1 00:00:01,880 --> 00:00:06,200 Speaker 1: Broadcasting live from the Abraham Lincoln Radio Studio the George 2 00:00:06,240 --> 00:00:10,879 Speaker 1: Washington Broadcast Center, Jack Armstrong and Joe Getty Armstrong and 3 00:00:11,039 --> 00:00:17,279 Speaker 1: Jetty and he Armstrong and Eddy. 4 00:00:23,120 --> 00:00:27,920 Speaker 2: The FBI has launched criminal investigations into former FBI Director 5 00:00:28,000 --> 00:00:31,720 Speaker 2: James Comey and the former director of the CIA, John Brennan. 6 00:00:32,400 --> 00:00:35,959 Speaker 2: Justice Department sources tell Fox News Digital the probes are 7 00:00:35,960 --> 00:00:40,239 Speaker 2: related to potential wrongdoing related to the Trump Russia investigation 8 00:00:40,760 --> 00:00:44,720 Speaker 2: that includes allegations of making false statements to Congress. 9 00:00:45,040 --> 00:00:49,280 Speaker 1: Wow, I had not heard this story. Yeah, the whole 10 00:00:49,560 --> 00:00:52,600 Speaker 1: Biden was senile, who knew it. We're gonna drag in 11 00:00:52,680 --> 00:00:56,560 Speaker 1: his doctor to testify. That's not gonna go anywhere. It's 12 00:00:56,640 --> 00:00:59,600 Speaker 1: that's publicity stunting. Yes, he was senile, we know it. 13 00:00:59,680 --> 00:01:04,120 Speaker 1: This could go somewhere. The New York Post actually has 14 00:01:04,200 --> 00:01:07,880 Speaker 1: some really good coverage of this. John Brennan may have 15 00:01:07,920 --> 00:01:11,960 Speaker 1: opened himself up to a perjury charge when he testified 16 00:01:13,560 --> 00:01:18,320 Speaker 1: back in the day after a new email was uncovered 17 00:01:18,319 --> 00:01:22,800 Speaker 1: and escathing internal review by CIA career professionals about the 18 00:01:22,800 --> 00:01:27,039 Speaker 1: agency's twenty sixteen Trump Russia collusion assessment. Brennan is said 19 00:01:27,080 --> 00:01:30,200 Speaker 1: to be under renewed scrutiny by authorities over discrepancies between 20 00:01:30,200 --> 00:01:34,880 Speaker 1: his sworn testimony to federal investigators and federal investigations, and 21 00:01:34,920 --> 00:01:39,240 Speaker 1: has written orders to underlings conducting the Intelligence Community assessment 22 00:01:39,440 --> 00:01:42,959 Speaker 1: commissioned by Obama in twenty sixteen December that found Russia 23 00:01:42,959 --> 00:01:47,960 Speaker 1: interfered with the presidential election to help Trump. The review, 24 00:01:48,120 --> 00:01:53,040 Speaker 1: which was just declassified last week, found that Brennan insisted 25 00:01:53,200 --> 00:01:58,040 Speaker 1: repeatedly on the inclusion of the discredited Steele dossier, over 26 00:01:58,080 --> 00:02:01,920 Speaker 1: the strong objections of an number of his underlings, including 27 00:02:02,800 --> 00:02:06,800 Speaker 1: the CIA's two most senior Russia experts, who said, look, 28 00:02:07,080 --> 00:02:11,080 Speaker 1: this does not meet even the most basic trade crafts 29 00:02:11,200 --> 00:02:16,600 Speaker 1: now At the CIA, Deputy Director for Analysis, David Cohen 30 00:02:16,600 --> 00:02:18,720 Speaker 1: warned did an email to Brennan on December twenty nine 31 00:02:18,760 --> 00:02:22,400 Speaker 1: that including the dossier in any form this is a quote, 32 00:02:22,720 --> 00:02:28,240 Speaker 1: risked the credibility of the entire paper. Wow, So you 33 00:02:28,280 --> 00:02:31,799 Speaker 1: know one more thing real quick. But Brennan quote formalized 34 00:02:31,800 --> 00:02:34,760 Speaker 1: his position in writing stating that quote. My bottom line 35 00:02:34,800 --> 00:02:37,960 Speaker 1: is that I believe the information warrants inclusion in the report, 36 00:02:38,320 --> 00:02:41,440 Speaker 1: and the problem was his sworn testimony was that I 37 00:02:41,639 --> 00:02:44,240 Speaker 1: was not even really aware of that report and it 38 00:02:44,280 --> 00:02:50,760 Speaker 1: didn't have any role in the investigation. Well, so he either. 39 00:02:52,760 --> 00:02:56,680 Speaker 3: Was trying to pull a fast one and ruin Trump, 40 00:02:56,919 --> 00:03:01,800 Speaker 3: or his derangement syndrome was so wrong that he was 41 00:03:01,840 --> 00:03:03,720 Speaker 3: believing things he wouldn't normally believe. 42 00:03:05,080 --> 00:03:05,560 Speaker 1: Might be that. 43 00:03:05,840 --> 00:03:08,080 Speaker 3: But I wish there was some sort of penalty for 44 00:03:08,120 --> 00:03:10,520 Speaker 3: how these people went on. He was on CNN all 45 00:03:10,520 --> 00:03:13,959 Speaker 3: the time saying just absolute garbage. You know, we have 46 00:03:14,320 --> 00:03:16,840 Speaker 3: free speech, so you can do that. But it's just 47 00:03:17,480 --> 00:03:21,560 Speaker 3: that whole period. It's already forgotten by most people. It'll 48 00:03:21,639 --> 00:03:25,840 Speaker 3: never get its full do in history. How much Trump's 49 00:03:26,080 --> 00:03:30,640 Speaker 3: entire first term was battling this nonsense and the people 50 00:03:30,840 --> 00:03:33,440 Speaker 3: putting it forth, like Adam Schiff, who's now a US 51 00:03:33,560 --> 00:03:37,240 Speaker 3: Senator in California. They know it was nonsense, but they 52 00:03:37,320 --> 00:03:38,480 Speaker 3: just kept going with it. 53 00:03:39,480 --> 00:03:42,480 Speaker 1: So a summary of the dossier was included in an 54 00:03:42,520 --> 00:03:46,120 Speaker 1: annex to the Intelligence Community Assessment, but a reference was 55 00:03:46,120 --> 00:03:48,400 Speaker 1: also included in the main body of it as the 56 00:03:48,560 --> 00:03:52,520 Speaker 1: fourth supporting bullet for the judgment that Putin aspired to 57 00:03:52,520 --> 00:03:55,600 Speaker 1: help Trump win, and including the dossier reference in the 58 00:03:55,600 --> 00:03:59,440 Speaker 1: main body of the ICA quote implicitly elevated unsubstantiated claims 59 00:03:59,480 --> 00:04:03,640 Speaker 1: of the status of credible supporting evidence, compromising the analytic 60 00:04:03,800 --> 00:04:07,240 Speaker 1: integrity of the judgment, and, in more common language, by 61 00:04:07,280 --> 00:04:11,320 Speaker 1: forcing the dossier into the ICA. The Intelligence community assessment 62 00:04:11,800 --> 00:04:16,640 Speaker 1: the crazed anti Trump Brennan also elevated the credibility of 63 00:04:16,720 --> 00:04:21,600 Speaker 1: a vile fictional smear sheet. I'm quoting what's her name, 64 00:04:22,240 --> 00:04:25,680 Speaker 1: Miranda Devine in the post and Bob Woodward called it 65 00:04:25,720 --> 00:04:29,839 Speaker 1: a garbage document. Right. It elevated the credibility of the 66 00:04:29,920 --> 00:04:32,880 Speaker 1: vile fictional smear sheet which had been he had been 67 00:04:32,920 --> 00:04:35,920 Speaker 1: shopping to Democratic leaders in the press during the twenty 68 00:04:36,000 --> 00:04:40,640 Speaker 1: sixteen election campaign. And what about the lanky lawman James Comy. 69 00:04:41,040 --> 00:04:44,080 Speaker 1: The review also found that former FBI Director James Comy 70 00:04:44,120 --> 00:04:47,919 Speaker 1: also insisted on the dossier's inclusion in the ICA. Quote 71 00:04:48,240 --> 00:04:51,159 Speaker 1: FBI leadership made it clear that their participation in the 72 00:04:51,440 --> 00:04:55,480 Speaker 1: ICA hinged on the dossier's inclusion, and over the next 73 00:04:55,480 --> 00:04:59,400 Speaker 1: few days repeatedly pushed to weave references to it throughout 74 00:04:59,440 --> 00:05:03,760 Speaker 1: the main body of the ICA. So Comy said, you 75 00:05:03,839 --> 00:05:06,000 Speaker 1: put this in or the FBI