1 00:00:01,880 --> 00:00:06,160 Speaker 1: Broadcasting live from the Abraham Lincoln Radio Studio the George 2 00:00:06,200 --> 00:00:10,280 Speaker 1: Washington Broadcast Center, Jack Armstrong and Joe, Ketty. 3 00:00:10,200 --> 00:00:17,239 Speaker 2: Armstrong and Jettie and now he Armstrong and Yetty. 4 00:00:23,440 --> 00:00:27,320 Speaker 3: Ten people in Paris have been convicted of cyberbullying France's 5 00:00:27,360 --> 00:00:30,520 Speaker 3: First Lady, Bridget Macrone, by spreading false claims that she's 6 00:00:30,560 --> 00:00:33,199 Speaker 3: a transgender woman who was born male. The eight men 7 00:00:33,240 --> 00:00:36,519 Speaker 3: and two women were also found guilty of making malicious comments, 8 00:00:36,640 --> 00:00:39,360 Speaker 3: including equating the twenty four year age gap between the 9 00:00:39,360 --> 00:00:42,800 Speaker 3: First Lady and her husband, President Emmanuel Macrone. The pedophilia 10 00:00:43,080 --> 00:00:46,280 Speaker 3: ruling comm says the Macrones pursue a separate defamation case 11 00:00:46,280 --> 00:00:49,840 Speaker 3: in the US against right wing influencer Candice Owens, who 12 00:00:49,840 --> 00:00:52,840 Speaker 3: has also claimed Bridget Macrone was born a man. 13 00:00:53,400 --> 00:00:56,240 Speaker 4: It's interesting to me that it could be illegal anywhere 14 00:00:56,360 --> 00:01:01,320 Speaker 4: for claiming Bridget Macrone is a dude cyberboling. I just 15 00:01:01,320 --> 00:01:03,960 Speaker 4: don't understand how stuff like that is illegal. And first 16 00:01:04,000 --> 00:01:07,240 Speaker 4: of all, show us your genitals solve the whole problem. 17 00:01:07,240 --> 00:01:10,200 Speaker 4: Oh my lord, you're a real gentleman. Some sort of 18 00:01:10,200 --> 00:01:14,920 Speaker 4: prime time special for adults only. Oh you have the 19 00:01:14,959 --> 00:01:17,679 Speaker 4: first Lady of France come out she wears those very 20 00:01:17,680 --> 00:01:18,360 Speaker 4: short skirts. 21 00:01:18,440 --> 00:01:20,160 Speaker 2: All she's got to do is lift it up. 22 00:01:21,560 --> 00:01:26,480 Speaker 5: The RC Triumph and get on with our lives. Exactly, yeah, 23 00:01:26,600 --> 00:01:29,880 Speaker 5: exactly or disgusting. 24 00:01:30,160 --> 00:01:31,640 Speaker 2: You know, I don't know. 25 00:01:31,720 --> 00:01:35,120 Speaker 5: The Admiral Nelson Tower. I don't know what's actually going 26 00:01:35,160 --> 00:01:35,759 Speaker 5: on under there. 27 00:01:37,000 --> 00:01:38,200 Speaker 2: Come on the Eiffel Tower. 28 00:01:38,440 --> 00:01:41,640 Speaker 5: Obviously all the lord that was a swinging amiss. 29 00:01:41,760 --> 00:01:44,400 Speaker 2: It was a good The concept is perfect. Oh I 30 00:01:44,440 --> 00:01:47,280 Speaker 2: love the concert. The execution was no good. Does she 31 00:01:47,319 --> 00:01:48,960 Speaker 2: have the Eiffel Tower under there or not? 32 00:01:51,520 --> 00:01:55,280 Speaker 5: Or the uh what the equivalent of the well, I'm 33 00:01:55,320 --> 00:01:55,960 Speaker 5: not going there? 34 00:01:56,040 --> 00:01:56,760 Speaker 2: What is so? 35 00:01:57,080 --> 00:01:59,920 Speaker 4: I don't understand countries that don't have our free speech 36 00:02:00,040 --> 00:02:02,120 Speaker 4: rules for one thing, It just doesn't make any sense 37 00:02:02,160 --> 00:02:02,320 Speaker 4: to me. 38 00:02:02,440 --> 00:02:04,680 Speaker 2: And I also don't understand the whole just ignoring it. 39 00:02:05,280 --> 00:02:07,680 Speaker 4: Why you need to suit people or claiming your wife's 40 00:02:07,720 --> 00:02:10,079 Speaker 4: a dude, she's not. Go ahead and say whatever you want, 41 00:02:10,080 --> 00:02:12,120 Speaker 4: crazy people. Nobody's paying any attention. Do it can go 42 00:02:12,120 --> 00:02:16,000 Speaker 4: on with my life. It's the striishand effect right For 43 00:02:16,080 --> 00:02:18,359 Speaker 4: one thing. Yeah, by getting all up in arms, you 44 00:02:18,480 --> 00:02:19,360 Speaker 4: just draw attention to it. 45 00:02:19,400 --> 00:02:20,919 Speaker 2: Ignorant. Hey, that's stupid. I don't care. 46 00:02:21,840 --> 00:02:25,400 Speaker 5: Wow, Yeah, I know people are just they're wrong. We're 47 00:02:25,440 --> 00:02:30,320 Speaker 5: talking a couple of minutes ago about how the terrible, 48 00:02:30,480 --> 00:02:35,200 Speaker 5: terrible policy of minimum wages, especially like aggressive minimum wages, 49 00:02:35,600 --> 00:02:38,960 Speaker 5: are so universally thought of as a good idea when 50 00:02:39,000 --> 00:02:42,440 Speaker 5: really they're a bad idea, And the idea we're going 51 00:02:42,480 --> 00:02:46,080 Speaker 5: to suppress bad speech. Don't worry, not good speech, just 52 00:02:46,320 --> 00:02:48,720 Speaker 5: bad speech, is the same sort of idea. It's a 53 00:02:48,760 --> 00:02:51,519 Speaker 5: horrible idea, utterly unworkable. It's stupid if you think about 54 00:02:51,560 --> 00:02:53,239 Speaker 5: it for two minutes, but nobody thinks about it for 55 00:02:53,280 --> 00:02:56,920 Speaker 5: two minutes, and so country after country tries it. We 56 00:02:57,000 --> 00:02:59,639 Speaker 5: talked more at length about this to kick off our 57 00:02:59,720 --> 00:03:04,200 Speaker 5: two of the show, specifically about what Australia's up to. 58 00:03:05,040 --> 00:03:07,400 Speaker 5: Urge you to check it out via podcast Armstrong and 59 00:03:07,440 --> 00:03:10,320 Speaker 5: Kittie on demand. It was one of my finer screeds. 60 00:03:10,360 --> 00:03:11,120 Speaker 2: I believe she. 61 00:03:11,000 --> 00:03:13,440 Speaker 4: Flips up her skirt. She's either got the Arctic Triumph 62 00:03:13,520 --> 00:03:14,600 Speaker 4: or the Eiffel Tower. 63 00:03:14,680 --> 00:03:19,280 Speaker 5: That's a pretty good joke. Actually, yeah, that will do. Yes, Yeah, 64 00:03:19,480 --> 00:03:23,160 Speaker 5: send off the Greg Gutfelder or somebody. That's pretty good. 65 00:03:23,720 --> 00:03:26,880 Speaker 4: Speaking of Greg Gutfeld, they were having the conversation about 66 00:03:27,120 --> 00:03:31,080 Speaker 4: Venezuela last night and I don't know how familiar y'all 67 00:03:31,160 --> 00:03:35,080 Speaker 4: are with Kat Timph the Blonde. I think she's a 68 00:03:35,120 --> 00:03:37,600 Speaker 4: comedian is how she started and then became really big 69 00:03:37,640 --> 00:03:39,240 Speaker 4: on Twitter, and she's on the show all the time 70 00:03:39,280 --> 00:03:42,640 Speaker 4: making commentary about various things. There in the conversation about Venezuela, 71 00:03:42,640 --> 00:03:45,200 Speaker 4: and she went on a pretty long screed, starting with 72 00:03:45,360 --> 00:03:48,640 Speaker 4: the idea that it's kind of interesting from a magas 73 00:03:48,640 --> 00:03:54,760 Speaker 4: standpoint that Trump is super for like two decades a. 74 00:03:55,080 --> 00:03:56,240 Speaker 2: It's none of our business. 75 00:03:56,320 --> 00:03:58,960 Speaker 4: We don't need to get involved in these foreign countries guy, 76 00:04:00,320 --> 00:04:03,480 Speaker 4: And then you know we're doing this, although he did 77 00:04:03,520 --> 00:04:06,680 Speaker 4: famously say the big mistake George W. Bush made was 78 00:04:06,720 --> 00:04:08,520 Speaker 4: we didn't take the oil. What's the point of going 79 00:04:08,520 --> 00:04:10,160 Speaker 4: into a rock if you're not going to take the oil. 80 00:04:10,480 --> 00:04:12,880 Speaker 4: And now it looks like, based on everything he said yesterday, 81 00:04:13,040 --> 00:04:15,240 Speaker 4: we're going into Venezuela and we're going to take the 82 00:04:15,280 --> 00:04:18,120 Speaker 4: oil or or somehow get involved with the oil. 83 00:04:19,720 --> 00:04:19,880 Speaker 2: Yeah. 84 00:04:20,240 --> 00:04:22,520 Speaker 5: I don't think Trump has a coherent foreign policy, but 85 00:04:22,600 --> 00:04:24,680 Speaker 5: to the extent he does, it's that you don't get 86 00:04:24,760 --> 00:04:28,840 Speaker 5: screw around in our neighborhood, which I think is perfectly reasonable. Yeah, 87 00:04:28,960 --> 00:04:31,280 Speaker 5: back before I get to what kat Tip said that 88 00:04:31,320 --> 00:04:35,200 Speaker 5: I wanted to discuss. Jeb Bush yesterday tweeted out, Jeb 89 00:04:36,520 --> 00:04:39,080 Speaker 5: hilariously mocked by Trump until he had to leave the 90 00:04:39,120 --> 00:04:42,880 Speaker 5: stage back in twenty sixteen. Our