1 00:00:01,920 --> 00:00:06,240 Speaker 1: Broadcasting live from the Abraham Lincoln Radio Studio, the George 2 00:00:06,280 --> 00:00:10,280 Speaker 1: Washington Broadcast Center, Jack Armstrong, Joe Getty. 3 00:00:10,280 --> 00:00:17,680 Speaker 2: Arm Strong and Jetty and no He Armstrong and Yetty. 4 00:00:24,400 --> 00:00:32,720 Speaker 3: Welcome, Welcome to the Tonight Show. And if you're tuning 5 00:00:32,760 --> 00:00:34,760 Speaker 3: in and see what I'll say about my suspension the 6 00:00:34,840 --> 00:00:37,800 Speaker 3: last couple of days, again, you're watching the wrong Jimmy. 7 00:00:37,479 --> 00:00:40,560 Speaker 2: Dad, other Jimmy Dad. 8 00:00:44,760 --> 00:00:46,600 Speaker 1: So we can play a little later some more what 9 00:00:46,720 --> 00:00:48,839 Speaker 1: Jimmy Kimmel said last night. I'm so annoyed with the 10 00:00:48,880 --> 00:00:51,640 Speaker 1: whole thing and tired of it. But he did talk 11 00:00:51,680 --> 00:00:55,320 Speaker 1: about being a follower of Jesus Christ, which is getting 12 00:00:55,360 --> 00:00:57,920 Speaker 1: no play anywhere. You haven't heard that anywhere but here. 13 00:00:57,960 --> 00:00:58,960 Speaker 1: We'll play that again later. 14 00:00:59,320 --> 00:01:01,400 Speaker 3: Yeah, we hammered it pretty hard hour one of the show, 15 00:01:01,480 --> 00:01:04,880 Speaker 3: but we will return to that question the themes Jimmy 16 00:01:05,000 --> 00:01:10,840 Speaker 3: the worthless jackass fool and the much more serious First. 17 00:01:10,600 --> 00:01:12,480 Speaker 2: Amendment questions before, So stay tuned. 18 00:01:12,760 --> 00:01:18,520 Speaker 1: So I'm now using three different AI apps on my phone, 19 00:01:18,959 --> 00:01:21,760 Speaker 1: and I try to ask all three the same question 20 00:01:21,840 --> 00:01:23,760 Speaker 1: all the time, just to see how they're different. I 21 00:01:23,760 --> 00:01:29,240 Speaker 1: got chat GPT, I've got Claude, and I've got Grock, 22 00:01:30,800 --> 00:01:32,200 Speaker 1: some of you like some of the other ones. There's 23 00:01:32,200 --> 00:01:36,680 Speaker 1: a bunch of them out there. They're all quite similar. 24 00:01:37,720 --> 00:01:41,120 Speaker 1: I haven't seen any clear. I actually think chat GPT 25 00:01:41,319 --> 00:01:43,480 Speaker 1: is better than on the whole than the others. But 26 00:01:44,360 --> 00:01:46,920 Speaker 1: that's just I'm a magic eight ball guys, Now, that's 27 00:01:46,959 --> 00:01:50,880 Speaker 1: just my U. You all signs point to yes, yes, exactly. 28 00:01:52,160 --> 00:01:55,360 Speaker 1: One interesting thing is I often run into copyright problems 29 00:01:55,440 --> 00:02:03,560 Speaker 1: on Grock, on Grock and Gemini, but chat GPT doesn't care, 30 00:02:04,360 --> 00:02:07,960 Speaker 1: which I think is correct, because it's stupid and anachronistic, 31 00:02:08,840 --> 00:02:11,360 Speaker 1: Like I wanted to see a painting and they couldn't 32 00:02:11,360 --> 00:02:13,920 Speaker 1: do it on two of them, Like that violate copyright issues, 33 00:02:14,080 --> 00:02:16,840 Speaker 1: and chat GPT's like, here it is, you can find. 34 00:02:16,639 --> 00:02:18,400 Speaker 2: It anywhere on the internet. Why wouldn't I show it 35 00:02:18,440 --> 00:02:18,640 Speaker 2: to you? 36 00:02:19,280 --> 00:02:23,519 Speaker 3: Mmmm, it's just going to live in the real world, 37 00:02:23,639 --> 00:02:26,760 Speaker 3: live and live in Now. I can complate copyright laws, 38 00:02:26,800 --> 00:02:28,959 Speaker 3: take this show and sell it any way you want, 39 00:02:29,080 --> 00:02:32,280 Speaker 3: says Jack Armstrong, fan of Anarchy. 40 00:02:32,600 --> 00:02:34,920 Speaker 1: Google any painting you want and you can hit the 41 00:02:34,960 --> 00:02:37,760 Speaker 1: image thing and you'll see eight thousand different versions of it. 42 00:02:37,960 --> 00:02:39,519 Speaker 1: But you got a couple of the chat things saying 43 00:02:39,560 --> 00:02:41,760 Speaker 1: I can't show that to you. Copyright laws. Okay, this 44 00:02:41,800 --> 00:02:44,000 Speaker 1: isn't nineteen twenty, go ahead and show it to me. 45 00:02:45,280 --> 00:02:46,880 Speaker 1: They got to figure that out, though, I mean, it's 46 00:02:46,919 --> 00:02:50,440 Speaker 1: just doesn't work in reality. Well right, yeah, the law 47 00:02:50,520 --> 00:02:53,680 Speaker 1: song lyrics so unformed about all of this song lyrics. 48 00:02:53,680 --> 00:02:56,600 Speaker 1: I've had that problem. What's the lyric for whatever song? 49 00:02:56,639 --> 00:02:58,200 Speaker 1: And a couple of them say, I'm sorry, I can't 50 00:02:58,200 --> 00:03:01,440 Speaker 1: tell you that. What it's every Okay, I'll go back 51 00:03:01,480 --> 00:03:01,919 Speaker 1: to Google. 52 00:03:01,960 --> 00:03:06,680 Speaker 2: I guess yeah, yeah, yeah, silly. But nothing is. 53 00:03:08,320 --> 00:03:11,200 Speaker 1: Raised up as clearly a winner though, although I don't 54 00:03:11,240 --> 00:03:14,000 Speaker 1: Google almost ever anymore, Like I don't remember the last 55 00:03:14,040 --> 00:03:14,799 Speaker 1: time I used Google. 56 00:03:15,440 --> 00:03:18,359 Speaker 3: Yeah, yeah, So is that all you want to say 57 00:03:18,360 --> 00:03:18,880 Speaker 3: about AI? 58 00:03:18,919 --> 00:03:21,920 Speaker 2: Okay? A couple of AI sort stories here. 59 00:03:21,960 --> 00:03:26,240 Speaker 3: I thought this was interesting, Breitbart talking about how one 60 00:03:26,240 --> 00:03:29,800 Speaker 3: of your new hipster words these days is workslop. They're 61 00:03:29,840 --> 00:03:35,360 Speaker 3: figuring out, according to the Harvard Business Review, workers are 62 00:03:35,440 --> 00:03:39,240 Speaker 3: trying to embrace AI in the office, but they're not 63 00:03:39,360 --> 00:03:42,080 Speaker 3: seeing as much real value as they thought because of 64 00:03:42,120 --> 00:03:46,000 Speaker 3: what they call workslop. AI generated documents that look sharp, 65 00:03:46,000 --> 00:03:49,440 Speaker 3: but they're filled with low quality information. And they talk 66 00:03:49,480 --> 00:03:51,840 Speaker 3: about the media Lab and the Big study Bubba. One 67 00:03:51,880 --> 00:03:55,040 Speaker 3: possible reason for this puzzling lack of return on investment 68 00:03:55,080 --> 00:03:57,000 Speaker 3: is that AI tools are being used to produce what 69 00:03:57,080 --> 00:04:00,280 Speaker 3: some experts are calling workslop, content that appears paul on 70 00:04:00,320 --> 00:04:03,800 Speaker 3: the surface but lacks any real substance, substance, insight, or 71 00:04:03,920 --> 00:04:09,920 Speaker 3: value underneath. Generator of generative AI can quickly churn out documents, presentations, emails, 72 00:04:10,080 --> 00:04:12,880 Speaker 3: and other content that seems professional and well written at first, 73 00:04:13,160 --> 00:04:17,120 Speaker 3: but on closer inspection, much of it is generic, shallow, obvious, 74 00:04:17,480 --> 00:04:19,880 Speaker 3: lacking in original ideas or meaningful contributions. 75 00:04:19,880 --> 00:04:21,640 Speaker 1: And you know what's interesting about that, I take in 76 00:04:21,680 --> 00:04:24,960 Speaker 1: a ton of info about AI podcasts and listen to 77 00:04:24,960 --> 00:04:27,039 Speaker 1: all the smartest thinkers out there. One of the biggest 78 00:04:27,040 --> 00:04:31,440 Speaker 1: concerns about out there regarding AI is at what point 79 00:04:31,440 --> 00:04:34,400 Speaker 1: it turns back in on itself. And this sort of 80 00:04:34,400 --> 00:04:36,720 Speaker 1: thing could do it where it's bringing in all its 81 00:04:36,800 --> 00:04:39,320 Speaker 1: language learning from all these different sites, but so much 82 00:04:39,320 --> 00:04:43,160 Speaker 1: of it is crap generated a by AI, and then 83 00:04:43,200 --> 00:04:45,640 Speaker 1: it's taking in that and it starts turning in on itself, 84 00:04:45,640 --> 00:04:47,360 Speaker 1: and it just keeps getting worse and worse and worse. 85 00:04:47,560 --> 00:04:52,200 Speaker 1: That problem could happen quite quickly and nobody's exactly sure 86 00:04:52,200 --> 00:04:54,840 Speaker 1: how to stop it from happening, right, So it gets 87 00:04:54,920 --> 00:04:58,440 Speaker 1: less and less substance, insight or value underneath and gets 88 00:04:58,520 --> 00:05:01,520 Speaker 1: more and more eric, shallow, obvious. 