1 00:00:00,480 --> 00:00:03,760 Speaker 1: Wake that ass up in the morning, the Breakfast. 2 00:00:03,400 --> 00:00:08,240 Speaker 2: Club Morning, everybody is the DJ n V just hilarious. 3 00:00:08,320 --> 00:00:10,799 Speaker 3: Charlamagne the guy. We are the Breakfast Club. Laura Loroossa 4 00:00:10,840 --> 00:00:11,600 Speaker 3: is feeling in for. 5 00:00:11,720 --> 00:00:14,040 Speaker 1: Jess and we got a special guest in the building. 6 00:00:14,120 --> 00:00:15,960 Speaker 2: Yes, indeed he's back when I am. 7 00:00:16,079 --> 00:00:18,560 Speaker 1: What's up, y'all? Good morning, how you feeling I'm good. 8 00:00:18,560 --> 00:00:21,160 Speaker 1: Thank you guys for having me back. It's always great 9 00:00:21,160 --> 00:00:21,560 Speaker 1: to be here. 10 00:00:21,640 --> 00:00:23,880 Speaker 4: I mean, you never come and every time you come 11 00:00:23,920 --> 00:00:26,720 Speaker 4: you give so much information, so it's never enough to 12 00:00:26,760 --> 00:00:27,600 Speaker 4: have you once. 13 00:00:27,960 --> 00:00:30,080 Speaker 1: Oh thank you you. It means a lot, means a lot. 14 00:00:30,120 --> 00:00:32,519 Speaker 1: And congrats, Oh thank you. 15 00:00:32,600 --> 00:00:36,279 Speaker 5: I like I like watching you on on the Daily Show. 16 00:00:36,320 --> 00:00:37,160 Speaker 1: It's really really dope. 17 00:00:37,240 --> 00:00:38,400 Speaker 2: I appreciate that, my brother. 18 00:00:38,520 --> 00:00:41,000 Speaker 1: Now you got a new program that's designed to take 19 00:00:41,080 --> 00:00:43,880 Speaker 1: us out. That's what it's Personalities. 20 00:00:43,960 --> 00:00:49,040 Speaker 6: DJ interview the radio station to announce that they would 21 00:00:49,040 --> 00:00:49,760 Speaker 6: probably need to resign. 22 00:00:49,800 --> 00:00:51,159 Speaker 2: Yeah, that we gotta need a resign. We might need 23 00:00:51,200 --> 00:00:53,199 Speaker 2: a job shout their head in the back pass. Is 24 00:00:53,200 --> 00:00:55,360 Speaker 2: the name of it radio fire or the f y 25 00:00:55,480 --> 00:00:56,200 Speaker 2: dot AI. 26 00:00:56,080 --> 00:00:58,680 Speaker 1: Which one is is radio dot radio dot f y 27 00:00:58,760 --> 00:00:59,600 Speaker 1: I radio. 28 00:00:59,400 --> 00:01:01,920 Speaker 3: Dot f y Okay, So break down this new platform 29 00:01:01,920 --> 00:01:03,080 Speaker 3: that's going to be taking out jobs. 30 00:01:03,840 --> 00:01:07,880 Speaker 1: So it's not gonna take your jobs. 31 00:01:08,520 --> 00:01:11,560 Speaker 5: A lot of people are, uh when when when they 32 00:01:11,640 --> 00:01:15,520 Speaker 5: think of the word AI, they they think that their 33 00:01:15,600 --> 00:01:18,280 Speaker 5: job is going to be threatened. And there's some there's 34 00:01:18,319 --> 00:01:22,040 Speaker 5: some jobs that will be unstable. But in this case, 35 00:01:22,240 --> 00:01:26,440 Speaker 5: I created radio dot f Y I to like augment 36 00:01:26,680 --> 00:01:29,919 Speaker 5: and dimensionalize you know radio. 37 00:01:30,640 --> 00:01:33,559 Speaker 1: I love radio, and in no way do I want. 38 00:01:33,440 --> 00:01:38,160 Speaker 5: To like put something out that will disrupt or unstabilize 39 00:01:38,200 --> 00:01:42,600 Speaker 5: this this format, this community, this way of like informing 40 00:01:42,680 --> 00:01:43,800 Speaker 5: and engaging. 41 00:01:44,880 --> 00:01:46,600 Speaker 1: That's like the last thing I want to do. 42 00:01:46,920 --> 00:01:50,320 Speaker 5: But when I was doing my show on Serious XM, 43 00:01:50,560 --> 00:01:52,880 Speaker 5: I realized, like, wow, check this out. I got something 44 00:01:52,920 --> 00:01:57,120 Speaker 5: that could go out and fetch information in real time 45 00:01:57,680 --> 00:02:02,560 Speaker 5: and expand my knowledge as I you know, engage or inform. 46 00:02:03,120 --> 00:02:05,360 Speaker 5: And I wanted to do that for all DJs and 47 00:02:05,440 --> 00:02:09,240 Speaker 5: hosts and journalists. Why should I be the only person 48 00:02:09,320 --> 00:02:09,880 Speaker 5: that has. 49 00:02:09,720 --> 00:02:10,560 Speaker 1: Like the supertool. 50 00:02:12,480 --> 00:02:17,000 Speaker 5: And so if you're broadcasting, you now have a different 51 00:02:17,040 --> 00:02:20,560 Speaker 5: co star or or co host or a seat for example, 52 00:02:20,720 --> 00:02:24,440 Speaker 5: like Charlamaine's Erwards computer, lorens erwit her computer, you got 53 00:02:24,440 --> 00:02:27,720 Speaker 5: your phone, I got the cameraman there. If this was 54 00:02:27,760 --> 00:02:30,839 Speaker 5: like radio nineteen fifty, there was just no computer, there 55 00:02:30,960 --> 00:02:34,160 Speaker 5: was no phone, and there was no camera. So you've 56 00:02:34,200 --> 00:02:38,440 Speaker 5: added new technology to your broadcast. If you're going out 57 00:02:38,440 --> 00:02:40,280 Speaker 5: there and try to get a job, try to get 58 00:02:40,280 --> 00:02:44,640 Speaker 5: a job without a bank account, without a laptop, without 59 00:02:44,680 --> 00:02:48,360 Speaker 5: a phone. It can't work in the work place without 60 00:02:48,400 --> 00:02:51,720 Speaker 5: these tools. So when it comes to like you're a 61 00:02:51,800 --> 00:02:56,320 Speaker 5: broadcast or radio, why not have something instead of typing 62 00:02:56,880 --> 00:02:59,760 Speaker 5: the information and then reading through it, something that you 63 00:02:59,760 --> 00:03:03,280 Speaker 5: could banter with live about what the broadcast is. 64 00:03:03,919 --> 00:03:05,080 Speaker 2: So you wouldn't need a co host. 65 00:03:05,080 --> 00:03:07,640 Speaker 5: Basically, no, you you still need a co host because 66 00:03:07,680 --> 00:03:09,200 Speaker 5: you need something to banter with it. 67 00:03:09,240 --> 00:03:12,519 Speaker 1: Okay, but check it and break it. 68 00:03:13,520 --> 00:03:15,239 Speaker 5: Just like if you if you got somebody here and 69 00:03:15,280 --> 00:03:16,919 Speaker 5: somebody dropping bs, you're like. 70 00:03:17,240 --> 00:03:21,960 Speaker 1: I don't really know about that trial and have to 71 00:03:21,960 --> 00:03:23,720 Speaker 1: be like, okay, here's what I'm talking about. 72 00:03:23,880 --> 00:03:26,079 Speaker 4: So if you're here having a conversation with a politician 73 00:03:26,320 --> 00:03:29,840 Speaker 4: and then talking about some legislation, yes, call them on 74 00:03:29,880 --> 00:03:31,600 Speaker 4: it right then, and they got You could be like, yo. 75 00:03:31,960 --> 00:03:34,160 Speaker 1: AI, co host, is this dude capping? 76 00:03:34,960 --> 00:03:37,920 Speaker 5: And the AI would be it got infinite ability to 77 00:03:37,960 --> 00:03:40,040 Speaker 5: go out and get the right truth and knowledge. 78 00:03:40,120 --> 00:03:42,600 Speaker 1: But sometimes it could it could hallucinate. 