1 00:00:01,920 --> 00:00:06,240 Speaker 1: Broadcasting live from the Abraham Lincoln Radio Studio, the George 2 00:00:06,280 --> 00:00:10,960 Speaker 1: Washington Broadcast Center, Jack Armstrong and Joe Getty Armstrong and 3 00:00:11,039 --> 00:00:17,680 Speaker 1: Jetty and Key Armstrong and Hetty. 4 00:00:23,320 --> 00:00:26,200 Speaker 2: The NFL using high tech research to design helmets for 5 00:00:26,239 --> 00:00:29,840 Speaker 2: each position. Helmets designed for where players line up. 6 00:00:29,880 --> 00:00:33,120 Speaker 3: A quarterback and a linebacker are not necessarily playing the 7 00:00:33,120 --> 00:00:36,400 Speaker 3: same sport on every play, and the frequency of their 8 00:00:36,400 --> 00:00:38,000 Speaker 3: head impacts demonstrates. 9 00:00:37,479 --> 00:00:42,080 Speaker 2: That researchers first analyzed game footage from some fifteen hundred 10 00:00:42,080 --> 00:00:45,800 Speaker 2: on field concussions, who was involved, what position were they playing, 11 00:00:46,080 --> 00:00:50,120 Speaker 2: then reconstructed each one, gathering data from those tests and 12 00:00:50,240 --> 00:00:53,199 Speaker 2: sensors in the helmets to build a superior product. 13 00:00:53,600 --> 00:00:58,120 Speaker 1: That's interesting. I just don't quite understand why you wouldn't 14 00:00:58,120 --> 00:01:01,560 Speaker 1: want the maximum protection helmet no matter what position you're in. 15 00:01:02,040 --> 00:01:05,000 Speaker 4: Yeah, I've noticed recently there are a handful of guys 16 00:01:05,000 --> 00:01:07,559 Speaker 4: on the field that have kind of bigger, puffier looking 17 00:01:07,600 --> 00:01:11,679 Speaker 4: helmets on. And I haven't heard about there being any 18 00:01:11,720 --> 00:01:14,920 Speaker 4: downside to that design, right, Guys just think they look 19 00:01:14,959 --> 00:01:17,880 Speaker 4: goofy or what because if there's no they do. If 20 00:01:17,920 --> 00:01:22,520 Speaker 4: there's no downside's I realize I'm the punter and I 21 00:01:22,520 --> 00:01:24,840 Speaker 4: get tackled once a year, but I might as well 22 00:01:24,880 --> 00:01:27,480 Speaker 4: have the keep my brain from slashing around. 23 00:01:27,280 --> 00:01:30,800 Speaker 1: Helmet kind of fond of my brain. Yeah, exactly, unless 24 00:01:30,800 --> 00:01:38,039 Speaker 1: it's a different kind of helmet for repeated small impacts linemen, 25 00:01:38,480 --> 00:01:40,760 Speaker 1: which almost never are going to get the big slam 26 00:01:40,800 --> 00:01:44,440 Speaker 1: to the ground one hundred mile an hour right, right, 27 00:01:44,560 --> 00:01:46,960 Speaker 1: is a different sort of thing than I don't know. 28 00:01:47,080 --> 00:01:50,680 Speaker 4: Well, it's good they're they're moving forward though. It's great sport. 29 00:01:50,760 --> 00:01:55,400 Speaker 4: America loves it. But the rates of the chronic u 30 00:01:56,400 --> 00:02:02,800 Speaker 4: cte is terrible. It's it's nightmarish. So yeah, glad to 31 00:02:02,800 --> 00:02:08,040 Speaker 4: see it. Speaking of the world of science, this is 32 00:02:08,320 --> 00:02:14,720 Speaker 4: an emerging field in art law first Amendment. Something a 33 00:02:15,160 --> 00:02:17,960 Speaker 4: synthetic media artist is appealing. 34 00:02:18,080 --> 00:02:20,280 Speaker 1: Well, you can't just throw around phrases. I have no 35 00:02:20,320 --> 00:02:21,760 Speaker 1: idea what they mean. It isn't quotes. 36 00:02:22,240 --> 00:02:25,359 Speaker 4: What is that This guy creates art with ai synthetic 37 00:02:25,520 --> 00:02:30,160 Speaker 4: media artist. Yeah, and actually we both have seen this 38 00:02:30,280 --> 00:02:30,960 Speaker 4: piece of art. 39 00:02:32,320 --> 00:02:33,920 Speaker 1: I don't even know what language this is. 40 00:02:33,960 --> 00:02:38,839 Speaker 4: It might be French, Theatra, the opera special. 41 00:02:39,800 --> 00:02:42,239 Speaker 1: The opera, theater spatial. 42 00:02:42,840 --> 00:02:45,840 Speaker 4: It won a big like State Fair art contest or 43 00:02:45,840 --> 00:02:47,639 Speaker 4: something like that, and then the guy revealed that it 44 00:02:47,760 --> 00:02:48,880 Speaker 4: was AI creator. 45 00:02:48,960 --> 00:02:50,440 Speaker 1: Oh okay, he won the contest. 46 00:02:50,480 --> 00:02:52,880 Speaker 4: It's like an opera in a spaceport and you can 47 00:02:52,919 --> 00:02:55,919 Speaker 4: see out into space. That rings a bell for anybody anyway. 48 00:02:58,560 --> 00:03:06,080 Speaker 4: So the US Copyright Office denied him copyright registration, claiming that. 49 00:03:07,560 --> 00:03:08,680 Speaker 1: He used machines. 50 00:03:08,680 --> 00:03:12,200 Speaker 4: He didn't create it like an artist would, and I 51 00:03:12,200 --> 00:03:14,600 Speaker 4: think that's going to get flipped that decision. 52 00:03:15,919 --> 00:03:18,280 Speaker 1: It was creating using the AI tool mid journey. 53 00:03:18,600 --> 00:03:21,440 Speaker 4: They rejected his application, stating that the work lacked sufficient 54 00:03:21,520 --> 00:03:25,280 Speaker 4: human authorship as it was primarily generated by a I 55 00:03:26,360 --> 00:03:28,760 Speaker 4: oh coming up, one of the godfathers of AI says, 56 00:03:28,760 --> 00:03:29,800 Speaker 4: it's stumberding a cat. 57 00:03:29,919 --> 00:03:35,280 Speaker 1: Don't worry about it anyway. He dumber than a cat 58 00:03:35,320 --> 00:03:37,560 Speaker 1: stumberting a cat. Okay, we'll see. 59 00:03:37,880 --> 00:03:40,720 Speaker 4: So in his appeal, mister Allen, the artist argues that 60 00:03:40,760 --> 00:03:43,800 Speaker 4: the decision was influenced by negative media attention public backlash, 61 00:03:43,840 --> 00:03:48,960 Speaker 4: which led to bias. He asserts that the examiner of 62 00:03:49,000 --> 00:03:51,560 Speaker 4: the Copyright Office failed to recognize the extensive human effort 63 00:03:51,600 --> 00:03:54,160 Speaker 4: and careful direction he put into creating the image. Well, no, 64 00:03:54,440 --> 00:03:57,560 Speaker 4: I don't doubt that which have been involved. Hang on 65 00:03:57,680 --> 00:03:58,920 Speaker 4: now or don't hang on? 66 00:03:59,640 --> 00:04:01,960 Speaker 1: Go ahead, and I'm just gonna see you have different categories. 67 00:04:02,040 --> 00:04:04,040 Speaker 1: There's the I created it with my mind and the 68 00:04:04,040 --> 00:04:06,280 Speaker 1: computer made it, or I did it with a brush 69 00:04:06,360 --> 00:04:07,960 Speaker 1: and in paints. 70 00:04:08,240 --> 00:04:10,760 Speaker 4: You know what, You're right, that's the simple wisdom of 71 00:04:10,840 --> 00:04:15,680 Speaker 4: Jack Armstrong, folks, the homespun wisdom. Ah, Judy and I 72 00:04:15,760 --> 00:04:18,720 Speaker 4: have frequent art galleries, and we fell in love with 73 00:04:18,760 --> 00:04:21,480 Speaker 4: this one artist who does this very thing. She creates 74 00:04:21,520 --> 00:04:24,599 Speaker 4: the art with artificial intelligence, and some of it is 75 00:04:24,839 --> 00:04:28,960 Speaker 4: very clever and funny and thought provoking, like every picture 76 00:04:29,000 --> 00:04:32,359 Speaker 4: tells a story. That sort of thing anyway, which is 77 00:04:32,360 --> 00:04:35,680 Speaker 4: also a fine Rod Stewart effort from the seventies. So, 78 00:04:35,880 --> 00:04:40,440 Speaker 4: but this dude created this image involving refining prompts through 79 00:04:40,480 --> 00:04:44,720 Speaker 4: an iterative process that took over one hundred hours and 80 00:04:44,880 --> 00:04:46,279 Speaker 4: six hundred prompts. 81 00:04:47,480 --> 00:04:48,000 Speaker 1: I don't know. 82 00:04:48,120 --> 00:04:51,960 Speaker 4: I think he gets a copyright on that one hundred 83 00:04:51,960 --> 00:04:54,520 Speaker 4: hours worth of work on a single image. 