1 00:00:10,720 --> 00:00:15,000 Speaker 1: Broadcasting live from the Abraham Lincoln Radio Studio, the George 2 00:00:15,080 --> 00:00:18,479 Speaker 1: Washington Broadcast Center, Jack Armstrong, Joe. 3 00:00:18,400 --> 00:00:21,360 Speaker 2: Getty, Armstrong and Gatty and He. 4 00:00:24,239 --> 00:00:30,200 Speaker 3: Armstrong and Getty Strong and Happy Thanksgiving. It's the Armstrong 5 00:00:30,240 --> 00:00:32,320 Speaker 3: and Getty replay. I hope you eat as much as 6 00:00:32,360 --> 00:00:34,440 Speaker 3: you can. I hope you're in pain by the end 7 00:00:34,479 --> 00:00:35,519 Speaker 3: of the day. I know I will be. 8 00:00:35,640 --> 00:00:38,879 Speaker 4: Now Here are some delicious Armstrong and Getdy leftovers. 9 00:00:39,840 --> 00:00:42,600 Speaker 5: Get filled up with more of Armstrong and Getty with 10 00:00:42,680 --> 00:00:44,839 Speaker 5: our podcast Armstrong and Getty on demand. 11 00:00:44,960 --> 00:00:48,080 Speaker 4: Your loved one or maybe yourself wants an Armstrong and 12 00:00:48,120 --> 00:00:50,920 Speaker 4: Getty hoodie, T shirt, hat or more. They're at Armstrong 13 00:00:50,960 --> 00:00:52,120 Speaker 4: and Geeddy dot com. 14 00:00:52,600 --> 00:00:54,720 Speaker 5: Here's the funniest thing I thought that happened on the 15 00:00:54,760 --> 00:00:57,960 Speaker 5: Saturday Night Live Go Open with the guy who does Trump. 16 00:00:58,240 --> 00:00:59,320 Speaker 2: He was talking about. 17 00:01:00,040 --> 00:01:03,640 Speaker 5: You're in Abi Dabby Ami, Dabbi Abi dabbi do like 18 00:01:03,680 --> 00:01:05,440 Speaker 5: the late great friends Flintstone. 19 00:01:08,319 --> 00:01:12,440 Speaker 2: I thought that was so funny, eh boy, the late 20 00:01:12,480 --> 00:01:13,600 Speaker 2: great Fred Flintstone. 21 00:01:13,760 --> 00:01:16,120 Speaker 5: So I Southern News yesterday that they were going to 22 00:01:16,200 --> 00:01:19,920 Speaker 5: have a voting session on the Big Beautiful Bill at 23 00:01:19,959 --> 00:01:23,319 Speaker 5: ten o'clock Sunday night, and because it's the weekend, and 24 00:01:23,360 --> 00:01:24,600 Speaker 5: I'm a normal human being. 25 00:01:24,760 --> 00:01:25,520 Speaker 2: I didn't like. 26 00:01:25,680 --> 00:01:28,040 Speaker 5: Take a second to look into that, because I thought, 27 00:01:28,200 --> 00:01:31,319 Speaker 5: what the hell kind of a procedural deal is a 28 00:01:31,360 --> 00:01:34,440 Speaker 5: Sunday night at ten o'clock thingy? But I just did 29 00:01:34,560 --> 00:01:38,319 Speaker 5: see that the four holdouts went along with whatever and 30 00:01:38,400 --> 00:01:40,000 Speaker 5: it passed, So there you go. 31 00:01:40,880 --> 00:01:44,920 Speaker 4: Yeah, the four holdouts went along with whatever is a 32 00:01:44,959 --> 00:01:47,160 Speaker 4: pretty good description of it. I will be a bit 33 00:01:47,240 --> 00:01:51,040 Speaker 4: more detailed. And this is the reason I'm disgusted and embittered. 34 00:01:51,440 --> 00:01:54,280 Speaker 4: This is the most sausagey of sausage making. If you're 35 00:01:54,360 --> 00:01:59,920 Speaker 4: familiar with the old reference to politics, here's your headline 36 00:02:00,000 --> 00:02:01,440 Speaker 4: from the WAPO. I'm going to read you just a 37 00:02:01,480 --> 00:02:04,440 Speaker 4: little bit because it's kind of revealing of at least 38 00:02:05,320 --> 00:02:06,320 Speaker 4: a couple of things. 39 00:02:07,480 --> 00:02:09,079 Speaker 2: Trump's tax and immigration. 40 00:02:08,720 --> 00:02:12,000 Speaker 4: Bill clears Hurtle after late night vote to the House 41 00:02:12,040 --> 00:02:15,000 Speaker 4: Budget Committee passed a massive tax and immigration package central 42 00:02:15,040 --> 00:02:20,600 Speaker 4: President Trump's agenda late Sunday, overcoming opposition from hardline conservatives, 43 00:02:20,600 --> 00:02:25,839 Speaker 4: overspending four fiscal conservatives, all deficit hawks aligned with the 44 00:02:25,880 --> 00:02:30,359 Speaker 4: old truck conservative House Freedom Caucus, changed their vote to present, 45 00:02:30,840 --> 00:02:35,880 Speaker 4: allowing the legislative monstrosity. I injected that package to be 46 00:02:36,360 --> 00:02:40,399 Speaker 4: recommended favorably to the House by a vote of seventeen 47 00:02:40,520 --> 00:02:43,840 Speaker 4: to sixteen, but their hesitance to vote for the One 48 00:02:43,880 --> 00:02:46,560 Speaker 4: Big Beautiful Bill Act out of committee is a reminder 49 00:02:46,560 --> 00:02:51,480 Speaker 4: that the far right flank of the Republican Conference remains skeptical. 50 00:02:51,680 --> 00:02:55,120 Speaker 2: I think I see where you're going here. Yeah. 51 00:02:55,160 --> 00:02:59,000 Speaker 4: Now, it could just be your typical WAHPO journalistic bias, 52 00:02:59,000 --> 00:03:02,080 Speaker 4: although the WAPO is improved somewhat lately a little bit. 53 00:03:02,120 --> 00:03:05,639 Speaker 2: Anyway, I think it's. 54 00:03:05,200 --> 00:03:10,280 Speaker 4: Unfortunately closer to true that I'm comfortable with that there 55 00:03:10,280 --> 00:03:14,639 Speaker 4: are only a handful of like lunatic hard liners who 56 00:03:14,639 --> 00:03:19,880 Speaker 4: are against the following headlines. This is from the Richard 57 00:03:20,200 --> 00:03:22,800 Speaker 4: Ruben writing in The Wall Street Journal. The stark math 58 00:03:22,840 --> 00:03:25,600 Speaker 4: on the GOP tax planet doesn't cut the deficit. 59 00:03:26,120 --> 00:03:27,160 Speaker 2: It grows the deficit. 60 00:03:27,520 --> 00:03:29,920 Speaker 4: The Republican Party, with both Houses of Congress and the 61 00:03:29,919 --> 00:03:33,519 Speaker 4: White House, are going to grow the deficit. It's undeniable. 62 00:03:34,000 --> 00:03:37,280 Speaker 4: Next headline, National Review, Republicans should stay the course on 63 00:03:37,400 --> 00:03:40,800 Speaker 4: reducing medicaid spending. They're not going to. They're running in 64 00:03:40,840 --> 00:03:46,160 Speaker 4: the other direction, partly because the incredibly smart calculating what 65 00:03:46,480 --> 00:03:50,360 Speaker 4: is he up to? Josh Cawley of Missouri is all 66 00:03:50,400 --> 00:03:52,840 Speaker 4: of a sudden, this is the guy now. 67 00:03:52,680 --> 00:03:55,000 Speaker 2: Who led the charge to repeal Obamacare. 68 00:03:55,440 --> 00:04:01,840 Speaker 4: He's now out schumering Schumer, saying that the party's Wall 69 00:04:01,920 --> 00:04:06,480 Speaker 4: Street wing, a noisy contingent of corporist Republicans want to 70 00:04:06,520 --> 00:04:08,800 Speaker 4: slash health insurance for the working poor. 71 00:04:09,200 --> 00:04:10,280 Speaker 2: Yeah, we mentioned that. 72 00:04:10,320 --> 00:04:12,160 Speaker 5: On Friday, he wrote that op ed piece that the 73 00:04:12,200 --> 00:04:15,200 Speaker 5: Republicans need to back off cutting Medicare. 74 00:04:15,520 --> 00:04:19,920 Speaker 4: Any Well, it's a reform of Medicaid. Any reforms are 75 00:04:19,920 --> 00:04:24,000 Speaker 4: a hidden tax on working poor people. And this is 76 00:04:24,080 --> 00:04:28,560 Speaker 4: and he's referring to a thirty five dollars copay for 77 00:04:28,760 --> 00:04:33,919 Speaker 4: able bodied adults covered by Obamacare Medicaid for a visit 78 00:04:33,960 --> 00:04:37,640 Speaker 4: to the doctor. Thirty five dollars copay is some sort 79 00:04:37,680 --> 00:04:39,880 Speaker 4: of hidden tax on working poor people. 80 00:04:39,920 --> 00:04:42,560 Speaker 5: And that's just the calculation that Republicans are now the 81 00:04:42,600 --> 00:04:44,440 Speaker 5: party of the working class, and they feel like they 82 00:04:44,440 --> 00:04:46,400 Speaker 5: got enough a working class that are on Medicaid that 83 00:04:46,400 --> 00:04:49,159 Speaker 5: they Josh Holley at least doesn't want to mess with it. 84 00:04:49,800 --> 00:04:54,200 Speaker 4: And a yeah, now the party of pandering to and 85 00:04:54,240 --> 00:04:56,159 Speaker 4: writing checks to people to win their votes. 