1 00:00:01,560 --> 00:00:06,160 Speaker 1: You try to Charlamagne, some donkey today is just sudden, Charlotte, man, 2 00:00:06,160 --> 00:00:10,960 Speaker 1: I was ready for I never read one donkey other day. 3 00:00:10,960 --> 00:00:15,440 Speaker 1: What is it? Say it again, Charlamayn, I'm a duncan. Yes, 4 00:00:16,120 --> 00:00:17,880 Speaker 1: you are adult. 5 00:00:19,360 --> 00:00:23,000 Speaker 2: Don't everything that's Charlotte Dane the same, That's truthful. 6 00:00:23,239 --> 00:00:26,400 Speaker 1: Damn right. It is donkey to day for Friday, January nineteenth. 7 00:00:26,480 --> 00:00:27,200 Speaker 1: Is a reminder. 8 00:00:27,440 --> 00:00:29,720 Speaker 3: It's a reminder of something I told y'all nine months 9 00:00:29,760 --> 00:00:32,400 Speaker 3: ago on April fourteen, twenty twenty three. To be exact, 10 00:00:32,440 --> 00:00:35,160 Speaker 3: I am fully aware that nobody takes me serious because 11 00:00:35,159 --> 00:00:37,320 Speaker 3: I have a list. I relate a lot to Rafiki 12 00:00:37,400 --> 00:00:39,120 Speaker 3: from the Lion King. I can see where the things 13 00:00:39,120 --> 00:00:41,040 Speaker 3: I say may come off of sounding crazy. But if 14 00:00:41,080 --> 00:00:43,640 Speaker 3: you actually listen, if you really listen, you might learn 15 00:00:43,680 --> 00:00:46,680 Speaker 3: something from you from your friendly neighborhood bad guy Charlamagne 16 00:00:46,720 --> 00:00:48,559 Speaker 3: to god. Okay, see, last year I got on this 17 00:00:48,640 --> 00:00:51,159 Speaker 3: radio and warned y'all about the dangers of AI. And 18 00:00:51,240 --> 00:00:53,800 Speaker 3: today there's a couple of situations I want to bring 19 00:00:53,840 --> 00:00:57,720 Speaker 3: to your attention. Okay, hot mic supposedly caught President Joe 20 00:00:57,760 --> 00:01:00,720 Speaker 3: Biden threatening the wage war on Texas with F fifteen 21 00:01:00,800 --> 00:01:04,600 Speaker 3: fighter jets. Now, calm down, all you digital democratic d riders. 22 00:01:04,680 --> 00:01:06,560 Speaker 3: I know y'all just be ready to come to the 23 00:01:06,560 --> 00:01:09,559 Speaker 3: defense of massive Biden, but just relax. I'm fully aware 24 00:01:09,640 --> 00:01:13,000 Speaker 3: that the audio is artificial intelligence. Let's listen, going to make. 25 00:01:12,920 --> 00:01:16,320 Speaker 4: Sure those cowboys don't stop the serves of military age. 26 00:01:16,160 --> 00:01:19,240 Speaker 2: Events and anat if we have to send fifteen s 27 00:01:19,240 --> 00:01:21,280 Speaker 2: to tections here and raise more against textion. 28 00:01:22,760 --> 00:01:25,160 Speaker 3: Scary, especially being that they got the dois in the 29 00:01:25,160 --> 00:01:27,760 Speaker 3: background like he's just talking some with very scary. 30 00:01:27,920 --> 00:01:28,840 Speaker 1: That's not the only one. 31 00:01:28,880 --> 00:01:31,480 Speaker 3: This week in Maryland, a racist rant came out and 32 00:01:31,520 --> 00:01:34,360 Speaker 3: they said the racist rant was from Principal Eric Eisworth, 33 00:01:34,600 --> 00:01:35,559 Speaker 3: but he says it was AI. 34 00:01:35,680 --> 00:01:37,120 Speaker 1: Let's listen, I'm. 35 00:01:36,959 --> 00:01:40,080 Speaker 4: The principal here of being only me, you know, I 36 00:01:40,440 --> 00:01:43,240 Speaker 4: seriously don't understand why I have to constantly put up 37 00:01:43,240 --> 00:01:46,840 Speaker 4: with these here every day, between these ungrateful black kids 38 00:01:46,880 --> 00:01:48,600 Speaker 4: who can't test their way out of a paper bag, 39 00:01:49,240 --> 00:01:51,360 Speaker 4: or these teachers who don't get it. How hard is 40 00:01:51,400 --> 00:01:53,840 Speaker 4: it to get these students to meet their grade level expectations. 