84 00:04:55,080 --> 00:04:59,839 Speaker 1: Yeah, I think so. But somebody will be able to 85 00:04:59,839 --> 00:05:03,080 Speaker 1: do something very very similar with just a tiny tweak, 86 00:05:03,120 --> 00:05:03,599 Speaker 1: won't they. 87 00:05:05,520 --> 00:05:07,719 Speaker 4: I think you would need to know his first five 88 00:05:08,080 --> 00:05:09,240 Speaker 4: and ninety nine prompts. 89 00:05:09,320 --> 00:05:11,839 Speaker 1: Yeah, it'll it'll be like the whole thing around music. 90 00:05:12,160 --> 00:05:15,400 Speaker 1: I heard the Sam Smith song stay with Me on 91 00:05:15,440 --> 00:05:17,359 Speaker 1: the radio the other day. Uh, the fact that he 92 00:05:17,440 --> 00:05:21,680 Speaker 1: got sued successfully by Tom Petty fort back Down is nuts. 93 00:05:21,920 --> 00:05:24,560 Speaker 1: Oh yeah, yeah, nuts. 94 00:05:23,839 --> 00:05:28,039 Speaker 4: I was in a store the other day, purveyor of 95 00:05:28,080 --> 00:05:32,200 Speaker 4: fine sippables, I think, yeah. And I don't know what 96 00:05:32,240 --> 00:05:35,640 Speaker 4: their playlist was, but if you know one of your 97 00:05:35,640 --> 00:05:44,480 Speaker 4: satellite radio platforms has derivative pop with zero attempted originality, that's. 98 00:05:44,200 --> 00:05:44,880 Speaker 1: What this was. 99 00:05:45,400 --> 00:05:50,280 Speaker 4: I mean, every song was like from Cookie Cutter, predictable, 100 00:05:50,400 --> 00:05:52,920 Speaker 4: the lyrics, the females sing, just all of it. 101 00:05:52,920 --> 00:05:55,440 Speaker 1: It was sick and sure and that's without AI, right, 102 00:05:55,480 --> 00:05:59,719 Speaker 1: So I don't understand how they'll come up with a 103 00:06:00,080 --> 00:06:03,240 Speaker 1: ferentiation for a copyright purposes on that. But my son 104 00:06:03,360 --> 00:06:06,560 Speaker 1: was messing around with photoshop. He wanted to get photoshop 105 00:06:06,600 --> 00:06:10,039 Speaker 1: on his computer and learn about it, and so I 106 00:06:10,040 --> 00:06:13,320 Speaker 1: did that. We got the free trial just in case 107 00:06:13,320 --> 00:06:16,039 Speaker 1: he didn't like it. And he was doing all kinds 108 00:06:16,040 --> 00:06:17,960 Speaker 1: of AI stuff on Photoshop, which I didn't even know 109 00:06:18,080 --> 00:06:20,360 Speaker 1: was a thing. He would he would he would grab 110 00:06:20,440 --> 00:06:24,599 Speaker 1: a picture of a valley from a Google image and 111 00:06:24,640 --> 00:06:27,400 Speaker 1: then he'd say, you know, put a unicorn over there, 112 00:06:27,880 --> 00:06:30,400 Speaker 1: and put a spaceship over there, and they'll make the 113 00:06:30,440 --> 00:06:33,320 Speaker 1: spaceship bigger. No, make the spaceship red and bigger. Make 114 00:06:33,360 --> 00:06:36,560 Speaker 1: the unicorn, you know, breathing fire or whatever, and it 115 00:06:36,600 --> 00:06:38,960 Speaker 1: would it would make it all immediately, and you could 116 00:06:39,000 --> 00:06:40,719 Speaker 1: tweak it a little bit here and there and everything 117 00:06:40,760 --> 00:06:43,279 Speaker 1: like that. It was cool. But anybody can do it. 118 00:06:43,320 --> 00:06:45,120 Speaker 1: I mean it takes zero skill. 119 00:06:45,000 --> 00:06:48,279 Speaker 4: Right, yeah, yeah, what a wild time to be alive 120 00:06:49,160 --> 00:06:51,440 Speaker 4: fire breathing unicorns hard. 121 00:06:51,600 --> 00:06:54,760 Speaker 1: Yes on that by the way, interesting side note to 122 00:06:54,800 --> 00:06:57,719 Speaker 1: you heard of them? Please? Is he every time he 123 00:06:57,760 --> 00:07:01,240 Speaker 1: did it he got so anxious, he was miserable, and 124 00:07:01,279 --> 00:07:03,240 Speaker 1: so he finally decided he couldn't do it and we 125 00:07:03,320 --> 00:07:05,599 Speaker 1: deleted it from his computer. I mean he has anxiety 126 00:07:05,640 --> 00:07:09,680 Speaker 1: problems anyway, but huh, using photoshop made his anxiety go 127 00:07:09,800 --> 00:07:14,240 Speaker 1: through the roof. No idea? Why hum? Did he try 128 00:07:14,280 --> 00:07:18,239 Speaker 1: to explain why? He doesn't know why? Okay? Interesting? Huh? 129 00:07:18,280 --> 00:07:22,760 Speaker 4: So AI thinks sir, one of the AI Pioneers thinks 130 00:07:22,800 --> 00:07:25,000 Speaker 4: AI is dumbred and a cat that after a quick 131 00:07:25,000 --> 00:07:27,679 Speaker 4: word from our friends true Prize picks, I was busy 132 00:07:27,720 --> 00:07:32,240 Speaker 4: and forgot to do picks for the Football Action this weekend, 133 00:07:32,240 --> 00:07:35,920 Speaker 4: and I'm annoyed because it's fun. Prize Picks is the 134 00:07:35,960 --> 00:07:38,920 Speaker 4: best place to get real money sports action. Over ten 135 00:07:39,000 --> 00:07:42,400 Speaker 4: million members billions of dollars in award winnings, Prize Picks 136 00:07:42,400 --> 00:07:44,720 Speaker 4: has made daily fantasy sports accessible at all. You just 137 00:07:44,760 --> 00:07:47,040 Speaker 4: pick more or less on at least two players up 138 00:07:47,040 --> 00:07:48,720 Speaker 4: to six for a shot to win up to one 139 00:07:48,760 --> 00:07:50,040 Speaker 4: hundred times your cash. 140 00:07:50,280 --> 00:07:52,080 Speaker 1: Run your game all season long on Prize Picks. 141 00:07:52,120 --> 00:07:52,320 Speaker 5: Yeah. 142 00:07:52,360 --> 00:07:53,800 Speaker 1: One of the great things with Prize Picks is if 143 00:07:53,840 --> 00:07:55,720 Speaker 1: you like this sort of thing, you can get involved 144 00:07:55,760 --> 00:07:59,760 Speaker 1: so quickly and easily and successfully, and you gets your 145 00:07:59,760 --> 00:08:04,280 Speaker 1: money within fifteen minutes. If fantasy football has just been 146 00:08:04,320 --> 00:08:07,040 Speaker 1: too much work and time consumption for you, this is 147 00:08:07,080 --> 00:08:07,600 Speaker 1: the way to go. 148 00:08:07,800 --> 00:08:09,840 Speaker 4: Oh yeah, did do it when you feel like it. 149 00:08:09,840 --> 00:08:12,960 Speaker 4: It's not a season long things. Daily Prize Picks puts 150 00:08:13,000 --> 00:08:15,840 Speaker 4: its members first. They invented the flex played Prize Picks. 151 00:08:15,880 --> 00:08:18,160 Speaker 4: You can still cash out even if your lineup isn't perfect. 152 00:08:18,880 --> 00:08:21,360 Speaker 4: So download the Prize Picks app today and use the 153 00:08:21,360 --> 00:08:23,880 Speaker 4: code Armstrong to get fifty bucks instantly after you play 154 00:08:23,920 --> 00:08:27,080 Speaker 4: your first five dollars lineup. It's fifty bucks just for 155 00:08:27,280 --> 00:08:31,480 Speaker 4: playing five dollars. Download the Prize Pick app today and 156 00:08:31,600 --> 00:08:34,600 Speaker 4: use that code Armstrong to get that fifty dollars bonus 157 00:08:34,760 --> 00:08:35,400 Speaker 4: prize picks. 158 00:08:35,480 --> 00:08:38,520 Speaker 1: Run your game. But I was thinking if my twelve 159 00:08:38,559 --> 00:08:43,240 Speaker 1: year old, having used the photoshop program for a total 160 00:08:43,280 --> 00:08:46,520 Speaker 1: of ten minutes, could do some of the stuff that 161 00:08:46,640 --> 00:08:49,480 Speaker 1: he did, I thought, how's any sort of graphic designer 162 00:08:49,520 --> 00:08:52,680 Speaker 1: person ever gonna make a living ever again? In the 163 00:08:52,720 --> 00:08:54,040 Speaker 1: history of the world. I don't know how you never 164 00:08:54,080 --> 00:08:54,640 Speaker 1: make a dime. 165 00:08:55,120 --> 00:08:56,959 Speaker 4: And I really like taking pictures, and I have a 166 00:08:56,960 --> 00:08:59,439 Speaker 4: bunch of them on the wall and stuff like that. 167 00:08:59,559 --> 00:09:03,240 Speaker 4: But how long is it going to be before people see, 168 00:09:03,320 --> 00:09:06,160 Speaker 4: you know, the picture I'm so proud of, I mean, 169 00:09:06,200 --> 00:09:09,080 Speaker 4: got the perfect shot at the perfect second, an eagle 170 00:09:09,160 --> 00:09:12,640 Speaker 4: flying overhead or whatever, And they're like, eh, I'll just 171 00:09:12,679 --> 00:09:14,000 Speaker 4: assume everything's ai. 172 00:09:15,360 --> 00:09:18,000 Speaker 1: That's true. Why would it? Yeah, why would it strike 173 00:09:18,080 --> 00:09:24,959 Speaker 1: you as worth staring at it? All? Right? Yeah? Yeah, huh. 174 00:09:25,000 --> 00:09:27,840 Speaker 1: Maybe I'll uh. I've always considered. 