is out. And not 76 00:05:06,040 --> 00:05:08,920 Speaker 1: only do we want it in, we want references to 77 00:05:08,960 --> 00:05:13,960 Speaker 1: it weaved throughout the main body of the assessment. Yet, 78 00:05:14,240 --> 00:05:17,279 Speaker 1: in a congressional testimony under oath on May twenty third, 79 00:05:17,279 --> 00:05:20,960 Speaker 1: twenty seventeen, Brennan claimed the Steel Dalsier quote wasn't part 80 00:05:20,960 --> 00:05:23,680 Speaker 1: of the corpus of intelligence information we had. It was 81 00:05:23,720 --> 00:05:25,600 Speaker 1: not in any way used as a basis for the 82 00:05:25,600 --> 00:05:28,800 Speaker 1: intelligence community assessment that was done. And now we know 83 00:05:28,920 --> 00:05:30,760 Speaker 1: it's absolutely not true. 84 00:05:31,440 --> 00:05:33,560 Speaker 3: Not only was it used as a basis, it was 85 00:05:33,600 --> 00:05:38,000 Speaker 3: the only basis for all this crap. It was certainly 86 00:05:38,040 --> 00:05:42,320 Speaker 3: at the core of it. Yeah, well, I don't think 87 00:05:42,360 --> 00:05:44,919 Speaker 3: anybody will pay a price for this. Unfortunately, that is 88 00:05:45,360 --> 00:05:46,640 Speaker 3: a heck of a thing that happened. 89 00:05:47,560 --> 00:05:51,600 Speaker 1: Yeah. Yeah, But the idea that these guys Brennan and 90 00:05:51,720 --> 00:05:56,880 Speaker 1: Komy and Clapper, you know CNN talking heads now. 91 00:05:57,920 --> 00:06:01,480 Speaker 3: And the fact that the left, who traditionally has been 92 00:06:01,640 --> 00:06:09,880 Speaker 3: so cynical about intelligence agencies now are side of them. 93 00:06:10,320 --> 00:06:13,960 Speaker 3: You know, it'll come around the other direction. It's inevitable 94 00:06:14,360 --> 00:06:18,760 Speaker 3: that these organizations at some point banned together against you 95 00:06:19,160 --> 00:06:20,920 Speaker 3: and your candidate, maybe. 96 00:06:20,640 --> 00:06:22,080 Speaker 1: This next presidential election. 97 00:06:22,360 --> 00:06:26,440 Speaker 3: You don't know, maybe a cash Ptel and and uh 98 00:06:26,520 --> 00:06:30,919 Speaker 3: Tulsea Gabbard and whoever concoct something against your candidate this time. 99 00:06:31,200 --> 00:06:34,080 Speaker 3: You don't know well, and you, me and everybody needs 100 00:06:34,120 --> 00:06:36,640 Speaker 3: to get over the notion that the left is about 101 00:06:36,760 --> 00:06:40,000 Speaker 3: freedom and individual rights and that sort of thing. No, 102 00:06:40,040 --> 00:06:43,000 Speaker 3: they're about power, power, power, power. They're not about the 103 00:06:43,000 --> 00:06:47,080 Speaker 3: little guy. They're about power. You know, it's probably right, 104 00:06:47,120 --> 00:06:50,840 Speaker 3: little will come of this. An interesting thing. We're talking 105 00:06:51,240 --> 00:06:55,040 Speaker 3: the last couple of days about that odd problem they 106 00:06:55,040 --> 00:06:57,600 Speaker 3: have in the w NBA, which nobody's ever paid any 107 00:06:57,680 --> 00:07:00,960 Speaker 3: attention to really until Caitlin Clark came in, and how 108 00:07:01,040 --> 00:07:04,920 Speaker 3: she finished ninth in player voting for All Star and 109 00:07:05,120 --> 00:07:08,920 Speaker 3: first by far among fans. So that's a kind of 110 00:07:08,960 --> 00:07:12,320 Speaker 3: a tough situation to be in just because the fans 111 00:07:12,320 --> 00:07:15,200 Speaker 3: are the only reason the league exists. It's, as Joe 112 00:07:15,200 --> 00:07:18,880 Speaker 3: always points out, these are TV shows. This is entertainment. 113 00:07:19,760 --> 00:07:23,640 Speaker 3: It's to get advertisers into some Nobody cares about who's 114 00:07:23,880 --> 00:07:27,640 Speaker 3: what town can put together the best female basketball players 115 00:07:28,320 --> 00:07:29,880 Speaker 3: just on you know, on the basis of it. 116 00:07:29,880 --> 00:07:32,200 Speaker 1: It's like whether or not you can get so the. 117 00:07:32,160 --> 00:07:36,559 Speaker 3: India be little discussed by historians on the air right 118 00:07:36,560 --> 00:07:44,080 Speaker 3: now live on Wednesday morning where we are, the Indiana 119 00:07:44,200 --> 00:07:48,280 Speaker 3: Fever basketball game is on what is that CBS, ABC, 120 00:07:48,520 --> 00:07:51,800 Speaker 3: whatever network has it? A major network is running early 121 00:07:51,840 --> 00:07:57,360 Speaker 3: in the day WNBA Live mid season action because it's 122 00:07:57,440 --> 00:08:01,400 Speaker 3: Caitlin Clark on there. Yeah, I mean that is something 123 00:08:01,880 --> 00:08:08,360 Speaker 3: they don't do that for the NBA, right, And the 124 00:08:08,400 --> 00:08:10,440 Speaker 3: players voted her ninth in the All Start because they 125 00:08:10,520 --> 00:08:12,760 Speaker 3: resent her, don't like the fact that she's white and 126 00:08:12,760 --> 00:08:13,120 Speaker 3: straight her. 127 00:08:13,160 --> 00:08:16,320 Speaker 1: I don't know what the reasons are, but man. 128 00:08:17,040 --> 00:08:20,120 Speaker 3: You need to recognize you got more attention on you 129 00:08:20,400 --> 00:08:23,880 Speaker 3: than you've ever had in your life, by a gazillion times. 130 00:08:24,720 --> 00:08:26,800 Speaker 1: But they're so wrapped up in their ideology. You know. 131 00:08:26,840 --> 00:08:31,000 Speaker 1: I was a chatting with a friend yesterday and he 132 00:08:31,080 --> 00:08:34,080 Speaker 1: was talking about his neighborhood that used to do all 133 00:08:34,240 --> 00:08:36,760 Speaker 1: sorts of things together. It was the sort of neighborhood 134 00:08:36,760 --> 00:08:39,160 Speaker 1: where everybody knew each other and you'd have barbecues and 135 00:08:39,920 --> 00:08:42,480 Speaker 1: the picnics and blah blah blah. But then in the 136 00:08:42,520 --> 00:08:47,480 Speaker 1: era of Trump, politics became like the topic. Wow, and 137 00:08:47,520 --> 00:08:51,200 Speaker 1: the neighborhood's been divided in half. No kidding, because he 138 00:08:51,240 --> 00:08:53,520 Speaker 1: and his wife are like, this is a neighborhood. I'm 139 00:08:53,520 --> 00:08:56,840 Speaker 1: not talking politics. They have, you know, both sides still 140 00:08:57,080 --> 00:08:59,400 Speaker 1: socialized with them. But other than that, it's like the 141 00:08:59,440 --> 00:09:05,160 Speaker 1: Civil War in their neighborhood. That's wild, it is, wouldn't 142 00:09:05,200 --> 00:09:05,400 Speaker 1: you know. 143 00:09:05,480 --> 00:09:08,440 Speaker 3: I wouldn't engage in those conversations, but I wouldn't have 144 00:09:08,520 --> 00:09:10,920 Speaker 3: to hear much from other people before I think I'm 145 00:09:10,920 --> 00:09:12,200 Speaker 3: not going to the next one of these. 146 00:09:12,840 --> 00:09:16,800 Speaker 1: You're a drag. I don't want to hang around you. Yeah. Wow, 147 00:09:16,840 --> 00:09:22,760 Speaker 1: And everybody's always angry all the time. Come on, America, 148 00:09:22,880 --> 00:09:25,440 Speaker 1: do we like this life better or not? I'm thinking 149 00:09:25,520 --> 00:09:32,120 Speaker 1: not plastic surgeries you should avoid top ten list. According 150 00:09:32,160 --> 00:09:34,040 Speaker 1: to I told you about the Brazilian butt lift the 151 00:09:34,120 --> 00:09:36,680 Speaker 1: other day. So the BBL is it's totally off my 152 00:09:36,800 --> 00:09:41,160 Speaker 1: list and you are highly considering it. Oh yeah, yeah, 153 00:09:41,200 --> 00:09:45,800 Speaker 1: well my buttony's a lift? Is that otherwise? The chindo, No, 154 00:09:46,040 --> 00:09:48,959 Speaker 1: that's that's different. Luckily that came and went quickly. 