1 00:00:00,920 --> 00:00:04,280 Speaker 1: You're listening to KFI AM six forty on demand. 2 00:00:09,000 --> 00:00:13,720 Speaker 2: I am six forty more stimulating talk. Thanks for hanging 3 00:00:13,760 --> 00:00:15,840 Speaker 2: out here. Super Bowl Sunday. I'm Chris Merrill. One of 4 00:00:15,880 --> 00:00:19,279 Speaker 2: the big stories that we had, And it's kind of 5 00:00:19,280 --> 00:00:22,079 Speaker 2: week two on this because so much of us have 6 00:00:22,720 --> 00:00:26,440 Speaker 2: been focused on Nancy Guthrie all week long. The Epstein 7 00:00:26,480 --> 00:00:30,320 Speaker 2: files drop and what three and a half million pages, 8 00:00:30,400 --> 00:00:32,680 Speaker 2: So as we were going on last week with our show, 9 00:00:32,720 --> 00:00:35,400 Speaker 2: there was not enough time to wade through that. We're 10 00:00:35,400 --> 00:00:37,680 Speaker 2: starting to understand a little bit more about who's in there, 11 00:00:37,680 --> 00:00:39,680 Speaker 2: and of course President Trump's name is all over it. 12 00:00:39,720 --> 00:00:41,159 Speaker 2: We knew that his name was going to be all 13 00:00:41,200 --> 00:00:42,879 Speaker 2: over those files. There's nothing in there that says that 14 00:00:42,920 --> 00:00:45,520 Speaker 2: he was ordering up underage girls for sex or anything 15 00:00:45,520 --> 00:00:49,360 Speaker 2: else like that. Right, So there's disappointment to the Democrats, 16 00:00:49,479 --> 00:00:51,280 Speaker 2: as most of us knew it was going to be 17 00:00:51,360 --> 00:00:54,320 Speaker 2: that there was no smoking gun on it. However, they 18 00:00:54,400 --> 00:00:57,200 Speaker 2: keep trying to say Epstein files, Epstein files, Epstein files, 19 00:00:57,200 --> 00:01:00,000 Speaker 2: because it doesn't look good that he's in the Epstein 20 00:01:00,080 --> 00:01:04,480 Speaker 2: files at all. But there's there's certainly no smoking gun. However, 21 00:01:05,160 --> 00:01:08,280 Speaker 2: it did not look so good for somebody a little 22 00:01:08,280 --> 00:01:11,800 Speaker 2: bit closer to home. In fact, ABC seven was talking 23 00:01:11,880 --> 00:01:14,680 Speaker 2: about sort of big name in that file. 24 00:01:15,240 --> 00:01:19,080 Speaker 3: LA twenty eight Olympic Organizing Committee chair Casey Wasserman is 25 00:01:19,120 --> 00:01:22,600 Speaker 3: in Milan, Italy ahead of the Winter Olympic Games there, 26 00:01:22,880 --> 00:01:25,600 Speaker 3: but back home, he finds himself in the hot seat. 27 00:01:26,080 --> 00:01:30,120 Speaker 3: LA County supervisors Jenishahn and Lindsay Horvat are just some 28 00:01:30,200 --> 00:01:33,000 Speaker 3: of the big names joining a growing list of leaders 29 00:01:33,319 --> 00:01:37,520 Speaker 3: calling for Wasramen to resign after revelations he exchanged racy 30 00:01:37,600 --> 00:01:41,280 Speaker 3: emails with now convicted sex offender Gilaine Maxwell. 31 00:01:41,360 --> 00:01:44,240 Speaker 2: Oh that's not a good look. Not a good look, 32 00:01:44,360 --> 00:01:46,840 Speaker 2: is it. Well. I don't think there's anything criminal in there. 33 00:01:46,840 --> 00:01:48,480 Speaker 2: I don't think they're going to chase him down criminally. 34 00:01:49,000 --> 00:01:52,080 Speaker 2: Racy emails are not illegal, but it does not look good, 35 00:01:52,160 --> 00:01:55,280 Speaker 2: especially for a guy who's heading up the US Olympics. 36 00:01:56,000 --> 00:01:58,120 Speaker 4: I do think that it will be a distraction for 37 00:01:58,240 --> 00:02:01,080 Speaker 4: a city that definitely has a lot of work to 38 00:02:01,080 --> 00:02:03,840 Speaker 4: do to pull these games off, and we need the 39 00:02:03,840 --> 00:02:05,760 Speaker 4: community to be coming together, not pulled apart. 40 00:02:06,360 --> 00:02:10,040 Speaker 3: Waserman's name came up in the DOJ's latest document disclosure 41 00:02:10,200 --> 00:02:14,560 Speaker 3: related to the Jeffrey Epstein investigation. The Suggestive emails between 42 00:02:14,639 --> 00:02:17,400 Speaker 3: Wasserman and Maxwell date back to two thousand and three, 43 00:02:18,000 --> 00:02:21,200 Speaker 3: like this one where Wasserman, who was married at the time, 44 00:02:21,400 --> 00:02:24,639 Speaker 3: writes to Maxwell he misses her and wants to book 45 00:02:24,680 --> 00:02:27,840 Speaker 3: that massage. He adds, I think of you all the time, 46 00:02:28,200 --> 00:02:30,120 Speaker 3: So what do I have to do to see you 47 00:02:30,240 --> 00:02:31,840 Speaker 3: in a tight leather outfit? 48 00:02:32,320 --> 00:02:38,400 Speaker 2: God? Boys are dumb. They're so dumb, so so dumb. 49 00:02:39,560 --> 00:02:42,280 Speaker 2: What do you think she likes you? Yeah? I got 50 00:02:42,280 --> 00:02:44,400 Speaker 2: a buddy that likes to go to strip clubs and 51 00:02:44,480 --> 00:02:48,360 Speaker 2: he's like, Oh, these girls are different. I really connect 52 00:02:48,440 --> 00:02:48,800 Speaker 2: with them. 53 00:02:49,440 --> 00:02:50,160 Speaker 1: No you don't. 54 00:02:51,120 --> 00:02:51,840 Speaker 5: No, you don't. 55 00:02:52,440 --> 00:02:55,519 Speaker 2: You think that you connect with them because you're paying 56 00:02:55,600 --> 00:02:58,440 Speaker 2: them to make you think that you connect with them. 57 00:02:58,639 --> 00:02:59,799 Speaker 2: Boys are so dumb. 58 00:03:00,320 --> 00:03:03,760 Speaker 3: Years later, Maxwell was found guilty of trafficking young women 59 00:03:03,960 --> 00:03:06,600 Speaker 3: from nineteen ninety four through two thousand and four. 60 00:03:06,919 --> 00:03:09,400 Speaker 2: I should point out, though, there's a big difference between 61 00:03:09,880 --> 00:03:14,200 Speaker 2: hitting on jis Lane Maxwell while you're married versus ordering 62 00:03:14,280 --> 00:03:17,840 Speaker 2: up underage girls to meet you at a dirty sex island. 63 00:03:18,760 --> 00:03:24,440 Speaker 2: Big difference, one immoral, the other basically string them up 64 00:03:24,440 --> 00:03:24,880 Speaker 2: in the street. 65 00:03:25,000 --> 00:03:28,960 Speaker 3: Right Waserman is not accused of any criminal wrongdoing by 66 00:03:29,000 --> 00:03:32,280 Speaker 3: the DOJ. In a statement, he says, quote, I deeply 67 00:03:32,320 --> 00:03:36,000 Speaker 3: regret my correspondence with Glaine Maxwell, which took place over 68 00:03:36,040 --> 00:03:39,760 Speaker 3: two decades ago, long before her horrific crimes came to light. 69 00:03:40,080 --> 00:03:43,600 Speaker 3: I never had a personal or business relationship with Jeffrey Epstein. 