country will be safer 91 00:04:42,920 --> 00:04:45,720 Speaker 5: with the legitimate president of Venezuela in place. Thank you 92 00:04:45,800 --> 00:04:49,400 Speaker 5: Maria Carina Micato for your courage. Thank you President Trump 93 00:04:49,400 --> 00:04:52,680 Speaker 5: and Secretary of Rubio for bringing Maduro to justice. So 94 00:04:52,760 --> 00:04:56,960 Speaker 5: that's a number of Jeb Bush, nice job Trump tweets 95 00:04:57,000 --> 00:05:00,240 Speaker 5: in the last week. Well, yeah, that was u. That 96 00:05:00,360 --> 00:05:02,560 Speaker 5: was a elbow to the the side of the head 97 00:05:02,560 --> 00:05:05,040 Speaker 5: when you weren't looking, because he was saying, it's you 98 00:05:05,120 --> 00:05:08,280 Speaker 5: got to have my shadow in and she's not. That's 99 00:05:08,320 --> 00:05:12,599 Speaker 5: that's We've got the loyalist maduroist vice president in. 100 00:05:12,800 --> 00:05:13,760 Speaker 2: So that was half a shot. 101 00:05:13,760 --> 00:05:15,240 Speaker 5: It depends on whoever he's going to give us the 102 00:05:15,279 --> 00:05:17,559 Speaker 5: oil play ball play ball. 103 00:05:18,000 --> 00:05:20,960 Speaker 4: But anyway, here's what kat Tim said. Did she just 104 00:05:21,000 --> 00:05:22,360 Speaker 4: have a baby? I think I think she just said 105 00:05:22,400 --> 00:05:22,640 Speaker 4: she did. 106 00:05:22,680 --> 00:05:25,279 Speaker 5: Yeah, congratulations, that's Katy, I'm having a baby. 107 00:05:26,640 --> 00:05:30,240 Speaker 4: This I'm not worked up about this story, by the way, 108 00:05:30,400 --> 00:05:32,599 Speaker 4: So I'm not trying to make a point of any kind. 109 00:05:32,720 --> 00:05:37,560 Speaker 4: I'm like, not angry incense that we violated the constitution 110 00:05:37,680 --> 00:05:41,080 Speaker 4: and only Congress declares war. I'm also not super jazz 111 00:05:41,200 --> 00:05:41,800 Speaker 4: that we did this. 112 00:05:41,920 --> 00:05:45,440 Speaker 5: I'm just kind of watching it. Got to wait and see. 113 00:05:47,720 --> 00:05:50,799 Speaker 4: But on the whole idea of we were at war 114 00:05:50,920 --> 00:05:54,840 Speaker 4: with Venezuela with the drug boats and no, this is 115 00:05:54,839 --> 00:05:58,480 Speaker 4: not a war, this is a a Senator Marco Rubio, 116 00:05:58,480 --> 00:06:00,240 Speaker 4: Secretary of State, has said, now this is a this 117 00:06:00,279 --> 00:06:02,760 Speaker 4: is an arrest. Was we went in and arrest him. 118 00:06:02,800 --> 00:06:05,000 Speaker 4: The military were there to back up the law enforcement 119 00:06:05,040 --> 00:06:07,480 Speaker 4: to arrest the guy. And Kat Timp said, this is 120 00:06:07,480 --> 00:06:10,440 Speaker 4: pretty interesting. Let me get this straight. We go to 121 00:06:10,480 --> 00:06:12,840 Speaker 4: a country, we capture their leader, we bomb it, and 122 00:06:12,880 --> 00:06:15,600 Speaker 4: then we say we run this country. Now, that's not war. 123 00:06:16,240 --> 00:06:20,159 Speaker 4: But them sending cocaine here that people are willingly buying, 124 00:06:20,520 --> 00:06:23,200 Speaker 4: that is war. This doesn't make any sense to me. 125 00:06:24,680 --> 00:06:28,560 Speaker 2: Yes, she's right. Yeah. 126 00:06:28,160 --> 00:06:31,920 Speaker 5: The explanations, the pretexts that are given for various actions 127 00:06:32,000 --> 00:06:36,320 Speaker 5: are frequently bull crap. They're just what will fly. What 128 00:06:36,760 --> 00:06:38,760 Speaker 5: we did snatched up with Dora was a handful of 129 00:06:38,800 --> 00:06:39,799 Speaker 5: different things at once. 130 00:06:40,200 --> 00:06:44,000 Speaker 4: Yeah, I thought it was pretty interesting. John Meachum, author 131 00:06:44,200 --> 00:06:46,920 Speaker 4: Polsher Prize winner, wrote a bunch of good ones American Line, 132 00:06:47,080 --> 00:06:50,800 Speaker 4: good book about Andrew Jackson. Anyway, he's on MSNBC all 133 00:06:50,800 --> 00:06:52,719 Speaker 4: the time and he's a super super trumpeter. So I 134 00:06:52,760 --> 00:06:54,640 Speaker 4: was kind of surprised to hear this out of him, 135 00:06:54,680 --> 00:06:57,880 Speaker 4: But he said, and there I was on the topic 136 00:06:57,920 --> 00:06:59,640 Speaker 4: of whether this is an legal move or Trump was 137 00:06:59,640 --> 00:07:02,760 Speaker 4: you know, did something on constitutor already said yeah, I mean, 138 00:07:02,880 --> 00:07:05,960 Speaker 4: you know, these are gray areas. Presidents do these sorts 139 00:07:06,000 --> 00:07:09,200 Speaker 4: of things. They get away with it. They usually fly, 140 00:07:10,000 --> 00:07:12,400 Speaker 4: nothing happens, people bark about it for a while, but 141 00:07:12,440 --> 00:07:14,760 Speaker 4: we move on, and that's probably true. 142 00:07:14,880 --> 00:07:15,560 Speaker 2: What's gonna happen. 143 00:07:16,160 --> 00:07:18,680 Speaker 5: I like Kat and I would have enjoyed being part 144 00:07:18,720 --> 00:07:20,440 Speaker 5: of that conversation with her. What I would say to 145 00:07:20,520 --> 00:07:23,000 Speaker 5: her is, yeah, I absolutely can see the fact that 146 00:07:23,000 --> 00:07:26,080 Speaker 5: there there is no drug problem in the United States 147 00:07:26,080 --> 00:07:26,800 Speaker 5: without demand. 148 00:07:26,920 --> 00:07:29,960 Speaker 2: Nobody's making people take drugs. We have an. 149 00:07:29,840 --> 00:07:33,280 Speaker 5: Insatiable lust for drugs in this country, and it is 150 00:07:33,400 --> 00:07:37,000 Speaker 5: on us. On the other hand, we had a uh, 151 00:07:37,440 --> 00:07:42,400 Speaker 5: not only a dictator and a guy who was welcoming 152 00:07:42,600 --> 00:07:45,480 Speaker 5: China and Iran and Russia. Yeah, I think that's a 153 00:07:45,480 --> 00:07:48,520 Speaker 5: bigger deal to me into the country. Right across the 154 00:07:48,600 --> 00:07:52,000 Speaker 5: Gulf from us. The guy would not play ball. He 155 00:07:52,120 --> 00:07:54,280 Speaker 5: refused in any way to play Paul in the'se right 156 00:07:54,400 --> 00:07:58,120 Speaker 5: across the street from us. Geopolitically, we don't have to 157 00:07:58,160 --> 00:08:00,440 Speaker 5: put up with that. We didn't put up with it. 158 00:08:00,680 --> 00:08:01,280 Speaker 2: Great move. 159 00:08:01,480 --> 00:08:03,320 Speaker 5: What happens now difficult to say. 160 00:08:03,360 --> 00:08:03,920 Speaker 2: We'll have to. 161 00:08:03,840 --> 00:08:06,960 Speaker 4: See, Yeah, the whole Sometimes doing the right thing leads 162 00:08:06,960 --> 00:08:08,000 Speaker 4: to a hard road. 163 00:08:08,280 --> 00:08:10,320 Speaker 2: I think we've all dealt with that in our real lives. 164 00:08:10,640 --> 00:08:12,440 Speaker 5: Just because you do the right thing doesn't mean your 165 00:08:12,440 --> 00:08:15,200 Speaker 5: life becomes easy. Sometimes doing the right thing makes your 166 00:08:15,200 --> 00:08:18,360 Speaker 5: life harder, but that doesn't mean it's not the right thing. 167 00:08:20,640 --> 00:08:23,880 Speaker 4: I think it's a much bigger deal that you know, 168 00:08:23,880 --> 00:08:26,360 Speaker 4: they were getting around our oil embargoes with Russia and 169 00:08:26,360 --> 00:08:29,240 Speaker 4: all that sort of stuff in Iran and China being there, 170 00:08:29,280 --> 00:08:32,559 Speaker 4: And that's to me way bigger deal than senin US drugs. 171 00:08:32,840 --> 00:08:35,120 Speaker 5: Oh yeah, I would agree, I would agree completely. And 172 00:08:35,160 --> 00:08:38,120 Speaker 5: the fact that they're a national security threat in general 173 00:08:38,760 --> 00:08:44,440 Speaker 5: the drug thing is totally uncool. But again, uh eh, 174 00:08:44,480 --> 00:08:45,960 Speaker 5: we've got some complicity in this. 175 00:08:46,360 --> 00:08:49,040 Speaker 4: So can fishermen there in Venezuela get back in their 176 00:08:49,040 --> 00:08:51,640 Speaker 4: boats and go out there and feel fairly secure that. 177 00:08:52,880 --> 00:08:55,000 Speaker 5: I think they could probably go ahead and run their 178 00:08:55,040 --> 00:08:56,040 Speaker 5: sport fishing tournament. 