1 00:00:00,360 --> 00:00:00,880 Speaker 1: It's k IF. 2 00:00:00,920 --> 00:00:03,960 Speaker 2: I am six forty and you're listening to the Conway 3 00:00:04,040 --> 00:00:07,040 Speaker 2: Show on demand on the iHeartRadio app. 4 00:00:08,800 --> 00:00:12,920 Speaker 3: And somebody wanted me to replay the Kim Malke audio 5 00:00:12,960 --> 00:00:15,120 Speaker 3: and what she thinks about Caitlyn Clark. 6 00:00:14,800 --> 00:00:19,360 Speaker 1: And ah, right on, nothing going on. Here we go. 7 00:00:19,720 --> 00:00:22,640 Speaker 3: Kim Malky's the coach of LSU and she had this 8 00:00:22,680 --> 00:00:26,520 Speaker 3: to say about Caitlin Clark after they defeated IOWA in 9 00:00:26,720 --> 00:00:32,600 Speaker 3: the women's match, Mardness Match, March Madness thing doing with you? 10 00:00:33,800 --> 00:00:39,400 Speaker 4: I said, I sure, am glad you leave him. I said, girl, 11 00:00:39,479 --> 00:00:42,199 Speaker 4: you something else. You never see anything like it. 12 00:00:43,720 --> 00:00:47,240 Speaker 1: That's great. I'm sure glad you leave him. But YouTube 13 00:00:47,479 --> 00:00:51,720 Speaker 1: is number one, number one now ding dong with YouTube. 14 00:00:51,440 --> 00:00:54,440 Speaker 5: Silicon Valley is getting greener. YouTube is now the world's 15 00:00:54,600 --> 00:00:59,120 Speaker 5: largest media giant. According to the media research firm Muffett Nathanson, 16 00:00:59,600 --> 00:01:02,680 Speaker 5: YouTube you brought in more than forty billion dollars in 17 00:01:02,760 --> 00:01:06,600 Speaker 5: AD revenue last year. That's four billion dollars more than 18 00:01:06,640 --> 00:01:10,160 Speaker 5: the year before. At the same time, traditional media companies saw. 19 00:01:10,120 --> 00:01:11,080 Speaker 1: There lost money. 20 00:01:11,600 --> 00:01:16,000 Speaker 3: But here's so as of January of twenty twenty four, 21 00:01:16,360 --> 00:01:21,240 Speaker 3: so nearly two years ago, YouTube had two point seven 22 00:01:21,720 --> 00:01:29,600 Speaker 3: billion monthly active users billion, and there are over well 23 00:01:29,640 --> 00:01:34,280 Speaker 3: YouTube does not publicly disclose this number. They estimate that 24 00:01:34,760 --> 00:01:41,759 Speaker 3: there are over fourteen billion publicly visible videos on the platform, 25 00:01:42,480 --> 00:01:46,120 Speaker 3: and the number goes up by over five hundred hours 26 00:01:46,160 --> 00:01:51,920 Speaker 3: of video every minute, every single minute, there's five hundred videos, 27 00:01:52,040 --> 00:01:56,440 Speaker 3: five hundred hours worth of video that goes up. You 28 00:01:56,480 --> 00:02:01,120 Speaker 3: could never watch all the video on youtub even if 29 00:02:01,160 --> 00:02:03,040 Speaker 3: it was sped up by one hundred times. 30 00:02:03,080 --> 00:02:04,120 Speaker 1: You could never look at it all. 31 00:02:05,320 --> 00:02:09,720 Speaker 3: But can you imagine how large the computers are and 32 00:02:09,760 --> 00:02:12,800 Speaker 3: how big the server, you know, the servers are to 33 00:02:12,919 --> 00:02:14,720 Speaker 3: hold that much material. 34 00:02:14,800 --> 00:02:16,720 Speaker 1: I always think of that when I see the servers 35 00:02:16,720 --> 00:02:19,320 Speaker 1: in r yeah area, and like, can you imagine YouTube 36 00:02:19,400 --> 00:02:21,680 Speaker 1: just it's got to be a whole farm, I mean, 37 00:02:21,760 --> 00:02:22,480 Speaker 1: just right. 38 00:02:22,520 --> 00:02:26,640 Speaker 3: We have probably six or seven rows of computers racked 39 00:02:26,720 --> 00:02:29,560 Speaker 3: up for these you know stations here at iHeart, but 40 00:02:29,600 --> 00:02:32,880 Speaker 3: we don't even archive that much. There's very little, if 41 00:02:32,919 --> 00:02:36,600 Speaker 3: any video. It's mostly just audio, which doesn't take up 42 00:02:36,639 --> 00:02:40,760 Speaker 3: as much space. And it's incredible. I mean, it's got 43 00:02:40,800 --> 00:02:45,120 Speaker 3: to be you know the size of you know, Sofi 44 00:02:45,240 --> 00:02:48,200 Speaker 3: Stadium by twenty times. I don't know where it's all 45 00:02:48,240 --> 00:02:50,960 Speaker 3: kept at least, and it all has to be backed 46 00:02:51,040 --> 00:02:54,120 Speaker 3: up as well in KSE thirty outages and they offer 47 00:02:54,200 --> 00:02:57,680 Speaker 3: like four K yet, so yeah, eight K and all 48 00:02:57,680 --> 00:03:01,280 Speaker 3: that crapp its unreal. Let's talk to you about the 49 00:03:02,200 --> 00:03:09,040 Speaker 3: Fanatics Flag Football Classic at Beimo Stadium, Yes, Saturday, March 50 00:03:09,080 --> 00:03:15,040 Speaker 3: twenty first. Tom Brady will be there, Jalen Hurts, Saquon Barkley, 51 00:03:15,560 --> 00:03:19,200 Speaker 3: Odell Beckham and Joe Burrow, they'll all be there, plus 52 00:03:19,240 --> 00:03:23,280 Speaker 3: the Flag Football national team and they're going to clash 53 00:03:23,600 --> 00:03:27,840 Speaker 3: to crown the true world champ. So it's brought to 54 00:03:27,840 --> 00:03:31,399 Speaker 3: you by Fanatics Studios. Get your tickets now at ticketmaster 55 00:03:31,480 --> 00:03:35,720 Speaker 3: dot com. That's March twenty first at Bimo Stadium, so 56 00:03:35,960 --> 00:03:39,640 Speaker 3: go take a look at that. And also we've got 57 00:03:39,640 --> 00:03:42,920 Speaker 3: another one here. Oh there's a good one, ky. If 58 00:03:42,920 --> 00:03:44,880 Speaker 3: I want to give you a chance to win a 59 00:03:45,000 --> 00:03:48,840 Speaker 3: visit to the Disneyland Resort and make memories that last 60 00:03:48,840 --> 00:03:55,960 Speaker 3: a lifetime during Disneyland Resorts seventieth celebration from Dazzling Entertainment, 61 00:03:56,000 --> 00:03:59,960 Speaker 3: new experiences and festive touches that make every moment fear 62 00:04:00,480 --> 00:04:04,640 Speaker 3: truly special. Happiness is everywhere at the Disneyland Resort, so 63 00:04:04,680 --> 00:04:08,360 Speaker 3: don't miss your chance to be part of something truly unforgettable. 