1 00:00:00,280 --> 00:00:04,120 Speaker 1: I, for one, am not scared of AI. 2 00:00:07,560 --> 00:00:09,760 Speaker 2: That AI huh yep. Nice. 3 00:00:10,400 --> 00:00:13,600 Speaker 3: And if my mother shows me one more thing on 4 00:00:13,680 --> 00:00:18,120 Speaker 3: Instagram and says Kadeen, is this real or is this AI, 5 00:00:18,920 --> 00:00:20,480 Speaker 3: I'm gonna lose it. 6 00:00:20,880 --> 00:00:21,440 Speaker 1: Dead Ass. 7 00:00:23,440 --> 00:00:26,560 Speaker 4: It all started with real talk, unfiltered, honest, and straight 8 00:00:26,600 --> 00:00:28,600 Speaker 4: from the heart. Since then, we've gone on to become 9 00:00:28,640 --> 00:00:32,080 Speaker 4: Webby award winning podcasters in New York Times bestselling authors. 10 00:00:32,120 --> 00:00:34,639 Speaker 3: Dead Ass was more than a podcast for us. It 11 00:00:34,720 --> 00:00:38,040 Speaker 3: was about our growth, a place where we could be vulnerable. 12 00:00:37,720 --> 00:00:40,960 Speaker 1: Be raw, or but most apportly be us. 13 00:00:41,000 --> 00:00:43,640 Speaker 3: But as we know, life keeps evolving and so do 14 00:00:43,760 --> 00:00:47,000 Speaker 3: we and through it all, one thing has never changed. 15 00:00:47,440 --> 00:00:48,080 Speaker 5: This is. 16 00:00:50,200 --> 00:00:52,040 Speaker 2: Because we got a lot to talk about. 17 00:00:52,200 --> 00:00:55,600 Speaker 4: So story time, I'm gonna keep this very very short 18 00:00:55,760 --> 00:00:58,880 Speaker 4: because it happened recently. I was talking to a bunch 19 00:00:58,920 --> 00:01:02,000 Speaker 4: of other dads at a basketball game, typically when we 20 00:01:02,040 --> 00:01:04,600 Speaker 4: start talking, and one of the dads was like, hey, man, 21 00:01:04,640 --> 00:01:07,080 Speaker 4: do y'all hear about what's going on out there in 22 00:01:07,080 --> 00:01:11,240 Speaker 4: the world, And I'm like, no, what happened? One of 23 00:01:11,280 --> 00:01:18,600 Speaker 4: their friends recently got divorced, met a young lady online, 24 00:01:19,640 --> 00:01:25,199 Speaker 4: starts talking to the lady long distance, relationship, sharing photos, 25 00:01:25,319 --> 00:01:30,000 Speaker 4: Sharing pictures and video leads to sharing cash app. Long 26 00:01:30,040 --> 00:01:32,760 Speaker 4: story short, shorty was AI. 27 00:01:36,360 --> 00:01:37,680 Speaker 2: It wasn't like a dating app or anything. 28 00:01:37,800 --> 00:01:38,800 Speaker 1: It wasn't a dating app. 29 00:01:38,880 --> 00:01:39,840 Speaker 2: Where does one. 30 00:01:39,720 --> 00:01:42,800 Speaker 3: Find an aid scammer? 31 00:01:43,240 --> 00:01:47,840 Speaker 1: Well, scammers are now using AI too. 32 00:01:48,400 --> 00:01:50,120 Speaker 4: I mean it's no different than the dudes they used 33 00:01:50,120 --> 00:01:51,960 Speaker 4: to call in the phone sex hotline, and they call 34 00:01:52,040 --> 00:01:53,600 Speaker 4: it because they just want some companionship. 35 00:01:53,880 --> 00:01:54,720 Speaker 1: It's the same thing. 36 00:01:54,760 --> 00:01:59,360 Speaker 4: It's like, Hey, the conversations where Hey, I'm getting picked 37 00:01:59,400 --> 00:02:00,000 Speaker 4: out of my apartment. 38 00:02:00,160 --> 00:02:00,920 Speaker 1: Monkey was AI. 39 00:02:01,360 --> 00:02:03,200 Speaker 4: I'm getting kicked out of my apartment. Do you have 40 00:02:03,200 --> 00:02:04,760 Speaker 4: fifteen hundred dollars that can help me? 41 00:02:04,800 --> 00:02:05,320 Speaker 1: It would help me? 42 00:02:05,400 --> 00:02:05,880 Speaker 6: Da da da. 43 00:02:05,920 --> 00:02:10,040 Speaker 4: I'm an influencer going like just giving the other person 44 00:02:10,400 --> 00:02:12,200 Speaker 4: all of these reasons why they would need to send 45 00:02:12,240 --> 00:02:14,680 Speaker 4: them money, and him thinking that he's helping out a 46 00:02:14,720 --> 00:02:16,919 Speaker 4: young lady is just sending money to the cash app, 47 00:02:17,520 --> 00:02:19,640 Speaker 4: and then it turns out that the whole thing was 48 00:02:19,760 --> 00:02:23,880 Speaker 4: just AI. This is happening to people, guys. 49 00:02:24,080 --> 00:02:26,480 Speaker 3: This is not always like I always wonder how that works, 50 00:02:26,520 --> 00:02:29,200 Speaker 3: Like you don't want to actually physically see this person 51 00:02:29,240 --> 00:02:31,800 Speaker 3: before you decide to send money, Like how does. 52 00:02:31,639 --> 00:02:34,720 Speaker 4: That work to me honest, anybody that gets scammed sometimes 53 00:02:34,760 --> 00:02:36,680 Speaker 4: I'm asking myself, like, how did that happen to you? 54 00:02:36,840 --> 00:02:37,280 Speaker 3: Yeah? 55 00:02:37,360 --> 00:02:39,519 Speaker 1: So, but I could imagine if you're an older person. 56 00:02:39,600 --> 00:02:42,000 Speaker 4: You you know, this person is in their fifties, you know, 57 00:02:42,040 --> 00:02:43,400 Speaker 4: in their fifties, doesn't. 58 00:02:43,160 --> 00:02:46,680 Speaker 1: Know much about computer, just got divorced. This is how the. 59 00:02:46,680 --> 00:02:49,200 Speaker 4: Young kids do it nowadays, middle tension. You know they're 60 00:02:49,200 --> 00:02:52,480 Speaker 4: out there in the dms. This person thought that they 61 00:02:52,480 --> 00:02:53,359 Speaker 4: were doing their thing. 62 00:02:53,400 --> 00:02:54,680 Speaker 1: You know what I'm saying. I don't got no white 63 00:02:54,680 --> 00:02:56,720 Speaker 1: no more. I'm on here in these streets. I'm about 64 00:02:56,720 --> 00:02:57,680 Speaker 1: to sugar daddy it up. 65 00:02:57,720 --> 00:03:00,000 Speaker 2: He got a digital girl, You got a digital girl? 66 00:03:01,360 --> 00:03:04,359 Speaker 1: Why are you paying people that we haven't seen yet? 67 00:03:04,639 --> 00:03:07,600 Speaker 2: That's my thing. But I mean, I guess loneliness can 68 00:03:07,639 --> 00:03:08,800 Speaker 2: make you do things right. 69 00:03:09,440 --> 00:03:11,360 Speaker 1: I mean yeah, if they play on somebody's emotions. Think 70 00:03:11,400 --> 00:03:13,240 Speaker 1: about it. All the people who get scammed, the typically 71 00:03:13,240 --> 00:03:14,960 Speaker 1: elderly people who they play on your emotions. 72 00:03:14,960 --> 00:03:17,400 Speaker 4: They tell you somebody in your family got something and 73 00:03:17,440 --> 00:03:18,400 Speaker 4: they just need to send. 74 00:03:18,240 --> 00:03:18,960 Speaker 1: This money quick. 75 00:03:19,000 --> 00:03:21,079 Speaker 4: And it's never it's never like a random like send 76 00:03:21,120 --> 00:03:23,280 Speaker 4: me ten thousand dollars. It's like, go, I need seven 77 00:03:23,320 --> 00:03:26,000 Speaker 4: hundred and thirty six dollars. It sounds real, and it's 78 00:03:26,000 --> 00:03:27,760 Speaker 4: like to some people, it's like, oh, seven hundred dollars 79 00:03:27,880 --> 00:03:28,639 Speaker 4: is not that bad to. 80 00:03:28,639 --> 00:03:31,200 Speaker 1: Some people, you know, So you sending seven hundred every 81 00:03:31,200 --> 00:03:32,160 Speaker 1: couple of months. 82 00:03:32,000 --> 00:03:34,480 Speaker 4: And then it grows to the point where it's like, Yo, 83 00:03:34,520 --> 00:03:36,880 Speaker 4: you were scammed over tens of thousands of dollars. And 84 00:03:36,920 --> 00:03:38,920 Speaker 4: it wasn't till your friends had to point out that 85 00:03:39,560 --> 00:03:41,400 Speaker 4: all the pictures of video you sending me is the 86 00:03:41,440 --> 00:03:43,760 Speaker 4: same girl with different outfits, like, this is not real 87 00:03:44,200 --> 00:03:46,480 Speaker 4: and that's what happened to this person, that it wasn't real. 88 00:03:46,560 --> 00:03:48,360 Speaker 3: And if you got ten people that you can scam 89 00:03:48,360 --> 00:03:50,920 Speaker 3: out of seven hundred and thirty six dollars, baby, that's 90 00:03:50,920 --> 00:03:52,559 Speaker 3: a quick little seven grand. 91 00:03:52,360 --> 00:03:53,120 Speaker 5: Making some money. 