1 00:00:10,200 --> 00:00:14,480 Speaker 1: Broadcasting live from the Abraham Lincoln Radio Studio, the George 2 00:00:14,560 --> 00:00:18,840 Speaker 1: Washington Broadcast Center, Jack Armstrong and Joe Caddy arm. 3 00:00:18,760 --> 00:00:26,360 Speaker 2: Strong and Katy and No arms Strong and Getty strong Man. 4 00:00:32,320 --> 00:00:34,320 Speaker 2: It's a campus madness update. 5 00:00:34,440 --> 00:00:49,240 Speaker 3: Oh that's the madness part. He's not digging it. 6 00:00:50,960 --> 00:00:51,680 Speaker 4: I can't remember. 7 00:00:51,720 --> 00:00:52,360 Speaker 3: Is there more of that? 8 00:00:52,520 --> 00:00:55,040 Speaker 4: Okay? Here we're at the end and doing handful of 9 00:00:55,040 --> 00:00:57,000 Speaker 4: headlines for you, Jack, and we could really spend a 10 00:00:57,040 --> 00:00:59,360 Speaker 4: significant amount of time on any one of these, but 11 00:01:00,000 --> 00:01:04,920 Speaker 4: it definitely goes to the fact that crusaders against the 12 00:01:05,120 --> 00:01:07,880 Speaker 4: rot on our college campuses and actually our primary and 13 00:01:07,959 --> 00:01:11,520 Speaker 4: secondary educational systems too. We are not cherry picking. It's 14 00:01:11,520 --> 00:01:13,479 Speaker 4: more like we're standing in the midst of a cherry 15 00:01:13,640 --> 00:01:17,039 Speaker 4: orchard and you're accusing us of cherry picking. I mean, 16 00:01:17,080 --> 00:01:19,959 Speaker 4: we're surrounded by cherries. Anyway, I'm gonna start with this, 17 00:01:20,040 --> 00:01:22,760 Speaker 4: which is a little different than the other headlines. But 18 00:01:22,800 --> 00:01:26,119 Speaker 4: it was The New York Times doing a story on 19 00:01:26,160 --> 00:01:31,080 Speaker 4: how the federal policy changes changed on pell grants and 20 00:01:31,120 --> 00:01:34,880 Speaker 4: the Big Beautiful Bill and higher education grants and federal 21 00:01:34,920 --> 00:01:36,880 Speaker 4: loan caps and the rest of it. And what was 22 00:01:36,920 --> 00:01:40,319 Speaker 4: interesting to me about this And I'm sure you'll appreciate 23 00:01:40,400 --> 00:01:42,920 Speaker 4: this too, Jack, is that they mentioned that the reason 24 00:01:42,959 --> 00:01:47,080 Speaker 4: this discussion is so important is that the average cost 25 00:01:47,200 --> 00:01:51,640 Speaker 4: of public higher education in the United States has adjusted 26 00:01:51,640 --> 00:01:58,320 Speaker 4: for inflation, more than doubled since nineteen eighty. And they 27 00:01:58,360 --> 00:02:05,320 Speaker 4: don't spend a single word no less, I'm sorry, certainly 28 00:02:05,360 --> 00:02:08,120 Speaker 4: not a sentence or a paragraph in asking. 29 00:02:08,320 --> 00:02:12,240 Speaker 3: Why double right, doubled since nineteen eighty sounds low to 30 00:02:12,280 --> 00:02:13,200 Speaker 3: me by a lot. 31 00:02:13,360 --> 00:02:18,600 Speaker 4: The only thing they talk about is why government is 32 00:02:18,680 --> 00:02:21,600 Speaker 4: not doing more to hand people money to pay for 33 00:02:21,680 --> 00:02:25,560 Speaker 4: it because it's more than doubled. It's way more than doubled. 34 00:02:26,040 --> 00:02:31,440 Speaker 4: Absolutely nuts. Yeah, yeah, this is public colleges. 35 00:02:32,040 --> 00:02:34,880 Speaker 3: Who right anyway, But like I know a couple of 36 00:02:34,960 --> 00:02:38,320 Speaker 3: specific examples of it's doubled since people I know went 37 00:02:38,400 --> 00:02:39,360 Speaker 3: in the nineties. 38 00:02:39,880 --> 00:02:42,240 Speaker 4: Well right, right. But the point obviously is that The 39 00:02:42,240 --> 00:02:45,359 Speaker 4: New York Times doesn't even ask the question, just a 40 00:02:45,440 --> 00:02:49,519 Speaker 4: question of government grants to talk about a different mindset. 41 00:02:49,840 --> 00:02:53,600 Speaker 4: A bunch of headlines here, this is something else. As 42 00:02:53,639 --> 00:02:58,520 Speaker 4: it reloads three to one and we're back, the largest 43 00:02:58,520 --> 00:03:03,640 Speaker 4: teachers union in America is pushing Holocaust education that erases Jews. 44 00:03:04,440 --> 00:03:08,079 Speaker 4: The NEA now describes the Holocaust as having twelve million 45 00:03:08,160 --> 00:03:13,240 Speaker 4: victims from different faiths without mentioning the attempted extermination of 46 00:03:13,280 --> 00:03:13,760 Speaker 4: the Jewish. 47 00:03:13,760 --> 00:03:15,840 Speaker 3: W Wow, it was mostly Jews, as we all know, 48 00:03:16,000 --> 00:03:18,880 Speaker 3: as a chunk of Catholics and Gypsies and other people too, 49 00:03:18,960 --> 00:03:23,519 Speaker 3: But it's mostly Jews, so they're just going with different faiths. 50 00:03:23,600 --> 00:03:27,720 Speaker 4: Okay, Yes, in fact, that was the plan all along. 51 00:03:28,120 --> 00:03:30,040 Speaker 4: You may have heard of Hitler. He wrote a book 52 00:03:30,160 --> 00:03:33,160 Speaker 4: about it in which he expelled He spelled out exactly 53 00:03:33,200 --> 00:03:35,240 Speaker 4: what he's going to do, but not to the NEA. 54 00:03:36,200 --> 00:03:41,480 Speaker 4: Speaking of the NEA, they just scrubbed their twenty twenty 55 00:03:41,480 --> 00:03:46,480 Speaker 4: five handbook from their website. But the internet is forever, 56 00:03:47,200 --> 00:03:50,320 Speaker 4: and various school choice advocates have preserved all of it 57 00:03:50,360 --> 00:03:53,920 Speaker 4: for all of us, and the NEA. This is this 58 00:03:54,000 --> 00:03:58,840 Speaker 4: year's handbook says educators must acknowledge the existence of white 59 00:03:58,880 --> 00:04:03,200 Speaker 4: supremacy culture as a primary root cause of institutional racism, 60 00:04:03,280 --> 00:04:07,560 Speaker 4: structural racism, and white privilege, and educators must work to 61 00:04:07,640 --> 00:04:15,360 Speaker 4: prohibit institutionally racist systems and to bring them down. And 62 00:04:15,480 --> 00:04:20,279 Speaker 4: it's a chapter and verse of the whole DEI critical 63 00:04:20,400 --> 00:04:24,320 Speaker 4: race theory stuff. But the biggest teachers union in America 64 00:04:24,360 --> 00:04:27,280 Speaker 4: says that needs to be the top priority of teachers 65 00:04:27,560 --> 00:04:32,720 Speaker 4: is to dismantle white supremacy in our schools and our country. 66 00:04:32,839 --> 00:04:36,200 Speaker 3: Our public school system is completely broken. 67 00:04:37,120 --> 00:04:41,560 Speaker 4: Yeah, its long is how long will it take? Can 68 00:04:41,640 --> 00:04:42,240 Speaker 4: it be fixed? 69 00:04:42,279 --> 00:04:45,040 Speaker 3: Will just so many people have to pull out and 70 00:04:45,160 --> 00:04:48,839 Speaker 3: homeschool or private school I don't know. 71 00:04:49,360 --> 00:04:52,520 Speaker 4: Yeah, and school choice that Republicans are pushing right now, 72 00:04:52,600 --> 00:04:58,240 Speaker 4: Will so many people will leave the government schools in 73 00:04:58,320 --> 00:05:03,040 Speaker 4: favor of these schools that educate children, that the system 74 00:05:03,080 --> 00:05:04,880 Speaker 4: will collapse and ensure it has to. 75 00:05:04,960 --> 00:05:08,960 Speaker 3: Your number one priority should have been the entire time 76 00:05:08,960 --> 00:05:14,960 Speaker 3: and should always be for all eternity teaching, math, science, 77 00:05:14,960 --> 00:05:15,440 Speaker 3: and reading. 