86 00:04:56,279 --> 00:04:59,400 Speaker 5: Yeah, I was going to say that it's interesting they 87 00:04:59,400 --> 00:05:03,080 Speaker 5: call these people ultra conservative of right wing, when not 88 00:05:03,279 --> 00:05:05,440 Speaker 5: very many years ago you would have been the center 89 00:05:05,520 --> 00:05:07,800 Speaker 5: of the Republican Party. I mean that would have been 90 00:05:07,880 --> 00:05:11,039 Speaker 5: I mean as like what the Republican Party was. 91 00:05:11,080 --> 00:05:11,560 Speaker 2: It was. 92 00:05:11,400 --> 00:05:13,000 Speaker 5: It was, it was a term you would have used 93 00:05:13,040 --> 00:05:17,279 Speaker 5: to define the party. Fact, it was so intrinsic to 94 00:05:17,320 --> 00:05:21,240 Speaker 5: the Republican Party. You'd feel silly even repeating what you 95 00:05:21,360 --> 00:05:24,400 Speaker 5: just repeated, right that there's no need fisically conservative. But 96 00:05:24,440 --> 00:05:29,320 Speaker 5: I suppose in reality, given where most of the party is, 97 00:05:30,200 --> 00:05:33,240 Speaker 5: they are ultra right wing or ultra conservative because the 98 00:05:33,240 --> 00:05:37,279 Speaker 5: bulk of the party doesn't care apparently apparently not voters. 99 00:05:37,360 --> 00:05:42,120 Speaker 4: So spending your children, grandchildren into tax and spend oblivion. 100 00:05:42,240 --> 00:05:44,280 Speaker 5: Well all right, Well, this story got repeated a lot 101 00:05:44,279 --> 00:05:46,320 Speaker 5: over the weekend that we got downgraded on one of 102 00:05:46,320 --> 00:05:49,960 Speaker 5: our credit scores by one of the major organizations that does. 103 00:05:49,880 --> 00:05:50,919 Speaker 2: That sort of thing. 104 00:05:51,440 --> 00:05:56,080 Speaker 5: And uh, over the weekend it kind of got put 105 00:05:56,120 --> 00:05:58,560 Speaker 5: out there that it was like a Trump thing because 106 00:05:58,560 --> 00:06:02,760 Speaker 5: of tariffs or whatever. It was basically around the fact 107 00:06:02,800 --> 00:06:04,960 Speaker 5: that our debt is just so high. It's just like 108 00:06:05,000 --> 00:06:06,640 Speaker 5: this would happen to you if you go to the 109 00:06:06,680 --> 00:06:09,600 Speaker 5: bank and they take a look at your well you've 110 00:06:09,600 --> 00:06:12,080 Speaker 5: got with your car payments. Now you bought like eight 111 00:06:12,120 --> 00:06:15,719 Speaker 5: cars and two houses, and you're just overmaxed. 112 00:06:15,839 --> 00:06:18,960 Speaker 4: So you have eighty thousand dollars in credit card bills 113 00:06:18,960 --> 00:06:21,960 Speaker 4: and you only make ninety a year, right, right, So 114 00:06:22,000 --> 00:06:23,960 Speaker 4: they just dong Grady because you just spend more than 115 00:06:23,960 --> 00:06:24,360 Speaker 4: you make. 116 00:06:24,720 --> 00:06:27,479 Speaker 2: That's what happened. That didn't happen just in the last 117 00:06:27,480 --> 00:06:29,960 Speaker 2: one hundred days under Trump. We've been building this for 118 00:06:30,000 --> 00:06:30,679 Speaker 2: a long time. 119 00:06:31,360 --> 00:06:35,000 Speaker 4: And the final reason I am completely embittered about the 120 00:06:35,040 --> 00:06:39,000 Speaker 4: Republican Party in politics and America and democracy and life 121 00:06:39,000 --> 00:06:44,440 Speaker 4: on Earth is the fact that, and it's a two 122 00:06:44,560 --> 00:06:48,880 Speaker 4: part horror show, Part number one is that there are 123 00:06:49,080 --> 00:06:53,200 Speaker 4: a bunch of swing district Republicans from big blue states 124 00:06:53,200 --> 00:06:56,920 Speaker 4: California and New York most notably, who are not only 125 00:06:56,960 --> 00:06:59,919 Speaker 4: trying to defend the idea of the salt deduction this 126 00:07:00,040 --> 00:07:02,800 Speaker 4: state and local tax deduction, they want to raise it 127 00:07:02,839 --> 00:07:06,440 Speaker 4: from ten thousand dollars to at least thirty thousand dollars 128 00:07:06,480 --> 00:07:10,840 Speaker 4: and maybe fifty thousand dollars. Meaning if you live in 129 00:07:10,880 --> 00:07:15,120 Speaker 4: a tax and spend lunatic state like say California, all 130 00:07:15,160 --> 00:07:17,840 Speaker 4: of those incredibly high taxes you're paying, you can deduct 131 00:07:17,880 --> 00:07:21,280 Speaker 4: from your federal tax return. So the other states will 132 00:07:21,840 --> 00:07:26,080 Speaker 4: subsidize the tax and spend lunacy of New York and California. 133 00:07:26,160 --> 00:07:29,320 Speaker 5: So my brothers in Kansas pay some of my taxes 134 00:07:29,360 --> 00:07:30,720 Speaker 5: because I live in California. 135 00:07:30,760 --> 00:07:31,400 Speaker 2: That makes sense. 136 00:07:31,800 --> 00:07:35,640 Speaker 4: Yeah, you get a giant subsidy from the other states. 137 00:07:35,640 --> 00:07:39,120 Speaker 4: You pay a lower federal tax rate, significantly lower depending 138 00:07:39,160 --> 00:07:42,680 Speaker 4: on you know, how much money you make than folks 139 00:07:42,800 --> 00:07:50,320 Speaker 4: in fiscally responsible states, and is indefensible morally. It's indefensible 140 00:07:50,440 --> 00:07:54,840 Speaker 4: as for Republican reason, not the party, but the idea 141 00:07:54,920 --> 00:07:57,920 Speaker 4: of we have a federal system than states, and the 142 00:07:57,960 --> 00:08:00,600 Speaker 4: states can do what they want, and they should. 143 00:08:00,320 --> 00:08:00,880 Speaker 2: Do what they want. 144 00:08:00,920 --> 00:08:05,000 Speaker 4: If you're fine, if Massachusetts wants to have a sixty 145 00:08:05,120 --> 00:08:08,200 Speaker 4: five percent income tax, go ahead. 146 00:08:08,320 --> 00:08:10,040 Speaker 2: I'm not living there, but go ahead. 147 00:08:10,320 --> 00:08:14,640 Speaker 4: But then to transfer that profligacy to the other states 148 00:08:14,800 --> 00:08:19,920 Speaker 4: is it's a horror. And as a conservative slash Republican, 149 00:08:19,960 --> 00:08:23,840 Speaker 4: he says, trying not to vomit because of my embitteredness, 150 00:08:25,200 --> 00:08:28,760 Speaker 4: the idea that that is a plank of the Republican Party. 151 00:08:29,080 --> 00:08:29,680 Speaker 2: I'm done. 152 00:08:30,360 --> 00:08:34,000 Speaker 5: It's it's hard to swallow. I mean, you know, it 153 00:08:34,000 --> 00:08:37,000 Speaker 5: would help Joe and I if this happens financially. But 154 00:08:37,679 --> 00:08:39,920 Speaker 5: it's awful, absolutely awful. 155 00:08:40,480 --> 00:08:42,480 Speaker 2: You I mean, you can't defend it. 156 00:08:43,200 --> 00:08:46,520 Speaker 4: No, it's it's it's I am horrified. I don't care 157 00:08:46,600 --> 00:08:50,600 Speaker 4: how much it would benefit me. God bless me. I 158 00:08:50,640 --> 00:08:54,160 Speaker 4: have principles. It's really held me back in life. Jack too. 159 00:08:55,160 --> 00:08:56,920 Speaker 4: I just I'm done. I'm done. 160 00:08:57,480 --> 00:08:59,200 Speaker 2: Yeah, it's well. 161 00:08:59,240 --> 00:09:01,840 Speaker 5: Like I said last week, Sarah Isger of The Dispatch, 162 00:09:01,880 --> 00:09:04,040 Speaker 5: I heard her on a podcast They're having this discussion 163 00:09:04,040 --> 00:09:06,880 Speaker 5: about party, and she said, there are no political parties. 164 00:09:06,960 --> 00:09:09,040 Speaker 2: What are we talking about here? Yeah? 165 00:09:09,080 --> 00:09:10,800 Speaker 4: I need to seek that out because I think she 166 00:09:11,000 --> 00:09:13,839 Speaker 4: nailed absolutely, one hundred percent. There are no political parties. 