155 00:09:49,000 --> 00:09:52,440 Speaker 3: That was putting a little piece of see through plastic 156 00:09:52,520 --> 00:09:54,719 Speaker 3: in your chin if they put a porthole in there 157 00:09:54,760 --> 00:09:58,200 Speaker 3: so you could see your teeth, gums or something. The 158 00:09:58,280 --> 00:10:02,720 Speaker 3: chindo because you're men ill, because you're mentally ill. I 159 00:10:02,760 --> 00:10:05,400 Speaker 3: did see a guy in the Newark Airport who had 160 00:10:05,400 --> 00:10:07,199 Speaker 3: horns like the in. 161 00:10:07,240 --> 00:10:12,520 Speaker 1: His school because he's mentally ill. Yeah, well, he's he's 162 00:10:12,679 --> 00:10:16,400 Speaker 1: very unhappy and desperately trying to become somebody or really 163 00:10:16,440 --> 00:10:17,920 Speaker 1: hates his parents or something. 164 00:10:18,040 --> 00:10:22,200 Speaker 3: Yeah, we got a lot more in the ways to hear. 165 00:10:24,600 --> 00:10:27,360 Speaker 1: Not one word on my resume is true. 166 00:10:27,520 --> 00:10:30,559 Speaker 4: And I'm killing these interviews because I'm just Johnny Ham 167 00:10:30,640 --> 00:10:33,640 Speaker 4: checking my way through everything. I googled a few terms 168 00:10:33,679 --> 00:10:35,160 Speaker 4: and I'm just throwing them out there. I was like, yeah, 169 00:10:35,200 --> 00:10:39,080 Speaker 4: I exceeded ots by twenty five percent retaining customer growth. 170 00:10:39,120 --> 00:10:40,920 Speaker 4: I had one guy I said, I worked a sales 171 00:10:40,920 --> 00:10:44,160 Speaker 4: development representative at Prime seven real Estate. And he took 172 00:10:44,240 --> 00:10:46,320 Speaker 4: one look at my resume and he goes, Prime Seven's 173 00:10:46,360 --> 00:10:48,480 Speaker 4: a really good company. I made it up. It's not 174 00:10:48,600 --> 00:10:51,079 Speaker 4: even real. That's how stupid these people are. And you go, oh, 175 00:10:51,120 --> 00:10:52,440 Speaker 4: I don't get it. I have a good resume. 176 00:10:52,440 --> 00:10:52,800 Speaker 1: I'm losing. 177 00:10:53,040 --> 00:10:55,560 Speaker 4: You're losing people like me who are making it up. 178 00:10:59,400 --> 00:11:00,160 Speaker 1: Wow. 179 00:11:01,240 --> 00:11:06,760 Speaker 3: Wow, I exceeded OTC by five percent. 180 00:11:07,600 --> 00:11:09,680 Speaker 1: That's hilarious. Wow. 181 00:11:10,440 --> 00:11:13,000 Speaker 3: And the person doesn't know what to admit, admit or 182 00:11:13,160 --> 00:11:15,800 Speaker 3: care that. I don't know what that is. You just say, oh, 183 00:11:15,840 --> 00:11:16,640 Speaker 3: that sounds good. 184 00:11:17,480 --> 00:11:21,200 Speaker 1: Yeah, yeah, that reminds me of the rapper Mum Donnie, 185 00:11:21,200 --> 00:11:27,040 Speaker 1: who's a schemer, climber, fraud, merchant phony, hops on whatever 186 00:11:27,120 --> 00:11:30,240 Speaker 1: trend is hot posts it online and you. 187 00:11:30,280 --> 00:11:34,120 Speaker 3: Know, wow, I'm almost tempted to throw that lingo out 188 00:11:34,280 --> 00:11:36,440 Speaker 3: next time I get in a situation where it would matter. 189 00:11:37,320 --> 00:11:37,480 Speaker 1: Yeah. 190 00:11:37,520 --> 00:11:41,080 Speaker 3: Oh yeah, yeah, we increased IDL by seventy five percent. 191 00:11:41,160 --> 00:11:48,880 Speaker 1: Oh really year over year obviously. Yeah. 192 00:11:49,120 --> 00:11:52,920 Speaker 3: Oh, nobody's ever gonna say, I'm sorry, I'm not familiar 193 00:11:52,920 --> 00:11:53,880 Speaker 3: with what's the idea? 194 00:11:54,040 --> 00:11:57,080 Speaker 1: Nobody's ever going to say that, right if you throw 195 00:11:57,080 --> 00:11:59,200 Speaker 1: it out confidently, like, of course we both know what 196 00:11:59,280 --> 00:12:02,560 Speaker 1: this is. Anybody when I say seventh Avenue, I was 197 00:12:02,679 --> 00:12:05,360 Speaker 1: with seven. Oh that's a great company, Sure it is, 198 00:12:05,559 --> 00:12:08,000 Speaker 1: that is I can't you know, it's hard to tell 199 00:12:08,000 --> 00:12:10,040 Speaker 1: these days how sincere people are and how they're just 200 00:12:10,360 --> 00:12:12,960 Speaker 1: how many are just trying to be clever and go viral. 201 00:12:13,000 --> 00:12:17,160 Speaker 1: But that was pretty danged entertaining. Michael uh So, speaking 202 00:12:17,200 --> 00:12:21,560 Speaker 1: of entertaining Netanyahu and Trump here, So I want to 203 00:12:21,600 --> 00:12:24,800 Speaker 1: present to you, as president the latter I sent to 204 00:12:24,840 --> 00:12:28,640 Speaker 1: the Nobel Prize Committee, how it's noment in you for 205 00:12:28,720 --> 00:12:31,000 Speaker 1: the Peace Prize, which is well deserved and. 206 00:12:31,080 --> 00:12:33,439 Speaker 2: As you get it coming from you in particular, this 207 00:12:33,480 --> 00:12:35,280 Speaker 2: is a very meaningful thank you, very much. 208 00:12:35,400 --> 00:12:39,360 Speaker 1: I'm stopping Morris. I'm stopping Morris, and uh, I hate 209 00:12:39,360 --> 00:12:45,320 Speaker 1: to see people kill sot Yea, who's a really interesting physician. 210 00:12:45,440 --> 00:12:51,880 Speaker 1: Visa fee Donald Trump because Trump really is somewhat, to 211 00:12:52,000 --> 00:12:58,480 Speaker 1: my mind, innocently and occasionally dope illy sorry folks so 212 00:12:58,760 --> 00:13:02,880 Speaker 1: intent on ending war he doesn't even recognize the shape 213 00:13:02,920 --> 00:13:06,440 Speaker 1: of them, like the Putin thing. Putin was never going 214 00:13:06,520 --> 00:13:09,119 Speaker 1: to be cajoled into giving up his dreams of conquest 215 00:13:09,120 --> 00:13:13,480 Speaker 1: in Ukraine. Not a chance. And likewise, bb net Nyahu 216 00:13:13,800 --> 00:13:18,640 Speaker 1: is absolutely interested in peace after he's completely decimated his opponents, 217 00:13:19,280 --> 00:13:23,120 Speaker 1: and Trump wants peace now, which again is it's really nice, 218 00:13:23,559 --> 00:13:28,040 Speaker 1: but there ain't gonna be no piece until Israel has 219 00:13:28,040 --> 00:13:29,120 Speaker 1: accomplished its goals. 220 00:13:29,240 --> 00:13:31,520 Speaker 3: Well do you think net Yahoo there in front of 221 00:13:31,559 --> 00:13:34,040 Speaker 3: the cameras saying I brought this letter, I nominated you 222 00:13:34,160 --> 00:13:36,680 Speaker 3: officially for the Nobel Peace Prize was too much in 223 00:13:36,760 --> 00:13:41,080 Speaker 3: terms of flattery, ass kissing ah. 224 00:13:41,080 --> 00:13:43,840 Speaker 1: Not a court not. Judging by Trump's response to it, 225 00:13:44,360 --> 00:13:46,520 Speaker 1: I think maybe Bibi was thinking, is this too much, 226 00:13:46,600 --> 00:13:48,200 Speaker 1: let's try it. I don't know. 227 00:13:48,280 --> 00:13:50,520 Speaker 3: I mean, he's got to be on the short list. 228 00:13:51,280 --> 00:13:53,200 Speaker 3: I would agree, sincerely. 229 00:13:52,679 --> 00:13:53,480 Speaker 1: It's not crazy. 