92 00:03:54,040 --> 00:03:56,040 Speaker 2: Yeah, I mean, I guess there's a market for it. 93 00:03:56,120 --> 00:03:56,440 Speaker 3: Huh. 94 00:03:56,720 --> 00:04:00,800 Speaker 4: Speaking of markets, because you brought up some thing about 95 00:04:01,400 --> 00:04:05,840 Speaker 4: digital girls, I want to read something for you guys 96 00:04:06,720 --> 00:04:14,640 Speaker 4: before we go into I'm with. This part goes like this, 97 00:04:17,680 --> 00:04:20,760 Speaker 4: my homies never seen you, but I always got you 98 00:04:20,880 --> 00:04:28,000 Speaker 4: right here for me. Yeah, talk to my Louis computer bag. 99 00:04:29,839 --> 00:04:34,359 Speaker 4: I'll type you a message full of you, shoot me 100 00:04:34,400 --> 00:04:39,680 Speaker 4: a video, and then upload. Even though I hate this distance. 101 00:04:40,760 --> 00:04:45,360 Speaker 4: It keeps me persistent. One day I'll have your ass 102 00:04:45,720 --> 00:04:46,800 Speaker 4: in this kitchen. 103 00:04:47,160 --> 00:04:53,880 Speaker 7: My digital girl, girl Girl girl girl girl. 104 00:04:54,120 --> 00:05:00,520 Speaker 2: That dil. 105 00:05:00,240 --> 00:05:03,960 Speaker 1: Good good, she's a scambal. 106 00:05:06,800 --> 00:05:10,560 Speaker 3: H. She is a big heart back man on the 107 00:05:10,600 --> 00:05:11,520 Speaker 3: computer screen. 108 00:05:12,360 --> 00:05:19,800 Speaker 2: Okay, a big hardback man, dry top mon. 109 00:05:20,400 --> 00:05:24,039 Speaker 4: I won't show y'all my foot bottom, but it's dry trusting. 110 00:05:24,720 --> 00:05:25,640 Speaker 2: Shout out to Jabi Fox. 111 00:05:25,760 --> 00:05:26,200 Speaker 5: Y'all know how I. 112 00:05:26,200 --> 00:05:28,080 Speaker 2: Feel about that man. I love him down. 113 00:05:28,560 --> 00:05:31,480 Speaker 3: That was an awesome album, too awesome, awesome. All right, y'all, 114 00:05:31,520 --> 00:05:33,760 Speaker 3: let's take a break. We go pay some bills. Uh, 115 00:05:34,000 --> 00:05:36,240 Speaker 3: hopefully don't get scanned in the process, and we'll be 116 00:05:36,320 --> 00:05:37,839 Speaker 3: back with op or no ods. 117 00:05:37,839 --> 00:05:45,279 Speaker 2: So stick around, y'all. All right, trips, take it away. 118 00:05:44,760 --> 00:05:47,320 Speaker 5: All right? So AI Bruce Willis. 119 00:05:47,360 --> 00:05:51,400 Speaker 7: So, something I heard recently was actors are now selling 120 00:05:51,400 --> 00:05:56,200 Speaker 7: their likeness to be used with AI so that they 121 00:05:56,200 --> 00:06:00,599 Speaker 7: can be inserted into commercials and potentially film in the future. 122 00:06:01,160 --> 00:06:03,040 Speaker 7: And one of the actors to do that is Bruce Willis. 123 00:06:03,080 --> 00:06:06,240 Speaker 7: If you know, Bruce Willis has dementia. He has a phasia, 124 00:06:06,480 --> 00:06:09,080 Speaker 7: which makes it hard for him to communicate, and so 125 00:06:09,160 --> 00:06:12,000 Speaker 7: they've sold his likeness and he appeared in a Russian 126 00:06:12,320 --> 00:06:14,800 Speaker 7: commercial recently his family. 127 00:06:16,080 --> 00:06:18,479 Speaker 2: Ye who sold it and how much he got paid. 128 00:06:19,760 --> 00:06:21,119 Speaker 5: I don't know how much he got paid. 129 00:06:21,839 --> 00:06:24,200 Speaker 4: His estate sold his likeness because he if he got 130 00:06:24,200 --> 00:06:25,480 Speaker 4: demension and he he can. 131 00:06:25,720 --> 00:06:28,880 Speaker 7: He sold his image rights in twenty twenty two. That 132 00:06:29,000 --> 00:06:31,200 Speaker 7: was before the probably before it got bad. 133 00:06:31,279 --> 00:06:33,559 Speaker 4: He must have known it was going to get bad. Yeah, 134 00:06:33,600 --> 00:06:34,920 Speaker 4: so he sold it, so that I. 135 00:06:34,839 --> 00:06:36,720 Speaker 1: Mean, decision. 136 00:06:38,200 --> 00:06:41,840 Speaker 5: But what do you think about actors doing it in general? 137 00:06:42,200 --> 00:06:44,159 Speaker 3: If y'all going AI, me, at least it looked like me, 138 00:06:44,839 --> 00:06:45,760 Speaker 3: because obviously. 139 00:06:45,520 --> 00:06:48,839 Speaker 2: It's a AI. Look, I mean, it has the essence 140 00:06:48,880 --> 00:06:51,160 Speaker 2: of the person, don't. 141 00:06:51,160 --> 00:06:53,760 Speaker 3: It's one floating around right now? Devour Crystal and a 142 00:06:53,839 --> 00:06:58,120 Speaker 3: baby girl that right, there's a there's a there's an 143 00:06:58,240 --> 00:07:00,560 Speaker 3: image floating around with you, guys. I guess they're trying 144 00:07:00,600 --> 00:07:03,599 Speaker 3: to forwardthink what will happen when Fatima has the baby 145 00:07:03,640 --> 00:07:05,640 Speaker 3: on the show and everyone's saying it's gonna be a 146 00:07:05,640 --> 00:07:09,159 Speaker 3: girl and they've named her Zaria and the AI is 147 00:07:09,240 --> 00:07:10,240 Speaker 3: actually really really good. 148 00:07:10,280 --> 00:07:13,200 Speaker 2: It still looks amazing. The baby is adorable. 149 00:07:13,280 --> 00:07:15,440 Speaker 3: But baby, I don't know who that man is saying 150 00:07:15,920 --> 00:07:21,119 Speaker 3: it ain't Zach looks more like that Zach. 151 00:07:21,560 --> 00:07:22,240 Speaker 1: It's not Zach. 152 00:07:22,760 --> 00:07:25,160 Speaker 3: It gives like your head shape, but the features are 153 00:07:25,160 --> 00:07:27,440 Speaker 3: a little off. So if you're going AI, me let 154 00:07:27,480 --> 00:07:29,480 Speaker 3: it look like me. Please and make sure the check 155 00:07:29,600 --> 00:07:31,920 Speaker 3: is checking. But that's why the strike happened because a 156 00:07:31,960 --> 00:07:34,720 Speaker 3: lot of the AI things were negotiations. 157 00:07:35,120 --> 00:07:38,400 Speaker 2: What was that last year, Yeah, with sag and all that. 158 00:07:38,520 --> 00:07:42,760 Speaker 4: So it's interesting because remember when theater was just the thing, 159 00:07:42,760 --> 00:07:44,120 Speaker 4: and then they started with penny movies. 160 00:07:44,960 --> 00:07:47,400 Speaker 1: A lot of actors at that time were concerned. 161 00:07:47,000 --> 00:07:48,720 Speaker 4: If you have penny movies and people can just pay 162 00:07:48,720 --> 00:07:50,680 Speaker 4: a penny to go watch a performance that already happened, 163 00:07:50,720 --> 00:07:53,320 Speaker 4: if it would kill the theater. It proved that it 164 00:07:53,320 --> 00:07:56,080 Speaker 4: didn't kill the theater. The theater is still thriving as 165 00:07:56,120 --> 00:07:58,920 Speaker 4: it is today. But I think there are some concerns 166 00:07:58,960 --> 00:08:00,800 Speaker 4: with what people can do, like deep fakes. 167 00:08:00,840 --> 00:08:01,440 Speaker 1: If you could just. 168 00:08:01,360 --> 00:08:04,320 Speaker 4: Take someone's face and put anything on their pause, in 169 00:08:04,360 --> 00:08:06,560 Speaker 4: their mouth, or make them say or do anything. There 170 00:08:06,560 --> 00:08:09,200 Speaker 4: are concerns, but I think we also have to be 171 00:08:09,280 --> 00:08:11,680 Speaker 4: aware of the fact that the world is constantly changing 172 00:08:11,760 --> 00:08:14,760 Speaker 4: and evolution is a real thing. Technology is a real thing. 173 00:08:15,440 --> 00:08:17,520 Speaker 4: We have to find a way to monitor it. But 174 00:08:17,680 --> 00:08:20,720 Speaker 4: I can't see myself selling my likeness because I don't 175 00:08:20,720 --> 00:08:22,400 Speaker 4: want my likeness to be used for anything that I 176 00:08:22,440 --> 00:08:24,440 Speaker 4: can't consent for, like that you can't control. 177 00:08:24,560 --> 00:08:28,400 Speaker 3: Yeah, that's my biggest thing I'm wondering. Do y'all feel 178 00:08:28,400 --> 00:08:31,680 Speaker 3: like people are starting to kind of get exhausted from 179 00:08:31,760 --> 00:08:34,960 Speaker 3: technology and all the changes the social media. 180 00:08:34,840 --> 00:08:37,640 Speaker 2: The facades, the AI. 181 00:08:38,000 --> 00:08:39,920 Speaker 3: I feel like I'm starting to see a bit of 182 00:08:39,920 --> 00:08:41,800 Speaker 3: a shift, and it could also be a generational thing 183 00:08:41,840 --> 00:08:44,960 Speaker 3: where people my age are just kind of like, I 184 00:08:45,120 --> 00:08:47,920 Speaker 3: like being in real time, I like being in the person, 185 00:08:47,960 --> 00:08:49,560 Speaker 3: I like being with people again. 