1 00:00:04,400 --> 00:00:07,440 Speaker 1: This is what happens when the fourth Turning meets fifth 2 00:00:07,440 --> 00:00:08,400 Speaker 1: generation warfare. 3 00:00:13,520 --> 00:00:19,439 Speaker 2: A commentator, international social media sensation and former Navy intelligence veteran, 4 00:00:19,600 --> 00:00:23,560 Speaker 2: This is Human Events with your host Jack Posovic christ Is. 5 00:00:23,760 --> 00:00:27,640 Speaker 3: Traffic is resumed across Crimea's Kirch Bridge after Ukraine hit 6 00:00:27,680 --> 00:00:31,560 Speaker 3: its foundations with underwater explosives. The explosion marked the latest 7 00:00:31,560 --> 00:00:35,640 Speaker 3: offensives from Ukraine over the weekend. In Ukraine, drone attack 8 00:00:35,760 --> 00:00:40,400 Speaker 3: damaged dozens of warplanes deep inside Russia. Meanwhile, Russian strikes 9 00:00:40,400 --> 00:00:44,040 Speaker 3: on Ukraine's civilian areas continue, killing at least eight and 10 00:00:44,200 --> 00:00:45,040 Speaker 3: injuring fifty. 11 00:00:45,159 --> 00:00:49,720 Speaker 4: Iran Supreme Leader Ayatola Ali Hamana has now criticized and 12 00:00:50,120 --> 00:00:53,440 Speaker 4: appears to have flat out rejected a proposal by the 13 00:00:53,600 --> 00:00:59,040 Speaker 4: US amid negotiations over to Iran's rapidly advancing nuclear programs, 14 00:00:59,080 --> 00:01:02,600 Speaker 4: saying Iran were fuses to give up enriching uranium in 15 00:01:02,760 --> 00:01:06,440 Speaker 4: any possible deal, which is essentially the purpose of any 16 00:01:06,520 --> 00:01:08,080 Speaker 4: kind of deal with the US. 17 00:01:08,240 --> 00:01:10,960 Speaker 5: A White House send a request yesterday to congressional leaders 18 00:01:11,000 --> 00:01:14,480 Speaker 5: to pull back more than nine billion dollars in approved spending, 19 00:01:14,720 --> 00:01:16,120 Speaker 5: most of it's for foreign aid. 20 00:01:16,400 --> 00:01:18,840 Speaker 2: Well, this is called a recision, and it is intended 21 00:01:18,880 --> 00:01:22,760 Speaker 2: to try to take those musk generated doze cuts, the 22 00:01:22,880 --> 00:01:26,800 Speaker 2: slashes in departments and budgets and make them permanent. 23 00:01:26,880 --> 00:01:30,280 Speaker 6: Two Chinese researchers charge with smuggling what's considered to be 24 00:01:30,280 --> 00:01:33,319 Speaker 6: a potential weapon for agro terr rhythm into the US 25 00:01:33,600 --> 00:01:36,279 Speaker 6: and that prosecutors say could target the nation's food supply. 26 00:01:36,440 --> 00:01:39,240 Speaker 6: We're talking about a fungus which DJ is calling a 27 00:01:39,240 --> 00:01:42,679 Speaker 6: potential bile terror threat. Take a look at it under 28 00:01:42,680 --> 00:01:46,600 Speaker 6: the microscoup. This is Fusarium gravit e aerum and it 29 00:01:46,680 --> 00:01:50,240 Speaker 6: causes billions of dollars in crop damage each year. A 30 00:01:50,280 --> 00:01:53,360 Speaker 6: pathogen that rocks wheat, barley, and rice, and if consumed 31 00:01:53,360 --> 00:01:56,960 Speaker 6: by humans can cause vomiting, liver damage, and birth defects. 32 00:01:59,520 --> 00:02:05,200 Speaker 1: Ladies, jentlemen, welcome aboard today's edition Human Events Daily Here Live, Washington, 33 00:02:05,520 --> 00:02:08,880 Speaker 1: d C. Today is June fourth, twenty twenty five, and 34 00:02:09,040 --> 00:02:13,880 Speaker 1: O Domini, it is the thirty sixth anniversary the Tenemen 35 00:02:13,960 --> 00:02:19,679 Speaker 1: Square massacre. Were proud Chinese citizens stood up for their 36 00:02:19,720 --> 00:02:24,600 Speaker 1: country against communism and were mowed down by soldiers of 37 00:02:24,639 --> 00:02:27,720 Speaker 1: the People's Liberation Army. Soldiers of the Chinese Communist Party 38 00:02:28,919 --> 00:02:33,760 Speaker 1: their own government open fire on peaceful processors and civilians, 39 00:02:33,800 --> 00:02:37,880 Speaker 1: and we remember them every single June fourth the same way, 40 00:02:38,000 --> 00:02:42,240 Speaker 1: remember all the victims of communism, the most evil force 41 00:02:42,600 --> 00:02:48,120 Speaker 1: that has ever existed on this planet, folks. Another evil force, 42 00:02:48,240 --> 00:02:51,800 Speaker 1: of course, is the specter of war. And President Trump 43 00:02:52,280 --> 00:02:55,160 Speaker 1: has a huge truth social up where he just apparently 44 00:02:55,480 --> 00:03:00,120 Speaker 1: got off the phone with President Putin of Russia, and 45 00:03:00,160 --> 00:03:02,240 Speaker 1: I want to read this to you now because this 46 00:03:02,520 --> 00:03:06,240 Speaker 1: is breaking news. Just as we go to air here, 47 00:03:07,040 --> 00:03:09,560 Speaker 1: he said, I just finished speaking by telephone with President 48 00:03:09,639 --> 00:03:12,480 Speaker 1: Vladerman Putin of Russia. The call lasted approximately one hour 49 00:03:12,560 --> 00:03:16,040 Speaker 1: fifteen minutes. We discussed the attack on Russia's docked airplanes 50 00:03:16,080 --> 00:03:19,200 Speaker 1: by Ukraine and also various other attacks that have been 51 00:03:19,200 --> 00:03:21,560 Speaker 1: taking place by both sides. It was a good conversation, 52 00:03:21,960 --> 00:03:24,920 Speaker 1: but not a conversation that will lead to immediate peace. 53 00:03:25,240 --> 00:03:28,359 Speaker 1: President Putin did say and very strongly, that he will 54 00:03:28,400 --> 00:03:32,040 Speaker 1: have to respond to the recent attack on the airfields, 55 00:03:32,200 --> 00:03:35,720 Speaker 1: so respond in Ukraine. We also discussed Iran and the 56 00:03:35,720 --> 00:03:37,800 Speaker 1: fact that time is running out on Iran's decision to 57 00:03:37,800 --> 00:03:41,400 Speaker 1: pertaining to nuclear weapons, which must be made quickly. Stated 58 00:03:41,400 --> 00:03:43,680 Speaker 1: to President Trump that Iran cannot have a nuclear weapon, 59 00:03:43,680 --> 00:03:46,040 Speaker 1: and on this I believe we were in agreement President Trump. 60 00:03:46,080 --> 00:03:49,160 Speaker 1: President Putin suggested that he will participate in the discussions 61 00:03:49,200 --> 00:03:51,400 Speaker 1: with Iran and that he could perhaps be helpful in 62 00:03:51,440 --> 00:03:54,000 Speaker 1: getting this brought to a rapid conclusion. Is my opinion 63 00:03:54,160 --> 00:03:56,320 Speaker 1: that Iran has been slow walking their decision on this 64 00:03:56,400 --> 00:03:59,240 Speaker 1: important matter, and we will need a definitive answer in 65 00:03:59,320 --> 00:03:59,880 Speaker 1: a very. 66 00:04:00,120 --> 00:04:01,920 Speaker 7: Work period of time. Folks. 67 00:04:03,280 --> 00:04:07,480 Speaker 1: I've also been hearing regarding these attacks and this Operation 68 00:04:07,840 --> 00:04:10,760 Speaker 1: Spider Web that, as it turns out, elements of our 69 00:04:10,880 --> 00:04:15,840 Speaker 1: national security infrastructure, elements of the CIA, elements of the 70 00:04:16,040 --> 00:04:19,200 Speaker 1: intel community, knew that this attack was taking place, that 71 00:04:19,279 --> 00:04:23,200 Speaker 1: this operation was going on, and they purposely withheld information 72 00:04:23,640 --> 00:04:26,159 Speaker 1: from the President of the United States, from his briefing, 73 00:04:26,400 --> 00:04:31,200 Speaker 1: from many other high level echelons of the White House. 74 00:04:31,360 --> 00:04:35,440 Speaker 1: Why are Brennan and Clapper people still walking around with 75 00:04:35,560 --> 00:04:38,919 Speaker 1: blue badges? Why is anyone who was involved with the 76 00:04:38,920 --> 00:04:43,440 Speaker 1: prior Biden or Obama administrations walking around in positions of 77 00:04:43,520 --> 00:04:48,200 Speaker 1: power within the Trump administration. Their goals and their agenda 78 00:04:48,440 --> 00:04:51,440 Speaker 1: are separate from the agenda of the People's President of 79 00:04:51,560 --> 00:04:52,640 Speaker 1: the people voted. 80 00:04:52,320 --> 00:04:55,080 Speaker 7: For in twenty twenty four will be right back. 81 00:05:00,400 --> 00:05:03,360 Speaker 1: America first truly means welcome to. 82 00:05:03,400 --> 00:05:06,440 Speaker 7: The Second American Revolution. 83 00:05:39,800 --> 00:05:44,760 Speaker 1: All right, folks, Jack Pasovic here, we are live Washington, DC. 84 00:05:45,000 --> 00:05:48,440 Speaker 1: Want to bring in Real America's voice as well as 85 00:05:48,600 --> 00:05:52,960 Speaker 1: the Salem Radio Network Hour three Charlie Kirk. President Trump 86 00:05:53,200 --> 00:05:58,360 Speaker 1: tweeting out about the Russian response to Ukraine's drone attacks, 87 00:05:58,640 --> 00:06:02,159 Speaker 1: and also this idea and the news breaking his own 88 00:06:02,240 --> 00:06:04,440 Speaker 1: news that he just held an hour and fifteen minute 89 00:06:04,480 --> 00:06:08,520 Speaker 1: long phone call with Putin from the White House. Will 90 00:06:08,560 --> 00:06:11,840 Speaker 1: be breaking down that and more as the show continues. Folks, 91 00:06:12,120 --> 00:06:13,440 Speaker 1: let me tell you something real quick though. 92 00:06:13,560 --> 00:06:14,120 Speaker 7: Let's be real. 93 00:06:14,680 --> 00:06:17,760 Speaker 1: Losing weight it ain't just about looking good, It's about 94 00:06:17,760 --> 00:06:18,680 Speaker 1: taking back. 95 00:06:18,600 --> 00:06:20,000 Speaker 7: Control of your health. 