64 00:04:08,520 --> 00:04:10,360 Speaker 3: Keep listening to KFI for your chance to win a 65 00:04:10,400 --> 00:04:13,360 Speaker 3: four pack of one day one park tickets to Disneyland 66 00:04:13,400 --> 00:04:20,520 Speaker 3: Park or Disney California Adventure Park. Some restrictions. Let me see, 67 00:04:20,520 --> 00:04:23,120 Speaker 3: I'm gotta read this correct. Here, pull this up just 68 00:04:23,160 --> 00:04:26,520 Speaker 3: a second. Here, Wait a minute, the disclaimer has been 69 00:04:26,520 --> 00:04:30,600 Speaker 3: folded out. Okay, here it is offering subject restrictions and 70 00:04:30,720 --> 00:04:36,200 Speaker 3: change without notice, and we're giving those away sometime I 71 00:04:36,240 --> 00:04:39,480 Speaker 3: believe next week. So that's gonna be cool. Oh, here 72 00:04:39,480 --> 00:04:42,440 Speaker 3: it is if I just read it. Yes, we're giving 73 00:04:42,480 --> 00:04:45,680 Speaker 3: away on the twentieth. On the twentieth, somebody's gonna win 74 00:04:45,720 --> 00:04:49,160 Speaker 3: the four pack of one day one park tickets at 75 00:04:49,160 --> 00:04:52,720 Speaker 3: Disneyland Park or Disney California Adventure Park. 76 00:04:53,320 --> 00:04:57,240 Speaker 1: And someone's gonna win. Might as well be you, all right. 77 00:04:57,600 --> 00:05:02,320 Speaker 3: There's a list that came out recently of the top 78 00:05:02,760 --> 00:05:08,039 Speaker 3: music videos on MTV and Crozier. You're more into music 79 00:05:08,120 --> 00:05:09,800 Speaker 3: than I am. Let me see if you agree with 80 00:05:09,839 --> 00:05:13,080 Speaker 3: some of these. Take Me on is at number ten, 81 00:05:13,320 --> 00:05:16,919 Speaker 3: at number ten, uhh, take on me, Take on me. 82 00:05:17,040 --> 00:05:20,480 Speaker 3: Oh they've misprinted this. Okay, they misprinted this very good. 83 00:05:20,520 --> 00:05:22,080 Speaker 3: Can they also say take me on in the song? 84 00:05:22,120 --> 00:05:25,320 Speaker 1: Oh they do? Oh, then then it's not the misstic. 85 00:05:26,760 --> 00:05:26,960 Speaker 6: Song. 86 00:05:27,000 --> 00:05:28,920 Speaker 1: No, it's take on me, isn't it? 87 00:05:29,000 --> 00:05:34,240 Speaker 3: Hey Go Me nineteen eighty five, Number ten? That comes 88 00:05:34,279 --> 00:05:45,279 Speaker 3: at number ten. Number nine Doctor Dre's California Love CALIFORNU 89 00:05:46,080 --> 00:05:47,200 Speaker 3: Bump Bump, Bump. 90 00:05:47,560 --> 00:05:49,240 Speaker 1: You could do that. You should go out and do 91 00:05:49,279 --> 00:05:51,520 Speaker 1: all these the top ten, all right? 92 00:05:51,720 --> 00:05:55,480 Speaker 3: Number eight Robert Palmer addicted to love. 93 00:05:55,720 --> 00:05:56,320 Speaker 7: I love him. 94 00:05:56,320 --> 00:05:57,400 Speaker 6: You gonna have to face it. 95 00:05:57,720 --> 00:06:02,520 Speaker 3: You're addicted to love, bo all right? Number seven. Beastie 96 00:06:02,520 --> 00:06:09,520 Speaker 3: Boys Sabotage nineteen ninety four. Beastie Boys sabotage of. 97 00:06:09,640 --> 00:06:11,559 Speaker 1: That number six. 98 00:06:12,720 --> 00:06:14,600 Speaker 3: A group that will be playing at the Rose Bowl 99 00:06:14,680 --> 00:06:18,880 Speaker 3: in the next upcoming weeks or months, Guns. 100 00:06:18,680 --> 00:06:21,560 Speaker 1: N' Roses, Sweet Child Man. 101 00:06:22,320 --> 00:06:26,200 Speaker 3: Yes, that's a great song. That's number six. Number five 102 00:06:26,800 --> 00:06:32,200 Speaker 3: Run dmc Aerosmith Walk This Way, Walk this Way. That 103 00:06:32,240 --> 00:06:38,000 Speaker 3: was huge, it's the best. Number four. Peter Gabriel Sledgehammer 104 00:06:38,600 --> 00:06:41,960 Speaker 3: another great song, all right. Number three is anyone that 105 00:06:42,040 --> 00:06:44,120 Speaker 3: want to take a shot at the top three, You 106 00:06:44,200 --> 00:06:48,000 Speaker 3: get one shot. Stepuche. Let's start with you. You got three 107 00:06:48,040 --> 00:06:51,039 Speaker 3: songs here. I will tell you that two of them 108 00:06:51,640 --> 00:06:57,919 Speaker 3: are male, one of them is a female. I guess 109 00:06:58,600 --> 00:07:01,880 Speaker 3: I'll guess. Artist Michael Jackson, it's exactly right. What song 110 00:07:01,880 --> 00:07:02,440 Speaker 3: are you gonna go with? 111 00:07:02,960 --> 00:07:03,839 Speaker 1: Oh? 112 00:07:04,040 --> 00:07:04,840 Speaker 3: Can I guess? 113 00:07:05,680 --> 00:07:05,960 Speaker 1: After? 114 00:07:06,080 --> 00:07:07,920 Speaker 3: But it's I don't know if you know the rules. 115 00:07:07,920 --> 00:07:09,600 Speaker 3: It's Steph Fusch's time right now. 116 00:07:09,640 --> 00:07:12,560 Speaker 1: I'm gonna help him change. Okay, I'll go, I'll go with. 117 00:07:13,200 --> 00:07:15,600 Speaker 1: You'll be thrilled to get it? Oh, thrill? 118 00:07:17,880 --> 00:07:21,160 Speaker 3: Al right, all right now, Michael Jackson, thrillery nailed it? Okay, 119 00:07:21,200 --> 00:07:24,640 Speaker 3: Now there's two left, all right, Nikki, since you're a 120 00:07:24,680 --> 00:07:27,240 Speaker 3: screaming and scratching here to give on what's going on? 121 00:07:27,400 --> 00:07:29,960 Speaker 1: It's gonna be a Madonna ride. That's right, it's a 122 00:07:30,000 --> 00:07:31,960 Speaker 1: Madonna song. But what song? 123 00:07:33,440 --> 00:07:33,640 Speaker 8: Oh? 124 00:07:33,760 --> 00:07:34,560 Speaker 1: Is it Vogue? 125 00:07:34,600 --> 00:07:39,240 Speaker 3: It's Vogue, that's exactly right, nineteen ninety Vogue, vo Vo 126 00:07:39,480 --> 00:07:41,880 Speaker 3: Vogue and the number three song. I don't think anyone 127 00:07:41,880 --> 00:07:45,920 Speaker 3: will get crozier. You take a shot at here. Oh, 128 00:07:46,160 --> 00:07:48,920 Speaker 3: that's not it very close. Angel Martinez. 129 00:07:50,720 --> 00:07:52,000 Speaker 1: It's a solo artist. 130 00:07:52,480 --> 00:07:56,160 Speaker 3: It's it's a soul. It's a band. 131 00:07:56,480 --> 00:08:02,080 Speaker 1: Oh, but it's a band of men like me. 132 00:08:02,400 --> 00:08:03,400 Speaker 6: I think I guess. 133 00:08:04,920 --> 00:08:12,520 Speaker 1: I guess some boys to men. No, is not good. 134 00:08:13,040 --> 00:08:15,720 Speaker 1: Oh wait, what did you say? Nirvana? Nirvana? 135 00:08:15,840 --> 00:08:17,360 Speaker 3: Wait a minute, let me go back to the list 136 00:08:17,400 --> 00:08:21,160 Speaker 3: here Nirvana, and what is the song? 137 00:08:21,280 --> 00:08:26,080 Speaker 1: Smells like like Teen's ferriits Bob, You nailed it, dude, 138 00:08:26,520 --> 00:08:28,040 Speaker 1: guess that is that? Right? 139 00:08:28,240 --> 00:08:33,040 Speaker 3: Yes, something tells me that that probably isn't true. 140 00:08:33,040 --> 00:08:34,040 Speaker 1: You're really going to guess that? 141 00:08:34,320 --> 00:08:37,240 Speaker 5: I absolutely a thousand percent was going to say, smells 142 00:08:37,240 --> 00:08:38,439 Speaker 5: like Teen's firit Really. 143 00:08:38,559 --> 00:08:41,360 Speaker 1: Yeah, it's iconic, all right? 144 00:08:41,400 --> 00:08:45,120 Speaker 3: So that's the top ten and I think the only 145 00:08:45,200 --> 00:08:47,800 Speaker 3: one they're missing out of that top ten, and it's 146 00:08:47,840 --> 00:08:49,160 Speaker 3: everybody's favorite. 