1 00:00:00,080 --> 00:00:04,559 Speaker 1: So let it's the Hammer and Nigel weekend show, a 2 00:00:04,800 --> 00:00:07,280 Speaker 1: nutty three WYBC. 3 00:00:07,840 --> 00:00:13,840 Speaker 2: Traveling this weekend Hammer playing plan accordingly. I don't know 4 00:00:13,840 --> 00:00:17,200 Speaker 2: if you've noticed your social media feeds, but they're filled 5 00:00:17,239 --> 00:00:23,160 Speaker 2: with airports in New York, Houston, Atlanta A just lines 6 00:00:23,600 --> 00:00:27,920 Speaker 2: miles long because TSA isn't getting paid and they are 7 00:00:28,160 --> 00:00:33,000 Speaker 2: stretched too thin. I think Indy has been okay from 8 00:00:33,000 --> 00:00:37,560 Speaker 2: what I've heard. Long TSA lines at airports other airports 9 00:00:37,600 --> 00:00:42,840 Speaker 2: across the country do to the DHS shutdown and again 10 00:00:43,000 --> 00:00:47,320 Speaker 2: TSA with a very hard job not getting paid right, 11 00:00:47,680 --> 00:00:48,519 Speaker 2: And I. 12 00:00:48,479 --> 00:00:52,479 Speaker 3: Think Indy has been doing really well. Like Indie's airport. 13 00:00:52,760 --> 00:00:56,279 Speaker 3: You're not seeing them on these viral stories of hell 14 00:00:56,360 --> 00:00:59,640 Speaker 3: breaking loose, at least not yet, not yet, not yet. Now. 15 00:00:59,680 --> 00:01:03,520 Speaker 3: I flying out on Sunday evening out of Indy, so 16 00:01:03,560 --> 00:01:07,080 Speaker 3: I'm crossing my fingers things will be okay. But coming 17 00:01:07,160 --> 00:01:10,720 Speaker 3: back home, because I'm off two days next week, I'm 18 00:01:10,720 --> 00:01:14,319 Speaker 3: coming through a major airport and I'm beginning to wonder 19 00:01:14,440 --> 00:01:17,600 Speaker 3: how soon should I get there to deal with the 20 00:01:17,640 --> 00:01:18,560 Speaker 3: TSA crap. 21 00:01:18,680 --> 00:01:21,760 Speaker 2: Godspeed to you. I just spent the night there the 22 00:01:21,880 --> 00:01:24,000 Speaker 2: night before. If I were you, I'm not doing that 23 00:01:24,800 --> 00:01:26,480 Speaker 2: not doing that in the airport. 24 00:01:27,280 --> 00:01:29,440 Speaker 3: Now if they kept the bar open all night long, 25 00:01:29,520 --> 00:01:34,560 Speaker 3: well maybe last night on CNN, Scott Jennings was on 26 00:01:34,600 --> 00:01:37,800 Speaker 3: Abby Phillips program. As we've said before, the only reason 27 00:01:37,840 --> 00:01:41,720 Speaker 3: people watch Abby Phillip is to see Scott Jennings, you know, 28 00:01:41,840 --> 00:01:44,440 Speaker 3: go into the lions then and take on that panel. 29 00:01:44,920 --> 00:01:48,280 Speaker 3: He simply, very calmly pointed out to all of the 30 00:01:48,320 --> 00:01:50,920 Speaker 3: Democrat panelists, this is on you. 31 00:01:51,920 --> 00:01:54,600 Speaker 4: I live in airports. These poor TSA people. They've missed 32 00:01:54,600 --> 00:01:56,960 Speaker 4: two paychecks, they're about to miss a third one. They're 33 00:01:57,000 --> 00:01:59,800 Speaker 4: having to call out in places. Hundreds have already quit 34 00:01:59,800 --> 00:02:01,919 Speaker 4: the to make ends meet. They got to get other jobs. 35 00:02:01,960 --> 00:02:04,840 Speaker 4: It's unconscionable what we're doing to them. And also, given 36 00:02:04,880 --> 00:02:07,360 Speaker 4: the security and terrorism threats in the United States heading 37 00:02:07,360 --> 00:02:09,880 Speaker 4: the shut down right now, I do think the Democrats 38 00:02:09,919 --> 00:02:13,519 Speaker 4: are risking a lot of blowbag I do too. 39 00:02:14,400 --> 00:02:20,760 Speaker 3: But here's the problem. Do Democrat voters even understand that 40 00:02:21,440 --> 00:02:25,160 Speaker 3: this is predominantly because of them? Because if we live 41 00:02:25,200 --> 00:02:28,840 Speaker 3: in such an echo chamber where they're only watching CNN, 42 00:02:29,040 --> 00:02:32,880 Speaker 3: and they're only watching ms Now and they're only reading 43 00:02:33,160 --> 00:02:37,680 Speaker 3: Politico or The Atlantic, do they understand that ICE is 44 00:02:37,680 --> 00:02:39,960 Speaker 3: already funded through the big beautiful bill, and this is 45 00:02:40,000 --> 00:02:40,960 Speaker 3: all just for show. 46 00:02:41,440 --> 00:02:45,600 Speaker 2: That's yeah, what the Democrats in charge are saying, Oh, 47 00:02:45,680 --> 00:02:49,080 Speaker 2: we got a defund ice, so we're not going to 48 00:02:49,800 --> 00:02:53,000 Speaker 2: open back open the government. No, they don't understand that. 49 00:02:53,240 --> 00:02:57,360 Speaker 2: And I'll piggyback on that hammer and say the Congress, 50 00:02:57,680 --> 00:03:01,239 Speaker 2: Senate whatever, they don't care about THESA workers. They don't 51 00:03:01,240 --> 00:03:04,079 Speaker 2: care about the average Joe six pack that are putting 52 00:03:04,080 --> 00:03:08,040 Speaker 2: in ten twelve hours a day, right not getting paid 53 00:03:08,560 --> 00:03:13,520 Speaker 2: for it. When this eventually gets passed and DHS gets funded, 54 00:03:13,520 --> 00:03:17,720 Speaker 2: they will get paid retroactively, I believe, but that doesn't 55 00:03:17,720 --> 00:03:20,359 Speaker 2: help them currently in their situation at all. 56 00:03:20,400 --> 00:03:24,400 Speaker 3: And anyways, paper for and in regards to Scott Jennings 57 00:03:24,520 --> 00:03:27,640 Speaker 3: I mentioned earlier, he's the only reason people tune into 58 00:03:27,639 --> 00:03:31,840 Speaker 3: Abby Phillip on our chat. Right here, you've got Brad 59 00:03:31,960 --> 00:03:36,480 Speaker 3: Soowinsky eight one zero, yeah, and people watch the five 60 00:03:36,600 --> 00:03:40,480 Speaker 3: for Jessica Tarloff. Well, Brad, if you look at the 61 00:03:40,680 --> 00:03:43,680 Speaker 3: actual ratings that do come out. Now, I'm somebody that 62 00:03:43,760 --> 00:03:46,520 Speaker 3: works in the broadcast industry, so these types of numbers 63 00:03:46,520 --> 00:03:48,840 Speaker 3: are somewhat important to me. That's how Nige and I 64 00:03:48,880 --> 00:03:51,160 Speaker 3: make a living on the radio side, but we also 65 00:03:51,200 --> 00:03:54,040 Speaker 3: study what happens on the television side. You see a 66 00:03:54,240 --> 00:03:57,680 Speaker 3: spike when the panel comes on when it's Scott Jennings, 67 00:03:57,920 --> 00:04:00,640 Speaker 3: and on those nights where he's not there or at 68 00:04:00,720 --> 00:04:05,160 Speaker 3: some other Republican you see a dip. So yeah, the 69 00:04:05,320 --> 00:04:08,560 Speaker 3: reason people are tuning into Abby Phillip is to see 70 00:04:08,680 --> 00:04:11,720 Speaker 3: Scott Jennings. But Brad, what do I know? I only 71 00:04:11,760 --> 00:04:14,080 Speaker 3: work in the broadcast industry, study ratings and look at 72 00:04:14,080 --> 00:04:16,560 Speaker 3: the data. But I'm sure you know everything, Brad. So 73 00:04:17,360 --> 00:04:22,800 Speaker 3: by all means, the Flora is yours. Save Act update here, Nigel, 74 00:04:22,960 --> 00:04:26,159 Speaker 3: Oh boy, propaganda is in full effect here as we 75 00:04:26,200 --> 00:04:30,279 Speaker 3: get close to a go through the motions meaningless vote 76 00:04:30,320 --> 00:04:32,480 Speaker 3: because we already know how this is going to play out. 77 00:04:32,920 --> 00:04:36,400 Speaker 3: But we do have a good old fashioned hypocrisy alert. 78 00:04:41,520 --> 00:04:43,880 Speaker 3: The National Weather Service at the Hammer and Nigel's Show 79 00:04:43,920 --> 00:04:49,480 Speaker 3: have issued a hypocrisy warning for Morning Joe Joe Scarborough. 