1 00:00:00,200 --> 00:00:03,760 Speaker 1: Hello the Internet, and welcome to this episode of Big 2 00:00:03,800 --> 00:00:06,880 Speaker 1: Boy Trend on the Roof, Big Boy Trend on the Roof. 3 00:00:06,920 --> 00:00:09,360 Speaker 2: They ain't never seen a big boy trend on the roof. 4 00:00:09,600 --> 00:00:15,280 Speaker 1: That one courtesy of that clip, that classic clip. 5 00:00:15,640 --> 00:00:20,120 Speaker 2: Of somebody singing like making up a. 6 00:00:20,040 --> 00:00:22,480 Speaker 1: Song called big Boy Get on the roof. They've never 7 00:00:22,480 --> 00:00:24,800 Speaker 1: seen a big boy get on the roof as their friend, 8 00:00:25,520 --> 00:00:29,319 Speaker 1: a big boy dances his way onto the roof, and 9 00:00:29,360 --> 00:00:31,319 Speaker 1: then it becomes big boy grill on the roof because 10 00:00:31,320 --> 00:00:32,440 Speaker 1: they're grilling on the roof. 11 00:00:32,479 --> 00:00:35,400 Speaker 2: It's just a beautiful, beautiful. 12 00:00:34,960 --> 00:00:39,280 Speaker 1: Clip, just pured, the vibes immaculate. And then it was 13 00:00:39,280 --> 00:00:41,239 Speaker 1: trending again because Trump was on the roof of the 14 00:00:41,240 --> 00:00:45,360 Speaker 1: White House yesterday as we talked about. And now that 15 00:00:45,400 --> 00:00:49,840 Speaker 1: shit is just in my head irrevocably, that song, big 16 00:00:49,880 --> 00:00:50,720 Speaker 1: Boy Trend. 17 00:00:50,560 --> 00:00:52,640 Speaker 2: On the roof, Big Boy Trend on the roof. 18 00:00:53,520 --> 00:00:55,960 Speaker 1: My name is Jack O'Brian that of course over there. 19 00:00:56,040 --> 00:00:59,720 Speaker 1: Of course that voice clip you hear, of course, of 20 00:00:59,760 --> 00:01:02,000 Speaker 1: course isake wax Lie. 21 00:01:04,240 --> 00:01:06,920 Speaker 2: Have you ever heard of a talking horse? The mister ed, 22 00:01:07,760 --> 00:01:10,000 Speaker 2: because you a song, right, A horse is a horse? 23 00:01:10,040 --> 00:01:20,120 Speaker 1: Of course, horse, unless isn't that what it's unless, of course. 24 00:01:18,800 --> 00:01:21,800 Speaker 2: That's the thing that I think might be more popular, 25 00:01:21,840 --> 00:01:25,319 Speaker 2: exponentially more popular than the show itself, where that song, 26 00:01:26,000 --> 00:01:29,920 Speaker 2: that song has outlived that show in the zeitgeist. 27 00:01:29,920 --> 00:01:31,920 Speaker 1: If I may, I think it's time for them to 28 00:01:32,000 --> 00:01:35,399 Speaker 1: reboot that and like make him how has an anti hero? 29 00:01:36,280 --> 00:01:38,399 Speaker 2: Oh wait, they did that with bo Jack Horseman Nember Mine. 30 00:01:39,680 --> 00:01:41,160 Speaker 2: The it is. 31 00:01:41,280 --> 00:01:45,280 Speaker 1: So there's this thing that some people think is real. Uh, 32 00:01:45,360 --> 00:01:50,840 Speaker 1: some people don't. But it's this phenomenon where we all 33 00:01:50,880 --> 00:01:53,560 Speaker 1: we all have our questions. The truth is out there 34 00:01:53,960 --> 00:01:56,880 Speaker 1: is out there. Someone called the Flint effect where somebody 35 00:01:56,960 --> 00:02:01,160 Speaker 1: noticed that on i Q tests, people like they had 36 00:02:01,200 --> 00:02:06,400 Speaker 1: to keep upping the difficulty of IQ tests because people 37 00:02:06,480 --> 00:02:08,639 Speaker 1: kept getting better and better at it, and like you're 38 00:02:08,639 --> 00:02:10,200 Speaker 1: supposed to it's supposed to be a test of like, 39 00:02:10,600 --> 00:02:14,960 Speaker 1: you know, what is average intelligence. And so if you 40 00:02:15,040 --> 00:02:18,280 Speaker 1: give somebody who gets a one hundred today on an 41 00:02:18,280 --> 00:02:22,720 Speaker 1: IQ test a test from nineteen fifty three, they would 42 00:02:22,800 --> 00:02:24,880 Speaker 1: get like a one hundred and twenty. They would be 43 00:02:25,000 --> 00:02:29,400 Speaker 1: a above average for nineteen fifty And people are like, well. 44 00:02:29,320 --> 00:02:33,880 Speaker 2: That can't bemcheck, how can you get higher than one hundred? 45 00:02:35,360 --> 00:02:39,240 Speaker 2: It's idosterious like one twenty. Why are you making you 46 00:02:39,240 --> 00:02:41,800 Speaker 2: couldn't you have done a better example than a hundred? 47 00:02:42,919 --> 00:02:47,360 Speaker 1: So IQ one hundred is average what you have to understand, 48 00:02:47,440 --> 00:02:47,799 Speaker 1: and they. 49 00:02:47,800 --> 00:02:51,600 Speaker 2: Told me it's an A plus. 50 00:02:51,680 --> 00:02:54,920 Speaker 1: Buddy, you did great. Now go back to play with 51 00:02:54,960 --> 00:03:00,320 Speaker 1: your your paint chips. The you know, everybody's like dah, 52 00:03:00,480 --> 00:03:03,960 Speaker 1: the kids are getting stupider every year, right, And the 53 00:03:04,000 --> 00:03:07,000 Speaker 1: truth is that for a long time, according to IQ 54 00:03:07,200 --> 00:03:11,280 Speaker 1: tests highly fallible, everybody has been getting smarter and smarter 55 00:03:11,400 --> 00:03:16,880 Speaker 1: on a like three IQ test points per decade average 56 00:03:17,280 --> 00:03:21,120 Speaker 1: since like the nineteen twenties, Big mystery. Some of the 57 00:03:21,120 --> 00:03:24,840 Speaker 1: theories are that it was like everybody was being exposed 58 00:03:24,880 --> 00:03:28,440 Speaker 1: to lead for so long and then they stopped. But 59 00:03:28,520 --> 00:03:31,639 Speaker 1: it's been more gradual, and it's been everywhere. Basically, it's 60 00:03:31,680 --> 00:03:35,040 Speaker 1: been like everywhere on the planet. My loose theory is 61 00:03:35,040 --> 00:03:38,200 Speaker 1: that it's just like thing like culture has gotten more 62 00:03:38,240 --> 00:03:42,119 Speaker 1: complex and you know the theory. 63 00:03:42,440 --> 00:03:43,680 Speaker 2: The example I. 64 00:03:43,720 --> 00:03:48,720 Speaker 1: Use is movie movie trailers used to have to be like, 65 00:03:49,240 --> 00:03:52,520 Speaker 1: this is your protagonist. His name is Dave. I'm going 66 00:03:52,560 --> 00:03:54,840 Speaker 1: to tell you about his life and then explain the 67 00:03:54,840 --> 00:03:58,320 Speaker 1: plot to you, and then like not a good movie, 68 00:03:58,320 --> 00:04:02,720 Speaker 1: but like Diehard four has a no voice over, and 69 00:04:02,920 --> 00:04:06,320 Speaker 1: the trailer has like a very subtle reference to the 70 00:04:06,320 --> 00:04:08,680 Speaker 1: first one, where like doors open and you hear the 71 00:04:08,720 --> 00:04:11,680 Speaker 1: song that they played from the first one when the 72 00:04:11,680 --> 00:04:14,480 Speaker 1: bank vault opens, and it's like, that's how you that's 73 00:04:14,520 --> 00:04:18,000 Speaker 1: where they revealed it. I heard that, and it's just yeah, yeah, 74 00:04:18,120 --> 00:04:20,559 Speaker 1: it's like all these things that we've been like told 75 00:04:20,720 --> 00:04:23,640 Speaker 1: make a dumber, like MTV, like this fast cutting and 76 00:04:23,680 --> 00:04:27,839 Speaker 1: all that stuff is like, actually, you know, more difficult 77 00:04:28,120 --> 00:04:29,760 Speaker 1: for our brains to keep up with, and we're having 78 00:04:29,760 --> 00:04:33,159 Speaker 1: to like imbibe like more difficult texts and all this. 79 00:04:33,240 --> 00:04:35,080 Speaker 1: But a lot of people are like, well, IQ testter 80 00:04:35,120 --> 00:04:37,280 Speaker 1: bullshit and none of it matters, and like you're only 81 00:04:37,279 --> 00:04:39,839 Speaker 1: getting smarter in this very specific way. The one thing 82 00:04:39,880 --> 00:04:42,320 Speaker 1: that I always go back to being like, I think 83 00:04:42,400 --> 00:04:45,800 Speaker 1: we're smarter in a pretty significant way is like, go 84 00:04:45,920 --> 00:04:46,880 Speaker 1: watch mister ed. 85 00:04:48,360 --> 00:04:51,599 Speaker 2: What they thought was entertaining in the nineteen fifties. 