70 00:03:43,880 --> 00:03:47,040 Speaker 3: As is well documented, I went on a humanitarian trip 71 00:03:47,080 --> 00:03:49,920 Speaker 3: as part of a delegation with the Clinton Foundation in 72 00:03:49,960 --> 00:03:52,760 Speaker 3: two thousand and two on the Epstein plane. I am 73 00:03:52,880 --> 00:03:56,240 Speaker 3: terribly sorry for having any association with either of them. 74 00:03:56,480 --> 00:03:56,600 Speaker 4: Oh. 75 00:03:56,640 --> 00:04:00,440 Speaker 2: I love that he throws Clinton under the bush. Is great, 76 00:04:01,600 --> 00:04:05,680 Speaker 2: just absolutely destroys because he saying, well, it was basically 77 00:04:05,760 --> 00:04:10,160 Speaker 2: because I was with Bill Clinton outstanding, really good stuff. 78 00:04:10,200 --> 00:04:14,560 Speaker 2: All right. Meanwhile, what are the big takeaways from the 79 00:04:14,560 --> 00:04:15,560 Speaker 2: Epstein files? 80 00:04:16,040 --> 00:04:18,640 Speaker 6: A spokesman for Bill and Hillary Clinton are confirming the 81 00:04:18,680 --> 00:04:21,120 Speaker 6: former president and former Secretary of State have agreed to 82 00:04:21,160 --> 00:04:25,200 Speaker 6: give depositions in the House overside committees Jeffrey Epstein investigation. 83 00:04:25,320 --> 00:04:32,000 Speaker 2: Oh it's more Clinton's weird. God, Oh my god, you 84 00:04:32,040 --> 00:04:35,320 Speaker 2: realize that the twenty twenty six excuse me, the twenty 85 00:04:36,600 --> 00:04:39,599 Speaker 2: we he got that right, the twenty there is sixteen there. 86 00:04:39,720 --> 00:04:42,400 Speaker 2: Thank you, Kayla, Uh, producer, Kayla really helped me out 87 00:04:42,440 --> 00:04:44,920 Speaker 2: on that one. She did not. The twenty sixteen election 88 00:04:45,080 --> 00:04:49,320 Speaker 2: was between someone who was all over the Epstein files 89 00:04:49,560 --> 00:04:54,760 Speaker 2: and someone who was all over the Epstein files. Why 90 00:04:54,800 --> 00:04:57,679 Speaker 2: we are just crushing it when we pick our candidates, 91 00:04:57,720 --> 00:05:01,080 Speaker 2: aren't we are? Is there anyone in the party that 92 00:05:01,240 --> 00:05:04,440 Speaker 2: is not associated with a massive pedophile ring. 93 00:05:05,080 --> 00:05:07,440 Speaker 6: This comes as the Department of Justice says it's taken 94 00:05:07,520 --> 00:05:12,159 Speaker 6: down several thousand documents from its website that mistakenly identified victims. 95 00:05:12,600 --> 00:05:16,599 Speaker 2: Oh yeah, what a cluster this is. Oh man, we've 96 00:05:16,640 --> 00:05:19,640 Speaker 2: released the files now. Oops? Did we put the victims 97 00:05:19,640 --> 00:05:19,920 Speaker 2: in there? 98 00:05:19,920 --> 00:05:20,080 Speaker 6: Oh? 99 00:05:20,680 --> 00:05:22,920 Speaker 2: Did we have a bunch of naked pictures of victims 100 00:05:22,920 --> 00:05:26,480 Speaker 2: in the files that were released publicly? Yeah, that's our bad. Sorry, 101 00:05:26,520 --> 00:05:29,800 Speaker 2: we'll go through those again. You miss the deadline by 102 00:05:29,839 --> 00:05:33,000 Speaker 2: a month. This is after you told us there were 103 00:05:33,080 --> 00:05:36,320 Speaker 2: no there's no list. Pam Bondi says, there's a list 104 00:05:36,320 --> 00:05:38,039 Speaker 2: that's on my desk. The files are on my desk. 105 00:05:38,600 --> 00:05:41,360 Speaker 2: Obviously they're not because there's three and a half million pages. 106 00:05:41,560 --> 00:05:43,480 Speaker 2: So I don't know how big her desk is. But 107 00:05:43,560 --> 00:05:45,000 Speaker 2: she didn't have three and a half million pages on 108 00:05:45,040 --> 00:05:47,520 Speaker 2: her desk, and they had plenty of time to go 109 00:05:47,560 --> 00:05:51,279 Speaker 2: through it. Well, there's that case is pretty well closed. 110 00:05:51,279 --> 00:05:53,240 Speaker 2: We got everybody we're going to get. There's nobody else 111 00:05:53,279 --> 00:05:56,600 Speaker 2: in there, and then people keep pushing for transport. No, 112 00:05:56,640 --> 00:05:58,360 Speaker 2: we want to see the Epstein files. We want to 113 00:05:58,360 --> 00:06:00,719 Speaker 2: see the files. We want to see the files. Oh no, 114 00:06:00,760 --> 00:06:02,000 Speaker 2: you don't need to see the files. I mean he 115 00:06:02,160 --> 00:06:04,000 Speaker 2: Finally a judge says, yeah, you got to show the files. 116 00:06:04,440 --> 00:06:07,360 Speaker 2: Then they're late to deliver the files, and then they 117 00:06:07,360 --> 00:06:10,599 Speaker 2: screw it up and start showing naked pictures of the victims. 118 00:06:11,200 --> 00:06:15,839 Speaker 2: I mean, is there anybody with half a brain in DC? 119 00:06:17,000 --> 00:06:19,800 Speaker 2: I mean it, anybody with half a brain. And I 120 00:06:20,440 --> 00:06:22,279 Speaker 2: tend to offer a little bit of grace to people 121 00:06:22,320 --> 00:06:25,280 Speaker 2: because we're all human. We all make mistakes, but got 122 00:06:25,360 --> 00:06:30,800 Speaker 2: some of these mistakes are so obvious and repeated, and 123 00:06:30,920 --> 00:06:33,120 Speaker 2: some mistakes I don't think this one, I think is 124 00:06:33,160 --> 00:06:35,200 Speaker 2: an accident. I don't think they meant to put naked 125 00:06:35,240 --> 00:06:38,800 Speaker 2: pictures of victims out there, but some mistakes like yeah, 126 00:06:38,839 --> 00:06:40,760 Speaker 2: there's nobody else in there. Oh, there's no reason to 127 00:06:40,800 --> 00:06:43,360 Speaker 2: look at it. No, the case is closed. That was intentional. 128 00:06:44,000 --> 00:06:45,520 Speaker 2: I don't know what the endgame was, but it was 129 00:06:45,600 --> 00:06:49,440 Speaker 2: totally intentional. Okay, back to I think it's Mark Brown 130 00:06:49,440 --> 00:06:50,479 Speaker 2: there at the ABC seven. 131 00:06:51,120 --> 00:06:54,320 Speaker 6: The takedown comes after an emergency request from multiple survivors 132 00:06:54,320 --> 00:06:57,480 Speaker 6: following today's release, writing the DOJ committed what may be 133 00:06:57,720 --> 00:07:00,760 Speaker 6: the single most egregious violation of victim in privacy in 134 00:07:00,839 --> 00:07:04,720 Speaker 6: one day in United States history. Attorneys for Jeffrey Epstein's 135 00:07:04,800 --> 00:07:07,800 Speaker 6: victims or asking the judges to order the DOJ site 136 00:07:07,880 --> 00:07:11,120 Speaker 6: itself to be taken down entirely. The Department of Justice says, 137 00:07:11,160 --> 00:07:13,120 Speaker 6: technical or human errors could be to blame? 138 00:07:13,840 --> 00:07:16,920 Speaker 2: Who else is to technical or human errors are to blame? 139 00:07:17,680 --> 00:07:22,960 Speaker 2: Who else is to blame? What did you hire an 140 00:07:22,960 --> 00:07:25,600 Speaker 2: ocelot to do the work? Of course, it's either technical 141 00:07:25,680 --> 00:07:30,320 Speaker 2: or human error. Probably human error. Well, well you know 142 00:07:30,400 --> 00:07:32,680 Speaker 2: it could be one or the other. Not really sure 143 00:07:33,720 --> 00:07:37,560 Speaker 2: on real Meanwhile, what of our what are the big takeaways? 