41 00:01:54,040 --> 00:01:56,440 Speaker 4: Lawrence and Ravenel should have never been hired. And don't 42 00:01:56,480 --> 00:01:58,320 Speaker 4: let me get started on DJ. I'm gonna drag his 43 00:01:58,400 --> 00:02:00,400 Speaker 4: blacks out of here one way or another. I'm going 44 00:02:00,480 --> 00:02:02,360 Speaker 4: to get something to stick. I'm just so sick of 45 00:02:02,400 --> 00:02:04,560 Speaker 4: the inadequacies of these people, and if I have to 46 00:02:04,560 --> 00:02:07,320 Speaker 4: get one more complaint from one more Jew in this community, 47 00:02:07,520 --> 00:02:10,200 Speaker 4: I'm going to join the other side. Kathy, I'm done. 48 00:02:10,639 --> 00:02:12,200 Speaker 1: I don't know. I don't know what's real and was 49 00:02:12,240 --> 00:02:12,560 Speaker 1: not real. 50 00:02:12,600 --> 00:02:14,200 Speaker 3: I have no idea, and that's what I warned you 51 00:02:14,240 --> 00:02:17,160 Speaker 3: about last year April fourteenth, twenty twenty three. So I'm 52 00:02:17,160 --> 00:02:20,600 Speaker 3: glad that everything we've done for the past fourteen years 53 00:02:20,639 --> 00:02:21,560 Speaker 3: is recorded because. 54 00:02:21,400 --> 00:02:22,920 Speaker 1: It's all a matter of historical record. 55 00:02:22,960 --> 00:02:24,720 Speaker 3: And I want to take this time this morning to 56 00:02:24,840 --> 00:02:28,040 Speaker 3: flash back to a warning I gave on April fourteenth, 57 00:02:28,040 --> 00:02:31,079 Speaker 3: twenty twenty three, because it was a PSA for where 58 00:02:31,080 --> 00:02:33,440 Speaker 3: we are today. Let's listen, Donkey, to day for is 59 00:02:33,480 --> 00:02:36,040 Speaker 3: more of a PSA than anything. I feel like I 60 00:02:36,120 --> 00:02:38,440 Speaker 3: just have to bring some public awareness to this latest 61 00:02:38,440 --> 00:02:40,280 Speaker 3: scam that is happening, and it's going to be the 62 00:02:40,280 --> 00:02:43,960 Speaker 3: first of many because humans have mutually assured our own 63 00:02:44,040 --> 00:02:47,680 Speaker 3: destruction by opening the doors for artificial intelligence. 64 00:02:47,720 --> 00:02:51,360 Speaker 1: I know technology, you know, Chanla mean you're old. You 65 00:02:51,360 --> 00:02:53,160 Speaker 1: have to embrace innovation. Listen to me. 66 00:02:53,200 --> 00:02:55,760 Speaker 3: Innovation is great, Okay, anything that can make our lives 67 00:02:55,800 --> 00:02:58,720 Speaker 3: easier and better, I'm all for it. But artificial intelligence 68 00:02:58,800 --> 00:03:00,680 Speaker 3: is not going to make our lives easy are better. 69 00:03:00,800 --> 00:03:03,520 Speaker 3: It's gonna make our lives harder and more difficult. Because 70 00:03:03,560 --> 00:03:05,680 Speaker 3: one of the hardest and most difficult things for people 71 00:03:05,720 --> 00:03:09,360 Speaker 3: to do over the last decade or so is determine what's. 72 00:03:09,200 --> 00:03:10,440 Speaker 1: Real and what's not. 73 00:03:11,040 --> 00:03:13,520 Speaker 3: And AI isn't going to blur the lines between reality 74 00:03:13,560 --> 00:03:16,480 Speaker 3: and fantasy. It's going to erase those lines period. Case 75 00:03:16,520 --> 00:03:19,359 Speaker 3: in point, the story, this story I'm about to tell 76 00:03:19,400 --> 00:03:23,359 Speaker 3: you all of Arizona. Mom, Jennifer di Stefano, Jennifer di 77 00:03:23,440 --> 00:03:26,040 Speaker 3: Stefano was at home minding her business and she got 78 00:03:26,040 --> 00:03:27,400 Speaker 3: a phone call. Would you like to know what the 79 00:03:27,440 --> 00:03:29,480 Speaker 3: phone call was about. Let's go to CBS five for 80 00:03:29,560 --> 00:03:29,960 Speaker 3: the report. 