179 00:08:56,120 --> 00:08:56,360 Speaker 2: Now. 180 00:08:56,840 --> 00:08:59,840 Speaker 5: I'd get it done like quick the next couple of days. 181 00:09:01,320 --> 00:09:02,880 Speaker 4: By the way, I don't remember if I said this 182 00:09:02,960 --> 00:09:06,000 Speaker 4: yesterday or not, but I meant to Marco Rubio is 183 00:09:06,160 --> 00:09:09,680 Speaker 4: flipping good. Oh yeah, but that sort of stuff. He 184 00:09:09,880 --> 00:09:13,640 Speaker 4: is really good. You cannot corner Marco Rubio. He does 185 00:09:13,760 --> 00:09:16,760 Speaker 4: that hole how dare you ask me? And I'm usually 186 00:09:16,760 --> 00:09:19,000 Speaker 4: turned off by that sort of tone. But he's really 187 00:09:19,000 --> 00:09:20,920 Speaker 4: good at the How could you be so stupid to 188 00:09:20,920 --> 00:09:25,000 Speaker 4: not understand what I'm saying. He's just really really good at. 189 00:09:24,920 --> 00:09:27,959 Speaker 5: It, right, And I think he stopped short of being 190 00:09:28,000 --> 00:09:31,840 Speaker 5: a dick about it or absolutely. It's kind of amazing 191 00:09:31,840 --> 00:09:35,199 Speaker 5: he was never elected president or got denomination because he's really. 192 00:09:34,920 --> 00:09:35,360 Speaker 2: Good at that. 193 00:09:35,720 --> 00:09:38,880 Speaker 5: Well, because Trump came out of nowhere and humiliated him. Right, 194 00:09:40,880 --> 00:09:45,200 Speaker 5: little Marco, I've never seen anybody so thirsty. Let's see 195 00:09:45,200 --> 00:09:48,720 Speaker 5: where did I'm looking at yesterday's clips because we had it. 196 00:09:48,600 --> 00:09:52,360 Speaker 4: And he says he won't run in twenty eight if 197 00:09:53,320 --> 00:09:56,040 Speaker 4: jd Vance runs, and Jade Vance is going to run, 198 00:09:56,080 --> 00:09:58,319 Speaker 4: so I guess Marco's just never going to be president. 199 00:09:58,400 --> 00:10:02,400 Speaker 2: Although he is quite young. He might be. 200 00:10:02,800 --> 00:10:06,760 Speaker 4: Maybe he thinks after Trump, it'll go the Democrats away 201 00:10:06,800 --> 00:10:10,960 Speaker 4: most likely, just as the swing of history, and he'll 202 00:10:10,960 --> 00:10:12,080 Speaker 4: come back four years later. 203 00:10:12,640 --> 00:10:15,960 Speaker 5: Well, remember he got out of government, or he tried, 204 00:10:16,000 --> 00:10:18,800 Speaker 5: and the Republican Party begged him to run for reelection 205 00:10:18,840 --> 00:10:21,280 Speaker 5: as senator because they knew he would win, but he 206 00:10:21,360 --> 00:10:23,839 Speaker 5: was tired of it. But yeah, he's really really good 207 00:10:23,840 --> 00:10:25,960 Speaker 5: at it. And he's also a really savvy operator. I 208 00:10:25,960 --> 00:10:28,600 Speaker 5: could see him. I can't read his mind, but I 209 00:10:28,640 --> 00:10:29,680 Speaker 5: could see him thinking. 210 00:10:30,800 --> 00:10:31,040 Speaker 2: JD. 211 00:10:31,200 --> 00:10:36,400 Speaker 5: Vance is super smart, but he's a loose cannon's the 212 00:10:36,440 --> 00:10:41,280 Speaker 5: wrong term. But he he's bold enough that he might 213 00:10:41,480 --> 00:10:45,160 Speaker 5: really miscalculate something. And if I just stand back as 214 00:10:45,200 --> 00:10:48,439 Speaker 5: the loyal MAGA guy, I'm the clear next choice. We'll 215 00:10:48,440 --> 00:10:50,040 Speaker 5: see how it goes with JB. Because I don't want 216 00:10:50,040 --> 00:10:51,439 Speaker 5: to take him on head to For me. 217 00:10:52,160 --> 00:10:59,679 Speaker 4: Vance comes off as two calculatingly transparently calculating, just like 218 00:11:00,240 --> 00:11:03,480 Speaker 4: obviously changing is this or that at. 219 00:11:03,320 --> 00:11:04,079 Speaker 2: The right time? 220 00:11:04,240 --> 00:11:07,640 Speaker 4: But whatever, he might be the nominating I yeah, and 221 00:11:07,679 --> 00:11:11,319 Speaker 4: I get dinged for not only bringing up the twenty 222 00:11:11,320 --> 00:11:15,559 Speaker 4: eight presidential election, but the twenty thirty two presidential election. 223 00:11:15,640 --> 00:11:17,920 Speaker 2: Oh good, Although it became I became a Warner the 224 00:11:17,960 --> 00:11:18,319 Speaker 2: other day. 225 00:11:18,400 --> 00:11:21,000 Speaker 4: My son will be voting in the twenty eight presidential election, 226 00:11:21,080 --> 00:11:22,800 Speaker 4: which I find horrifying. 227 00:11:23,040 --> 00:11:24,160 Speaker 2: How is that even possible? 228 00:11:24,440 --> 00:11:26,920 Speaker 5: And the Democrats want to give sixteen year olds the 229 00:11:27,000 --> 00:11:31,200 Speaker 5: right to vote? Well, actually, progressives around the world want 230 00:11:31,240 --> 00:11:35,720 Speaker 5: that because they know children fall for their fairy tale policies. 231 00:11:36,280 --> 00:11:39,760 Speaker 5: It's insidious. Eh, these are the things they get me 232 00:11:39,760 --> 00:11:40,520 Speaker 5: shown up for work. 233 00:11:42,120 --> 00:11:42,360 Speaker 2: Yeah. 234 00:11:42,400 --> 00:11:45,800 Speaker 5: When Marco was talking to Margaret Brennan and she says, well, 235 00:11:46,440 --> 00:11:48,959 Speaker 5: if you are trying to, you know, remove the regime, 236 00:11:49,000 --> 00:11:50,760 Speaker 5: why didn't you pick up all of its laters? 237 00:11:50,880 --> 00:11:52,880 Speaker 2: And he said, what I just told you? 238 00:11:52,880 --> 00:11:55,440 Speaker 5: How incredibly large and complex that operation was. 239 00:11:55,640 --> 00:11:57,920 Speaker 2: You wanted us to do it times five in a 240 00:11:57,960 --> 00:12:00,000 Speaker 2: single night. How's that gonna work? Mark? 241 00:12:00,360 --> 00:12:03,120 Speaker 5: Yeah, dip ass, You didn't say that last thing, but 242 00:12:03,200 --> 00:12:03,640 Speaker 5: he should have. 243 00:12:04,920 --> 00:12:07,720 Speaker 4: So why did I need to use Google Translate for 244 00:12:07,760 --> 00:12:10,440 Speaker 4: the first time in my life? In an episode with 245 00:12:10,480 --> 00:12:13,120 Speaker 4: the Maids at a hotel the other day? Among other things? 246 00:12:13,679 --> 00:12:18,439 Speaker 4: Coming up on the Armstrung and Giddy show, arm Strong, Heyetty. 247 00:12:19,240 --> 00:12:23,600 Speaker 1: In America's record smashing flu season getting even worse. New 248 00:12:23,679 --> 00:12:27,040 Speaker 1: CDC data shows flu cases spiked more than seven percent 249 00:12:27,120 --> 00:12:29,920 Speaker 1: in a one week period, with severe cases rising. Two 250 00:12:30,320 --> 00:12:33,680 Speaker 1: forty five states now reporting high or very high flu 251 00:12:33,760 --> 00:12:36,920 Speaker 1: activity and the number of outpatient doctor visits for flu 252 00:12:37,080 --> 00:12:39,199 Speaker 1: like illnesses hitting record levels. 253 00:12:39,320 --> 00:12:42,480 Speaker 4: Hmmm, record breaking flu season. Do you get the flu shot? 254 00:12:42,520 --> 00:12:46,240 Speaker 4: I don't remember. I have a semi frequently. I heard 255 00:12:46,320 --> 00:12:47,280 Speaker 4: through the grape vine. 256 00:12:47,320 --> 00:12:50,320 Speaker 5: Who knows that this year it didn't match up well 257 00:12:50,360 --> 00:12:52,960 Speaker 5: with the actual strains that are going around because they 258 00:12:53,000 --> 00:12:54,959 Speaker 5: have to predict it, try to predict it to make 259 00:12:55,000 --> 00:12:55,600 Speaker 5: it in advance. 260 00:12:55,600 --> 00:12:56,560 Speaker 2: But I think I don't know. 261 00:12:56,760 --> 00:12:58,400 Speaker 5: I think I have once in my life, and I 262 00:12:58,440 --> 00:13:00,640 Speaker 5: don't feel like it's made any different. I get two 263 00:13:00,760 --> 00:13:02,840 Speaker 5: years out of three, Probably I do. 264 00:13:02,960 --> 00:13:04,640 Speaker 2: But hey, do you get the flu shot? 265 00:13:04,880 --> 00:13:06,200 Speaker 5: No? I never have, never have. 266 00:13:08,200 --> 00:13:14,160 Speaker 2: Young and strong. Now we're weak and old. Heasing grade. 267 00:13:14,240 --> 00:13:16,560 Speaker 4: We one mild illness could do us, and so we 268 00:13:16,600 --> 00:13:20,760 Speaker 4: got to be careful. This is kind of semi interesting. 269 00:13:20,960 --> 00:13:23,600 Speaker 4: So NASCAR racing. I don't follow NASCAR, but they had 270 00:13:23,640 --> 00:13:24,239 Speaker 4: a commissioner. 