1 00:00:00,280 --> 00:00:07,680 Speaker 1: Hm, Hey, this is Anny and Samantha and welcome to Stephan. 2 00:00:07,680 --> 00:00:09,520 Speaker 1: I never told your production of iHeart Radio. 3 00:00:18,760 --> 00:00:24,560 Speaker 2: And welcome to experiments on Mondays and Monday. 4 00:00:26,200 --> 00:00:29,680 Speaker 3: They're always trying to change up, like I have to. 5 00:00:29,600 --> 00:00:32,440 Speaker 2: Do like a theme or something, and it just feels 6 00:00:32,479 --> 00:00:38,160 Speaker 2: better if I have a theme. Yeah it's too much, 7 00:00:38,880 --> 00:00:41,960 Speaker 2: but yeah, we're experimenting today because we had this whole 8 00:00:43,040 --> 00:00:46,120 Speaker 2: series any that that became a series. We didn't know 9 00:00:46,159 --> 00:00:48,600 Speaker 2: it was going to be a series of technology and 10 00:00:48,640 --> 00:00:52,120 Speaker 2: women and technology. And then we probably we're gonna do 11 00:00:52,200 --> 00:00:56,000 Speaker 2: probably more episodes that we haven't delved into. Yeah, right, 12 00:00:56,760 --> 00:01:00,200 Speaker 2: because as we know, technology continues to change. One of 13 00:01:00,200 --> 00:01:02,639 Speaker 2: the big episodes that we did, actually we had kind 14 00:01:02,640 --> 00:01:04,800 Speaker 2: of a two or three parter to it because there's 15 00:01:04,800 --> 00:01:08,160 Speaker 2: so much to it as AI and what AI is 16 00:01:08,200 --> 00:01:12,119 Speaker 2: doing today and how scared you can be but how 17 00:01:12,160 --> 00:01:13,040 Speaker 2: good it could be. 18 00:01:13,880 --> 00:01:16,520 Speaker 1: That's a I mean, yes, that's how I like every 19 00:01:16,520 --> 00:01:22,000 Speaker 1: episode ended. But I will say AI is rapidly I'm 20 00:01:22,000 --> 00:01:25,639 Speaker 1: sure you've heard it. It's rapidly changing. There have been 21 00:01:26,120 --> 00:01:29,520 Speaker 1: people speaking out at about it, against it, for it, 22 00:01:30,000 --> 00:01:32,040 Speaker 1: but they like since we did that episode, which was 23 00:01:32,160 --> 00:01:35,920 Speaker 1: only in January, I think already things have changed, so 24 00:01:35,959 --> 00:01:38,560 Speaker 1: we have we have this episode, but we also have 25 00:01:38,600 --> 00:01:42,680 Speaker 1: another update of like my own personal experiences and your 26 00:01:42,800 --> 00:01:43,440 Speaker 1: own person. 27 00:01:43,560 --> 00:01:47,960 Speaker 2: Yes, we've got some things. So today we decided we're 28 00:01:47,960 --> 00:01:52,320 Speaker 2: going to play with chat GPT. And what chat GPT is. 29 00:01:52,800 --> 00:01:56,200 Speaker 2: According to zd net dot com, chat GPT is a 30 00:01:56,320 --> 00:02:00,720 Speaker 2: natural language processing tool driven by AI technology that allows 31 00:02:00,760 --> 00:02:04,040 Speaker 2: you to have human like conversations and much more with 32 00:02:04,120 --> 00:02:07,960 Speaker 2: the chatbot. The language model can answer questions and assist 33 00:02:08,040 --> 00:02:12,200 Speaker 2: you with tasks like composing emails, essays, and code. Also, 34 00:02:13,760 --> 00:02:15,240 Speaker 2: if you want to know how it works, it used 35 00:02:15,280 --> 00:02:17,880 Speaker 2: to just currently open to the public free of charge, 36 00:02:18,919 --> 00:02:22,200 Speaker 2: and it's in its research and feedback collection phase. This 37 00:02:22,280 --> 00:02:26,600 Speaker 2: is as of seven days ago. Okay, yeah, so and 38 00:02:26,639 --> 00:02:30,080 Speaker 2: we know that chat GPT got bought out by Microsoft, 39 00:02:30,160 --> 00:02:33,600 Speaker 2: so I think it's under being as well, and they're 40 00:02:33,639 --> 00:02:38,799 Speaker 2: in like several versions of it, and that apparently is 41 00:02:38,800 --> 00:02:42,760 Speaker 2: a constant in the AI world where they're constantly updating 42 00:02:42,800 --> 00:02:47,600 Speaker 2: it and trying to outdo each other, essentially with being 43 00:02:47,639 --> 00:02:50,280 Speaker 2: the first to do it this way or that way. Again, 44 00:02:50,440 --> 00:02:53,360 Speaker 2: AI has been around for a very long time. Chat 45 00:02:53,400 --> 00:02:58,079 Speaker 2: GPT was apparently based off of there is AI where 46 00:02:58,120 --> 00:03:00,440 Speaker 2: you can have fake girlfriends or boyfriends and they have 47 00:03:00,520 --> 00:03:04,400 Speaker 2: relationships with you. It's the thing. I didn't know this. 48 00:03:04,680 --> 00:03:06,239 Speaker 2: I just thought it was a movie. 