81 00:03:29,960 --> 00:03:31,360 Speaker 1: Police don't have the money. 82 00:03:31,360 --> 00:03:32,400 Speaker 5: Both you and your daughter are. 83 00:03:32,320 --> 00:03:36,760 Speaker 6: Death warning of close encounters with scammers who used artificial 84 00:03:36,800 --> 00:03:39,800 Speaker 6: intelligence to clone her daughter's voice. 85 00:03:40,000 --> 00:03:40,760 Speaker 1: Yeah, this is crazy. 86 00:03:40,760 --> 00:03:43,520 Speaker 4: They actually made her believe they had kidnapped her fifteen 87 00:03:43,600 --> 00:03:45,920 Speaker 4: year old and then they demanded a ransom. 88 00:03:46,320 --> 00:03:49,360 Speaker 1: So as on your size, Susan Campbell found out this 89 00:03:49,440 --> 00:03:49,960 Speaker 1: is crazy. 90 00:03:50,000 --> 00:03:52,680 Speaker 5: It doesn't take much of a voice sample to pull 91 00:03:52,760 --> 00:03:54,040 Speaker 5: this scam off. 92 00:03:55,240 --> 00:03:58,520 Speaker 7: The phone number was unfamiliar. Jennifer to Stefano almost let 93 00:03:58,520 --> 00:04:02,120 Speaker 7: it go to voicemail, but her fifteen year old was 94 00:04:02,120 --> 00:04:04,880 Speaker 7: out of town skiing maybe there had been an accident. 95 00:04:05,240 --> 00:04:07,360 Speaker 5: I pick up the phone and I hear my daughter's 96 00:04:07,440 --> 00:04:11,080 Speaker 5: voice and it says mom, and she's sobbing. And then 97 00:04:11,120 --> 00:04:13,200 Speaker 5: I hear a man's voice say, put your head back, 98 00:04:13,320 --> 00:04:15,760 Speaker 5: lie down. And this man gets on the phone and 99 00:04:15,800 --> 00:04:19,080 Speaker 5: he's like, listen here, I've got your daughter. This is 100 00:04:19,080 --> 00:04:21,680 Speaker 5: how it's gonna go down. You call the police, you 101 00:04:21,760 --> 00:04:24,160 Speaker 5: call anybody. I'm gonna pop her something so full of drugs. 102 00:04:24,200 --> 00:04:25,800 Speaker 5: I'm gonna have my way to throwna drop her off 103 00:04:25,800 --> 00:04:28,480 Speaker 5: in Mexico. And at that moment, I just started shaking. 104 00:04:28,560 --> 00:04:30,960 Speaker 5: I'm like what. In the background, she's going help me, Mom, 105 00:04:31,000 --> 00:04:33,960 Speaker 5: please help me, help me. In falling, I never doubt 106 00:04:33,960 --> 00:04:34,640 Speaker 5: it for one second. 107 00:04:34,680 --> 00:04:35,040 Speaker 3: It was her. 108 00:04:35,320 --> 00:04:39,440 Speaker 7: The person who had supposedly kidnapped Jennifer's daughter demanded money. 109 00:04:39,640 --> 00:04:41,440 Speaker 7: He started at a million dollars. 110 00:04:42,000 --> 00:04:44,320 Speaker 5: I was like that, I don't have a million dollars. 111 00:04:44,320 --> 00:04:47,119 Speaker 5: I'm like fine, whatever sort my daughter. Then he wants 112 00:04:47,120 --> 00:04:48,360 Speaker 5: fifty thousand dollars. 