186 00:08:49,960 --> 00:08:51,600 Speaker 2: You know, there was like this moment. 187 00:08:51,320 --> 00:08:54,480 Speaker 3: Where we were all about social media, but now I. 188 00:08:54,480 --> 00:08:55,280 Speaker 2: Do kind of like. 189 00:08:56,840 --> 00:08:59,760 Speaker 5: Think it's a generational thing, Like, yeah, I. 190 00:08:59,760 --> 00:09:01,079 Speaker 3: Just cat lose sight of that because when you have 191 00:09:01,160 --> 00:09:03,439 Speaker 3: children who are also growing up with this being what 192 00:09:04,080 --> 00:09:08,240 Speaker 3: they are. I actually went to a meeting at Jackson School. 193 00:09:09,080 --> 00:09:10,600 Speaker 3: You know, he's in eighth grade, he'll be going into 194 00:09:10,679 --> 00:09:12,120 Speaker 3: high school, so this is kind of like a bridge 195 00:09:12,160 --> 00:09:14,160 Speaker 3: meeting to show how we're going to transition kids from 196 00:09:14,200 --> 00:09:17,520 Speaker 3: eighth grade to ninth grade. And the principal was speaking, 197 00:09:17,600 --> 00:09:20,960 Speaker 3: and she has two children who are currently in college. 198 00:09:21,000 --> 00:09:23,280 Speaker 3: When I believe graduating this year, and then one who's 199 00:09:23,280 --> 00:09:27,560 Speaker 3: like a sophomore freshman, and her son who's graduating this year, 200 00:09:28,440 --> 00:09:31,640 Speaker 3: has a bunch of friends who are in various majors 201 00:09:31,679 --> 00:09:35,080 Speaker 3: that are now concerned that when they graduate they're not 202 00:09:35,160 --> 00:09:38,720 Speaker 3: going to have a job because within those four years 203 00:09:38,800 --> 00:09:41,360 Speaker 3: those positions have now been taken over by AI. 204 00:09:42,040 --> 00:09:43,360 Speaker 2: So it's going to be interesting to. 205 00:09:43,320 --> 00:09:46,360 Speaker 3: See how the future for our children and what the 206 00:09:46,960 --> 00:09:49,360 Speaker 3: job force is going to look like across various fields 207 00:09:49,360 --> 00:09:52,600 Speaker 3: if now they're going to be AI taking over these, 208 00:09:53,040 --> 00:09:56,720 Speaker 3: you know, in person, real human jobs and experiences. 209 00:09:57,160 --> 00:09:59,240 Speaker 4: I think we just have to train our kids to 210 00:09:59,320 --> 00:10:03,040 Speaker 4: understand thechnology. For example, when my father was growing up, 211 00:10:03,040 --> 00:10:05,559 Speaker 4: it was C plus plus and mainframing, and then when 212 00:10:05,600 --> 00:10:07,760 Speaker 4: I got into high school, there was no more C 213 00:10:07,840 --> 00:10:11,319 Speaker 4: plus plus, there was no more mainframing. It's like technology 214 00:10:11,360 --> 00:10:13,280 Speaker 4: is always changing. So now they're teaching the kids how 215 00:10:13,320 --> 00:10:15,960 Speaker 4: to cold. They don't teach mainframing no more. We have 216 00:10:16,040 --> 00:10:18,120 Speaker 4: to teach our kids how to cold and understand this 217 00:10:18,400 --> 00:10:20,960 Speaker 4: AI stuff. Josh were sitting over here one day a 218 00:10:20,960 --> 00:10:24,240 Speaker 4: couple months ago, and he was showing me how he 219 00:10:24,320 --> 00:10:26,960 Speaker 4: was trying to create an app to take the footage 220 00:10:27,400 --> 00:10:30,480 Speaker 4: and put it in separate files. And I'm like, rather 221 00:10:30,520 --> 00:10:34,320 Speaker 4: than teaching my son how to just use a what 222 00:10:34,440 --> 00:10:36,400 Speaker 4: is it called a calculator, you know how we just 223 00:10:36,400 --> 00:10:39,200 Speaker 4: say to our kids, grab a calculator with you everywhere, 224 00:10:39,679 --> 00:10:41,840 Speaker 4: now you will. So rather than teaching your son how 225 00:10:41,880 --> 00:10:43,800 Speaker 4: to do things off the top of their head, teach 226 00:10:43,840 --> 00:10:45,280 Speaker 4: them the technology that we're using. 227 00:10:45,679 --> 00:10:46,800 Speaker 1: You know, I'd rather Josh. 228 00:10:46,640 --> 00:10:48,280 Speaker 4: Sit down with the kids and be like, Yo, this 229 00:10:48,400 --> 00:10:50,560 Speaker 4: how you create an app. So I think, you know, 230 00:10:50,600 --> 00:10:52,880 Speaker 4: we can't be afraid of technology because it's not going anywhere. 231 00:10:52,880 --> 00:10:54,600 Speaker 1: We just have to learn how to adapt and move 232 00:10:54,640 --> 00:10:54,839 Speaker 1: with it. 233 00:10:55,280 --> 00:10:57,480 Speaker 5: Yah. Yeah. 234 00:10:57,520 --> 00:11:00,800 Speaker 7: Even I heard right now is doing asking hosts to 235 00:11:01,040 --> 00:11:03,160 Speaker 7: add a tag at the top of their episodes it 236 00:11:03,240 --> 00:11:08,840 Speaker 7: says like guaranteed Human because yeah, because there are some 237 00:11:09,200 --> 00:11:13,040 Speaker 7: a lot apparently of AI generated podcasts out there where 238 00:11:13,080 --> 00:11:15,439 Speaker 7: it's easy for somebody to just use AI to create 239 00:11:15,480 --> 00:11:19,079 Speaker 7: a podcast, you know, using a generic soils. Yeah, and 240 00:11:19,120 --> 00:11:21,760 Speaker 7: you can make a bunch of content really quickly and 241 00:11:21,960 --> 00:11:22,679 Speaker 7: monetize it. 242 00:11:23,280 --> 00:11:25,719 Speaker 5: So and some people just don't want to consume that. 243 00:11:25,800 --> 00:11:29,920 Speaker 7: So, especially on shows that are about like you know, 244 00:11:30,280 --> 00:11:34,160 Speaker 7: stories or like you know, research, people want to know 245 00:11:34,200 --> 00:11:36,440 Speaker 7: that they're hearing this information from a real human and 246 00:11:36,480 --> 00:11:40,120 Speaker 7: it's not AI generated information, which is oftentimes not even 247 00:11:40,120 --> 00:11:44,720 Speaker 7: correct because the information that AI will generate when you 248 00:11:44,840 --> 00:11:48,480 Speaker 7: like search, it'll just amalgamate everything that's on the Internet 249 00:11:48,520 --> 00:11:50,040 Speaker 7: and give you kind of a summary of all these 250 00:11:50,080 --> 00:11:53,120 Speaker 7: things put together. So I've heard, like in colleges a 251 00:11:53,160 --> 00:11:56,640 Speaker 7: lot of undergrad professors are having real issues with AI. 252 00:11:57,559 --> 00:12:03,520 Speaker 7: And there was one instance where a student wrote a paper. 253 00:12:03,800 --> 00:12:05,720 Speaker 7: They use AI to write a paper, and AI came 254 00:12:05,800 --> 00:12:08,800 Speaker 7: up with the resources, I mean, the yeah, the sources, 255 00:12:08,880 --> 00:12:13,440 Speaker 7: and the source was it was like real, but it 256 00:12:13,559 --> 00:12:18,520 Speaker 7: wasn't accurate. It was like a real author, a real publication, 257 00:12:19,160 --> 00:12:21,000 Speaker 7: but they did not that. 258 00:12:20,920 --> 00:12:23,120 Speaker 5: Author did not write that specific publication. 259 00:12:23,200 --> 00:12:26,599 Speaker 7: But because the AI tool just amalgamated everything, they just 260 00:12:26,640 --> 00:12:29,000 Speaker 7: put it together and didn't you know, and the person 261 00:12:29,040 --> 00:12:29,520 Speaker 7: didn't check. 262 00:12:29,559 --> 00:12:31,640 Speaker 4: So that's a perfect example as to why we can't 263 00:12:31,720 --> 00:12:34,120 Speaker 4: just rely on AI. That's why humans are still going 264 00:12:34,160 --> 00:12:35,800 Speaker 4: to be needed. So we don't have to be afraid 265 00:12:35,880 --> 00:12:38,720 Speaker 4: of it, because the AI still has to be programmed 266 00:12:38,760 --> 00:12:39,720 Speaker 4: by somebody someone. 267 00:12:39,840 --> 00:12:40,959 Speaker 1: That's why I'm I'm not. 268 00:12:40,960 --> 00:12:43,600 Speaker 4: Afraid of it because the people even do you watch 269 00:12:43,640 --> 00:12:45,280 Speaker 4: these deep fakes, you can look at it and tell like, 270 00:12:45,320 --> 00:12:46,200 Speaker 4: that's not a real good. 271 00:12:46,120 --> 00:12:47,600 Speaker 2: Yeah, you can tell a lot of times. 