1 00:00:00,040 --> 00:00:03,199 Speaker 1: Fellow conspiracy realist. We, like the rest of the world, 2 00:00:03,279 --> 00:00:06,560 Speaker 1: have our eyes on the recent assassination attempt of former 3 00:00:06,720 --> 00:00:10,680 Speaker 1: US President Donald Trump on July thirteenth, twenty twenty four, 4 00:00:11,320 --> 00:00:15,200 Speaker 1: as we recorded this strange news program before that incident occurred. 5 00:00:15,400 --> 00:00:18,480 Speaker 1: We are releasing a special full episode on the event, 6 00:00:18,720 --> 00:00:21,640 Speaker 1: which will be published this week. Thank you for your time. 7 00:00:22,040 --> 00:00:23,680 Speaker 1: Be safe and stay tuned. 8 00:00:24,280 --> 00:00:28,760 Speaker 2: From UFOs to psychic powers and government conspiracies. History is 9 00:00:28,840 --> 00:00:33,159 Speaker 2: riddled with unexplained events. You can turn back now or 10 00:00:33,240 --> 00:00:36,199 Speaker 2: learn this stuff they don't want you to know. A 11 00:00:36,280 --> 00:00:43,879 Speaker 2: production of iHeartRadio. 12 00:00:48,240 --> 00:00:51,600 Speaker 3: Hello, welcome back to the show. My name's Matt, my 13 00:00:51,760 --> 00:00:52,320 Speaker 3: name is Noel. 14 00:00:52,560 --> 00:00:53,520 Speaker 4: They call me Ben. 15 00:00:53,640 --> 00:00:56,920 Speaker 1: We're joined as always with our superproducer Alexis, code named 16 00:00:56,920 --> 00:01:01,040 Speaker 1: Doc Holliday Jackson. Most importantly, you are You are here. 17 00:01:01,360 --> 00:01:05,000 Speaker 1: That makes this the stuff they don't want you to know. 18 00:01:05,400 --> 00:01:09,679 Speaker 1: It is almost birthday season here at how Here it's 19 00:01:09,680 --> 00:01:11,400 Speaker 1: stuff they'll want you to know. As we heard all 20 00:01:11,400 --> 00:01:15,240 Speaker 1: headlong toward August and the news isn't stopping. Taco Bell 21 00:01:15,400 --> 00:01:18,960 Speaker 1: has a retirement home. Just off air. We're talking about 22 00:01:18,959 --> 00:01:22,679 Speaker 1: some big changes in Greece, and a lot of people 23 00:01:22,720 --> 00:01:25,840 Speaker 1: are smuggling animals in their pants. That's hot again now. 24 00:01:25,680 --> 00:01:28,600 Speaker 4: And they're apparently also happy to see us. Yeah. 25 00:01:28,640 --> 00:01:31,000 Speaker 1: Well, there's one great case with a guy named Matt 26 00:01:31,080 --> 00:01:34,080 Speaker 1: Pancake real name, stop it, real name. You can see 27 00:01:34,160 --> 00:01:39,200 Speaker 1: him on YouTube getting caught in a leopard onesie asleep 28 00:01:39,240 --> 00:01:41,800 Speaker 1: on a bench after he broke into a pet store 29 00:01:42,200 --> 00:01:44,600 Speaker 1: and tried to smuggle a bunch of hamsters out in 30 00:01:44,720 --> 00:01:48,760 Speaker 1: his onesies for sex stuff a. 31 00:01:50,040 --> 00:01:53,320 Speaker 5: You know what, I'm wondering if it was it could 32 00:01:53,320 --> 00:01:54,240 Speaker 5: have been floated out there. 33 00:01:54,240 --> 00:01:57,160 Speaker 1: You tell us, folks, maybe there is an entirely wholesome, 34 00:01:57,920 --> 00:02:00,440 Speaker 1: indeed noble reason that you would need to put on 35 00:02:00,520 --> 00:02:03,040 Speaker 1: an animal ones and throw a bunch of hamsters. 36 00:02:03,040 --> 00:02:05,440 Speaker 5: And maybe he just really identifies with the animal kingdom 37 00:02:05,440 --> 00:02:07,280 Speaker 5: and he was trying to liberate his people. 38 00:02:07,480 --> 00:02:07,720 Speaker 4: You know. 39 00:02:08,160 --> 00:02:10,840 Speaker 5: But I will say, we were watching the video that 40 00:02:10,880 --> 00:02:14,079 Speaker 5: you've found Ben on that topic with Alexis code named 41 00:02:14,080 --> 00:02:16,960 Speaker 5: Doc Holliday, and Alexis pointed out that the police were 42 00:02:17,000 --> 00:02:19,720 Speaker 5: being quite fast and loose and rough with this fellow 43 00:02:20,000 --> 00:02:24,480 Speaker 5: without thinking anything about the imperiled lives of the hamsters 44 00:02:24,720 --> 00:02:25,600 Speaker 5: contained with him. 45 00:02:25,639 --> 00:02:27,239 Speaker 4: That leopard onesie. 46 00:02:26,919 --> 00:02:30,040 Speaker 1: Assumptions are dangerous and doc. Yes, agreed, you made an 47 00:02:30,160 --> 00:02:32,799 Speaker 1: excellent point. Also, shout out to the guy who got 48 00:02:32,800 --> 00:02:36,359 Speaker 1: caught with a hundred live serpents in his pants when 49 00:02:36,360 --> 00:02:39,600 Speaker 1: he conspired to smuggle them out of Hong Kong. There's 50 00:02:39,600 --> 00:02:43,160 Speaker 1: some great pictures there are. 51 00:02:43,040 --> 00:02:45,359 Speaker 3: We talking babies, we're talking quote. 52 00:02:45,400 --> 00:02:48,080 Speaker 1: If you go to the Guardian you will see that 53 00:02:49,480 --> 00:02:52,880 Speaker 1: the way the way the authorities describe it. When he 54 00:02:53,000 --> 00:02:55,320 Speaker 1: was caught trying to smuggle these from Hong Kong into 55 00:02:55,400 --> 00:03:00,400 Speaker 1: Shenzhen was upon inspection, customs officers discovered that the pockets 56 00:03:00,400 --> 00:03:03,280 Speaker 1: of the trousers the passenger was wearing we're packed with 57 00:03:03,320 --> 00:03:07,000 Speaker 1: six canvas drawstring bags and sealed with tape. Once opened, 58 00:03:07,040 --> 00:03:09,960 Speaker 1: each bag was found to contain living snakes in all 59 00:03:10,040 --> 00:03:12,679 Speaker 1: kinds of shapes, sizes and colors. 60 00:03:13,000 --> 00:03:18,320 Speaker 4: Wow. True coalition of certitudes. 61 00:03:17,840 --> 00:03:25,680 Speaker 5: Of that should be political slogan, Our coalition of the 62 00:03:25,840 --> 00:03:30,240 Speaker 5: unwilling you already have right, Yeah, basically Jesus. 63 00:03:36,400 --> 00:03:38,680 Speaker 1: So, before we move into the news, do you guys 64 00:03:38,720 --> 00:03:42,080 Speaker 1: want to talk a little bit about Greece's bold new 65 00:03:42,200 --> 00:03:43,119 Speaker 1: six day work week. 66 00:03:43,520 --> 00:03:46,880 Speaker 3: Sure, it feels like a weird move in the midst 67 00:03:46,920 --> 00:03:49,920 Speaker 3: of you know, a lot of new work from home 68 00:03:50,080 --> 00:03:53,680 Speaker 3: things new, Uh, get the job done. Get it done right, 69 00:03:53,760 --> 00:03:56,480 Speaker 3: But we as a company aren't going to tell you, 70 00:03:56,480 --> 00:03:58,280 Speaker 3: you know, how many hours you got to put in. 71 00:03:58,440 --> 00:04:00,520 Speaker 3: Just make sure you're doing what we're paying you to do. 72 00:04:00,880 --> 00:04:03,720 Speaker 5: And just a lot of chatter, and I mean understandably 73 00:04:03,720 --> 00:04:06,920 Speaker 5: and rightfully so, around workers' rights and the idea of 74 00:04:06,960 --> 00:04:10,480 Speaker 5: a separation between work life balance and all of that stuff. 75 00:04:10,480 --> 00:04:13,000 Speaker 5: It does seem like an odd pr move at the 76 00:04:13,120 --> 00:04:16,240 Speaker 5: very least. And I was questioning, like, is this because 77 00:04:16,240 --> 00:04:18,520 Speaker 5: their economies in trouble, and Matt you pointed out it's 78 00:04:18,600 --> 00:04:20,000 Speaker 5: quite the contrary. 79 00:04:19,520 --> 00:04:23,080 Speaker 3: Right, well, at least according to the Prime Minister, right, 80 00:04:23,200 --> 00:04:27,480 Speaker 3: who is kind of repping the move, saying, yeah, this 81 00:04:27,560 --> 00:04:31,040 Speaker 3: is a good idea, guys, this initiative was necessary, the 82 00:04:31,080 --> 00:04:35,120 Speaker 3: Prime Minister says, because quote the twin perils of a 83 00:04:35,160 --> 00:04:40,359 Speaker 3: shrinking population and a shortage of skilled workers. So the 84 00:04:40,480 --> 00:04:43,200 Speaker 3: thought here is instead of having a forty hour work 85 00:04:43,200 --> 00:04:45,919 Speaker 3: week as a standard for many workers, you would have 86 00:04:45,960 --> 00:04:49,960 Speaker 3: a forty eight hour work week. But well, if there 87 00:04:49,960 --> 00:04:52,159 Speaker 3: are a bunch of other things they're saying, they're also 88 00:04:52,279 --> 00:04:55,560 Speaker 3: saying a lot of workers at least in Greece, and 89 00:04:56,360 --> 00:04:58,719 Speaker 3: one of the reasons this was done is because they're 90 00:04:58,760 --> 00:05:02,440 Speaker 3: working overtime hours and not getting paid. They're not being 91 00:05:02,480 --> 00:05:06,800 Speaker 3: compensated correctly for those overtime hours. They're working as a necessity. 92 00:05:07,000 --> 00:05:09,839 Speaker 4: So this is putting the workers first, is the arlement. 93 00:05:10,480 --> 00:05:16,359 Speaker 1: That's look, Greece already has an historically, it has the 94 00:05:16,400 --> 00:05:20,000 Speaker 1: longest average work week of the entirety of the European Union. 95 00:05:20,080 --> 00:05:23,800 Speaker 1: So it's kind of codifying what is already happening and 96 00:05:23,839 --> 00:05:26,560 Speaker 1: making sure that people get that overtime pay. And if 97 00:05:26,560 --> 00:05:29,720 Speaker 1: you work in a job where you do have to 98 00:05:29,839 --> 00:05:31,760 Speaker 1: you have an assigned number of hours and you do 99 00:05:31,880 --> 00:05:34,479 Speaker 1: have to go over that, you know that overtime is 100 00:05:35,320 --> 00:05:39,360 Speaker 1: a huge deal. So on paper, in theory, this is 101 00:05:39,760 --> 00:05:42,599 Speaker 1: not a conspiratorial thing. It's the right move. But I 102 00:05:42,640 --> 00:05:47,360 Speaker 1: will add that for many, many years, Greece has had 103 00:05:47,400 --> 00:05:50,400 Speaker 1: this sort of cultural understanding that a lot of people 104 00:05:50,440 --> 00:05:53,839 Speaker 1: don't pay taxes or report things specifically, and there's still 105 00:05:53,839 --> 00:05:56,159 Speaker 1: a big cash economy there. So it's going to be 106 00:05:56,279 --> 00:06:00,599 Speaker 1: very interesting to see how this works, especially with the 107 00:06:00,839 --> 00:06:05,120 Speaker 1: global contrast to so many other entities, state level or 108 00:06:05,160 --> 00:06:09,000 Speaker 1: private industry who are dialing back their work week, you know, 109 00:06:09,120 --> 00:06:11,679 Speaker 1: famously trying things like a four day work week. 110 00:06:12,000 --> 00:06:13,919 Speaker 3: It's so weird to me because it does it feels 111 00:06:14,000 --> 00:06:15,960 Speaker 3: like an opposite move of what they're saying it is 112 00:06:16,360 --> 00:06:19,640 Speaker 3: because apparently it's only going to apply to private businesses 113 00:06:20,000 --> 00:06:25,160 Speaker 3: that provide quote, round the clock services, So that's not 114 00:06:25,240 --> 00:06:29,440 Speaker 3: like your service industry, hospitality, that kind of stuff. Necessarily, 115 00:06:29,520 --> 00:06:33,160 Speaker 3: that's not round the clock services. And it feels as 116 00:06:33,200 --> 00:06:36,200 Speaker 3: though if there are these companies that if let's say 117 00:06:36,200 --> 00:06:38,640 Speaker 3: you've got an individual worker who works forty hours a week, 118 00:06:38,720 --> 00:06:40,880 Speaker 3: then if you need that person to work another eight hours, 119 00:06:40,880 --> 00:06:43,279 Speaker 3: you're going to pay them time and a half. Now 120 00:06:43,600 --> 00:06:47,200 Speaker 3: the company only has to pay them time right for 121 00:06:47,440 --> 00:06:51,080 Speaker 3: your standard, your standard going wage. So in the end 122 00:06:51,160 --> 00:06:55,400 Speaker 3: it's saving companies money, right, but it's making the workers 123 00:06:55,440 --> 00:06:57,599 Speaker 3: work more probably what they were going to work with 124 00:06:57,640 --> 00:07:00,600 Speaker 3: over time anyway, but now they're going to get paid less. 125 00:07:00,920 --> 00:07:01,200 Speaker 4: Well. 126 00:07:01,360 --> 00:07:05,320 Speaker 1: Also, yeah, wherever you live, I would be very skeptical 127 00:07:05,480 --> 00:07:08,680 Speaker 1: when you hear a politician describe something as growth oriented, 128 00:07:09,400 --> 00:07:12,720 Speaker 1: because the economy is not necessarily the people. But also 129 00:07:12,880 --> 00:07:16,320 Speaker 1: I didn't know this. In twenty twenty two, the average 130 00:07:16,320 --> 00:07:21,200 Speaker 1: Greek employee across industry worked one thousand, eight hundred and 131 00:07:21,280 --> 00:07:25,320 Speaker 1: eighty six hours per year. That's higher than the US average, 132 00:07:25,400 --> 00:07:28,080 Speaker 1: which is one eight hundred and eleven. And the US 133 00:07:28,200 --> 00:07:31,720 Speaker 1: already has a reputation of people being overworked, you know, 134 00:07:31,760 --> 00:07:35,720 Speaker 1: and not getting some basic benefits like PTO or vacation. 135 00:07:36,080 --> 00:07:38,960 Speaker 3: Oh yeah, no, absolutely, guys. There's an added thing here 136 00:07:39,000 --> 00:07:41,120 Speaker 3: that I didn't realize, and I think I already misspoke 137 00:07:41,200 --> 00:07:43,480 Speaker 3: because of this new information I'm getting from the Guardian. 