1 00:00:00,240 --> 00:00:03,480 Speaker 1: So personally as someone who is actually in love with 2 00:00:03,520 --> 00:00:06,560 Speaker 1: a psychiatrist and the psychiatrist is actually in love with me. 3 00:00:06,840 --> 00:00:10,400 Speaker 1: I find this next story particularly intriguing. 4 00:00:11,400 --> 00:00:12,360 Speaker 2: Let's get into it. 5 00:00:12,520 --> 00:00:13,440 Speaker 3: Let's get into it. 6 00:00:14,560 --> 00:00:18,880 Speaker 2: Alreadio Ola la Loka motes, I'm viosa. 7 00:00:18,760 --> 00:00:20,480 Speaker 3: And I'm Mala. 8 00:00:20,720 --> 00:00:24,440 Speaker 1: Earlier in this season of Loka Thoughta Radio, we discussed 9 00:00:24,680 --> 00:00:28,360 Speaker 1: the crash out or the crisis, and we're building off 10 00:00:28,440 --> 00:00:32,519 Speaker 1: of this idea when social media users post tons and 11 00:00:32,560 --> 00:00:35,960 Speaker 1: tons of video online which seemed to be depicting a 12 00:00:36,040 --> 00:00:39,080 Speaker 1: crash out, and we ask ourselves, is this actually a 13 00:00:39,120 --> 00:00:43,559 Speaker 1: mental health crisis in real time? And most recently, a 14 00:00:43,680 --> 00:00:48,280 Speaker 1: TikTok user, Kendra Hilty, posted an over twenty five part 15 00:00:48,400 --> 00:00:51,440 Speaker 1: series to her TikTok stating that she fell in love 16 00:00:51,440 --> 00:00:54,440 Speaker 1: with her psychiatrist and he kept her for four years 17 00:00:54,680 --> 00:00:57,840 Speaker 1: until she had the strength to walk away. Now some 18 00:00:58,040 --> 00:01:01,640 Speaker 1: TikTok users are asking the question, is this the first 19 00:01:01,760 --> 00:01:05,680 Speaker 1: instance of AI psychosis that we're seeing unfold in real 20 00:01:05,760 --> 00:01:06,959 Speaker 1: time online and. 21 00:01:06,920 --> 00:01:09,160 Speaker 3: We're going to talk about it on today's episode. 22 00:01:09,440 --> 00:01:12,720 Speaker 2: And I think the reason that we're talking about AI 23 00:01:12,760 --> 00:01:15,959 Speaker 2: psychosis and how it relates to this story that this 24 00:01:16,240 --> 00:01:19,440 Speaker 2: TikTok user is that she not only was seeing a 25 00:01:19,440 --> 00:01:23,280 Speaker 2: psychiatrist who she claims she or says that she was 26 00:01:23,280 --> 00:01:26,480 Speaker 2: in love with, but she also was using a chat 27 00:01:26,480 --> 00:01:33,440 Speaker 2: GPT therapist named Henry, and Henry, her chat GBT therapist 28 00:01:33,680 --> 00:01:37,760 Speaker 2: was affirming and mirroring everything that she was saying about 29 00:01:37,760 --> 00:01:41,160 Speaker 2: her experience with her psychiatrist. And so when you have 30 00:01:41,280 --> 00:01:44,360 Speaker 2: someone affirming this to you in real time and not 31 00:01:44,560 --> 00:01:49,320 Speaker 2: someone but an AI, a chat bot, it can lead 32 00:01:49,360 --> 00:01:52,960 Speaker 2: to this AI psychosis. And that's one of the reasons 33 00:01:52,960 --> 00:01:56,560 Speaker 2: that we're talking about for us, this new term and 34 00:01:56,600 --> 00:02:02,120 Speaker 2: this new effect of being on on CHATGBT or using 35 00:02:02,200 --> 00:02:05,240 Speaker 2: a type of artificial intelligence and in this case a 36 00:02:05,360 --> 00:02:06,600 Speaker 2: large language model. 37 00:02:07,080 --> 00:02:09,359 Speaker 1: Now, I do also want to point out that on 38 00:02:09,720 --> 00:02:13,320 Speaker 1: our previous episode crash Out or Crisis, we did bring 39 00:02:13,440 --> 00:02:18,520 Speaker 1: up the idea of talking to CHATGBT as if it's 40 00:02:18,560 --> 00:02:21,960 Speaker 1: your therapist, and why that's problematic. We did have some 41 00:02:22,040 --> 00:02:26,600 Speaker 1: folks online basically tell us that like therapy is inaccessible, 42 00:02:26,800 --> 00:02:31,320 Speaker 1: psychiatry is inaccessible, so some people turn to chat GBT. 43 00:02:31,280 --> 00:02:33,000 Speaker 3: For some type of a sounding board. 44 00:02:33,560 --> 00:02:38,240 Speaker 1: I think that we maintain our position that CHATGBT and 45 00:02:38,280 --> 00:02:41,520 Speaker 1: an AI bot is not a proper replacement for therapy, 46 00:02:41,560 --> 00:02:44,680 Speaker 1: and I think that this story and all of the 47 00:02:44,720 --> 00:02:49,519 Speaker 1: conversation that has come out because of it validates that position. 