1 00:00:02,160 --> 00:00:07,400 Speaker 1: It's that time, time, time, time, luck and load. The 2 00:00:09,760 --> 00:00:11,600 Speaker 1: Michael Varry Show is. 3 00:00:11,560 --> 00:00:12,160 Speaker 2: On the air. 4 00:00:14,120 --> 00:00:17,000 Speaker 1: You love is the greatest thing in the world. But 5 00:00:17,040 --> 00:00:17,920 Speaker 1: that's not what he said. 6 00:00:18,000 --> 00:00:21,760 Speaker 3: He distinctively said to blave, and as we all know too, 7 00:00:21,840 --> 00:00:25,400 Speaker 3: blave means to bluff. So you're probably playing cards and 8 00:00:25,480 --> 00:00:26,000 Speaker 3: he cheated. 9 00:00:27,000 --> 00:00:31,560 Speaker 1: Liar liar, which genuine. 10 00:00:31,680 --> 00:00:34,839 Speaker 3: We just basically follow the money, you know, we look 11 00:00:34,840 --> 00:00:38,160 Speaker 3: at the presence executive orders and we else just follow 12 00:00:38,200 --> 00:00:42,440 Speaker 3: the money. So we started looking closely at USCID because 13 00:00:43,040 --> 00:00:46,680 Speaker 3: they were completely violating the presence executive orders to suspend 14 00:00:47,120 --> 00:00:50,320 Speaker 3: UH foreign foreign aid you know, which what's called figniate, 15 00:00:50,400 --> 00:00:54,960 Speaker 3: but in our view is a lot of corruption. We 16 00:00:55,040 --> 00:00:57,840 Speaker 3: post the receipts, so it's like this, this action has 17 00:00:57,840 --> 00:01:01,240 Speaker 3: been taken. This action has been taken. So when we 18 00:01:01,280 --> 00:01:05,720 Speaker 3: get criticisms, say like of what which are lying do 19 00:01:05,760 --> 00:01:09,559 Speaker 3: you disagree with? Like which cut cut? Which cost saving 20 00:01:09,640 --> 00:01:12,919 Speaker 3: do you disagree with? And people usually can't think of anything. 21 00:01:15,440 --> 00:01:18,920 Speaker 4: There are people who are charged with trying to find savings. 22 00:01:19,200 --> 00:01:21,520 Speaker 4: So yes, it's an attack on government, but it's also 23 00:01:21,560 --> 00:01:23,920 Speaker 4: an attack on this government. What I mean by that 24 00:01:24,120 --> 00:01:27,000 Speaker 4: is it's an attack on this government that needs to. 25 00:01:26,920 --> 00:01:28,240 Speaker 1: Be headed by a black man. 26 00:01:28,440 --> 00:01:31,760 Speaker 4: It's an attack on this government that almost elected a 27 00:01:31,840 --> 00:01:34,240 Speaker 4: black woman to the highest office in the land. It's 28 00:01:34,280 --> 00:01:37,160 Speaker 4: an attack on a government that has been more welcoming 29 00:01:37,200 --> 00:01:39,679 Speaker 4: and more supportive of people who have come to this 30 00:01:39,760 --> 00:01:41,280 Speaker 4: country and search for a better life. 31 00:01:41,440 --> 00:01:45,640 Speaker 5: So the next time you feel tempted to trust your government. 32 00:01:46,840 --> 00:01:49,320 Speaker 5: A story from News Nation. The US Army sprayed a 33 00:01:49,360 --> 00:01:52,680 Speaker 5: predominantly black, low income neighborhood in Saint Louis in the 34 00:01:52,720 --> 00:01:57,040 Speaker 5: fifties and sixties with a chemical compound as part of 35 00:01:57,080 --> 00:02:01,120 Speaker 5: a Cold War experiment. Now, it takes a while for 36 00:02:01,160 --> 00:02:04,000 Speaker 5: these things to come out, but eventually it comes out. 37 00:02:05,000 --> 00:02:08,600 Speaker 1: The fog drifted through the streets like a ghost. That's 38 00:02:08,639 --> 00:02:10,480 Speaker 1: exactly what it looked like, a thick fall. 39 00:02:10,560 --> 00:02:13,040 Speaker 6: It was summertime, it was hot. We were just run 40 00:02:13,680 --> 00:02:16,400 Speaker 6: through it as fast as we could and try to 41 00:02:16,440 --> 00:02:17,560 Speaker 6: just cool ourself off. 42 00:02:17,680 --> 00:02:18,480 Speaker 1: It stuff into you. 43 00:02:18,840 --> 00:02:21,440 Speaker 5: The spray was so foul as far as the older 44 00:02:21,760 --> 00:02:25,960 Speaker 5: it made some of us have headaches, nausea, dizziness. 45 00:02:26,000 --> 00:02:29,320 Speaker 1: That's it made me sick. It wasn't the weather. 46 00:02:29,520 --> 00:02:33,840 Speaker 7: It was an eerie smoke descending from rooftops, rolling from 47 00:02:33,880 --> 00:02:35,320 Speaker 7: the backs of trucks. 48 00:02:35,240 --> 00:02:37,560 Speaker 6: Regular fact, that truck, but it had a big machine 49 00:02:37,600 --> 00:02:42,000 Speaker 6: on the back, and it had a big nozzle that 50 00:02:42,280 --> 00:02:44,080 Speaker 6: really sprayed up the. 51 00:02:45,560 --> 00:02:45,840 Speaker 3: Fog. 52 00:02:45,919 --> 00:02:46,959 Speaker 1: You couldn't even see through. 53 00:02:47,639 --> 00:02:51,000 Speaker 6: It was that thick and it really uh, we felt 54 00:02:51,040 --> 00:02:54,120 Speaker 6: it as it would adhere to our skin. And as 55 00:02:54,120 --> 00:02:56,639 Speaker 6: far as the guys on top of the buildings, they 56 00:02:57,000 --> 00:03:01,480 Speaker 6: tried to portray them to us as maintenance workers, but 57 00:03:01,639 --> 00:03:03,520 Speaker 6: we were like, what is it maintenace worker doing in 58 00:03:03,600 --> 00:03:07,040 Speaker 6: They basically a hass Matt suite and they had masks 59 00:03:07,080 --> 00:03:08,240 Speaker 6: and goggles. 60 00:03:08,600 --> 00:03:11,560 Speaker 7: In the nineteen fifties and sixties, in secret, the US 61 00:03:11,720 --> 00:03:15,120 Speaker 7: Army sprayed zinc hadmium sulfide into the air of a 62 00:03:15,160 --> 00:03:19,760 Speaker 7: Saint Louis housing project, a largely black neighborhood called Pruidigo. 63 00:03:20,280 --> 00:03:23,480 Speaker 1: It was a a little situation for us in Prudigo. 64 00:03:23,840 --> 00:03:26,880 Speaker 1: We were subjects. We were subjects. 