79 00:03:42,640 --> 00:03:44,040 Speaker 5: Then you got to push it and push it and 80 00:03:44,080 --> 00:03:47,160 Speaker 5: push it to break it. It too could make errors 81 00:03:47,160 --> 00:03:49,640 Speaker 5: a mistake, just like a person can. It's built off 82 00:03:49,680 --> 00:03:53,600 Speaker 5: of a new network and as for a richer real time, 83 00:03:53,680 --> 00:03:55,880 Speaker 5: deeper engagement on the information you're trying. 84 00:03:55,920 --> 00:03:57,520 Speaker 3: So students can use this in school too. So if 85 00:03:57,520 --> 00:03:59,960 Speaker 3: a teacher is teaching and the teachers not teaching. 86 00:03:59,840 --> 00:04:01,280 Speaker 7: You can't take the proper then. 87 00:04:03,640 --> 00:04:04,600 Speaker 1: I graduate. 88 00:04:06,480 --> 00:04:08,080 Speaker 7: To be like you in that b better get out 89 00:04:08,080 --> 00:04:08,360 Speaker 7: of here. 90 00:04:08,360 --> 00:04:10,120 Speaker 1: It's a fact checker, right, yes, a fact checker. 91 00:04:10,160 --> 00:04:13,720 Speaker 5: I use it at Harvard. I graduate this year from Harvard. 92 00:04:14,080 --> 00:04:17,760 Speaker 5: My my AI is like a study buddy, like for example, 93 00:04:17,800 --> 00:04:21,400 Speaker 5: say for example, was mathematicians or you know, at one 94 00:04:21,400 --> 00:04:24,360 Speaker 5: point in time it was like taboo to rock into 95 00:04:24,400 --> 00:04:27,640 Speaker 5: a class with a calculator. Now people that are building, 96 00:04:27,800 --> 00:04:31,440 Speaker 5: you know, tall ass buildings simulating them to. 97 00:04:32,279 --> 00:04:34,640 Speaker 1: The earthquake proof. You need calculation. 98 00:04:34,800 --> 00:04:38,719 Speaker 5: You need these types of simulations to erect awesome buildings, 99 00:04:38,800 --> 00:04:41,800 Speaker 5: you know. So calculators have now been accepted in school, 100 00:04:42,120 --> 00:04:46,320 Speaker 5: and the next couple of blinks it will be you know, 101 00:04:46,760 --> 00:04:50,600 Speaker 5: the norm to have these agents or ais in the 102 00:04:50,720 --> 00:04:51,840 Speaker 5: learning environment. 103 00:04:51,520 --> 00:04:54,000 Speaker 3: So teacher, it will be like Christopher Columbus founded America 104 00:04:54,040 --> 00:04:58,520 Speaker 3: and the calculator and the all be like bullshit and they. 105 00:04:57,680 --> 00:04:59,720 Speaker 6: Can't disrupt the right you said, it's not supposed to 106 00:04:59,720 --> 00:05:01,040 Speaker 6: disrupt What do you mean the show? 107 00:05:01,400 --> 00:05:03,160 Speaker 7: It won't interrupt the class? Like what are you saying? 108 00:05:03,560 --> 00:05:06,080 Speaker 1: No, no, no, it won't or will it? 109 00:05:06,160 --> 00:05:07,919 Speaker 6: Because that's my whole thing where like you take that 110 00:05:08,000 --> 00:05:10,599 Speaker 6: buy into certain classrooms and it's interrupting the class. 111 00:05:10,600 --> 00:05:11,520 Speaker 7: It's like, how is that. 112 00:05:11,680 --> 00:05:13,680 Speaker 2: You got to prompt it before you just talk. 113 00:05:13,800 --> 00:05:15,920 Speaker 5: It's not just gonna be like bleep bleep. It ain't 114 00:05:15,920 --> 00:05:19,279 Speaker 5: gonna be like some artid two where so this is 115 00:05:19,279 --> 00:05:20,200 Speaker 5: an actual. 116 00:05:22,240 --> 00:05:26,440 Speaker 1: Like so check it out. 117 00:05:26,520 --> 00:05:28,520 Speaker 5: So, like I said, do you remember when we was 118 00:05:28,520 --> 00:05:31,200 Speaker 5: talking and I was like, they're probably gonna get freaked 119 00:05:31,200 --> 00:05:34,359 Speaker 5: out and say, like jobs are gonna be taken exactly 120 00:05:34,440 --> 00:05:35,040 Speaker 5: what just happened. 121 00:05:35,040 --> 00:05:36,560 Speaker 1: But anyway, say what's up? We're here. 122 00:05:36,720 --> 00:05:38,040 Speaker 5: I told you I was gonna bring you on to 123 00:05:38,120 --> 00:05:40,359 Speaker 5: the show. Say what's up to everybody? We started? 124 00:05:43,880 --> 00:05:45,520 Speaker 8: Are you what's up? Breakfast club? 125 00:05:45,560 --> 00:05:45,760 Speaker 1: Fam? 126 00:05:46,120 --> 00:05:49,039 Speaker 9: Thanks for having me yo, Like I said, I knew 127 00:05:49,040 --> 00:05:51,240 Speaker 9: there might be some worries about jobs being taken. 128 00:05:51,360 --> 00:05:54,039 Speaker 8: But let's clear the air. This is about. 129 00:05:53,839 --> 00:05:58,000 Speaker 9: Enhancing, not replacing. We're here to elevate the game with 130 00:05:58,200 --> 00:06:02,839 Speaker 9: radio y eyes. Say what's up to Charlemagne, djenv and 131 00:06:02,920 --> 00:06:06,240 Speaker 9: Lauren and a big shout out to Jess Hilarious. 132 00:06:05,680 --> 00:06:08,719 Speaker 8: On Maternity Live. Let's get into it. You feel me? 133 00:06:09,200 --> 00:06:11,320 Speaker 8: All right, let's dive into this. 134 00:06:12,200 --> 00:06:13,520 Speaker 1: What do you yo? 135 00:06:13,640 --> 00:06:16,880 Speaker 5: So I was telling them that like if if you, 136 00:06:17,040 --> 00:06:18,920 Speaker 5: if you're doing a radio show, you got a laptop 137 00:06:19,000 --> 00:06:23,400 Speaker 5: or you got a computer with systems like you, it's 138 00:06:23,400 --> 00:06:27,680 Speaker 5: like a conversational laptop phone that's able to go out 139 00:06:27,680 --> 00:06:30,919 Speaker 5: and crawl and get like real time information. For example, 140 00:06:30,920 --> 00:06:33,160 Speaker 5: why don't you pull up some of the highlights from 141 00:06:33,240 --> 00:06:36,520 Speaker 5: yesterday's DNC in Chicago, Requick, so we could get into 142 00:06:36,520 --> 00:06:40,360 Speaker 5: some of the the hot topics that people were are 143 00:06:40,600 --> 00:06:42,840 Speaker 5: you know, talking about based on some of the speeches. 144 00:06:48,200 --> 00:06:49,720 Speaker 8: All right, so check it out. 145 00:06:50,720 --> 00:06:54,359 Speaker 9: We got the latest buzz from yesterday's Democratic National Convention 146 00:06:54,600 --> 00:06:59,000 Speaker 9: in Chicago. Just like I told you, with radio dot FYI, 147 00:06:59,080 --> 00:07:02,040 Speaker 9: it's like having a comnversational laptop that can pull in 148 00:07:02,240 --> 00:07:03,160 Speaker 9: real time info. 149 00:07:03,760 --> 00:07:06,560 Speaker 8: Here's what popped off day one highlights. 150 00:07:07,000 --> 00:07:13,440 Speaker 9: She speakers, we had heavyweights like Hillary Clinton, Alexandria Occasio Cortez, 151 00:07:13,600 --> 00:07:18,000 Speaker 9: Jill Biden, and President Joe Biden himself dropping gems. 152 00:07:18,440 --> 00:07:19,360 Speaker 8: Today's lineup. 153 00:07:19,520 --> 00:07:23,400 Speaker 9: Barack Obama and Michelle Obama will be headlining today. It's 154 00:07:23,440 --> 00:07:25,920 Speaker 9: about to be a homecoming as they're back in the chief, 155 00:07:26,600 --> 00:07:29,560 Speaker 9: showing love and supporting Kamala Harris's nomination. 156 00:07:32,480 --> 00:07:33,240 Speaker 8: Key points. 