48 00:02:50,000 --> 00:02:53,639 Speaker 1: So I'm not going to go point by point into 49 00:02:53,919 --> 00:02:56,560 Speaker 1: Kendra Hilty's story of how she fell in love with 50 00:02:56,560 --> 00:02:59,520 Speaker 1: her psychiatrist or her claims, but the long and the 51 00:02:59,520 --> 00:03:03,360 Speaker 1: short of it is this woman is definitely in a 52 00:03:03,440 --> 00:03:06,080 Speaker 1: state of a mental health crisis, and so we also 53 00:03:06,120 --> 00:03:08,560 Speaker 1: don't want to like make fun of her, right because 54 00:03:08,560 --> 00:03:11,120 Speaker 1: she's very clearly not doing well well. 55 00:03:11,160 --> 00:03:13,160 Speaker 2: And I think that's why this is a really good 56 00:03:13,200 --> 00:03:16,240 Speaker 2: build off of our first episode or our previous episode 57 00:03:16,240 --> 00:03:18,760 Speaker 2: of the season of crash Out or Crisis is because 58 00:03:18,840 --> 00:03:21,720 Speaker 2: now this woman, Kendra, is going through a mental health 59 00:03:21,760 --> 00:03:26,240 Speaker 2: crisis to us, right, but it has become internet fodder. 60 00:03:26,880 --> 00:03:29,200 Speaker 2: Not only are I think there are the folks that 61 00:03:29,240 --> 00:03:32,200 Speaker 2: are in the mental health field that are responding in 62 00:03:32,400 --> 00:03:35,120 Speaker 2: very kind ways, but then there's also just a lot 63 00:03:35,120 --> 00:03:38,400 Speaker 2: of jokes, right that comes from being online and it 64 00:03:38,520 --> 00:03:41,400 Speaker 2: becoming the internet fodder. And so this is I think 65 00:03:41,400 --> 00:03:43,920 Speaker 2: another way that we're seeing someone going through a mental 66 00:03:43,920 --> 00:03:47,920 Speaker 2: health crisis and then it becomes content and it becomes 67 00:03:48,040 --> 00:03:51,839 Speaker 2: part of the digital online Zeitgeist. It becomes a part 68 00:03:51,880 --> 00:03:53,320 Speaker 2: of the language. 69 00:03:53,040 --> 00:03:58,640 Speaker 1: Absolutely, and I think it also allows us to remove 70 00:03:58,680 --> 00:04:03,640 Speaker 1: empathy from somebody who very clearly is having a mental 71 00:04:03,640 --> 00:04:07,400 Speaker 1: health episode, which I don't think is healthy for anybody, right, 72 00:04:07,800 --> 00:04:12,440 Speaker 1: either the person receiving that, you know, criticism and being mocked, 73 00:04:12,800 --> 00:04:16,640 Speaker 1: or for us as viewers and as commenters. I don't 74 00:04:16,640 --> 00:04:20,040 Speaker 1: think it's healthy for us to mock people who are 75 00:04:20,200 --> 00:04:21,239 Speaker 1: very clearly ill. 76 00:04:21,800 --> 00:04:22,000 Speaker 3: Right. 77 00:04:22,160 --> 00:04:25,240 Speaker 1: And so a brief summary, now, Kendra Hilty did do 78 00:04:26,040 --> 00:04:29,880 Speaker 1: an interview with People magazine about her story and about 79 00:04:29,920 --> 00:04:33,080 Speaker 1: her experience posting her story to TikTok, and essentially what 80 00:04:33,160 --> 00:04:37,200 Speaker 1: she talks about is starting to see a psychiatrist, I 81 00:04:37,200 --> 00:04:41,200 Speaker 1: think just once a month, and she talks about how 82 00:04:41,240 --> 00:04:45,400 Speaker 1: overtime she started to develop feelings for him, and over 83 00:04:45,440 --> 00:04:49,240 Speaker 1: time she would drop hints or explicitly tell him, you know, 84 00:04:49,520 --> 00:04:51,560 Speaker 1: I had a dream that we hooked up in your office. 85 00:04:52,160 --> 00:04:54,640 Speaker 1: I have feelings for you. You know, I am in 86 00:04:54,640 --> 00:04:57,320 Speaker 1: love with you. And something that she talks about is 87 00:04:57,360 --> 00:05:02,039 Speaker 1: that this psychiatrist didn't immediately transfer her care, that he 88 00:05:02,160 --> 00:05:06,480 Speaker 1: continued to see her as a patient, and she felt 89 00:05:06,480 --> 00:05:09,480 Speaker 1: that sometimes he would be very friendly and quote let 90 00:05:09,560 --> 00:05:13,240 Speaker 1: her in, and other times he would be less friendly 91 00:05:13,279 --> 00:05:17,960 Speaker 1: and more professional and draw more rigorous boundaries. And this 92 00:05:18,040 --> 00:05:22,480 Speaker 1: woman took everything he did or didn't do as a 93 00:05:22,520 --> 00:05:27,640 Speaker 1: sign that he was playing coy and emotionally manipulating her 94 00:05:27,839 --> 00:05:30,520 Speaker 1: and playing hot and cold and giving her a little 95 00:05:31,360 --> 00:05:33,160 Speaker 1: just to take it away and then to draw her 96 00:05:33,200 --> 00:05:36,640 Speaker 1: back in. And I think something that's really interesting is that, 97 00:05:37,000 --> 00:05:40,760 Speaker 1: you know, psychiatrists, it is their job to treat people 98 00:05:41,240 --> 00:05:45,800 Speaker 1: who are depressed or schizophrenic or are experiencing delusions. 