65 00:03:27,040 --> 00:03:32,560 Speaker 2: They didn't ask for our permission, We didn't ask for 66 00:03:32,720 --> 00:03:37,000 Speaker 2: them to spay us for my government ex used me 67 00:03:37,160 --> 00:03:38,200 Speaker 2: like I was a gump. 68 00:03:39,160 --> 00:03:42,040 Speaker 7: We're standing out where Pruidigo used to be here in 69 00:03:42,160 --> 00:03:44,480 Speaker 7: Saint Louis, and it's hard to believe more than ten 70 00:03:44,560 --> 00:03:47,360 Speaker 7: thousand people used to live here. As we bring our 71 00:03:47,440 --> 00:03:50,480 Speaker 7: drone up, you can see it's mostly just an empty lot, 72 00:03:50,520 --> 00:03:54,200 Speaker 7: now overgrown with trees. This used to be filled with 73 00:03:54,320 --> 00:03:57,240 Speaker 7: thirty three high rise buildings. It was all demolished in 74 00:03:57,320 --> 00:04:00,840 Speaker 7: nineteen seventy six, and according to the National Research Council, 75 00:04:00,880 --> 00:04:04,440 Speaker 7: Saint Louis was chosen for spraying experiments because it had 76 00:04:04,480 --> 00:04:08,560 Speaker 7: similar characteristics to Soviet targets like Moscow in terms of 77 00:04:08,600 --> 00:04:13,320 Speaker 7: population density and terrain and proximity to a river. The 78 00:04:13,360 --> 00:04:16,800 Speaker 7: government now admits to a secretive series of Cold War tests, 79 00:04:16,839 --> 00:04:21,080 Speaker 7: including one dubbed Large Area Coverage. More than thirty tests 80 00:04:21,160 --> 00:04:26,039 Speaker 7: conducted across the US and Canada spring zincadmium sulfide from planes, 81 00:04:26,160 --> 00:04:30,400 Speaker 7: rooftops and vehicles to simulate how a biological attack might spread, 82 00:04:30,760 --> 00:04:34,160 Speaker 7: all to prepare for potential warfare against the Soviets. 83 00:04:34,480 --> 00:04:36,880 Speaker 6: Men of US been in the military and had top 84 00:04:36,920 --> 00:04:37,799 Speaker 6: secret clearances. 85 00:04:37,920 --> 00:04:41,520 Speaker 1: We know how it works. We have died for americ 86 00:04:41,920 --> 00:04:46,200 Speaker 1: We have fault for America. You are a veteran. I 87 00:04:46,240 --> 00:04:47,479 Speaker 1: am United States Air Force. 88 00:04:47,600 --> 00:04:52,000 Speaker 7: Better, doctor Starks, You're a veteran as well as is 89 00:04:52,000 --> 00:04:53,200 Speaker 7: there a sense of betrayal here? 90 00:04:53,800 --> 00:04:55,799 Speaker 1: Definitely? Definitely here. 91 00:04:56,120 --> 00:04:58,640 Speaker 7: They want to know if those secret tests have anything 92 00:04:58,680 --> 00:05:01,480 Speaker 7: to do with what they're observed with their own eyes. 93 00:05:01,800 --> 00:05:07,760 Speaker 5: My loss latoulis to kes, I lost a broadly let's love. 94 00:05:08,040 --> 00:05:12,320 Speaker 6: I've been diagnosed, reaching met with the reform of mphoma. 95 00:05:12,720 --> 00:05:13,440 Speaker 1: I had cancer. 96 00:05:13,560 --> 00:05:17,000 Speaker 6: The left kid had POSU removal of my left kid. 97 00:05:17,560 --> 00:05:20,800 Speaker 7: News Nation reached out to the Army for answers. They 98 00:05:20,880 --> 00:05:24,400 Speaker 7: provided a one page response. It says the Army's own 99 00:05:24,600 --> 00:05:28,279 Speaker 7: Center for Health Promotion and Preventive Medicine investigated in nineteen 100 00:05:28,360 --> 00:05:32,279 Speaker 7: ninety four and found inhalation exposure would not pose a 101 00:05:32,320 --> 00:05:36,560 Speaker 7: health risk. They also cite later corroborating reviews, including a 102 00:05:36,640 --> 00:05:40,560 Speaker 7: nineteen ninety seven review by the National Research Council. Perhaps 103 00:05:40,600 --> 00:05:43,520 Speaker 7: they assumed we wouldn't read the NRC's three hundred and 104 00:05:43,520 --> 00:05:47,080 Speaker 7: eighty page report, but we did, and the Army's statement 105 00:05:47,320 --> 00:05:51,480 Speaker 7: doesn't show the full picture. In that nineteen ninety seven review, 106 00:05:51,560 --> 00:05:55,560 Speaker 7: the National Research Council explicitly says repeated exposure to zinc 107 00:05:55,560 --> 00:06:00,560 Speaker 7: cadmium sulfide can cause kidney or bone toxicity or lung cancer. 108 00:06:02,080 --> 00:06:05,320 Speaker 5: Before we get to the issue of transgenders, which oddly enough, 109 00:06:05,360 --> 00:06:10,559 Speaker 5: is back in the news. I didn't get this played earlier, 110 00:06:10,600 --> 00:06:14,480 Speaker 5: I meant to jd Vance, this is clip five oh 111 00:06:14,640 --> 00:06:23,200 Speaker 5: one after the Minneapolis shooting, asked. 112 00:06:24,200 --> 00:06:26,279 Speaker 1: You to join him in a moment of prayer. 113 00:06:26,480 --> 00:06:28,040 Speaker 8: You are the praying type I would ask you to 114 00:06:28,080 --> 00:06:29,400 Speaker 8: join me in prayer. I'm just going to say a 115 00:06:29,440 --> 00:06:32,719 Speaker 8: prayer for the two little kids who lost their lives yesterday. 116 00:06:32,760 --> 00:06:34,240 Speaker 8: And this is a prayer we say a lot in 117 00:06:34,279 --> 00:06:36,920 Speaker 8: my church, and I've always found it very meaningful. It's 118 00:06:37,040 --> 00:06:41,919 Speaker 8: very short, but eternal rest. Grants unto them a Lord, 119 00:06:43,680 --> 00:06:47,680 Speaker 8: and let perpetual light shine upon them. May the souls 120 00:06:47,680 --> 00:06:50,520 Speaker 8: of all the faithful departed, through the mercy of God 121 00:06:50,960 --> 00:06:52,000 Speaker 8: rest in peace. 122 00:06:52,240 --> 00:06:52,600 Speaker 1: Amen. 123 00:06:53,040 --> 00:06:56,320 Speaker 5: And later he was on Fox News where he made 124 00:06:56,360 --> 00:06:59,880 Speaker 5: I think one of his finest statements on the subject. 125 00:07:01,720 --> 00:07:05,799 Speaker 5: If your first response, as it was for Jacob Fry, 126 00:07:06,520 --> 00:07:10,560 Speaker 5: as it was for MSNBC and CNN, if your first 127 00:07:10,600 --> 00:07:16,240 Speaker 5: response when children are dead is to condemn prayer, something 128 00:07:17,360 --> 00:07:19,120 Speaker 5: is wrong with your soul. 129 00:07:19,800 --> 00:07:24,000 Speaker 9: If you are a politician or your immediate commentator, and 130 00:07:24,160 --> 00:07:28,120 Speaker 9: two beautiful babies just got murdered while praying, and your 131 00:07:28,200 --> 00:07:31,440 Speaker 9: politics force you to contemn prayer in response to it, 132 00:07:31,680 --> 00:07:34,560 Speaker 9: you ought to get new politics, because something very wrong 133 00:07:34,640 --> 00:07:35,720 Speaker 9: has gone on inside your. 134 00:07:35,600 --> 00:07:43,680 Speaker 1: Soul, be honest with you lose a boot, Michael Berry. 135 00:07:44,800 --> 00:07:47,360 Speaker 5: There's so many different stories I never have time to 136 00:07:47,400 --> 00:07:50,680 Speaker 5: get to. But John Solomon was on with Sean Hannity 137 00:07:50,800 --> 00:07:55,040 Speaker 5: on Fox News and he made the point, you know, 138 00:07:55,120 --> 00:07:59,640 Speaker 5: for all the Russia collusion hoax, the Clintons were trafficking 139 00:07:59,640 --> 00:08:02,960 Speaker 5: that that Putin was out to get Trump elected president. 