175 00:09:28,920 --> 00:09:32,400 Speaker 4: Wildlife photography to be my equivalent of hunting, because I 176 00:09:32,440 --> 00:09:35,480 Speaker 4: have no desire to kill anything. If you do, go ahead, 177 00:09:35,480 --> 00:09:37,520 Speaker 4: I don't care. I'm not anti hunting at all, but 178 00:09:37,559 --> 00:09:40,079 Speaker 4: I just I've never felt the draw. Really, maybe I'll 179 00:09:40,120 --> 00:09:42,920 Speaker 4: go back to shooting animals. I mean because getting a 180 00:09:42,920 --> 00:09:45,320 Speaker 4: picture of them isn't satisfying anymore. 181 00:09:45,280 --> 00:09:47,320 Speaker 1: Because AI is not doing that at least correctly. So 182 00:09:47,360 --> 00:09:51,400 Speaker 1: maybe I'll murder them. Yeah, I don't know. So Yan lecuon, 183 00:09:52,559 --> 00:09:54,800 Speaker 1: you and some of your Haitian friends going a cat hunting? 184 00:09:55,000 --> 00:09:57,400 Speaker 1: Oh boy, that's uh. 185 00:09:57,800 --> 00:10:02,640 Speaker 4: That's the misinformation and or disin information or mal information, 186 00:10:03,120 --> 00:10:05,000 Speaker 4: which is the new one they've invented over there on 187 00:10:05,040 --> 00:10:05,680 Speaker 4: the left where. 188 00:10:05,559 --> 00:10:13,000 Speaker 1: They're trying to strike. Actually they're eating. They're eating of 189 00:10:13,080 --> 00:10:14,880 Speaker 1: the people that live there. 190 00:10:15,040 --> 00:10:17,680 Speaker 4: Does seem to be solid basis to believe the folks 191 00:10:17,679 --> 00:10:20,040 Speaker 4: are snatching ducks and geese out of the park. 192 00:10:20,200 --> 00:10:23,120 Speaker 1: Fine, yeah, I get woken up every night right now 193 00:10:23,160 --> 00:10:24,720 Speaker 1: by the geese flying south. 194 00:10:25,280 --> 00:10:25,520 Speaker 6: Ah. 195 00:10:25,920 --> 00:10:30,360 Speaker 4: Yes, yes, Canada geese are a scourge. They are poop machines. 196 00:10:30,480 --> 00:10:32,120 Speaker 4: They ruin golf courses. 197 00:10:32,160 --> 00:10:36,880 Speaker 1: American geese's jobs, exactly the threat from the north. 198 00:10:37,120 --> 00:10:41,000 Speaker 4: I call them, Where were we? Ah yon Lecoon? I 199 00:10:41,040 --> 00:10:44,720 Speaker 4: hope I'm pronouncing mister Lecun's name correctly. He helped give 200 00:10:44,840 --> 00:10:49,080 Speaker 4: birth to today's AI boom. He's one of the godfathers 201 00:10:50,000 --> 00:10:53,959 Speaker 4: of AI. But he thinks many experts are exaggerating its 202 00:10:54,000 --> 00:10:56,040 Speaker 4: power in peril, and he wants people to know it. 203 00:10:56,760 --> 00:10:59,959 Speaker 4: Who's the old British chap won the Nobel Prize. Who 204 00:11:00,120 --> 00:11:02,600 Speaker 4: who's really Jeff free Hinton, hasn't it? 205 00:11:02,720 --> 00:11:02,920 Speaker 1: Yes? 206 00:11:03,080 --> 00:11:06,840 Speaker 4: Yeah, who's really leading the Hey robot overlords. They're going 207 00:11:06,880 --> 00:11:09,840 Speaker 4: to drain your vital juices and take over humanaged. 208 00:11:09,440 --> 00:11:11,600 Speaker 1: And so so what's his name from Google? And you 209 00:11:11,640 --> 00:11:12,480 Speaker 1: know lots of people. 210 00:11:12,760 --> 00:11:16,320 Speaker 4: Yeah, Yeah, Lacun disagrees completely. 211 00:11:16,880 --> 00:11:20,760 Speaker 1: I kind of hope he's right. There's a lot more 212 00:11:20,800 --> 00:11:22,199 Speaker 1: people that On the other side of it. 213 00:11:22,360 --> 00:11:24,520 Speaker 4: He says, you're gonna have to partner my French But 214 00:11:24,559 --> 00:11:29,040 Speaker 4: that's complete bs. He actually sounds like a really charming 215 00:11:29,040 --> 00:11:35,160 Speaker 4: and likable guy. He's won every computing award that's ever existed. Well, 216 00:11:35,200 --> 00:11:37,040 Speaker 4: I'm going to scroll down to the part that's git. 217 00:11:37,440 --> 00:11:40,840 Speaker 4: That's interesting. He got into a nasty argument with Elon 218 00:11:41,040 --> 00:11:44,880 Speaker 4: Musk on x this spring or the nature of scientific research. 219 00:11:44,920 --> 00:11:49,760 Speaker 4: You might have seen that, But he and his buddies, 220 00:11:49,760 --> 00:11:52,480 Speaker 4: who he is very much in contact with and works with, 221 00:11:52,520 --> 00:11:55,520 Speaker 4: still diverge over whether companies can be trusted with making 222 00:11:55,520 --> 00:12:00,000 Speaker 4: sure that futures superhuman ais aren't used maliciously or developed 223 00:12:00,120 --> 00:12:01,319 Speaker 4: malicious intent. 224 00:12:01,080 --> 00:12:02,920 Speaker 1: On their own they will be, and they are. 225 00:12:04,520 --> 00:12:11,119 Speaker 4: He says that the current AI systems, the large language 226 00:12:11,400 --> 00:12:15,839 Speaker 4: model things, they have their own severe limitations, and we'll 227 00:12:15,920 --> 00:12:18,839 Speaker 4: never get to artificial general intelligence. It's got to be 228 00:12:18,880 --> 00:12:22,520 Speaker 4: approached completely differently. He says, it might get to be 229 00:12:22,559 --> 00:12:23,440 Speaker 4: about as smart. 230 00:12:23,240 --> 00:12:28,480 Speaker 1: As a cat. I'd be fine with me if he's right. 231 00:12:28,600 --> 00:12:31,200 Speaker 1: I doubt that he is. There are a lot of 232 00:12:31,200 --> 00:12:34,400 Speaker 1: people throwing many, many, many billions of dollars at this 233 00:12:34,840 --> 00:12:36,920 Speaker 1: because they don't agree with him right. 234 00:12:37,200 --> 00:12:40,480 Speaker 4: There's a huge amount of hype to get those dollars flowing. 235 00:12:40,520 --> 00:12:43,440 Speaker 4: But those dollars are indeed flowing. Two more very quick 236 00:12:43,440 --> 00:12:47,360 Speaker 4: notes on this. The felines, he says, have a mental 237 00:12:47,400 --> 00:12:51,040 Speaker 4: model of the physical world. They have persistent memory, some 238 00:12:51,120 --> 00:12:55,000 Speaker 4: reasoning ability and capacity for planning, and are also delicious 239 00:12:55,000 --> 00:12:57,240 Speaker 4: of my right haitians, and none of these qualities are 240 00:12:57,240 --> 00:13:00,520 Speaker 4: present in today's frontier AIS. Then the final note, I 241 00:13:00,520 --> 00:13:03,440 Speaker 4: want to say about this guy because he is what 242 00:13:03,640 --> 00:13:05,360 Speaker 4: I want very much to be. 243 00:13:05,760 --> 00:13:06,920 Speaker 1: Not a computer genius. 244 00:13:07,000 --> 00:13:10,240 Speaker 4: Lord knows that ain't happening, But a guy who's worked 245 00:13:10,240 --> 00:13:13,000 Speaker 4: with him since nineteen eighty six and disagrees with him 246 00:13:13,040 --> 00:13:15,240 Speaker 4: said he is stubborn. 247 00:13:15,080 --> 00:13:16,080 Speaker 1: In a good way. 248 00:13:16,720 --> 00:13:21,760 Speaker 4: He is always willing to listen to others' views, but 249 00:13:21,840 --> 00:13:24,280 Speaker 4: he is confident in his I. 250 00:13:24,240 --> 00:13:26,480 Speaker 1: Hope he's right. That'd be awesome. I'm rooting for him 251 00:13:26,480 --> 00:13:32,120 Speaker 1: being right. I doubt that he is, and my going 252 00:13:32,160 --> 00:13:35,040 Speaker 1: the other direction of like not understanding at all what 253 00:13:35,080 --> 00:13:36,640 Speaker 1: the Internet was going to do to the world, or 254 00:13:36,640 --> 00:13:41,520 Speaker 1: even texting or smartphones right turned everything upside down. Jeez, 255 00:13:41,640 --> 00:13:44,520 Speaker 1: all right, be terrified of cats. That's fine. I hope 256 00:13:44,600 --> 00:13:47,840 Speaker 1: that guy's right. Stay with us. 257 00:13:49,760 --> 00:13:53,160 Speaker 7: Riverside County Sheriff's office says they stopped a black SUV 258 00:13:53,360 --> 00:13:56,800 Speaker 7: outside a rally for former President Trump in southern California. 