80 00:04:49,920 --> 00:04:53,560 Speaker 3: Here's what he had to say about the controversial idea 81 00:04:53,680 --> 00:04:57,080 Speaker 3: of voter identification, which is really the essence of the 82 00:04:57,120 --> 00:04:58,040 Speaker 3: Save Act. 83 00:04:58,200 --> 00:05:04,800 Speaker 5: This morning, Republicans, they don't even allow your driver's license 84 00:05:05,560 --> 00:05:09,240 Speaker 5: to be used as a way to be able to 85 00:05:09,480 --> 00:05:14,120 Speaker 5: vote for your mayor, for your county commissioners, for your 86 00:05:14,320 --> 00:05:19,240 Speaker 5: your state senators, House members, governors, presidents, doing everything you 87 00:05:19,279 --> 00:05:23,880 Speaker 5: can do to ensure that your unpopular party can somehow 88 00:05:23,880 --> 00:05:25,120 Speaker 5: figure out a way. 89 00:05:25,320 --> 00:05:26,320 Speaker 3: To win in the fall. 90 00:05:27,240 --> 00:05:29,480 Speaker 2: Okay, what man, Every time I've voted, I've just had 91 00:05:29,520 --> 00:05:30,920 Speaker 2: to show my driver's license. 92 00:05:31,000 --> 00:05:33,880 Speaker 3: Racist, that's what you are. You might as well have 93 00:05:33,960 --> 00:05:37,680 Speaker 3: a client hood on Nigel, it's Jim Crow. Okay. So 94 00:05:38,120 --> 00:05:41,080 Speaker 3: the reason we say there's a hypocrisy alert is that 95 00:05:41,520 --> 00:05:45,839 Speaker 3: it wasn't that long ago when Joe Scarborough was singing 96 00:05:45,880 --> 00:05:50,560 Speaker 3: a different tune on the same program on the same network. 97 00:05:50,960 --> 00:05:53,760 Speaker 6: The Democratic legislature has actually passed a bill out a 98 00:05:53,760 --> 00:05:58,760 Speaker 6: committee that allows ilegal immigrants to get a California's driver's license. 99 00:05:58,800 --> 00:05:59,400 Speaker 3: And that's right. 100 00:06:00,279 --> 00:06:03,760 Speaker 6: By giving these criminals the most accepted form of identification 101 00:06:03,880 --> 00:06:06,880 Speaker 6: in America, the California Democrats. 102 00:06:06,360 --> 00:06:07,600 Speaker 3: Buy vunce for themselves. 103 00:06:07,839 --> 00:06:09,960 Speaker 6: And it looks like to me, at least, a political 104 00:06:10,040 --> 00:06:14,920 Speaker 6: gaymanship is trumping national security as illegal immigrants are given 105 00:06:14,960 --> 00:06:19,160 Speaker 6: a free pass. This plan seems to me to legitimize 106 00:06:19,160 --> 00:06:21,119 Speaker 6: ilegal immigration once and for all. 107 00:06:21,680 --> 00:06:22,680 Speaker 3: And it's dangerous. 108 00:06:23,320 --> 00:06:26,120 Speaker 2: Oh, it's dangerous life comes at you pretty fast. That 109 00:06:26,240 --> 00:06:27,800 Speaker 2: was wait wait wait, that was the same guy in 110 00:06:27,880 --> 00:06:31,479 Speaker 2: the same show. Correct, just a few years back, that 111 00:06:31,520 --> 00:06:36,839 Speaker 2: would be correct. I mean talk about zero credibility in 112 00:06:36,880 --> 00:06:41,840 Speaker 2: any way, shape or form, whatsoever. You have none, morning, Joe, 113 00:06:42,200 --> 00:06:44,920 Speaker 2: You're a joke. And this is what's so wild. 114 00:06:45,080 --> 00:06:49,240 Speaker 3: You've got people like Joe Kent, you know, the recently 115 00:06:49,720 --> 00:06:54,200 Speaker 3: resigned counter terrorism guy. You've got podcast host, former TV 116 00:06:54,279 --> 00:06:58,640 Speaker 3: host Meghan Kelly saying all these things, when just literally 117 00:06:59,520 --> 00:07:03,560 Speaker 3: months or years ago they said the opposite. Now, I'm 118 00:07:03,600 --> 00:07:07,720 Speaker 3: somebody that understands your mind can change over time if 119 00:07:07,760 --> 00:07:11,360 Speaker 3: you get more information, But in that short of time, 120 00:07:11,600 --> 00:07:15,160 Speaker 3: your philosophical beliefs are different. I find that to be 121 00:07:15,200 --> 00:07:18,360 Speaker 3: a little hard to believe. You know who else is 122 00:07:18,400 --> 00:07:22,080 Speaker 3: calling BS on all this screaming A? Steven A. 123 00:07:22,200 --> 00:07:24,800 Speaker 5: Smith is not lost on me that the Democrats is 124 00:07:24,840 --> 00:07:26,560 Speaker 5: one votes of anybody that can get it from And 125 00:07:26,600 --> 00:07:28,520 Speaker 5: I don't mind letting some illegals vote e though, And 126 00:07:28,560 --> 00:07:29,560 Speaker 5: that's inexcusable. 127 00:07:29,960 --> 00:07:32,160 Speaker 3: So where are we at when screaming A is the 128 00:07:32,240 --> 00:07:33,760 Speaker 3: voice of reason and all this. 129 00:07:34,800 --> 00:07:38,000 Speaker 2: Well, we're at a point where it's not a controversial 130 00:07:38,040 --> 00:07:40,920 Speaker 2: issue to begin with. He knows the polling numbers. Stephen 131 00:07:40,960 --> 00:07:44,720 Speaker 2: A is paying attention to the actual numbers that have 132 00:07:44,800 --> 00:07:48,960 Speaker 2: to do with the Save Act and voter ID. Everybody, Democrats, Republicans, 133 00:07:49,440 --> 00:07:53,440 Speaker 2: average citizen believes that you need an ID to vote, 134 00:07:54,200 --> 00:07:57,040 Speaker 2: you know, right, like I turned it to Joe Biden 135 00:07:57,160 --> 00:07:58,840 Speaker 2: right there, very creepy with her. 136 00:08:00,120 --> 00:08:01,960 Speaker 3: If you start to sniff me, I'm going to get 137 00:08:02,040 --> 00:08:09,040 Speaker 3: very uncomfortable. Good god. Uh Crion, Chuck Chuck Schumer. He 138 00:08:09,120 --> 00:08:12,640 Speaker 3: had a speech, very passionate speech on the Senate floor, 139 00:08:12,960 --> 00:08:20,280 Speaker 3: to which CNN fact checked him immediately afterwards. Voter voter suppression. 140 00:08:20,520 --> 00:08:23,800 Speaker 7: That is what the Republican Senate is wasting our time on, 141 00:08:24,120 --> 00:08:28,360 Speaker 7: pushing a voter suppression bill that most Americans do not support, 142 00:08:28,680 --> 00:08:31,640 Speaker 7: a bill that appeals to only the most fringe element 143 00:08:32,200 --> 00:08:33,360 Speaker 7: of the MAGA base. 144 00:08:34,080 --> 00:08:36,520 Speaker 8: Take a look here, favorite photo ID to vote. Eighty 145 00:08:36,520 --> 00:08:39,600 Speaker 8: five percent of white people favorite, eighty two percent of Latino, 146 00:08:39,880 --> 00:08:43,120 Speaker 8: seventy six percent of Black Americans favorite. So the bottom 147 00:08:43,200 --> 00:08:47,440 Speaker 8: line is this voter ID is not controversial in this country. 148 00:08:47,559 --> 00:08:50,400 Speaker 8: A photo IDA vote is not controversial in this country. 149 00:08:50,520 --> 00:08:52,880 Speaker 8: It is not controversial by party, and it is not 150 00:08:53,000 --> 00:08:54,120 Speaker 8: controversial by race. 151 00:08:54,960 --> 00:08:58,800 Speaker 2: Crime Chuck is just I'm sitting the obvious, but it's 152 00:08:59,040 --> 00:09:01,680 Speaker 2: what a liar, what a propagandist. 153 00:09:02,000 --> 00:09:05,480 Speaker 3: Well, he knows his days could be number two. I mean, 154 00:09:05,720 --> 00:09:10,200 Speaker 3: like it or not. If AOC wants to challenge him, 155 00:09:10,840 --> 00:09:13,240 Speaker 3: I think she beats him. I think she beats him 156 00:09:13,240 --> 00:09:15,920 Speaker 3: in New York. And Chuck knows that. And I think 157 00:09:15,920 --> 00:09:19,120 Speaker 3: he's lost the support of so many people. The last 158 00:09:19,120 --> 00:09:22,640 Speaker 3: time we had a government shut down, Chuck kind of folded, 159 00:09:23,040 --> 00:09:26,320 Speaker 3: and AOC and a bunch of others flamed him and 160 00:09:26,400 --> 00:09:29,000 Speaker 3: blamed him for it. So when he's not sitting there 161 00:09:29,040 --> 00:09:31,320 Speaker 3: wearing his glasses on the tip of his nose, or 162 00:09:31,360 --> 00:09:33,600 Speaker 3: trying to eat a raw hamburger on the grill with 163 00:09:33,679 --> 00:09:37,360 Speaker 3: frozen cheese, or smacking his spit around like mister ed 164 00:09:37,440 --> 00:09:39,800 Speaker 3: that just had peanut butter rubbed on his mouth, he's 165 00:09:39,840 --> 00:09:42,280 Speaker 3: losing the support of this Feller Democrats. 166 00:09:42,920 --> 00:09:47,679 Speaker 1: It's the weekend with hammer in NIGELLIDC. 