78 00:05:16,360 --> 00:05:21,600 Speaker 4: The end, the NEEA will push strategies fostering the eradication 79 00:05:21,640 --> 00:05:26,000 Speaker 4: of institutional racism, white privilege perpetuated by white supremacy. Culture 80 00:05:26,279 --> 00:05:29,839 Speaker 4: and school districts must provide training and cultural competence, implicit bias, 81 00:05:29,920 --> 00:05:33,560 Speaker 4: restorative practices and techniques, and racial justice. More on this 82 00:05:34,080 --> 00:05:36,760 Speaker 4: another time, but let's click on a few more headlines. 83 00:05:37,000 --> 00:05:39,200 Speaker 4: We didn't mention this and it was an oversight. We 84 00:05:39,440 --> 00:05:44,400 Speaker 4: just got really busy that UCLA, who were absolutely hammering 85 00:05:45,160 --> 00:05:49,000 Speaker 4: for their treatment of Jewish students, including the establishment of 86 00:05:49,040 --> 00:05:54,560 Speaker 4: a Jew exclusion zone. UCLA agreed last week to pay 87 00:05:54,560 --> 00:05:57,280 Speaker 4: more than six million dollars to settle a lawsuit brought 88 00:05:57,320 --> 00:06:00,479 Speaker 4: by Jewish students who said the universe a lot of 89 00:06:00,480 --> 00:06:05,880 Speaker 4: antisemitic demonstrations. I'm sorry discrimination during the Spring twenty twenty 90 00:06:05,880 --> 00:06:10,400 Speaker 4: four encampments, the anti Israel encampments, good for them, just 91 00:06:10,520 --> 00:06:14,440 Speaker 4: absolutely hammered UCLA, which is deserving of everything it gets. 92 00:06:14,800 --> 00:06:18,440 Speaker 4: George Mason University. On the other side of the country, 93 00:06:18,600 --> 00:06:22,240 Speaker 4: the president, facing an array of federal discrimination probes, is 94 00:06:22,320 --> 00:06:25,719 Speaker 4: tapped the ex Maryland Attorney General as his personal attorney 95 00:06:25,960 --> 00:06:29,520 Speaker 4: as an act of self preservation. This guy, Gregory Washington, 96 00:06:30,000 --> 00:06:37,800 Speaker 4: is adi woke crusader and has sanctioned and demanded racial 97 00:06:37,839 --> 00:06:42,320 Speaker 4: discrimination in practically everything George Mason University does. And if 98 00:06:42,360 --> 00:06:45,280 Speaker 4: you're not familiar with George Mason, it is an enormous 99 00:06:45,400 --> 00:06:49,640 Speaker 4: university in the Washington, DC area. It is the biggest 100 00:06:49,760 --> 00:06:55,080 Speaker 4: university in the University of Virginia system, so coast to coast, 101 00:06:55,440 --> 00:06:59,680 Speaker 4: all over the place, medical schools quietly maintain affirmative action. 102 00:07:00,040 --> 00:07:02,920 Speaker 4: Ording to Jason Riley in the Wall Street Journal, some 103 00:07:03,080 --> 00:07:06,520 Speaker 4: still use race to make commissions decisions, even though the 104 00:07:06,520 --> 00:07:10,400 Speaker 4: Supreme court said it's illegal. I just heard a story yesterday. 105 00:07:10,480 --> 00:07:13,880 Speaker 3: Have somebody who's apparently some sort of medical school star 106 00:07:15,360 --> 00:07:17,320 Speaker 3: who has a whole bunch of options to go to 107 00:07:17,360 --> 00:07:23,000 Speaker 3: different colleges for medical school and interview has interviewed. It's 108 00:07:23,320 --> 00:07:29,160 Speaker 3: a couple where the first question was what's your pronouns? 109 00:07:29,200 --> 00:07:32,240 Speaker 3: And this person does not swing that way politically and thought, 110 00:07:32,280 --> 00:07:35,720 Speaker 3: I'm not going to this school. Question number one to 111 00:07:35,840 --> 00:07:38,320 Speaker 3: decide if you want this star student to be in 112 00:07:38,360 --> 00:07:40,280 Speaker 3: your medical school, what are your pronouns? 113 00:07:40,720 --> 00:07:41,840 Speaker 4: How crazy is that? 114 00:07:42,200 --> 00:07:45,920 Speaker 3: Prioritizing that higher than prioritizing. 115 00:07:45,280 --> 00:07:45,840 Speaker 4: That at all. 116 00:07:46,080 --> 00:07:49,760 Speaker 3: Having it be part of it at all is crazy. 117 00:07:50,320 --> 00:07:54,840 Speaker 3: But making that like the top thing are you are 118 00:07:55,000 --> 00:07:57,400 Speaker 3: kind of people? Rather than whether or not you'd be 119 00:07:57,400 --> 00:08:00,080 Speaker 3: a good doctor, right, I mean if it was like 120 00:08:00,160 --> 00:08:04,040 Speaker 3: some sort of plumbers college, I would be thinking, well, 121 00:08:04,080 --> 00:08:07,360 Speaker 3: that's stupid, because like there will be leaks and bad 122 00:08:07,440 --> 00:08:09,480 Speaker 3: plumbing if you make that a priority. 123 00:08:09,600 --> 00:08:13,480 Speaker 4: This is like heart surgeons. Oh my god, it's obscene. 124 00:08:13,560 --> 00:08:16,480 Speaker 4: Do No Harm, A watchdog group that opposes racial preferences 125 00:08:16,680 --> 00:08:19,920 Speaker 4: analyze the last year's admissions data from twenty three public 126 00:08:19,960 --> 00:08:22,240 Speaker 4: medical schools. It found that at twenty two of the 127 00:08:22,280 --> 00:08:26,320 Speaker 4: twenty three Asian and white applicants who were accepted had 128 00:08:26,400 --> 00:08:29,520 Speaker 4: higher medical college admission test scores than their black peers, 129 00:08:29,920 --> 00:08:32,080 Speaker 4: and the data showed that at more than half of 130 00:08:32,120 --> 00:08:35,720 Speaker 4: the schools, the average MCAT that's the big test score 131 00:08:35,760 --> 00:08:39,040 Speaker 4: of Asian and white applicants who were rejected was higher 132 00:08:39,040 --> 00:08:41,319 Speaker 4: than that of the mcat's score of black applicants who 133 00:08:41,320 --> 00:08:49,600 Speaker 4: were accepted. And that's called there's a name for it, racism. Yeah, exactly, exactly. 134 00:08:50,200 --> 00:08:52,680 Speaker 4: The Trump administration has launched a probe of the Duke 135 00:08:52,800 --> 00:08:56,520 Speaker 4: Law Journal and warns their medical school is up next, 136 00:08:56,840 --> 00:09:01,680 Speaker 4: as they are promoting racial references and racial standards for 137 00:09:01,760 --> 00:09:04,560 Speaker 4: who gets to publish, who gets to be on the staff, 138 00:09:04,720 --> 00:09:08,160 Speaker 4: who gets to earn the accolades. No white people need apply, 139 00:09:08,480 --> 00:09:11,320 Speaker 4: honest to God, this is Duke University with the law 140 00:09:11,360 --> 00:09:15,200 Speaker 4: and medical schools. And then finally, that's a story in 141 00:09:15,240 --> 00:09:16,960 Speaker 4: the Wall Street Journal by a film by the name 142 00:09:17,000 --> 00:09:22,880 Speaker 4: of Colin Wright who was excluded at Cornell University from 143 00:09:23,000 --> 00:09:25,319 Speaker 4: a job for which he was eminently qualified, maybe the 144 00:09:25,360 --> 00:09:29,000 Speaker 4: most qualified guy in the country. They eliminated him purely 145 00:09:29,200 --> 00:09:32,240 Speaker 4: because he was a white man. And behind the scenes 146 00:09:32,320 --> 00:09:36,600 Speaker 4: memos which were issued or found during the discovery process 147 00:09:36,640 --> 00:09:38,920 Speaker 4: for this suit. Said yeah, no, we're not going to 148 00:09:39,000 --> 00:09:45,079 Speaker 4: hire a white guy. Absolutely overt racism at America's universities 149 00:09:46,360 --> 00:09:50,440 Speaker 4: coast to coast, Minnesota to Miami. It's unbelievable. It needs 150 00:09:50,480 --> 00:09:53,160 Speaker 4: to take it apart, be taken apart. It's campus madness. 151 00:09:54,400 --> 00:09:57,960 Speaker 4: Oh my god, what happened? 