96 00:06:20,440 --> 00:06:24,000 Speaker 1: A forty two percent of adults in America are classified 97 00:06:24,000 --> 00:06:27,440 Speaker 1: as obese currently. It's directly linked to severe health issues. 98 00:06:27,480 --> 00:06:31,680 Speaker 1: We're talking about heart disease, diabetes, stroke, and cancer, which 99 00:06:31,680 --> 00:06:34,600 Speaker 1: costs Americans over one hundred and seventy three billion each 100 00:06:34,680 --> 00:06:38,200 Speaker 1: year in medical expenses alone. 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Yes, we 118 00:07:37,960 --> 00:07:40,760 Speaker 1: have the news of the day, but I'm excited that 119 00:07:40,800 --> 00:07:45,000 Speaker 1: we have Larry ward On who's an expert on AI 120 00:07:45,320 --> 00:07:47,320 Speaker 1: and one of the things that he's been digging into 121 00:07:47,400 --> 00:07:49,960 Speaker 1: and he's got a piece up at human events dot 122 00:07:50,000 --> 00:07:53,160 Speaker 1: com all about AI bias. 123 00:07:53,280 --> 00:07:56,640 Speaker 7: Larry joins us. Now, Larry, how are you great? 124 00:07:56,720 --> 00:07:57,440 Speaker 8: Thanks for having me. 125 00:08:03,160 --> 00:08:06,200 Speaker 1: Will Larry tell us a little bit about this piece 126 00:08:06,280 --> 00:08:07,880 Speaker 1: what made you want to put it together and what 127 00:08:07,920 --> 00:08:08,400 Speaker 1: did you find. 128 00:08:10,400 --> 00:08:14,480 Speaker 9: I've been in the digital space in conservative politics for 129 00:08:15,480 --> 00:08:19,760 Speaker 9: over twenty years. We've been We were the first to 130 00:08:19,840 --> 00:08:22,600 Speaker 9: call out Google in two thousand and four for bias 131 00:08:22,600 --> 00:08:25,880 Speaker 9: in its AD algorithm. We were the first shadow band 132 00:08:25,920 --> 00:08:28,440 Speaker 9: account on Facebook when I put up a meme that said, 133 00:08:28,960 --> 00:08:31,800 Speaker 9: when Obama calls the Seals, they got bin laden. When 134 00:08:31,800 --> 00:08:36,559 Speaker 9: the Seals called Obama, they got denied. It's long documented. 135 00:08:36,880 --> 00:08:44,800 Speaker 9: The bias in the Silicon Valley tendency to censor, to demonetize, 136 00:08:45,200 --> 00:08:50,680 Speaker 9: to choke conservative content has been well documented. It was 137 00:08:50,800 --> 00:08:54,360 Speaker 9: covert at one point, but you know, over the last 138 00:08:54,400 --> 00:08:56,920 Speaker 9: couple of years they were really overt about it, and 139 00:08:57,000 --> 00:08:59,720 Speaker 9: now they're going back in in the closet and being 140 00:08:59,720 --> 00:09:03,120 Speaker 9: more covert about their bias. But anybody that choosed AI 141 00:09:03,200 --> 00:09:08,520 Speaker 9: and asked political questions automatically gets the liberal bias answer first. 142 00:09:08,520 --> 00:09:11,079 Speaker 9: And it's it's like getting the first page of Google, 143 00:09:12,040 --> 00:09:14,240 Speaker 9: because people make up their mind on the first page 144 00:09:14,240 --> 00:09:16,280 Speaker 9: of Google. You're going to make up your mind on 145 00:09:16,360 --> 00:09:19,920 Speaker 9: the first answer from from the prompt on the political 146 00:09:20,000 --> 00:09:23,400 Speaker 9: question that you're asking, and over and over and over again. 147 00:09:23,480 --> 00:09:28,280 Speaker 9: AI has shown that it has very strong liberal bias. 148 00:09:30,559 --> 00:09:33,160 Speaker 1: Well, and and this really goes back to one of 149 00:09:33,200 --> 00:09:36,640 Speaker 1: those things that like, I'm not a computer programmer, but 150 00:09:37,080 --> 00:09:37,520 Speaker 1: you know, I. 151 00:09:37,480 --> 00:09:39,760 Speaker 7: Do understand some of the basics of this, and. 152 00:09:39,720 --> 00:09:43,000 Speaker 1: Garbage in, garbage out. This has always been one of 153 00:09:43,000 --> 00:09:45,400 Speaker 1: the issues in computing. It's always been one of the 154 00:09:45,440 --> 00:09:49,319 Speaker 1: issues in algorithms or systemic modeling. And that's the same 155 00:09:49,480 --> 00:09:52,280 Speaker 1: issue that a lot of the AI has now, not 156 00:09:52,360 --> 00:09:55,760 Speaker 1: just the bias in terms of being fed these these 157 00:09:55,800 --> 00:09:59,240 Speaker 1: far left sources like Wikipedia or the New York Times 158 00:09:59,400 --> 00:10:02,120 Speaker 1: or so many of liberal corporate media that's out there, 159 00:10:02,200 --> 00:10:05,000 Speaker 1: but also one of the issues that's come up is 160 00:10:05,040 --> 00:10:07,840 Speaker 1: that AI is degrading as the models are continued to 161 00:10:07,840 --> 00:10:11,360 Speaker 1: be trained on these on the internet, because there's so 162 00:10:11,480 --> 00:10:15,320 Speaker 1: much AI generated content that's now appearing on the Internet. 163 00:10:15,480 --> 00:10:18,440 Speaker 1: So you have AI that's being trained on AI, which 164 00:10:18,480 --> 00:10:21,080 Speaker 1: degrades the overall value of the model itself. 165 00:10:22,400 --> 00:10:24,480 Speaker 9: You're one hundred percent right, and it's going to continue 166 00:10:24,520 --> 00:10:28,040 Speaker 9: to get worse. And look AI is now these AI companies, 167 00:10:28,040 --> 00:10:30,360 Speaker 9: these major lms are making deals. You saw there was 168 00:10:30,400 --> 00:10:35,080 Speaker 9: a huge deal with Amazon that was put out there 169 00:10:35,200 --> 00:10:37,840 Speaker 9: to the New York Times where they're paying the New 170 00:10:37,920 --> 00:10:41,000 Speaker 9: York Times and undisclosed amount of money, probably hundreds of 171 00:10:41,000 --> 00:10:41,800 Speaker 9: millions of dollars. 172 00:10:41,600 --> 00:10:43,640 Speaker 8: To train its model on the New York Times. 173 00:10:43,960 --> 00:10:46,360 Speaker 9: And you're seeing that these companies are going out either 174 00:10:46,400 --> 00:10:51,640 Speaker 9: to mainstream or to very liberal publications and paying them 175 00:10:51,679 --> 00:10:53,559 Speaker 9: a lot of money so that they can train their 176 00:10:53,559 --> 00:10:55,480 Speaker 9: model on their content. And what they're not doing is 177 00:10:55,520 --> 00:10:59,319 Speaker 9: they're not seeking out conservative publications and conservative voices like 178 00:10:59,400 --> 00:11:03,600 Speaker 9: Human Events, the Post Millennial or the Washington Examiner, et cetera. 179 00:11:03,480 --> 00:11:03,800 Speaker 3: And so on. 180 00:11:03,800 --> 00:11:07,240 Speaker 9: And we we have to get these AI companies for 181 00:11:07,360 --> 00:11:13,400 Speaker 9: two reasons. One, the the the Silicon Valley has destroyed 182 00:11:13,840 --> 00:11:17,600 Speaker 9: the financial wherewithal of a lot of these companies on 183 00:11:17,679 --> 00:11:21,080 Speaker 9: the right because they've demodetized them, they've throttled them, they've 184 00:11:21,160 --> 00:11:24,600 Speaker 9: choked them, and they've put them in financial deep financial stress. 185 00:11:24,840 --> 00:11:28,800 Speaker 9: And two, these AI models need to be trusted. And 186 00:11:28,920 --> 00:11:31,800 Speaker 9: you know, look, I've said this for a very long time. 187 00:11:32,240 --> 00:11:36,040 Speaker 9: The trust is the number one asset. It's the number 188 00:11:36,080 --> 00:11:39,760 Speaker 9: one investment that AI companies need to make in order 189 00:11:39,840 --> 00:11:43,280 Speaker 9: to yield a high investment. And right now, who's going 190 00:11:43,360 --> 00:11:46,720 Speaker 9: to trust an AI company like open Ai that that 191 00:11:47,000 --> 00:11:50,880 Speaker 9: or Google that puts George Washington as a black president, 192 00:11:51,120 --> 00:11:53,560 Speaker 9: or you know, you type into open ai who's the 193 00:11:53,600 --> 00:11:57,400 Speaker 9: president and they say Joe Biden is still the president. 194 00:11:57,440 --> 00:11:58,600 Speaker 8: I mean, there's there's. 195 00:11:58,480 --> 00:12:02,040 Speaker 9: Lots and lots of evidence overall that that they are 196 00:12:02,440 --> 00:12:05,440 Speaker 9: just off the rails in terms of their liberal bias. 197 00:12:07,240 --> 00:12:09,760 Speaker 1: Well, and so what you're what you're explaining though, is 198 00:12:09,880 --> 00:12:14,400 Speaker 1: actually potentially a way for AI to correct this issue 199 00:12:14,640 --> 00:12:17,960 Speaker 1: or or potentially help with this and perhaps President Trump's 200 00:12:18,280 --> 00:12:19,200 Speaker 1: AI policy. 201 00:12:19,400 --> 00:12:21,280 Speaker 7: We know that this is coming out of the White House. 202 00:12:21,320 --> 00:12:24,760 Speaker 1: Now that's something where numerous individuals in the administration. I 203 00:12:24,800 --> 00:12:27,480 Speaker 1: would say elon, but you know, he's sort of stepped away, 204 00:12:27,480 --> 00:12:30,000 Speaker 1: but he obviously plays a huge role in GROC and XAI, 205 00:12:30,800 --> 00:12:34,000 Speaker 1: even going to the point where I believe that X 206 00:12:34,080 --> 00:12:37,720 Speaker 1: itself has now been signed over to XAI, so that 207 00:12:37,840 --> 00:12:40,720 Speaker 1: all of the content that I post on X, that 208 00:12:40,800 --> 00:12:45,320 Speaker 1: everyone posts on X it's already being fed into the 209 00:12:45,559 --> 00:12:50,000 Speaker 1: Xai algorithm, so that it's being it's training rock as. 210 00:12:49,760 --> 00:12:51,840 Speaker 7: You go, and so there's no issues there. 