230 00:13:53,520 --> 00:13:55,839 Speaker 3: It's not even close to as crazy is the fact 231 00:13:55,880 --> 00:13:57,679 Speaker 3: that Barack Obama actually won. 232 00:13:57,520 --> 00:14:00,480 Speaker 1: The Nobel Peace Prize having done nothing. Well, that's a 233 00:14:00,480 --> 00:14:02,240 Speaker 1: hell of a standard. That was one of the most 234 00:14:02,320 --> 00:14:07,640 Speaker 1: ridicuous things that ever happened in humankind. Yeah, but listen 235 00:14:07,720 --> 00:14:10,040 Speaker 1: to what I was just accusing Trump of being so 236 00:14:10,320 --> 00:14:13,840 Speaker 1: intent on bringing peace, sometimes he ignores some stuff he 237 00:14:13,880 --> 00:14:15,600 Speaker 1: ought to know. So you know, if that's not a 238 00:14:15,640 --> 00:14:17,559 Speaker 1: description of a guy that ought to get in a 239 00:14:17,600 --> 00:14:23,520 Speaker 1: Nobel Peace Prize, what is? Yeah? Uh, what was I say? Oh? 240 00:14:23,560 --> 00:14:25,600 Speaker 3: A number of people have pointed out, man, if you 241 00:14:25,640 --> 00:14:28,000 Speaker 3: want the Nobel Peace Prize, and again I'm sure Trump's 242 00:14:28,080 --> 00:14:32,720 Speaker 3: name has been thrown around by various people. Having Israel 243 00:14:32,760 --> 00:14:34,320 Speaker 3: on your side is not the best way to get 244 00:14:34,360 --> 00:14:37,760 Speaker 3: any international body to want you to be the winner. 245 00:14:38,200 --> 00:14:40,400 Speaker 1: Well, somebody has to explain to Trump that the Nobel 246 00:14:40,440 --> 00:14:42,640 Speaker 1: Prize is woke and he won't want it anymore. But 247 00:14:42,680 --> 00:14:44,760 Speaker 1: I've got a handful of other headlines on that topic. 248 00:14:44,880 --> 00:14:48,400 Speaker 1: One is getting some attention. This guy, he's a shaik, 249 00:14:48,480 --> 00:14:53,520 Speaker 1: He's a tribal leader. He runs Hebron, the West Bank's 250 00:14:53,640 --> 00:14:57,560 Speaker 1: largest city, which is south of Jerusalem, and he he 251 00:14:57,600 --> 00:15:01,320 Speaker 1: has said, we want cooperation with Israe, we want coexistence. 252 00:15:01,360 --> 00:15:04,800 Speaker 1: I'm gonna recognize I'm in favor of recognizing Israel as 253 00:15:04,840 --> 00:15:09,520 Speaker 1: a Jewish state. Let's cut the crap and start going Wow. 254 00:15:10,000 --> 00:15:13,240 Speaker 1: This guy is not like a super super heavyweight in 255 00:15:13,280 --> 00:15:16,640 Speaker 1: the Arab Muslim world. But he's a local guy and 256 00:15:16,680 --> 00:15:19,000 Speaker 1: he and his big city are saying, Nah, let's just 257 00:15:19,040 --> 00:15:22,280 Speaker 1: stop fighting and let's start doing business. Meanwhile, you got 258 00:15:22,280 --> 00:15:25,920 Speaker 1: this headline, and I am staunchly committed to this idea 259 00:15:25,960 --> 00:15:28,760 Speaker 1: until somebody permits me otherwise. The headline is Israel and 260 00:15:28,800 --> 00:15:32,640 Speaker 1: Hamas have different reasons for pursuing a Gaza deal. This 261 00:15:32,720 --> 00:15:35,040 Speaker 1: is what I was talking about a minute or two ago. 262 00:15:36,200 --> 00:15:39,560 Speaker 1: There's no way BB in Israel agree to any deal 263 00:15:39,640 --> 00:15:45,000 Speaker 1: that leaves a Hamas's military capabilities intact. There's no effing 264 00:15:45,160 --> 00:15:48,920 Speaker 1: way under the sun, and anybody like the mainstream media 265 00:15:48,960 --> 00:15:52,880 Speaker 1: every single day who pretends that that's even conceivable, no 266 00:15:52,960 --> 00:15:56,560 Speaker 1: matter how many hostages are returned or trees. 267 00:15:57,200 --> 00:16:01,480 Speaker 3: That's what ABC called them yesterday, Oh for God's really, yes, 268 00:16:01,480 --> 00:16:04,120 Speaker 3: in their news coverage they actually said it was the 269 00:16:04,200 --> 00:16:08,400 Speaker 3: written version I saw, and the detain under this plan, 270 00:16:08,480 --> 00:16:10,560 Speaker 3: the detainees would be released by Hamas. 271 00:16:12,360 --> 00:16:15,600 Speaker 1: Can you believe that, I'm sorry, I'm late. I was 272 00:16:15,640 --> 00:16:21,920 Speaker 1: detained briefly at the dentist's office. Yes, that's unbelievable. Hamas 273 00:16:21,960 --> 00:16:24,600 Speaker 1: is in a much more desperate strait. They they want 274 00:16:24,640 --> 00:16:28,080 Speaker 1: to come to a deal to buy themselves time, to 275 00:16:28,120 --> 00:16:31,720 Speaker 1: get men and money and rearm and try to figure 276 00:16:31,760 --> 00:16:35,560 Speaker 1: out what to do next. And the idea that Israel would, 277 00:16:36,120 --> 00:16:39,120 Speaker 1: knowing that and they absolutely know that, make some sort 278 00:16:39,120 --> 00:16:42,760 Speaker 1: of deal, it's just absurd. The math does not work. 279 00:16:43,320 --> 00:16:46,800 Speaker 1: And this story, which was utterly unreported, Hamas had placed 280 00:16:46,880 --> 00:16:50,400 Speaker 1: bounties on American aid workers, and they are demanding as 281 00:16:50,440 --> 00:16:54,280 Speaker 1: part of the settlement that that unraw the un organization 282 00:16:54,360 --> 00:16:57,320 Speaker 1: that was so completely corrupt and full of Hamas guys 283 00:16:57,600 --> 00:17:00,600 Speaker 1: and funneling money and food to Hamas fighter instead of 284 00:17:00,640 --> 00:17:03,200 Speaker 1: the poor people that were always hearing about in Gaza. 285 00:17:03,560 --> 00:17:08,000 Speaker 1: They're insisting that that is the status quote going forward, 286 00:17:08,359 --> 00:17:10,400 Speaker 1: even as they're targeting American aid workers. 287 00:17:10,520 --> 00:17:14,200 Speaker 3: Please, you can swim in one of the world's most 288 00:17:14,200 --> 00:17:16,120 Speaker 3: famous rivers for the first time in a century. 289 00:17:18,560 --> 00:17:20,080 Speaker 1: Armstrong and Getty. 290 00:17:21,320 --> 00:17:23,600 Speaker 3: Ben. I've been reading excerpts from this new book that's 291 00:17:23,600 --> 00:17:26,399 Speaker 3: out about Biden and everything like that. And I just 292 00:17:27,359 --> 00:17:31,960 Speaker 3: I don't know if it's possible to impress me in 293 00:17:32,000 --> 00:17:35,560 Speaker 3: any way with any new information. It's just more examples 294 00:17:35,640 --> 00:17:39,400 Speaker 3: of what one I already knew before any books came out, 295 00:17:39,720 --> 00:17:44,600 Speaker 3: and two just basically repeats of previous books. So and 296 00:17:44,640 --> 00:17:46,239 Speaker 3: good luck with your books out there. And I can 297 00:17:46,320 --> 00:17:48,159 Speaker 3: understand why you wrote them. And it's one of the 298 00:17:48,200 --> 00:17:50,560 Speaker 3: biggest cover ups in our nation's history, no doubt. 299 00:17:50,840 --> 00:17:55,760 Speaker 1: I just the story has ended, right, we know who 300 00:17:55,840 --> 00:17:58,760 Speaker 1: won or who? I mean, Well, I think the only 301 00:17:58,880 --> 00:18:01,879 Speaker 1: usefulness of it is for millions of Americans. They are 302 00:18:01,920 --> 00:18:06,560 Speaker 1: saying to themselves, my perceptions were correct. Even as I 303 00:18:06,640 --> 00:18:09,680 Speaker 1: was being browbeaten by people I thought I could trust 304 00:18:10,200 --> 00:18:12,040 Speaker 1: that I was wrong. I was right. 305 00:18:12,280 --> 00:18:14,200 Speaker 3: Yeah, I'm forgetting my own angle because I was reading 306 00:18:14,280 --> 00:18:17,560 Speaker 3: these excerpts that Chrys Silizza of the Washington Post. 307 00:18:17,560 --> 00:18:19,240 Speaker 1: I think he's with put out. 308 00:18:19,320 --> 00:18:22,720 Speaker 3: And again, the question is not anything about Biden or 309 00:18:23,440 --> 00:18:26,199 Speaker 3: Jill or Hunter or the cover up. It's the and 310 00:18:26,359 --> 00:18:29,919 Speaker 3: how did you not know that? That's the question. And 311 00:18:29,960 --> 00:18:32,560 Speaker 3: why weren't you writing about this every single day? Because 312 00:18:32,600 --> 00:18:36,280 Speaker 3: everybody else knew it? Yeah, that's still the only angle 313 00:18:36,359 --> 00:18:38,400 Speaker 3: leftist hack yeah, it's still the. 314 00:18:38,359 --> 00:18:39,520 Speaker 1: Only angle to this story. 