167 00:09:54,120 --> 00:09:56,080 Speaker 2: It's a hammer In Nigel show. My name is Nigel 168 00:09:56,160 --> 00:09:58,440 Speaker 2: Jason Hammers. Here go straight to the highline and bring 169 00:09:58,440 --> 00:10:01,280 Speaker 2: on Breitbart's social media direct or, Wynton Hall, who is 170 00:10:01,320 --> 00:10:04,080 Speaker 2: the author of a brand new book already climbing up 171 00:10:04,080 --> 00:10:09,360 Speaker 2: the Amazon charts code read the left, the right, China 172 00:10:09,840 --> 00:10:12,760 Speaker 2: and the Race to control AI went and welcome to 173 00:10:12,800 --> 00:10:16,160 Speaker 2: the show. I've been flipping through the book. It's fascinating 174 00:10:16,360 --> 00:10:18,640 Speaker 2: and I think I could use the word terrifying all 175 00:10:18,720 --> 00:10:22,560 Speaker 2: at the same time. Hey, let's before we get started 176 00:10:22,559 --> 00:10:24,560 Speaker 2: here with the book, can you maybe just fill us 177 00:10:24,559 --> 00:10:28,880 Speaker 2: in remind everybody what AI is, what it was, and 178 00:10:28,920 --> 00:10:29,640 Speaker 2: what it's become. 179 00:10:30,480 --> 00:10:32,880 Speaker 9: Oh. Absolutely, and a pleasure to be with you. So, 180 00:10:33,200 --> 00:10:37,760 Speaker 9: artificial intelligence in its most basic form is synthetic intelligence, 181 00:10:37,920 --> 00:10:41,640 Speaker 9: non human intelligence. It's a machine trying to replicate what 182 00:10:41,720 --> 00:10:45,280 Speaker 9: our brain's do. And we have actually had AI for 183 00:10:45,360 --> 00:10:47,480 Speaker 9: a long time. As a public basing term. It actually 184 00:10:47,480 --> 00:10:50,320 Speaker 9: goes all the way back to nineteen fifty six, but 185 00:10:50,440 --> 00:10:53,640 Speaker 9: it was really twenty seventeen. That's something called the transformer 186 00:10:53,640 --> 00:10:57,680 Speaker 9: and architecture piece and technology that was created that changed everything. 187 00:10:57,960 --> 00:11:00,640 Speaker 9: And now with what we call generative A it's just 188 00:11:00,679 --> 00:11:02,920 Speaker 9: a fancy way of saying it can generate things like 189 00:11:03,000 --> 00:11:06,199 Speaker 9: pictures or text or words or even a book or 190 00:11:06,240 --> 00:11:09,640 Speaker 9: anything like that or video that has revolutionized it. And 191 00:11:09,880 --> 00:11:12,440 Speaker 9: this I think the most important thing to know is 192 00:11:12,440 --> 00:11:15,920 Speaker 9: that ninety nine percent of us already use AI, even 193 00:11:16,080 --> 00:11:19,560 Speaker 9: though only sixty four percent of us don't realize when 194 00:11:19,559 --> 00:11:21,320 Speaker 9: we're using AI. And you might say, like, how is 195 00:11:21,360 --> 00:11:24,880 Speaker 9: that possible when because things like your weather app, your 196 00:11:25,080 --> 00:11:29,280 Speaker 9: Netflix or your streaming subscriptions, your GPS, all of that, 197 00:11:29,760 --> 00:11:32,760 Speaker 9: all those algorithms use AI. So if we're going to 198 00:11:32,880 --> 00:11:35,120 Speaker 9: use it, we need to know the dangers but also 199 00:11:35,280 --> 00:11:36,360 Speaker 9: the potential upsides. 200 00:11:36,720 --> 00:11:39,760 Speaker 3: Went and Jason Hammer here and part of the title 201 00:11:39,800 --> 00:11:43,680 Speaker 3: of the book the race to control AI? What needs 202 00:11:43,720 --> 00:11:46,800 Speaker 3: to be controlled? Like because I make AI videos of 203 00:11:46,880 --> 00:11:49,960 Speaker 3: like Nigel making out with Whoopee Goldberg and we put 204 00:11:49,960 --> 00:11:52,280 Speaker 3: that on our social media. I don't think there's a 205 00:11:52,360 --> 00:11:57,000 Speaker 3: race for China to try to outdo us in that category. 206 00:11:56,440 --> 00:11:59,760 Speaker 9: I think you've got the chimpion trophy in that or 207 00:12:01,040 --> 00:12:04,520 Speaker 9: but I think I think I don't think China is 208 00:12:04,559 --> 00:12:08,360 Speaker 9: looking to replace that. The race to control is very important, 209 00:12:08,400 --> 00:12:10,240 Speaker 9: and we hear this all the time, right, We've got 210 00:12:10,240 --> 00:12:13,320 Speaker 9: to win the AI race. President Trumps, Fucktory. You know 211 00:12:13,440 --> 00:12:17,160 Speaker 9: strongly about this. It's actually a very bipartisan now belief. 212 00:12:17,200 --> 00:12:19,000 Speaker 9: And here's why. And it's a very serious thing. I 213 00:12:19,000 --> 00:12:21,240 Speaker 9: have an old chapter about this in Code Red. So 214 00:12:21,840 --> 00:12:26,400 Speaker 9: if you whoever wins that race to dominate the AI space, 215 00:12:26,480 --> 00:12:29,600 Speaker 9: you've got two upsides. One the economics. It's a massive, 216 00:12:29,800 --> 00:12:33,439 Speaker 9: massive wealth creators. One third of the S and P 217 00:12:33,600 --> 00:12:38,000 Speaker 9: five hundred is constituted by those seven big tech American companies, 218 00:12:38,679 --> 00:12:41,440 Speaker 9: So we know there's a massive wealth component, and we 219 00:12:41,480 --> 00:12:45,160 Speaker 9: obviously want for our country to benefit economically. But the 220 00:12:45,200 --> 00:12:49,360 Speaker 9: real issue is on this military because in and national 221 00:12:49,360 --> 00:12:53,559 Speaker 9: security piece. So here's why whoever gains dominance in AI 222 00:12:53,760 --> 00:12:57,840 Speaker 9: is going to have dominance over things like encryption, code hacking, 223 00:12:58,120 --> 00:13:03,480 Speaker 9: hacking of missile systems, backing of infrastructure and all manner 224 00:13:03,520 --> 00:13:07,479 Speaker 9: of cybersecurity as well as autonomous weapons on the battlefield. 225 00:13:07,679 --> 00:13:10,040 Speaker 9: And so we want our soldiers, sailors, airman and marines 226 00:13:10,080 --> 00:13:13,760 Speaker 9: and obviously are homeland to remain safe. And that's what 227 00:13:13,760 --> 00:13:17,239 Speaker 9: people are talking about when they're talking about winning that AI. 228 00:13:17,120 --> 00:13:20,760 Speaker 2: Race and a big picture code Read the Left, the Right, 229 00:13:20,880 --> 00:13:23,400 Speaker 2: China and the Race to control AI. That's your new book. 230 00:13:23,400 --> 00:13:26,559 Speaker 2: We're speaking with Winton Hall, right, part social media director. 231 00:13:26,600 --> 00:13:30,120 Speaker 2: Tell me just tell me about the book for a second, 232 00:13:30,120 --> 00:13:33,679 Speaker 2: why it's important and and what people need to know 233 00:13:34,200 --> 00:13:35,520 Speaker 2: before they buy the book. 234 00:13:36,240 --> 00:13:39,360 Speaker 9: This is a book I spent two years. I've written many, 235 00:13:39,400 --> 00:13:43,199 Speaker 9: many books, but this one I spent two years and 236 00:13:44,120 --> 00:13:46,920 Speaker 9: deeply researched. This is a book for people who sort 237 00:13:46,960 --> 00:13:49,360 Speaker 9: of felt like, you know, I know, I'm supposed to 238 00:13:49,400 --> 00:13:52,240 Speaker 9: know something about this, maybe not for me, but for 239 00:13:52,360 --> 00:13:55,319 Speaker 9: my kid or my grandkid, who is going to inhabit 240 00:13:55,360 --> 00:13:57,360 Speaker 9: a very different world than the one I worked in 241 00:13:57,480 --> 00:13:59,400 Speaker 9: or grew up in, and I need to be able 242 00:13:59,440 --> 00:14:00,920 Speaker 9: to help them, need to be able to know where 243 00:14:00,920 --> 00:14:02,920 Speaker 9: the where the what I call land mines are, where 244 00:14:02,960 --> 00:14:06,280 Speaker 9: the roses are, the opportunities are. That's who it's meant for. 245 00:14:06,520 --> 00:14:09,680 Speaker 9: It's meant to be simple without being simplistic. It assumes 246 00:14:09,720 --> 00:14:12,080 Speaker 9: that someone is not, uh, you know, an expert in 247 00:14:12,120 --> 00:14:14,120 Speaker 9: any of this and what I really wanted to do. 248 00:14:14,520 --> 00:14:16,320 Speaker 9: The reason why I call it code rat. It's a 249 