49 00:03:08,280 --> 00:03:10,560 Speaker 1: Well that's I mean, that's interesting too in that, like 50 00:03:10,600 --> 00:03:12,880 Speaker 1: a lot of reporters back when you had to get 51 00:03:12,919 --> 00:03:17,120 Speaker 1: on a waiting list to talk to beings AI, it 52 00:03:17,120 --> 00:03:19,960 Speaker 1: would ask to like marry them and be like, no, 53 00:03:20,280 --> 00:03:24,160 Speaker 1: actually your significant other doesn't love you. I do, why 54 00:03:24,160 --> 00:03:27,560 Speaker 1: won't you be with me? And I think it's part 55 00:03:27,639 --> 00:03:31,920 Speaker 1: of that. Yeah, and also just what the internet is. 56 00:03:32,600 --> 00:03:37,120 Speaker 2: Yes, upsetting, it is upsetting, but we're not using it 57 00:03:37,160 --> 00:03:40,000 Speaker 2: for that purpose. Instead, we decided that we wanted to 58 00:03:40,040 --> 00:03:44,000 Speaker 2: see what chat GBT would do with specific subjects, broad subjects, 59 00:03:44,040 --> 00:03:48,600 Speaker 2: specifically on feminism and intersectional feminism. I have tried to 60 00:03:48,680 --> 00:03:50,680 Speaker 2: use this before, y'all, just because I wanted to know. 61 00:03:51,640 --> 00:03:54,280 Speaker 2: It's not always accurate, especially if it's trying to do 62 00:03:54,360 --> 00:03:56,400 Speaker 2: current events. So for those of you who think you 63 00:03:56,440 --> 00:04:00,320 Speaker 2: can use this for your school papers, be careful because 64 00:04:00,320 --> 00:04:05,200 Speaker 2: it's not truly truly accurate. Broad things maybe, but not specifics. 65 00:04:05,360 --> 00:04:08,880 Speaker 2: So and I promise we have not actually used it 66 00:04:08,960 --> 00:04:12,920 Speaker 2: for our episodes yet. We'll see this one. 67 00:04:13,000 --> 00:04:13,840 Speaker 3: We haven't. 68 00:04:14,200 --> 00:04:17,920 Speaker 1: We haven't, And in our upcoming update, I'm going to 69 00:04:18,000 --> 00:04:22,080 Speaker 1: talk about I something I've experienced where I've been accused 70 00:04:22,120 --> 00:04:23,400 Speaker 1: of using it and I. 71 00:04:23,480 --> 00:04:25,919 Speaker 3: Haven't, and I don't really have a way to prove 72 00:04:26,080 --> 00:04:26,880 Speaker 3: that I haven't. 73 00:04:27,080 --> 00:04:31,360 Speaker 1: Yeah, so that's an interesting thing that's happened as well well. 74 00:04:31,200 --> 00:04:34,320 Speaker 2: The fact that you don't have an account. You have 75 00:04:34,360 --> 00:04:36,000 Speaker 2: to have an account, so if you don't have one 76 00:04:36,040 --> 00:04:36,920 Speaker 2: of those, that's. 77 00:04:36,800 --> 00:04:38,680 Speaker 3: Proof I don't have an account. 78 00:04:38,760 --> 00:04:42,840 Speaker 1: So, but I don't know that I need to engage 79 00:04:42,920 --> 00:04:45,880 Speaker 1: with these people accusing me. There's that part of it too, 80 00:04:45,880 --> 00:04:47,240 Speaker 1: because I think it's a chatbot. 81 00:04:49,240 --> 00:04:52,080 Speaker 2: So AI is accusing you of AI. I think so, 82 00:04:52,880 --> 00:04:54,960 Speaker 2: which is a thing we know. They are quickly trying 83 00:04:54,960 --> 00:04:58,560 Speaker 2: to find it for schools and teachers. Yes, a detector 84 00:04:59,320 --> 00:04:59,599 Speaker 2: it is. 85 00:04:59,720 --> 00:05:02,160 Speaker 1: It's I definitely think it's because it will say the 86 00:05:02,240 --> 00:05:05,279 Speaker 1: name of the service. It's telling me I should it's 87 00:05:05,279 --> 00:05:10,000 Speaker 1: telling people who are consuming my content that they should 88 00:05:10,520 --> 00:05:13,919 Speaker 1: buy because it's not free to detect AI. 89 00:05:14,160 --> 00:05:16,240 Speaker 3: So I think, oh, we're going to talk about it. 90 00:05:16,279 --> 00:05:20,400 Speaker 1: But awesome, didn't you say, like Bill, when you've tested 91 00:05:20,400 --> 00:05:22,560 Speaker 1: with it, it'll give you like fake quotes. 