271 00:13:24,280 --> 00:13:24,640 Speaker 2: First time. 272 00:13:24,640 --> 00:13:27,240 Speaker 4: They decided they need a sports commissioner like Major League 273 00:13:27,280 --> 00:13:29,719 Speaker 4: Baseball does and NFL does. They hired a commissioner, this guy, 274 00:13:29,760 --> 00:13:31,920 Speaker 4: Steve Phelps. Where there's some sort of court case going 275 00:13:31,960 --> 00:13:33,199 Speaker 4: on that I'm not going to get into because I 276 00:13:33,200 --> 00:13:36,560 Speaker 4: don't care, involves Michael Jordan. Weirdly, because lots of athletes, 277 00:13:37,160 --> 00:13:39,320 Speaker 4: movie stars and stuff get into racing, it must be 278 00:13:39,360 --> 00:13:41,800 Speaker 4: more compelling than I realized, because a lot of rich, 279 00:13:41,840 --> 00:13:45,559 Speaker 4: powerful people get into it, compelling and glamorous, and a 280 00:13:45,600 --> 00:13:47,520 Speaker 4: lot of rich people are around it. And yet it's 281 00:13:47,559 --> 00:13:49,880 Speaker 4: like going in a champion racehorse. I guess you crad 282 00:13:50,720 --> 00:13:53,360 Speaker 4: and there's no appeal for me. But anyway, during this 283 00:13:53,520 --> 00:13:57,800 Speaker 4: court case, some of the texts came out from this 284 00:13:57,840 --> 00:14:00,920 Speaker 4: commissioner in which he calls rich Childress and if you 285 00:14:00,920 --> 00:14:03,120 Speaker 4: know anything about raising, he's one of the biggest names 286 00:14:03,120 --> 00:14:08,000 Speaker 4: in the history of racing a stupid redneck. Oh no, 287 00:14:08,360 --> 00:14:11,800 Speaker 4: it just everybody went nuts in the NASCAR community over 288 00:14:11,880 --> 00:14:14,760 Speaker 4: him calling one of the most beloved figures in all 289 00:14:14,840 --> 00:14:18,280 Speaker 4: of the history of NASCAR a stupid redneck. As the commissioner, 290 00:14:18,440 --> 00:14:21,000 Speaker 4: So he is he like calling Red hour Back a 291 00:14:21,040 --> 00:14:22,000 Speaker 4: stupid redneck? 292 00:14:22,160 --> 00:14:26,920 Speaker 5: Or who's like a beloved football owner, maybe Jerry Jones 293 00:14:26,960 --> 00:14:27,920 Speaker 5: who's a bit of a character. 294 00:14:28,000 --> 00:14:29,240 Speaker 2: But yeah, that's crazy. 295 00:14:29,280 --> 00:14:33,240 Speaker 4: Anyway, Haly Lambeau, this guy has stepped down as commissioner 296 00:14:33,240 --> 00:14:35,200 Speaker 4: and went with the as a lifelong fan. It gives 297 00:14:35,200 --> 00:14:37,760 Speaker 4: me immense pride to have served as NASCAR's first and 298 00:14:37,800 --> 00:14:40,920 Speaker 4: I will not always remember the blah blah blah blah. 299 00:14:41,000 --> 00:14:43,880 Speaker 4: I got caught calling NASCAR driver's rednecks. So I guess 300 00:14:43,920 --> 00:14:47,120 Speaker 4: I've gotta go, is what he could have said. So 301 00:14:47,240 --> 00:14:49,000 Speaker 4: I have a habit when I travel. This is a 302 00:14:49,040 --> 00:14:51,360 Speaker 4: transition to a different story. I have a habit when 303 00:14:51,400 --> 00:14:53,040 Speaker 4: I travel. I've done this my whole life. If I 304 00:14:53,160 --> 00:14:56,000 Speaker 4: put my dirty clothes in the trash can, the trash 305 00:14:56,080 --> 00:14:58,320 Speaker 4: can I've always thought is very handy because it's usually 306 00:14:58,360 --> 00:15:00,000 Speaker 4: got that plastic liner in it. 307 00:15:00,320 --> 00:15:02,480 Speaker 5: Wow, wait a minute, we got a pause right there. 308 00:15:03,400 --> 00:15:06,400 Speaker 5: I've never heard of that. I'm not saying it's a 309 00:15:06,440 --> 00:15:08,640 Speaker 5: bad idea. Well it's not a great idea, but I 310 00:15:08,680 --> 00:15:09,040 Speaker 5: get you. 311 00:15:09,400 --> 00:15:11,080 Speaker 4: I put my dirty socks in my underwear in the 312 00:15:11,120 --> 00:15:13,880 Speaker 4: trash can with the plastic thing in there, and that's 313 00:15:13,880 --> 00:15:20,480 Speaker 4: your trash. And there's usually multiple toilet in the dress 314 00:15:20,560 --> 00:15:23,520 Speaker 4: or drawer, there's usually multiple trash cans, and but one 315 00:15:23,560 --> 00:15:25,320 Speaker 4: of them are reserved for my dirty socks and undwords 316 00:15:25,320 --> 00:15:25,800 Speaker 4: stuff like that. 317 00:15:25,840 --> 00:15:27,360 Speaker 2: Katie's giving me what the hell look? 318 00:15:27,760 --> 00:15:30,480 Speaker 4: And so I've always done that, And then when I 319 00:15:30,480 --> 00:15:32,320 Speaker 4: get up the next morning, it's so easy to just 320 00:15:32,360 --> 00:15:34,520 Speaker 4: grab the plastic things, spin it. It's sealed, and I 321 00:15:34,520 --> 00:15:36,200 Speaker 4: put it in my bag, and my dirty clothes are 322 00:15:36,240 --> 00:15:38,480 Speaker 4: separated by the plastic bag from my other stuff. 323 00:15:38,480 --> 00:15:40,960 Speaker 5: I've been doing this my whole life. The judges are 324 00:15:41,000 --> 00:15:41,640 Speaker 5: ready to roll. 325 00:15:41,840 --> 00:15:42,160 Speaker 2: Well. 326 00:15:42,360 --> 00:15:45,360 Speaker 5: Creative and Innovative had set back the other day though, 327 00:15:45,480 --> 00:15:47,760 Speaker 5: as I got back to my room and the maids 328 00:15:47,760 --> 00:15:50,240 Speaker 5: had already gotten in there before, and I said, oh, oh, 329 00:15:50,280 --> 00:15:51,960 Speaker 5: did you throw away my clothes that were in the 330 00:15:52,000 --> 00:15:52,560 Speaker 5: trash can? 331 00:15:52,880 --> 00:15:55,120 Speaker 2: And she looked at me and said, see. 332 00:15:55,480 --> 00:15:57,960 Speaker 5: Uh, she had I do they were in the trash can. 333 00:15:58,640 --> 00:16:00,800 Speaker 4: No, she had no idea what I sing or whatever, 334 00:16:00,880 --> 00:16:03,960 Speaker 4: And so I thought, what am I gonna do here? 335 00:16:04,520 --> 00:16:06,840 Speaker 4: And because it hadn't I didn't care about my stuff 336 00:16:06,840 --> 00:16:08,240 Speaker 4: so much. But I had some of my son's clothes 337 00:16:08,280 --> 00:16:11,640 Speaker 4: that he really likes, particular clothes, and so I had 338 00:16:11,640 --> 00:16:15,880 Speaker 4: to download the translator app, which I'd never done before. 339 00:16:16,080 --> 00:16:18,600 Speaker 4: The Google Translator worked great. I typed it in there 340 00:16:18,720 --> 00:16:21,160 Speaker 4: anything like that, and so we had a conversation about it. 341 00:16:21,600 --> 00:16:21,960 Speaker 2: Whatever. 342 00:16:22,000 --> 00:16:23,800 Speaker 4: Anyway, when I get back to the hotel room with 343 00:16:23,840 --> 00:16:26,240 Speaker 4: all the rest of my family, mom, dad, everybody like that. 344 00:16:26,360 --> 00:16:29,440 Speaker 4: I get mocked endlessly. One for putting my clothes in 345 00:16:29,480 --> 00:16:30,880 Speaker 4: the trash can? What did you think you were going 346 00:16:30,920 --> 00:16:31,240 Speaker 4: to happen? 347 00:16:31,280 --> 00:16:31,360 Speaker 5: You? 348 00:16:31,400 --> 00:16:31,640 Speaker 2: More on? 349 00:16:32,080 --> 00:16:36,240 Speaker 4: And two for making some immigrant who doesn't speak English 350 00:16:36,400 --> 00:16:39,720 Speaker 4: dig through the garbage to find my dirty socks on 351 00:16:39,760 --> 00:16:40,320 Speaker 4: a holiday. 352 00:16:40,760 --> 00:16:42,840 Speaker 5: This is the ugly face of white supremacy. 353 00:16:42,920 --> 00:16:44,600 Speaker 2: Michael, I see it. 354 00:16:45,800 --> 00:16:48,200 Speaker 4: Oh, they couldn't believe that I had that poor woman 355 00:16:48,600 --> 00:16:53,600 Speaker 4: digging through the garbage to find my crusty socks on 356 00:16:53,640 --> 00:16:54,200 Speaker 4: a holiday. 357 00:16:54,480 --> 00:16:57,160 Speaker 5: And when she tried to stop. You didn't like beat 358 00:16:57,200 --> 00:16:59,520 Speaker 5: her or anything she but she found them and I 359 00:16:59,520 --> 00:17:01,160 Speaker 5: got them back. Very nice. 360 00:17:03,120 --> 00:17:05,720 Speaker 2: Tip on her. I would have if I had guinea cash. 361 00:17:05,720 --> 00:17:10,440 Speaker 2: But I, oh no, this is the nightmare. Most is 362 00:17:10,480 --> 00:17:12,400 Speaker 2: a nightmare. I have nothing to. 363 00:17:12,359 --> 00:17:15,040 Speaker 5: Say Armstrong and Getty. 364 00:17:16,600 --> 00:17:20,240 Speaker 4: I won't reset the entire hotel made story. If you 365 00:17:20,280 --> 00:17:22,680 Speaker 4: missed it, get the podcast Armstrong and Getty on demand. 