259 00:13:57,080 --> 00:13:59,679 Speaker 7: Driver was found to be illegally in possession of two 260 00:13:59,760 --> 00:14:03,400 Speaker 7: guys and a high capacity magazine. Authority has identified that 261 00:14:03,480 --> 00:14:06,280 Speaker 7: driver as forty nine year old VEM. Miller, a Las 262 00:14:06,360 --> 00:14:09,840 Speaker 7: Vegas resident. They took him into custody Riverside County Sheriff 263 00:14:09,920 --> 00:14:10,680 Speaker 7: Chad Bianco. 264 00:14:10,880 --> 00:14:13,800 Speaker 6: The deputy noticed that the interior of the vehicle was 265 00:14:13,840 --> 00:14:19,560 Speaker 6: in quite disarray. The vehicle had a an obviously fake 266 00:14:19,800 --> 00:14:24,800 Speaker 6: license plate, and that prompted further investigation from our deputy. 267 00:14:25,520 --> 00:14:28,280 Speaker 1: So the interestingman, you get pulled over for being a slob. 268 00:14:30,480 --> 00:14:33,200 Speaker 4: Hey, I throw the the McDonald's bags in the back 269 00:14:33,560 --> 00:14:34,960 Speaker 4: and clean them out and out again. 270 00:14:35,680 --> 00:14:39,000 Speaker 1: So boy, I'm not that way my kids there where. 271 00:14:39,120 --> 00:14:40,800 Speaker 1: I'm so big on this. Every time we get out 272 00:14:40,800 --> 00:14:42,560 Speaker 1: of the car, all the trash goes with us, every 273 00:14:42,600 --> 00:14:48,560 Speaker 1: single time. Excellent policy. But so this guy gets stopped 274 00:14:49,480 --> 00:14:52,160 Speaker 1: on the way into the Coachella thing where Trump was 275 00:14:52,200 --> 00:14:55,320 Speaker 1: speaking and all the stuff you just heard there, and 276 00:14:55,360 --> 00:15:02,800 Speaker 1: he's all kinds of not Jason Bourne brilliant. I mean, 277 00:15:03,040 --> 00:15:05,960 Speaker 1: he doesn't have a driver's license with him, he's got 278 00:15:06,240 --> 00:15:09,760 Speaker 1: all kinds of obviously fake stuff and guns that aren't 279 00:15:09,800 --> 00:15:14,760 Speaker 1: registered and expired tags. I mean, just like nineteen different 280 00:15:14,760 --> 00:15:18,400 Speaker 1: reasons you're not going to get in there. The shaff 281 00:15:18,760 --> 00:15:20,600 Speaker 1: One of the reasons this made so much news is 282 00:15:20,640 --> 00:15:25,080 Speaker 1: the sheriff all day yesterday was saying, I consider this 283 00:15:25,160 --> 00:15:29,440 Speaker 1: a third assassination attempt. The FBI is saying we don't 284 00:15:29,440 --> 00:15:32,840 Speaker 1: think it's assassination attempt. And today I heard a Trump 285 00:15:32,880 --> 00:15:36,360 Speaker 1: spokesman say we're not considering this an assassination attempt. Wow, 286 00:15:36,560 --> 00:15:39,680 Speaker 1: Trump person. And they got every reason to build it up. 287 00:15:40,720 --> 00:15:44,560 Speaker 4: So this was just a loser passing through town and 288 00:15:44,600 --> 00:15:47,960 Speaker 4: the guy's out on five thousand dollars bond or bail 289 00:15:48,040 --> 00:15:50,760 Speaker 4: or wherever you go, and which we got a number 290 00:15:50,760 --> 00:15:52,960 Speaker 4: of text people say, can you believe they let another 291 00:15:53,000 --> 00:15:56,640 Speaker 4: assassin out on He has been interviewed and I've seen 292 00:15:56,680 --> 00:15:59,000 Speaker 4: it saying I'm one hundred percent of Trump supporter. 293 00:15:59,200 --> 00:16:01,320 Speaker 1: You can't find a bigger Trump supporter than I am. 294 00:16:01,520 --> 00:16:04,120 Speaker 1: And apparently they've looked into his background and he determined 295 00:16:04,120 --> 00:16:08,360 Speaker 1: that's true. Oh so he's just passing through. He is 296 00:16:08,440 --> 00:16:13,920 Speaker 1: a I'm a Trump supporter because I believe Venezuelan Muslim, 297 00:16:14,000 --> 00:16:16,400 Speaker 1: Russian something or others are trying to take over the country. 298 00:16:16,760 --> 00:16:19,000 Speaker 1: Kamala Harris is going to let him. But he's all 299 00:16:19,080 --> 00:16:21,640 Speaker 1: kinds of like, you know, armed to the teeth because 300 00:16:21,680 --> 00:16:23,560 Speaker 1: we're about to lose our democracy and everything like that. 301 00:16:23,600 --> 00:16:26,960 Speaker 1: Oh but that's why he's on Trump's side. Oh boy, 302 00:16:27,680 --> 00:16:30,080 Speaker 1: So he might be a danger to society or a 303 00:16:30,120 --> 00:16:32,200 Speaker 1: little off his rocker, but he is not there to 304 00:16:32,280 --> 00:16:36,760 Speaker 1: kill her. Danger to Trump? Yeah, yeah, okay. Interesting. A 305 00:16:36,800 --> 00:16:41,000 Speaker 1: couple of texts we got tangentially related to the presidential election. 306 00:16:41,280 --> 00:16:44,280 Speaker 1: As we have been saying, Kamala Harris, it seems like 307 00:16:44,320 --> 00:16:46,800 Speaker 1: maybe her closing argument is going to be Trump's got 308 00:16:46,840 --> 00:16:50,480 Speaker 1: dementia and needs to release his medical records. She is 309 00:16:50,560 --> 00:16:52,600 Speaker 1: big on that at her rallies over the weekend. She 310 00:16:52,640 --> 00:16:55,800 Speaker 1: released her medical records on Friday. She's fine, she's fifty 311 00:16:55,880 --> 00:16:59,480 Speaker 1: nine years old, and she's going after Trump. I don't 312 00:16:59,520 --> 00:17:01,160 Speaker 1: I don't think this is a very good closing argument. 313 00:17:01,200 --> 00:17:03,520 Speaker 1: But anyway, we got a couple of texts. The only 314 00:17:03,560 --> 00:17:06,879 Speaker 1: test I want to see Kamala take as a breathalyzer. 315 00:17:07,480 --> 00:17:12,119 Speaker 1: And also Trump should take a releases medical records if 316 00:17:12,160 --> 00:17:17,520 Speaker 1: she'll take an IQ test. Okay, that's not helpful. Okay, 317 00:17:18,320 --> 00:17:21,160 Speaker 1: another different tomy that I can fit into the final minute. 318 00:17:21,800 --> 00:17:24,159 Speaker 4: The setting guy is seen now and he released to 319 00:17:24,160 --> 00:17:26,000 Speaker 4: his records and the doctor said, yeah, he's fine. 320 00:17:26,040 --> 00:17:32,040 Speaker 1: So come on, had those hurricanes anytime you saw a 321 00:17:32,080 --> 00:17:35,320 Speaker 1: story about the hurricanes, they always mentioned climate change, any 322 00:17:35,359 --> 00:17:40,360 Speaker 1: mainstream media story all the time. Saw some more articles 323 00:17:40,400 --> 00:17:44,520 Speaker 1: over the weekend proving that nothing has changed for hurricane wise. 324 00:17:44,560 --> 00:17:46,040 Speaker 1: There's no way you can look at a chart of 325 00:17:46,119 --> 00:17:49,399 Speaker 1: hurricanes over the last however many years and determine that 326 00:17:49,400 --> 00:17:51,640 Speaker 1: there are more now or they're worse. It's just not true. 327 00:17:51,920 --> 00:17:54,720 Speaker 1: And learned this nugget that I'd forgotten. The Miami Hurricanes 328 00:17:54,720 --> 00:17:57,359 Speaker 1: football team, which is ranked fourth in the country or 329 00:17:57,359 --> 00:17:59,920 Speaker 1: something like that. They were named that in nineteen twenty 330 00:18:00,400 --> 00:18:03,480 Speaker 1: after the biggest hurricane that ever hit the state. Wow, 331 00:18:03,600 --> 00:18:05,960 Speaker 1: And why do you explain that particular hurricane or lots 332 00:18:06,000 --> 00:18:07,920 Speaker 1: of hurricanes they've had over the last one hundred years 333 00:18:08,040 --> 00:18:10,280 Speaker 1: that were stronger than weaker, than stronger than weaker. 334 00:18:10,320 --> 00:18:13,880 Speaker 4: And nobody has found that name triggering for a century. Either, 335 00:18:14,320 --> 00:18:15,600 Speaker 4: it's fine, what happens? 336 00:18:16,720 --> 00:18:21,040 Speaker 1: Armstrong and Getdy Live, go over to Tim Walls. Okay, 337 00:18:21,080 --> 00:18:22,480 Speaker 1: something that's keep me a glove apupp it. 338 00:18:22,680 --> 00:18:25,719 Speaker 3: This is right in my wheelhouse, in my glovebox. I 339 00:18:25,720 --> 00:18:30,479 Speaker 3: got hot hands napkins from Ronza, and gotta have tombs 340 00:18:30,480 --> 00:18:33,280 Speaker 3: in case I eat something spicy like tomato. 