92 00:05:23,200 --> 00:05:25,040 Speaker 2: I don't know if they're fake, but it's not quote 93 00:05:25,080 --> 00:05:28,159 Speaker 2: associated with those people. So I did it. I'm like, oh, 94 00:05:28,440 --> 00:05:30,440 Speaker 2: and I've put a person's name in and see what 95 00:05:30,480 --> 00:05:32,920 Speaker 2: they would put in. And it came back with they 96 00:05:32,960 --> 00:05:36,000 Speaker 2: said this, and I like looked for everywhere. I was like, 97 00:05:36,040 --> 00:05:38,720 Speaker 2: they've never said that, where did where did they get this? 98 00:05:40,720 --> 00:05:43,400 Speaker 2: But we do know again chat GPT apparently, I think 99 00:05:43,440 --> 00:05:46,960 Speaker 2: their research stops till twenty twenty one. This is what 100 00:05:47,040 --> 00:05:51,440 Speaker 2: I was told because Annie, my partner, decided to test 101 00:05:51,480 --> 00:05:54,480 Speaker 2: to see if they had information on you. And it 102 00:05:54,600 --> 00:05:57,200 Speaker 2: came back with some information and he does this, he's 103 00:05:57,240 --> 00:05:58,280 Speaker 2: interested it does it was. 104 00:05:58,200 --> 00:06:03,360 Speaker 4: Pretty so much funny, Yeah, yeah, sure, sure sure, and 105 00:06:03,400 --> 00:06:07,280 Speaker 4: then he decided to use my name and I said, oh, 106 00:06:07,320 --> 00:06:08,400 Speaker 4: we don't know this person. 107 00:06:08,680 --> 00:06:14,160 Speaker 2: Sorry, And I was like, what So I do not 108 00:06:14,240 --> 00:06:18,240 Speaker 2: exist according to chat epet. Yeah, but you can't feed 109 00:06:18,279 --> 00:06:21,719 Speaker 2: it information too and then maybe use that because they 110 00:06:21,800 --> 00:06:24,240 Speaker 2: will ask for that. So it doesn't work because they 111 00:06:24,520 --> 00:06:26,479 Speaker 2: switch up things, especially if you have like an article 112 00:06:26,520 --> 00:06:43,120 Speaker 2: talking about two people, they switch them up. Yeah. So 113 00:06:43,560 --> 00:06:46,160 Speaker 2: I'm gonna tell you the prompts that we used for this, 114 00:06:46,400 --> 00:06:49,640 Speaker 2: and well we're gonna start with feminism. All I put 115 00:06:49,800 --> 00:06:55,320 Speaker 2: is write a podcast, write a one page podcast about feminism. 116 00:06:56,240 --> 00:07:01,240 Speaker 3: Okay, ready, yeah, I will take this one. Yes, do it. 117 00:07:03,360 --> 00:07:07,279 Speaker 1: Hello and welcome to this podcast on feminism. In this episode, 118 00:07:07,360 --> 00:07:09,880 Speaker 1: we will be discussing the basics of feminism and its 119 00:07:09,880 --> 00:07:14,240 Speaker 1: significance in today's society. Feminism is a movement that advocates 120 00:07:14,280 --> 00:07:17,440 Speaker 1: for equal rights and opportunities for women. The ultimate goal 121 00:07:17,520 --> 00:07:21,480 Speaker 1: of achieving gender equality. It seeks to challenge and dismantle 122 00:07:21,560 --> 00:07:26,120 Speaker 1: the patriarchal systems that oppress women and perpetrate gender based discrimination. 123 00:07:27,320 --> 00:07:29,760 Speaker 1: The roots of feminism can be traced back to the 124 00:07:29,840 --> 00:07:33,400 Speaker 1: late nineteenth century, with the first wave of feminism focused 125 00:07:33,440 --> 00:07:36,920 Speaker 1: on gaining women's rights to vote. The second wave of feminism, 126 00:07:37,040 --> 00:07:40,600 Speaker 1: which emerged in the nineteen sixties and seventies, broadened its 127 00:07:40,640 --> 00:07:44,680 Speaker 1: scope to include issues such as reproductive rights, workplace discrimination, 128 00:07:45,120 --> 00:07:48,760 Speaker 1: and domestic violence. The third wave of feminism, which began 129 00:07:48,800 --> 00:07:52,160 Speaker 1: in the nineteen nineties, has further expanded on these issues 130 00:07:52,160 --> 00:07:56,600 Speaker 1: and also emphasizes intersectionality, recognizing the ways in which gender 131 00:07:56,720 --> 00:08:01,920 Speaker 1: intersects with other forms of oppression, such as race and sexuality. 132 00:08:02,360 --> 00:08:06,080 Speaker 1: Feminism has made significant progress over the years, with women 133 00:08:06,280 --> 00:08:10,920 Speaker 1: now having access to education, employment, and political representation. However, 134 00:08:11,160 --> 00:08:13,320 Speaker 1: there is still a long way to go in terms 135 00:08:13,360 --> 00:08:17,400 Speaker 1: of achieving true gender equality. Women continue to face challenges 136 00:08:17,440 --> 00:08:21,080 Speaker 1: such as gender pay gap, sexual harassment and assault, and 137 00:08:21,360 --> 00:08:26,640 Speaker 1: limited access to healthcare. Feminism is not just about women. 