152 00:09:58,000 --> 00:10:01,559 Speaker 3: Man? 153 00:10:02,320 --> 00:10:04,439 Speaker 4: I love that little exclamation point. He stepped on a 154 00:10:04,520 --> 00:10:08,080 Speaker 4: nail or something. Well, she saw the madness around her, 155 00:10:08,120 --> 00:10:08,559 Speaker 4: You fool. 156 00:10:09,360 --> 00:10:15,480 Speaker 1: Wake up Jack Armstrong and Joe, The Armstrong and Getty Show, 157 00:10:19,640 --> 00:10:21,400 Speaker 1: The Armstrong and Geeddy Show. 158 00:10:25,040 --> 00:10:28,640 Speaker 4: Sam Altman of Open AI. He's been making the rounds 159 00:10:28,679 --> 00:10:32,559 Speaker 4: talking to various folks about how AI is going to 160 00:10:32,640 --> 00:10:36,679 Speaker 4: create just ginormous amounts of wealth but also put scats 161 00:10:36,679 --> 00:10:41,000 Speaker 4: of people out of work. And so he's pushing something 162 00:10:41,120 --> 00:10:44,720 Speaker 4: it's like universal basic income, but he calls it universal 163 00:10:44,880 --> 00:10:50,040 Speaker 4: extreme wealth, that everybody will just get the outflow of 164 00:10:50,080 --> 00:10:54,760 Speaker 4: wealth from this technological marvel he and others are designing. 165 00:10:55,120 --> 00:10:59,000 Speaker 3: I like how blase they are about restructuring society in 166 00:10:59,040 --> 00:11:00,360 Speaker 3: ways nobody has ever done. 167 00:11:00,840 --> 00:11:04,600 Speaker 4: In like six months from now, I mean, yeah, turning 168 00:11:04,679 --> 00:11:09,120 Speaker 4: us all into the idle rich and then it'll just 169 00:11:09,160 --> 00:11:12,160 Speaker 4: be grand and Marvey, think about the rich kids you 170 00:11:12,200 --> 00:11:14,160 Speaker 4: know that have been on trust funds their whole lives. 171 00:11:14,320 --> 00:11:18,040 Speaker 4: They've all got wonderful lives. So happiness and productivity right. 172 00:11:18,840 --> 00:11:22,760 Speaker 4: Elon Musk touts universal high income, the concept that AI 173 00:11:22,800 --> 00:11:25,000 Speaker 4: will automate most production and the public can share in 174 00:11:25,040 --> 00:11:29,080 Speaker 4: the revenue. Mark Benioff, CEO of Salesforce, says up to 175 00:11:29,200 --> 00:11:31,640 Speaker 4: half of the work at the company is now done 176 00:11:31,679 --> 00:11:35,520 Speaker 4: by AI. Oh my god. He is an evangelist for 177 00:11:35,640 --> 00:11:38,600 Speaker 4: universal basic income and said during the pandemic that he 178 00:11:38,640 --> 00:11:41,840 Speaker 4: sees COVID nineteen stimulus checks as a model for broader 179 00:11:41,840 --> 00:11:47,160 Speaker 4: income distribution. Oh wow, Mark, do you even read the news? 180 00:11:48,320 --> 00:11:49,080 Speaker 4: But so you. 181 00:11:48,960 --> 00:11:52,000 Speaker 3: Emphasized the you and universal. I wasn't picturing that. So 182 00:11:52,080 --> 00:11:52,640 Speaker 3: we're all. 183 00:11:52,480 --> 00:11:54,320 Speaker 4: Gonna get a chunk of the money. Well then how 184 00:11:54,320 --> 00:11:56,960 Speaker 4: about is he gonna be welfare? It's just gonna float everybody. 185 00:11:57,120 --> 00:11:57,840 Speaker 4: But we'll fine. 186 00:11:57,920 --> 00:12:00,720 Speaker 3: But if you don't have a job that was affected 187 00:12:00,720 --> 00:12:04,439 Speaker 3: by AI, I'm assuming this is enough to live on, 188 00:12:04,600 --> 00:12:05,640 Speaker 3: is the point they're making. 189 00:12:05,960 --> 00:12:08,160 Speaker 4: I mean, right, So if you. 190 00:12:08,080 --> 00:12:10,040 Speaker 3: Don't have a job affected by AI, why would you 191 00:12:10,120 --> 00:12:11,920 Speaker 3: keep working your job? Won't everybody quit? 192 00:12:12,559 --> 00:12:15,520 Speaker 4: Well? See that's the thing. Benioff actually sees it as 193 00:12:15,520 --> 00:12:18,560 Speaker 4: more of a welfare program. He wrote that automation will 194 00:12:18,640 --> 00:12:21,400 Speaker 4: drive income inequality one of the most overused in stupid 195 00:12:21,480 --> 00:12:24,880 Speaker 4: terms anywhere, and necessitate supplemental income quote for those who 196 00:12:24,880 --> 00:12:28,320 Speaker 4: cannot be retrained and even those traditionally not compensated for 197 00:12:28,400 --> 00:12:31,200 Speaker 4: raising a family or volunteering to help others. In other words, 198 00:12:31,240 --> 00:12:34,840 Speaker 4: a massive amount of wealth will be available, and politicians 199 00:12:34,880 --> 00:12:37,760 Speaker 4: will decide who gets what. They will rout it to 200 00:12:37,800 --> 00:12:39,880 Speaker 4: cronies and keep a fair amount for themselves. It will 201 00:12:39,920 --> 00:12:44,640 Speaker 4: just be uncountable scads of money. Now there are critics. 202 00:12:44,760 --> 00:12:49,480 Speaker 4: Not all of Silicon Valley is on board. Here's David Autor, 203 00:12:49,640 --> 00:12:53,120 Speaker 4: labor economist and MIT said the hypothetical society in which 204 00:12:53,120 --> 00:12:55,640 Speaker 4: the majority of income is distributed from a few sources 205 00:12:55,760 --> 00:13:01,280 Speaker 4: is frightening in a political fantasy. Land support universal income 206 00:13:01,320 --> 00:13:03,719 Speaker 4: because quote, they think they're gonna put everyone out of work, 207 00:13:03,760 --> 00:13:05,360 Speaker 4: and they don't have a better idea for what to 208 00:13:05,400 --> 00:13:06,080 Speaker 4: do about that. 209 00:13:06,160 --> 00:13:09,960 Speaker 3: He said, this, Yeah, this is a that's this whole 210 00:13:10,040 --> 00:13:14,400 Speaker 3: thing you've described is completely unworkable in any realistic sense. 211 00:13:14,600 --> 00:13:19,360 Speaker 3: So I is anybody thinking about this? Is Congress thinking 212 00:13:19,400 --> 00:13:19,920 Speaker 3: about this. 213 00:13:20,280 --> 00:13:24,200 Speaker 4: They should be if they're not interestingly. Venture capitalist Marc 214 00:13:24,240 --> 00:13:28,480 Speaker 4: Andreesen is my man in this uh. He says that 215 00:13:28,960 --> 00:13:31,640 Speaker 4: man was meant to be useful, to be productive, to 216 00:13:31,720 --> 00:13:37,040 Speaker 4: be proud, And if AI transforms every job, that's gonna 217 00:13:37,080 --> 00:13:41,760 Speaker 4: be a serious, serious challenge. That that's the big world's 218 00:13:41,760 --> 00:13:43,720 Speaker 4: biggest understatement, serious challenge. 219 00:13:44,160 --> 00:13:46,360 Speaker 3: Yeah, i'd say again, I don't know if I buy 220 00:13:46,400 --> 00:13:49,480 Speaker 3: this story in the Washington Post today. It's happening. People 221 00:13:49,520 --> 00:13:53,000 Speaker 3: are starting to talk like talk like chat GPT. Actually 222 00:13:53,040 --> 00:13:54,600 Speaker 3: I don't believe this at all, and I use chat 223 00:13:54,640 --> 00:13:57,920 Speaker 3: GPT probably more than the average person. It says here, 224 00:13:57,960 --> 00:14:02,520 Speaker 3: if you use chat GPT, claw Odd, Gemini or other 225 00:14:02,679 --> 00:14:09,000 Speaker 3: AI powered chatbots, so claude which one's claud that it's 226 00:14:09,040 --> 00:14:09,760 Speaker 3: a big one. 227 00:14:09,800 --> 00:14:12,200 Speaker 4: I can't remember whose that is, but I always start. 228 00:14:12,200 --> 00:14:12,920 Speaker 4: It's always on the lie. 229 00:14:12,960 --> 00:14:14,960 Speaker 3: I need to try that. I try. I try chat GBT, 230 00:14:15,040 --> 00:14:16,960 Speaker 3: and I do GROWK, but I haven't done the other ones. 231 00:14:17,120 --> 00:14:17,480 Speaker 4: Anyway. 232 00:14:17,760 --> 00:14:20,480 Speaker 3: It says, you're probably I'm operating under the assumption that 233 00:14:20,560 --> 00:14:24,320 Speaker 3: you're both speaking the same language. You input English, it 234 00:14:24,440 --> 00:14:25,800 Speaker 3: outputs English. 