140 00:08:04,480 --> 00:08:06,640 Speaker 1: John Solomon says there is now. 141 00:08:06,600 --> 00:08:13,000 Speaker 5: Proof that Ukraine was approached by the Clintons to sway 142 00:08:13,080 --> 00:08:15,200 Speaker 5: the election in her favor by. 143 00:08:15,080 --> 00:08:18,640 Speaker 10: A member of the Ukrainian parliament. Talk about the tape recording. 144 00:08:19,720 --> 00:08:21,800 Speaker 11: Yeah, yeah, we don't know much about it because it's 145 00:08:21,840 --> 00:08:24,440 Speaker 11: floating around Ukraine, but we do know. The General Prosecutor 146 00:08:24,440 --> 00:08:27,560 Speaker 11: of Ukraine, our equivalent of the attorney general, came on 147 00:08:27,600 --> 00:08:30,440 Speaker 11: our show this morning. Inside the following there's enough evidence 148 00:08:30,440 --> 00:08:33,360 Speaker 11: for me to open up a criminal investigation into the 149 00:08:33,440 --> 00:08:37,120 Speaker 11: illicit effort by a Ukrainian to try to influence the 150 00:08:37,240 --> 00:08:40,040 Speaker 11: United States election in favor of Hillary Clinton. That's a 151 00:08:40,040 --> 00:08:43,120 Speaker 11: profound statement coming from the top law enforcement official of Ukraine. 152 00:08:43,280 --> 00:08:45,559 Speaker 11: Why is it important there's a court in Ukraine. It's 153 00:08:45,559 --> 00:08:50,040 Speaker 11: already concluded that Ukrainian officials leaked Paul Maniford's financial records 154 00:08:50,160 --> 00:08:50,640 Speaker 11: to try to. 155 00:08:50,559 --> 00:08:51,520 Speaker 1: Sway the US election. 156 00:08:51,800 --> 00:08:53,800 Speaker 11: You haven't heard anything about that in the American press, 157 00:08:54,000 --> 00:08:57,040 Speaker 11: but that ruling occurred recently. Then a parliamentary member comes 158 00:08:57,080 --> 00:08:58,959 Speaker 11: out and says, I have a tape of these law 159 00:08:59,040 --> 00:09:02,040 Speaker 11: enforcement officials say they did it specifically to help Hillary Clinton. 160 00:09:02,400 --> 00:09:05,280 Speaker 11: That becomes the foundation of the Ukrainian investigation. 161 00:09:05,320 --> 00:09:07,080 Speaker 1: You have talked to people that have heard this tape. 162 00:09:07,120 --> 00:09:10,880 Speaker 11: Correct, Well, the prosecutor himself has heard the tape and 163 00:09:10,920 --> 00:09:14,040 Speaker 11: said it was important enough, good enough evidence to warrant 164 00:09:14,120 --> 00:09:17,120 Speaker 11: opening the investigation. So the tape, the court ruling, the 165 00:09:17,160 --> 00:09:20,200 Speaker 11: top prosecuting Ukraine says there was a foreign power of. 166 00:09:20,240 --> 00:09:21,000 Speaker 1: Separate issues here. 167 00:09:21,080 --> 00:09:25,839 Speaker 10: Number one, Yes, did Ukrainian officials offered us evidence that, 168 00:09:25,880 --> 00:09:28,679 Speaker 10: in fact they were involved in election. 169 00:09:28,559 --> 00:09:30,600 Speaker 1: Interference in twenty sixteen. 170 00:09:30,880 --> 00:09:32,520 Speaker 10: To help Hillary Clinton's campaign. 171 00:09:32,840 --> 00:09:34,840 Speaker 1: But anybody in the. 172 00:09:34,760 --> 00:09:38,679 Speaker 10: Media pursue the interference story. And I thought they cared 173 00:09:38,679 --> 00:09:42,080 Speaker 10: about interference, but obviously only if it's Russian interference in Trump, 174 00:09:42,240 --> 00:09:44,880 Speaker 10: because we know they don't care about the dirty Russian dossier. 175 00:09:45,800 --> 00:09:46,280 Speaker 1: That's right. 176 00:09:46,880 --> 00:09:48,720 Speaker 11: Keep in mind that just a few months ago, Sean, 177 00:09:48,760 --> 00:09:51,920 Speaker 11: we reported on your show and Inside the Hill that 178 00:09:52,040 --> 00:09:56,040 Speaker 11: Ukraine's embassy in Washington confirmed on the record that back 179 00:09:56,080 --> 00:09:58,880 Speaker 11: in twenty sixteen, the Democratic National Committee, trying to help 180 00:09:58,960 --> 00:10:02,080 Speaker 11: Hillary Clinton get elected, ask the Ukraine embassy to help 181 00:10:02,120 --> 00:10:04,640 Speaker 11: interfere in the election by doing two things, dig up 182 00:10:04,679 --> 00:10:07,880 Speaker 11: dirt on Paul Mannifort and have Ukraine's president make a 183 00:10:07,920 --> 00:10:10,680 Speaker 11: kerfuffle here in Washington about Maniport and Trump when he 184 00:10:10,720 --> 00:10:14,000 Speaker 11: came to visit. Now, the Ukrainians say they rebuffed that attempt, 185 00:10:14,120 --> 00:10:17,840 Speaker 11: but Hillary Clinton's campaign, the DNC made that request, according 186 00:10:17,840 --> 00:10:19,240 Speaker 11: to the Ukraine Embassy. 187 00:10:19,440 --> 00:10:24,080 Speaker 5: It's almost like our country's leadership is using Ukraine and 188 00:10:24,160 --> 00:10:31,160 Speaker 5: Putin as proxies in our domestic battles. You've got a 189 00:10:31,160 --> 00:10:34,920 Speaker 5: lot of Republicans, including Lindsay Gramsty over cozying up to 190 00:10:35,440 --> 00:10:38,200 Speaker 5: Ukraine and Zelensky and. 191 00:10:38,120 --> 00:10:39,640 Speaker 1: Making Putin out to be the bad guy. 192 00:10:39,640 --> 00:10:41,560 Speaker 5: I don't think he's a good guy, but I don't 193 00:10:41,559 --> 00:10:44,120 Speaker 5: see why we should be at war with him, and 194 00:10:44,160 --> 00:10:50,720 Speaker 5: then saying that Putin is in some goofy way behind 195 00:10:50,760 --> 00:10:54,800 Speaker 5: Trump when that has been disproven. But Putin does make 196 00:10:54,840 --> 00:10:57,800 Speaker 5: the point. This is five h seven or one. The 197 00:10:57,800 --> 00:11:00,800 Speaker 5: twenty twenty election was stolen because of male and mail 198 00:11:00,880 --> 00:11:03,839 Speaker 5: in voting, Andresident Trump's not gonna let that happen again. 199 00:11:04,160 --> 00:11:07,360 Speaker 12: Vladimir Putin said something, one of the most interesting things. 