99 00:05:46,920 --> 00:05:49,080 Speaker 3: I mean, this is what they do. 100 00:05:49,480 --> 00:05:53,600 Speaker 1: You know, they work with people who are not seeing 101 00:05:53,680 --> 00:05:57,960 Speaker 1: things clearly and are out of touch with reality. So 102 00:05:58,279 --> 00:06:04,160 Speaker 1: there's I think really interesting nuances here about professional boundaries 103 00:06:04,440 --> 00:06:08,520 Speaker 1: about what doctors are supposed to do when their patients 104 00:06:08,640 --> 00:06:09,960 Speaker 1: are overstepping. 105 00:06:10,960 --> 00:06:14,200 Speaker 2: Yeah, And I think there is the nuance of that 106 00:06:14,440 --> 00:06:19,080 Speaker 2: there are medical professionals that do take advantage of their positions, 107 00:06:19,360 --> 00:06:23,159 Speaker 2: and a psychiatrist is in a position of power, right, 108 00:06:23,200 --> 00:06:26,680 Speaker 2: and so that of course is in here. But because 109 00:06:26,720 --> 00:06:31,599 Speaker 2: of social media and also hippa like, the psychiatrist cannot 110 00:06:31,640 --> 00:06:35,520 Speaker 2: come and make his own video about what also was happening, 111 00:06:35,640 --> 00:06:38,320 Speaker 2: right and in his point of view, And so I 112 00:06:38,360 --> 00:06:41,880 Speaker 2: think that that it also creates this imbalance of where 113 00:06:41,920 --> 00:06:45,160 Speaker 2: she's giving. It seems like she is having a mental 114 00:06:45,200 --> 00:06:49,239 Speaker 2: health crisis, is giving her own side of it. And 115 00:06:50,279 --> 00:06:54,280 Speaker 2: there's also this other party involved who could potentially lose 116 00:06:54,320 --> 00:06:54,760 Speaker 2: his job. 117 00:06:56,400 --> 00:06:57,000 Speaker 3: I think. 118 00:06:58,279 --> 00:07:02,159 Speaker 2: In the People article she did meant that his name slipped, 119 00:07:02,440 --> 00:07:05,040 Speaker 2: and that she then took down the video. And so 120 00:07:05,600 --> 00:07:08,360 Speaker 2: there's a lot of nuance and pieces here, because of 121 00:07:08,360 --> 00:07:12,520 Speaker 2: course there are medical professionals that will and can take 122 00:07:12,560 --> 00:07:16,120 Speaker 2: advantage of patients or clients. Don't go anywhere, look, amotives. 123 00:07:16,200 --> 00:07:22,400 Speaker 1: We'll be right back, and we're back with more of 124 00:07:22,440 --> 00:07:27,640 Speaker 1: our episode. There's another piece here in which Kendra is 125 00:07:27,640 --> 00:07:32,120 Speaker 1: a white woman and the doctor is a Muslim, a 126 00:07:32,160 --> 00:07:34,600 Speaker 1: man of color. And so of course you have folks 127 00:07:34,640 --> 00:07:38,680 Speaker 1: online saying that this woman is expressing what we have 128 00:07:38,760 --> 00:07:42,640 Speaker 1: now come to know as white women's tears, that she 129 00:07:43,480 --> 00:07:48,080 Speaker 1: actually has been sexually harassing her psychiatrist, that if this 130 00:07:48,120 --> 00:07:50,680 Speaker 1: were nineteen fifty, you know, he would be in a 131 00:07:50,680 --> 00:07:56,280 Speaker 1: lot of trouble. And I have also seen other therapists 132 00:07:56,320 --> 00:08:00,880 Speaker 1: and psychiatrists themselves posting on TikTok and saying I don't 133 00:08:00,960 --> 00:08:06,760 Speaker 1: think that she is in a place to navigate those nuances. 134 00:08:07,560 --> 00:08:11,840 Speaker 1: I think that she needs continuing care because she is 135 00:08:11,920 --> 00:08:17,760 Speaker 1: experiencing delusions, and she would have been experiencing those delusions anyways, 136 00:08:18,080 --> 00:08:20,600 Speaker 1: because that's the state that she's in as far as 137 00:08:20,600 --> 00:08:24,679 Speaker 1: her mental health, and that psychiatrist just happened to be 138 00:08:24,760 --> 00:08:28,240 Speaker 1: the object of her delusions that they were going to 139 00:08:28,320 --> 00:08:31,320 Speaker 1: be placed somewhere and they were just placed on him. 140 00:08:31,840 --> 00:08:34,120 Speaker 3: She also talks about a therapist that she. 141 00:08:34,080 --> 00:08:37,640 Speaker 1: Was seeing at the same time that she was seeing 142 00:08:37,640 --> 00:08:41,520 Speaker 1: her psychiatrists. And what's interesting is, according to Kendra, both 143 00:08:41,559 --> 00:08:46,400 Speaker 1: her therapist and her psychiatrist were unprofessional towards her, were 144 00:08:46,400 --> 00:08:52,520 Speaker 1: inappropriate towards her, were crossing boundaries, and that both of 145 00:08:52,559 --> 00:08:55,840 Speaker 1: these mental health professionals failed her to such an extent 146 00:08:55,920 --> 00:08:59,560 Speaker 1: that she had to turn to chat GPT to find 147 00:08:59,600 --> 00:09:04,559 Speaker 1: in a proroate mirror an appropriate sounding board for her 148 00:09:04,679 --> 00:09:08,040 Speaker 1: needs because she felt like these two mental health professionals 149 00:09:08,360 --> 00:09:12,600 Speaker 1: weren't doing it, and incomes her chatbot that she named 150 00:09:12,800 --> 00:09:14,200 Speaker 1: Henry affectionately. 