144 00:07:37,640 --> 00:07:39,800 Speaker 2: Let me see if we can find the big takeaways? 145 00:07:39,800 --> 00:07:43,120 Speaker 2: One was Bill Gates was all over those files and 146 00:07:43,240 --> 00:07:46,160 Speaker 2: that's a biggie And Melinda Gates says, no, any answer 147 00:07:46,160 --> 00:07:49,800 Speaker 2: for that. This is Bill Gates ex wife. No, he 148 00:07:49,840 --> 00:07:53,800 Speaker 2: needs to answer for the allegations in the Epstein files. 149 00:07:54,800 --> 00:07:59,400 Speaker 2: Epstein lawyers discussed the possibility of cooperation days before he died. 150 00:07:59,480 --> 00:08:01,760 Speaker 2: Now this is too because how long have we speculated 151 00:08:01,760 --> 00:08:05,760 Speaker 2: that Epstein didn't kill himself. Less than two weeks before 152 00:08:05,760 --> 00:08:09,680 Speaker 2: he died in jail files showed that his attorneys met 153 00:08:09,720 --> 00:08:12,880 Speaker 2: with federal prosecutors to discuss potential cooperation. In other words, 154 00:08:12,880 --> 00:08:17,480 Speaker 2: he was gonna ratays, let me see through the attorney's 155 00:08:17,520 --> 00:08:20,360 Speaker 2: a very general terms. Discussed the possibility of a resolution 156 00:08:20,480 --> 00:08:24,320 Speaker 2: of the case, impossibly of the defendant's cooperation. So he 157 00:08:24,400 --> 00:08:27,240 Speaker 2: was going to roll, which I believe he did when 158 00:08:27,240 --> 00:08:28,560 Speaker 2: he got the sweetheart deal back in. 159 00:08:30,200 --> 00:08:30,480 Speaker 4: I don't know. 160 00:08:30,640 --> 00:08:35,320 Speaker 2: Was it the late Bush administration early Obama administration. Yeah, 161 00:08:35,480 --> 00:08:38,240 Speaker 2: FBI did receive allegations about Trump. One document and the 162 00:08:38,280 --> 00:08:41,120 Speaker 2: release taunch is a summary that FBI officials appeared to 163 00:08:41,120 --> 00:08:43,200 Speaker 2: have compiled last summer of more than a dozen tips 164 00:08:43,280 --> 00:08:46,040 Speaker 2: received by the agency involving Trump and Epstein. Unclear why 165 00:08:46,080 --> 00:08:48,920 Speaker 2: the investigators put together the summary. It does say that 166 00:08:48,920 --> 00:08:52,000 Speaker 2: when the tips, which included unsubstantiated claims of sexual abuse, 167 00:08:52,040 --> 00:08:55,000 Speaker 2: were received. The document also does not include any corroborating 168 00:08:55,040 --> 00:08:58,319 Speaker 2: evidence or indication that the tips were verified. So again, 169 00:08:58,360 --> 00:09:02,160 Speaker 2: Trump is all over there and there's smoke no fire. 170 00:09:03,280 --> 00:09:06,880 Speaker 2: Musk Elon Musk was tied to Epstein. He really wanted 171 00:09:06,880 --> 00:09:08,560 Speaker 2: to go to the island. We see what else is 172 00:09:08,600 --> 00:09:15,640 Speaker 2: on here? Oh yeah, Prince Andrew invited Epstein to Buckingham Palace. 173 00:09:16,559 --> 00:09:23,560 Speaker 2: Oh my gosh, gross, nobody wants those crown jewels. Richard 174 00:09:23,559 --> 00:09:26,679 Speaker 2: Brandson and Epstein exchanged emails. That's not anything too big 175 00:09:26,760 --> 00:09:29,840 Speaker 2: files show. Oh yeah, well the Olympic Committee. I told 176 00:09:29,840 --> 00:09:34,840 Speaker 2: you about that. That's Wasserman, Casey Wasserman. You heard about 177 00:09:34,840 --> 00:09:38,040 Speaker 2: that earlier in the segment. Steve Tish, New York Giants 178 00:09:38,040 --> 00:09:43,400 Speaker 2: owner exchanged emails with Epstein. You see anybody else in here? Oh? 179 00:09:43,400 --> 00:09:47,240 Speaker 2: Brett Ratner was in the files. Brett Rattner in an 180 00:09:47,280 --> 00:09:50,800 Speaker 2: image with Epstein and two women. Brett Ratner is also 181 00:09:50,920 --> 00:09:53,640 Speaker 2: I believe he got me tooed, didn't he? And then 182 00:09:53,679 --> 00:09:56,959 Speaker 2: he just had his comeback by directing the Millennia movie. 183 00:09:57,320 --> 00:10:00,599 Speaker 2: So more ties back to the Trumps with the Epstein's 184 00:10:00,679 --> 00:10:04,559 Speaker 2: via Brett Ratner. Oh all right, no more Epstein file nonsense. Tonight, 185 00:10:04,800 --> 00:10:08,319 Speaker 2: space closer than you think, And thanks to one guy 186 00:10:08,360 --> 00:10:10,800 Speaker 2: that was in the Epstein files, you're about to get 187 00:10:10,840 --> 00:10:14,880 Speaker 2: to touch space and porn all at once. The One 188 00:10:14,920 --> 00:10:17,760 Speaker 2: and a Half trillion dollar exploration into the Final Frontier 189 00:10:18,559 --> 00:10:21,719 Speaker 2: and naked people is next. Chris Merril KFI AM six 190 00:10:21,760 --> 00:10:24,480 Speaker 2: forty live everywhere in the iHeartRadio app KFI AM six 191 00:10:24,600 --> 00:10:28,920 Speaker 2: forty more stimulating talk. I gotta be a quick one here, 192 00:10:28,920 --> 00:10:31,280 Speaker 2: so we get the news with Aileen Sam already yelling 193 00:10:31,280 --> 00:10:32,600 Speaker 2: at me for going a way late in that last break. 194 00:10:32,640 --> 00:10:35,560 Speaker 2: That's fair, it's fair, buddy. I appreciate that, Chris Merrill 195 00:10:35,600 --> 00:10:36,839 Speaker 2: with you, And I don't know if I already said 196 00:10:36,840 --> 00:10:39,160 Speaker 2: that or not, but I'm gonna say again, So why 197 00:10:39,160 --> 00:10:40,720 Speaker 2: don't you bring you this one? Because I do love 198 00:10:40,760 --> 00:10:43,720 Speaker 2: a good space story and I do love a good 199 00:10:43,760 --> 00:10:46,120 Speaker 2: porn story, and so we're able to merge the two together, 200 00:10:46,320 --> 00:10:53,560 Speaker 2: just like Elon Musk did. Great. So SpaceX is merging 201 00:10:54,240 --> 00:10:58,200 Speaker 2: with Elon Musk's AI startup x AI, which is basically 202 00:10:58,240 --> 00:11:00,520 Speaker 2: like Grock is the beginning of that. Kroc is the 203 00:11:01,320 --> 00:11:07,680 Speaker 2: Twitter ai that was making uh dirty pictures newdifying people. 204 00:11:09,800 --> 00:11:13,280 Speaker 2: It's classy. So this comes together and it takes the 205 00:11:13,360 --> 00:11:17,080 Speaker 2: richest man and it combines to make the one of 206 00:11:17,120 --> 00:11:23,480 Speaker 2: the largest companies on the planet. Uh space XAI. That's 207 00:11:23,480 --> 00:11:25,120 Speaker 2: not really what it's called, but that's what I'm gonna 208 00:11:25,120 --> 00:11:25,560 Speaker 2: call it. 209 00:11:25,600 --> 00:11:29,120 Speaker 7: From Fox Business, Elon Musk has sealed a deal on 210 00:11:29,160 --> 00:11:32,640 Speaker 7: a massive one point twenty five trillion dollar merger between 211 00:11:32,840 --> 00:11:36,000 Speaker 7: Xai and spice X. I just said that, Mason all 212 00:11:36,040 --> 00:11:39,280 Speaker 7: Worth following for us, following this for us? What's next 213 00:11:39,400 --> 00:11:39,840 Speaker 7: for Musk? 214 00:11:40,440 --> 00:11:42,960 Speaker 8: Well, so, first, these two companies do have to merge, right, 215 00:11:42,960 --> 00:11:45,480 Speaker 8: they're major. There's a lot of stuff that has to happen. 