200 00:11:08,000 --> 00:11:11,760 Speaker 12: He said, your election was rigged because you have mail 201 00:11:11,800 --> 00:11:15,400 Speaker 12: in voting. He said, mail in voting every election. He said, 202 00:11:15,480 --> 00:11:18,520 Speaker 12: no country has mail in voting. It's impossible to have 203 00:11:18,640 --> 00:11:21,640 Speaker 12: mail in voting and have honest elections. And he said 204 00:11:21,679 --> 00:11:23,080 Speaker 12: that to me. It was very interesting because we talked 205 00:11:23,080 --> 00:11:24,959 Speaker 12: about twenty twenty. He said, you won that election by 206 00:11:25,000 --> 00:11:27,000 Speaker 12: so much, and that's how he got it. He said, 207 00:11:27,000 --> 00:11:28,440 Speaker 12: And if you would have won, we wouldn't have had 208 00:11:28,480 --> 00:11:30,600 Speaker 12: a war. You'd have all these millions of people alive 209 00:11:30,640 --> 00:11:34,079 Speaker 12: now instead of dead. And he said, and you lost 210 00:11:34,120 --> 00:11:36,439 Speaker 12: it because of mail in voting. It was a rigged election. 211 00:11:36,559 --> 00:11:37,720 Speaker 12: But mail in voting. 212 00:11:38,760 --> 00:11:43,599 Speaker 5: Oh, by the way, six seventeen worth noting. Over the 213 00:11:43,679 --> 00:11:49,120 Speaker 5: Labor Day weekend, gas prices under President Trump hit a 214 00:11:49,280 --> 00:11:53,760 Speaker 5: five year low. The last time gas prices were this low, well, 215 00:11:54,640 --> 00:11:55,840 Speaker 5: Donald Trump was president. 216 00:11:56,200 --> 00:11:59,560 Speaker 13: Yes, what, the prices are going back down. And there's 217 00:11:59,600 --> 00:12:02,720 Speaker 13: good to believe, Steve, especially now that we're getting away 218 00:12:02,720 --> 00:12:05,200 Speaker 13: from the summer in some of the mixed fuels that 219 00:12:05,280 --> 00:12:07,000 Speaker 13: could keep going in the right direction. 220 00:12:07,440 --> 00:12:09,440 Speaker 5: I said we were going to talk about the transgender 221 00:12:09,480 --> 00:12:12,600 Speaker 5: issue because it's back in the news again. You know, 222 00:12:12,640 --> 00:12:14,959 Speaker 5: the left would do well to get out of little 223 00:12:14,960 --> 00:12:18,679 Speaker 5: girl's restrooms, to keep boys out of little girl's restrooms, 224 00:12:18,679 --> 00:12:21,480 Speaker 5: and stop trying to cut off little boys weenies, because 225 00:12:21,480 --> 00:12:25,640 Speaker 5: they're losing both of those issues really, really badly, and 226 00:12:25,679 --> 00:12:28,080 Speaker 5: the fact that they're resolute in their statements doesn't make 227 00:12:28,080 --> 00:12:31,360 Speaker 5: it any better for them. Here is Congressman Wesley Bell, 228 00:12:31,440 --> 00:12:36,640 Speaker 5: Democratic Missouri on CNN. He doesn't care that men pretending 229 00:12:36,679 --> 00:12:39,280 Speaker 5: to be women or using women's bathroom, just doesn't care. 230 00:12:39,520 --> 00:12:42,120 Speaker 14: Bobby Kennedy cares about children. He wants to make sure 231 00:12:42,200 --> 00:12:45,200 Speaker 14: children are protected. This guy does not care. He wants 232 00:12:45,240 --> 00:12:47,120 Speaker 14: to make sure that trans are protected. We want to 233 00:12:47,160 --> 00:12:49,960 Speaker 14: make sure that children are protected from trans and that 234 00:12:50,040 --> 00:12:53,600 Speaker 14: we keep men out of girls walkers rooms. That's what 235 00:12:53,640 --> 00:12:54,320 Speaker 14: we want to do. 236 00:12:55,400 --> 00:12:57,560 Speaker 1: And go ahead, congressman here, So we're. 237 00:12:57,440 --> 00:13:02,360 Speaker 15: Going back to attacking folks who are already dealing with 238 00:13:02,760 --> 00:13:05,800 Speaker 15: challenges that we can't even imagine, and yet we're going 239 00:13:05,840 --> 00:13:08,600 Speaker 15: to use them as a punchline. Again, Let's talk about 240 00:13:08,640 --> 00:13:11,679 Speaker 15: what's actually happening here. A person with no medical training 241 00:13:11,920 --> 00:13:15,360 Speaker 15: is running our health and Human Services department. His top 242 00:13:15,400 --> 00:13:20,080 Speaker 15: deputy also has no medical training. This is again, these 243 00:13:20,120 --> 00:13:25,240 Speaker 15: are fringe quack theories that are not based in science. 244 00:13:25,320 --> 00:13:29,600 Speaker 15: They're not supported by scientists, and so now they have 245 00:13:29,640 --> 00:13:34,000 Speaker 15: to look for some other way to justify this ridiculousness. 246 00:13:34,040 --> 00:13:34,960 Speaker 15: It's insanity. 247 00:13:36,040 --> 00:13:43,000 Speaker 5: It is our responsibility to destroy the virus that is 248 00:13:43,480 --> 00:13:48,280 Speaker 5: the woke mind. It will take your children, it will 249 00:13:48,320 --> 00:13:51,120 Speaker 5: ruin your church, it will ruin your business, it will 250 00:13:51,160 --> 00:13:55,280 Speaker 5: ruin your neighborhood. Here is Elon Musk with Jordan Peterson 251 00:13:55,360 --> 00:13:57,960 Speaker 5: talking about just that responsibility. 252 00:13:58,679 --> 00:14:03,000 Speaker 3: It happened to one of my my older boys where 253 00:14:03,120 --> 00:14:11,960 Speaker 3: I was, I was essentially tricked into signing documents, uh, 254 00:14:12,280 --> 00:14:17,240 Speaker 3: for one of my older boys, Xavier. Uh. This is 255 00:14:17,280 --> 00:14:19,040 Speaker 3: before I had really any understanding what was going on, 256 00:14:19,120 --> 00:14:22,200 Speaker 3: and we had COVID going on, and so there was 257 00:14:22,200 --> 00:14:26,920 Speaker 3: a lot of confusion, and you know, I was told, 258 00:14:27,320 --> 00:14:29,560 Speaker 3: you know, Savor might commit suicide if. 259 00:14:29,440 --> 00:14:31,800 Speaker 1: If that was that was a lie right from the outset. 260 00:14:32,120 --> 00:14:34,880 Speaker 3: Incredibly evil and I agree with you that people that 261 00:14:34,920 --> 00:14:36,840 Speaker 3: have been promoting this should go to prison. So I 262 00:14:36,880 --> 00:14:42,600 Speaker 3: was I was stricked into doing this, and uh, it 263 00:14:42,640 --> 00:14:45,680 Speaker 3: wasn't explain to me that puberity blocks are actually just 264 00:14:45,880 --> 00:14:55,480 Speaker 3: sterilization drugs. So anyway, uh, and so I lost my 265 00:14:55,480 --> 00:14:59,960 Speaker 3: son essentially, So you know they they call it dead. 266 00:14:59,840 --> 00:15:00,640 Speaker 1: Name for a reason. 