272 00:12:47,600 --> 00:12:49,600 Speaker 3: I mean, unless they're still working on like fine tune 273 00:12:49,640 --> 00:12:51,959 Speaker 3: details to make it that much more realistic. I think 274 00:12:51,960 --> 00:12:54,120 Speaker 3: the only circumstance I would I would be okay with 275 00:12:54,200 --> 00:12:57,400 Speaker 3: AI using like, for example, my voice Peu. People said 276 00:12:57,400 --> 00:12:59,160 Speaker 3: I have a pretty distinct voice. It's like if I'm 277 00:12:59,160 --> 00:13:01,760 Speaker 3: doing a voiceover acting and it's just like, hey, you 278 00:13:01,760 --> 00:13:03,440 Speaker 3: can just take my voice. If there's a script and 279 00:13:03,440 --> 00:13:06,040 Speaker 3: it's a legitimate you know, like company or brand that 280 00:13:06,120 --> 00:13:08,800 Speaker 3: wants to use my voice, It's like cool, you get 281 00:13:08,880 --> 00:13:10,679 Speaker 3: the essence of my voice. We can do that as 282 00:13:10,679 --> 00:13:13,400 Speaker 3: long as I approve it. You know, I think that 283 00:13:13,440 --> 00:13:15,360 Speaker 3: could potentially work. But I get what you mean in 284 00:13:15,440 --> 00:13:18,240 Speaker 3: terms of just your face being out there and then 285 00:13:18,280 --> 00:13:20,520 Speaker 3: it being computerized. 286 00:13:19,760 --> 00:13:23,199 Speaker 2: And it's just saying whatever to promote whatever agenda. That's crazy. 287 00:13:23,280 --> 00:13:26,120 Speaker 3: Speaking of colleges and stuff, It's funny because I saw 288 00:13:27,000 --> 00:13:29,240 Speaker 3: a young lady I'm probably on one of these social 289 00:13:29,240 --> 00:13:32,200 Speaker 3: media platforms, but she was crashing out because she spent 290 00:13:32,360 --> 00:13:34,840 Speaker 3: so much time to write her paper. Now she has 291 00:13:34,880 --> 00:13:38,280 Speaker 3: a meeting with the dean because they pretty much said 292 00:13:38,280 --> 00:13:41,160 Speaker 3: that her paper was like eighty percent AI, and she 293 00:13:41,360 --> 00:13:42,360 Speaker 3: was just like, this is insane. 294 00:13:42,400 --> 00:13:43,559 Speaker 2: She went to somewhere like it was like. 295 00:13:43,480 --> 00:13:45,360 Speaker 3: A Harvard or Yale, like it was like a really 296 00:13:45,400 --> 00:13:48,600 Speaker 3: like big IVY League, and she's like, how can I 297 00:13:48,679 --> 00:13:51,600 Speaker 3: compete now with this world of AI when I literally 298 00:13:51,640 --> 00:13:54,000 Speaker 3: like blood, sweat and tears way into this paper and 299 00:13:54,040 --> 00:13:56,240 Speaker 3: they're telling me that it's AI and it's not. And 300 00:13:56,280 --> 00:13:58,720 Speaker 3: then how do you also now, as if you're doing research, 301 00:13:59,040 --> 00:14:01,320 Speaker 3: like how do you decide for or how a you're 302 00:14:01,360 --> 00:14:04,280 Speaker 3: able to put these things into your own words? You know, 303 00:14:04,400 --> 00:14:07,280 Speaker 3: do you have to properly like source and quote things? 304 00:14:07,360 --> 00:14:07,440 Speaker 7: Like? 305 00:14:07,520 --> 00:14:10,000 Speaker 3: I just don't envy those kids. Another young lady had 306 00:14:10,000 --> 00:14:11,160 Speaker 3: said that she cause, you know, you go down a 307 00:14:11,200 --> 00:14:14,520 Speaker 3: rabbit hole. She said that she input an old paper 308 00:14:14,559 --> 00:14:17,720 Speaker 3: from like her college days, which was like ten years prior, 309 00:14:18,280 --> 00:14:20,680 Speaker 3: into an AI check system and it came out like 310 00:14:20,720 --> 00:14:23,600 Speaker 3: seventy five percent AI. And she's like, yeah, this is 311 00:14:23,640 --> 00:14:25,840 Speaker 3: before AI was even the thing, you know, so the 312 00:14:25,880 --> 00:14:28,680 Speaker 3: regulations and I can see how it's posing issues for 313 00:14:29,080 --> 00:14:31,520 Speaker 3: college age kids and then also the professors who are 314 00:14:31,520 --> 00:14:32,680 Speaker 3: having to contend with it. 315 00:14:33,160 --> 00:14:35,360 Speaker 2: Listen, y'all, I don't envy all in that space right now. 316 00:14:35,480 --> 00:14:38,000 Speaker 7: Yeah, it's a lot to consider, you, Like, what is 317 00:14:38,040 --> 00:14:38,760 Speaker 7: the solution for that? 318 00:14:39,080 --> 00:14:41,680 Speaker 5: Right? Because the check system is using AI to check 319 00:14:41,720 --> 00:14:43,160 Speaker 5: if it's AI exactly. 320 00:14:43,440 --> 00:14:46,600 Speaker 7: So yeah, how do you make sure that somebody's really 321 00:14:46,640 --> 00:14:49,360 Speaker 7: writing their paper? Because then if it's not accurate and 322 00:14:49,480 --> 00:14:53,480 Speaker 7: students are having to, you know, fight for their grade, 323 00:14:53,600 --> 00:14:55,640 Speaker 7: then somebody that uses AI could just be like, no, 324 00:14:55,800 --> 00:14:56,680 Speaker 7: it's not AI. Right. 325 00:14:57,160 --> 00:14:59,320 Speaker 4: Yeah, that's why you can't rely on AI. That's why 326 00:14:59,400 --> 00:15:02,160 Speaker 4: humans need to understand that we still the epicenter of everything. 327 00:15:02,280 --> 00:15:03,240 Speaker 3: Yeah, you know. 328 00:15:03,600 --> 00:15:05,120 Speaker 2: Yeah. 329 00:15:05,280 --> 00:15:09,920 Speaker 7: One thing that has been a concern is AI's impact 330 00:15:10,000 --> 00:15:10,760 Speaker 7: on the environment. 331 00:15:11,120 --> 00:15:14,040 Speaker 1: Have you heard of Oh yeah, because I know what's 332 00:15:14,200 --> 00:15:15,560 Speaker 1: what's the what's the guy name? 333 00:15:15,880 --> 00:15:19,560 Speaker 4: He just built that huge factory amongst us somewhere in 334 00:15:19,600 --> 00:15:20,480 Speaker 4: the hood too. 335 00:15:20,680 --> 00:15:23,000 Speaker 5: And Tennessee, Georgia. 336 00:15:23,120 --> 00:15:24,880 Speaker 4: And there's a bunch of radiation and stuff in the 337 00:15:26,200 --> 00:15:29,240 Speaker 4: stuff that's coming from the air, the smoke, like you're 338 00:15:29,240 --> 00:15:30,960 Speaker 4: not supposed to be around it for more than like 339 00:15:31,040 --> 00:15:33,600 Speaker 4: sixty minutes. And they're saying it's just pumping this stuff 340 00:15:33,600 --> 00:15:38,080 Speaker 4: out twenty four to seven Elon Musk. Yeah, it's in Tennessee, Tennessee, in. 341 00:15:38,040 --> 00:15:39,200 Speaker 2: Memphis, Oh, oh that was something. 342 00:15:39,200 --> 00:15:40,480 Speaker 3: I didn't know if that was really fake. But that's 343 00:15:40,520 --> 00:15:43,640 Speaker 3: not meaning the effects of whatever is coming out into 344 00:15:43,680 --> 00:15:44,280 Speaker 3: the atmosphere. 345 00:15:44,360 --> 00:15:46,960 Speaker 7: Yeah, it's like poisoning the neighborhood. And it was built 346 00:15:47,000 --> 00:15:50,720 Speaker 7: like in a predominantly black course. They yeah, of course, 347 00:15:51,000 --> 00:15:54,320 Speaker 7: and there's one in Georgia too, where it's in like 348 00:15:54,400 --> 00:15:55,880 Speaker 7: rural Georgia and. 349 00:15:55,840 --> 00:15:57,160 Speaker 5: They're using a lot of the water. 350 00:15:57,360 --> 00:16:00,560 Speaker 7: So the neighbors that are living near the data center, 351 00:16:00,560 --> 00:16:02,600 Speaker 7: their water bills have gone up, their electric bills have 352 00:16:02,640 --> 00:16:05,840 Speaker 7: gone up, and their water is not running clean. They 353 00:16:05,840 --> 00:16:09,280 Speaker 7: don't have clean water anymore, and they've got like just 354 00:16:09,400 --> 00:16:11,600 Speaker 7: layers of dust that are coming from the data center 355 00:16:11,600 --> 00:16:12,480 Speaker 7: all over their stuff. 