138 00:07:44,760 --> 00:07:47,520 Speaker 3: It says under the extended working week, staff and select 139 00:07:47,560 --> 00:07:50,600 Speaker 3: industries and manufacturing facilities will have the option of working 140 00:07:50,640 --> 00:07:53,720 Speaker 3: in additional two hours per day, right, So that would 141 00:07:53,720 --> 00:07:58,560 Speaker 3: add up or an extra eight hour shift, and they 142 00:07:58,600 --> 00:08:01,480 Speaker 3: would be rewarded during that time period with a top 143 00:08:01,600 --> 00:08:04,600 Speaker 3: up fee of forty added to the daily wage. So 144 00:08:04,640 --> 00:08:07,600 Speaker 3: they are still making over time overtime. Yes, it's great, 145 00:08:07,720 --> 00:08:10,440 Speaker 3: you're right there. They are just kind of codifying it 146 00:08:10,640 --> 00:08:12,920 Speaker 3: in the way business functions now. 147 00:08:13,160 --> 00:08:15,800 Speaker 1: And if you're if you're a Greek national, or if 148 00:08:15,800 --> 00:08:18,880 Speaker 1: you reside in Greece, let us know what the vibe 149 00:08:18,960 --> 00:08:21,280 Speaker 1: is on the ground, let us know the lay of 150 00:08:21,320 --> 00:08:25,600 Speaker 1: the land, and perhaps most importantly, please assure us that 151 00:08:25,640 --> 00:08:28,520 Speaker 1: we can still have access to euros. That's not a 152 00:08:28,680 --> 00:08:30,320 Speaker 1: washed joke and whatsoever. 153 00:08:31,000 --> 00:08:33,600 Speaker 4: Yeah, I love a euro knocking on. 154 00:08:37,440 --> 00:08:39,839 Speaker 5: Every year when it comes around to get that euro. 155 00:08:39,920 --> 00:08:41,960 Speaker 5: I think euros should be for all year round. 156 00:08:41,960 --> 00:08:44,640 Speaker 4: And then, of course not the only thing in cuisine 157 00:08:44,640 --> 00:08:47,360 Speaker 4: that Greece is known and for. They have the plethora 158 00:08:47,440 --> 00:08:51,439 Speaker 4: of incredible offerings. But it is a delightful sandwich. 159 00:08:51,880 --> 00:08:56,080 Speaker 1: The civilization, this civilization, let's not get into a couple 160 00:08:56,080 --> 00:08:58,720 Speaker 1: of things, a couple other things in addition to the Euro. 161 00:08:58,880 --> 00:09:01,920 Speaker 1: So we'll give them their flowers there. And no matter 162 00:09:02,120 --> 00:09:05,280 Speaker 1: where you live, this is one of our first big stories. 163 00:09:05,320 --> 00:09:07,640 Speaker 1: No matter where you live in this wide world, no 164 00:09:07,720 --> 00:09:12,440 Speaker 1: matter what you do for fun or for work, you 165 00:09:12,679 --> 00:09:16,640 Speaker 1: need to check your passwords right now, Alexis, can we 166 00:09:16,679 --> 00:09:19,960 Speaker 1: get like a weird breaking news faith perfect? 167 00:09:20,080 --> 00:09:21,520 Speaker 4: Yes, all right, let's. 168 00:09:21,360 --> 00:09:25,720 Speaker 1: Go to cyber news and rock You twenty twenty four 169 00:09:25,880 --> 00:09:32,120 Speaker 1: all one word. Cyber news researchers recently discovered the largest 170 00:09:32,440 --> 00:09:38,480 Speaker 1: password hack in known history. We're talking ten billion different 171 00:09:38,600 --> 00:09:42,319 Speaker 1: passwords and it came through a file called Rocky two 172 00:09:42,480 --> 00:09:46,160 Speaker 1: zero two four dot txt text file and was posted 173 00:09:46,720 --> 00:09:53,520 Speaker 1: by a someone calling themselves Obamacare on July fourth. This 174 00:09:54,040 --> 00:09:58,360 Speaker 1: this person has this entity or this representative of this 175 00:09:58,440 --> 00:10:05,319 Speaker 1: group has already shared employee databases from law firms, leaks 176 00:10:05,320 --> 00:10:11,360 Speaker 1: from online casinos, even student applications for colleges. Like, whatever 177 00:10:11,400 --> 00:10:15,040 Speaker 1: they're doing, they're they're doing very well. And we were 178 00:10:15,040 --> 00:10:18,240 Speaker 1: talking about this in a text thread we use sometimes 179 00:10:18,320 --> 00:10:21,120 Speaker 1: we're not recording. We're also talking about it a little 180 00:10:21,160 --> 00:10:24,920 Speaker 1: bit off air. But Noel, you in particular clock something 181 00:10:25,160 --> 00:10:27,760 Speaker 1: that Doc. I think we both noticed too, and maybe 182 00:10:27,760 --> 00:10:30,400 Speaker 1: you as well met that there has been an escalation 183 00:10:30,800 --> 00:10:35,800 Speaker 1: of scam attempts, phishing attempts, phone calls. I've got I've 184 00:10:35,840 --> 00:10:38,200 Speaker 1: got one story, not to make a personal story, but 185 00:10:38,280 --> 00:10:41,680 Speaker 1: this is something that involves us. We may have mentioned it, 186 00:10:41,679 --> 00:10:44,800 Speaker 1: but we haven't done it on the air. Our pattern 187 00:10:44,840 --> 00:10:48,920 Speaker 1: familias of how stuff works. Absolute brilliant guy named Marshall Brain. 188 00:10:49,360 --> 00:10:53,720 Speaker 1: Yes that's his real name, He's mister Brain. A while back, 189 00:10:54,200 --> 00:11:00,960 Speaker 1: right around not two too long ago, received the text 190 00:11:00,960 --> 00:11:05,160 Speaker 1: message from someone identified themselves as Marshall Brain, mentioning me 191 00:11:05,640 --> 00:11:07,800 Speaker 1: by name or by the name I use here and 192 00:11:07,960 --> 00:11:10,720 Speaker 1: asking me for stuff. And so, Matt, you'll recall I 193 00:11:10,840 --> 00:11:13,800 Speaker 1: texted you saying recognize the number. And I think we 194 00:11:13,880 --> 00:11:16,439 Speaker 1: both kind of got cracking real quick on the weekend 195 00:11:16,520 --> 00:11:18,640 Speaker 1: right to figure out if this is the real brain. 196 00:11:18,920 --> 00:11:22,559 Speaker 3: Oh yeah, I texted him, uh and I called him, 197 00:11:22,640 --> 00:11:26,360 Speaker 3: left a voicemail and uh, yes, I guess it was him. 198 00:11:26,440 --> 00:11:28,720 Speaker 3: I don't know. He didn't mention that in particular, but 199 00:11:29,440 --> 00:11:30,880 Speaker 3: the same number is his. 200 00:11:31,480 --> 00:11:34,600 Speaker 1: I emailed him because the text I got was from 201 00:11:34,679 --> 00:11:37,400 Speaker 1: a different number than the one that we have for him. 202 00:11:37,640 --> 00:11:39,199 Speaker 1: And then he wrote, ball, I have to send you 203 00:11:39,240 --> 00:11:42,439 Speaker 1: guys the email to He wrote back a very nice email, 204 00:11:42,920 --> 00:11:45,200 Speaker 1: gave us all the shout out. Confirmed it wasn't him, 205 00:11:45,480 --> 00:11:47,959 Speaker 1: But it was odd the specificity. 206 00:11:48,240 --> 00:11:49,000 Speaker 3: Oh it wasn't that. 207 00:11:49,040 --> 00:11:52,520 Speaker 4: Him, tipped. It was not him. Oh, it was not him. 208 00:11:52,559 --> 00:11:56,480 Speaker 1: It was someone who knew enough information to use these 209 00:11:56,480 --> 00:11:59,760 Speaker 1: two names together and to probably try to get something. 210 00:12:00,080 --> 00:12:03,600 Speaker 1: And that's just you know, that's just a microcosmic example, right, 211 00:12:03,720 --> 00:12:06,280 Speaker 1: Like I think we were saying off air, we've all 212 00:12:06,360 --> 00:12:10,880 Speaker 1: been receiving some kind of wackado glad handing attempts online. 213 00:12:10,559 --> 00:12:11,520 Speaker 4: Right mm hmm. 214 00:12:12,040 --> 00:12:15,000 Speaker 3: By the way, just really quickly, Marshall. Marshall reports that 215 00:12:15,160 --> 00:12:18,240 Speaker 3: he is quote here in his super secret fortress of solitude, 216 00:12:18,480 --> 00:12:20,440 Speaker 3: and his plans to save the world should come to 217 00:12:20,480 --> 00:12:21,679 Speaker 3: fruition any day now. 218 00:12:23,679 --> 00:12:27,319 Speaker 5: I was just saying, for my part, I have received 219 00:12:27,320 --> 00:12:31,240 Speaker 5: notifications through Apple through my iPhone a couple of times 220 00:12:31,280 --> 00:12:34,040 Speaker 5: over the last year or so that my data was 221 00:12:34,160 --> 00:12:37,520 Speaker 5: part of an identified breach and. 222 00:12:37,480 --> 00:12:38,760 Speaker 4: That I should change my passwords. 223 00:12:38,800 --> 00:12:40,280 Speaker 5: And I don't know if anyone else has noticed that 224 00:12:40,320 --> 00:12:43,080 Speaker 5: feature in the iPhone, but it is apparently a thing. 225 00:12:43,120 --> 00:12:45,679 Speaker 5: I guess they get wind of this stuff and they 226 00:12:45,720 --> 00:12:48,280 Speaker 5: send you these notifications or if it's like a setting 227 00:12:48,320 --> 00:12:48,719 Speaker 5: you have to. 228 00:12:48,679 --> 00:12:49,920 Speaker 4: Turn on or off. 229 00:12:49,960 --> 00:12:53,480 Speaker 5: But you know, I've certainly now been the best steward 230 00:12:53,520 --> 00:12:57,559 Speaker 5: of my passwords over the years. I have a couple 231 00:12:57,600 --> 00:12:59,880 Speaker 5: that I use, and I switched them around and changed 232 00:13:00,280 --> 00:13:02,840 Speaker 5: digits and add a few things on the end. But 233 00:13:02,880 --> 00:13:04,760 Speaker 5: at the end of the day, I ultimately will get 234 00:13:04,800 --> 00:13:06,640 Speaker 5: to a place where I've forgotten what I changed the 235 00:13:06,679 --> 00:13:08,400 Speaker 5: password to, and then I have to change it again, 236 00:13:09,080 --> 00:13:11,319 Speaker 5: and then if I'm not careful, I'll you know, rense 237 00:13:11,360 --> 00:13:14,120 Speaker 5: and repeat. But I have gotten more into using two 238 00:13:14,200 --> 00:13:17,920 Speaker 5: factor authentication, and a lot of times, you know, a 239 00:13:17,960 --> 00:13:20,280 Speaker 5: breacher or someone who's really trying to do you wrong 240 00:13:20,720 --> 00:13:23,520 Speaker 5: needs some other way. They can't just have your password, 241 00:13:23,600 --> 00:13:25,160 Speaker 5: They need access to your email. 242 00:13:25,480 --> 00:13:26,840 Speaker 4: If they're getting your banking stuff. 243 00:13:26,840 --> 00:13:28,800 Speaker 5: If you have two factor, then you'll get something via 244 00:13:28,800 --> 00:13:31,400 Speaker 5: email or via text. So it's not unless they control 245 00:13:31,440 --> 00:13:34,439 Speaker 5: all of those, you know, those accounts. Can they actually 246 00:13:34,840 --> 00:13:38,040 Speaker 5: really really really do you dirty? Not to say let 247 00:13:38,040 --> 00:13:40,839 Speaker 5: your guard down, don't worry, You're fine, but I would 248 00:13:40,840 --> 00:13:41,400 Speaker 5: say look. 249 00:13:41,280 --> 00:13:43,359 Speaker 4: Into any form of two factor authentication. 250 00:13:43,440 --> 00:13:46,240 Speaker 5: But what I was wondering is, like, do these because 251 00:13:46,240 --> 00:13:49,040 Speaker 5: I've seen just a massive uptick in this particular type 252 00:13:49,080 --> 00:13:51,440 Speaker 5: of scam call that I'd never heard before, where it's 253 00:13:51,520 --> 00:13:53,640 Speaker 5: like comes from all over the country, different numbers, and 254 00:13:53,640 --> 00:13:56,920 Speaker 5: it's saying that it's a loan company needing to confirm 255 00:13:57,040 --> 00:14:00,600 Speaker 5: some data for the loan that I applied for, and 256 00:14:00,760 --> 00:14:03,520 Speaker 5: it's happened multiple times, And at first I was freaked out, 257 00:14:03,559 --> 00:14:06,320 Speaker 5: like did somebody apply for a loan in my name? 258 00:14:06,720 --> 00:14:08,800 Speaker 4: But no, it turns out it's a pretty common scam. 259 00:14:09,360 --> 00:14:12,560 Speaker 5: And I just have to wonder if with these data leaks, 260 00:14:12,600 --> 00:14:16,480 Speaker 5: in addition to passwords, they must also be getting other information. 261 00:14:17,040 --> 00:14:20,080 Speaker 5: The phone numbers are probably attached to some of these 262 00:14:20,160 --> 00:14:22,920 Speaker 5: if you're you know, entering it for maybe political campaigns 263 00:14:22,960 --> 00:14:26,360 Speaker 5: or forgetting text notifications or whatever. And it's kind of 264 00:14:26,360 --> 00:14:29,360 Speaker 5: wonder how the folks that are capitalizing on these breaches 265 00:14:29,400 --> 00:14:33,320 Speaker 5: are using this information. And if this uptick and scams 266 00:14:33,400 --> 00:14:36,320 Speaker 5: you know via text message and phone calls has anything 267 00:14:36,480 --> 00:14:37,440 Speaker 5: to do with those. 