86 00:04:54,080 --> 00:04:58,960 Speaker 1: That made people exactly and explain to you that it 87 00:04:59,000 --> 00:05:02,480 Speaker 1: was a talking horse, uh before showing you a show 88 00:05:02,520 --> 00:05:06,200 Speaker 1: about a talking horse, where from scene one it's pretty 89 00:05:06,200 --> 00:05:08,200 Speaker 1: evident that this is a show about a talking horse. 90 00:05:08,400 --> 00:05:10,840 Speaker 1: It does feel like a show that was made by 91 00:05:11,000 --> 00:05:13,520 Speaker 1: and for people who had been kicked in the head 92 00:05:13,680 --> 00:05:14,520 Speaker 1: by a horse. 93 00:05:15,640 --> 00:05:22,000 Speaker 2: Yes, it was traumatic brain injuries in an agricultural space audience. 94 00:05:22,680 --> 00:05:26,440 Speaker 2: It's for every single episode. Okay, so I know we 95 00:05:26,800 --> 00:05:30,679 Speaker 2: all know horses don't talk. However this one does. 96 00:05:32,839 --> 00:05:36,600 Speaker 1: Mister let's start there with that horse equals horse. 97 00:05:37,000 --> 00:05:39,680 Speaker 2: We know he's a horse, of course, obviously we all 98 00:05:39,720 --> 00:05:41,560 Speaker 2: know that. Now here's here's where we might lose some 99 00:05:41,600 --> 00:05:45,320 Speaker 2: of it is mister ed. It's mister ed. Okay, horses 100 00:05:45,360 --> 00:05:47,400 Speaker 2: have names. Probably lost a little, but we're still on 101 00:05:47,440 --> 00:05:50,320 Speaker 2: the same board. Now. Now you're gonna fucking blow your 102 00:05:50,320 --> 00:05:54,719 Speaker 2: brain down on this next one. This mayor is talking 103 00:05:55,200 --> 00:05:58,200 Speaker 2: the thing. This thing is gonna fuck you up. 104 00:05:58,360 --> 00:06:01,960 Speaker 1: And again, I don't think that that makes us smarter 105 00:06:02,120 --> 00:06:05,200 Speaker 1: than them in ways that are that important. I just 106 00:06:05,279 --> 00:06:07,920 Speaker 1: think in the same way that like IQ tests are 107 00:06:07,960 --> 00:06:11,320 Speaker 1: testing your ability to like detect patterns and like you know, 108 00:06:11,720 --> 00:06:15,039 Speaker 1: pry apart like the meaning of like a specific sentence 109 00:06:15,320 --> 00:06:18,680 Speaker 1: like that is also like the sort of thing you 110 00:06:18,720 --> 00:06:22,599 Speaker 1: can get from watching more and more complicated and subtle 111 00:06:22,760 --> 00:06:26,560 Speaker 1: messaging through your media. And like where we started was 112 00:06:27,560 --> 00:06:30,240 Speaker 1: fucking talking horse. Are you fucking kidding. 113 00:06:30,640 --> 00:06:34,320 Speaker 2: Shut it off, Shut it off, Turn off that garbage off. 114 00:06:35,120 --> 00:06:41,080 Speaker 2: You're bringing Satan into this household. All right? Anyways, hello 115 00:06:41,120 --> 00:06:42,120 Speaker 2: the Internet. 116 00:06:42,839 --> 00:06:45,320 Speaker 1: Speaking of entertainment that was made behind four people who 117 00:06:45,320 --> 00:06:47,839 Speaker 1: were kicked in the head by a horse. There is 118 00:06:47,880 --> 00:06:53,799 Speaker 1: a new War of the World's starring ice Cube. It 119 00:06:53,839 --> 00:06:57,520 Speaker 1: is getting a lot of attention for having a zero 120 00:06:57,680 --> 00:07:02,760 Speaker 1: percent on Rotten Tomato. It's and so we watched the trailer, 121 00:07:03,000 --> 00:07:05,080 Speaker 1: and then we watched a scene that is also getting 122 00:07:05,080 --> 00:07:08,479 Speaker 1: a lot of attention. In the scene, it's just in 123 00:07:08,560 --> 00:07:13,800 Speaker 1: the scene, it's ice Cube, his daughter and her friend, 124 00:07:13,880 --> 00:07:18,560 Speaker 1: an Amazon delivery driver trying to solve a problem. It's 125 00:07:18,600 --> 00:07:22,840 Speaker 1: all happening over zoom. I assumed this was like, Okay, 126 00:07:22,840 --> 00:07:25,840 Speaker 1: what if we're the world happened during pandemic. 127 00:07:26,280 --> 00:07:26,640 Speaker 2: It's not. 128 00:07:27,040 --> 00:07:29,840 Speaker 1: They're just like, Dad, you work so much, you're always 129 00:07:29,880 --> 00:07:34,960 Speaker 1: on zoom And he's like, ah, I guess so, Dad, 130 00:07:35,200 --> 00:07:37,040 Speaker 1: was the last time you left your apartment? 131 00:07:37,560 --> 00:07:40,000 Speaker 2: That's confidential, says ice Cube. 132 00:07:41,240 --> 00:07:45,000 Speaker 1: And then an Amazon drone delivery device like saves the 133 00:07:45,080 --> 00:07:47,080 Speaker 1: day at the end of the famous scene. 134 00:07:47,680 --> 00:07:50,760 Speaker 2: It's kind of mind boggling. You kind of need to 135 00:07:50,800 --> 00:07:52,160 Speaker 2: see it to believe. 136 00:07:52,200 --> 00:07:56,680 Speaker 1: It that this is an actual movie that's being released 137 00:07:56,840 --> 00:08:00,000 Speaker 1: by Amazon. We'll link off to the Reddit post where 138 00:08:00,040 --> 00:08:03,800 Speaker 1: people are like the scene fucking rules. 139 00:08:05,280 --> 00:08:08,280 Speaker 2: People are going to deconstruct this trailer the way we 140 00:08:08,440 --> 00:08:12,120 Speaker 2: just deconstructed Mister Ed, but like fifty years from now 141 00:08:12,160 --> 00:08:14,520 Speaker 2: where they're gonna be like, okay, So they needed to 142 00:08:14,520 --> 00:08:17,760 Speaker 2: be told that the data is their food. That's these 143 00:08:17,800 --> 00:08:20,600 Speaker 2: people are so stupid. In the year twenty twenty five, 144 00:08:20,640 --> 00:08:21,960 Speaker 2: what if I didn't know what year it was in 145 00:08:22,040 --> 00:08:23,320 Speaker 2: the year twenty twenty four. 146 00:08:24,160 --> 00:08:27,600 Speaker 1: Oh god, one of the ways we got smarter is 147 00:08:27,640 --> 00:08:28,840 Speaker 1: knowing what year it does. 148 00:08:29,040 --> 00:08:30,960 Speaker 2: No, No, that was a that was a miss. But 149 00:08:31,640 --> 00:08:34,520 Speaker 2: the data is their food. So these these aliens, I 150 00:08:34,520 --> 00:08:36,400 Speaker 2: guess are coming in to eat our data because it's 151 00:08:36,400 --> 00:08:39,160 Speaker 2: their food. Yeah. And where they're already started. 152 00:08:38,840 --> 00:08:41,400 Speaker 1: With one thing, they started being like what if we 153 00:08:41,760 --> 00:08:44,800 Speaker 1: remade that Will Smith movie Enemy of the State, but 154 00:08:44,880 --> 00:08:47,199 Speaker 1: like it was through you know how, Like they're those 155 00:08:47,240 --> 00:08:52,440 Speaker 1: horror movies that are like unchatted, It's time the Chat 156 00:08:52,600 --> 00:08:55,079 Speaker 1: is Haunted or whatever, where it's like the whole movie 157 00:08:55,080 --> 00:08:59,120 Speaker 1: takes place through like zoom. But like, because like this 158 00:08:59,400 --> 00:09:02,040 Speaker 1: tends to work best for horror movies where it's like 159 00:09:02,120 --> 00:09:05,920 Speaker 1: you have a you know, window, you have like a 160 00:09:06,040 --> 00:09:10,439 Speaker 1: view of the action through someone's computer screen, and like 161 00:09:10,520 --> 00:09:14,319 Speaker 1: the limiting factor of that makes it like extra suspenseful 162 00:09:14,400 --> 00:09:18,640 Speaker 1: or whatever. For like a big budget action movie like 163 00:09:18,720 --> 00:09:21,480 Speaker 1: War of the World's to remake that by being like, 164 00:09:21,640 --> 00:09:24,680 Speaker 1: we're just gonna like show you shitty footage of this 165 00:09:25,760 --> 00:09:29,720 Speaker 1: doesn't seem like it was that that good of an idea. 166 00:09:30,720 --> 00:09:33,559 Speaker 2: You were saying, no, no, no, no, I wasn't and 167 00:09:33,720 --> 00:09:37,840 Speaker 2: but now I will. And it's that. Meanwhile, the only 168 00:09:37,880 --> 00:09:40,280 Speaker 2: reason why this big budget film, to your point is 169 00:09:40,600 --> 00:09:45,080 Speaker 2: exclusively is a zoom film. It's because when ice Cube 170 00:09:45,120 --> 00:09:47,679 Speaker 2: signed the contract that morning, he had sat in the 171 00:09:47,679 --> 00:09:50,680 Speaker 2: worst traffic of his life in la and was like, Yeah, 172 00:09:50,720 --> 00:09:53,360 Speaker 2: I'm not leaving my house for this movie, so you 173 00:09:53,400 --> 00:09:54,920 Speaker 2: can do whatever you want with the other scenes. You 174 00:09:54,920 --> 00:09:57,280 Speaker 2: can have aliens blowing things up in the city. I'm 175 00:09:57,400 --> 00:10:00,439 Speaker 2: sitting at my desk. You're gonna bring the count and 176 00:10:00,520 --> 00:10:03,480 Speaker 2: I'm not leaving this room now. And they were like, 177 00:10:03,559 --> 00:10:06,480 Speaker 2: we can work with that. Yeah, sounds great, that's how 178 00:10:06,520 --> 00:10:10,600 Speaker 2: we wrote it. Actually, that's right, coincidence. But yeah, so 179 00:10:10,679 --> 00:10:15,000 Speaker 2: they're doing a zoom windows eye view on War of 180 00:10:15,040 --> 00:10:15,679 Speaker 2: the worlds. 181 00:10:16,200 --> 00:10:23,079 Speaker 1: It is hovering at a stunning zero percent on rotten Tomatoes, 182 00:10:23,880 --> 00:10:28,360 Speaker 1: and super producer Victor points out that I asked several 183 00:10:28,400 --> 00:10:30,959 Speaker 1: times as we were watching the trailer and then watching 184 00:10:31,000 --> 00:10:35,320 Speaker 1: the scene, if this was real like it does? It 185 00:10:35,360 --> 00:10:39,040 Speaker 1: does feel like it can't possibly be real, specifically the 186 00:10:39,040 --> 00:10:41,520 Speaker 1: the Amazon trail because this is like an Amazon Prime 187 00:10:41,600 --> 00:10:48,080 Speaker 1: original And to have a scene inside where the guy's like, no, 188 00:10:48,200 --> 00:10:51,440 Speaker 1: it's cool, I can get you this by sending it 189 00:10:51,480 --> 00:10:56,199 Speaker 1: out on a drone is pretty pretty amazing. 190 00:10:56,679 --> 00:10:59,480 Speaker 2: So, zike Agle, let's get this tomato meter up to 191 00:10:59,520 --> 00:11:01,600 Speaker 2: a nine percent by the end of the day. I 192 00:11:01,640 --> 00:11:03,920 Speaker 2: think we can do it if we all vote. We're all, 193 00:11:04,040 --> 00:11:05,960 Speaker 2: how does that work? Is it like a Nielsen rating 194 00:11:05,960 --> 00:11:07,720 Speaker 2: where you need to have a tomato in your TV 195 00:11:07,840 --> 00:11:10,560 Speaker 2: in to vote? Yes, that's how work. That is how 196 00:11:10,600 --> 00:11:13,880 Speaker 2: it works. Okay, just have a they have a rotten. 197 00:11:13,720 --> 00:11:17,120 Speaker 1: Little thing in your in your TV and if you 198 00:11:17,240 --> 00:11:19,720 Speaker 1: throw a tomato at it, its senses that. 199 00:11:20,840 --> 00:11:24,120 Speaker 2: Yeah, feel the pressure. Tomatoes fucking rotten as hell. Dog. 200 00:11:24,240 --> 00:11:27,960 Speaker 2: They hate this one is fresh tomato. They love this one. 201 00:11:28,880 --> 00:11:31,560 Speaker 1: That's the that's how we communicate that we love in 202 00:11:31,559 --> 00:11:34,800 Speaker 1: this household. One we Uh, we communicate that we love 203 00:11:34,800 --> 00:11:37,120 Speaker 1: a movie by throwing fresh tomatoes at the television. 204 00:11:38,360 --> 00:11:38,800 Speaker 2: All right. 205 00:11:39,200 --> 00:11:42,400 Speaker 1: Uh we got one in the category of oh you 206 00:11:42,480 --> 00:11:45,040 Speaker 1: thought this was helping. You thought what you were doing 207 00:11:45,160 --> 00:11:49,360 Speaker 1: was helping. It's actually hurting you, fucking idiot. Fuck fourth 208 00:11:49,360 --> 00:11:49,760 Speaker 1: of July. 209 00:11:50,280 --> 00:11:50,480 Speaker 2: Uh. 210 00:11:50,559 --> 00:11:54,120 Speaker 1: There, there's a new report out of Ansis, which is 211 00:11:54,160 --> 00:11:59,640 Speaker 1: a French outlet, that microplastics are present in all beverages, 212 00:12:00,040 --> 00:12:04,480 Speaker 1: but those packaged in glass bottles contain more microplastic particles 213 00:12:04,520 --> 00:12:07,520 Speaker 1: than those in plastic bottles, cartons, or cans, which is 214 00:12:07,720 --> 00:12:12,240 Speaker 1: I think it's part of a genre of story I'll 215 00:12:12,240 --> 00:12:15,040 Speaker 1: group it with the genre of story of oh you 216 00:12:15,080 --> 00:12:19,480 Speaker 1: thought recycling was good, you thought recycling actually helped. It 217 00:12:19,559 --> 00:12:25,360 Speaker 1: actually fucking hurts you, idiot, which I think in both 218 00:12:25,400 --> 00:12:29,360 Speaker 1: cases these stories, I don't think they're designed. 219 00:12:29,559 --> 00:12:30,800 Speaker 2: It's designed to happen this way. 220 00:12:30,840 --> 00:12:33,600 Speaker 1: I think it just unintentionally works out this way, which 221 00:12:33,679 --> 00:12:35,920 Speaker 1: like tends to be how things work with like power 222 00:12:35,920 --> 00:12:40,920 Speaker 1: and money. But like the powerful people with money are 223 00:12:40,960 --> 00:12:45,480 Speaker 1: in control of both, like creating the crisis and then 224 00:12:46,080 --> 00:12:50,400 Speaker 1: the response to the crisis, right, and so they created 225 00:12:50,440 --> 00:12:54,480 Speaker 1: the fact that like microplastics are everywhere and then and 226 00:12:54,520 --> 00:12:57,600 Speaker 1: they created like just the massive amounts of pollution and shit, 227 00:12:57,800 --> 00:13:05,160 Speaker 1: and then they created recycling, and they created glass water bottles. 228 00:13:05,200 --> 00:13:08,560 Speaker 1: We'll save you from having microplastic, you know, that narrative. 229 00:13:09,080 --> 00:13:13,480 Speaker 1: And unfortunately, because they do, they do a like a 230 00:13:13,559 --> 00:13:16,920 Speaker 1: whole assed job of destroying the environment because that's what's 231 00:13:16,960 --> 00:13:19,880 Speaker 1: profitable and like the easiest thing to do. But they 232 00:13:19,920 --> 00:13:24,040 Speaker 1: do an incredibly half asked job of like the problem mitigation, 233 00:13:24,600 --> 00:13:29,360 Speaker 1: you know, and so they don't bother. For instance, the 234 00:13:29,679 --> 00:13:35,680 Speaker 1: like story that recycling is not that helpful actually is 235 00:13:36,480 --> 00:13:39,480 Speaker 1: true as far as I've been able to research, But 236 00:13:39,600 --> 00:13:44,120 Speaker 1: it's true because nobody has bothered to put any funding 237 00:13:44,280 --> 00:13:47,559 Speaker 1: behind like the sorting of garbage, which is like the 238 00:13:47,760 --> 00:13:51,000 Speaker 1: thing that would help, you know, it would just be 239 00:13:51,080 --> 00:13:55,600 Speaker 1: like if you could somehow make it profitable for people 240 00:13:55,880 --> 00:14:00,480 Speaker 1: to like bring the environment back into order through cycling, 241 00:14:01,520 --> 00:14:05,120 Speaker 1: we would have had this solved two decades ago. But instead, 242 00:14:05,160 --> 00:14:07,600 Speaker 1: I feel like the way that the story comes to 243 00:14:07,679 --> 00:14:11,160 Speaker 1: us is we can't fucking do anything right, you know, 244 00:14:11,440 --> 00:14:13,040 Speaker 1: and you're just like it comes to you in a 245 00:14:13,040 --> 00:14:14,960 Speaker 1: way that you're just like, oh, I fucking give up, 246 00:14:15,120 --> 00:14:17,640 Speaker 1: Like I'm not going to try anything, and that's unfortunate 247 00:14:17,679 --> 00:14:20,640 Speaker 1: that it's just the byproduct of the people in power 248 00:14:21,440 --> 00:14:25,480 Speaker 1: having like having a monopoly on both the problem creation 249 00:14:25,760 --> 00:14:30,440 Speaker 1: and problem mitigation, you know, things that we try, and 250 00:14:30,600 --> 00:14:34,680 Speaker 1: they don't actually put any thought or money or energy 251 00:14:34,720 --> 00:14:37,960 Speaker 1: into solving the problems. They just create a pr campaign 252 00:14:38,040 --> 00:14:40,640 Speaker 1: to be like, and we solve that one. Don't worry 253 00:14:40,680 --> 00:14:43,000 Speaker 1: about it, don't look over here anymore, leave us alone. 