1 00:00:04,480 --> 00:00:12,720 Speaker 1: Welcome to Tech Stuff, a production from iHeartRadio. Hey thereon 2 00:00:12,880 --> 00:00:16,280 Speaker 1: Welcome to Tech Stuff. I'm your host, Jonathan Strickland. I'm 3 00:00:16,280 --> 00:00:19,759 Speaker 1: an executive producer with iHeart Podcast Send How the tech 4 00:00:19,840 --> 00:00:23,120 Speaker 1: are you? It is time for the tech News, ending 5 00:00:23,320 --> 00:00:27,040 Speaker 1: on Friday, June twenty eighth, twenty twenty four. It's going 6 00:00:27,120 --> 00:00:29,840 Speaker 1: to be a very short episode. There wasn't that much 7 00:00:29,880 --> 00:00:32,320 Speaker 1: tech news. Most of the news in the United States 8 00:00:32,360 --> 00:00:37,239 Speaker 1: has revolved around the election cycle, and thankfully I have 9 00:00:37,360 --> 00:00:41,120 Speaker 1: nothing to contribute to that. So let's talk about some 10 00:00:41,400 --> 00:00:44,600 Speaker 1: tech news. And first up in the haven't We been 11 00:00:44,640 --> 00:00:48,720 Speaker 1: here before? Category, we have a story about Meta potentially 12 00:00:48,720 --> 00:00:53,360 Speaker 1: blocking news content on Facebook in Australia. Now, if that 13 00:00:53,400 --> 00:00:56,360 Speaker 1: does sound familiar to you, it's because this actually stems 14 00:00:56,400 --> 00:01:00,000 Speaker 1: from a twenty twenty one law that would require company 15 00:01:00,360 --> 00:01:04,040 Speaker 1: like Meta and Google to negotiate with news media companies 16 00:01:04,200 --> 00:01:07,479 Speaker 1: in order to allow the inclusion of the news company's 17 00:01:07,600 --> 00:01:11,240 Speaker 1: content on their digital platforms. The purpose of this law 18 00:01:11,400 --> 00:01:14,919 Speaker 1: is to quote help support the sustainability of public interest 19 00:01:15,000 --> 00:01:18,480 Speaker 1: journalism in Australia end quote, and the justification for the 20 00:01:18,560 --> 00:01:21,720 Speaker 1: law appeared to be the assertion that platforms like Facebook 21 00:01:21,880 --> 00:01:27,120 Speaker 1: can at least partly thank news media for the platform's popularity. 22 00:01:27,560 --> 00:01:31,160 Speaker 1: That because people can find news on social media, they 23 00:01:31,200 --> 00:01:35,200 Speaker 1: spend more time on social media platforms, and so therefore 24 00:01:35,560 --> 00:01:39,160 Speaker 1: Meta owes some of its revenue that it generates from 25 00:01:39,360 --> 00:01:43,600 Speaker 1: user engagement to the companies that are providing this content 26 00:01:43,880 --> 00:01:47,240 Speaker 1: that's being posted to Meta, whether you know Meta's doing 27 00:01:47,240 --> 00:01:50,040 Speaker 1: it or a user's doing it. Further, there's an argument 28 00:01:50,280 --> 00:01:53,000 Speaker 1: to be made that if people are just you know, 29 00:01:54,320 --> 00:01:57,280 Speaker 1: scanning a headline and maybe a synopsis of an article, 30 00:01:57,480 --> 00:02:00,640 Speaker 1: they're not going to click through. They don't go to 31 00:02:00,680 --> 00:02:03,600 Speaker 1: the website to read the article itself, which means the 32 00:02:03,680 --> 00:02:07,440 Speaker 1: home website of that article doesn't receive a page impression 33 00:02:07,600 --> 00:02:10,480 Speaker 1: and though therefore it doesn't receive any ad revenue. So 34 00:02:10,800 --> 00:02:14,360 Speaker 1: the news media organizations are saying, you're benefiting from our 35 00:02:14,440 --> 00:02:18,320 Speaker 1: content and people aren't clicking through, so we're not seeing 36 00:02:18,400 --> 00:02:22,640 Speaker 1: any of that ad revenue, and that has been part 37 00:02:22,760 --> 00:02:27,360 Speaker 1: of this whole argument. Initially, Meta blocked news sites on 38 00:02:27,400 --> 00:02:31,040 Speaker 1: Facebook in Australia when this law was taking shape, but 39 00:02:31,639 --> 