167 00:09:13,880 --> 00:09:19,439 Speaker 4: There's just whoever emerges as the candidate, cycle by cycle, 168 00:09:19,559 --> 00:09:22,080 Speaker 4: and then whatever they believe, the party goes along with. 169 00:09:22,120 --> 00:09:24,600 Speaker 4: And it's true on both sides. So the idea that 170 00:09:24,640 --> 00:09:26,880 Speaker 4: there are parties that stand for something, we. 171 00:09:26,800 --> 00:09:27,960 Speaker 2: Need to all move past that. 172 00:09:28,720 --> 00:09:33,040 Speaker 4: From my hero hl Menken, every election is a sort 173 00:09:33,040 --> 00:09:38,400 Speaker 4: of advanced auction sale of stolen goods. That's always been true. 174 00:09:39,800 --> 00:09:42,520 Speaker 4: There was a time when a certain party had certain 175 00:09:42,559 --> 00:09:44,000 Speaker 4: principles that I admired. 176 00:09:44,160 --> 00:09:46,199 Speaker 2: Do you have time has passed. You know what. 177 00:09:47,600 --> 00:09:52,240 Speaker 4: My high school sweetheart, college sweetheart, my wife of forty 178 00:09:52,320 --> 00:09:57,480 Speaker 4: years is. When she's not turning tricks, she's killing people 179 00:09:57,520 --> 00:10:00,960 Speaker 4: for the mob. Okay, she's not a woman, I felt. 180 00:10:00,960 --> 00:10:03,640 Speaker 4: This is by the way, fictional illustration has nothing to 181 00:10:03,640 --> 00:10:05,360 Speaker 4: do with my beloved bride Judith. 182 00:10:06,720 --> 00:10:11,000 Speaker 2: She's not the person she was. It's you can forget it. 183 00:10:11,000 --> 00:10:15,040 Speaker 2: It's over, so move on. Get a get an Ai. 184 00:10:14,920 --> 00:10:18,360 Speaker 4: Girlfriend like a normal person and a love bod or 185 00:10:18,360 --> 00:10:21,080 Speaker 4: something I girlfriend like a normal prison. 186 00:10:21,400 --> 00:10:25,319 Speaker 2: The Armstrong and Getty Show. Yeah more Jack Morgio podcasts 187 00:10:25,400 --> 00:10:26,720 Speaker 2: and our hot links. 188 00:10:29,480 --> 00:10:32,199 Speaker 1: Jack Armstrong and Joe Getty. 189 00:10:32,280 --> 00:10:36,760 Speaker 2: The Armstrong and Getty Show. Yet another one of these? 190 00:10:36,800 --> 00:10:38,080 Speaker 2: Do they run this quarterly? 191 00:10:38,640 --> 00:10:42,200 Speaker 4: Is it some sort of requirement warning issue to anyone 192 00:10:42,400 --> 00:10:47,960 Speaker 4: using this smiley face emoji to older people not gen Z. 193 00:10:48,200 --> 00:10:52,680 Speaker 4: A smile face means you're conveying that you're happy. Yeah, 194 00:10:52,720 --> 00:10:56,720 Speaker 4: but gen Z takes this grinning face to convey sarcasm 195 00:10:56,840 --> 00:10:57,559 Speaker 4: or irony. 196 00:10:58,520 --> 00:11:01,760 Speaker 2: And then it has the inevitable twenty three year old employee. 197 00:11:01,320 --> 00:11:04,160 Speaker 4: Who says, at first I thought my coarchers were being 198 00:11:04,360 --> 00:11:07,240 Speaker 4: called and sarcastic to me, and then I realized when 199 00:11:07,280 --> 00:11:09,560 Speaker 4: they send a thumbs up, they really mean thumbs up 200 00:11:09,760 --> 00:11:13,360 Speaker 4: because he is a sarcastically and the tone of the 201 00:11:13,440 --> 00:11:16,640 Speaker 4: article is always therefore, you're you. Older people really ought 202 00:11:16,640 --> 00:11:18,040 Speaker 4: to be careful in a. 203 00:11:18,160 --> 00:11:20,120 Speaker 5: Finger and they should switch to the way we do 204 00:11:20,160 --> 00:11:21,360 Speaker 5: it as opposed the other way around. 205 00:11:21,920 --> 00:11:24,880 Speaker 4: Yes, I would say to Hovey's at BESHI, twenty one 206 00:11:24,960 --> 00:11:28,440 Speaker 4: year old intern, excuse me, I run this place. 207 00:11:29,320 --> 00:11:32,240 Speaker 2: I own this place. People like me run the world. 208 00:11:32,800 --> 00:11:34,720 Speaker 2: So you figured out. 209 00:11:34,960 --> 00:11:39,960 Speaker 5: My son sends me the emoji with the tears streaming 210 00:11:40,040 --> 00:11:44,319 Speaker 5: down the face. Yes, at what seemed to me inappropriate times, 211 00:11:44,679 --> 00:11:46,959 Speaker 5: it seems to mean something different to freshmen in high 212 00:11:47,000 --> 00:11:49,360 Speaker 5: school than all the other adults who ever send me 213 00:11:49,480 --> 00:11:52,040 Speaker 5: the emoji with tears streaming down the face? 214 00:11:52,120 --> 00:11:55,360 Speaker 2: Yes, k, Katie, you're not old and bitter. Well, don't 215 00:11:55,360 --> 00:11:55,959 Speaker 2: go that better. 216 00:11:56,000 --> 00:12:00,640 Speaker 6: But several of my younger friends send me that, which 217 00:12:00,920 --> 00:12:03,839 Speaker 6: usually would mean like you're crying legitimately, like. 218 00:12:03,800 --> 00:12:06,000 Speaker 5: You were really touched by something, or you know, my 219 00:12:06,080 --> 00:12:08,640 Speaker 5: dog just died, or I heard about your mom or whatever. 220 00:12:08,960 --> 00:12:12,600 Speaker 6: Yeah, it means something's hilarious now, like you're crying, you're 221 00:12:12,679 --> 00:12:13,199 Speaker 6: laughing song. 222 00:12:13,440 --> 00:12:15,600 Speaker 5: Okay, that's what I kind of picked up on. I thought, 223 00:12:15,679 --> 00:12:18,600 Speaker 5: this is highly inappropriate. Does this mean you're laughing? 224 00:12:18,880 --> 00:12:22,000 Speaker 2: Well, yeah, I cracked. You have a laughing till you're crying, 225 00:12:22,320 --> 00:12:23,080 Speaker 2: right they do. 226 00:12:23,440 --> 00:12:23,680 Speaker 4: Yeah. 227 00:12:23,720 --> 00:12:25,480 Speaker 6: I cracked a joke to one of my girlfriends and 228 00:12:25,520 --> 00:12:27,319 Speaker 6: I sent her that and she sent me one of 229 00:12:27,360 --> 00:12:29,400 Speaker 6: those back, and I was like, did something just happen? 230 00:12:29,440 --> 00:12:31,599 Speaker 2: What's wrong? She's like, that's exactly that what I have. 231 00:12:31,679 --> 00:12:33,679 Speaker 2: And I thought, oh, geez, I hurt somebody's feelings. 232 00:12:33,920 --> 00:12:36,440 Speaker 6: Yeah, exact same thing came over me. I was like, 233 00:12:36,559 --> 00:12:39,080 Speaker 6: what did I do? No, that's just their laughing face. 234 00:12:39,120 --> 00:12:41,560 Speaker 6: Now are we talking about the tears streaming down? 235 00:12:41,679 --> 00:12:41,880 Speaker 7: Yeah? 236 00:12:42,120 --> 00:12:44,040 Speaker 4: See, we used that in my family a lot. Like 237 00:12:44,200 --> 00:12:48,760 Speaker 4: I didn't get the wordle So you're really upset. 238 00:12:48,920 --> 00:12:51,640 Speaker 5: Yeah, but you're you're you're you're you're being sarcastic about 239 00:12:51,640 --> 00:12:55,840 Speaker 5: how upset you are. Yes, exaggerating, Yeah, but it's kind 240 00:12:55,840 --> 00:12:57,920 Speaker 5: of the opposite meaning for my son. 241 00:12:57,960 --> 00:12:59,959 Speaker 2: Okay, now I get it. I'm laughing so hard I'm 242 00:13:00,320 --> 00:13:01,800 Speaker 2: even though they've got one of those already. 243 00:13:02,400 --> 00:13:04,640 Speaker 4: My favorite texting story of all time, and it will 244 00:13:04,679 --> 00:13:07,040 Speaker 4: be for the rest of my life, was the woman 245 00:13:07,080 --> 00:13:08,720 Speaker 4: who said I'm sorry I didn't get back to you 246 00:13:08,840 --> 00:13:12,280 Speaker 4: my mom just passed away, and her friend replied lol, 247 00:13:13,040 --> 00:13:14,680 Speaker 4: thinking it meant lots of love. 248 00:13:16,520 --> 00:13:18,119 Speaker 2: To me. They no longer speak. 249 00:13:18,520 --> 00:13:22,280 Speaker 4: And I'm lolling now is the ironic concluded? 250 00:13:22,360 --> 00:13:23,520 Speaker 2: That's sorry anyway? 