235 00:14:26,040 --> 00:14:27,320 Speaker 4: Except that's a misconception. 236 00:14:27,400 --> 00:14:29,200 Speaker 3: You've actually been speaking different languages. 237 00:14:29,240 --> 00:14:30,680 Speaker 4: I find this fascinating. 238 00:14:31,320 --> 00:14:34,400 Speaker 3: Rather than processing text like a human, the chatbot turns 239 00:14:34,400 --> 00:14:39,280 Speaker 3: your prompt into an embedding, a group of numbers represented 240 00:14:39,280 --> 00:14:43,520 Speaker 3: in a vector space, kind of like coordinates on a map. 241 00:14:43,560 --> 00:14:46,680 Speaker 3: But just as a map is a representation of representation 242 00:14:46,720 --> 00:14:50,479 Speaker 3: of territory, this embedding is a flattened representation of language. 243 00:14:52,600 --> 00:14:55,080 Speaker 4: The chatbot then formulates a reply. 244 00:14:55,080 --> 00:14:57,800 Speaker 3: Making a word by word prediction based on how it 245 00:14:57,880 --> 00:15:02,080 Speaker 3: was trained to answer pasted int. It sounds like it's 246 00:15:02,120 --> 00:15:05,400 Speaker 3: thinking and talking, but it's not. So This prediction the 247 00:15:05,480 --> 00:15:09,720 Speaker 3: chat the chatbot is making draws on biased training data, 248 00:15:10,400 --> 00:15:14,360 Speaker 3: the specific texts it learns from biased reinforcement learning, the 249 00:15:14,400 --> 00:15:17,760 Speaker 3: feedback it receives. Ultimately, what looks like English to you 250 00:15:17,880 --> 00:15:24,120 Speaker 3: is really just you know, trying to take human speech 251 00:15:24,200 --> 00:15:27,720 Speaker 3: and make it sound real. But it's using the predictions 252 00:15:27,720 --> 00:15:30,240 Speaker 3: based on all the inputs that can be flawed, which 253 00:15:30,280 --> 00:15:36,640 Speaker 3: we all need to recognize, like immediately, I think it's 254 00:15:36,640 --> 00:15:41,640 Speaker 3: too late already. But the examples they give in here 255 00:15:41,640 --> 00:15:43,680 Speaker 3: about how we're starting to talk like chat GPT, which 256 00:15:43,680 --> 00:15:46,840 Speaker 3: again I don't think is happening. Chat GPT uses the 257 00:15:46,840 --> 00:15:51,840 Speaker 3: word delve at higher rates than people use when writing 258 00:15:51,920 --> 00:15:56,760 Speaker 3: or speaking English according to a study, and well we 259 00:15:56,800 --> 00:16:01,040 Speaker 3: should examine, come a further study, come a look more 260 00:16:01,080 --> 00:16:05,040 Speaker 3: into that. But now people are starting to use it 261 00:16:05,120 --> 00:16:08,880 Speaker 3: more often, according to this researcher in articles and speech, 262 00:16:09,040 --> 00:16:10,760 Speaker 3: because chat GPT. 263 00:16:10,560 --> 00:16:11,440 Speaker 4: Used it more often. 264 00:16:12,760 --> 00:16:16,080 Speaker 3: So it's pushing the way we talk more towards the 265 00:16:16,080 --> 00:16:20,840 Speaker 3: way it talks. And the checkers say that delve has 266 00:16:20,840 --> 00:16:25,000 Speaker 3: become more common in speech since chat GPT launched, and 267 00:16:25,040 --> 00:16:27,200 Speaker 3: delve is just one example of words that he uses. 268 00:16:27,240 --> 00:16:28,880 Speaker 4: Do you buy that at all? I just don't buy 269 00:16:28,920 --> 00:16:31,920 Speaker 4: this at all. I don't know. I read the same 270 00:16:31,960 --> 00:16:35,320 Speaker 4: piece and it says that part of it is that 271 00:16:35,360 --> 00:16:38,120 Speaker 4: the people who look over these systems that are like 272 00:16:38,240 --> 00:16:42,640 Speaker 4: the employees of the large language model companies, are often 273 00:16:42,680 --> 00:16:46,760 Speaker 4: low wage workers from like Nigerian Kenya, where delve is 274 00:16:46,920 --> 00:16:50,080 Speaker 4: used at a higher rate than in American or British English. 275 00:16:51,000 --> 00:16:57,960 Speaker 4: I don't know. I don't think how intricate, commendable and meticulous. 276 00:16:58,200 --> 00:17:00,480 Speaker 3: But I don't think I've picked up any say or 277 00:17:00,600 --> 00:17:03,840 Speaker 3: words from the chatbots that I just find that impossible 278 00:17:03,840 --> 00:17:05,840 Speaker 3: to believe. I do think that we all need to 279 00:17:05,880 --> 00:17:08,320 Speaker 3: recognize that it's all about it predicts the next word 280 00:17:08,400 --> 00:17:10,600 Speaker 3: based on all the inputs it's been getting from all 281 00:17:10,600 --> 00:17:15,960 Speaker 3: these different sources, and it's not actually thinking right but right, 282 00:17:16,119 --> 00:17:18,320 Speaker 3: you know, especially if you're using the audio one it 283 00:17:18,440 --> 00:17:20,800 Speaker 3: sounds like a person and it calls me buddy. 284 00:17:20,720 --> 00:17:24,760 Speaker 4: So well, and if it predicts the answer that I'm 285 00:17:24,800 --> 00:17:28,680 Speaker 4: looking for, great, right, all right, it's not thinking. It's 286 00:17:28,720 --> 00:17:34,119 Speaker 4: not intelligence at all. It's just a glorified madlist Armstrong. 287 00:17:40,440 --> 00:17:42,200 Speaker 1: The Armstrong and Getty Show. 288 00:17:50,359 --> 00:17:53,200 Speaker 4: One of my favorite books I've ever read about politics 289 00:17:53,440 --> 00:17:56,959 Speaker 4: is the Myth of the Rational Voter. In the first 290 00:17:57,040 --> 00:18:00,040 Speaker 4: chunk of it, the main argument of it is, and 291 00:18:00,200 --> 00:18:04,399 Speaker 4: it's indisputable by the data, that there are certain economic 292 00:18:05,000 --> 00:18:09,960 Speaker 4: ideas and principles that people get wrong in much greater 293 00:18:10,040 --> 00:18:14,480 Speaker 4: numbers than they get right for some reason, like rent control, 294 00:18:15,119 --> 00:18:19,560 Speaker 4: Like that con Man communist, the communist if you will, 295 00:18:20,119 --> 00:18:23,479 Speaker 4: zoron Mumdani in New York is trying to pitch you 296 00:18:23,600 --> 00:18:27,119 Speaker 4: hit people, young people with rent control. They will, in 297 00:18:27,320 --> 00:18:31,920 Speaker 4: overwhelming numbers say that's a great idea. But then a 298 00:18:31,920 --> 00:18:34,720 Speaker 4: little edumacation, a little life experience, they understand, Oh it's 299 00:18:34,760 --> 00:18:39,000 Speaker 4: a terrible idea. It's like the worst idea. But generation 300 00:18:39,080 --> 00:18:42,600 Speaker 4: after generation people fall for certain economic arguments over and 301 00:18:42,640 --> 00:18:47,439 Speaker 4: over again. It's kind of interesting. Anyway. I'm reminded of 302 00:18:47,480 --> 00:18:50,280 Speaker 4: that when thinking about what we're going to play for 303 00:18:50,320 --> 00:18:53,720 Speaker 4: you believe it or not, it's a golfer at a 304 00:18:53,760 --> 00:18:57,119 Speaker 4: press conference. What Scotty Scheffler, who is the greatest golfer 305 00:18:57,160 --> 00:19:00,600 Speaker 4: on the planet, and more on that in a minute. 306 00:19:00,640 --> 00:19:06,000 Speaker 4: But when it comes to what will make me happy, 307 00:19:07,680 --> 00:19:09,960 Speaker 4: I think a lot of human beings, most of us, 308 00:19:10,320 --> 00:19:12,960 Speaker 4: are like those youngsters who think great control is a 309 00:19:12,960 --> 00:19:19,480 Speaker 4: good idea. Generation after generation, we chase the wrong things. 