268 00:14:37,840 --> 00:14:41,240 Speaker 1: You really don't need a ton of information. You need 269 00:14:41,320 --> 00:14:46,280 Speaker 1: a startlingly sparse set of data points to be able 270 00:14:46,280 --> 00:14:49,760 Speaker 1: to pull some financial shenanigans, to do things like credit stuffing, 271 00:14:50,200 --> 00:14:53,320 Speaker 1: or to do things like you know, opening opening certain 272 00:14:53,360 --> 00:14:57,800 Speaker 1: types of loans, or it's it's easier than it sounds 273 00:14:57,880 --> 00:15:01,480 Speaker 1: to compromise someone's identity. And going back to our story, 274 00:15:01,840 --> 00:15:04,280 Speaker 1: rock You twenty twenty four did not come out of 275 00:15:04,320 --> 00:15:07,360 Speaker 1: the blue. Please check out this story, folks. It comes 276 00:15:07,400 --> 00:15:09,600 Speaker 1: on the heels of things like the Rock You twenty 277 00:15:09,680 --> 00:15:14,240 Speaker 1: twenty one compilation. Before just a few days ago, Rock 278 00:15:14,280 --> 00:15:20,280 Speaker 1: You twenty twenty one was the largest single password breach 279 00:15:20,520 --> 00:15:23,600 Speaker 1: collection in history. So whoever is doing this is not 280 00:15:23,640 --> 00:15:28,119 Speaker 1: only keeping up with their previous iterations, but they're escalating. 281 00:15:28,400 --> 00:15:32,280 Speaker 1: They're getting better. And no matter how secure we may 282 00:15:32,360 --> 00:15:36,400 Speaker 1: feel we are, no matter how much security hygiene we practice, 283 00:15:36,560 --> 00:15:40,200 Speaker 1: now is the time to go in and change your passwords. 284 00:15:40,480 --> 00:15:42,640 Speaker 1: One thing that might be concerned that I don't see 285 00:15:42,680 --> 00:15:46,920 Speaker 1: a ton of confirmation or conversation about here, even in 286 00:15:46,960 --> 00:15:53,040 Speaker 1: some software forums, is the idea of compromising campaign databases, right, 287 00:15:53,080 --> 00:15:58,600 Speaker 1: because those calls escalate really quickly around election season, and 288 00:15:58,680 --> 00:16:02,040 Speaker 1: you know, election season here in the US is basically lobsterfest. 289 00:16:02,160 --> 00:16:05,960 Speaker 1: It never ends, it's always going on. So that is 290 00:16:06,040 --> 00:16:09,200 Speaker 1: to your point, that's a almost at a great resource. 291 00:16:09,480 --> 00:16:12,720 Speaker 1: That is a very powerful resource for bad faith actors 292 00:16:12,760 --> 00:16:15,640 Speaker 1: because they can scoop up some information about you, cross 293 00:16:15,680 --> 00:16:18,200 Speaker 1: ref to a couple of other databases, and then boom, 294 00:16:18,320 --> 00:16:21,000 Speaker 1: you get a very specific text that does seem like 295 00:16:21,040 --> 00:16:23,120 Speaker 1: it could be legit because they know your name, they 296 00:16:23,160 --> 00:16:24,960 Speaker 1: know where you live, they might have known some things 297 00:16:24,960 --> 00:16:28,320 Speaker 1: you were doing earlier. It's ethics aside. It's it's a 298 00:16:28,360 --> 00:16:32,880 Speaker 1: pretty brilliant operation. At this point. It can be a 299 00:16:32,880 --> 00:16:37,360 Speaker 1: little disturbing for people because all the advice you're getting 300 00:16:37,600 --> 00:16:41,160 Speaker 1: from the experts and from the armchair folks alike is 301 00:16:41,360 --> 00:16:46,600 Speaker 1: just turn on you know, MFA multi factor authentication, reset 302 00:16:46,840 --> 00:16:49,680 Speaker 1: all your passwords, you know, even if you think they 303 00:16:50,320 --> 00:16:54,120 Speaker 1: haven't been associated with this leak. But again, ten billion 304 00:16:54,560 --> 00:16:57,360 Speaker 1: more passwords than there are people on the planet, so 305 00:16:57,480 --> 00:17:00,200 Speaker 1: the odds of you getting hit are very much much 306 00:17:00,400 --> 00:17:03,080 Speaker 1: and zero yeah, it's just someone you know getting hit 307 00:17:03,240 --> 00:17:06,920 Speaker 1: or or I wouldn't even say hit compromised in this leak. 308 00:17:07,040 --> 00:17:11,119 Speaker 1: Are virtually certain it's probably one of us recording this 309 00:17:11,200 --> 00:17:13,959 Speaker 1: evening or one of us listening to the show tonight. 310 00:17:14,280 --> 00:17:17,920 Speaker 3: I got my LifeLock alerts specifically when this gut released. 311 00:17:18,240 --> 00:17:21,040 Speaker 4: Oh yeah, you still have the LifeLock mm hm. Back 312 00:17:21,040 --> 00:17:22,520 Speaker 4: around to the phone number thing too. 313 00:17:22,600 --> 00:17:25,240 Speaker 5: I've been using What's App for a while, which is 314 00:17:25,320 --> 00:17:27,960 Speaker 5: tied to a phone number, and I hadn't logged onto 315 00:17:28,000 --> 00:17:29,280 Speaker 5: it for a while. But then a friend of mine 316 00:17:29,320 --> 00:17:30,719 Speaker 5: was saying, like, oh, I'm kind of trying to move 317 00:17:30,760 --> 00:17:34,600 Speaker 5: all my text communications to WhatsApp because he uses an 318 00:17:34,600 --> 00:17:37,600 Speaker 5: Android and as we know, there's some weird exclusionary stuff 319 00:17:37,640 --> 00:17:41,080 Speaker 5: that involves, you know, the way Apple treats Android users, 320 00:17:41,080 --> 00:17:42,960 Speaker 5: and it really is kind of obnoxious. So I totally 321 00:17:42,960 --> 00:17:45,159 Speaker 5: get it, and I was fully game, and I went 322 00:17:45,240 --> 00:17:47,879 Speaker 5: to log into my WhatsApp and I got a notification 323 00:17:48,040 --> 00:17:52,760 Speaker 5: saying my account had been suspended due to suspicious activity. 324 00:17:53,080 --> 00:17:56,159 Speaker 5: But I hadn't used it in months and months and months, 325 00:17:56,200 --> 00:17:58,440 Speaker 5: and I very quickly just fill out a little form 326 00:17:58,440 --> 00:18:00,720 Speaker 5: and said, I don't know what this is about I 327 00:18:00,960 --> 00:18:03,600 Speaker 5: have no idea what could have happened. YadA, YadA, YadA, 328 00:18:03,600 --> 00:18:06,320 Speaker 5: and they reinstated it very quickly. But I know there 329 00:18:06,359 --> 00:18:08,800 Speaker 5: are lots of WhatsApp scams, and I have to believe 330 00:18:08,800 --> 00:18:12,280 Speaker 5: that somebody fished my account, use my phone number and 331 00:18:12,400 --> 00:18:14,800 Speaker 5: tried to use it to run some scams when I 332 00:18:14,880 --> 00:18:16,960 Speaker 5: wasn't logged in because it was a dormant account. 333 00:18:17,119 --> 00:18:21,160 Speaker 1: Yeah, dormant accounts. The empty parking spaces right are already 334 00:18:21,160 --> 00:18:24,040 Speaker 1: pretty cozy for bad faith actors. If you were one 335 00:18:24,040 --> 00:18:26,320 Speaker 1: of the many, many people who has a Facebook account 336 00:18:26,400 --> 00:18:29,520 Speaker 1: that you never bother to use, then you probably want 337 00:18:29,520 --> 00:18:32,920 Speaker 1: to check in on that bad boy too, because those 338 00:18:33,000 --> 00:18:35,919 Speaker 1: can very easily be spoofed. I mean, it happens with 339 00:18:36,320 --> 00:18:39,560 Speaker 1: what celebrities or public figures on Instagram all the time. 340 00:18:39,640 --> 00:18:43,840 Speaker 1: They get spoofed. It's a good thing to keep an 341 00:18:43,880 --> 00:18:47,359 Speaker 1: eye out for. And really the purpose of this story 342 00:18:47,359 --> 00:18:49,760 Speaker 1: it's too recent for us to have a ton of 343 00:18:49,880 --> 00:18:53,359 Speaker 1: fallout for this or to know what the actionable consequences 344 00:18:53,400 --> 00:18:56,919 Speaker 1: will be. But it's more a clarion call. You know, 345 00:18:57,440 --> 00:19:00,280 Speaker 1: it's a true it's a true thing, and it might 346 00:19:00,320 --> 00:19:04,679 Speaker 1: feel boring to change passwords, but it's way cooler to 347 00:19:04,760 --> 00:19:08,359 Speaker 1: be a bord for a moment than to have thousands 348 00:19:08,359 --> 00:19:09,600 Speaker 1: of dollars stolen from you. 349 00:19:09,880 --> 00:19:12,000 Speaker 5: And do you have a question though, like, it's at 350 00:19:12,040 --> 00:19:15,679 Speaker 5: a certain point if everyone in the world's passwords have 351 00:19:15,760 --> 00:19:20,480 Speaker 5: been leaked and literally like everyone is compromised, are there 352 00:19:20,520 --> 00:19:24,119 Speaker 5: no protections in place? Like if everyone's being scammed? Like, 353 00:19:24,320 --> 00:19:26,520 Speaker 5: isn't there is there like a ceiling for this stuff. 354 00:19:26,720 --> 00:19:30,600 Speaker 5: It just seems outrageous for it to be that huge, 355 00:19:30,720 --> 00:19:33,680 Speaker 5: that that maximalist of a leak, for it for you 356 00:19:33,760 --> 00:19:36,200 Speaker 5: to be able to target like everybody. But I guess 357 00:19:36,600 --> 00:19:38,520 Speaker 5: you know, once you get the information, then you weed 358 00:19:38,520 --> 00:19:40,679 Speaker 5: through it and figure out who's the most vulnerable and 359 00:19:40,720 --> 00:19:44,200 Speaker 5: who's like the weakest in the herd technologically speaking, right. 360 00:19:44,440 --> 00:19:46,760 Speaker 1: Right, or who is the most high value target? 361 00:19:47,080 --> 00:19:48,440 Speaker 4: So yeah, yeah, that's a good point. 362 00:19:48,800 --> 00:19:52,359 Speaker 1: So this this brings us to another thing is there's 363 00:19:52,359 --> 00:19:55,440 Speaker 1: a cricket industry game going on here too, because if 364 00:19:55,480 --> 00:19:58,199 Speaker 1: you are someone who wants to remove privacy from the 365 00:19:58,240 --> 00:20:02,479 Speaker 1: Internet or someone who wants to remove anonymity, this is 366 00:20:02,600 --> 00:20:05,639 Speaker 1: a great argument to do so, such that the ultimate 367 00:20:05,680 --> 00:20:09,640 Speaker 1: password in the scenario you're describing their noel would be 368 00:20:10,680 --> 00:20:17,199 Speaker 1: biometric data even onto retinal scans or fingerprints will work 369 00:20:17,240 --> 00:20:20,960 Speaker 1: anymore DNA stuff like that. It's enough to make you think, 370 00:20:21,000 --> 00:20:22,560 Speaker 1: and I know we've got to keep this one short. 371 00:20:22,600 --> 00:20:27,320 Speaker 1: It's enough to make you think maybe maybe society overall, 372 00:20:27,560 --> 00:20:31,040 Speaker 1: the way we're doing it is kind of overrated. Maybe 373 00:20:31,119 --> 00:20:35,160 Speaker 1: we should just retire to that new Taco Bell retirement home. 374 00:20:35,320 --> 00:20:39,040 Speaker 5: Can you tell me more about this mean? 375 00:20:39,720 --> 00:20:40,480 Speaker 4: What does this mean? 376 00:20:41,160 --> 00:20:43,520 Speaker 5: Is it like the Taco Bell cantina where they serve 377 00:20:43,560 --> 00:20:45,880 Speaker 5: margarita's but they also have like beds? 378 00:20:45,920 --> 00:20:47,680 Speaker 4: Like what is the Taco Bell retirement though? 379 00:20:47,840 --> 00:20:50,000 Speaker 3: Is it for people who are too far gone and 380 00:20:50,359 --> 00:20:52,480 Speaker 3: just enjoy Taco Bell for the rest of your life 381 00:20:52,480 --> 00:20:53,600 Speaker 3: while you got it kind of thing. 382 00:20:53,880 --> 00:20:56,720 Speaker 1: It's similar to uh so I was talking with the 383 00:20:56,840 --> 00:20:58,280 Speaker 1: Daily Zeyitegeist guys about this. 384 00:20:58,359 --> 00:20:59,159 Speaker 4: Well back, It's. 385 00:20:59,040 --> 00:21:03,199 Speaker 1: Similar to other come up branded retirement homes like the 386 00:21:03,240 --> 00:21:03,840 Speaker 1: Disney ones. 387 00:21:03,920 --> 00:21:04,680 Speaker 4: Really confusing. 388 00:21:05,040 --> 00:21:09,200 Speaker 1: But if you would like to call off the rat 389 00:21:09,320 --> 00:21:13,160 Speaker 1: race and live a life of case Ada fueled luxury, 390 00:21:13,400 --> 00:21:16,920 Speaker 1: then look no further than that cantinas, where, according to 391 00:21:16,960 --> 00:21:20,160 Speaker 1: Taco Bell, everyone can live like a retiree. As comes 392 00:21:20,200 --> 00:21:23,439 Speaker 1: from Fox eleven out of La Shout Out to you guys. 393 00:21:23,840 --> 00:21:27,040 Speaker 1: They say, this is a quote luxurious experience that will 394 00:21:27,080 --> 00:21:32,480 Speaker 1: offer senior inspired recreation and cross generational activities. Early morning golf, 395 00:21:32,520 --> 00:21:38,960 Speaker 1: tea times, afternoon aerobics, pickleball matches, and it's let's see, 396 00:21:39,359 --> 00:21:43,560 Speaker 1: it is reserved for Taco Bell Rewards members. So you 397 00:21:43,640 --> 00:21:46,000 Speaker 1: got you already have to be kind of Taco Bell premium, 398 00:21:46,080 --> 00:21:47,960 Speaker 1: you know, the one percent of Taco Bell. I don't 399 00:21:48,000 --> 00:21:50,160 Speaker 1: know how tough it is to join the Rewards club. 400 00:21:50,160 --> 00:21:50,400 Speaker 4: There. 401 00:21:51,359 --> 00:21:53,440 Speaker 1: You can get a day pass if you're not ready 402 00:21:53,440 --> 00:21:58,199 Speaker 1: to jump all the way in, and it starts in 403 00:21:58,440 --> 00:22:02,560 Speaker 1: just six days. They start selling access to the cantinas. 