251 00:13:24,040 --> 00:13:28,960 Speaker 5: So to get like this, I feel like lol is 252 00:13:31,280 --> 00:13:37,560 Speaker 5: like charity laugh or you know what is that term 253 00:13:37,559 --> 00:13:40,280 Speaker 5: where you you laugh? You know, somebody says simple sympathy 254 00:13:40,320 --> 00:13:42,280 Speaker 5: laugh at this point and I and then I don't 255 00:13:42,320 --> 00:13:45,880 Speaker 5: know how to respond with a that actually is freaking funny. 256 00:13:46,800 --> 00:13:51,040 Speaker 2: Yeah, yeah, well I don't know. 257 00:13:51,160 --> 00:13:53,120 Speaker 5: I usually write out because I don't use emojis, because 258 00:13:53,120 --> 00:13:56,439 Speaker 5: I'm a grown up. I usually write out. I actually 259 00:13:56,559 --> 00:13:58,760 Speaker 5: laughed out loud at that. That was very funny, like 260 00:13:59,160 --> 00:14:01,920 Speaker 5: that much it's something really long and tedious. 261 00:14:01,960 --> 00:14:04,200 Speaker 6: You're such a boomer, or you just send the word 262 00:14:04,280 --> 00:14:06,800 Speaker 6: funny with zero punctuations, so you can't tell if you're 263 00:14:06,840 --> 00:14:07,600 Speaker 6: being serious or not. 264 00:14:07,920 --> 00:14:08,560 Speaker 2: I have done that. 265 00:14:09,120 --> 00:14:13,559 Speaker 4: I will frequently respond ha because I was laughing lots 266 00:14:13,559 --> 00:14:21,800 Speaker 4: of oz. Yeah. So, but there's more linguists studying emojis. Emoji, 267 00:14:21,840 --> 00:14:23,960 Speaker 4: I think I'm supposed to say I'm not Japanese, all right. 268 00:14:24,200 --> 00:14:27,160 Speaker 4: Have also pointed out that the symbols new meetings can 269 00:14:27,200 --> 00:14:29,960 Speaker 4: often emerge from slang that older users might not be 270 00:14:30,040 --> 00:14:33,240 Speaker 4: aware of. For example, older social media users might see 271 00:14:33,280 --> 00:14:37,280 Speaker 4: the skull emoji as a literal symbol of death or 272 00:14:37,280 --> 00:14:40,320 Speaker 4: a sign that someone is figuratively dead, isn't dead, tired 273 00:14:40,400 --> 00:14:42,560 Speaker 4: or dead to me, whatever, But for the younger users, 274 00:14:42,600 --> 00:14:45,360 Speaker 4: the skull is used to say I'm dead, which means 275 00:14:45,400 --> 00:14:47,640 Speaker 4: that they found something hilarious and have died laughing. 276 00:14:48,760 --> 00:14:53,120 Speaker 5: Oh okay, the skull is that was really funny. I'm 277 00:14:53,120 --> 00:14:54,880 Speaker 5: gonna hit somebody I can. I can think of people 278 00:14:54,920 --> 00:14:57,320 Speaker 5: i'd hit with that today would be very confused. 279 00:14:57,440 --> 00:15:01,720 Speaker 4: While the sparkle emoji is frequently someone being sarcastic about 280 00:15:01,720 --> 00:15:05,280 Speaker 4: how something, how good something is, and too much sarcasm. 281 00:15:05,440 --> 00:15:07,920 Speaker 4: But here's the part I found really interesting. 282 00:15:07,560 --> 00:15:11,000 Speaker 5: So I send to like. If somebody says, hey, I 283 00:15:11,040 --> 00:15:14,840 Speaker 5: got that promotion at work, I respond with an eggplant 284 00:15:14,880 --> 00:15:16,000 Speaker 5: and then sprays of water. 285 00:15:16,120 --> 00:15:20,600 Speaker 2: Is that the proper thing? Good Lord? Yes? Yes, do that? 286 00:15:20,880 --> 00:15:26,960 Speaker 4: Yeah, that's perfect, Oh my god. Or if you give 287 00:15:27,200 --> 00:15:29,800 Speaker 4: a thumbs up and a sparkle, they'll think you're mocking them, 288 00:15:29,800 --> 00:15:32,800 Speaker 4: which is again, we run the world. We old people 289 00:15:32,840 --> 00:15:35,960 Speaker 4: run the world. You adapt us. But is your youngster 290 00:15:36,080 --> 00:15:41,480 Speaker 4: texting about cannabis, for instance, sometimes known as pot or marijuana. 291 00:15:42,760 --> 00:15:48,240 Speaker 4: The shamrock, the leaf, the maple leaf, the lemon, the grape, 292 00:15:48,480 --> 00:15:53,160 Speaker 4: the watermelon, the strawberry, the cherry, the pineapple, the dog face, 293 00:15:53,280 --> 00:15:56,320 Speaker 4: the candy, the cake, the ice cream cone, and the 294 00:15:56,360 --> 00:15:59,080 Speaker 4: cookie can all be references to cannabis. 295 00:16:00,040 --> 00:16:01,200 Speaker 2: Because I understand it. 296 00:16:01,240 --> 00:16:04,720 Speaker 5: The egg plant is the traditional vegetable of success, and 297 00:16:04,840 --> 00:16:06,360 Speaker 5: so if somebody has some good news. 298 00:16:07,760 --> 00:16:11,120 Speaker 2: Keep believe in that, jack and use it frequently. Jack. 299 00:16:11,200 --> 00:16:15,840 Speaker 4: These emoji can be references to cocaine, a rocket ship, 300 00:16:15,880 --> 00:16:20,360 Speaker 4: a fish, a gas pump, a snowman or a snowflake. 301 00:16:22,440 --> 00:16:24,080 Speaker 2: They're all sorts of drugs. 302 00:16:24,280 --> 00:16:31,920 Speaker 4: Uh, sexting the peach which looks like God forgive me 303 00:16:32,600 --> 00:16:38,760 Speaker 4: a woman's hind end, or the egg plant, the water 304 00:16:38,920 --> 00:16:40,960 Speaker 4: you mentioned, or cherries. 305 00:16:42,520 --> 00:16:43,160 Speaker 2: Let's see. 306 00:16:43,600 --> 00:16:45,840 Speaker 6: I was embarrassingly baffled the other day when I got 307 00:16:45,840 --> 00:16:47,800 Speaker 6: a text message from a friend that said kiss my 308 00:16:48,040 --> 00:16:49,680 Speaker 6: and then there was a peach emoji, and I'm going, 309 00:16:51,080 --> 00:16:51,800 Speaker 6: this is my peach? 310 00:16:52,600 --> 00:16:55,240 Speaker 2: What do you mean? I saw somebody with a cherries 311 00:16:55,320 --> 00:16:58,800 Speaker 2: tattoo on them? What does that mean? You, Katie? Is 312 00:16:58,800 --> 00:17:00,400 Speaker 2: that a girl? What's that mean? Women. 313 00:17:01,640 --> 00:17:06,600 Speaker 6: Cherries were trendy late nineties early two thousands, But I 314 00:17:06,640 --> 00:17:07,320 Speaker 6: don't know if. 315 00:17:07,160 --> 00:17:12,600 Speaker 2: That meaning what was the message A delicious fruit? It 316 00:17:12,680 --> 00:17:13,840 Speaker 2: was just a cute pattern. 317 00:17:14,000 --> 00:17:16,600 Speaker 5: Okay, So okay, it didn't mean anything, all right, that's fine, 318 00:17:17,320 --> 00:17:17,880 Speaker 5: doesn't need. 319 00:17:17,800 --> 00:17:20,360 Speaker 2: To We're looking it up. 320 00:17:20,640 --> 00:17:20,840 Speaker 4: Oh. 321 00:17:21,119 --> 00:17:25,639 Speaker 6: Often associated with sensuality, feminine power, innocence, and youth. 322 00:17:26,119 --> 00:17:29,160 Speaker 2: Okay, According to an Instagram post, that's a stupid tattoo. 323 00:17:29,160 --> 00:17:31,120 Speaker 2: Don't get that and if you haven't, get it removed. 324 00:17:32,720 --> 00:17:42,800 Speaker 2: Arm Strong and the Armstrong and Getty shar So. 325 00:17:43,160 --> 00:17:46,159 Speaker 4: Speaking of technology a different sort than an AI story, 326 00:17:46,320 --> 00:17:50,199 Speaker 4: I am completely convinced that mankind has invented its doom. 327 00:17:50,960 --> 00:17:53,399 Speaker 4: I'm just there's nothing I can do about it, so 328 00:17:53,440 --> 00:17:54,879 Speaker 4: I try not to worry about it. I hope my 329 00:17:54,920 --> 00:17:57,520 Speaker 4: kids are smart and savvy enough to, you know, to 330 00:17:57,560 --> 00:18:00,640 Speaker 4: have happy lives in spite of the coming. 331 00:18:01,840 --> 00:18:03,320 Speaker 2: AI apocalypse. 332 00:18:04,080 --> 00:18:07,879 Speaker 5: If nothing else, the biggest change in the shortest amount 333 00:18:07,880 --> 00:18:11,679 Speaker 5: of time that's probably ever happened, which would be whip sawing, 334 00:18:11,760 --> 00:18:13,560 Speaker 5: even if it turns out okay. 335 00:18:13,960 --> 00:18:15,600 Speaker 2: Yes, yeah. 336 00:18:16,040 --> 00:18:19,200 Speaker 4: Alicia Finley, who writes for the Journal opinion page, who 337 00:18:19,240 --> 00:18:21,720 Speaker 4: I think is just terrific one of my favorite writers. 