356 00:16:12,560 --> 00:16:15,320 Speaker 5: Like, yeah, it's kind of crazy, and. 357 00:16:15,360 --> 00:16:19,200 Speaker 7: Just the impacts like using generating a one hundred word 358 00:16:19,240 --> 00:16:22,400 Speaker 7: email using CHGPT, it uses the equivalent of one bottle 359 00:16:22,400 --> 00:16:25,160 Speaker 7: of water, and people are doing this all day long. 360 00:16:25,240 --> 00:16:29,600 Speaker 7: So it's you know, hundreds of thousands of metric tons 361 00:16:29,600 --> 00:16:35,280 Speaker 7: of water being used every day, and water is not 362 00:16:35,360 --> 00:16:40,200 Speaker 7: necessarily an infinite resource, right indeed, so it's kind of 363 00:16:40,240 --> 00:16:43,160 Speaker 7: it's it's kind of scary. Plus they're saying that the 364 00:16:43,280 --> 00:16:48,960 Speaker 7: use of AI has increased carbon emissions by forty just 365 00:16:49,120 --> 00:16:57,240 Speaker 7: Microsoft's emissions have increased by yeah. 366 00:16:53,280 --> 00:16:53,360 Speaker 3: And. 367 00:16:56,480 --> 00:16:57,120 Speaker 2: More and more. 368 00:16:57,240 --> 00:16:59,200 Speaker 3: How do y'all feel in the photography space? Do you 369 00:16:59,240 --> 00:17:01,240 Speaker 3: think it's going to take away from you guys as like, 370 00:17:01,280 --> 00:17:02,720 Speaker 3: for example, Josh. 371 00:17:02,320 --> 00:17:02,960 Speaker 2: Doing a wedding. 372 00:17:03,920 --> 00:17:05,640 Speaker 3: Do you think people be able to use AI after 373 00:17:05,800 --> 00:17:07,760 Speaker 3: just use iPhone pictures and then pop it into something 374 00:17:07,800 --> 00:17:11,399 Speaker 3: and generate it and then no longer hire photographers. 375 00:17:12,040 --> 00:17:15,040 Speaker 6: That's possible, but I think people care enough about the 376 00:17:15,080 --> 00:17:19,240 Speaker 6: way the photos look that they wouldn't use AI. I mean, 377 00:17:19,280 --> 00:17:23,760 Speaker 6: that's that's just my experience. I think the photos from 378 00:17:23,640 --> 00:17:27,800 Speaker 6: a from a photography standpoint, any AI art just looks soulless, 379 00:17:27,960 --> 00:17:31,879 Speaker 6: like it's it doesn't have I mean, AI is great 380 00:17:31,920 --> 00:17:35,920 Speaker 6: for like generating things, but it doesn't create to create 381 00:17:36,280 --> 00:17:38,240 Speaker 6: its kind of creator, doesn't make things. 382 00:17:38,119 --> 00:17:38,720 Speaker 1: Up out of nowhere. 383 00:17:38,760 --> 00:17:39,480 Speaker 2: But it can enhance. 384 00:17:39,560 --> 00:17:41,240 Speaker 6: You have to, Yeah, you have to prompt it. It 385 00:17:41,280 --> 00:17:43,600 Speaker 6: has to be fed a bunch of data for it 386 00:17:43,640 --> 00:17:46,840 Speaker 6: to come up with something. I agree, it's not original. 387 00:17:47,000 --> 00:17:51,160 Speaker 6: So you see people you're doing it AI headshots right now. 388 00:17:51,200 --> 00:17:54,840 Speaker 6: Where the technology is I don't think. I think I 389 00:17:54,840 --> 00:17:59,639 Speaker 6: think will advance how much it advances and how you 390 00:17:59,680 --> 00:18:03,040 Speaker 6: know Howard bridges the gap between appearing to be AI 391 00:18:03,200 --> 00:18:06,600 Speaker 6: and something realistic. Who knows, But right now I feel 392 00:18:06,640 --> 00:18:08,800 Speaker 6: like I think our jobs are safe when it comes 393 00:18:08,800 --> 00:18:09,160 Speaker 6: to AI. 394 00:18:09,640 --> 00:18:10,119 Speaker 5: I mean, on the. 395 00:18:10,080 --> 00:18:13,720 Speaker 6: Flip side, I think AI's tools that help photographers or 396 00:18:13,760 --> 00:18:18,320 Speaker 6: creatives with efficiency and time and all that stuff. 397 00:18:18,359 --> 00:18:20,960 Speaker 1: I think that's I agree with that. 398 00:18:21,680 --> 00:18:23,879 Speaker 6: I mean, that's the thing that we should be focused 399 00:18:23,920 --> 00:18:26,520 Speaker 6: on more as opposed to the threat of our jobs 400 00:18:26,720 --> 00:18:29,680 Speaker 6: as a as a creator. I think once you're using 401 00:18:29,760 --> 00:18:36,400 Speaker 6: the tools to enhance the experience or your your innovativeness 402 00:18:36,520 --> 00:18:41,119 Speaker 6: or your efficiency or whatever it is, I think you 403 00:18:41,119 --> 00:18:43,520 Speaker 6: should we should be focused more on that as opposed 404 00:18:43,560 --> 00:18:46,480 Speaker 6: to using it as you know, like a career ending, 405 00:18:47,080 --> 00:18:48,400 Speaker 6: you know, sort of situation. 406 00:18:49,480 --> 00:18:50,480 Speaker 1: That's just my take. 407 00:18:51,200 --> 00:18:54,440 Speaker 4: Because when you're writing pitches, you can use AI to 408 00:18:54,480 --> 00:18:56,440 Speaker 4: write a pitch. But if you use AI to write 409 00:18:56,440 --> 00:18:57,840 Speaker 4: a pitch, you look at it and be like, this 410 00:18:57,920 --> 00:19:02,120 Speaker 4: has no soul. Just try to I was like, nah, 411 00:19:02,160 --> 00:19:04,840 Speaker 4: I gotta, I gotta do it myself. I gotta write 412 00:19:04,840 --> 00:19:05,440 Speaker 4: my own things. 413 00:19:05,480 --> 00:19:05,840 Speaker 1: I gotta. 414 00:19:06,000 --> 00:19:08,800 Speaker 3: Yeah. So about using it almost like a skeleton, like okay, 415 00:19:08,960 --> 00:19:11,639 Speaker 3: I can use this as like a basis to like 416 00:19:11,760 --> 00:19:13,840 Speaker 3: jog my my brain a bit to say, Okay, this 417 00:19:13,880 --> 00:19:14,840 Speaker 3: is the route I can take it. 418 00:19:15,119 --> 00:19:15,560 Speaker 5: That's how. 419 00:19:17,960 --> 00:19:19,480 Speaker 6: I think it has its usee especially when you have 420 00:19:19,560 --> 00:19:23,120 Speaker 6: the bones, you have everything. But I mean I think 421 00:19:23,160 --> 00:19:25,400 Speaker 6: like a like a chat box, like a GPT, you're 422 00:19:25,600 --> 00:19:29,880 Speaker 6: using it to refine your thoughts and ideas as supposed 423 00:19:29,920 --> 00:19:32,879 Speaker 6: to create your thoughts and ideas. You know what I'm saying. 424 00:19:33,440 --> 00:19:37,840 Speaker 1: That's a good point. Refinement, not creation. I think that's 425 00:19:37,840 --> 00:19:39,639 Speaker 1: the only way it works. I agree with that. 426 00:19:41,160 --> 00:19:41,440 Speaker 2: Cool. 427 00:19:42,280 --> 00:19:44,440 Speaker 3: All right, Well, let's take a quick break and we'll 428 00:19:44,440 --> 00:19:46,440 Speaker 3: be back with our listener letter of the day. 429 00:19:46,720 --> 00:19:47,520 Speaker 2: Stick around, y'all. 430 00:20:00,200 --> 00:20:02,920 Speaker 1: It was good job. We back listen to letters Kadean's 431 00:20:02,920 --> 00:20:03,480 Speaker 1: favorite part. 432 00:20:04,640 --> 00:20:07,800 Speaker 4: Hey, Vallen, Kadeen, I'm writing because I genuinely admired the ease, chemistry, 433 00:20:07,800 --> 00:20:10,639 Speaker 4: and longevity of your relationship, and I'm struggling and with 434 00:20:10,720 --> 00:20:12,639 Speaker 4: something I don't hear talked about enough. 435 00:20:13,000 --> 00:20:15,200 Speaker 1: My husband and I met in college when we were nineteen. 436 00:20:15,760 --> 00:20:16,680 Speaker 1: We'll call him Kid. 437 00:20:17,119 --> 00:20:19,400 Speaker 4: We dated briefly but broke up because I wasn't ready 438 00:20:19,400 --> 00:20:21,640 Speaker 4: to lose my virginity at the time, and an ex 439 00:20:21,680 --> 00:20:23,480 Speaker 4: of his came back into the picture and he wanted 440 00:20:23,480 --> 00:20:26,240 Speaker 4: to explore that I was hurt, but I eventually moved on. 441 00:20:26,680 --> 00:20:30,439 Speaker 1: I later dated someone else, we'll call him A. I like, 442 00:20:30,480 --> 00:20:31,400 Speaker 1: how you setting this up? 443 00:20:32,280 --> 00:20:35,720 Speaker 4: He was very A was very charismatic, and connection and 444 00:20:35,760 --> 00:20:39,359 Speaker 4: conversation felt easy and natural. While that relationship didn't ultimately 445 00:20:39,440 --> 00:20:42,560 Speaker 4: work out, it showed me what effortless chemistry and emotional 446 00:20:42,600 --> 00:20:43,439 Speaker 4: flow felt like. 447 00:20:43,800 --> 00:20:45,879 Speaker 1: When A and I broke up, KID came. 448 00:20:45,760 --> 00:20:48,520 Speaker 4: Back into my life when we were around twenty five. 449 00:20:48,760 --> 00:20:51,560 Speaker 4: He was sincere and genuinely remorseful about how things ended 450 00:20:51,600 --> 00:20:53,920 Speaker 4: in college, and I decided to give him another chance. 