1 00:00:00,400 --> 00:00:05,680 Speaker 1: Broadcasting live from the Abraham Lincoln Radio Studio the George 2 00:00:05,720 --> 00:00:11,200 Speaker 1: Washington Broadcast Center, Jack Armstrong, Jetty Armstrong and Getty and 3 00:00:11,920 --> 00:00:22,479 Speaker 1: he Armstrong and Getty Strong. And while you're enjoying the 4 00:00:22,560 --> 00:00:26,000 Speaker 1: Armstrong and Getty replay, don't forget the reason for the season. 5 00:00:26,520 --> 00:00:31,120 Speaker 1: That's European exployer's colonial settlers. I don't know. I don't 6 00:00:31,160 --> 00:00:32,760 Speaker 1: know what the reason that the season is it's cool, 7 00:00:33,479 --> 00:00:37,159 Speaker 1: spices right looking for it's right? Was that, I don't know. 8 00:00:37,479 --> 00:00:40,440 Speaker 1: I feel like I have enough spices. I'm not gonna anyway. 9 00:00:40,760 --> 00:00:44,640 Speaker 2: Enjoy a carefully curated Armstrong and Getty replay. 10 00:00:45,000 --> 00:00:48,000 Speaker 3: The hotel chain Holiday in Express has unveiled a new 11 00:00:48,120 --> 00:00:50,720 Speaker 3: scent based alarm clock that will wake up guests with 12 00:00:50,840 --> 00:00:55,480 Speaker 3: a simulated smell of breakfast, because what weary traveler does 13 00:00:55,480 --> 00:00:56,720 Speaker 3: it love to wake up. 14 00:00:56,720 --> 00:01:06,840 Speaker 1: To a lie. That's funny. When I was hiking with 15 00:01:06,880 --> 00:01:09,640 Speaker 1: my son, I said something to him and he said, 16 00:01:09,680 --> 00:01:15,160 Speaker 1: don't turn this into a forest of lies, which is 17 00:01:15,200 --> 00:01:19,720 Speaker 1: a Simpsons reference. So do you want philosophical AI or 18 00:01:19,800 --> 00:01:22,680 Speaker 1: nuts and bolts factual AI. I think I'll start with 19 00:01:22,760 --> 00:01:25,160 Speaker 1: nuts and bolts factual. We do a lot of philosophical, 20 00:01:25,200 --> 00:01:26,760 Speaker 1: although I do want to get to that at some point. 21 00:01:27,319 --> 00:01:31,440 Speaker 1: So in a business section today of the Washington Post, 22 00:01:31,840 --> 00:01:37,840 Speaker 1: AI will trigger financial calamity, So that got my attention. 23 00:01:38,360 --> 00:01:40,280 Speaker 1: It's funny we were talking about this just the other day. 24 00:01:40,319 --> 00:01:44,320 Speaker 1: I texted in my own personal life. I texted Joe like, hey, 25 00:01:44,319 --> 00:01:46,000 Speaker 1: I just checked my four A one K because I 26 00:01:46,000 --> 00:01:48,640 Speaker 1: don't check it on a regular basis. Holy crap, you know, 27 00:01:48,720 --> 00:01:51,240 Speaker 1: because this stock market has been going up, setting records 28 00:01:51,240 --> 00:01:53,000 Speaker 1: every single day. I looked at my frog K and 29 00:01:53,040 --> 00:01:55,480 Speaker 1: I was like, this is incredible, and we're both discussing 30 00:01:55,480 --> 00:01:58,120 Speaker 1: how there's got to be a correction coming. I want, 31 00:01:58,440 --> 00:02:00,880 Speaker 1: you know, a smart person might think, you know, maybe 32 00:02:00,880 --> 00:02:03,960 Speaker 1: I'll put this in something kind of not volatile and 33 00:02:04,000 --> 00:02:05,760 Speaker 1: wait for the correction to come. Of course, that's how 34 00:02:05,800 --> 00:02:09,280 Speaker 1: you miss out on a lot of rises, right by 35 00:02:09,400 --> 00:02:13,799 Speaker 1: the nip. By the nip. All right. AI is going 36 00:02:13,840 --> 00:02:18,280 Speaker 1: to cause a financial calamity, is what it says. And 37 00:02:18,360 --> 00:02:21,160 Speaker 1: let me read this to you. The House of court, 38 00:02:21,520 --> 00:02:24,360 Speaker 1: and this is from one expert researcher at one of 39 00:02:24,360 --> 00:02:27,919 Speaker 1: your big AI groups. The house of cards is going 40 00:02:27,960 --> 00:02:30,440 Speaker 1: to start crumbling. The amount of money being spent is 41 00:02:30,480 --> 00:02:34,800 Speaker 1: not proportionate to the money that's coming in. These perspectives 42 00:02:34,840 --> 00:02:38,240 Speaker 1: are all about how based on the money that's been spent. 43 00:02:38,240 --> 00:02:40,240 Speaker 1: And we've talked about this a lot of times. Nvidia 44 00:02:40,360 --> 00:02:43,760 Speaker 1: agreed to invest up to a one hundred billion dollars 45 00:02:44,440 --> 00:02:46,720 Speaker 1: or that's about the size of New York City's entire 46 00:02:46,840 --> 00:02:48,920 Speaker 1: twenty twenty four budget, to give you an idea how 47 00:02:49,000 --> 00:02:52,080 Speaker 1: much money that is in open AI. So in Vidia, 48 00:02:52,200 --> 00:02:55,200 Speaker 1: the chip maker is investing in one of the AI 49 00:02:55,520 --> 00:03:00,160 Speaker 1: corporations and providing it with hard to get chips. And 50 00:03:03,040 --> 00:03:04,760 Speaker 1: the main point that I'll skip to and then I'll 51 00:03:04,760 --> 00:03:07,280 Speaker 1: get to the details, is the AI industry is now 52 00:03:07,360 --> 00:03:11,120 Speaker 1: buying its own revenue in a circular fashion. They keep 53 00:03:11,520 --> 00:03:14,760 Speaker 1: buying investing in each other in ways, and we'll invest 54 00:03:14,800 --> 00:03:17,000 Speaker 1: in your chips, and then the chip maker invests in 55 00:03:17,040 --> 00:03:20,120 Speaker 1: the AI and ANYI puts more money into the hardware 56 00:03:20,280 --> 00:03:23,119 Speaker 1: or the big giant thing that's gonna power the thing, 57 00:03:23,400 --> 00:03:25,080 Speaker 1: and then the big company that's going to power the 58 00:03:25,080 --> 00:03:28,160 Speaker 1: thing puts more money into groc or whatever. And it's 59 00:03:28,160 --> 00:03:34,040 Speaker 1: just this circular thing, which it could be highly troubling. 60 00:03:37,560 --> 00:03:43,200 Speaker 1: So much of the stock market is AI involved. The 61 00:03:44,400 --> 00:03:47,520 Speaker 1: and they everybody's using the example of the dot com 62 00:03:47,600 --> 00:03:50,160 Speaker 1: bubble that happened in the nineties, where there was this 63 00:03:50,240 --> 00:03:52,440 Speaker 1: build up, this build up, this build up, a little 64 00:03:52,480 --> 00:03:58,000 Speaker 1: bit similar in that companies were investing in other companies 65 00:03:58,640 --> 00:04:01,040 Speaker 1: and investing in each other and just kept building and building, 66 00:04:01,080 --> 00:04:03,560 Speaker 1: and then and then it just collapsed all of a sudden. 67 00:04:03,760 --> 00:04:07,360 Speaker 1: And if you don't remember, there was an untested revenue 68 00:04:07,560 --> 00:04:10,600 Speaker 1: model that they were hoping would come true. Yeah, it 69 00:04:10,840 --> 00:04:13,960 Speaker 1: similar to similar day. Ah yeah, And if you don't remember, 70 00:04:14,000 --> 00:04:16,280 Speaker 1: if you weren't alive for it or invested at the time. 71 00:04:16,520 --> 00:04:22,080 Speaker 1: The Nasdaq ultimately lost seventy five percent of its value 72 00:04:22,920 --> 00:04:26,760 Speaker 1: from the peak to the trough. It wasn't a minor correction. 73 00:04:31,920 --> 00:04:36,200 Speaker 1: The percentages on this whole thing is just really quite incredible. 74 00:04:39,000 --> 00:04:43,119 Speaker 1: In Video, for instance, has added one hundred and sixty 75 00:04:43,160 --> 00:04:47,360 Speaker 1: billion dollars. The rise the other day added one hundred 76 00:04:47,400 --> 00:04:50,320 Speaker 1: and sixty billion dollars to Video's market value, which is 77 00:04:50,360 --> 00:04:54,880 Speaker 1: increased by four trillion dollars in the last three years. 