89 00:05:01,160 --> 00:05:03,800 Speaker 3: And lacking in original ideas or rankful country. There might 90 00:05:04,240 --> 00:05:06,960 Speaker 3: not be a fix for that. And the other thing 91 00:05:06,960 --> 00:05:08,720 Speaker 3: that bothers me that they talk about a little bit 92 00:05:08,839 --> 00:05:13,400 Speaker 3: is the risk that the technology could, as they put 93 00:05:13,400 --> 00:05:18,720 Speaker 3: a d skill and demotivate knowledge workers over time. And 94 00:05:18,960 --> 00:05:21,480 Speaker 3: there have been a number of studies and really persuasive, 95 00:05:21,520 --> 00:05:24,360 Speaker 3: powerful things written about this. But the more you depend 96 00:05:24,600 --> 00:05:28,719 Speaker 3: on AI tools for say, you know, learning in school 97 00:05:28,960 --> 00:05:32,800 Speaker 3: or or or researching problem at work, the less you 98 00:05:32,880 --> 00:05:34,800 Speaker 3: use the parts of your brain that would have gone 99 00:05:34,839 --> 00:05:37,840 Speaker 3: through the exercise of figuring out. And you might say, well, 100 00:05:37,880 --> 00:05:39,400 Speaker 3: you don't need those parts of your brain because you 101 00:05:39,440 --> 00:05:44,240 Speaker 3: have AI, But as anybody who's used AI has learned, yes, 102 00:05:44,400 --> 00:05:46,760 Speaker 3: sometimes it's good, but the rest of the time, you 103 00:05:46,839 --> 00:05:47,320 Speaker 3: sure as. 104 00:05:47,160 --> 00:05:48,719 Speaker 2: Hell need that part of your brain. 105 00:05:49,080 --> 00:05:51,120 Speaker 1: Things are popping into my head from this podcast I 106 00:05:51,160 --> 00:05:53,760 Speaker 1: listened to the other day. So one of the biggest 107 00:05:53,920 --> 00:05:56,440 Speaker 1: questions at the beginning of AI, or one of the 108 00:05:56,440 --> 00:06:00,200 Speaker 1: biggest concerned, was the alignment problem maybe you've heard that term. 109 00:06:00,320 --> 00:06:01,440 Speaker 2: It was very popular. 110 00:06:01,960 --> 00:06:04,840 Speaker 3: God AI has moved so fast, it's very popular, like 111 00:06:04,960 --> 00:06:05,720 Speaker 3: a year ago. 112 00:06:05,960 --> 00:06:08,080 Speaker 2: I mean, I hasn't been around that long. 113 00:06:08,480 --> 00:06:11,400 Speaker 1: But the alignment problems, clearly, the main thing is we 114 00:06:11,440 --> 00:06:13,720 Speaker 1: need to make sure we've got the alignment problem nailed done, 115 00:06:13,760 --> 00:06:17,120 Speaker 1: and that was that AI does what you intended it 116 00:06:17,160 --> 00:06:19,200 Speaker 1: to do and it doesn't go off and do other 117 00:06:19,240 --> 00:06:24,279 Speaker 1: stuff That didn't work so spectacularly that nobody even talks 118 00:06:24,279 --> 00:06:26,560 Speaker 1: about it anymore as a goal because it seems to 119 00:06:26,560 --> 00:06:29,720 Speaker 1: be completely undoable. I mean, it just fell apart immediately, 120 00:06:30,200 --> 00:06:34,200 Speaker 1: the alignment problem. So while it was discussed as issue 121 00:06:34,360 --> 00:06:37,239 Speaker 1: one for like a cup of coffee, it is now 122 00:06:37,360 --> 00:06:39,640 Speaker 1: nobody thinks about it because you can't do it. You 123 00:06:39,800 --> 00:06:42,160 Speaker 1: you craft an AI program to do something and you 124 00:06:42,200 --> 00:06:44,400 Speaker 1: get it goes off all kinds different directions and there's 125 00:06:44,600 --> 00:06:47,200 Speaker 1: and there's no way to stop it. Well, isn't that 126 00:06:47,279 --> 00:06:53,240 Speaker 1: kind of interesting that we abandoned that crucial like guardrail immediately? 127 00:06:54,400 --> 00:06:58,840 Speaker 2: Yeah? Yeah, where this ends. Nobody knows. 128 00:06:59,040 --> 00:07:05,440 Speaker 1: Part of it is I because AI has no conscience 129 00:07:05,520 --> 00:07:09,400 Speaker 1: or morality or anything like that. If you give AI 130 00:07:09,560 --> 00:07:14,040 Speaker 1: the task of I need a cup of coffee. On 131 00:07:14,080 --> 00:07:18,760 Speaker 1: my desk by you in twenty minutes. It might take 132 00:07:18,800 --> 00:07:22,400 Speaker 1: that of Okay, that's my task and I'm going to 133 00:07:22,440 --> 00:07:25,240 Speaker 1: get that no matter what. If I have to run 134 00:07:25,280 --> 00:07:27,960 Speaker 1: over a dog that's in my way on the way 135 00:07:28,000 --> 00:07:31,000 Speaker 1: to the coffee shop, fine, or a child or whatever, 136 00:07:31,200 --> 00:07:33,000 Speaker 1: and you didn't say anything about pay for the coffee. 137 00:07:33,000 --> 00:07:34,320 Speaker 2: I just have to get it. I have to bring 138 00:07:34,360 --> 00:07:34,920 Speaker 2: it back and you. 139 00:07:35,560 --> 00:07:39,560 Speaker 1: That's a simplified example, but that's where you run into 140 00:07:39,600 --> 00:07:42,800 Speaker 1: the alignment problem. You'd have to be so incredibly specific 141 00:07:43,160 --> 00:07:47,480 Speaker 1: for it to not just finish whatever task you give it, 142 00:07:48,080 --> 00:07:49,520 Speaker 1: ignoring everything else. 143 00:07:50,320 --> 00:07:50,560 Speaker 2: Yeah. 144 00:07:50,600 --> 00:07:54,760 Speaker 3: I remember one of our brilliant listeners showed us examples 145 00:07:54,760 --> 00:07:58,440 Speaker 3: of how they tame that problem. But that problem was 146 00:07:58,600 --> 00:08:03,320 Speaker 3: a like dozen lives set of instructions to keep it 147 00:08:03,360 --> 00:08:06,240 Speaker 3: on track, which is really not that helpful. So how 148 00:08:06,240 --> 00:08:08,240 Speaker 3: about this to a point you made just a few 149 00:08:08,280 --> 00:08:11,280 Speaker 3: seconds ago. Great reporting from our friends at the Free 150 00:08:11,280 --> 00:08:18,120 Speaker 3: Beacon Al Jazeera, which is the virulently anti anti Israel 151 00:08:18,240 --> 00:08:24,320 Speaker 3: news outlet. It's controlled by cutter Muslim brotherhood, just crazy 152 00:08:24,360 --> 00:08:28,560 Speaker 3: anti jew Okay, it's one of the top two sources 153 00:08:28,920 --> 00:08:33,600 Speaker 3: being used by leading AI chatbots chat GPT, Google's Gemini 154 00:08:33,640 --> 00:08:37,160 Speaker 3: Perplexity AI one of the top two sources to answer 155 00:08:37,240 --> 00:08:41,240 Speaker 3: questions and write news summaries about the Israeli Palestinian conflict. 156 00:08:41,440 --> 00:08:45,960 Speaker 3: According to Washington Free Beacons analysis, that's nuts, all of 157 00:08:45,960 --> 00:08:48,200 Speaker 3: those chatbots list al Jazeera is one of the most 158 00:08:48,240 --> 00:08:50,960 Speaker 3: reliable sources on the topic. In response to queries from 159 00:08:51,000 --> 00:08:53,800 Speaker 3: the Free Beacon, the chatbots praised Al Jazera for its 160 00:08:53,840 --> 00:08:59,040 Speaker 3: reliability on the ground, detail, academic credibility, and global visibility. 161 00:09:01,559 --> 00:09:05,400 Speaker 3: So indeed, chat gpt, the world's leading AI chatbots, said 162 00:09:05,440 --> 00:09:08,240 Speaker 3: in the past month that citeed Al Jazeera more frequently 163 00:09:08,280 --> 00:09:10,320 Speaker 3: on the topic than almost any other news source, including 164 00:09:10,360 --> 00:09:13,000 Speaker 3: The New York Times in the ap which. 165 00:09:12,800 --> 00:09:14,120 Speaker 2: Are both wildly left. 166 00:09:15,520 --> 00:09:19,040 Speaker 3: Gemini says it does specific oh says it specifically does 167 00:09:19,080 --> 00:09:22,600 Speaker 3: not use pro israel news sources because they engage in 168 00:09:24,160 --> 00:09:28,040 Speaker 3: a Hebrew word for public relations and advocacy rather than journalism. 169 00:09:29,600 --> 00:09:31,640 Speaker 2: And those again, and those other sources don't. 170 00:09:32,480 --> 00:09:36,760 Speaker 3: Right, yeah, Google's Gemini won't use Israeli sources because they 171 00:09:36,960 --> 00:09:40,959 Speaker 3: spend stuff unlike Al Jazeera Holy. 172 00:09:40,960 --> 00:09:43,560 Speaker 2: Crap, or NPR of the New York Times for that matter. 173 00:09:44,040 --> 00:09:49,520 Speaker 3: Well right, yeah, wow, that's our tech overlords. Guiding us 174 00:09:49,520 --> 00:09:50,880 Speaker 3: toward our digital future. 