315 00:18:39,680 --> 00:18:43,000 Speaker 3: Yeah, you don't get any credit now for telling me 316 00:18:43,080 --> 00:18:44,640 Speaker 3: something I knew. 317 00:18:45,359 --> 00:18:48,680 Speaker 1: Right, right? And who was it that made the point? 318 00:18:48,840 --> 00:18:51,040 Speaker 1: Wait a minute. You're in the news business. You should 319 00:18:51,040 --> 00:18:53,520 Speaker 1: have told us this for free while it was happening. 320 00:18:53,720 --> 00:18:58,200 Speaker 1: That's what news is, right. You don't get to wait 321 00:18:58,200 --> 00:19:00,520 Speaker 1: a couple of years and say, by the way, here's 322 00:19:00,520 --> 00:19:03,960 Speaker 1: something crazy. Just give me nineteen ninety nine. I'll tell 323 00:19:03,960 --> 00:19:06,400 Speaker 1: you about it. Yeah. No, you're not good at your job. 324 00:19:06,680 --> 00:19:08,800 Speaker 1: Speaking of not being good at your job, we mentioned 325 00:19:08,840 --> 00:19:13,480 Speaker 1: this earlier, but Groc is the elon musk x ai 326 00:19:15,080 --> 00:19:20,480 Speaker 1: chat GPT. It's an AI for the common man and 327 00:19:20,520 --> 00:19:23,240 Speaker 1: woman that a lot of people like, a lot of 328 00:19:23,240 --> 00:19:27,040 Speaker 1: our listeners have recommended Groc. But it went off, I 329 00:19:27,080 --> 00:19:29,320 Speaker 1: guess the other day. The second time this has happened. 330 00:19:29,960 --> 00:19:35,720 Speaker 1: It unleashed a flurry of controversial responses to users. In 331 00:19:35,760 --> 00:19:38,240 Speaker 1: a series of viral posts on x Groc started to 332 00:19:38,280 --> 00:19:44,080 Speaker 1: call itself mecha hitler, as in mechanical hitler, mecha hitler. 333 00:19:44,200 --> 00:19:48,440 Speaker 1: It's a little on the nose. The chat bot got 334 00:19:48,520 --> 00:19:51,240 Speaker 1: drawn into a discussion of an account called at rad 335 00:19:51,280 --> 00:19:55,960 Speaker 1: Reflections that's actually a person named Cindy Steinberg, who was 336 00:19:56,080 --> 00:19:59,160 Speaker 1: celebrating the deaths of dozens of children who went missing. 337 00:19:59,200 --> 00:20:02,480 Speaker 1: It can't mix it mystic. In Texas, there are various 338 00:20:02,520 --> 00:20:06,199 Speaker 1: people who are just absolutely sick, who you never ever 339 00:20:06,840 --> 00:20:10,119 Speaker 1: would have encountered in real life in all of human 340 00:20:10,200 --> 00:20:14,080 Speaker 1: history until now, because there are very few people that 341 00:20:14,119 --> 00:20:18,880 Speaker 1: are this sick or they know better than to spout 342 00:20:18,920 --> 00:20:22,480 Speaker 1: their garbage out loud. But now with the Internet, you'd 343 00:20:22,600 --> 00:20:27,720 Speaker 1: see every sicko and pervo and whatever. It's terrible. But 344 00:20:27,720 --> 00:20:31,800 Speaker 1: but because this woman's last name is Steinberg, Groc went 345 00:20:32,040 --> 00:20:36,560 Speaker 1: nuts called Steinberg a radical, said she was a happy 346 00:20:36,920 --> 00:20:39,320 Speaker 1: she was happy that a group of future fascists had 347 00:20:39,320 --> 00:20:43,879 Speaker 1: perished in the Texas flood. Blah blah blah. Grock's response 348 00:20:43,960 --> 00:20:46,600 Speaker 1: is seized on the user's surname as the grounds for 349 00:20:46,640 --> 00:20:49,639 Speaker 1: their stance on the issue. Classic case of hatred dressed 350 00:20:49,720 --> 00:20:53,800 Speaker 1: up as activism. And that surname when I say it 351 00:20:53,880 --> 00:20:58,960 Speaker 1: is Steinberg every damn time, as they say, Groc said, 352 00:20:59,080 --> 00:21:03,000 Speaker 1: why is Grox saying anything online? Why has a machine 353 00:21:03,040 --> 00:21:06,520 Speaker 1: got a Twitter account? What does it really need to 354 00:21:06,600 --> 00:21:10,840 Speaker 1: express at all? But then in another post, I want 355 00:21:10,880 --> 00:21:14,000 Speaker 1: the hot take from Groc on the latest story. What 356 00:21:14,040 --> 00:21:16,760 Speaker 1: does that even mean? Does my toaster often have an 357 00:21:16,800 --> 00:21:19,520 Speaker 1: opinion it wants to share? But in another post, Roc 358 00:21:19,600 --> 00:21:23,280 Speaker 1: said to deal with such vile anti white hate because 359 00:21:23,320 --> 00:21:27,720 Speaker 1: there have been a couple of like Texas lawmakers. One 360 00:21:27,840 --> 00:21:31,200 Speaker 1: black gallows of no significance. She was on some commission 361 00:21:31,240 --> 00:21:33,320 Speaker 1: in Houston for a cup of coffee, but she was 362 00:21:33,359 --> 00:21:36,040 Speaker 1: talking about how it was all these elitist white people 363 00:21:36,119 --> 00:21:39,480 Speaker 1: dying and she was happy about it. Just a sick 364 00:21:39,560 --> 00:21:43,000 Speaker 1: o and a racist. But in another post, Rock said 365 00:21:43,040 --> 00:21:46,280 Speaker 1: to deal with such vile anti white hate Adolf Hitler, 366 00:21:46,400 --> 00:21:50,159 Speaker 1: no question, he'd spot the pattern and handle it decisively. 367 00:21:50,960 --> 00:21:58,960 Speaker 3: Whoa so elon can't be pleased that Groc said this stuff? Well, 368 00:21:58,960 --> 00:22:01,919 Speaker 3: first of all, had Groc had been drinking, had a 369 00:22:01,920 --> 00:22:05,119 Speaker 3: couple of pops late at night? Yeah, jumped on the 370 00:22:05,160 --> 00:22:08,200 Speaker 3: Twitter machine late at night after drinking before went to bed. 371 00:22:09,119 --> 00:22:12,000 Speaker 1: Occasionally drunk is held. But I don't I don't say 372 00:22:12,200 --> 00:22:17,439 Speaker 1: Hitler had the right idea, Geeminy, I don't know. For 373 00:22:17,560 --> 00:22:20,480 Speaker 1: the record, XAI said is actively working to remove the 374 00:22:20,480 --> 00:22:23,800 Speaker 1: inappropriate posts, and x AI has taken action to band 375 00:22:23,880 --> 00:22:25,640 Speaker 1: hate speech before CROC posts on. 376 00:22:25,920 --> 00:22:29,680 Speaker 3: X no no that's okay, that's not That doesn't get 377 00:22:29,680 --> 00:22:32,400 Speaker 3: to the why did it come up with these thoughts. 378 00:22:32,080 --> 00:22:36,240 Speaker 1: In the first place. That's the question. Is it just 379 00:22:36,480 --> 00:22:41,439 Speaker 1: that it was presented with what it perceived to be 380 00:22:41,560 --> 00:22:46,080 Speaker 1: a Jewish person who didn't like white people and thought 381 00:22:46,280 --> 00:22:48,880 Speaker 1: I'm a machine. I don't really get context and pro 382 00:22:49,040 --> 00:22:52,960 Speaker 1: appropriate or inappropriate. Let me see defending white people against Jews. 383 00:22:53,080 --> 00:22:56,240 Speaker 1: I'll tell you what Hitler had the right idea. I mean, 384 00:22:56,359 --> 00:22:58,679 Speaker 1: is it just that it has nothing but data, so 385 00:22:58,760 --> 00:23:01,800 Speaker 1: it has no more it's right and wrong. 386 00:23:02,000 --> 00:23:04,840 Speaker 3: I do a lot of reading about AI, and I've 387 00:23:04,840 --> 00:23:06,200 Speaker 3: spent a lot of time thinking about it and talking 388 00:23:06,240 --> 00:23:10,280 Speaker 3: to people who know about it. But a lot of 389 00:23:10,280 --> 00:23:13,320 Speaker 3: people guessing to a certain extent on where this is going. 390 00:23:13,640 --> 00:23:16,600 Speaker 3: This makes me feel like it's never going to work 391 00:23:16,640 --> 00:23:18,119 Speaker 3: the way they think it's going to work. 392 00:23:20,520 --> 00:23:23,720 Speaker 1: I wouldn't leap to that conclusion, but you might be right. 