78 00:04:55,240 --> 00:05:00,280 Speaker 1: That's an unimaginable amount of money. It's increased by that, Yes, 79 00:05:00,320 --> 00:05:05,479 Speaker 1: it's increased by four trillion dollars in three years. You 80 00:05:05,520 --> 00:05:07,200 Speaker 1: can't even wrap your head around that kind of thing. 81 00:05:07,240 --> 00:05:10,440 Speaker 1: And I mentioned earlier as of today, Open Ai. That's 82 00:05:10,480 --> 00:05:13,560 Speaker 1: the chat GPT company. It's privately held, it's not a stock, 83 00:05:13,800 --> 00:05:16,640 Speaker 1: but it reached a valuation of a half a trillion dollars. 84 00:05:16,680 --> 00:05:19,440 Speaker 1: Is this most valuable privately held company in the world 85 00:05:19,520 --> 00:05:24,320 Speaker 1: right now? And they're investing in each other. For skeptics, 86 00:05:24,320 --> 00:05:27,200 Speaker 1: it's another dangerous sign of excess because such deals in 87 00:05:27,240 --> 00:05:31,240 Speaker 1: which players in the AI ecosystem are exchanging money are 88 00:05:31,279 --> 00:05:34,440 Speaker 1: simply financial tricks that are camouflaging the evidence of a 89 00:05:34,440 --> 00:05:38,279 Speaker 1: bubble that is about to burst. Says this analysis, you know, 90 00:05:38,360 --> 00:05:42,159 Speaker 1: this person's guessing to a certain point, to a certain extent, 91 00:05:42,240 --> 00:05:43,039 Speaker 1: like everybody else. 92 00:05:43,560 --> 00:05:46,359 Speaker 2: That's the annoying part about bubbles is that if you 93 00:05:46,360 --> 00:05:49,080 Speaker 2: could be sure they were bubbles, they would never happen. 94 00:05:50,360 --> 00:05:53,880 Speaker 1: The capital expenditures made by a very small number of companies, 95 00:05:53,920 --> 00:05:57,800 Speaker 1: as we've been talking about it, it's like you got Nvidia, 96 00:05:58,160 --> 00:06:00,600 Speaker 1: you got Google, you got test Leafe, you just got 97 00:06:00,600 --> 00:06:02,920 Speaker 1: a handful of companies that are driving most of your 98 00:06:02,960 --> 00:06:06,840 Speaker 1: stock market records. The capital expenditures made by this small 99 00:06:06,920 --> 00:06:09,920 Speaker 1: number of companies are now contributing more to GDP than 100 00:06:09,960 --> 00:06:15,800 Speaker 1: the spending of all of America's consumers. This person, this 101 00:06:16,279 --> 00:06:18,960 Speaker 1: financial expert set, I wonder if the black holes ultimately 102 00:06:19,000 --> 00:06:21,680 Speaker 1: consume each other as well as our economy and power 103 00:06:21,720 --> 00:06:26,520 Speaker 1: grid in the process, which is obviously a highly troubling idea. 104 00:06:26,640 --> 00:06:30,120 Speaker 1: It's a little cataclysmic there some yeah. To put it differently, 105 00:06:30,120 --> 00:06:32,200 Speaker 1: one of the most notorious calamities of the dot com 106 00:06:32,240 --> 00:06:35,200 Speaker 1: era was the collapse of pets dot com. Everybody uses 107 00:06:35,240 --> 00:06:38,400 Speaker 1: that one as the example. Its peak market value is 108 00:06:38,440 --> 00:06:42,240 Speaker 1: about three hundred million dollars. Since the release of chat 109 00:06:42,360 --> 00:06:45,560 Speaker 1: GPT in twenty twenty two, the value of America's stock 110 00:06:45,600 --> 00:06:50,760 Speaker 1: market has risen by Since the release of CHATGPT, and 111 00:06:50,800 --> 00:06:53,960 Speaker 1: it's only been out for three years, the stock market 112 00:06:54,040 --> 00:07:01,960 Speaker 1: has risen by twenty one trillion dollars. In a recent piece, 113 00:07:02,760 --> 00:07:05,560 Speaker 1: Sky from JP Morgan wrote that since that time, AI 114 00:07:05,680 --> 00:07:10,320 Speaker 1: related stocks have accounted for seventy five percent of S 115 00:07:10,400 --> 00:07:13,760 Speaker 1: and P five one hundred returns, seventy nine percent of 116 00:07:13,800 --> 00:07:18,760 Speaker 1: earnings growth, and ninety percent of capital spending growth. That 117 00:07:18,880 --> 00:07:21,680 Speaker 1: is an awful lot on just a couple of companies, 118 00:07:21,880 --> 00:07:24,960 Speaker 1: and all of those companies are growing around the idea 119 00:07:25,120 --> 00:07:25,600 Speaker 1: of AI. 120 00:07:26,960 --> 00:07:31,520 Speaker 2: Right, you know, I'm reminded of the whimsical yet dark 121 00:07:31,640 --> 00:07:36,360 Speaker 2: description of the Russian the Russian armed forces as a 122 00:07:36,400 --> 00:07:41,920 Speaker 2: midget with one giant muscled arm. It's nuclear forces. Is 123 00:07:42,000 --> 00:07:48,280 Speaker 2: the American economy slash stock market a absolute penniless pauper 124 00:07:48,600 --> 00:07:51,680 Speaker 2: walking around with the hope diamond in his hand, And 125 00:07:51,720 --> 00:07:54,600 Speaker 2: if the hope diamond goes away, it's just yay. 126 00:07:55,120 --> 00:07:57,520 Speaker 1: Yeah. Well, obviously, if AI turns out to be what 127 00:07:57,560 --> 00:07:59,800 Speaker 1: these companies think it's going to be, everything will be fine. 128 00:08:00,320 --> 00:08:03,360 Speaker 1: But if it's not, or if it's not very soon, 129 00:08:04,080 --> 00:08:06,720 Speaker 1: that's gonna be a problem. I mean, those numbers are shocking. 130 00:08:06,960 --> 00:08:11,440 Speaker 1: A twenty one trillion dollar rise in three years, and 131 00:08:13,080 --> 00:08:16,080 Speaker 1: three quarters to eighty percent of it depending on how 132 00:08:16,120 --> 00:08:18,880 Speaker 1: you count it. Is all these handful of companies investing 133 00:08:18,880 --> 00:08:22,680 Speaker 1: in AI in each other, right, Holy crap sounds a 134 00:08:22,720 --> 00:08:25,680 Speaker 1: little bubbly. God, I would say, so, unless it pans 135 00:08:25,720 --> 00:08:27,080 Speaker 1: out to be what they think it's gonna be, then 136 00:08:27,080 --> 00:08:29,560 Speaker 1: everything will be fine. Now to the philosophical thing on 137 00:08:29,600 --> 00:08:31,480 Speaker 1: AI that I wanted to mention. I don't know if 138 00:08:31,520 --> 00:08:34,439 Speaker 1: you know who Sam Harris is. He's a philosopher, podcaster 139 00:08:34,679 --> 00:08:36,400 Speaker 1: sort of person. He's on Bill Mahers show a lot 140 00:08:36,480 --> 00:08:39,120 Speaker 1: or whatever. He's got a pre popular podcast, and he's 141 00:08:39,160 --> 00:08:41,800 Speaker 1: got a series on right now called The Last Invention 142 00:08:42,160 --> 00:08:45,960 Speaker 1: where he's interviewing all of the top AI minds in 143 00:08:46,040 --> 00:08:48,960 Speaker 1: the world, and he wanted to get some different points 144 00:08:49,000 --> 00:08:52,560 Speaker 1: of view on people with a more positive view of AI, 145 00:08:52,679 --> 00:08:56,160 Speaker 1: because he's a doomer. That's what they call people who 146 00:08:56,280 --> 00:08:59,679 Speaker 1: lean toward the AI is going to ruin humanity and 147 00:08:59,720 --> 00:09:02,920 Speaker 1: the economy and the world and everything else. Why aren't 148 00:09:02,920 --> 00:09:05,200 Speaker 1: we stopping this? Those are dumers. I think I lean 149 00:09:05,280 --> 00:09:08,320 Speaker 1: more toward doomer than the it's going to cure cancer 150 00:09:08,320 --> 00:09:12,160 Speaker 1: and people won't have to work anymore optimists. And then 151 00:09:12,160 --> 00:09:14,079 Speaker 1: there's also the crowd that just thinks it won't happen, 152 00:09:14,120 --> 00:09:16,680 Speaker 1: so it won't make any difference. You probably have heard 153 00:09:16,720 --> 00:09:20,079 Speaker 1: of the Turing test when it comes to computers and 154 00:09:20,120 --> 00:09:25,360 Speaker 1: everything like that. That was one of the biggest phrases around 155 00:09:25,720 --> 00:09:30,080 Speaker 1: the growing power of computers for decades and decades and 156 00:09:30,120 --> 00:09:33,800 Speaker 1: decades and decades. Like man, whenever we finally reached the 157 00:09:33,840 --> 00:09:38,040 Speaker 1: point that something can pass the Turing test, we got 158 00:09:38,080 --> 00:09:39,480 Speaker 1: to watch out for that because that's going to be 159 00:09:39,520 --> 00:09:43,520 Speaker 1: a major moment in human history. That is when you 160 00:09:43,559 --> 00:09:46,320 Speaker 1: could believe that you're communicating with a human being on 161 00:09:46,320 --> 00:09:50,880 Speaker 1: the computer, be fooled into thinking it's a human. We 162 00:09:50,960 --> 00:09:53,840 Speaker 1: passed the Turing test like two three years ago, and 163 00:09:53,880 --> 00:09:56,719 Speaker 1: it just came and went without any commentary. I mean, 164 00:09:57,000 --> 00:09:59,560 Speaker 1: all your experts are saying this was built up and 165 00:09:59,559 --> 00:10:01,560 Speaker 1: build up, built up. Then it happened to everybody's like 166 00:10:01,640 --> 00:10:05,600 Speaker 1: huh oh, well, well let's just keep going. Nobody's slowed 167 00:10:05,640 --> 00:10:09,559 Speaker 1: down for whatever reason. And on this particular podcast getting 168 00:10:09,640 --> 00:10:11,480 Speaker 1: into that topic, and I thought this was a really 169 00:10:11,480 --> 00:10:14,880 Speaker 1: interesting way look at it. This is the idea that 170 00:10:14,920 --> 00:10:20,439 Speaker 1: people are starting to have human communication with their chatbots, 171 00:10:20,480 --> 00:10:22,800 Speaker 1: and it feels like you're talking to another human. I 172 00:10:22,840 --> 00:10:27,240 Speaker 1: did it in my tesla with groc just yesterday, asking 173 00:10:27,280 --> 00:10:28,960 Speaker 1: it kind of a banal question, but it was talking 174 00:10:28,960 --> 00:10:30,600 Speaker 1: to me like it's a passenger in the car. It's 175 00:10:30,600 --> 00:10:34,680 Speaker 1: a very, very weird. This particular philosopher who I've read 176 00:10:34,679 --> 00:10:37,600 Speaker 1: some of his books said, you know, for the very old, 177 00:10:37,720 --> 00:10:41,640 Speaker 1: you could see this as a positive. You're old, you're 178 00:10:41,679 --> 00:10:44,360 Speaker 1: alone in an old folks home. All your friends have 179 00:10:44,440 --> 00:10:47,960 Speaker 1: passed away, you got nobody, and now you're feeling like 180 00:10:48,040 --> 00:10:52,280 Speaker 1: you've got a companion. That's how can you argue with that? Right, 181 00:10:52,760 --> 00:10:55,959 Speaker 1: you know who cares. But it brings it comfort, Sure, right, 182 00:10:56,000 --> 00:10:57,800 Speaker 1: it brings comfort at the end of your life. But 183 00:10:58,440 --> 00:11:02,280 Speaker 1: for everybody younger it is going to destroy something with 184 00:11:02,360 --> 00:11:06,800 Speaker 1: the idea of that, And this philosopher behavioral philosopher said, 185 00:11:07,800 --> 00:11:12,720 Speaker 1: loneliness is a powerful signal that we get that tells 186 00:11:12,800 --> 00:11:16,400 Speaker 1: us we're doing something wrong, that we're not living our 187 00:11:16,440 --> 00:11:19,920 Speaker 1: life correctly. If you're lonely, you either aren't you know, 188 00:11:20,200 --> 00:11:24,400 Speaker 1: joining enough groups or taking advantage of invitations to go 189 00:11:24,480 --> 00:11:27,520 Speaker 1: do things, or making the bold move to ask somebody 190 00:11:27,520 --> 00:11:30,240 Speaker 1: on a date or whatever you're living your life, you know, 191 00:11:30,280 --> 00:11:34,839 Speaker 1: you got to make some corrections. If lonely people can 192 00:11:34,880 --> 00:11:39,720 Speaker 1: get that loneliness satisfied through a chatbot, there'll be no 193 00:11:40,000 --> 00:11:42,240 Speaker 1: corrective mechanism to do anything different. 194 00:11:43,200 --> 00:11:47,439 Speaker 2: Yeah, I quibble only with the word satisfied, because, as 195 00:11:47,440 --> 00:11:49,880 Speaker 2: I've been saying for years and years now, using a 196 00:11:49,880 --> 00:11:54,000 Speaker 2: food metaphor, you satiate your hunger, you do not get 197 00:11:54,000 --> 00:11:54,720 Speaker 2: any nutrition. 198 00:11:55,000 --> 00:11:56,800 Speaker 1: Well, the problem though, is it'll be enough to keep 199 00:11:56,840 --> 00:12:00,240 Speaker 1: you from feeling the corrective mechanism. I think that's been 200 00:12:00,240 --> 00:12:03,960 Speaker 1: proven with with freaking internet porn well, no, that's that's 201 00:12:04,040 --> 00:12:04,960 Speaker 1: my point exactly. 202 00:12:05,480 --> 00:12:08,360 Speaker 2: Yeah, you will no longer seek that which will keep 203 00:12:08,400 --> 00:12:08,960 Speaker 2: you alive. 204 00:12:09,080 --> 00:12:10,760 Speaker 1: Well, maybe I didn't make it. Maybe I didn't make it. 205 00:12:11,240 --> 00:12:12,840 Speaker 1: Maybe I didn't make it clear. He was pointing this 206 00:12:12,840 --> 00:12:15,280 Speaker 1: out as a negative. This is a bad thing. This 207 00:12:15,360 --> 00:12:18,079 Speaker 1: is an awful thing. Right that it will you know 208 00:12:18,200 --> 00:12:20,800 Speaker 1: that it will fool people. It will give people enough 209 00:12:20,880 --> 00:12:23,880 Speaker 1: to you know, you don't do the normal correction. You 210 00:12:23,880 --> 00:12:25,360 Speaker 1: don't think I've got to get out of my house. 211 00:12:25,640 --> 00:12:27,040 Speaker 1: I've got to do something. I got to join a 212 00:12:27,040 --> 00:12:30,720 Speaker 1: boiling league. I gotta do something. People won't right, it'll 213 00:12:30,800 --> 00:12:33,199 Speaker 1: kill their souls. And I don't see how we don't. 214 00:12:33,320 --> 00:12:39,320 Speaker 1: I don't see how we don't go down that road unless, 215 00:12:39,559 --> 00:12:42,600 Speaker 1: like Sam Harris is arguing that we outlawed, just flat 216 00:12:42,640 --> 00:12:45,520 Speaker 1: out out law AI any company trying to do it 217 00:12:45,600 --> 00:12:49,480 Speaker 1: around the world. We treat it like nuclear weapons. Out 218 00:12:49,480 --> 00:12:54,720 Speaker 1: agree and good luck with that, Jack Armstrong and Joe 219 00:12:55,440 --> 00:12:56,760 Speaker 1: Armstrong and Getty Show. 220 00:13:00,200 --> 00:13:03,800 Speaker 4: Automated pitch callers will now allow teams to challenge the 221 00:13:03,840 --> 00:13:06,920 Speaker 4: calls of human umpires. The system has been tested in 222 00:13:06,960 --> 00:13:08,920 Speaker 4: the miners. Under the new rules, teams will get two 223 00:13:09,000 --> 00:13:10,439 Speaker 4: challenges per game, so. 224 00:13:10,360 --> 00:13:13,480 Speaker 1: I've seen the videos. They look like those Boston Electronics 225 00:13:13,520 --> 00:13:16,120 Speaker 1: or whatever things. They walk out there, they do some dancing, 226 00:13:16,360 --> 00:13:20,280 Speaker 1: and then they squat down behind the plate. That is inaccurate, sir. 227 00:13:20,520 --> 00:13:23,080 Speaker 2: No, it's just a bunch of sensors and they're going 228 00:13:23,120 --> 00:13:27,040 Speaker 2: to ease in computer well, sensor umpires instead of humans 229 00:13:27,040 --> 00:13:29,680 Speaker 2: calling balls and strikes. By doing this, you get two 230 00:13:29,960 --> 00:13:34,120 Speaker 2: pitch appeals per game and you ease in. So you 231 00:13:34,200 --> 00:13:36,160 Speaker 2: think at some point the computers will take. 232 00:13:36,040 --> 00:13:39,240 Speaker 1: Over one palls and strikes. Yeah, huh really, and they'll 233 00:13:39,280 --> 00:13:40,320 Speaker 1: just eliminate umpires. 