211 00:12:51,880 --> 00:12:54,800 Speaker 1: So one of the one of the Now obviously there's 212 00:12:54,840 --> 00:12:57,439 Speaker 1: conservatives and liberals on it, but what you're saying is 213 00:12:57,600 --> 00:13:00,400 Speaker 1: that they could go in and actually work work with 214 00:13:00,559 --> 00:13:03,480 Speaker 1: you know, feed it, feed it human Events, feed it 215 00:13:03,559 --> 00:13:06,560 Speaker 1: the War Room, feed it Tucker Carlson, and then you 216 00:13:06,600 --> 00:13:09,240 Speaker 1: would get at, you know, at least achieve a balance 217 00:13:09,320 --> 00:13:12,439 Speaker 1: or an understanding that there are various perspectives on these issues. 218 00:13:13,679 --> 00:13:16,080 Speaker 9: You're absolutely right. There has to be an equal weight. 219 00:13:16,160 --> 00:13:18,600 Speaker 9: You know, the way these these systems work is they 220 00:13:18,640 --> 00:13:20,920 Speaker 9: wait these publications, they wait these sources. 221 00:13:21,080 --> 00:13:21,920 Speaker 8: There has to be an. 222 00:13:21,800 --> 00:13:25,880 Speaker 9: Equal weight on the on the conservative side as there 223 00:13:25,920 --> 00:13:28,680 Speaker 9: is on the liberal side. And these companies not only 224 00:13:28,760 --> 00:13:33,080 Speaker 9: have to you know, use these use their content, but 225 00:13:33,120 --> 00:13:35,080 Speaker 9: they also have to pay for the content, and it 226 00:13:35,080 --> 00:13:37,240 Speaker 9: has to be at the same market rate that they're 227 00:13:37,280 --> 00:13:39,640 Speaker 9: making deals with the New York Times, that they're making 228 00:13:39,679 --> 00:13:42,679 Speaker 9: deals with the Washington Posts and CNN. They have to 229 00:13:42,840 --> 00:13:47,840 Speaker 9: use conservative publications and pay conservative publications at least the 230 00:13:47,880 --> 00:13:52,240 Speaker 9: same amount, if not more, because they've been using, they've 231 00:13:52,280 --> 00:13:56,960 Speaker 9: been rotteling and demonetizing and hurting these conservative publications for 232 00:13:57,000 --> 00:13:57,839 Speaker 9: a very long time. 233 00:13:59,200 --> 00:14:00,960 Speaker 1: Well and we know this has been done all the 234 00:14:00,960 --> 00:14:03,720 Speaker 1: way back to the days of breit Barton Sleeping giants. 235 00:14:03,760 --> 00:14:07,760 Speaker 1: That they use this as a model to block conservative 236 00:14:07,800 --> 00:14:11,120 Speaker 1: news or just truthful news, anything that's out there telling 237 00:14:11,120 --> 00:14:13,680 Speaker 1: the truth, whether it be Russia, whether it be Hunter Biden, 238 00:14:13,760 --> 00:14:17,440 Speaker 1: whether it be Joe Biden's mental status, or whether it 239 00:14:17,520 --> 00:14:20,800 Speaker 1: be COVID and everything that's happening and these Chinese pathogens 240 00:14:20,800 --> 00:14:24,480 Speaker 1: and apparently we just call another Chinese path up in Michigan. 241 00:14:24,840 --> 00:14:28,560 Speaker 1: Larry Ward is on with us now. He's the head 242 00:14:28,600 --> 00:14:30,840 Speaker 1: of Market Rhythm. He's got a great column up on 243 00:14:31,000 --> 00:14:32,200 Speaker 1: Humanevents dot Com. 244 00:14:32,240 --> 00:14:33,280 Speaker 7: I'm Jack Prosobic. 245 00:14:33,600 --> 00:14:36,400 Speaker 1: You're listening to the Salem Radio Network and watching on 246 00:14:36,560 --> 00:14:37,520 Speaker 1: Real America's Voice. 247 00:14:37,560 --> 00:14:39,360 Speaker 7: We're going to take a quick break. We're going to 248 00:14:39,440 --> 00:14:42,400 Speaker 7: be right back because this is so important ending the 249 00:14:42,480 --> 00:14:43,640 Speaker 7: bias in AI. 250 00:14:43,720 --> 00:14:46,280 Speaker 1: And it's got to start now, folks, because understand this 251 00:14:46,480 --> 00:14:48,680 Speaker 1: right now is the worst AI will ever be. 252 00:14:49,200 --> 00:15:03,840 Speaker 10: This is Model one. 253 00:15:05,080 --> 00:15:08,400 Speaker 5: I'm Bo Davidson with your Real America's Voice headlines. Well, 254 00:15:08,440 --> 00:15:11,440 Speaker 5: the budget battle continues on Capitol Hill. The Senate now 255 00:15:11,440 --> 00:15:15,160 Speaker 5: has its turn to make some changes. Axios is reporting 256 00:15:15,200 --> 00:15:18,600 Speaker 5: that Senate Republicans are mapping out the July fourth stretch goal. 257 00:15:18,960 --> 00:15:22,160 Speaker 5: Senate Majority leader John Thune reportedly met with President Trump 258 00:15:22,160 --> 00:15:24,760 Speaker 5: this week and they are trying to ease any concerns 259 00:15:24,800 --> 00:15:28,360 Speaker 5: about tax and spending cuts Medicaid and other divisions, and 260 00:15:28,400 --> 00:15:31,600 Speaker 5: Elon Musk has some very very harsh criticism of the budget. 261 00:15:31,840 --> 00:15:34,360 Speaker 5: He posted on x the following I'm sorry, but I 262 00:15:34,480 --> 00:15:38,120 Speaker 5: just can't stand it anymore. This massive, outrageous pork field 263 00:15:38,120 --> 00:15:42,320 Speaker 5: Congressional spending bill is a disgusting abomination. Shame on those 264 00:15:42,320 --> 00:15:44,680 Speaker 5: who voted for it. You know you did wrong, You 265 00:15:44,760 --> 00:15:48,480 Speaker 5: know it. Meanwhile, two Chinese researchers have been charged by 266 00:15:48,560 --> 00:15:52,440 Speaker 5: US authorities for allegedly smuggling a dangerous fungus into the 267 00:15:52,560 --> 00:15:55,440 Speaker 5: United States that they plan to study at a University 268 00:15:55,440 --> 00:15:58,920 Speaker 5: of Michigan lab. The fungus is considered a potential agro 269 00:15:59,080 --> 00:16:02,280 Speaker 5: terrorism weapon due to its ability to cause severe crop 270 00:16:02,320 --> 00:16:06,440 Speaker 5: diseases and produce toxins harmful to both humans and livestock. 271 00:16:06,840 --> 00:16:10,320 Speaker 5: The researchers reportedly brought the fungus into the country without 272 00:16:10,360 --> 00:16:15,960 Speaker 5: the necessary federal permits, raising significant national security concerns. Meanwhile, 273 00:16:15,960 --> 00:16:18,800 Speaker 5: the White House formally sends its DOGE spending cuts request 274 00:16:18,960 --> 00:16:22,800 Speaker 5: over to Congress. This nine point four billion dollar package 275 00:16:23,040 --> 00:16:25,880 Speaker 5: is also known as Recisions, and it would eliminate funding 276 00:16:25,920 --> 00:16:30,560 Speaker 5: already passed by Congress. The majority of the cuts target NPR, PBS, 277 00:16:30,560 --> 00:16:33,720 Speaker 5: and USAID. And Congress will have forty five days to 278 00:16:33,760 --> 00:16:36,080 Speaker 5: consider the package after the White House sent it over. 279 00:16:36,480 --> 00:16:39,800 Speaker 5: Speaker Mike Johnson said the House will act quickly on this. 280 00:16:40,560 --> 00:16:43,880 Speaker 5: And President Trump says Chinese President Shi Jinping is very 281 00:16:43,920 --> 00:16:46,480 Speaker 5: hard to make a deal with. Trump says he likes 282 00:16:46,520 --> 00:16:48,920 Speaker 5: she and he always has in a true social post, 283 00:16:49,120 --> 00:16:50,800 Speaker 5: but he is very hard to make a deal with. 284 00:16:50,920 --> 00:16:53,440 Speaker 5: The White House said President Trump, and she will speak 285 00:16:53,480 --> 00:16:56,000 Speaker 5: about a trade deal coming up this week. This comes 286 00:16:56,040 --> 00:16:59,520 Speaker 5: after Trump said China violated an agreement to roll back tariffs. 287 00:17:00,000 --> 00:17:02,520 Speaker 5: Treasury Secretary Scott Besson said the trade talks we're a 288 00:17:02,520 --> 00:17:04,960 Speaker 5: bit stalled, and the two countries leaders would need to 289 00:17:05,000 --> 00:17:05,359 Speaker 5: weigh in. 290 00:17:05,640 --> 00:17:08,480 Speaker 7: Those are your headlines. Now back to Jack Pasobic and Human. 291 00:17:19,800 --> 00:17:20,200 Speaker 11: Today. 292 00:17:20,240 --> 00:17:22,160 Speaker 8: You know that you talk about influences. 293 00:17:22,200 --> 00:17:30,400 Speaker 3: These are influences and they're friends of mine. Jack Jack's 294 00:17:30,760 --> 00:17:31,280 Speaker 3: break down. 295 00:17:33,840 --> 00:17:36,960 Speaker 1: All right, folks, Jack PCBIC back Live, Human Events Daily, 296 00:17:37,000 --> 00:17:40,040 Speaker 1: Real America's Voice, Salem Radio Network. Folks, I got a 297 00:17:40,119 --> 00:17:43,399 Speaker 1: question for you. You ever notice how the power always 298 00:17:43,440 --> 00:17:46,320 Speaker 1: seems to go out right when you need it the most, 299 00:17:46,880 --> 00:17:49,479 Speaker 1: whether it's a heat wave or a summer storm, or 300 00:17:49,560 --> 00:17:52,840 Speaker 1: just too many people running the ac at once. Our 301 00:17:52,880 --> 00:17:56,560 Speaker 1: fragile grid can't keep up. And that's why I got 302 00:17:56,640 --> 00:18:00,320 Speaker 1: the grid Doctor thirty three hundred solar generator from my 303 00:18:00,440 --> 00:18:04,880 Speaker 1: Patriots supply. This thing is an absolute beast thirty three 304 00:18:04,960 --> 00:18:07,520 Speaker 1: hundred watts of off grid power. 