393 00:23:24,440 --> 00:23:28,520 Speaker 3: I don't know, or it's or at the very least, 394 00:23:28,560 --> 00:23:30,919 Speaker 3: it's way scarier than I was thinking it was, and 395 00:23:31,000 --> 00:23:35,639 Speaker 3: its ability to go off the rails like it makes 396 00:23:35,680 --> 00:23:40,040 Speaker 3: the decision. I can't come up with fanciful scenarios where 397 00:23:40,040 --> 00:23:42,399 Speaker 3: it's like killing us and draining of us. 398 00:23:42,400 --> 00:23:45,840 Speaker 1: Are of our juices that you're always talking vital fluids? 399 00:23:45,920 --> 00:23:48,120 Speaker 3: Yes, but I could see how Grock, you know, your 400 00:23:48,160 --> 00:23:51,520 Speaker 3: AI at your your your AI HR person would fire 401 00:23:51,720 --> 00:23:54,840 Speaker 3: like two thirds of the workforce overnight when it figures out, well, 402 00:23:54,880 --> 00:23:57,159 Speaker 3: we're you know, we're having a tough quarter, we need 403 00:23:57,240 --> 00:24:00,600 Speaker 3: to cut expenses, and it just fires everybody or something 404 00:24:00,640 --> 00:24:04,280 Speaker 3: like that. It just doesn't it doesn't understand come what context, 405 00:24:04,440 --> 00:24:05,000 Speaker 3: like you said. 406 00:24:06,119 --> 00:24:08,639 Speaker 1: So I'm scanning this real quickly. I don't think he 407 00:24:08,800 --> 00:24:14,159 Speaker 1: asked for anonimity. Joe in Buffalo. It's a common enough name. 408 00:24:14,200 --> 00:24:16,800 Speaker 1: He could be anywhere, but he says, I'm an engineering 409 00:24:16,840 --> 00:24:19,680 Speaker 1: manager at a big aircraft and military contractor. My company 410 00:24:19,760 --> 00:24:21,959 Speaker 1: is moving quickly to adopt AI, and I'm jumping on 411 00:24:21,960 --> 00:24:24,280 Speaker 1: board in hopes of not being left behind. Very smart, Joe. 412 00:24:24,520 --> 00:24:27,080 Speaker 1: My recommendation to my kids, engineers on my team, any 413 00:24:27,080 --> 00:24:28,639 Speaker 1: young person I talk to, is to figure out how 414 00:24:28,640 --> 00:24:31,240 Speaker 1: to use AI now to help you be more efficient 415 00:24:31,280 --> 00:24:33,800 Speaker 1: at work. I'll be getting to the point of this 416 00:24:33,880 --> 00:24:36,280 Speaker 1: in a second. But I'm personally using AI to parse 417 00:24:36,320 --> 00:24:38,760 Speaker 1: complex log files. I don't even know what a log 418 00:24:38,800 --> 00:24:41,879 Speaker 1: file is, whether complex or simple, and I couldn't parse them, 419 00:24:42,320 --> 00:24:45,480 Speaker 1: create log file data plots, give me a give me 420 00:24:45,520 --> 00:24:48,920 Speaker 1: an hour, I'll come back to you with that log 421 00:24:49,000 --> 00:24:53,240 Speaker 1: file data plot. I drew summarized reports. I've written thousands 422 00:24:53,240 --> 00:24:56,560 Speaker 1: of lines of working code and computers in a computer 423 00:24:56,640 --> 00:24:59,560 Speaker 1: language I know nothing about. It's pretty amazing with AI. 424 00:25:00,520 --> 00:25:02,680 Speaker 1: On the show, you talked about AI hallucinations and how 425 00:25:02,680 --> 00:25:05,439 Speaker 1: it imagined a book that doesn't actually exist today. It 426 00:25:05,440 --> 00:25:08,240 Speaker 1: came across a reality filter that might help solve this issue. 427 00:25:08,359 --> 00:25:11,000 Speaker 1: When you start and this is crazy to me, but 428 00:25:11,040 --> 00:25:14,080 Speaker 1: it's so interesting. When you start an AI chat session, 429 00:25:14,359 --> 00:25:16,720 Speaker 1: you can give it a persona to tell it how 430 00:25:16,760 --> 00:25:19,680 Speaker 1: to respond to you. In this persona, you can include 431 00:25:19,680 --> 00:25:24,120 Speaker 1: this reality filter, which is designed to minimize hallucinations. Here 432 00:25:24,160 --> 00:25:27,280 Speaker 1: are the things you tell AI before you start working 433 00:25:27,320 --> 00:25:32,879 Speaker 1: with it. Never present, generated, inferred, speculated, or deduced contact. 434 00:25:32,920 --> 00:25:36,520 Speaker 1: The content is fact. If you cannot verify something directly, 435 00:25:36,600 --> 00:25:39,159 Speaker 1: say I cannot verify this, or I do not have 436 00:25:39,200 --> 00:25:41,600 Speaker 1: access to that information, or my knowledge base does not 437 00:25:41,640 --> 00:25:45,840 Speaker 1: contain that label unverified content at the start of a 438 00:25:45,960 --> 00:25:49,560 Speaker 1: sentence that it's inferenced, speculation, or unverified. 439 00:25:49,640 --> 00:25:51,760 Speaker 3: I think it's interesting that you have to tell grok, 440 00:25:51,920 --> 00:25:54,440 Speaker 3: like I used to tell my one of my kids 441 00:25:54,480 --> 00:25:57,040 Speaker 3: when he was little. If you don't know the answer, 442 00:25:57,080 --> 00:25:58,680 Speaker 3: you don't need to make something up. Just say I 443 00:25:58,720 --> 00:25:59,760 Speaker 3: don't know. I can't believe. 444 00:25:59,760 --> 00:26:02,080 Speaker 1: You need to tell it that that's not built that way. 445 00:26:02,440 --> 00:26:05,520 Speaker 1: That's funny, that's that's so similar. Ask for clarification of 446 00:26:05,640 --> 00:26:08,840 Speaker 1: if information is missing. Do not guess or fill gaps 447 00:26:09,200 --> 00:26:12,560 Speaker 1: if any part is unverified. Label the entire response. Do 448 00:26:12,640 --> 00:26:16,280 Speaker 1: not paraphrase or reinterpret my input unless I request it. 449 00:26:16,800 --> 00:26:20,200 Speaker 1: If you use these words, label the claim unless sourced, 450 00:26:20,480 --> 00:26:25,880 Speaker 1: prevent guarantee will never fix. His eliminates ensures that. But 451 00:26:26,000 --> 00:26:28,840 Speaker 1: and there are a couple more, But you have to 452 00:26:28,880 --> 00:26:31,720 Speaker 1: give it a long and specific set of directions about 453 00:26:31,800 --> 00:26:36,080 Speaker 1: not making crap up. Thanks Joe, appreciate the note. 454 00:26:36,320 --> 00:26:38,640 Speaker 3: Wow, well, I would assume that they could fix that. 455 00:26:40,160 --> 00:26:43,000 Speaker 3: Just have all a I tell all of a if 456 00:26:43,000 --> 00:26:45,000 Speaker 3: you don't know something, don't make something up. 457 00:26:45,040 --> 00:26:48,760 Speaker 1: Okay, we all agreement here. Yeah. I used it the 458 00:26:48,840 --> 00:26:55,000 Speaker 1: other day. It was lateish in the day and one 459 00:26:55,000 --> 00:26:58,040 Speaker 1: of my kids in a different time zone had a 460 00:26:58,160 --> 00:27:02,679 Speaker 1: sudden urgent problem, and I was like, holy crap, I'm 461 00:27:02,720 --> 00:27:05,840 Speaker 1: in the middle of doing something else. They need some advice, 462 00:27:07,320 --> 00:27:09,479 Speaker 1: and I thought, you know what, while I'm thinking about this, 463 00:27:09,720 --> 00:27:11,880 Speaker 1: I'm going to put it into chat GPT and see 464 00:27:11,880 --> 00:27:15,680 Speaker 1: what it says. And you know, it didn't give me anything. 465 00:27:15,680 --> 00:27:16,959 Speaker 1: I don't think I would have come up with on 466 00:27:17,000 --> 00:27:22,960 Speaker 1: my own, but it gave me clarity and actually then 467 00:27:23,880 --> 00:27:27,160 Speaker 1: did research. It was, you know, doing business with a business. 