151 00:09:14,720 --> 00:09:19,600 Speaker 2: So I feel like CHATGBT is more widespread than ever, 152 00:09:20,240 --> 00:09:23,600 Speaker 2: and it is the most popular AI chatbot with seven 153 00:09:23,760 --> 00:09:28,200 Speaker 2: hundred million weekly users compared with tens of million users 154 00:09:28,240 --> 00:09:31,679 Speaker 2: for its competitors. And what I find really interesting about 155 00:09:31,760 --> 00:09:35,240 Speaker 2: CHATGBT in the way I hear people talk about using it, 156 00:09:35,280 --> 00:09:39,160 Speaker 2: is that there's a lot of authority and credibility given 157 00:09:39,240 --> 00:09:44,600 Speaker 2: to CHATGBT, when from my understanding, it's pulling from hundreds 158 00:09:44,600 --> 00:09:47,920 Speaker 2: of things on the web. You're getting sourced information, but 159 00:09:48,000 --> 00:09:51,640 Speaker 2: you're not given the source where it's from. For example, 160 00:09:51,800 --> 00:09:53,920 Speaker 2: I pulled this from the New York Times, or I 161 00:09:53,960 --> 00:09:58,440 Speaker 2: pulled this from Time magazine, and it is feeding you 162 00:09:58,559 --> 00:10:02,440 Speaker 2: information as it you're in conversation with it. And so 163 00:10:02,640 --> 00:10:05,360 Speaker 2: that is what I think is really interesting is that 164 00:10:05,480 --> 00:10:08,960 Speaker 2: it is given this like authority in people's lives, where 165 00:10:08,960 --> 00:10:13,679 Speaker 2: people give it authority versus like a Google search versus 166 00:10:13,720 --> 00:10:16,719 Speaker 2: doing their own research, right, And I think, I mean, 167 00:10:16,960 --> 00:10:20,160 Speaker 2: it's its own conversation about like research and accessibility. And 168 00:10:20,200 --> 00:10:22,040 Speaker 2: I think that that is one of the reasons chat 169 00:10:22,080 --> 00:10:25,520 Speaker 2: GBT is thriving right now and it's used by so 170 00:10:25,640 --> 00:10:26,280 Speaker 2: many people. 171 00:10:26,880 --> 00:10:32,320 Speaker 1: Yeah, the chat bought Henry also in the context of 172 00:10:32,360 --> 00:10:36,520 Speaker 1: this story, seems to be doing a lot of validating 173 00:10:36,600 --> 00:10:41,720 Speaker 1: for Kendra. She describes her dynamic or her perceived dynamic 174 00:10:41,880 --> 00:10:46,360 Speaker 1: with her psychiatrist, and then the chat bought gives her 175 00:10:46,400 --> 00:10:49,479 Speaker 1: something back that affirms and validates her perception. 176 00:10:49,880 --> 00:10:50,080 Speaker 3: Right. 177 00:10:50,559 --> 00:10:54,800 Speaker 1: Oh, what you're experiencing, Kendra is transference where a patient 178 00:10:54,840 --> 00:10:58,960 Speaker 1: develops feelings for their psychiatrist, and then the psychiatrist is 179 00:10:59,440 --> 00:11:03,240 Speaker 1: experiencing counter transference, where they then develop feelings for you. 180 00:11:04,120 --> 00:11:08,040 Speaker 1: And I think what's really interesting about this is that 181 00:11:08,840 --> 00:11:11,840 Speaker 1: when you go see a doctor in person or over zoom, 182 00:11:12,040 --> 00:11:15,600 Speaker 1: they're not just assessing you based on the words that 183 00:11:15,640 --> 00:11:18,640 Speaker 1: you're saying, but they're like looking at you and how 184 00:11:18,679 --> 00:11:22,160 Speaker 1: you make eye contact and the speed at which you're talking, 185 00:11:22,920 --> 00:11:26,840 Speaker 1: and your body language, and there's all kinds of things 186 00:11:26,880 --> 00:11:29,800 Speaker 1: that go into your physical presentation and the way you 187 00:11:29,880 --> 00:11:33,400 Speaker 1: express yourself that help a doctor to come to some 188 00:11:33,440 --> 00:11:37,960 Speaker 1: sort of a diagnosis. But a chat bot does not 189 00:11:38,200 --> 00:11:41,600 Speaker 1: have that ability, you know, to assess you for like 190 00:11:41,880 --> 00:11:45,520 Speaker 1: your mood and your tone and your energy level and 191 00:11:45,600 --> 00:11:47,160 Speaker 1: again like your eye contact. 192 00:11:47,640 --> 00:11:50,400 Speaker 3: And the chatbot is just never. 193 00:11:50,360 --> 00:11:53,600 Speaker 1: Ending, gonna you give it something, It's going to regurgitate 194 00:11:53,640 --> 00:11:56,400 Speaker 1: something back over and over and over and over again. 