147 00:08:49,800 --> 00:08:50,720 Speaker 1: I can understand. 148 00:08:51,480 --> 00:08:53,640 Speaker 3: Okay, if it's not that, and we gotta take a break. 149 00:08:53,640 --> 00:08:57,400 Speaker 3: If it's If that's not number one, then this song 150 00:08:58,200 --> 00:09:02,160 Speaker 3: has to be. It's my it's my go to, it's 151 00:09:02,200 --> 00:09:06,400 Speaker 3: my go to song in in karaoke, and this has 152 00:09:06,480 --> 00:09:07,840 Speaker 3: gotta be number one. 153 00:09:08,000 --> 00:09:14,559 Speaker 1: By with a bullet, Yes, ma'am. Here we go early 154 00:09:14,800 --> 00:09:17,640 Speaker 1: morning fall and see. 155 00:09:18,760 --> 00:09:24,040 Speaker 9: Visions of the things to be pain and where we've 156 00:09:24,120 --> 00:09:30,960 Speaker 9: held from me? I realize an no, see here we go. 157 00:09:31,040 --> 00:09:36,079 Speaker 9: Everybody go soon inside is painless? 158 00:09:36,080 --> 00:09:38,679 Speaker 1: Where's there be going? He remains us? 159 00:09:39,160 --> 00:09:39,960 Speaker 8: Many change? 160 00:09:40,040 --> 00:09:40,520 Speaker 5: What do you mean? 161 00:09:40,559 --> 00:09:41,520 Speaker 1: And come on back? 162 00:09:41,920 --> 00:09:46,520 Speaker 7: And I can take on it if by please wave 163 00:09:46,600 --> 00:09:48,400 Speaker 7: there's all going, Come on up. 164 00:09:48,400 --> 00:09:51,360 Speaker 1: Beat, let's roll tig dook. 165 00:09:52,240 --> 00:09:55,920 Speaker 10: You're listening to Tim Conway Junior on demand from KFI 166 00:09:56,240 --> 00:09:57,520 Speaker 10: AM six forty. 167 00:09:58,880 --> 00:10:02,680 Speaker 3: The Today Show. You know, they've been very distracted, and 168 00:10:02,760 --> 00:10:04,439 Speaker 3: for a good reason with. 169 00:10:05,600 --> 00:10:07,720 Speaker 1: I'm sorry, shut my microphone off. 170 00:10:08,360 --> 00:10:13,000 Speaker 3: With Nancy Guthrie and Savannah Guthrie and that whole thing. 171 00:10:13,080 --> 00:10:16,440 Speaker 3: I don't know how they've been able to, you know, 172 00:10:16,720 --> 00:10:19,720 Speaker 3: go on and put that show on every day with 173 00:10:20,200 --> 00:10:23,520 Speaker 3: the heartache that probably is in that studio, you know, 174 00:10:23,679 --> 00:10:26,760 Speaker 3: every minute of every day, because she is really well 175 00:10:27,000 --> 00:10:30,480 Speaker 3: loved there, and all of a sudden she became the 176 00:10:30,600 --> 00:10:33,840 Speaker 3: national story for the last month and a half with 177 00:10:33,920 --> 00:10:36,800 Speaker 3: the disappearance of her mom. And yet they put on 178 00:10:36,920 --> 00:10:40,120 Speaker 3: that show every day and had to acknowledge it every 179 00:10:40,200 --> 00:10:42,360 Speaker 3: day and then had to go on every day. And 180 00:10:42,400 --> 00:10:44,839 Speaker 3: it's very difficult to do, very difficult to do. I 181 00:10:44,880 --> 00:10:47,199 Speaker 3: remember when we didn't know where Steph fushe was for 182 00:10:47,320 --> 00:10:50,920 Speaker 3: five hours. It was tough for just that one day 183 00:10:51,240 --> 00:10:53,319 Speaker 3: where we didn't know where you were, you know, had 184 00:10:53,360 --> 00:10:56,679 Speaker 3: to pretend like nothing was wrong until we found you 185 00:10:57,240 --> 00:11:01,120 Speaker 3: at some hospital, you know. But they've been having to 186 00:11:01,160 --> 00:11:04,280 Speaker 3: do this with the national intention every single day. So 187 00:11:04,360 --> 00:11:06,600 Speaker 3: I was watching it and they did this thing that 188 00:11:06,760 --> 00:11:10,319 Speaker 3: I think everybody. It's long, but I think it's it's good, 189 00:11:10,800 --> 00:11:16,160 Speaker 3: and it's called how to spot AI fake videos. Everybody 190 00:11:16,160 --> 00:11:19,839 Speaker 3: thinks they're good at them. But sometimes you you know, 191 00:11:19,960 --> 00:11:24,320 Speaker 3: you'll believe a video that is BS and it's fake. 192 00:11:24,360 --> 00:11:26,280 Speaker 3: And my wife does this to me all the time. 193 00:11:26,920 --> 00:11:28,559 Speaker 3: She'll show me a video and she goes, can you 194 00:11:28,600 --> 00:11:30,559 Speaker 3: believe this video? I go, what is it? She oes, 195 00:11:30,600 --> 00:11:32,640 Speaker 3: Governor knew some shot of baron ate it. I'm like, 196 00:11:34,040 --> 00:11:37,280 Speaker 3: let me look at it again. No, I don't think 197 00:11:37,320 --> 00:11:37,960 Speaker 3: that's true. 198 00:11:38,720 --> 00:11:40,560 Speaker 1: Or another one. Oh, you got to see this? What 199 00:11:40,640 --> 00:11:43,120 Speaker 1: is it? Jen? This woman's seventeen feet tall? 200 00:11:43,280 --> 00:11:45,079 Speaker 3: My god, I don't know. I don't no, no, no, 201 00:11:45,160 --> 00:11:51,800 Speaker 3: let's look deeper into that. But spotting fake AI fakes. 202 00:11:52,080 --> 00:11:54,240 Speaker 3: Let's tell everybody how you do it, because there might 203 00:11:54,280 --> 00:11:56,840 Speaker 3: be some you know, a tool that you could use 204 00:11:57,320 --> 00:12:00,000 Speaker 3: when your relatives send you videos that they think. 205 00:11:59,840 --> 00:12:05,880 Speaker 1: Are real Midnight solos Again, that's a cat playing a clarinet. 206 00:12:07,440 --> 00:12:11,000 Speaker 11: Has your social media feeds started to look a little off? 207 00:12:11,160 --> 00:12:11,319 Speaker 6: Yeah? 208 00:12:12,720 --> 00:12:17,080 Speaker 11: Now, fake celebrity endorsements news reports, doorbell camera footage and 209 00:12:17,200 --> 00:12:20,240 Speaker 11: more that all look real at first wife but have 210 00:12:20,280 --> 00:12:21,520 Speaker 11: a certain eariness. 211 00:12:21,679 --> 00:12:23,120 Speaker 1: Right, How do you know? How do you know if 212 00:12:23,120 --> 00:12:23,600 Speaker 1: they're fake? 213 00:12:23,679 --> 00:12:26,280 Speaker 11: You've seen videos that are a bit more overtly fake, 214 00:12:28,600 --> 00:12:32,199 Speaker 11: like the many clips of animals doing seemingly impossible things. 215 00:12:32,520 --> 00:12:36,520 Speaker 11: These videos, generated by AI tools from Meta, Google, Open 216 00:12:36,520 --> 00:12:41,160 Speaker 11: Ai and more are spreading on Instagram, Facebook, TikTok, and 217 00:12:41,520 --> 00:12:43,000 Speaker 11: x at a rapid pace. 218 00:12:43,360 --> 00:12:48,920 Speaker 8: Every other scroll it is some AI generated like influencer. 