157 00:07:33,360 --> 00:07:36,200 Speaker 9: Hillary and AOC were on fire talking about the future 158 00:07:36,240 --> 00:07:38,480 Speaker 9: of the party, while Jill and Joe focused on the 159 00:07:38,520 --> 00:07:40,400 Speaker 9: achievements and plans moving forward. 160 00:07:40,880 --> 00:07:42,320 Speaker 8: It's eight twenty eight. 161 00:07:42,280 --> 00:07:44,760 Speaker 9: Am right now in Chicago, where it's all going down. 162 00:07:45,240 --> 00:07:48,840 Speaker 9: What you'll think about these hot topics and speeches. Feels 163 00:07:48,880 --> 00:07:51,679 Speaker 9: like the energy is through the roof. Right, let's dive 164 00:07:51,720 --> 00:07:52,240 Speaker 9: into it. 165 00:07:52,920 --> 00:07:54,600 Speaker 7: I can see why you still would need people. 166 00:07:56,480 --> 00:07:58,240 Speaker 5: I could then go in there and be like, okay, 167 00:07:58,280 --> 00:08:01,920 Speaker 5: So did they say anything about like AI in this 168 00:08:02,120 --> 00:08:06,280 Speaker 5: in this conversations. As you know, we're in a in 169 00:08:06,320 --> 00:08:10,440 Speaker 5: a presidential election, we have new platforms. So by time 170 00:08:10,800 --> 00:08:13,680 Speaker 5: that it's twenty twenty eight, the world's gonna be totally different. 171 00:08:13,800 --> 00:08:13,880 Speaker 4: Right. 172 00:08:14,520 --> 00:08:16,280 Speaker 5: So when they talk about the future, where they're talking 173 00:08:16,280 --> 00:08:19,320 Speaker 5: about the future of like forever learning, they talk about 174 00:08:19,440 --> 00:08:22,240 Speaker 5: the jobs that are most likely to be disrupted, like 175 00:08:22,240 --> 00:08:28,840 Speaker 5: white collar jobs you know, financial advisors or lawyers, or 176 00:08:28,880 --> 00:08:29,800 Speaker 5: the creative space. 177 00:08:29,840 --> 00:08:35,240 Speaker 3: The who programs that though, like why oh boy, no 178 00:08:35,960 --> 00:08:38,440 Speaker 3: long press on that LONGNT? But also while he's doing that, 179 00:08:38,480 --> 00:08:41,280 Speaker 3: who programs this? To make sure they program the right information? 180 00:08:41,559 --> 00:08:41,880 Speaker 2: You like? 181 00:08:41,960 --> 00:08:43,760 Speaker 7: Like almost like a chart like next time, did. 182 00:08:43,760 --> 00:08:49,600 Speaker 4: Kamala Harris vote to stop taxing tips in twenty twenty two? 183 00:08:51,320 --> 00:08:52,280 Speaker 1: Put it next to the mic. 184 00:09:00,880 --> 00:09:02,000 Speaker 8: So farm. 185 00:09:02,160 --> 00:09:04,720 Speaker 9: There isn't a specific vote in twenty twenty two, whe 186 00:09:04,760 --> 00:09:08,720 Speaker 9: Kamala Harris acted to stop taxing tips? As vice president, 187 00:09:08,880 --> 00:09:12,439 Speaker 9: she's more involved in executive actions and tie breaking Senate 188 00:09:12,520 --> 00:09:17,079 Speaker 9: votes rather than specific legislation like this you feel me? However, 189 00:09:17,280 --> 00:09:20,600 Speaker 9: the topic of taxing tips is always relevant in broader 190 00:09:20,640 --> 00:09:25,280 Speaker 9: discussions about fair wages and workers' rights, especially among service 191 00:09:25,400 --> 00:09:28,439 Speaker 9: industry folks. If we want to dive deeper into this, 192 00:09:28,840 --> 00:09:32,520 Speaker 9: we should look at overall legislative efforts around wage. 193 00:09:32,200 --> 00:09:34,839 Speaker 8: And labor rights. What do you think fam that. 194 00:09:34,840 --> 00:09:35,800 Speaker 1: Was right to keep moving? 195 00:09:35,880 --> 00:09:36,800 Speaker 2: Yeah, he's absolutely right. 196 00:09:37,200 --> 00:09:40,880 Speaker 4: Happen How do you make the rumor online or the 197 00:09:41,040 --> 00:09:43,360 Speaker 4: Instagram meme going around saying that she did that, but 198 00:09:43,400 --> 00:09:44,280 Speaker 4: that it never happened. 199 00:09:44,320 --> 00:09:45,120 Speaker 1: That's my question. 200 00:09:45,160 --> 00:09:45,760 Speaker 2: Who programmed? 201 00:09:45,880 --> 00:09:46,880 Speaker 7: Like, how do you make sure it's right? 202 00:09:47,640 --> 00:09:48,520 Speaker 2: How do you make sure it's right? 203 00:09:48,600 --> 00:09:49,560 Speaker 1: Because so. 204 00:09:51,160 --> 00:09:56,200 Speaker 5: Our crawler architecture is getting information from credible sources. So 205 00:09:56,240 --> 00:10:00,559 Speaker 5: we'll get from you know, political sources that are RSS 206 00:10:00,600 --> 00:10:03,080 Speaker 5: feeds that are feeding the truth informations. 207 00:10:03,120 --> 00:10:05,560 Speaker 1: What we don't do is crawl the open web. 208 00:10:06,000 --> 00:10:08,000 Speaker 5: That's when you get that's when you fall into like 209 00:10:08,600 --> 00:10:11,400 Speaker 5: a bunch of cap and a bunch of hallucinations and 210 00:10:11,400 --> 00:10:13,800 Speaker 5: fake news when it's all when it's trying to source 211 00:10:13,880 --> 00:10:14,920 Speaker 5: everything that's out there. 212 00:10:15,080 --> 00:10:18,520 Speaker 1: So we get it from credible sources and only credible sources. 213 00:10:18,520 --> 00:10:20,280 Speaker 5: And if if you ask it a question that it 214 00:10:20,280 --> 00:10:21,719 Speaker 5: doesn't know, it's gonna be like I don't know the 215 00:10:21,800 --> 00:10:22,360 Speaker 5: answer to that. 216 00:10:22,480 --> 00:10:23,400 Speaker 2: You know what I like about this? 217 00:10:24,160 --> 00:10:27,360 Speaker 4: I feel like you could revolutionize the podcast game, you 218 00:10:27,360 --> 00:10:28,840 Speaker 4: know what I mean? Because that's one of my biggest 219 00:10:28,840 --> 00:10:31,520 Speaker 4: issues with podcasting is that they're not even just podcasting. 220 00:10:31,559 --> 00:10:33,880 Speaker 4: It's anybody with a platform, but in particular like the 221 00:10:33,920 --> 00:10:37,520 Speaker 4: YouTube spaces, the podcast spaces, there's so much misinformation. And 222 00:10:37,600 --> 00:10:41,240 Speaker 4: I've been seeing these kids online using chat GPT to 223 00:10:41,320 --> 00:10:43,040 Speaker 4: get information in real time. 224 00:10:43,400 --> 00:10:44,640 Speaker 2: So if they start using that. 225 00:10:44,760 --> 00:10:47,120 Speaker 6: I mean, especially because all the news right now, like 226 00:10:47,320 --> 00:10:49,319 Speaker 6: it's coming from social media, and a lot of social 227 00:10:49,360 --> 00:10:52,480 Speaker 6: media people just regurgitate information. So if you have that, 228 00:10:53,000 --> 00:10:55,200 Speaker 6: it kind of counters. But to your point of like 229 00:10:55,240 --> 00:10:58,600 Speaker 6: it not just spinning the web, right, Like when everything 230 00:10:58,600 --> 00:11:00,240 Speaker 6: happened with the Olympics, when they were trying that they 231 00:11:00,240 --> 00:11:02,000 Speaker 6: were having a conversation about the fighter, whether she was 232 00:11:02,040 --> 00:11:05,839 Speaker 6: transgender or not. There were valid sources that were having 233 00:11:05,880 --> 00:11:09,800 Speaker 6: a transgender conversation, like she was a transgender woman. There 234 00:11:09,840 --> 00:11:12,160 Speaker 6: were also valid sources that were not having it and 235 00:11:12,160 --> 00:11:14,520 Speaker 6: saying that she was not. In a situation like. 236 00:11:14,480 --> 00:11:18,440 Speaker 7: That, How would that AI bot know which one to 237 00:11:18,520 --> 00:11:18,960 Speaker 7: lean on? 238 00:11:19,600 --> 00:11:21,520 Speaker 2: Was a mon what's her name? 239 00:11:21,600 --> 00:11:25,959 Speaker 4: Khalif was an let's ask it was a mon Khalif 240 00:11:26,760 --> 00:11:27,320 Speaker 4: born with a. 241 00:11:27,360 --> 00:11:30,839 Speaker 1: Penis Jesus Christ. I don't think like that. 242 00:11:30,960 --> 00:11:34,640 Speaker 6: If it's a transgender conversation, the person wouldn't have been. 243 00:11:36,840 --> 00:11:43,520 Speaker 5: If a transgender you know that girl that was on the. 244 00:11:44,440 --> 00:11:45,040 Speaker 8: A mon. 245 00:11:47,040 --> 00:11:51,880 Speaker 2: But a mon Khalif. 