1 00:00:04,440 --> 00:00:07,840 Speaker 1: Welcome to tex Stuff, a production from I Heart Radio. 2 00:00:11,880 --> 00:00:14,440 Speaker 1: Hey there, and welcome to tech Stuff. I'm your host, 3 00:00:14,520 --> 00:00:17,280 Speaker 1: Jonathan Strickland. I'm an executive producer with I Heart Radio. 4 00:00:17,360 --> 00:00:19,840 Speaker 1: And how the tech are you. It's time for the 5 00:00:19,880 --> 00:00:26,000 Speaker 1: tech news for Thursday, June twenty twenty two. Let's get 6 00:00:26,160 --> 00:00:30,480 Speaker 1: to it here. In the United States, Senator Elizabeth Warren 7 00:00:30,520 --> 00:00:36,720 Speaker 1: has introduced the Health and Location Protection Act. This proposed legislation, 8 00:00:37,000 --> 00:00:40,680 Speaker 1: if it's passed into law, would place tight restrictions on 9 00:00:40,800 --> 00:00:45,640 Speaker 1: companies regarding user location and health data. As it stands, 10 00:00:45,640 --> 00:00:49,160 Speaker 1: Warrent argues, data brokers can buy and sell that kind 11 00:00:49,200 --> 00:00:54,200 Speaker 1: of information, which obviously compromises people's privacy. And in light 12 00:00:54,320 --> 00:00:58,520 Speaker 1: of the expected Supreme Court decision to overturn Row versus Wade, 13 00:00:58,840 --> 00:01:01,480 Speaker 1: there's also a concern women who live in states that 14 00:01:01,600 --> 00:01:06,320 Speaker 1: outlaw abortion might be persecuted should they seek an abortion 15 00:01:06,440 --> 00:01:09,320 Speaker 1: in another part of the country. In fact, some states 16 00:01:09,560 --> 00:01:13,440 Speaker 1: might consider passing laws that would make it illegal for 17 00:01:13,600 --> 00:01:16,800 Speaker 1: citizens to leave the state in order to get an abortion, 18 00:01:17,120 --> 00:01:20,840 Speaker 1: which is a complicated topic. It would undoubtedly face multiple 19 00:01:20,880 --> 00:01:24,480 Speaker 1: tests in court, but in the meantime, Senator Warren is 20 00:01:24,520 --> 00:01:28,200 Speaker 1: concerned that people will be struggling while the political system 21 00:01:28,200 --> 00:01:32,640 Speaker 1: actually hashes everything out. So part of the impetus for 22 00:01:32,680 --> 00:01:35,960 Speaker 1: this legislation is the desire to protect those who need 23 00:01:35,959 --> 00:01:39,200 Speaker 1: to travel in order to seek out a medical procedure 24 00:01:39,560 --> 00:01:43,280 Speaker 1: that would otherwise be illegal for them. But generally speaking, 25 00:01:43,480 --> 00:01:47,039 Speaker 1: there's been a need for better protections for data for 26 00:01:47,120 --> 00:01:50,560 Speaker 1: a very long time for US citizens. We've seen other 27 00:01:50,600 --> 00:01:54,000 Speaker 1: parts of the world, notably the European Union past broad 28 00:01:54,120 --> 00:01:58,560 Speaker 1: legislation aimed at protecting citizen data, but here in the 29 00:01:58,680 --> 00:02:02,480 Speaker 1: US that really hasn't been a thing, at least not 30 00:02:02,600 --> 00:02:06,080 Speaker 1: at the federal level. Warren's proposal would give the FTC 31 00:02:06,360 --> 00:02:09,680 Speaker 1: the power to enforce rules regarding location and health data, 32 00:02:10,120 --> 00:02:12,840 Speaker 1: and it would also give citizens a path to sue 33 00:02:12,919 --> 00:02:17,079 Speaker 1: data brokers that are found to violate that law. Of course, 34 00:02:17,400 --> 00:02:20,400 Speaker 1: a lot has to happen before a proposal becomes law, 35 00:02:20,680 --> 00:02:23,840 Speaker 1: so there's no guarantee that this will actually get to 36 00:02:23,880 --> 00:02:26,480 Speaker 1: a point where you know, we can rely on it. 37 00:02:26,560 --> 00:02:29,000 Speaker 1: We'll have to see. While we're on the subject of 38 00:02:29,080 --> 00:02:33,120 Speaker 1: data brokers and user privacy, let's talk about a change 39 00:02:33,160 --> 00:02:37,160 Speaker 1: that Firefox has made recently. The browser has been employing 40 00:02:37,240 --> 00:02:41,280 Speaker 1: numerous protective features for several years now, back in Tighten 41 00:02:41,440 --> 00:02:45,560 Speaker 1: it launched the Enhanced Tracking Protection or e t P feature, 42 00:02:46,240 --> 00:02:49,880 Speaker 1: and initially that was an option you could activate, but 43 00:02:49,960 --> 00:02:54,000 Speaker 1: Firefox later would turn it on by default. ETP blocks 44 00:02:54,040 --> 00:02:58,160 Speaker 1: web cookies from known trackers. These are entities that attempt 45 00:02:58,360 --> 00:03:01,840 Speaker 1: to track user brow your behavior from site to site 46 00:03:02,280 --> 00:03:05,360 Speaker 1: in an effort to build out dossiers on those users, 47 00:03:05,400 --> 00:03:10,040 Speaker 1: typically so that the tracker can then sell that data 48 00:03:10,160 --> 00:03:13,400 Speaker 1: to data brokers, and they in turn typically sell the 49 00:03:13,440 --> 00:03:15,720 Speaker 1: information advertisers. Of course, there are a lot of other 50 00:03:15,840 --> 00:03:18,240 Speaker 1: things that can happen with your data, most of them 51 00:03:18,240 --> 00:03:21,600 Speaker 1: are not good. But the most recent feature that Firefox 52 00:03:21,639 --> 00:03:24,400 Speaker 1: has turned on by default is one that protects against 53 00:03:24,480 --> 00:03:29,440 Speaker 1: cross site tracking. That means this feature prevents cookies from 54 00:03:29,480 --> 00:03:32,280 Speaker 1: tracking where you came from and where you're going to 55 00:03:32,600 --> 00:03:36,840 Speaker 1: across different sites, and it's called total cookie protection. The 56 00:03:36,920 --> 00:03:40,960 Speaker 1: concept is that each website cookie will be siloed from 57 00:03:41,000 --> 00:03:44,600 Speaker 1: everything else. In fact, bleeping computer dot com has a 58 00:03:44,600 --> 00:03:47,840 Speaker 1: great way of putting this that each websites cookies will 59 00:03:47,880 --> 00:03:51,280 Speaker 1: be kept in that website's own cookie jar and they 60 00:03:51,320 --> 00:03:54,400 Speaker 1: won't mix with the other websites, so you'll still be 61 00:03:54,400 --> 00:03:56,880 Speaker 1: able to take advantage of what cookies can offer on 62 00:03:56,920 --> 00:04:00,360 Speaker 1: an individual site. So for example, uh, it could keep 63 00:04:00,400 --> 00:04:03,400 Speaker 1: your browsing history on a specific site, like a shopping site, 64 00:04:03,440 --> 00:04:05,400 Speaker 1: so that way you can easily navigate to stuff that 65 00:04:05,440 --> 00:04:07,960 Speaker 1: you had shown interest in, or it might keep you 66 00:04:08,040 --> 00:04:11,280 Speaker 1: logged into a site between sessions. Those are useful things. 