341 00:18:34,320 --> 00:18:41,119 Speaker 1: If you say so, sell me some white moss. It's sorry, 342 00:18:41,320 --> 00:18:44,440 Speaker 1: not up there. So that's from the open of Saturday 343 00:18:44,520 --> 00:18:47,920 Speaker 1: Night Live, in which they the Harris people were playing 344 00:18:47,960 --> 00:18:50,440 Speaker 1: family feud against the Trump people, and it was pretty 345 00:18:50,480 --> 00:18:55,399 Speaker 1: dang funny, it was, and not flattering to either side, 346 00:18:55,480 --> 00:18:58,240 Speaker 1: which is the way that sort of satirical political comedy 347 00:18:58,280 --> 00:19:00,679 Speaker 1: should be. Yes, indeed, and you used to be and 348 00:19:00,840 --> 00:19:04,280 Speaker 1: maybe again, I don't know. Anyway, Here's just when Trump 349 00:19:04,359 --> 00:19:08,080 Speaker 1: was asked, the question was, uh, name something you find 350 00:19:08,119 --> 00:19:11,280 Speaker 1: in your glove compartment? All right, President Trump. 351 00:19:11,040 --> 00:19:13,879 Speaker 8: What you got? Well, Steve, I've never ridden in front 352 00:19:13,920 --> 00:19:17,840 Speaker 8: seat of cars, so this question is very unfair. So 353 00:19:18,119 --> 00:19:20,560 Speaker 8: to answer this, I'm gonna do one of my signature weaves. 354 00:19:20,640 --> 00:19:23,240 Speaker 1: Right, It's called the weave where I say lots. 355 00:19:23,000 --> 00:19:25,880 Speaker 8: Of different things, but it all comes together so beautifully, 356 00:19:26,200 --> 00:19:29,080 Speaker 8: like an episode of Seinfeld Seinfeld. You know Jerry was 357 00:19:29,080 --> 00:19:30,399 Speaker 8: always wearing mom jeans. 358 00:19:31,320 --> 00:19:32,560 Speaker 1: Yeah, bad jeans. 359 00:19:32,600 --> 00:19:34,840 Speaker 8: Just like the immigrants who are ruining this country. 360 00:19:34,840 --> 00:19:37,800 Speaker 1: They're eating the pets, they're eating mood dang. 361 00:19:37,920 --> 00:19:41,159 Speaker 8: But it's so so we are getting an assets kid. 362 00:19:41,200 --> 00:19:43,080 Speaker 8: I mean you look at Korea, you look at Japan, America, 363 00:19:43,119 --> 00:19:44,040 Speaker 8: it's not even include. 364 00:19:44,040 --> 00:19:46,360 Speaker 1: There's no room. So it's like glunk compartment, right, there's 365 00:19:46,359 --> 00:19:46,640 Speaker 1: no room. 366 00:19:46,680 --> 00:19:47,800 Speaker 8: You see what I did this stear. 367 00:19:48,840 --> 00:19:50,720 Speaker 1: Oh yeah, I know exactly what you did. 368 00:19:51,359 --> 00:19:59,280 Speaker 5: Tell me. Dementia eating the pets, they're eating mood dang, 369 00:19:59,480 --> 00:20:02,360 Speaker 5: which I did. Remember that's the baby hippo that everybody 370 00:20:02,440 --> 00:20:05,520 Speaker 5: was oh oh oh. 371 00:20:05,560 --> 00:20:07,800 Speaker 1: I didn't catch that reference. No, I didn't get it. 372 00:20:07,880 --> 00:20:10,560 Speaker 1: Henry laughed really hard. By twelve year old. I said, 373 00:20:10,560 --> 00:20:13,159 Speaker 1: what he said, that's that hippo, that cute little hippop 374 00:20:13,240 --> 00:20:17,680 Speaker 1: Pigmy hippo America fellon. They're reading the pets, they're eating mood. Dang, 375 00:20:21,480 --> 00:20:25,399 Speaker 1: that's funny. So watching the talk shows yesterday, like three 376 00:20:25,520 --> 00:20:28,480 Speaker 1: or four major polls came out over the weekend in 377 00:20:28,560 --> 00:20:31,359 Speaker 1: New York Times, your NBC or CBS, you're Wall Street General, 378 00:20:31,480 --> 00:20:34,600 Speaker 1: all these big poles came out. They all are in 379 00:20:34,640 --> 00:20:39,520 Speaker 1: agreement that the race is incredibly tight. And it wasn't 380 00:20:39,600 --> 00:20:42,600 Speaker 1: like a month ago Kamala had opened up a little 381 00:20:42,600 --> 00:20:44,600 Speaker 1: bit of a lead. All that has gone away. Are 382 00:20:44,600 --> 00:20:47,439 Speaker 1: we talking national polls or swing state all of them? Okay, 383 00:20:47,680 --> 00:20:55,400 Speaker 1: so any we literally just accidentally reenacted what poles all 384 00:20:55,440 --> 00:21:03,160 Speaker 1: of them? And I said, okay, wow, but uh yeah, 385 00:21:03,200 --> 00:21:06,000 Speaker 1: So nationally and in the battleground states are all back 386 00:21:06,040 --> 00:21:09,160 Speaker 1: to tide. So there's a couple interesting things about that. 387 00:21:10,960 --> 00:21:14,399 Speaker 1: And this has got to be why the Democrats behind 388 00:21:14,440 --> 00:21:22,520 Speaker 1: the scenes are really frightened, because she had the greatest rollout, 389 00:21:23,200 --> 00:21:25,679 Speaker 1: all the combination of things, the not having to go 390 00:21:25,720 --> 00:21:28,680 Speaker 1: through a primary where you get torn down. The one 391 00:21:28,760 --> 00:21:32,360 Speaker 1: hundred percent media is behind you. The just everything on 392 00:21:32,400 --> 00:21:34,800 Speaker 1: your side, and she got a couple of points, and 393 00:21:34,840 --> 00:21:37,320 Speaker 1: a dissipated has got to I mean, because it's not 394 00:21:37,359 --> 00:21:40,200 Speaker 1: going to get better from here, right, There's zero chance 395 00:21:40,359 --> 00:21:41,800 Speaker 1: it gets better from here. Right. 396 00:21:42,000 --> 00:21:44,359 Speaker 4: You're running against such a known quantity. It's not like 397 00:21:44,400 --> 00:21:47,400 Speaker 4: they're going to come out with some you know, October 398 00:21:47,440 --> 00:21:49,679 Speaker 4: surprise that says Trump is an ego maniac who's had 399 00:21:49,680 --> 00:21:50,640 Speaker 4: a handful of wives. 400 00:21:50,960 --> 00:21:53,080 Speaker 1: Yeah, or hit on women or the name or name 401 00:21:53,160 --> 00:21:56,760 Speaker 1: something that anybody'll be surprised by. So, yeah, it's only 402 00:21:56,760 --> 00:21:58,439 Speaker 1: going to get worse from there. So I thought that 403 00:21:58,480 --> 00:22:00,840 Speaker 1: was damned interesting. One more thing about the polls after 404 00:22:00,880 --> 00:22:03,680 Speaker 1: I read this, Vice President Kamala Harris. This is from 405 00:22:03,720 --> 00:22:09,440 Speaker 1: the New York Times, particular aspect about Hispanic voting. Vice 406 00:22:09,480 --> 00:22:13,200 Speaker 1: President Kamala Harris's support among Hispanic voters is in dangerously 407 00:22:13,320 --> 00:22:16,360 Speaker 1: low territory for Democrats, according to the New New York 408 00:22:16,400 --> 00:22:19,720 Speaker 1: Times poll, While her rival, former President Donald J. Trump 409 00:22:19,800 --> 00:22:23,159 Speaker 1: has maintained his strength with the fast growing group poised 410 00:22:23,160 --> 00:22:25,159 Speaker 1: to play a key role in deciding control of the 411 00:22:25,160 --> 00:22:31,320 Speaker 1: White House, Kamala's underperforming the last three Democratic candidates for 412 00:22:31,359 --> 00:22:35,000 Speaker 1: the White House on a slate of top issues including 413 00:22:35,040 --> 00:22:38,280 Speaker 1: the economy, immigration, in crime. So she's way under performing 414 00:22:38,320 --> 00:22:42,560 Speaker 1: with Hispanics previous Democrats and also on the economy, immigration, 415 00:22:42,600 --> 00:22:45,040 Speaker 1: and crime. So a couple of things on that. One 416 00:22:45,920 --> 00:22:49,159 Speaker 1: the biggest knock on Trump through the twenty sixteen election 417 00:22:49,200 --> 00:22:51,120 Speaker 1: in a lot of the twenty twenty election was he's 418 00:22:51,160 --> 00:22:56,160 Speaker 1: a racist, particularly against brown people, right, And he's doing 419 00:22:56,200 --> 00:22:58,920 Speaker 1: better than any Republican has ever done, and she's doing 420 00:22:58,920 --> 00:23:01,920 Speaker 1: worse than any Democrats. We're done. How is that not 421 00:23:02,000 --> 00:23:07,240 Speaker 1: more interesting to people? It's inconvenient? The murder that