234 00:13:41,160 --> 00:13:43,360 Speaker 2: No, the umpser will still have to be there, at 235 00:13:43,440 --> 00:13:48,240 Speaker 2: least for a while to call like foul tips, catchers, interference, 236 00:13:49,120 --> 00:13:50,960 Speaker 2: tag plays, force plays at the plate. 237 00:13:51,000 --> 00:13:53,240 Speaker 1: That's sort of thing, not balls and strikes. Correct. 238 00:13:53,320 --> 00:13:56,560 Speaker 2: Yeah, they will just stand there waiting for something to happen, 239 00:13:56,760 --> 00:13:58,400 Speaker 2: as if they're the first base umpire. 240 00:13:58,520 --> 00:14:01,079 Speaker 1: And as a as a a baseball fan, do you 241 00:14:01,080 --> 00:14:04,439 Speaker 1: think that's good or bad? Oh? 242 00:14:04,480 --> 00:14:11,240 Speaker 2: Goodness, mostly bad. Kind of a mixed bag, honestly. Several 243 00:14:11,280 --> 00:14:15,560 Speaker 2: other sports have gone to you know, electronic guys, tennis notably. 244 00:14:15,760 --> 00:14:20,560 Speaker 1: Yeah, but that makes one sense because it's either in 245 00:14:20,640 --> 00:14:23,560 Speaker 1: or out on the line. And a computer can tell. 246 00:14:23,800 --> 00:14:26,400 Speaker 1: But the whole you know, where the catcher sets up 247 00:14:26,480 --> 00:14:27,920 Speaker 1: thing and all that sort of stuff, is that. Can 248 00:14:28,000 --> 00:14:28,720 Speaker 1: the computer do that? 249 00:14:29,280 --> 00:14:33,800 Speaker 2: Well, no, we're taking that away completely. There's a geometric shape. 250 00:14:34,240 --> 00:14:38,080 Speaker 2: If the ball passes through that imaginary geometric shape, which 251 00:14:38,120 --> 00:14:40,360 Speaker 2: is the width of the plate and the batter, whatever 252 00:14:40,400 --> 00:14:43,400 Speaker 2: the strike zone actually is, if it passes through that, 253 00:14:43,440 --> 00:14:45,120 Speaker 2: it's a strike period. If it doesn't, it's a ball. 254 00:14:45,520 --> 00:14:48,160 Speaker 1: Do pitchers like that or no? 255 00:14:48,760 --> 00:14:53,120 Speaker 2: Major league insiders tell me no, because it's such a 256 00:14:53,200 --> 00:14:55,760 Speaker 2: change of the game. And I know this seems strange 257 00:14:55,800 --> 00:14:58,680 Speaker 2: to people who are either not fans or minor fans. 258 00:14:59,040 --> 00:15:03,800 Speaker 2: But if the catcher that's out like outside the plate 259 00:15:03,920 --> 00:15:05,920 Speaker 2: an intentional ball, I want you to throw a ball. 260 00:15:06,000 --> 00:15:07,400 Speaker 1: Let's see if we can get him to chase it. 261 00:15:07,560 --> 00:15:10,040 Speaker 2: And the pitcher completely misfires and the catcher has to 262 00:15:10,120 --> 00:15:12,800 Speaker 2: dive across the plate to even catch the ball. But 263 00:15:12,840 --> 00:15:15,960 Speaker 2: it catches a split you know, inch of the plate. 264 00:15:16,640 --> 00:15:19,480 Speaker 2: Nobody in baseball hitter's the catchers the picture. 265 00:15:19,600 --> 00:15:21,760 Speaker 1: Nobody wants that to be a strike, but it will 266 00:15:21,800 --> 00:15:23,680 Speaker 1: be a strike. Okay, Well I don't like it, I'm 267 00:15:23,680 --> 00:15:25,320 Speaker 1: against It doesn't make it different so I'm against it's 268 00:15:25,320 --> 00:15:29,520 Speaker 1: going to happen. But yeah, are you time Ai et cetera, 269 00:15:30,360 --> 00:15:34,040 Speaker 1: Chinese robot wolves. It's all tight in also just the 270 00:15:34,160 --> 00:15:37,760 Speaker 1: human element, I don't know. It plays part of the 271 00:15:37,800 --> 00:15:40,040 Speaker 1: whole soap opera right. As we always point out, the 272 00:15:40,120 --> 00:15:43,480 Speaker 1: goal is not to find out actually which city can 273 00:15:44,040 --> 00:15:47,520 Speaker 1: create the best baseball team temporarily rent to the best player. Yes, 274 00:15:47,600 --> 00:15:49,560 Speaker 1: it's a TV show, And what's the most exciting and 275 00:15:49,600 --> 00:15:52,440 Speaker 1: the whole You know this umpire, you know he's a 276 00:15:52,480 --> 00:15:54,960 Speaker 1: favorable umpire for this pitcher, and then they get into 277 00:15:55,040 --> 00:15:57,600 Speaker 1: arguments and stuff. That's part of the excitement of the 278 00:15:57,640 --> 00:16:00,760 Speaker 1: game that makes it up from TV show right, the drama. Right, 279 00:16:00,840 --> 00:16:03,240 Speaker 1: Oh yeah, I think that's a great point. The last 280 00:16:03,240 --> 00:16:05,600 Speaker 1: time this picture in this umpire went nose to nose, 281 00:16:05,680 --> 00:16:07,520 Speaker 1: So we'll see if that carries over into this game. 282 00:16:07,720 --> 00:16:09,600 Speaker 1: Is part of the soap opera that makes me want 283 00:16:09,640 --> 00:16:13,000 Speaker 1: to watch, right, Oh, Jones wanted that pitch. You can 284 00:16:13,240 --> 00:16:17,280 Speaker 1: see the old animosity flaring already, Jim, Nope, that's gone. 285 00:16:17,360 --> 00:16:20,480 Speaker 1: It's like writing a soap opera where every character behaves 286 00:16:20,480 --> 00:16:23,840 Speaker 1: perfectly rationally great. Enjoy it. Let's all get some puff 287 00:16:23,880 --> 00:16:27,320 Speaker 1: them and watch, Or how about if you just we'll 288 00:16:27,360 --> 00:16:29,960 Speaker 1: just all craft robots to go out and with no 289 00:16:30,080 --> 00:16:32,520 Speaker 1: people involved, robots will just play each other and they'll 290 00:16:32,560 --> 00:16:34,800 Speaker 1: all be equally good, and every call will be perfect 291 00:16:34,840 --> 00:16:37,080 Speaker 1: and a yippie. You know there's an upside. 292 00:16:37,120 --> 00:16:40,320 Speaker 2: There are crappy calls that change games and change championships, 293 00:16:40,320 --> 00:16:41,840 Speaker 2: and nobody wants that either. 294 00:16:42,440 --> 00:16:47,800 Speaker 1: But be careful what you lose when you're gaining a 295 00:16:47,840 --> 00:16:49,840 Speaker 1: little more accurate. It's been around for like one hundred 296 00:16:49,880 --> 00:16:51,760 Speaker 1: and thirty years or something. I wouldn't think you'd want 297 00:16:51,760 --> 00:16:53,480 Speaker 1: to mess with it too much and make zillions and 298 00:16:53,520 --> 00:16:58,920 Speaker 1: zillions of dollars. The Armstrong Ngetty Show, Armstrong Jack and 299 00:16:59,000 --> 00:17:01,920 Speaker 1: jar Jday will be. 300 00:17:02,120 --> 00:17:10,760 Speaker 2: Just just down'll cost you that Armstrong Jetty on the Man. 301 00:17:11,760 --> 00:17:22,920 Speaker 1: That's the podcast. Subscribe right now, guys. There's no way 302 00:17:22,960 --> 00:17:26,000 Speaker 1: to sugarcoat it. Nobody likes Democrats anymore. 303 00:17:26,359 --> 00:17:28,280 Speaker 5: We have no voters left because of all of our 304 00:17:28,320 --> 00:17:31,480 Speaker 5: woke trans volt. Not even black people want to vote 305 00:17:31,520 --> 00:17:34,560 Speaker 5: for us anymore. Even Latinos hate us. So we need 306 00:17:34,640 --> 00:17:38,920 Speaker 5: new voters. And if we give all these illegal aliens 307 00:17:38,920 --> 00:17:41,760 Speaker 5: free healthcare, we might be able to get them on 308 00:17:41,840 --> 00:17:42,320 Speaker 5: our side. 309 00:17:42,400 --> 00:17:45,280 Speaker 1: So they can vote for us. That is not actually 310 00:17:45,359 --> 00:17:48,480 Speaker 1: Chuck Schumer. That is an AI voice of the Democratic 311 00:17:48,520 --> 00:17:50,520 Speaker 1: leader of the Senate. And that was not actually Donald 312 00:17:50,520 --> 00:17:54,480 Speaker 1: Trump in a sombrero behind him playing the trumpet. I 313 00:17:54,560 --> 00:17:59,440 Speaker 1: was going to praise Schumer for his candor. King Jeffreys 314 00:17:59,520 --> 00:18:01,760 Speaker 1: was not actually wearing a sombrero with a big, giant 315 00:18:01,760 --> 00:18:06,320 Speaker 1: black mustache. Also, jd Vance did not actually say this, okay, 316 00:18:06,359 --> 00:18:07,240 Speaker 1: as does Mucco. 