404 00:22:03,520 --> 00:22:06,919 Speaker 1: As we record now it's July tenth. So if you 405 00:22:07,080 --> 00:22:10,800 Speaker 1: are like millions of Americans I'm sure, just champion at 406 00:22:10,840 --> 00:22:14,440 Speaker 1: the bit to live your Taco Bell life, then get 407 00:22:14,440 --> 00:22:17,720 Speaker 1: thee to a Taco Bell on July sixteenth, or download 408 00:22:17,760 --> 00:22:19,880 Speaker 1: their app and just make sure you know you get 409 00:22:19,920 --> 00:22:23,720 Speaker 1: a good password. We're going to pause for a word 410 00:22:23,720 --> 00:22:33,000 Speaker 1: from our sponsors, and we'll be back with more strange news. 411 00:22:33,200 --> 00:22:35,240 Speaker 4: And we're back with more strange news. 412 00:22:36,000 --> 00:22:38,639 Speaker 5: Gonna do two sort of teching news stories out of 413 00:22:38,920 --> 00:22:43,119 Speaker 5: the Asian continent. One is sort of absurd, and one 414 00:22:43,240 --> 00:22:46,800 Speaker 5: is both absurd and a little bit sad and potentially 415 00:22:47,280 --> 00:22:50,960 Speaker 5: portentous of things to come when it comes to our 416 00:22:51,119 --> 00:22:54,960 Speaker 5: robot friends and potential overlords. But first, there was recently 417 00:22:55,000 --> 00:22:59,800 Speaker 5: a gubernatorial election in Tokyo. The results of that have 418 00:23:00,200 --> 00:23:08,760 Speaker 5: determined Eureko Kowiki one amidst a crazy cavalcade of opposition, 419 00:23:09,560 --> 00:23:12,600 Speaker 5: And that's sort of where the story comes from in Tokyo. Been, 420 00:23:12,640 --> 00:23:14,439 Speaker 5: I know that you've spent some time over there, and 421 00:23:14,440 --> 00:23:16,760 Speaker 5: you may have been there at some point during election season, 422 00:23:16,760 --> 00:23:19,480 Speaker 5: but a big part of the election cycle in Tokyo 423 00:23:19,520 --> 00:23:23,320 Speaker 5: are these like physical ad spaces that are sort of 424 00:23:23,359 --> 00:23:27,040 Speaker 5: temporarily put up during elections that are like little squares 425 00:23:27,119 --> 00:23:29,119 Speaker 5: that are kind of like these grids of squares. They 426 00:23:29,119 --> 00:23:31,480 Speaker 5: are billboards on the ground that are put up, and 427 00:23:31,520 --> 00:23:34,399 Speaker 5: you can rent these squares for something like one hundred 428 00:23:34,400 --> 00:23:36,320 Speaker 5: and twenty five dollars a day. 429 00:23:36,880 --> 00:23:39,400 Speaker 4: And because of this new sort of. 430 00:23:39,320 --> 00:23:44,439 Speaker 5: Conservative group that has been running aggressively in the city, 431 00:23:44,840 --> 00:23:47,280 Speaker 5: they apparently rented out a ton of these And I 432 00:23:47,280 --> 00:23:49,560 Speaker 5: don't know if they're just trying to create subterfuge or 433 00:23:49,600 --> 00:23:51,879 Speaker 5: create a situation where it's like a distraction or spoken 434 00:23:51,880 --> 00:23:54,919 Speaker 5: mirrors from the Real series candidates to kind of you know, 435 00:23:54,960 --> 00:23:57,439 Speaker 5: throw a wrench in the works, basically would rent them 436 00:23:57,440 --> 00:23:59,680 Speaker 5: out to anyone who would pay them for their pre 437 00:23:59,680 --> 00:24:04,359 Speaker 5: rent spaces, and that has resulted or had resulted in 438 00:24:04,520 --> 00:24:09,639 Speaker 5: some pretty wacky and outrageous little political ads, including ads 439 00:24:09,640 --> 00:24:14,239 Speaker 5: for like pornographic material sex shops. There was even an 440 00:24:14,320 --> 00:24:18,000 Speaker 5: AI mayor candidate, and this was of course a gobernatorial 441 00:24:18,080 --> 00:24:21,560 Speaker 5: race running on a platform of using artificial intelligence to 442 00:24:21,640 --> 00:24:22,440 Speaker 5: run the government. 443 00:24:23,400 --> 00:24:26,400 Speaker 4: A guy running on a golf platform. 444 00:24:25,920 --> 00:24:27,840 Speaker 5: Where he apparently a big part of and this is 445 00:24:27,840 --> 00:24:30,199 Speaker 5: also there are videos associated with these, not in the 446 00:24:30,200 --> 00:24:33,560 Speaker 5: squares but online, and in the little clip or in 447 00:24:33,600 --> 00:24:36,240 Speaker 5: the little square, he's kind of showing him practicing his 448 00:24:36,280 --> 00:24:42,280 Speaker 5: golf swing, and you know, pictures of pets, pictures of kickboxers, 449 00:24:42,320 --> 00:24:45,200 Speaker 5: you know, all kinds of you know, lurid poses. And 450 00:24:45,520 --> 00:24:48,959 Speaker 5: the thing is, in Japan, the law has been that 451 00:24:49,080 --> 00:24:51,679 Speaker 5: anybody running for office can pretty much say anything they 452 00:24:51,720 --> 00:24:55,359 Speaker 5: want as long as it's not inherently libelists or slanderous, 453 00:24:55,520 --> 00:24:59,080 Speaker 5: or as long as they're not supporting another candidate, which 454 00:24:59,119 --> 00:25:00,920 Speaker 5: is interesting, but I guess makes sense that we would 455 00:25:00,920 --> 00:25:03,440 Speaker 5: maybe like put it exactly like that over here, because 456 00:25:03,480 --> 00:25:05,600 Speaker 5: the implication you wouldn't really be running if you were 457 00:25:05,640 --> 00:25:08,959 Speaker 5: going to be supporting another candidate unless you lose, you know, 458 00:25:09,160 --> 00:25:12,600 Speaker 5: a potential bid for a nomination, then you, you know, 459 00:25:12,640 --> 00:25:15,520 Speaker 5: put your support behind a certain candidate, you endorse them 460 00:25:15,600 --> 00:25:20,080 Speaker 5: or whatever. But this new hiccup has been specifically caused 461 00:25:20,119 --> 00:25:24,000 Speaker 5: by this political party that has been renting out these 462 00:25:24,000 --> 00:25:28,240 Speaker 5: spaces kind of creating a bit of a bizarro kind 463 00:25:28,240 --> 00:25:31,520 Speaker 5: of show that a lot of citizens of Tokyo have 464 00:25:32,200 --> 00:25:36,879 Speaker 5: commented they find distasteful. It's a little bit embarrassing, you know, 465 00:25:36,920 --> 00:25:40,240 Speaker 5: it doesn't really cast their city in a particularly flattering light. 466 00:25:41,440 --> 00:25:43,399 Speaker 5: So I don't know if you guys have any thoughts 467 00:25:43,400 --> 00:25:45,760 Speaker 5: about that or as it relates to our political process 468 00:25:45,800 --> 00:25:46,280 Speaker 5: over here. 469 00:25:46,480 --> 00:25:48,960 Speaker 4: Is hit worse? Is it better? I mean, it. 470 00:25:48,920 --> 00:25:53,480 Speaker 5: Almost seems a little bit lighthearted and lower stakes than 471 00:25:53,520 --> 00:25:55,639 Speaker 5: what we're seeing over here in terms of some of 472 00:25:55,680 --> 00:25:57,480 Speaker 5: the gnarly kind of hate. 473 00:25:57,240 --> 00:26:00,639 Speaker 4: Filled, baiting kind of cam pains. 474 00:26:00,400 --> 00:26:02,440 Speaker 5: That we see in political ads, not to mention with 475 00:26:02,520 --> 00:26:07,200 Speaker 5: Citizens United and the ability of corporations to give unlimitedly, 476 00:26:07,480 --> 00:26:09,440 Speaker 5: you know, to these types of campaigns. 477 00:26:09,760 --> 00:26:10,720 Speaker 4: Yeah, I see what you're saying. 478 00:26:10,880 --> 00:26:16,919 Speaker 1: Yeah, the Shenanigans are kind of evenly distributed around the world, 479 00:26:17,160 --> 00:26:20,240 Speaker 1: for better or worse. And this is fascinating to me 480 00:26:20,359 --> 00:26:25,600 Speaker 1: because Tokyo has such a huge impact on the rest 481 00:26:25,640 --> 00:26:29,240 Speaker 1: of Japan right the world. Yeah, yeah, very much, and 482 00:26:29,240 --> 00:26:32,320 Speaker 1: culturally as well. And there are still, you know, they're 483 00:26:32,320 --> 00:26:38,600 Speaker 1: definitely far right forces in Japan. There are some active 484 00:26:38,640 --> 00:26:43,760 Speaker 1: extremists in Hokkaido. Okinawa is going through some turbulent times 485 00:26:43,840 --> 00:26:48,639 Speaker 1: right now because yet again US service members were committing 486 00:26:48,760 --> 00:26:53,600 Speaker 1: some pretty heinous sex crimes and assaults. This the idea 487 00:26:53,800 --> 00:26:57,400 Speaker 1: what you're saying, like the lightheartedness of this particular instance, 488 00:26:58,000 --> 00:27:02,040 Speaker 1: I would agree with that. It is if anything, it 489 00:27:02,200 --> 00:27:05,760 Speaker 1: is kind of embarrassing to the residents of Tokyo. And 490 00:27:05,800 --> 00:27:08,840 Speaker 1: you see those those quotes from various you know, person 491 00:27:08,880 --> 00:27:12,320 Speaker 1: on the street interviews with different media outlets. There was 492 00:27:12,359 --> 00:27:17,520 Speaker 1: one I saw in uh infox by my Yumi noteap 493 00:27:17,600 --> 00:27:20,920 Speaker 1: there was an office worker in Tokyo and just said, uh, 494 00:27:21,600 --> 00:27:26,200 Speaker 1: mainly message that they feel this is embarrassing when outsiders, 495 00:27:26,240 --> 00:27:29,960 Speaker 1: non Japanese visitors see what's happening and said quote, I 496 00:27:30,000 --> 00:27:33,199 Speaker 1: see many foreign visitors passed by these billboards and they 497 00:27:33,280 --> 00:27:35,600 Speaker 1: must wonder what's going on. As a voter, I think 498 00:27:35,600 --> 00:27:40,080 Speaker 1: it's outrageous and disrespectful to the other candidates we're seriously competing. 499 00:27:40,359 --> 00:27:42,159 Speaker 1: But you know, we get that in the UK, we 500 00:27:42,240 --> 00:27:44,359 Speaker 1: get that in the US. Somebody runs as like, quote 501 00:27:44,440 --> 00:27:47,960 Speaker 1: unquote a joke candidate. I love Buckethead. Remember Buckethead? 502 00:27:48,280 --> 00:27:51,200 Speaker 5: Of course, yeah, you can shred too. Are you talking 503 00:27:51,200 --> 00:27:52,800 Speaker 5: about the same guy? The bucket had the plays of 504 00:27:52,840 --> 00:27:58,760 Speaker 5: the guitar. Maybe I'm not just trying to replace slash 505 00:27:59,040 --> 00:28:01,600 Speaker 5: that's right, as in fact go by Buckehead as well. 506 00:28:01,640 --> 00:28:02,880 Speaker 4: I could see the confusion there. 507 00:28:03,320 --> 00:28:07,159 Speaker 5: But yeah, apparently this emerging Conservative Party is what the 508 00:28:07,200 --> 00:28:09,919 Speaker 5: AP describes them as. And I've dug a little deeper 509 00:28:10,119 --> 00:28:11,760 Speaker 5: and a lot of things that are, you know, in 510 00:28:11,840 --> 00:28:14,199 Speaker 5: Japanese and I haven't really I don't know exactly what 511 00:28:14,240 --> 00:28:16,760 Speaker 5: the name of the of the party is. But they 512 00:28:17,240 --> 00:28:22,200 Speaker 5: apparently were even encouraging folks who weren't candidates to rent 513 00:28:22,240 --> 00:28:24,239 Speaker 5: these spaces, and a lot of it ended up just 514 00:28:24,359 --> 00:28:28,639 Speaker 5: being like vying for attention. And the leader of this 515 00:28:28,880 --> 00:28:32,320 Speaker 5: Conservative Party, a guy with the name of Takashi Tachibana, 516 00:28:33,280 --> 00:28:34,560 Speaker 5: said we have to be whackyer. 517 00:28:34,640 --> 00:28:35,959 Speaker 4: We don't get media attention. 518 00:28:36,720 --> 00:28:40,480 Speaker 5: And the AP also spoke to a professor at Nihan 519 00:28:40,920 --> 00:28:44,880 Speaker 5: University by the name of Ryosuke Nishida, who is a 520 00:28:44,960 --> 00:28:48,240 Speaker 5: political experts and media specialist, and said the point is 521 00:28:48,280 --> 00:28:51,080 Speaker 5: to make it moral and outrageous actions. The reason why 522 00:28:51,120 --> 00:28:54,200 Speaker 5: some people find these performances amusing is because they think 523 00:28:54,200 --> 00:28:57,760 Speaker 5: their objections are not taken into consideration by politicians and 524 00:28:57,840 --> 00:29:01,520 Speaker 5: existing parties or reflected in their politics. And I did 525 00:29:01,520 --> 00:29:04,800 Speaker 5: see a YouTube video of an American. I believe he 526 00:29:04,840 --> 00:29:06,920 Speaker 5: didn't have an accent. He seemed like an American living 527 00:29:06,960 --> 00:29:08,640 Speaker 5: in Tokyo, seems to have been living there for. 528 00:29:08,520 --> 00:29:09,040 Speaker 4: A long time. 529 00:29:09,320 --> 00:29:12,080 Speaker 5: And he did point out that, you know, much like 530 00:29:12,160 --> 00:29:14,160 Speaker 5: over here in other parts of the world, there is 531 00:29:14,200 --> 00:29:19,560 Speaker 5: a perception of significant corruption in Japanese politics. So this 532 00:29:19,680 --> 00:29:22,800 Speaker 5: is almost the thumbing of the nose at the system 533 00:29:22,840 --> 00:29:25,680 Speaker 5: that many perceive as being broken. 534 00:29:26,160 --> 00:29:29,840 Speaker 3: Yeah, but just to be clear, these billboards are meant 535 00:29:29,960 --> 00:29:34,840 Speaker 3: to show the actual candidates they could vote for, that's right, 536 00:29:35,320 --> 00:29:40,760 Speaker 3: and they are being just changed in these weird ways, misused, misused, 537 00:29:40,960 --> 00:29:45,160 Speaker 3: But ultimately there is this the only way people learn 538 00:29:45,200 --> 00:29:48,400 Speaker 3: about candidates or is this just like traditionally. 