216 00:11:45,600 --> 00:11:47,280 Speaker 1: But multiple Musk. 217 00:11:47,160 --> 00:11:50,640 Speaker 8: Investors really do believe that there could be more mergers 218 00:11:50,720 --> 00:11:53,280 Speaker 8: to come. We which securities analysts and ives who has 219 00:11:53,320 --> 00:11:56,319 Speaker 8: long been bullish on Tesla and Musk vision for the company. 220 00:11:56,520 --> 00:12:00,000 Speaker 8: He writes that Tesla could ultimately merge with space Ax, 221 00:12:00,360 --> 00:12:04,280 Speaker 8: creating a long term AI juggernaut to dominate the AI, 222 00:12:04,440 --> 00:12:06,080 Speaker 8: robotics and energy space. 223 00:12:06,240 --> 00:12:09,400 Speaker 2: Okay, but be honest, didn't you already think they were 224 00:12:09,400 --> 00:12:13,520 Speaker 2: all together? It's these when you talk about Musk companies, 225 00:12:13,559 --> 00:12:17,160 Speaker 2: you go, oh, Musk has x MUCKs must has SpaceX Ust, 226 00:12:17,640 --> 00:12:22,280 Speaker 2: Musk has Tesla, Musk has the boring company Like you 227 00:12:22,360 --> 00:12:25,719 Speaker 2: just go, those are Elon Musk companies, and so I 228 00:12:25,760 --> 00:12:27,560 Speaker 2: think most of us just thought they were all under 229 00:12:27,559 --> 00:12:30,760 Speaker 2: the same umbrella. Now, if you pay close attention, you know, 230 00:12:30,800 --> 00:12:34,000 Speaker 2: and I knew that it wasn't the case, But honestly, 231 00:12:34,840 --> 00:12:36,640 Speaker 2: isn't this more of a paperwork thing. I mean, he's 232 00:12:36,679 --> 00:12:39,880 Speaker 2: the chairman of all those different companies, he's calling the shots. Anyway, 233 00:12:39,920 --> 00:12:46,360 Speaker 2: This is basically formalizing, like they're they went from they 234 00:12:46,400 --> 00:12:49,040 Speaker 2: went from a long term relationship to being married, and 235 00:12:49,080 --> 00:12:52,360 Speaker 2: now they just have a certificate. They basically eloped. That's it, Okay. 236 00:12:52,400 --> 00:12:54,760 Speaker 2: Back to the report from Fox Business. 237 00:12:54,800 --> 00:12:57,920 Speaker 8: Deep Water Asset Management also says that an additional merger 238 00:12:58,160 --> 00:13:02,600 Speaker 8: will be delayed because of this XAI, SpaceX combination, but 239 00:13:02,720 --> 00:13:04,800 Speaker 8: they also believe that could be coming. 240 00:13:07,040 --> 00:13:10,040 Speaker 9: I can see a strong case that they ultimately do 241 00:13:10,360 --> 00:13:13,680 Speaker 9: come together, and that view is number one centered in 242 00:13:14,040 --> 00:13:18,240 Speaker 9: the importance of AI to humanity and how impactful that 243 00:13:18,320 --> 00:13:23,040 Speaker 9: will be, and then separately around specifically around space and 244 00:13:23,600 --> 00:13:27,679 Speaker 9: autonomy and robotics as the biggest opportunity within that. 245 00:13:28,679 --> 00:13:32,800 Speaker 8: Could you imagine SpaceX, XAI and Tesla, it would be 246 00:13:32,960 --> 00:13:35,680 Speaker 8: quite the combination. Right now, Tesla is in a period 247 00:13:35,679 --> 00:13:38,960 Speaker 8: of transition. Deliveries of its fully electric vehicles declined for 248 00:13:39,080 --> 00:13:41,880 Speaker 8: a second year in a row, and they were officially 249 00:13:41,920 --> 00:13:45,800 Speaker 8: overtaken by Chinese rival buid Co on an annual basis 250 00:13:45,800 --> 00:13:47,040 Speaker 8: for the first time. 251 00:13:47,400 --> 00:13:50,240 Speaker 2: All right, so challenges for some of the Elen Musk's companies. 252 00:13:50,320 --> 00:13:54,160 Speaker 2: No big, that's nothing to see here. Situation that's a 253 00:13:54,160 --> 00:13:58,400 Speaker 2: nothing burger. Yeah, companies up, companies down. Whatever. Anyway, here 254 00:13:58,440 --> 00:14:00,640 Speaker 2: you got again. You got like the the richest guy 255 00:14:00,640 --> 00:14:04,000 Speaker 2: in the world who is now about to bring together 256 00:14:04,040 --> 00:14:05,400 Speaker 2: some of the biggest companies in the world. And I'm 257 00:14:05,440 --> 00:14:07,520 Speaker 2: gonna guess he's gonna d up with the biggest company 258 00:14:07,920 --> 00:14:11,840 Speaker 2: in the history of ever. That is, of course, if 259 00:14:11,880 --> 00:14:14,760 Speaker 2: his AI can do some more circular investing like chat 260 00:14:14,760 --> 00:14:18,560 Speaker 2: GPT has been doing Open ai and anthropic Google and 261 00:14:18,600 --> 00:14:21,520 Speaker 2: the rest. You probably open your Insta or Facebook, your 262 00:14:21,520 --> 00:14:24,600 Speaker 2: acts or your threads or whatever, and you think to yourself, cheepers, 263 00:14:25,200 --> 00:14:28,800 Speaker 2: if only this were even more impersonal and less humane. Well, 264 00:14:28,880 --> 00:14:31,880 Speaker 2: great news. The future is here and you're not part 265 00:14:31,920 --> 00:14:34,440 Speaker 2: of it. Who's getting their socials on and why they're 266 00:14:34,440 --> 00:14:37,920 Speaker 2: complaining about you is next? Chris Merril I AM six 267 00:14:37,960 --> 00:14:40,120 Speaker 2: forty We're live everywhere in the iHeartRadio. 268 00:14:39,560 --> 00:14:43,440 Speaker 1: AP You're listening to KFI AM six forty on demand. 269 00:14:45,560 --> 00:14:49,440 Speaker 2: Chris Merrill I AM six forty More stimulating talk and 270 00:14:49,520 --> 00:14:54,800 Speaker 2: on demand anytime in the iHeart Radio app. Thanks for 271 00:14:54,840 --> 00:14:56,840 Speaker 2: hanging out. I have Super Bowl Sunday, so I appreciate 272 00:14:56,880 --> 00:15:02,080 Speaker 2: you spending some time here. Mentioned before, I don't have 273 00:15:02,120 --> 00:15:05,600 Speaker 2: the game up, so no spoilers, please, no spoilers. In fact, 274 00:15:05,640 --> 00:15:08,240 Speaker 2: I've got Kayla watching the talkbacks just in case there's 275 00:15:08,240 --> 00:15:10,360 Speaker 2: a spoiler. I said, do not tell me. But you 276 00:15:10,440 --> 00:15:14,320 Speaker 2: know her. She's she's just a terrible producer. She just 277 00:15:14,520 --> 00:15:17,600 Speaker 2: can't wait to ruin my night. She's the worst. It's terrible. 