254 00:14:43,160 --> 00:14:45,479 Speaker 2: It's kind of like when you know, the Bush administration 255 00:14:45,680 --> 00:14:47,640 Speaker 2: is like, Okay, take off your shoes when you go 256 00:14:47,680 --> 00:14:51,480 Speaker 2: through airport security because they did nine to eleven, and right, 257 00:14:51,600 --> 00:14:54,160 Speaker 2: that's basically what it is. They caused the problem. They 258 00:14:54,160 --> 00:14:55,720 Speaker 2: did that, And it's like, oh, I was taking off 259 00:14:55,720 --> 00:14:57,520 Speaker 2: your shoes really going to prevent you getting a bomb 260 00:14:57,520 --> 00:15:00,520 Speaker 2: on a plane? No, because it's not done correctly. Is 261 00:15:00,560 --> 00:15:02,200 Speaker 2: that is that basically what you're saying, that they could 262 00:15:02,240 --> 00:15:05,320 Speaker 2: actually look in your shoes because George Bush did nine eleven. 263 00:15:05,360 --> 00:15:07,880 Speaker 2: I'm just I'm confused with your with your now that 264 00:15:07,920 --> 00:15:11,120 Speaker 2: it's actually is that what it is with my analogy? Yes, 265 00:15:11,160 --> 00:15:14,040 Speaker 2: your analogy was opaque and I'm trying to clean it 266 00:15:14,120 --> 00:15:14,840 Speaker 2: up a little. 267 00:15:14,640 --> 00:15:18,840 Speaker 1: Bit with the audience with I know you think that's 268 00:15:18,840 --> 00:15:21,600 Speaker 1: a good yeah, a good example of problem mitigation that 269 00:15:21,880 --> 00:15:27,000 Speaker 1: uh didn't really save us from much because the shoe bombs. 270 00:15:27,200 --> 00:15:28,840 Speaker 1: Do you remember did you ever see what the shoe 271 00:15:28,840 --> 00:15:32,600 Speaker 1: bomb looked like? The so embarrassing it was, so it 272 00:15:32,640 --> 00:15:36,320 Speaker 1: was wiley coyote if he was like drunk like it was. 273 00:15:36,600 --> 00:15:39,600 Speaker 1: It had like lit like you had to light the 274 00:15:39,640 --> 00:15:41,640 Speaker 1: back of the shoes to get them to blow up. 275 00:15:41,680 --> 00:15:43,640 Speaker 1: But anyways, it was very silly. 276 00:15:43,800 --> 00:15:46,360 Speaker 2: No, I I agree with you, like on an emotional standpoint, 277 00:15:46,400 --> 00:15:49,400 Speaker 2: I think that's it's it's not the biggest tragedy of it, 278 00:15:49,400 --> 00:15:52,160 Speaker 2: but it's such like a sad byproduct where we are 279 00:15:52,240 --> 00:15:55,160 Speaker 2: trying where it's like I am, you know, not that 280 00:15:55,240 --> 00:15:58,240 Speaker 2: you're you know, working in a coal mine, but it's like, oh, 281 00:15:58,320 --> 00:16:01,720 Speaker 2: I'm separating my trash, I'm trying ying, so like I'm trying, 282 00:16:02,040 --> 00:16:05,080 Speaker 2: you know, and then you blame yourself when in reality, 283 00:16:05,120 --> 00:16:08,600 Speaker 2: these corporations are just stacked everything against you in such 284 00:16:08,640 --> 00:16:11,600 Speaker 2: a way, and not only have they fucked the environment up, 285 00:16:11,840 --> 00:16:15,080 Speaker 2: they're blaming it on you as well, you know, or 286 00:16:15,080 --> 00:16:17,640 Speaker 2: they're making you blame yourself. It's just such a bummer. 287 00:16:17,720 --> 00:16:19,760 Speaker 1: So just making it all seem like nothing can be 288 00:16:19,840 --> 00:16:22,840 Speaker 1: done because nothing is being done, and either nothing is 289 00:16:22,840 --> 00:16:25,080 Speaker 1: being done is because they're not doing it, and they 290 00:16:25,160 --> 00:16:28,520 Speaker 1: both solve the problem problem and they've also you know, 291 00:16:28,600 --> 00:16:31,240 Speaker 1: concentrated wealth to such a degree that they're the only 292 00:16:31,240 --> 00:16:34,800 Speaker 1: ones who have the ability to address the problem and they're. 293 00:16:34,600 --> 00:16:38,880 Speaker 2: Just not going to the CEO. Become a CEO, and 294 00:16:38,920 --> 00:16:40,520 Speaker 2: then you can and then you can help. 295 00:16:40,640 --> 00:16:42,320 Speaker 1: I do think like when you look at the stories 296 00:16:42,360 --> 00:16:45,520 Speaker 1: of how people become CEOs and how that whole world operates, 297 00:16:45,880 --> 00:16:49,800 Speaker 1: like one of the most important things to do is 298 00:16:50,360 --> 00:16:55,920 Speaker 1: like do something awful and like not tell anyone that's 299 00:16:56,000 --> 00:16:58,680 Speaker 1: like you know what I mean. It's like and that's 300 00:16:58,720 --> 00:17:00,280 Speaker 1: how we know we can trust you. It's like how 301 00:17:00,280 --> 00:17:02,320 Speaker 1: the mafia would operate too. It's like, yeah, well this 302 00:17:02,360 --> 00:17:04,240 Speaker 1: person needs to kill someone so we know that they're 303 00:17:04,280 --> 00:17:06,199 Speaker 1: like with us and they're not going to turn on 304 00:17:06,280 --> 00:17:09,080 Speaker 1: us or like turn you know. Like I think that's 305 00:17:09,119 --> 00:17:13,439 Speaker 1: where I think that's a lot of the half the 306 00:17:13,520 --> 00:17:17,320 Speaker 1: battle of becoming rich and powerful is like I'm always 307 00:17:17,400 --> 00:17:22,200 Speaker 1: in my reading mostly picture books and comic books of 308 00:17:23,800 --> 00:17:31,040 Speaker 1: historical research, historical picture books, I'm always unsurprised, like all 309 00:17:31,080 --> 00:17:34,280 Speaker 1: of the like nakedly evil shit that's being done by 310 00:17:34,400 --> 00:17:37,200 Speaker 1: the wealthy and powerful. It's always like, oh, man, that's 311 00:17:37,240 --> 00:17:40,159 Speaker 1: even worse than I thought. And then all the stuff 312 00:17:40,160 --> 00:17:42,600 Speaker 1: that we actually hear about, it's like, oh, that was 313 00:17:42,640 --> 00:17:46,080 Speaker 1: overblown and sensationalized. But like the stuff that the evil 314 00:17:46,200 --> 00:17:49,480 Speaker 1: people are. They tried to overthrow FDR and like have 315 00:17:49,600 --> 00:17:54,120 Speaker 1: him killed by military general because they wanted to do fascism, 316 00:17:54,400 --> 00:17:57,080 Speaker 1: like during the Rise of Hitler. 