451 00:20:54,240 --> 00:20:54,960 Speaker 1: It seemed like. 452 00:20:54,960 --> 00:20:58,600 Speaker 4: Fake because the breakup with A was my first real 453 00:20:58,640 --> 00:21:01,159 Speaker 4: relationship and I was deeply hurt, and I prayed so 454 00:21:01,240 --> 00:21:03,560 Speaker 4: hard for a man of certain honorable qualities to show 455 00:21:03,640 --> 00:21:07,240 Speaker 4: up in my life. About three months later, Kid spins 456 00:21:07,240 --> 00:21:10,159 Speaker 4: the block. Most of our relationship the second time around 457 00:21:10,200 --> 00:21:12,760 Speaker 4: was long distance. I was pursuing my master's degree in 458 00:21:12,760 --> 00:21:15,720 Speaker 4: the States and he was overseas in the military. We 459 00:21:15,840 --> 00:21:18,080 Speaker 4: visited each other as much as possible and stayed in 460 00:21:18,119 --> 00:21:22,639 Speaker 4: constant communication. Eventually we got engaged, and once I graduated, 461 00:21:22,680 --> 00:21:26,119 Speaker 4: we got married and we moved in together. Recently celebrated 462 00:21:26,200 --> 00:21:29,240 Speaker 4: six months of marriage. We're both twenty eight now. When paper, 463 00:21:29,280 --> 00:21:32,000 Speaker 4: my husband checks so many important boxes. He's a provider, 464 00:21:32,119 --> 00:21:36,560 Speaker 4: financially stable, can be spiritually present at times, protective, honest, dependable, 465 00:21:36,720 --> 00:21:39,360 Speaker 4: and we share strong values. I feel safe with him 466 00:21:39,520 --> 00:21:42,119 Speaker 4: and compatible in many ways, and I respect him deeply. 467 00:21:42,480 --> 00:21:45,120 Speaker 4: But I'm afraid we lack chemistry, which I noticed during 468 00:21:45,200 --> 00:21:47,360 Speaker 4: much of our long distance relationship. But I figured once 469 00:21:47,359 --> 00:21:49,919 Speaker 4: we moved in things could possibly change, or maybe it 470 00:21:49,960 --> 00:21:53,000 Speaker 4: can be overlooked. Would I admire so much about your relationship, 471 00:21:53,040 --> 00:21:55,080 Speaker 4: the fund that spark the ease and how you connect 472 00:21:55,160 --> 00:21:59,960 Speaker 4: and communicate feels missing in mind. I connect by being goofy, playful, witty, 473 00:22:00,040 --> 00:22:04,040 Speaker 4: sarcastic and animated, not like me. My husband is very stoic, reserved, 474 00:22:04,040 --> 00:22:07,840 Speaker 4: and socially awkward, long winded, and logical. Over time, our 475 00:22:07,960 --> 00:22:11,560 Speaker 4: personalities have started to clash. I often feel like I'm 476 00:22:11,560 --> 00:22:16,040 Speaker 4: carrying the emotional and conversational energy in the relationship, as 477 00:22:16,080 --> 00:22:19,320 Speaker 4: most of my advances to bright light, to bring light, 478 00:22:19,480 --> 00:22:22,440 Speaker 4: banter or playfulness into our relationship is met with dead ass, 479 00:22:22,560 --> 00:22:25,840 Speaker 4: unresponsiveness or I'm not in a joking mood, which I 480 00:22:25,880 --> 00:22:28,880 Speaker 4: reply in my head, when are you ever I've tried 481 00:22:28,920 --> 00:22:31,000 Speaker 4: to talk to him about this more than once, but 482 00:22:31,040 --> 00:22:33,439 Speaker 4: I'm struggling with the feeling that chemistry isn't something you 483 00:22:33,480 --> 00:22:36,760 Speaker 4: can coach. It feels either natural or it isn't, and 484 00:22:36,840 --> 00:22:39,520 Speaker 4: that's been hard for me to reconcile. It hasn't been 485 00:22:39,560 --> 00:22:42,080 Speaker 4: all bad. We do have moments of fun, but not 486 00:22:42,119 --> 00:22:44,840 Speaker 4: a lot. My dilemma is this, I feel like I'd 487 00:22:44,840 --> 00:22:47,560 Speaker 4: be walking away from a lot if I leave a 488 00:22:47,560 --> 00:22:50,359 Speaker 4: good man's stability, shared values in a marriage I didn't 489 00:22:50,760 --> 00:22:53,520 Speaker 4: take lightly. But I'm also afraid that if I stay, 490 00:22:53,640 --> 00:22:57,920 Speaker 4: I'll grow resentful, emotionally stiff or stifled, and slowly losing 491 00:22:57,960 --> 00:23:00,879 Speaker 4: parts of myself. How do you just concern whether this 492 00:23:01,040 --> 00:23:04,920 Speaker 4: is something that you can grow with time and intentionality, 493 00:23:05,040 --> 00:23:07,800 Speaker 4: or whether it's a fundamental incompatibility. 494 00:23:07,880 --> 00:23:08,879 Speaker 1: How do you honor. 495 00:23:08,640 --> 00:23:11,520 Speaker 4: Both commitment and emotional truth when they feel it odds? 496 00:23:11,840 --> 00:23:14,560 Speaker 4: Thank you for the space you create for these conversations. 497 00:23:14,880 --> 00:23:18,800 Speaker 2: Very well written. First of all, did you check GPT this? 498 00:23:20,160 --> 00:23:22,280 Speaker 3: I want to know you know the thing that stood 499 00:23:22,280 --> 00:23:28,600 Speaker 3: out to me here in this entire thing, things could 500 00:23:28,640 --> 00:23:30,080 Speaker 3: possibly change. 501 00:23:29,800 --> 00:23:32,200 Speaker 2: Or maybe it can be overlooked. 502 00:23:33,200 --> 00:23:36,160 Speaker 3: Never enter into a relationship feeling like things are going 503 00:23:36,200 --> 00:23:40,880 Speaker 3: to change or be overlooked. That is the biggest mistake 504 00:23:41,240 --> 00:23:44,400 Speaker 3: of all I know several people who have entered into 505 00:23:44,520 --> 00:23:49,040 Speaker 3: relationships marriage thinking, oh, over time, he or she will adapt, 506 00:23:49,359 --> 00:23:51,439 Speaker 3: things will change, it'll get better. 507 00:23:51,560 --> 00:23:54,800 Speaker 2: That's not really who they are. When someone shows. 508 00:23:54,480 --> 00:23:56,919 Speaker 3: You who they are in the very beginning, be willing 509 00:23:56,960 --> 00:23:59,600 Speaker 3: to say, you know what, I can accept and live 510 00:23:59,640 --> 00:24:04,320 Speaker 3: with this person happily if things were to never change. 511 00:24:04,440 --> 00:24:07,119 Speaker 3: And I think that's probably where you went wrong with 512 00:24:07,320 --> 00:24:10,679 Speaker 3: this checking all the boxes you think about, like that 513 00:24:10,720 --> 00:24:13,080 Speaker 3: eighty twenty that people talk about, You're going to find 514 00:24:13,080 --> 00:24:15,159 Speaker 3: someone who probably has eighty percent of the things that 515 00:24:15,200 --> 00:24:17,000 Speaker 3: you love, which are the things you listed here, But 516 00:24:17,000 --> 00:24:19,560 Speaker 3: then there's that missing twenty percent. I feel like you're 517 00:24:19,600 --> 00:24:22,520 Speaker 3: missing twenty percent is something that gives that spark and 518 00:24:22,560 --> 00:24:24,600 Speaker 3: to your point, gives that chemistry, that something and you 519 00:24:24,640 --> 00:24:27,840 Speaker 3: can't jog up a lot of times that person is 520 00:24:27,840 --> 00:24:31,000 Speaker 3: who they are. So that's it's a hard one. 521 00:24:31,160 --> 00:24:32,760 Speaker 2: I think this is a hard one, do you think, Babe? 522 00:24:32,920 --> 00:24:35,399 Speaker 4: No, I actually agree with you when it said that 523 00:24:35,440 --> 00:24:38,040 Speaker 4: she felt like the other that she was describing the 524 00:24:38,080 --> 00:24:40,560 Speaker 4: other guy has that thing. You know what I'm saying 525 00:24:40,560 --> 00:24:43,879 Speaker 4: that me and my husband don't have that connection, but 526 00:24:44,080 --> 00:24:46,679 Speaker 4: he checks the boxes. Yeah, which means it kind of 527 00:24:46,680 --> 00:24:48,639 Speaker 4: feels like you settled because you want to go the 528 00:24:48,680 --> 00:24:51,600 Speaker 4: safe route rather than choosing someone you really really adore 529 00:24:51,640 --> 00:24:54,000 Speaker 4: in love. And the hardest thing about life is doing 530 00:24:54,040 --> 00:24:56,239 Speaker 4: life feeling like you settled, Oh for sure, because that's 531 00:24:56,240 --> 00:24:57,680 Speaker 4: when resentment grows. 