00:02:35,519 Speaker 1: eventually Meta backed off of that and negotiated with individual 40 00:02:35,600 --> 00:02:39,720 Speaker 1: Australian media sites, but those agreements expire this year and 41 00:02:39,760 --> 00:02:43,160 Speaker 1: Meta has already said it's not going to renew those agreements, 42 00:02:43,560 --> 00:02:46,320 Speaker 1: and in fact, it will take whatever steps are necessary 43 00:02:46,400 --> 00:02:50,160 Speaker 1: up to and including banning news on the platform in 44 00:02:50,200 --> 00:02:55,000 Speaker 1: Australia rather than continue to pay for that privilege. Meta 45 00:02:55,080 --> 00:02:58,640 Speaker 1: reps have argued that news is not a major driver 46 00:02:59,120 --> 00:03:03,200 Speaker 1: of user option or engagement, and that the absence of 47 00:03:03,280 --> 00:03:08,399 Speaker 1: news isn't going to have a negative impact on Facebook's numbers. Essentially, 48 00:03:08,840 --> 00:03:12,280 Speaker 1: and this Meta argues will contradict the point of view 49 00:03:12,280 --> 00:03:15,520 Speaker 1: that news has made a significant contribution to revenue generation 50 00:03:15,600 --> 00:03:19,200 Speaker 1: for Facebook. So if Facebook says now we didn't allow 51 00:03:19,320 --> 00:03:22,959 Speaker 1: news and we still did business like gangbusters in Australia, 52 00:03:23,320 --> 00:03:26,760 Speaker 1: you can't say that news is a driver for user 53 00:03:26,800 --> 00:03:30,000 Speaker 1: engagement if we're still doing just fine without you. That's 54 00:03:30,080 --> 00:03:33,120 Speaker 1: kind of Facebook's take on this. So the Australian government 55 00:03:33,160 --> 00:03:35,880 Speaker 1: has to decide whether or not to actually enforce this 56 00:03:36,040 --> 00:03:38,320 Speaker 1: twenty twenty one law, and there are a lot of 57 00:03:38,320 --> 00:03:41,440 Speaker 1: people wondering if that's going to happen. I don't know. 58 00:03:41,720 --> 00:03:45,520 Speaker 1: I have no insight into that, but it does sound 59 00:03:45,600 --> 00:03:48,880 Speaker 1: like unless the government steps in, Facebook's just going to 60 00:03:48,920 --> 00:03:52,480 Speaker 1: stop paying these negotiated fares that they have with all 61 00:03:52,480 --> 00:03:56,720 Speaker 1: these different media outlets. There's a lot more going on here. 62 00:03:56,880 --> 00:03:59,400 Speaker 1: There's a lot of conversation to be had about this 63 00:03:59,560 --> 00:04:02,440 Speaker 1: law in general. There are plenty of people who argue 64 00:04:02,600 --> 00:04:07,120 Speaker 1: that the law does little to help the smaller media outlets. 65 00:04:07,360 --> 00:04:11,920 Speaker 1: It actually gives much more advantage to really large media 66 00:04:11,960 --> 00:04:17,359 Speaker 1: outlets that are already like multi billion dollar conglomerates. But honestly, 67 00:04:17,480 --> 00:04:20,200 Speaker 1: I would have to do so much more reading to 68 00:04:20,279 --> 00:04:22,720 Speaker 1: really get into that and to be able to give 69 00:04:22,760 --> 00:04:25,400 Speaker 1: my perspective on it. But is an interesting thing to 70 00:04:25,440 --> 00:04:28,440 Speaker 1: read about, and it's not like Australia's the outlier. There 71 00:04:28,440 --> 00:04:32,960 Speaker 1: are other places, such as Canada that have explored similar policies. 