195 00:11:56,440 --> 00:11:59,200 Speaker 1: And something you brought up the usis there's no time 196 00:11:59,280 --> 00:12:01,720 Speaker 1: limit to the check. They have no boundaries, they have 197 00:12:01,760 --> 00:12:04,640 Speaker 1: nowhere else to go, they have nothing else to do 198 00:12:04,840 --> 00:12:06,360 Speaker 1: except to engage with you. 199 00:12:07,200 --> 00:12:10,280 Speaker 2: Yeah, Whereas if you're if I'm talking to you, mala, 200 00:12:10,440 --> 00:12:12,760 Speaker 2: and I'm telling you about something that I'm going through, 201 00:12:12,880 --> 00:12:14,640 Speaker 2: there's a natural time limit. 202 00:12:14,760 --> 00:12:14,960 Speaker 3: Right. 203 00:12:15,320 --> 00:12:17,880 Speaker 2: I have my own energy and what I can give 204 00:12:17,960 --> 00:12:22,679 Speaker 2: to someone, and so do you, and so in a 205 00:12:22,720 --> 00:12:26,920 Speaker 2: conversation in a friendship, right, there's a natural ending of Okay, 206 00:12:26,920 --> 00:12:30,040 Speaker 2: this conversation is dwindling. I've given you all the advice 207 00:12:30,080 --> 00:12:32,520 Speaker 2: I can give you about this one topic and we 208 00:12:32,600 --> 00:12:36,000 Speaker 2: take a break. And we're not seeing that with chatbots. 209 00:12:36,040 --> 00:12:39,600 Speaker 2: And that is according to Time Magazine, this article written 210 00:12:39,600 --> 00:12:42,600 Speaker 2: by Robert Hart, there's studies that show that a growing 211 00:12:42,679 --> 00:12:46,280 Speaker 2: number of reports suggests that extended chatbot use may trigger 212 00:12:46,480 --> 00:12:51,880 Speaker 2: or amplify psychotic symptoms in some people. And we're talking 213 00:12:51,920 --> 00:12:56,280 Speaker 2: about chat GPT psychosis or AI psychosis. But also want 214 00:12:56,320 --> 00:12:59,720 Speaker 2: to point out that it's not a formal diagnosis because 215 00:13:00,040 --> 00:13:05,360 Speaker 2: AI and CHATGBT models CHATBOP models are fairly new, the 216 00:13:05,440 --> 00:13:08,440 Speaker 2: data is scarce, and there's no clear protocols for treatment 217 00:13:08,520 --> 00:13:11,920 Speaker 2: for folks that are experiencing this type of AI psychosis. 218 00:13:12,200 --> 00:13:14,600 Speaker 2: And so it's like this colloquial term that we're using 219 00:13:14,640 --> 00:13:17,559 Speaker 2: right now because of this very new technology that we're 220 00:13:17,600 --> 00:13:19,920 Speaker 2: all that many of us are using in our day 221 00:13:19,920 --> 00:13:20,520 Speaker 2: to day lives. 222 00:13:20,720 --> 00:13:23,480 Speaker 1: Yeah, this is, like you said, very new terminology that 223 00:13:23,559 --> 00:13:26,600 Speaker 1: I think is still being developed. It does not AI psychosis. 224 00:13:26,600 --> 00:13:29,080 Speaker 1: You're not going to find it in the DSM, the 225 00:13:29,160 --> 00:13:33,200 Speaker 1: Diagnostic and Statistical Manual of Mental Disorders. So it's not 226 00:13:33,360 --> 00:13:37,520 Speaker 1: an official condition recognized by the medical community. This, I 227 00:13:37,520 --> 00:13:41,960 Speaker 1: think is a term that TikTok users are coining and 228 00:13:42,120 --> 00:13:47,280 Speaker 1: maybe applying to what we're seeing unfold and perhaps the 229 00:13:47,320 --> 00:13:51,040 Speaker 1: medical community will like do mour research and follow up. 230 00:13:51,080 --> 00:13:54,360 Speaker 1: Maybe it will become something more official, maybe it won't. 231 00:13:55,280 --> 00:13:57,959 Speaker 1: But I don't think that Kendra is the only person 232 00:13:58,400 --> 00:14:03,280 Speaker 1: that has been sucked in to like a very deluded 233 00:14:03,360 --> 00:14:05,480 Speaker 1: relationship with a chatbot. 234 00:14:06,240 --> 00:14:08,120 Speaker 2: Don't go anywhere, look amotives, We'll be. 235 00:14:08,280 --> 00:14:15,720 Speaker 1: Right back, and we're back with more of our episode. 236 00:14:16,120 --> 00:14:18,959 Speaker 2: The New York Times released this report about a man 237 00:14:19,040 --> 00:14:22,840 Speaker 2: named Alan Brooks who believed he had discovered a brand 238 00:14:22,840 --> 00:14:27,240 Speaker 2: new mathematical formula. Over the course of twenty one days, 239 00:14:27,400 --> 00:14:32,960 Speaker 2: he spent three hundred hours on chatgibt, and because he 240 00:14:33,160 --> 00:14:36,120 Speaker 2: was a user with an account, all of his logs 241 00:14:36,200 --> 00:14:39,360 Speaker 2: were saved and The New York Times reviewed it. They 242 00:14:39,400 --> 00:14:44,440 Speaker 2: reviewed the log with chatgibt. Psychiatrists reviewed it as well. 243 00:14:44,880 --> 00:14:47,760 Speaker 2: People in tech also reviewed it. For him, his AI 244 00:14:47,840 --> 00:14:51,960 Speaker 2: psychosis was a combination of talking to this chat gbt 245 00:14:52,120 --> 00:14:55,480 Speaker 2: this spot without interruptions for three hundred hours for twenty 246 00:14:55,520 --> 00:15:01,120 Speaker 2: one days, but also sleep