267 00:15:00,680 --> 00:15:03,400 Speaker 3: Yeah, all right, I know the reason. That's what dead 268 00:15:03,440 --> 00:15:09,160 Speaker 3: naming is because your son is dead. So my son 269 00:15:09,200 --> 00:15:12,520 Speaker 3: is Aria is dead, killed by the work mind virus. 270 00:15:13,720 --> 00:15:16,280 Speaker 1: I'm sorry to hear that. Yeah, I can't imagine what 271 00:15:16,320 --> 00:15:17,000 Speaker 1: that would be like. 272 00:15:19,000 --> 00:15:19,800 Speaker 3: Yeah. 273 00:15:20,360 --> 00:15:25,920 Speaker 16: So yeah, and there's lots of people in that situation now, 274 00:15:26,480 --> 00:15:28,880 Speaker 16: it's not pretty and lots of demolished kids. 275 00:15:29,760 --> 00:15:31,560 Speaker 1: Yes, Okay, Well that's. 276 00:15:31,400 --> 00:15:37,200 Speaker 16: A good that's a good reason to be the final stroll. 277 00:15:35,400 --> 00:15:37,400 Speaker 3: Right, So let's go about to destroy the mind for 278 00:15:37,440 --> 00:15:38,240 Speaker 3: the work mine virus. 279 00:15:38,320 --> 00:15:43,640 Speaker 1: After that, then we'll make it some brothers, the King 280 00:15:43,800 --> 00:15:48,040 Speaker 1: of Ding and this other guy, Michael Barry. These are 281 00:15:48,040 --> 00:15:52,240 Speaker 1: the kind of guys you like to smacking a weekend. 282 00:15:52,320 --> 00:15:56,920 Speaker 5: Randy Winingarden, who's the president of the American Federation of Teachers, well, 283 00:15:56,960 --> 00:16:00,760 Speaker 5: speaking at an anti Trump protest in Chicago, you know 284 00:16:01,160 --> 00:16:05,680 Speaker 5: Chicago where the mayor doesn't want Trump to send in 285 00:16:05,720 --> 00:16:07,920 Speaker 5: the National Guarden because he doesn't want Chicago to be 286 00:16:07,960 --> 00:16:12,160 Speaker 5: safe like Washington, d C. Has become and where the governor, 287 00:16:12,400 --> 00:16:16,120 Speaker 5: Governor Tublelard doesn't want him coming in because it will 288 00:16:16,160 --> 00:16:22,800 Speaker 5: embarrass him. Well, Randy Winingarden, who is you talk about 289 00:16:22,840 --> 00:16:23,640 Speaker 5: what's wrong. 290 00:16:23,760 --> 00:16:24,880 Speaker 1: With American education? 291 00:16:26,680 --> 00:16:32,320 Speaker 5: The fact that so many Americans are now switching to homeschooling, 292 00:16:33,200 --> 00:16:37,240 Speaker 5: the fact that so many Americans have left public schools 293 00:16:37,800 --> 00:16:43,200 Speaker 5: to go to private schools. Across the country, we are 294 00:16:43,240 --> 00:16:46,400 Speaker 5: seeing what I consider to be a very very healthy trend, 295 00:16:47,120 --> 00:16:50,720 Speaker 5: and that is you take your local Catholic church. That's 296 00:16:50,720 --> 00:16:55,120 Speaker 5: where it's happening the most. You take your local Catholic church. 297 00:16:55,880 --> 00:17:02,600 Speaker 5: You've got a parking lot that's expensive, You've got buildings 298 00:17:03,040 --> 00:17:05,600 Speaker 5: a lot of times with many little rooms. Wouldn't that 299 00:17:05,640 --> 00:17:08,720 Speaker 5: be great for a school for a classroom. You've got 300 00:17:08,760 --> 00:17:11,400 Speaker 5: a big open space. Oh, we can do assembly in there. 301 00:17:13,000 --> 00:17:17,120 Speaker 5: And you've got a membership. And so they're all going 302 00:17:17,160 --> 00:17:21,640 Speaker 5: to school somewhere separate from where they're going to church. Well, 303 00:17:21,640 --> 00:17:24,800 Speaker 5: if I'm the church and I'm looking at my finances, 304 00:17:25,440 --> 00:17:29,480 Speaker 5: I'm going wait a second. We've got a school here already. 305 00:17:30,520 --> 00:17:34,000 Speaker 5: We've got a membership. I mean, we've got attendance, a 306 00:17:34,000 --> 00:17:37,400 Speaker 5: student body from within our membership, and. 307 00:17:37,359 --> 00:17:40,560 Speaker 1: By the way. We've already laid all the groundwork. 308 00:17:40,840 --> 00:17:45,040 Speaker 5: We've got all the expensive infrastructure out of the way. 309 00:17:45,200 --> 00:17:48,560 Speaker 5: All we got to do is increase the air conditioning 310 00:17:48,840 --> 00:17:55,639 Speaker 5: during the week and hire teachers. Of the costs, you 311 00:17:55,760 --> 00:18:00,200 Speaker 5: have eliminated the goodly portion of it. That's why you've 312 00:18:00,240 --> 00:18:04,200 Speaker 5: seen a number of these parish schools. I've seen it 313 00:18:04,240 --> 00:18:06,840 Speaker 5: in Louisiana. I've seen it in Mississippi. I've seen in Alabama. 314 00:18:07,280 --> 00:18:10,720 Speaker 5: I saw it in uh where did I just sit? 315 00:18:10,880 --> 00:18:15,000 Speaker 5: Maybe it was Massachusetts. They're talking about these explosions in 316 00:18:15,080 --> 00:18:21,080 Speaker 5: these church schools. And in Houston alone you got Second 317 00:18:21,080 --> 00:18:27,040 Speaker 5: Baptist Church, big Southern Baptist Church, and they started this school. 318 00:18:27,080 --> 00:18:28,360 Speaker 1: It's actually where Ted Kruse. 319 00:18:28,200 --> 00:18:31,520 Speaker 5: Graduated high school from because they had all the facilities already. 320 00:18:32,240 --> 00:18:36,600 Speaker 1: And it has become on par with Saint. 321 00:18:36,520 --> 00:18:41,520 Speaker 5: John's King Caid whatever the school in the Woodlands, I 322 00:18:41,520 --> 00:18:45,000 Speaker 5: can't remember the name of it at Cooper. It has 323 00:18:45,080 --> 00:18:50,480 Speaker 5: become episcopal, one of the schools that is highly respected 324 00:18:50,560 --> 00:18:55,800 Speaker 5: for academics and athletics and placement within college and you 325 00:18:55,880 --> 00:19:00,800 Speaker 5: name it. So what you're seeing is that increase there 326 00:19:00,960 --> 00:19:07,400 Speaker 5: is and here is that word competition. The old days 327 00:19:08,119 --> 00:19:12,520 Speaker 5: of the public school being the one and done. 328 00:19:12,840 --> 00:19:15,199 Speaker 1: Just like you're in Bulgaria. 