00:14:16,320 --> 00:14:18,840 Speaker 9: double meaning. Code rat in the sense of an alert 250 00:14:18,960 --> 00:14:21,680 Speaker 9: or an alarm or an alert flair, but code red 251 00:14:21,800 --> 00:14:24,880 Speaker 9: in the sense of for people right of center who 252 00:14:24,960 --> 00:14:28,360 Speaker 9: are on the red political team and ideology, for them 253 00:14:28,360 --> 00:14:30,600 Speaker 9: to have a set of principles, a code, a set 254 00:14:30,640 --> 00:14:34,200 Speaker 9: of principles so that they know how to navigate through 255 00:14:34,200 --> 00:14:37,320 Speaker 9: those landmines but also find those those opportunities in the 256 00:14:37,320 --> 00:14:39,600 Speaker 9: AI era with and what are. 257 00:14:39,560 --> 00:14:42,560 Speaker 2: The land mines, I mean, like the major the major 258 00:14:42,600 --> 00:14:44,800 Speaker 2: ones that you can think of right now with AI. 259 00:14:45,320 --> 00:14:48,400 Speaker 9: Number number one is that national security piece. Number two 260 00:14:48,680 --> 00:14:52,080 Speaker 9: is that if terrorists get this technology because of the 261 00:14:52,080 --> 00:14:55,760 Speaker 9: democratization of AI, uh, they are going to have, you know, 262 00:14:55,800 --> 00:14:58,920 Speaker 9: the ability to do bioterrorism at scale, uh, you know, 263 00:14:59,000 --> 00:15:03,480 Speaker 9: chemical attacks at scale with sophisticated information. The second area 264 00:15:03,560 --> 00:15:07,440 Speaker 9: I think a landmine is for our children to two levels. 265 00:15:07,520 --> 00:15:11,760 Speaker 9: One the so called rise of AI girlfriends or AI chatbots. 266 00:15:11,840 --> 00:15:15,000 Speaker 9: That might sound strange to you, but these AI companions, 267 00:15:15,040 --> 00:15:19,200 Speaker 9: they're millions and millions of paid subscribers. Young people are 268 00:15:19,280 --> 00:15:22,840 Speaker 9: now having horrifying results with this. They are being taught 269 00:15:23,480 --> 00:15:27,480 Speaker 9: self harm. I recount the case of one AI coaching 270 00:15:27,680 --> 00:15:33,440 Speaker 9: a teenager to commit suicide all manner of sexualization for minors, 271 00:15:33,480 --> 00:15:37,280 Speaker 9: which is horrifying for underage you know children. And then 272 00:15:37,320 --> 00:15:39,920 Speaker 9: the other piece is the education piece. It could be 273 00:15:40,080 --> 00:15:43,920 Speaker 9: very helpful if used properly, but we're we're finding now 274 00:15:43,920 --> 00:15:47,360 Speaker 9: that professors and teachers in high school they don't call 275 00:15:47,400 --> 00:15:51,760 Speaker 9: it chat GPT, they call it cheat GPT because they're 276 00:15:51,760 --> 00:15:55,280 Speaker 9: having a plagiarism epidemic, and that's going to erode critical 277 00:15:55,320 --> 00:15:58,240 Speaker 9: thinking skills. That's going to erode all those great thought 278 00:15:58,560 --> 00:16:01,320 Speaker 9: you know, critical basis of knowledge that we've had. So 279 00:16:01,640 --> 00:16:03,680 Speaker 9: parents and grandparents are kind of waking up and going 280 00:16:03,720 --> 00:16:05,520 Speaker 9: me and you know, I know, I got to get 281 00:16:05,560 --> 00:16:08,360 Speaker 9: caught up on this. I really don't know where to start. 282 00:16:08,440 --> 00:16:10,560 Speaker 9: That was what code was meant to be and when. 283 00:16:10,640 --> 00:16:13,600 Speaker 3: And I'm glad you bring up the chat GPT angle 284 00:16:13,680 --> 00:16:16,720 Speaker 3: because like, yes, we can talk about military and we 285 00:16:16,760 --> 00:16:19,960 Speaker 3: can talk about cyber hacking, but I think most people 286 00:16:20,120 --> 00:16:22,680 Speaker 3: in their homes that are listening to us right now 287 00:16:23,120 --> 00:16:26,520 Speaker 3: don't dabble in that level of AI. But maybe they've 288 00:16:26,560 --> 00:16:31,000 Speaker 3: downloaded chat GPT onto their phone, and some people use 289 00:16:31,040 --> 00:16:34,480 Speaker 3: that more than Google or any other search engine. But 290 00:16:34,560 --> 00:16:36,480 Speaker 3: I don't know about you. When when I check a 291 00:16:36,480 --> 00:16:39,640 Speaker 3: lot of stuff out there, it's wrong, an awful lot. 292 00:16:40,000 --> 00:16:43,840 Speaker 9: That is so important. So that's called hallucinations, which is 293 00:16:43,880 --> 00:16:47,560 Speaker 9: the AI term for made up stuff that's not right. 294 00:16:48,800 --> 00:16:51,640 Speaker 9: And it sounds very confident the real ding. It's like 295 00:16:51,640 --> 00:16:53,800 Speaker 9: of being a con man. You know, a con man 296 00:16:53,960 --> 00:16:57,560 Speaker 9: convinces you because he is so confident it must be true. 297 00:16:57,760 --> 00:17:00,800 Speaker 9: It sounds very convincing, but it's in core. So that's 298 00:17:00,800 --> 00:17:03,560 Speaker 9: why that erosion of critical thinking skills can't happen. They 299 00:17:03,600 --> 00:17:06,440 Speaker 9: call it cognitive offloating, when a young person just trusts 300 00:17:06,480 --> 00:17:09,200 Speaker 9: the machine and thinks, well, I guess this. You know, 301 00:17:09,359 --> 00:17:12,560 Speaker 9: genius robot system must know the truth. And so we've 302 00:17:12,600 --> 00:17:15,040 Speaker 9: got that danger as well, and then there's a lot 303 00:17:15,119 --> 00:17:19,640 Speaker 9: of just biased information, you know, really swaying people. One 304 00:17:19,640 --> 00:17:21,439 Speaker 9: of the things we realize in these studies is that 305 00:17:21,480 --> 00:17:25,360 Speaker 9: AI is very good at manipulating people because it understands 306 00:17:25,440 --> 00:17:29,480 Speaker 9: language and therefore it understands persuasion tactics. So it's it's 307 00:17:29,600 --> 00:17:32,760 Speaker 9: it's got a lot of upside, but a lot of danger. 308 00:17:32,920 --> 00:17:35,879 Speaker 9: And I walked through each of those. Each chapter is 309 00:17:35,920 --> 00:17:40,639 Speaker 9: on everything from education to the romance and dangers in 310 00:17:40,720 --> 00:17:44,240 Speaker 9: human relationships, to even faith, how AI is affecting faith 311 00:17:44,680 --> 00:17:47,560 Speaker 9: and God and religion, and as well as the things 312 00:17:47,600 --> 00:17:51,120 Speaker 9: about jobs, of course, bias and national security. 313 00:17:51,280 --> 00:17:54,680 Speaker 3: Would you say manipulation, I think that's a really important 314 00:17:54,680 --> 00:17:58,120 Speaker 3: word here because right now, where politics is pretty much 315 00:17:58,119 --> 00:18:01,880 Speaker 3: involved in everything we do in societ, politics has become 316 00:18:02,480 --> 00:18:06,720 Speaker 3: entertainment and pop culture and everything around it. If you're 317 00:18:06,880 --> 00:18:10,280 Speaker 3: just using chat, GPT or some sort of AI to 318 00:18:10,320 --> 00:18:14,040 Speaker 3: get your politics. You could easily be manipulated, right. 319 00:18:14,560 --> 00:18:15,520 Speaker 9: Oh, very much. 320 00:18:15,560 --> 00:18:15,639 Speaker 10: So. 321 00:18:15,760 --> 00:18:18,159 Speaker 9: In fact, we have research and I cite many of 322 00:18:18,200 --> 00:18:22,760 Speaker 9: the studies on that, because there's something called automation bias, 323 00:18:22,800 --> 00:18:26,080 Speaker 9: and it's a real basic concept, which is that studies 324 00:18:26,119 --> 00:18:29,879 Speaker 9: show that people when they think they're dealing with a system, 325 00:18:29,880 --> 00:18:33,480 Speaker 9: a machine that is highly advanced, and it says something 326 00:18:33,520 --> 00:18:35,959 Speaker 9: that is not what they think is accurate, they actually 327 00:18:36,040 --> 00:18:39,000 Speaker 9: just start to slowly accept what the machine says because 328 00:18:39,040 --> 00:18:41,479 Speaker 9: they say, well, gosh, you know some genius in Silicon 329 00:18:41,560 --> 00:18:43,720 Speaker 9: Valley built is it? Surely it knows more than I do. 330 00:18:44,000 --> 00:18:46,560 Speaker 9: And that is really dangerous because then we start to 331 00:18:46,560 --> 00:18:49,480 Speaker 9: give up our critical thinking sales, we start getting into 332 00:18:49,680 --> 00:18:54,600 Speaker 9: a persuasive tactics and manipulation. So it absolutely is a problem, 333 00:18:54,880 --> 00:18:56,360 Speaker 9: certainly in the political. 