show still