539 00:29:47,840 --> 00:29:50,080 Speaker 5: It's a popular way and again, Ben, I would defer 540 00:29:50,120 --> 00:29:52,239 Speaker 5: to you with your time there. But it is a 541 00:29:52,240 --> 00:29:56,000 Speaker 5: cultural thing, these squares, these grids of squares that are 542 00:29:56,040 --> 00:29:58,480 Speaker 5: put up seasonally. It is something that people have come 543 00:29:58,480 --> 00:30:02,720 Speaker 5: to expect because I believe online campaigning wasn't even really 544 00:30:02,800 --> 00:30:06,800 Speaker 5: much of a thing until relatively recently because of some laws. 545 00:30:07,160 --> 00:30:10,840 Speaker 1: Yeah, Japan, as anybody who's been there or spend time 546 00:30:10,880 --> 00:30:14,400 Speaker 1: there knows, Japan is far far into the future in 547 00:30:14,440 --> 00:30:18,760 Speaker 1: some things like toilet technology and frankly food, but also 548 00:30:18,920 --> 00:30:23,920 Speaker 1: seems to weirdly lag behind in some innovations right like 549 00:30:24,000 --> 00:30:27,720 Speaker 1: fax machines are still very common, just because that is 550 00:30:27,800 --> 00:30:31,040 Speaker 1: the normalized, expected way to do things. And so to 551 00:30:31,080 --> 00:30:35,760 Speaker 1: the question about the paths of or the opportunities to 552 00:30:35,840 --> 00:30:38,600 Speaker 1: learn more about a candidate as a voter in Tokyo 553 00:30:38,840 --> 00:30:42,959 Speaker 1: or Japan, surely there are write in listeners let us 554 00:30:43,000 --> 00:30:47,400 Speaker 1: know conspiracy, iHeartRadio dot com. Surely there are people who 555 00:30:47,560 --> 00:30:51,600 Speaker 1: are maybe less tech savvy, or maybe they're older people, 556 00:30:51,760 --> 00:30:56,720 Speaker 1: and they've just associated this platform in particular as their 557 00:30:56,840 --> 00:31:00,600 Speaker 1: way to get a quick summation of the can you know, 558 00:31:00,640 --> 00:31:03,040 Speaker 1: And people just like over here typically are going to 559 00:31:03,280 --> 00:31:06,960 Speaker 1: vote with the party they already identified with in previous elections. 560 00:31:06,960 --> 00:31:10,240 Speaker 1: It's kind of rare for folks to break ranks due 561 00:31:10,280 --> 00:31:13,080 Speaker 1: to the tribalism, so I would say it's important there 562 00:31:13,120 --> 00:31:15,600 Speaker 1: are other ways to learn about it, right and with 563 00:31:15,920 --> 00:31:19,200 Speaker 1: you can just see how many candidates are in these 564 00:31:19,280 --> 00:31:23,080 Speaker 1: kind of races, so they're not just racing for public approval, 565 00:31:23,280 --> 00:31:26,480 Speaker 1: they're also fighting tooth and nail to get any sort 566 00:31:26,520 --> 00:31:29,360 Speaker 1: of media coverage, and past a certain point, it's like 567 00:31:29,400 --> 00:31:33,120 Speaker 1: the old Hollywood rule, does bad or good coverage matter? 568 00:31:33,200 --> 00:31:35,800 Speaker 1: That Matt much is the main thing just getting your 569 00:31:35,880 --> 00:31:36,880 Speaker 1: name and your face out there. 570 00:31:37,000 --> 00:31:38,200 Speaker 4: I think that's absolutely right. 571 00:31:38,240 --> 00:31:42,040 Speaker 5: And apparently like some of these entire billboards, of which 572 00:31:42,080 --> 00:31:44,800 Speaker 5: there are tens of thousands, by the way, throughout the 573 00:31:44,840 --> 00:31:49,160 Speaker 5: city of Tokyo, where they'll rent the same same square. 574 00:31:49,280 --> 00:31:50,840 Speaker 5: You know, it'll be the same ad in an entire 575 00:31:51,120 --> 00:31:54,160 Speaker 5: grid of by the way, forty eight squares in these. 576 00:31:54,200 --> 00:31:55,880 Speaker 5: And it's sort of like if you go to New York, 577 00:31:55,920 --> 00:31:59,760 Speaker 5: where there'll be walls around construction sites where it is 578 00:32:00,040 --> 00:32:02,680 Speaker 5: legal to post bills, and then there's the ones that 579 00:32:02,720 --> 00:32:04,840 Speaker 5: say post no bills. This is kind of like that, 580 00:32:04,960 --> 00:32:07,280 Speaker 5: like it's sort of built into the urban landscape. Of 581 00:32:07,360 --> 00:32:11,040 Speaker 5: the city, and apparently all of this is perfectly legal 582 00:32:11,280 --> 00:32:13,680 Speaker 5: because of that lag that Ben's talking about, which I 583 00:32:13,680 --> 00:32:16,600 Speaker 5: do find interesting. Japan does seem to be a play 584 00:32:16,640 --> 00:32:20,320 Speaker 5: a country of conundrums, of sort of you know, what's 585 00:32:20,360 --> 00:32:23,680 Speaker 5: the word I'm looking for, like contradictions, right like where 586 00:32:23,680 --> 00:32:25,720 Speaker 5: it's like, you know, yes, they are so ahead of 587 00:32:25,720 --> 00:32:28,240 Speaker 5: the curve on so many things, but there are some 588 00:32:28,320 --> 00:32:30,680 Speaker 5: things like this that just don't quite catch up to 589 00:32:30,720 --> 00:32:33,320 Speaker 5: the times, and there are people out there seemingly exploiting them. 590 00:32:33,480 --> 00:32:37,400 Speaker 1: And to be fair, you know, this country's not not 591 00:32:37,680 --> 00:32:41,240 Speaker 1: some kind of paragon of perfection, which is a redundant phrase. 592 00:32:41,440 --> 00:32:43,680 Speaker 1: Like everything we just said about Japan can in some 593 00:32:43,720 --> 00:32:46,760 Speaker 1: ways be applied to the US right very far ahead 594 00:32:46,800 --> 00:32:50,880 Speaker 1: in some things and cartoonishly behind in some others. And 595 00:32:50,920 --> 00:32:53,959 Speaker 1: it just depends on where you live and what gets normalized. 596 00:32:54,240 --> 00:32:57,080 Speaker 5: Well, speaking of what gets normalized, And I think we 597 00:32:57,080 --> 00:32:58,560 Speaker 5: can give this quick. I actually didn't think that this 598 00:32:58,560 --> 00:33:00,960 Speaker 5: one was going to generate quite as more much conversation 599 00:33:01,040 --> 00:33:02,440 Speaker 5: as it did, but I'm glad it did. 600 00:33:02,520 --> 00:33:04,560 Speaker 4: I think these were all really valid and interesting points. 601 00:33:04,960 --> 00:33:09,840 Speaker 5: Apparently, South Korea has for some time had the densest 602 00:33:10,120 --> 00:33:14,080 Speaker 5: robot population in the entire world, and. 603 00:33:14,000 --> 00:33:15,360 Speaker 4: That is something that I was unaware of. 604 00:33:16,440 --> 00:33:21,200 Speaker 5: You if you're lucky enough to be anywhere near Buford 605 00:33:21,280 --> 00:33:25,320 Speaker 5: Highway here in Atlanta, where there's some amazing cuisine and 606 00:33:25,360 --> 00:33:28,040 Speaker 5: some restaurants that you might not find in places other 607 00:33:28,080 --> 00:33:31,000 Speaker 5: than a Asia, you will notice that there are a 608 00:33:31,000 --> 00:33:34,360 Speaker 5: lot of spots that have these serving robots that will bring. 609 00:33:34,200 --> 00:33:36,360 Speaker 4: You your trays and bring you your drinks, etc. 610 00:33:36,680 --> 00:33:40,840 Speaker 5: There's like a pretty popular rotating, revolving sushi restaurant called 611 00:33:41,200 --> 00:33:44,280 Speaker 5: Kura I believe, and they have these little serving robots, 612 00:33:44,400 --> 00:33:46,080 Speaker 5: and they are starting to become a little more popular. 613 00:33:46,120 --> 00:33:48,240 Speaker 5: In cities like New York or Los Angeles, well you'll 614 00:33:48,240 --> 00:33:50,880 Speaker 5: be walking around and see like a food delivery robot. 615 00:33:50,920 --> 00:33:52,480 Speaker 5: But in South Korea they've been doing this for a 616 00:33:52,520 --> 00:33:56,400 Speaker 5: very long time. And that also applies apparently to civil service, 617 00:33:56,640 --> 00:33:59,640 Speaker 5: where there are robots that are helping with admin type 618 00:33:59,680 --> 00:34:03,880 Speaker 5: tasks and sort of interacting with office workers. And in 619 00:34:04,200 --> 00:34:08,960 Speaker 5: South Korea, in a place called Gome City, there has 620 00:34:09,040 --> 00:34:14,160 Speaker 5: been what is being reported as the first robot suicide. 621 00:34:15,200 --> 00:34:18,120 Speaker 5: And I have to just go ahead and caveat this upfront. 622 00:34:18,320 --> 00:34:21,319 Speaker 5: I really do think this is quite hyperbolic and in 623 00:34:21,360 --> 00:34:24,799 Speaker 5: many ways just sort of an entry into a conversation 624 00:34:25,280 --> 00:34:28,440 Speaker 5: about what it means to be human and what it 625 00:34:28,520 --> 00:34:32,240 Speaker 5: means to humanize robots, and what it means for artificial 626 00:34:32,320 --> 00:34:37,319 Speaker 5: intelligence to simulate human emotions, because you know, people get 627 00:34:37,360 --> 00:34:39,480 Speaker 5: bummed out, and isn't the idea of a robot that like, 628 00:34:39,560 --> 00:34:41,520 Speaker 5: they're like all the good things about humans, but they're 629 00:34:41,520 --> 00:34:43,879 Speaker 5: sort of impervious to some of the bad. But as 630 00:34:43,920 --> 00:34:47,239 Speaker 5: we know with like things like chatbots becoming racist when 631 00:34:47,239 --> 00:34:49,719 Speaker 5: you train them on the internet, they take all that 632 00:34:49,760 --> 00:34:53,040 Speaker 5: stuff into and there is a question as to whether 633 00:34:53,120 --> 00:34:57,000 Speaker 5: or not this robot was feeling overwhelmed and overworked like 634 00:34:57,080 --> 00:35:02,239 Speaker 5: many of the probably other folks was working alongside so 635 00:35:02,280 --> 00:35:08,200 Speaker 5: the robots worked for the Goomy City Council. Was found 636 00:35:08,360 --> 00:35:11,279 Speaker 5: at the foot of a two meter long staircase, where, 637 00:35:11,280 --> 00:35:14,840 Speaker 5: according to some reports, including one from tech report dot com, 638 00:35:15,000 --> 00:35:20,080 Speaker 5: it threw itself down. I did sorry, I think describing 639 00:35:20,400 --> 00:35:23,680 Speaker 5: the idea of a robot throwing itself dead so dramatic 640 00:35:24,000 --> 00:35:26,719 Speaker 5: and really click paity and like good for a headline, 641 00:35:26,760 --> 00:35:28,440 Speaker 5: but I don't know if I buy it. It was 642 00:35:28,520 --> 00:35:32,000 Speaker 5: known as the Robot Supervisor, worked normal shift hours like 643 00:35:32,040 --> 00:35:35,000 Speaker 5: everybody else, even had its own employee card and was 644 00:35:35,239 --> 00:35:39,360 Speaker 5: very accustomed or programmed, I guess, to operate the elevators. 645 00:35:39,600 --> 00:35:40,440 Speaker 4: And that's true. 646 00:35:40,719 --> 00:35:42,600 Speaker 5: I think we've all been traveling together and maybe seen 647 00:35:42,640 --> 00:35:46,040 Speaker 5: these in hotels occasionally where they do get off the elevator. 648 00:35:46,280 --> 00:35:48,560 Speaker 5: They use the elevator, they've got something where they can 649 00:35:48,640 --> 00:35:51,800 Speaker 5: either extend like an R two D two little finger 650 00:35:51,920 --> 00:35:54,600 Speaker 5: and poke the button or whatever. But they do get 651 00:35:54,640 --> 00:35:57,799 Speaker 5: on and on elevators. And according to this Tech Report 652 00:35:57,880 --> 00:36:01,759 Speaker 5: article by Chrishy Chowdry, the reason for the suicide is 653 00:36:01,800 --> 00:36:04,680 Speaker 5: not yet been determined, but the broken pieces have been 654 00:36:04,680 --> 00:36:05,560 Speaker 5: taken away. 655 00:36:05,480 --> 00:36:07,280 Speaker 4: In order to help determine the cause. 656 00:36:07,960 --> 00:36:11,040 Speaker 5: So it's weird though, because it's not exactly a crime scene, 657 00:36:11,760 --> 00:36:15,000 Speaker 5: I mean, but it does seem, you know, the anthropomorphization 658 00:36:15,560 --> 00:36:18,920 Speaker 5: of robots really comes into play, especially in the way 659 00:36:18,960 --> 00:36:22,760 Speaker 5: it's being described. And that's really the gist of it, guys. 660 00:36:22,800 --> 00:36:26,200 Speaker 5: It was manufactured by a company out of California called 661 00:36:26,320 --> 00:36:30,160 Speaker 5: Bear Robotics, and it began its work back in twenty 662 00:36:30,200 --> 00:36:35,360 Speaker 5: twenty three. And all this writing about the robot's suicide 663 00:36:35,480 --> 00:36:40,040 Speaker 5: I think is really overblown, borderline I responsible in some ways. 664 00:36:40,080 --> 00:36:40,480 Speaker 4: I don't know. 665 00:36:40,520 --> 00:36:43,440 Speaker 5: Maybe that's me being a little too alarmist about it, 666 00:36:43,440 --> 00:36:45,000 Speaker 5: but what do you guys think. I know we're near 667 00:36:45,040 --> 00:36:46,239 Speaker 5: in the end of the segment, but I just want 668 00:36:46,280 --> 00:36:47,839 Speaker 5: to quick I think this is worth a quick chat 669 00:36:47,880 --> 00:36:50,239 Speaker 5: and then maybe bring it back up for another episode, 670 00:36:50,239 --> 00:36:54,520 Speaker 5: maybe on robot servants, you know, or on the anthromorphization 671 00:36:54,680 --> 00:36:55,560 Speaker 5: of technology. 672 00:36:55,880 --> 00:36:57,279 Speaker 3: To me, it sounds like we need to get some 673 00:36:57,400 --> 00:36:59,920 Speaker 3: robot doors, kind of like doggy doors, you know, or 674 00:37:00,160 --> 00:37:02,600 Speaker 3: like the little fences that you'll put up on a staircase. 