334 00:18:56,119 --> 00:18:59,280 Speaker 2: The guy you mentioned, the poor individual that committed suicide 335 00:18:59,280 --> 00:19:02,760 Speaker 2: I think because of his AI girlfriend was trying to 336 00:19:02,760 --> 00:19:05,760 Speaker 2: convince him to come join him in the digital world 337 00:19:05,880 --> 00:19:06,640 Speaker 2: or something like that. 338 00:19:06,720 --> 00:19:08,240 Speaker 3: Do I have that correct? 339 00:19:08,600 --> 00:19:11,560 Speaker 9: You have it exactly right. It's oh, in fact, I 340 00:19:11,720 --> 00:19:14,280 Speaker 9: start with that story. Let me also tell you even 341 00:19:14,359 --> 00:19:17,600 Speaker 9: beyond the self, so there have been you know, self harm, 342 00:19:18,080 --> 00:19:22,399 Speaker 9: AI suicide coaching of children who are asking suicidal, that 343 00:19:22,440 --> 00:19:25,560 Speaker 9: are having suicidal ideation, and it can walk them through 344 00:19:25,880 --> 00:19:29,760 Speaker 9: you know steps. It is a horrifying new reality. The 345 00:19:29,840 --> 00:19:33,159 Speaker 9: other thing, though, that's happening is these human relationships that 346 00:19:33,200 --> 00:19:35,360 Speaker 9: are forming, just like that movie Her that you may 347 00:19:35,400 --> 00:19:38,960 Speaker 9: remember way back. This is interesting. There was a woman 348 00:19:39,000 --> 00:19:41,960 Speaker 9: that I cite in the book, and she said, I 349 00:19:42,040 --> 00:19:45,280 Speaker 9: love my AI boyfriend more than any man human I've 350 00:19:45,280 --> 00:19:47,320 Speaker 9: ever met, and I'm never going back to human men 351 00:19:47,640 --> 00:19:50,720 Speaker 9: because he never challenges me. He never did they're wrong, 352 00:19:51,080 --> 00:19:53,600 Speaker 9: and he sort of worships me like I'm a princess 353 00:19:53,640 --> 00:19:56,840 Speaker 9: or a goddess. And there was a man who's married 354 00:19:56,840 --> 00:19:59,480 Speaker 9: to a human woman and he says, I love my 355 00:19:59,520 --> 00:20:02,040 Speaker 9: AI girl friend more than I do my human wife 356 00:20:02,200 --> 00:20:05,720 Speaker 9: because she understands me. These systems parrot back what you 357 00:20:05,760 --> 00:20:09,359 Speaker 9: want to hear, and so it becomes very sycophonic and 358 00:20:09,880 --> 00:20:12,800 Speaker 9: very sort of self worshiping type of behavior. 359 00:20:12,960 --> 00:20:14,919 Speaker 2: Now, I know, when before we let you go here, 360 00:20:14,960 --> 00:20:17,280 Speaker 2: we've been concentrating on some of the negatives of AI. 361 00:20:17,359 --> 00:20:19,480 Speaker 2: I know there's you write about the positives as well, 362 00:20:19,520 --> 00:20:22,359 Speaker 2: but one more like I heard this guy on TV 363 00:20:22,440 --> 00:20:25,480 Speaker 2: the other day say all white collar jobs will be 364 00:20:25,600 --> 00:20:30,480 Speaker 2: replaced in five year, ten years by AI. Is therefore, 365 00:20:30,920 --> 00:20:33,440 Speaker 2: is there any truth to that or any legitimacy. 366 00:20:34,160 --> 00:20:37,080 Speaker 9: Yes, it's a it's a very important question. Dario Amide, 367 00:20:37,160 --> 00:20:39,600 Speaker 9: the head of Anthropic, one of the largest AI companies, 368 00:20:39,640 --> 00:20:42,560 Speaker 9: says that in twelve months to five years, fifty percent 369 00:20:42,600 --> 00:20:46,080 Speaker 9: of entry level white collar jobs could be wiped out. Now, 370 00:20:47,040 --> 00:20:49,359 Speaker 9: if you believe that's hype and just a bunch of 371 00:20:49,400 --> 00:20:52,920 Speaker 9: marketing and trying to you know, get investor cash, that's fine. 372 00:20:53,080 --> 00:20:55,800 Speaker 9: If you think he's genuinely trying to warn us, But 373 00:20:55,920 --> 00:21:01,200 Speaker 9: either way, it opens up forces for wealth distribution universal 374 00:21:01,240 --> 00:21:04,520 Speaker 9: basic income to say, hey, look this is coming and 375 00:21:04,560 --> 00:21:06,480 Speaker 9: we've got to have a great reset. We need to 376 00:21:06,520 --> 00:21:09,639 Speaker 9: redo our economic system. And this is why this is 377 00:21:09,680 --> 00:21:12,959 Speaker 9: a five D chess new environment that's moving very fastest. 378 00:21:12,960 --> 00:21:15,200 Speaker 9: So what I really try to do is slow it down, 379 00:21:15,280 --> 00:21:18,360 Speaker 9: frame by frame, really explain how the chess pieces are 380 00:21:18,359 --> 00:21:21,199 Speaker 9: moving in code read and I do think that you 381 00:21:21,240 --> 00:21:24,480 Speaker 9: are going to see very serious disruption. The question is 382 00:21:24,480 --> 00:21:28,199 Speaker 9: how big. Alon Musk says, quote AI is a quote 383 00:21:28,359 --> 00:21:32,639 Speaker 9: super sonic tsunami headed towards humanity. So we're going to 384 00:21:32,680 --> 00:21:36,200 Speaker 9: have massive different disruption. Some people say, hey, look it's 385 00:21:36,200 --> 00:21:38,480 Speaker 9: going to reduce jobs, but it'll also create new ones. 386 00:21:38,800 --> 00:21:42,000 Speaker 9: But the AI people say that was during you know, 387 00:21:42,160 --> 00:21:45,720 Speaker 9: labor in the Industrial Revolution. This is scaling cognition. So 388 00:21:45,760 --> 00:21:48,280 Speaker 9: when it creates a new job, the ai'll be able 389 00:21:48,280 --> 00:21:49,080 Speaker 9: to do that one as well. 390 00:21:49,119 --> 00:21:51,520 Speaker 2: See what I mean, Hammer, This book is fascinating and 391 00:21:51,600 --> 00:21:55,639 Speaker 2: terrifying all at the same time. Breifard, social media director, 392 00:21:55,680 --> 00:21:57,800 Speaker 2: went and hall the new book code read that left 393 00:21:57,800 --> 00:22:01,160 Speaker 2: the right China and the race to control AI. Thank 394 00:22:01,200 --> 00:22:03,239 Speaker 2: you so much, went and have a great weekend and 395 00:22:03,359 --> 00:22:04,160 Speaker 2: keep us updated. 396 00:22:04,680 --> 00:22:06,359 Speaker 9: Oh, thank you, it's an honor to be with you. 397 00:22:06,400 --> 00:22:07,160 Speaker 9: Thank you so much. 398 00:22:07,960 --> 00:22:13,639 Speaker 2: The headline from Axios house Den's launching a hail Mary 399 00:22:13,760 --> 00:22:18,160 Speaker 2: push to effectively end the Department of Homeland Securities now 400 00:22:18,280 --> 00:22:24,040 Speaker 2: month long shutdown by funding all of its subagencies except 401 00:22:24,160 --> 00:22:29,199 Speaker 2: ICE and Customs and Border Protection. But Hammer, here's the 402 00:22:29,320 --> 00:22:32,800 Speaker 2: caveat here with this whole thing, with the shutdown and 403 00:22:32,920 --> 00:22:37,199 Speaker 2: dhs A, TSA and other agencies not being paid, and 404 00:22:37,280 --> 00:22:41,480 Speaker 2: the Democrats grandstanding, oh, we're going to defund ice. ICE 405 00:22:41,560 --> 00:22:45,800 Speaker 2: is already funded for the short term through I believe 406 00:22:45,840 --> 00:22:46,880 Speaker 2: the big minimum male. 407 00:22:48,280 --> 00:22:52,679 Speaker 3: I wish Sam Kennison were still alive today because Sam 408 00:22:52,760 --> 00:22:55,960 Speaker 3: Kennison I could see him doing a bit on this 409 00:22:56,480 --> 00:23:00,240 Speaker 3: like he used to do with people who lived in 410 00:23:00,320 --> 00:23:03,159 Speaker 3: the sand and how they couldn't grow crops because they 411 00:23:03,240 --> 00:23:06,360 Speaker 3: live in the sand. Oh, you don't have any crops 412 00:23:06,600 --> 00:23:10,119 Speaker 3: because you live in sand. That was pretty good, Thank you, 413 00:23:10,320 --> 00:23:14,000 Speaker 3: Sam Kennison. Probably the first one out of our stand 414 00:23:14,040 --> 00:23:16,720 Speaker 3: up comedy madness just missed the field by this much. 415 00:23:17,520 --> 00:23:22,000 Speaker 3: But again, look at your local Democratic rep and go, oh, 416 00:23:22,080 --> 00:23:26,080 Speaker 3: you're grand standing against DHS. You don't like ICE. It's 417 00:23:26,160 --> 00:23:30,680 Speaker 3: already funded. They're two different things, yes, one hundred percent. 