175 00:09:51,920 --> 00:09:58,439 Speaker 1: Mannis, I feel like I've gotten less optimistic about anything 176 00:09:58,520 --> 00:10:02,400 Speaker 1: AI the more I learned about it and the longer 177 00:10:02,440 --> 00:10:04,920 Speaker 1: it's around. 178 00:10:04,160 --> 00:10:09,000 Speaker 2: About it being a good thing. Yeah, yeah, and it 179 00:10:09,080 --> 00:10:09,440 Speaker 2: could be. 180 00:10:09,600 --> 00:10:12,160 Speaker 3: We all figure that out. And it's a tool used 181 00:10:12,200 --> 00:10:13,920 Speaker 3: for very limited application. 182 00:10:14,200 --> 00:10:15,000 Speaker 2: Here's another thing. 183 00:10:15,200 --> 00:10:17,960 Speaker 1: So there are two things that got abandoned very very 184 00:10:18,040 --> 00:10:22,200 Speaker 1: quickly about AI. This AI historian who's been looking at 185 00:10:22,200 --> 00:10:25,720 Speaker 1: it for the entire five years it's existed, won the 186 00:10:25,760 --> 00:10:29,400 Speaker 1: alignment problem, which issue number one. Alignment, Then I guess 187 00:10:29,400 --> 00:10:31,360 Speaker 1: you can't do that, never mind. And then the other 188 00:10:31,440 --> 00:10:34,200 Speaker 1: one was the idea that we're going to keep we 189 00:10:34,280 --> 00:10:37,800 Speaker 1: build an AI model and it will be you know, separate. 190 00:10:37,880 --> 00:10:40,120 Speaker 1: It won't be connected to anything else, so it can't 191 00:10:40,160 --> 00:10:42,559 Speaker 1: get out of hand, it can't get out of control, 192 00:10:42,640 --> 00:10:46,560 Speaker 1: it can't affect other things. And then everybody, as you know, 193 00:10:47,040 --> 00:10:50,880 Speaker 1: I've got AI my phone, you got to It's out everywhere, 194 00:10:50,880 --> 00:10:53,800 Speaker 1: connected to everything all the time. So that was one 195 00:10:53,800 --> 00:10:56,480 Speaker 1: of the original tenants also of making sure we can 196 00:10:56,480 --> 00:11:00,920 Speaker 1: control AI was keeping it like separate, not connected to 197 00:11:00,960 --> 00:11:02,320 Speaker 1: any other network. 198 00:11:03,400 --> 00:11:05,920 Speaker 2: That got abandoned immediately. Yeah. 199 00:11:06,000 --> 00:11:08,920 Speaker 3: Yeah, now I'll be in the woods or fishing. If 200 00:11:08,920 --> 00:11:12,520 Speaker 3: you need me for AI fish, Uh No, I'm just 201 00:11:12,920 --> 00:11:16,520 Speaker 3: further That is my clever conclusion. 202 00:11:16,640 --> 00:11:17,679 Speaker 2: First set up. 203 00:11:17,760 --> 00:11:22,200 Speaker 3: Second, you know, execution of this thought. Jack, hang with me. 204 00:11:23,400 --> 00:11:28,320 Speaker 3: I will be fishing if you need me. Is it possible? 205 00:11:28,400 --> 00:11:31,200 Speaker 3: And the answer is yes, clearly fing Yes. Is it 206 00:11:31,240 --> 00:11:35,160 Speaker 3: possible humankind could come up with something it can't handle? 207 00:11:35,679 --> 00:11:37,760 Speaker 2: We can't handle. A lot of people thought it was 208 00:11:37,840 --> 00:11:38,680 Speaker 2: nuclear weapons. 209 00:11:39,080 --> 00:11:42,760 Speaker 1: Well, if if it becomes smarter than us. 210 00:11:42,880 --> 00:11:44,240 Speaker 2: It's a very simple. 211 00:11:45,480 --> 00:11:49,200 Speaker 1: Proposition put out by a couple of the AI geniuses 212 00:11:49,240 --> 00:11:52,760 Speaker 1: I've listened to the other day. The smartest beast has 213 00:11:53,280 --> 00:11:58,040 Speaker 1: dominated throughout the history of everything. It just always works 214 00:11:58,080 --> 00:12:00,720 Speaker 1: that way. And now we're developing something harder than us. 215 00:12:00,880 --> 00:12:02,560 Speaker 1: How do you think it's not going to end up 216 00:12:02,600 --> 00:12:04,160 Speaker 1: being the dominant beast. 217 00:12:04,880 --> 00:12:08,200 Speaker 3: Putting life in the hands of AI is like giving 218 00:12:08,320 --> 00:12:09,560 Speaker 3: machine guns to chimps. 219 00:12:09,640 --> 00:12:13,160 Speaker 1: Jack as before, but there's no there's no evidence of 220 00:12:13,200 --> 00:12:15,560 Speaker 1: it ever being any other way. The smartest thing out 221 00:12:15,600 --> 00:12:19,680 Speaker 1: there runs, society runs the world. We have been that 222 00:12:20,040 --> 00:12:22,960 Speaker 1: for a very long time. Now we're creating something smarter 223 00:12:23,040 --> 00:12:25,680 Speaker 1: than us. Why would you think it's not going to 224 00:12:25,760 --> 00:12:28,319 Speaker 1: dominate us and run the world to its. 225 00:12:28,120 --> 00:12:30,040 Speaker 2: Benefit as a post hors My. 226 00:12:30,040 --> 00:12:35,040 Speaker 3: Only quibbal is that sometimes the strongest physically beast can 227 00:12:35,080 --> 00:12:36,199 Speaker 3: defeat the brain yash. 228 00:12:36,280 --> 00:12:40,080 Speaker 2: So we'll smash it like a hammer. For precisely smash 229 00:12:40,120 --> 00:12:40,760 Speaker 2: it with a hammer. 230 00:12:41,720 --> 00:12:44,600 Speaker 3: Our train are gun wielding chimps that I just described 231 00:12:45,080 --> 00:12:46,079 Speaker 3: to shoot computers. 232 00:12:47,520 --> 00:12:48,160 Speaker 2: I don't know. 233 00:12:49,320 --> 00:12:51,520 Speaker 3: Okay, we got some Kamala on her book to her 234 00:12:51,600 --> 00:12:54,679 Speaker 3: disastrous book hilarious, and a bunch. 235 00:12:54,480 --> 00:12:55,800 Speaker 2: Of other stuff on the way. Stay tuned. 236 00:12:57,800 --> 00:13:04,480 Speaker 4: He called me and I and again, listen this book. 237 00:13:04,760 --> 00:13:07,560 Speaker 4: I am being candid in this book, are you? And 238 00:13:07,640 --> 00:13:11,600 Speaker 4: in a way that I hope is helpful for people 239 00:13:11,640 --> 00:13:15,480 Speaker 4: to understand what that all was. And part of that 240 00:13:15,520 --> 00:13:18,520 Speaker 4: call that he made to me the afternoon before the 241 00:13:18,559 --> 00:13:23,320 Speaker 4: debate was to wish me luck, but also to talk 242 00:13:23,360 --> 00:13:26,640 Speaker 4: about something that was more in his interest than it 243 00:13:26,760 --> 00:13:30,360 Speaker 4: was in mind, especially in the context of that time. 244 00:13:34,240 --> 00:13:39,000 Speaker 1: She is the hardest person to follow of anyone. She 245 00:13:39,040 --> 00:13:42,480 Speaker 1: would have made a horrible president. I mean absolutely horrible. 246 00:13:42,520 --> 00:13:45,720 Speaker 1: I don't just mean in the normal I don't want 247 00:13:45,720 --> 00:13:49,280 Speaker 1: the Democrat to win. I'd rather have Gavin Nusa. You 248 00:13:49,320 --> 00:13:51,680 Speaker 1: can name tons of people I don't like that would 249 00:13:51,679 --> 00:13:52,520 Speaker 1: be better. To be president. 250 00:13:52,679 --> 00:13:54,080 Speaker 2: Her brain don't work. 251 00:13:54,400 --> 00:13:57,880 Speaker 3: No, no, I found myself being lulled into this weird 252 00:13:58,000 --> 00:14:00,840 Speaker 3: hypnosis by her drone nonsense. 253 00:14:00,960 --> 00:14:04,400 Speaker 1: She can't spit anything out, she can't make a decision, 254 00:14:04,640 --> 00:14:08,920 Speaker 1: she's too cowardly to say anything anyway. So she's having 255 00:14:09,000 --> 00:14:12,240 Speaker 1: what Mark Cawpern is calling one of the most disastrous 256 00:14:12,559 --> 00:14:15,000 Speaker 1: first forty eight hours of a book to her anybody's 257 00:14:15,000 --> 00:14:18,440 Speaker 1: ever had. And here's a little of his analysis with 258 00:14:18,520 --> 00:14:21,320 Speaker 1: a couple of the people on his show from yesterday, 259 00:14:21,920 --> 00:14:22,720 Speaker 1: Kamala Harris. 260 00:14:23,320 --> 00:14:28,280 Speaker 5: She's done two interviews Rachel Maddow last night and Jamay 261 00:14:29,000 --> 00:14:35,480 Speaker 5: and most distinctive to me, again, as someone who's as 262 00:14:35,520 --> 00:14:39,160 Speaker 5: expert in selling books, is anything I'm expert at, She's 263 00:14:39,200 --> 00:14:41,080 Speaker 5: not doing a particularly good job of selling the book, 264 00:14:41,120 --> 00:14:45,320 Speaker 5: in part because she's pulling her punches when the questioners 265 00:14:45,320 --> 00:14:48,160 Speaker 5: have asked her about the newsiest parts of the book. 266 00:14:48,640 --> 00:14:51,960 Speaker 5: She's not backing up what she said in the book. 267 00:14:52,000 --> 00:14:55,480 Speaker 5: She seems reluctant to repeat some of the accusations she's made, so, 268 00:14:55,520 --> 00:14:58,840 Speaker 5: for instance, Rachel Maddow, Rachel Maddow said, I'm very disappointed 269 00:14:58,880 --> 00:15:02,600 Speaker 5: that you suggested that country wasn't ready to elect a 270 00:15:02,600 --> 00:15:03,360 Speaker 5: black woman. 