317 00:17:57,440 --> 00:18:00,359 Speaker 2: Like this's looking crazy. Oh my god. I thought I 318 00:18:00,400 --> 00:18:03,359 Speaker 2: was making a hyperbolic joke, but in reality it's so 319 00:18:03,520 --> 00:18:07,200 Speaker 2: much worse. It's like, Okay, go to Wharton, have an 320 00:18:07,240 --> 00:18:10,240 Speaker 2: evil father, poison a village. You have to poison a 321 00:18:10,320 --> 00:18:14,160 Speaker 2: village at some point, we do give polio, Like those 322 00:18:14,200 --> 00:18:16,240 Speaker 2: are the ways that you're going to become successful and 323 00:18:16,240 --> 00:18:19,080 Speaker 2: try to overthrow the man. Yeah, that's right. Let's take 324 00:18:19,080 --> 00:18:33,160 Speaker 2: a quick break. We'll be right back and we're back. Hi, Hi, 325 00:18:33,760 --> 00:18:37,439 Speaker 2: going on, Hi, Good morning, good morning, Good morrow to you. 326 00:18:38,240 --> 00:18:40,240 Speaker 1: Blake and I just slept eight hours in between. Yeah, 327 00:18:40,280 --> 00:18:43,200 Speaker 1: I first act in this act terrible. Oh my god, 328 00:18:43,359 --> 00:18:47,600 Speaker 1: what were we talking about last night? Oh, fraggle rock? 329 00:18:48,840 --> 00:18:51,600 Speaker 1: Did we create a concert? Do we play fraggle rock? 330 00:18:51,920 --> 00:18:54,000 Speaker 2: Smoked a couple of fraggle rocks. You know what I'm saying. 331 00:18:54,000 --> 00:18:57,960 Speaker 2: That's that's right. I don't even know what I'm saying. Uh, 332 00:18:58,080 --> 00:19:01,120 Speaker 2: let's talk. Let's talk about something stupid. 333 00:19:01,359 --> 00:19:03,200 Speaker 1: I think the last Act if I can remember, eight 334 00:19:03,200 --> 00:19:07,200 Speaker 1: hours ago, we were talking about how wealthy people are 335 00:19:07,200 --> 00:19:08,439 Speaker 1: destroying the world and not doing. 336 00:19:08,320 --> 00:19:08,959 Speaker 2: Shit about it. 337 00:19:09,240 --> 00:19:16,240 Speaker 1: Let's talk about a camper in British Columbia who was 338 00:19:16,760 --> 00:19:20,280 Speaker 1: all right, so I'll tell this like a mystery. Two 339 00:19:20,400 --> 00:19:25,040 Speaker 1: hikers hiking near something called. 340 00:19:25,680 --> 00:19:33,160 Speaker 2: The Atlantic Ocean. You don't know that. That can't be right. 341 00:19:33,560 --> 00:19:38,480 Speaker 1: It is the Atlantic near the Boulder Fields in Vancouver, 342 00:19:38,520 --> 00:19:42,320 Speaker 1: British Columbia, heard what they thought was a distressed call 343 00:19:42,440 --> 00:19:46,959 Speaker 1: for help. Heard someone like bellowing screeching, and they were like, wait, listen, 344 00:19:47,080 --> 00:19:49,880 Speaker 1: there it is again. They couldn't quite like figure out 345 00:19:50,280 --> 00:19:53,040 Speaker 1: where it was coming from. It couldn't quite hear what 346 00:19:53,119 --> 00:19:58,840 Speaker 1: it was. They reached out to the authorities, who sent 347 00:19:58,920 --> 00:20:08,960 Speaker 1: out mount They sent to other whatever, yeah, unmountains, strolleys 348 00:20:09,000 --> 00:20:16,119 Speaker 1: and flyes a drones to like sweep this whole park, 349 00:20:16,880 --> 00:20:21,440 Speaker 1: this whole natural park, to see like where this person 350 00:20:21,520 --> 00:20:22,439 Speaker 1: was who was badly wounded. 351 00:20:22,880 --> 00:20:24,480 Speaker 2: And I'm just gonna. 352 00:20:24,240 --> 00:20:30,439 Speaker 1: Read from this post from Central Okanagan Search and Rescue said, 353 00:20:30,560 --> 00:20:34,439 Speaker 1: we found him alone camper singing his heart out to 354 00:20:34,600 --> 00:20:39,000 Speaker 1: the trees, blissfully unaware that the acoustics of the Boulder 355 00:20:39,040 --> 00:20:43,600 Speaker 1: fields had turned his tent side concert into an accidental 356 00:20:43,640 --> 00:20:47,399 Speaker 1: distress signal. Why'd they just like turn so like turned 357 00:20:47,400 --> 00:20:50,159 Speaker 1: it into TMZ in the middle of his statement he 358 00:20:50,320 --> 00:20:53,720 Speaker 1: wasn't in trouble unless you count as singing. That's literally 359 00:20:53,760 --> 00:20:57,280 Speaker 1: from the quote. They literally like took a moment to 360 00:20:57,440 --> 00:20:58,840 Speaker 1: just burn this motherfucker. 361 00:20:58,840 --> 00:21:01,399 Speaker 2: Who also must be I mean, I don't know. 362 00:21:01,400 --> 00:21:04,399 Speaker 1: If somebody's like out of nature, they're probably like giving 363 00:21:04,800 --> 00:21:07,560 Speaker 1: the double rainbow guy, you know, Like, do you remember 364 00:21:07,560 --> 00:21:08,560 Speaker 1: that guy who's. 365 00:21:08,359 --> 00:21:11,240 Speaker 2: Like, oh my god, a double roombo It sounds like 366 00:21:11,280 --> 00:21:13,240 Speaker 2: the habbiest person in the entire world. 367 00:21:13,640 --> 00:21:16,560 Speaker 1: Possibly, yeah, Or it could just be somebody who is like, 368 00:21:17,280 --> 00:21:22,720 Speaker 1: I love singing, but I'm so humiliated by my singing voice. 369 00:21:23,280 --> 00:21:25,439 Speaker 1: Might be beautiful, might not. I just don't have the 370 00:21:25,480 --> 00:21:27,840 Speaker 1: courage to sing in front of people. I'm going to 371 00:21:27,880 --> 00:21:31,520 Speaker 1: go to the most remote location that I could possibly 372 00:21:31,560 --> 00:21:37,000 Speaker 1: imagine to sing alone where nobody can hear me, nobody 373 00:21:37,000 --> 00:21:39,840 Speaker 1: will hear me nobody will be affected by my singing. 374 00:21:40,359 --> 00:21:45,600 Speaker 1: And then there's like an entire squadron of like drones, 375 00:21:46,200 --> 00:21:50,960 Speaker 1: people on horseback, search and rescue people rolling up and 376 00:21:51,000 --> 00:21:54,840 Speaker 1: then just like fucking roasting him to the national media. 377 00:21:55,200 --> 00:21:58,960 Speaker 2: It's so devastating because it's like, Okay, so my voice 378 00:21:59,280 --> 00:22:02,480 Speaker 2: is so bad that people you have you got to 379 00:22:02,520 --> 00:22:06,199 Speaker 2: be pretty sure that a horrific occurrence is happening to 380 00:22:06,280 --> 00:22:10,240 Speaker 2: bring in all these like cops and like call the authorities. 381 00:22:10,560 --> 00:22:13,600 Speaker 2: And his voice is so bad that people are like 382 00:22:13,760 --> 00:22:16,359 Speaker 2: that is one hundred percent someone dying or someone in 383 00:22:16,680 --> 00:22:19,040 Speaker 2: very big trouble, So we're going to call them in. 384 00:22:19,320 --> 00:22:21,359 Speaker 2: I like the idea of him singing like Papa Roach 385 00:22:21,520 --> 00:22:27,440 Speaker 2: or something. It actually was really scarab wo fuck no, wait, 386 00:22:27,480 --> 00:22:31,120 Speaker 2: that's disturbed. That's disturbed Jack, get your get your bad 387 00:22:31,240 --> 00:22:34,439 Speaker 2: music straight. That's why that is definitely popper Roach. I 388 00:22:34,480 --> 00:22:41,240 Speaker 2: regret down with the sickness. Isn't that disturbed Roach? Also 389 00:22:41,359 --> 00:22:45,280 Speaker 2: is you might not have realized that, and also Disturbed 390 00:22:45,760 --> 00:22:48,240 Speaker 2: and the limp Biscuit and yeah, there are part of 391 00:22:48,240 --> 00:22:52,399 Speaker 2: the same band Puddle of Mud. Now there's a band 392 00:22:54,800 --> 00:23:02,080 Speaker 2: band just called Sack of Ship, a loose description of 393 00:23:02,119 --> 00:23:08,080 Speaker 2: the after effects of diarrhea, empty bank account. It's just 394 00:23:11,840 --> 00:23:14,120 Speaker 2: all right, we have an AI update. 395 00:23:14,760 --> 00:23:17,240 Speaker 1: Uh, you know, we've been we talk a lot of 396 00:23:17,280 --> 00:23:21,800 Speaker 1: trash about AI on this not we're not talking trash necessarily. 397 00:23:21,800 --> 00:23:24,800 Speaker 1: We're just reporting on what is happening, and we're looking 398 00:23:25,160 --> 00:23:28,159 Speaker 1: for the good stuff, you know, and we. 399 00:23:28,280 --> 00:23:29,640 Speaker 2: Have talked about like they're there. 