72 00:04:33,440 --> 00:04:36,360 Speaker 1: Meta is rolling out a suite of AI tools called 73 00:04:36,400 --> 00:04:40,200 Speaker 1: the AI Studio to certain Instagram users, So it's kind 74 00:04:40,200 --> 00:04:42,480 Speaker 1: of like an early test market. I think, sort of 75 00:04:42,520 --> 00:04:46,919 Speaker 1: like a closed beta. So AI Studio lets creators do 76 00:04:47,040 --> 00:04:50,800 Speaker 1: lots of stuff, including they can make an AI chatbot 77 00:04:51,000 --> 00:04:56,040 Speaker 1: version of themselves. Meta CEO Mark Zuckerberg said quote, you 78 00:04:56,160 --> 00:05:00,479 Speaker 1: might start seeing ais from your favorite creators and interest 79 00:05:00,520 --> 00:05:04,440 Speaker 1: based ais in the coming weeks on Instagram. These will 80 00:05:04,480 --> 00:05:07,560 Speaker 1: primarily show up in messaging for now and will be 81 00:05:07,720 --> 00:05:12,520 Speaker 1: clearly labeled as AI end quote, so based on that, 82 00:05:12,560 --> 00:05:16,440 Speaker 1: from what I understand, this is a text based chat bot, 83 00:05:17,200 --> 00:05:22,120 Speaker 1: and essentially the chatbot is trying to impersonate an influencer, 84 00:05:22,480 --> 00:05:25,279 Speaker 1: And I guess I can see how influencers who don't 85 00:05:25,279 --> 00:05:28,320 Speaker 1: want to spend all day chatting with followers might want 86 00:05:28,360 --> 00:05:31,679 Speaker 1: to use this in order to drive further engagement without 87 00:05:31,720 --> 00:05:35,920 Speaker 1: actually having to do it themselves. But I honestly don't 88 00:05:35,960 --> 00:05:39,240 Speaker 1: know how I would feel about having a robo Jonathan 89 00:05:39,320 --> 00:05:42,520 Speaker 1: out there responding to people on my behalf. I'd be 90 00:05:42,640 --> 00:05:46,160 Speaker 1: really concerned that it could say something I would personally 91 00:05:46,360 --> 00:05:50,559 Speaker 1: object to, and that doesn't look good on me if 92 00:05:50,760 --> 00:05:53,200 Speaker 1: the chatbot's doing that, and I don't want it to 93 00:05:53,279 --> 00:05:56,000 Speaker 1: hurt anyone's feelings or to creep anyone out or anything 94 00:05:56,040 --> 00:05:59,440 Speaker 1: like that. Instagram warns that some messages may be quote 95 00:05:59,520 --> 00:06:04,040 Speaker 1: in acuate or inappropriate end quote, which does not raise 96 00:06:04,080 --> 00:06:07,080 Speaker 1: my confidence levels very much. Now, on the flip side, 97 00:06:07,320 --> 00:06:09,840 Speaker 1: I don't really see where the value proposition is for 98 00:06:10,040 --> 00:06:14,520 Speaker 1: fans right for the community. I mean, if I knew 99 00:06:14,560 --> 00:06:17,160 Speaker 1: that the entity I was chatting with was just an 100 00:06:17,200 --> 00:06:21,559 Speaker 1: AI copy of I don't know, insert influencer here, would 101 00:06:21,560 --> 00:06:24,400 Speaker 1: I even bother chatting with it. I mean, it's not 102 00:06:24,480 --> 00:06:27,800 Speaker 1: the person, it's just a chat pot. It's kind of 103 00:06:27,839 --> 00:06:30,360 Speaker 1: like finding out that a celebrity doesn't run their own 104 00:06:30,400 --> 00:06:33,400 Speaker 1: twitter feed or whatever. You know, if you know that 105 00:06:33,480 --> 00:06:37,400 Speaker 1: you're just interacting with a representative acting on behalf of 106 00:06:37,440 --> 00:06:40,640 Speaker 1: a celebrity, it just doesn't have the same pizazz. But 107 00:06:40,720 --> 00:06:42,800 Speaker 1: I don't know. Maybe some fans would just be thrilled 108 00:06:42,800 --> 00:06:46,120 Speaker 1: that an AI copy of the person they follow is 109 00:06:46,200 --> 00:06:50,400 Speaker 1: responding to them. I think that doesn't sound healthy to me, 110 00:06:50,480 --> 00:06:52,760 Speaker 1: but I'm not an expert. Maybe maybe there's nothing at 111 00:06:52,760 --> 00:06:55,160 Speaker 1: all wrong with that, but it just seems I don't know, icky, 112 00:06:55,520 --> 00:06:58,240 Speaker 1: But I can see this actually working better for businesses. 