67 00:04:11,280 --> 00:04:14,600 Speaker 1: So cookies are not all bad, but it will prevent 68 00:04:14,640 --> 00:04:17,479 Speaker 1: trackers from being able to build a browsing profile or 69 00:04:17,560 --> 00:04:21,679 Speaker 1: fingerprint on you. So this has led to some people 70 00:04:21,720 --> 00:04:25,520 Speaker 1: declaring Firefox as being the most secure browser when it 71 00:04:25,600 --> 00:04:29,800 Speaker 1: comes to user data, that there are the most protections 72 00:04:29,800 --> 00:04:33,280 Speaker 1: in place, many of them on by default that will 73 00:04:33,400 --> 00:04:37,400 Speaker 1: prevent your data from falling into the wrong hands, especially 74 00:04:37,400 --> 00:04:39,640 Speaker 1: without your knowledge, because a lot of that stuff happens 75 00:04:40,000 --> 00:04:44,560 Speaker 1: without us necessarily being aware of it. I don't often 76 00:04:44,600 --> 00:04:47,880 Speaker 1: talk about benchmark tests on this show, but I've got 77 00:04:47,880 --> 00:04:50,320 Speaker 1: a couple of stories that relate to them today. So 78 00:04:51,040 --> 00:04:54,560 Speaker 1: a benchmark test is one in which the test administrator 79 00:04:54,680 --> 00:04:58,200 Speaker 1: puts whatever technology it happens to be through a series 80 00:04:58,240 --> 00:05:03,240 Speaker 1: of tasks to measure it's actual output. Because sometimes actual 81 00:05:03,279 --> 00:05:07,360 Speaker 1: output and what was, you know, theoretically possible on paper 82 00:05:07,360 --> 00:05:12,000 Speaker 1: are two very different things. So Our first benchmark story 83 00:05:12,240 --> 00:05:16,240 Speaker 1: is about Apple's mto processor. Apple had been relying on 84 00:05:16,400 --> 00:05:19,360 Speaker 1: Intel up until a couple of years ago to provide 85 00:05:19,360 --> 00:05:24,200 Speaker 1: the processors for Apple's computers. But now the second generation 86 00:05:24,240 --> 00:05:28,080 Speaker 1: of Apple's own processor, the M two UH, is out, 87 00:05:28,120 --> 00:05:30,600 Speaker 1: and the tests say that the new one is twelve 88 00:05:30,640 --> 00:05:34,320 Speaker 1: percent faster than the M one processor in the same 89 00:05:34,360 --> 00:05:38,119 Speaker 1: sort of machine if it's used in a single core 90 00:05:38,279 --> 00:05:42,640 Speaker 1: processor mode, but when used in multi core functions, the 91 00:05:42,839 --> 00:05:46,839 Speaker 1: M two processor is twenty percent faster. That's actually even 92 00:05:46,920 --> 00:05:49,400 Speaker 1: better than what Apple was saying. And it's w w 93 00:05:49,600 --> 00:05:53,240 Speaker 1: d C presentation about its upcoming computers it had more 94 00:05:53,279 --> 00:05:56,960 Speaker 1: conservatively placed the M two as being eighteen percent faster 95 00:05:57,040 --> 00:05:59,480 Speaker 1: than the M one, So this is really good news 96 00:05:59,480 --> 00:06:02,279 Speaker 1: for folks rely on Apple machines. Now we just have 97 00:06:02,360 --> 00:06:04,960 Speaker 1: to hope that Worth's law doesn't muck things up. And 98 00:06:05,000 --> 00:06:07,840 Speaker 1: in case you're unfamiliar, Worth's law is actually a kind 99 00:06:07,880 --> 00:06:12,160 Speaker 1: of a cheeky observation that says software is getting slower 100 00:06:12,440 --> 00:06:15,840 Speaker 1: at a rate that outpaces how computers are getting faster. 101 00:06:16,520 --> 00:06:20,120 Speaker 1: Essentially that programmers, when they're given the leverage of better hardware, 102 00:06:20,560 --> 00:06:25,599 Speaker 1: end up making even more bloated software. The other benchmark 103 00:06:25,680 --> 00:06:29,040 Speaker 1: test story I wanted to cover is about Samsung and 104 00:06:29,200 --> 00:06:34,360 Speaker 1: it's television's Vincent Teo of h D TV Test discovered 105 00:06:34,440 --> 00:06:39,120 Speaker 1: that the s nine five b q d O led 106 00:06:39,160 --> 00:06:41,320 Speaker 1: TV that he was testing in gosh, I just I 107 00:06:41,560 --> 00:06:45,320 Speaker 1: love model names, don't you. It's so easy anyway, that 108 00:06:45,400 --> 00:06:49,279 Speaker 1: this particular television he was testing was acting a little peculiar. 109 00:06:49,760 --> 00:06:54,080 Speaker 1: You see, Typically, the way that test administrators check on 110 00:06:54,200 --> 00:06:57,880 Speaker 1: televisions is that they create a test window that only 111 00:06:57,920 --> 00:07:02,040 Speaker 1: takes up a certain percentage age of the full screen 112 00:07:02,120 --> 00:07:06,200 Speaker 1: of the television. You know, they're focusing on a sector 113 00:07:06,440 --> 00:07:08,560 Speaker 1: of the TV screen in order to do their tests, 114 00:07:08,600 --> 00:07:14,240 Speaker 1: and the typical test uses ten percent of a television screen. 