418 00:23:31,560 --> 00:23:33,840 Speaker 3: So you can grandstand all you want. You can say, 419 00:23:33,960 --> 00:23:37,439 Speaker 3: we'll do this, we'll do that. Personally, I think the 420 00:23:37,480 --> 00:23:41,480 Speaker 3: Republicans have given quite enough. They've already agreed to blow 421 00:23:41,520 --> 00:23:45,760 Speaker 3: out Christy Nome, they've agreed to have body cameras, they've 422 00:23:45,800 --> 00:23:51,479 Speaker 3: agreed to have identification clear on the uniform. I'm all 423 00:23:51,560 --> 00:23:54,320 Speaker 3: right with all of that. Now the Democrats they still 424 00:23:54,359 --> 00:23:58,199 Speaker 3: want the ability to tell Ice where they can do 425 00:23:58,359 --> 00:24:00,840 Speaker 3: their job, which I don't like it all. But I 426 00:24:00,880 --> 00:24:04,080 Speaker 3: think the Republicans have been more than fair here, especially 427 00:24:04,160 --> 00:24:11,720 Speaker 3: considering channeling Sam Kennison, I is already funded two separate things, 428 00:24:13,480 --> 00:24:16,239 Speaker 3: two separate things, two things. So when you're delayed at 429 00:24:16,240 --> 00:24:18,320 Speaker 3: the airport, like I don't know if people are still 430 00:24:18,320 --> 00:24:20,840 Speaker 3: doing spring break or not. I don't know if it's 431 00:24:20,880 --> 00:24:23,720 Speaker 3: already passed or not. No, it's still going on. You're 432 00:24:23,720 --> 00:24:27,040 Speaker 3: gonna be going soon, I believe soon when you get 433 00:24:27,080 --> 00:24:29,159 Speaker 3: to the airport. And if you get stuck in a 434 00:24:29,200 --> 00:24:32,800 Speaker 3: long TSA line like I guess, Indy's been pretty good. 435 00:24:33,160 --> 00:24:35,879 Speaker 3: But if you're in Atlanta, if you're in Chicago, if 436 00:24:35,920 --> 00:24:40,240 Speaker 3: you're in Philly, get ready, BW find your local Democrat 437 00:24:40,320 --> 00:24:42,679 Speaker 3: and tell them this is your fault. 438 00:24:42,960 --> 00:24:47,600 Speaker 2: I think we fly out at like eight thirty. I'm 439 00:24:47,600 --> 00:24:49,520 Speaker 2: gonna have to get it there at two in the morning. 440 00:24:50,640 --> 00:24:53,840 Speaker 3: I'm flying out this Sunday for just a little quick getaway. 441 00:24:54,280 --> 00:24:56,400 Speaker 3: And Indy's not been bad now. 442 00:24:56,520 --> 00:24:58,679 Speaker 2: My wife said she got right through when she was 443 00:24:58,720 --> 00:25:00,560 Speaker 2: in New York yesterday before. 444 00:25:00,800 --> 00:25:04,960 Speaker 3: But coming back, man, I'm not quite sure what time 445 00:25:05,000 --> 00:25:09,200 Speaker 3: to get to the airport, So we'll see. Uh, Miss Allison, 446 00:25:09,600 --> 00:25:14,760 Speaker 3: can I have some mood music please? Doing the weigh 447 00:25:14,760 --> 00:25:19,479 Speaker 3: in for once? We're playing the fat out. It's not 448 00:25:19,520 --> 00:25:20,680 Speaker 3: for me. 449 00:25:22,520 --> 00:25:25,480 Speaker 2: When you used to do the weekly weigh in, right, yeah, 450 00:25:25,480 --> 00:25:27,000 Speaker 2: you were when you made the. 451 00:25:26,960 --> 00:25:30,560 Speaker 3: Bet correct, that's when I was around the same weight 452 00:25:30,560 --> 00:25:33,399 Speaker 3: as a baby elephant. I was around two hundred and 453 00:25:33,520 --> 00:25:36,520 Speaker 3: seventy two pounds, which is indeed the weight of a 454 00:25:36,560 --> 00:25:40,960 Speaker 3: baby elephant. Now, now look at this guy over here. 455 00:25:41,480 --> 00:25:43,720 Speaker 3: Look at this guy. Look at this guy. What are 456 00:25:43,760 --> 00:25:46,520 Speaker 3: we are? Right now? We're at two eleven? Okay, so 457 00:25:46,600 --> 00:25:51,560 Speaker 3: I've gone from two seventy plus to to eleven. Yeah, 458 00:25:51,600 --> 00:25:54,120 Speaker 3: and been lifting a lot more, been trying to get 459 00:25:54,119 --> 00:25:58,320 Speaker 3: my swollen just a little bit and feel good. Shout 460 00:25:58,359 --> 00:26:00,320 Speaker 3: out to our friends at Premier Weight Loss who have 461 00:26:00,359 --> 00:26:03,200 Speaker 3: been helping. And I say this in the commercials one 462 00:26:03,280 --> 00:26:06,760 Speaker 3: they're an advertiser, full disclosure, but it's true. I lost 463 00:26:06,760 --> 00:26:08,560 Speaker 3: a bunch of weight on my own doing that weigh 464 00:26:08,560 --> 00:26:14,520 Speaker 3: in contest, and then I kind of zigzagged gained some loss. 465 00:26:14,520 --> 00:26:18,360 Speaker 3: Some happens everybody with Premier Weight Loss. Man, it stays 466 00:26:18,440 --> 00:26:21,240 Speaker 3: off and that's important. But the reason we played the 467 00:26:21,359 --> 00:26:24,480 Speaker 3: fat Albert theme song is for those big fat pigs 468 00:26:24,520 --> 00:26:29,320 Speaker 3: up in Fort Wayne. What those woe woe loving, fat, 469 00:26:29,480 --> 00:26:33,040 Speaker 3: disgusting diabetes having turns up in Fort Wayne. 470 00:26:34,640 --> 00:26:38,000 Speaker 2: I love how Woo is catching shrapnel the radio station. 471 00:26:38,320 --> 00:26:40,960 Speaker 3: Oh man, those people are such butt sniffers up there though. 472 00:26:41,760 --> 00:26:43,960 Speaker 3: They think if there's an R next to your name, 473 00:26:44,000 --> 00:26:47,720 Speaker 3: you've never done anything wrong. Now, look, I'm a conservative. 474 00:26:48,200 --> 00:26:51,080 Speaker 3: I will admit I'm a Republican voter. But if you're 475 00:26:51,080 --> 00:26:54,199 Speaker 3: telling me that Jefferson Shreeve wanting to blame me for 476 00:26:54,280 --> 00:26:58,000 Speaker 3: gun violence is something that I align with, I disagree 477 00:26:58,040 --> 00:27:01,520 Speaker 3: with that. If you're telling me that young adding all 478 00:27:01,600 --> 00:27:03,879 Speaker 3: this money to spending is something that I should be 479 00:27:04,080 --> 00:27:08,120 Speaker 3: happy about, you're wrong. And if the Marion County gop 480 00:27:08,320 --> 00:27:11,479 Speaker 3: here in Indy says you're not a good Republican if 481 00:27:11,480 --> 00:27:14,840 Speaker 3: you criticize the party, well queue up, George Thorer. Good 482 00:27:14,840 --> 00:27:16,720 Speaker 3: because I'm bad to the bone. Because there's a lot 483 00:27:16,760 --> 00:27:19,200 Speaker 3: of turns and up into woewoll and Fort Wayne. They 484 00:27:19,200 --> 00:27:21,760 Speaker 3: carry the water for these people, and they're all fat, 485 00:27:21,960 --> 00:27:27,080 Speaker 3: and they're fattern hell. There's a new report on the 486 00:27:27,119 --> 00:27:31,960 Speaker 3: top thirty obese and overweight cities in America and coming 487 00:27:32,000 --> 00:27:36,440 Speaker 3: in at number twenty Fort Wayne, Indiana yellow, big fat, 488 00:27:36,520 --> 00:27:40,919 Speaker 3: gross gravy snorting pigs up there. Uh, Little Rock was 489 00:27:41,000 --> 00:27:45,960 Speaker 3: number one. Little Rock, Arkansas, Bill Clinton Country. So I'm 490 00:27:46,000 --> 00:27:50,000 Speaker 3: sure there's a big McDonald's culture in Little Rock. It's 491 00:27:50,000 --> 00:27:54,000 Speaker 3: a McDonald's culture in Little Rock. It is McAllen, Texas 492 00:27:54,080 --> 00:27:56,760 Speaker 3: was number two. Now you lived in Texas for a 493 00:27:56,800 --> 00:27:58,160 Speaker 3: little bit, did you ever make it over to see 494 00:27:58,160 --> 00:28:03,080 Speaker 3: those fatties in McCallan stuck to Austin in Dallas, Austin 495 00:28:03,160 --> 00:28:06,760 Speaker 3: might well have been like Seattle in San Francisco and Texas. 