219 00:12:48,600 --> 00:12:51,480 Speaker 11: Dubbed AI slop. Some of these clips are meant to 220 00:12:51,480 --> 00:12:54,800 Speaker 11: make us laugh, like Marilyn Monroe here, while others are 221 00:12:54,800 --> 00:12:58,200 Speaker 11: out to spread misinformation in a world already struggling with 222 00:12:58,280 --> 00:12:59,600 Speaker 11: claims of fake news. 223 00:13:00,080 --> 00:13:00,640 Speaker 1: You will be. 224 00:13:00,640 --> 00:13:03,360 Speaker 7: Fooled by an AI photo this week, and you probably 225 00:13:03,400 --> 00:13:05,199 Speaker 7: already have been and you didn't know it. 226 00:13:05,600 --> 00:13:09,640 Speaker 3: That's probably true. I bet every week we're we're fooled 227 00:13:09,640 --> 00:13:10,880 Speaker 3: by AI videos. 228 00:13:10,960 --> 00:13:13,800 Speaker 5: We have not come to terms with what this means 229 00:13:13,800 --> 00:13:14,559 Speaker 5: for society. 230 00:13:14,840 --> 00:13:18,959 Speaker 11: Celebrities like Keanu Reeves having to grapple with AI deep fakes. 231 00:13:18,720 --> 00:13:22,120 Speaker 6: Hell just concerning is there for you? Well? I mean 232 00:13:22,320 --> 00:13:23,720 Speaker 6: it's not a lot of fun. 233 00:13:24,240 --> 00:13:26,839 Speaker 11: Even Al has been the target of AI videos try 234 00:13:26,960 --> 00:13:30,280 Speaker 11: al Roker the weather guy into dupe shoppers. 235 00:13:30,040 --> 00:13:34,079 Speaker 4: Reversing my hypertension in just three months, I don't have hypertension. 236 00:13:34,480 --> 00:13:37,520 Speaker 11: It can be easy to spot the more outlandish AI clips, 237 00:13:37,679 --> 00:13:40,800 Speaker 11: but what about something more believable, like a dog cuddling 238 00:13:40,920 --> 00:13:43,560 Speaker 11: up to a baby, a grandma dancing at a barbecue, 239 00:13:43,800 --> 00:13:45,720 Speaker 11: or a harrowing bodycam video. 240 00:13:45,880 --> 00:13:47,600 Speaker 1: Okay, well came back, we'll finish this up. 241 00:13:48,520 --> 00:13:52,200 Speaker 10: You're listening to Tim Conway Junior on demand from KFI 242 00:13:52,520 --> 00:13:55,360 Speaker 10: AM six forty nine o'clock. 243 00:13:55,400 --> 00:13:57,720 Speaker 3: We're coming up only twenty four minutes of the hour 244 00:13:58,360 --> 00:14:00,319 Speaker 3: and may play some well, we were are going to 245 00:14:00,360 --> 00:14:02,440 Speaker 3: play some of the talkbacks. They may want to get 246 00:14:02,480 --> 00:14:06,680 Speaker 3: your ZIM and you will be the only voice on 247 00:14:06,880 --> 00:14:11,240 Speaker 3: KFI potentially speaking to tens of thousands of people, and 248 00:14:11,320 --> 00:14:15,520 Speaker 3: it's all you. So get those talkbacks in and the 249 00:14:15,520 --> 00:14:18,760 Speaker 3: more interesting, the better shot at getting them on the air. 250 00:14:19,040 --> 00:14:22,440 Speaker 3: All right, How to spot AI fake videos? They did 251 00:14:22,480 --> 00:14:24,840 Speaker 3: a piece on the Today Show. I think we could 252 00:14:24,920 --> 00:14:27,920 Speaker 3: all learn something here and make sure your mom and 253 00:14:28,000 --> 00:14:30,320 Speaker 3: dad are listening, because those are the people always sending 254 00:14:30,360 --> 00:14:35,080 Speaker 3: stuff to their kids. Hey, is this real mom? That 255 00:14:35,320 --> 00:14:38,240 Speaker 3: woman has three heads? Don't you think that we would 256 00:14:38,240 --> 00:14:41,040 Speaker 3: have seen a picture of her before she was fifty eight. 257 00:14:41,600 --> 00:14:44,680 Speaker 3: I think that's fake. Oh okay, all right. What about 258 00:14:44,680 --> 00:14:46,920 Speaker 3: the governor killing a baron eating it? I think that 259 00:14:47,120 --> 00:14:49,720 Speaker 3: was also probably a fake? Big dog, here we go. 260 00:14:49,920 --> 00:14:52,800 Speaker 11: Be easy to spot the more outlandish AI clips, but 261 00:14:52,920 --> 00:14:56,080 Speaker 11: what about something more believable, like a dog cuddling up 262 00:14:56,120 --> 00:14:58,920 Speaker 11: to a baby, the grandma dancing at a barbecue, or 263 00:14:58,960 --> 00:15:02,680 Speaker 11: a harrowing body video I got your. 264 00:15:04,240 --> 00:15:04,440 Speaker 10: Life? 265 00:15:04,640 --> 00:15:07,680 Speaker 11: Even AI fakes designed to make you feel good, to 266 00:15:07,760 --> 00:15:11,200 Speaker 11: tug on your heartstrings. These videos are turning feeds into 267 00:15:11,240 --> 00:15:14,560 Speaker 11: a mix of real life content and computer made footage, 268 00:15:14,800 --> 00:15:17,280 Speaker 11: and some users are tired of it. I don't know 269 00:15:17,320 --> 00:15:19,840 Speaker 11: what the solution is, but this technology should never have 270 00:15:19,920 --> 00:15:22,320 Speaker 11: existed in the first place. So how can the average 271 00:15:22,320 --> 00:15:25,240 Speaker 11: social media user separate fact from fiction? 272 00:15:25,840 --> 00:15:27,720 Speaker 7: So we're gonna show you what is out there? 273 00:15:27,720 --> 00:15:28,200 Speaker 6: What's faked? 274 00:15:28,280 --> 00:15:31,000 Speaker 11: The team at Corridor Digital, a production studio with more 275 00:15:31,000 --> 00:15:34,880 Speaker 11: than seven million subscribers on YouTube, put some special people 276 00:15:34,960 --> 00:15:35,480 Speaker 11: to the test. 277 00:15:35,560 --> 00:15:36,920 Speaker 7: So we got all of our moms on a call. 278 00:15:37,000 --> 00:15:39,960 Speaker 7: Here can we teach them to spot fake AI videos? 279 00:15:40,040 --> 00:15:42,840 Speaker 11: Corridor co founder Nico Piringer and his team took an 280 00:15:42,880 --> 00:15:46,640 Speaker 11: analytical approach to distinguish real from fake. Their video has 281 00:15:46,680 --> 00:15:48,760 Speaker 11: more than two point three million views. 282 00:15:48,840 --> 00:15:51,080 Speaker 7: Now you have to start looking at other clues in 283 00:15:51,120 --> 00:15:51,720 Speaker 7: the shots. 284 00:15:51,840 --> 00:15:53,640 Speaker 1: What about the cars, what about the people? 285 00:15:53,760 --> 00:15:56,520 Speaker 6: See there's people going to the right. Then they're gone. 286 00:15:56,600 --> 00:15:57,080 Speaker 6: You'll be right. 287 00:15:57,120 --> 00:15:58,240 Speaker 7: You clocked it one hundred percent. 288 00:15:58,280 --> 00:15:58,640 Speaker 6: That's fake. 289 00:15:59,080 --> 00:16:01,520 Speaker 11: It turns out there is hope for us. We just 290 00:16:01,560 --> 00:16:04,160 Speaker 11: need to know what to look out for and now on. 291 00:16:04,360 --> 00:16:07,040 Speaker 7: Just because it looks real no longer means it Israel. 