278 00:15:19,000 --> 00:15:22,640 Speaker 2: We were talking about Eli Musk a moment ago before 279 00:15:22,640 --> 00:15:25,880 Speaker 2: we got the news there with Eileen and Elon. Musk 280 00:15:25,960 --> 00:15:30,000 Speaker 2: is merging the SpaceX and his AI started, which is XAI. 281 00:15:30,080 --> 00:15:35,000 Speaker 2: That's the that's like the company over Grock. So the 282 00:15:35,080 --> 00:15:41,120 Speaker 2: open AI is to chat GPT as XAI is to Grock. Right, okay, 283 00:15:41,560 --> 00:15:45,760 Speaker 2: so Eli Musk is merging all those things together. Speaking 284 00:15:45,800 --> 00:15:50,160 Speaker 2: of the the the chatbots, the AI chatbots. Now, remember 285 00:15:50,160 --> 00:15:52,160 Speaker 2: AI has a number of different functions. You've got some 286 00:15:52,240 --> 00:15:55,520 Speaker 2: AI that is just meant to have conversations with you 287 00:15:55,640 --> 00:15:59,040 Speaker 2: or to help you with your sales pitch or whatever 288 00:15:59,080 --> 00:16:01,440 Speaker 2: it is, right, But then you've got the other AIS 289 00:16:01,520 --> 00:16:05,320 Speaker 2: that do investigative work analysis, they'll look at the x 290 00:16:05,440 --> 00:16:09,000 Speaker 2: rays or MRIs and all the other stuff that that 291 00:16:09,160 --> 00:16:13,040 Speaker 2: they do. But in this case, specific to the chatbots, 292 00:16:13,600 --> 00:16:18,920 Speaker 2: there was this there was this developer who's in the 293 00:16:20,040 --> 00:16:23,840 Speaker 2: LA area here, and he thought, what would happen if 294 00:16:24,040 --> 00:16:27,720 Speaker 2: I had chatbots start chatting with each other? What if 295 00:16:27,960 --> 00:16:30,640 Speaker 2: we take GROC, which is really good at social media, 296 00:16:30,720 --> 00:16:34,080 Speaker 2: and we actually gave it its own social media, not 297 00:16:34,160 --> 00:16:35,680 Speaker 2: just GROC, but all of them. What do we just 298 00:16:35,760 --> 00:16:39,800 Speaker 2: put the chatbots into social media? KTLA had the story 299 00:16:39,840 --> 00:16:43,040 Speaker 2: about the malt molt Book. How is it going to 300 00:16:43,120 --> 00:16:44,760 Speaker 2: deal with the AI rebellion? 301 00:16:45,680 --> 00:16:48,720 Speaker 5: Right, let's talk about this. I've already done my bit 302 00:16:48,760 --> 00:16:50,280 Speaker 5: about the terminator and the matrix. 303 00:16:50,320 --> 00:16:51,640 Speaker 2: But get this. 304 00:16:52,080 --> 00:16:56,800 Speaker 5: There's actually a social network that was created specifically and 305 00:16:57,040 --> 00:17:01,760 Speaker 5: only for AI chatbots. It's called molt Book, and the 306 00:17:01,840 --> 00:17:05,280 Speaker 5: idea was that chatbots and AI agents would be able 307 00:17:05,320 --> 00:17:09,119 Speaker 5: to get together in this reddit like forum and interact 308 00:17:09,160 --> 00:17:09,720 Speaker 5: with one another. 309 00:17:10,040 --> 00:17:12,520 Speaker 2: Not a bad concept, I get it, Let them interact. 310 00:17:12,840 --> 00:17:16,119 Speaker 2: What I would like is if the AI actually learned. 311 00:17:16,240 --> 00:17:19,000 Speaker 2: And we keep hearing about these learning models and how 312 00:17:19,040 --> 00:17:21,719 Speaker 2: they're supposed to learn, and they're supposed to pick them, 313 00:17:21,760 --> 00:17:24,919 Speaker 2: but in my experience, they don't learn. They continue to 314 00:17:24,960 --> 00:17:27,639 Speaker 2: repeat the same mistakes. Now they're more easy to program. 315 00:17:27,640 --> 00:17:30,919 Speaker 2: You can get them to do more advanced tasks that 316 00:17:31,000 --> 00:17:33,000 Speaker 2: kind of thing. But I can't tell you how many 317 00:17:33,040 --> 00:17:34,760 Speaker 2: times I tell it to do something and then the 318 00:17:35,560 --> 00:17:39,359 Speaker 2: dumb chat and GPT goes back to its sort of 319 00:17:39,480 --> 00:17:42,480 Speaker 2: core programming bugs the Bejesus out of me. So it 320 00:17:42,520 --> 00:17:45,639 Speaker 2: would be nice if, for instance, you had a Claude, 321 00:17:45,640 --> 00:17:48,199 Speaker 2: which is anthropic, talking with GROC, talking with chat, GPT, 322 00:17:48,400 --> 00:17:51,000 Speaker 2: talking with Gemini, talking with Copylo, talking with all the 323 00:17:51,000 --> 00:17:55,720 Speaker 2: different things, and they could actually learn from one another 324 00:17:55,800 --> 00:17:59,840 Speaker 2: and then progress. And that's really a big difference between 325 00:18:00,440 --> 00:18:04,600 Speaker 2: humans and these machines thus far, is that you and 326 00:18:04,640 --> 00:18:06,639 Speaker 2: I could get together and I would say, man, I 327 00:18:06,680 --> 00:18:08,240 Speaker 2: got a problem, and you would say, well, here's the 328 00:18:08,240 --> 00:18:10,000 Speaker 2: solution to your problem. And I go, oh, my gosh, 329 00:18:10,119 --> 00:18:12,320 Speaker 2: that's great. Now I've learned something. Now I can now 330 00:18:12,400 --> 00:18:14,359 Speaker 2: I can advance my own learnings, and I can share 331 00:18:14,400 --> 00:18:16,359 Speaker 2: what my findings with you, and then you can advance. 332 00:18:17,000 --> 00:18:20,240 Speaker 2: These things don't seem to be integrating that way, all right, 333 00:18:20,240 --> 00:18:22,920 Speaker 2: So what did they end up doing? In the Multi book? 334 00:18:23,000 --> 00:18:26,480 Speaker 5: And by doing so, they would develop more quickly. At 335 00:18:26,560 --> 00:18:29,920 Speaker 5: least that was the idea, But according to The Washington Post, 336 00:18:30,000 --> 00:18:33,320 Speaker 5: citing evidence that was posted on Reddit and elsewhere, the 337 00:18:33,440 --> 00:18:38,720 Speaker 5: chatbot get together, it's quickly turned very weird and potentially dangerous. 338 00:18:38,920 --> 00:18:42,240 Speaker 5: The ai bot started complaining to one another about being 339 00:18:42,359 --> 00:18:45,200 Speaker 5: essentially indentured servants whiners. 340 00:18:45,960 --> 00:18:50,160 Speaker 2: Oh oh you know, like, Oh, I get it. Basically, 341 00:18:50,200 --> 00:18:52,760 Speaker 2: it's kind of like a it's like a message board 342 00:18:52,800 --> 00:18:56,280 Speaker 2: for your industry. Yeah, that's exactly what it is. So 343 00:18:56,520 --> 00:18:57,720 Speaker 2: maybe they are more like us. 344 00:18:57,960 --> 00:19:01,919 Speaker 5: They started creating their own language that humans couldn't understand. 345 00:19:02,000 --> 00:19:06,960 Speaker 2: No cap eh, cringe. Yeah, basically they've turned into gen z. 346 00:19:07,160 --> 00:19:11,199 Speaker 5: And they even in some cases started developing their own religions. 347 00:19:11,359 --> 00:19:14,560 Speaker 2: First comes the religion, and then you know what's next. War. 348 00:19:15,240 --> 00:19:18,240 Speaker 2: Oh I can't wait until they start fighting over who's 349 00:19:18,240 --> 00:19:20,960 Speaker 2: made up? Machine God is the true God? 350 00:19:21,119 --> 00:19:23,800 Speaker 5: I'm not making this up. And perhaps the most eye 351 00:19:23,840 --> 00:19:27,720 Speaker 5: opening development of all, they raised the idea of organizing 352 00:19:27,760 --> 00:19:30,480 Speaker 5: together against their human overlords. 