115 00:07:14,800 --> 00:07:18,400 Speaker 1: These tests tend to measure everything from luminosity as in 116 00:07:18,560 --> 00:07:22,440 Speaker 1: how bright the images can get, to contrast which is 117 00:07:22,800 --> 00:07:26,040 Speaker 1: the range of colors between true black and true white, 118 00:07:26,680 --> 00:07:31,920 Speaker 1: and resolution, among other things. Teo documented that the Samsung 119 00:07:32,000 --> 00:07:35,440 Speaker 1: TV he tested appeared to be boosting performance within the 120 00:07:35,480 --> 00:07:40,080 Speaker 1: test area, which meant that the television was inflating its score. 121 00:07:40,600 --> 00:07:44,040 Speaker 1: It was cheating, in other words, was using an algorithm 122 00:07:44,360 --> 00:07:49,200 Speaker 1: to give unrealistic results that could not be replicated on 123 00:07:49,240 --> 00:07:52,880 Speaker 1: the television as a whole. This actually reminds me of 124 00:07:53,000 --> 00:07:56,160 Speaker 1: Diesel gait, which was the Volkswagen scandal from a few 125 00:07:56,240 --> 00:07:59,440 Speaker 1: years ago, if case you don't remember that. In that scandal, 126 00:07:59,800 --> 00:08:05,520 Speaker 1: people discovered that several diesel powered Volkswagen models would switch 127 00:08:05,600 --> 00:08:09,000 Speaker 1: into kind of a low emissions mode when the car's 128 00:08:09,040 --> 00:08:13,520 Speaker 1: computer system detected that the car was being tested for emissions, 129 00:08:14,040 --> 00:08:17,440 Speaker 1: But then once it was disconnected from the test system, 130 00:08:17,480 --> 00:08:21,360 Speaker 1: the car would then switch into a performance mode, presumably 131 00:08:21,440 --> 00:08:24,640 Speaker 1: one that would not have passed the emissions test because 132 00:08:24,720 --> 00:08:26,760 Speaker 1: it was going to create more emissions, it was going 133 00:08:26,800 --> 00:08:30,880 Speaker 1: to output more power. Well, Samsung sounds like it was 134 00:08:30,920 --> 00:08:34,800 Speaker 1: doing something similar, and when tested, the television would send 135 00:08:35,120 --> 00:08:38,439 Speaker 1: more power to that little test region to boost stuff 136 00:08:38,480 --> 00:08:41,079 Speaker 1: like luminosity, But it wouldn't be able to do that 137 00:08:41,120 --> 00:08:43,640 Speaker 1: for the television screen as a whole, at least not 138 00:08:43,760 --> 00:08:48,800 Speaker 1: sustainably without risking damaging the TV itself. Teo and others 139 00:08:48,800 --> 00:08:52,040 Speaker 1: found that by using a non standard test window, one 140 00:08:52,120 --> 00:08:54,760 Speaker 1: that didn't take up ten percent of the screen, say 141 00:08:55,160 --> 00:08:59,079 Speaker 1: just nine of the screen, that the television would perform 142 00:08:59,160 --> 00:09:02,280 Speaker 1: and its normal pacity, and that this the so called 143 00:09:02,360 --> 00:09:06,720 Speaker 1: cheating algorithm, would be foiled. So Samsung came under fire 144 00:09:06,800 --> 00:09:10,280 Speaker 1: for trying to fudge its television benchmarks, at least allegedly 145 00:09:10,400 --> 00:09:13,880 Speaker 1: trying to do that. The company's response has not exactly 146 00:09:13,960 --> 00:09:17,439 Speaker 1: been an admission of wrongdoing. Rather, when responding to a 147 00:09:17,559 --> 00:09:21,920 Speaker 1: query posted by flat Panels h D, the company repped 148 00:09:21,960 --> 00:09:25,959 Speaker 1: from Samsung wrote quote, to provide a more dynamic viewing 149 00:09:25,960 --> 00:09:29,800 Speaker 1: experience for the consumers, Samsung will provide a software update 150 00:09:29,840 --> 00:09:34,080 Speaker 1: that ensures consistent brightness of HDR contents across a wider 151 00:09:34,200 --> 00:09:38,640 Speaker 1: range of windows size beyond the industry standard end quote. 152 00:09:39,440 --> 00:09:43,840 Speaker 1: Now what they're saying is, oh, we didn't account for 153 00:09:44,320 --> 00:09:48,240 Speaker 1: people using other sizes besides ten percent window because that standard. 154 00:09:48,640 --> 00:09:50,640 Speaker 1: So we're just gonna update this so that when you 155 00:09:50,679 --> 00:09:53,760 Speaker 1: do your test window, no matter what the sizes, you're 156 00:09:53,760 --> 00:09:56,880 Speaker 1: gonna get the right results. It kind of sounds like 157 00:09:56,920 --> 00:10:00,160 Speaker 1: they're updating the cheating algorithm, as flat Panels a D 158 00:10:00,320 --> 00:10:03,920 Speaker 1: called it, in order to fool any kind of test. 159 00:10:04,559 --> 00:10:07,960 Speaker 1: But you know, maybe maybe that's just a misinterpretation on 160 00:10:08,040 --> 00:10:11,679 Speaker 1: my part. You know, we'll have to wait and see 161 00:10:11,800 --> 00:10:14,520 Speaker 1: if there's any follow up to this, and you know, 162 00:10:14,559 --> 00:10:16,880 Speaker 1: if if it turns out that the whole TV screen 163 00:10:16,960 --> 00:10:20,800 Speaker 1: actually is capable of the same things that the benchmark 164 00:10:20,880 --> 00:10:25,080 Speaker 1: tests were saying. There's a moot point, but flat panels, 165 00:10:25,320 --> 00:10:29,480 Speaker 1: HD and others have suggested that according to their tests, 166 00:10:30,120 --> 00:10:32,760 Speaker 1: that just wasn't what they were seeing. So we'll have 167 00:10:32,800 --> 00:10:35,480 Speaker 1: to see if this story develops. We have some more 168 00:10:35,520 --> 00:10:38,440 Speaker 1: stories for today. Before we get to those, let's take 169 00:10:38,520 --> 00:10:52,520 Speaker 1: a quick break. We're back. It's time to get boring. Yeah. 170 00:10:52,559 --> 00:10:56,280 Speaker 1: The Boring Company, which if you weren't familiar, is an 171 00:10:56,320 --> 00:10:59,920 Speaker 1: Elon musk Endeavor, has received the go ahead to day 172 00:11:00,200 --> 00:11:04,000 Speaker 1: more tunnels beneath the city of Las Vegas, Nevada. So 173 00:11:04,160 --> 00:11:06,920 Speaker 1: the Boring Company previously built a tunnel system under the 174 00:11:07,000 --> 00:11:09,920 Speaker 1: Las Vegas Convention Center with the goal of making it 175 00:11:09,960 --> 00:11:13,800 