305 00:18:07,680 --> 00:18:09,960 Speaker 7: Tell you what, It keeps your fridge, your freezer, your. 306 00:18:09,960 --> 00:18:14,439 Speaker 1: Lights, even medical devices running whenever grid power fails, and 307 00:18:14,480 --> 00:18:18,000 Speaker 1: of course charges all my devices. And right now they've 308 00:18:18,000 --> 00:18:20,480 Speaker 1: got a crazy deal going. When you buy the grid 309 00:18:20,520 --> 00:18:24,400 Speaker 1: Doctor thirty three hundred, they will throw in two waterproof 310 00:18:24,680 --> 00:18:28,320 Speaker 1: two hundred watts solar panels completely for free. We're talking 311 00:18:28,359 --> 00:18:32,080 Speaker 1: in almost nine hundred dollars value. These aren't cheap plastic 312 00:18:32,119 --> 00:18:36,680 Speaker 1: panels either, now, these are super durable, waterproof, built to 313 00:18:36,800 --> 00:18:40,440 Speaker 1: last through storms, heat, and who knows what else to 314 00:18:40,600 --> 00:18:44,399 Speaker 1: shop at my Patriots supply dot com slash jack to 315 00:18:44,480 --> 00:18:48,000 Speaker 1: claim your free panels today. If there was ever a 316 00:18:48,000 --> 00:18:51,480 Speaker 1: time to get serious about blackout protection, this is it. 317 00:18:51,760 --> 00:18:55,160 Speaker 1: Go to my Patriots, apply dot com slash jack. That's 318 00:18:55,200 --> 00:18:59,600 Speaker 1: my patriots, apply dot Com slash jack and get yours today. 319 00:19:00,119 --> 00:19:04,240 Speaker 1: Back on with the president of Market Rhythm, Larry Ward, 320 00:19:04,400 --> 00:19:06,879 Speaker 1: and he's walking through his new column that's up on 321 00:19:07,040 --> 00:19:12,760 Speaker 1: Humanevents dot com, and he's arguing that conservative publications need 322 00:19:12,800 --> 00:19:16,959 Speaker 1: to be included in these AI models to fix the 323 00:19:17,000 --> 00:19:18,160 Speaker 1: liberal bias problem. 324 00:19:18,240 --> 00:19:19,359 Speaker 7: And Larry, I'll. 325 00:19:19,200 --> 00:19:21,520 Speaker 1: Throw it back to you, because you're not talking about 326 00:19:21,640 --> 00:19:26,679 Speaker 1: making AI conservative, You're about making it viewpoint neutral so 327 00:19:26,760 --> 00:19:30,439 Speaker 1: that true information is able to actually get through the screen. 328 00:19:31,720 --> 00:19:32,280 Speaker 8: Absolutely. 329 00:19:32,280 --> 00:19:35,640 Speaker 9: Look if we went to twenty twenty when COVID was around, 330 00:19:35,840 --> 00:19:40,640 Speaker 9: and these AI models were just trained on the liberal bias, 331 00:19:40,680 --> 00:19:41,320 Speaker 9: what we we have. 332 00:19:41,560 --> 00:19:43,480 Speaker 8: We would have, you know, the AI. 333 00:19:43,320 --> 00:19:45,800 Speaker 9: Telling everybody they got to wear masks and go out 334 00:19:45,840 --> 00:19:49,400 Speaker 9: and get vaccines and stay indoors of course until there's 335 00:19:49,440 --> 00:19:52,560 Speaker 9: a Black Lives Matter protests, and then go out and participate. 336 00:19:52,920 --> 00:19:55,000 Speaker 9: That's what it would have been telling the American people. 337 00:19:55,040 --> 00:19:57,479 Speaker 9: And how many more people would have been fooled into 338 00:19:57,680 --> 00:19:59,480 Speaker 9: some of the some of the nonsense that went on 339 00:19:59,560 --> 00:20:02,119 Speaker 9: during COVID. So you know, we have to look at this. 340 00:20:02,160 --> 00:20:05,439 Speaker 9: It's a national security risk. These biased AI systems, they 341 00:20:05,480 --> 00:20:08,560 Speaker 9: pose a national national threat because they create blind spots 342 00:20:08,560 --> 00:20:12,439 Speaker 9: and everything from policy analysis to threat assessment. So it 343 00:20:12,520 --> 00:20:15,240 Speaker 9: has to we have to have a neutral view. We 344 00:20:15,320 --> 00:20:19,600 Speaker 9: have to have both conservative and liberal perspectives and quite frankly, 345 00:20:19,920 --> 00:20:22,320 Speaker 9: the uh like I like, I keep going back to 346 00:20:22,359 --> 00:20:24,960 Speaker 9: the the these AI companies should put their money where 347 00:20:25,000 --> 00:20:30,560 Speaker 9: their mouth is and and contribute uh the and contract 348 00:20:30,600 --> 00:20:33,480 Speaker 9: with these publications, these conservative publications, and pay the market 349 00:20:33,560 --> 00:20:36,240 Speaker 9: rate as soon as humanly possible. 350 00:20:37,840 --> 00:20:40,680 Speaker 1: Now, one of the pieces that you know that that 351 00:20:40,720 --> 00:20:45,440 Speaker 1: you've you've spoken about in in here is also the 352 00:20:45,480 --> 00:20:50,399 Speaker 1: idea of a mandate and the idea potentially of a 353 00:20:50,440 --> 00:20:54,000 Speaker 1: mandate or some form of regulation coming out from the 354 00:20:54,040 --> 00:20:56,439 Speaker 1: federal government saying this needs to be in there, and 355 00:20:56,480 --> 00:20:59,000 Speaker 1: if it's not in there, we're going to have problems. 356 00:20:59,160 --> 00:21:01,639 Speaker 1: Do you think that's something that the Trump administration could do? 357 00:21:03,000 --> 00:21:03,640 Speaker 8: Absolutely. 358 00:21:03,680 --> 00:21:08,280 Speaker 9: Look, I am a laws I fair you know, conservative capitalist, 359 00:21:08,320 --> 00:21:09,879 Speaker 9: I've I've been that way my whole life. 360 00:21:09,880 --> 00:21:11,120 Speaker 8: So for me to. 361 00:21:11,080 --> 00:21:13,880 Speaker 9: Come out and say that this needs to happen, that 362 00:21:13,920 --> 00:21:17,240 Speaker 9: government needs to be involved, and government must make sure 363 00:21:17,320 --> 00:21:20,960 Speaker 9: that that the AI systems are balanced with conservative and 364 00:21:21,040 --> 00:21:24,480 Speaker 9: liberal media is very very important. 365 00:21:24,600 --> 00:21:26,560 Speaker 8: It's important for a lot of different reasons. 366 00:21:26,600 --> 00:21:31,200 Speaker 9: So mandatory inclusion and having the administration either issue in 367 00:21:31,280 --> 00:21:35,760 Speaker 9: executive order, push Congress, or or even just just push 368 00:21:35,880 --> 00:21:40,080 Speaker 9: these companies, pressure these companies into doing business with conservatives 369 00:21:40,280 --> 00:21:43,520 Speaker 9: and signing long term contracts is essential. 370 00:21:43,840 --> 00:21:47,080 Speaker 8: We have to have AI without bias. 371 00:21:48,560 --> 00:21:49,560 Speaker 7: Well, and it's as simple as that. 372 00:21:49,640 --> 00:21:51,800 Speaker 1: And you talk to anybody in Silicon Value right now, 373 00:21:52,000 --> 00:21:54,639 Speaker 1: and they'll tell you that Google is done Google search. 374 00:21:54,880 --> 00:21:57,320 Speaker 1: Everybody may it's like the butt of a joke that, oh, 375 00:21:57,400 --> 00:21:59,399 Speaker 1: you guys still use Google blah blah blah, what are 376 00:21:59,400 --> 00:22:00,119 Speaker 1: you using Google for? 377 00:22:00,440 --> 00:22:01,960 Speaker 7: It's all about AI clients. 378 00:22:02,160 --> 00:22:04,520 Speaker 1: Everybody uses AI on their phones out there right now, 379 00:22:04,840 --> 00:22:07,400 Speaker 1: anyone in California right you're you're talking to them, and 380 00:22:07,480 --> 00:22:10,159 Speaker 1: even I've noticed it just anecdotally people. But my wife 381 00:22:10,200 --> 00:22:13,119 Speaker 1: she'll she'll use AI to she's searching this, she's searching 382 00:22:13,200 --> 00:22:17,000 Speaker 1: that she you know, if she's if she's writing something. 383 00:22:17,480 --> 00:22:19,760 Speaker 1: English isn't her first language, so if she wants to 384 00:22:19,760 --> 00:22:22,639 Speaker 1: double check something, she'll use AI constantly. 385 00:22:22,680 --> 00:22:23,919 Speaker 10: Not that she used to do it a lot, but 386 00:22:23,960 --> 00:22:25,160 Speaker 10: you know, just double check. 387 00:22:25,280 --> 00:22:27,520 Speaker 1: Make sure that, uh, make sure that that it's written 388 00:22:27,560 --> 00:22:30,480 Speaker 1: up right. You need to know that the information you're 389 00:22:30,480 --> 00:22:33,439 Speaker 1: getting is unbiased and is accurate. 390 00:22:33,520 --> 00:22:34,200 Speaker 7: Larry, where can. 391 00:22:34,119 --> 00:22:37,000 Speaker 1: People go to follow you and get more access to 392 00:22:37,480 --> 00:22:38,600 Speaker 1: this article? 393 00:22:39,840 --> 00:22:42,560 Speaker 9: But you can go to uh Constitutional rights pack dot 394 00:22:42,560 --> 00:22:45,360 Speaker 9: com that's that's our political action committee or in service 395 00:22:45,440 --> 00:22:48,200 Speaker 9: of humanity, and that is a five one C three 396 00:22:48,200 --> 00:22:52,720 Speaker 9: newly formed to create AI that is totally in service 397 00:22:52,760 --> 00:22:56,919 Speaker 9: of humanity as opposed to having humanity in service of AI. 398 00:22:58,880 --> 00:23:02,120 Speaker 7: AI in serve of humanity. I like that. 399 00:23:02,240 --> 00:23:04,560 Speaker 1: It's got a populous feel to it. Larry, this is great. 400 00:23:04,600 --> 00:23:07,840 Speaker 1: Please come back on any time you like. These issues 401 00:23:07,880 --> 00:23:11,560 Speaker 1: are so important. And guess what, folks, they're not science future, 402 00:23:11,880 --> 00:23:15,160 Speaker 1: they're science now. Jack Pisoviac, we write back, We're talking 403 00:23:15,240 --> 00:23:18,160 Speaker 1: AI today. Real America's Voiceail Meridia Network. 404 00:23:34,040 --> 00:23:36,760 Speaker 5: And I'm Bo Davidson with your Real America's Voice headlines. 