292 00:16:07,120 --> 00:16:09,840 Speaker 1: Thanks for watching, Dad. 293 00:16:09,920 --> 00:16:12,480 Speaker 3: A lot of these are very difficult to spot. I 294 00:16:13,680 --> 00:16:16,000 Speaker 3: nail them, probably around eighty percent, but I still. 295 00:16:15,840 --> 00:16:19,480 Speaker 1: Get fooled all the time. Why yeah, And when you 296 00:16:19,520 --> 00:16:20,880 Speaker 1: do get fooled, you feel like. 297 00:16:20,920 --> 00:16:23,360 Speaker 3: An a hole, you know, you feel like, oh Christ, 298 00:16:23,400 --> 00:16:25,080 Speaker 3: I just sent that out to all my buddies, and 299 00:16:25,120 --> 00:16:28,520 Speaker 3: it's it's fake. It's a fake video. All right, let's 300 00:16:28,520 --> 00:16:31,000 Speaker 3: figure out how we can get better at this. 301 00:16:31,080 --> 00:16:33,520 Speaker 6: All right, Vicky, thank you. We are joining now here 302 00:16:33,520 --> 00:16:36,840 Speaker 6: in the studio by Nico. Uh there here he's from 303 00:16:36,880 --> 00:16:39,760 Speaker 6: Quarter Digital. This is a real life Nico. This is 304 00:16:39,800 --> 00:16:42,800 Speaker 6: not a He is here though, and the Flesh to 305 00:16:42,880 --> 00:16:46,360 Speaker 6: show us some ways to spot AI generated videos videos. 306 00:16:46,360 --> 00:16:49,120 Speaker 6: Thanks for coming in from California to do this. Before 307 00:16:49,120 --> 00:16:50,920 Speaker 6: we get into like the tips and how we can 308 00:16:50,920 --> 00:16:53,680 Speaker 6: spot real from fake? Are we pass the point of 309 00:16:53,760 --> 00:16:57,000 Speaker 6: no retire? I mean, our efforts at this point feutile, 310 00:16:57,240 --> 00:16:57,440 Speaker 6: you know. 311 00:16:57,640 --> 00:16:59,960 Speaker 1: I mean I'm an optimist. I don't think so. 312 00:17:00,320 --> 00:17:00,480 Speaker 10: You know. 313 00:17:00,520 --> 00:17:02,080 Speaker 7: To me, it's like we've already been in an era 314 00:17:02,360 --> 00:17:04,800 Speaker 7: for a while where it's easy to fake images, it's 315 00:17:04,840 --> 00:17:07,720 Speaker 7: easy to fake texts. We you know, we have we've 316 00:17:07,800 --> 00:17:10,200 Speaker 7: armed ourselves with ways to figure out what's real and 317 00:17:10,240 --> 00:17:11,440 Speaker 7: what's not in those regards. 318 00:17:11,440 --> 00:17:13,919 Speaker 1: So you know, I just give the tips, man, just 319 00:17:13,960 --> 00:17:15,080 Speaker 1: give us the tips. 320 00:17:14,840 --> 00:17:16,360 Speaker 7: Matter of learning how to do it with video? Now, 321 00:17:16,400 --> 00:17:19,280 Speaker 7: all right, let us get some tips, because why there 322 00:17:19,320 --> 00:17:20,480 Speaker 7: we go, there we go. 323 00:17:20,600 --> 00:17:22,240 Speaker 3: See if I was hosting the Today Show would have 324 00:17:22,280 --> 00:17:23,800 Speaker 3: been a step ahead of this. 325 00:17:23,800 --> 00:17:26,640 Speaker 12: Lady want and your number one tip, which I think 326 00:17:26,720 --> 00:17:28,200 Speaker 12: is a great one, and we have a video of it, 327 00:17:28,320 --> 00:17:29,600 Speaker 12: is it's the length of. 328 00:17:29,560 --> 00:17:32,160 Speaker 7: The video, right, yeah, tell us That's the very first 329 00:17:32,160 --> 00:17:33,399 Speaker 7: thing that I look at, Like what I'm trying to 330 00:17:33,400 --> 00:17:35,280 Speaker 7: tell if a video is fake or if it's real. 331 00:17:35,280 --> 00:17:36,960 Speaker 7: Immediately look at how long is it? If it's ten 332 00:17:36,960 --> 00:17:40,080 Speaker 7: to fifteen seconds long, it's a great indication that it's not. 333 00:17:40,280 --> 00:17:40,920 Speaker 12: Why is that? 334 00:17:41,280 --> 00:17:45,919 Speaker 7: Well, making a videos takes a ton of computing resources, 335 00:17:46,320 --> 00:17:48,640 Speaker 7: so it's already using some of the most powerful computers 336 00:17:48,720 --> 00:17:51,480 Speaker 7: we have available just to get fifteen seconds. So to 337 00:17:51,480 --> 00:17:53,280 Speaker 7: get beyond that right now, it's a little bit beyond 338 00:17:53,600 --> 00:17:55,359 Speaker 7: the capabilities and just the machines that we have. 339 00:17:55,520 --> 00:17:57,679 Speaker 3: Oh, that's a good tip, right If a video is 340 00:17:57,680 --> 00:18:00,480 Speaker 3: ten to fifteen seconds and it doesn't look real, maybe 341 00:18:00,560 --> 00:18:02,440 Speaker 3: it is fake because it's so short. 342 00:18:02,480 --> 00:18:05,200 Speaker 6: Okay, Editing programs though that you can use to stitch 343 00:18:05,280 --> 00:18:06,119 Speaker 6: longer videos together. 344 00:18:06,240 --> 00:18:08,920 Speaker 7: Certainly, you know, just like you know, visual effects artists 345 00:18:08,920 --> 00:18:11,160 Speaker 7: can sit down and make an illusion out of nothing. 346 00:18:11,200 --> 00:18:13,280 Speaker 7: You can still work with you know, AI videos and 347 00:18:13,320 --> 00:18:15,240 Speaker 7: push it beyond what the capabilities currently are. 348 00:18:15,320 --> 00:18:15,480 Speaker 9: Though. 349 00:18:15,520 --> 00:18:17,439 Speaker 12: All right, let's figure out if things are real or not. 350 00:18:17,560 --> 00:18:20,880 Speaker 12: This is your second big tip tip. So what sort 351 00:18:20,880 --> 00:18:23,480 Speaker 12: of details when you're doing something AI? What kind of 352 00:18:23,520 --> 00:18:26,679 Speaker 12: problems do people generating AI have with the details? 353 00:18:26,960 --> 00:18:27,120 Speaker 6: Man? 354 00:18:27,200 --> 00:18:29,720 Speaker 7: I mean, details are tough. There's a lot of little 355 00:18:29,760 --> 00:18:32,080 Speaker 7: things to look at. One thing I love watching is 356 00:18:32,160 --> 00:18:34,280 Speaker 7: just picking people out in the background and falling through 357 00:18:34,320 --> 00:18:36,840 Speaker 7: the shot and you'll see them do things that don't 358 00:18:36,840 --> 00:18:39,200 Speaker 7: make any sense, they'll walk into traffic, they'll walk the 359 00:18:39,280 --> 00:18:39,879 Speaker 7: wrong way. 360 00:18:40,160 --> 00:18:40,359 Speaker 6: You know. 361 00:18:40,440 --> 00:18:42,520 Speaker 7: For this example here, you know you can look at 362 00:18:42,520 --> 00:18:44,240 Speaker 7: some of the details here that the text text is 363 00:18:44,240 --> 00:18:44,639 Speaker 7: a cart. 364 00:18:44,560 --> 00:18:46,840 Speaker 3: Right, this is an accident in New York with a 365 00:18:47,119 --> 00:18:51,480 Speaker 3: with a taxi cab. And this video evidently is. 366 00:18:51,480 --> 00:18:52,600 Speaker 1: Fake thing to look at. 367 00:18:53,240 --> 00:18:54,000 Speaker 6: What are you looking at? 368 00:18:54,359 --> 00:18:56,760 Speaker 7: So for example, there's little sinus is tax. 369 00:18:58,160 --> 00:18:58,560 Speaker 1: Taxi? 370 00:18:58,840 --> 00:19:02,520 Speaker 7: Yeah, it becomes far. 371 00:19:04,160 --> 00:19:04,440 Speaker 6: Yeah. 372 00:19:04,560 --> 00:19:07,200 Speaker 7: So it's those little bits of texts are great to 373 00:19:07,240 --> 00:19:09,080 Speaker 7: look at. But also like watching people, like there's a 374 00:19:09,080 --> 00:19:11,560 Speaker 7: guy walking up who looks like a police officer. Yeah, 375 00:19:11,640 --> 00:19:13,280 Speaker 7: and then he just like it shows up in the shot. 376 00:19:13,480 --> 00:19:15,479 Speaker 6: What about the architectural nonsense? What is that? 377 00:19:15,560 --> 00:19:18,160 Speaker 7: Yeah, the architectural it's like it's very dream like. Sometimes 378 00:19:18,359 --> 00:19:20,919 Speaker 7: you'll see, uh, I don't like opening to like a 379 00:19:21,040 --> 00:19:23,560 Speaker 7: wall of nothing, or like windows that are right in 380 00:19:23,600 --> 00:19:25,720 Speaker 7: front of like a concrete wall. Things that just don't 381 00:19:25,720 --> 00:19:28,800 Speaker 7: make sense. It's just you know, it's it's the appearance 382 00:19:28,800 --> 00:19:30,840 Speaker 7: of reality, but it isn't reality. And when you look 383 00:19:30,880 --> 00:19:32,760 Speaker 7: at the background you'll see those details start to help. 384 00:19:32,880 --> 00:19:35,240 Speaker 12: Just on another topic, like there's a lot going on 385 00:19:35,280 --> 00:19:37,080 Speaker 12: around the world. There are a lot of videos out 386 00:19:37,119 --> 00:19:40,440 Speaker 12: there that are showing bombings in places and people don't know. 387 00:19:40,440 --> 00:19:42,679 Speaker 1: Like they're asking, was that real? Did that happen? 388 00:19:42,800 --> 00:19:44,960 Speaker 3: Yeah, people ask that all the time. I wonder when 389 00:19:45,040 --> 00:19:47,439 Speaker 3: we're all going to be fooled and Hollywood is going 390 00:19:47,480 --> 00:19:51,520 Speaker 3: to release a movie, a full length feature movie that 391 00:19:51,680 --> 00:19:55,000 Speaker 3: is all AI. And I asked that a friend of 392 00:19:55,040 --> 00:19:59,000 Speaker 3: mine who's a writer in Hollywood, and he said, what 393 00:19:59,200 --> 00:20:03,040 Speaker 3: makes you think that hasn't already happened? And I thought, oh, 394 00:20:03,359 --> 00:20:06,800 Speaker 3: maybe that has happened. Maybe if full length feature has 395 00:20:06,840 --> 00:20:10,320 Speaker 3: been released and we don't know, is that possible? I 396 00:20:10,359 --> 00:20:12,960 Speaker 3: don't think so. I think I think somebody would have 397 00:20:12,960 --> 00:20:13,439 Speaker 3: picked that up. 398 00:20:14,040 --> 00:20:14,919 Speaker 1: How do you know. 399 00:20:14,880 --> 00:20:17,080 Speaker 12: Which one of those are real or not real? 400 00:20:17,200 --> 00:20:18,679 Speaker 7: Well, once again, the first thing I turned to is 401 00:20:18,760 --> 00:20:21,040 Speaker 7: video length, Like is this a ten to fifty second 402 00:20:21,040 --> 00:20:23,880 Speaker 7: long video? If it is, be doubtful. But if it's 403 00:20:23,960 --> 00:20:26,760 Speaker 7: like a thirty second long, unbroken shot, you're probably dealing 404 00:20:26,800 --> 00:20:29,240 Speaker 7: with the real thing. But another thing to look at 405 00:20:29,400 --> 00:20:34,160 Speaker 7: is the quality of the fuckings that's right, because you know, 406 00:20:34,359 --> 00:20:37,080 Speaker 7: these ais are effectively trained on these videos and it's 407 00:20:37,080 --> 00:20:40,920 Speaker 7: a statistical like amalgamation of what you see. You don't 408 00:20:40,920 --> 00:20:44,040 Speaker 7: get things like bad compression and noise and things that 409 00:20:44,080 --> 00:20:46,720 Speaker 7: aren't framed correctly. Where you would get that if somebody 410 00:20:46,920 --> 00:20:49,520 Speaker 7: grabbed a video off their phone and uploaded twenty times 411 00:20:49,560 --> 00:20:51,399 Speaker 7: before it got to you, you get all that, like 412 00:20:51,480 --> 00:20:52,560 Speaker 7: degradation of the image. 413 00:20:52,600 --> 00:20:53,760 Speaker 6: You don't really get that with AI. 414 00:20:53,880 --> 00:20:56,040 Speaker 7: Video looks too perfect, exactly, too. 415 00:20:55,960 --> 00:20:57,760 Speaker 6: Good to be true. The subject also in a lot 416 00:20:57,800 --> 00:21:01,560 Speaker 6: of these videos is perfectly centered. Yeah, that's a good way. 417 00:21:01,720 --> 00:21:04,520 Speaker 7: Yeah, you're never gonna get like bad framing, Like yeah, 418 00:21:04,600 --> 00:21:07,960 Speaker 7: for this example here, like by the way, right rocks, Yes, 419 00:21:08,080 --> 00:21:10,360 Speaker 7: it looks super real at first, but then then what's 420 00:21:10,440 --> 00:21:11,840 Speaker 7: not How do you know it's not? Again, well, the 421 00:21:11,880 --> 00:21:14,359 Speaker 7: camera's barely shaking. It's a handheld camera. It's like this 422 00:21:14,560 --> 00:21:17,600 Speaker 7: really smooth SETI caam shot. She is perfectly in the 423 00:21:17,600 --> 00:21:18,840 Speaker 7: center of the shot. 424 00:21:19,000 --> 00:21:19,159 Speaker 6: You know. 425 00:21:19,200 --> 00:21:20,720 Speaker 7: Then you can start to look at the details of 426 00:21:20,720 --> 00:21:22,399 Speaker 7: the flags, like what countries are those flags for? 427 00:21:23,080 --> 00:21:23,280 Speaker 9: You know? 428 00:21:25,440 --> 00:21:27,840 Speaker 3: And then so at the end of this piece on 429 00:21:27,880 --> 00:21:32,240 Speaker 3: the Today Show they said, by the way, this was. 430 00:21:32,200 --> 00:21:35,680 Speaker 1: An AI video, and I'm like, wow, it I don't 431 00:21:35,720 --> 00:21:38,040 Speaker 1: think it was, but it looks like it could have been. 432 00:21:38,080 --> 00:21:40,840 Speaker 3: Two I think we're all being fooled all the time 433 00:21:41,359 --> 00:21:44,919 Speaker 3: by AI, which is great. If you're a celebrity and 434 00:21:44,960 --> 00:21:49,080 Speaker 3: you get caught, like with a duy or having sex 435 00:21:49,160 --> 00:21:52,040 Speaker 3: outside your marriage with some chick, you know, you could say, 436 00:21:52,040 --> 00:21:55,560 Speaker 3: oh it's AI, this is a fake AI video. Don't 437 00:21:55,600 --> 00:21:58,280 Speaker 3: worry about it. Just keep moving ahead. That's going to 438 00:21:58,320 --> 00:22:00,320 Speaker 3: happen as well, all right, the contmote. You know, we 439 00:22:00,359 --> 00:22:02,440 Speaker 3: are sixteen minutes away from the top of the hour 440 00:22:02,440 --> 00:22:03,720 Speaker 3: where we do some talkback. 