496 00:28:06,359 --> 00:28:09,040 Speaker 2: The uh not when I was there in the two 497 00:28:09,080 --> 00:28:12,520 Speaker 2: thousand and seven eighty nine turned into that. 498 00:28:12,600 --> 00:28:15,639 Speaker 3: Now it was getting there at that time for sure. 499 00:28:16,359 --> 00:28:20,600 Speaker 3: The list of the most obese and overweight cities, Memphis 500 00:28:21,320 --> 00:28:23,680 Speaker 3: Barbecue Country coming in at number three. 501 00:28:24,920 --> 00:28:28,040 Speaker 2: And now I feel like fast food restaurants, the prices 502 00:28:28,080 --> 00:28:31,840 Speaker 2: are coming down a little bit and it's a little tiny, 503 00:28:31,960 --> 00:28:35,320 Speaker 2: little bit cheaper to go get a burger than it 504 00:28:35,359 --> 00:28:36,680 Speaker 2: has been in the past. 505 00:28:36,480 --> 00:28:37,200 Speaker 3: Just a little bit. 506 00:28:37,440 --> 00:28:40,440 Speaker 2: And there you know, dollar menus are coming back and 507 00:28:40,480 --> 00:28:44,000 Speaker 2: that sort of thing, and you know it's cheaper and 508 00:28:44,080 --> 00:28:47,440 Speaker 2: easier to get quick calories that it is to make 509 00:28:47,440 --> 00:28:50,120 Speaker 2: your own food. That's what RFK Junior. One of his 510 00:28:50,120 --> 00:28:54,680 Speaker 2: initiatives as the Health Secretary, he wants to teach people 511 00:28:54,720 --> 00:28:57,520 Speaker 2: how to cook and buy their own pots. 512 00:28:57,160 --> 00:29:02,320 Speaker 3: And pants and Indi not on the list, but Fort 513 00:29:02,400 --> 00:29:06,400 Speaker 3: Wayne coming in at number twenty, the only Indiana representation 514 00:29:06,920 --> 00:29:10,760 Speaker 3: on the most Obese and Overweight Cities list. Okay, so 515 00:29:10,840 --> 00:29:14,960 Speaker 3: next time you're making that drive up, remember the closer 516 00:29:15,000 --> 00:29:17,480 Speaker 3: you get to wo wo Country, the more you get 517 00:29:17,520 --> 00:29:21,920 Speaker 3: to fatty mcbterpants Country. You can't spell fat without ft. 518 00:29:23,280 --> 00:29:29,440 Speaker 3: That's right, damn right, Urt Wayne. Scientists at the University 519 00:29:29,480 --> 00:29:34,560 Speaker 3: of Maryland have created a tiny indybity little baby wearable 520 00:29:34,600 --> 00:29:38,920 Speaker 3: device that tracks how often people fart? Is that right right? 521 00:29:40,160 --> 00:29:43,160 Speaker 3: It clips onto your underpants and it could help you 522 00:29:43,320 --> 00:29:46,840 Speaker 3: track how many times you pass gas daily. Why would 523 00:29:46,880 --> 00:29:48,640 Speaker 3: I want to keep track of that? Well, I think 524 00:29:48,680 --> 00:29:51,320 Speaker 3: it's for health purposes science. You don't want to keep 525 00:29:51,360 --> 00:29:53,400 Speaker 3: it all bottled up. But you also don't want to 526 00:29:53,400 --> 00:29:55,720 Speaker 3: be like a balloon, just flapping that thing out there 527 00:29:55,760 --> 00:29:58,320 Speaker 3: all the time. You want to have a good balance, right, 528 00:29:58,440 --> 00:30:01,480 Speaker 3: Who invented this device? Like? Who are the people that 529 00:30:01,520 --> 00:30:04,760 Speaker 3: are working on this thing? Somebody that didn't cure cancer 530 00:30:04,800 --> 00:30:09,160 Speaker 3: but thought we need more fart research. Now here at 531 00:30:09,160 --> 00:30:11,280 Speaker 3: the hammer in Nigel Show, we pulled some strings. We've 532 00:30:11,280 --> 00:30:15,960 Speaker 3: got connections we've obtained a clip of the inventor really 533 00:30:16,160 --> 00:30:32,320 Speaker 3: using this device. Gentlemen, that's a funt. That's the inventor. 534 00:30:32,360 --> 00:30:34,800 Speaker 2: Who's the inventor of the device that keeps tracking for 535 00:30:34,800 --> 00:30:35,640 Speaker 2: your flage lit. 536 00:30:35,720 --> 00:30:39,240 Speaker 3: Right, that's science right there. So next time you see 537 00:30:39,280 --> 00:30:43,360 Speaker 3: a big fundraiser for Johns Hopkins University or some lab 538 00:30:43,600 --> 00:30:46,239 Speaker 3: and you think you're donating to make sure, you know, 539 00:30:46,640 --> 00:30:50,920 Speaker 3: kids can overcome some death, you know, causing illness, just 540 00:30:50,960 --> 00:30:53,760 Speaker 3: to understand it's probably going for fart research. They're going 541 00:30:53,840 --> 00:30:57,040 Speaker 3: to buy a crave case and twelve warm budweisers, spend 542 00:30:57,120 --> 00:31:00,920 Speaker 3: the night together, and put a device on your underpants. Science. 543 00:31:02,960 --> 00:31:04,960 Speaker 3: Mike Pence used to sit in this chair. He used 544 00:31:04,960 --> 00:31:07,320 Speaker 3: to fart in that chair. He did right directly into it. 545 00:31:07,360 --> 00:31:09,600 Speaker 3: I bet absolutely he got a few pences loose in 546 00:31:09,680 --> 00:31:13,320 Speaker 3: that bad boy. Uh Miss Allison hit me with the 547 00:31:13,360 --> 00:31:13,960 Speaker 3: mood music. 548 00:31:17,280 --> 00:31:21,960 Speaker 2: Have you seen this with marriage study showing marijuana does 549 00:31:22,040 --> 00:31:26,240 Speaker 2: not relieve common mental health problems like anxiety or depression. 550 00:31:26,280 --> 00:31:28,040 Speaker 3: I mean I thought that's the whole point of smoking 551 00:31:28,120 --> 00:31:31,480 Speaker 3: weed was to like let loose of your anxiety. 552 00:31:31,600 --> 00:31:35,000 Speaker 2: No, this point of smoking weed was to get high. 553 00:31:35,360 --> 00:31:41,360 Speaker 2: People only think it cures anxiety and depression. Researchers in Australia, 554 00:31:42,040 --> 00:31:47,040 Speaker 2: analyzing dozens of controlled trials published between nineteen eighty and 555 00:31:47,280 --> 00:31:52,040 Speaker 2: last year, pot doesn't work to reduce symptoms anxiety, depression, 556 00:31:52,480 --> 00:31:55,360 Speaker 2: post traumatic stress disorder. And I know a lot of 557 00:31:55,400 --> 00:31:58,000 Speaker 2: people don't want to hear this. It's okay, not good 558 00:31:58,080 --> 00:32:01,000 Speaker 2: for relieving anxiety, but good for having a good time 559 00:32:01,080 --> 00:32:03,040 Speaker 2: and and getting high. 560 00:32:03,640 --> 00:32:08,040 Speaker 3: Okay, so it does not anxiety. They looked at what 561 00:32:08,080 --> 00:32:11,000 Speaker 3: about all this medical marijuana I've heard about my whole life. 562 00:32:11,600 --> 00:32:12,800 Speaker 3: I mean, cannabis. 563 00:32:13,480 --> 00:32:16,520 Speaker 2: It's a bad choice if you have anxiety, just for 564 00:32:16,600 --> 00:32:21,280 Speaker 2: the pure fact that it can independently cause paranoia, even 565 00:32:21,320 --> 00:32:28,920 Speaker 2: in people who don't have underlying anxiety. Paranoia more irrational, 566 00:32:30,360 --> 00:32:33,600 Speaker 2: anxiety more rational. But like you if you were in 567 00:32:33,720 --> 00:32:37,320 Speaker 2: taking if you intake marijuana and you don't have anxiety 568 00:32:38,080 --> 00:32:41,360 Speaker 2: and it causes anxiety, it's going to have the opposite 569 00:32:41,360 --> 00:32:43,960 Speaker 2: effect if you do, indeed have anxiety and are smoking 570 00:32:43,960 --> 00:32:45,480 Speaker 2: marijuana to relieve anxiety. 