405 00:23:37,160 --> 00:23:40,400 Speaker 5: The Congressional Budget Office says that President Donald Trump's Big 406 00:23:40,440 --> 00:23:44,000 Speaker 5: Beautiful Bill would cut taxes by three point seven trillion 407 00:23:44,080 --> 00:23:47,600 Speaker 5: dollars while adding two point four trillion to the national debt. 408 00:23:47,760 --> 00:23:52,720 Speaker 5: The Trump administration and congressional Republicans have criticized the CBO's analysis, 409 00:23:53,040 --> 00:23:56,359 Speaker 5: arguing that the CBO underestimated the growth in federal tax 410 00:23:56,400 --> 00:23:59,840 Speaker 5: receipts spurred by greater economic activity as a result of 411 00:23:59,880 --> 00:24:02,560 Speaker 5: the Tax Cuts and Jobs Act that passed back in 412 00:24:02,600 --> 00:24:06,560 Speaker 5: twenty seventeen and over in Arizona, Governor Katie Hobbs is 413 00:24:06,600 --> 00:24:09,840 Speaker 5: facing backlash for vetoing a bill that would prevent China 414 00:24:10,119 --> 00:24:13,119 Speaker 5: from buying up land next to strategic assets such as 415 00:24:13,160 --> 00:24:17,320 Speaker 5: military bases. Arizona State Senate majority leader Janey shamp called 416 00:24:17,359 --> 00:24:21,400 Speaker 5: Hobbes's move quote utterly insane and called her an obstructionist. 417 00:24:21,840 --> 00:24:25,800 Speaker 5: Chinese investment in strategic land, especially near military bases, has 418 00:24:25,840 --> 00:24:28,960 Speaker 5: been a growing national security concern. Hobbs is up for 419 00:24:29,000 --> 00:24:32,320 Speaker 5: reelection next year, and vetos such as this could impact 420 00:24:32,400 --> 00:24:36,560 Speaker 5: her chances. In another news, Defense Secretary Pete Hegseth has 421 00:24:36,720 --> 00:24:40,160 Speaker 5: ordered a renaming of the Navy ship, the USNS Harvey Milk, 422 00:24:40,440 --> 00:24:43,520 Speaker 5: which had been named after the San Francisco gay rights activist. 423 00:24:43,960 --> 00:24:47,960 Speaker 5: The Military Times reported the renaming of the ship referencing 424 00:24:48,000 --> 00:24:50,560 Speaker 5: a memo from the Office of the Secretary of the Navy. 425 00:24:51,000 --> 00:24:53,479 Speaker 5: According to reports, this move is intended to be in 426 00:24:53,600 --> 00:24:57,600 Speaker 5: line with the Commander in Chief's priorities, ethos, and history. 427 00:24:58,440 --> 00:25:00,840 Speaker 5: In peace talks between Russia and UNS Crane are stalling 428 00:25:00,920 --> 00:25:04,399 Speaker 5: after Ukraine's attack on Russian military planes. When asked what 429 00:25:04,480 --> 00:25:08,159 Speaker 5: response there would be, Russia's deputy Foreign minister said that quote, 430 00:25:08,200 --> 00:25:10,600 Speaker 5: all options are on the table, that it is a 431 00:25:10,680 --> 00:25:14,399 Speaker 5: question for our military. Russia also urged the UK and 432 00:25:14,480 --> 00:25:16,720 Speaker 5: the US to react in such a way that would 433 00:25:16,760 --> 00:25:20,199 Speaker 5: stop further escalation, implying that the West aided Ukraine with 434 00:25:20,240 --> 00:25:23,520 Speaker 5: target coordinates, supplied weapons and refusing to condemn the act. 435 00:25:23,880 --> 00:25:27,439 Speaker 5: After Trump rebuked Vladimir Putin a week earlier, Trump's Ukraine 436 00:25:27,560 --> 00:25:30,160 Speaker 5: envoys said that escalation from the war is quote going 437 00:25:30,320 --> 00:25:33,720 Speaker 5: way up. White Oat spokesperson Caroline Levitt said that the 438 00:25:33,800 --> 00:25:37,800 Speaker 5: US did not receive any advanced notice of Ukraine's strikes. 439 00:25:38,080 --> 00:25:40,360 Speaker 5: And those are your Real America's Voice headlines from our newsroom. 440 00:25:40,520 --> 00:25:48,320 Speaker 5: We'll go head back now to Jack Pasobac and Human Events. 441 00:25:49,840 --> 00:25:50,399 Speaker 1: And Jack. 442 00:25:50,440 --> 00:25:51,200 Speaker 8: Where's Jack? 443 00:25:52,800 --> 00:25:53,639 Speaker 12: Where's Jack? 444 00:25:55,080 --> 00:25:56,560 Speaker 9: Where is he? Jack? 445 00:25:56,640 --> 00:25:57,399 Speaker 1: I want to see you. 446 00:26:00,080 --> 00:26:01,679 Speaker 8: Great job, Jack, Thank you. 447 00:26:02,000 --> 00:26:03,400 Speaker 4: What the job do you do? 448 00:26:03,400 --> 00:26:04,560 Speaker 11: You know, we have an incredible thing. 449 00:26:04,720 --> 00:26:06,240 Speaker 8: We're always talking about the fake. 450 00:26:06,160 --> 00:26:08,960 Speaker 9: News and de band but we have guys and these 451 00:26:09,040 --> 00:26:10,640 Speaker 9: are the guys should forgetting pulses? 452 00:26:13,160 --> 00:26:15,480 Speaker 7: Are Jack Clovic back Human Events Daily? 453 00:26:15,760 --> 00:26:23,360 Speaker 1: Last week I recorded a debate with Livvy Emmons regarding AI. 454 00:26:23,560 --> 00:26:27,159 Speaker 1: We weren't able to play it because of time constraints, 455 00:26:27,640 --> 00:26:29,800 Speaker 1: but we have it and we're going to play it. 456 00:26:29,840 --> 00:26:30,640 Speaker 7: For you right now. 457 00:26:31,240 --> 00:26:33,439 Speaker 1: She and I have been having a long standing debate 458 00:26:33,800 --> 00:26:36,920 Speaker 1: about the use of AI, and I think it was 459 00:26:37,000 --> 00:26:39,960 Speaker 1: time for another round because you wrote another op ed 460 00:26:40,040 --> 00:26:41,440 Speaker 1: on it and I was like, all right, let's see 461 00:26:41,480 --> 00:26:43,639 Speaker 1: what Libby's got to say about AI now. 462 00:26:43,760 --> 00:26:45,560 Speaker 7: So for folks who hadn't. 463 00:26:45,280 --> 00:26:48,880 Speaker 1: Seen the earlier stages of this debate, I have said 464 00:26:49,320 --> 00:26:52,600 Speaker 1: that AI is okay to use, and I've clearly used 465 00:26:52,600 --> 00:26:56,560 Speaker 1: it in marketing, and I've used it in some things, 466 00:26:57,560 --> 00:27:00,720 Speaker 1: you know, either for the show or video that we've made, 467 00:27:01,400 --> 00:27:07,399 Speaker 1: what we made, the preceptions of various videos in the past, 468 00:27:07,440 --> 00:27:12,320 Speaker 1: even years ago. And Libya is just totally against AI. 469 00:27:12,480 --> 00:27:14,159 Speaker 1: She's like a lot of it, she doesn't want to 470 00:27:14,240 --> 00:27:17,200 Speaker 1: use it. She's militantly a lot of on the question 471 00:27:17,359 --> 00:27:19,720 Speaker 1: of AI. So I've wanted to get into this op 472 00:27:19,880 --> 00:27:21,000 Speaker 1: ed Libby, I've had it. 473 00:27:22,040 --> 00:27:24,000 Speaker 11: I wouldn't say I'm a lot I would say I'm 474 00:27:24,040 --> 00:27:26,720 Speaker 11: a lover of humanity and I love words and I 475 00:27:26,840 --> 00:27:27,560 Speaker 11: love stories. 476 00:27:27,720 --> 00:27:29,640 Speaker 8: So just pushing back right there. 477 00:27:30,040 --> 00:27:33,000 Speaker 11: But yeah, we've seen some recent developments in AI that 478 00:27:33,160 --> 00:27:35,840 Speaker 11: have been pretty stunning, and I would say back up 479 00:27:36,000 --> 00:27:38,119 Speaker 11: my view, which is that AI is a tool and 480 00:27:38,200 --> 00:27:40,560 Speaker 11: it's not a tool that should be used by someone 481 00:27:40,600 --> 00:27:42,600 Speaker 11: who doesn't know how to use that tool. We had 482 00:27:42,640 --> 00:27:46,919 Speaker 11: a situation recently where a commissioned author wrote a summer 483 00:27:46,960 --> 00:27:50,920 Speaker 11: reading list and used AI to get recommendations for that 484 00:27:51,480 --> 00:27:54,119 Speaker 11: recommended summer reading list, and the AI spit out a 485 00:27:54,200 --> 00:27:58,520 Speaker 11: bunch of fake books by real authors, so that actually 486 00:27:59,000 --> 00:28:01,520 Speaker 11: he didn't check it, didn't check it, his editors didn't 487 00:28:01,560 --> 00:28:03,760 Speaker 11: check it. No fact checkers checked it, and the whole 488 00:28:03,840 --> 00:28:06,639 Speaker 11: thing ran in a big advertorial supplement in the Philadelphia 489 00:28:06,640 --> 00:28:08,080 Speaker 11: Inquirer and the Chicago Sun. 490 00:28:08,040 --> 00:28:10,040 Speaker 8: Times, so that was amazing. 491 00:28:10,320 --> 00:28:13,120 Speaker 11: A federal judge is seeking to hold a law firm 492 00:28:13,160 --> 00:28:17,840 Speaker 11: in Alabama for sanctions after that law firm filed a 493 00:28:17,920 --> 00:28:21,480 Speaker 11: brief with fake citations of fake cases in order to 494 00:28:21,600 --> 00:28:24,320 Speaker 11: defend themselves, and that's not the first time that that 495 00:28:24,560 --> 00:28:27,000 Speaker 11: has happened. What we have going on here is what 496 00:28:27,119 --> 00:28:30,600 Speaker 11: are being called AI hallucinations, otherwise known as complete and 497 00:28:30,640 --> 00:28:34,160 Speaker 11: total lies and fabrications, where AI has asked a question 498 00:28:34,400 --> 00:28:37,919 Speaker 11: and it just makes stuff up, and then people are 499 00:28:38,080 --> 00:28:41,040 Speaker 11: too lazy to check what the AI has spit back 500 00:28:41,080 --> 00:28:44,600 Speaker 11: out at them and just run with it, completely unaware 501 00:28:45,040 --> 00:28:49,640 Speaker 11: and apparently unperturbed by the fact that they're just spreading lies. 502 00:28:50,640 --> 00:28:53,959 Speaker 1: Well so so, and I agree with you that AI does. 503 00:28:54,080 --> 00:28:56,120 Speaker 1: And I've always said that AI you can't take it 504 00:28:56,240 --> 00:28:58,200 Speaker 1: at face value. You always have to edit, you have 505 00:28:58,280 --> 00:29:00,600 Speaker 1: to have a human coming in and doing But I 506 00:29:00,680 --> 00:29:03,920 Speaker 1: suppose my issue though, isn't necessarily that people are being lazy. 507 00:29:04,000 --> 