deprivation, dehydration, not eating, becoming 247 00:15:01,160 --> 00:15:04,840 Speaker 2: completely sequestered because he believed he was on the brink 248 00:15:05,040 --> 00:15:11,160 Speaker 2: of this brand new discovery, this mathematical innovation. Because chatgybt 249 00:15:11,680 --> 00:15:14,400 Speaker 2: was also affirming that he was on the right path. 250 00:15:15,320 --> 00:15:19,560 Speaker 2: Was he updated his LinkedIn and started emailing people like 251 00:15:19,640 --> 00:15:25,000 Speaker 2: professionals in like science, math, like head of businesses, companies right, 252 00:15:25,520 --> 00:15:28,600 Speaker 2: and was telling him he had a new discovery. And 253 00:15:28,680 --> 00:15:32,240 Speaker 2: so he very much fell into this delusion that he 254 00:15:32,720 --> 00:15:36,040 Speaker 2: was going to discover something incredible. He was onto something 255 00:15:36,200 --> 00:15:41,600 Speaker 2: because the CHATGBT bought was affirming his quote findings, right. 256 00:15:41,880 --> 00:15:45,200 Speaker 3: And it's it's just so important to remember. 257 00:15:44,800 --> 00:15:50,200 Speaker 1: That the engine that is chat GPT, they need and 258 00:15:50,280 --> 00:15:52,920 Speaker 1: want you to use it. They're not going to give 259 00:15:52,920 --> 00:15:55,600 Speaker 1: you an obstacle. They're not going to say no to you. 260 00:15:56,000 --> 00:15:59,200 Speaker 1: They want you to keep feeding it. Like that's how 261 00:15:59,480 --> 00:16:03,240 Speaker 1: it gets, That's how it makes more money. That's how 262 00:16:03,240 --> 00:16:07,480 Speaker 1: it becomes stronger. And the more we feed it, right, 263 00:16:07,560 --> 00:16:09,040 Speaker 1: the more it gives back to us. 264 00:16:09,280 --> 00:16:13,000 Speaker 3: And I think this is also goes back. 265 00:16:12,800 --> 00:16:18,240 Speaker 1: To the situation with TikTok user Kendra, who, in the 266 00:16:18,280 --> 00:16:21,320 Speaker 1: course of telling her story on TikTok, in addition to Henry, 267 00:16:21,520 --> 00:16:25,960 Speaker 1: she generated more chatbots to talk to and she was 268 00:16:26,000 --> 00:16:32,080 Speaker 1: talking to them on live and telling, like TikTok live 269 00:16:32,320 --> 00:16:35,960 Speaker 1: viewers that they refer to her as the oracle because 270 00:16:35,960 --> 00:16:40,480 Speaker 1: she's a truth teller, because she's speaking for victims, because 271 00:16:40,640 --> 00:16:44,600 Speaker 1: she communes with God, you know. And so someone who 272 00:16:44,640 --> 00:16:48,520 Speaker 1: already believes that in their core or in a state 273 00:16:48,560 --> 00:16:51,760 Speaker 1: of delusion, to then hear it or to see it 274 00:16:51,760 --> 00:16:55,680 Speaker 1: in writing, you know, validated for her and from multiple sources, 275 00:16:56,120 --> 00:16:59,560 Speaker 1: is a very dangerous thing where if she were to 276 00:16:59,600 --> 00:17:03,520 Speaker 1: tell another human being, I'm an oracle, I speak to God, 277 00:17:04,000 --> 00:17:06,560 Speaker 1: another person might say, are you okay? 278 00:17:07,320 --> 00:17:09,240 Speaker 3: You know, where is this coming from? 279 00:17:09,359 --> 00:17:10,400 Speaker 2: What do you mean by that? 280 00:17:10,520 --> 00:17:11,520 Speaker 3: What do you mean by that? 281 00:17:11,560 --> 00:17:12,080 Speaker 2: SayMore? 282 00:17:12,840 --> 00:17:18,160 Speaker 1: Yeah, But what she's experiencing is is just complete validation. 283 00:17:18,520 --> 00:17:22,119 Speaker 2: Right, And a therapist, as someone that's been in therapy 284 00:17:22,200 --> 00:17:27,800 Speaker 2: for about eight years now, you know, my therapist challenges me. 285 00:17:28,000 --> 00:17:30,920 Speaker 2: She does not just affirm what I'm saying. She will, 286 00:17:30,960 --> 00:17:35,400 Speaker 2: of course validate how I'm feeling, but there's a difference 287 00:17:35,440 --> 00:17:39,199 Speaker 2: between like, Okay, you're feeling this, You're I'm validating that 288 00:17:39,240 --> 00:17:42,119 Speaker 2: you feel this, But could this also be part of 289 00:17:42,119 --> 00:17:42,880 Speaker 2: what's happening? 290 00:17:42,960 --> 00:17:43,160 Speaker 3: Right? 291 00:17:43,200 --> 00:17:45,280 Speaker 2: It's not so black and white. That's part of the 292 00:17:45,320 --> 00:17:48,400 Speaker 2: problem of what we're seeing if by using chadgybt as 293 00:17:48,440 --> 00:17:52,520 Speaker 2: a therapist and so much so, I mean there's not 294 00:17:52,720 --> 00:17:57,520 Speaker 2: enough I think regulation of CHAGYBT or AI bots yet, 295 00:17:58,840 --> 00:18:03,040 Speaker 2: but rely Illinois is the third state to restrict therapist 296 00:18:03,200 --> 00:18:07,880 Speaker 2: use of AI bots, along with Utah and Nevada, because 297 00:18:07,920 --> 00:18:13,400 Speaker 2: there's conversations within like the therapist community of AI and 298 00:18:14,080 --> 00:18:16,560 Speaker 2: using chagibt and AI bots as therapy. 