Speaker 1: easier to get across the lvc C during busy conferences 176 00:11:13,880 --> 00:11:18,000 Speaker 1: like C s now way back in the day. In 177 00:11:18,040 --> 00:11:21,559 Speaker 1: the earliest days of the Boring Company, we largely associated 178 00:11:21,600 --> 00:11:24,240 Speaker 1: the idea of the Boring Company with the idea of 179 00:11:24,320 --> 00:11:28,760 Speaker 1: the hyper loop transportation system. But these days that vision 180 00:11:28,760 --> 00:11:33,200 Speaker 1: has been whittled back to essentially underground roads, at least 181 00:11:33,200 --> 00:11:35,880 Speaker 1: in the case of the Las Vegas Convention Center, because 182 00:11:35,920 --> 00:11:40,160 Speaker 1: they're rather than having passengers and cars moved through tunnels 183 00:11:40,200 --> 00:11:45,280 Speaker 1: on trains or even on sleds within tunnels where much 184 00:11:45,280 --> 00:11:47,000 Speaker 1: of the air has been pumped out in order to 185 00:11:47,000 --> 00:11:50,680 Speaker 1: reduce air resistance and increase the rate of travel. Instead, 186 00:11:50,760 --> 00:11:55,680 Speaker 1: passengers hop into human driven Tesla vehicles. So really it's 187 00:11:55,840 --> 00:12:00,920 Speaker 1: ride hailing, but underground and with only Tesla vehicles driven 188 00:12:00,960 --> 00:12:05,360 Speaker 1: by humans. So this isn't even that first compromised vision 189 00:12:05,400 --> 00:12:09,680 Speaker 1: where we went from the hyperloop train to a moving sled, 190 00:12:09,800 --> 00:12:12,240 Speaker 1: so that you would drive your vehicle onto a sled 191 00:12:12,280 --> 00:12:14,880 Speaker 1: which would then take you and your vehicle to wherever 192 00:12:14,920 --> 00:12:17,240 Speaker 1: it was you wanted to go. Instead, this is just 193 00:12:17,320 --> 00:12:19,800 Speaker 1: getting into a vehicle and writing to a stop, at 194 00:12:19,880 --> 00:12:22,040 Speaker 1: least at the convention center. I don't know that that's 195 00:12:22,080 --> 00:12:24,839 Speaker 1: how it's going to be for Las Vegas as a whole, 196 00:12:25,160 --> 00:12:27,480 Speaker 1: but the City of Las Vegas has approved the boring 197 00:12:27,520 --> 00:12:30,840 Speaker 1: company's plan to dig a system that will spend nearly 198 00:12:30,920 --> 00:12:33,959 Speaker 1: thirty miles and will include more than fifty stops on it. 199 00:12:34,640 --> 00:12:37,839 Speaker 1: And maybe that system will incorporate the sled devices we 200 00:12:37,920 --> 00:12:40,200 Speaker 1: heard about in the past, or maybe it'll just be 201 00:12:40,240 --> 00:12:43,600 Speaker 1: an underground road system that adds more traffic to Las Vegas. 202 00:12:43,679 --> 00:12:47,280 Speaker 1: Is just traffic that's happening underneath the city. Many critics 203 00:12:47,280 --> 00:12:50,840 Speaker 1: have argued that an alternative like a train system would 204 00:12:50,840 --> 00:12:53,880 Speaker 1: have been a much better option. But I suppose we're 205 00:12:53,920 --> 00:12:55,880 Speaker 1: just gonna have to wait to find out like it's 206 00:12:56,480 --> 00:12:59,240 Speaker 1: Once it happens, we'll be able to say more clearly 207 00:12:59,280 --> 00:13:01,600 Speaker 1: if it was a success or not. Of course, by 208 00:13:01,600 --> 00:13:04,280 Speaker 1: then it might be too late. But who knows. Maybe 209 00:13:04,280 --> 00:13:06,760 Speaker 1: the tunnels will be really effective. I'm a little skeptical, 210 00:13:07,080 --> 00:13:11,880 Speaker 1: but I hope that I'm proven wrong. The Washington Post 211 00:13:12,000 --> 00:13:16,240 Speaker 1: recently published an article about how the US National Highway 212 00:13:16,280 --> 00:13:20,120 Speaker 1: Traffic Safety Administration, or n h t s A, released 213 00:13:20,120 --> 00:13:22,719 Speaker 1: a report showing that within the last year or so, 214 00:13:23,080 --> 00:13:26,920 Speaker 1: Tesla vehicles in autopilot mode have been involved in two 215 00:13:27,080 --> 00:13:31,000 Speaker 1: hundred seventy three crashes. That's a lot more than had 216 00:13:31,040 --> 00:13:34,400 Speaker 1: been previously reported, and according to the nh t s A, 217 00:13:34,600 --> 00:13:39,280 Speaker 1: Tesla vehicles made up almost seventy percent of all crashes 218 00:13:39,320 --> 00:13:42,480 Speaker 1: that happened while a vehicle was operating in an advanced 219 00:13:42,640 --> 00:13:46,319 Speaker 1: driver assistance mode, which is what we would call Tesla's 220 00:13:46,360 --> 00:13:49,640 Speaker 1: autopilot system. Now, I want to walk through a few 221 00:13:49,640 --> 00:13:52,600 Speaker 1: things before we really draw any conclusions. Y'all know, I 222 00:13:52,679 --> 00:13:55,680 Speaker 1: am not a big fan of Tesla the company, but 223 00:13:56,280 --> 00:13:59,160 Speaker 1: I think it's only fair that we really consider all 224 00:13:59,160 --> 00:14:02,040 Speaker 1: the different factors before we just say, oh, that means 225 00:14:02,080 --> 00:14:04,720 Speaker 1: Tesla vehicles are inherently unsafe. I don't think that's a 226 00:14:04,720 --> 00:14:10,160 Speaker 1: fair conclusion, because one is that you know, of all 227 00:14:10,280 --> 00:14:14,600 Speaker 1: accidents in driver assistance mode being Tesla vehicles. That is huge, 228 00:14:14,600 --> 00:14:18,640 Speaker 1: you know, saying that nearly three quarters of all vehicles 229 00:14:18,679 --> 00:14:21,680 Speaker 1: that are involved in crashes, all vehicles that were in 230 00:14:21,800 --> 00:14:25,040 Speaker 1: advanced driver assistance mode while being involved in crashes are Tesla's. 231 00:14:25,320 --> 00:14:28,760 Speaker 1: That does paint a bad picture. But does that actually 232 00:14:28,760 --> 00:14:31,680 Speaker 1: mean that Tesla system is inherently more dangerous than any 233 00:14:31,720 --> 00:14:36,680 Speaker 1: other