is fascinating, Yeah, 422 00:23:07,240 --> 00:23:07,560 Speaker 1: it is. 423 00:23:07,920 --> 00:23:11,680 Speaker 4: I wonder if and I hate to even generalize about 424 00:23:11,720 --> 00:23:13,840 Speaker 4: why this is happening, because then I have to generalize 425 00:23:13,840 --> 00:23:17,080 Speaker 4: about Hispanic people or black people or whatever. And that's 426 00:23:17,160 --> 00:23:18,880 Speaker 4: kind of the point of this show is that that's 427 00:23:18,920 --> 00:23:22,320 Speaker 4: not a good idea. The real white privileges. We get 428 00:23:22,359 --> 00:23:24,600 Speaker 4: to think for ourselves and vote however the hell we want. 429 00:23:24,960 --> 00:23:28,240 Speaker 4: Anyway to suggests you do the same. But if I 430 00:23:28,440 --> 00:23:32,080 Speaker 4: was going to generalize or guess, is it that. 431 00:23:33,680 --> 00:23:34,600 Speaker 1: She is the. 432 00:23:36,240 --> 00:23:41,760 Speaker 4: At least middle class, if not comfortably middle class, daughter 433 00:23:41,880 --> 00:23:47,280 Speaker 4: of two Marxist professors who spent her teenage years in Montreal, 434 00:23:47,800 --> 00:23:50,240 Speaker 4: you go where your parents take you. I don't falter 435 00:23:50,400 --> 00:23:52,320 Speaker 4: for that. Really, you're trying to make a big deal 436 00:23:52,359 --> 00:23:54,480 Speaker 4: of it exactly. Well, did you read the Washington Post 437 00:23:54,480 --> 00:23:57,520 Speaker 4: story about that. I read something about that that there's 438 00:23:57,600 --> 00:24:00,240 Speaker 4: like four words of her entire time in Montreal in 439 00:24:00,240 --> 00:24:01,119 Speaker 4: her autobiography. 440 00:24:01,160 --> 00:24:03,119 Speaker 1: That's the interesting thing. Yes, it is she's trying to 441 00:24:03,160 --> 00:24:05,240 Speaker 1: hide is that she never talks about and it was 442 00:24:05,280 --> 00:24:07,520 Speaker 1: all of high school plus a year. It's not like 443 00:24:07,560 --> 00:24:09,879 Speaker 1: those are minor years of your life in terms of 444 00:24:09,920 --> 00:24:13,239 Speaker 1: shaping you. And she had like a paragraph about it 445 00:24:13,280 --> 00:24:15,760 Speaker 1: in her book about her life, and the Washington Post 446 00:24:15,840 --> 00:24:19,200 Speaker 1: contacted her and had questions about it, and they didn't 447 00:24:19,240 --> 00:24:21,639 Speaker 1: want to talk to them. She wouldn't talk to the 448 00:24:21,760 --> 00:24:24,840 Speaker 1: Washington Post about her MONTREALI years. So I do falter 449 00:24:24,960 --> 00:24:27,800 Speaker 1: for the fact that she's hiding right a chunk of 450 00:24:27,800 --> 00:24:30,080 Speaker 1: her life. There's obviously a reason for that. It doesn't 451 00:24:30,119 --> 00:24:33,240 Speaker 1: fit her personal narrative. But I wonder if the reason 452 00:24:33,440 --> 00:24:35,960 Speaker 1: that she's, you know, fallen so flat with some of 453 00:24:35,960 --> 00:24:39,520 Speaker 1: those ethnic groups is that she's trying to pretend to 454 00:24:39,600 --> 00:24:44,760 Speaker 1: be straight. She's inauthentic. Well, that that might be with 455 00:24:44,880 --> 00:24:49,119 Speaker 1: the black consulting, I feel really uncomfortable even trying to guess. 456 00:24:49,200 --> 00:24:52,240 Speaker 1: I mean, why would I guess? No? But with the 457 00:24:52,400 --> 00:24:55,920 Speaker 1: Hispanic vote, I think it's Hispanics tend to be conservative, 458 00:24:56,119 --> 00:25:00,359 Speaker 1: and all of this crap about pronouns and transition, this 459 00:25:00,400 --> 00:25:00,960 Speaker 1: and that and all. 460 00:25:00,840 --> 00:25:01,520 Speaker 5: Those different things. 461 00:25:01,680 --> 00:25:05,400 Speaker 1: It's spending. Crowd isn't into that, right right, yep. 462 00:25:05,480 --> 00:25:10,520 Speaker 4: They hate the complete lefty neo Marxist woke stuff, even 463 00:25:10,520 --> 00:25:12,960 Speaker 4: if they don't recognize that as neo Marxism, they just 464 00:25:13,119 --> 00:25:14,000 Speaker 4: don't like it. 465 00:25:14,400 --> 00:25:16,760 Speaker 1: But on the polling in general, I was thinking yesterday, 466 00:25:16,760 --> 00:25:18,919 Speaker 1: this is what I'm going to say on election morning. 467 00:25:19,119 --> 00:25:22,040 Speaker 1: I think, unless something changes, this is probably what I'm 468 00:25:22,040 --> 00:25:24,200 Speaker 1: going to say in election morning, which is three weeks 469 00:25:24,200 --> 00:25:30,720 Speaker 1: from tomorrow. Nobody has any idea who's going to win. 470 00:25:31,880 --> 00:25:37,520 Speaker 1: Because there's the biggest question hanging out there is are 471 00:25:38,000 --> 00:25:43,720 Speaker 1: the models they're using for polling correct in that is 472 00:25:43,760 --> 00:25:45,600 Speaker 1: everything the same as it was the last two cycles, 473 00:25:45,640 --> 00:25:48,479 Speaker 1: because they're using that same model from sixteen to twenty, 474 00:25:48,600 --> 00:25:51,120 Speaker 1: Who will actually turn out? Who's actually going to turn 475 00:25:51,160 --> 00:25:53,560 Speaker 1: out the way that they try to get voters and 476 00:25:53,560 --> 00:25:57,119 Speaker 1: everything like that. If those are if nothing's changed, Trump 477 00:25:57,160 --> 00:26:01,119 Speaker 1: is absolutely going to win absolut freaking lutely. He outperforms 478 00:26:01,160 --> 00:26:04,480 Speaker 1: the polls by quite a bit, and he's he's winning 479 00:26:04,800 --> 00:26:08,680 Speaker 1: just straight up right now, most likely in the way 480 00:26:08,720 --> 00:26:11,000 Speaker 1: he outperforms the polls, He's easily going to win. The 481 00:26:11,040 --> 00:26:13,800 Speaker 1: only question is, and again, nobody knows this, and anybody 482 00:26:13,800 --> 00:26:15,719 Speaker 1: who claims they don't is really full of I mean, 483 00:26:15,880 --> 00:26:18,679 Speaker 1: do is full of crape. Nobody knows if it's if 484 00:26:18,800 --> 00:26:23,679 Speaker 1: everything is changed, Trump could be he could be polling 485 00:26:23,720 --> 00:26:26,000 Speaker 1: better than his actual performance. Now, I mean, you don't know. 486 00:26:26,080 --> 00:26:29,919 Speaker 1: Things can change a lot in eight years, right, So 487 00:26:30,040 --> 00:26:31,959 Speaker 1: it's all about whether or not the polling models are 488 00:26:32,000 --> 00:26:33,880 Speaker 1: right or not. But if they're right, he's absolutely going 489 00:26:33,920 --> 00:26:36,440 Speaker 1: to win. There's some people arguing out there that things 490 00:26:36,480 --> 00:26:38,720 Speaker 1: have flipped the way it used to be for Democrats, 491 00:26:38,760 --> 00:26:43,200 Speaker 1: that when you see a big number nationally, it's because 492 00:26:43,240 --> 00:26:45,720 Speaker 1: there's so many California voters. Yes, well, that doesn't do 493 00:26:45,760 --> 00:26:47,520 Speaker 1: you any good, because only you get the same number 494 00:26:47,520 --> 00:26:49,440 Speaker 1: of electoral votes, whether you win all of them, are 495 00:26:50,040 --> 00:26:51,080 Speaker 1: fifty one percent of them. 496 00:26:51,119 --> 00:26:54,160 Speaker 4: Then add in New York and Massachusetts and your other 497 00:26:54,359 --> 00:26:55,679 Speaker 4: populous Eastern states. 498 00:26:55,760 --> 00:26:58,359 Speaker 1: But there are a number of people arguing, including Nate 499 00:26:58,440 --> 00:27:02,639 Speaker 1: ConA The New York Times and Old Nate Silver, the 500 00:27:02,680 --> 00:27:06,200 Speaker 1: two Nates that Trump is now kind of in that category. 501 00:27:06,240 --> 00:27:10,120 Speaker 1: He's dominating so much in places like Florida, for instance, 502 00:27:10,560 --> 00:27:12,919 Speaker 1: that that is exaggerating that number. And the same thing 503 00:27:12,960 --> 00:27:15,480 Speaker 1: applies that even if you get one hundred percent of 504 00:27:15,480 --> 00:27:18,320 Speaker 1: the Republicans in Florida doesn't change the number of electoral 505 00:27:18,400 --> 00:27:18,840 Speaker 1: votes you. 506 00:27:18,800 --> 00:27:23,400 Speaker 4: Get, right, which is why please swing state poles. 