366 00:17:22,760 --> 00:17:25,720 Speaker 4: But the texture running roughly fifty to fifty. Or whether 367 00:17:25,760 --> 00:17:28,679 Speaker 4: it's a genius idea to put the dirty clothes in 368 00:17:28,720 --> 00:17:30,920 Speaker 4: the trash can with the liner, or what did you 369 00:17:30,960 --> 00:17:31,960 Speaker 4: think was gonna happen you? 370 00:17:32,000 --> 00:17:32,360 Speaker 2: More on? 371 00:17:32,520 --> 00:17:34,440 Speaker 4: You put your clothes in a trash can. So it's 372 00:17:34,480 --> 00:17:36,360 Speaker 4: kind of run fifty to fifty. It is running one 373 00:17:36,440 --> 00:17:38,919 Speaker 4: hundred percent that I'm a monster for not having tipped 374 00:17:38,920 --> 00:17:43,920 Speaker 4: the woman. Now, I intended to tip the woman, but 375 00:17:43,960 --> 00:17:46,000 Speaker 4: when we got back from our meal, she was gone. 376 00:17:46,080 --> 00:17:49,160 Speaker 4: Everybody is gone. Nobody could understand what I was even 377 00:17:49,200 --> 00:17:51,800 Speaker 4: talking about. I didn't know how to, although somebody said 378 00:17:51,800 --> 00:17:55,040 Speaker 4: I should absolutely let the hotel know what a great 379 00:17:55,119 --> 00:17:56,600 Speaker 4: job they did the very least. 380 00:17:56,920 --> 00:17:59,920 Speaker 5: Oh yeah, yeah, well you leave a nice tip on 381 00:18:00,160 --> 00:18:02,160 Speaker 5: the desk right as you check out? 382 00:18:02,760 --> 00:18:05,440 Speaker 2: Yeah, do you always housekeeping? Yeah? Okay. 383 00:18:05,480 --> 00:18:07,920 Speaker 4: So we got in an interesting so I'd never heard 384 00:18:07,960 --> 00:18:10,080 Speaker 4: of this in my life. We got into this conversation 385 00:18:10,160 --> 00:18:12,119 Speaker 4: with a group of whatever it was twenty people. Somebody 386 00:18:12,160 --> 00:18:13,800 Speaker 4: came up with the do you tip the maids? And 387 00:18:13,840 --> 00:18:15,720 Speaker 4: I said, why would I tip the maids? So about 388 00:18:15,720 --> 00:18:17,600 Speaker 4: half the room was like, never heard of it in 389 00:18:17,640 --> 00:18:19,720 Speaker 4: my life, and the other half was, you don't tip 390 00:18:19,760 --> 00:18:23,360 Speaker 4: the weights the maids at the hotel, you monsters. I'd 391 00:18:23,359 --> 00:18:27,040 Speaker 4: never heard of it in my life. Wow, Wow, you're 392 00:18:27,040 --> 00:18:28,280 Speaker 4: supposed to tip the maids? 393 00:18:28,640 --> 00:18:33,760 Speaker 5: Oh of course, yeah, yeah, yeah, you know, Yeah, Matt, 394 00:18:34,320 --> 00:18:35,160 Speaker 5: I didn't know this either. 395 00:18:35,160 --> 00:18:37,480 Speaker 2: I mean neither. I'd never even heard of it. 396 00:18:37,480 --> 00:18:39,679 Speaker 4: It wasn't an option for me to not do it 397 00:18:39,680 --> 00:18:40,920 Speaker 4: because I didn't know it was a thing. 398 00:18:41,320 --> 00:18:43,159 Speaker 5: Well, it's weird these days because it used to be 399 00:18:43,160 --> 00:18:45,080 Speaker 5: the maids would come in every single day, make the 400 00:18:45,160 --> 00:18:48,680 Speaker 5: room spick and span, you know, tuck in your sheets 401 00:18:48,720 --> 00:18:52,720 Speaker 5: and like fold your clothes and whatever. And now it's 402 00:18:52,760 --> 00:18:54,440 Speaker 5: hit or miss or you tell them don't bother. 403 00:18:54,760 --> 00:18:57,080 Speaker 4: You got to admit the whole tipping thing is nuts 404 00:18:57,280 --> 00:19:00,240 Speaker 4: because there's all kinds of things where well, yeah, yah, 405 00:19:00,240 --> 00:19:02,280 Speaker 4: they did that, that's what they get paid to do, 406 00:19:02,359 --> 00:19:04,280 Speaker 4: and you don't trip them. And there are other things. 407 00:19:04,320 --> 00:19:06,760 Speaker 4: Oh no, you have to tip them. Why is this 408 00:19:06,800 --> 00:19:07,800 Speaker 4: one different than that one? 409 00:19:07,840 --> 00:19:11,960 Speaker 5: I don't understand. Yeah, it was interesting in Europe, specifically 410 00:19:12,080 --> 00:19:16,560 Speaker 5: in England a few months ago that you know, I 411 00:19:16,560 --> 00:19:19,960 Speaker 5: think it's five percent or ten percent or something like 412 00:19:20,000 --> 00:19:22,000 Speaker 5: that is like the max and more than that, it's 413 00:19:22,200 --> 00:19:24,920 Speaker 5: just like weird at a pub or something like that. 414 00:19:25,880 --> 00:19:28,000 Speaker 5: On the other hand, they don't give a damn whether 415 00:19:28,040 --> 00:19:29,800 Speaker 5: they serve you very well or not in a lot 416 00:19:29,840 --> 00:19:36,320 Speaker 5: of places, right, it's interesting. Okay, well, okay, final text 417 00:19:36,359 --> 00:19:38,399 Speaker 5: on that Jack Armstrong is actually a bad person that 418 00:19:38,440 --> 00:19:42,240 Speaker 5: should never judge any other person again for not being heard. 419 00:19:42,320 --> 00:19:43,439 Speaker 2: So I agree with that. 420 00:19:44,640 --> 00:19:47,520 Speaker 5: So speaking of translations, as you you had a bit 421 00:19:47,560 --> 00:19:52,879 Speaker 5: of an issue with that. I was idling about killing time, 422 00:19:53,000 --> 00:19:57,000 Speaker 5: and I asked Google Gemini just and I've got like 423 00:19:57,119 --> 00:19:59,480 Speaker 5: four different AI platforms on my phone, my. 424 00:19:59,440 --> 00:20:01,480 Speaker 2: iPad, just just more. 425 00:20:01,480 --> 00:20:03,720 Speaker 5: Or less randomly you go between them and I'm getting 426 00:20:03,720 --> 00:20:06,040 Speaker 5: a sense of who's doing what well. But anyway, so 427 00:20:06,080 --> 00:20:07,640 Speaker 5: I thought it was interesting, and I've got a bunch 428 00:20:07,680 --> 00:20:10,280 Speaker 5: of interesting AI stuff here for you. But I asked 429 00:20:10,320 --> 00:20:13,720 Speaker 5: it to design me a First Amendment tattoo, not too big, 430 00:20:14,359 --> 00:20:17,080 Speaker 5: because if I ever get a tattoo, I have no tattoos. 431 00:20:17,119 --> 00:20:18,800 Speaker 5: It would be a First Amendment tattoo because I'm a 432 00:20:18,800 --> 00:20:24,040 Speaker 5: First Amendment for lower back. Oh yeah, trampstam one hundred percent. Yeah. 433 00:20:24,080 --> 00:20:31,159 Speaker 5: But it came back hilariously riddled with typos, as I mentioned. 434 00:20:31,160 --> 00:20:32,840 Speaker 5: In fact, I got to read it to you again. 435 00:20:34,960 --> 00:20:38,280 Speaker 5: I'm reading it verbatim. Congress shall make no law law 436 00:20:38,560 --> 00:20:44,000 Speaker 5: established and religion, or prohibiting free exercise thereof, or abridding 437 00:20:44,280 --> 00:20:47,800 Speaker 5: the speech or fredetum of the press of the right 438 00:20:47,920 --> 00:20:52,879 Speaker 5: to peace. Plea to passembol and to petition, the redress, 439 00:20:53,080 --> 00:20:56,200 Speaker 5: the go over ninset. 440 00:20:56,320 --> 00:20:58,639 Speaker 4: And such is the problem with AI in that it 441 00:20:58,640 --> 00:21:02,120 Speaker 4: can do some really complicated things that are mind bowingly amazing, 442 00:21:03,080 --> 00:21:07,040 Speaker 4: but swing and miss on some of the simplest things 443 00:21:07,080 --> 00:21:09,679 Speaker 4: in the world. A child could come up with the 444 00:21:09,760 --> 00:21:11,760 Speaker 4: proper verbiage of the First Amendment. 445 00:21:12,160 --> 00:21:15,000 Speaker 5: Well, I actually asked, I said, I asked you for 446 00:21:15,040 --> 00:21:17,840 Speaker 5: a design for a First Amendment tattoo, and your design 447 00:21:18,000 --> 00:21:21,080 Speaker 5: was full of typographical errors, even though the text of 448 00:21:21,119 --> 00:21:24,480 Speaker 5: the First Amendment is readily available in a thousand different sources. 449 00:21:24,760 --> 00:21:29,080 Speaker 5: What happened? And and and Google Gemini responded, I hear 450 00:21:29,160 --> 00:21:33,040 Speaker 5: your frustration. You know it's not frustration, honestly, it's it's curiosity. 451 00:21:33,480 --> 00:21:36,800 Speaker 5: But anyway, thanks for guessing it what emotion I'm feeling. 452 00:21:38,920 --> 00:21:45,080 Speaker 5: And I sincerely apologize yourself, right, and my mother, I 453 00:21:45,119 --> 00:21:48,000 Speaker 5: sincerely apologize for the mix up. It's definitely jarring to 454 00:21:48,040 --> 00:21:50,440 Speaker 5: see one of the most famous texts in history come 455 00:21:50,480 --> 00:21:51,440 Speaker 5: back with typos. 456 00:21:51,760 --> 00:21:51,960 Speaker 2: Yeah. 457 00:21:52,000 --> 00:21:56,080 Speaker 5: I don't need you to empathize either, yourn effing machine. 