317 00:18:07,320 --> 00:18:11,800 Speaker 6: Simply a Democrat party is mucho ricardo. Okay, mucho ritardo, 318 00:18:12,119 --> 00:18:15,160 Speaker 6: especially at Hakimo Jeffries yel Chuck O Schumer, they are 319 00:18:15,240 --> 00:18:19,040 Speaker 6: extra ritardo. So l presidente and I cannot negotiate with 320 00:18:19,080 --> 00:18:20,480 Speaker 6: these Democrat ritardos. 321 00:18:20,960 --> 00:18:25,679 Speaker 2: Oh no, no, no, no, no, no no no, I 322 00:18:25,680 --> 00:18:26,480 Speaker 2: don't like that term. 323 00:18:26,960 --> 00:18:29,560 Speaker 1: Start otherwise, that was very funny. Started earlier in the 324 00:18:29,600 --> 00:18:33,560 Speaker 1: week with that, uh, just Schumer saying this about the Democrats, 325 00:18:33,560 --> 00:18:37,160 Speaker 1: and then there's kind of the subtle ish sombrero and mustache. 326 00:18:37,160 --> 00:18:39,840 Speaker 1: And it's grown since then and this all subtlely has 327 00:18:39,880 --> 00:18:41,719 Speaker 1: been lost and it's just completely out of control. 328 00:18:42,560 --> 00:18:46,960 Speaker 2: Well, and I love that that reporter before. Is it 329 00:18:47,080 --> 00:18:51,080 Speaker 2: helpful to post sombrero pictures when you're attempting to negotia. 330 00:18:51,200 --> 00:18:54,240 Speaker 1: Oh come on, So here's Hawkeen Jeffries, a leader of 331 00:18:54,320 --> 00:18:58,000 Speaker 1: the Democrats in the House. He just reacting to the videos. 332 00:18:58,440 --> 00:19:02,040 Speaker 7: It's a disgusting video. And we're going to continue to 333 00:19:02,040 --> 00:19:05,240 Speaker 7: make clear bigotry will get you nowhere. We are fighting 334 00:19:05,280 --> 00:19:08,800 Speaker 7: to protect the healthcare of the American people in the 335 00:19:08,840 --> 00:19:14,080 Speaker 7: face of an unprecedented Republican assault on all the things. 336 00:19:14,400 --> 00:19:19,760 Speaker 1: Menif the disgusting deal. And here's the reporter thing Joe 337 00:19:19,840 --> 00:19:20,280 Speaker 1: was mentioning. 338 00:19:20,760 --> 00:19:23,600 Speaker 8: The President's been posting some images of Leader Jeffries and 339 00:19:23,960 --> 00:19:28,280 Speaker 8: Sandra Schumer. You've said that you're interested in good faith 340 00:19:28,640 --> 00:19:31,320 Speaker 8: negotiations with these leaders. But you know what message is 341 00:19:31,400 --> 00:19:34,160 Speaker 8: that's and is it helpful to post pictures of Leader 342 00:19:34,280 --> 00:19:36,000 Speaker 8: Jeffries and sombrero if you're trying. 343 00:19:35,760 --> 00:19:39,800 Speaker 1: To have big talk to you? But yeah, you know 344 00:19:39,840 --> 00:19:42,680 Speaker 1: what it shows. It shows that we're the party that's 345 00:19:42,680 --> 00:19:45,919 Speaker 1: got a sense of humor. I'm not angry all the 346 00:19:46,000 --> 00:19:53,920 Speaker 1: time mustache. Is it helpful to post pictures of mister 347 00:19:54,000 --> 00:19:57,399 Speaker 1: Jeffries and the sombrero and giant black mustache. Well, a 348 00:19:57,440 --> 00:19:59,560 Speaker 1: whole bunch of Trumps. There's only one Trump. All five 349 00:19:59,560 --> 00:20:03,040 Speaker 1: different Trumps play trumpets and giant. 350 00:20:02,720 --> 00:20:07,439 Speaker 2: Guitars, implying some might say that there are multiple Trumps 351 00:20:07,440 --> 00:20:08,920 Speaker 2: who should run for a third term. 352 00:20:09,000 --> 00:20:11,320 Speaker 1: If there were multiple Trumps, they'd be in a mariachi band. 353 00:20:11,359 --> 00:20:17,919 Speaker 1: Is that helpful? Oh my golly. 354 00:20:18,400 --> 00:20:22,040 Speaker 2: Now it's almost kind of fun to watch, not the 355 00:20:22,840 --> 00:20:26,280 Speaker 2: really silly part of it, but the effort Hakeem jeffries 356 00:20:26,440 --> 00:20:30,879 Speaker 2: to try to get his civil rights movement. I'm outraged, 357 00:20:31,000 --> 00:20:34,520 Speaker 2: we're all fighting together, voice going, and he runs it 358 00:20:34,600 --> 00:20:37,040 Speaker 2: off the flagpole and absolutely no one salutes. 359 00:20:37,680 --> 00:20:40,120 Speaker 1: Yeah, I'll say it again. I've said it multiple times. 360 00:20:40,119 --> 00:20:43,520 Speaker 1: But the fact that the Washington Post editorial board, the 361 00:20:43,560 --> 00:20:47,120 Speaker 1: people that run the Washington Post, said the Democrats walked 362 00:20:47,119 --> 00:20:49,120 Speaker 1: into a trap on this one and that they shouldn't 363 00:20:49,119 --> 00:20:51,879 Speaker 1: have shut down the government. They should have cobbled together 364 00:20:51,920 --> 00:20:54,240 Speaker 1: to votes to go with this. So I heard it explain. 365 00:20:54,320 --> 00:20:59,080 Speaker 1: It's actually pretty good explanation. These shutdowns are dumb and 366 00:20:59,160 --> 00:21:01,600 Speaker 1: don't matter. And the last one lasted a month and 367 00:21:01,640 --> 00:21:04,200 Speaker 1: you don't even remember it happened, all right, so quit 368 00:21:04,240 --> 00:21:08,280 Speaker 1: acting like it's a big deal. But several times this happened. 369 00:21:08,600 --> 00:21:11,200 Speaker 1: Last couple of times with Republicans where like the Tea 370 00:21:11,240 --> 00:21:14,200 Speaker 1: Party did this like, we're going to show how hard 371 00:21:14,200 --> 00:21:16,359 Speaker 1: we're gonna fight. And I was on board with the 372 00:21:16,359 --> 00:21:18,399 Speaker 1: fighting and everything like that, but you just don't have 373 00:21:18,480 --> 00:21:21,240 Speaker 1: the leverage of the votes to actually make anything happen. 374 00:21:21,720 --> 00:21:24,840 Speaker 1: And Ted Cruz did it around Obamacare. He did the 375 00:21:24,920 --> 00:21:28,600 Speaker 1: law the really long what do you call it? A 376 00:21:28,920 --> 00:21:33,479 Speaker 1: filibuster And then they also wouldn't go along because they 377 00:21:33,520 --> 00:21:35,919 Speaker 1: needed his vote to avoid a shut down, and he 378 00:21:35,960 --> 00:21:39,840 Speaker 1: had no leverage to actually get anything accomplished. And that's 379 00:21:39,840 --> 00:21:44,080 Speaker 1: what the the woke progressive end of Democrats are doing. Now, 380 00:21:44,400 --> 00:21:46,240 Speaker 1: we're gonna force a shut down. Show much we fight, 381 00:21:46,280 --> 00:21:48,440 Speaker 1: but we don't actually have the leverage to do anything. 382 00:21:48,920 --> 00:21:51,359 Speaker 1: And so this has happened a couple of times, and 383 00:21:51,400 --> 00:21:54,679 Speaker 1: again nobody nobody, nobody dies, Nobody even notices it happens. 384 00:21:54,680 --> 00:21:56,719 Speaker 1: It disappears into the history books. Man, if you ever 385 00:21:56,760 --> 00:21:59,439 Speaker 1: read that history book, you are bored to death. But 386 00:21:59,520 --> 00:22:02,359 Speaker 1: speaking of jokes, here's an AI or no, this is 387 00:22:02,359 --> 00:22:04,480 Speaker 1: a comedian. This is not AI. This is a comedian 388 00:22:04,520 --> 00:22:06,080 Speaker 1: who does a good Trump voice. 389 00:22:06,720 --> 00:22:11,960 Speaker 9: Hold on me, fellow americanos cee biendonitos al Sierre de Schumer. 