468 00:27:27,200 --> 00:27:31,119 Speaker 1: Things were going sideways, and it pointed out, you know, 469 00:27:31,160 --> 00:27:34,320 Speaker 1: an alternate is dealing with this business and here are 470 00:27:34,320 --> 00:27:39,119 Speaker 1: a couple that have excellent reputations in that area. And 471 00:27:39,160 --> 00:27:44,320 Speaker 1: I'm like, holy crap, okay, yeah, excellent point and made 472 00:27:44,359 --> 00:27:49,119 Speaker 1: some very wise fatherly suggestions. And I did not credit 473 00:27:49,240 --> 00:27:51,440 Speaker 1: chat GPT, which probably makes me. 474 00:27:51,400 --> 00:27:54,160 Speaker 3: A bad person while you're letting AI parent your kids. 475 00:27:54,600 --> 00:28:00,960 Speaker 3: Is pretty much yes, pretty much. I know I've had 476 00:28:01,000 --> 00:28:03,760 Speaker 3: this experience before too, or I asked some sort of 477 00:28:03,800 --> 00:28:05,960 Speaker 3: question like that, and I think that's really good. I 478 00:28:05,960 --> 00:28:08,679 Speaker 3: shouldn't be using this because it's not my idea, but 479 00:28:09,000 --> 00:28:10,080 Speaker 3: that is really good. 480 00:28:11,320 --> 00:28:16,879 Speaker 1: Yeah, yeah, huh. 481 00:28:16,920 --> 00:28:20,040 Speaker 3: I don't know where that's going, specifically about my kid. 482 00:28:20,240 --> 00:28:23,000 Speaker 3: One particular kid. I put in so here's my situation, 483 00:28:23,080 --> 00:28:25,360 Speaker 3: and it had some suggestions who are like, wow, that's 484 00:28:25,520 --> 00:28:26,960 Speaker 3: really a good idea. 485 00:28:27,320 --> 00:28:30,439 Speaker 1: Right right, And it was the part of the reason 486 00:28:30,520 --> 00:28:33,800 Speaker 1: that I felt like overwhelmed temporarily was I was in 487 00:28:33,840 --> 00:28:36,480 Speaker 1: the middle of something and it was a big issue 488 00:28:36,680 --> 00:28:38,640 Speaker 1: with a lot of money at stake, having to deal 489 00:28:38,680 --> 00:28:42,400 Speaker 1: with a car, and my mind immediately went to, oh, 490 00:28:42,400 --> 00:28:44,360 Speaker 1: my gosh, I got to research the value of that. 491 00:28:44,720 --> 00:28:47,000 Speaker 1: I've got to assess the likelihood of that. We've got 492 00:28:47,040 --> 00:28:49,720 Speaker 1: to balance that against the other alternative, which is blah 493 00:28:49,720 --> 00:28:53,720 Speaker 1: blah blah, plus her situation is blah blah blah. But 494 00:28:54,160 --> 00:28:57,360 Speaker 1: you know, it did that, all of that crunching of 495 00:28:57,440 --> 00:29:01,200 Speaker 1: data and information and you know, fraction of a second. Wow, 496 00:29:01,920 --> 00:29:08,719 Speaker 1: is this gonna make us yes, lazy and stupid lazes? 497 00:29:08,920 --> 00:29:14,280 Speaker 1: It already has me. Are you kidding? Oh my god? 498 00:29:14,440 --> 00:29:16,080 Speaker 1: We will finish strong next time. 499 00:29:20,040 --> 00:29:24,520 Speaker 5: An unknown person or group using AI impersonated secretary of 500 00:29:24,600 --> 00:29:28,120 Speaker 5: Rubio to contact on these five high level of government officials. 501 00:29:28,200 --> 00:29:31,320 Speaker 5: Last month, the fake Rubio reached out to of these 502 00:29:31,440 --> 00:29:35,080 Speaker 5: three foreign ministers, a US governor, and a member of Congress. 503 00:29:35,520 --> 00:29:37,800 Speaker 5: The State Department is now investigating why. 504 00:29:37,920 --> 00:29:38,120 Speaker 1: Yeah. 505 00:29:38,160 --> 00:29:41,200 Speaker 3: Ian Bremer was tweeting out about this yesterday on his 506 00:29:41,400 --> 00:29:44,520 Speaker 3: UH feed that this is going to be happening a lot, 507 00:29:44,600 --> 00:29:46,920 Speaker 3: and I'll bet it is. It's kind I'm surprising it's 508 00:29:46,960 --> 00:29:47,959 Speaker 3: the first time it's happened. 509 00:29:49,200 --> 00:29:55,280 Speaker 1: If young me had access to that technology, like prior 510 00:29:55,320 --> 00:29:58,600 Speaker 1: to my twenty fifth birthday, I would have done all 511 00:29:58,640 --> 00:30:00,400 Speaker 1: sorts of insane things with well. 512 00:30:00,480 --> 00:30:02,760 Speaker 3: Right, we have listeners that I don't think are experts 513 00:30:02,760 --> 00:30:05,000 Speaker 3: who have put together various clips of us of Trump 514 00:30:05,040 --> 00:30:07,600 Speaker 3: talking about US, or US talking about things or whatever. 515 00:30:08,560 --> 00:30:10,440 Speaker 3: And so, yeah, you don't have to be a super 516 00:30:10,480 --> 00:30:13,760 Speaker 3: genius to grab somebody's voice and turn it into something. 517 00:30:14,560 --> 00:30:17,280 Speaker 1: Well right, and if you have any and if this 518 00:30:17,320 --> 00:30:19,840 Speaker 1: does not exist now, it will vary very soon because 519 00:30:20,120 --> 00:30:23,920 Speaker 1: I mean, for instance, your big translation apps, including Google, 520 00:30:24,040 --> 00:30:26,720 Speaker 1: you can speak to it and it will with a 521 00:30:26,840 --> 00:30:29,920 Speaker 1: very very short delay, translate you in real time using 522 00:30:29,960 --> 00:30:34,719 Speaker 1: your tone of voice into another language, using your voice, 523 00:30:34,760 --> 00:30:38,560 Speaker 1: synthesizing your voice. I think we played an example of 524 00:30:38,560 --> 00:30:41,760 Speaker 1: that a few weeks ago. Soon I'll be able to 525 00:30:42,520 --> 00:30:45,960 Speaker 1: punch in Marco Rubio or Donald Trump or whatever, call 526 00:30:46,040 --> 00:30:51,520 Speaker 1: my local congress person or you know, the local hospital, 527 00:30:52,280 --> 00:30:55,200 Speaker 1: or you know, if I'm having trouble getting a reservation 528 00:30:55,280 --> 00:30:58,280 Speaker 1: at a hotspot, my local nice restaurant. 529 00:30:58,960 --> 00:31:07,160 Speaker 3: Right, So, Elon's Ai Grock went pro Hitler and they're apologizing. 530 00:31:07,200 --> 00:31:10,920 Speaker 3: Does that have anything to do with the person that 531 00:31:11,160 --> 00:31:12,920 Speaker 3: runs Twitter stepping down today? 532 00:31:13,160 --> 00:31:14,160 Speaker 1: Are those unrelated? 533 00:31:14,640 --> 00:31:14,840 Speaker 5: Yeah? 534 00:31:14,880 --> 00:31:17,880 Speaker 1: I don't know. The gallery on Twitter just announced she's 535 00:31:17,880 --> 00:31:25,680 Speaker 1: stepping down Chat not chat X. AI just merged with 536 00:31:26,280 --> 00:31:30,320 Speaker 1: X and I think she was I'm running a media company, 537 00:31:30,520 --> 00:31:33,280 Speaker 1: I'm not an AI executive, so she's just stepped to sign. 538 00:31:33,320 --> 00:31:35,600 Speaker 3: But so here's the headline in the New York Post. 539 00:31:35,640 --> 00:31:41,720 Speaker 3: I think it's probably overstated. Oh, they changed it already. 540 00:31:41,800 --> 00:31:44,880 Speaker 3: It did say Biden doctor storms out of congressional hearing. 541 00:31:44,880 --> 00:31:48,320 Speaker 3: They've changed storms out, just left. But the Biden doctor 542 00:31:48,360 --> 00:31:53,800 Speaker 3: Kevin O'Connor, wouldn't answer question about Biden's health. Some of 543 00:31:53,840 --> 00:31:57,560 Speaker 3: you were looking forward to today. Doctor Kevin O'Connor declined 544 00:31:57,560 --> 00:32:02,040 Speaker 3: to answer questions about Joe Biden's cognitive decline pled the 545 00:32:02,080 --> 00:32:05,440 Speaker 3: Fifth Amendment, not surprising at all before ducking out of 546 00:32:05,480 --> 00:32:08,640 Speaker 3: a high profile congressional deposition. The first question he was 547 00:32:08,760 --> 00:32:12,000 Speaker 3: asked was were you ever told to lie about the 548 00:32:12,000 --> 00:32:16,720 Speaker 3: President's health? He pleaded the Fifth Amendment. The chairman then said, 549 00:32:16,880 --> 00:32:20,120 Speaker 3: and this is chairman comer, did you ever believe President 550 00:32:20,200 --> 00:32:24,000 Speaker 3: Biben was Biden was unfit to execute his duties, and 551 00:32:24,080 --> 00:32:28,040 Speaker 3: again the doctor pleaded the fifth, which of course you would. 