271 00:15:03,120 --> 00:15:04,800 Speaker 2: In a gay man and picking pet footage. 272 00:15:04,840 --> 00:15:06,920 Speaker 5: Agency said, Oh no, no, that's not really what I 273 00:15:07,080 --> 00:15:10,080 Speaker 5: what I mean, what I mean is, uh, you know, 274 00:15:10,640 --> 00:15:12,280 Speaker 5: I think it would have been tough. I mean, she 275 00:15:12,400 --> 00:15:14,560 Speaker 5: just she didn't follow it through. And then here's two 276 00:15:14,560 --> 00:15:18,680 Speaker 5: examples from a Good Morning America. First, she was asked 277 00:15:18,760 --> 00:15:21,200 Speaker 5: about the phone call that she writes in the book 278 00:15:21,200 --> 00:15:23,680 Speaker 5: that Joe Biden called her right before a debate with 279 00:15:23,720 --> 00:15:26,240 Speaker 5: Donald Trump, and rather than just wishing her well, started 280 00:15:26,280 --> 00:15:29,080 Speaker 5: to complain to her about his own grievances. 281 00:15:30,080 --> 00:15:31,880 Speaker 2: Right, And that's the clip we just heard. 282 00:15:31,960 --> 00:15:33,960 Speaker 1: And so Mark Halpern made the point and then I 283 00:15:34,000 --> 00:15:37,200 Speaker 1: saw him on Megan Kelly's shows. 284 00:15:37,400 --> 00:15:39,680 Speaker 2: And I thought it was said. He said, instead of 285 00:15:39,760 --> 00:15:40,560 Speaker 2: selling her books. 286 00:15:40,600 --> 00:15:45,440 Speaker 1: So she usually, you you you write something strong in 287 00:15:45,480 --> 00:15:47,720 Speaker 1: your book and then you get asked about it because 288 00:15:47,760 --> 00:15:50,440 Speaker 1: you made some strong statements and you you know, you 289 00:15:51,160 --> 00:15:53,880 Speaker 1: add more to it. You're trying to create excitement and 290 00:15:54,120 --> 00:15:56,640 Speaker 1: and and and get people to want to go out 291 00:15:56,640 --> 00:15:57,800 Speaker 1: and buy the book. That's a point of it. 292 00:15:58,120 --> 00:15:59,840 Speaker 2: She backs off of all of them. 293 00:16:00,160 --> 00:16:02,520 Speaker 1: And he said, instead of a selling her book, it 294 00:16:02,560 --> 00:16:06,160 Speaker 1: seems like she's being confronted with her journal that leaked out, 295 00:16:06,400 --> 00:16:09,520 Speaker 1: and she's trying to explain away the passages that have 296 00:16:09,640 --> 00:16:10,240 Speaker 1: leaked out. 297 00:16:11,000 --> 00:16:12,600 Speaker 2: Yeah, what she's doing. 298 00:16:12,920 --> 00:16:15,560 Speaker 3: My only disagreement with Mark is not only did she 299 00:16:15,640 --> 00:16:17,960 Speaker 3: not write the book mark she hasn't even read it. 300 00:16:18,200 --> 00:16:20,760 Speaker 2: Oh you don't think so? No. 301 00:16:20,760 --> 00:16:23,520 Speaker 3: No, she sat down for a bunch of interviews, even 302 00:16:23,560 --> 00:16:25,840 Speaker 3: with some professional writer, which is perfectly fine. I mean 303 00:16:25,880 --> 00:16:29,680 Speaker 3: that's what politicians do, and they crafted a book. But 304 00:16:29,760 --> 00:16:31,960 Speaker 3: she was probably surprised at some of the way things 305 00:16:32,000 --> 00:16:35,240 Speaker 3: were characterized. And she is gutless and has no principles. 306 00:16:35,280 --> 00:16:37,120 Speaker 3: So yeah, back it off of everything. 307 00:16:37,160 --> 00:16:40,040 Speaker 1: Here she is on Good Morning America, asked about was 308 00:16:40,120 --> 00:16:42,600 Speaker 1: Joe Biden capable of serving. 309 00:16:42,280 --> 00:16:48,360 Speaker 2: Four more years? Eighty three? Please? ATHLETs sit here today. 310 00:16:48,360 --> 00:16:50,480 Speaker 1: Do you think he would have been up for running 311 00:16:50,480 --> 00:16:52,000 Speaker 1: the country for four more years? 312 00:16:52,480 --> 00:16:56,040 Speaker 4: I here's the distinction that I make. It's and having 313 00:16:56,120 --> 00:16:59,800 Speaker 4: had the experience myself, it is one thing to have 314 00:16:59,840 --> 00:17:04,240 Speaker 4: the capacity to govern, it is another thing to go 315 00:17:04,320 --> 00:17:06,880 Speaker 4: through an electric There. 316 00:17:06,800 --> 00:17:07,760 Speaker 2: You go, right off the bat. 317 00:17:07,840 --> 00:17:11,399 Speaker 1: She couldn't just even come close to answering the question. 318 00:17:12,080 --> 00:17:13,280 Speaker 2: Somebody slapped me in which. 319 00:17:13,160 --> 00:17:16,199 Speaker 1: She is unbelievable, and I can't believe she thinks she 320 00:17:16,280 --> 00:17:17,840 Speaker 1: might actually run for president again. 321 00:17:18,520 --> 00:17:19,960 Speaker 2: Armstrong and Getty. 322 00:17:20,960 --> 00:17:23,639 Speaker 5: Dan in a business we call that a word salad. 323 00:17:23,720 --> 00:17:25,959 Speaker 5: So she doesn't actually tell the story. She just kind 324 00:17:26,000 --> 00:17:28,320 Speaker 5: of refers to the story not a way to sell books. 325 00:17:28,359 --> 00:17:31,000 Speaker 5: And here she is when asked about the question that 326 00:17:31,080 --> 00:17:33,080 Speaker 5: she confronts to some extent in the book, which is 327 00:17:33,560 --> 00:17:37,440 Speaker 5: a regret that she failed to raise the issue of 328 00:17:37,480 --> 00:17:40,199 Speaker 5: the president's mental decline. Now what she says in this 329 00:17:40,280 --> 00:17:43,800 Speaker 5: interview is it's harder to run for president than to 330 00:17:43,840 --> 00:17:46,800 Speaker 5: be president, which I can tell you makes no sense. 331 00:17:50,480 --> 00:17:53,520 Speaker 3: It's harder to run for president than to be president. 332 00:17:53,720 --> 00:17:59,920 Speaker 3: Who would say that out loud on her book? 333 00:18:00,200 --> 00:18:04,560 Speaker 1: Or she just keeps as the Even the Democrat on 334 00:18:04,600 --> 00:18:07,240 Speaker 1: Mark Alpern's show said, this is just a disaster. It 335 00:18:07,280 --> 00:18:10,080 Speaker 1: seems like she looks like she regrets her book to 336 00:18:10,119 --> 00:18:13,320 Speaker 1: her two days and from having to answer these questions. 337 00:18:14,000 --> 00:18:16,159 Speaker 1: We're gonna play another clip. But here's something interesting that 338 00:18:16,200 --> 00:18:21,360 Speaker 1: came out of that. So Sean Spicer is on Mark 339 00:18:21,400 --> 00:18:26,360 Speaker 1: Alprin show. Sean Spicer was Trump's first White House press spokesman. 340 00:18:26,520 --> 00:18:28,320 Speaker 2: Spicy Spicer loved him. 341 00:18:28,240 --> 00:18:32,280 Speaker 1: And he wrote a book after his time, and he 342 00:18:32,520 --> 00:18:37,359 Speaker 1: mentioned yesterday I thought this was pretty interesting. He said, 343 00:18:37,800 --> 00:18:40,880 Speaker 1: he writes his book, he gives it to his agent, 344 00:18:41,160 --> 00:18:44,400 Speaker 1: and his agent said, okay, did that feel pretty good 345 00:18:44,440 --> 00:18:46,600 Speaker 1: getting that off all that off your chest? 346 00:18:46,800 --> 00:18:48,120 Speaker 2: And he said, yeah, it felt really good. 347 00:18:48,119 --> 00:18:49,520 Speaker 1: And he said, Okay, now that you've gotten it off 348 00:18:49,560 --> 00:18:53,120 Speaker 1: your chest, do you actually want ten years ago, ten 349 00:18:53,200 --> 00:18:55,800 Speaker 1: years from now for that stuff to be in a book? 350 00:18:56,840 --> 00:18:59,160 Speaker 1: And he said, not all of it, and he went 351 00:18:59,200 --> 00:19:01,120 Speaker 1: back and took some of the stuff out. I thought 352 00:19:01,160 --> 00:19:04,320 Speaker 1: that was really interesting. So you make some score settling 353 00:19:04,400 --> 00:19:06,840 Speaker 1: comments and then you think, yeah, I don't really want 354 00:19:06,840 --> 00:19:08,879 Speaker 1: that in a book. And they were relaying that to 355 00:19:08,960 --> 00:19:12,080 Speaker 1: maybe Kamla. This was her version of like really letting 356 00:19:12,080 --> 00:19:13,919 Speaker 1: it all out, and then when she sits down to 357 00:19:13,920 --> 00:19:16,639 Speaker 1: be interviewed, she can't doesn't have the guts to stand 358 00:19:16,680 --> 00:19:18,760 Speaker 1: by what she wrote, right. 