390 00:22:12,880 --> 00:22:16,920 Speaker 9: That means welcome to the Schumer shutown U. We call 391 00:22:16,960 --> 00:22:20,720 Speaker 9: it the Schumer Siesta, right, it's the Schumer Siesta. He 392 00:22:20,800 --> 00:22:25,639 Speaker 9: put the government on ciesta, crying Chuck and el Jakimo, 393 00:22:25,960 --> 00:22:29,160 Speaker 9: hefe Jeffreys. We used to call him Dallas store Obama 394 00:22:29,240 --> 00:22:32,720 Speaker 9: until we realize he's worth far less than a dollar. 395 00:22:33,280 --> 00:22:37,920 Speaker 9: But they put the government on siesta to give illegal 396 00:22:37,960 --> 00:22:40,320 Speaker 9: aliens your healthcare. We're not gonna let it happen. I 397 00:22:40,320 --> 00:22:42,080 Speaker 9: looked at both of them. I said, We're not gonna 398 00:22:42,160 --> 00:22:44,680 Speaker 9: let it happen. There's no boy now. I said, it's 399 00:22:44,760 --> 00:22:45,240 Speaker 9: no Boyno. 400 00:22:45,359 --> 00:22:45,920 Speaker 1: They begged me. 401 00:22:46,040 --> 00:22:50,680 Speaker 9: They said, but signor or for more, please give illegal 402 00:22:50,680 --> 00:22:53,000 Speaker 9: aliens death care. So we're not gonna do it. We're 403 00:22:53,000 --> 00:22:55,600 Speaker 9: never gonna do it. It's not gonna happen. We're going 404 00:22:55,640 --> 00:22:58,080 Speaker 9: to end the siesta. We're going to reopen the government, 405 00:22:58,520 --> 00:23:00,960 Speaker 9: and we will not give in to the demands of 406 00:23:01,560 --> 00:23:04,600 Speaker 9: Chuck and LFE. We're not going to do that. Thank you, 407 00:23:04,800 --> 00:23:09,480 Speaker 9: God bless you, Diolo Bendiga, and God bless America. 408 00:23:09,720 --> 00:23:12,280 Speaker 1: Thank you for your attention to this matter. That last 409 00:23:12,280 --> 00:23:14,199 Speaker 1: part was probably funny, but I don't speak enough Spanish 410 00:23:14,200 --> 00:23:16,360 Speaker 1: to know what he said. Yeah, I missed that one too. 411 00:23:16,600 --> 00:23:24,040 Speaker 1: Uh the uh, but please, Senor, it's pretty funny. The 412 00:23:24,080 --> 00:23:27,240 Speaker 1: funny thing is that that's only like one tick off 413 00:23:27,359 --> 00:23:32,320 Speaker 1: actual Trump. Yes, I mean, it's just barely even comedy 414 00:23:33,000 --> 00:23:35,520 Speaker 1: as opposed to the President actually saying what he was saying. 415 00:23:35,600 --> 00:23:39,719 Speaker 1: And so Trump said, I got it home word. I 416 00:23:39,760 --> 00:23:42,399 Speaker 1: grabbed it somewhere. I lost it. Trump said something funny, 417 00:23:42,400 --> 00:23:45,560 Speaker 1: but I can't remember what it was about the Democrats 418 00:23:45,600 --> 00:23:49,160 Speaker 1: hanging in this the he can't believe that they same 419 00:23:49,160 --> 00:23:52,159 Speaker 1: thing the Washington Post editorial board basically said is he 420 00:23:52,200 --> 00:23:55,040 Speaker 1: can't believe that the Democrats are allowing him to do this. 421 00:23:55,680 --> 00:23:59,080 Speaker 1: And well, in. 422 00:23:59,480 --> 00:24:04,320 Speaker 2: Trump's Russell vote, the budget chief is taking advantage of 423 00:24:04,359 --> 00:24:06,800 Speaker 2: it to try to shrink the government as fast as 424 00:24:06,800 --> 00:24:09,719 Speaker 2: he possibly can. Whether it holds up or not, nobody's 425 00:24:09,800 --> 00:24:16,320 Speaker 2: quite sure. But it's exactly what Trump and Elon Musk 426 00:24:16,359 --> 00:24:18,240 Speaker 2: and company and a lot of conservatives have been wanting 427 00:24:18,280 --> 00:24:18,679 Speaker 2: to happen. 428 00:24:18,720 --> 00:24:22,320 Speaker 1: So let it continue. That's fine. I saw. So there 429 00:24:22,400 --> 00:24:24,879 Speaker 1: was some thing in the New York Times yesterday. I 430 00:24:24,960 --> 00:24:29,160 Speaker 1: got the bulletin during the day. You're nervous. Our experts 431 00:24:29,160 --> 00:24:32,439 Speaker 1: are here to answer your questions about the shutdown. I 432 00:24:32,440 --> 00:24:35,400 Speaker 1: thought I'm not nervous. I don't have any questions. I'm 433 00:24:35,440 --> 00:24:39,320 Speaker 1: perfectly fine. It'll end like I keep saying, this afternoon 434 00:24:39,600 --> 00:24:42,320 Speaker 1: or Friday night or next Tuesday, and nobody will ever 435 00:24:42,320 --> 00:24:43,240 Speaker 1: think about it ever again. 436 00:24:43,440 --> 00:24:46,760 Speaker 2: So that was to their sizeable percentage of their listenership 437 00:24:46,800 --> 00:24:52,359 Speaker 2: that still wears COVID masks alone outdoors. Those people are scared. 438 00:24:52,359 --> 00:24:54,640 Speaker 2: They wake up scared. It makes them feel important. Wow, 439 00:24:54,680 --> 00:24:55,760 Speaker 2: I hadn't seen this. 440 00:24:56,040 --> 00:25:01,160 Speaker 1: Israel struck overnight in the Gaz strip, killed at least 441 00:25:01,200 --> 00:25:05,120 Speaker 1: thirteen Palestinians according to whoever, according to hospitals. Of course, 442 00:25:05,160 --> 00:25:07,080 Speaker 1: a lot of hospitals are just Hamas holdouts and they 443 00:25:07,080 --> 00:25:10,720 Speaker 1: call them a hospital. But anyway, Israel's continuing to blast 444 00:25:10,880 --> 00:25:14,960 Speaker 1: that area Gaza while Hamas is waiting to decide thumbs 445 00:25:15,040 --> 00:25:18,600 Speaker 1: up or thumbs down on the peace proposal, which the 446 00:25:18,680 --> 00:25:21,919 Speaker 1: deadline is this weekend. It's Thursday, now, running out of time. 447 00:25:22,400 --> 00:25:24,000 Speaker 2: Yeah, well, maybe they ought to take a hard look 448 00:25:24,040 --> 00:25:25,320 Speaker 2: at it and figure it out quick. 449 00:25:25,480 --> 00:25:30,960 Speaker 1: What do you think is gonna happen? I still think 450 00:25:32,240 --> 00:25:33,280 Speaker 1: there are only two choices. 451 00:25:33,280 --> 00:25:35,840 Speaker 2: One Hamas says, all right, we'll go along with it, 452 00:25:35,880 --> 00:25:38,600 Speaker 2: and pretends to go along with it and seeks to 453 00:25:38,640 --> 00:25:39,280 Speaker 2: do what they've. 454 00:25:39,080 --> 00:25:40,520 Speaker 1: Always thought to do as hard as they can. 455 00:25:42,320 --> 00:25:45,760 Speaker 2: Secondly, they just reject it and say we'll fight to 456 00:25:45,800 --> 00:25:47,080 Speaker 2: the deaths because they've. 457 00:25:47,280 --> 00:25:50,280 Speaker 1: Vowed martyred them over and over again. So the critics 458 00:25:50,359 --> 00:25:53,399 Speaker 1: are saying, like I saw this Peter Baker of the 459 00:25:53,440 --> 00:25:58,159 Speaker 1: New York Times, that this was basically, uh, you know, 460 00:25:58,240 --> 00:26:02,280 Speaker 1: and all or nothing for Hama proposal from the war. Yeah. 461 00:26:02,520 --> 00:26:05,080 Speaker 1: You see, one side is winning the war, and they're 462 00:26:05,080 --> 00:26:08,920 Speaker 1: gonna win the war no matter what. So they offered 463 00:26:08,960 --> 00:26:12,440 Speaker 1: to the people that they're about to completely decimate, here's 464 00:26:12,480 --> 00:26:14,280 Speaker 1: a way out if you want it. If you don't, 465 00:26:14,359 --> 00:26:16,960 Speaker 1: we're just gonna continue to do what we're doing. That's 466 00:26:17,000 --> 00:26:21,680 Speaker 1: the way most wars end. Yeah, so what like all 467 00:26:21,720 --> 00:26:23,760 Speaker 1: of them. Yeah, so they can decide to do it, 468 00:26:23,840 --> 00:26:28,399 Speaker 1: Joe said, And you know, they're uh dead enders, so 469 00:26:28,440 --> 00:26:29,960 Speaker 1: they might say, you know, we're gonna go ahead and 470 00:26:30,000 --> 00:26:31,520 Speaker 1: fight to the death because they don't care if they 471 00:26:31,600 --> 00:26:33,520 Speaker 1: take all the Palestinians with them, doesn't matter to them. 472 00:26:33,520 --> 00:26:35,520 Speaker 1: In fact, they think that would be great. Oh yeah. 473 00:26:35,640 --> 00:26:38,000 Speaker 2: In fact, they're gonna fight as long as they can 474 00:26:38,040 --> 00:26:40,400 Speaker 2: and have as many civilians die as possible to hope 475 00:26:40,400 --> 00:26:44,199 Speaker 2: that the world opinion turns against Israel, because it already 476 00:26:44,200 --> 00:26:46,480 Speaker 2: has to some extent. So yeah, that's probably the most 477 00:26:46,560 --> 00:26:48,960 Speaker 2: likely scenario. But the idea that you know, the Peter 478 00:26:49,040 --> 00:26:50,720 Speaker 2: Baker's of the world, and he's a bright enough guy, 479 00:26:50,720 --> 00:26:52,760 Speaker 2: but my god, you're holding Israel to a standard that 480 00:26:52,800 --> 00:26:56,159 Speaker 2: has never existed in warfare in the history of the world. 