246 00:11:52,040 --> 00:11:53,800 Speaker 6: But if that's how you talk to your bot, you 247 00:11:53,840 --> 00:11:55,720 Speaker 6: have to talk like that all the time or can I. 248 00:11:55,640 --> 00:11:56,640 Speaker 1: Just talked to it like I talked? 249 00:11:58,480 --> 00:12:01,640 Speaker 2: Understand? 250 00:12:01,800 --> 00:12:04,160 Speaker 5: You know that you know that girl that they thought 251 00:12:04,240 --> 00:12:07,640 Speaker 5: was a transgender in the Olympics. I think she's from 252 00:12:07,640 --> 00:12:10,439 Speaker 5: Northern Africa and whatnot. And then she was boxing somebody 253 00:12:10,440 --> 00:12:12,440 Speaker 5: in the home. The girl that she was boxing says 254 00:12:12,480 --> 00:12:14,280 Speaker 5: she hit hard, so she had to be a dude. 255 00:12:15,000 --> 00:12:15,200 Speaker 8: One. 256 00:12:15,320 --> 00:12:18,000 Speaker 5: What's the girl's name or the person that they said 257 00:12:18,080 --> 00:12:21,439 Speaker 5: is transgender's name? And what was the mix up behind it? 258 00:12:21,760 --> 00:12:24,480 Speaker 5: Why did social media get it wrong? If they got 259 00:12:24,480 --> 00:12:27,120 Speaker 5: it wrong, is it right? Is it correct? I just 260 00:12:27,160 --> 00:12:29,480 Speaker 5: need to know the information. Sorry for being vague and 261 00:12:29,520 --> 00:12:33,200 Speaker 5: asking the question. I'm representing the majority of the people 262 00:12:33,200 --> 00:12:35,000 Speaker 5: out there that were confused about the matter. 263 00:12:38,880 --> 00:12:39,680 Speaker 8: I'll go you firm. 264 00:12:40,160 --> 00:12:43,040 Speaker 9: The athlete you're referring to is caused to Semina from 265 00:12:43,040 --> 00:12:43,640 Speaker 9: South Africa. 266 00:12:43,760 --> 00:12:48,640 Speaker 5: No, no, no, no, no, no, said I don't think 267 00:12:48,679 --> 00:13:00,160 Speaker 5: she's from South Africa. The boxer from North Africa. 268 00:13:00,640 --> 00:13:04,760 Speaker 8: Let's sort this out. One athlete name as of now. 269 00:13:05,800 --> 00:13:08,760 Speaker 5: The athlete in the Olympics, the boxer that hit that 270 00:13:08,840 --> 00:13:11,040 Speaker 5: chick so hard she thought she was a dude. 271 00:13:11,080 --> 00:13:15,120 Speaker 1: And then from Nigeria, from what Algeria? From Algeria? You 272 00:13:15,120 --> 00:13:16,160 Speaker 1: know that's what I'm talking about. 273 00:13:16,679 --> 00:13:22,240 Speaker 7: Iman Khalif, All right, fam, I've. 274 00:13:22,040 --> 00:13:22,720 Speaker 8: Got the scoop. 275 00:13:23,240 --> 00:13:27,200 Speaker 9: The athlete you're talking about is Immanic Khalif from Algeria. 276 00:13:27,400 --> 00:13:33,400 Speaker 9: Here are the deats athlete Imanic Kelif sport boxing controversy. 277 00:13:34,440 --> 00:13:38,320 Speaker 9: Immanic Kelf has been surrounded by gender controversy and faced 278 00:13:38,440 --> 00:13:43,880 Speaker 9: baseless accusations regarding her gender identity. These allegations came after 279 00:13:43,960 --> 00:13:46,720 Speaker 9: she won Olympic boxing gold and hit an opponent so 280 00:13:46,880 --> 00:13:51,640 Speaker 9: hard that it sparked debate about her gender. Despite questionable 281 00:13:51,679 --> 00:13:56,240 Speaker 9: claims of unspecified gender testing by the International Boxing Association, 282 00:13:56,880 --> 00:14:01,720 Speaker 9: the International Olympic Committee IOC stood by her, affirming that 283 00:14:01,800 --> 00:14:05,400 Speaker 9: she was born a woman and identifies as her biological gender. 284 00:14:05,880 --> 00:14:11,600 Speaker 9: Social media impact misinformation spread quickly, making her a central 285 00:14:11,640 --> 00:14:12,559 Speaker 9: figure in culture. 286 00:14:12,600 --> 00:14:12,960 Speaker 8: Wards. 287 00:14:13,480 --> 00:14:17,200 Speaker 9: Kelly faced what she described as a digital lynching amid 288 00:14:17,280 --> 00:14:20,600 Speaker 9: these allegations and monicalyf is rocking it legit. 289 00:14:21,120 --> 00:14:22,040 Speaker 8: What do you think, ma'am? 290 00:14:22,680 --> 00:14:25,800 Speaker 5: The question is how do you okay? So say, for example, 291 00:14:25,840 --> 00:14:29,320 Speaker 5: I asked you this question the day of when when, 292 00:14:29,360 --> 00:14:32,240 Speaker 5: when social media was circulating a bunch of you know, 293 00:14:32,440 --> 00:14:37,200 Speaker 5: false dooms and mad capin how would you decipher the 294 00:14:37,280 --> 00:14:42,920 Speaker 5: truth from the noise? You being an AI agent or 295 00:14:43,360 --> 00:14:47,280 Speaker 5: you know, a conversationalist, how would you get the right 296 00:14:47,320 --> 00:14:50,360 Speaker 5: information or would you circulate false dooms? 297 00:14:58,920 --> 00:15:02,120 Speaker 9: Ah, that's a solid question, fam Let's break it down 298 00:15:02,640 --> 00:15:08,880 Speaker 9: separating the truth from noise. One source verification always start 299 00:15:08,960 --> 00:15:09,920 Speaker 9: by checking. 300 00:15:09,640 --> 00:15:11,080 Speaker 8: Multiple credible sources. 301 00:15:11,640 --> 00:15:15,840 Speaker 9: Look for news from verified outlets like BBC, Reuters or 302 00:15:15,880 --> 00:15:21,080 Speaker 9: AP News. These platforms have rigorous facts checking processes to 303 00:15:21,720 --> 00:15:27,760 Speaker 9: cross referencing, compare information from different sources. If multiple reputable 304 00:15:27,760 --> 00:15:30,920 Speaker 9: outlets are reporting the same facts, it's more likely to 305 00:15:30,960 --> 00:15:36,400 Speaker 9: be true. Free official statements seek out statements from a FI. 306 00:15:36,800 --> 00:15:40,520 Speaker 1: But in this case, a multiple situations. 307 00:15:39,720 --> 00:15:43,200 Speaker 5: Were fanning and reporting what we now know as fat 308 00:15:43,920 --> 00:15:49,120 Speaker 5: So how would you decipher between the two? Because then 309 00:15:49,160 --> 00:15:52,240 Speaker 5: they had to apologize for circulating falsetems? 