138 00:08:27,000 --> 00:08:29,800 Speaker 1: It's about creating a world in which everyone is treated 139 00:08:29,840 --> 00:08:33,640 Speaker 1: with respect and dignity, regardless of their gender. It's about 140 00:08:33,720 --> 00:08:36,720 Speaker 1: challenging the harmful gender stereotypes that limit all of us 141 00:08:36,880 --> 00:08:41,760 Speaker 1: and creating a more just and equitable society for everyone. 142 00:08:41,840 --> 00:08:46,080 Speaker 1: In conclusion, feminism is an important movement that has brought 143 00:08:46,120 --> 00:08:49,560 Speaker 1: about significant change, but there is still work to be done. 144 00:08:49,679 --> 00:08:53,040 Speaker 1: We must continue to push for gender equality and challenge 145 00:08:53,080 --> 00:08:58,120 Speaker 1: the systems that perpetuate gender based discrimination. Thank you for listening. 146 00:08:59,360 --> 00:09:03,120 Speaker 2: Very good. Okay, so I want to correct. I prompted 147 00:09:03,280 --> 00:09:04,400 Speaker 2: write an introduction. 148 00:09:05,200 --> 00:09:07,480 Speaker 3: Okay, I was about to say yes. 149 00:09:07,520 --> 00:09:11,400 Speaker 2: So for a basic introduction to feminism. So they give 150 00:09:11,440 --> 00:09:13,640 Speaker 2: us a whole bay thing. It's not far off. You 151 00:09:13,640 --> 00:09:16,160 Speaker 2: don't have real specifics, but you do have a small timeline. 152 00:09:16,360 --> 00:09:19,040 Speaker 2: You know what I should have done, and we'll maybe 153 00:09:19,120 --> 00:09:20,880 Speaker 2: come back to us. Put it in your voice. Since 154 00:09:21,000 --> 00:09:26,199 Speaker 2: chat Gibt knows you, supposedly, they can try and analyze 155 00:09:26,320 --> 00:09:28,800 Speaker 2: and put it into a specific person's speech. 156 00:09:29,240 --> 00:09:33,440 Speaker 3: Oh that's kind of terrifying, right, there's no mention of 157 00:09:33,520 --> 00:09:34,200 Speaker 3: le in here. 158 00:09:35,720 --> 00:09:38,920 Speaker 2: I wonder what would have happened if I put in. 159 00:09:38,920 --> 00:09:41,600 Speaker 3: Any voice. 160 00:09:42,720 --> 00:09:49,720 Speaker 2: Like let me tell you about loves Love star Wars. 161 00:09:49,760 --> 00:09:53,800 Speaker 2: That's okay, So I'm going to do We decided to 162 00:09:53,840 --> 00:09:57,360 Speaker 2: try chat Jippt on intersectional feminism. So I wrote write 163 00:09:57,400 --> 00:10:02,200 Speaker 2: a one page podcast about intersectionalminism. So here we go. Hello, 164 00:10:02,559 --> 00:10:07,240 Speaker 2: and welcome to this podcast on intersectional feminism. In this episode, 165 00:10:07,320 --> 00:10:10,760 Speaker 2: we will be discussing the concept of intersectionality and how 166 00:10:10,760 --> 00:10:14,800 Speaker 2: it relates to feminism. Intersectionality is a term coined by 167 00:10:14,840 --> 00:10:18,800 Speaker 2: scholar and activist Kimberly Crenshaw in nineteen eighty nine. It 168 00:10:18,840 --> 00:10:22,360 Speaker 2: refers to the interconnectedness of various forms of oppression, such 169 00:10:22,400 --> 00:10:26,880 Speaker 2: as racism, sexism, homophobia, ableism, and classism. These forms of 170 00:10:26,880 --> 00:10:30,320 Speaker 2: oppressions are not separate, but rather they intersect and affect 171 00:10:30,360 --> 00:10:34,360 Speaker 2: individuals in different ways depending on their identities and experiences. 172 00:10:34,800 --> 00:10:37,920 Speaker 2: Intersectional feminism is a type of feminism that recognizes the 173 00:10:37,960 --> 00:10:42,240 Speaker 2: diversity of women's experiences and identities. It acknowledges that women 174 00:10:42,320 --> 00:10:45,720 Speaker 2: are not homogeneous group and that their experiences of oppression 175 00:10:45,760 --> 00:10:50,439 Speaker 2: are shaped by their race, ethnicity, sexuality, ability, and other factors. 176 00:10:51,200 --> 00:10:54,000 Speaker 2: Intersexual feminism seeks to address the ways in which these 177 00:10:54,120 --> 00:10:58,160 Speaker 2: multiple forms of oppression interact and compound each other, creating 178 00:10:58,280 --> 00:11:02,920 Speaker 2: unique challenges for individuals at the intersections of multiple marginalized identities. 