113 00:04:48,960 --> 00:04:53,320 Speaker 1: M humans, fear humans? How are we okay with this? Okay? 114 00:04:53,360 --> 00:04:55,359 Speaker 3: How is anybody okay with this? How come we are 115 00:04:55,440 --> 00:04:57,800 Speaker 3: choosing to be obtose to what is right around the corner. 116 00:04:57,880 --> 00:05:00,240 Speaker 3: I don't like any of this AI stuff, okay. In fact, 117 00:05:00,240 --> 00:05:02,880 Speaker 3: my spoder senses go off around anybody I'll see pushing 118 00:05:02,880 --> 00:05:04,880 Speaker 3: it because I'm like that person might be an agent. 119 00:05:05,000 --> 00:05:06,599 Speaker 3: All right, we live in a world right now where 120 00:05:06,600 --> 00:05:09,080 Speaker 3: people can't even handle fake tweets, So how the hell 121 00:05:09,120 --> 00:05:12,400 Speaker 3: will we handle AI? If you thought the misinformation campaigns 122 00:05:12,520 --> 00:05:15,159 Speaker 3: in the twenty sixteen and twenty twenty elections were nuts, 123 00:05:15,320 --> 00:05:17,960 Speaker 3: imagine what twenty twenty four is gonna look like. Folks 124 00:05:18,040 --> 00:05:20,520 Speaker 3: used to take videos and audios and edit them out 125 00:05:20,520 --> 00:05:23,880 Speaker 3: of context to manipulate people. Now I can do deep 126 00:05:23,920 --> 00:05:27,280 Speaker 3: fake videos and have AI simulation that can completely mimic. 127 00:05:27,040 --> 00:05:29,279 Speaker 1: My voice, the inflection, the emotion. 128 00:05:29,560 --> 00:05:31,960 Speaker 3: And we really want to unleash that evil on this 129 00:05:32,120 --> 00:05:36,080 Speaker 3: already stupid ass American society, Okay, which then will impact 130 00:05:36,160 --> 00:05:39,599 Speaker 3: the world. YouTube, social media to news, y'all already running 131 00:05:39,600 --> 00:05:41,560 Speaker 3: with a bunch of fake stories. Now what happens when 132 00:05:41,560 --> 00:05:45,000 Speaker 3: these news outlets start receiving audio leaks, of audio leaks 133 00:05:45,040 --> 00:05:49,240 Speaker 3: of fake AI conversations between world leaders threatening nuclear war, 134 00:05:49,560 --> 00:05:53,400 Speaker 3: Fake AI conversations from celebrities saying wild things about different 135 00:05:53,400 --> 00:05:55,800 Speaker 3: groups right before they have a movie or TV show 136 00:05:55,880 --> 00:05:56,680 Speaker 3: or book coming out. 137 00:05:56,800 --> 00:05:59,200 Speaker 1: Fake AI conversations between co workers. 138 00:06:00,000 --> 00:06:01,960 Speaker 3: You're running up on your coworkers because you heard they 139 00:06:02,000 --> 00:06:04,800 Speaker 3: was talking spicy about you, and it's just AI. Fake 140 00:06:04,880 --> 00:06:08,400 Speaker 3: AI conversations between your significant other and one of your homies. 141 00:06:08,600 --> 00:06:10,640 Speaker 3: You're gonna think your mate is cheating on you with 142 00:06:10,680 --> 00:06:13,560 Speaker 3: your best friend. Because of AI and human emotions move 143 00:06:13,600 --> 00:06:16,240 Speaker 3: it to speed of light. Nobody stops to think about 144 00:06:16,240 --> 00:06:18,359 Speaker 3: what's real and what's not real. It's just all about 145 00:06:18,360 --> 00:06:20,919 Speaker 3: what you feel. We don't feel the facts. We felt 146 00:06:20,920 --> 00:06:23,920 Speaker 3: the feelings, and nobody cares about their truth when the 147 00:06:24,080 --> 00:06:25,120 Speaker 3: lie is more entertaining. 148 00:06:25,200 --> 00:06:27,920 Speaker 1: But no, no, no, y'all need AI. Once again. 