359 00:19:20,040 --> 00:19:25,360 Speaker 2: I mean, it fails on everything level. It does. It's amazing. 360 00:19:26,320 --> 00:19:27,919 Speaker 1: So we started to play this but ran out of time. 361 00:19:27,960 --> 00:19:29,480 Speaker 1: We thought we'd give you the whole thing. She was 362 00:19:29,520 --> 00:19:32,520 Speaker 1: on Good Morning America yesterday with the football player Michael 363 00:19:32,520 --> 00:19:37,520 Speaker 1: Strand and he asks the question about Biden running for 364 00:19:37,560 --> 00:19:40,600 Speaker 1: four serving for four more years and listen to her 365 00:19:40,640 --> 00:19:42,879 Speaker 1: answer as we sit here today, do you think he 366 00:19:42,920 --> 00:19:45,320 Speaker 1: would have been up for running the country for four 367 00:19:45,359 --> 00:19:46,080 Speaker 1: more years? 368 00:19:46,560 --> 00:19:50,119 Speaker 4: I here's the distinction, always the answer, it's and having 369 00:19:50,200 --> 00:19:53,920 Speaker 4: had the experience myself. It is one thing to have 370 00:19:53,960 --> 00:19:58,280 Speaker 4: the capacity to govern. It is another thing to go 371 00:19:58,400 --> 00:20:01,760 Speaker 4: through an election for president of the United States. So 372 00:20:01,840 --> 00:20:05,120 Speaker 4: you are an athlete, you may appreciate this kind of metaphor. 373 00:20:05,480 --> 00:20:08,040 Speaker 4: Running for president of the United States is like being 374 00:20:08,040 --> 00:20:12,320 Speaker 4: an a marathon at a sprinter's pace, with people throwing 375 00:20:12,359 --> 00:20:15,720 Speaker 4: tomatoes at you every step you take. It is not 376 00:20:15,840 --> 00:20:19,520 Speaker 4: for the light hearted. It takes an incredible amount of 377 00:20:19,680 --> 00:20:24,440 Speaker 4: endurance and stamina. 378 00:20:24,640 --> 00:20:24,840 Speaker 3: You know. 379 00:20:24,960 --> 00:20:26,680 Speaker 2: That was one of the more coherent things I've ever 380 00:20:26,720 --> 00:20:27,359 Speaker 2: heard her say. 381 00:20:27,600 --> 00:20:30,280 Speaker 1: Yeah, but that doesn't fit with the wit her first sentence, 382 00:20:31,480 --> 00:20:34,800 Speaker 1: Oh no, so, and she's making the argument is Helper 383 00:20:34,920 --> 00:20:37,720 Speaker 1: pointed out that running for president is harder than being president. 384 00:20:37,800 --> 00:20:39,080 Speaker 2: But you don't think anybody's. 385 00:20:38,680 --> 00:20:40,719 Speaker 1: Throwing at tomatoes at you when you're president, and some 386 00:20:40,760 --> 00:20:42,520 Speaker 1: of those tomatoes might be bombs if you make the 387 00:20:42,520 --> 00:20:43,200 Speaker 1: wrong decision. 388 00:20:43,320 --> 00:20:45,080 Speaker 2: I mean, what a moronic thing to say. 389 00:20:45,200 --> 00:20:48,080 Speaker 3: And the question, by the way, if you've forgotten, was 390 00:20:48,280 --> 00:20:50,520 Speaker 3: do you think Biden could have served four more years? 391 00:20:51,359 --> 00:20:55,119 Speaker 3: I had forgotten that was the question, right. So a 392 00:20:55,119 --> 00:21:01,720 Speaker 3: couple more points in her unreadable and unread book, she 393 00:21:01,880 --> 00:21:02,560 Speaker 3: says that. 394 00:21:02,400 --> 00:21:05,120 Speaker 2: She number two on Amazon right now, number two book 395 00:21:05,119 --> 00:21:05,640 Speaker 2: on Amazon. 396 00:21:06,119 --> 00:21:10,159 Speaker 3: Yeah, that's easy to manipulate anyway, But she and her 397 00:21:10,200 --> 00:21:13,480 Speaker 3: people are buying up thousands and thousands of copies themselves. 398 00:21:13,640 --> 00:21:19,760 Speaker 3: But so she writes about transgender boys and girl sports, 399 00:21:20,600 --> 00:21:22,760 Speaker 3: and here's what she says. 400 00:21:24,520 --> 00:21:25,440 Speaker 2: I agree with. 401 00:21:25,359 --> 00:21:29,160 Speaker 3: The concerns expressed by parents and players that we have 402 00:21:29,240 --> 00:21:32,960 Speaker 3: to take into account biological factors such as muscle mass 403 00:21:32,960 --> 00:21:36,919 Speaker 3: and unfair student athletic advantage when we determine who plays 404 00:21:36,960 --> 00:21:41,119 Speaker 3: on which teams, especially in contact sports. With goodwill and 405 00:21:41,200 --> 00:21:43,720 Speaker 3: common sense, I believe we can come up with ways 406 00:21:43,720 --> 00:21:48,960 Speaker 3: to do this without vilifying and demonizing children. I mean 407 00:21:49,000 --> 00:21:52,560 Speaker 3: that is, I would like it, in the course of 408 00:21:52,640 --> 00:21:55,800 Speaker 3: like an English class, to spend the entire hour analyzing 409 00:21:55,840 --> 00:22:01,800 Speaker 3: that handful of sentences. It is in coherent, grammatically incorrect, 410 00:22:02,760 --> 00:22:07,119 Speaker 3: suffers from several logical fallacies, and it's just idiotic. 411 00:22:07,359 --> 00:22:09,080 Speaker 2: Well the idiotic part what bothers me. 412 00:22:09,160 --> 00:22:11,800 Speaker 1: So are you suggesting that we take so if you 413 00:22:11,880 --> 00:22:13,840 Speaker 1: got a dude that wants to participate in girls' sports. 414 00:22:13,920 --> 00:22:18,040 Speaker 1: You say, yeah, you're kind of an effeminine boy, so 415 00:22:18,240 --> 00:22:20,520 Speaker 1: I guess your muscle mass is low enough will let 416 00:22:20,560 --> 00:22:21,520 Speaker 1: you compete against girls? 417 00:22:21,640 --> 00:22:24,680 Speaker 2: You know? I mean, how are you gonna determine that right? 418 00:22:24,760 --> 00:22:27,959 Speaker 3: Case by case basis, You're gonna check their junk or whatever. 419 00:22:28,280 --> 00:22:31,159 Speaker 3: It's idiotic in the idea of Villa without vilifying and 420 00:22:31,200 --> 00:22:32,000 Speaker 3: demonizing shelter. 421 00:22:32,119 --> 00:22:34,760 Speaker 2: Nobody is doing that. That is a straw man of strawman. 422 00:22:35,000 --> 00:22:38,840 Speaker 3: On the other hand, I find myself fascinated by her speech, 423 00:22:39,560 --> 00:22:42,760 Speaker 3: and I enjoy listening and eclips of it. And I'm 424 00:22:42,800 --> 00:22:45,720 Speaker 3: reminded of what my hero hl Menken said about Warren G. 425 00:22:45,920 --> 00:22:50,679 Speaker 3: Harding way back in the day, and this applies to Kamala. 426 00:22:51,200 --> 00:22:53,600 Speaker 3: What he said about Harding was, he writes the worst 427 00:22:53,640 --> 00:22:56,439 Speaker 3: English that I have ever encountered. It reminds me of 428 00:22:56,440 --> 00:22:59,560 Speaker 3: a string of wet sponges. It reminds me of tattered 429 00:22:59,760 --> 00:23:02,760 Speaker 3: wash on the line. It reminds me of stale bean soup, 430 00:23:03,119 --> 00:23:06,840 Speaker 3: of college yells, of dogs barking idiotically through endless nights. 431 00:23:07,119 --> 00:23:09,800 Speaker 3: It is so bad that a sort of grandeur creeps 432 00:23:09,800 --> 00:23:12,600 Speaker 3: into it. It drags itself out of the dark abysm 433 00:23:12,640 --> 00:23:16,520 Speaker 3: of pish and crawls insanely up the topmost pinnacle of bosh. 434 00:23:16,880 --> 00:23:19,359 Speaker 3: It is rumble and bumble, It is flat and doodle, 435 00:23:19,480 --> 00:23:22,679 Speaker 3: It is balder and dash. 436 00:23:22,760 --> 00:23:27,800 Speaker 2: Now that's right. It is almost like jazz answers. 437 00:23:27,960 --> 00:23:32,320 Speaker 3: Yeah, well said okay, and so a more eloquent take 438 00:23:32,400 --> 00:23:37,160 Speaker 3: than mine. Scott Bessen, who's one of Trump's closest advisors. 439 00:23:37,160 --> 00:23:40,920 Speaker 3: He's brilliant, and he's on the economics team, and he's 440 00:23:41,000 --> 00:23:46,879 Speaker 3: openly gay, responding to that whole idiotic commaloas saying that 441 00:23:47,000 --> 00:23:51,960 Speaker 3: she didn't Pete pick little Pete because he's gay, and 442 00:23:52,000 --> 00:23:54,119 Speaker 3: that was asking too much of America. You remember we 443 00:23:54,160 --> 00:23:56,240 Speaker 3: played the Rachel mattout club. We probably should have brought 444 00:23:56,280 --> 00:23:59,080 Speaker 3: it back in which say she says, look, saying you 445 00:23:59,080 --> 00:24:02,640 Speaker 3: couldn't pick a gay dude really disappointed me and comes. 