338 00:18:23,080 --> 00:18:26,200 Speaker 2: Has a piece today. I think it is recently. 339 00:18:27,400 --> 00:18:31,120 Speaker 4: Analyzing what people are saying so far, including the CEO 340 00:18:31,160 --> 00:18:34,480 Speaker 4: of Amazon about AI with that employee memo that he 341 00:18:34,560 --> 00:18:38,440 Speaker 4: sent out, the key line of which was, we will 342 00:18:38,480 --> 00:18:40,399 Speaker 4: need fewer people doing some of the jobs that are 343 00:18:40,400 --> 00:18:42,679 Speaker 4: being done today and more people doing other types of jobs, 344 00:18:42,880 --> 00:18:45,240 Speaker 4: and that the people who will keep their jobs are 345 00:18:45,320 --> 00:18:48,960 Speaker 4: people who learn how to use AI effectively. And he 346 00:18:49,080 --> 00:18:51,640 Speaker 4: explained that AI advances me and employees will do less 347 00:18:51,720 --> 00:18:58,280 Speaker 4: wrote work and more thinking strategically, which sounds really super great. 348 00:18:58,400 --> 00:19:01,239 Speaker 4: And all this will require high level of cognition than 349 00:19:01,280 --> 00:19:04,240 Speaker 4: does the rote work many white color employees now do. 350 00:19:05,480 --> 00:19:08,760 Speaker 4: But as AI is getting smarter, I'll start quoting Alicia. Now, 351 00:19:09,520 --> 00:19:13,720 Speaker 4: Younger college grads may be getting dumber. Like early versions 352 00:19:13,760 --> 00:19:17,000 Speaker 4: of chat GBT. They can regurgitate information and ideas, but 353 00:19:17,280 --> 00:19:20,080 Speaker 4: struggle to come up with novel insights or analyze issues 354 00:19:20,080 --> 00:19:23,960 Speaker 4: from different directions. And then she goes in an interesting direction, 355 00:19:24,720 --> 00:19:30,640 Speaker 4: and this is the fruit of the tree of knowledge stuff. 356 00:19:31,920 --> 00:19:36,440 Speaker 4: We don't know what we're doing to ourselves, she mentions. 357 00:19:36,480 --> 00:19:40,639 Speaker 4: The brain continues to develop and mature into one's mid twenties. 358 00:19:41,160 --> 00:19:43,719 Speaker 4: Some of us longer than that, but like a muscle, 359 00:19:43,760 --> 00:19:47,280 Speaker 4: it needs to be exercise, stimulated, and challenged to grow stronger. 360 00:19:47,600 --> 00:19:52,000 Speaker 4: Technology and especially AI, can stunt this development by doing 361 00:19:52,000 --> 00:19:55,080 Speaker 4: the mental work that builds the brain's version of a 362 00:19:55,119 --> 00:19:59,040 Speaker 4: computer cloud, a phenomenon called cognitive offloading. 363 00:19:59,560 --> 00:20:03,000 Speaker 2: Cool. Yeah, yeah, cool, But. 364 00:20:03,720 --> 00:20:06,359 Speaker 4: Growing research shows and I remember we talked about this 365 00:20:06,400 --> 00:20:10,159 Speaker 4: a while ago. We had a debate about cursive cursive writing, 366 00:20:10,440 --> 00:20:14,320 Speaker 4: which seems silly and unnecessary in handwriting in general. But 367 00:20:14,440 --> 00:20:17,080 Speaker 4: then these studies have come out that show that handwriting 368 00:20:17,440 --> 00:20:20,240 Speaker 4: engages parts of your brain that play a crucial role 369 00:20:20,280 --> 00:20:23,560 Speaker 4: in learning and help children with word and letter recognition. 370 00:20:23,680 --> 00:20:27,439 Speaker 4: But more than that, taking notes by hand also promotes 371 00:20:27,520 --> 00:20:30,960 Speaker 4: memory development by forcing you to synthesize and prioritize information. 372 00:20:31,320 --> 00:20:33,359 Speaker 4: When you plunk away on a keyboard. On the other hand, 373 00:20:33,400 --> 00:20:35,639 Speaker 4: information can go as it were, in one ear and 374 00:20:35,680 --> 00:20:40,439 Speaker 4: out the other. And then they study the electrical activity 375 00:20:40,480 --> 00:20:43,920 Speaker 4: of university students during the activities of handwriting and typing, 376 00:20:45,400 --> 00:20:48,600 Speaker 4: and the way their brains worked were very, very different. 377 00:20:49,480 --> 00:20:52,240 Speaker 4: Now that's just kind of a side point to the 378 00:20:52,320 --> 00:20:58,160 Speaker 4: greater point, which is the dopey grunt work that now 379 00:20:58,280 --> 00:21:02,480 Speaker 4: the computers do do or the AI can do is 380 00:21:02,520 --> 00:21:06,000 Speaker 4: the very dope y grunt work that give builds the 381 00:21:06,080 --> 00:21:09,439 Speaker 4: neural muscles it takes to do the more advanced stuff. 382 00:21:09,880 --> 00:21:13,879 Speaker 4: You can't skip to bench pressing two hundred and fifty 383 00:21:13,960 --> 00:21:19,920 Speaker 4: pounds having not bench pressed one hundred pounds ever, neurologically speaking. 384 00:21:20,280 --> 00:21:24,200 Speaker 5: That's really interesting. I was just thinking in my own life, 385 00:21:24,400 --> 00:21:28,919 Speaker 5: I do some I hate the term journaling. I don't know, 386 00:21:28,960 --> 00:21:34,520 Speaker 5: it sounds so woosy. My son would say gay and 387 00:21:34,560 --> 00:21:37,080 Speaker 5: so at all is high school friends, including gay ones. 388 00:21:37,600 --> 00:21:41,520 Speaker 2: But funny, isn't it. Uh? 389 00:21:41,920 --> 00:21:45,399 Speaker 5: But anyway, writing about things that are you know, difficult 390 00:21:45,440 --> 00:21:49,000 Speaker 5: to try to get them out or figure them out. 391 00:21:49,560 --> 00:21:52,439 Speaker 5: But I do it a lot, typing into my notes 392 00:21:52,480 --> 00:21:55,080 Speaker 5: and my phone, and you're you're saying that doesn't count, 393 00:21:56,359 --> 00:22:01,159 Speaker 5: that that doesn't work right. Interesting way, I mean to 394 00:22:01,160 --> 00:22:05,840 Speaker 5: be completely wasting my time. I hate handwriting. I did 395 00:22:05,840 --> 00:22:08,840 Speaker 5: say I'm left handed, I have short fingers. I just 396 00:22:09,119 --> 00:22:10,480 Speaker 5: the physical act of handwriting. 397 00:22:10,520 --> 00:22:11,000 Speaker 2: I hate. 398 00:22:11,640 --> 00:22:14,840 Speaker 5: It's just physically that's funny. My my my son who's 399 00:22:14,880 --> 00:22:17,080 Speaker 5: left handed, is that way. He just he just he 400 00:22:17,600 --> 00:22:21,840 Speaker 5: almost says it hurts. It's just like it's physically awful 401 00:22:21,880 --> 00:22:22,439 Speaker 5: for him to do. 402 00:22:23,119 --> 00:22:25,000 Speaker 4: It does get kind of crampy because you're taught that 403 00:22:25,040 --> 00:22:27,119 Speaker 4: your letters ought to have a certain slam slant. And 404 00:22:27,119 --> 00:22:29,280 Speaker 4: if you're left handed you have to like form a 405 00:22:29,280 --> 00:22:31,000 Speaker 4: hook with your hand, and right. 406 00:22:31,040 --> 00:22:33,560 Speaker 2: Sideways you're some sort of degenerates. We all, we all 407 00:22:33,560 --> 00:22:36,000 Speaker 2: know it. Well, you know, if you don't know this, 408 00:22:36,080 --> 00:22:36,520 Speaker 2: you should. 409 00:22:36,600 --> 00:22:40,600 Speaker 4: The The word sinister is Latin for left handed for 410 00:22:40,680 --> 00:22:44,239 Speaker 4: good reason, right, and what's the uh the uh the 411 00:22:44,280 --> 00:22:48,720 Speaker 4: equivalent right hand and it's like noble or something. Anyway, 412 00:22:48,800 --> 00:22:54,520 Speaker 4: that's why I'm a Satanist. Anyway, moving along, then you 413 00:22:54,680 --> 00:22:57,720 Speaker 4: get well, I kind of made the point already. But 414 00:22:59,520 --> 00:23:01,359 Speaker 4: if you don't do the stuff to work up to 415 00:23:01,400 --> 00:23:03,240 Speaker 4: the advanced stuff, you'll never be able to do the 416 00:23:03,280 --> 00:23:04,040 Speaker 4: advanced stuff. 