00:29:07,440 Speaker 1: Of course are being lazy, but what they're But the 508 00:29:07,520 --> 00:29:11,040 Speaker 1: other side is that if you only have the firm 509 00:29:11,200 --> 00:29:14,840 Speaker 1: that's using humans only, and other people are using AI 510 00:29:15,040 --> 00:29:17,760 Speaker 1: as a tool, not as the end all be all, 511 00:29:17,840 --> 00:29:20,200 Speaker 1: but as a tool, they are going to lap you 512 00:29:20,360 --> 00:29:21,800 Speaker 1: and they are going to get ahead of you. And 513 00:29:21,880 --> 00:29:24,320 Speaker 1: that's always been my position. And I want to play 514 00:29:24,400 --> 00:29:27,760 Speaker 1: and I apologize that the the on the radio side, 515 00:29:27,760 --> 00:29:29,280 Speaker 1: you won't be able to hear this the podcast side. 516 00:29:29,480 --> 00:29:31,840 Speaker 1: But there's this video that the Wall Street Journal put together, 517 00:29:32,000 --> 00:29:37,120 Speaker 1: this new movie that came out from just just it's 518 00:29:37,200 --> 00:29:42,920 Speaker 1: completely AI generated. It's completely AI created, every scene of it. 519 00:29:43,160 --> 00:29:46,840 Speaker 1: Every there are no humans involved, there are no actual 520 00:29:47,000 --> 00:29:49,200 Speaker 1: there's It's My Life with My Robot. It's sort of 521 00:29:49,240 --> 00:29:52,240 Speaker 1: a sitcom. And I'm sorry, and and Libby you've seen 522 00:29:52,280 --> 00:29:52,720 Speaker 1: this as well. 523 00:29:53,200 --> 00:29:56,720 Speaker 7: It looks almost perfect, It looks. 524 00:29:56,600 --> 00:30:00,360 Speaker 1: Almost perfect, like something you would see on TV that anytime. 525 00:30:00,440 --> 00:30:02,479 Speaker 1: Yet there's no actor that's it's kind of cute. It's 526 00:30:02,480 --> 00:30:06,080 Speaker 1: called my robot in me. It's very funny, and it's 527 00:30:06,160 --> 00:30:09,080 Speaker 1: all AI generated. And so I guess my question is, 528 00:30:09,640 --> 00:30:12,800 Speaker 1: if you're putting out stuff like this, how are you 529 00:30:12,880 --> 00:30:15,320 Speaker 1: going to compete cost wise? If you have to pay 530 00:30:15,440 --> 00:30:19,160 Speaker 1: actors and writers and producers and all the rest, when 531 00:30:19,360 --> 00:30:23,120 Speaker 1: the company next to you is producing stuff that's eighty 532 00:30:23,360 --> 00:30:27,240 Speaker 1: ninety percent is good but for a drastically reduced cost. 533 00:30:28,520 --> 00:30:28,720 Speaker 2: Yeah. 534 00:30:28,800 --> 00:30:30,720 Speaker 11: I see what you're saying about the cost issue. And 535 00:30:30,960 --> 00:30:34,040 Speaker 11: I don't think that humanity. I don't think that artists 536 00:30:34,560 --> 00:30:37,120 Speaker 11: need actually to spend a whole lot of money to 537 00:30:37,240 --> 00:30:39,760 Speaker 11: make good art. I don't think that's necessarily what has 538 00:30:39,800 --> 00:30:43,040 Speaker 11: to happen. Also, I would pause it that a small wonder. 539 00:30:43,080 --> 00:30:45,120 Speaker 11: I don't know if you remember, that show was at 540 00:30:45,200 --> 00:30:47,959 Speaker 11: least just as good as this robot show that's come 541 00:30:48,040 --> 00:30:53,320 Speaker 11: out now. That's you know, i'll manufactured this way. But 542 00:30:53,520 --> 00:30:55,480 Speaker 11: the thing too, that I think it's really important to 543 00:30:55,560 --> 00:30:59,880 Speaker 11: recognize is that the AI models that are being try 544 00:31:00,360 --> 00:31:03,800 Speaker 11: are being trained on existing content, and so far that 545 00:31:03,960 --> 00:31:08,000 Speaker 11: existing content is human generated, it's you know, all of 546 00:31:08,080 --> 00:31:10,440 Speaker 11: the stuff on the Internet that has been written and 547 00:31:10,560 --> 00:31:15,640 Speaker 11: created by human beings, from filmmakers to writers, to actors 548 00:31:15,760 --> 00:31:18,560 Speaker 11: and producers and whoever else, and that's what the AI 549 00:31:18,720 --> 00:31:21,960 Speaker 11: is being trained on. But we're increasingly going to get 550 00:31:22,000 --> 00:31:25,680 Speaker 11: to a situation where AI is being trained on AI content, 551 00:31:25,800 --> 00:31:28,720 Speaker 11: and we're going to find ourselves in an endless regurgitation 552 00:31:28,920 --> 00:31:34,080 Speaker 11: loop with absolutely no new ideas being presented or consumed, 553 00:31:34,240 --> 00:31:37,400 Speaker 11: and human beings perhaps are going to be satisfied with 554 00:31:37,520 --> 00:31:40,080 Speaker 11: something that appears to be good enough, but it's not 555 00:31:40,320 --> 00:31:43,520 Speaker 11: really going to be as worthwhile as what comes out 556 00:31:43,560 --> 00:31:46,120 Speaker 11: of the human brain. We like to say to ourselves 557 00:31:46,200 --> 00:31:48,920 Speaker 11: that AI is thinking, but you can only truly believe 558 00:31:48,960 --> 00:31:51,880 Speaker 11: that AI is thinking if you don't think very highly 559 00:31:52,000 --> 00:31:56,920 Speaker 11: of thinking itself. Because AI is not actually generating anything new. 560 00:31:57,040 --> 00:31:59,920 Speaker 11: It is simply amalgamating that which is already out there, 561 00:32:00,480 --> 00:32:03,840 Speaker 11: and it doesn't have the capability of distinguishing between good 562 00:32:03,960 --> 00:32:06,920 Speaker 11: and bad, or right and wrong, or true and false. 563 00:32:07,840 --> 00:32:10,200 Speaker 7: Well, Well, libya, and I'll throw you. 564 00:32:10,480 --> 00:32:13,240 Speaker 1: I'll throw this one to you here because there was 565 00:32:13,600 --> 00:32:15,080 Speaker 1: an article I think it was an op ed I 566 00:32:15,120 --> 00:32:18,480 Speaker 1: guess out of the Register earlier this week that says 567 00:32:19,000 --> 00:32:22,800 Speaker 1: there are signs of AI model collapse that are beginning 568 00:32:22,880 --> 00:32:25,960 Speaker 1: to reveal themselves, and I don't want to go through 569 00:32:26,560 --> 00:32:30,600 Speaker 1: all of the all of the iterations of it. It's 570 00:32:30,600 --> 00:32:33,520 Speaker 1: talking about how search engines are now being AI optimized, 571 00:32:33,960 --> 00:32:37,520 Speaker 1: how AI is definitely better for search than Google has 572 00:32:37,640 --> 00:32:41,680 Speaker 1: ever been. Google is no longer the best search engine. However, 573 00:32:42,480 --> 00:32:47,400 Speaker 1: one of the big issues that they have is that 574 00:32:47,600 --> 00:32:50,880 Speaker 1: so AI is currently being trained in these large language models, 575 00:32:51,200 --> 00:32:53,920 Speaker 1: is being trained on the open Internet. In many cases, 576 00:32:53,960 --> 00:32:57,680 Speaker 1: they're not being trained on archives. And the issue with 577 00:32:57,840 --> 00:33:01,440 Speaker 1: that is that there's now so much much AI generated 578 00:33:01,600 --> 00:33:05,360 Speaker 1: content on the Internet that it's being trained by content 579 00:33:05,520 --> 00:33:08,640 Speaker 1: that is itself AI generated. So it gets to your point, 580 00:33:08,680 --> 00:33:10,640 Speaker 1: this is speaking exactly to what you're saying, that the 581 00:33:10,720 --> 00:33:14,800 Speaker 1: AI is being trained on AI generated content, and so 582 00:33:14,960 --> 00:33:18,680 Speaker 1: without the human generated content it is now the models 583 00:33:18,800 --> 00:33:24,280 Speaker 1: are degrading and the models are failing. And this is because, 584 00:33:24,320 --> 00:33:26,800 Speaker 1: by the way, just to step back for a second, 585 00:33:27,160 --> 00:33:29,920 Speaker 1: this is because what we're referring to in terms of chat, 586 00:33:29,960 --> 00:33:34,040 Speaker 1: TPT and rock and even XAI, it's not actually artificial intelligence. 587 00:33:34,280 --> 00:33:37,240 Speaker 7: What it is our large language models. What does that do? 588 00:33:39,360 --> 00:33:44,560 Speaker 1: It takes in large bulks of information, words, sentences, phrases, 589 00:33:44,800 --> 00:33:50,360 Speaker 1: newspaper articles, novels, books, magazines, et cetera, movie scripts, plugs 590 00:33:50,400 --> 00:33:54,480 Speaker 1: them all in together and then creates an algorithm basically 591 00:33:54,680 --> 00:33:58,000 Speaker 1: of how humans speak by defining word maps, which word 592 00:33:58,400 --> 00:34:00,760 Speaker 1: is close to another word, and things like this, And 593 00:34:00,920 --> 00:34:05,680 Speaker 1: so it can understand that based on where humans have written. 