441 00:22:04,560 --> 00:22:08,280 Speaker 10: You're listening to Tim Conway Junior on demand from KFI 442 00:22:08,560 --> 00:22:10,720 Speaker 10: Am six forty. 443 00:22:10,960 --> 00:22:14,880 Speaker 3: We got great news coming out of Malibu. Dukes, very 444 00:22:14,920 --> 00:22:19,199 Speaker 3: popular restaurant Malibu, is reopening after a year long fire 445 00:22:19,359 --> 00:22:23,280 Speaker 3: and mud slide recovery. So Dukes is set to reopen 446 00:22:23,520 --> 00:22:27,879 Speaker 3: this Friday, March thirteenth, for limited hours following the fourteen 447 00:22:27,960 --> 00:22:31,720 Speaker 3: month closure caused by the Palisades Fire and then the mudslides. 448 00:22:32,480 --> 00:22:36,840 Speaker 3: So after more than a year of silence Malibu Coast, 449 00:22:36,880 --> 00:22:41,919 Speaker 3: the iconic Dukes is opening up again. It'll be officially 450 00:22:42,040 --> 00:22:47,520 Speaker 3: March thirteenth. It closed January seventh of last year. More 451 00:22:47,560 --> 00:22:51,840 Speaker 3: than it's almost fourteen months, or almost exactly fourteen months. 452 00:22:52,040 --> 00:22:56,119 Speaker 3: Restaurants survived the Palisades fire because the fire department, the 453 00:22:56,320 --> 00:23:01,080 Speaker 3: county and the cities used their parking lot as as 454 00:23:01,119 --> 00:23:04,000 Speaker 3: a staging area, and so they were able to save 455 00:23:04,040 --> 00:23:07,679 Speaker 3: the restaurant. But a month after the fire, when they 456 00:23:07,680 --> 00:23:11,560 Speaker 3: were still recovering and trying to get the sucker open, 457 00:23:12,440 --> 00:23:14,760 Speaker 3: a lot of rain came right down the canyon there 458 00:23:15,200 --> 00:23:19,280 Speaker 3: and the burn scar triggered a massive mud slide that 459 00:23:19,560 --> 00:23:23,280 Speaker 3: wiped out a lot of the interior of Dukes. So 460 00:23:23,400 --> 00:23:26,960 Speaker 3: the bar, the barefoot bar, and dining room are reopening, 461 00:23:27,640 --> 00:23:30,840 Speaker 3: and that's a cool deal. The restaurant is starting with 462 00:23:30,880 --> 00:23:35,960 Speaker 3: a four day per week operation and they haven't finalized 463 00:23:36,160 --> 00:23:40,119 Speaker 3: or said when they're going to officially open full time. 464 00:23:40,480 --> 00:23:44,520 Speaker 3: So January seventh, twenty twenty five, Dukes closed. February of 465 00:23:44,560 --> 00:23:46,919 Speaker 3: twenty twenty five, a month later we had the wind 466 00:23:47,040 --> 00:23:50,359 Speaker 3: and the rain and the mud slide. March twenty twenty five, 467 00:23:50,480 --> 00:23:54,680 Speaker 3: management announces the layoffs of one hundred and twenty six 468 00:23:54,720 --> 00:23:58,000 Speaker 3: employees and to get one hundred and twenty six employees 469 00:23:58,040 --> 00:24:02,040 Speaker 3: back into action, you know, most of them are not available, 470 00:24:02,040 --> 00:24:03,360 Speaker 3: they've gone on to other jobs. 471 00:24:03,720 --> 00:24:06,600 Speaker 1: It's very difficult to do, very difficult. 472 00:24:06,720 --> 00:24:11,040 Speaker 3: So congratulations to Dukes two to one one five zero 473 00:24:11,520 --> 00:24:15,920 Speaker 3: PCH two one, one five zero pch may want to 474 00:24:15,920 --> 00:24:20,520 Speaker 3: get out there and show them some love and get 475 00:24:20,560 --> 00:24:24,119 Speaker 3: a good meal. Speaking of good meals, there's a place 476 00:24:24,160 --> 00:24:29,480 Speaker 3: called Noma. The Noma chef is responding to allegations. But Noma, 477 00:24:29,760 --> 00:24:34,439 Speaker 3: the celebrity chef of Noma, has had some difficulties. But 478 00:24:34,680 --> 00:24:39,280 Speaker 3: there's a pop up that sold out in Los Angeles 479 00:24:39,320 --> 00:24:43,280 Speaker 3: in one minute. I think they're charging one thousand bucks 480 00:24:43,320 --> 00:24:44,840 Speaker 3: a seat or something like that. Let's find out the 481 00:24:44,880 --> 00:24:48,760 Speaker 3: information here. But there's some allegations that the celebrity chef 482 00:24:48,800 --> 00:24:52,399 Speaker 3: at Noma was abusing the people that worked there, some 483 00:24:52,440 --> 00:24:56,399 Speaker 3: of the people that worked there and accusing him of 484 00:24:56,480 --> 00:25:00,159 Speaker 3: physical and psychological torture and trauma. 485 00:25:00,359 --> 00:25:02,000 Speaker 1: So let's find out what's going on here with Noma. 486 00:25:02,160 --> 00:25:05,000 Speaker 4: To give you a sense of Noma's popularity, people paid 487 00:25:05,040 --> 00:25:08,280 Speaker 4: fifteen hundred dollars for a seat at the Los Angeles 488 00:25:08,280 --> 00:25:10,880 Speaker 4: pop up in Silver Lake, and the LA Times reported 489 00:25:11,160 --> 00:25:15,000 Speaker 4: that they sold all sixteen weeks in one minute. 490 00:25:15,400 --> 00:25:21,199 Speaker 3: Sixteen weeks, one minute, fifteen hundred dollars a seat. What 491 00:25:21,240 --> 00:25:24,120 Speaker 3: does that tell you that rich people are not being 492 00:25:24,200 --> 00:25:27,840 Speaker 3: affected by this economy or the war in Iran or 493 00:25:27,880 --> 00:25:32,240 Speaker 3: any shortages or any anything gas prices. They are not 494 00:25:32,320 --> 00:25:33,960 Speaker 3: being affected, these wealthy people. 495 00:25:34,240 --> 00:25:37,920 Speaker 4: But all of those seats were sold before the controversy 496 00:25:37,960 --> 00:25:40,280 Speaker 4: emerged involving their celebrity chef. 497 00:25:40,600 --> 00:25:42,600 Speaker 3: I don't think most of the people going spending for 498 00:25:42,880 --> 00:25:46,280 Speaker 3: fifteen hundred bucks would care. I know they should, but 499 00:25:46,640 --> 00:25:49,760 Speaker 3: they probably you know, give it a cursorary. Oh, I 500 00:25:49,800 --> 00:25:52,240 Speaker 3: feel bad for those people, and then boat right in 501 00:25:52,280 --> 00:25:53,600 Speaker 3: the seat with the great food. 502 00:25:53,960 --> 00:25:54,879 Speaker 1: That's what's going to happen. 503 00:25:54,880 --> 00:25:57,600 Speaker 4: Five different times, Nomah's ranked number one on the list 504 00:25:57,600 --> 00:26:00,960 Speaker 4: of world's best restaurants. The restaurant that features a new 505 00:26:00,960 --> 00:26:05,159 Speaker 4: Nordic fine dining experience started in Copenhagen, Denmark, but today 506 00:26:05,200 --> 00:26:08,159 Speaker 4: they kick off a sixteen weeks sold out residency at 507 00:26:08,160 --> 00:26:12,879 Speaker 4: the Paramour Estate in Silver Lake, Yes On the same 508 00:26:12,960 --> 00:26:16,840 Speaker 4: day as this protest outside the estate, this crowd criticized 509 00:26:16,880 --> 00:26:19,520 Speaker 4: Noma's celebrity chef, Renee red Zeppe. 