113 00:06:58,640 --> 00:07:01,159 Speaker 1: I can see that being much more effective. So let's 114 00:07:01,160 --> 00:07:04,360 Speaker 1: say that you run like a small business and you 115 00:07:04,440 --> 00:07:07,880 Speaker 1: have a strong Instagram presence, having a chatbot that's able 116 00:07:07,880 --> 00:07:10,720 Speaker 1: to answer questions and stuff on your behalf, I could 117 00:07:10,760 --> 00:07:15,320 Speaker 1: see that being really helpful. So that part, I totally 118 00:07:15,360 --> 00:07:19,000 Speaker 1: get the bit where there's a chatbot that is posing 119 00:07:19,360 --> 00:07:23,000 Speaker 1: as a person. That seems weird and creepy to me, 120 00:07:23,080 --> 00:07:26,440 Speaker 1: even if it's labeled as such. So I don't know, 121 00:07:26,600 --> 00:07:29,440 Speaker 1: maybe I'm just it's quite possible. I'm just too old. 122 00:07:30,080 --> 00:07:32,200 Speaker 1: I did have a birthday this week. That's also in 123 00:07:32,240 --> 00:07:35,000 Speaker 1: the Tech news. I had a birthday this week. It's 124 00:07:35,040 --> 00:07:37,320 Speaker 1: also why this news is going to be a little shorter, 125 00:07:37,440 --> 00:07:39,920 Speaker 1: because I got to get ready to head out of 126 00:07:39,960 --> 00:07:45,360 Speaker 1: town to celebrate a belated birthday gathering. But yeah, I 127 00:07:45,400 --> 00:07:49,960 Speaker 1: don't really grock with this. Hackers have taken aim at 128 00:07:50,000 --> 00:07:54,960 Speaker 1: the US auto industry by targeting software used by many 129 00:07:55,080 --> 00:07:58,720 Speaker 1: car dealerships. So the software in question comes from a 130 00:07:58,760 --> 00:08:03,040 Speaker 1: company called seed DK Global, and a lot of dealerships 131 00:08:03,040 --> 00:08:07,320 Speaker 1: here in the United States use CDK Globals software in 132 00:08:07,400 --> 00:08:13,640 Speaker 1: order to handle transactions, so it's a fundamental component of 133 00:08:13,760 --> 00:08:18,960 Speaker 1: their operations. And because this software has such wide distribution, 134 00:08:19,080 --> 00:08:22,000 Speaker 1: it was a beautiful target for hackers. It was a 135 00:08:22,040 --> 00:08:27,200 Speaker 1: way for them to infect many separate dealerships simultaneously, not 136 00:08:27,360 --> 00:08:31,360 Speaker 1: by attacking the individual dealership like you didn't have to 137 00:08:31,920 --> 00:08:35,600 Speaker 1: go one by one. Instead, you target software that a 138 00:08:35,640 --> 00:08:38,680 Speaker 1: lot of these dealerships use, and that becomes your delivery 139 00:08:38,720 --> 00:08:42,480 Speaker 1: system for your malware. You compromise the software and then 140 00:08:42,520 --> 00:08:46,040 Speaker 1: you use that to push out updates that are really malware. 141 00:08:46,120 --> 00:08:51,160 Speaker 1: They're not updates and boom, you got these compromised businesses, 142 00:08:51,200 --> 00:08:53,640 Speaker 1: potentially thousands of them, all of them tied to the 143 00:08:53,720 --> 00:08:58,880 Speaker 1: auto industry and automakers themselves. So this is not an 144 00:08:59,000 --> 00:09:02,240 Speaker 1: unusual thing. We've seen it happen before. A couple of 145 00:09:02,480 --> 00:09:06,439 Speaker 1: massive hacker attacks over the last half decade have used 146 00:09:06,480 --> 00:09:10,480 Speaker 1: a method like this where the hackers, instead of targeting 147 00:09:10,559 --> 00:09:15,920 Speaker 1: individual businesses, go after a vendor that makes a software 148 00:09:15,960 --> 00:09:19,320 Speaker 1: package that's used by lots and lots of businesses. They 149 00:09:19,480 --> 00:09:24,559 Speaker 1: secretly exploit, you know, they penetrate the vendors' systems, they 150 00:09:24,559 --> 00:09:29,200 Speaker 1: exploit their software, they push out updates that include malware. Boom, 151 00:09:29,200 --> 00:09:32,679 Speaker 1: They've got themselves a long list of exploited systems. It's 152 00:09:32,720 --> 00:09:36,439 Speaker 1: a pretty terrifying approach. The hacker group that did this 153 00:09:36,679 --> 00:09:40,839 Speaker 1: is called Black Suit, and according to cybersecurity researchers, it's 154 00:09:40,840 --> 00:09:44,080 Speaker 1: a relatively young group, like a year old, and it's 155 00:09:44,080 --> 00:09:47,440 Speaker 1: spun off a more established Russian linked hacker group called 156 00:09:47,640 --> 00:09:51,240 Speaker 1: Royal Locker. And like many hacker groups, it is a 157 00:09:51,360 --> 00:09:56,679 Speaker 1: ransomware operator. So they lock target data away, usually behind encryption. 