507 00:27:22,440 --> 00:27:26,080 Speaker 1: As states are getting insive, redder and bluer. It's working 508 00:27:26,119 --> 00:27:28,280 Speaker 1: both ways. You know, you get all of the red 509 00:27:28,359 --> 00:27:30,280 Speaker 1: votes in the red states. But right so, I don't know. 510 00:27:30,400 --> 00:27:33,159 Speaker 1: It's all about whether the polling models are right or not. 511 00:27:33,200 --> 00:27:35,800 Speaker 1: But if they're if they are correct the way they 512 00:27:35,800 --> 00:27:39,040 Speaker 1: have been, Trump's as a freaking colutely gonna win and 513 00:27:39,080 --> 00:27:41,000 Speaker 1: it's gonna be so fun to watch. 514 00:27:41,480 --> 00:27:45,479 Speaker 4: On a slightly different topic, headline a story that has 515 00:27:45,520 --> 00:27:49,480 Speaker 4: gratified my soul. Again, we're not winning or just at 516 00:27:49,480 --> 00:27:51,679 Speaker 4: the end of the beginning where we realize we're in 517 00:27:51,720 --> 00:27:54,920 Speaker 4: a fight more and more people against the neo Marxists. 518 00:27:55,720 --> 00:28:01,600 Speaker 4: Transgender sports is a sleeper issue. You in a number 519 00:28:01,600 --> 00:28:05,560 Speaker 4: of very very close Senate races. Speaking of Hispanic vote, 520 00:28:05,560 --> 00:28:06,240 Speaker 4: and black voting. 521 00:28:06,359 --> 00:28:10,600 Speaker 1: Exactly how many male black voters like the idea of 522 00:28:10,960 --> 00:28:14,520 Speaker 1: dudes participating in girls' sports? Right? Right? Is what a 523 00:28:14,600 --> 00:28:15,359 Speaker 1: crazy notion? 524 00:28:15,600 --> 00:28:18,600 Speaker 4: Or Dad's there, They're little boy being talked into becoming 525 00:28:18,600 --> 00:28:23,080 Speaker 4: a little girl. Anyway, you know, I think the editorial 526 00:28:23,080 --> 00:28:24,800 Speaker 4: board of the Journal made a good point that every 527 00:28:24,920 --> 00:28:27,760 Speaker 4: election issue you have, or every election rather, you have 528 00:28:27,840 --> 00:28:31,400 Speaker 4: issues that are predictable. Abortion, in the economy, it's just immigration. 529 00:28:32,280 --> 00:28:35,760 Speaker 4: But then there are also some that surprised the political class. 530 00:28:35,800 --> 00:28:39,719 Speaker 4: And this year one sleeper issue is progressive transgender coercion, 531 00:28:40,080 --> 00:28:42,800 Speaker 4: as they put it, which is playing against Democrats and 532 00:28:42,880 --> 00:28:47,320 Speaker 4: races across the country. And you know what's kind of 533 00:28:48,120 --> 00:28:51,520 Speaker 4: a tangent to this is, for instance, Shared Brown is 534 00:28:51,760 --> 00:28:54,760 Speaker 4: running in Ohio and there's an ad running against him 535 00:28:54,760 --> 00:28:57,040 Speaker 4: in which a narrator says, mister Brown is too liberal 536 00:28:57,040 --> 00:29:00,440 Speaker 4: for Ohio. He voted to let trendsgender by a logical 537 00:29:00,480 --> 00:29:03,440 Speaker 4: men participate in women's sports, and one of the big 538 00:29:03,520 --> 00:29:07,200 Speaker 4: news stations fact checked it and declared it false, even though, 539 00:29:07,200 --> 00:29:13,520 Speaker 4: as the editorial board points out, it's completely true. 540 00:29:12,480 --> 00:29:14,240 Speaker 1: And they really torture the argument. 541 00:29:14,240 --> 00:29:16,240 Speaker 4: It has to do with funding for schools and you 542 00:29:16,280 --> 00:29:19,200 Speaker 4: can't have funding if you do this, And they said, well, 543 00:29:19,240 --> 00:29:20,800 Speaker 4: he voted against a funding bill. 544 00:29:20,880 --> 00:29:23,800 Speaker 1: Not transgender anyway. Tortured logic. 545 00:29:25,040 --> 00:29:28,240 Speaker 4: But they go into several different races in several different 546 00:29:28,280 --> 00:29:39,280 Speaker 4: states Wisconsin, Montana, and the poll numbers are terrible for transgender, 547 00:29:39,520 --> 00:29:42,680 Speaker 4: for men competing in women's sports. And it's funny they 548 00:29:42,800 --> 00:29:48,480 Speaker 4: use the term declared male at birth. No, you're either 549 00:29:48,600 --> 00:29:52,560 Speaker 4: male or female. You can declare me a wombat. I'm 550 00:29:52,680 --> 00:29:57,040 Speaker 4: still a male human being. Declaring got nothing to do 551 00:29:57,120 --> 00:30:01,440 Speaker 4: with it. I declare Mars a sack of groceries. No, 552 00:30:01,560 --> 00:30:05,400 Speaker 4: it's still the planet Mars, or was I. Last year, 553 00:30:05,520 --> 00:30:09,000 Speaker 4: sixty nine percent of Americans told Gallup that quote, transgender 554 00:30:09,040 --> 00:30:11,520 Speaker 4: athletes should only be allowed to compete on sports teams 555 00:30:11,600 --> 00:30:14,240 Speaker 4: that confirm with their birth gender. Again, don't even use 556 00:30:14,240 --> 00:30:18,479 Speaker 4: the term birth gender, because that they're pulling you into it. 557 00:30:18,480 --> 00:30:21,520 Speaker 4: It's not bigotry for most Americans. It's a matter of fairness, 558 00:30:21,640 --> 00:30:24,959 Speaker 4: Title nine, et cetera. Not long ago, most Democrats believed 559 00:30:24,960 --> 00:30:27,640 Speaker 4: in that principle, But these days, the hard edge of 560 00:30:27,680 --> 00:30:30,640 Speaker 4: the transgender movement has dictated that its view of gender 561 00:30:30,720 --> 00:30:36,000 Speaker 4: must be imposed nationwide. Senate Democrats have towed that line. 562 00:30:36,400 --> 00:30:41,959 Speaker 1: So it's so easy to explain this, As the New 563 00:30:42,040 --> 00:30:44,480 Speaker 1: York Times said, the Republicans are going to take back 564 00:30:44,560 --> 00:30:47,440 Speaker 1: the Senate. They just splait out stated that last week. 565 00:30:47,680 --> 00:30:49,640 Speaker 1: Republicans already have the House and are probably going to 566 00:30:49,760 --> 00:30:52,200 Speaker 1: keep it, and then Trump's going to Trump's likely to win, 567 00:30:52,200 --> 00:30:55,120 Speaker 1: So they're going to have all three branches and you know, 568 00:30:55,200 --> 00:30:58,240 Speaker 1: the spring everything, and they've got a governor. 569 00:30:58,240 --> 00:30:58,480 Speaker 4: Wow. 570 00:30:59,440 --> 00:31:03,480 Speaker 1: Right, But it'd be so easy to explain it. All 571 00:31:03,520 --> 00:31:08,520 Speaker 1: this crazy crap most people don't like. It's not hard 572 00:31:08,560 --> 00:31:11,440 Speaker 1: to explain. Yes, people don't like open porters, they don't 573 00:31:11,480 --> 00:31:16,920 Speaker 1: like all this pronoun stuff. Then it's not difficult. It's nice. 574 00:31:17,360 --> 00:31:19,800 Speaker 1: You don't have to be a political science major, like 575 00:31:19,840 --> 00:31:22,640 Speaker 1: to really dig into the numbers to figure this out. Yeah, 576 00:31:22,680 --> 00:31:25,160 Speaker 1: all this crazy stuff you're pushing in the mainstream media, 577 00:31:25,360 --> 00:31:27,680 Speaker 1: most people think that's nuts. 578 00:31:28,200 --> 00:31:30,920 Speaker 4: And if Trump wasn't so disliked, if it was a 579 00:31:30,960 --> 00:31:35,360 Speaker 4: fairly likable average Republican, they would win forty three states. 580 00:31:35,400 --> 00:31:40,520 Speaker 1: Right, and if Kamala Harris wins, it's the guy he 581 00:31:40,640 --> 00:31:43,840 Speaker 1: encouraged people to storm the Capitol. He watched and was 582 00:31:43,840 --> 00:31:47,719 Speaker 1: happy about it. Yeah the end. Yeah, so either way. 583 00:31:47,760 --> 00:31:49,960 Speaker 1: It's pretty easy to explain. The strange time. I think 584 00:31:49,960 --> 00:31:56,280 Speaker 1: he's gonna win. Willing to bet on it? No, God, 585 00:31:56,320 --> 00:32:00,000 Speaker 1: anybody who would bet based on this polling is be crazy, right, 586 00:32:01,640 --> 00:32:05,600 Speaker 1: that's uh we we this is not for now. Yeah, 587 00:32:06,000 --> 00:32:08,200 Speaker 1: oh that's it. I got confused, right right. 