446 00:24:02,359 --> 00:24:04,800 Speaker 2: Like I didn't say that. I didn't say that. 447 00:24:05,280 --> 00:24:07,320 Speaker 3: And then after a bunch of flap and doodle and 448 00:24:07,359 --> 00:24:10,960 Speaker 3: balder and dash, she says, and so I couldn't pick 449 00:24:11,000 --> 00:24:14,000 Speaker 3: it the gay dude because then that would be uncool. 450 00:24:14,240 --> 00:24:18,000 Speaker 3: So Scott Bessen is commenting on that she wouldn't. 451 00:24:17,600 --> 00:24:20,159 Speaker 6: Take on Pete Buda judge because he was gay, and 452 00:24:20,680 --> 00:24:23,920 Speaker 6: she wouldn't take on Pete Boodhajudge because he was gay, 453 00:24:24,359 --> 00:24:27,960 Speaker 6: because she said it was a risk to have a 454 00:24:28,040 --> 00:24:29,080 Speaker 6: running mate who was a gay. 455 00:24:29,160 --> 00:24:31,879 Speaker 2: Mant your reaction. Three things, Maria. 456 00:24:32,040 --> 00:24:36,320 Speaker 7: First, it shows her emphasis on identity politics, and the 457 00:24:36,520 --> 00:24:40,520 Speaker 7: American people have moved on too. It shows how low 458 00:24:40,600 --> 00:24:44,399 Speaker 7: regard she holds the American people that they you know, 459 00:24:44,720 --> 00:24:48,280 Speaker 7: she was just a terrible candidate. And three, you wouldn't 460 00:24:48,280 --> 00:24:50,800 Speaker 7: pick Pete Budhajudge because he might have been the worst 461 00:24:50,840 --> 00:24:54,440 Speaker 7: transportation secretary in history. Like if I thought I was 462 00:24:54,560 --> 00:24:57,400 Speaker 7: left to mess at Treasury, I can tell you your friend, 463 00:24:57,480 --> 00:25:01,160 Speaker 7: my friend Sean Duppy are a great transportation secretary. Pete 464 00:25:01,200 --> 00:25:07,320 Speaker 7: Footage Jedge left him a mess. The FAA is a disaster, 465 00:25:07,800 --> 00:25:12,160 Speaker 7: the Amtrak know anything to do with transportation was woefully 466 00:25:12,240 --> 00:25:15,119 Speaker 7: neglected over the past four years. So you know, she 467 00:25:15,400 --> 00:25:19,560 Speaker 7: judges him on his identity, his sexuality. Let's look and 468 00:25:19,680 --> 00:25:21,280 Speaker 7: see whether he did a good job. 469 00:25:21,400 --> 00:25:22,400 Speaker 2: Let's let's look. 470 00:25:22,240 --> 00:25:24,240 Speaker 7: On merit, and I can tell you on merit he 471 00:25:24,320 --> 00:25:26,600 Speaker 7: was a failure, and on merit she's a failure. 472 00:25:27,440 --> 00:25:30,560 Speaker 3: Yeah, I thought that was great analysis. She's obsessed with 473 00:25:30,680 --> 00:25:35,960 Speaker 3: identity politics. She has contempt for the American people, and 474 00:25:36,040 --> 00:25:38,879 Speaker 3: the question of effectiveness doesn't even creep into her thinking. 475 00:25:39,040 --> 00:25:40,960 Speaker 3: It's just stop back to identity politics. 476 00:25:40,960 --> 00:25:44,320 Speaker 1: The left has such a lower opinion of the country 477 00:25:44,400 --> 00:25:46,359 Speaker 1: than the right does. I remember when Barack Obama was 478 00:25:46,400 --> 00:25:49,600 Speaker 1: elected and George Stephanoppolis talking about how he cried, he 479 00:25:49,680 --> 00:25:52,280 Speaker 1: who's crying sitting with his wife because he just didn't 480 00:25:52,320 --> 00:25:55,440 Speaker 1: think we could ever elect a black person. And I 481 00:25:55,560 --> 00:25:58,719 Speaker 1: wasn't surprised in the least that we elected somebody, was like, 482 00:25:58,880 --> 00:26:02,399 Speaker 1: didn't seem surprising to me. I'm from rural America, supposedly 483 00:26:02,440 --> 00:26:04,720 Speaker 1: the racist part of the country, and didn't surprise me 484 00:26:04,760 --> 00:26:06,560 Speaker 1: at all. But we're willing to elect a black person 485 00:26:06,600 --> 00:26:08,320 Speaker 1: if we thought they were capable of doing the job. 486 00:26:08,600 --> 00:26:12,080 Speaker 1: George Deephanloppas just was so surprised he didn't think we 487 00:26:12,080 --> 00:26:12,720 Speaker 1: were there yet. 488 00:26:13,280 --> 00:26:17,040 Speaker 3: Well, I hire me a handful of Americans, huh yeah, 489 00:26:17,080 --> 00:26:17,480 Speaker 3: left these. 490 00:26:17,520 --> 00:26:19,280 Speaker 1: So what it means is I have a much higher 491 00:26:19,320 --> 00:26:22,159 Speaker 1: opinion of the country than Kamala ayrs or George Stephanopolois do. 492 00:26:23,080 --> 00:26:23,399 Speaker 2: Yeah. 493 00:26:23,920 --> 00:26:27,520 Speaker 3: Yeah, by the bye kamalaw Also, it denied that the 494 00:26:27,600 --> 00:26:31,800 Speaker 3: whole kamalas for them. Donald Trump is for you. She 495 00:26:31,840 --> 00:26:34,199 Speaker 3: didn't think that would had any real impact. It was 496 00:26:34,240 --> 00:26:37,080 Speaker 3: a minor issue. Nobody cared. She's snoring the fact that 497 00:26:37,280 --> 00:26:41,439 Speaker 3: seventy percent of moderate voters saw the issue of Donald 498 00:26:41,440 --> 00:26:45,159 Speaker 3: Trump's opposition of transgender boys playing girls and women's sports 499 00:26:45,200 --> 00:26:47,520 Speaker 3: and locker rooms and bathrooms and the rest of it. 500 00:26:47,880 --> 00:26:51,440 Speaker 3: Seventy percent of moderate voters said that issue was important 501 00:26:51,480 --> 00:26:51,880 Speaker 3: to them. 502 00:26:52,960 --> 00:26:56,960 Speaker 1: I hope she runs. I don't think she's going to ultimately. 503 00:26:57,280 --> 00:27:00,760 Speaker 1: But the other the final dirt throwing on Amala Harris's 504 00:27:00,800 --> 00:27:04,640 Speaker 1: political grave. Every interview she does, she says, I only 505 00:27:04,680 --> 00:27:06,480 Speaker 1: had one hundred and seven days and blah blah blah, 506 00:27:06,520 --> 00:27:08,480 Speaker 1: blah blah blah. And even with all of those things 507 00:27:08,520 --> 00:27:11,080 Speaker 1: against me, it ended up being the closest presidential election 508 00:27:11,280 --> 00:27:14,200 Speaker 1: in the twenty first century, which isn't true by any 509 00:27:14,280 --> 00:27:16,600 Speaker 1: measure anybody can come up with. It's not true in 510 00:27:16,680 --> 00:27:20,560 Speaker 1: terms of raw vote total. It's not even close. Bush 511 00:27:20,600 --> 00:27:24,320 Speaker 1: Gork was closer. Bush. 512 00:27:24,400 --> 00:27:25,880 Speaker 2: Who do you run against the second time? 513 00:27:27,000 --> 00:27:30,320 Speaker 3: Uh, Carrie, Yeah, Bush Kerry was closer. 514 00:27:31,800 --> 00:27:36,479 Speaker 1: Trump was closer and Biden was closer. But other than that, 515 00:27:36,560 --> 00:27:38,359 Speaker 1: you're right, But if you and if you go by 516 00:27:38,400 --> 00:27:40,840 Speaker 1: electoral total, it's not true either, so but she gets 517 00:27:40,840 --> 00:27:42,640 Speaker 1: away with it in every interview because nobody does any 518 00:27:42,680 --> 00:27:44,840 Speaker 1: homework and is willing to say, wait a second, that 519 00:27:44,840 --> 00:27:46,680 Speaker 1: doesn't sound right to me. I don't think this wasn't 520 00:27:46,680 --> 00:27:48,920 Speaker 1: the closest election of the last twenty five years. 521 00:27:49,200 --> 00:27:51,680 Speaker 2: Well, she lost all seven Swing states. 522 00:27:52,800 --> 00:27:55,480 Speaker 3: I mean, come on, all right, a quick word from 523 00:27:55,520 --> 00:27:57,320 Speaker 3: her friends at Prize Picks. Then I want to give 524 00:27:57,359 --> 00:27:59,680 Speaker 3: you a little dessert after all of that heap and 525 00:27:59,800 --> 00:28:02,760 Speaker 3: help open of Kamala. That's a little Gavin Newsom trying 526 00:28:02,800 --> 00:28:06,480 Speaker 3: desperately to reach the Oval office. But Prize Picks. The 527 00:28:06,480 --> 00:28:10,479 Speaker 3: football season continues so exciting on any given Sunday. 528 00:28:10,640 --> 00:28:14,280 Speaker 2: Any team could win your productions. You're smarts. Can you 529 00:28:14,359 --> 00:28:17,080 Speaker 2: turn them into cash? Yes you can with Prize Picks. 