417 00:23:04,080 --> 00:23:05,119 Speaker 2: And college and high. 418 00:23:04,960 --> 00:23:09,040 Speaker 4: School students are increasingly using large language models like chat 419 00:23:09,080 --> 00:23:14,280 Speaker 4: GPT to write papers, perform mathematical proofs, and create computer code. 420 00:23:14,640 --> 00:23:16,800 Speaker 4: That means they don't learn to think through, express or 421 00:23:16,840 --> 00:23:23,000 Speaker 4: defend ideas. And Aha moments occur spontaneously within your brain 422 00:23:23,320 --> 00:23:26,240 Speaker 4: with a sudden burst of high frequency electrical activity. 423 00:23:26,359 --> 00:23:31,199 Speaker 2: When the brain connects seemingly unrelated concepts, it finds the 424 00:23:31,240 --> 00:23:35,680 Speaker 2: connections and sees patterns and then it says, oh, wow, 425 00:23:36,720 --> 00:23:40,080 Speaker 2: and we're denying ourselves all of the grunt work to 426 00:23:40,200 --> 00:23:41,960 Speaker 2: get there. Wow. That's interesting. 427 00:23:41,960 --> 00:23:45,680 Speaker 5: I've had that happen with music before, with after years 428 00:23:45,720 --> 00:23:48,400 Speaker 5: of doing well. It's like learning scales and then something else, 429 00:23:48,440 --> 00:23:51,480 Speaker 5: and then somehow it all comes together at one point. Yeah, 430 00:23:51,520 --> 00:23:54,159 Speaker 5: it makes sense so that it can happen with this 431 00:23:54,240 --> 00:23:56,879 Speaker 5: other stuff. But we're stitch in the first part. We're 432 00:23:56,880 --> 00:23:57,879 Speaker 5: skipping the scale. 433 00:23:57,680 --> 00:24:00,000 Speaker 4: RNE as a quick aside, and I realized this sounds 434 00:24:00,160 --> 00:24:02,000 Speaker 4: kind of silly and makes it clear that I'm an 435 00:24:02,040 --> 00:24:03,160 Speaker 4: old bastard at this point. 436 00:24:03,160 --> 00:24:06,040 Speaker 2: But Judy and I are really into doing crossword puzzles. 437 00:24:06,040 --> 00:24:10,120 Speaker 4: We do like the hard New York times like Friday 438 00:24:10,119 --> 00:24:13,520 Speaker 4: through Sunday crossword puzzles, and I will and we do 439 00:24:13,560 --> 00:24:15,760 Speaker 4: him as a team, which is fun and brings us together. 440 00:24:15,800 --> 00:24:19,640 Speaker 4: But I will be utterly stumped. Saturday's the hardest one. 441 00:24:20,160 --> 00:24:22,639 Speaker 4: Sunday's kind of a mind blank because often there's a 442 00:24:22,640 --> 00:24:23,520 Speaker 4: trick within the puzzle. 443 00:24:23,560 --> 00:24:24,840 Speaker 2: But Saturday is really hard. 444 00:24:24,920 --> 00:24:28,440 Speaker 4: And often I will be completely stumped, and I will 445 00:24:28,440 --> 00:24:30,760 Speaker 4: go away for an hour two hours. I will come 446 00:24:30,800 --> 00:24:35,200 Speaker 4: back and I will crush it. What happened there? That's 447 00:24:35,240 --> 00:24:36,120 Speaker 4: worth thinking about. 448 00:24:36,119 --> 00:24:39,119 Speaker 5: How I've been utilizing that my whole life, like writing 449 00:24:39,160 --> 00:24:40,040 Speaker 5: papers for school. 450 00:24:40,080 --> 00:24:41,000 Speaker 2: I always knew that. 451 00:24:40,920 --> 00:24:42,480 Speaker 5: If I thought about it, thought about it, thought about it, 452 00:24:42,520 --> 00:24:43,040 Speaker 5: couldn't come. 453 00:24:42,960 --> 00:24:45,919 Speaker 2: Up with it. If I slept, I'd wake up and 454 00:24:45,920 --> 00:24:47,320 Speaker 2: I'd have it. I would have it. 455 00:24:47,400 --> 00:24:51,280 Speaker 4: Yeah, Well, and I won't tell you what does happen. 456 00:24:51,600 --> 00:24:53,920 Speaker 5: I'm reading this book right now. It's a Graham Green. 457 00:24:53,960 --> 00:24:56,560 Speaker 5: He's a fantastic author. I've never written his stuff, but 458 00:24:56,600 --> 00:25:00,879 Speaker 5: he's in this novel I'm reading right now about an author. 459 00:25:00,920 --> 00:25:04,439 Speaker 5: So he's talking about himself basically. But how writing is 460 00:25:04,480 --> 00:25:07,000 Speaker 5: something that happens while you're not thinking about it. He says, 461 00:25:07,080 --> 00:25:09,880 Speaker 5: you're gathering all this information, coming up with plot ideas, 462 00:25:10,000 --> 00:25:12,119 Speaker 5: and then the writing happens when you're not thinking about it, 463 00:25:12,119 --> 00:25:14,160 Speaker 5: and then it comes out on the page. So it's 464 00:25:14,320 --> 00:25:16,920 Speaker 5: just exactly what you're describing. It's your brain is doing 465 00:25:16,960 --> 00:25:20,720 Speaker 5: something while you're asleep or occupied doing something else, synthesizes 466 00:25:20,800 --> 00:25:22,359 Speaker 5: it and then it comes out. 467 00:25:22,359 --> 00:25:24,399 Speaker 4: Or and this is a bit of a quibble, and 468 00:25:24,400 --> 00:25:25,760 Speaker 4: this is what I was about to say. I'm not 469 00:25:25,760 --> 00:25:29,440 Speaker 4: going to lecture you, but I now discipline myself harshly 470 00:25:30,680 --> 00:25:34,919 Speaker 4: using a lash to be bored a certain amount of 471 00:25:34,920 --> 00:25:39,160 Speaker 4: the day, to be doing nothing, reading nothing, looking at 472 00:25:39,160 --> 00:25:42,359 Speaker 4: nothing but the trees and the sky and my dog 473 00:25:42,560 --> 00:25:47,680 Speaker 4: peeing over there. I am committed to being not occupied 474 00:25:47,720 --> 00:25:48,800 Speaker 4: a certain chunk of the day. 475 00:25:48,920 --> 00:25:52,000 Speaker 5: So you're like Putty Elaine's boyfriend sitting on the plane 476 00:25:52,080 --> 00:25:53,160 Speaker 5: just staring at the seatback. 477 00:25:53,720 --> 00:25:55,359 Speaker 2: Yeah, I'm fine. Do you want something to read? No, 478 00:25:55,400 --> 00:25:59,960 Speaker 2: I'm a right. Oh anything, crossword puzzle, I'm fine. Yeah. 479 00:26:00,200 --> 00:26:01,880 Speaker 4: I sat next to a lady like that a few 480 00:26:01,880 --> 00:26:03,520 Speaker 4: months ago. I think I talked about it on the air, 481 00:26:04,080 --> 00:26:06,520 Speaker 4: and it was freaking me out. It was weird me out. 482 00:26:06,720 --> 00:26:08,159 Speaker 4: I was like, is she going to take over the 483 00:26:08,200 --> 00:26:12,040 Speaker 4: plane or kill me or explode into a rage or 484 00:26:12,320 --> 00:26:14,960 Speaker 4: this is not natural shoes are going to catch on fire. 485 00:26:15,560 --> 00:26:17,360 Speaker 4: But take time to daydreams. Seriously. 486 00:26:17,640 --> 00:26:21,880 Speaker 5: Earlier, we were talking about the new Tesla robotaxis. 487 00:26:21,960 --> 00:26:25,440 Speaker 2: One of them. 488 00:26:24,200 --> 00:26:26,639 Speaker 5: Paused in an intersection in Austin or something like that 489 00:26:26,720 --> 00:26:29,400 Speaker 5: and made some news. But I would see the automated 490 00:26:29,480 --> 00:26:31,600 Speaker 5: driving on the Tesla, which kind of fits into the 491 00:26:31,600 --> 00:26:34,000 Speaker 5: AI stuff, is so much better than it was three 492 00:26:34,080 --> 00:26:35,600 Speaker 5: years ago when I first started writing Tesla. 493 00:26:35,680 --> 00:26:38,480 Speaker 2: I mean, it's night and day, and it's so good now. 494 00:26:38,560 --> 00:26:42,639 Speaker 5: And I never thought I would have any interest in 495 00:26:42,800 --> 00:26:47,640 Speaker 5: using automated driving, similar to the first time I ever 496 00:26:47,680 --> 00:26:49,760 Speaker 5: saw somebody texting and learned about it, I thought, why 497 00:26:49,800 --> 00:26:53,600 Speaker 5: would anybody do that? And then obviously we all text constantly. 498 00:26:53,680 --> 00:26:56,639 Speaker 5: Now I use automated driving all the time. When I 499 00:26:56,760 --> 00:26:58,680 Speaker 5: drive my vehicle that doesn't have it, it seems like, oh, 500 00:26:58,720 --> 00:27:02,880 Speaker 5: this is kind of a pain in the ass, So convert, 501 00:27:03,040 --> 00:27:06,560 Speaker 5: don't well, don't pretend you know what things you'll like, 502 00:27:06,600 --> 00:27:08,320 Speaker 5: and you don't. I know in my own life, I've 503 00:27:08,320 --> 00:27:10,280 Speaker 5: been proven wrong multiple times. 