481 00:26:56,920 --> 00:27:01,879 Speaker 2: You've just invented this special new one for his The Armstrong. 482 00:27:01,359 --> 00:27:04,719 Speaker 1: And Getty Show. Yeah, more Jack, your show, podcasts and 483 00:27:04,840 --> 00:27:09,760 Speaker 1: our hot links Armstrong and Yetty Show. 484 00:27:12,920 --> 00:27:17,040 Speaker 2: From the Department of Why does nobody recognize we're driving 485 00:27:17,040 --> 00:27:18,640 Speaker 2: toward a cliff at one hundred miles per hour? 486 00:27:18,800 --> 00:27:19,560 Speaker 1: Yeah. 487 00:27:19,640 --> 00:27:22,720 Speaker 2: Alicia Finley of The Wall Street Journal pointing out that 488 00:27:23,080 --> 00:27:27,960 Speaker 2: America's buy now, pay later economy is showing signs of 489 00:27:27,960 --> 00:27:29,919 Speaker 2: an emerging debt crisis everywhere. 490 00:27:29,960 --> 00:27:32,520 Speaker 1: I don't like this story. I'm not doing that. I'm 491 00:27:32,560 --> 00:27:34,639 Speaker 1: a I don't buy it until like an afford it 492 00:27:34,640 --> 00:27:38,679 Speaker 1: sort of guy. But we all get brought down by 493 00:27:38,720 --> 00:27:41,600 Speaker 1: a financial collapse. We all realize that, right right. The 494 00:27:41,600 --> 00:27:44,000 Speaker 1: word inclusive is very hot these days. There certainly was 495 00:27:44,040 --> 00:27:46,240 Speaker 1: a couple of years ago. That's the brilliant thing about 496 00:27:46,280 --> 00:27:51,280 Speaker 1: a financial crash. It includes virtually everybody. Yeah, misery. So anyway, 497 00:27:51,359 --> 00:27:51,760 Speaker 1: so she. 498 00:27:51,800 --> 00:27:55,280 Speaker 2: Points out that a serious credit card and auto loan 499 00:27:55,320 --> 00:27:58,600 Speaker 2: delinquencies have climbed to the level of the twenty eighth 500 00:27:58,680 --> 00:27:59,560 Speaker 2: nine recession. 501 00:28:00,320 --> 00:28:05,000 Speaker 1: Okay, so rousing right after that giant crashes. Not surprising 502 00:28:05,960 --> 00:28:08,520 Speaker 1: that lots of people all of a sudden were in 503 00:28:08,560 --> 00:28:10,679 Speaker 1: trouble and not quite making their payments on time and 504 00:28:10,720 --> 00:28:11,439 Speaker 1: that sort of stuff. 505 00:28:11,440 --> 00:28:18,480 Speaker 2: What is the reason now? Nobody's sure we like spending money, 506 00:28:19,440 --> 00:28:22,320 Speaker 2: she says. The housing market shows cracks. Well, the labor 507 00:28:22,359 --> 00:28:24,679 Speaker 2: market is weakening, but you wouldn't know it from the 508 00:28:24,720 --> 00:28:29,000 Speaker 2: point stock market and consumer spending. America is buy now, 509 00:28:29,119 --> 00:28:35,520 Speaker 2: pay later economy and at increasingly fueled by leverage. As consumers, investors, businesses, 510 00:28:35,640 --> 00:28:39,320 Speaker 2: and the government are all taking on more debt, which 511 00:28:39,360 --> 00:28:42,640 Speaker 2: she points out, and there's always one person like this 512 00:28:42,760 --> 00:28:45,040 Speaker 2: at the party, she points out, you have to pay 513 00:28:45,080 --> 00:28:46,960 Speaker 2: for debt later with interest. 514 00:28:47,120 --> 00:28:51,840 Speaker 1: Thank you for that. What a drag man. As Americans 515 00:28:51,880 --> 00:28:54,320 Speaker 1: max out their credit cards after years of inflation, buy now, 516 00:28:54,400 --> 00:28:58,480 Speaker 1: pay later offers are popping up everywhere, from concert tickets 517 00:28:59,080 --> 00:29:03,800 Speaker 1: to vacations to grocery stores. Boy oh, boil boil Boy. 518 00:29:03,920 --> 00:29:07,120 Speaker 1: I could see how it'd be appealing if I'm twenty 519 00:29:07,120 --> 00:29:10,800 Speaker 1: one year old Jack and they'll never tour again or whatever. 520 00:29:11,200 --> 00:29:15,280 Speaker 1: It's their farewell tour man to not buy your concert 521 00:29:15,320 --> 00:29:18,480 Speaker 1: tickets on I can't afford it now, but I'll magically 522 00:29:18,560 --> 00:29:22,120 Speaker 1: have more money six months from now. No, don't do that, 523 00:29:23,000 --> 00:29:23,360 Speaker 1: I guess. 524 00:29:23,360 --> 00:29:25,800 Speaker 2: There are now apps where you can split the cost 525 00:29:25,840 --> 00:29:29,200 Speaker 2: of your purchases into installment payments over weeks or months. 526 00:29:29,200 --> 00:29:34,640 Speaker 2: Some are currently interest free for now. Just to include fees. 527 00:29:34,680 --> 00:29:37,200 Speaker 1: Here's what you do. You borrow against your used car. 528 00:29:37,400 --> 00:29:39,360 Speaker 1: Is that still a thing that people are doing where 529 00:29:39,400 --> 00:29:42,600 Speaker 1: you take out equity from your used car? Yees? Right? 530 00:29:43,840 --> 00:29:46,600 Speaker 2: Yeah, And unlike credit cards, a lot of these services 531 00:29:46,640 --> 00:29:50,000 Speaker 2: don't report the loans to the credit bureaus. So folks 532 00:29:50,080 --> 00:29:53,720 Speaker 2: are in much more debt than their credit rating might indicate. 533 00:29:53,880 --> 00:29:58,400 Speaker 2: But so these all these different entities that are giving 534 00:29:58,440 --> 00:30:00,840 Speaker 2: people these deals must feel like they're going to get 535 00:30:00,840 --> 00:30:01,400 Speaker 2: paid back. 536 00:30:02,560 --> 00:30:05,280 Speaker 1: Oh yeah, yeah, certainly in the short term. 537 00:30:06,400 --> 00:30:10,560 Speaker 2: And they have carefully calculated their default rates and you know, 538 00:30:10,680 --> 00:30:14,760 Speaker 2: price their services excuse me accordingly. And you know, if 539 00:30:14,760 --> 00:30:16,920 Speaker 2: somebody ends up not being able to pay, they just 540 00:30:16,960 --> 00:30:18,520 Speaker 2: put them their name on the blacklist. 541 00:30:18,960 --> 00:30:23,520 Speaker 1: Boy, my oldest son has got a life lesson coming on. 542 00:30:24,720 --> 00:30:26,520 Speaker 1: I don't even remember what it was now, it's been 543 00:30:26,560 --> 00:30:28,840 Speaker 1: so long, and something he really really wanted and kind 544 00:30:28,880 --> 00:30:31,040 Speaker 1: of fronted him, the monk kind of fronted him the 545 00:30:31,040 --> 00:30:33,320 Speaker 1: money on that, with the idea that you will owe 546 00:30:33,320 --> 00:30:34,880 Speaker 1: me and I will be keeping track of it, and 547 00:30:35,200 --> 00:30:37,040 Speaker 1: I have been keeping track of it, and he still 548 00:30:37,080 --> 00:30:40,360 Speaker 1: owes me. And Christmas might just be here. I've wiped 549 00:30:40,400 --> 00:30:44,600 Speaker 1: off hot half your debt. Merry Christmas. That would be 550 00:30:44,640 --> 00:30:47,280 Speaker 1: a lesson how that old thing works. That would be 551 00:30:47,440 --> 00:30:50,680 Speaker 1: a great gift in a way. Yeah, sure, not to 552 00:30:50,720 --> 00:30:52,480 Speaker 1: be appreciated at the time. 553 00:30:54,160 --> 00:30:57,280 Speaker 2: According to recent survey, about half of consumers have used 554 00:30:57,280 --> 00:31:00,719 Speaker 2: a buy now, pay later service niche. 