329 00:19:15,359 --> 00:19:17,000 Speaker 5: You can go to the grocery store and if they 330 00:19:17,000 --> 00:19:19,520 Speaker 5: have some bread, you get bread, and it says bread 331 00:19:20,040 --> 00:19:22,120 Speaker 5: if they bothered to write it on there. Because there's 332 00:19:22,119 --> 00:19:26,320 Speaker 5: no competition, as the old Soviet block mindset. That's the 333 00:19:26,359 --> 00:19:29,840 Speaker 5: case in a lot of places. But in the United States, 334 00:19:30,600 --> 00:19:36,080 Speaker 5: competition made us better. Competition makes an athlete better. You 335 00:19:36,160 --> 00:19:39,159 Speaker 5: got to play against better players to get better. Competition 336 00:19:39,240 --> 00:19:45,800 Speaker 5: makes businesses better. But public school are the urban public 337 00:19:45,840 --> 00:19:49,560 Speaker 5: school where you have the most problems. They didn't want competition. 338 00:19:50,320 --> 00:19:54,480 Speaker 5: They wanted bloated budgets. They wanted teachers paying into a 339 00:19:54,600 --> 00:19:56,399 Speaker 5: union promising to make their lives better. 340 00:19:57,040 --> 00:19:58,560 Speaker 1: But they weren't making their lives better. 341 00:20:01,119 --> 00:20:04,680 Speaker 5: They were making the lives of the union leaders better, 342 00:20:05,680 --> 00:20:09,800 Speaker 5: people like Randy Winingarden. So here is the president of 343 00:20:09,840 --> 00:20:14,879 Speaker 5: the Teachers' union, and she's over the weekend. I guess 344 00:20:14,880 --> 00:20:17,760 Speaker 5: on Labor Day at a Labor Day event, screeching and 345 00:20:17,800 --> 00:20:20,600 Speaker 5: hollering and listen to this, are you. 346 00:20:20,760 --> 00:20:29,960 Speaker 17: Ready Chicago labor to fight? And today as we walk, we're. 347 00:20:29,800 --> 00:20:31,760 Speaker 1: Going to fight a whole bunch of pharaohs. 348 00:20:32,560 --> 00:20:38,480 Speaker 17: Whether it's tesla or target or be lore. What has 349 00:20:38,520 --> 00:20:43,520 Speaker 17: happened in this country is that the billionaires don't understand 350 00:20:43,720 --> 00:20:49,080 Speaker 17: that this country was created in protests and in resistance 351 00:20:49,480 --> 00:20:51,920 Speaker 17: to fight off a king, not to. 352 00:20:51,960 --> 00:20:53,040 Speaker 1: Recreate a king. 353 00:20:54,040 --> 00:20:57,560 Speaker 5: Oh yes, we go back to that theme that George 354 00:20:57,560 --> 00:21:01,560 Speaker 5: Soros funded. Trump's trying to be a king. You see, 355 00:21:01,880 --> 00:21:06,600 Speaker 5: no kings, We don't want any kings. Well, I'm gonna 356 00:21:06,600 --> 00:21:11,159 Speaker 5: tell you something. Randy Weingarten has been living like a 357 00:21:11,280 --> 00:21:17,760 Speaker 5: king herself. I saw a statistic that said a report 358 00:21:17,800 --> 00:21:22,199 Speaker 5: that said the teachers' union had spent had sent forty 359 00:21:22,280 --> 00:21:25,280 Speaker 5: three and a half million dollars to left wing political causes, 360 00:21:26,480 --> 00:21:29,320 Speaker 5: And that was laid beside another article that said, as 361 00:21:29,440 --> 00:21:34,679 Speaker 5: school begins again, teachers just don't have the money for 362 00:21:34,840 --> 00:21:38,680 Speaker 5: supplies for the students, so they're having to spend their own. 363 00:21:41,280 --> 00:21:46,320 Speaker 5: You ever notice that spending on schools just keeps going 364 00:21:46,400 --> 00:21:48,320 Speaker 5: up and up and up. It's like the defense Department, 365 00:21:49,200 --> 00:21:53,080 Speaker 5: but we don't get more for it. Nobody is saying, hey, 366 00:21:53,880 --> 00:21:57,480 Speaker 5: we're spending multiples of what we used to on education, 367 00:21:58,480 --> 00:22:00,000 Speaker 5: but the results are worth it. 368 00:22:00,480 --> 00:22:00,840 Speaker 1: They're not. 369 00:22:02,000 --> 00:22:06,080 Speaker 5: You look at what a university education costs you today 370 00:22:06,520 --> 00:22:08,919 Speaker 5: versus when I graduated from college in ninety three. 371 00:22:08,800 --> 00:22:11,920 Speaker 1: In law school in ninety six, multiples. 372 00:22:12,640 --> 00:22:16,240 Speaker 5: It didn't get better. In fact, in many ways, it 373 00:22:16,280 --> 00:22:19,399 Speaker 5: got worse. Not only did they all of a sudden 374 00:22:20,200 --> 00:22:25,919 Speaker 5: start veering a hard turn to the left. Not only 375 00:22:25,960 --> 00:22:29,800 Speaker 5: did they do that, but they took the university professor 376 00:22:30,320 --> 00:22:36,359 Speaker 5: out of the classroom. In many schools, especially the larger schools, 377 00:22:36,960 --> 00:22:40,880 Speaker 5: you don't get a professor. You get a teaching assistant. 378 00:22:41,160 --> 00:22:45,080 Speaker 5: And who is a teaching assistant a grad student who's 379 00:22:45,160 --> 00:22:49,320 Speaker 5: given free education and he has to teach a class 380 00:22:49,520 --> 00:22:54,200 Speaker 5: or two. And so what's happened well as your graduate program, 381 00:22:54,320 --> 00:23:00,840 Speaker 5: especially in the sciences, As your graduate programs, increasingly, we're 382 00:23:00,920 --> 00:23:05,119 Speaker 5: birthing Indian students and Chinese students who were coming here 383 00:23:05,160 --> 00:23:08,040 Speaker 5: and doing very well. A number of them went into 384 00:23:08,040 --> 00:23:11,480 Speaker 5: faculty positions. And what did they do. They turned around 385 00:23:11,520 --> 00:23:16,040 Speaker 5: and hired more Indians and Chinese. And that is why 386 00:23:16,080 --> 00:23:20,440 Speaker 5: you started noticing the dominance of Indian and Chinese students 387 00:23:21,400 --> 00:23:25,920 Speaker 5: in your university postgraduate programs. You go to the postgraduate 388 00:23:26,040 --> 00:23:31,360 Speaker 5: program at any university in this country, in engineering especially, 389 00:23:32,320 --> 00:23:36,160 Speaker 5: and you will notice it's all Indian and Chinese. Well 390 00:23:36,200 --> 00:23:38,199 Speaker 5: I'm married to a woman from India. I don't have 391 00:23:38,240 --> 00:23:41,880 Speaker 5: a problem with Indians. See that's the difference. I don't 392 00:23:41,920 --> 00:23:45,240 Speaker 5: treat people differently because I have a connection to that 393 00:23:45,280 --> 00:23:48,879 Speaker 5: group of people. You've got to have a system of 394 00:23:48,880 --> 00:23:52,879 Speaker 5: fairness and you've got to have a system that makes 395 00:23:52,920 --> 00:24:00,280 Speaker 5: sense for your country, and we don't. Increasingly those departments 396 00:24:00,960 --> 00:24:06,520 Speaker 5: are largely Indian and then recruiting their own. So what 397 00:24:06,680 --> 00:24:11,040 Speaker 5: ends up happening is it's very hard as your average 398 00:24:11,040 --> 00:24:15,560 Speaker 5: white guy, black guy, Hispanic guy to break into the 399 00:24:15,600 --> 00:24:19,600 Speaker 5: graduate programs and especially the teaching assistant ships in these 400 00:24:19,720 --> 00:24:24,600 Speaker 5: universities because it's already held by a group of people who. 401 00:24:24,440 --> 00:24:25,639 Speaker 1: Are keeping it very insolent. 