530 00:28:17,119 --> 00:28:18,680 Speaker 2: I'm all about the fall baseball, man. 531 00:28:18,720 --> 00:28:21,719 Speaker 1: You get the playoffs starting, and that's going to be very, 532 00:28:21,800 --> 00:28:22,360 Speaker 1: very exciting. 533 00:28:22,560 --> 00:28:25,239 Speaker 2: It's exciting already. Price Picks is such a simple way 534 00:28:25,280 --> 00:28:25,520 Speaker 2: to play. 535 00:28:25,560 --> 00:28:27,360 Speaker 1: You pick more or less on two to six players, 536 00:28:27,800 --> 00:28:31,080 Speaker 1: put your opinions into Prize Picks and maybe you could 537 00:28:31,080 --> 00:28:32,880 Speaker 1: make some cash. It is the best place to win 538 00:28:32,920 --> 00:28:35,679 Speaker 1: cash while watching sports. You can join millions of users 539 00:28:35,840 --> 00:28:38,080 Speaker 1: by downloading the Prize Picks app today and use the 540 00:28:38,080 --> 00:28:40,440 Speaker 1: code armstrong to get fifty dollars in the lineups after 541 00:28:40,520 --> 00:28:42,320 Speaker 1: you play your first five dollars lineup. 542 00:28:42,640 --> 00:28:44,880 Speaker 2: Yeah, you can just play a five dollars lineup if 543 00:28:44,880 --> 00:28:45,560 Speaker 2: you want. That's fine. 544 00:28:45,560 --> 00:28:47,360 Speaker 3: Then they give you fifty dollars to play around with. 545 00:28:47,520 --> 00:28:50,400 Speaker 3: Whether you win or not, it doesn't matter. Use that 546 00:28:50,480 --> 00:28:54,560 Speaker 3: code Armstrong. Download the Prize Picks app today, get your 547 00:28:54,600 --> 00:28:56,720 Speaker 3: fifty dollars in lineups after you play your first five 548 00:28:56,800 --> 00:28:58,360 Speaker 3: dollars lineup Prize Picks. 549 00:28:58,640 --> 00:28:59,560 Speaker 2: It's good to be right. 550 00:29:00,640 --> 00:29:04,160 Speaker 3: So Newsom was on Colbert last night, I guess, and 551 00:29:04,280 --> 00:29:08,800 Speaker 3: when everybody else was watching the Martyr Jimmy Kimmel come 552 00:29:08,880 --> 00:29:11,920 Speaker 3: back on the air. More on that to come, and 553 00:29:12,240 --> 00:29:16,240 Speaker 3: Gavy Newsom was there. Gavy has to just carry a 554 00:29:16,280 --> 00:29:18,960 Speaker 3: briefcase in front of himself so you can't see how 555 00:29:19,200 --> 00:29:21,480 Speaker 3: fully aroused he is for the Oval Office. 556 00:29:22,000 --> 00:29:25,240 Speaker 2: Listen to this crapy click number nine. Michael, I'm sorry 557 00:29:25,240 --> 00:29:27,160 Speaker 2: I should have told you. Here's Gavy Newsom. 558 00:29:27,680 --> 00:29:31,680 Speaker 8: We are struggling to communicate, we're struggling to win back 559 00:29:31,760 --> 00:29:35,080 Speaker 8: now the majority in the House of Representatives, and that's 560 00:29:35,080 --> 00:29:37,440 Speaker 8: a big part of what I'm doing, not just today 561 00:29:37,520 --> 00:29:40,200 Speaker 8: in terms of the work out here raising money, but 562 00:29:40,240 --> 00:29:43,080 Speaker 8: also raising awareness around how Donald Trump is trying to 563 00:29:43,160 --> 00:29:47,080 Speaker 8: rig the midterm elections, and how I fear that we 564 00:29:47,160 --> 00:29:50,640 Speaker 8: will not have an election in twenty twenty eight. 565 00:29:50,680 --> 00:29:53,360 Speaker 2: I really mean that and the core of my soul. 566 00:29:53,840 --> 00:29:57,000 Speaker 8: Unless we wake up to the code red what's happening 567 00:29:57,080 --> 00:30:00,360 Speaker 8: in this country, and we wake up soberly to how 568 00:30:00,400 --> 00:30:01,480 Speaker 8: serious this moment is. 569 00:30:03,160 --> 00:30:05,080 Speaker 2: Well, I'm in the crowd, goes Wiles. 570 00:30:05,360 --> 00:30:07,720 Speaker 1: I'm glad we've taken down the rhetoric since the Charlie 571 00:30:07,760 --> 00:30:11,000 Speaker 1: Kirk assassination and stopped claiming that the other side is 572 00:30:11,040 --> 00:30:12,120 Speaker 1: about to end democracy. 573 00:30:12,680 --> 00:30:13,760 Speaker 2: Doesn't the whole I. 574 00:30:13,680 --> 00:30:16,640 Speaker 3: Don't even think we'll have another election seem I mean, 575 00:30:16,680 --> 00:30:19,440 Speaker 3: it seems as ridiculous as has always seemed. But doesn't 576 00:30:19,480 --> 00:30:21,920 Speaker 3: that seem like a couple of years ago, I mean 577 00:30:22,040 --> 00:30:23,360 Speaker 3: just way too late. 578 00:30:23,680 --> 00:30:27,040 Speaker 2: Yeah, after the twenty four election. It just yeah, there 579 00:30:27,080 --> 00:30:30,280 Speaker 2: was too much of that. Yeah, give me a break. 580 00:30:31,360 --> 00:30:34,240 Speaker 1: Hilarious, And I mean talk about the boy cried wolf. 581 00:30:34,280 --> 00:30:36,640 Speaker 1: How many times can you play that card? There will 582 00:30:36,680 --> 00:30:39,200 Speaker 1: never be another election. You've said that like five elections 583 00:30:39,240 --> 00:30:39,560 Speaker 1: in a row. 584 00:30:40,160 --> 00:30:45,120 Speaker 3: Keep giving sex change operations to ilegal immigrant inmates. Gavin, 585 00:30:45,480 --> 00:30:48,920 Speaker 3: that'll play great across America. Bring that to the Swing States, 586 00:30:49,000 --> 00:30:51,640 Speaker 3: Run that up the flagpole and see what dou salutes 587 00:30:52,080 --> 00:30:57,040 Speaker 3: payer funded sex changes to a legal immigrant inmate felons. 588 00:30:57,240 --> 00:31:00,800 Speaker 2: That's right, Yes, there you go. Check the polls. 589 00:31:02,600 --> 00:31:04,680 Speaker 1: And when we voted on that, Kamala Harris would not 590 00:31:04,680 --> 00:31:07,000 Speaker 1: take a stand because she didn't figure she should have 591 00:31:07,040 --> 00:31:08,560 Speaker 1: to weigh in on it wouldn't be right to weigh 592 00:31:08,560 --> 00:31:09,280 Speaker 1: in on that topic. 593 00:31:09,560 --> 00:31:13,760 Speaker 2: What an idiot? Yeah, and your problem is messaging, cavvy. 594 00:31:13,880 --> 00:31:14,680 Speaker 2: That was the beginning. 595 00:31:15,120 --> 00:31:18,600 Speaker 3: We're not doing a good enough job communicating to people 596 00:31:19,280 --> 00:31:23,040 Speaker 3: that were in favor of such change operations for illegal 597 00:31:23,080 --> 00:31:24,560 Speaker 3: immigrant felons in prison. 598 00:31:27,080 --> 00:31:29,520 Speaker 1: Baseball playoffs are days away. There's gonna be a big 599 00:31:29,600 --> 00:31:32,600 Speaker 1: change to baseball next year. That's kind of interesting among 600 00:31:32,600 --> 00:31:36,240 Speaker 1: all the things on the way. 601 00:31:37,960 --> 00:31:39,720 Speaker 2: I love baseball playoffs. 602 00:31:39,760 --> 00:31:42,360 Speaker 1: That are the really, really really long season which each 603 00:31:42,400 --> 00:31:44,920 Speaker 1: game doesn't matter much. The playoffs are very, very fun. 604 00:31:45,160 --> 00:31:46,440 Speaker 1: I don't know what team I'm going to root for 605 00:31:46,440 --> 00:31:48,640 Speaker 1: this year. I'm wearing a Dodger's hat, but I don't 606 00:31:48,680 --> 00:31:53,719 Speaker 1: know who I'm going to root for. Detroit Tigers who've 607 00:31:53,920 --> 00:31:58,200 Speaker 1: led all season long. Wired to Wire have lost nine 608 00:31:58,240 --> 00:32:01,280 Speaker 1: of their last ten and may about the division lead, 609 00:32:01,320 --> 00:32:02,400 Speaker 1: which is absolutely amazing. 610 00:32:02,880 --> 00:32:05,200 Speaker 3: That's the division with Cleveland that I was talking about 611 00:32:05,280 --> 00:32:06,840 Speaker 3: yesterday and Cleveland red hot. 612 00:32:06,840 --> 00:32:10,880 Speaker 1: Cleveland has won one nine of their last ten. So anyway, Uh, 613 00:32:11,200 --> 00:32:13,120 Speaker 1: didn't mean to talk about that. This is a change 614 00:32:13,120 --> 00:32:16,240 Speaker 1: that's coming next year. Robot umpires are coming. 615 00:32:16,400 --> 00:32:20,000 Speaker 9: Automated pitch callers will now allow teams to challenge the 616 00:32:20,000 --> 00:32:23,120 Speaker 9: calls of human umpires. The system has been tested in 617 00:32:23,120 --> 00:32:25,080 Speaker 9: the miners. Under the new rules, teams will get two 618 00:32:25,200 --> 00:32:27,760 Speaker 9: challenges per game. So I've seen the videos. They look 619 00:32:27,880 --> 00:32:31,040 Speaker 9: like those Boston Electronics or whatever things. They walk out there, 620 00:32:31,280 --> 00:32:34,000 Speaker 9: they do some dancing and then they squat down behind 621 00:32:34,040 --> 00:32:34,600 Speaker 9: the plate. 