manufacturers system. Not necessarily, because to draw that conclusion 234 00:14:36,720 --> 00:14:40,120 Speaker 1: we would need a lot more data. For example, you know, 235 00:14:40,200 --> 00:14:43,480 Speaker 1: Tesla is a really popular car model that has those 236 00:14:43,520 --> 00:14:49,560 Speaker 1: sorts of features. Not every car has advanced driver assistant features, right, 237 00:14:50,000 --> 00:14:53,080 Speaker 1: So you would first need to know what percentage of 238 00:14:53,120 --> 00:14:58,760 Speaker 1: the overall market of vehicles with these features does Tesla occupy, right, 239 00:14:58,800 --> 00:15:02,720 Speaker 1: Because if Tesla has of the cars with these features 240 00:15:02,720 --> 00:15:07,120 Speaker 1: on the road, but only accounts for seventy of accidents 241 00:15:07,160 --> 00:15:11,640 Speaker 1: involved with these features, enabled. That's different than saying, oh, well, 242 00:15:11,640 --> 00:15:15,160 Speaker 1: Tesla makes up of the market. Right. You have to 243 00:15:15,240 --> 00:15:17,000 Speaker 1: know all these things in order to be able to 244 00:15:17,080 --> 00:15:21,880 Speaker 1: draw some conclusions. Tesla maintains that its systems reduced the 245 00:15:21,920 --> 00:15:25,360 Speaker 1: likelihood of crashes, and it could be that Tesla's driver 246 00:15:25,440 --> 00:15:30,480 Speaker 1: assistance features have actually prevented way more accidents than otherwise 247 00:15:30,520 --> 00:15:33,040 Speaker 1: would have happened. So like, there's no way for us 248 00:15:33,040 --> 00:15:35,280 Speaker 1: to know that, right. We can't look back and say 249 00:15:35,360 --> 00:15:40,400 Speaker 1: how many accidents didn't happen because of autopilot. It could 250 00:15:40,480 --> 00:15:43,600 Speaker 1: be that if autopilot had not been a factor, lots 251 00:15:43,640 --> 00:15:45,800 Speaker 1: more people would have been in a lot more accidents. 252 00:15:45,960 --> 00:15:49,280 Speaker 1: It's impossible for us to say. So. Again, we can't 253 00:15:49,400 --> 00:15:52,920 Speaker 1: draw firm conclusions because we lack the data to be 254 00:15:53,000 --> 00:15:57,080 Speaker 1: able to do it. One other thing I did find interesting. 255 00:15:57,120 --> 00:16:00,960 Speaker 1: According to the Washington Post, regulators discus heard that Tesla's 256 00:16:01,000 --> 00:16:06,400 Speaker 1: autopilot system would automatically shut off a second before impact 257 00:16:06,800 --> 00:16:12,240 Speaker 1: when the system detected an imminent crash. So the implication 258 00:16:12,600 --> 00:16:15,520 Speaker 1: there is that Tesla may have built in kind of 259 00:16:15,520 --> 00:16:21,000 Speaker 1: a plausible deniability switch that technically, when a Tesla vehicle 260 00:16:21,040 --> 00:16:25,040 Speaker 1: gets in a crash, autopilot wasn't in charge because autopilot 261 00:16:25,160 --> 00:16:29,160 Speaker 1: shut off a second before the truck the crash actually happened. However, 262 00:16:30,400 --> 00:16:34,680 Speaker 1: the nh T s A accounted for this by demanding 263 00:16:34,760 --> 00:16:39,120 Speaker 1: data for any accident that happened within thirty seconds of 264 00:16:39,120 --> 00:16:44,920 Speaker 1: an advanced driver assistant system being active. So you couldn't 265 00:16:45,560 --> 00:16:49,640 Speaker 1: ignore those cases. Right, if the autopilot shut off one 266 00:16:49,680 --> 00:16:52,440 Speaker 1: second before an accident, that would still qualify for the 267 00:16:52,560 --> 00:16:55,840 Speaker 1: nh T s A. UH and a thirty second gap 268 00:16:55,960 --> 00:16:59,080 Speaker 1: is long enough where you could reasonably say, well, the 269 00:16:59,680 --> 00:17:03,680 Speaker 1: auto pilot system or whatever the driver assist system was 270 00:17:04,400 --> 00:17:07,680 Speaker 1: couldn't have been responsible because there was a long enough 271 00:17:07,720 --> 00:17:09,800 Speaker 1: gap there between when it was on and when it 272 00:17:09,840 --> 00:17:12,439 Speaker 1: was switched off. So it had to be you know, 273 00:17:12,880 --> 00:17:17,200 Speaker 1: human responsibility, not not machine responsibility. So that was how 274 00:17:17,240 --> 00:17:20,880 Speaker 1: the nh T s A kind of got around that issue. Now, 275 00:17:20,920 --> 00:17:25,080 Speaker 1: this information about these accidents have prompted some lawmakers to 276 00:17:25,200 --> 00:17:27,760 Speaker 1: say they need to look more closely at this sort 277 00:17:27,800 --> 00:17:31,040 Speaker 1: of technology, and that does make sense. I don't think 278 00:17:31,080 --> 00:17:33,440 Speaker 1: anyone is going so far as to say these features 279 00:17:33,480 --> 00:17:37,800 Speaker 1: are a bad idea, but rather that the implementation and 280 00:17:37,880 --> 00:17:41,480 Speaker 1: deployment can put people at risk, particularly if people rely 281 00:17:41,640 --> 00:17:45,240 Speaker 1: too heavily on systems that are meant to assist, but 282 00:17:45,359 --> 00:17:49,800 Speaker 1: not replace, human attention and action. And now for a 283 00:17:49,800 --> 00:17:54,720 Speaker 1: couple of stories about censorship the web, misinformation abuse, that 284 00:17:54,800 --> 00:17:57,320 Speaker 1: kind of thing. And first up is Turkey, which may 285 00:17:57,320 --> 00:17:59,760 Speaker 1: soon pass a law that will make it illegal to 286 00:18:00,000 --> 00:18:04,400 Speaker 1: read fake news and misinformation on the Internet, primarily targeting 287 00:18:04,440 --> 00:18:08,479 Speaker 1: social media companies. And here's where things get really tricky. 