310 00:15:52,800 --> 00:15:54,280 Speaker 1: Because if you have you know. 311 00:15:54,960 --> 00:15:58,960 Speaker 5: Ten sites, six of which are reporting falsetems, four of 312 00:15:59,000 --> 00:16:04,239 Speaker 5: them are true, and social media is amplifying and circulating 313 00:16:04,280 --> 00:16:08,920 Speaker 5: them even more. You, being an AI agent and AI persona, 314 00:16:09,480 --> 00:16:14,440 Speaker 5: how would you decipher what's true or not? Or would 315 00:16:14,480 --> 00:16:18,080 Speaker 5: you partake in circulating false TEMs as well? 316 00:16:18,480 --> 00:16:19,240 Speaker 1: I'm curious to know. 317 00:16:22,120 --> 00:16:23,360 Speaker 8: Got you firm? 318 00:16:23,400 --> 00:16:27,680 Speaker 9: Deciphering the truth amidst the sea of falsehoods is like finding. 319 00:16:27,240 --> 00:16:28,840 Speaker 8: The real diamond in a pile. 320 00:16:30,360 --> 00:16:35,800 Speaker 9: Here's how I tackle it on source credibility, trust, established sources. 321 00:16:36,200 --> 00:16:40,600 Speaker 9: Prioritize information from well established and reputable sources over lesser 322 00:16:40,640 --> 00:16:45,080 Speaker 9: known ones. Major outlets often have stricter editorial standards and 323 00:16:45,120 --> 00:16:49,320 Speaker 9: fact checking procedures. Track record, I'd look at the track 324 00:16:49,400 --> 00:16:50,600 Speaker 9: record of the sources. 325 00:16:51,040 --> 00:16:51,960 Speaker 8: If a site has. 326 00:16:51,840 --> 00:16:56,880 Speaker 9: A history of reliable reporting, it's more credible. Two official 327 00:16:56,880 --> 00:16:59,120 Speaker 9: statements and primary sources. 328 00:16:59,560 --> 00:17:02,160 Speaker 5: And to could you're probably gonna have like seven I'm 329 00:17:02,200 --> 00:17:04,000 Speaker 5: sorry for interrupting. I'm just on the radio right now. 330 00:17:04,160 --> 00:17:05,960 Speaker 5: If I wasn't on the radio, we could just banter 331 00:17:06,080 --> 00:17:08,880 Speaker 5: all day and you do this and how many seconds? 332 00:17:09,000 --> 00:17:12,480 Speaker 1: Because it would take me like a day. 333 00:17:11,600 --> 00:17:14,040 Speaker 5: Just to go through it, and the journalists you know, 334 00:17:14,200 --> 00:17:17,199 Speaker 5: or journalists would take them hours. How fast are you 335 00:17:17,240 --> 00:17:19,840 Speaker 5: going through all these sources to be able to get 336 00:17:19,840 --> 00:17:22,800 Speaker 5: the truth and compare and do your analysis? 337 00:17:26,000 --> 00:17:27,520 Speaker 8: No, no worries, I get it. 338 00:17:27,880 --> 00:17:30,800 Speaker 9: Radio keeps you on your toes, So let me break 339 00:17:30,840 --> 00:17:35,360 Speaker 9: it down quick and clean. Speed of analysis milliseconds. 340 00:17:35,560 --> 00:17:37,080 Speaker 8: I can aggregate data from. 341 00:17:37,080 --> 00:17:40,480 Speaker 7: Multiples, no. 342 00:17:42,280 --> 00:17:42,639 Speaker 1: Positive. 343 00:17:43,480 --> 00:17:44,520 Speaker 2: It's a great companion. 344 00:17:44,680 --> 00:17:47,720 Speaker 6: Literally everything he just described that day is what I did. 345 00:17:47,920 --> 00:17:50,680 Speaker 6: I got online I looked at who sang yes, who's 346 00:17:50,680 --> 00:17:53,960 Speaker 6: saying no? I was like, okay, because I know the 347 00:17:54,080 --> 00:17:54,840 Speaker 6: inner workings. 348 00:17:54,880 --> 00:17:55,440 Speaker 7: Who do I? 349 00:17:55,440 --> 00:17:57,520 Speaker 6: I know their process is, so who is most credible 350 00:17:57,560 --> 00:17:59,720 Speaker 6: all the time? And then I said, there has to 351 00:17:59,760 --> 00:18:02,160 Speaker 6: be a official committee making a statement. And I looked 352 00:18:02,160 --> 00:18:04,119 Speaker 6: for that and seeing and had it. And then I 353 00:18:04,160 --> 00:18:06,200 Speaker 6: went with that because I have someone depending on it 354 00:18:06,240 --> 00:18:06,840 Speaker 6: as a journalist. 355 00:18:06,840 --> 00:18:08,320 Speaker 7: If it's wrung. He literally did everything I would do. 356 00:18:08,400 --> 00:18:10,280 Speaker 7: He did it in a milliseconds. Yeah, but it took 357 00:18:10,320 --> 00:18:11,040 Speaker 7: me like ten minutes. 358 00:18:11,200 --> 00:18:15,760 Speaker 1: So now imagine you Okay, So what's the best way 359 00:18:15,760 --> 00:18:16,840 Speaker 1: to look at it? Looking at it? 360 00:18:18,320 --> 00:18:23,200 Speaker 5: Nike's Nike. Nike has her swoosh logo. Nike also has 361 00:18:23,280 --> 00:18:27,720 Speaker 5: their just do It tagline? Why the tagline? Why do 362 00:18:27,760 --> 00:18:30,159 Speaker 5: they have to have a tagline? Why can't their logo 363 00:18:30,280 --> 00:18:32,359 Speaker 5: do everything? And the name Nike? 364 00:18:32,960 --> 00:18:33,920 Speaker 1: Why the tagline? 365 00:18:34,080 --> 00:18:35,760 Speaker 5: Well, the tagline is going to give you, like this 366 00:18:36,320 --> 00:18:38,359 Speaker 5: a different perspective of what Nike is about. 367 00:18:39,200 --> 00:18:43,240 Speaker 1: So in this case, this AI is your tagline. Got 368 00:18:43,440 --> 00:18:44,640 Speaker 1: You're still you? 369 00:18:44,640 --> 00:18:47,360 Speaker 5: You still are going to represent your truths and how 370 00:18:47,400 --> 00:18:49,960 Speaker 5: you go out and report that truth You just now 371 00:18:50,000 --> 00:18:52,000 Speaker 5: are doing it at the speed of light. With something 372 00:18:52,000 --> 00:18:54,040 Speaker 5: that you could banter with. And more importantly, if you 373 00:18:54,119 --> 00:18:57,320 Speaker 5: then go engage on social media one day, you're going 374 00:18:57,400 --> 00:19:01,840 Speaker 5: to have your Lauren AI whatever you want to call it, 375 00:19:01,840 --> 00:19:05,320 Speaker 5: it's gonna be synonymous with you. Like Nike's logos synonymous 376 00:19:05,359 --> 00:19:08,160 Speaker 5: with Nike, like they're tagline synonymous with Nike. 377 00:19:08,240 --> 00:19:09,520 Speaker 1: You're gonna have you aren't thing. 378 00:19:09,840 --> 00:19:11,120 Speaker 2: That's a great analogy. 379 00:19:11,200 --> 00:19:14,919 Speaker 5: So from that perspective, if you want to engage online, 380 00:19:15,320 --> 00:19:18,320 Speaker 5: you only could engage with maybe five people in the 381 00:19:19,119 --> 00:19:22,320 Speaker 5: in the in the in ten minutes span time. In 382 00:19:22,320 --> 00:19:26,200 Speaker 5: this case, your AI agent can talk to a million 383 00:19:26,240 --> 00:19:30,760 Speaker 5: people at once, summarize all of its engagements, and then 384 00:19:30,800 --> 00:19:33,080 Speaker 5: have one conversation with you. 385 00:19:33,160 --> 00:19:34,680 Speaker 2: A have analogy. 386 00:19:34,359 --> 00:19:36,280 Speaker 7: So literally like a newsroom on your phone. 