400 00:23:30,240 --> 00:23:33,120 Speaker 1: AI appears to be fun to play with, like when 401 00:23:33,280 --> 00:23:38,800 Speaker 1: incorporated into video games. Uh, people seem to enjoy talking 402 00:23:38,840 --> 00:23:40,320 Speaker 1: to chat GPT. 403 00:23:40,840 --> 00:23:42,040 Speaker 2: I don't know if that's good. 404 00:23:42,080 --> 00:23:45,640 Speaker 1: Sometimes it makes them want like want to kill their 405 00:23:45,920 --> 00:23:49,840 Speaker 1: spouse and like sort a cult, but it, you know, 406 00:23:50,280 --> 00:23:52,600 Speaker 1: fun to play with seems to be one of the 407 00:23:52,600 --> 00:23:58,600 Speaker 1: things I'd put in AI's pro I think there's a 408 00:23:58,640 --> 00:24:03,439 Speaker 1: Thomas middle Ditch, that improviser guy from Silcon Valley. He 409 00:24:03,440 --> 00:24:06,120 Speaker 1: has a podcast where he like improvises and like does 410 00:24:06,160 --> 00:24:09,919 Speaker 1: funny stuff with AI that I saw a clip of 411 00:24:10,119 --> 00:24:11,359 Speaker 1: and I was like, that's weird. 412 00:24:12,160 --> 00:24:14,680 Speaker 2: Again. Appears to be fun. He appears to be having 413 00:24:14,680 --> 00:24:17,720 Speaker 2: fun playing with that thing. Now. 414 00:24:17,880 --> 00:24:22,280 Speaker 1: Now, this, on the other hand, is where it seems 415 00:24:22,400 --> 00:24:28,199 Speaker 1: less successful, which is everything else, literally everything else, like 416 00:24:28,280 --> 00:24:32,280 Speaker 1: when the product of your playing with it is important 417 00:24:32,440 --> 00:24:33,240 Speaker 1: and needs. 418 00:24:32,960 --> 00:24:37,119 Speaker 2: To be good. It's not. It hasn't been going so well. 419 00:24:37,680 --> 00:24:41,600 Speaker 1: Like when wait, like it'll it'll give you the experience 420 00:24:41,640 --> 00:24:46,399 Speaker 1: of doing research and making that research easy, like in 421 00:24:46,440 --> 00:24:49,080 Speaker 1: that super Bowl commercial where the guy's like, I can't 422 00:24:49,280 --> 00:24:53,000 Speaker 1: read or write for shit, I'm a dairy farmer. But 423 00:24:53,359 --> 00:24:56,600 Speaker 1: this helped me do marketing and like do the cheese 424 00:24:56,680 --> 00:25:00,439 Speaker 1: research that I needed to do. He seemed happy, He 425 00:25:00,480 --> 00:25:04,240 Speaker 1: seemed like a very satisfied customer. It just so happened 426 00:25:04,240 --> 00:25:07,560 Speaker 1: that the research that I did that they quoted in 427 00:25:07,600 --> 00:25:12,479 Speaker 1: the super Bowl commercial said that Gouda cheese is the 428 00:25:12,480 --> 00:25:15,320 Speaker 1: most popular cheese on the planet and responsible for sixty 429 00:25:15,359 --> 00:25:20,399 Speaker 1: percent of cheese consumption worldwide, which is both not true 430 00:25:20,480 --> 00:25:22,120 Speaker 1: and like obviously not true. 431 00:25:22,160 --> 00:25:24,480 Speaker 2: Yeah, that's wrong. That I know is wrong. That's wrong. 432 00:25:24,480 --> 00:25:24,679 Speaker 1: I know. 433 00:25:24,720 --> 00:25:25,639 Speaker 2: It's impossible. 434 00:25:25,680 --> 00:25:28,879 Speaker 1: Fun fun and fun to play with and especially like 435 00:25:29,160 --> 00:25:31,840 Speaker 1: seems promising when you're playing with it, and like therefore 436 00:25:31,880 --> 00:25:34,919 Speaker 1: fun the results are bad so far, is what we 437 00:25:34,920 --> 00:25:39,879 Speaker 1: could tell. Anyways, the sphere you may know from we've 438 00:25:39,880 --> 00:25:41,680 Speaker 1: talked about it before when we were in Las Vegas. 439 00:25:41,920 --> 00:25:46,359 Speaker 1: The spular thing, that's right, he got it. Yeah, big 440 00:25:46,400 --> 00:25:49,400 Speaker 1: circle in on the Vegas skyline. Very weird to look 441 00:25:49,440 --> 00:25:52,760 Speaker 1: at because there's so many LED lights that it is 442 00:25:53,080 --> 00:25:57,080 Speaker 1: delivered to you in high resolution no matter where you are, 443 00:25:57,760 --> 00:26:02,040 Speaker 1: and so like when we were there for NBA Summer League, 444 00:26:02,480 --> 00:26:06,040 Speaker 1: there was just like a hazy Las Vegas skyline on 445 00:26:06,080 --> 00:26:09,960 Speaker 1: the horizon and then a like bright full definition basketball 446 00:26:10,119 --> 00:26:13,120 Speaker 1: just like floating in the middle distance for easy. Yeah, 447 00:26:13,119 --> 00:26:15,560 Speaker 1: this fear is very weird. I took my kids to 448 00:26:15,560 --> 00:26:19,479 Speaker 1: see a nature documentary there. I was like, this is cool, 449 00:26:19,640 --> 00:26:23,480 Speaker 1: Like this screen is big and like there's it's a 450 00:26:23,640 --> 00:26:29,159 Speaker 1: it's a weird fun experience. It is a movie ticket 451 00:26:29,200 --> 00:26:33,560 Speaker 1: that costs what a concert ticket would cost, so for 452 00:26:33,840 --> 00:26:38,280 Speaker 1: I cannot recommend it on that basis. It also like 453 00:26:38,359 --> 00:26:40,760 Speaker 1: has a weird thing like AI display in the in 454 00:26:40,840 --> 00:26:46,200 Speaker 1: the lobby where there's like these robots that are clearly 455 00:26:46,280 --> 00:26:49,080 Speaker 1: just being controlled by someone, but like people are interacting 456 00:26:49,119 --> 00:26:51,840 Speaker 1: with the robot and they're like, robot, am I going 457 00:26:51,880 --> 00:26:55,040 Speaker 1: to make what should my lottery numbers be? It's like 458 00:26:55,080 --> 00:26:58,040 Speaker 1: a Zoltar thing, but with an AI scan off with 459 00:26:58,119 --> 00:27:01,280 Speaker 1: more money behind it, right yeah that but yeah, but 460 00:27:01,440 --> 00:27:04,920 Speaker 1: still a trick still like the same old mechanical turch shit. Anyways, 461 00:27:05,680 --> 00:27:09,639 Speaker 1: so they are trying to find other ways to you know, 462 00:27:10,200 --> 00:27:14,600 Speaker 1: sell people tickets, and like the cheapest, best, most cost 463 00:27:14,600 --> 00:27:16,800 Speaker 1: effective way to do that is show them a movie 464 00:27:18,119 --> 00:27:22,560 Speaker 1: that you know, again you charge concert venue tickets for 465 00:27:22,680 --> 00:27:25,520 Speaker 1: a movie. And so they have announced that they are 466 00:27:25,640 --> 00:27:31,080 Speaker 1: going to be showing a Wizard of Oz, which is 467 00:27:31,119 --> 00:27:36,080 Speaker 1: a movie that was not originally made for the Las 468 00:27:36,200 --> 00:27:40,320 Speaker 1: Vegas Sphere. You may remember it was made in nineteen 469 00:27:40,400 --> 00:27:44,840 Speaker 1: thirty nine, which pre dated priest sphere. Yeah, pre sphere, 470 00:27:45,080 --> 00:27:50,200 Speaker 1: I believe, like a definitively pre sphere. And so you 471 00:27:50,280 --> 00:27:54,159 Speaker 1: might be wondering, well, how they do that, and the answer, 472 00:27:54,160 --> 00:27:54,920 Speaker 1: of course is AI. 473 00:27:55,400 --> 00:28:00,000 Speaker 2: Yes, yes, this is the promise. They are finally delivered 474 00:28:00,119 --> 00:28:01,680 Speaker 2: on their promise. This is what it's for. 475 00:28:02,560 --> 00:28:06,160 Speaker 1: Uh so, yeah, they've they've upscaled it to fit the 476 00:28:06,200 --> 00:28:09,240 Speaker 1: massive screen. That is what the sphere is is just 477 00:28:09,280 --> 00:28:12,440 Speaker 1: a very very very big and high definition screen. AI 478 00:28:12,560 --> 00:28:16,640 Speaker 1: upscaling has been used, has been done quite a bit. 479 00:28:17,160 --> 00:28:19,760 Speaker 1: There's a famous image that you can find on the 480 00:28:19,800 --> 00:28:23,679 Speaker 1: internet from I Love Lucy where they sharpened the face 481 00:28:23,720 --> 00:28:25,720 Speaker 1: of background actors and. 482 00:28:28,160 --> 00:28:32,960 Speaker 2: How do you describe the fuck is going on this person? 