402 00:24:26,920 --> 00:24:32,240 Speaker 5: Once that transition occurred, it's too late to ever change. 403 00:24:32,359 --> 00:24:34,040 Speaker 1: But everybody knows who this guy is. 404 00:24:34,080 --> 00:24:35,840 Speaker 8: Come on, man with. 405 00:24:36,040 --> 00:24:37,879 Speaker 1: The Michael barriers, come on. 406 00:24:40,119 --> 00:24:47,800 Speaker 5: So I've been following the AI situation with increasing interest. 407 00:24:48,880 --> 00:24:51,000 Speaker 5: One of the things that comes up out of all 408 00:24:51,040 --> 00:24:56,679 Speaker 5: of it is how much energy. 409 00:24:55,160 --> 00:24:58,359 Speaker 1: It demands AI. 410 00:24:58,840 --> 00:25:00,840 Speaker 5: I have a friend named Brian mac who is in 411 00:25:00,920 --> 00:25:04,960 Speaker 5: the warehouse business. Well he's in the real estate business, 412 00:25:06,080 --> 00:25:14,480 Speaker 5: and one of his big clients is data centers. And 413 00:25:14,840 --> 00:25:20,080 Speaker 5: the reason is because the new big thing. 414 00:25:21,600 --> 00:25:22,720 Speaker 1: Is data. 415 00:25:23,760 --> 00:25:27,320 Speaker 5: So I think of it sort of like there was 416 00:25:27,359 --> 00:25:30,879 Speaker 5: a time where people rode horses, and if you were 417 00:25:30,920 --> 00:25:34,679 Speaker 5: a person of means, you would have a buggy and 418 00:25:34,760 --> 00:25:37,560 Speaker 5: you'd have your buggy behind the horse because it's more 419 00:25:37,600 --> 00:25:40,800 Speaker 5: comfortable to sit on a cushion. See, And that's the 420 00:25:40,800 --> 00:25:45,880 Speaker 5: way things were until the moment there was the automobile. 421 00:25:46,520 --> 00:25:49,240 Speaker 5: And there were actually some early versions of electric automobiles, 422 00:25:49,240 --> 00:25:52,000 Speaker 5: but they were not very efficient or effective for that matter, 423 00:25:53,000 --> 00:25:56,760 Speaker 5: because again, battery technology has always been the challenge. But 424 00:25:56,800 --> 00:26:00,800 Speaker 5: then there was the gas powered automobile and like it 425 00:26:00,840 --> 00:26:04,800 Speaker 5: took off. So now all of a sudden you had 426 00:26:04,800 --> 00:26:08,119 Speaker 5: to have stations where you could get the energy to 427 00:26:08,200 --> 00:26:12,639 Speaker 5: fuel this means of transportation. So all of a sudden, 428 00:26:12,680 --> 00:26:18,360 Speaker 5: the gas station industry explodes overnight and everything that went 429 00:26:18,480 --> 00:26:23,560 Speaker 5: with servicing the personal means of transportation because a horse 430 00:26:23,640 --> 00:26:27,719 Speaker 5: was pretty inefficient compared to the automobile, and by that 431 00:26:27,760 --> 00:26:31,840 Speaker 5: time you had forms of mass transit train being the 432 00:26:31,880 --> 00:26:39,240 Speaker 5: most efficient. But when you got the automobile, it changed everything. 433 00:26:40,520 --> 00:26:44,560 Speaker 5: The value of oil all of a sudden, for so 434 00:26:44,720 --> 00:26:48,199 Speaker 5: much more than just heating your home for traveling about 435 00:26:49,040 --> 00:26:53,480 Speaker 5: throughout history, the ability to travel about has been very, 436 00:26:53,960 --> 00:26:54,840 Speaker 5: very important. 437 00:26:54,880 --> 00:26:56,320 Speaker 1: So back to the issue of AI. 438 00:26:58,359 --> 00:27:02,800 Speaker 5: You know, remember around two thousand, the turn of the millennium, 439 00:27:03,119 --> 00:27:06,680 Speaker 5: we had this big tech bubble, and things aren't called 440 00:27:06,680 --> 00:27:10,720 Speaker 5: a bubble until they burst, and then you go back 441 00:27:10,760 --> 00:27:14,600 Speaker 5: and go, oh, that was a tech bubble. People thought 442 00:27:15,920 --> 00:27:19,359 Speaker 5: that having a website was going to be everything. And 443 00:27:19,440 --> 00:27:26,280 Speaker 5: so you had these these little millennial millionaires who were 444 00:27:26,280 --> 00:27:31,840 Speaker 5: getting insane amounts of money because they created a website 445 00:27:32,119 --> 00:27:36,440 Speaker 5: or later an app. And so you had kids in 446 00:27:36,840 --> 00:27:39,600 Speaker 5: coffee shops sitting in coffee shops banging away on their 447 00:27:39,640 --> 00:27:42,760 Speaker 5: keyboard that they put in a backpack and walked in there, 448 00:27:42,760 --> 00:27:46,680 Speaker 5: and drinking coffee all day and then beer all night. 449 00:27:47,400 --> 00:27:51,199 Speaker 5: And they were flipping these companies to private equity. And 450 00:27:51,280 --> 00:27:53,119 Speaker 5: some of them made it and most of them didn't. 451 00:27:53,640 --> 00:27:54,280 Speaker 1: That's all right. 452 00:27:54,480 --> 00:27:59,320 Speaker 5: That still goes on today in different ways. But the 453 00:27:59,480 --> 00:28:05,480 Speaker 5: rise of AI, this is on a scale we never imagined. 