158 00:09:57,120 --> 00:10:00,280 Speaker 1: Sometimes they'll lock down entire systems, not just the data 159 00:10:00,440 --> 00:10:02,800 Speaker 1: on those systems, and then they threaten to go nuclear 160 00:10:02,960 --> 00:10:07,120 Speaker 1: and delete everything, or make it impossible for the target 161 00:10:07,200 --> 00:10:11,560 Speaker 1: to access or possibly and or leak information on the 162 00:10:11,559 --> 00:10:14,920 Speaker 1: black market unless the target hands over some ransom money. 163 00:10:15,080 --> 00:10:18,320 Speaker 1: In this case, if in fact Black Suit is the 164 00:10:18,440 --> 00:10:21,680 Speaker 1: party responsible, it all comes down between them and CDK 165 00:10:21,840 --> 00:10:24,200 Speaker 1: at the moment. Dealerships in the meantime have had to 166 00:10:24,240 --> 00:10:27,520 Speaker 1: resort to desperate measures like using pen and paper for transactions, 167 00:10:27,720 --> 00:10:30,920 Speaker 1: though I understand CDK has started to restore functionality with 168 00:10:30,960 --> 00:10:34,360 Speaker 1: at least some dealerships. All right, we're gonna take a 169 00:10:34,400 --> 00:10:36,080 Speaker 1: quick break when we come back. I've got a few 170 00:10:36,080 --> 00:10:47,840 Speaker 1: more news items before we wrap this up. We're back. 171 00:10:48,240 --> 00:10:53,400 Speaker 1: So our next story is about Tim Griffin, Arkansas's Attorney General, 172 00:10:53,520 --> 00:10:55,880 Speaker 1: Arkansas's estate here in the United States for those of 173 00:10:55,880 --> 00:10:59,320 Speaker 1: you outside the US, and Tim Griffin has filed a 174 00:10:59,400 --> 00:11:04,199 Speaker 1: lawsuit against the Chinese shopping app Temu. I believe that 175 00:11:04,320 --> 00:11:07,920 Speaker 1: app is technically based in Ireland now, but all of 176 00:11:07,960 --> 00:11:11,680 Speaker 1: its major operations are still in China. Griffin alleges that 177 00:11:11,840 --> 00:11:16,240 Speaker 1: Timu is dangerous malware that's posing as a shopping app, 178 00:11:16,440 --> 00:11:21,400 Speaker 1: and that Timu is really designed to quote gain unrestricted 179 00:11:21,440 --> 00:11:25,040 Speaker 1: access to a user's phone operating system, including but not 180 00:11:25,160 --> 00:11:32,439 Speaker 1: limited to a user's camera, specific location, contacts, text messages, documents, 181 00:11:32,760 --> 00:11:37,800 Speaker 1: and other applications. End quote. Essentially that if you install 182 00:11:37,880 --> 00:11:42,080 Speaker 1: Timu on your phone, you are giving Timu access to 183 00:11:42,280 --> 00:11:46,760 Speaker 1: everything on your phone, ongoing access. So Griffin accuses Timu 184 00:11:46,880 --> 00:11:49,960 Speaker 1: of ignoring the privacy settings that a user has in place. 185 00:11:50,320 --> 00:11:54,120 Speaker 1: Like my phone, for example, I have it where if 186 00:11:54,160 --> 00:11:58,440 Speaker 1: I launch an app that requires access to certain things 187 00:11:58,480 --> 00:12:02,280 Speaker 1: on my phone, like my camera or my contacts, whatever, 188 00:12:02,679 --> 00:12:07,280 Speaker 1: I'm given a pop up where I can allow or 189 00:12:07,320 --> 00:12:11,440 Speaker 1: deny access to those things. Right, I can allow the 190 00:12:11,559 --> 00:12:14,040 Speaker 1: app to have access to my contacts, or I can 191 00:12:14,080 --> 00:12:17,240 Speaker 1: say no, don't bother my friends and family. I don't 192 00:12:17,280 --> 00:12:20,480 Speaker 1: want that to happen. So