310 00:19:19,600 --> 00:19:22,359 Speaker 3: Yeah, this segment is about life satisfaction, not about golf. 311 00:19:22,440 --> 00:19:26,159 Speaker 4: Yeah. Yeah, Oh it's not. Oh my god, I was 312 00:19:26,200 --> 00:19:29,080 Speaker 4: going to go into a long discourse over the draw 313 00:19:29,240 --> 00:19:34,360 Speaker 4: versus the fade anyway, those are golf terms. Anyway. Yeah, 314 00:19:34,400 --> 00:19:37,320 Speaker 4: it's about life satisfaction. And so Scott Scheffler, who is 315 00:19:37,400 --> 00:19:41,600 Speaker 4: the greatest golfer on the planet currently and very very 316 00:19:41,640 --> 00:19:48,520 Speaker 4: well liked because he's very normal as a dude, happens 317 00:19:48,560 --> 00:19:51,760 Speaker 4: to be a fairly devout Christian and a family manager. 318 00:19:51,760 --> 00:19:56,080 Speaker 4: You're about to hear very much. Not like Tiger the Assassin. 319 00:19:56,960 --> 00:20:00,400 Speaker 4: He's a great competitor in the rest of but he's 320 00:20:00,440 --> 00:20:03,240 Speaker 4: kind of a different guy anyway. They're asking him about 321 00:20:03,280 --> 00:20:08,480 Speaker 4: his superachievements this year and previous years at a press conference, 322 00:20:08,520 --> 00:20:10,639 Speaker 4: and this is what he said. We'll start with sixteen 323 00:20:10,640 --> 00:20:12,159 Speaker 4: and go from there. Michael. You know, I think it's 324 00:20:12,240 --> 00:20:12,680 Speaker 4: kind of funny. 325 00:20:12,720 --> 00:20:16,240 Speaker 5: I think, you know, I think I said something after 326 00:20:16,280 --> 00:20:20,399 Speaker 5: the Buyer in this year about like it feels like 327 00:20:20,400 --> 00:20:24,159 Speaker 5: you work your whole life to celebrate winning a tournament 328 00:20:24,240 --> 00:20:27,399 Speaker 5: for like a few minutes and only lasts a few minutes, 329 00:20:27,400 --> 00:20:30,119 Speaker 5: that kind of euphoric feeling. And I like to win 330 00:20:30,160 --> 00:20:32,720 Speaker 5: the Buyer Nelson Championship at home. I literally worked my 331 00:20:32,840 --> 00:20:34,600 Speaker 5: entire life to become good at golf to have an 332 00:20:34,600 --> 00:20:38,720 Speaker 5: opportunity to win that tournament. And you win it, you celebrate, 333 00:20:38,840 --> 00:20:41,000 Speaker 5: get to hug, hug my family, My sister's there at 334 00:20:41,040 --> 00:20:44,959 Speaker 5: such an amazing moment, and then it's like, Okay, now 335 00:20:45,000 --> 00:20:46,040 Speaker 5: what are we gonna eat for dinner? 336 00:20:46,119 --> 00:20:49,199 Speaker 4: You know, life goes on, go ahead, roll on. 337 00:20:49,840 --> 00:20:51,679 Speaker 5: Is it great to be able to win tournaments and 338 00:20:51,720 --> 00:20:53,280 Speaker 5: to accomplish the things I have in the game of golf? 339 00:20:53,359 --> 00:20:55,760 Speaker 5: Yet I mean it brings tears misers to think about 340 00:20:55,760 --> 00:20:59,680 Speaker 5: because it's literally worked my entire life. To become good 341 00:20:59,680 --> 00:21:02,400 Speaker 5: at this and to have that kind of sense of accomplishment, 342 00:21:02,440 --> 00:21:05,200 Speaker 5: I think is is a pretty cool feeling, you know, 343 00:21:05,280 --> 00:21:06,240 Speaker 5: to get to live out your dreams. 344 00:21:06,280 --> 00:21:07,960 Speaker 4: It's very special. But at the end of the day, 345 00:21:08,280 --> 00:21:09,040 Speaker 4: it's like, I'm. 346 00:21:09,000 --> 00:21:11,480 Speaker 5: Not out here to inspire the next generation of golfers. 347 00:21:11,520 --> 00:21:14,080 Speaker 5: I don't I'm not here to inspire somebody else to 348 00:21:14,080 --> 00:21:15,800 Speaker 5: be the best player in the world, because what's the point. 349 00:21:15,880 --> 00:21:19,720 Speaker 4: You know, this is not a fulfilling life. 350 00:21:19,800 --> 00:21:22,280 Speaker 5: It's it's fulfilling from the sense of accomplishment, but it's 351 00:21:22,280 --> 00:21:25,080 Speaker 5: not fulfilling from a sense of like the deepest, you know, 352 00:21:25,920 --> 00:21:27,359 Speaker 5: places of your heart. You know, there's a lot of 353 00:21:27,400 --> 00:21:30,560 Speaker 5: people that make it to what they thought was going 354 00:21:30,640 --> 00:21:32,159 Speaker 5: to fulfill them in life, and then you get there 355 00:21:32,200 --> 00:21:33,679 Speaker 5: and all of a sudden, you get to number one 356 00:21:33,680 --> 00:21:35,240 Speaker 5: in the world and they're like, what's the point? 357 00:21:35,600 --> 00:21:37,960 Speaker 4: And you know, I really do believe that. 358 00:21:38,359 --> 00:21:41,760 Speaker 3: I think I think most everybody has had that experience 359 00:21:41,840 --> 00:21:43,919 Speaker 3: or has that experience. At some point, you get the 360 00:21:44,960 --> 00:21:49,680 Speaker 3: whatever it is you've been wanting to get and okay, hmm, 361 00:21:51,280 --> 00:21:55,359 Speaker 3: the satisfaction of that didn't last very long, and you 362 00:21:55,440 --> 00:21:56,840 Speaker 3: have to wrestle with what am I? 363 00:21:57,359 --> 00:21:59,840 Speaker 4: You know? What what am I doing? Or what do 364 00:21:59,880 --> 00:22:02,000 Speaker 4: I enjoy? Or why am I? Why am I getting 365 00:22:02,080 --> 00:22:03,640 Speaker 4: up every morning? Right? 366 00:22:03,760 --> 00:22:06,639 Speaker 3: And it's the process and just the daily life. My 367 00:22:06,720 --> 00:22:09,520 Speaker 3: dad was always really good at this, and just Youlays 368 00:22:09,600 --> 00:22:11,640 Speaker 3: use the example of taking out the trash. People don't 369 00:22:11,680 --> 00:22:13,720 Speaker 3: like complain about doing this and that, and that's what 370 00:22:13,760 --> 00:22:18,840 Speaker 3: life is. Life is taking out the trash and doing 371 00:22:18,840 --> 00:22:20,960 Speaker 3: the dishes and getting up and going to work and 372 00:22:21,040 --> 00:22:23,600 Speaker 3: raising all the things that you do that seem like 373 00:22:23,600 --> 00:22:25,600 Speaker 3: they're in the way of your That's what life is, 374 00:22:26,640 --> 00:22:28,000 Speaker 3: right right, Let's throw along. 375 00:22:28,720 --> 00:22:29,720 Speaker 4: You know, what is the point? 376 00:22:29,840 --> 00:22:31,560 Speaker 5: You're like, why do I want to win this tournament 377 00:22:31,600 --> 00:22:33,159 Speaker 5: so bad? That's something that I wrestle with on a 378 00:22:33,200 --> 00:22:35,639 Speaker 5: daily basis. It's like showed up with the Masters every year. 379 00:22:35,680 --> 00:22:38,040 Speaker 5: It's like, why do I want to win this golf 380 00:22:38,080 --> 00:22:40,000 Speaker 5: tournament so badly? Why do I want to win the 381 00:22:40,000 --> 00:22:44,600 Speaker 5: Open Championship so badly? I don't know, because if I win, 382 00:22:44,960 --> 00:22:47,679 Speaker 5: it's gonna be awesome for about two minutes, and then 383 00:22:47,680 --> 00:22:48,879 Speaker 5: we're going to get to the next week and it's 384 00:22:48,880 --> 00:22:50,320 Speaker 5: gonna be like, hey, you want two majors this year? 385 00:22:50,359 --> 00:22:52,200 Speaker 5: How important is it for you? To win the fext cuplayoffs, 386 00:22:52,240 --> 00:22:54,639 Speaker 5: and it's just like we're back here again, you know, 387 00:22:55,680 --> 00:22:57,720 Speaker 5: So we really do. We work so hard for such 388 00:22:57,800 --> 00:23:00,960 Speaker 5: little moments, and you know, I'm kind of sick of 389 00:23:01,040 --> 00:23:03,360 Speaker 5: I love putting in the work, I love being able 390 00:23:03,359 --> 00:23:05,320 Speaker 5: to practice. I love getting out to live out my dreams. 391 00:23:05,359 --> 00:23:07,000 Speaker 5: But at the end of the day, sometimes I just 392 00:23:07,000 --> 00:23:09,360 Speaker 5: don't understand the point, you know, because. 