149 00:06:28,040 --> 00:06:30,440 Speaker 3: I'm just raising public awareness because the article I read 150 00:06:30,480 --> 00:06:33,320 Speaker 3: in the New York Post FBI agent said the only 151 00:06:33,360 --> 00:06:35,320 Speaker 3: way to stop it is to raise public awareness. Now, 152 00:06:35,360 --> 00:06:37,839 Speaker 3: if you're wondering how they are able to even get 153 00:06:37,880 --> 00:06:41,120 Speaker 3: your voice in the first place, listen to this man 154 00:06:41,160 --> 00:06:43,480 Speaker 3: whose name sounds like somebody on Mortal Kombat. 155 00:06:43,520 --> 00:06:45,440 Speaker 1: I can't pronounce it. Siberokum a body. 156 00:06:45,800 --> 00:06:48,440 Speaker 3: He's a computer science professor at Arizona State University. 157 00:06:48,480 --> 00:06:51,080 Speaker 1: He breaks it down, you can no longer trust you. 158 00:06:51,120 --> 00:06:52,640 Speaker 1: What is Zubero? 159 00:06:52,800 --> 00:06:55,720 Speaker 7: Common Body is a computer science professor at Arizona State. 160 00:06:55,760 --> 00:06:59,520 Speaker 7: He specializes in AI. He says voice cloning technology is 161 00:06:59,600 --> 00:07:00,560 Speaker 7: rapidly improving. 162 00:07:01,160 --> 00:07:03,680 Speaker 2: Now there are ways in which you can do this 163 00:07:03,800 --> 00:07:06,200 Speaker 2: with just three seconds of your voice. 164 00:07:06,440 --> 00:07:08,120 Speaker 1: So with the three seconds, it can. 165 00:07:08,080 --> 00:07:11,240 Speaker 3: Come extremely close to how exactly you sound, and. 166 00:07:11,200 --> 00:07:14,280 Speaker 7: You don't even need any special equipment. I chose a 167 00:07:14,320 --> 00:07:17,600 Speaker 7: free program for a test, and I'm not actually Tom King. 168 00:07:18,080 --> 00:07:21,160 Speaker 7: It's in you twy and you know, And I think 169 00:07:22,200 --> 00:07:25,000 Speaker 7: they could be great, good users, but certainly they can 170 00:07:25,040 --> 00:07:27,520 Speaker 7: be pretty What is some USSS to me? 171 00:07:28,000 --> 00:07:31,240 Speaker 3: We have all these conversations about secret societies and illuminati. 172 00:07:31,360 --> 00:07:32,080 Speaker 1: Let me tell you something. 173 00:07:32,160 --> 00:07:34,440 Speaker 3: Somebody has been planning this for the last thirty years 174 00:07:34,440 --> 00:07:37,240 Speaker 3: at least probably longer, and they've been patient. Think about 175 00:07:37,240 --> 00:07:39,480 Speaker 3: how many decades of data they have on all of us, 176 00:07:39,560 --> 00:07:43,160 Speaker 3: video audio from black Planet to MySpace, the Facebook to 177 00:07:43,200 --> 00:07:46,520 Speaker 3: Twitter and Instagram. The tiktac they got us already. All right, 178 00:07:46,560 --> 00:07:48,960 Speaker 3: there is no putting a twoth paste back into YouTube. 179 00:07:49,040 --> 00:07:53,200 Speaker 3: Y'all always having conversations about celebrities being cloned when the reality. 180 00:07:52,800 --> 00:07:54,960 Speaker 1: Is they have cloned all of us already. 181 00:07:55,240 --> 00:07:57,760 Speaker 3: Okay, Now, by the way, the situation in Arizona with 182 00:07:57,920 --> 00:07:58,720 Speaker 3: Jennifer isn't it. 183 00:07:58,720 --> 00:07:59,640 Speaker 1: It's not a one time thing. 184 00:07:59,640 --> 00:08:01,880 Speaker 3: It happened to a woman named Beth Royce last month, 185 00:08:02,000 --> 00:08:03,640 Speaker 3: and it happened in De Simbler to a woman named 186 00:08:03,720 --> 00:08:04,440 Speaker 3: Chelsea Gates. 