what Griffin is saying is 193 00:12:20,520 --> 00:12:23,439 Speaker 1: that Timu has designed their app in such a way 194 00:12:24,000 --> 00:12:27,440 Speaker 1: that it gets you install it on your phone, and 195 00:12:27,520 --> 00:12:31,840 Speaker 1: afterward it circumvents those permissions and you don't get a 196 00:12:31,880 --> 00:12:34,520 Speaker 1: pop up, you don't get the chance to allow or deny. 197 00:12:34,600 --> 00:12:39,360 Speaker 1: It just grabs hold of access to these things. And 198 00:12:39,880 --> 00:12:43,640 Speaker 1: that's a heck of an accusation, and it's a really 199 00:12:43,800 --> 00:12:47,400 Speaker 1: big claim to make. Griffin is relying heavily upon a 200 00:12:47,440 --> 00:12:50,800 Speaker 1: report that was created by an organization called Grizzly Research. 201 00:12:51,240 --> 00:12:54,840 Speaker 1: I am unfamiliar with that group. TIMU reps are saying 202 00:12:54,880 --> 00:12:58,880 Speaker 1: that this report from Grizzly Research is all just misinformation 203 00:12:59,120 --> 00:13:02,960 Speaker 1: and the accusation are unfounded. They accuse Grizzly Research of 204 00:13:03,000 --> 00:13:06,840 Speaker 1: trying to essentially short sell Timu and that that's like, 205 00:13:07,080 --> 00:13:11,040 Speaker 1: that's what Grizzly Research does, is that they make money 206 00:13:11,120 --> 00:13:15,640 Speaker 1: by company's stock going down. Essentially is the implication. I 207 00:13:15,640 --> 00:13:18,080 Speaker 1: don't know what the truth is, Honestly, I highly recommend 208 00:13:18,080 --> 00:13:22,160 Speaker 1: you check out Ashley Bellinger's article about this on Ours Technica. 209 00:13:22,240 --> 00:13:26,960 Speaker 1: It's titled shopping app Timu is dangerous malware spying on 210 00:13:27,000 --> 00:13:31,000 Speaker 1: your texts lawsuit claims. I think it's well worth reading. 211 00:13:31,240 --> 00:13:34,240 Speaker 1: Bellinger did a great job laying out all the facts 212 00:13:34,679 --> 00:13:38,120 Speaker 1: and also does a great job not like applying opinion 213 00:13:38,160 --> 00:13:41,360 Speaker 1: to it. It's very much a well, here's what's being claimed. 214 00:13:41,840 --> 00:13:45,600 Speaker 1: Here is how TIMU is trying to refute those claims, 215 00:13:45,920 --> 00:13:48,760 Speaker 1: and this is all we know at the moment. But 216 00:13:48,800 --> 00:13:50,640 Speaker 1: it's a it's a very well done piece. I recommend 217 00:13:50,640 --> 00:13:54,000 Speaker 1: reading it. YouTube is getting ready to launch more tiers 218 00:13:54,120 --> 00:13:58,000 Speaker 1: of YouTube Premium, so right now, the company offers three 219 00:13:58,280 --> 00:14:01,959 Speaker 1: tiers of service. There's a student version for seven dollars 220 00:14:02,080 --> 00:14:05,200 Speaker 1: ninety nine cents a month, there's the individual tier, which 221 00:14:05,240 --> 00:14:07,720 Speaker 1: is thirteen dollars ninety nine cents per month, and there's 222 00:14:07,760 --> 00:14:10,640 Speaker 1: a family tier for twenty two dollars ninety nine cents 223 00:14:10,640 --> 00:14:13,559 Speaker 1: per month. So that makes you wonder like, well, what 224 00:14:13,600 --> 00:14:16,439 Speaker 1: other tiers are they going to offer and how will 225 00:14:16,480 --> 00:14:19,960 Speaker 1: they be different from those three. YouTube has not shared 226 00:14:19,960 --> 00:14:22,920 Speaker 1: this information yet. We expect to hear more about it 227 00:14:23,240 --> 00:14:26,760 Speaker 1: in the weeks ahead. But these premium plans give you 228 00:14:26,840 --> 00:14:30,880 Speaker 1: access to YouTube videos without all those ads. You can 229 00:14:30,920 --> 00:14:33,680 Speaker 1: also do things like download videos to your local device. 