454 00:28:06,520 --> 00:28:08,480 Speaker 5: You wonder know how big this is going to be. 455 00:28:09,720 --> 00:28:18,000 Speaker 5: Let me give you an example. So Mark Zuckerberg at Meta, 456 00:28:18,480 --> 00:28:22,520 Speaker 5: which may he made his fortune off of Facebook, he 457 00:28:22,560 --> 00:28:26,400 Speaker 5: has dedicated I think it's seventy billion dollars. I'll find 458 00:28:26,440 --> 00:28:29,760 Speaker 5: it's in the middle of this story. He has dedicated 459 00:28:29,840 --> 00:28:37,679 Speaker 5: seventy billion with a B dollars to AI. Well, everybody 460 00:28:38,600 --> 00:28:42,760 Speaker 5: is in that in that at that level is investing 461 00:28:42,760 --> 00:28:51,880 Speaker 5: in AI. Meta lost a series of folks that went 462 00:28:51,920 --> 00:28:56,320 Speaker 5: to work for Elon Musk. In order to get them 463 00:28:56,360 --> 00:28:59,440 Speaker 5: to stay, or in some cases he was trying to 464 00:28:59,440 --> 00:29:04,840 Speaker 5: recruit them compared the Musk, he offered them you ready 465 00:29:04,840 --> 00:29:05,200 Speaker 5: for this. 466 00:29:06,640 --> 00:29:11,680 Speaker 1: Two hundred and fifty million dollars each with a one. 467 00:29:11,680 --> 00:29:17,800 Speaker 5: Hundred million dollar signing bonus, direct access to Zuckerberg. That's 468 00:29:18,000 --> 00:29:21,320 Speaker 5: very important for people that do what they do. They 469 00:29:21,320 --> 00:29:24,360 Speaker 5: don't want to be stuck in some back office, some 470 00:29:24,400 --> 00:29:27,080 Speaker 5: back cubicle when they. 471 00:29:26,920 --> 00:29:27,680 Speaker 1: Have a brilliant idea. 472 00:29:27,680 --> 00:29:28,719 Speaker 5: They want to be able to come in and go, hey, 473 00:29:28,760 --> 00:29:30,080 Speaker 5: I need this to be able to make this happen, 474 00:29:30,760 --> 00:29:39,200 Speaker 5: and supposedly unlimited resources, and yet they left anyway. They 475 00:29:39,280 --> 00:29:44,160 Speaker 5: turned down one hundred million dollars and in a signing 476 00:29:44,160 --> 00:29:47,840 Speaker 5: bonus and two hundred and fifty million dollars for each 477 00:29:47,880 --> 00:29:52,440 Speaker 5: of the workers for each for a person. They didn't 478 00:29:52,440 --> 00:29:55,080 Speaker 5: go to Google, they didn't go to Open a Eye. 479 00:29:56,640 --> 00:30:01,200 Speaker 5: They joined a startup with twelve hundred employees, a startup 480 00:30:01,440 --> 00:30:04,920 Speaker 5: that at this point has been unwilling to match the 481 00:30:05,000 --> 00:30:11,320 Speaker 5: offers that Zuckerberg was making. But as the as the 482 00:30:11,320 --> 00:30:18,920 Speaker 5: case study shows, this startup, Elon Musk's Empire, which he 483 00:30:19,040 --> 00:30:25,000 Speaker 5: calls XAI, offers them the opportunity to do so much 484 00:30:25,000 --> 00:30:28,280 Speaker 5: more and he has a better track record. Well, here's 485 00:30:28,320 --> 00:30:33,000 Speaker 5: the data point, Meta or Facebook is spending seventy billion 486 00:30:33,040 --> 00:30:33,560 Speaker 5: dollars on. 487 00:30:33,600 --> 00:30:36,600 Speaker 1: AI this year alone. 488 00:30:36,720 --> 00:30:40,600 Speaker 5: They had acquired one startup for fourteen point three billion 489 00:30:40,640 --> 00:30:44,840 Speaker 5: dollars from a guy named Alexander Wang. So they are 490 00:30:44,960 --> 00:30:51,160 Speaker 5: throwing funny money at things. Despite all this, Elon Musk 491 00:30:51,240 --> 00:30:57,560 Speaker 5: stole eighteen of Zuckerberg's best engineers. Zuckerberg lost his mind 492 00:30:57,600 --> 00:30:59,960 Speaker 5: offer him two undred fifty million dollars one hundred million 493 00:31:00,600 --> 00:31:07,240 Speaker 5: right now. We've never seen anything like this in any 494 00:31:07,320 --> 00:31:11,680 Speaker 5: industry ever before. I mean, I guess you could say 495 00:31:11,680 --> 00:31:19,880 Speaker 5: the NFL for top players, AI programmers, AI innovators. And 496 00:31:19,920 --> 00:31:23,360 Speaker 5: by the way, we're not talking about we're talking about 497 00:31:23,400 --> 00:31:26,560 Speaker 5: young people. We're talking about the kind of people that 498 00:31:26,600 --> 00:31:31,760 Speaker 5: Trump I mean that Elon brought into DOGE. I had 499 00:31:31,760 --> 00:31:35,600 Speaker 5: people say I'd lost my mind when I was talking 500 00:31:35,640 --> 00:31:40,000 Speaker 5: about the people Elon brought in to doge, people like 501 00:31:40,040 --> 00:31:43,080 Speaker 5: big balls, people like some of those. Let me tell 502 00:31:43,080 --> 00:31:45,320 Speaker 5: you something. I don't know where to find those people. 503 00:31:46,280 --> 00:31:49,680 Speaker 5: Trump doesn't know where to find those people. You don't 504 00:31:49,720 --> 00:31:52,600 Speaker 5: know where to find those people. The government doesn't know 505 00:31:52,640 --> 00:31:57,240 Speaker 5: where to find those people. Those people have snopped hanging 506 00:31:57,280 --> 00:32:01,000 Speaker 5: out of their nose. They live in places you don't know. 507 00:32:01,120 --> 00:32:07,520 Speaker 5: They live online. They're gamers, they're weird, but they got 508 00:32:07,520 --> 00:32:11,880 Speaker 5: this little quirky skill set. And you don't take out 509 00:32:11,920 --> 00:32:16,360 Speaker 5: an ad on indeed or monster and find them. They 510 00:32:16,520 --> 00:32:21,720 Speaker 5: gravitate to their god, King Elon Musk, and he brought 511 00:32:21,760 --> 00:32:22,560 Speaker 5: them into the government. 512 00:32:23,480 --> 00:32:24,400 Speaker 1: He brought them into the. 513 00:32:24,320 --> 00:32:28,240 Speaker 5: Government so they could run their little spiders through the 514 00:32:28,280 --> 00:32:32,560 Speaker 5: system using terms that only they could figure out. All right, 515 00:32:33,720 --> 00:32:39,960 Speaker 5: what if you're getting welfare payments but you're an illegal alien, 516 00:32:40,720 --> 00:32:42,160 Speaker 5: you have no identification. 517 00:32:42,680 --> 00:32:43,320 Speaker 1: How do we do that? 518 00:32:44,440 --> 00:32:47,360 Speaker 5: And it runs through all the systems, harvests all the 519 00:32:47,400 --> 00:32:51,480 Speaker 5: data and says, here's the addresses of the payments. Would 520 00:32:51,520 --> 00:32:55,160 Speaker 5: you like me to shut those payments off? Yes, you 521 00:32:55,280 --> 00:33:01,240 Speaker 5: don't have the man power in government employees lazily showing 522 00:33:01,280 --> 00:33:03,720 Speaker 5: up late, leaving early and taking a long lunch to 523 00:33:03,800 --> 00:33:05,360 Speaker 5: go through and dig out that data. 524 00:33:06,120 --> 00:33:08,720 Speaker 1: Hey, I could do it in an hour. I don't 525 00:33:08,760 --> 00:33:10,320 Speaker 1: know how long, in a very short period of time. 526 00:33:11,360 --> 00:33:12,240 Speaker 1: It's like lawyers. 527 00:33:12,240 --> 00:33:16,160 Speaker 5: It's not all bad, and this isn't an Elon Musk 528 00:33:16,240 --> 00:33:16,960 Speaker 5: worship session. 529 00:33:18,320 --> 00:33:19,920 Speaker 1: Damn home, Lady's on our side. 530 00:33:21,120 --> 00:33:25,600 Speaker 13: We jellmen ells nst for good man, thank you, and 531 00:33:25,800 --> 00:33:26,320 Speaker 13: good night,