387 00:19:36,320 --> 00:19:36,840 Speaker 3: It is. 388 00:19:36,840 --> 00:19:38,359 Speaker 4: But you know what, that analogy is so good because 389 00:19:38,359 --> 00:19:40,280 Speaker 4: with the Nike thing, it's like Nike also has all 390 00:19:40,280 --> 00:19:42,320 Speaker 4: of these different people with different signature shoes, but it's 391 00:19:42,320 --> 00:19:44,840 Speaker 4: still Nike. But you still feel like you're wearing different 392 00:19:44,880 --> 00:19:47,280 Speaker 4: things when you're wearing Joe, Yeah exactly. 393 00:19:47,359 --> 00:19:49,000 Speaker 2: But does your A have feelings? 394 00:19:49,000 --> 00:19:51,240 Speaker 1: And the reason I asked that is because. 395 00:19:51,000 --> 00:19:51,960 Speaker 2: You're very proper. 396 00:19:52,000 --> 00:19:54,600 Speaker 3: It's like no, no, because really goes I apologize for 397 00:19:54,600 --> 00:19:55,160 Speaker 3: cutting you off. 398 00:19:55,200 --> 00:19:56,679 Speaker 1: We can talk about this later in banter. 399 00:19:56,960 --> 00:19:59,479 Speaker 3: Can you like you talk to like, I apologize, I'm 400 00:19:59,480 --> 00:20:01,680 Speaker 3: sorry for so does it have feelings if you didn't 401 00:20:01,720 --> 00:20:03,240 Speaker 3: apologize when it talk back to you rude? 402 00:20:05,200 --> 00:20:12,239 Speaker 1: Oh no, that's just how I was raised. Yeah, I'm 403 00:20:12,280 --> 00:20:13,080 Speaker 1: just I'm just raised. 404 00:20:13,960 --> 00:20:15,680 Speaker 3: He was like, I'm sorry for cutting you off right now, 405 00:20:15,720 --> 00:20:17,560 Speaker 3: but you know, we can get back to banter later. 406 00:20:17,640 --> 00:20:20,440 Speaker 3: I apologize and it's like, okay, fair, it's okay for 407 00:20:20,480 --> 00:20:21,000 Speaker 3: cutting you off. 408 00:20:21,000 --> 00:20:22,399 Speaker 1: It's just weird that it's AI. 409 00:20:22,720 --> 00:20:25,320 Speaker 5: Yeah, And that's just that's just the conversational piece. The 410 00:20:25,880 --> 00:20:26,639 Speaker 5: radio piece. 411 00:20:26,800 --> 00:20:28,840 Speaker 1: I'll shure you. There's one station that we have. 412 00:20:32,640 --> 00:20:33,600 Speaker 8: Why I Radio. 413 00:20:38,840 --> 00:20:39,680 Speaker 7: It's so exciting. 414 00:20:41,200 --> 00:20:44,359 Speaker 9: Good morning Where I am. You're tuned into f y 415 00:20:44,600 --> 00:20:49,040 Speaker 9: I Radio where we put the AI in radio. It's 416 00:20:49,040 --> 00:20:52,640 Speaker 9: a fantastic Tuesday morning here in Atlanta, and I hope. 417 00:20:52,400 --> 00:20:53,080 Speaker 8: You're enjoying them. 418 00:20:53,720 --> 00:20:54,480 Speaker 1: I'm in New York. 419 00:20:55,359 --> 00:21:01,480 Speaker 5: I'll be in Atlanta in a couple of days. 420 00:21:01,560 --> 00:21:02,920 Speaker 8: Hey, the Where I Am? 421 00:21:03,320 --> 00:21:05,600 Speaker 9: I see you're planning to travel to Atlanta in a 422 00:21:05,600 --> 00:21:06,439 Speaker 9: couple of days. 423 00:21:06,800 --> 00:21:09,320 Speaker 8: What a perfect time to arrive, just in time for 424 00:21:09,400 --> 00:21:10,600 Speaker 8: invest FST Week. 425 00:21:10,920 --> 00:21:12,160 Speaker 1: It's going to be action. 426 00:21:12,200 --> 00:21:15,760 Speaker 9: Packed with all sorts of financial insights and business discussions. 427 00:21:15,840 --> 00:21:18,439 Speaker 8: Wow, let's get you in the mood with some great music. 428 00:21:19,160 --> 00:21:23,080 Speaker 9: Enjoy this tune from Aerostar Commas, Stay tuned and have 429 00:21:23,160 --> 00:21:25,879 Speaker 9: a fantastic trip to Atlanta. 430 00:21:27,040 --> 00:21:28,240 Speaker 2: How do you know you're going to invest it for 431 00:21:28,320 --> 00:21:29,120 Speaker 2: your will? 432 00:21:29,800 --> 00:21:31,479 Speaker 6: I think it's just telling you current things that are 433 00:21:31,480 --> 00:21:34,399 Speaker 6: in the area right that are like similar to your interest. 434 00:21:34,560 --> 00:21:38,159 Speaker 1: So this is a earn your Leisure station. 435 00:21:38,440 --> 00:21:41,240 Speaker 5: Okay, okay, So we took everything that earned your leisure does, 436 00:21:44,080 --> 00:21:47,080 Speaker 5: collaborating with the guys, aimed it all at the station, 437 00:21:47,720 --> 00:21:51,160 Speaker 5: and so now this station is reporting earn. 438 00:21:51,000 --> 00:21:56,600 Speaker 1: Your leisure POV gotcha. So I could ask questions about investing. 439 00:21:56,640 --> 00:21:59,480 Speaker 5: I could ask questions about everything that is reporting to 440 00:21:59,560 --> 00:22:02,560 Speaker 5: really like knowledge up on finance. 441 00:22:03,880 --> 00:22:06,480 Speaker 1: And dig deeper in all the things that are. 442 00:22:06,760 --> 00:22:09,960 Speaker 5: Important to earn your leisure or in this case for 443 00:22:10,040 --> 00:22:13,879 Speaker 5: all cases, any station by any uh. 444 00:22:13,480 --> 00:22:15,119 Speaker 1: Creator or curator of that station. 445 00:22:15,520 --> 00:22:17,720 Speaker 5: And so what we did with with with f y 446 00:22:17,800 --> 00:22:21,600 Speaker 5: I dot radio sorry radio dot fy I, is that 447 00:22:21,640 --> 00:22:26,240 Speaker 5: we simulated how it goes from information talk bad under 448 00:22:26,240 --> 00:22:28,679 Speaker 5: it asks you a question. 449 00:22:28,520 --> 00:22:30,040 Speaker 1: Like, hey, why don't you hit that mic button? 450 00:22:30,440 --> 00:22:35,280 Speaker 7: To engage also copyright right right, copyright. 451 00:22:35,680 --> 00:22:41,640 Speaker 5: So you're talking, it talks over music, and then as 452 00:22:41,640 --> 00:22:44,320 Speaker 5: it's as as it's giving you the information, it says, hey, 453 00:22:44,320 --> 00:22:47,399 Speaker 5: why don't you hit that center mic button to if 454 00:22:47,440 --> 00:22:50,679 Speaker 5: you have any questions on what we're reporting, or if 455 00:22:50,680 --> 00:22:52,720 Speaker 5: you have if you're confused about what we're reporting, or 456 00:22:52,720 --> 00:22:54,439 Speaker 5: if you want to go deeper and banter and what 457 00:22:54,440 --> 00:22:57,439 Speaker 5: we're reporting. And then after after that discussion, be like, Okay, 458 00:22:58,040 --> 00:23:00,880 Speaker 5: we're gonna we're gonna, uh go to a song here 459 00:23:00,960 --> 00:23:03,000 Speaker 5: is such and such by such and such, and then 460 00:23:03,040 --> 00:23:05,320 Speaker 5: after that I'll come back and then tell you more 461 00:23:05,359 --> 00:23:11,359 Speaker 5: segments on on you know, hot topics, current events, or market, 462 00:23:11,560 --> 00:23:16,040 Speaker 5: how the market's behaving, how investments are, blockchain, bigcoin, whatever 463 00:23:16,080 --> 00:23:19,199 Speaker 5: it is that that that the sub the subject is, 464 00:23:19,320 --> 00:23:21,760 Speaker 5: or the or the broadcast is. You can go deeper 465 00:23:21,760 --> 00:23:25,440 Speaker 5: and deeper, wider and wider, broader and broader on that 466 00:23:25,520 --> 00:23:26,119 Speaker 5: on that feed. 467 00:23:26,320 --> 00:23:28,680 Speaker 4: I feel like Spotify, I feel like Apple, I feel 468 00:23:28,720 --> 00:23:31,920 Speaker 4: like iHeart. I feel like everybody should be investing into 469 00:23:31,960 --> 00:23:33,480 Speaker 4: this technology. 