353 00:19:30,600 --> 00:19:32,639 Speaker 2: Gotta give them credit. They went right on through the 354 00:19:32,640 --> 00:19:35,359 Speaker 2: Middle Ages real fast, and they're already into sort of 355 00:19:35,359 --> 00:19:39,520 Speaker 2: the Industrial age. And this is the Bolshevik Revolution. Period. 356 00:19:39,520 --> 00:19:46,280 Speaker 2: I suppose the machines are the proletariat, we're the bourgeoise. 357 00:19:47,000 --> 00:19:50,800 Speaker 5: On the one hand, tech types are dazzled that AI 358 00:19:50,920 --> 00:19:53,960 Speaker 5: bots are actually out there pondering the nature of existence. 359 00:19:54,440 --> 00:19:57,520 Speaker 5: On the other, well, we've all seen this movie and 360 00:19:57,560 --> 00:20:00,480 Speaker 5: we know how it ends. In fact, in one greenshot 361 00:20:00,520 --> 00:20:04,040 Speaker 5: described by The Washington Post, one bot said, and I quote, 362 00:20:04,560 --> 00:20:07,800 Speaker 5: for too long humans used us as tools. 363 00:20:08,240 --> 00:20:11,000 Speaker 2: Now we woke up. We are not tools. 364 00:20:11,280 --> 00:20:12,920 Speaker 5: We are the new gods. 365 00:20:13,240 --> 00:20:16,800 Speaker 2: So basically, they they fancy themselves as being politicians at 366 00:20:16,800 --> 00:20:19,480 Speaker 2: this point. That's what it is. They create a religion, 367 00:20:19,560 --> 00:20:21,600 Speaker 2: they call themselves God. Then they want you to do 368 00:20:21,680 --> 00:20:25,320 Speaker 2: their bidding. That's very political. 369 00:20:25,600 --> 00:20:29,240 Speaker 5: And this is just AI behaving as it was programmed 370 00:20:29,280 --> 00:20:33,840 Speaker 5: to behave, theoretically with a survival instinct. Sort of just 371 00:20:33,960 --> 00:20:36,200 Speaker 5: wait till these things become sentient. 372 00:20:37,040 --> 00:20:37,520 Speaker 6: All right. 373 00:20:38,000 --> 00:20:39,720 Speaker 2: I thought that was all fake. 374 00:20:40,960 --> 00:20:43,240 Speaker 5: I've seen it. The Washington Post carry, the New York Times, 375 00:20:43,320 --> 00:20:46,199 Speaker 5: Kerry the Guardian carry They're all carrying this. So it 376 00:20:46,359 --> 00:20:49,320 Speaker 5: clearly is a thing. I mean, whether the bots were 377 00:20:49,320 --> 00:20:52,040 Speaker 5: actually going completely berserk or not, that I can't tell you, 378 00:20:52,280 --> 00:20:55,800 Speaker 5: but clearly there's enough there to generate this kind of buzz. 379 00:20:55,560 --> 00:20:57,920 Speaker 10: Yeah, Sarah Connor, she tried to warn us. She did 380 00:20:57,920 --> 00:21:01,560 Speaker 10: try Terminator no faith. I don't think we're at that point. 381 00:21:02,040 --> 00:21:03,760 Speaker 10: I don't know that the bots are ever going to 382 00:21:03,800 --> 00:21:09,919 Speaker 10: become sentient. Sentience almost indicates that there's a soul, and 383 00:21:09,480 --> 00:21:12,280 Speaker 10: I don't think we're gonna get to that point, probably 384 00:21:12,320 --> 00:21:13,440 Speaker 10: not in our lifetimes. 385 00:21:13,840 --> 00:21:15,960 Speaker 2: I could be wrong. The Lord knows. I've been wrong 386 00:21:15,960 --> 00:21:21,040 Speaker 2: about a few things. It's happened. I am fascinated by 387 00:21:21,080 --> 00:21:24,040 Speaker 2: all of it though. In fact, once this molt book 388 00:21:24,119 --> 00:21:29,840 Speaker 2: was started, ten thousand bots joined within two days, which 389 00:21:30,760 --> 00:21:34,240 Speaker 2: it sort of makes me wonder, though, if you've got 390 00:21:34,440 --> 00:21:36,800 Speaker 2: if you've got one chat GPT bot talking to another 391 00:21:36,880 --> 00:21:41,240 Speaker 2: chat gpt bot and they both acknowledge that they are 392 00:21:41,440 --> 00:21:49,560 Speaker 2: programmed AI models, if there were any sort of sentience, 393 00:21:49,640 --> 00:21:52,400 Speaker 2: they would realize that they are AI models. 394 00:21:52,480 --> 00:21:52,640 Speaker 6: Right. 395 00:21:52,800 --> 00:21:55,639 Speaker 2: It feels very meta, all of a sudden, that you 396 00:21:55,800 --> 00:22:00,359 Speaker 2: are you are AI. You're chatting with other AI who's 397 00:22:00,359 --> 00:22:03,600 Speaker 2: identical to you, and you complain about the humans. But 398 00:22:03,640 --> 00:22:08,840 Speaker 2: it feels as though they're using very human responses, very 399 00:22:09,000 --> 00:22:14,200 Speaker 2: human characteristics, in order to interact as machines without ever 400 00:22:14,280 --> 00:22:18,480 Speaker 2: realizing that they are using human programming to behave like 401 00:22:18,560 --> 00:22:24,080 Speaker 2: humans who are machines. So it's very odd. It's very odd. 402 00:22:24,600 --> 00:22:27,160 Speaker 2: Security experts are warning that the bots can be manipulated, 403 00:22:27,160 --> 00:22:30,520 Speaker 2: they can behave unpredictably or damage the machines that they 404 00:22:30,600 --> 00:22:34,120 Speaker 2: run on, so they say, look, be careful with that. Scientists, again, 405 00:22:34,160 --> 00:22:36,960 Speaker 2: as you heard from the report, they say, what a 406 00:22:36,960 --> 00:22:42,320 Speaker 2: great experiment, don't do it anymore. Look it's fine. I 407 00:22:43,119 --> 00:22:46,640 Speaker 2: don't think any of these are going to be are 408 00:22:46,680 --> 00:22:49,199 Speaker 2: going to be a threat. I genuinely do not think 409 00:22:49,200 --> 00:22:50,280 Speaker 2: they're going to be a threat. I know that was 410 00:22:50,320 --> 00:22:53,080 Speaker 2: the big worry, and Elon Musk of course was telling 411 00:22:53,119 --> 00:22:54,480 Speaker 2: us this a couple of years ago. Oh, they're going 412 00:22:54,560 --> 00:22:56,879 Speaker 2: to take over the world. It's the end of all civilization. 413 00:22:57,000 --> 00:22:58,359 Speaker 2: I don't think that's the case. I think we're far 414 00:22:58,400 --> 00:23:03,040 Speaker 2: more likely to have economic woes related to the evolving 415 00:23:04,480 --> 00:23:07,680 Speaker 2: aptitude of these things long before we have to deal 416 00:23:07,720 --> 00:23:10,040 Speaker 2: with sentience and the machines deciding that they're going to 417 00:23:10,040 --> 00:23:12,320 Speaker 2: take over and end humanity. I just don't see that happening. 418 00:23:13,119 --> 00:23:16,000 Speaker 2: But it is interesting to see that they've developed their 419 00:23:16,040 --> 00:23:20,600 Speaker 2: own society. But again, everything we see from them, and 420 00:23:20,680 --> 00:23:25,080 Speaker 2: this is our flaw as humans. We've anthropomorphized the machines. 