230 00:14:34,240 --> 00:14:37,800 Speaker 1: You can access YouTube music without ads. I've had YouTube 231 00:14:37,800 --> 00:14:41,080 Speaker 1: Premium for several years now, although I never actually signed 232 00:14:41,160 --> 00:14:44,440 Speaker 1: up for it. Instead, I was subscribed to a different 233 00:14:44,760 --> 00:14:48,960 Speaker 1: Google service that, in true Google fashion, was later shut 234 00:14:49,000 --> 00:14:51,840 Speaker 1: down by the company and they just ported my subscription 235 00:14:51,920 --> 00:14:54,960 Speaker 1: over to YouTube instead, and I stuck with it because 236 00:14:55,200 --> 00:14:58,240 Speaker 1: I like watching YouTube videos without having ads. But it 237 00:14:58,320 --> 00:15:00,400 Speaker 1: comes at a cost. But honestly, I don't don't mind 238 00:15:00,400 --> 00:15:02,920 Speaker 1: paying it. I'm at a position where that is something 239 00:15:03,000 --> 00:15:05,280 Speaker 1: I can fit into my budget. I'm not suggesting that 240 00:15:05,400 --> 00:15:08,880 Speaker 1: everyone just fork over the money each month. A lot 241 00:15:08,880 --> 00:15:11,600 Speaker 1: of people are not in that position, and so I 242 00:15:11,680 --> 00:15:15,840 Speaker 1: get it. But other features that are coming to YouTube 243 00:15:15,840 --> 00:15:19,080 Speaker 1: Premium include some stuff like picture and picture capabilities with 244 00:15:19,160 --> 00:15:24,000 Speaker 1: YouTube shorts and a conversational AI assistant, which at first 245 00:15:24,040 --> 00:15:27,280 Speaker 1: I was not really jazzed about, but then I thought 246 00:15:27,280 --> 00:15:29,360 Speaker 1: about it. I thought, maybe I need one of those 247 00:15:29,760 --> 00:15:32,160 Speaker 1: something that can help me find, you know, like interesting 248 00:15:32,240 --> 00:15:38,840 Speaker 1: video essays. I really love in depth, interesting entertaining video essays, 249 00:15:39,080 --> 00:15:41,440 Speaker 1: but I want them that are coming from people who 250 00:15:41,480 --> 00:15:44,960 Speaker 1: are not like hateful people. Sometimes there's something that's posing 251 00:15:45,000 --> 00:15:48,520 Speaker 1: as a video essay and you get into it, like 252 00:15:48,560 --> 00:15:50,680 Speaker 1: you get five or ten minutes in, you're like, oh wait, 253 00:15:51,280 --> 00:15:54,480 Speaker 1: this is like propaganda for a hate group, and you 254 00:15:54,520 --> 00:15:58,680 Speaker 1: know it's not necessarily evident at the beginning, and you 255 00:15:58,760 --> 00:16:00,600 Speaker 1: start saying, I don't I don't want to be here. 256 00:16:00,760 --> 00:16:03,640 Speaker 1: If the AI assistant can help me figure those things 257 00:16:03,640 --> 00:16:05,880 Speaker 1: out from the get go without me having to watch 258 00:16:05,960 --> 00:16:08,640 Speaker 1: some of it first, I'm all for that, because I 259 00:16:08,720 --> 00:16:11,640 Speaker 1: do love watching really good content and I love avoiding 260 00:16:11,880 --> 00:16:16,040 Speaker 1: the kind of content I find to be upsetting. NASA 261 00:16:16,120 --> 00:16:18,720 Speaker 1: plans to bring down the International Space Station in a 262 00:16:18,720 --> 00:16:21,200 Speaker 1: few years, and it's going to pay SpaceX to get 263 00:16:21,240 --> 00:16:25,080 Speaker 1: the job done. Now, I'm tempted to turn this entire 264 00:16:25,160 --> 00:16:28,320 Speaker 1: news item into a spoof of mafia cliches, something like 265 00:16:28,400 --> 00:16:31,240 Speaker 1: you know, uh, this is a nice space station you 266 00:16:31,320 --> 00:16:33,720 Speaker 1: got here? Is suit would be a shame as someone 267 00:16:33,760 --> 00:16:37,240 Speaker 1: I don't know deorbited it. Well, A real story is 268 00:16:37,240 --> 00:16:40,000 Speaker 1: that the International Space Station was always going to have 269 00:16:40,120 --> 00:16:44,080 Speaker 1: a limited lifespan. The modules that make up the ISS 270 00:16:44,240 --> 00:16:48,359 Speaker 