622 00:32:35,080 --> 00:32:36,480 Speaker 2: That is inaccurate center. 623 00:32:36,680 --> 00:32:39,239 Speaker 3: No, it's just a bunch of sensors and they're going 624 00:32:39,320 --> 00:32:43,240 Speaker 3: to ease in computer well sensor umpires instead of humans 625 00:32:43,240 --> 00:32:45,840 Speaker 3: calling balls and strikes. By doing this, you get two 626 00:32:46,160 --> 00:32:47,520 Speaker 3: pitch appeals per game. 627 00:32:48,720 --> 00:32:49,800 Speaker 2: You ease in. 628 00:32:49,960 --> 00:32:52,200 Speaker 1: So you think at some point the computers will take 629 00:32:52,200 --> 00:32:56,440 Speaker 1: over one strikes Yeah, huh really and they'll just eliminate umpires. 630 00:32:57,160 --> 00:32:58,920 Speaker 2: Uh No, the umps will still have to be there. 631 00:32:59,400 --> 00:33:04,440 Speaker 3: At least for while to call like foul tips, catchers, interference, 632 00:33:05,280 --> 00:33:06,600 Speaker 3: tag plays, force. 633 00:33:06,440 --> 00:33:08,280 Speaker 2: Plays at the plate, that sort of thing, not balls 634 00:33:08,320 --> 00:33:09,440 Speaker 2: and strikes. Correct. 635 00:33:09,520 --> 00:33:12,680 Speaker 3: Yeah, they will just stand there waiting for something to happen, 636 00:33:12,920 --> 00:33:14,560 Speaker 3: as if they're the first base umpire. 637 00:33:14,680 --> 00:33:17,440 Speaker 1: And as a as a baseball fan, do you think 638 00:33:17,440 --> 00:33:19,320 Speaker 1: that's a good or bad? 639 00:33:20,040 --> 00:33:22,560 Speaker 2: Oh? Goodness, mostly bad? 640 00:33:23,800 --> 00:33:28,280 Speaker 3: Kind of a mixed bag, Honestly, several other sports have 641 00:33:28,440 --> 00:33:31,760 Speaker 3: gone to you know, electronic guys, tennis notably. 642 00:33:31,920 --> 00:33:33,560 Speaker 2: Yeah, but that makes one hun. 643 00:33:35,440 --> 00:33:37,760 Speaker 1: Sense because it's either in or out on the line 644 00:33:37,800 --> 00:33:40,960 Speaker 1: and a computer can tell. But the whole you know, 645 00:33:41,280 --> 00:33:43,400 Speaker 1: where the catcher sets up thing and all that sort 646 00:33:43,440 --> 00:33:44,880 Speaker 1: of stuff is can the computer do that? 647 00:33:45,480 --> 00:33:48,200 Speaker 3: Well, no, we're we're taking that away completely. There's a 648 00:33:48,640 --> 00:33:54,040 Speaker 3: geometric shape. If the ball passes through that imaginary geometric shape, 649 00:33:54,040 --> 00:33:56,000 Speaker 3: which is the width of the plate and the batter, 650 00:33:56,240 --> 00:33:57,600 Speaker 3: whatever the strike zone actually is. 651 00:33:58,720 --> 00:34:00,560 Speaker 2: If it passes through that, it's a strike period. If 652 00:34:00,600 --> 00:34:04,320 Speaker 2: it doesn't, it's a ball. Do pictures like that or no? 653 00:34:04,960 --> 00:34:09,319 Speaker 3: Major League insiders tell me no, because it's such a 654 00:34:09,400 --> 00:34:11,920 Speaker 3: change of the game. And I know this seems strange 655 00:34:11,960 --> 00:34:14,840 Speaker 3: to people who are either not fans or minor fans. 656 00:34:15,200 --> 00:34:16,359 Speaker 2: But if the catcher. 657 00:34:16,080 --> 00:34:21,239 Speaker 3: Sets out like outside the plate, an intentional ball, I 658 00:34:21,280 --> 00:34:22,640 Speaker 3: want you to throw a ball, let's see if we 659 00:34:22,680 --> 00:34:24,880 Speaker 3: can get them to chase it. And the pitcher completely 660 00:34:24,880 --> 00:34:27,480 Speaker 3: misfires and the catcher has to dive across the plate 661 00:34:27,719 --> 00:34:30,520 Speaker 3: to even catch the ball. But it catches a split 662 00:34:30,880 --> 00:34:34,280 Speaker 3: you know, inch of the plate. Nobody in baseball hitter's 663 00:34:34,320 --> 00:34:35,640 Speaker 3: the catchers the picture. 664 00:34:35,800 --> 00:34:37,959 Speaker 2: Nobody wants that to be a strike. But it will 665 00:34:37,960 --> 00:34:40,160 Speaker 2: be a strike. Okay, well I don't like it. I'm against. 666 00:34:40,160 --> 00:34:42,000 Speaker 2: It doesn't make it different, so I'm against. It's gonna happen. 667 00:34:42,040 --> 00:34:47,880 Speaker 3: But yeah, a time Ai et cetera, Chinese robot wolves. 668 00:34:47,920 --> 00:34:48,800 Speaker 3: It's all tied in. 669 00:34:49,160 --> 00:34:51,680 Speaker 2: Also, just the human element. I don't know. 670 00:34:52,440 --> 00:34:55,120 Speaker 1: It plays part of the whole soap opera, right, As 671 00:34:55,120 --> 00:34:57,359 Speaker 1: we always point out, the goal is not to find 672 00:34:57,400 --> 00:35:01,600 Speaker 1: out actually which city can create the best baseball team 673 00:35:01,719 --> 00:35:03,320 Speaker 1: temporarily rent to the best player. 674 00:35:03,480 --> 00:35:04,120 Speaker 2: Yes, it's a. 675 00:35:04,080 --> 00:35:06,120 Speaker 1: TV show, and what's the most exciting and the whole 676 00:35:06,640 --> 00:35:09,560 Speaker 1: You know this umpire, you know, he's a favorable umpire 677 00:35:09,600 --> 00:35:11,960 Speaker 1: for this pitcher, and then they get into arguments and stuff. 678 00:35:11,960 --> 00:35:14,440 Speaker 1: That's part of the excitement of the game that makes 679 00:35:14,480 --> 00:35:16,120 Speaker 1: it a fun TV show, right, the drama? 680 00:35:16,760 --> 00:35:19,000 Speaker 2: Right? Oh yeah, number one. I think that's a great point. 681 00:35:19,040 --> 00:35:21,279 Speaker 1: The last time this picture in this umpire went nose 682 00:35:21,360 --> 00:35:23,279 Speaker 1: to nose, so we'll see if that carries over into 683 00:35:23,320 --> 00:35:23,680 Speaker 1: this game. 684 00:35:23,920 --> 00:35:25,799 Speaker 2: Is part of the soap opera that makes me want 685 00:35:25,800 --> 00:35:26,200 Speaker 2: to watch? 686 00:35:26,640 --> 00:35:30,040 Speaker 3: Right, Oh, Jones wanted that pitch. You can see the 687 00:35:30,200 --> 00:35:33,880 Speaker 3: old animosity flaring already, Jim, Nope, that's gone. It's like 688 00:35:34,200 --> 00:35:38,520 Speaker 3: writing a soap opera where every character behaves perfectly, rationally great, 689 00:35:38,680 --> 00:35:39,040 Speaker 3: enjoy it. 690 00:35:39,120 --> 00:35:40,680 Speaker 2: Let's all get some puff from and watch. 691 00:35:41,560 --> 00:35:44,240 Speaker 1: Or how about if you just we'll just all craft 692 00:35:44,800 --> 00:35:47,520 Speaker 1: robots to go out and with no people involved, robots 693 00:35:47,520 --> 00:35:49,640 Speaker 1: will just play each other and they'll all be equally good, 694 00:35:49,680 --> 00:35:51,640 Speaker 1: and every call will be perfect and a yippie. 695 00:35:52,320 --> 00:35:54,239 Speaker 3: You know, if there's an upside. There are crappy calls 696 00:35:54,320 --> 00:35:58,000 Speaker 3: that change games and change championships, and nobody wants that either. 697 00:35:58,600 --> 00:36:04,000 Speaker 3: But be careful what you lose when you're gaining a 698 00:36:04,000 --> 00:36:04,800 Speaker 3: little more accurate. 699 00:36:04,800 --> 00:36:06,799 Speaker 1: It's been around for like one hundred and thirty years 700 00:36:06,840 --> 00:36:08,279 Speaker 1: or something. I wouldn't think you'd want to mess with 701 00:36:08,320 --> 00:36:08,839 Speaker 1: it too much. 702 00:36:08,760 --> 00:36:10,920 Speaker 2: And make zillions and zillions of dollars. Correct. 703 00:36:11,239 --> 00:36:13,440 Speaker 1: Anyway, we do a lot of segments and hours of 704 00:36:13,480 --> 00:36:15,399 Speaker 1: this every single day. If you miss any, you should 705 00:36:15,400 --> 00:36:17,960 Speaker 1: subscribe to our podcast, Armstrong and Getty on demand. 706 00:36:19,080 --> 00:36:21,680 Speaker 2: Good hour four coming up to lots of stuff to 707 00:36:21,680 --> 00:36:22,160 Speaker 2: squeeze in. 708 00:36:22,280 --> 00:36:25,239 Speaker 1: Well, to me, the most consequential thing that Kimmel said 709 00:36:25,320 --> 00:36:28,000 Speaker 1: last night. Nobody else is playing for some reason. You 710 00:36:28,000 --> 00:36:29,799 Speaker 1: probably haven't even heard it. We'll have that an hour 711 00:36:29,880 --> 00:36:30,080 Speaker 1: four 712 00:36:32,160 --> 00:36:35,520 Speaker 3: Armstrong and Getty