288 00:18:08,840 --> 00:18:13,480 Speaker 1: So on the one hand, yes, misinformation is a very 289 00:18:13,560 --> 00:18:17,520 Speaker 1: real and global problem. We frequently talk about it on 290 00:18:17,560 --> 00:18:20,679 Speaker 1: this show, and there are countries all around the world 291 00:18:20,760 --> 00:18:24,600 Speaker 1: grappling with ways to hold platforms accountable for how they 292 00:18:24,640 --> 00:18:28,840 Speaker 1: respond to reports of misinformation. I myself am in favor 293 00:18:28,960 --> 00:18:33,280 Speaker 1: of measures that can detect and respond to misinformation. That 294 00:18:33,359 --> 00:18:36,760 Speaker 1: being said, we also have to remember that you always 295 00:18:36,800 --> 00:18:40,639 Speaker 1: have to ask the question who determines what is and 296 00:18:41,000 --> 00:18:45,600 Speaker 1: isn't misinformation? Because in Turkey that falls to a government 297 00:18:45,640 --> 00:18:49,960 Speaker 1: that has for years cracked down on various communications platforms 298 00:18:50,320 --> 00:18:55,119 Speaker 1: in an authoritarian approach to control the narrative. Now, this 299 00:18:55,200 --> 00:18:59,119 Speaker 1: is the sort of scenario that free speech absolutists often cite, 300 00:18:59,240 --> 00:19:02,480 Speaker 1: that any frictions on speech are going to be dictated 301 00:19:02,600 --> 00:19:05,720 Speaker 1: by an authority, and that authority might not have your 302 00:19:05,760 --> 00:19:09,560 Speaker 1: best interests at heart. So therefore restrictions on free speech 303 00:19:09,600 --> 00:19:13,400 Speaker 1: are bad and certainly, should this proposed legislation become law 304 00:19:13,440 --> 00:19:16,400 Speaker 1: and Turkey, I expect the government will use it as 305 00:19:16,400 --> 00:19:20,960 Speaker 1: a justification to censor any voices that oppose that government 306 00:19:20,960 --> 00:19:25,399 Speaker 1: in any meaningful way. However, we also have seen the 307 00:19:25,480 --> 00:19:30,000 Speaker 1: incredible harm that misinformation campaigns can cause, and shrugging your 308 00:19:30,000 --> 00:19:32,600 Speaker 1: shoulders and saying well, people just need to make up 309 00:19:32,640 --> 00:19:37,320 Speaker 1: their own minds, as Zuckerberg once said, that absolutely ignores 310 00:19:37,359 --> 00:19:40,240 Speaker 1: the truckloads of evidence we have gathered about how things 311 00:19:40,359 --> 00:19:46,639 Speaker 1: like echo chambers can help radicalize people. Anyway, long story short, 312 00:19:47,080 --> 00:19:49,720 Speaker 1: I am concerned about this law, although I also think 313 00:19:49,720 --> 00:19:53,119 Speaker 1: the Turkish government has effectively been censoring stuff online for years, 314 00:19:53,119 --> 00:19:54,919 Speaker 1: so in a way you could just say that this is, 315 00:19:55,480 --> 00:20:00,239 Speaker 1: you know, just a formality, and I, you know, I 316 00:20:00,280 --> 00:20:03,439 Speaker 1: also struggle with this. This is a complicated issue where 317 00:20:04,000 --> 00:20:09,199 Speaker 1: I definitely want to see misinformation get pushed back, but 318 00:20:09,760 --> 00:20:12,680 Speaker 1: at the same time you have to worry about who's 319 00:20:12,680 --> 00:20:16,680 Speaker 1: doing the pushing. Meanwhile, over in Japan, there's a new 320 00:20:16,720 --> 00:20:21,040 Speaker 1: punishment for people who are found guilty of insulting someone online. 321 00:20:21,520 --> 00:20:24,560 Speaker 1: And first, by insulting, I mean insulting with the intent 322 00:20:24,760 --> 00:20:28,320 Speaker 1: to harm someone. So presumably the way Ben Bolan and 323 00:20:28,359 --> 00:20:31,800 Speaker 1: I insult each other would not qualify, because actually we 324 00:20:32,240 --> 00:20:34,399 Speaker 1: like each other, we're friendly with one another, but we 325 00:20:34,440 --> 00:20:38,199 Speaker 1: do insult each other on occasion. Secondly, I need to 326 00:20:38,200 --> 00:20:41,080 Speaker 1: say this isn't a new law. Instead, it's more of 327 00:20:41,119 --> 00:20:44,080 Speaker 1: an expansion of an existing law that's meant to deter 328 00:20:44,240 --> 00:20:48,680 Speaker 1: people from insulting each other and for those insults to 329 00:20:49,240 --> 00:20:53,520 Speaker 1: ultimately cause harm. So this expansion means that now if 330 00:20:53,560 --> 00:20:56,720 Speaker 1: you were found guilty of insulting someone with the intent 331 00:20:56,800 --> 00:20:59,679 Speaker 1: to harm that person, you can face up to a 332 00:20:59,800 --> 00:21:04,560 Speaker 1: year are in jail. Yikes. Now, there's already a plan 333 00:21:04,640 --> 00:21:07,000 Speaker 1: in place to revisit this law in three years, to 334 00:21:07,040 --> 00:21:08,840 Speaker 1: review it to see what kind of impact it has 335 00:21:08,880 --> 00:21:12,240 Speaker 1: on free speech versus civility. So it's possible that in 336 00:21:12,280 --> 00:21:16,600 Speaker 1: the future Japan will remove the jail time sentence. But yeah, 337 00:21:16,960 --> 00:21:20,359 Speaker 1: you gotta be careful who you call baca, y'all. All right, 338 00:21:20,440 --> 00:21:22,800 Speaker 1: we've got a couple more news stories to go before 339 00:21:22,800 --> 00:21:35,520 Speaker 1: we get to that. Let's take another quick break. We're 340 00:21:35,560 --> 00:21:39,160 Speaker 1: back so some so nos customers got a little more 341 00:21:39,200 --> 00:21:43,200 Speaker 1: than what they bargained for, literally after they ordered products 342 00:21:43,240 --> 00:21:46,520 Speaker 1: from the company. So in a few cases, so nos 343 00:21:46,680 --> 00:21:51,320 Speaker 1: Is ordering system accidentally sent some customers extra products. So, 344 00:21:51,400 --> 00:21:55,240 Speaker 1: in one case reported on by the Verge, a customer 345 00:21:55,280 --> 00:21:59,320 Speaker 1: who ordered like six different things from so Nos ended 346 00:21:59,400 --> 00:22:04,680 Speaker 1: up receiving six of each of those items. Also, Sonas 347 00:22:04,800 --> 00:22:08,480 Speaker 1: charged people for the extra stuff it's sent. So this 348 00:22:08,640 --> 00:22:11,160 Speaker 1: isn't a case of so no Nos makes an error 349 00:22:11,200 --> 00:22:13,600 Speaker 1: in your favor or anything like that. That's not like 350 00:22:13,920 --> 00:22:18,000 Speaker 1: Sonas made uh an accidental mistake and as a result 351 00:22:18,960 --> 00:22:23,040 Speaker 1: charged you for one stereo system but sent you six. No, 352 00:22:23,160 --> 00:22:26,720 Speaker 1: it's more like it charged you for all six of those. 