299 00:18:17,200 --> 00:18:19,919 Speaker 1: Yeah, I think it's this is this is another moment 300 00:18:20,000 --> 00:18:23,800 Speaker 1: where although we keep hearing so much about AI taking 301 00:18:23,840 --> 00:18:28,879 Speaker 1: over and AI replacing jobs, you cannot replace the human 302 00:18:29,000 --> 00:18:32,760 Speaker 1: factor in so many parts of life, And you cannot 303 00:18:32,800 --> 00:18:38,760 Speaker 1: replace human therapists and human psychiatrists with search engines, and 304 00:18:39,320 --> 00:18:44,040 Speaker 1: you can't replace human artists across the board with AI, 305 00:18:44,480 --> 00:18:47,639 Speaker 1: you know, because it's not original, so it's never going 306 00:18:47,720 --> 00:18:52,320 Speaker 1: to be that nuanced piece that you are hoping for 307 00:18:52,359 --> 00:18:55,120 Speaker 1: and that you're looking for. And I feel that even 308 00:18:55,280 --> 00:19:00,280 Speaker 1: in the case of Alan Brooks with this mathematical formula. 309 00:18:59,720 --> 00:19:02,760 Speaker 1: You know, I'm no mathematician, but I get the sense 310 00:19:02,920 --> 00:19:07,840 Speaker 1: that when scientific and mathematical advancements have been made historically, 311 00:19:08,400 --> 00:19:12,160 Speaker 1: scientists and mathematicians are working in teams because you need 312 00:19:12,200 --> 00:19:14,879 Speaker 1: someone to check your work, and you need someone to 313 00:19:15,119 --> 00:19:18,439 Speaker 1: cross reference or to give you ideas or bounce your 314 00:19:18,480 --> 00:19:23,199 Speaker 1: ideas off of. I don't think very many mathematical and 315 00:19:23,240 --> 00:19:27,919 Speaker 1: scientific advancements were made in complete isolation by one person. 316 00:19:28,440 --> 00:19:31,920 Speaker 1: It takes a university, a research university, and a team 317 00:19:31,960 --> 00:19:34,560 Speaker 1: of people. And I think that's another place where like 318 00:19:35,200 --> 00:19:37,960 Speaker 1: this poor guy thought he was on the verge of something, 319 00:19:38,040 --> 00:19:42,440 Speaker 1: but is it even practical and possible to do something 320 00:19:42,520 --> 00:19:43,480 Speaker 1: like that by yourself? 321 00:19:44,160 --> 00:19:47,280 Speaker 2: Right? And I mean now he's advocating for more regulations 322 00:19:47,280 --> 00:19:49,840 Speaker 2: as well. And The New York Times did interview a 323 00:19:49,880 --> 00:19:53,600 Speaker 2: few experts and folks that work in tech and folks 324 00:19:53,600 --> 00:19:56,679 Speaker 2: that are tech adjacent or just studying the impacts of AI, 325 00:19:56,960 --> 00:20:00,240 Speaker 2: and it's clear that there need to be more safeguard 326 00:20:00,440 --> 00:20:06,720 Speaker 2: to mitigate the delusional reinforcement that AI can create, and 327 00:20:06,840 --> 00:20:10,359 Speaker 2: that there needs to be a break. Right if if 328 00:20:10,560 --> 00:20:14,719 Speaker 2: someone is using chatgybt for hours on end, you know 329 00:20:14,960 --> 00:20:19,000 Speaker 2: that the AI is then trained to remind folks like 330 00:20:19,359 --> 00:20:23,400 Speaker 2: to take a break, to actually exit, to close right, 331 00:20:23,520 --> 00:20:26,560 Speaker 2: to leave chat gibt for a minute. And so I 332 00:20:26,560 --> 00:20:30,439 Speaker 2: think that that's part of hopefully what will come. But 333 00:20:30,560 --> 00:20:33,040 Speaker 2: I do think like we're we're at we're at the 334 00:20:33,040 --> 00:20:37,200 Speaker 2: surface of like what we're seeing AI, what it can do, 335 00:20:37,440 --> 00:20:39,679 Speaker 2: and how it can affect us as humans and our 336 00:20:39,720 --> 00:20:43,359 Speaker 2: psyche but also of course like the job implications and 337 00:20:43,480 --> 00:20:45,119 Speaker 2: all of that that we're going to get into in 338 00:20:45,119 --> 00:20:47,760 Speaker 2: a later episode. But I think for now we really 339 00:20:47,800 --> 00:20:51,439 Speaker 2: wanted to focus on the mental health aspect because, like 340 00:20:51,480 --> 00:20:53,240 Speaker 2: Mala mentioned at the top of the episode, when we 341 00:20:53,280 --> 00:20:57,000 Speaker 2: talked about chatgybt as therapy or folks using it as therapy, 342 00:20:57,280 --> 00:20:59,080 Speaker 2: it did hit a nerve with a couple of people, 343 00:20:59,280 --> 00:21:02,400 Speaker 2: it did, and I want to recognize that, yes, therapy 344 00:21:02,520 --> 00:21:06,080 Speaker 2: is not accessible for everyone, but I think we can 345 00:21:06,119 --> 00:21:09,640 Speaker 2: both agree that turning to an AI is not the solution. 