675 00:37:03,040 --> 00:37:06,799 Speaker 3: She install one of those, or a bunch of those, like. 676 00:37:06,680 --> 00:37:09,480 Speaker 5: Those those curve fences they put on bridges to keep 677 00:37:09,520 --> 00:37:11,040 Speaker 5: humans from throwing themselves off. 678 00:37:11,160 --> 00:37:15,160 Speaker 4: No, no, I'm joking. I know, I'm totally joking. 679 00:37:15,600 --> 00:37:20,040 Speaker 3: Look, I don't know anything about this manufacturer, this specific robot, 680 00:37:20,160 --> 00:37:21,960 Speaker 3: but it feels to me like it was some kind 681 00:37:22,000 --> 00:37:25,839 Speaker 3: of error, right it wastant spinning in a circle, then 682 00:37:26,080 --> 00:37:27,520 Speaker 3: went off the thing. 683 00:37:27,680 --> 00:37:31,120 Speaker 5: So the deepend Matt the deep end enough. 684 00:37:31,480 --> 00:37:33,560 Speaker 3: I just finished this game with my son called Stray 685 00:37:33,840 --> 00:37:37,880 Speaker 3: on PlayStation. This game about a cat in a city 686 00:37:37,880 --> 00:37:41,600 Speaker 3: full of robots, and it's very very cool. I would 687 00:37:41,600 --> 00:37:44,680 Speaker 3: recommend everybody plays it, but just this way we apply 688 00:37:45,000 --> 00:37:46,120 Speaker 3: our thinking. 689 00:37:45,840 --> 00:37:46,520 Speaker 4: To the robots. 690 00:37:46,560 --> 00:37:49,080 Speaker 3: I think that's you're right on that that's what's happening here. 691 00:37:49,320 --> 00:37:51,120 Speaker 4: Any last thoughts from you, Ben before we move on. 692 00:37:51,440 --> 00:37:56,239 Speaker 1: Yeah, but I'll save them for an episode with robot servants. 693 00:37:56,440 --> 00:37:59,520 Speaker 1: You know, like you said, they're quite prevalent in the 694 00:37:59,520 --> 00:38:03,640 Speaker 1: more develop parts of Asia. I've had some very weird 695 00:38:03,719 --> 00:38:06,239 Speaker 1: run ins, the kind of things that leave you a 696 00:38:06,360 --> 00:38:08,960 Speaker 1: little paranoid. But I'm sure everything's fine. 697 00:38:09,000 --> 00:38:11,719 Speaker 5: Probably so and again I joke that, you know, our 698 00:38:11,800 --> 00:38:16,120 Speaker 5: robot servants slash overlords. But it is the thing that 699 00:38:16,160 --> 00:38:18,759 Speaker 5: we're like trying to train these things to be as 700 00:38:18,880 --> 00:38:22,680 Speaker 5: human as possible without the inconvenient parts of being human. 701 00:38:23,239 --> 00:38:26,120 Speaker 5: A big conversation around AI is that there comes a 702 00:38:26,200 --> 00:38:28,880 Speaker 5: point where there's this this sort of I don't know, 703 00:38:28,920 --> 00:38:33,160 Speaker 5: critical mass point where you can't filter out the things 704 00:38:33,200 --> 00:38:36,240 Speaker 5: that you're you're training it with human stuff. It's gonna 705 00:38:36,239 --> 00:38:39,600 Speaker 5: get the human parts as well, and then eventually it 706 00:38:39,680 --> 00:38:42,880 Speaker 5: might just take over and start writing its code itself. 707 00:38:43,719 --> 00:38:44,200 Speaker 4: But I don't know. 708 00:38:44,440 --> 00:38:46,520 Speaker 5: I'm glad that you're into that idea, Ben, I think 709 00:38:46,520 --> 00:38:49,080 Speaker 5: that'll be really really cool to talk about big picture, 710 00:38:49,360 --> 00:38:53,120 Speaker 5: what does the future of robot assistance, AI assistance, all 711 00:38:53,120 --> 00:38:54,920 Speaker 5: of that stuff I think could be bundled into a 712 00:38:54,960 --> 00:38:56,120 Speaker 5: great episode. 713 00:38:56,640 --> 00:38:57,840 Speaker 4: Well, let's take a quick pause. 714 00:38:57,880 --> 00:39:00,960 Speaker 5: Here, here a word from our robot overlord, our sponsors, 715 00:39:01,120 --> 00:39:03,239 Speaker 5: and then we'll be right back with another piece of 716 00:39:03,280 --> 00:39:10,279 Speaker 5: strange news. 717 00:39:10,680 --> 00:39:16,480 Speaker 3: And we've returned. Guys, how much do we all love driving? 718 00:39:16,760 --> 00:39:18,640 Speaker 3: We're big driving enthusiasts, right. 719 00:39:19,160 --> 00:39:21,799 Speaker 5: Don't love it on the regular in traffic and just 720 00:39:21,800 --> 00:39:24,439 Speaker 5: for like functional and purposes. But out on an open 721 00:39:24,520 --> 00:39:27,960 Speaker 5: road type situation, I had rented kind of a souped up, cooler. 722 00:39:27,680 --> 00:39:29,840 Speaker 4: Car than I normally possess. That was awesome. 723 00:39:30,360 --> 00:39:33,040 Speaker 5: I live for that, but like, yeah, in Atlanta driving 724 00:39:33,120 --> 00:39:35,440 Speaker 5: kind of sucks because of you know, the traffic, and 725 00:39:35,480 --> 00:39:36,160 Speaker 5: a lot of it. 726 00:39:36,040 --> 00:39:37,640 Speaker 4: Isn't driving at all, it's just sitting there. 727 00:39:37,760 --> 00:39:41,040 Speaker 1: I love it for a number of personal reasons related to, 728 00:39:41,120 --> 00:39:42,880 Speaker 1: of course, one of the first shows I did with 729 00:39:42,920 --> 00:39:46,759 Speaker 1: this network car stuff, but also depending on the kind 730 00:39:46,840 --> 00:39:50,480 Speaker 1: of situations you're in, it's a it can be a 731 00:39:50,520 --> 00:39:54,640 Speaker 1: much more dependable way to transport yourself or things as 732 00:39:54,640 --> 00:39:59,640 Speaker 1: opposed to cargo ship or as opposed to flight, you know, 733 00:40:00,000 --> 00:40:03,400 Speaker 1: because getting caught without wheels when you're at the mercy 734 00:40:03,560 --> 00:40:08,080 Speaker 1: of a rental place or an airport and inclement weather. 735 00:40:08,760 --> 00:40:11,840 Speaker 1: It's never an ideal situation. So for many, many reasons, 736 00:40:11,880 --> 00:40:15,680 Speaker 1: I think there's a poetry to the open road and 737 00:40:15,760 --> 00:40:18,520 Speaker 1: the idea of vehicles here in the US. Obviously it's 738 00:40:18,560 --> 00:40:21,359 Speaker 1: not great that the majority of people living here are 739 00:40:21,400 --> 00:40:25,320 Speaker 1: forced to depend upon those vehicles. But they're just cool. 740 00:40:25,560 --> 00:40:26,640 Speaker 1: They're just so cool, man. 741 00:40:27,080 --> 00:40:30,360 Speaker 3: Yeah, cars are the best. Driving is one of my 742 00:40:30,400 --> 00:40:33,440 Speaker 3: favorite things to do on the planet. And you know, 743 00:40:33,560 --> 00:40:35,360 Speaker 3: as you're saying, especially if you're at the mercy of 744 00:40:35,800 --> 00:40:38,879 Speaker 3: you know, public transportation, no matter how good it is, right, 745 00:40:38,960 --> 00:40:41,160 Speaker 3: no matter what state you live in, what country you 746 00:40:41,200 --> 00:40:46,480 Speaker 3: live in, using public transit, you're using somebody else's schedule, right, 747 00:40:46,600 --> 00:40:49,840 Speaker 3: you are hoping everything is going to work functionally. With 748 00:40:49,960 --> 00:40:53,319 Speaker 3: a car, if it's yours and you're driving it, you 749 00:40:53,360 --> 00:40:56,759 Speaker 3: get to get wherever you're going basically as fast as 750 00:40:56,800 --> 00:40:59,080 Speaker 3: you want to get there or can get there, And 751 00:40:59,200 --> 00:41:02,000 Speaker 3: you get to choose your own destiny. Right, you can 752 00:41:02,200 --> 00:41:05,560 Speaker 3: decide to go somewhere else if you want to. There's 753 00:41:06,000 --> 00:41:10,600 Speaker 3: a great freedom of a personal vehicle like a car, truck, 754 00:41:10,920 --> 00:41:14,319 Speaker 3: or an suv, even a motorcycle, any of that stuff. Well, 755 00:41:14,480 --> 00:41:19,920 Speaker 3: some of that personal freedom that car vehicles represent is 756 00:41:20,000 --> 00:41:24,240 Speaker 3: getting taken away guys in the EU, in the European 757 00:41:24,360 --> 00:41:28,120 Speaker 3: Union as well as in Northern Ireland at least to 758 00:41:28,200 --> 00:41:30,839 Speaker 3: some extent, and we're about to talk about it. As 759 00:41:30,880 --> 00:41:34,640 Speaker 3: of July seventh, that is the Sunday before we are 760 00:41:34,719 --> 00:41:38,319 Speaker 3: recording this on July tenth, all new vehicles, all new 761 00:41:38,360 --> 00:41:42,280 Speaker 3: cars sold in the European Union and Northern Ireland must 762 00:41:42,280 --> 00:41:46,719 Speaker 3: have quote a range of technical safety features fitted as standard, 763 00:41:47,239 --> 00:41:52,399 Speaker 3: including an intelligent speed assistance which is also known as 764 00:41:52,520 --> 00:41:56,239 Speaker 3: a speed limitter. Now what does that mean a lot 765 00:41:56,239 --> 00:42:00,799 Speaker 3: of newer vehicles, including the camera I'm currently driving it, 766 00:42:00,840 --> 00:42:04,600 Speaker 3: which is a twenty twenty one model, they have things 767 00:42:04,680 --> 00:42:08,480 Speaker 3: on them that will alert you that you are potentially 768 00:42:08,640 --> 00:42:11,960 Speaker 3: probably going over the posted speed limit on a road. 769 00:42:12,400 --> 00:42:16,080 Speaker 3: How does it do that? Well, in the vehicle I'm driving, 770 00:42:16,520 --> 00:42:20,200 Speaker 3: there is a little speed limit sign that shows up 771 00:42:20,280 --> 00:42:22,960 Speaker 3: on your heads up display in the or it's not 772 00:42:23,000 --> 00:42:25,239 Speaker 3: really heads up display, it's on your dashboard, but it 773 00:42:25,320 --> 00:42:30,040 Speaker 3: shows you what the posted speed limit is on that road, 774 00:42:30,400 --> 00:42:33,000 Speaker 3: right next to how fast you're going on your spinometer. 775 00:42:33,840 --> 00:42:37,319 Speaker 3: And in my vehicle at least it just lets you know, 776 00:42:37,719 --> 00:42:41,799 Speaker 3: with a color coding if you're going green like under 777 00:42:41,800 --> 00:42:44,560 Speaker 3: the speed limit, yellow right at that speed limit, or 778 00:42:44,600 --> 00:42:48,560 Speaker 3: red you're above the speed limit, buddy, And that's all 779 00:42:48,560 --> 00:42:51,359 Speaker 3: my vehicle does. It just lets me know that I 780 00:42:51,400 --> 00:42:52,120 Speaker 3: am doing this. 781 00:42:52,480 --> 00:42:56,200 Speaker 1: It doesn't interfere with your operation. It's like it's it's 782 00:42:56,200 --> 00:43:00,399 Speaker 1: the onboard version of those speed monitoring kiosk that gets 783 00:43:00,400 --> 00:43:03,080 Speaker 1: set up and like flash yes five if you're going 784 00:43:03,120 --> 00:43:04,440 Speaker 1: forty five and a thirty. 785 00:43:04,200 --> 00:43:07,879 Speaker 3: Five Yes, And in full honesty, guys, I notice when 786 00:43:07,920 --> 00:43:09,960 Speaker 3: it's happening. I just see the little like I'll see 787 00:43:09,960 --> 00:43:11,640 Speaker 3: the red pop up and I'm like, oh dang, I'm 788 00:43:11,800 --> 00:43:13,680 Speaker 3: going a little too fast, especially if I've got my 789 00:43:13,719 --> 00:43:15,719 Speaker 3: son in my car. It's really helpful. I'm like, I 790 00:43:15,760 --> 00:43:17,719 Speaker 3: should probably be a little more responsible than. 791 00:43:17,640 --> 00:43:19,760 Speaker 4: This doesn't beat at you, though, does it. 792 00:43:19,400 --> 00:43:23,400 Speaker 3: It does not, But god, many many vehicles will beep 793 00:43:23,400 --> 00:43:27,960 Speaker 3: at you, and other vehicles will even do things like 794 00:43:28,080 --> 00:43:32,919 Speaker 3: make the make the accelerator more difficult to push down. 795 00:43:32,960 --> 00:43:36,160 Speaker 3: It'll it'll give you resistance on your accelerator, which is 796 00:43:36,239 --> 00:43:37,040 Speaker 3: kind of interesting. 797 00:43:37,600 --> 00:43:40,359 Speaker 1: Other stitch to the insurance company, Oh. 798 00:43:40,360 --> 00:43:43,239 Speaker 3: Well, yeah, if you've got don't let me look if 799 00:43:43,280 --> 00:43:46,080 Speaker 3: you've got your you know, apps up to date, and 800 00:43:46,160 --> 00:43:48,359 Speaker 3: you've signed up for all the services, and you've said 801 00:43:48,440 --> 00:43:51,560 Speaker 3: yes to all the things, and whatever vehicle make and 802 00:43:51,640 --> 00:43:55,719 Speaker 3: model you're driving, it could potentially be, like Ben said, 803 00:43:55,840 --> 00:44:00,239 Speaker 3: snitching to your insurance company. Well, there's other things that 804 00:44:00,560 --> 00:44:02,359 Speaker 3: they can get around it, but officially, if you haven't 805 00:44:02,400 --> 00:44:04,799 Speaker 3: said yes to the stuff, at least as of right now, 806 00:44:05,480 --> 00:44:06,640 Speaker 3: it can't be used against you. 807 00:44:06,880 --> 00:44:09,560 Speaker 5: It reminds me of the kind of like governors that 808 00:44:09,680 --> 00:44:12,880 Speaker 5: like commercial trucks have in them. Right, it's sort of 809 00:44:12,920 --> 00:44:17,880 Speaker 5: almost approaching that if it is actually hampering your speed 810 00:44:17,960 --> 00:44:20,279 Speaker 5: because your school bus, that's right, that's right. 