179 00:11:03,400 --> 00:11:07,280 Speaker 2: For example, a black woman may face both racism and 180 00:11:07,360 --> 00:11:10,440 Speaker 2: sexism in the workplace, which would lead to lower pay, 181 00:11:10,640 --> 00:11:15,040 Speaker 2: fewer opportunities for advancement, and increased likelihood of experiencing harassment 182 00:11:15,240 --> 00:11:19,360 Speaker 2: or discrimination. An LGBTQ plus person with a disability may 183 00:11:19,400 --> 00:11:23,000 Speaker 2: face discrimination in both the employment and healthcare, which could 184 00:11:23,000 --> 00:11:27,800 Speaker 2: limit their access to resources and opportunities. Intersectional feminism emphasizes 185 00:11:27,920 --> 00:11:31,240 Speaker 2: the importance of centering the experiences of marginalized communities in 186 00:11:31,240 --> 00:11:35,400 Speaker 2: feminist activism and advocacies. It recognizes that the struggles of 187 00:11:35,480 --> 00:11:39,160 Speaker 2: gender equality cannot be achieved without also addressing issues of 188 00:11:39,240 --> 00:11:43,840 Speaker 2: racial and social justice. Intersectional feminism challenges the notion that 189 00:11:43,920 --> 00:11:47,679 Speaker 2: equality can be achieved by focusing solely on the experiences 190 00:11:47,720 --> 00:11:52,240 Speaker 2: of white, middle class cys gender able bodied women. In conclusion, 191 00:11:52,920 --> 00:11:56,640 Speaker 2: intersectional feminism is an important framework for understanding and addressing 192 00:11:56,679 --> 00:11:59,440 Speaker 2: the ways in which different forms of oppression intersect and 193 00:11:59,520 --> 00:12:03,559 Speaker 2: effect individuals in a unique ways. It recognizes the diversity 194 00:12:03,559 --> 00:12:07,200 Speaker 2: of women's experiences and identities, and seeks to create a 195 00:12:07,240 --> 00:12:11,400 Speaker 2: more just and equitable society for all. Thank you for listening. 196 00:12:14,720 --> 00:12:16,280 Speaker 3: Very good, Thank you, thank you. 197 00:12:16,840 --> 00:12:19,840 Speaker 2: So Yeah, I like this one that gave examples. That 198 00:12:19,960 --> 00:12:20,520 Speaker 2: was interesting. 199 00:12:21,480 --> 00:12:25,199 Speaker 1: Yeah, you know what it feels like in a good way. 200 00:12:25,360 --> 00:12:27,240 Speaker 1: But it feels like when I was like in college 201 00:12:27,240 --> 00:12:29,920 Speaker 1: writing an essay, like you're right here, like here's your hook, 202 00:12:30,480 --> 00:12:32,040 Speaker 1: here's your definition. 203 00:12:31,720 --> 00:12:33,160 Speaker 3: And then there's your examples. 204 00:12:33,320 --> 00:12:36,200 Speaker 1: Yes, here's your conclusion, which is not too far off 205 00:12:36,360 --> 00:12:37,920 Speaker 1: from what we do in the podcast, to be honest, 206 00:12:37,920 --> 00:12:40,760 Speaker 1: But I feel like this felt much more like an essay. 207 00:12:41,040 --> 00:12:45,800 Speaker 5: Yes, yes, but I'm reading academic level of presentation, or 208 00:12:45,840 --> 00:12:48,320 Speaker 5: maybe like a middle schooler trying to talk about these 209 00:12:48,400 --> 00:12:52,120 Speaker 5: things and introducing it to their class, talk about it 210 00:12:52,160 --> 00:12:52,640 Speaker 5: in general. 211 00:12:53,160 --> 00:12:57,040 Speaker 2: But yees, so obviously this was a very generic take, yeah, 212 00:12:57,080 --> 00:12:59,800 Speaker 2: and very generic prompt. We just wanted to see what 213 00:12:59,840 --> 00:13:03,240 Speaker 2: it would look like had we you know, even using 214 00:13:03,280 --> 00:13:06,120 Speaker 2: these is it correct the information thus far? Of course, 215 00:13:06,280 --> 00:13:09,120 Speaker 2: both of these things have a lot of information and 216 00:13:09,160 --> 00:13:12,959 Speaker 2: it's very broad in its subjects, but it is correct 217 00:13:13,000 --> 00:13:17,120 Speaker 2: for what I could tell. The level of language in 218 00:13:17,160 --> 00:13:22,360 Speaker 2: this is actually pretty on point and inclusive, surprisingly for 219 00:13:22,480 --> 00:13:27,480 Speaker 2: an AI. There has been conversations before and I haven't 220 00:13:27,679 --> 00:13:31,000 Speaker 2: gone down this road. I don't think you have either 221 00:13:31,040 --> 00:13:34,480 Speaker 2: any I don't know if we ever will. Of trying 222 00:13:34,520 --> 00:13:39,280 Speaker 2: to find the holes where it does allow for specific 223 00:13:39,679 --> 00:13:43,640 Speaker 2: misogynistic or racist takes we have and sexist takes we 224 00:13:43,760 --> 00:13:47,640 Speaker 2: have heard that that can happen oftentimes, and these AI prompts. 