504 00:27:12,320 --> 00:27:16,160 Speaker 4: So the NFL is about to change thanks to AI, 505 00:27:17,240 --> 00:27:21,840 Speaker 4: and they in the Athletic they're talking about how coaches 506 00:27:21,880 --> 00:27:28,520 Speaker 4: are already using AI to analyze tendencies of opponents and 507 00:27:28,560 --> 00:27:31,120 Speaker 4: that sort of thing. They use the example of there's 508 00:27:31,160 --> 00:27:33,879 Speaker 4: a wide gulf between the math used to optimize fourth 509 00:27:33,920 --> 00:27:37,159 Speaker 4: down decisions and a voiced AI agent telling you to 510 00:27:37,200 --> 00:27:39,879 Speaker 4: look out for the weak side linebacker while you're sitting 511 00:27:39,880 --> 00:27:43,080 Speaker 4: alone in your office on a Tuesday night. This assistant 512 00:27:43,119 --> 00:27:46,000 Speaker 4: coach who's the offensive coordinator for the Falcon says, I'm 513 00:27:46,040 --> 00:27:47,200 Speaker 4: getting a little scared. 514 00:27:47,880 --> 00:27:50,880 Speaker 5: Yeah, I could see where this would go. Very quickly, 515 00:27:53,480 --> 00:27:56,760 Speaker 5: and there are I mean, without even thinking of reading 516 00:27:56,800 --> 00:27:58,920 Speaker 5: with this or thinking about it, I just AI could 517 00:27:59,000 --> 00:28:04,480 Speaker 5: crunch the last five years of all the plays. Say, 518 00:28:04,600 --> 00:28:08,879 Speaker 5: look eighty seven percent of the time, the other team 519 00:28:08,960 --> 00:28:12,040 Speaker 5: is going to do this in this situation, and you 520 00:28:12,119 --> 00:28:14,359 Speaker 5: react to it, and then that will be cool up 521 00:28:14,440 --> 00:28:17,600 Speaker 5: until the point that it's just AI against AI. You know, 522 00:28:17,720 --> 00:28:19,000 Speaker 5: a season from now. 523 00:28:20,800 --> 00:28:23,040 Speaker 4: Your computer telling you what play to run in their 524 00:28:23,080 --> 00:28:26,199 Speaker 4: computer are telling them how to counter it. Having a 525 00:28:26,200 --> 00:28:31,320 Speaker 4: pretty good idea what's coming. And they're talking about coaches 526 00:28:31,359 --> 00:28:35,000 Speaker 4: being replaced entirely, but he just already have. This guy 527 00:28:35,160 --> 00:28:40,640 Speaker 4: was hired by the Raiders as the head coach research specialist, 528 00:28:40,920 --> 00:28:44,120 Speaker 4: but the job may be better understood as AI coordinator. 529 00:28:45,360 --> 00:28:49,080 Speaker 4: He uses AI every single day. He's clearly going to happen. 530 00:28:49,120 --> 00:28:50,880 Speaker 4: I don't know why I hadn't thought about this before. 531 00:28:51,080 --> 00:28:52,760 Speaker 4: This is clearly going to happen. 532 00:28:53,000 --> 00:28:56,760 Speaker 5: You got super smart people who study, like like maniacs 533 00:28:57,480 --> 00:29:00,640 Speaker 5: for this stuff to make decisions in the like forty 534 00:29:00,640 --> 00:29:03,320 Speaker 5: five seconds you have before between plays or whatever it is, 535 00:29:03,880 --> 00:29:04,800 Speaker 5: and now AI. 536 00:29:04,640 --> 00:29:07,080 Speaker 2: Is going to be able to do it. Let me 537 00:29:07,120 --> 00:29:07,760 Speaker 2: read you some of this. 538 00:29:08,000 --> 00:29:10,160 Speaker 4: I feel pretty confident saying that some team is going 539 00:29:10,200 --> 00:29:12,680 Speaker 4: to win a Super Bowl in the next few years 540 00:29:12,760 --> 00:29:15,880 Speaker 4: utilizing AI at a very high rate, significantly higher than 541 00:29:15,880 --> 00:29:18,480 Speaker 4: it's ever been used before, said this coach. It's really 542 00:29:18,480 --> 00:29:22,000 Speaker 4: an opportunity to differentiate your differentiate yourself from a team 543 00:29:22,040 --> 00:29:23,760 Speaker 4: that might have a more talented roster. 544 00:29:23,640 --> 00:29:24,680 Speaker 2: Better coaches or whatnot. 545 00:29:24,800 --> 00:29:26,640 Speaker 4: Ruin, there's just going to be more and more separation 546 00:29:26,760 --> 00:29:28,840 Speaker 4: with teams that are have bought in. 547 00:29:29,320 --> 00:29:33,000 Speaker 5: Yeah, they might have to outlaw that. I mean because 548 00:29:33,040 --> 00:29:37,840 Speaker 5: it's similar to when computers got better at chess than 549 00:29:37,920 --> 00:29:40,440 Speaker 5: humans and people thought that'd be the end of chess 550 00:29:40,480 --> 00:29:43,479 Speaker 5: or whatever. No, people still like watching the best humans 551 00:29:43,480 --> 00:29:46,200 Speaker 5: play each other, even though they're a computer out there 552 00:29:46,240 --> 00:29:47,040 Speaker 5: could beat either. 553 00:29:46,840 --> 00:29:47,160 Speaker 2: One of them. 554 00:29:47,160 --> 00:29:49,600 Speaker 5: Who cares? You still want to know who the best 555 00:29:49,680 --> 00:29:52,160 Speaker 5: human is. I think knowing who the best humans are 556 00:29:52,880 --> 00:29:57,120 Speaker 5: at guessing the plays is more fun than two computers 557 00:29:57,120 --> 00:30:00,240 Speaker 5: battling it out right. 558 00:30:00,320 --> 00:30:03,160 Speaker 4: It'll be so interesting to see how the league and 559 00:30:03,200 --> 00:30:05,959 Speaker 4: the rules adapt to this and how people will then cheat. 560 00:30:06,680 --> 00:30:09,040 Speaker 4: Because they're talking about there are systems that can watch 561 00:30:09,200 --> 00:30:12,920 Speaker 4: game film, sure of multiple teams, multiple games, analyze it 562 00:30:13,000 --> 00:30:17,080 Speaker 4: come up with the probabilities. The next layer, they say 563 00:30:17,160 --> 00:30:21,600 Speaker 4: is understanding personnel as well, because, as they put it, 564 00:30:21,680 --> 00:30:23,880 Speaker 4: Fourth and One with Mike Vick and Algae Crumpler looks 565 00:30:23,880 --> 00:30:25,840 Speaker 4: a lot different than Fourth and One with Kirk Cousins 566 00:30:25,840 --> 00:30:26,480 Speaker 4: and Kyle Bitts. 567 00:30:26,480 --> 00:30:28,160 Speaker 2: Hey, I fear for that. Hey, I will figure that 568 00:30:28,200 --> 00:30:30,360 Speaker 2: out because they can take it into much of give 569 00:30:30,360 --> 00:30:35,440 Speaker 2: it a week. Armstrong and Genny Christmas Shopping. Sometimes it's 570 00:30:35,480 --> 00:30:36,080 Speaker 2: so tough. 571 00:30:37,560 --> 00:30:41,120 Speaker 8: It can feel like you're just buying a bunch of 572 00:30:41,280 --> 00:30:47,600 Speaker 8: random stuff. Get focus, stand, spend your money right. We've 573 00:30:47,600 --> 00:30:52,560 Speaker 8: got the perfect gift, but special person in your life. 574 00:30:52,640 --> 00:30:59,200 Speaker 8: The Armstrong and Gunny super Stone Shop Now, I'm Strong 575 00:30:59,360 --> 00:31:00,240 Speaker 8: and Ganny. 576 00:31:02,200 --> 00:31:15,160 Speaker 1: Dot Com The Armstrong and Getty Show. 577 00:31:15,400 --> 00:31:19,200 Speaker 7: Eight months after the election, Democrats are still trying to 578 00:31:19,240 --> 00:31:21,880 Speaker 7: dig themselves out of a hole, but a new poll 579 00:31:21,960 --> 00:31:25,440 Speaker 7: from the Wall Street Journal paints a bleak picture. It 580 00:31:25,480 --> 00:31:30,040 Speaker 7: reveals only thirty three percent of registered voters today view 581 00:31:30,120 --> 00:31:35,560 Speaker 7: Democrats favorably, while a staggering sixty three percent see them negatively. 582 00:31:36,040 --> 00:31:40,360 Speaker 7: That's the worst rating from the same poll since nineteen ninety. 