811 00:44:20,400 --> 00:44:23,320 Speaker 3: Well here's the deal, guys. These new vehicles, according to 812 00:44:23,400 --> 00:44:26,160 Speaker 3: these new rules in the European Union in Northern Ireland, 813 00:44:26,239 --> 00:44:29,480 Speaker 3: and that's just vehicles that are sold in those two places, 814 00:44:30,160 --> 00:44:35,520 Speaker 3: the new speed limitters will actually prevent vehicles from going 815 00:44:35,719 --> 00:44:40,120 Speaker 3: above the speed limit in posted zones. Now, there's not 816 00:44:40,320 --> 00:44:42,920 Speaker 3: I haven't seen the regulation anywhere in the Guardian or 817 00:44:42,920 --> 00:44:44,759 Speaker 3: any of the other places I've looked at this that 818 00:44:45,000 --> 00:44:48,400 Speaker 3: say which roads will be governed by these things, Like 819 00:44:48,960 --> 00:44:52,040 Speaker 3: is it just on highways, is it just on residential 820 00:44:52,080 --> 00:44:55,680 Speaker 3: streets or in school zones. Where where will those speeds 821 00:44:55,760 --> 00:44:58,799 Speaker 3: actually be regulated? If it's just on a per car 822 00:44:58,960 --> 00:45:02,400 Speaker 3: basis and it's in the entirety of the European Union 823 00:45:02,440 --> 00:45:07,240 Speaker 3: in Ireland or wherever that vehicle drives, that's pretty intense. 824 00:45:07,160 --> 00:45:08,120 Speaker 4: A lot of questions. 825 00:45:08,280 --> 00:45:12,480 Speaker 1: It's actually it's more dangerous to have a minority of 826 00:45:12,680 --> 00:45:16,040 Speaker 1: cars forced to be limited in that way, especially in 827 00:45:16,080 --> 00:45:18,799 Speaker 1: places where people will tend to drive five to ten 828 00:45:18,880 --> 00:45:20,800 Speaker 1: over the limit km or miles. 829 00:45:20,800 --> 00:45:22,480 Speaker 5: It doesn't think you're sitting with duck and you can't 830 00:45:22,480 --> 00:45:25,400 Speaker 5: outmaneuver others too. Let's say you're being chased or something, 831 00:45:25,520 --> 00:45:28,319 Speaker 5: or you in like a situation where you need to 832 00:45:29,080 --> 00:45:31,160 Speaker 5: I'm just saying, just putting that out there, but also 833 00:45:31,320 --> 00:45:34,279 Speaker 5: like who decides where and how do you know? 834 00:45:34,680 --> 00:45:38,439 Speaker 4: And is that not the slipperiest of slopes, right, there's 835 00:45:38,480 --> 00:45:39,280 Speaker 4: stated aim. 836 00:45:39,719 --> 00:45:43,920 Speaker 1: There's stated aim would be to probably number one priority 837 00:45:43,960 --> 00:45:50,120 Speaker 1: to lower road deaths and fatalities and accidents. So so logically, 838 00:45:50,200 --> 00:45:52,400 Speaker 1: if they're not rolling it out everywhere all at once, 839 00:45:52,680 --> 00:45:55,640 Speaker 1: they would probably be looking for areas where people are 840 00:45:55,680 --> 00:45:57,560 Speaker 1: more likely to die in car accidents. 841 00:45:58,239 --> 00:46:03,000 Speaker 3: Yeah, apparently, at least to the Guardian, road deaths involving 842 00:46:03,000 --> 00:46:07,000 Speaker 3: a speeding vehicle in Britain has risen faster since COVID, 843 00:46:07,360 --> 00:46:11,319 Speaker 3: which is up twenty percent in twenty twenty two. So 844 00:46:12,200 --> 00:46:14,600 Speaker 3: I believe what they're stating here, and I'm not positive 845 00:46:14,600 --> 00:46:16,600 Speaker 3: because it's a little bit strange to read, but it 846 00:46:16,640 --> 00:46:19,960 Speaker 3: says three hundred and three out of one thousand, six 847 00:46:20,040 --> 00:46:22,520 Speaker 3: hundred and ninety five. To me, that sounds like three 848 00:46:22,600 --> 00:46:25,399 Speaker 3: hundred and three deaths out of one thousand, six hundred 849 00:46:25,400 --> 00:46:31,000 Speaker 3: and ninety five speeding vehicle accidents or something. But staying 850 00:46:31,000 --> 00:46:34,160 Speaker 3: on logic, guys, tell me if I'm completely wrong here, 851 00:46:34,800 --> 00:46:38,240 Speaker 3: what I've noticed in driving on highways in Atlanta and 852 00:46:38,280 --> 00:46:41,600 Speaker 3: even just on you know, smaller residential roads around here. 853 00:46:42,480 --> 00:46:45,839 Speaker 3: I use the logic of I drive roughly the same 854 00:46:45,920 --> 00:46:49,960 Speaker 3: speed as the other vehicles that I'm driving around same 855 00:46:50,080 --> 00:46:53,920 Speaker 3: flow of traffic because and you just maintain distance from 856 00:46:54,000 --> 00:46:56,080 Speaker 3: the vehicles in front of you and around you, right. 857 00:46:56,400 --> 00:46:58,880 Speaker 3: But if you don't do that, at least in this 858 00:46:59,000 --> 00:47:03,640 Speaker 3: city they're is, it feels extremely dangerous because of I 859 00:47:03,680 --> 00:47:08,120 Speaker 3: would just say, the tempers and the attitudes of other 860 00:47:08,200 --> 00:47:12,280 Speaker 3: drivers around you, which you cannot control. How the aggressiveness 861 00:47:12,280 --> 00:47:16,920 Speaker 3: increases as you slow down and maybe even. 862 00:47:16,719 --> 00:47:17,880 Speaker 1: Anyone could have a gun. 863 00:47:18,000 --> 00:47:20,600 Speaker 3: Well yeah, yeah, I mean that's. 864 00:47:20,160 --> 00:47:22,640 Speaker 4: What's sitting duck again, Like I was saying, you know, but. 865 00:47:22,600 --> 00:47:25,279 Speaker 3: It's for me. It's just the actions that another driver 866 00:47:25,360 --> 00:47:28,600 Speaker 3: could take to aggressively get around me if I am 867 00:47:28,680 --> 00:47:32,520 Speaker 3: not going roughly the same speed as other drivers. Because 868 00:47:32,560 --> 00:47:35,279 Speaker 3: that's in my experience, that's when I've seen accidents on 869 00:47:35,320 --> 00:47:38,440 Speaker 3: the highway, is when someone's upset and trying to get 870 00:47:38,480 --> 00:47:40,839 Speaker 3: around somebody else, so they make a quick maneuver, which 871 00:47:40,960 --> 00:47:43,280 Speaker 3: then they either run into somebody else or it causes 872 00:47:43,320 --> 00:47:44,520 Speaker 3: a chain reaction. 873 00:47:44,760 --> 00:47:47,239 Speaker 1: And you would have blend in when you're when you're 874 00:47:47,239 --> 00:47:49,799 Speaker 1: in traffic, especially on a highway, so you kind of 875 00:47:49,800 --> 00:47:53,120 Speaker 1: want to move with the herd. If you are picking 876 00:47:53,200 --> 00:47:56,160 Speaker 1: up speed. You should know that speeding saves at best 877 00:47:56,320 --> 00:47:59,400 Speaker 1: three minutes of travel time. I think last time I 878 00:47:59,480 --> 00:48:02,919 Speaker 1: checked this stat So make your own judgment called make 879 00:48:02,960 --> 00:48:05,279 Speaker 1: sure that three minutes is important enough to you, and 880 00:48:05,360 --> 00:48:08,080 Speaker 1: be well aware that if you are chasing that extra 881 00:48:08,160 --> 00:48:10,600 Speaker 1: three minutes and you get pulled over, you're going to 882 00:48:10,680 --> 00:48:12,640 Speaker 1: lose much more than three minutes. You're going to be 883 00:48:12,680 --> 00:48:15,640 Speaker 1: way later to whatever it was, and you might not 884 00:48:15,719 --> 00:48:18,719 Speaker 1: make it depending on how fast you're going. Right, So 885 00:48:18,920 --> 00:48:22,160 Speaker 1: this is I think there's a lot of human psychology 886 00:48:22,200 --> 00:48:25,239 Speaker 1: that proves to us people are not necessarily built to 887 00:48:25,360 --> 00:48:29,839 Speaker 1: operate cars in groups because there's still that line mentality 888 00:48:30,040 --> 00:48:32,720 Speaker 1: like I want to be first in line to stop 889 00:48:32,800 --> 00:48:37,520 Speaker 1: light or whatever. Yeah, this is this is an inevitable 890 00:48:37,520 --> 00:48:40,560 Speaker 1: way of handling it. But the rollout itself, and I 891 00:48:40,560 --> 00:48:42,440 Speaker 1: think this is the point maybe you're getting to there, 892 00:48:42,520 --> 00:48:45,640 Speaker 1: Matt has its own potential for danger. 893 00:48:45,840 --> 00:48:48,040 Speaker 3: Well it does. And you made a great point there, 894 00:48:48,080 --> 00:48:51,040 Speaker 3: Ben that this is going to be a massive minority 895 00:48:51,120 --> 00:48:54,440 Speaker 3: of vehicles on the road for a long long time. 896 00:48:55,200 --> 00:48:57,680 Speaker 3: Not many people go out there and buy a brand 897 00:48:57,680 --> 00:49:01,520 Speaker 3: new model whatever, right, and then go take it on 898 00:49:01,560 --> 00:49:03,960 Speaker 3: the road. Most people, at least the ones that I 899 00:49:04,000 --> 00:49:07,600 Speaker 3: know and the statistics I'm seeing, you buy a vehicle 900 00:49:07,680 --> 00:49:10,439 Speaker 3: that's at least a couple of years out of date 901 00:49:10,480 --> 00:49:13,759 Speaker 3: from the brand new model. And that's a strategic thing. 902 00:49:13,880 --> 00:49:16,160 Speaker 3: That is a you know, that comes to how much 903 00:49:16,160 --> 00:49:18,360 Speaker 3: money you're going to spend. It has a lot to 904 00:49:18,400 --> 00:49:21,040 Speaker 3: do with a lot of things. Well, mostly because the 905 00:49:21,040 --> 00:49:23,680 Speaker 3: brand new model is crazy expensive for what you're getting, 906 00:49:23,760 --> 00:49:26,440 Speaker 3: especially since it loses a lot of its value as 907 00:49:26,440 --> 00:49:28,000 Speaker 3: soon as you drive it off the lot. Right, That's 908 00:49:28,040 --> 00:49:30,200 Speaker 3: something we've talked about over and over and over again. 909 00:49:31,960 --> 00:49:33,839 Speaker 3: So there's just going to be a tiny number of 910 00:49:33,880 --> 00:49:36,239 Speaker 3: cars that have to go the speed limit and stay 911 00:49:36,280 --> 00:49:38,920 Speaker 3: as far over as they possibly can so other cars 912 00:49:38,920 --> 00:49:41,480 Speaker 3: can go zip around them dangerously. 913 00:49:43,200 --> 00:49:46,480 Speaker 1: I would also be pissed in the UK with this 914 00:49:46,600 --> 00:49:48,799 Speaker 1: kind of control, even though there is a lot of. 915 00:49:48,760 --> 00:49:49,600 Speaker 4: Validity to it. 916 00:49:49,640 --> 00:49:52,680 Speaker 1: I would be I would understand the perspective of someone 917 00:49:52,719 --> 00:49:56,240 Speaker 1: who says it's already crazy expensive to own and operate 918 00:49:56,280 --> 00:49:59,200 Speaker 1: a car in London, you know, in particular like the 919 00:49:59,320 --> 00:50:01,680 Speaker 1: road tax you have to pay just to drive your 920 00:50:01,719 --> 00:50:03,920 Speaker 1: car or nuts. So I could see how a lot 921 00:50:03,960 --> 00:50:06,480 Speaker 1: of people get up about this, as we used to 922 00:50:06,480 --> 00:50:07,280 Speaker 1: say on car stuff. 923 00:50:07,360 --> 00:50:10,359 Speaker 3: Yeah, but the UK is out of this. It's not 924 00:50:10,400 --> 00:50:10,880 Speaker 3: in there. 925 00:50:11,080 --> 00:50:12,600 Speaker 1: For Northern Ireland. 926 00:50:12,640 --> 00:50:15,319 Speaker 3: I mean, y, yes, exactly well, you know, yeah, exactly right. 927 00:50:15,360 --> 00:50:18,160 Speaker 3: So that's that's going to create a whole other thing, right, 928 00:50:19,560 --> 00:50:23,279 Speaker 3: because if you take highways far north enough, you're gonna 929 00:50:23,280 --> 00:50:25,480 Speaker 3: be dealing with this stuff. But and again it's only 930 00:50:25,520 --> 00:50:29,000 Speaker 3: in new cars. So if you want a solution to this, 931 00:50:29,200 --> 00:50:31,600 Speaker 3: and you're gonna buy a car, in the next ever, 932 00:50:32,120 --> 00:50:35,120 Speaker 3: just buy a vehicle that was manufactured before twenty twenty five. 933 00:50:36,320 --> 00:50:39,720 Speaker 1: Yeah, honestly, you know, they're not perfect, but they will. 934 00:50:39,880 --> 00:50:43,320 Speaker 1: I am increasingly bullish on this. I don't think you 935 00:50:43,320 --> 00:50:46,359 Speaker 1: should buy new cars if you can avoid it, And 936 00:50:47,080 --> 00:50:52,000 Speaker 1: increasingly the older cars become more attractive because they can 937 00:50:52,239 --> 00:50:55,840 Speaker 1: there's still something that you own versus the newer models, 938 00:50:55,840 --> 00:50:59,719 Speaker 1: which are very very much pushing for subscription models. And 939 00:50:59,800 --> 00:51:02,879 Speaker 1: if subscribe to something that means you never really own it, 940 00:51:03,080 --> 00:51:06,360 Speaker 1: you know. Yeah, So self sufficiency is always always a 941 00:51:06,360 --> 00:51:07,920 Speaker 1: pretty good thing when you can possess it. 942 00:51:08,239 --> 00:51:11,600 Speaker 3: Agreed. Agreed. My favorite writing about this thus far has 943 00:51:11,600 --> 00:51:15,600 Speaker 3: come out of the Utopian by a gentleman named Matt 944 00:51:15,640 --> 00:51:18,480 Speaker 3: heart Degree. Really love your writing, Matt, if you ever 945 00:51:18,520 --> 00:51:24,120 Speaker 3: hear this. He just makes this really great point. He says, 946 00:51:24,440 --> 00:51:27,960 Speaker 3: speed limits, you know, they're they're part of the social 947 00:51:28,000 --> 00:51:30,080 Speaker 3: contract that we've talked about many times when we talk 948 00:51:30,120 --> 00:51:33,520 Speaker 3: about the lines on the road, right, But he says, 949 00:51:35,880 --> 00:51:38,360 Speaker 3: he says, you could drive one mile over the speed 950 00:51:38,360 --> 00:51:40,480 Speaker 3: limit and expect to get away with it. But you 951 00:51:40,640 --> 00:51:43,120 Speaker 3: rob one bank and all of a sudden there's a 952 00:51:43,160 --> 00:51:47,040 Speaker 3: man hunt. I just I'm sorry. I love that feels 953 00:51:47,080 --> 00:51:50,120 Speaker 3: like us talking on the show specifically, Ben, it sounds 954 00:51:50,160 --> 00:51:53,160 Speaker 3: like you to me, because it's just like this, it's 955 00:51:53,200 --> 00:51:56,000 Speaker 3: a perfect joke to me, it's. 956 00:51:55,920 --> 00:52:00,279 Speaker 1: I mean, it is Honestly, there are emergency situations where 957 00:52:00,320 --> 00:52:02,640 Speaker 1: you have to break a law. You know, I'm not 958 00:52:02,680 --> 00:52:06,160 Speaker 1: saying necessarily a bank robbery, but you know, you've got 959 00:52:06,440 --> 00:52:09,960 Speaker 1: what's the old eighties film trope. You have a pregnant 960 00:52:10,000 --> 00:52:12,840 Speaker 1: person giving birth in the car. You would want to 961 00:52:12,840 --> 00:52:15,360 Speaker 1: get to the hospital. You want to arrive at the 962 00:52:15,360 --> 00:52:18,719 Speaker 1: hospital before the baby arrives on Earth. Right, that's a 963 00:52:18,760 --> 00:52:22,560 Speaker 1: heck of a ticking time bomb scenario or a grievous injury, 964 00:52:23,040 --> 00:52:26,480 Speaker 1: you know. A natural disaster is another thing that every 965 00:52:26,600 --> 00:52:28,880 Speaker 1: year there are a ton of people in the US 966 00:52:29,120 --> 00:52:34,120 Speaker 1: who have to temporarily evacuate due to things like hurricanes, 967 00:52:34,920 --> 00:52:39,160 Speaker 1: and that already these I don't know. I'm on the fence. 