458 00:21:57,119 --> 00:21:59,960 Speaker 5: But here's the interesting part. To be completely transparent about 459 00:22:00,080 --> 00:22:02,680 Speaker 5: how this happens. While my core brain quote unquote knows 460 00:22:02,720 --> 00:22:06,240 Speaker 5: the text of the First Amendment perfectly. The image generation tool, 461 00:22:06,320 --> 00:22:09,480 Speaker 5: the part that actually draws the tattoo, handles text differently 462 00:22:09,520 --> 00:22:12,680 Speaker 5: than a word processor does. Why AI struggles with text 463 00:22:12,760 --> 00:22:16,800 Speaker 5: and images. Current AI image models don't write letter by letter. Instead, 464 00:22:16,800 --> 00:22:20,280 Speaker 5: they treat text as visual patterns and shapes. That's the 465 00:22:20,920 --> 00:22:24,200 Speaker 5: visual versus semantic. The model tries to replicate the look 466 00:22:24,240 --> 00:22:28,200 Speaker 5: of calligraphy or a specific font because it prioritizes the esthetics. 467 00:22:28,280 --> 00:22:31,119 Speaker 5: The swirls of the shading layout sometimes loses track of 468 00:22:31,119 --> 00:22:32,919 Speaker 5: the specific sequence of characters. 469 00:22:33,080 --> 00:22:35,840 Speaker 4: Well, but that is so interesting now is that the 470 00:22:35,880 --> 00:22:38,040 Speaker 4: sort of thing that can be fixed with a minor 471 00:22:38,160 --> 00:22:41,240 Speaker 4: change in code? Or is it like the hallucination problem 472 00:22:41,280 --> 00:22:43,520 Speaker 4: where it may cost billions of dollars and they don't 473 00:22:43,560 --> 00:22:45,920 Speaker 4: know if it can fix it. But again, an eight 474 00:22:46,000 --> 00:22:51,280 Speaker 4: year old could look at, you know, a cartoon rendering 475 00:22:51,400 --> 00:22:54,520 Speaker 4: of the First Amendment and still read it and transpose 476 00:22:54,560 --> 00:22:55,480 Speaker 4: it if you wanted them to. 477 00:22:55,680 --> 00:23:00,160 Speaker 5: Well, right, right, complexity, The First Amendment is long, now, 478 00:23:00,359 --> 00:23:01,919 Speaker 5: No Ulysses is long. 479 00:23:02,240 --> 00:23:03,679 Speaker 2: The First Amendment is short. 480 00:23:03,720 --> 00:23:06,040 Speaker 5: Anyway, the more text you put ask an AI to 481 00:23:06,040 --> 00:23:08,080 Speaker 5: put into a single image, the higher the chance it 482 00:23:08,119 --> 00:23:11,680 Speaker 5: will create gibberish er all script AI script rather because 483 00:23:11,720 --> 00:23:14,400 Speaker 5: it runs out of visual space to render every character 484 00:23:14,560 --> 00:23:17,640 Speaker 5: accurately accurately. How can we fix this? If you're looking 485 00:23:17,680 --> 00:23:19,280 Speaker 5: for a design, you can actually take to it to 486 00:23:19,359 --> 00:23:22,960 Speaker 5: two artists. I recommend a two step approach layout design. 487 00:23:23,000 --> 00:23:24,800 Speaker 5: I can generate a visual mock up for you that 488 00:23:24,840 --> 00:23:28,200 Speaker 5: focuses on the placement, font style, and imagery blah blah blah, 489 00:23:28,240 --> 00:23:30,199 Speaker 5: then the text. To always provide your artists with the 490 00:23:30,240 --> 00:23:33,000 Speaker 5: digital text directly from a verified source to ensure one 491 00:23:33,040 --> 00:23:37,120 Speaker 5: hundred percent accuracy, or you'll end up with no riggurts. 492 00:23:38,240 --> 00:23:42,879 Speaker 5: Right anyway? How interesting? Eh? 493 00:23:43,240 --> 00:23:45,679 Speaker 4: Maybe that's so they ended up with the leering center 494 00:23:45,800 --> 00:23:48,560 Speaker 4: there in Minnesota instead of the learning center. 495 00:23:48,520 --> 00:23:51,520 Speaker 5: All right, because nobody spoke English. They all they spoke 496 00:23:51,640 --> 00:23:55,320 Speaker 5: was the language of graft and savory. 497 00:23:56,600 --> 00:23:57,480 Speaker 2: A I'm sorry. 498 00:23:57,520 --> 00:24:00,560 Speaker 5: ICE is using facial recognition technolology to. 499 00:24:00,560 --> 00:24:02,040 Speaker 2: Quickly arrest people. 500 00:24:02,680 --> 00:24:07,360 Speaker 5: Widespread uses raised alarms among privacy advocates and some former officials. 501 00:24:07,440 --> 00:24:09,560 Speaker 4: What's happening at the airport When they take our picture 502 00:24:09,600 --> 00:24:11,640 Speaker 4: now every single time. 503 00:24:11,880 --> 00:24:13,440 Speaker 2: That's facial recognition, right? 504 00:24:13,480 --> 00:24:15,440 Speaker 4: But why did they take at every time just to 505 00:24:15,480 --> 00:24:19,080 Speaker 4: try to see if it would it go off if hey, 506 00:24:19,080 --> 00:24:21,160 Speaker 4: this doesn't match previous pictures we've taken. 507 00:24:21,680 --> 00:24:25,080 Speaker 5: No, no, they dispose of it immediately because people object 508 00:24:25,160 --> 00:24:28,280 Speaker 5: to the data being held onto or they claim they 509 00:24:28,320 --> 00:24:31,879 Speaker 5: dispose of it immediately. Is this Jack Armstrong? Yes, it is, Okay, 510 00:24:31,880 --> 00:24:35,240 Speaker 5: get rid of the picture. Oh okay, it's too bad 511 00:24:35,240 --> 00:24:38,840 Speaker 5: because I was having a really good hair day until 512 00:24:38,880 --> 00:24:41,560 Speaker 5: recently it aggressed. Arresting an immigrants suspected of being in 513 00:24:41,600 --> 00:24:44,440 Speaker 5: the country illegally took time, had to go through various 514 00:24:44,480 --> 00:24:47,560 Speaker 5: forms of ID through different systems. If the results were inconclusive, 515 00:24:47,800 --> 00:24:51,480 Speaker 5: book the person into custody for further investigation. But now 516 00:24:52,119 --> 00:24:54,720 Speaker 5: ice have been handed a powerful new tool to speed 517 00:24:54,800 --> 00:24:59,160 Speaker 5: up arrests, mobile facial recognition technology. Officers can simply point 518 00:24:59,200 --> 00:25:01,720 Speaker 5: their phones at a subs FEC's face, snap a picture, and 519 00:25:01,760 --> 00:25:04,080 Speaker 5: turn up the person's identity and often they're immigration. 520 00:25:05,400 --> 00:25:05,920 Speaker 2: Wow. 521 00:25:06,800 --> 00:25:10,520 Speaker 4: Now, even if you think that's just fantastic, obviously the 522 00:25:10,560 --> 00:25:14,800 Speaker 4: way that's going to be used every building, every street. 523 00:25:14,480 --> 00:25:16,560 Speaker 2: Corner, every every everywhere. 524 00:25:17,000 --> 00:25:17,240 Speaker 5: Soon. 525 00:25:18,119 --> 00:25:18,399 Speaker 2: Yeah. 526 00:25:18,720 --> 00:25:22,720 Speaker 5: Oh, sometimes two opposing thoughts are true in this case. One, 527 00:25:23,320 --> 00:25:26,920 Speaker 5: this is a valuable and time saving tool for law enforcement. 528 00:25:27,280 --> 00:25:29,520 Speaker 5: The it is clearly a step down the road to 529 00:25:29,960 --> 00:25:32,520 Speaker 5: Chila's China's surveillance state. 530 00:25:35,760 --> 00:25:37,080 Speaker 2: Yeah, there's no stopping it. 531 00:25:37,160 --> 00:25:39,280 Speaker 4: But my kids are going to grow up in a world, 532 00:25:39,480 --> 00:25:44,960 Speaker 4: you know, two decades from now, where the government knows 533 00:25:45,119 --> 00:25:48,880 Speaker 4: every single place you are all the time, pretty much 534 00:25:48,880 --> 00:25:53,280 Speaker 4: twenty four hours a day. Yeah, between your phone, your vehicle, 535 00:25:53,440 --> 00:25:55,240 Speaker 4: facial recognition, everything. 536 00:25:56,480 --> 00:26:00,199 Speaker 5: Yeah, and it will have the Orwellian a result that 537 00:26:00,240 --> 00:26:01,880 Speaker 5: I think we can all imagine on our own. 538 00:26:02,800 --> 00:26:03,840 Speaker 2: Wow, that is something. 539 00:26:04,320 --> 00:26:09,359 Speaker 5: Yeah, yeah, it's well read nineteen eighty four. How do 540 00:26:09,400 --> 00:26:10,680 Speaker 5: you deal with the surveillance state? 541 00:26:10,760 --> 00:26:12,720 Speaker 2: Poorly? As it turns out, not a happy ending. 542 00:26:13,200 --> 00:26:16,200 Speaker 4: Since I mentioned the TSA, I meant to tell this story. 