532 00:24:57,480 --> 00:25:00,199 Speaker 3: In comparison being the thief of joy because now you 533 00:25:00,200 --> 00:25:03,199 Speaker 3: know you can step away from Kid to get with A, 534 00:25:03,960 --> 00:25:06,399 Speaker 3: and then A was a fun time and then now 535 00:25:06,440 --> 00:25:08,359 Speaker 3: you're back with Kid thinking you find parts of A 536 00:25:08,520 --> 00:25:11,199 Speaker 3: with him and you didn't. And you can't hold that 537 00:25:11,280 --> 00:25:14,360 Speaker 3: against Kid because he kind of was always. 538 00:25:14,000 --> 00:25:14,680 Speaker 2: That for you. 539 00:25:15,600 --> 00:25:17,760 Speaker 1: I agree what you said was right. 540 00:25:18,080 --> 00:25:21,160 Speaker 4: Getting into a relationship thinking oh, this will change over 541 00:25:21,240 --> 00:25:24,679 Speaker 4: time is the first step to disaster, because if that 542 00:25:24,720 --> 00:25:26,240 Speaker 4: person doesn't change, now you stuck. 543 00:25:26,760 --> 00:25:29,240 Speaker 3: I'm curious to know what the conversations look like when 544 00:25:29,280 --> 00:25:31,320 Speaker 3: you say you carry a majority of the emotional and 545 00:25:31,359 --> 00:25:37,160 Speaker 3: conversational energy. Can you decipher his demeanor. 546 00:25:36,800 --> 00:25:38,919 Speaker 2: Him being more stoic and more reserved. 547 00:25:39,840 --> 00:25:42,359 Speaker 3: Is that because of things that may have happened in 548 00:25:42,400 --> 00:25:45,040 Speaker 3: his life, for example, that he may have to work 549 00:25:45,080 --> 00:25:47,040 Speaker 3: through to kind of lighten the mood for him. Is 550 00:25:47,040 --> 00:25:49,680 Speaker 3: he carrying any kind of burdens that he's dealt with. 551 00:25:49,800 --> 00:25:53,639 Speaker 3: Is there something going on currently that's maybe stifling him? 552 00:25:54,600 --> 00:25:57,000 Speaker 3: It may be worth the conversation to say, you know, hey, babe, 553 00:25:57,000 --> 00:25:58,840 Speaker 3: like the times I try to like joke with you 554 00:25:58,960 --> 00:26:01,480 Speaker 3: or take things light, it seems as if there's something 555 00:26:01,560 --> 00:26:04,200 Speaker 3: very heavy on you, like, you know, do you want 556 00:26:04,240 --> 00:26:06,280 Speaker 3: to talk about that? Maybe therapy might be an option 557 00:26:06,480 --> 00:26:08,399 Speaker 3: or that just maybe him. We know some people who 558 00:26:08,440 --> 00:26:09,400 Speaker 3: are just socially awkward. 559 00:26:09,480 --> 00:26:10,640 Speaker 1: Also the change of environment. 560 00:26:11,040 --> 00:26:14,719 Speaker 4: They were long distance relationship and now they moved in together. 561 00:26:14,800 --> 00:26:17,600 Speaker 4: That often causes an issue with people, Like when y'all 562 00:26:17,640 --> 00:26:20,320 Speaker 4: did things away from each other and it's like, okay, 563 00:26:20,359 --> 00:26:22,159 Speaker 4: that joke didn't land. I'm gonna go and get off 564 00:26:22,200 --> 00:26:24,720 Speaker 4: the phone and you have your space. But now the 565 00:26:24,800 --> 00:26:26,760 Speaker 4: joke didn't land, and you're still staring at me in 566 00:26:26,760 --> 00:26:29,480 Speaker 4: the face, and you know what I'm saying, it's different 567 00:26:29,800 --> 00:26:31,760 Speaker 4: because then it's just like when you're not in the mood, 568 00:26:31,800 --> 00:26:33,160 Speaker 4: and what if he's like, what are you talking about? 569 00:26:33,520 --> 00:26:34,320 Speaker 4: Then it's an argument. 570 00:26:34,960 --> 00:26:35,040 Speaker 6: No. 571 00:26:35,119 --> 00:26:36,960 Speaker 4: So I think just the change of environment, maybe it 572 00:26:37,000 --> 00:26:38,760 Speaker 4: just takes some time for them to learn how to communicate. 573 00:26:38,880 --> 00:26:40,240 Speaker 2: That's why I'm always a proponent. 574 00:26:40,240 --> 00:26:42,400 Speaker 3: I forget who I always speaking too recently, but I'm like, yo, 575 00:26:42,960 --> 00:26:45,639 Speaker 3: I'm always a proponent live with that person before you 576 00:26:45,680 --> 00:26:47,800 Speaker 3: decide to get married. See what that shit feels like 577 00:26:47,880 --> 00:26:49,679 Speaker 3: to be with somebody when neither of you can. 578 00:26:49,560 --> 00:26:54,040 Speaker 2: Go anywhere else, You can't escape for what's currently happening. 579 00:26:54,040 --> 00:26:55,760 Speaker 3: And you both live in the same space now, so 580 00:26:55,840 --> 00:26:56,920 Speaker 3: nobody can't go anywhere. 581 00:26:56,960 --> 00:26:58,159 Speaker 2: So what is that going to look like? 582 00:26:58,760 --> 00:27:01,320 Speaker 3: You know, you can't go back to your your designated corners. 583 00:27:01,680 --> 00:27:03,480 Speaker 3: So I'm always an advocate for that. I know people 584 00:27:03,480 --> 00:27:05,000 Speaker 3: call it shacking up, and that's what they used to 585 00:27:05,040 --> 00:27:07,320 Speaker 3: say back in the day, But baby, shack the fuck up, 586 00:27:07,600 --> 00:27:09,720 Speaker 3: so you know exactly what you're gonna be dealing the 587 00:27:09,720 --> 00:27:10,720 Speaker 3: fuck with, you know. 588 00:27:11,200 --> 00:27:12,680 Speaker 5: That's what Bill Hooks talks about. 589 00:27:12,720 --> 00:27:14,680 Speaker 7: I can't remember the exact quote, but she talks about 590 00:27:14,760 --> 00:27:19,200 Speaker 7: love actually being like how you kind of treat someone 591 00:27:19,280 --> 00:27:22,040 Speaker 7: when you don't when they're getting on your nerves, Like 592 00:27:22,119 --> 00:27:24,080 Speaker 7: not when everything is good, but like when you don't 593 00:27:24,119 --> 00:27:26,960 Speaker 7: necessarily want to be around them or you don't like them, 594 00:27:27,240 --> 00:27:29,040 Speaker 7: but you love them, Like how do you treat them? 595 00:27:29,080 --> 00:27:29,199 Speaker 6: How? 596 00:27:29,440 --> 00:27:31,280 Speaker 7: How did you know, do you still can you still 597 00:27:31,320 --> 00:27:32,400 Speaker 7: love them in that situation? 598 00:27:32,840 --> 00:27:33,080 Speaker 5: Right? 599 00:27:33,160 --> 00:27:35,520 Speaker 4: That's a good point. That's a good point because a 600 00:27:35,560 --> 00:27:38,840 Speaker 4: lot of marriages dealing with someone when they're not in 601 00:27:38,880 --> 00:27:42,040 Speaker 4: your best life. That is an absolute fact. If you 602 00:27:42,080 --> 00:27:45,080 Speaker 4: can love somebody when they get in on your nerves, 603 00:27:45,080 --> 00:27:47,240 Speaker 4: that's somebody you can do life in perpetuity with. 604 00:27:47,520 --> 00:27:48,160 Speaker 2: That's a fact. 605 00:27:48,240 --> 00:27:48,879 Speaker 1: That is a fact. 606 00:27:49,000 --> 00:27:52,080 Speaker 3: We're the staple for that, I think because we love 607 00:27:52,080 --> 00:27:55,119 Speaker 3: each other. No, just like we've had moments that we 608 00:27:55,240 --> 00:27:57,560 Speaker 3: worked through, because we just genuinely love each other and 609 00:27:57,720 --> 00:28:00,000 Speaker 3: like each other, you know what I'm saying. Like hardships come, 610 00:28:00,240 --> 00:28:02,880 Speaker 3: but that's at the root of it. We just love 611 00:28:02,960 --> 00:28:03,280 Speaker 3: each other. 612 00:28:03,440 --> 00:28:05,719 Speaker 4: I'm glad you said that because Kevin on stage are 613 00:28:05,720 --> 00:28:09,040 Speaker 4: posted something that said, how come all of the happy, 614 00:28:09,359 --> 00:28:11,000 Speaker 4: happily married people. 615 00:28:11,240 --> 00:28:13,800 Speaker 2: Gate keep what it is? 616 00:28:13,840 --> 00:28:16,119 Speaker 4: And a woman said, it's because if I told you 617 00:28:16,160 --> 00:28:18,439 Speaker 4: as a wife what I did to be in this relationship, 618 00:28:18,440 --> 00:28:20,560 Speaker 4: and my husband told you what he did to be 619 00:28:20,600 --> 00:28:22,960 Speaker 4: in this relationship, y'all will call us submissive and assent 620 00:28:23,080 --> 00:28:23,920 Speaker 4: and we're not trying. 