968 00:52:39,200 --> 00:52:41,440 Speaker 1: I can see both sides of this, but the main 969 00:52:41,480 --> 00:52:44,800 Speaker 1: thing I see is that this is certain to occur, 970 00:52:45,120 --> 00:52:48,360 Speaker 1: right it It will roll out, and the more it's normalized, 971 00:52:48,400 --> 00:52:51,040 Speaker 1: there will be a feedback loops and more manufacturers will 972 00:52:51,080 --> 00:52:54,640 Speaker 1: adopt it proactively, even if they don't, even if they 973 00:52:54,680 --> 00:52:57,239 Speaker 1: don't legally have to, they'll adopt it just because it 974 00:52:57,239 --> 00:52:59,480 Speaker 1: gives them a better chance to sell cars in the EU. 975 00:52:59,760 --> 00:53:03,160 Speaker 3: You yeah, well yeah, And Matt makes this point that 976 00:53:03,200 --> 00:53:06,320 Speaker 3: I really think will resonate with us guys. He says, 977 00:53:06,520 --> 00:53:09,480 Speaker 3: increasingly car makers are trying to take the role of 978 00:53:09,600 --> 00:53:13,120 Speaker 3: driving away from the driver. This view sees the driver 979 00:53:13,200 --> 00:53:17,000 Speaker 3: as an unfortunate necessity, a stand in for a computer 980 00:53:17,239 --> 00:53:21,160 Speaker 3: that will eventually do the job, and that view within 981 00:53:21,280 --> 00:53:28,080 Speaker 3: car manufacturing is winning. So this concept of like the excitement, 982 00:53:28,120 --> 00:53:30,400 Speaker 3: the freedom that you feel getting in a car, it 983 00:53:30,440 --> 00:53:33,480 Speaker 3: will go away, as you're saying, Ben, all of that stuff, 984 00:53:33,520 --> 00:53:36,719 Speaker 3: it's just gonna go away. Eventually. We'll just have to 985 00:53:36,760 --> 00:53:40,640 Speaker 3: cling on to you know, a nineteenth what I don't 986 00:53:40,680 --> 00:53:43,879 Speaker 3: know the year, but the nineteen eighty something Dodge charger. Man. 987 00:53:45,360 --> 00:53:47,560 Speaker 5: We have talked about that though, and there is I 988 00:53:47,600 --> 00:53:51,160 Speaker 5: think one could argue a greater good argument there where, like, 989 00:53:51,360 --> 00:53:53,920 Speaker 5: you know, statistically speaking, if this were the case and 990 00:53:53,960 --> 00:53:57,040 Speaker 5: the technology was good, it would reduce deaths. And it 991 00:53:57,120 --> 00:53:59,600 Speaker 5: might be there might be a future where that feeling 992 00:53:59,640 --> 00:54:01,920 Speaker 5: you guys are talking about would be relegated to an 993 00:54:01,920 --> 00:54:04,960 Speaker 5: experience you pay for, you know, on a track or 994 00:54:05,000 --> 00:54:08,360 Speaker 5: something that's like outside of the realm of like other people, 995 00:54:08,600 --> 00:54:10,359 Speaker 5: you know, being potentially in harm's way. 996 00:54:10,640 --> 00:54:13,080 Speaker 4: And I know that likely sucks to. 997 00:54:13,360 --> 00:54:15,560 Speaker 5: A lot of auto enthusiasts, But I'm wondering if you 998 00:54:15,640 --> 00:54:17,920 Speaker 5: guys have thought about the flip side of that, if 999 00:54:17,960 --> 00:54:20,520 Speaker 5: there is a greater good argument here, if you know, 1000 00:54:20,640 --> 00:54:24,600 Speaker 5: sufficiently advanced enough technology were to come about. 1001 00:54:24,600 --> 00:54:27,799 Speaker 1: In depth, yeah, especially in car stuff, at least. 1002 00:54:27,560 --> 00:54:28,080 Speaker 4: On my end. 1003 00:54:29,120 --> 00:54:31,600 Speaker 1: Maybe I can't remember what show I made this analogy, 1004 00:54:31,680 --> 00:54:36,200 Speaker 1: and but one of one comparison could be when comparison 1005 00:54:36,280 --> 00:54:40,920 Speaker 1: could be the idea of horses. Right, pre automobile and 1006 00:54:41,200 --> 00:54:44,520 Speaker 1: internal combustion engine, a lot of people would engage in 1007 00:54:44,640 --> 00:54:49,040 Speaker 1: transportation with horses, right, because it's smart. It's been around 1008 00:54:49,080 --> 00:54:53,239 Speaker 1: for a while. But now as the automobile became more normalized, 1009 00:54:53,360 --> 00:54:57,080 Speaker 1: more affordable, now horses have been kind of relegated to 1010 00:54:57,160 --> 00:55:01,640 Speaker 1: this nostalgic thing for the And that might be what 1011 00:55:01,800 --> 00:55:05,439 Speaker 1: happens with cars that you drive yourself. It might be, 1012 00:55:05,560 --> 00:55:07,799 Speaker 1: you know, I can earn the sci fi story, but 1013 00:55:07,800 --> 00:55:12,920 Speaker 1: there's this great mystery sci fi story about a world 1014 00:55:13,000 --> 00:55:17,359 Speaker 1: wherein fossil fuel emissions are much more closely monitored and 1015 00:55:17,400 --> 00:55:20,400 Speaker 1: there's a guy who is just sneaking out and driving 1016 00:55:20,520 --> 00:55:25,959 Speaker 1: his old school and a museum type of car. But yeah, 1017 00:55:26,000 --> 00:55:29,440 Speaker 1: it's possible. So maybe maybe that'll be it. Maybe the 1018 00:55:29,440 --> 00:55:33,840 Speaker 1: the cameras and the Ford focuses and the Ford escapes 1019 00:55:33,880 --> 00:55:36,879 Speaker 1: and what have used. Maybe if you have a car 1020 00:55:37,000 --> 00:55:39,680 Speaker 1: like that, you should hold on to it as long 1021 00:55:39,800 --> 00:55:40,520 Speaker 1: as you can. 1022 00:55:40,920 --> 00:55:44,640 Speaker 3: Hey, man, my camera gets forty MPG. Okay, come on, oh. 1023 00:55:44,600 --> 00:55:48,680 Speaker 4: Yeah with the cus but tiny thing for me. 1024 00:55:48,760 --> 00:55:51,080 Speaker 5: It also reminds me of folks that like refuse to 1025 00:55:51,160 --> 00:55:54,840 Speaker 5: upgrade their operating systems on their computer because they like 1026 00:55:54,960 --> 00:55:58,120 Speaker 5: the version of the software they use and they do 1027 00:55:58,239 --> 00:56:00,880 Speaker 5: not want to be forced to upgrade, so they like 1028 00:56:00,960 --> 00:56:04,080 Speaker 5: kind of remove that computer from the Internet. And this 1029 00:56:04,160 --> 00:56:06,239 Speaker 5: is true from a lot of audio, you know, or 1030 00:56:06,320 --> 00:56:08,920 Speaker 5: video editing. Perhaps somebody really liked the early version of 1031 00:56:09,080 --> 00:56:11,680 Speaker 5: Final Cut Pro and doesn't want to participate anything else 1032 00:56:11,680 --> 00:56:13,960 Speaker 5: because that just worked for them, you know. And so 1033 00:56:14,000 --> 00:56:17,680 Speaker 5: you just kind of remove yourself from that technological rat race. 1034 00:56:18,680 --> 00:56:21,440 Speaker 3: Well unless you can't, unless you cannot remove yourself at all, 1035 00:56:21,520 --> 00:56:26,759 Speaker 3: because if you own a vehicle, even in California, Senator Wiener, yes, 1036 00:56:26,880 --> 00:56:30,319 Speaker 3: that's right, Scott Wiener. He proposed a bill back in 1037 00:56:30,440 --> 00:56:35,960 Speaker 3: January to do this very thing in California, so you 1038 00:56:36,000 --> 00:56:39,000 Speaker 3: know it might be coming our way. That bill, by 1039 00:56:39,000 --> 00:56:42,600 Speaker 3: the way, it's not going through, and that cat is 1040 00:56:43,120 --> 00:56:46,200 Speaker 3: very excited to exit this room. So why don't we 1041 00:56:46,239 --> 00:56:50,160 Speaker 3: exit this segment? Thank you, Doc? Here we go ed. 1042 00:56:50,600 --> 00:56:53,319 Speaker 1: This brings us to one of our favorite parts of 1043 00:56:53,360 --> 00:56:55,560 Speaker 1: the show. This is where we pass the torch to you, 1044 00:56:55,800 --> 00:57:00,360 Speaker 1: fellow conspiracy realist. Have you have you like some of 1045 00:57:00,320 --> 00:57:05,880 Speaker 1: your faithful correspondents traveled abroad and ran into the robot revolution. 1046 00:57:06,440 --> 00:57:08,040 Speaker 1: What do you think about cars? So you get my 1047 00:57:08,080 --> 00:57:10,719 Speaker 1: car stuff? Had on for this. Really interested to hear 1048 00:57:10,800 --> 00:57:14,200 Speaker 1: the future of automation, the greater good arguments, and then 1049 00:57:14,520 --> 00:57:18,320 Speaker 1: of course change your passwords. We can't wait to hear 1050 00:57:18,400 --> 00:57:21,880 Speaker 1: from someone who is actually attending the Taco Bell Retirement Home, 1051 00:57:22,480 --> 00:57:24,520 Speaker 1: reach out to us online, tell us about all this, 1052 00:57:24,640 --> 00:57:27,760 Speaker 1: and most importantly, tell us what it's like to live Moss. 1053 00:57:28,440 --> 00:57:32,480 Speaker 1: It's a Taco Bell tag, min I'm doing Taco Bell references. 1054 00:57:31,920 --> 00:57:34,320 Speaker 4: More by I got it, I got it. It's good. 1055 00:57:34,840 --> 00:57:37,080 Speaker 5: It's true, though, Ben, you make great points here, and 1056 00:57:37,120 --> 00:57:40,040 Speaker 5: you can, in fact reach out to us in various ways, 1057 00:57:40,360 --> 00:57:42,200 Speaker 5: including on the Internet where you can find it to 1058 00:57:42,200 --> 00:57:44,720 Speaker 5: the handle Conspiracy Stuff, where we exist, on Facebook where 1059 00:57:44,720 --> 00:57:45,640 Speaker 5: we have our Facebook group. 1060 00:57:45,680 --> 00:57:47,120 Speaker 4: Here's where it gets crazy. Get it in on the 1061 00:57:47,120 --> 00:57:48,000 Speaker 4: conversation there. 1062 00:57:48,320 --> 00:57:52,240 Speaker 5: Send us your memes and your hot takes on topics 1063 00:57:52,240 --> 00:57:54,280 Speaker 5: of discussion here on stuff that it wants you to know. 1064 00:57:54,560 --> 00:57:58,920 Speaker 5: We are also conspiracy Stuff on xfka, Twitter and on YouTube. 1065 00:57:59,080 --> 00:58:01,720 Speaker 5: We have video concept coming at you on the regular. 1066 00:58:02,040 --> 00:58:05,560 Speaker 5: On Instagram and TikTok. We're Conspiracy Stuff show. Do you 1067 00:58:05,560 --> 00:58:08,520 Speaker 5: want to call us? Call one eight three three st 1068 00:58:08,760 --> 00:58:13,000 Speaker 5: d WYTK. That's our voicemail system. You'll have three minutes 1069 00:58:13,040 --> 00:58:15,280 Speaker 5: and give yourself a cool nickname and let us know 1070 00:58:15,800 --> 00:58:18,480 Speaker 5: what you think about this episode, or any other episode, 1071 00:58:18,600 --> 00:58:19,640 Speaker 5: or any topic at all. 1072 00:58:19,960 --> 00:58:23,200 Speaker 3: Give us a suggestion for a show. We should do anything. 1073 00:58:23,480 --> 00:58:25,560 Speaker 3: We want to hear from you. If you got more 1074 00:58:25,560 --> 00:58:27,200 Speaker 3: to say, they can fit in three minutes. One not 1075 00:58:27,320 --> 00:58:29,280 Speaker 3: instead send us a good old fashioned email. 1076 00:58:29,520 --> 00:58:32,520 Speaker 1: We are the entities that read every email we receive. 1077 00:58:32,760 --> 00:58:35,680 Speaker 1: Be well aware sometimes the void writes back head and 1078 00:58:35,680 --> 00:58:39,080 Speaker 1: can't wait to hear from you. Conspiracy at iHeartRadio dot com. 1079 00:58:57,840 --> 00:58:59,840 Speaker 3: Stuff they Don't want you to know is a production 1080 00:59:00,040 --> 00:59:04,520 Speaker 3: of iHeartRadio. For more podcasts from iHeartRadio, visit the iHeartRadio app, 1081 00:59:04,600 --> 00:59:07,480 Speaker 3: Apple Podcasts, or wherever you listen to your favorite shows.