594 00:34:05,920 --> 00:34:09,759 Speaker 1: The problem is as you go into more and more 595 00:34:09,840 --> 00:34:14,200 Speaker 1: AI generated content, the human touch is lost, and therefore 596 00:34:14,320 --> 00:34:18,280 Speaker 1: the AI itself becomes graded. So this is already becoming 597 00:34:18,320 --> 00:34:20,719 Speaker 1: an issue as people look at these models. And I 598 00:34:20,719 --> 00:34:24,200 Speaker 1: guess there was a paper in Nature in twenty twenty 599 00:34:24,239 --> 00:34:27,800 Speaker 1: four that that was talking about this and said and quote, 600 00:34:28,560 --> 00:34:34,120 Speaker 1: the model becomes poisoned with its own projection of reality, 601 00:34:34,160 --> 00:34:37,440 Speaker 1: and we're talking about error accumulation, et cetera, et cetera. However, 602 00:34:37,640 --> 00:34:40,760 Speaker 1: I'm still going to stick with my position here because 603 00:34:41,480 --> 00:34:45,560 Speaker 1: this is an issue with this particular version of AI. Yeah, 604 00:34:45,880 --> 00:34:48,719 Speaker 1: there's going to be, you know, some a bunch of 605 00:34:48,800 --> 00:34:50,880 Speaker 1: bugs and glitches and things that need to be worked out. 606 00:34:50,920 --> 00:34:52,440 Speaker 1: But I want to be clear about something, and this 607 00:34:52,600 --> 00:34:56,239 Speaker 1: is just a fact. This is the worst AI will 608 00:34:56,320 --> 00:34:59,520 Speaker 1: ever be because this is version one point zero. So 609 00:34:59,640 --> 00:35:02,000 Speaker 1: the thing that we're seeing now, the writing, the movies 610 00:35:02,040 --> 00:35:05,839 Speaker 1: that are being generated. It's only going to get better 611 00:35:06,239 --> 00:35:10,440 Speaker 1: from here on. Humanity is going to go through a 612 00:35:10,560 --> 00:35:15,880 Speaker 1: new epoch. People are currently preparing their entire lives for 613 00:35:16,160 --> 00:35:19,600 Speaker 1: career fields that will not exist in five years, and 614 00:35:19,719 --> 00:35:22,239 Speaker 1: I don't know if we as a society are even 615 00:35:22,600 --> 00:35:25,520 Speaker 1: considering what the implications of this are going to be. 616 00:35:26,560 --> 00:35:29,120 Speaker 11: Yeah, that's why education should not be about preparing for 617 00:35:29,360 --> 00:35:32,520 Speaker 11: someone for a job, but should be about preparing yourself 618 00:35:32,680 --> 00:35:36,720 Speaker 11: to learn, to change, to grow, to understand, to research, 619 00:35:36,840 --> 00:35:38,160 Speaker 11: to figure things out on your own. 620 00:35:38,200 --> 00:35:39,480 Speaker 8: That's what education is about. 621 00:35:39,800 --> 00:35:41,720 Speaker 11: That's what it's supposed to be about. It's not supposed 622 00:35:41,719 --> 00:35:43,800 Speaker 11: to be about, you know, figuring out how to be 623 00:35:43,920 --> 00:35:46,359 Speaker 11: the best cog in the machine. That's not the point 624 00:35:46,400 --> 00:35:47,920 Speaker 11: of it, and it shouldn't be the point of it, 625 00:35:48,239 --> 00:35:49,840 Speaker 11: and it wasn't the point of it going back to 626 00:35:49,920 --> 00:35:52,360 Speaker 11: the Greeks, you know, who were some of the best educators, 627 00:35:52,680 --> 00:35:55,720 Speaker 11: which I think speaks to a certain extent to my point, 628 00:35:55,880 --> 00:35:58,920 Speaker 11: which is that the you know, the ancient stuff is 629 00:35:59,040 --> 00:36:02,040 Speaker 11: still better than all the AI stuff that's being spit 630 00:36:02,120 --> 00:36:04,919 Speaker 11: out right now, and the AI content that's being spit 631 00:36:05,000 --> 00:36:08,200 Speaker 11: out right now still requires a human touch. I've messed 632 00:36:08,200 --> 00:36:12,359 Speaker 11: around with some of the AI you know, movie generation things, 633 00:36:12,400 --> 00:36:14,759 Speaker 11: and I'm certainly not an expert, and I'm not great 634 00:36:14,760 --> 00:36:17,440 Speaker 11: at figuring out what the right prompt is to get 635 00:36:17,520 --> 00:36:20,040 Speaker 11: what it is that I am hoping for, so I 636 00:36:20,160 --> 00:36:22,320 Speaker 11: tend to just go back to trying to draw it. Frankly, 637 00:36:22,560 --> 00:36:26,120 Speaker 11: but I think that these are tools. They are tools 638 00:36:26,200 --> 00:36:29,279 Speaker 11: that need to be learned how to use them. You 639 00:36:29,360 --> 00:36:32,160 Speaker 11: don't just walk into a shop class and start messing 640 00:36:32,200 --> 00:36:34,760 Speaker 11: around with the table saw without losing a couple of fingers. 641 00:36:35,120 --> 00:36:37,479 Speaker 11: So that's a key part of this, right. You can't 642 00:36:37,680 --> 00:36:41,560 Speaker 11: just unleash a massive tool engine like this on the 643 00:36:41,640 --> 00:36:44,160 Speaker 11: world and expect it all to get worked out and 644 00:36:44,320 --> 00:36:46,759 Speaker 11: expect people to just figure out how to use it. 645 00:36:47,200 --> 00:36:49,480 Speaker 11: It diminishes in many ways the way that we are 646 00:36:49,560 --> 00:36:53,240 Speaker 11: using it now. It diminishes what human consciousness is because 647 00:36:53,280 --> 00:36:58,680 Speaker 11: we equate human consciousness to the AI, you know, tools 648 00:36:58,760 --> 00:37:01,480 Speaker 11: to the AI LL and that's not something that we 649 00:37:01,520 --> 00:37:04,080 Speaker 11: should be doing. And I think it's also very important 650 00:37:04,120 --> 00:37:07,200 Speaker 11: to remember that AI is created in Man's image and 651 00:37:07,400 --> 00:37:10,240 Speaker 11: human beings are created in God's image, and we cannot 652 00:37:10,760 --> 00:37:14,239 Speaker 11: turn and start worshiping and venerating this thing that we 653 00:37:14,440 --> 00:37:18,680 Speaker 11: have created without climbing that Tower of Babel and getting 654 00:37:18,840 --> 00:37:21,960 Speaker 11: smoten down, because that is also what we're looking at. 655 00:37:22,280 --> 00:37:25,080 Speaker 11: And that's what some of these AI hallucinations remind me of, 656 00:37:25,200 --> 00:37:28,359 Speaker 11: or reminds me of the Golum and Frankenstein and cher 657 00:37:28,480 --> 00:37:30,759 Speaker 11: is flying too close to the sun. When we look 658 00:37:30,840 --> 00:37:33,960 Speaker 11: to our old stories, we end up seeing what we 659 00:37:34,080 --> 00:37:35,160 Speaker 11: can face in the future. 660 00:37:35,239 --> 00:37:38,120 Speaker 8: And we need to heed those lessons for sure. And yeah, 661 00:37:38,239 --> 00:37:38,680 Speaker 8: I am. 662 00:37:38,719 --> 00:37:42,400 Speaker 11: Probably hopelessly twentieth century, and you know, I'll stick to 663 00:37:42,480 --> 00:37:45,560 Speaker 11: my books and my card catalog for sure. But I'm 664 00:37:45,640 --> 00:37:48,239 Speaker 11: not opposed to trying new things. I just think that 665 00:37:48,320 --> 00:37:50,800 Speaker 11: we always need to be aware of what it is 666 00:37:50,880 --> 00:37:53,200 Speaker 11: that we are giving up when we are grabbing out 667 00:37:53,239 --> 00:37:54,319 Speaker 11: into the new shiny thing. 668 00:37:54,600 --> 00:37:54,759 Speaker 5: You know. 669 00:37:55,320 --> 00:37:59,360 Speaker 1: Look, Look, Michael Crichton has always been and continues to 670 00:37:59,440 --> 00:38:03,160 Speaker 1: be my fa favorite author, and this is science run 671 00:38:03,280 --> 00:38:06,640 Speaker 1: amok has always been and technology run a monk has 672 00:38:06,800 --> 00:38:10,839 Speaker 1: always been at the heart of all his writings, as 673 00:38:10,920 --> 00:38:15,960 Speaker 1: well as false allegations in the movie Slash book Disclosure Libby, We're. 674 00:38:15,920 --> 00:38:18,360 Speaker 7: Just about out of time. I love the great AI debate. 675 00:38:18,560 --> 00:38:20,280 Speaker 1: Where can people, go and follow you get more access 676 00:38:20,280 --> 00:38:20,640 Speaker 1: to your work. 677 00:38:21,400 --> 00:38:24,520 Speaker 11: You can find me on x at Libby Emmons, and 678 00:38:24,600 --> 00:38:26,520 Speaker 11: of course please check out all the great work we're 679 00:38:26,560 --> 00:38:29,239 Speaker 11: doing at Humanevents dot com and the Postmillennial dot com. 680 00:38:29,360 --> 00:38:33,760 Speaker 1: Every day Libby Emmons, everyone make sure you are following 681 00:38:33,800 --> 00:38:36,839 Speaker 1: her because she's always going to say something incredibly interesting. 682 00:38:36,719 --> 00:38:39,600 Speaker 7: Even when she's wrong, even when Posto's right. As we know, 683 00:38:39,920 --> 00:38:41,160 Speaker 7: we'll be right back for great. 684 00:38:59,080 --> 00:38:59,319 Speaker 5: Jack. 685 00:39:00,160 --> 00:39:03,279 Speaker 9: Guys, didn't that fantastic book everybody's talking about it? 686 00:39:03,400 --> 00:39:04,520 Speaker 3: Go get it that. 687 00:39:04,680 --> 00:39:06,719 Speaker 8: He's been my friend right from the beginning of this 688 00:39:06,880 --> 00:39:08,160 Speaker 8: whole beautiful. 689 00:39:07,719 --> 00:39:10,239 Speaker 7: Event, and we're going to turn her around and make 690 00:39:10,280 --> 00:39:12,160 Speaker 7: our country way to get him amed. 691 00:39:13,800 --> 00:39:16,759 Speaker 5: At Turning Point USA, what we are doing every single day, 692 00:39:17,080 --> 00:39:19,160 Speaker 5: we are dedicating ourselves. 693 00:39:18,920 --> 00:39:21,640 Speaker 4: At our staff, at our students, at our activist for 694 00:39:21,800 --> 00:39:23,640 Speaker 4: a full Revival of America. 695 00:39:24,239 --> 00:39:27,520 Speaker 12: Get ready to launch into the future of freedom. At 696 00:39:27,600 --> 00:39:31,919 Speaker 12: the largest student event in the nation, SAS is back 697 00:39:32,480 --> 00:39:36,800 Speaker 12: joined thousands of fellow students ready to pioneer a cold 698 00:39:36,880 --> 00:39:41,160 Speaker 12: new era for America at our Student Action Center, and 699 00:39:41,360 --> 00:39:45,320 Speaker 12: we're bringing in the biggest voices in the movement, featuring 700 00:39:45,920 --> 00:39:51,919 Speaker 12: Charlie Kirk Tucker Carlson, Steve Bannett, doctor Ben Carson, Congresswoman 701 00:39:52,080 --> 00:39:58,759 Speaker 12: Anna Paulina, Luna Brandon Tatum, James O'Keefe, Denny Johnson, Jack Pasobic, 702 00:39:59,239 --> 00:40:03,920 Speaker 12: and more from July eleventh through thirteenth in Tampa, Florida 703 00:40:04,320 --> 00:40:08,200 Speaker 12: Register Now and SAS twenty twenty five dot com. 704 00:40:18,040 --> 00:40:20,680 Speaker 8: When I'm working long hours, I'm always listening to Human 705 00:40:20,719 --> 00:40:21,920 Speaker 8: Events with Jack Bosopik. 