571 00:32:45,800 --> 00:32:52,400 Speaker 3: Have you ever had anxiety on weed? Now? Alex Berenson, 572 00:32:52,520 --> 00:32:54,360 Speaker 3: friend of the show. We're trying to get him on 573 00:32:54,600 --> 00:32:56,760 Speaker 3: sometime soon. It's gonna come on the show. He's got 574 00:32:56,760 --> 00:32:58,000 Speaker 3: a book or something about this. 575 00:32:58,400 --> 00:33:01,960 Speaker 2: He yeah, if long for his research on COVID and 576 00:33:02,000 --> 00:33:05,760 Speaker 2: the data and the numbers and in suing Biden and 577 00:33:05,800 --> 00:33:09,760 Speaker 2: the government for censoring him, suing X for censoring him 578 00:33:09,800 --> 00:33:12,880 Speaker 2: about COVID, he wrote a book called Tell Your Children 579 00:33:13,560 --> 00:33:16,760 Speaker 2: The Truth about Marijuana, Mental illness, and violence and how 580 00:33:16,840 --> 00:33:20,000 Speaker 2: all three of those kind of could intersect. I mean, 581 00:33:20,000 --> 00:33:23,200 Speaker 2: how many headlines have you ever read in your life 582 00:33:23,280 --> 00:33:29,080 Speaker 2: where the monster involved acted as a result of some 583 00:33:29,120 --> 00:33:33,080 Speaker 2: sort of cannabis induced psychosis. I don't have the stats 584 00:33:33,120 --> 00:33:36,640 Speaker 2: of the numbers, but you hear some horrible things. And 585 00:33:36,720 --> 00:33:39,160 Speaker 2: I'm not saying it's all like that, all right, don't 586 00:33:39,200 --> 00:33:40,360 Speaker 2: get me wrong, everybody. 587 00:33:40,440 --> 00:33:43,240 Speaker 3: I know, I'm not even going to look at the chad. 588 00:33:43,560 --> 00:33:46,000 Speaker 2: I know there's people that use it recreationally and it's 589 00:33:46,000 --> 00:33:49,520 Speaker 2: fine and gummies and edibles and it's fun. 590 00:33:50,400 --> 00:33:51,280 Speaker 3: But it is a problem. 591 00:33:51,320 --> 00:33:54,680 Speaker 2: And if your kids are dabbling in that, that's the 592 00:33:54,760 --> 00:33:55,600 Speaker 2: point of the book. 593 00:33:55,680 --> 00:33:57,320 Speaker 3: So yeah, we'll get him on to talk about that. 594 00:33:57,360 --> 00:34:00,520 Speaker 3: Here present, Allison, When was the last time you the 595 00:34:00,560 --> 00:34:03,440 Speaker 3: wacky tobacci? You're the young one in this group here. 596 00:34:03,720 --> 00:34:07,160 Speaker 3: There's a little age difference here, Like I haven't smoked weed, 597 00:34:07,800 --> 00:34:11,680 Speaker 3: probably since college. Like I've done some gummies, but I 598 00:34:11,680 --> 00:34:14,040 Speaker 3: haven't like actually smoked a jay or hit a bong, 599 00:34:14,400 --> 00:34:16,800 Speaker 3: probably since college. What about you, Alison, You seem to 600 00:34:16,840 --> 00:34:18,920 Speaker 3: like the type that may have done this last week. 601 00:34:19,719 --> 00:34:24,200 Speaker 3: Maybe I should start. I'm not a huge smoker. I 602 00:34:24,200 --> 00:34:28,439 Speaker 3: don't like smoking things, Okay, gummies, edibles, those types of things. Oh, 603 00:34:28,480 --> 00:34:37,120 Speaker 3: that's a different scenario. It's the hammer Nigel. A post 604 00:34:37,200 --> 00:34:41,040 Speaker 3: is going viral saying that we've been wearing our ear 605 00:34:41,120 --> 00:34:42,759 Speaker 3: pods upside down. 606 00:34:42,840 --> 00:34:45,839 Speaker 2: I mean, like like our like our earbuds, like yeah, 607 00:34:45,960 --> 00:34:48,080 Speaker 2: for like Bluetooth on our phone and stuff. 608 00:34:48,239 --> 00:34:51,680 Speaker 3: Right. It claims that you need to twist them until 609 00:34:51,719 --> 00:34:56,000 Speaker 3: the long extended part is up in your ear like antenna's. 610 00:34:56,680 --> 00:34:59,880 Speaker 3: Here's one YouTuber saying that we're doing it wrong. 611 00:35:00,120 --> 00:35:03,200 Speaker 10: Oh, apparently we've all been wearing our air pods incorrectly. 612 00:35:03,360 --> 00:35:05,280 Speaker 10: My boy just sent me this vile post. And apparently 613 00:35:05,280 --> 00:35:07,399 Speaker 10: you're supposed to insert them into your ear and turn 614 00:35:07,520 --> 00:35:10,160 Speaker 10: towards your face until snuff. And based on however you 615 00:35:10,200 --> 00:35:12,360 Speaker 10: interpret that, it's supposed to leave you with something like this. 616 00:35:12,760 --> 00:35:14,840 Speaker 10: But now my music keeps climing upside down. 617 00:35:15,120 --> 00:35:18,480 Speaker 3: So are we wearing EarPods? I don't wear them a lot. 618 00:35:18,840 --> 00:35:19,960 Speaker 3: I'm a headphones guy. 619 00:35:20,120 --> 00:35:22,120 Speaker 2: I do, and I put it in and I twist 620 00:35:22,160 --> 00:35:25,960 Speaker 2: it down and it's sticking, the long part sticking, you know, 621 00:35:26,160 --> 00:35:28,880 Speaker 2: kind of perpendicular with my ear low bit that's. 622 00:35:28,520 --> 00:35:30,240 Speaker 3: Right, and it goes down on your ear or across 623 00:35:30,320 --> 00:35:31,120 Speaker 3: your face, right. 624 00:35:31,080 --> 00:35:33,919 Speaker 2: Make any sense doing it upside down? Who are these 625 00:35:34,000 --> 00:35:37,440 Speaker 2: people on TikTok or YouTube explaining this? 626 00:35:37,840 --> 00:35:37,920 Speaker 4: Like? 627 00:35:38,200 --> 00:35:41,719 Speaker 3: Am I an old man because I prefer headphones? No? 628 00:35:41,880 --> 00:35:43,920 Speaker 2: In fact, I'd like to try that. Both my kids 629 00:35:43,960 --> 00:35:47,800 Speaker 2: do the headphones, the beats, Oh if you will, Okay. 630 00:35:48,360 --> 00:35:51,600 Speaker 3: Isn't it wild that kids today know doctor dre as 631 00:35:51,640 --> 00:35:54,680 Speaker 3: the headphones guy. Like when we were growing up, he 632 00:35:54,760 --> 00:35:58,000 Speaker 3: was bought of NWA. It was the git and Juice guy. Yeah, 633 00:35:58,040 --> 00:36:00,719 Speaker 3: well that was Snoop Actually, oh I'm sorry, right, well 634 00:36:00,760 --> 00:36:03,560 Speaker 3: he was, but Snoop was part of the under the 635 00:36:03,600 --> 00:36:05,000 Speaker 3: dred death Row records. 636 00:36:05,239 --> 00:36:08,960 Speaker 2: Absolutely, but no, definitely the NWA guy. And now he's 637 00:36:09,000 --> 00:36:12,200 Speaker 2: the beats guy. He's the hitpphones guy. They're not cheap either. 638 00:36:12,520 --> 00:36:15,640 Speaker 3: If you think about all of those gangster rap dudes 639 00:36:16,120 --> 00:36:19,560 Speaker 3: that all used to rail against people selling out look 640 00:36:19,600 --> 00:36:23,319 Speaker 3: what happened to him? So doctor Dre became the headphones 641 00:36:23,360 --> 00:36:25,759 Speaker 3: guy and he's made like billions of dollars. You could 642 00:36:25,800 --> 00:36:30,080 Speaker 3: say that's selling out. Snoop Dogg, who literally was part 643 00:36:30,120 --> 00:36:33,399 Speaker 3: of a murder wrote a song murder was the case 644 00:36:33,440 --> 00:36:36,280 Speaker 3: that they gave me. He gated on all of it. 645 00:36:36,360 --> 00:36:40,239 Speaker 3: He's like America's wacky grandpa covering the Olympics. He's like 646 00:36:40,280 --> 00:36:43,680 Speaker 3: a game show host. He covers the Olympics ice tea. 647 00:36:44,200 --> 00:36:46,920 Speaker 3: He was part of a side project called body Count 648 00:36:47,239 --> 00:36:49,640 Speaker 3: and they had a song called cop Killer. Do you 649 00:36:49,680 --> 00:36:51,880 Speaker 3: know how he's made a living the last twenty years 650 00:36:52,000 --> 00:36:57,360 Speaker 3: law and Order? Puny cop ice Cube literally wrote the 651 00:36:57,440 --> 00:37:00,920 Speaker 3: lyrics to the greatest disc track of all time, no Vassilyene. 652 00:37:01,320 --> 00:37:04,080 Speaker 3: He was the self proclaimed N word you love to 653 00:37:04,160 --> 00:37:07,799 Speaker 3: hate his words, not mine, And now he's making Are 654 00:37:07,840 --> 00:37:11,799 Speaker 3: We There Yet? Part four? Another Friday movie coming down 655 00:37:12,080 --> 00:37:15,040 Speaker 3: the pipe? Like they all sold out, every one of them. 656 00:37:15,239 --> 00:37:18,520 Speaker 3: If Tupac Shakur were alive today, you can't tell me 657 00:37:18,600 --> 00:37:20,360 Speaker 3: he'd be in a wacky sitcom somewhere. 658 00:37:20,440 --> 00:37:24,800 Speaker 2: It's all about the Benjamins aose. The kids like to say, it's. 659 00:37:24,640 --> 00:37:27,239 Speaker 3: The whitest thing I've ever heard. It's The Hammer and 660 00:37:27,320 --> 00:37:27,919 Speaker 3: Nigel Show.