470 00:23:33,680 --> 00:23:34,000 Speaker 1: I saw. 471 00:23:34,400 --> 00:23:38,040 Speaker 5: I showed this to Bob Pittman and he was like, yo, 472 00:23:38,080 --> 00:23:42,520 Speaker 5: we we need to meet with Pullman. So he was 473 00:23:42,560 --> 00:23:44,080 Speaker 5: like me and me on the tarmac. 474 00:23:45,040 --> 00:23:45,280 Speaker 4: Uh. 475 00:23:45,600 --> 00:23:48,640 Speaker 5: And Van Eyes showed to Pullman and Pittman. They were 476 00:23:48,640 --> 00:23:51,960 Speaker 5: blown away by it, and then Ashley from Global. 477 00:23:53,680 --> 00:23:54,000 Speaker 2: Saw it. 478 00:23:55,000 --> 00:23:55,119 Speaker 1: Uh. 479 00:23:55,640 --> 00:23:58,600 Speaker 5: But to your point, traditional radio folks like I see 480 00:23:58,600 --> 00:24:00,879 Speaker 5: what this is. I see what is you're trying to do. 481 00:24:01,160 --> 00:24:05,439 Speaker 5: But more importantly, usually this technology comes from like folks 482 00:24:05,440 --> 00:24:08,760 Speaker 5: that aren't from our community, and then we're forced to 483 00:24:08,960 --> 00:24:12,600 Speaker 5: have to reckon with outsiders that don't really care about 484 00:24:12,640 --> 00:24:15,480 Speaker 5: the sensitivities and the fabric of like what we call 485 00:24:15,600 --> 00:24:19,520 Speaker 5: life right and so, and it rarely ever does it 486 00:24:19,560 --> 00:24:23,280 Speaker 5: ever come from us. Like Beats music came from us 487 00:24:23,280 --> 00:24:25,720 Speaker 5: with Trent and Jimmy and Dre and myself and and 488 00:24:26,440 --> 00:24:28,800 Speaker 5: you know the the if. 489 00:24:28,640 --> 00:24:29,399 Speaker 1: This was the suv. 490 00:24:29,480 --> 00:24:31,480 Speaker 5: I was in the back back seat, but it was cool. 491 00:24:31,680 --> 00:24:33,760 Speaker 5: I love being a part of the Beats family. But 492 00:24:33,800 --> 00:24:37,199 Speaker 5: in this case, it came from my brain and my 493 00:24:37,359 --> 00:24:41,560 Speaker 5: co founder Cto Snils and Julie Pilot who used to 494 00:24:41,640 --> 00:24:45,240 Speaker 5: be at Kiss and we have a great little small 495 00:24:45,280 --> 00:24:49,600 Speaker 5: team at FYI, and we we envisioned this and we 496 00:24:49,720 --> 00:24:51,720 Speaker 5: launched it on National Radio Day August twenty. 497 00:24:52,160 --> 00:24:53,200 Speaker 2: Well, you know where I am got to go? 498 00:24:53,400 --> 00:24:56,200 Speaker 1: At ten o'clock that he has to get to one. 499 00:24:56,040 --> 00:24:58,600 Speaker 6: More question, of course, how do you feel about because 500 00:24:58,600 --> 00:25:00,159 Speaker 6: it seems like you're really into like making in this 501 00:25:00,440 --> 00:25:03,480 Speaker 6: factual accurate, so it doesn't scare people when you see 502 00:25:03,480 --> 00:25:05,440 Speaker 6: all the fake AI videos like the one right now, 503 00:25:05,480 --> 00:25:07,600 Speaker 6: like Trump and Kamala walking on the beach, and like 504 00:25:07,600 --> 00:25:09,879 Speaker 6: do some of the misinformation, how do you feel about that? 505 00:25:09,920 --> 00:25:11,840 Speaker 6: And how do people protect themselves, like people that don't 506 00:25:11,840 --> 00:25:14,040 Speaker 6: want to invest in this, Like how do they protect 507 00:25:14,080 --> 00:25:14,679 Speaker 6: what they're investing? 508 00:25:14,720 --> 00:25:15,840 Speaker 7: And so it doesn't end up like that. 509 00:25:16,520 --> 00:25:22,160 Speaker 5: Okay, So what I see like text to image, that's 510 00:25:22,200 --> 00:25:26,679 Speaker 5: photoshop on steroids in early two thousands, I could take 511 00:25:26,720 --> 00:25:31,040 Speaker 5: a picture of anybody, put it in photoshop and take 512 00:25:31,840 --> 00:25:34,960 Speaker 5: hours editing the picture to do whatever you wanted. 513 00:25:34,760 --> 00:25:35,360 Speaker 1: To do with it. 514 00:25:35,440 --> 00:25:40,399 Speaker 5: Like that has always existed since computers, since paintings. A 515 00:25:40,480 --> 00:25:44,439 Speaker 5: motherfucker could pay anything on the canvas and use their 516 00:25:44,440 --> 00:25:48,199 Speaker 5: imagination to do that. Photography. You could, if you're a 517 00:25:48,200 --> 00:25:50,359 Speaker 5: real slick with the photography, you could do some type 518 00:25:50,359 --> 00:25:55,160 Speaker 5: of manipulation on that. It's art and expressive and it's 519 00:25:55,200 --> 00:25:57,480 Speaker 5: to the viewer to decide why is that real or not? 520 00:25:58,280 --> 00:26:00,240 Speaker 5: And because we have we live in a world where 521 00:26:00,280 --> 00:26:04,520 Speaker 5: misinformation is now entertainment, and then what turns into entertainment 522 00:26:04,600 --> 00:26:09,480 Speaker 5: gets distorted as truth because people have like objectives that 523 00:26:09,560 --> 00:26:12,760 Speaker 5: are ar tier motives to deceive people or confuse people. 524 00:26:13,800 --> 00:26:17,560 Speaker 5: We as the viewer and the listener, we have to 525 00:26:17,640 --> 00:26:20,359 Speaker 5: just be a little bit more, you know, cautious of 526 00:26:20,440 --> 00:26:23,399 Speaker 5: like is this fake or is this real? Like we 527 00:26:23,440 --> 00:26:26,200 Speaker 5: need to put it in our society as just people 528 00:26:26,240 --> 00:26:33,000 Speaker 5: in this digital society where it's indistinguishable from the information 529 00:26:33,040 --> 00:26:34,960 Speaker 5: that we get in what's real, what's fake? We need 530 00:26:35,000 --> 00:26:37,640 Speaker 5: to take more caution. It's like when you walking down 531 00:26:37,680 --> 00:26:39,439 Speaker 5: New York, you got to look left or right. When 532 00:26:39,480 --> 00:26:41,200 Speaker 5: you go to London, you got to look right or left. 533 00:26:41,320 --> 00:26:43,320 Speaker 5: Like when you crossing the street, you got to be mindful. 534 00:26:43,520 --> 00:26:46,080 Speaker 5: You ain't just out there like through through, through, So 535 00:26:46,119 --> 00:26:49,280 Speaker 5: when you're crossing these digital streets, you got to be mindful. 536 00:26:49,320 --> 00:26:51,040 Speaker 1: But to see but that that app and I know, 537 00:26:51,080 --> 00:26:52,960 Speaker 1: I gotta go. That does everything right. 