483 00:28:37,680 --> 00:28:42,960 Speaker 1: It looks like the background characters go from being blurry 484 00:28:43,520 --> 00:28:47,040 Speaker 1: out of focused background characters, which you know that what 485 00:28:47,080 --> 00:28:50,120 Speaker 1: they were meant to be by the filmmaker to portray 486 00:28:50,200 --> 00:28:52,880 Speaker 1: depth and to keep the focus on the foreground actor. Uh, 487 00:28:53,160 --> 00:28:58,160 Speaker 1: to something that looks like, uh, it would be right 488 00:28:58,200 --> 00:29:01,600 Speaker 1: at home in the VHS from the Ring, like just 489 00:29:01,640 --> 00:29:06,520 Speaker 1: a very strange like blurry but then like kind of 490 00:29:06,600 --> 00:29:12,720 Speaker 1: a a face emerging from inside the blurriness thing. Google 491 00:29:12,840 --> 00:29:16,800 Speaker 1: used generative AI models like this from its Gemini family too, 492 00:29:17,600 --> 00:29:21,560 Speaker 1: so they, among other things, they had to like sharpen 493 00:29:21,800 --> 00:29:25,480 Speaker 1: the resolution so that you know, they could blow the 494 00:29:25,520 --> 00:29:29,800 Speaker 1: image up, but then they also had to expand the 495 00:29:31,160 --> 00:29:36,200 Speaker 1: frame and like add characters to the side. So like 496 00:29:36,760 --> 00:29:39,200 Speaker 1: all those decisions that a filmmaker makes of like what 497 00:29:39,280 --> 00:29:42,720 Speaker 1: goes inside the shot, they're just like let the AI 498 00:29:43,000 --> 00:29:43,840 Speaker 1: handle that. 499 00:29:45,000 --> 00:29:48,800 Speaker 2: Leave it to the experts artificial intelligence. Yes, there's no 500 00:29:48,920 --> 00:29:50,960 Speaker 2: read for no need for a director anymore. 501 00:29:51,480 --> 00:29:54,640 Speaker 1: Right, So the aspect ratio of the movie had to 502 00:29:54,680 --> 00:30:00,600 Speaker 1: be radically altered. The film grain has been totally eliminated. Uh, 503 00:30:00,680 --> 00:30:05,440 Speaker 1: And the backgrounds that they've showed are like they just 504 00:30:05,720 --> 00:30:09,280 Speaker 1: look like AI generated garbage. Like there's this one shot 505 00:30:09,320 --> 00:30:13,200 Speaker 1: of Dorothy's face that they've released with a background that 506 00:30:13,320 --> 00:30:17,160 Speaker 1: just looks like a fucking sidewalk with like grass next 507 00:30:17,200 --> 00:30:19,440 Speaker 1: to it, like a photograph that they've taken. Like it 508 00:30:19,520 --> 00:30:22,520 Speaker 1: just looks like someone copy and pasted a Wizard of 509 00:30:22,520 --> 00:30:28,120 Speaker 1: Oz character in the concept art from Willie's Chocolate Experience. 510 00:30:28,560 --> 00:30:31,400 Speaker 2: You know, it's nothing, it's absolutely nothing. 511 00:30:31,800 --> 00:30:35,120 Speaker 1: Yeah, that like AI bullshit thing that they did last year, 512 00:30:36,080 --> 00:30:38,520 Speaker 1: that that's kind of what it looks like. 513 00:30:40,120 --> 00:30:42,960 Speaker 2: It's gonna look weird as hell. Like the Isle of 514 00:30:43,120 --> 00:30:46,040 Speaker 2: Lucy thing is so upsetting where I just looked up 515 00:30:46,120 --> 00:30:48,160 Speaker 2: like one of the like a photo. It's you can 516 00:30:48,200 --> 00:30:51,680 Speaker 2: almost predict. It's like, oh, all these people were dead, 517 00:30:51,840 --> 00:30:54,400 Speaker 2: Like it's like they're dead people in the background, like 518 00:30:54,440 --> 00:30:58,719 Speaker 2: people who it's that AI thing where it's it's not 519 00:30:58,960 --> 00:31:00,960 Speaker 2: really it's like I don't know, Oh, I've never seen 520 00:31:01,000 --> 00:31:04,520 Speaker 2: something fucked up in this particular way before. It way 521 00:31:04,640 --> 00:31:06,040 Speaker 2: kind of makes up right. 522 00:31:06,200 --> 00:31:09,680 Speaker 1: It makes your brain like start asking questions that your 523 00:31:09,720 --> 00:31:12,800 Speaker 1: brand was never supposed to ask, such as what the 524 00:31:12,800 --> 00:31:13,880 Speaker 1: fuck am I looking at? 525 00:31:14,680 --> 00:31:18,040 Speaker 2: Yeah? Yeah, where generally it's like, Okay, I know, maybe 526 00:31:18,080 --> 00:31:22,200 Speaker 2: the camera's out of focus here, or someone walked by 527 00:31:22,320 --> 00:31:24,320 Speaker 2: the camera and that's why it looks weird, but it's 528 00:31:24,360 --> 00:31:27,640 Speaker 2: like this didn't need to look weird. This was fine 529 00:31:27,720 --> 00:31:30,600 Speaker 2: not looking weird, and then you made it look weird. Yeah. 530 00:31:30,760 --> 00:31:36,640 Speaker 1: The other thing that they're doing is expanding the frame, 531 00:31:37,080 --> 00:31:41,680 Speaker 1: so like there's this one shot that original film sphere 532 00:31:41,800 --> 00:31:46,240 Speaker 1: experience that like they showed this off. By the way, 533 00:31:46,280 --> 00:31:49,840 Speaker 1: this cost eighty million dollars the price of like a 534 00:31:50,040 --> 00:31:56,400 Speaker 1: very expensive like feature film to do this, to expand it, 535 00:31:56,880 --> 00:31:59,640 Speaker 1: and they showed it off on like CBS Good Morning 536 00:31:59,720 --> 00:32:01,120 Speaker 1: or some other news. 537 00:32:01,400 --> 00:32:04,480 Speaker 2: Product for good Morning. By the way, I just want 538 00:32:04,520 --> 00:32:06,520 Speaker 2: to say that, Yeah. 539 00:32:06,160 --> 00:32:10,800 Speaker 1: It h it like shows the original film, which has 540 00:32:10,880 --> 00:32:13,760 Speaker 1: like three characters in the middle, like right after Toto, 541 00:32:14,800 --> 00:32:18,000 Speaker 1: Like I don't know why I pronounced that Toto. I 542 00:32:18,040 --> 00:32:21,040 Speaker 1: think I was thinking to too, like almost bites the 543 00:32:21,040 --> 00:32:24,040 Speaker 1: woman who is like the wicked witch in never never Land. 544 00:32:24,480 --> 00:32:28,800 Speaker 2: That's not and in Oz. I don't know what corrected you. 545 00:32:29,200 --> 00:32:30,479 Speaker 2: I never would have corrected you. 546 00:32:30,760 --> 00:32:33,120 Speaker 1: They expanded out so that you can see the whole 547 00:32:33,240 --> 00:32:36,280 Speaker 1: room and there's just like a shelf in the corner, 548 00:32:37,000 --> 00:32:41,160 Speaker 1: and like the uncle character is just like standing next 549 00:32:41,160 --> 00:32:43,760 Speaker 1: to a door looking at his dick, like just like 550 00:32:44,120 --> 00:32:47,160 Speaker 1: looking that that's the one thing that I've noticed AI 551 00:32:47,280 --> 00:32:50,840 Speaker 1: has real trouble with, because there was also this really 552 00:32:50,840 --> 00:32:53,800 Speaker 1: depressing New York Times just like yeah, he's just over there, 553 00:32:53,840 --> 00:32:57,680 Speaker 1: dick gazing, just looking down at his dick. There's this 554 00:32:57,720 --> 00:33:00,840 Speaker 1: New York Times article about a woman who is using 555 00:33:00,880 --> 00:33:05,520 Speaker 1: AI to help with her like manifesting. She's like, you know, 556 00:33:06,040 --> 00:33:09,080 Speaker 1: my mom, like read me the secret about how like 557 00:33:09,160 --> 00:33:10,760 Speaker 1: you just like think about what you want to become, 558 00:33:11,040 --> 00:33:13,440 Speaker 1: and like AI helps me do that. Like I've created 559 00:33:13,480 --> 00:33:18,160 Speaker 1: these images of myself like on a private jet, and 560 00:33:18,240 --> 00:33:22,040 Speaker 1: I've created this image of myself like as the feature 561 00:33:22,080 --> 00:33:26,040 Speaker 1: as like a ted Talk speaker, and the ted Talk 562 00:33:26,120 --> 00:33:30,400 Speaker 1: image that she's created, she's like standing looking at the camera, 563 00:33:30,600 --> 00:33:35,360 Speaker 1: smiling smugly, and like the audience is packed, but literally 564 00:33:35,400 --> 00:33:38,680 Speaker 1: nobody is looking at her. Like people are just like 565 00:33:38,760 --> 00:33:43,000 Speaker 1: staring in like the wrong direction. Like that they really 566 00:33:43,080 --> 00:33:45,640 Speaker 1: have trouble with, Like Eyeline matches. They're like, we can 567 00:33:45,680 --> 00:33:48,520 Speaker 1: create a whole crowd of people who appear to have 568 00:33:48,600 --> 00:33:51,680 Speaker 1: no idea that what what they're doing there, because that 569 00:33:51,760 --> 00:33:57,440 Speaker 1: would require like artistry and it just isn't necessary. 