543 00:26:16,200 --> 00:26:22,320 Speaker 4: I had the most aggressive of TSA agents I've ever had, 544 00:26:22,359 --> 00:26:24,200 Speaker 4: And I've complained about this many times over the years, 545 00:26:24,240 --> 00:26:27,960 Speaker 4: and it's been actually a life lesson for me. One 546 00:26:27,960 --> 00:26:33,320 Speaker 4: particular time, where you're in the line and there's two 547 00:26:33,400 --> 00:26:36,000 Speaker 4: people that can call you up next to show your 548 00:26:36,040 --> 00:26:38,720 Speaker 4: ticket or your ID, and there was one pleasant woman 549 00:26:38,720 --> 00:26:40,880 Speaker 4: and one angry dude, and I got to stand there 550 00:26:40,880 --> 00:26:43,159 Speaker 4: and watch it for a while and it just, I 551 00:26:43,160 --> 00:26:45,159 Speaker 4: don't know, for whatever reason, it was very clear in 552 00:26:45,200 --> 00:26:50,000 Speaker 4: my mind those two are doing the same job. That 553 00:26:50,080 --> 00:26:52,920 Speaker 4: person is miserable all day long. That person is happy 554 00:26:52,960 --> 00:26:56,080 Speaker 4: all day long. That person is spreading happiness in the world. 555 00:26:56,280 --> 00:26:59,760 Speaker 4: That person is making people angry and there and for 556 00:26:59,840 --> 00:27:03,240 Speaker 4: no reason. It's not like there was anything being accomplished 557 00:27:03,280 --> 00:27:05,320 Speaker 4: by being the angry person at all. 558 00:27:05,400 --> 00:27:06,639 Speaker 2: Oh no, no, at all. 559 00:27:06,720 --> 00:27:09,080 Speaker 4: If anything you're you're you're making it no more difficult. 560 00:27:09,080 --> 00:27:10,760 Speaker 4: And I just I don't know, is a great lesson 561 00:27:10,800 --> 00:27:13,080 Speaker 4: for me and all kinds of different things. We're all 562 00:27:13,200 --> 00:27:15,320 Speaker 4: we have to do this task. We can either be 563 00:27:15,359 --> 00:27:17,199 Speaker 4: happy while we do it or be angry why we 564 00:27:17,240 --> 00:27:19,120 Speaker 4: do it. But the task still has to be done, 565 00:27:19,480 --> 00:27:21,320 Speaker 4: So how about we not be angry about it? And 566 00:27:21,359 --> 00:27:23,399 Speaker 4: it was just I don't know. It was a moment 567 00:27:23,480 --> 00:27:26,439 Speaker 4: for me that I've tried to carry forward. But I 568 00:27:26,480 --> 00:27:29,000 Speaker 4: came across the most aggressive one of these dudes, and 569 00:27:29,080 --> 00:27:31,680 Speaker 4: I was really close to getting into it with him, 570 00:27:31,880 --> 00:27:35,520 Speaker 4: not in an angry way. I just wanted to say, dude, 571 00:27:35,960 --> 00:27:38,639 Speaker 4: why don't you take it down a notch? Why spread 572 00:27:38,680 --> 00:27:41,760 Speaker 4: all this anger to everyone as we're all just trying 573 00:27:41,800 --> 00:27:42,760 Speaker 4: to get through this line. 574 00:27:43,119 --> 00:27:44,520 Speaker 2: Nobody else is doing it that way? 575 00:27:44,600 --> 00:27:46,720 Speaker 4: Why we're in a hurry? And I didn't know how 576 00:27:46,720 --> 00:27:50,000 Speaker 4: you react. I mean he was really aggressive. No, no, no, 577 00:27:50,200 --> 00:27:53,639 Speaker 4: over here, come on, like, what are you doing? 578 00:27:54,160 --> 00:27:58,480 Speaker 5: I definitely go gandhi Jesus on him, not dude, no, no, 579 00:27:58,760 --> 00:28:00,720 Speaker 5: say hey, I'm sorry, I have question for it. Go 580 00:28:00,880 --> 00:28:05,200 Speaker 5: super gentle. That might be interesting. You could see that conversation. 581 00:28:05,320 --> 00:28:07,200 Speaker 4: You could say you can leave your hat on, or 582 00:28:07,240 --> 00:28:08,720 Speaker 4: you could say hat stand on. 583 00:28:10,080 --> 00:28:11,080 Speaker 2: The same message. 584 00:28:11,119 --> 00:28:14,280 Speaker 4: But one of them spreads anger, you're angry and the 585 00:28:14,320 --> 00:28:15,440 Speaker 4: other one doesn't. 586 00:28:15,640 --> 00:28:18,960 Speaker 2: So why do you choose the angry route again? 587 00:28:19,080 --> 00:28:21,479 Speaker 5: Come to him with kindness and generosity and help him 588 00:28:21,560 --> 00:28:24,919 Speaker 5: understand what he's doing in the effect it's having on 589 00:28:25,000 --> 00:28:27,520 Speaker 5: him and others. And if he doesn't come around, punch him. 590 00:28:27,400 --> 00:28:27,840 Speaker 2: In the balls. 591 00:28:27,920 --> 00:28:30,600 Speaker 4: I was thinking about actually having the conversation with him. 592 00:28:30,680 --> 00:28:33,440 Speaker 4: Here's why I didn't. This is the reason I didn't. 593 00:28:33,960 --> 00:28:36,879 Speaker 5: Both my son and I, both of us had pocket 594 00:28:36,920 --> 00:28:37,960 Speaker 5: knives in our backpacks. 595 00:28:38,040 --> 00:28:40,200 Speaker 2: Oh my god, Oh my god. 596 00:28:41,400 --> 00:28:45,360 Speaker 5: Wasn't the right time to criticize TSA as we both 597 00:28:45,440 --> 00:28:48,040 Speaker 5: tried to get knives onto the plane and Neil, one 598 00:28:48,040 --> 00:28:49,560 Speaker 5: of us, kid, how did we do this? 599 00:28:49,880 --> 00:28:51,600 Speaker 2: We both had to throw away pocket knives. 600 00:28:52,160 --> 00:28:54,520 Speaker 5: Oh my gosh, that's not the best time to criticize 601 00:28:54,560 --> 00:28:56,840 Speaker 5: the TSA when you've tried to get a weapon through 602 00:28:57,720 --> 00:29:00,640 Speaker 5: Good lord, you scofflaw. I have a couple of more 603 00:29:00,840 --> 00:29:03,240 Speaker 5: really interesting AI stories. Why don't we take a break 604 00:29:03,240 --> 00:29:04,640 Speaker 5: in with Kremm in the last segment. 605 00:29:04,720 --> 00:29:11,880 Speaker 4: That's how we will finish strong next just watching Megan 606 00:29:11,960 --> 00:29:15,840 Speaker 4: Kelly making fun of the Fox News anchors for cheerleading 607 00:29:15,880 --> 00:29:16,960 Speaker 4: the Maduro capture. 608 00:29:17,920 --> 00:29:21,240 Speaker 5: Interesting, interesting times, interesting splits. 609 00:29:21,280 --> 00:29:24,000 Speaker 2: More on that tomorrow. Yeah. 610 00:29:24,520 --> 00:29:28,400 Speaker 5: I would actually be refreshed if people would not just 611 00:29:28,440 --> 00:29:31,280 Speaker 5: automatically ask what is my tribe saying or what am 612 00:29:31,280 --> 00:29:33,480 Speaker 5: I supposed to say, and just express their opinions. 613 00:29:33,680 --> 00:29:36,000 Speaker 2: I find that refreshing anyway. 614 00:29:36,240 --> 00:29:38,560 Speaker 5: So we're talking about AI, a couple of different facets 615 00:29:38,640 --> 00:29:41,880 Speaker 5: of it, as we often do. A couple of articles 616 00:29:41,880 --> 00:29:47,120 Speaker 5: that came across one talking about how hospitals are both 617 00:29:47,160 --> 00:29:50,920 Speaker 5: a proven ground for what AI can do and also 618 00:29:51,280 --> 00:29:53,240 Speaker 5: like the leading edge of finding out what it can't. 619 00:29:53,600 --> 00:29:54,520 Speaker 2: And I became aware. 620 00:29:54,600 --> 00:29:57,840 Speaker 5: I talked to not a cardiologist, a radiologist guy reads 621 00:29:58,040 --> 00:30:00,360 Speaker 5: X rays and scans and that sort of thing, because 622 00:30:00,400 --> 00:30:03,280 Speaker 5: I'd read something about AI and scans and asked him, 623 00:30:03,320 --> 00:30:05,080 Speaker 5: you know, how it's affecting his world and how it 624 00:30:05,160 --> 00:30:08,520 Speaker 5: will and actually he said the same guy. This guy 625 00:30:08,560 --> 00:30:11,240 Speaker 5: did the same I'm sorry, slow down, Joe. He said 626 00:30:11,240 --> 00:30:13,240 Speaker 5: the same things that this guy did in the article 627 00:30:13,240 --> 00:30:16,360 Speaker 5: in the Wall Street Journal. That it's been incredibly helpful 628 00:30:17,120 --> 00:30:23,720 Speaker 5: because it can read scans very quickly and he just 629 00:30:23,840 --> 00:30:27,760 Speaker 5: has to check them or check the result. And various 630 00:30:27,800 --> 00:30:33,920 Speaker 5: studies have found where is it that that AI is 631 00:30:34,120 --> 00:30:38,040 Speaker 5: way better at finding the early subtle signs of various 632 00:30:38,040 --> 00:30:39,080 Speaker 5: sorts of cancers? 633 00:30:39,800 --> 00:30:40,160 Speaker 2: There you go. 634 00:30:40,200 --> 00:30:43,440 Speaker 5: The study estimated AI could help screen patients and reduce 635 00:30:43,800 --> 00:30:46,560 Speaker 5: breast cancers of a certain kind by thirty percent. 636 00:30:47,240 --> 00:30:48,080 Speaker 2: So good stuff. 637 00:30:48,240 --> 00:30:51,960 Speaker 5: Oh and it's interesting this guy who works for Northwestern 638 00:30:52,040 --> 00:30:53,640 Speaker 5: Medicine and where Chicago. 639 00:30:54,040 --> 00:30:54,680 Speaker 2: Yeah, I don't. 640 00:30:54,960 --> 00:30:56,520 Speaker 4: I don't know if you've ever had this experience, but 641 00:30:56,880 --> 00:30:59,760 Speaker 4: like when I had a couple of tumors, Yeah, they'd 642 00:30:59,800 --> 00:31:02,200 Speaker 4: show me that image or whatever and says, you can 643 00:31:02,240 --> 00:31:02,640 Speaker 4: see here. 644 00:31:02,640 --> 00:31:04,440 Speaker 5: It's like, I can't see anything here. I mean that 645 00:31:04,480 --> 00:31:06,440 Speaker 5: could be anything. Oh what the hell you're talking about. 