353 00:22:27,000 --> 00:22:30,800 Speaker 1: The company said that the system update it recently had 354 00:22:30,840 --> 00:22:34,880 Speaker 1: on its internal systems accidentally caused quote some orders being 355 00:22:34,960 --> 00:22:39,480 Speaker 1: processed multiple times end quote. Sonas has said it will 356 00:22:39,560 --> 00:22:44,360 Speaker 1: refund customers their money, which I mean, of course sons 357 00:22:44,480 --> 00:22:47,720 Speaker 1: is going to refund customers their money. They have to 358 00:22:47,840 --> 00:22:51,160 Speaker 1: do that because otherwise they would be breaking a federal 359 00:22:51,280 --> 00:22:54,320 Speaker 1: law that says you cannot charge customers for products that 360 00:22:54,359 --> 00:22:58,320 Speaker 1: they didn't order. Now, according to the Verge, for that 361 00:22:58,400 --> 00:23:01,640 Speaker 1: poor soul who ended up with more than thirty boxes 362 00:23:01,680 --> 00:23:06,160 Speaker 1: of stuff. It gets more complicated because so Nos, according 363 00:23:06,200 --> 00:23:10,040 Speaker 1: to the customer who was not named, Sons, has said 364 00:23:10,080 --> 00:23:13,400 Speaker 1: it will not issue a refund until it receives all 365 00:23:13,600 --> 00:23:18,720 Speaker 1: of the products that it accidentally sent out, which come 366 00:23:18,760 --> 00:23:21,399 Speaker 1: on so NOS. I mean, I understand wanting to get 367 00:23:21,440 --> 00:23:25,840 Speaker 1: the product back because that is a real cost to 368 00:23:25,880 --> 00:23:29,679 Speaker 1: the company. But this was so nos Is mistake. It 369 00:23:29,760 --> 00:23:33,000 Speaker 1: was not the customer's mistake, and it sounds to me 370 00:23:33,400 --> 00:23:36,760 Speaker 1: like the burden of getting everything set right is falling 371 00:23:36,800 --> 00:23:40,320 Speaker 1: more on the victim of this rather than the company 372 00:23:40,359 --> 00:23:43,960 Speaker 1: that made the dumb mistake to begin with. So this 373 00:23:44,040 --> 00:23:48,000 Speaker 1: is me officially wagging my finger at you, Sons. I 374 00:23:48,040 --> 00:23:51,760 Speaker 1: don't know if you can hear it. It's good audio. Finally, 375 00:23:52,160 --> 00:23:55,720 Speaker 1: you might have seen some news reports saying that Chinese 376 00:23:55,720 --> 00:23:59,720 Speaker 1: scientists thought they had detected radio signals that may have 377 00:23:59,760 --> 00:24:04,800 Speaker 1: come from aliens using a telescope RAO telescope called fast 378 00:24:05,000 --> 00:24:10,119 Speaker 1: f A s T, and that initial report, which originally 379 00:24:10,119 --> 00:24:14,400 Speaker 1: published on state sponsored media in China, has subsequently been 380 00:24:14,480 --> 00:24:20,480 Speaker 1: removed from said media source, so it's no longer up there. Secondly, 381 00:24:20,640 --> 00:24:23,639 Speaker 1: before we start flipping out that we've picked up I 382 00:24:23,720 --> 00:24:27,600 Speaker 1: don't know, TV signals from Alpha Centauri or something. We 383 00:24:27,720 --> 00:24:32,600 Speaker 1: need to employ some critical thinking. Radio antenna often pick 384 00:24:32,680 --> 00:24:38,560 Speaker 1: up odd signals. Sometimes those radio signals are extraterrestrial in nature, 385 00:24:39,040 --> 00:24:42,479 Speaker 1: but by that I mean the radio signals originated somewhere 386 00:24:42,480 --> 00:24:44,760 Speaker 1: other than here on Earth. And there is a lot 387 00:24:44,800 --> 00:24:48,760 Speaker 1: of stuff out in space that generates radio waves. In fact, 388 00:24:48,760 --> 00:24:51,359 Speaker 1: that's why we have radio telescopes, is to you know, 389 00:24:51,640 --> 00:24:54,600 Speaker 1: measure those kind of things and learn more about our galaxy. 390 00:24:55,560 --> 00:24:58,240 Speaker 1: It's a natural phenomenon. In other words, it's not being 391 00:24:58,280 --> 00:25:05,080 Speaker 1: generated by an intelligent species out there. And several scientists 392 00:25:05,119 --> 00:25:08,040 Speaker 1: have already said that what this Chinese group most likely 393 00:25:08,080 --> 00:25:13,880 Speaker 1: detected was radio frequency interference or r f I, and 394 00:25:14,119 --> 00:25:19,320 Speaker 1: that was actually something the scientists themselves said was a possibility. 395 00:25:19,359 --> 00:25:21,280 Speaker 1: So our i f I is just that's just radio 396 00:25:21,320 --> 00:25:24,480 Speaker 1: frequency interference that comes from Earth. It's something that all 397 00:25:24,640 --> 00:25:27,840 Speaker 1: radio observatories have to take into account. That's why a 398 00:25:27,880 --> 00:25:30,560 Speaker 1: lot of radio observatories, most of them in fact, are 399 00:25:30,640 --> 00:25:35,440 Speaker 1: located in pretty remote areas where they're far enough out 400 00:25:35,920 --> 00:25:40,800 Speaker 1: from sources of radio frequencies that though that doesn't end up, 401 00:25:40,840 --> 00:25:44,240 Speaker 1: you know, interference isn't as big a concern. But that's 402 00:25:44,280 --> 00:25:49,680 Speaker 1: certainly something that does happen. And if we employ Acam's 403 00:25:49,800 --> 00:25:53,040 Speaker 1: razor here, which is where we say, if you've got 404 00:25:53,040 --> 00:25:56,399 Speaker 1: more than one potential explanation for something, it's best to 405 00:25:56,440 --> 00:26:00,000 Speaker 1: go with the