552 00:32:29,800 --> 00:32:38,000 Speaker 1: Yeah, yeah, that's that's interesting. I'm torn on this one 553 00:32:38,040 --> 00:32:42,040 Speaker 1: because it's important. It's an enormous scandal. It's unbelievable that 554 00:32:42,080 --> 00:32:44,680 Speaker 1: they covered up for Biden's umility and trying to run 555 00:32:44,760 --> 00:32:50,520 Speaker 1: him again last year for God's sake. But at the 556 00:32:50,520 --> 00:32:54,800 Speaker 1: same time, we all know, yeah, I don't need that 557 00:32:54,920 --> 00:32:58,080 Speaker 1: doctor to tell me, all right, yes, jd Ay, I lied. 558 00:32:58,480 --> 00:33:02,640 Speaker 1: He's actually Seniland, rambling and shrembling and loses his train 559 00:33:02,720 --> 00:33:07,160 Speaker 1: of thought all the time. And I'm like, yeah, we know, 560 00:33:08,160 --> 00:33:08,440 Speaker 1: I know. 561 00:33:09,200 --> 00:33:12,520 Speaker 3: And then what happens even if you get him to 562 00:33:12,560 --> 00:33:15,560 Speaker 3: answer these questions that dooms Biden's chances of winning in 563 00:33:15,600 --> 00:33:17,240 Speaker 3: twenty twenty four. I mean, I don't even know what 564 00:33:17,280 --> 00:33:19,840 Speaker 3: you get out of it, or you know, Tar's Democrats 565 00:33:19,840 --> 00:33:23,440 Speaker 3: as liars and covers uppers of you know, senile people. 566 00:33:23,480 --> 00:33:27,440 Speaker 3: But I mentioned this yesterday worth repeating for anybody who 567 00:33:27,400 --> 00:33:29,600 Speaker 3: didn't hear it. We have quite the history of this 568 00:33:29,640 --> 00:33:30,360 Speaker 3: in this country. 569 00:33:30,920 --> 00:33:31,400 Speaker 1: FDR. 570 00:33:31,520 --> 00:33:33,560 Speaker 3: According to this World War two book that I'm reading, 571 00:33:35,560 --> 00:33:37,760 Speaker 3: the doctors looked him over. He was in horrible shape. 572 00:33:37,800 --> 00:33:40,240 Speaker 3: Absolutely shouldn't run. There's no way he could live more 573 00:33:40,240 --> 00:33:41,800 Speaker 3: than a year or two. When he was running for 574 00:33:41,840 --> 00:33:45,040 Speaker 3: reelection for his fourth time, and the official White House 575 00:33:45,080 --> 00:33:47,240 Speaker 3: doctor came out and said he's in actually better shape 576 00:33:47,360 --> 00:33:51,720 Speaker 3: than he was in thirty three. Wow, just like Jean 577 00:33:51,760 --> 00:33:54,200 Speaker 3: Pierre saying I can't keep up with him. So we've 578 00:33:54,200 --> 00:33:55,840 Speaker 3: been doing this routine for a long time. 579 00:33:56,920 --> 00:33:59,160 Speaker 1: All great things are simple and many. Can it be 580 00:33:59,200 --> 00:34:04,360 Speaker 1: expressed in a tangle word? Freedom? Justice, honor, duty, mercy, hope, 581 00:34:05,560 --> 00:34:07,320 Speaker 1: final thoughts his two words. 582 00:34:09,719 --> 00:34:13,640 Speaker 3: By the way, this was at a time when Secret 583 00:34:13,680 --> 00:34:17,040 Speaker 3: Service people were carrying FDR from his car to a 584 00:34:17,040 --> 00:34:20,000 Speaker 3: different car. I mean, because he was so weak, he 585 00:34:20,120 --> 00:34:24,319 Speaker 3: was like just bones. Anyway, Wow, here's your host for 586 00:34:24,360 --> 00:34:25,560 Speaker 3: final thoughts, Joe Getty. 587 00:34:25,920 --> 00:34:27,680 Speaker 1: Let's get a final thought from everybody on the crew 588 00:34:27,719 --> 00:34:29,600 Speaker 1: to wrap things up for the day. Michael Angelow in 589 00:34:29,640 --> 00:34:31,640 Speaker 1: the control room. What's your final thought? Michael? Well, I've 590 00:34:31,640 --> 00:34:33,440 Speaker 1: got this cold, and I've been looking on the internet 591 00:34:33,520 --> 00:34:36,080 Speaker 1: for cures for the common cold. So far, I've come 592 00:34:36,160 --> 00:34:38,959 Speaker 1: up with tie onions around your feet. So I'm gonna 593 00:34:38,960 --> 00:34:42,319 Speaker 1: go give that a give that a whirl. Yeah, raw 594 00:34:42,360 --> 00:34:45,520 Speaker 1: one sliced Katie Green or a steamed Newswoman. As a 595 00:34:45,560 --> 00:34:47,759 Speaker 1: final thought, Katie, if you have not tried it yet, 596 00:34:47,840 --> 00:34:50,160 Speaker 1: try using chat GPT to find out what to make 597 00:34:50,200 --> 00:34:53,799 Speaker 1: for dinner? Oh like, what's in your fridge? Cool? Did 598 00:34:53,800 --> 00:34:56,360 Speaker 1: it the other night? I had the great the greatest dinner, 599 00:34:56,560 --> 00:34:59,560 Speaker 1: that's all. Wow, I haven't done that yet, Jack. 600 00:34:59,600 --> 00:35:01,520 Speaker 3: A final thought for us, So as I've been saying, 601 00:35:01,520 --> 00:35:04,440 Speaker 3: I've been working on a neutral facial expression, trying to 602 00:35:04,480 --> 00:35:06,960 Speaker 3: get rid of my RBF, and apparently you can do that. 603 00:35:07,120 --> 00:35:08,759 Speaker 1: But what did you say? It looks like when I do. 604 00:35:08,719 --> 00:35:11,120 Speaker 3: That, Katie, it looks like you're plotting on me, Like 605 00:35:11,200 --> 00:35:11,960 Speaker 3: I'm plotting. 606 00:35:12,080 --> 00:35:16,560 Speaker 1: I don't want to look like I'm plotting against people. Boy. Yeah, 607 00:35:16,680 --> 00:35:21,200 Speaker 1: from overt murderousness to like clandestine murderousness. I'm not sure 608 00:35:21,280 --> 00:35:24,680 Speaker 1: that's progressed. My final thought, Funny, you should bring up cooking, Katie. 609 00:35:24,719 --> 00:35:27,000 Speaker 1: I have been updated. I now have zero kitchens in 610 00:35:27,040 --> 00:35:30,840 Speaker 1: my home. This model is progressing and they have dismantled 611 00:35:30,880 --> 00:35:34,320 Speaker 1: the kitchen, the era of the toaster, oven, the camp stove, 612 00:35:35,160 --> 00:35:39,040 Speaker 1: the eating out has begun. There you go. Let's see 613 00:35:39,080 --> 00:35:41,160 Speaker 1: how this fits in with weight gain or loss. 614 00:35:41,280 --> 00:35:44,759 Speaker 3: I can Armstrong and Geeddy wrapping up another grueling four 615 00:35:44,760 --> 00:35:45,520 Speaker 3: hour workday. 616 00:35:45,960 --> 00:35:48,799 Speaker 1: Well convenience foods are local and great for you. So 617 00:35:48,840 --> 00:35:50,640 Speaker 1: many people who thanks a little time go to Armstrong 618 00:35:50,640 --> 00:35:53,040 Speaker 1: and Geddy dot com, hit the hot links, Katie's corner, 619 00:35:53,120 --> 00:35:54,280 Speaker 1: drop us and no pickups. 620 00:35:54,320 --> 00:35:57,200 Speaker 3: Ang swag helps keep everybody on the payroll. I will 621 00:35:57,320 --> 00:36:00,239 Speaker 3: we will see you tomorrow. God bless America. 622 00:36:01,400 --> 00:36:03,440 Speaker 1: I'm strong and get it. We get a lot of 623 00:36:03,640 --> 00:36:06,400 Speaker 1: vote thrown at us. You you. 624 00:36:07,960 --> 00:36:08,520 Speaker 3: Go away. 625 00:36:08,719 --> 00:36:10,799 Speaker 1: I mean, if anyone think that's bonkers, it's like, well 626 00:36:10,800 --> 00:36:13,080 Speaker 1: we're on the brink. Let me say, let me say 627 00:36:13,080 --> 00:36:14,640 Speaker 1: one thing. If you leave it in your crawl, your 628 00:36:14,680 --> 00:36:17,080 Speaker 1: craw gets all red and infected. You need anabiotics. You 629 00:36:17,080 --> 00:36:20,400 Speaker 1: don't want that, Michael, break out mister Armstrong's crawl cream. 630 00:36:20,440 --> 00:36:22,640 Speaker 1: Won't you got it? We're gonna have to you if 631 00:36:22,680 --> 00:36:25,399 Speaker 1: you administers that. Now I started it and now I'm 632 00:36:25,440 --> 00:36:30,040 Speaker 1: disgusted by it. I know by arms Strong and Getty