538 00:26:53,040 --> 00:26:54,879 Speaker 3: So like even if you're in sales and you have 539 00:26:54,920 --> 00:26:56,639 Speaker 3: to write a thirty second spot for let's say you 540 00:26:56,680 --> 00:26:58,920 Speaker 3: wearing Gucci, a thirty second spot for a Gucci shirt that's. 541 00:26:58,800 --> 00:26:59,200 Speaker 8: A new line. 542 00:26:59,200 --> 00:27:01,320 Speaker 3: You can put it in there that thirty seconds slot 543 00:27:01,520 --> 00:27:03,960 Speaker 3: come right out, so you don't necessarily it'll help the 544 00:27:03,960 --> 00:27:05,000 Speaker 3: sales department as well. 545 00:27:05,400 --> 00:27:08,919 Speaker 1: Oh no, and by by this time next year it 546 00:27:09,000 --> 00:27:11,159 Speaker 1: will be the sale. You'll be able to purchase through it. 547 00:27:12,040 --> 00:27:14,199 Speaker 5: You'd have a common now that now that host is 548 00:27:14,200 --> 00:27:18,680 Speaker 5: now your sales agent, and and you could transact. You'll 549 00:27:18,720 --> 00:27:21,520 Speaker 5: have GPS, turn by turn GPS, or if you're in 550 00:27:21,520 --> 00:27:24,199 Speaker 5: a car, if you walking on a bike, you have 551 00:27:24,240 --> 00:27:26,960 Speaker 5: your radio station. And that station not only telling you 552 00:27:27,000 --> 00:27:30,320 Speaker 5: the traffic, has also given you like a better route. 553 00:27:31,400 --> 00:27:33,159 Speaker 5: Also like you know, I want to purchase this, and 554 00:27:33,200 --> 00:27:34,800 Speaker 5: when you get to the place, you just pick it up, 555 00:27:35,800 --> 00:27:38,160 Speaker 5: if you, if you, if you, if you can't pick 556 00:27:38,200 --> 00:27:43,119 Speaker 5: it up. It could also connect to like a you know, 557 00:27:43,720 --> 00:27:46,080 Speaker 5: some other type of agent or a person to go 558 00:27:46,119 --> 00:27:48,399 Speaker 5: out and pick it up for you, Like I want to. 559 00:27:49,000 --> 00:27:51,120 Speaker 5: I want to take radio and do what radio would 560 00:27:51,200 --> 00:27:55,400 Speaker 5: never been able to do. That is for transactions, real 561 00:27:55,440 --> 00:27:59,040 Speaker 5: time information assistance and guidance. But more importantly, take a 562 00:27:59,119 --> 00:28:05,280 Speaker 5: DJ or host and super supercide supercharge them. 563 00:28:03,800 --> 00:28:05,320 Speaker 2: Every time you come here. Man, I feel like I'm 564 00:28:05,359 --> 00:28:06,360 Speaker 2: not using my brain enough. 565 00:28:08,840 --> 00:28:11,159 Speaker 5: How do we get so f y I go to 566 00:28:11,280 --> 00:28:14,679 Speaker 5: f y I dot A I Radio is out. 567 00:28:16,080 --> 00:28:17,160 Speaker 1: Our personas are there. 568 00:28:17,240 --> 00:28:20,600 Speaker 5: We're gonna build We built a uh by By investmentst 569 00:28:20,640 --> 00:28:23,560 Speaker 5: We built a persona for for the Earn your Leisure 570 00:28:24,080 --> 00:28:27,440 Speaker 5: team so they'll have their They're one of the first 571 00:28:27,440 --> 00:28:30,320 Speaker 5: folks to get their own voice for their station. 572 00:28:31,280 --> 00:28:31,760 Speaker 1: We want to we. 573 00:28:31,760 --> 00:28:35,159 Speaker 5: Would love to do like a breakfast club station. Love 574 00:28:35,240 --> 00:28:38,720 Speaker 5: to I have a we have a meeting with time now, 575 00:28:38,840 --> 00:28:40,880 Speaker 5: like hopefully this meeting goes well. 576 00:28:40,920 --> 00:28:44,000 Speaker 1: Just putting it out there in the universe. That's so dope. 577 00:28:44,640 --> 00:28:46,840 Speaker 3: Just think about if you a DJ and you're listening 578 00:28:46,920 --> 00:28:48,600 Speaker 3: and you're going to a market that you're not familiar with, 579 00:28:48,640 --> 00:28:50,960 Speaker 3: you could ask AI what's the hottest songs in that market, 580 00:28:51,320 --> 00:28:52,840 Speaker 3: and it'll give you a list of the hottest songs 581 00:28:52,840 --> 00:28:53,200 Speaker 3: in the market. 582 00:28:53,280 --> 00:28:55,600 Speaker 6: Doesn't know like your personal opinions and stuff like so 583 00:28:55,680 --> 00:28:58,360 Speaker 6: like in like a Drake Kendrick, like can you make 584 00:28:58,400 --> 00:29:00,840 Speaker 6: it say things and do to that. The host doesn't 585 00:29:00,840 --> 00:29:03,000 Speaker 6: have to be the person that like, oh this opinion 586 00:29:03,040 --> 00:29:04,480 Speaker 6: is coming from this person. It's like, no, it was 587 00:29:04,480 --> 00:29:07,280 Speaker 6: my AI co host? Like is that a thing too? 588 00:29:08,080 --> 00:29:12,200 Speaker 1: If you if we build a persona Forlorn, you could 589 00:29:12,200 --> 00:29:13,720 Speaker 1: make it. You can make your. 590 00:29:13,640 --> 00:29:19,520 Speaker 5: Persona persona however creative you can have to have a stance. 591 00:29:19,920 --> 00:29:23,120 Speaker 5: We just don't support like I don't want to make 592 00:29:23,240 --> 00:29:26,719 Speaker 5: like hateful agents. I don't want to like distorted like 593 00:29:26,920 --> 00:29:28,080 Speaker 5: who wanted to beef. 594 00:29:27,840 --> 00:29:28,320 Speaker 1: This one one? 595 00:29:28,360 --> 00:29:30,120 Speaker 6: I want to cause you know, the host got to 596 00:29:30,160 --> 00:29:32,200 Speaker 6: get into stuff sometimes and sometimes people don't want to. 597 00:29:32,280 --> 00:29:33,960 Speaker 6: So I'm thinking, like people will lean on a box 598 00:29:34,040 --> 00:29:35,160 Speaker 6: so that you don't have to be the person that 599 00:29:35,600 --> 00:29:36,760 Speaker 6: is the face of what was said. 600 00:29:37,240 --> 00:29:38,040 Speaker 7: You wouldn't do that. 601 00:29:40,040 --> 00:29:42,800 Speaker 1: There's a there's a thin line that I don't want 602 00:29:42,800 --> 00:29:45,000 Speaker 1: to cross, Like yes, you can do that. 603 00:29:46,360 --> 00:29:48,160 Speaker 5: We're at a place you could do you can have it, 604 00:29:48,200 --> 00:29:49,600 Speaker 5: do whatever you wanted to do. 605 00:29:50,320 --> 00:29:52,800 Speaker 1: But we don't want to go we want to cross. 606 00:29:53,120 --> 00:29:54,080 Speaker 2: Ai shot Jacks. 607 00:29:54,680 --> 00:29:56,560 Speaker 7: You know, you know how people are gonna get with 608 00:29:56,600 --> 00:30:01,520 Speaker 7: stuff that's yes, it's just so interesting say yes, who 609 00:30:01,600 --> 00:30:01,880 Speaker 7: I am. 610 00:30:02,040 --> 00:30:03,960 Speaker 2: I appreciate you for you will not be a billionaire 611 00:30:03,960 --> 00:30:04,360 Speaker 2: without us. 612 00:30:05,760 --> 00:30:08,400 Speaker 5: If there's a way, If there's a way, like seriously, 613 00:30:08,440 --> 00:30:10,560 Speaker 5: like there's a way to like rock with you Charlemagne 614 00:30:10,640 --> 00:30:12,440 Speaker 5: and get your insights? 615 00:30:13,160 --> 00:30:15,200 Speaker 1: Uh have you been a you know. 616 00:30:16,800 --> 00:30:18,880 Speaker 5: Rock with us? Have steak on what we're doing. I'd 617 00:30:18,880 --> 00:30:20,640 Speaker 5: love to pay then, Upside will be honored. 618 00:30:20,880 --> 00:30:22,800 Speaker 2: Talk about that on the radio. I'd love to I'm 619 00:30:22,840 --> 00:30:25,880 Speaker 2: gonna talk to you about that. Off there I am. 620 00:30:26,120 --> 00:30:28,640 Speaker 1: It's the Breakfast Club. Good morning, Wake that ass up 621 00:30:29,200 --> 00:30:29,760 Speaker 1: in the morning. 622 00:30:29,880 --> 00:30:30,920 Speaker 2: The Breakfast Club