510 00:26:19,560 --> 00:26:22,800 Speaker 8: For over two decades, the culture surrounding Renee red Zeppe 511 00:26:23,080 --> 00:26:26,919 Speaker 8: and Noma has been celebrated without confronting the true harm 512 00:26:27,160 --> 00:26:29,919 Speaker 8: countless workers have experienced behind the curtains. 513 00:26:30,040 --> 00:26:33,720 Speaker 4: Jason Ignacio White is the former director of Fermentation at Noma. 514 00:26:34,040 --> 00:26:37,439 Speaker 4: He led today's protest against red Zeppe, days after The 515 00:26:37,480 --> 00:26:40,520 Speaker 4: New York Times released a story where dozens of former 516 00:26:40,560 --> 00:26:44,480 Speaker 4: employees said red Zeppe inflicted physical and psychological violence on 517 00:26:44,520 --> 00:26:45,680 Speaker 4: the staff for years. 518 00:26:45,800 --> 00:26:47,520 Speaker 1: Bad timing, bad timing. 519 00:26:48,119 --> 00:26:50,440 Speaker 3: All those seats sold for fifteen hundred bucks, A shot 520 00:26:50,520 --> 00:26:52,600 Speaker 3: sold out in one minute, and now you're gonna have 521 00:26:52,640 --> 00:26:55,000 Speaker 3: to walk through a protest to go get that food. 522 00:26:55,080 --> 00:26:59,040 Speaker 8: Beneath the glamour and stars, workers being pushed beyond their limits, 523 00:27:00,040 --> 00:27:04,200 Speaker 8: being punched and chokes being pushed beyond their limits, workers 524 00:27:04,240 --> 00:27:05,160 Speaker 8: being humiliated. 525 00:27:05,320 --> 00:27:08,760 Speaker 3: Yeah, that's a that's a lot of accusations going on there. 526 00:27:08,600 --> 00:27:10,040 Speaker 8: And dreams being broken. 527 00:27:10,359 --> 00:27:14,359 Speaker 4: Red Zeppi responded to recent reports apologizing on Instagram, saying, 528 00:27:14,400 --> 00:27:17,679 Speaker 4: in part quote, although I don't recognize all details in 529 00:27:17,760 --> 00:27:20,560 Speaker 4: these stories, I can see enough of my past behavior 530 00:27:20,600 --> 00:27:23,720 Speaker 4: reflected in them to understand that my actions were harmful 531 00:27:23,760 --> 00:27:24,960 Speaker 4: to people who worked with me. 532 00:27:25,520 --> 00:27:30,359 Speaker 3: Physical abuse, psychological abuse went on for twenty years, and 533 00:27:30,400 --> 00:27:32,080 Speaker 3: nobody dropped the dime on this lady. 534 00:27:32,200 --> 00:27:35,399 Speaker 4: He added quote to those who have suffered under my leadership, 535 00:27:35,520 --> 00:27:38,919 Speaker 4: my bad judgment, or my anger, I am deeply sorry, 536 00:27:39,119 --> 00:27:40,359 Speaker 4: and I have worked to change. 537 00:27:41,760 --> 00:27:43,800 Speaker 1: I don't know I don't know if you're going to change. 538 00:27:44,240 --> 00:27:47,159 Speaker 3: Look, it's a great restaurant and people are willing to 539 00:27:47,200 --> 00:27:48,680 Speaker 3: pay that kind of money to eat there. 540 00:27:49,400 --> 00:27:52,680 Speaker 1: I don't know how much change is going to happen. 541 00:27:52,920 --> 00:27:53,080 Speaker 6: You know. 542 00:27:53,240 --> 00:27:56,800 Speaker 3: Remember the last woman that was accused of being really 543 00:27:57,160 --> 00:28:01,159 Speaker 3: cruel and mean to her staff, Ellen DeGeneres, and she 544 00:28:01,200 --> 00:28:03,520 Speaker 3: had to come out and apologize everybody on her show, 545 00:28:03,880 --> 00:28:05,920 Speaker 3: and she said the same thing like, I don't really 546 00:28:05,960 --> 00:28:08,240 Speaker 3: recognize these stories. I don't think I was that bad 547 00:28:08,280 --> 00:28:11,520 Speaker 3: to people. And then was story after story after story 548 00:28:11,680 --> 00:28:12,879 Speaker 3: on what an a hole she was. 549 00:28:15,200 --> 00:28:17,400 Speaker 4: But the apology may have come too late. As this 550 00:28:17,480 --> 00:28:20,439 Speaker 4: group chanted on the street outside the Paramour Estate in 551 00:28:20,520 --> 00:28:24,200 Speaker 4: Silver Lake, We're Noma's sixteen week LA residency is set 552 00:28:24,240 --> 00:28:25,240 Speaker 4: to begin, and. 553 00:28:25,200 --> 00:28:29,159 Speaker 8: We will not accept Damna's control. Magical pr attempts to 554 00:28:29,359 --> 00:28:31,159 Speaker 8: hide the truth of what he's done to me and 555 00:28:31,240 --> 00:28:31,720 Speaker 8: my peers. 556 00:28:33,320 --> 00:28:37,040 Speaker 4: This fifteen hundred dollars exclusive event starts. 557 00:28:36,680 --> 00:28:39,120 Speaker 1: With the bang, Oh that chef is a man. I 558 00:28:39,120 --> 00:28:39,840 Speaker 1: thought it was a woman. 559 00:28:39,920 --> 00:28:43,479 Speaker 4: And that first tasting experience here in Los Angeles begins tonight. 560 00:28:43,560 --> 00:28:45,760 Speaker 4: I did reach out to Renee red Zeppe for. 561 00:28:46,120 --> 00:28:49,200 Speaker 1: Renee read Zeppe is a dude did. 562 00:28:49,240 --> 00:28:52,120 Speaker 4: Reach out to Renee red Zeppe for comment today in 563 00:28:52,160 --> 00:28:54,440 Speaker 4: some response, but I did not hear back. 564 00:28:54,960 --> 00:28:58,720 Speaker 3: Yeah, that's always a crapshoot with the name Renee. You 565 00:28:58,800 --> 00:29:01,480 Speaker 3: never know in the country, it's usually a chick, but 566 00:29:02,200 --> 00:29:04,600 Speaker 3: it's a dude and he's guess he's just pounding the 567 00:29:04,600 --> 00:29:06,760 Speaker 3: hell out of other people at work at NOMA. 568 00:29:06,920 --> 00:29:08,120 Speaker 1: So enjoy your meal. 569 00:29:08,600 --> 00:29:11,480 Speaker 3: Well you got a cross hit picket line and protest 570 00:29:11,960 --> 00:29:14,640 Speaker 3: to get your fries and your burger while people are 571 00:29:14,640 --> 00:29:18,280 Speaker 3: getting their ass kicked in the kitchen. What what a 572 00:29:18,320 --> 00:29:19,720 Speaker 3: city we lived in? 573 00:29:19,840 --> 00:29:20,760 Speaker 1: Jesus Christ. 574 00:29:21,320 --> 00:29:23,560 Speaker 3: All right, we'll play some talkbacks that make it back. 575 00:29:23,560 --> 00:29:25,680 Speaker 3: We're live on KIM six forty Cattle. 576 00:29:26,600 --> 00:29:27,960 Speaker 1: This is KFI. 577 00:29:28,200 --> 00:29:30,720 Speaker 2: This has been the Conway Show on demand on the 578 00:29:30,760 --> 00:29:35,440 Speaker 2: iHeartRadio app Dere's Live. Join us on KFI AM six 579 00:29:35,560 --> 00:29:39,080 Speaker 2: forty weeknight six to ten pm Monday through Friday. 580 00:29:39,280 --> 00:29:40,480 Speaker 1: Dinged along with this app