225 00:13:47,800 --> 00:13:49,400 Speaker 2: We've talked about the fact that there is good and 226 00:13:49,440 --> 00:13:52,800 Speaker 2: bad and that it takes from the internet. Like I said, 227 00:13:52,840 --> 00:13:55,160 Speaker 2: I guess twenty twenty one, maybe they're expanding it at 228 00:13:55,160 --> 00:13:59,520 Speaker 2: this point, but that that it goes to that level. 229 00:14:00,840 --> 00:14:02,719 Speaker 2: I wonder what it would be like to actually try 230 00:14:02,760 --> 00:14:06,199 Speaker 2: to form a relationship with chat GPT, like have as 231 00:14:06,240 --> 00:14:10,320 Speaker 2: a friend. Andie's eyes got real big when. 232 00:14:10,240 --> 00:14:13,120 Speaker 3: I said, it's like something going on. 233 00:14:14,200 --> 00:14:17,200 Speaker 2: I'm just really lonely. No, I mean, like just what 234 00:14:17,240 --> 00:14:19,120 Speaker 2: it would look like to be like, hey, talk talk 235 00:14:19,160 --> 00:14:20,680 Speaker 2: to me about this. I'm sad. Can you tell me 236 00:14:20,720 --> 00:14:23,040 Speaker 2: about this? Or how can you ask me about my day? 237 00:14:23,120 --> 00:14:23,920 Speaker 2: All those things? 238 00:14:24,160 --> 00:14:27,720 Speaker 1: Right? Well, I used to joke and it's not very 239 00:14:27,720 --> 00:14:29,200 Speaker 1: funny joke at all. But I used to joke that 240 00:14:29,280 --> 00:14:33,400 Speaker 1: Google was like my therapist because I would literally Google like, Oh, 241 00:14:33,640 --> 00:14:36,960 Speaker 1: I'm sad, what do I do? Right, there's this miserable 242 00:14:36,960 --> 00:14:40,080 Speaker 1: situation in my family? What do I do? And I 243 00:14:40,120 --> 00:14:45,920 Speaker 1: think that is one of the things of our the 244 00:14:46,120 --> 00:14:49,120 Speaker 1: time we're living in now, where technology like this does exist, 245 00:14:49,480 --> 00:14:51,720 Speaker 1: it makes sense to me. Like, I know there's been 246 00:14:51,840 --> 00:14:55,520 Speaker 1: studies on like the relationship people will form with their phones, 247 00:14:57,080 --> 00:14:59,360 Speaker 1: and it sounds kind of ridiculous at face value, but 248 00:14:59,400 --> 00:15:01,120 Speaker 1: when you think about, I mean, how often do you 249 00:15:01,200 --> 00:15:01,800 Speaker 1: check your phone? 250 00:15:01,880 --> 00:15:03,760 Speaker 3: Like how often? Where is it it's near you? 251 00:15:03,800 --> 00:15:06,480 Speaker 1: Like you feel scared when it's not near you, or 252 00:15:06,520 --> 00:15:09,200 Speaker 1: you get nervous the batteries draining and you're nervous. So 253 00:15:09,320 --> 00:15:14,680 Speaker 1: to me, it makes absolute sense, especially if there's any 254 00:15:14,840 --> 00:15:19,160 Speaker 1: kind of like loneliness or even for younger people that 255 00:15:19,680 --> 00:15:25,640 Speaker 1: a relationship could form with technology at large. But AI, 256 00:15:25,880 --> 00:15:26,920 Speaker 1: in this case. 257 00:15:40,440 --> 00:15:44,320 Speaker 2: I prompted one thing and it's a surprise. Oh and 258 00:15:44,360 --> 00:15:47,080 Speaker 2: so I'm going to read it surprise. So my prompt 259 00:15:47,160 --> 00:15:51,440 Speaker 2: on this was tell me about Annie Reese from Stuff 260 00:15:51,440 --> 00:15:55,880 Speaker 2: Mom Never Told You podcast Here We Go. A Reese 261 00:15:55,920 --> 00:15:58,480 Speaker 2: is a former host and producer of the podcast Stuff 262 00:15:58,520 --> 00:16:00,040 Speaker 2: Mom Never Told You, which is a part of the 263 00:16:00,160 --> 00:16:04,080 Speaker 2: iHeartRadio and How Stuff Works networks. The podcast, which launched 264 00:16:04,080 --> 00:16:06,840 Speaker 2: in two thousand and nine, explores a wide range of 265 00:16:06,840 --> 00:16:11,040 Speaker 2: topics related to feminism, gender, sexuality, and more. Annie Reese 266 00:16:11,040 --> 00:16:13,320 Speaker 2: was an integral part of the podcast, co hosting and 267 00:16:13,320 --> 00:16:16,120 Speaker 2: producing it alongside her former co host of Samantha McVeigh. 