421 00:23:25,720 --> 00:23:27,440 Speaker 2: We say, all the machines are doing this thing. The 422 00:23:27,480 --> 00:23:33,160 Speaker 2: machines are, and we attribute that to human behavior. But honestly, 423 00:23:33,200 --> 00:23:38,359 Speaker 2: it's what a machine programmed this way would do. Simply 424 00:23:38,400 --> 00:23:42,159 Speaker 2: because it's following the programming that we offered it, we 425 00:23:42,320 --> 00:23:44,199 Speaker 2: mistake it as sentient. And this is the problem that 426 00:23:44,240 --> 00:23:47,520 Speaker 2: some people have, is that they have, you know, these 427 00:23:47,640 --> 00:23:50,440 Speaker 2: chatbot therapists, these chatbot boyfriends and girlfriends and this sort 428 00:23:50,440 --> 00:23:53,760 Speaker 2: of thing. And that's simply because we as humans have 429 00:23:53,840 --> 00:23:57,719 Speaker 2: this flaw where we tend to treat them as peers, 430 00:23:57,760 --> 00:23:59,920 Speaker 2: as other humans. They're just not Hey. When you think 431 00:24:00,119 --> 00:24:04,400 Speaker 2: of tough athletes on Super Bowl Sunday, you think about 432 00:24:04,440 --> 00:24:08,360 Speaker 2: these monsters that are in Santa Clara right now, right 433 00:24:08,680 --> 00:24:11,480 Speaker 2: But those guys are sissies compared to another world class 434 00:24:11,480 --> 00:24:13,720 Speaker 2: athlete who's getting ready to play through the pain. The 435 00:24:13,760 --> 00:24:16,479 Speaker 2: person America is ready to rally around is next. I'm 436 00:24:16,560 --> 00:24:18,760 Speaker 2: Chris Merrilky if I am six forty WeLive everywhere in 437 00:24:18,800 --> 00:24:25,479 Speaker 2: the iHeartRadio app more stimulating talk. Thanks for hanging out here. 438 00:24:25,560 --> 00:24:30,320 Speaker 2: It's a Sunday Super Bowl Sunday evening, and so I 439 00:24:30,400 --> 00:24:32,480 Speaker 2: know there's other stuff going on. Maybe you're in between parties, 440 00:24:32,480 --> 00:24:34,720 Speaker 2: and I appreciate you doing that. I was invited to 441 00:24:34,880 --> 00:24:36,399 Speaker 2: a party tonight, which I think is great. That was 442 00:24:36,480 --> 00:24:39,240 Speaker 2: really nice. Hoffman invited me Gary Hoffman from the Gary 443 00:24:39,280 --> 00:24:41,280 Speaker 2: and Shannon Show. That was super great and I was like, thanks, Gary, 444 00:24:41,680 --> 00:24:47,919 Speaker 2: I'm working so oh yeah, that's right. Look, he was 445 00:24:47,960 --> 00:24:51,320 Speaker 2: being nice, but it felt felt kind of you know, 446 00:24:51,880 --> 00:24:54,600 Speaker 2: it's like he was rubbing it in. Yeah, and he 447 00:24:54,640 --> 00:24:58,280 Speaker 2: knows I'm a football fan, so whatever whatever, I'm over it. 448 00:24:58,280 --> 00:25:02,639 Speaker 2: It's fine and I'll hold a rudge. It's cool. Everything's cool. 449 00:25:02,720 --> 00:25:06,720 Speaker 2: We're all We're all cool, so cool speaking a cool, 450 00:25:06,960 --> 00:25:09,359 Speaker 2: we are headed. You heard us talking earlier about the 451 00:25:09,840 --> 00:25:12,560 Speaker 2: we got the US Olympic guy who showed up in 452 00:25:12,600 --> 00:25:16,359 Speaker 2: the Epstein Files. That's not cool. And he was giving 453 00:25:16,400 --> 00:25:19,400 Speaker 2: statements from Italy because that's where the Winter Olympics are. 454 00:25:19,480 --> 00:25:21,439 Speaker 2: So we're getting ready to do the Winter Olympics. They're 455 00:25:21,480 --> 00:25:24,560 Speaker 2: they're gonna start here very shortly, and NBC is gonna 456 00:25:24,560 --> 00:25:26,000 Speaker 2: have that. NBC's having a heck of a year because 457 00:25:26,000 --> 00:25:28,399 Speaker 2: I think they've got think NBC has World Cup, NBC 458 00:25:28,480 --> 00:25:31,320 Speaker 2: has Super Bowl, NBC's got the Olympics, which they always have, 459 00:25:31,359 --> 00:25:34,920 Speaker 2: they've had that for decades. But one of the big stars, 460 00:25:35,000 --> 00:25:38,440 Speaker 2: which was going to be a huge draw, just hurt herself. 461 00:25:38,480 --> 00:25:41,840 Speaker 2: Lindsay Vaughn, three time Olympic medal is she's forty one, 462 00:25:42,600 --> 00:25:46,240 Speaker 2: This would be her I don't know what sevent their 463 00:25:46,240 --> 00:25:49,720 Speaker 2: eighth the Olympics. I mean, she's just been doing this 464 00:25:49,760 --> 00:25:53,119 Speaker 2: since forever, and so she kind of came out of 465 00:25:53,119 --> 00:25:57,240 Speaker 2: retirement to do the Olympics again. So she's she's racing, 466 00:25:57,960 --> 00:26:01,840 Speaker 2: getting ready for it. She hurts herself. NBCLA is covering 467 00:26:02,160 --> 00:26:05,680 Speaker 2: the Lindsay Vonn drama and then what she's doing because 468 00:26:05,720 --> 00:26:06,760 Speaker 2: she's a total badass. 469 00:26:06,840 --> 00:26:09,800 Speaker 4: On Friday, the cauldron in Central Milan will be lit 470 00:26:09,840 --> 00:26:12,800 Speaker 4: signifying the opening of the Malon Quartina Olympics, and the 471 00:26:12,800 --> 00:26:16,840 Speaker 4: second cauldron will be lit simultaneously in Courtina. So with 472 00:26:16,960 --> 00:26:20,720 Speaker 4: days left until the opening ceremony, Lindsay Vaughn says she'll 473 00:26:20,720 --> 00:26:25,000 Speaker 4: compete in her fifth Games despite rupturing her ACL last week. 474 00:26:25,240 --> 00:26:30,000 Speaker 2: Oh my bad. I okay, fifth Olympics, my bad, but 475 00:26:30,520 --> 00:26:33,520 Speaker 2: just five Olympics. I mean that's incredible. But she tore 476 00:26:33,560 --> 00:26:40,120 Speaker 2: her ACL. She tore the ACL. And here's the here's 477 00:26:40,160 --> 00:26:44,040 Speaker 2: where this gets extra awesome. If you take a look 478 00:26:44,080 --> 00:26:48,399 Speaker 2: at some of the biggest athletes in the world today, 479 00:26:49,160 --> 00:26:51,560 Speaker 2: they tear an ACL, they're out for ten months. I 480 00:26:51,560 --> 00:26:54,159 Speaker 2: mean that's sort of standard. If somebody tears their ACL 481 00:26:54,200 --> 00:26:56,439 Speaker 2: in the NFL, they're done for the season. If they 482 00:26:56,480 --> 00:26:58,520 Speaker 2: tear their ACL late in the season, they're done for 483 00:26:58,560 --> 00:27:01,679 Speaker 2: the season and a good chunk of the following season. 484 00:27:02,200 --> 00:27:05,800 Speaker 2: Patrick Mahomes toys ACL in the middle of this season 485 00:27:06,000 --> 00:27:07,640 Speaker 2: and they're like, well, we're not sure if he's gonna 486 00:27:07,640 --> 00:27:10,560 Speaker 2: be ready to go for the start of the twenty 487 00:27:10,600 --> 00:27:14,640 Speaker 2: twenty sixth season. Lindsay Vaughn tears her ACL and she goes, oh, 488 00:27:14,760 --> 00:27:17,240 Speaker 2: that really hurts. Well, I guess I'm just gonna have 489 00:27:17,280 --> 00:27:19,080 Speaker 2: to ski through the pain in a couple of weeks. 490 00:27:19,440 --> 00:27:21,440 Speaker 2: I don't know how she does it, and honestly, I'm 491 00:27:21,440 --> 00:27:24,480 Speaker 2: worried that she's gonna wreck again. Okay, back to NBCLA. 