393 00:23:11,920 --> 00:23:13,439 Speaker 4: I don't know if I'm making any sense or not. 394 00:23:13,560 --> 00:23:15,439 Speaker 4: But am I not. 395 00:23:16,480 --> 00:23:18,480 Speaker 5: It's just it's just one of those deals, you know. 396 00:23:18,560 --> 00:23:20,680 Speaker 5: I I love the challenge. I love being able to 397 00:23:20,720 --> 00:23:22,399 Speaker 5: play this game for a living. It's it's one of 398 00:23:22,440 --> 00:23:25,080 Speaker 5: the greatest joys of my life. But does it fill 399 00:23:25,200 --> 00:23:27,560 Speaker 5: the deepest, you know, wants and desires of my heart. 400 00:23:27,880 --> 00:23:32,720 Speaker 5: Absolutely not. I mean, I love playing golf. I love 401 00:23:32,760 --> 00:23:34,720 Speaker 5: being able to compete. I love living out my dreams. 402 00:23:36,160 --> 00:23:37,920 Speaker 5: I love being a father. I love being able to 403 00:23:37,960 --> 00:23:39,560 Speaker 5: take care of my son. I love being able to 404 00:23:39,560 --> 00:23:42,639 Speaker 5: provide for my family out here playing golf. And you know, 405 00:23:42,680 --> 00:23:44,560 Speaker 5: every day when I wake up early to go put 406 00:23:44,560 --> 00:23:47,520 Speaker 5: in the work, you know, my wife thanks me for 407 00:23:47,560 --> 00:23:49,680 Speaker 5: going out and working so hard, and when I get home, 408 00:23:49,760 --> 00:23:51,239 Speaker 5: I try and thank her every day for taking care 409 00:23:51,280 --> 00:23:53,680 Speaker 5: of our son. It's just you know, that's why I 410 00:23:53,680 --> 00:23:56,159 Speaker 5: talk about families being my priority, because it really is. 411 00:23:56,200 --> 00:23:57,840 Speaker 5: You know, I'm blessed to be able to come out 412 00:23:57,840 --> 00:24:01,200 Speaker 5: here and play golf. But if my ever started affecting 413 00:24:01,200 --> 00:24:03,560 Speaker 5: my home life or whatever affected the relationship I have 414 00:24:03,680 --> 00:24:05,360 Speaker 5: with my wife or with my son, you know that's 415 00:24:05,359 --> 00:24:06,600 Speaker 5: gonna be the last day that I play out here 416 00:24:06,640 --> 00:24:08,800 Speaker 5: for a living. You know, this is not the be 417 00:24:08,920 --> 00:24:10,920 Speaker 5: all and all. This is not the most important thing 418 00:24:10,920 --> 00:24:13,360 Speaker 5: in my life. And that's why I wrestle with why 419 00:24:13,440 --> 00:24:15,359 Speaker 5: is this so important to me? Because you know, I 420 00:24:15,400 --> 00:24:17,240 Speaker 5: would much rather be a great father than I wouldn't 421 00:24:17,200 --> 00:24:18,919 Speaker 5: be a great offer. You know that at the end 422 00:24:18,960 --> 00:24:22,800 Speaker 5: of the day, that that's what's more important to me. 423 00:24:24,520 --> 00:24:28,680 Speaker 4: So, just to summarize, I think a lot of us 424 00:24:28,720 --> 00:24:31,800 Speaker 4: and I mean us. Oh, let me put this aside. Yeah, 425 00:24:31,800 --> 00:24:33,560 Speaker 4: the money's pretty good. He's made a hell of a 426 00:24:33,560 --> 00:24:35,679 Speaker 4: lot of money. He lives a great lifestyle. He doesn't 427 00:24:35,720 --> 00:24:38,760 Speaker 4: have to worry about money ever again, which is a 428 00:24:38,800 --> 00:24:42,760 Speaker 4: big deal if you've ever or are currently worried about money. 429 00:24:43,400 --> 00:24:47,080 Speaker 4: I get that. But having said that, I think all 430 00:24:47,119 --> 00:24:53,480 Speaker 4: of us, I think happiness is the like the triumph 431 00:24:53,720 --> 00:24:57,480 Speaker 4: or that's what we're looking for, or the falling in love, 432 00:24:57,800 --> 00:25:02,280 Speaker 4: or the big win or the fail or the congratulations 433 00:25:02,280 --> 00:25:05,920 Speaker 4: from the crowd or your contemporar is your colleagues even 434 00:25:06,400 --> 00:25:11,320 Speaker 4: but it's not there, right. 435 00:25:11,520 --> 00:25:13,600 Speaker 3: So one thing that popped into my mind is it 436 00:25:13,640 --> 00:25:16,040 Speaker 3: reminded me of Woody Allen talking a lot in his book. 437 00:25:16,080 --> 00:25:17,959 Speaker 3: Woody Allen is a movie director, one of the most 438 00:25:18,000 --> 00:25:19,680 Speaker 3: famous movie directors of all time. If you don't know 439 00:25:19,720 --> 00:25:22,200 Speaker 3: who he is anyway, in his autobiography that he wrote 440 00:25:22,240 --> 00:25:25,840 Speaker 3: a couple of years ago, he loved making movies the 441 00:25:25,880 --> 00:25:30,600 Speaker 3: way this guy loves practicing and the process. But like 442 00:25:30,640 --> 00:25:32,920 Speaker 3: he'd finish the movie and be like, you just see 443 00:25:32,920 --> 00:25:34,560 Speaker 3: what he's done and move on to the next one. 444 00:25:34,640 --> 00:25:37,680 Speaker 3: He's like, no enjoyment in the finished product. He'd never 445 00:25:37,760 --> 00:25:40,280 Speaker 3: watch him. He would never pay any attention to the refuse. 446 00:25:40,600 --> 00:25:42,800 Speaker 3: It was just the process was the only thing that 447 00:25:43,000 --> 00:25:47,200 Speaker 3: there was an enjoyment, The thing that most well, I 448 00:25:47,200 --> 00:25:49,160 Speaker 3: don't know most people, but a lot of people think 449 00:25:49,200 --> 00:25:52,800 Speaker 3: would be where you get the enjoyment. The finished product 450 00:25:52,920 --> 00:25:55,760 Speaker 3: or the winning the tournament or becoming the top salesman 451 00:25:55,880 --> 00:25:57,399 Speaker 3: or whatever is. 452 00:25:57,320 --> 00:26:00,520 Speaker 4: Not what you think it was gonna be. Yeah, you 453 00:26:00,600 --> 00:26:03,080 Speaker 4: can get quite satisfaction out of it, like he was 454 00:26:03,080 --> 00:26:08,760 Speaker 4: talking about. But the idea of like constant joy is 455 00:26:08,760 --> 00:26:12,480 Speaker 4: that the right word, uh, you know, happiness slash euphoria 456 00:26:12,960 --> 00:26:18,280 Speaker 4: slash cheerfulness slash excitement. That's just that's not what we 457 00:26:18,400 --> 00:26:21,719 Speaker 4: need to chase because it's illusory. It goes way so quickly, 458 00:26:21,840 --> 00:26:24,159 Speaker 4: you know, it was kind of it passed by so quickly. 459 00:26:24,560 --> 00:26:27,160 Speaker 4: But I can relate to and it's a great description. 460 00:26:27,560 --> 00:26:30,240 Speaker 4: So he wins a super giant golf tournament that that 461 00:26:30,480 --> 00:26:34,080 Speaker 4: millions of people around the world just dream of being 462 00:26:34,080 --> 00:26:36,560 Speaker 4: good enough to win that tournament, having the acclaim, getting 463 00:26:36,640 --> 00:26:39,880 Speaker 4: the check, blah blah blah, and then you know, half 464 00:26:39,920 --> 00:26:41,800 Speaker 4: an hour later, it's like, what do you want to 465 00:26:41,840 --> 00:26:45,679 Speaker 4: have for dinner? That's a pretty good description of the 466 00:26:45,680 --> 00:26:50,359 Speaker 4: way life really is. Yes, it's about the people you 467 00:26:50,440 --> 00:26:53,840 Speaker 4: care about. I mean, isn't that just the bottom line? 468 00:26:54,040 --> 00:26:55,920 Speaker 3: Yeah? So, and I get I get well, I guess 469 00:26:55,960 --> 00:26:57,800 Speaker 3: the ultimate point would be you have to enjoy the 470 00:26:57,840 --> 00:27:01,240 Speaker 3: process of life, not making a movie or becoming a 471 00:27:01,280 --> 00:27:03,679 Speaker 3: golfer or whatever or whatever it does you do, just 472 00:27:03,760 --> 00:27:08,439 Speaker 3: process of life, the daily grind, which is what it 473 00:27:08,480 --> 00:27:10,760 Speaker 3: feels like a lot of times is what life is, 474 00:27:11,040 --> 00:27:15,480 Speaker 3: and you gotta find it. If you're waiting for the payoff, 475 00:27:15,640 --> 00:27:16,359 Speaker 3: it ain't coming. 