588 00:32:08,640 --> 00:32:11,600 Speaker 4: Hanson filling in for Michaelangelo is sending us mixed signals 589 00:32:11,640 --> 00:32:15,760 Speaker 4: through our it's it's mixed signals Michael through our ears. 590 00:32:16,360 --> 00:32:17,840 Speaker 4: Do we know where he went? Did he say where 591 00:32:17,840 --> 00:32:18,120 Speaker 4: he went? 592 00:32:18,320 --> 00:32:22,120 Speaker 1: No? No, No, he's a famous celebrity. You can't say that. 593 00:32:22,520 --> 00:32:25,560 Speaker 1: Do you think Michael Angel anniversary trip? He and his 594 00:32:25,600 --> 00:32:28,240 Speaker 1: wife are four year anniversary and they're doing something. My god, 595 00:32:28,240 --> 00:32:32,640 Speaker 1: it's four furry convention. No he isn't, Hanson. I think 596 00:32:32,680 --> 00:32:35,800 Speaker 1: he's in Fresno. Doesn't he go to Fresno? There a 597 00:32:35,840 --> 00:32:40,080 Speaker 1: lot of the Paris, of the planes, exactly of the planes. 598 00:32:40,120 --> 00:32:42,000 Speaker 1: All right, let's go to break all right, more of 599 00:32:42,000 --> 00:32:47,840 Speaker 1: the ways stay here. I like that music, Hansen, whatever 600 00:32:47,840 --> 00:32:52,160 Speaker 1: it is, that's kirvy. I don't know much about this. 601 00:32:53,360 --> 00:32:58,440 Speaker 1: One hundred troops were sending to Israel and new equipment 602 00:32:58,440 --> 00:33:01,720 Speaker 1: for shooting down missiles. I have to up on that I. 603 00:33:01,320 --> 00:33:05,040 Speaker 4: Think it's probably closely related those two things. I'll bet 604 00:33:05,200 --> 00:33:06,600 Speaker 4: they help run and trust. 605 00:33:06,640 --> 00:33:09,880 Speaker 1: Yeah, yes, I assume that, But why now? 606 00:33:09,960 --> 00:33:15,120 Speaker 4: And I always assume we have troops and spooks and 607 00:33:15,320 --> 00:33:18,080 Speaker 4: trainers and oh yeah, military folks in Israel. 608 00:33:18,160 --> 00:33:21,520 Speaker 1: Oh yeah. I mentioned this like practically every day. But 609 00:33:21,560 --> 00:33:24,880 Speaker 1: I'm still reading the David Sanger book New Cold Wars 610 00:33:24,960 --> 00:33:29,080 Speaker 1: and talking about early in the war in Ukraine, where 611 00:33:29,080 --> 00:33:31,560 Speaker 1: we're trying to make it so clear that the United 612 00:33:31,600 --> 00:33:34,160 Speaker 1: States isn't involved. You're not a war with US, You're 613 00:33:34,160 --> 00:33:36,240 Speaker 1: a war with NATO or Ukraine or whatever. You're not 614 00:33:36,280 --> 00:33:38,520 Speaker 1: a war with NATO, You're not worth with the United States. Anyway. 615 00:33:38,640 --> 00:33:41,600 Speaker 1: We got some of our top people meeting on the border, 616 00:33:41,720 --> 00:33:45,200 Speaker 1: like standing on the other side of the border in Poland, 617 00:33:45,400 --> 00:33:48,440 Speaker 1: so we can talk to Ukrainian leaders and tell them 618 00:33:48,480 --> 00:33:50,880 Speaker 1: what they need to do, but won't step foot across 619 00:33:50,880 --> 00:33:54,840 Speaker 1: the border. What Ukraine thought was hilarious, but they made 620 00:33:54,840 --> 00:33:57,600 Speaker 1: it clear that Joe Biden says, absolutely no, we can't 621 00:33:57,600 --> 00:34:00,680 Speaker 1: be seen being involved in any way. Wow. They actually 622 00:34:00,680 --> 00:34:02,720 Speaker 1: meet on the border so they can tell them, Look, 623 00:34:02,720 --> 00:34:04,600 Speaker 1: this is all the information we've got. You didn't hear 624 00:34:04,640 --> 00:34:06,160 Speaker 1: from us. Wow. 625 00:34:06,760 --> 00:34:09,400 Speaker 4: Nuts so the media wouldn't wed its pants about boots 626 00:34:09,400 --> 00:34:11,239 Speaker 4: on the ground. Although I suppose, you know, it's a 627 00:34:11,360 --> 00:34:14,080 Speaker 4: legitimate concern, I shouldn't have said with our pants. I 628 00:34:14,200 --> 00:34:18,000 Speaker 4: just like I say, we have special forces all over 629 00:34:18,000 --> 00:34:23,040 Speaker 4: the world in incredibly dangerous places right now. In fact, 630 00:34:23,640 --> 00:34:26,520 Speaker 4: Next Hour got a feature ed on what's going on 631 00:34:26,600 --> 00:34:27,120 Speaker 4: in Africa? 632 00:34:27,280 --> 00:34:28,560 Speaker 1: What's up with Africa? 633 00:34:29,320 --> 00:34:31,400 Speaker 4: If you don't get Next Hour, grab it via podcasts, 634 00:34:31,400 --> 00:34:35,440 Speaker 4: subscribe Armstrong and Getty on demand. But anyway, so I 635 00:34:35,440 --> 00:34:40,240 Speaker 4: don't I just if they're infantrymen sent to fight, that's 636 00:34:40,280 --> 00:34:44,600 Speaker 4: boots on the ground. Some general meeting on strategy in 637 00:34:44,640 --> 00:34:47,320 Speaker 4: some town I've never heard of, you know, one hundred 638 00:34:47,320 --> 00:34:48,560 Speaker 4: miles outside of Kiev. 639 00:34:48,520 --> 00:34:51,160 Speaker 1: Not that worried about it. No, and no normal person 640 00:34:51,160 --> 00:34:52,640 Speaker 1: being we shouldn't equivocate the two. 641 00:34:52,880 --> 00:34:52,960 Speaker 8: No. 642 00:34:53,120 --> 00:34:55,600 Speaker 1: And one of the things was so we have so 643 00:34:55,840 --> 00:34:59,360 Speaker 1: much more capability than I hope anybody else in the world, 644 00:35:00,000 --> 00:35:03,040 Speaker 1: certainly than Ukraine did to just bring in all kinds 645 00:35:03,040 --> 00:35:06,799 Speaker 1: of information from satellites and hacking into things and all 646 00:35:06,800 --> 00:35:09,080 Speaker 1: that sort of stuff. Anyway, we're helping out Ukraine there 647 00:35:09,080 --> 00:35:12,640 Speaker 1: in the beginning, and trying to hint like they would 648 00:35:12,719 --> 00:35:15,319 Speaker 1: hint at things. We can't say where, but it might 649 00:35:15,360 --> 00:35:17,359 Speaker 1: be a good idea if a place by a river 650 00:35:17,520 --> 00:35:20,239 Speaker 1: got a little more scrutiny. I mean, it's just dump heap. 651 00:35:20,360 --> 00:35:22,640 Speaker 1: I know, it's just dumb that we play this game. 652 00:35:22,719 --> 00:35:27,200 Speaker 1: But anyway, at one point one of the Ukraine people said, 653 00:35:28,000 --> 00:35:30,640 Speaker 1: why don't you just join our side? Why don't you 654 00:35:30,719 --> 00:35:33,560 Speaker 1: just fight on our side? Russia is an evil country, 655 00:35:33,640 --> 00:35:35,560 Speaker 1: just like you know, what's with all this kind of 656 00:35:35,640 --> 00:35:38,160 Speaker 1: happen us A little bit hinting whatever. I mean, you 657 00:35:38,239 --> 00:35:40,040 Speaker 1: have the ability to stop this. Why don't you just 658 00:35:40,040 --> 00:35:42,840 Speaker 1: stop it? It would be very frustrated. Sure, but the 659 00:35:42,920 --> 00:35:46,880 Speaker 1: whole chapter about modern warfare was so fascinating to me. 660 00:35:47,239 --> 00:35:50,399 Speaker 1: So I like the Twitter feed. We mentioned a lot 661 00:35:50,440 --> 00:35:54,520 Speaker 1: the open source intelligence. There is so much stuff floating 662 00:35:54,560 --> 00:35:56,920 Speaker 1: around in the world that anybody can grab, but you 663 00:35:57,000 --> 00:35:58,759 Speaker 1: have to be smart enough to know which stuff to 664 00:35:58,800 --> 00:36:00,879 Speaker 1: grab and how to put it together. And we're better 665 00:36:00,920 --> 00:36:04,799 Speaker 1: at that than anybody else in the world. Interesting. Yeah, So, 666 00:36:04,880 --> 00:36:05,440 Speaker 1: in addition to. 667 00:36:05,480 --> 00:36:09,400 Speaker 4: The African thing, next Hour one final kicking of CBS 668 00:36:09,440 --> 00:36:14,880 Speaker 4: News for the recent politically correct bias, woke garbage and 669 00:36:15,080 --> 00:36:20,600 Speaker 4: the incredible, incredible hypocrisy of Gavin Newsom outlawing legacy admissions 670 00:36:20,600 --> 00:36:21,280 Speaker 4: to colleges. 671 00:36:21,440 --> 00:36:23,760 Speaker 1: They were armstrong and getty