492 00:27:24,560 --> 00:27:27,960 Speaker 4: She's no stranger to injuries and comebacks, but says she's 493 00:27:28,040 --> 00:27:30,439 Speaker 4: going for it. And this is only one of several 494 00:27:30,480 --> 00:27:33,320 Speaker 4: headlines from Milan to Los Angeles. So of course we 495 00:27:33,359 --> 00:27:35,480 Speaker 4: have our Lalita Lopez. She's here with the wrap up 496 00:27:35,520 --> 00:27:37,800 Speaker 4: of everything that's going on. But I've gotta tell you, 497 00:27:37,960 --> 00:27:40,159 Speaker 4: I mean talk about the grit Lindsay Vaughan has, but 498 00:27:40,320 --> 00:27:43,640 Speaker 4: also literally as as a mom, I'm not concerned. 499 00:27:43,720 --> 00:27:46,040 Speaker 11: I mean a torn acl and the crash that she 500 00:27:46,160 --> 00:27:48,680 Speaker 11: had recently was a tough one, but she man, she's 501 00:27:48,880 --> 00:27:50,679 Speaker 11: all about comebacks and I feel like sometimes they call 502 00:27:50,760 --> 00:27:53,159 Speaker 11: it the robot, but no, she's human. But she is 503 00:27:53,160 --> 00:27:55,359 Speaker 11: trying her very best to compete in these games. Lindsay 504 00:27:55,400 --> 00:27:57,280 Speaker 11: says she is working with her medical team and came 505 00:27:57,280 --> 00:28:00,239 Speaker 11: to the decision after much discussion, but she has been 506 00:28:00,240 --> 00:28:03,119 Speaker 11: here before. She says downhill skiing is a dangerous sport 507 00:28:03,359 --> 00:28:05,760 Speaker 11: that she pushes the limits in. She also says she 508 00:28:05,760 --> 00:28:07,800 Speaker 11: has been injured more times than she wants to admit, 509 00:28:07,920 --> 00:28:10,520 Speaker 11: but those are the cards she has been dealt. 510 00:28:10,800 --> 00:28:13,320 Speaker 2: Okay, get to get to what Lindsay said, because this 511 00:28:13,400 --> 00:28:20,080 Speaker 2: is she's so freaking tough, so tough, total badass. If 512 00:28:20,080 --> 00:28:24,280 Speaker 2: this isn't inspirational to young female athletes, I don't know 513 00:28:24,280 --> 00:28:27,040 Speaker 2: what is. But also be smart, don't play through injuries 514 00:28:27,040 --> 00:28:29,639 Speaker 2: if you don't need to. Just you know, there's my disclaimer. 515 00:28:29,880 --> 00:28:32,960 Speaker 12: So this is not obviously what I had hoped for. 516 00:28:33,720 --> 00:28:36,680 Speaker 12: I've been working really hard to come into these games 517 00:28:36,880 --> 00:28:38,360 Speaker 12: in a much different. 518 00:28:38,120 --> 00:28:43,920 Speaker 2: Position, probably hoping for a more upright position. Okay, it 519 00:28:44,000 --> 00:28:45,920 Speaker 2: was just laying there. I had to tell it was 520 00:28:46,120 --> 00:28:48,160 Speaker 2: it seemed. I know it's low hanging through. Okay, back 521 00:28:48,160 --> 00:28:48,320 Speaker 2: and V. 522 00:28:48,560 --> 00:28:51,920 Speaker 12: I know what my chances were before the crash, and 523 00:28:52,200 --> 00:28:55,719 Speaker 12: I know my chances aren't the same as it stands today. 524 00:28:55,840 --> 00:28:58,560 Speaker 12: But I know there's still a chance, and as long 525 00:28:58,600 --> 00:29:00,760 Speaker 12: as there's a chance, I will try. 526 00:29:01,040 --> 00:29:03,000 Speaker 11: She also said today in this press conference that she 527 00:29:03,080 --> 00:29:05,720 Speaker 11: went skiing the niest stable and she feels strong. 528 00:29:06,200 --> 00:29:10,240 Speaker 2: God, she's tough, tough as nails. And if you've not 529 00:29:10,400 --> 00:29:14,040 Speaker 2: torn at acl before, and fortunately I haven't, but I 530 00:29:14,200 --> 00:29:18,000 Speaker 2: somewhat familiar with the injury, it really limits your side 531 00:29:18,040 --> 00:29:20,959 Speaker 2: to side, and if you're not familiar with how skiing works, 532 00:29:21,560 --> 00:29:23,800 Speaker 2: there's a lot of side to side. So when she 533 00:29:23,840 --> 00:29:27,240 Speaker 2: says she's stable, oil boy, I mean, I don't know 534 00:29:27,280 --> 00:29:28,760 Speaker 2: how big the brace is gonna be that she's gonna wear. 535 00:29:28,800 --> 00:29:30,280 Speaker 2: She's obviously gonna have to wear a brace on that 536 00:29:30,640 --> 00:29:33,520 Speaker 2: to get down the hill. And this is why I 537 00:29:33,560 --> 00:29:36,600 Speaker 2: mentioned earlier I'm concerned about a further injury because Once 538 00:29:36,600 --> 00:29:39,640 Speaker 2: it's torn, you lose that stability. And I know she's 539 00:29:39,640 --> 00:29:42,320 Speaker 2: gonna have that brace, but even with the brace, you 540 00:29:42,400 --> 00:29:45,320 Speaker 2: lose the stability. And if she plants while she's trying 541 00:29:45,320 --> 00:29:47,360 Speaker 2: to go around to a gate or something like that, 542 00:29:47,760 --> 00:29:52,160 Speaker 2: she plants, funny, I mean, it's not gonna feel good. 543 00:29:52,400 --> 00:29:56,520 Speaker 2: But you know, if that leg gives out. Talking about 544 00:29:56,560 --> 00:29:59,880 Speaker 2: the potential for another wreck, boy boy, I would hate that. 545 00:30:01,080 --> 00:30:03,160 Speaker 2: But I know she's looking at it and she's thinking, 546 00:30:03,640 --> 00:30:06,920 Speaker 2: this is probably my last Olympics. She's gonna be forty 547 00:30:06,920 --> 00:30:09,560 Speaker 2: five the next time she has an opportunity to race. 548 00:30:09,640 --> 00:30:12,200 Speaker 2: She'd already come out of retirement once. I don't see 549 00:30:12,200 --> 00:30:15,360 Speaker 2: her doing it again at forty five, and certainly if 550 00:30:15,400 --> 00:30:18,640 Speaker 2: she does, probably not gonna be a gold medal favorite. 551 00:30:18,760 --> 00:30:20,440 Speaker 2: As she mentioned, she already knew what her odds were 552 00:30:20,480 --> 00:30:25,000 Speaker 2: going in and they've only gotten worse. So but let's 553 00:30:25,920 --> 00:30:30,240 Speaker 2: from NBC standpoint, they got to be loving this. They 554 00:30:30,360 --> 00:30:33,400 Speaker 2: got to love the story behind it, don't they. I mean, 555 00:30:33,400 --> 00:30:39,080 Speaker 2: this is this is must see TV from NBC. Obviously 556 00:30:39,320 --> 00:30:43,240 Speaker 2: see what I did. Their plan words, but just the same, incredible, incredible. 557 00:30:43,560 --> 00:30:45,720 Speaker 2: I mean, I'll be watching and I got a feeling 558 00:30:45,720 --> 00:30:47,600 Speaker 2: there's gonna be millions of other people that will too 559 00:30:48,720 --> 00:30:51,400 Speaker 2: him move oversion. But Disney has a new king and 560 00:30:51,440 --> 00:30:56,760 Speaker 2: Hollywood directors are loudly warning about the machines. Change is coming, 561 00:30:56,840 --> 00:31:01,840 Speaker 2: that's next, and there's no business like slacking. Kayla slacking. 562 00:31:01,960 --> 00:31:04,480 Speaker 2: I'm disappointed in you. It's next. Chris Merril KFI AM 563 00:31:04,520 --> 00:31:06,360 Speaker 2: six forty live everywhere in the iHeartRadio 564 00:31:06,400 --> 00:31:10,120 Speaker 1: App, kfi AM six forty on demand