621 00:28:23,680 --> 00:28:24,119 Speaker 1: To hear from you. 622 00:28:24,640 --> 00:28:26,600 Speaker 2: Remember that was a former episode of our. 623 00:28:26,880 --> 00:28:30,360 Speaker 4: Submissively the same thing, but my thing is too, Like, yeah, 624 00:28:30,400 --> 00:28:31,879 Speaker 4: there's certain things you're just going to put up with 625 00:28:31,920 --> 00:28:35,760 Speaker 4: in your relationship because you love that person. Absolutely, You're 626 00:28:35,800 --> 00:28:38,880 Speaker 4: not asking anyone else to agree with you. It's like, 627 00:28:38,920 --> 00:28:41,520 Speaker 4: that's my wife, right, and if my wife wants to 628 00:28:41,520 --> 00:28:43,360 Speaker 4: do this, I want to put up with it because 629 00:28:43,360 --> 00:28:45,920 Speaker 4: that's my wife. I don't expect everyone else to put 630 00:28:46,080 --> 00:28:48,760 Speaker 4: up with that with their wives, right, But that's my wife, right. 631 00:28:48,800 --> 00:28:51,720 Speaker 3: He needs an example, I think, like like, for example, 632 00:28:52,040 --> 00:28:54,080 Speaker 3: Melissa doesn't make his plate. That's not what they do. 633 00:28:54,440 --> 00:28:56,320 Speaker 3: He makes his own plate, He eats when he's ready, Like, 634 00:28:56,440 --> 00:28:58,640 Speaker 3: that's just it. But for other people that might be 635 00:28:58,640 --> 00:29:01,080 Speaker 3: a deal breaker. Life this play or you know, she 636 00:29:01,200 --> 00:29:03,920 Speaker 3: just be walking around like so then there's nothing. 637 00:29:03,760 --> 00:29:05,360 Speaker 2: Right or wrong about it. 638 00:29:05,360 --> 00:29:09,400 Speaker 3: It's literally within the confines of a sharehouse. 639 00:29:10,000 --> 00:29:13,400 Speaker 2: Yeah, that's it. So man, I don't know. Good luck, 640 00:29:13,440 --> 00:29:13,840 Speaker 2: I don't know. 641 00:29:15,080 --> 00:29:17,600 Speaker 4: I think the conversation needs to be had. Yeah, and 642 00:29:17,640 --> 00:29:20,280 Speaker 4: then once the conversation needs to be had, if they're 643 00:29:20,280 --> 00:29:23,440 Speaker 4: willing to mold and bend with each other, I think 644 00:29:23,480 --> 00:29:25,880 Speaker 4: that it can work. If they're willing to work with 645 00:29:25,920 --> 00:29:26,160 Speaker 4: each other. 646 00:29:26,200 --> 00:29:27,680 Speaker 3: That's how you honor use our questions. How do you 647 00:29:27,720 --> 00:29:30,200 Speaker 3: honor both commitment and emotional truth when they feel at 648 00:29:30,200 --> 00:29:34,080 Speaker 3: odds being honest, be honest and real conversations. Yeah, don't 649 00:29:34,120 --> 00:29:37,680 Speaker 3: let it fester, all right, Thanks so much for writing 650 00:29:37,720 --> 00:29:39,560 Speaker 3: in again, very very well written. 651 00:29:40,080 --> 00:29:42,200 Speaker 2: You know, the grammar head in me was very pleased. 652 00:29:43,120 --> 00:29:45,280 Speaker 3: If you want to be featured as a future listener 653 00:29:45,360 --> 00:29:47,880 Speaker 3: letter on one of our episodes, please be sure to 654 00:29:47,960 --> 00:29:51,920 Speaker 3: email us at the Elis Advice at gmail dot com. 655 00:29:52,120 --> 00:29:56,320 Speaker 4: That's t h e E L L s A d 656 00:29:56,760 --> 00:29:59,680 Speaker 4: V I c E at TIMA dot com. 657 00:30:00,160 --> 00:30:01,200 Speaker 1: I'm about to make that a song. 658 00:30:01,200 --> 00:30:05,040 Speaker 2: I'm about to sun I know you will make it jingle. 659 00:30:05,640 --> 00:30:07,080 Speaker 1: I was trying to find it right now, I ain't 660 00:30:07,080 --> 00:30:08,360 Speaker 1: find it. I'm about to find it though. 661 00:30:09,440 --> 00:30:10,880 Speaker 2: All right, y'all, moment of truth. 662 00:30:11,000 --> 00:30:15,520 Speaker 3: We're talking about AI, the future of digital anybody have 663 00:30:15,560 --> 00:30:17,880 Speaker 3: any moments the goat. 664 00:30:17,720 --> 00:30:19,240 Speaker 1: Under six foot that's my moment. 665 00:30:20,560 --> 00:30:21,160 Speaker 2: That's the fact. 666 00:30:21,400 --> 00:30:24,280 Speaker 1: It's real easy. Don't be afraid of AI. Listen to 667 00:30:24,360 --> 00:30:25,520 Speaker 1: what we talked about today. 668 00:30:25,800 --> 00:30:29,360 Speaker 4: Use it as a tool to help elevate your experience, 669 00:30:29,400 --> 00:30:31,120 Speaker 4: but don't use it to create your experience. 670 00:30:31,160 --> 00:30:32,960 Speaker 3: Yeah. Absolutely, I'm going to say, don't rely on it. 671 00:30:33,480 --> 00:30:37,920 Speaker 3: Still appreciate and look for human connection in things. I 672 00:30:37,920 --> 00:30:41,440 Speaker 3: think that's ultimately what I think we're missing a majority 673 00:30:41,640 --> 00:30:44,960 Speaker 3: of the time in this world now is just valuing 674 00:30:45,000 --> 00:30:48,440 Speaker 3: what that human connection looks like, but still also relying 675 00:30:48,440 --> 00:30:51,040 Speaker 3: on the digital space because it does help a lot. 676 00:30:51,640 --> 00:30:53,760 Speaker 2: It's not all doom and gloom, but try to leverage 677 00:30:53,840 --> 00:30:54,800 Speaker 2: the positives of it. 678 00:30:55,760 --> 00:30:57,840 Speaker 6: Yeah, and don't be a loser. 679 00:31:02,360 --> 00:31:04,560 Speaker 2: Don't start that debate a loser. 680 00:31:05,760 --> 00:31:10,480 Speaker 6: Embrace uh, embrace the positive AI, I. 681 00:31:10,400 --> 00:31:16,960 Speaker 7: Would say, before you start posting just silly AI videos, 682 00:31:17,200 --> 00:31:21,080 Speaker 7: just remember that it uses a lot of energy in water. 683 00:31:21,280 --> 00:31:24,680 Speaker 1: That is a fact too, because I didn't know that 684 00:31:25,040 --> 00:31:27,800 Speaker 1: that was just like, I. 685 00:31:27,720 --> 00:31:30,040 Speaker 4: Didn't know that that. That's kind of crazy if you 686 00:31:30,040 --> 00:31:32,440 Speaker 4: think about it. If you value life and the earth, 687 00:31:33,160 --> 00:31:35,440 Speaker 4: you wouldn't just be using chat GPT for one hundred 688 00:31:35,880 --> 00:31:37,560 Speaker 4: word email. Just write the email. 689 00:31:38,920 --> 00:31:40,480 Speaker 1: Serious, you can write emails. 690 00:31:40,800 --> 00:31:43,200 Speaker 5: You definitely don't need to turn yourself into it my bet. 691 00:31:43,640 --> 00:31:44,680 Speaker 2: Yeah right, Yeah. 692 00:31:44,720 --> 00:31:46,480 Speaker 5: The talking babies are cute, but. 693 00:31:48,800 --> 00:31:50,760 Speaker 1: I don't use that's not that's not my thing. 694 00:31:50,800 --> 00:31:52,880 Speaker 3: I'm just I know, we just have to stay at 695 00:31:52,880 --> 00:31:55,160 Speaker 3: breast of it because of the you know, because I 696 00:31:55,200 --> 00:31:56,640 Speaker 3: don't know where they gonna be a I and from 697 00:31:56,640 --> 00:31:58,959 Speaker 3: the from his little phones when they get them. So 698 00:32:00,080 --> 00:32:02,080 Speaker 3: all right, y'all, be sure to find us on Patreon 699 00:32:02,120 --> 00:32:03,800 Speaker 3: if you have not yet. That's where you can see 700 00:32:03,840 --> 00:32:07,560 Speaker 3: the after show as well as exclusive Ellis family content 701 00:32:07,600 --> 00:32:10,240 Speaker 3: because you know there's always happening up in this house. 702 00:32:10,760 --> 00:32:13,000 Speaker 3: And then you can find us on social media at 703 00:32:13,280 --> 00:32:16,800 Speaker 3: the Ellis Sorry, at Ellis ever After, I'm Kadeen, I am. 704 00:32:16,840 --> 00:32:19,120 Speaker 6: And I am Deval come on the score Matt Ellis 705 00:32:19,160 --> 00:32:21,440 Speaker 6: and I'm Joshua Underscore Dwayne. 706 00:32:21,080 --> 00:32:23,640 Speaker 7: I'm at Trips the Cool t ri ibb Z, the 707 00:32:23,760 --> 00:32:25,120 Speaker 7: Cool on Everything And. 708 00:32:25,080 --> 00:32:27,440 Speaker 4: If you're listening on Apple Podcast, be sure to rate, 709 00:32:27,800 --> 00:32:29,240 Speaker 4: review and subscribe. 710 00:32:29,800 --> 00:32:31,000 Speaker 5: Dad ask y'all. 711 00:32:33,560 --> 00:32:33,800 Speaker 3: God. 712 00:32:34,520 --> 00:32:38,480 Speaker 7: Ellis ever After is an iHeartMedia podcast. It's hosted by 713 00:32:38,600 --> 00:32:43,440 Speaker 7: Kadeen and Deval Ellis. It's produced by Triple Video, Production 714 00:32:43,640 --> 00:33:58,360 Speaker 7: by Joshua, Dwayne and Matthew Ellis, video editing by leshan Roe. 715 00:34:00,760 --> 00:34:08,440 Speaker 5: If it hadn't nobody