646 00:31:06,560 --> 00:31:08,920 Speaker 5: I've had the same experience, both myself and my kids 647 00:31:08,920 --> 00:31:11,560 Speaker 5: with broken bones. They say you see that line there, 648 00:31:11,560 --> 00:31:13,120 Speaker 5: and I say, yeah, I. 649 00:31:13,120 --> 00:31:15,640 Speaker 2: Don't see a lie. I don't see. 650 00:31:15,480 --> 00:31:18,480 Speaker 5: Anything, I see a weird shadowy image of what appears 651 00:31:18,560 --> 00:31:23,040 Speaker 5: to be bones. Anyway, he says, And I found this 652 00:31:23,120 --> 00:31:27,720 Speaker 5: really interesting that reading scans faster is a good thing, 653 00:31:28,480 --> 00:31:30,080 Speaker 5: he says, even though it was the first time I 654 00:31:30,120 --> 00:31:32,360 Speaker 5: felt like there was a clock on my career, he says. 655 00:31:32,560 --> 00:31:35,320 Speaker 5: You'd feel guilty getting up to use the restroom. There's 656 00:31:35,440 --> 00:31:38,480 Speaker 5: hundreds of patients waiting for our read and any one 657 00:31:38,520 --> 00:31:40,680 Speaker 5: of them could be one that's actively dying. 658 00:31:40,960 --> 00:31:42,160 Speaker 2: Yeah, no kidding, WHOA. 659 00:31:42,800 --> 00:31:46,920 Speaker 5: So this guy, God bless him, was so dedicated to 660 00:31:47,360 --> 00:31:49,280 Speaker 5: getting through as many as he could so people could 661 00:31:49,280 --> 00:31:51,440 Speaker 5: start getting treated that he you know, he was afraid 662 00:31:51,440 --> 00:31:52,320 Speaker 5: to go to the bathroom. 663 00:31:52,720 --> 00:31:53,880 Speaker 2: But but. 664 00:31:56,000 --> 00:31:58,040 Speaker 5: And then they quote a bunch of hospital officials saying 665 00:31:58,080 --> 00:32:04,400 Speaker 5: how great this is. But let's see this one guy 666 00:32:05,880 --> 00:32:08,160 Speaker 5: wanted to where it was it It was right in 667 00:32:08,160 --> 00:32:11,239 Speaker 5: front of me. This this guy wanted to do a 668 00:32:11,280 --> 00:32:15,560 Speaker 5: procedure that was not generally done for a particular problem. 669 00:32:15,600 --> 00:32:17,760 Speaker 5: But he thought, wow, this could work. I think it's 670 00:32:17,800 --> 00:32:22,080 Speaker 5: a really good idea. There is a Mayo Clinic cardiologist 671 00:32:22,120 --> 00:32:24,640 Speaker 5: Paul Friedman. He turned to chat GPT need to weigh 672 00:32:24,640 --> 00:32:27,520 Speaker 5: in on the care of patient who needed to defibrillator 673 00:32:27,800 --> 00:32:31,120 Speaker 5: a few days after having heart surgery, thought it was great, 674 00:32:31,200 --> 00:32:35,640 Speaker 5: and the chat GPT said yep, it's safe and effective 675 00:32:36,200 --> 00:32:39,200 Speaker 5: and listed several reports and studies. 676 00:32:38,720 --> 00:32:41,080 Speaker 2: That showed that it was a good idea. It made 677 00:32:41,080 --> 00:32:44,440 Speaker 2: them all up. Wow, completely fabricated. 678 00:32:44,520 --> 00:32:46,840 Speaker 5: And then the AI bought says, you have cancer, you 679 00:32:46,920 --> 00:32:48,880 Speaker 5: might as well kill yourself, because that's what AI bought. 680 00:32:48,840 --> 00:32:51,200 Speaker 2: Stick ken with the killing yourself. 681 00:32:51,320 --> 00:32:57,400 Speaker 1: Oh, Jack Clark, GISs time stop. Jack and Joe live, 682 00:32:57,520 --> 00:33:02,600 Speaker 1: go go, and if they don't, canval be beats tomorrow. 683 00:33:02,960 --> 00:33:04,800 Speaker 5: Here's your host for final thoughts, Joe Getty. 684 00:33:05,320 --> 00:33:07,400 Speaker 2: Hey, let's get a final thought from everybody on the crew. 685 00:33:07,440 --> 00:33:10,040 Speaker 5: Micha leans lower technical director Michael to lead us off. 686 00:33:10,240 --> 00:33:14,120 Speaker 6: Jackie had quite the vacation. You were teased by your 687 00:33:14,160 --> 00:33:17,080 Speaker 6: family about putting clothes in the trash, You got laughed 688 00:33:17,080 --> 00:33:19,160 Speaker 6: at for wanting to give up desserts, and then a 689 00:33:19,240 --> 00:33:22,160 Speaker 6: TSA guy yelled at you, You poor guy. 690 00:33:24,280 --> 00:33:26,680 Speaker 5: Rough time over the holidays, Katie Greener, Steve mused. 691 00:33:26,680 --> 00:33:26,880 Speaker 2: Woman. 692 00:33:26,920 --> 00:33:29,440 Speaker 5: As a final thought, Katie, Michael, don't forget about running 693 00:33:29,480 --> 00:33:37,840 Speaker 5: through Ann Frank's bedroom. That's right, right, Oh my god, 694 00:33:37,400 --> 00:33:39,680 Speaker 5: that was really uncomfortable. 695 00:33:39,680 --> 00:33:42,080 Speaker 2: That's your fought. Yeah, that's good enough. 696 00:33:42,120 --> 00:33:44,520 Speaker 4: If you didn't catch that story, get the podcast Armstrong 697 00:33:44,560 --> 00:33:47,360 Speaker 4: and Getty on demand. That was highly highly embarrassing. You know, 698 00:33:47,400 --> 00:33:49,080 Speaker 4: I'm gonna make this my final thought. I was gonna 699 00:33:49,080 --> 00:33:49,960 Speaker 4: squeeze in this story. 700 00:33:49,960 --> 00:33:52,000 Speaker 5: But it's about this guy who's an activist trying to 701 00:33:52,000 --> 00:33:56,640 Speaker 5: get the world to stop pursuing artificial general intelligence until 702 00:33:56,720 --> 00:34:00,400 Speaker 5: we know how to deal with it. And it's perfect 703 00:34:00,480 --> 00:34:04,920 Speaker 5: example of a guy who can't deal with reality because 704 00:34:05,040 --> 00:34:08,280 Speaker 5: he never asked answers the question what about China? 705 00:34:08,520 --> 00:34:11,080 Speaker 2: Yeah? What about North Korea? What about Russia? 706 00:34:11,120 --> 00:34:14,319 Speaker 5: And if you and if you say, well, I don't know, 707 00:34:14,360 --> 00:34:15,840 Speaker 5: but we've just got to stop. 708 00:34:15,920 --> 00:34:16,920 Speaker 2: You're not an adult. 709 00:34:17,320 --> 00:34:20,719 Speaker 5: If you cannot deal with the uncomfortable reality, take a 710 00:34:20,760 --> 00:34:24,240 Speaker 5: deep breath, accept it, and go on. You're not an adult. 711 00:34:24,320 --> 00:34:27,000 Speaker 5: It's like the gun control discussion. Yeah, I would like 712 00:34:27,040 --> 00:34:29,160 Speaker 5: to maybe, but it doesn't square with the Second Amendment. 713 00:34:29,160 --> 00:34:29,719 Speaker 2: How are you gonna? 714 00:34:29,719 --> 00:34:32,080 Speaker 5: Well, I know, but we've just got to do something. 715 00:34:32,360 --> 00:34:35,640 Speaker 5: I'm sorry, you're not an adult. Armstrong E Getdy wrapping 716 00:34:35,719 --> 00:34:39,319 Speaker 5: up another grueling four hour workday, grow up. So many 717 00:34:39,320 --> 00:34:41,760 Speaker 5: peoples like to thanks, so a little time a good Armstrong, 718 00:34:41,960 --> 00:34:46,920 Speaker 5: Yeddy dot com, the hotlinks, my hilariously badly designed tattoo. 719 00:34:48,360 --> 00:34:50,080 Speaker 5: What else do we have? Oh, drop a note mailbag 720 00:34:50,120 --> 00:34:51,359 Speaker 5: at armstrong in yiddy dot com. 721 00:34:51,440 --> 00:34:53,240 Speaker 4: I am gonna try to figure out how to find 722 00:34:53,239 --> 00:34:56,320 Speaker 4: that woman in Tipper. I have been shamed rightfully, so 723 00:34:56,640 --> 00:34:59,319 Speaker 4: see tomorrow. God bless America. Nobody's gonna fight in the 724 00:34:59,360 --> 00:35:01,600 Speaker 4: United States militarily over. 725 00:35:01,800 --> 00:35:04,760 Speaker 5: I'm Strong and Getty and the American people are scratching 726 00:35:04,760 --> 00:35:08,240 Speaker 5: their heads and saying, show's your genitals solve the whole problem. 727 00:35:08,280 --> 00:35:10,560 Speaker 5: Oh my lord, you're a real gentleman. 728 00:35:10,640 --> 00:35:12,440 Speaker 3: And we found the facts on the ground tell a 729 00:35:12,480 --> 00:35:13,200 Speaker 3: different story. 730 00:35:13,360 --> 00:35:18,680 Speaker 5: That can't handle her toxic ass no more. It's so unprecedential. 731 00:35:19,239 --> 00:35:23,120 Speaker 3: I'm just saying, the American people did not sign up 732 00:35:23,200 --> 00:35:24,680 Speaker 3: for this kind of adventures 733 00:35:24,680 --> 00:35:27,200 Speaker 2: By by Armstrong and Getty.