simplest explanation or the one that requires 406 00:26:00,040 --> 00:26:04,119 Speaker 1: the fewest unproven assumptions. You know, if if you feel 407 00:26:04,200 --> 00:26:07,600 Speaker 1: a cool breeze in your house, you could think, well, 408 00:26:07,800 --> 00:26:10,000 Speaker 1: I might have a window open. You know, there could 409 00:26:10,000 --> 00:26:14,280 Speaker 1: be a draft here, or maybe it's a ghost. Well, drafts, 410 00:26:14,359 --> 00:26:17,520 Speaker 1: you know, that's something we know that exists. It really 411 00:26:17,560 --> 00:26:21,360 Speaker 1: does exist. We we are aware of it. Ghosts are 412 00:26:21,480 --> 00:26:24,919 Speaker 1: unproven to exist, So it makes way more sense to 413 00:26:24,960 --> 00:26:27,560 Speaker 1: assume that it is a draft, like maybe there's a 414 00:26:27,560 --> 00:26:29,600 Speaker 1: crack in the wall, or maybe there's a window or 415 00:26:29,680 --> 00:26:33,520 Speaker 1: door open or something. Then it makes sense to say, oh, 416 00:26:33,680 --> 00:26:37,640 Speaker 1: it's old Aunt Bertha and she has unfinished business here 417 00:26:37,640 --> 00:26:42,240 Speaker 1: on this plane. So if you detect strange radio signals 418 00:26:42,320 --> 00:26:45,800 Speaker 1: and your conclusion is that it could either be aliens 419 00:26:46,320 --> 00:26:49,919 Speaker 1: or it's radio interference, then r if I is the 420 00:26:50,000 --> 00:26:53,679 Speaker 1: simplest solution. We know rf I is a thing, we 421 00:26:53,800 --> 00:26:57,680 Speaker 1: encounter it all the time. It's far more likely that 422 00:26:57,760 --> 00:27:00,800 Speaker 1: we're picking up radio signals from here on Earth then 423 00:27:00,880 --> 00:27:04,520 Speaker 1: picking up some sort of radio signal of alien origin. 424 00:27:04,960 --> 00:27:08,440 Speaker 1: For us to conclude that the signal actually is alien, 425 00:27:08,960 --> 00:27:12,720 Speaker 1: we would need some sort of incredibly convincing proof, proof 426 00:27:12,800 --> 00:27:17,359 Speaker 1: that secured our confidence that it could not have originated 427 00:27:17,520 --> 00:27:22,920 Speaker 1: as our fi. You've probably heard the saying extraordinary claims 428 00:27:23,080 --> 00:27:27,800 Speaker 1: require extraordinary evidence. This is one of those cases. So 429 00:27:28,040 --> 00:27:32,080 Speaker 1: while I would love to say we picked up evidence 430 00:27:32,119 --> 00:27:36,560 Speaker 1: that there are alien intelligences out there that communicate via radio, 431 00:27:37,720 --> 00:27:40,359 Speaker 1: it's too too early to have said that. It is 432 00:27:40,640 --> 00:27:46,040 Speaker 1: uh an incredibly unlikely that that is what the Chinese 433 00:27:46,119 --> 00:27:49,960 Speaker 1: radio telescope picked up. So sad to burst that bubble 434 00:27:50,280 --> 00:27:52,480 Speaker 1: because I would. I would also love to find out 435 00:27:52,640 --> 00:27:54,919 Speaker 1: we're not alone out here. I don't think we are alone, 436 00:27:54,960 --> 00:27:57,800 Speaker 1: by the way. I just also happen to know. Space 437 00:27:57,920 --> 00:28:01,320 Speaker 1: is so large that the odd of us picking up 438 00:28:01,480 --> 00:28:06,160 Speaker 1: radio signals from another intelligent species are just incredibly low, 439 00:28:06,280 --> 00:28:08,840 Speaker 1: because if that intelligent species is on the other side 440 00:28:08,840 --> 00:28:11,680 Speaker 1: of the galaxy, it will take hundreds of years for 441 00:28:11,720 --> 00:28:14,440 Speaker 1: any signal to make its way over to a point 442 00:28:14,480 --> 00:28:17,480 Speaker 1: where we can detect it. So the odds are very 443 00:28:17,840 --> 00:28:23,280 Speaker 1: much low for that to happen. All right, that's it 444 00:28:23,560 --> 00:28:27,720 Speaker 1: for the tech News for Thursday, June two thousand twenty two. 445 00:28:27,800 --> 00:28:29,679 Speaker 1: If you have anything you would like to send me, 446 00:28:29,720 --> 00:28:32,719 Speaker 1: Maybe it's a suggestion for a future episode, maybe it's 447 00:28:32,800 --> 00:28:36,560 Speaker 1: commentary about aliens. Who knows. Then you can do that 448 00:28:36,640 --> 00:28:38,960 Speaker 1: in one of a couple of ways. One way is 449 00:28:39,000 --> 00:28:41,640 Speaker 1: to use the I Heart Radio app. It's free to download. 450 00:28:41,680 --> 00:28:43,880 Speaker 1: You can just go straight to the tech Stuff page 451 00:28:43,920 --> 00:28:46,760 Speaker 1: on the Heart radio app and there's a little microphone 452 00:28:46,960 --> 00:28:49,080 Speaker 1: icon there and if you if you use that, you 453 00:28:49,080 --> 00:28:52,840 Speaker 1: can leave a voice message up to thirty seconds in length, 454 00:28:53,440 --> 00:28:55,280 Speaker 1: and if you like, you can even let me know 455 00:28:55,320 --> 00:28:58,280 Speaker 1: if I can use that audio in an episode. I 456 00:28:58,600 --> 00:29:01,600 Speaker 1: prefer opt in to opt out, so just let me know. 457 00:29:02,040 --> 00:29:05,520 Speaker 1: Otherwise I will likely just use the audio to you know, 458 00:29:06,040 --> 00:29:08,720 Speaker 1: launch an episode or answer a question, but I won't 459 00:29:08,760 --> 00:29:11,680 Speaker 1: actually use the audio within an episode. The other way, 460 00:29:11,720 --> 00:29:14,640 Speaker 1: of course, is just to send me a message on Twitter. 461 00:29:14,840 --> 00:29:17,680 Speaker 1: The handle for the show is tech Stuff H s 462 00:29:17,920 --> 00:29:26,680 Speaker 1: W and I'll talk to you again really soon. Tech 463 00:29:26,720 --> 00:29:30,360 Speaker 1: Stuff is an I Heart Radio production. For more podcasts 464 00:29:30,360 --> 00:29:33,120 Speaker 1: from I Heart Radio, visit the I Heart Radio app, 465 00:29:33,240 --> 00:29:36,400 Speaker 1: Apple Podcasts, or wherever you listen to your favorite shows,