187 00:08:04,480 --> 00:08:05,880 Speaker 1: And both cases a man. 188 00:08:05,720 --> 00:08:09,040 Speaker 3: Called threatened to kill a family member, in best case 189 00:08:09,040 --> 00:08:10,640 Speaker 3: her sister, in Chelsea case. 190 00:08:10,400 --> 00:08:10,880 Speaker 1: Her mom. 191 00:08:10,960 --> 00:08:13,800 Speaker 3: And in the background Beth and Chelsea could hear their 192 00:08:13,840 --> 00:08:16,920 Speaker 3: relatives crying and begging for help. And the men demanded 193 00:08:16,960 --> 00:08:19,680 Speaker 3: a thousand dollars, and of course Beth and Chelsea sent 194 00:08:19,760 --> 00:08:22,840 Speaker 3: the money. Okay, I truly don't see how people can't 195 00:08:22,840 --> 00:08:23,600 Speaker 3: see this coming. 196 00:08:23,840 --> 00:08:24,040 Speaker 1: Now. 197 00:08:24,160 --> 00:08:26,600 Speaker 3: FBI agent Dan Mayo has some tips on what we 198 00:08:26,600 --> 00:08:28,560 Speaker 3: should be looking out for. We all should be making 199 00:08:28,560 --> 00:08:30,200 Speaker 3: a note of this because this is about to be 200 00:08:30,280 --> 00:08:33,360 Speaker 3: our new reality, simply because humans can't help themselves. 201 00:08:33,440 --> 00:08:36,520 Speaker 1: Listen, you gotta slow down and diffuse the situation. 202 00:08:36,920 --> 00:08:39,640 Speaker 7: The FBI's Dan Man says, scammers who use voice cloning 203 00:08:39,840 --> 00:08:42,079 Speaker 7: often find their prey on social media. 204 00:08:42,120 --> 00:08:44,400 Speaker 6: They're going to be looking for public profiles that have 205 00:08:44,440 --> 00:08:47,120 Speaker 6: as much information as possible on you, and when they 206 00:08:47,120 --> 00:08:49,160 Speaker 6: get a hold of that, they're gonna dig into you. 207 00:08:49,679 --> 00:08:52,280 Speaker 7: The Federal Trade Commission says scammers will often ask their 208 00:08:52,360 --> 00:08:56,160 Speaker 7: victims to wire money, send cryptocurrency, or pay the ransom 209 00:08:56,240 --> 00:08:59,280 Speaker 7: with gift cards. Once the money is gone, it's almost 210 00:08:59,320 --> 00:09:01,000 Speaker 7: impossible to get it back. 211 00:09:01,320 --> 00:09:03,640 Speaker 6: The phone numbers coming from an area code that you're 212 00:09:03,679 --> 00:09:06,240 Speaker 6: not familiar with that should be one red flag, second 213 00:09:06,320 --> 00:09:09,120 Speaker 6: red flag international numbers. Sometimes they will call from those 214 00:09:09,160 --> 00:09:10,800 Speaker 6: as well, third red flag. 215 00:09:10,960 --> 00:09:11,959 Speaker 1: They will not allow you. 216 00:09:11,920 --> 00:09:14,400 Speaker 6: To get off the phone and talk to your significant other. Right, 217 00:09:14,600 --> 00:09:15,520 Speaker 6: that's a problem. 218 00:09:16,480 --> 00:09:17,840 Speaker 1: I'm end this how I started it. 219 00:09:18,000 --> 00:09:20,000 Speaker 3: I don't like any of this AI stuff simply because 220 00:09:20,040 --> 00:09:21,959 Speaker 3: I know you humans can't handle it. I didn't even 221 00:09:21,960 --> 00:09:24,240 Speaker 3: get into how chat GPT is gonna make people less 222 00:09:24,280 --> 00:09:26,360 Speaker 3: creative and how it's going to totally stop people from 223 00:09:26,520 --> 00:09:29,600 Speaker 3: really flexing those brain muscles. Writers in Hollywood, y'all show, 224 00:09:29,640 --> 00:09:31,200 Speaker 3: y'all want to go on a stripe right now? Not 225 00:09:31,320 --> 00:09:33,280 Speaker 3: to mention if you let it, If you let chat 226 00:09:33,320 --> 00:09:35,959 Speaker 3: GPT write a job proposal for you. What happens when 227 00:09:35,960 --> 00:09:37,920 Speaker 3: you actually have to sit with someone and explain that 228 00:09:37,960 --> 00:09:41,000 Speaker 3: proposal yourself. Not to mention the millions and millions of 229 00:09:41,080 --> 00:09:43,480 Speaker 3: jobs that are going to be lost Tech jobs, media jobs, 230 00:09:43,520 --> 00:09:46,000 Speaker 3: legal industry jobs, para legals, legal assistance. 