706 00:40:23,239 --> 00:40:24,879 Speaker 7: All right, Jack re SOBC back live here. 707 00:40:25,200 --> 00:40:30,040 Speaker 1: Human Events Daily, Washington, d C, Real America's Voice Salem 708 00:40:30,239 --> 00:40:34,839 Speaker 1: Radio Network. And I got some questions regarding the Big 709 00:40:35,320 --> 00:40:38,360 Speaker 1: Beautiful Bill, or as I'd like to call it, the 710 00:40:38,440 --> 00:40:44,239 Speaker 1: Big Beautiful Deportation Bill. This should be called, and rightfully 711 00:40:44,560 --> 00:40:48,480 Speaker 1: should be called, the Big Beautiful Deportation Bill, because that's. 712 00:40:48,360 --> 00:40:50,200 Speaker 7: What it's all about, ladies and gentlemen. 713 00:40:50,480 --> 00:40:54,239 Speaker 1: This is about getting the tools, the resources, and the 714 00:40:54,320 --> 00:40:58,960 Speaker 1: capabilities to those in power throughout DHS and other elements 715 00:40:59,000 --> 00:41:01,320 Speaker 1: of the federal government to be able to conduct the 716 00:41:01,400 --> 00:41:05,360 Speaker 1: mass deportations that wand at the ballot box in twenty 717 00:41:05,520 --> 00:41:09,360 Speaker 1: twenty four. And so I understand though that there are 718 00:41:09,400 --> 00:41:11,799 Speaker 1: some folks who say, well, wait a minute, wait a minute, 719 00:41:11,840 --> 00:41:15,399 Speaker 1: what about the debt? Okay, what about entitlement programs. When 720 00:41:15,440 --> 00:41:18,640 Speaker 1: are we going to get some work done on that? 721 00:41:18,800 --> 00:41:20,799 Speaker 1: And let me walk you through this a little bit. Okay, 722 00:41:21,120 --> 00:41:25,040 Speaker 1: it's a tweet that I posted earlier today because I said, 723 00:41:25,080 --> 00:41:28,640 Speaker 1: I don't think you're thinking of these mass deportations, a 724 00:41:28,680 --> 00:41:31,240 Speaker 1: series of tweets that I was posting earlier today thinking 725 00:41:31,480 --> 00:41:33,560 Speaker 1: of them in the proper way. And I want to 726 00:41:33,600 --> 00:41:37,880 Speaker 1: get your mind right on this, because here's what's going on. 727 00:41:38,880 --> 00:41:43,080 Speaker 1: What's going on is you are thinking that deporting people 728 00:41:43,360 --> 00:41:48,360 Speaker 1: isn't related to our federal debt and entitlement crisis because 729 00:41:49,160 --> 00:41:52,680 Speaker 1: you're only looking at the supply side of the equation. 730 00:41:53,320 --> 00:41:56,800 Speaker 1: But if you reduce the demand side of the equation, 731 00:41:57,360 --> 00:42:04,560 Speaker 1: you can reduce the overall expenditure. Mass deportations means fiscal responsibility. 732 00:42:04,920 --> 00:42:07,600 Speaker 1: And if you seem to understand this, because if you 733 00:42:07,840 --> 00:42:12,040 Speaker 1: reduce the amount of people on the entitlement programs, you 734 00:42:12,200 --> 00:42:17,200 Speaker 1: will reduce the spending on the entitlement programs and further 735 00:42:17,520 --> 00:42:20,640 Speaker 1: reduce the debt. And I can go through stats, I 736 00:42:20,760 --> 00:42:24,600 Speaker 1: can go through all day long, the reporting out of 737 00:42:24,719 --> 00:42:28,680 Speaker 1: fair reporting, even back in twenty seventeen, Even back in 738 00:42:28,760 --> 00:42:33,320 Speaker 1: twenty seventeen, fair was putting out reports saying that illegal 739 00:42:33,400 --> 00:42:39,680 Speaker 1: aliens illegal immigration cost Americans over cost on net one hundred. 740 00:42:39,440 --> 00:42:42,399 Speaker 7: And sixteen billion dollars a year. 741 00:42:42,480 --> 00:42:47,160 Speaker 1: And remember that's indirect and direct costs through entitlement and 742 00:42:47,239 --> 00:42:48,040 Speaker 1: welfare programs. 743 00:42:48,080 --> 00:42:48,840 Speaker 7: What do I mean by that? 744 00:42:49,200 --> 00:42:53,280 Speaker 1: While the children of illegal aliens, guess what, they're eligible 745 00:42:53,320 --> 00:42:59,640 Speaker 1: for entitlement programs. They're eligible for SNAP, they're eligible for education, 746 00:43:00,080 --> 00:43:02,719 Speaker 1: eligible for healthcare in many cases, so they get all 747 00:43:02,800 --> 00:43:06,319 Speaker 1: of those things, and then the parents are eligible through 748 00:43:06,640 --> 00:43:09,040 Speaker 1: uh will excuse me, they're not eligible, But the parents 749 00:43:09,120 --> 00:43:12,520 Speaker 1: do access these programs through a variety of means including oh, 750 00:43:12,560 --> 00:43:16,640 Speaker 1: I don't know, fraud in in variety of means, including 751 00:43:16,960 --> 00:43:19,600 Speaker 1: going and getting a driver's license in places where you're 752 00:43:19,640 --> 00:43:22,319 Speaker 1: able to get one where they're not checking your citizenship, 753 00:43:22,480 --> 00:43:25,799 Speaker 1: and then going signing up for public benefits. Forty three 754 00:43:25,960 --> 00:43:30,319 Speaker 1: percent of immigrants, illegal and legal are on some form 755 00:43:30,360 --> 00:43:34,800 Speaker 1: of welfare program forty three percent in this country. And 756 00:43:34,920 --> 00:43:38,120 Speaker 1: so if you reduce the amount of illegal aliens in 757 00:43:38,280 --> 00:43:43,479 Speaker 1: this country, the solution mass deportations. Guess what you will 758 00:43:43,640 --> 00:43:46,640 Speaker 1: reduce the amount of this is like basic one oh 759 00:43:46,760 --> 00:43:49,520 Speaker 1: one level stuff. But it's amazing because I hear all 760 00:43:49,560 --> 00:43:51,759 Speaker 1: these fiscal hawks, and people say, oh, oh oh, you 761 00:43:51,920 --> 00:43:53,440 Speaker 1: just want to fund mass deportations. 762 00:43:53,520 --> 00:43:54,680 Speaker 7: That's what this bill is about. 763 00:43:54,960 --> 00:43:57,239 Speaker 1: That's what the big beautiful deportation bill is about. That's 764 00:43:57,239 --> 00:44:00,000 Speaker 1: all you care is mass deportations. What about fiscal policy? 765 00:44:00,400 --> 00:44:04,120 Speaker 1: What about fiscal conservatism? And I'm just sitting there like guys, 766 00:44:04,239 --> 00:44:09,120 Speaker 1: it's very simple. You can either have social programs or 767 00:44:09,400 --> 00:44:12,880 Speaker 1: an open border, but you can't have both. You can't 768 00:44:13,040 --> 00:44:15,680 Speaker 1: have what we've been running in this country for the 769 00:44:15,760 --> 00:44:17,680 Speaker 1: past and I don't. I'm not just gonna say under 770 00:44:17,680 --> 00:44:21,200 Speaker 1: the Biden autopen administration. No, I'm going to say, going 771 00:44:21,360 --> 00:44:23,680 Speaker 1: all the way back under Bush, all the way back 772 00:44:23,719 --> 00:44:26,920 Speaker 1: even too the nineteen eighties, it's been a free for 773 00:44:27,040 --> 00:44:32,280 Speaker 1: all in this country. Open borders and generous and robust 774 00:44:32,480 --> 00:44:36,719 Speaker 1: social programs are the the death knell of any nation. 775 00:44:37,800 --> 00:44:38,719 Speaker 7: You can't have both. 776 00:44:39,600 --> 00:44:41,680 Speaker 1: So if you invite the entire world and say, come 777 00:44:41,760 --> 00:44:44,040 Speaker 1: take our free stuff, what do you think the world's 778 00:44:44,080 --> 00:44:46,080 Speaker 1: gonna do, boys and girls. And by the way, I 779 00:44:46,160 --> 00:44:50,040 Speaker 1: get it, this is basic economic incentives. Especially if you 780 00:44:50,200 --> 00:44:55,440 Speaker 1: live within within walking distance or caravanning distance of the 781 00:44:55,560 --> 00:44:58,000 Speaker 1: United States. Of course you're gonna do that you're gonna 782 00:44:58,040 --> 00:45:00,640 Speaker 1: come up from Guatemala or any of these places. Why 783 00:45:00,960 --> 00:45:04,200 Speaker 1: because they're giving out free stuff and you got it's 784 00:45:04,239 --> 00:45:06,839 Speaker 1: not to mention these you know, somehow they're they're able 785 00:45:06,880 --> 00:45:09,359 Speaker 1: to make their way from Africa over to the United States. 786 00:45:09,400 --> 00:45:11,239 Speaker 1: Have you ever looked at one of those flights, Those 787 00:45:11,280 --> 00:45:15,000 Speaker 1: aren't Those aren't free. Okay, plane tickets are not exactly 788 00:45:15,080 --> 00:45:18,680 Speaker 1: the cheapest thing on the planet. So they're all coming over. Understand, 789 00:45:18,760 --> 00:45:23,520 Speaker 1: it's very simple. Pass the big beautiful deportation bill, and 790 00:45:23,960 --> 00:45:29,759 Speaker 1: the deportations will reduce the size of the entitlement programs. 791 00:45:30,080 --> 00:45:33,920 Speaker 1: Stop looking only at the supply side and look at 792 00:45:34,040 --> 00:45:38,719 Speaker 1: the demand side. Reduce the users by removing them from 793 00:45:38,880 --> 00:45:39,480 Speaker 1: the country. 794 00:45:40,040 --> 00:45:40,880 Speaker 7: What a concept. 795 00:45:41,320 --> 00:45:44,120 Speaker 1: Ladies and gentlemen, my name is Jack Posobik. You've been 796 00:45:44,200 --> 00:45:47,680 Speaker 1: watching human events daily. Ladies and gentlemen. As always, you 797 00:45:47,760 --> 00:45:49,160 Speaker 1: have my permission to lay shore 798 00:45:52,080 --> 00:46:04,880 Speaker 4: St