583 00:31:40,200 --> 00:31:44,200 Speaker 4: At Saisha Hasny on Special Report Last Night with Brett Brettbaar, 584 00:31:44,320 --> 00:31:50,640 Speaker 4: Fox News Slash so Yes Analysis in a Moment I 585 00:31:50,680 --> 00:31:53,440 Speaker 4: found this next segment pretty interesting though. 586 00:31:53,520 --> 00:31:56,320 Speaker 2: Go ahead, Aisha. We're in the doghouse yet again. 587 00:31:56,360 --> 00:31:58,880 Speaker 5: We certainly do have a problem, and it's a messaging problem. 588 00:31:58,960 --> 00:32:02,520 Speaker 7: If messaging is the problem, the new poll signals Democrats 589 00:32:02,520 --> 00:32:07,240 Speaker 7: attacking President Trump isn't working at least yet. That's because 590 00:32:07,320 --> 00:32:11,600 Speaker 7: even when more voters disapprove of Trump on issues like inflation, 591 00:32:12,200 --> 00:32:17,040 Speaker 7: they still trust congressional Republicans more than Democrats to handle 592 00:32:17,120 --> 00:32:20,960 Speaker 7: that issue by a whopping ten points. On immigration, the 593 00:32:21,040 --> 00:32:25,240 Speaker 7: same thing, More voters disapprove of Trump's handling of the matter, 594 00:32:25,560 --> 00:32:29,760 Speaker 7: but Republicans once again are trusted more than Democrats to 595 00:32:29,880 --> 00:32:30,320 Speaker 7: manage it. 596 00:32:30,400 --> 00:32:30,960 Speaker 2: Yeah. I don't know. 597 00:32:31,280 --> 00:32:33,280 Speaker 5: I don't know if I believe this analysis that people 598 00:32:33,320 --> 00:32:36,680 Speaker 5: have been going with. I think it's the crazy factor. 599 00:32:37,440 --> 00:32:40,840 Speaker 5: It's the uh, I don't know. You've got a friend 600 00:32:41,200 --> 00:32:44,760 Speaker 5: who does a few things that are just so crazy 601 00:32:45,160 --> 00:32:47,560 Speaker 5: you don't trust his judgment on anything else. 602 00:32:48,440 --> 00:32:50,640 Speaker 2: I think that's what's driving it. It's not that. 603 00:32:51,360 --> 00:32:56,080 Speaker 5: Yeah, the Democrats view of the economy is specifically blah 604 00:32:56,120 --> 00:32:56,680 Speaker 5: blah blah. 605 00:32:56,760 --> 00:33:00,400 Speaker 9: It said, you're the people that want boys plan girls. 606 00:33:00,520 --> 00:33:03,040 Speaker 9: You're the people that want me to say LATINEX. You're 607 00:33:03,040 --> 00:33:05,720 Speaker 9: the people that think we shouldn't have police. I don't 608 00:33:05,720 --> 00:33:08,320 Speaker 9: trust you on anything. I think it's the crazy factor. 609 00:33:08,640 --> 00:33:10,600 Speaker 9: Yeah you put a grown man in my little girl's 610 00:33:10,600 --> 00:33:11,959 Speaker 9: locker room. Yeah exactly. 611 00:33:12,320 --> 00:33:15,840 Speaker 4: But to her point though, and it's not in contrast 612 00:33:15,840 --> 00:33:19,080 Speaker 4: to your point, it's agreeing with it. So like on 613 00:33:19,600 --> 00:33:24,880 Speaker 4: inflation and rising prices, Trump is eleven points underwater, okay, 614 00:33:25,360 --> 00:33:31,080 Speaker 4: but the Republicans in general are ten points to the positive. 615 00:33:32,080 --> 00:33:35,479 Speaker 4: So what Trump's doing right now on immigration he sees 616 00:33:36,240 --> 00:33:40,080 Speaker 4: just three points underwater, but generally speaking Republicans that are 617 00:33:40,080 --> 00:33:42,760 Speaker 4: Democrats seventeen. 618 00:33:42,240 --> 00:33:45,160 Speaker 2: Point advantage for Republicans. 619 00:33:45,600 --> 00:33:49,560 Speaker 4: So there are momentarily momentary quibbles with the way Trump 620 00:33:49,600 --> 00:33:53,040 Speaker 4: is approaching this, that or the other, But in terms 621 00:33:53,080 --> 00:33:56,640 Speaker 4: of general philosophy that I don't care. I want the Republicans, 622 00:33:57,000 --> 00:33:59,240 Speaker 4: which again I don't think disagrees with your point. 623 00:33:59,280 --> 00:34:00,480 Speaker 2: I think it agrees with it. 624 00:34:01,040 --> 00:34:03,440 Speaker 4: Why do they have that percent or why do they 625 00:34:03,560 --> 00:34:04,880 Speaker 4: lean so strongly that way? 626 00:34:05,040 --> 00:34:07,520 Speaker 2: Because they think that Democrats have lost their effing mind. 627 00:34:10,440 --> 00:34:14,480 Speaker 4: Let's see, So the Democrats are thirty three percent favorable, 628 00:34:14,640 --> 00:34:20,279 Speaker 4: sixty three percent unfavorable, far weaker assessment than voters give 629 00:34:20,320 --> 00:34:22,720 Speaker 4: to either President Trump or the Republican Party. 630 00:34:23,360 --> 00:34:24,480 Speaker 2: Yeah, they're underwater. 631 00:34:24,520 --> 00:34:27,080 Speaker 4: But of course political parties ought to be underwater, remember 632 00:34:27,120 --> 00:34:29,120 Speaker 4: when you got their opponents, and number two you got 633 00:34:30,719 --> 00:34:33,920 Speaker 4: neutrals or independence and their own party members who'd like 634 00:34:33,960 --> 00:34:34,960 Speaker 4: them to change what they're. 635 00:34:34,840 --> 00:34:35,400 Speaker 2: Doing a little bit. 636 00:34:35,400 --> 00:34:40,279 Speaker 4: But anyway, Trump is seven percent underwater and Republicans are 637 00:34:40,280 --> 00:34:44,839 Speaker 4: eleven percent underwater. But again keep in mind, the Democrats 638 00:34:44,880 --> 00:34:47,080 Speaker 4: are thirty points underwater. 639 00:34:47,320 --> 00:34:50,240 Speaker 5: Yeah, as always that number of people that are unhappy 640 00:34:50,239 --> 00:34:52,560 Speaker 5: with the Democrats, it's a certain chunk who think they're crazy, 641 00:34:52,640 --> 00:34:54,560 Speaker 5: like I was just talking about, and a certain chunk, 642 00:34:54,600 --> 00:34:56,839 Speaker 5: smaller chunk, but a certain chunk that thinks they haven't 643 00:34:56,840 --> 00:34:59,080 Speaker 5: gone far enough, they haven't stuck to their guns on 644 00:35:00,000 --> 00:35:02,600 Speaker 5: I's issues and defunding the police and climate change and 645 00:35:02,640 --> 00:35:03,760 Speaker 5: all the other important things. 646 00:35:04,280 --> 00:35:07,200 Speaker 4: Which is even worse news, really, But a mere eight 647 00:35:07,360 --> 00:35:11,640 Speaker 4: percent of voters view the Democrats very favorably, two and 648 00:35:11,640 --> 00:35:15,319 Speaker 4: a half times as many have the same level of 649 00:35:15,520 --> 00:35:16,800 Speaker 4: enthusiasm for the GOP. 650 00:35:18,560 --> 00:35:21,960 Speaker 5: I we got a long way to go on what direction? 651 00:35:22,200 --> 00:35:23,920 Speaker 5: You know what the Democratic Party is going to look 652 00:35:23,960 --> 00:35:28,600 Speaker 5: like next presidential election. But I keep hearing people like 653 00:35:28,680 --> 00:35:32,960 Speaker 5: smart people throughout AOC is the current front runner slash 654 00:35:33,000 --> 00:35:35,920 Speaker 5: face of the Democratic Party, and she probably is. 655 00:35:36,440 --> 00:35:40,120 Speaker 2: Who else would have doomed They are doomed, doomed. If 656 00:35:40,520 --> 00:35:43,480 Speaker 2: it was you that go ahead, try it. 657 00:35:44,000 --> 00:35:45,600 Speaker 4: I don't know who else would it be as a 658 00:35:45,640 --> 00:35:48,600 Speaker 4: rhetorical question, but the answer is a blue state governor 659 00:35:48,640 --> 00:35:50,080 Speaker 4: who's a moderate. 660 00:35:50,160 --> 00:35:51,640 Speaker 5: Yeah, but it's got to be a human being so 661 00:35:51,680 --> 00:35:53,400 Speaker 5: that yeah, you're right, but it's got to be an 662 00:35:53,400 --> 00:35:54,760 Speaker 5: actual name at some point. 663 00:35:55,400 --> 00:35:57,320 Speaker 4: I mean, I could throw out a list, but nobody, 664 00:35:57,400 --> 00:36:00,319 Speaker 4: nobody is talking about Bill Clinton. Nobody's throw We're talking 665 00:36:00,320 --> 00:36:04,200 Speaker 4: about Bill Clinton even after he entered Sure, Armstrong and 666 00:36:04,320 --> 00:36:04,960 Speaker 4: Getty