555 00:31:00,760 --> 00:31:05,400 Speaker 1: This is half I've reskewed toward the young concert tickets, 556 00:31:05,440 --> 00:31:10,080 Speaker 1: your vacation. I mean, everybody kind of does that a vacation, right, 557 00:31:10,120 --> 00:31:12,000 Speaker 1: because you put everything on your credit card, whether you 558 00:31:12,040 --> 00:31:14,640 Speaker 1: pay it off that month or over a couple of months. 559 00:31:14,640 --> 00:31:16,920 Speaker 1: Good point. Yeah, let's see. 560 00:31:16,960 --> 00:31:20,040 Speaker 2: Federal Reserve paper last December found such users are more 561 00:31:20,160 --> 00:31:22,080 Speaker 2: likely to have low credit scores, carry of balance on 562 00:31:22,120 --> 00:31:26,880 Speaker 2: credit cards have incurred, checking overdraft fees and have more 563 00:31:26,920 --> 00:31:33,960 Speaker 2: delinquent credit accounts, financially vulnerable consumers maybe over extending themselves. 564 00:31:35,160 --> 00:31:40,320 Speaker 2: And let's see the one of the bigger buy now, 565 00:31:40,360 --> 00:31:43,640 Speaker 2: pay later services announced an IPO, which is expected to 566 00:31:43,640 --> 00:31:46,840 Speaker 2: be one of the biggest of the year. Such services 567 00:31:46,880 --> 00:31:50,280 Speaker 2: make money by capitalizing on financially stretched consumers, especially young 568 00:31:50,360 --> 00:31:54,480 Speaker 2: people who don't want to tighten their belts. 569 00:31:55,880 --> 00:32:01,160 Speaker 1: Wow. According to the Babylon b As we told you, 570 00:32:01,200 --> 00:32:03,880 Speaker 1: the Social Security Administration is going to be renamed the 571 00:32:04,000 --> 00:32:08,440 Speaker 1: Charles Ponzi Memorial Retirement Plan, which I like. That is great. 572 00:32:09,120 --> 00:32:12,800 Speaker 1: The Department of Justice will be changed to the Department 573 00:32:12,840 --> 00:32:15,240 Speaker 1: of Revenge and all losers and haters. I don't think 574 00:32:15,280 --> 00:32:20,920 Speaker 1: that's appropriate, ah, and yet somewhat accurate in these days 575 00:32:20,920 --> 00:32:22,680 Speaker 1: of law. Fair this is the one that hurts. The 576 00:32:22,680 --> 00:32:26,240 Speaker 1: Department of the Treasury will be changed to the Chinese 577 00:32:26,280 --> 00:32:35,200 Speaker 1: Loan Office. Oooh oh. One more that I liked, how 578 00:32:35,920 --> 00:32:39,200 Speaker 1: Housing and Urban Development will retitle is Department of the Pores, 579 00:32:41,360 --> 00:32:46,440 Speaker 1: the the coorse. Wow. By the way, we got a 580 00:32:46,480 --> 00:32:48,560 Speaker 1: text from somebody who said they always appreciate when I 581 00:32:48,600 --> 00:32:51,280 Speaker 1: do my porky pig routine. Not being able to pronounce 582 00:32:51,320 --> 00:32:51,760 Speaker 1: a work. 583 00:32:54,040 --> 00:32:56,400 Speaker 2: Hey, I got another statistic for you. That's enough fun. 584 00:32:56,480 --> 00:32:57,360 Speaker 2: Back to the misery. 585 00:32:57,640 --> 00:33:05,000 Speaker 1: So in twenty twelve, mortgage you know holders had debt 586 00:33:05,040 --> 00:33:09,400 Speaker 1: to income ratios considered risky. Right, twenty eight percent of 587 00:33:09,480 --> 00:33:14,080 Speaker 1: people had a debt to income ratio that was pretty risky. 588 00:33:14,120 --> 00:33:22,239 Speaker 1: Twenty eight percent. Last year sixty nine percent. Oh my god, man, 589 00:33:22,320 --> 00:33:25,200 Speaker 1: Freddy mckew was thirty eight percent, up from sixteen percent 590 00:33:25,240 --> 00:33:29,360 Speaker 1: in twenty twelve. Seven out of ten of yea, yeah, 591 00:33:29,400 --> 00:33:31,840 Speaker 1: I don't think I do have a risky debt to 592 00:33:33,720 --> 00:33:34,560 Speaker 1: income ratio. 593 00:33:35,080 --> 00:33:37,360 Speaker 2: And if I haven't driven you to buy gold and 594 00:33:37,400 --> 00:33:39,800 Speaker 2: bury it in your backyards yet, how much? How about 595 00:33:39,840 --> 00:33:45,560 Speaker 2: one more? The FAHA Federal Housing Association. We have a 596 00:33:45,600 --> 00:33:48,280 Speaker 2: fancy new name for them from the Babylon by too Bad. 597 00:33:48,760 --> 00:33:51,520 Speaker 2: They've waived or reduced monthly payments on one point two 598 00:33:51,640 --> 00:33:54,520 Speaker 2: million mortgages over the past two years. It's about fifteen 599 00:33:54,560 --> 00:33:57,600 Speaker 2: percent of the total that they hold, and without that 600 00:33:57,800 --> 00:34:02,040 Speaker 2: forgiveness passed during the Biden administry, delinquencies would be near 601 00:34:02,120 --> 00:34:06,440 Speaker 2: the level of the twenty eight to nine meltdown. Fanny 602 00:34:06,480 --> 00:34:08,759 Speaker 2: and Freddie have also been slashing in deferring payments on 603 00:34:08,880 --> 00:34:10,920 Speaker 2: hundreds of thousands of mortgages. 604 00:34:11,760 --> 00:34:15,319 Speaker 1: So I go into my son's room last night to 605 00:34:15,480 --> 00:34:19,000 Speaker 1: talk to him, which is one of the groovyest high 606 00:34:19,040 --> 00:34:21,319 Speaker 1: schooler bedrooms I've ever seen in my life. He's put 607 00:34:21,360 --> 00:34:23,719 Speaker 1: a lot of effort into it, and it's very cool 608 00:34:24,040 --> 00:34:26,000 Speaker 1: and dark. It's always very dark in there. But anyway, 609 00:34:26,040 --> 00:34:28,319 Speaker 1: I go into my high schooler's room last night and 610 00:34:28,520 --> 00:34:30,680 Speaker 1: did not smell pleasant. I said, what is the deal 611 00:34:30,719 --> 00:34:34,480 Speaker 1: in here? As sex? And he must have taken that 612 00:34:34,520 --> 00:34:38,359 Speaker 1: to heart, because now the entire house smells like high 613 00:34:38,400 --> 00:34:42,120 Speaker 1: school boy cologne. And I said, what did you do? 614 00:34:42,200 --> 00:34:43,719 Speaker 1: And he said, well, used to sit at smell bed 615 00:34:43,800 --> 00:34:45,919 Speaker 1: So I sprayed around some of my cologne. I thought 616 00:34:45,960 --> 00:34:51,120 Speaker 1: that would help some of your colone. Oh, it smells 617 00:34:51,200 --> 00:34:54,520 Speaker 1: like you're on a date with four high school sophomore 618 00:34:54,560 --> 00:34:58,240 Speaker 1: boys right now in my house. Wow, way too much, 619 00:34:58,880 --> 00:35:03,200 Speaker 1: way too much. Hortant to ascertain the source of the funk. First, 620 00:35:04,080 --> 00:35:05,680 Speaker 1: it's not funny, I don't I don't know what it 621 00:35:05,760 --> 00:35:08,200 Speaker 1: is about the scent, but it just it smells like 622 00:35:08,480 --> 00:35:10,520 Speaker 1: if you had to name the smell, you'd say, I'm 623 00:35:10,600 --> 00:35:13,440 Speaker 1: on a date with a boy who's about old enough 624 00:35:13,440 --> 00:35:16,320 Speaker 1: to get his driver's license. That's what it smells like, 625 00:35:16,920 --> 00:35:23,200 Speaker 1: its own scent. You wow, acts bedroom spray or something 626 00:35:23,280 --> 00:35:26,120 Speaker 1: like that. Yikes. Among the story, I hope you bought 627 00:35:26,120 --> 00:35:27,880 Speaker 1: it for cash and didn't borrow them on here, you know, 628 00:35:27,920 --> 00:35:31,600 Speaker 1: break up the pace. It's the arm Strong and Getty Show. 629 00:35:32,040 --> 00:35:40,840 Speaker 1: Arm Strong, Armstrong,