231 00:09:46,160 --> 00:09:46,600 Speaker 1: You're done. 232 00:09:46,840 --> 00:09:51,680 Speaker 3: Teachers, finance jobs, personal financial advisors, financial analysis, financial analysts. 233 00:09:51,679 --> 00:09:52,559 Speaker 1: It's a rap for y'all. 234 00:09:52,679 --> 00:09:57,520 Speaker 3: Okay, my advice, build a wall around Silicon Valley before 235 00:09:57,520 --> 00:10:00,959 Speaker 3: it's too late. The job in life you saved might 236 00:10:01,000 --> 00:10:03,880 Speaker 3: be your own. Please give all these people already manipulating, 237 00:10:04,040 --> 00:10:06,719 Speaker 3: manipulating AI to scam folks the biggest he are. 238 00:10:10,160 --> 00:10:12,120 Speaker 1: I told y'all all of that last year. 239 00:10:12,040 --> 00:10:14,640 Speaker 3: April fourteenth, twenty twenty three, And you see where we 240 00:10:14,679 --> 00:10:17,520 Speaker 3: are now? Seeing reality for what it is is what 241 00:10:17,559 --> 00:10:21,120 Speaker 3: we call discernment. The work of discernment is very hard, 242 00:10:21,880 --> 00:10:24,079 Speaker 3: but discernment to me isn't hard at all. But in 243 00:10:24,120 --> 00:10:26,600 Speaker 3: twenty twenty four with AI, seeing reality for what. 244 00:10:26,600 --> 00:10:29,199 Speaker 1: It is will be virtually impossible. 245 00:10:29,559 --> 00:10:32,480 Speaker 3: Please once again, let remy ma give all these folks 246 00:10:32,520 --> 00:10:35,480 Speaker 3: using AI to manipulate our reality the biggest he are. 247 00:10:35,720 --> 00:10:40,520 Speaker 1: He ha, he ha, You stupid motheruck are you dumb. Now, 248 00:10:40,559 --> 00:10:41,800 Speaker 1: let's open up the phone lines. 249 00:10:42,160 --> 00:10:43,920 Speaker 3: Eight hundred have some more things I want to talk 250 00:10:43,920 --> 00:10:45,520 Speaker 3: to you all about about A yeah, but we'll do when. 251 00:10:45,360 --> 00:10:45,760 Speaker 1: We come back. 252 00:10:45,800 --> 00:10:47,880 Speaker 2: Eight hundred and five eight five one five one. Let's 253 00:10:47,880 --> 00:10:49,440 Speaker 2: talk about it. What are your thoughts on AI? Are 254 00:10:49,480 --> 00:10:51,520 Speaker 2: you scared? Doesn't make you nervous? Do you think it's good? 255 00:10:52,040 --> 00:10:53,800 Speaker 2: Let's discuss. We'll do it when we come back. It's 256 00:10:53,840 --> 00:10:56,760 Speaker 2: the Breakfast Club, Go morning, The Breakfast Club. 257 00:10:59,040 --> 00:10:59,240 Speaker 1: Dook. 258 00:10:59,280 --> 00:11:02,480 Speaker 3: Here today is by renowned personal injury attorney Michael to 259 00:11:02,520 --> 00:11:03,359 Speaker 3: Bull lambingsoft. 260 00:11:03,600 --> 00:11:05,480 Speaker 1: Don't be a donkey when you need a fighter on 261 00:11:05,520 --> 00:11:07,439 Speaker 1: your side. If you're ever injured, go to Michael to 262 00:11:07,440 --> 00:11:09,360 Speaker 1: bull dot com. That's Michael to bull dot com. And 263 00:11:09,400 --> 00:11:11,240 Speaker 1: when you mess with the bull, you get the horns