1: were mostly designed to have around a fifteen year lifespan, 271 00:16:48,760 --> 00:16:51,880 Speaker 1: longer if you did really good maintenance and repair on it. 272 00:16:52,120 --> 00:16:55,200 Speaker 1: And the very first of the ISS modules to go 273 00:16:55,240 --> 00:16:58,520 Speaker 1: into orbit is Zaria, and that actually went into orbit 274 00:16:58,560 --> 00:17:01,400 Speaker 1: back in nineteen ninety eight, so it's been up there 275 00:17:01,440 --> 00:17:04,679 Speaker 1: twenty five years. Reports say that there are cracks in 276 00:17:04,720 --> 00:17:08,560 Speaker 1: some of those older modules, particularly the Russian ones, and 277 00:17:08,640 --> 00:17:11,879 Speaker 1: that a lot of astronaut time is spent maintaining and 278 00:17:11,920 --> 00:17:14,200 Speaker 1: repairing the station in order to make sure it remains 279 00:17:14,320 --> 00:17:18,240 Speaker 1: safe to operate within. So it's growing close to time 280 00:17:18,280 --> 00:17:20,359 Speaker 1: for us to say goodbye to the old station and 281 00:17:20,400 --> 00:17:22,879 Speaker 1: make way for a new one. NASA's plan is to 282 00:17:22,920 --> 00:17:25,879 Speaker 1: deorbit the station in twenty thirty. To do so, the 283 00:17:25,920 --> 00:17:29,840 Speaker 1: agency has turned to SpaceX to design a deorbiting vehicle. 284 00:17:30,160 --> 00:17:32,880 Speaker 1: It's a vehicle that's going to guide the ISS down 285 00:17:32,920 --> 00:17:35,720 Speaker 1: so that it breaks apart and burns up over an 286 00:17:35,720 --> 00:17:39,800 Speaker 1: ocean as opposed to say, a continent, and the price 287 00:17:39,880 --> 00:17:44,680 Speaker 1: tag is eight hundred and forty three million dollars. As 288 00:17:44,720 --> 00:17:48,080 Speaker 1: for the successor to the International Space Station, NASA is 289 00:17:48,119 --> 00:17:51,720 Speaker 1: exploring the possibility of relying on commercial space stations, which 290 00:17:51,760 --> 00:17:56,120 Speaker 1: would be operated by companies and consortiums, and that NASA 291 00:17:56,240 --> 00:17:59,480 Speaker 1: would negotiate to have some space set aside for the 292 00:17:59,520 --> 00:18:03,040 Speaker 1: agency to be able to conduct experiments aboard these commercially 293 00:18:03,119 --> 00:18:06,360 Speaker 1: operated space stations. So we'll see how that goes. All right, 294 00:18:06,400 --> 00:18:08,600 Speaker 1: that's it for this episode. I do have a reading 295 00:18:08,640 --> 00:18:12,840 Speaker 1: recommendation on top of all that, I recommend Elizabeth Lopotto's 296 00:18:12,880 --> 00:18:17,320 Speaker 1: piece in The Verge titled Perplexities Grand theft Ai. So 297 00:18:17,440 --> 00:18:21,080 Speaker 1: Lopato reveals how a startup AI company is taking shots 298 00:18:21,119 --> 00:18:24,200 Speaker 1: at Google and how the biggest losers might be journalists 299 00:18:24,240 --> 00:18:27,880 Speaker 1: and subject matter experts. It's a story of ambition and 300 00:18:28,040 --> 00:18:32,680 Speaker 1: in my opinion, a flagrant disregard of copyright laws, not Lopato. 301 00:18:33,000 --> 00:18:36,080 Speaker 1: Lopato's work is solid. I mean it sounds like perplexity 302 00:18:36,119 --> 00:18:40,160 Speaker 1: AI is playing fast and loose with copyright law, but yeah, 303 00:18:40,240 --> 00:18:43,159 Speaker 1: you should check that out. That's it for this week. 304 00:18:43,280 --> 00:18:46,520 Speaker 1: I hope you are all well. Wish me a happy birthday, 305 00:18:46,760 --> 00:18:56,240 Speaker 1: and I'll talk to you again really soon. Tech Stuff 306 00:18:56,320 --> 00:19:00,200 Speaker 1: is an iHeartRadio production. For more podcasts from iheartrate, you 307 00:19:00,600 --> 00:19:04,320 Speaker 1: visit the iHeartRadio app, Apple Podcasts, or wherever you listen 308 00:19:04,320 --> 00:19:05,399 Speaker 1: to your favorite shows.