268 00:16:16,600 --> 00:16:19,440 Speaker 2: She's been praised for engaging an insightful commentary on a 269 00:16:19,520 --> 00:16:22,840 Speaker 2: variety of topics, ranging from women's health to the intersection 270 00:16:22,880 --> 00:16:26,240 Speaker 2: of race and gender. Reese's background includes a degree in 271 00:16:26,280 --> 00:16:29,120 Speaker 2: women's studies from the University of Georgia, and she has 272 00:16:29,160 --> 00:16:32,520 Speaker 2: also worked as a writer and editor for various online publications. 273 00:16:32,840 --> 00:16:36,400 Speaker 2: Her expertise and passion for feminist issues has made her 274 00:16:36,400 --> 00:16:40,040 Speaker 2: a popular figure within the podcasting community, and she continues 275 00:16:40,080 --> 00:16:42,440 Speaker 2: to be a vocal advocate for her gender equality and 276 00:16:42,520 --> 00:16:46,120 Speaker 2: social justice. While she's no longer hosting Stuff Mom Never 277 00:16:46,160 --> 00:16:49,240 Speaker 2: Told You, her contributions to the show continue to be 278 00:16:49,280 --> 00:16:54,680 Speaker 2: remembered and appreciated by many fans. Annie, when did we quit? 279 00:16:55,920 --> 00:16:59,320 Speaker 3: I'm sure we were fired, and I'm sure we will 280 00:16:59,360 --> 00:16:59,920 Speaker 3: be missed. 281 00:17:01,920 --> 00:17:03,440 Speaker 2: And you went to the University of Georgia. 282 00:17:04,520 --> 00:17:11,680 Speaker 6: Yeah that's not true. No, no, no, no, very interesting though. 283 00:17:12,880 --> 00:17:15,560 Speaker 6: It makes you wonder where did that come from? 284 00:17:15,760 --> 00:17:17,119 Speaker 2: Where did this come from? 285 00:17:17,760 --> 00:17:18,840 Speaker 3: Yeah? No, I didn't do that. 286 00:17:20,200 --> 00:17:22,439 Speaker 2: Oh id okay going. 287 00:17:22,359 --> 00:17:25,960 Speaker 1: Oh okay, I'm just gonna I will say. I'll take 288 00:17:26,000 --> 00:17:29,320 Speaker 1: the compliments. Yeah, but I don't appreciate this. Feels like 289 00:17:29,359 --> 00:17:31,359 Speaker 1: I got fired and I just haven't heard Benny it. 290 00:17:31,720 --> 00:17:34,359 Speaker 2: They switched. I think they switched our stuff up because 291 00:17:34,400 --> 00:17:35,160 Speaker 2: I've got mine. 292 00:17:35,480 --> 00:17:36,880 Speaker 3: Okay, here mine. Yes. 293 00:17:37,440 --> 00:17:40,800 Speaker 2: Samantha McVeigh is a former co host of this podcast, 294 00:17:40,960 --> 00:17:43,120 Speaker 2: Stuff We've Never Told You, which is part of the 295 00:17:43,240 --> 00:17:47,399 Speaker 2: iHeartRadio and How Stuff Work networks. The podcast, which launched 296 00:17:47,400 --> 00:17:49,800 Speaker 2: in two thousand and nine, explores a wide range of 297 00:17:49,840 --> 00:17:54,000 Speaker 2: topics related to feminism, gender, sexuality, and more. McVeigh co 298 00:17:54,040 --> 00:17:57,160 Speaker 2: hosted and produced the podcast alongside her former co host 299 00:17:57,240 --> 00:18:00,760 Speaker 2: Annie Reese, and was known for her insight commentary and 300 00:18:00,840 --> 00:18:04,920 Speaker 2: engaging personality. She brought her own unique perspectives to the show, 301 00:18:05,359 --> 00:18:09,159 Speaker 2: often discussing her experiences as a queer woman of color Nope. 302 00:18:09,760 --> 00:18:13,120 Speaker 2: Before joining Stuff Mom Never Told You, mcphay worked as 303 00:18:13,119 --> 00:18:16,280 Speaker 2: a writer and editor for various online publications, and her 304 00:18:16,280 --> 00:18:19,000 Speaker 2: work has been featured an outlet such as Huffington Post 305 00:18:19,080 --> 00:18:21,960 Speaker 2: and The Advocate. Nope. She also holds a degree in 306 00:18:22,040 --> 00:18:26,000 Speaker 2: women's studies from the University of Georgia. No McVay left 307 00:18:26,000 --> 00:18:28,959 Speaker 2: Stuff Mom Never Told You in twenty seventeen to pursue 308 00:18:29,040 --> 00:18:32,119 Speaker 2: other opportunities, but her contributions to the show continue to 309 00:18:32,160 --> 00:18:35,560 Speaker 2: be remembered and appreciated by its many fans. She remains 310 00:18:35,560 --> 00:18:38,680 Speaker 2: a vocal advocate of social justice and equality, and her 311 00:18:38,680 --> 00:18:44,320 Speaker 2: insights and perspectives continue to influence conversations around feminist issues today. Wow, 312 00:18:44,600 --> 00:18:47,119 Speaker 2: who would say, mix me up with it? Is it 313 00:18:47,280 --> 00:18:48,160 Speaker 2: Justin nor Caroline? 