570 00:33:57,480 --> 00:34:02,800 Speaker 2: Where Like that that image that you showed where from 571 00:34:02,880 --> 00:34:05,880 Speaker 2: where Dorothy's like in her grandmother's home, like no one's 572 00:34:05,920 --> 00:34:09,040 Speaker 2: ever been, like, how does her grandmother decorate her home? 573 00:34:09,280 --> 00:34:12,360 Speaker 2: Because that's really all your there's nothing like moving the 574 00:34:12,440 --> 00:34:16,000 Speaker 2: story along other than other than the perverted uncle in 575 00:34:16,040 --> 00:34:18,400 Speaker 2: the corner of the stereo. But he's a probert towards himself. 576 00:34:18,440 --> 00:34:21,319 Speaker 2: You know, he's his own tangle head. I don't know 577 00:34:21,320 --> 00:34:23,480 Speaker 2: how he's cool. Yeah, well he's cool. I'm sorry, he's 578 00:34:23,480 --> 00:34:25,080 Speaker 2: a cool he's a cool uncle. He's a fun uncle 579 00:34:25,080 --> 00:34:27,799 Speaker 2: because he wears at backward. It's a kanglehead. But it 580 00:34:27,880 --> 00:34:31,319 Speaker 2: really just looks like shit, doesn't add. It's weird. It's 581 00:34:31,360 --> 00:34:35,320 Speaker 2: just weird. I know that's like not a complicated term, 582 00:34:35,400 --> 00:34:38,239 Speaker 2: but it's really the best term to describe what this 583 00:34:38,480 --> 00:34:42,319 Speaker 2: is is bizarre. Weird is the right term. I bet 584 00:34:42,360 --> 00:34:42,919 Speaker 2: it would be. 585 00:34:42,800 --> 00:34:47,719 Speaker 1: Fun like to do like in a photo like in 586 00:34:47,760 --> 00:34:50,040 Speaker 1: a forum month on Reddit, be like use a guy 587 00:34:50,160 --> 00:34:54,200 Speaker 1: to expand the like corners of this shot and like 588 00:34:54,280 --> 00:34:57,680 Speaker 1: put like hide funny stuff in there. That Ye, that 589 00:34:57,719 --> 00:35:01,240 Speaker 1: would be fun to do. It is not a result 590 00:35:01,440 --> 00:35:04,440 Speaker 1: that people are going to want to spend a lot 591 00:35:04,480 --> 00:35:07,200 Speaker 1: of money to then see, and it is not something 592 00:35:07,239 --> 00:35:09,319 Speaker 1: that you should be doing to a classic work of 593 00:35:09,400 --> 00:35:14,239 Speaker 1: cinema that where every square inch of the frame has 594 00:35:14,320 --> 00:35:18,239 Speaker 1: been treated like a painting and like carefully constructed. And 595 00:35:18,280 --> 00:35:20,440 Speaker 1: then you're just like, I don't know, maybe like a 596 00:35:20,480 --> 00:35:23,600 Speaker 1: shelf over here or something. I don't know, man Like 597 00:35:23,880 --> 00:35:28,080 Speaker 1: there's just like a big white wall wall with like 598 00:35:28,120 --> 00:35:30,480 Speaker 1: a an ia shelf next to it. 599 00:35:30,480 --> 00:35:33,560 Speaker 2: It's like, uh, what why is that would be funny 600 00:35:33,719 --> 00:35:36,200 Speaker 2: as a bit where right now on this zoom, I 601 00:35:36,360 --> 00:35:38,960 Speaker 2: see you a microphone when you're back in your square 602 00:35:38,960 --> 00:35:42,200 Speaker 2: background two doors kind of a generic background, and it's like, 603 00:35:42,200 --> 00:35:44,360 Speaker 2: all right, let's see what else is in Jack's space 604 00:35:44,400 --> 00:35:46,839 Speaker 2: and it zooms out and it's just your whole extended 605 00:35:46,880 --> 00:35:50,680 Speaker 2: family watching us through this podcast in silence, just staring 606 00:35:50,680 --> 00:35:55,920 Speaker 2: at their dicks, sorry, at their collective O'Brian dick. So 607 00:35:57,000 --> 00:36:02,080 Speaker 2: that was wouldn't that be funny? On that? That'd be funny? 608 00:36:02,239 --> 00:36:03,480 Speaker 2: Wouldn't that be funny? 609 00:36:03,520 --> 00:36:05,880 Speaker 1: And that would be fun all right, that's all we've 610 00:36:05,920 --> 00:36:09,080 Speaker 1: got time for, folks. Blake, such a pleasure in having 611 00:36:09,080 --> 00:36:11,680 Speaker 1: you as always, such a pleasure. Where can people find you? 612 00:36:11,680 --> 00:36:12,840 Speaker 1: Follow you all that good stuff? 613 00:36:13,000 --> 00:36:16,520 Speaker 2: People can and will find me at Mike Wexler and 614 00:36:17,400 --> 00:36:21,320 Speaker 2: shall On at blic Wexler on all social media On 615 00:36:21,960 --> 00:36:25,240 Speaker 2: August twenty third, I'm going to be in Philly doing 616 00:36:25,600 --> 00:36:28,279 Speaker 2: my show called The Reviews Are In, which is a 617 00:36:28,400 --> 00:36:30,640 Speaker 2: variety show where me and other comics read reviews that 618 00:36:30,640 --> 00:36:34,080 Speaker 2: we've actually left for products and places and they're always insane. 619 00:36:34,200 --> 00:36:36,719 Speaker 2: Audience members can come on stage and read their reviews. 620 00:36:36,880 --> 00:36:40,879 Speaker 2: So if you saw me, why invited, whether they're when 621 00:36:40,920 --> 00:36:44,440 Speaker 2: you receive a good stock card that I will mail 622 00:36:44,520 --> 00:36:47,719 Speaker 2: you months. I guess months. It's too late. But if 623 00:36:47,719 --> 00:36:50,040 Speaker 2: you saw me in Philly last Friday, first of all, 624 00:36:50,120 --> 00:36:52,239 Speaker 2: thank you, and then second of all, this show will 625 00:36:52,239 --> 00:36:54,880 Speaker 2: be completely different. So that's a part of the Philly 626 00:36:54,880 --> 00:36:57,880 Speaker 2: Comedy Festival on August twenty third at bic Wexler and 627 00:36:57,920 --> 00:36:58,480 Speaker 2: social media. 628 00:36:58,680 --> 00:37:01,719 Speaker 1: Yeah all right, we are back tomorrow with the whole 629 00:37:01,760 --> 00:37:04,400 Speaker 1: last episode of the show until then, and it's a 630 00:37:04,480 --> 00:37:05,120 Speaker 1: very fun one. 631 00:37:05,400 --> 00:37:06,080 Speaker 2: I must say that. 632 00:37:06,719 --> 00:37:09,600 Speaker 1: Until then, be kind to each other, be kind to yourselves. 633 00:37:10,440 --> 00:37:13,040 Speaker 1: Get the vaccine while you still can not very much 634 00:37:13,080 --> 00:37:16,880 Speaker 1: longer as we'll talk about tomorrow. Coop, Yeah, gay blue Shot, 635 00:37:17,560 --> 00:37:20,279 Speaker 1: don't do nothing about white supremacy, and we will talk 636 00:37:20,320 --> 00:37:20,960 Speaker 1: to you all tomorrow. 637 00:37:21,000 --> 00:37:25,160 Speaker 2: Bye. The Daily Zeitgeist as executive produced by Catherine Law, 638 00:37:25,400 --> 00:37:29,240 Speaker 2: co produced by bee WAYGE, co produced by Victor Wright, 639 00:37:29,640 --> 00:37:33,360 Speaker 2: co written by j M McNabb and edited and engineered 640 00:37:33,400 --> 00:37:34,400 Speaker 2: by Brian Jefferies.