476 00:27:17,520 --> 00:27:22,320 Speaker 4: Oh, folks, that was the payoff. The payoff is there's 477 00:27:22,359 --> 00:27:29,040 Speaker 4: no payoff, Kirk Bluie. That should be taught more. 478 00:27:29,920 --> 00:27:31,840 Speaker 3: I think that that's not I think that's the opposite 479 00:27:31,840 --> 00:27:35,000 Speaker 3: of what our culture tends to tell us. 480 00:27:35,240 --> 00:27:41,840 Speaker 4: Right right right. The movie doesn't end. There's no end 481 00:27:41,880 --> 00:27:45,280 Speaker 4: to the movie. Your part is just written out now. 482 00:27:45,359 --> 00:27:47,200 Speaker 4: If you want to get it metaphysical and talk about 483 00:27:47,200 --> 00:27:49,960 Speaker 4: religion and life after death or whatever, that's a completely 484 00:27:50,040 --> 00:27:54,880 Speaker 4: different topic. But no, you don't win. You never win. 485 00:27:55,040 --> 00:27:59,440 Speaker 4: You just keep playing. Maybe that's how I would sum 486 00:27:59,480 --> 00:27:59,800 Speaker 4: it up. 487 00:28:00,119 --> 00:28:02,800 Speaker 3: And if you enjoy it the best you can, well, 488 00:28:02,880 --> 00:28:04,919 Speaker 3: I think part of the reason that a person like 489 00:28:05,000 --> 00:28:06,639 Speaker 3: you know not to bring it back to golf, but 490 00:28:06,680 --> 00:28:08,680 Speaker 3: you could apply this to anybody. A guy like Tiger 491 00:28:08,720 --> 00:28:11,080 Speaker 3: Woods goes off the rails. I think he was probably 492 00:28:11,080 --> 00:28:13,760 Speaker 3: convinced that the payoff was going to be the payoff 493 00:28:13,840 --> 00:28:16,639 Speaker 3: and the thing, and it wasn't enough, and so he 494 00:28:16,680 --> 00:28:19,440 Speaker 3: needed all the women in the and whatever all other 495 00:28:19,520 --> 00:28:23,240 Speaker 3: weird things he was doing to try to get the 496 00:28:23,359 --> 00:28:24,359 Speaker 3: high that he needed. 497 00:28:25,000 --> 00:28:29,720 Speaker 4: Yeah, he wanted that fist pumping, yelling moment to like last, 498 00:28:30,800 --> 00:28:31,560 Speaker 4: that was the gold. 499 00:28:31,760 --> 00:28:34,000 Speaker 3: So to the idea that there is no payoff, here's 500 00:28:34,040 --> 00:28:35,679 Speaker 3: here's the you know, here's the key thing to know 501 00:28:35,720 --> 00:28:38,400 Speaker 3: about life. There is no payoff. Can how many of us? 502 00:28:38,400 --> 00:28:40,080 Speaker 3: Can you look at the day today and I've got 503 00:28:40,080 --> 00:28:46,040 Speaker 3: a very mundane, routine day work, got an appointment with something, 504 00:28:46,120 --> 00:28:49,480 Speaker 3: somebody's gonna come fix something on my car, blah blah blah, 505 00:28:49,520 --> 00:28:50,920 Speaker 3: take care of the kids. Meal for saying? 506 00:28:51,600 --> 00:28:51,719 Speaker 4: Uh? 507 00:28:52,040 --> 00:28:53,800 Speaker 3: Can I Can you get up every day and think 508 00:28:53,840 --> 00:28:56,720 Speaker 3: today is the payoff? This is the payoff? Today is 509 00:28:56,760 --> 00:29:01,040 Speaker 3: my payoff? Is that motivating? That is hard? 510 00:29:01,680 --> 00:29:03,840 Speaker 4: Yeah? I don't know. I blew my own mind. The 511 00:29:03,880 --> 00:29:07,120 Speaker 4: great philosophers of the world have concerned themselves with this 512 00:29:07,360 --> 00:29:10,640 Speaker 4: very question, and they've come up with different answers. 513 00:29:10,680 --> 00:29:13,479 Speaker 3: I may have immobilized myself. I mean, I might not 514 00:29:13,480 --> 00:29:15,400 Speaker 3: be able to function the rest of the day. I'm 515 00:29:15,440 --> 00:29:17,160 Speaker 3: gonna lock up and they're going to carry me out 516 00:29:17,160 --> 00:29:20,960 Speaker 3: of here on ajourney ironic. Yeah, that would be unfortunate. 517 00:29:22,160 --> 00:29:31,520 Speaker 1: Jack Armstrong and Joe the Armstrong and Getty Show, thee 518 00:29:31,840 --> 00:29:33,200 Speaker 1: Armstrong and yetty show. 519 00:29:36,080 --> 00:29:39,160 Speaker 4: And this is the reason I'm disgusted and embittered. This 520 00:29:39,240 --> 00:29:42,440 Speaker 4: is the most sausagey of sausage making. If you're familiar 521 00:29:42,480 --> 00:29:47,680 Speaker 4: with the old reference to politics, here's your headline from 522 00:29:47,680 --> 00:29:49,320 Speaker 4: the wa Pole. I'm gonna read you just a little 523 00:29:49,320 --> 00:29:52,000 Speaker 4: bit because it's kind of a revealing of at least 524 00:29:52,880 --> 00:29:56,840 Speaker 4: a couple of things. Trump's tax and immigration bill clears 525 00:29:56,880 --> 00:30:00,160 Speaker 4: Hurtle after late night vote to the House Budget. He 526 00:30:00,200 --> 00:30:03,400 Speaker 4: passed a massive tax and immigration package central President Trump's 527 00:30:03,440 --> 00:30:09,560 Speaker 4: agenda late Sunday, overcoming opposition from hardline conservatives, overspending four 528 00:30:09,680 --> 00:30:14,040 Speaker 4: fiscal conservatives all deficit hawks aligned with the ull truck 529 00:30:14,080 --> 00:30:18,840 Speaker 4: conservative House Freedom Caucus, changed their vote to present, allowing 530 00:30:18,880 --> 00:30:24,600 Speaker 4: the legislative monstrosity I injected that package to be recommended 531 00:30:24,720 --> 00:30:28,960 Speaker 4: favorably to the House by a vote of seventeen to sixteen. 532 00:30:29,840 --> 00:30:32,040 Speaker 4: But their hesitance to vote for the One Big Beautiful 533 00:30:32,080 --> 00:30:34,440 Speaker 4: Bill Act out of committee is a reminder that the 534 00:30:34,640 --> 00:30:39,080 Speaker 4: far right flank of the Republican Conference remains skeptical. 535 00:30:39,400 --> 00:30:42,440 Speaker 3: It's interesting they call these people ultra conservative of right wing, 536 00:30:42,560 --> 00:30:45,360 Speaker 3: when not very many years ago you would have been 537 00:30:45,440 --> 00:30:48,360 Speaker 3: the center of the Republican Party. I mean that would 538 00:30:48,360 --> 00:30:52,400 Speaker 3: have been I mean, as like what the Republican Party was. 539 00:30:51,800 --> 00:30:54,440 Speaker 3: It was a term you would have used to define 540 00:30:54,520 --> 00:30:55,200 Speaker 3: the party. 541 00:30:55,920 --> 00:30:58,960 Speaker 4: In fact, it was so intrinsic to the Republican Party 542 00:30:59,000 --> 00:31:02,840 Speaker 4: you'd feel silly and repeating what you just repeat it right, 543 00:31:02,920 --> 00:31:04,920 Speaker 4: that there's no need fiscally conservative. 544 00:31:05,040 --> 00:31:09,280 Speaker 3: But I suppose in reality, given where most of the 545 00:31:09,320 --> 00:31:13,560 Speaker 3: party is, they are ultra right wing or ultra conservative 546 00:31:13,600 --> 00:31:17,360 Speaker 3: because the bulk of the party doesn't care apparently apparently 547 00:31:17,400 --> 00:31:18,000 Speaker 3: not voters. 548 00:31:18,080 --> 00:31:22,840 Speaker 4: So spending your children and grandchildren into tax and spend oblivion. 