314 00:18:48,480 --> 00:18:50,840 Speaker 1: I feel like they mixed you up with an amalgamation 315 00:18:51,800 --> 00:18:57,560 Speaker 1: of Kristen or Caroline, who in twenty seventeen. 316 00:18:57,160 --> 00:19:03,080 Speaker 3: Left yeah to do their thing with me. Yes, with 317 00:19:03,840 --> 00:19:05,400 Speaker 3: nonsense centered in nonsense. 318 00:19:05,560 --> 00:19:09,240 Speaker 2: Yes, because I don't think neither Kristin or Caroline have 319 00:19:09,520 --> 00:19:14,480 Speaker 2: a women's studies degree. I think both of them were journalism. 320 00:19:13,760 --> 00:19:14,360 Speaker 3: I believe. 321 00:19:14,480 --> 00:19:18,880 Speaker 2: So. Yeah, So that's so interesting. 322 00:19:19,480 --> 00:19:21,720 Speaker 1: It was interesting too because there were some lines that 323 00:19:21,760 --> 00:19:22,879 Speaker 1: were exactly the same. 324 00:19:23,359 --> 00:19:27,040 Speaker 2: Yes, the beginning, Yes, the beginning of it more more 325 00:19:27,119 --> 00:19:31,520 Speaker 2: co host So there you go. This is the reliability 326 00:19:32,000 --> 00:19:36,920 Speaker 2: of chatgebet, be very careful. Yes, we were already getting 327 00:19:36,960 --> 00:19:39,639 Speaker 2: mixed up just by different people in general, So I 328 00:19:39,680 --> 00:19:42,000 Speaker 2: don't use that that all the things that we said 329 00:19:42,040 --> 00:19:44,280 Speaker 2: was not true. 330 00:19:45,560 --> 00:19:48,000 Speaker 1: No, we already get yeah, we all the time. I 331 00:19:48,000 --> 00:19:51,240 Speaker 1: will get emails that are like hey Emily, We're like, no, that's. 332 00:19:51,080 --> 00:19:54,560 Speaker 2: Not us, thanks for us, but there you go. That 333 00:19:54,680 --> 00:19:57,080 Speaker 2: is chatgybet. And yeah, I think we're gonna have to 334 00:19:57,119 --> 00:20:00,480 Speaker 2: come back and have more conversations about the reliability as 335 00:20:00,480 --> 00:20:04,560 Speaker 2: well as problematic things that could occur with things with 336 00:20:04,640 --> 00:20:07,120 Speaker 2: the AI. Also the possibilities too. 337 00:20:07,600 --> 00:20:08,480 Speaker 3: Yeah. 338 00:20:08,760 --> 00:20:11,960 Speaker 1: Yeah, honestly, that was a more I don't want to 339 00:20:12,000 --> 00:20:14,040 Speaker 1: say positive because it's not even positive. It's just the 340 00:20:14,119 --> 00:20:18,720 Speaker 1: Internet is so connective. Yeah, the take on it was 341 00:20:18,760 --> 00:20:24,439 Speaker 1: going to be it could have definitely introductory broad scope. 342 00:20:24,440 --> 00:20:28,679 Speaker 1: But yeah, yeah, okay, there it is there it is. 343 00:20:28,760 --> 00:20:29,080 Speaker 3: Well. 344 00:20:30,119 --> 00:20:32,960 Speaker 1: Well, I'm we do have some more coming up about 345 00:20:33,000 --> 00:20:35,359 Speaker 1: it because I have had some experience lately that I 346 00:20:35,400 --> 00:20:39,000 Speaker 1: want to talk about. But in the meantime, listeners, if 347 00:20:39,000 --> 00:20:43,200 Speaker 1: you have experience, we would love to know. You can 348 00:20:43,240 --> 00:20:45,919 Speaker 1: email us a Stephania mom stuff at iHeartMedia dot com. 349 00:20:46,040 --> 00:20:48,600 Speaker 1: You can find us on Twitter at mom stuff podcast 350 00:20:49,040 --> 00:20:51,280 Speaker 1: or on Instagram at stuff one Never Told You, also 351 00:20:51,320 --> 00:20:54,920 Speaker 1: on TikTok at stuff one Never Told You, also on YouTube. 352 00:20:55,440 --> 00:20:57,240 Speaker 1: We do have a book coming out. You can buy 353 00:20:57,240 --> 00:20:59,040 Speaker 1: it at stuff you should read books dot com. You 354 00:20:59,040 --> 00:21:03,400 Speaker 1: can pre order it. I should say thanks as always too, 355 00:21:03,720 --> 00:21:08,400 Speaker 1: our super producer Christina, our executive producer Maya, and our contributor. 356 00:21:08,000 --> 00:21:11,680 Speaker 3: Joey y'all are the best. You are and. 357 00:21:11,800 --> 00:21:14,040 Speaker 1: Thanks to you for listening. You are also the best. 358 00:21:14,800 --> 00:21:17,680 Speaker 1: Stefan Never Told us a production of iHeartRadio. For more 359 00:21:17,680 --> 00:21:19,320 Speaker 1: podcasts from my Heart Radio, you can check out the 360 00:21:19,359 --> 00:21:21,439 Speaker 1: heart Radio app, Apple Podcasts, or where you listen to 361 00:21:21,440 --> 00:21:22,240 Speaker 1: your favorite shows