549 00:31:22,960 --> 00:31:25,000 Speaker 3: Well all right, Well this story got repeated a lot 550 00:31:25,000 --> 00:31:27,040 Speaker 3: over the weekend that we got downgraded on one of 551 00:31:27,040 --> 00:31:30,360 Speaker 3: our credit scores by one of the major organizations that 552 00:31:30,400 --> 00:31:32,560 Speaker 3: does that sort of thing. Yeah, and. 553 00:31:34,520 --> 00:31:35,840 Speaker 4: Over the weekend it kind of. 554 00:31:35,760 --> 00:31:38,440 Speaker 3: Got put out there that it was like a Trump 555 00:31:38,560 --> 00:31:42,600 Speaker 3: thing because of tariffs or whatever. It was basically around 556 00:31:43,160 --> 00:31:45,320 Speaker 3: the fact that our debt is just so high. It's 557 00:31:45,360 --> 00:31:47,080 Speaker 3: just like this would happen to you if you go 558 00:31:47,200 --> 00:31:49,800 Speaker 3: to the bank and they take a look at your 559 00:31:49,840 --> 00:31:52,480 Speaker 3: well you've got with your car payments. Now you bought 560 00:31:52,520 --> 00:31:55,320 Speaker 3: like eight cars and two houses, and you're just you're 561 00:31:55,360 --> 00:31:57,280 Speaker 3: just overmaxed, So we can't. 562 00:31:57,080 --> 00:31:59,800 Speaker 4: Have eighty thousand dollars in credit card bills and you 563 00:32:00,080 --> 00:32:01,840 Speaker 4: only make ninety a year. 564 00:32:01,960 --> 00:32:04,320 Speaker 3: Right, right, So these jong grady because you just spend 565 00:32:04,320 --> 00:32:07,480 Speaker 3: more than you make. That's what happened. That didn't happen 566 00:32:07,640 --> 00:32:09,479 Speaker 3: just in the last one hundred days under Trump. 567 00:32:09,680 --> 00:32:12,320 Speaker 4: We've been building this for a long time. And the 568 00:32:12,360 --> 00:32:16,600 Speaker 4: final reason I am completely embittered about the Republican Party 569 00:32:16,640 --> 00:32:20,160 Speaker 4: in politics and America and democracy and life on Earth 570 00:32:20,760 --> 00:32:27,160 Speaker 4: is the fact that, and it's a two part horror show, 571 00:32:27,680 --> 00:32:30,440 Speaker 4: Part number one is that there are a bunch of 572 00:32:30,920 --> 00:32:34,840 Speaker 4: swing district Republicans from big blue states California and New 573 00:32:34,880 --> 00:32:38,719 Speaker 4: York most notably, who are not only trying to defend 574 00:32:38,720 --> 00:32:41,440 Speaker 4: the idea of the salt deduction, the state and local 575 00:32:41,480 --> 00:32:44,320 Speaker 4: tax deduction, they want to raise it from ten thousand 576 00:32:44,320 --> 00:32:48,360 Speaker 4: dollars to at least thirty thousand dollars and maybe fifty 577 00:32:48,440 --> 00:32:52,560 Speaker 4: thousand dollars. Meaning, if you live in a tax and 578 00:32:52,640 --> 00:32:56,760 Speaker 4: spend lunatic state like say California, all of those incredibly 579 00:32:56,840 --> 00:32:59,320 Speaker 4: high taxes you're paying you can deduct from your federal 580 00:32:59,360 --> 00:33:04,120 Speaker 4: tax return, so the other states will subsidize the tax 581 00:33:04,160 --> 00:33:06,800 Speaker 4: and spend lunacy of New York and California. 582 00:33:06,880 --> 00:33:10,040 Speaker 3: So my brothers in Kansas pay some of my taxes 583 00:33:10,080 --> 00:33:11,400 Speaker 3: because I live in California. 584 00:33:11,480 --> 00:33:15,640 Speaker 4: That makes sense. Yeah, you get a giant subsidy from 585 00:33:15,680 --> 00:33:18,360 Speaker 4: the other states, you pay a lower federal tax rate, 586 00:33:18,440 --> 00:33:21,040 Speaker 4: significantly lower depending on you know, how much money you 587 00:33:21,080 --> 00:33:29,920 Speaker 4: make than folks in fiscally responsible states. As indefensible morally, 588 00:33:30,040 --> 00:33:35,000 Speaker 4: it's indefensible as for Republican reason, not the party, but 589 00:33:35,080 --> 00:33:38,440 Speaker 4: the idea of we have a federal system than states, 590 00:33:38,480 --> 00:33:40,680 Speaker 4: and the states can do what they want, and they 591 00:33:40,680 --> 00:33:41,600 Speaker 4: should do what they want. 592 00:33:41,640 --> 00:33:45,720 Speaker 3: If you're fine, if Massachusetts wants to have a sixty 593 00:33:45,840 --> 00:33:47,480 Speaker 3: five percent income. 594 00:33:47,160 --> 00:33:50,800 Speaker 4: Tax, go ahead. I'm not living there, but go ahead. 595 00:33:51,040 --> 00:33:55,360 Speaker 4: But then to transfer that profligacy to the other states 596 00:33:55,520 --> 00:34:00,640 Speaker 4: is it's a horror. And as a conservative slash Republican, 597 00:34:00,680 --> 00:34:04,320 Speaker 4: he says, trying not to vomit because of my embitteredness, 598 00:34:05,920 --> 00:34:09,480 Speaker 4: the idea that that is a plank of the Republican Party. 599 00:34:09,800 --> 00:34:10,400 Speaker 4: I'm done. 600 00:34:11,080 --> 00:34:14,440 Speaker 3: It's it's hard to swallow. I mean it, you know, 601 00:34:14,680 --> 00:34:17,400 Speaker 3: it would help Joe and I if this happens financially, 602 00:34:17,640 --> 00:34:20,640 Speaker 3: But it's awful, absolutely awful. 603 00:34:21,400 --> 00:34:24,839 Speaker 4: I believe you can't defend it. No, it's it's it's 604 00:34:24,920 --> 00:34:28,520 Speaker 4: it's I am horrified. I don't care how much it 605 00:34:28,560 --> 00:34:32,520 Speaker 4: would benefit me. God bless me. I have principles. It's 606 00:34:32,600 --> 00:34:36,160 Speaker 4: really held me back in life. Jack too. I just 607 00:34:36,600 --> 00:34:39,560 Speaker 4: I'm done. I'm done. Yeah, it's uh. 608 00:34:39,600 --> 00:34:42,560 Speaker 3: Well, Like I said last week, Sarah Isger of The Dispatch, 609 00:34:42,600 --> 00:34:44,760 Speaker 3: I heard her on a podcast They're having this discussion 610 00:34:44,760 --> 00:34:47,600 Speaker 3: about party and she said, there are no political parties. 611 00:34:47,680 --> 00:34:50,200 Speaker 4: What are we talking about here? Yeah? I need to 612 00:34:50,280 --> 00:34:52,880 Speaker 4: seek that out because I think she nailed absolutely, one 613 00:34:52,920 --> 00:34:55,719 Speaker 4: hundred percent. There are no political parties. There's just whoever 614 00:34:55,800 --> 00:35:00,960 Speaker 4: emerges as the candidate cycle by psych and then whatever 615 00:35:01,000 --> 00:35:03,520 Speaker 4: they believe the party goes along with. And it's true 616 00:35:03,520 --> 00:35:06,160 Speaker 4: on both sides. So the idea that there are parties 617 00:35:06,200 --> 00:35:08,680 Speaker 4: that stand for something, we need to all move past. That. 618 00:35:09,440 --> 00:35:13,759 Speaker 4: From my hero hl Menken, every election is a sort 619 00:35:13,760 --> 00:35:19,080 Speaker 4: of advanced auction sale of stolen goods. That's always been true. 620 00:35:20,520 --> 00:35:23,240 Speaker 4: There was a time when a certain party had certain 621 00:35:23,280 --> 00:35:25,879 Speaker 4: principles that I admired. Do you have time is past? 622 00:35:26,239 --> 00:35:32,120 Speaker 4: You know what my high school sweetheart, college sweetheart, my 623 00:35:32,160 --> 00:35:36,600 Speaker 4: wife of forty years is when she's not turning tricks. 624 00:35:37,120 --> 00:35:40,759 Speaker 4: She's killing people for the mob. Okay, she's not the 625 00:35:40,840 --> 00:35:43,080 Speaker 4: woman I felt at This is, by the way, fictional 626 00:35:43,120 --> 00:35:46,080 Speaker 4: illustration has nothing to do with my beloved bride Judith. 627 00:35:47,440 --> 00:35:51,719 Speaker 4: She's not the person she was. You can forget it. 628 00:35:51,719 --> 00:35:54,080 Speaker 3: It's over, so move on. 629 00:35:54,360 --> 00:35:57,600 Speaker 4: Get get an AI girlfriend like a normal person and 630 00:35:58,040 --> 00:36:01,759 Speaker 4: a love bot or something Hi girlfriend like a normal person. 631 00:36:02,960 --> 00:36:07,399 Speaker 1: Jack Armstrong and joe Chatty The Armstrong and Daddy joe 632 00:36:08,760 --> 00:36:08,800 Speaker 1: Y