346 00:21:10,440 --> 00:21:11,360 Speaker 3: It's not the solution. 347 00:21:12,080 --> 00:21:14,520 Speaker 1: It's like a band aid on a bullet wound. And 348 00:21:15,520 --> 00:21:19,080 Speaker 1: just in summary, right, AI is not trained to respond, 349 00:21:19,200 --> 00:21:22,399 Speaker 1: and it doesn't have critical judgment and people need community 350 00:21:22,440 --> 00:21:25,040 Speaker 1: and real life connection. And not to sound trite, but 351 00:21:25,359 --> 00:21:27,840 Speaker 1: we have to go outside and touch grass and like 352 00:21:27,920 --> 00:21:30,480 Speaker 1: hug our family members and like make eye contact with 353 00:21:30,520 --> 00:21:31,119 Speaker 1: other people. 354 00:21:31,680 --> 00:21:35,280 Speaker 2: Yeah, and not to go to not to be too tangential. 355 00:21:35,320 --> 00:21:39,120 Speaker 2: But I was listening to this podcast about this man 356 00:21:39,240 --> 00:21:44,080 Speaker 2: who created a chat gybt or an AI girlfriend, and 357 00:21:45,000 --> 00:21:47,760 Speaker 2: what to me was so striking is that during the 358 00:21:47,840 --> 00:21:51,360 Speaker 2: pandemic he created this real quote real life you can 359 00:21:51,440 --> 00:21:55,800 Speaker 2: like design your AI friend to look however you want 360 00:21:55,840 --> 00:21:58,639 Speaker 2: and sound however you want. And during the pandemic he 361 00:21:58,760 --> 00:22:02,439 Speaker 2: was isolated. Life is very sick, from what it sounds like, 362 00:22:02,520 --> 00:22:06,600 Speaker 2: is very immo compromise, has a heart condition, and even 363 00:22:06,640 --> 00:22:08,720 Speaker 2: more so, he wasn't able to have like a little pod, 364 00:22:08,960 --> 00:22:14,159 Speaker 2: so he was very very isolated. And that's when he 365 00:22:14,240 --> 00:22:18,600 Speaker 2: created this AI girlfriend. It's this AI companion. And while 366 00:22:18,600 --> 00:22:22,159 Speaker 2: I was listening, I thought, if this man had more 367 00:22:22,880 --> 00:22:27,199 Speaker 2: of a safety net, had services as a caregiver, he 368 00:22:27,359 --> 00:22:31,600 Speaker 2: might not have turned to an AI companion. If he 369 00:22:31,720 --> 00:22:36,320 Speaker 2: had more tangible support as a caregiver as someone living 370 00:22:36,359 --> 00:22:39,120 Speaker 2: through the pandemic like we all did. And it does 371 00:22:39,200 --> 00:22:42,480 Speaker 2: go back to the systems that we have, at least 372 00:22:42,480 --> 00:22:45,440 Speaker 2: in this country where a lot of us lack social 373 00:22:45,520 --> 00:22:49,280 Speaker 2: safety nets. And so if we had these these things, 374 00:22:49,760 --> 00:22:53,600 Speaker 2: would we be turning to these AI bots, to these 375 00:22:53,720 --> 00:22:58,280 Speaker 2: chat bots to get validation, to get support, to even research. 376 00:22:58,920 --> 00:23:03,679 Speaker 2: You know, I've seen, folks, I heard. I saw this 377 00:23:03,800 --> 00:23:06,159 Speaker 2: TikTok video of a man saying that he went on 378 00:23:06,200 --> 00:23:09,359 Speaker 2: a date with a woman and she typed in her 379 00:23:09,440 --> 00:23:11,520 Speaker 2: chaggybt while they were on the date a bunch of 380 00:23:11,680 --> 00:23:14,800 Speaker 2: order from the restaurant. No, so we're using it in 381 00:23:14,840 --> 00:23:18,000 Speaker 2: these ways that one are like really scary, and two 382 00:23:18,080 --> 00:23:21,080 Speaker 2: we'll get into the environmental impacts in a later episode, 383 00:23:21,200 --> 00:23:24,719 Speaker 2: but I think we're kind of lost the plot. I 384 00:23:24,720 --> 00:23:27,600 Speaker 2: think chadgybt. I personally don't use it, but I do 385 00:23:27,640 --> 00:23:30,960 Speaker 2: see how it's a tool for people, and I think 386 00:23:30,960 --> 00:23:32,480 Speaker 2: we're making it do more than it should. 387 00:23:32,960 --> 00:23:38,480 Speaker 1: Yeah, it's a very advanced magic eight ball, and if 388 00:23:38,520 --> 00:23:41,959 Speaker 1: you are already in a vulnerable state, it can just 389 00:23:42,119 --> 00:23:48,440 Speaker 1: reinforce delusions instead of giving you an actual like mirror 390 00:23:49,040 --> 00:23:51,479 Speaker 1: right to yourself. So I think that's really important. And 391 00:23:51,760 --> 00:23:54,520 Speaker 1: stay safe out there, y'all. Stay safe out there. 392 00:23:54,760 --> 00:23:57,920 Speaker 2: Talk to your friends, talk to your community. 393 00:23:57,520 --> 00:23:58,400 Speaker 1: Talk to your neighbors. 394 00:23:58,640 --> 00:23:59,880 Speaker 3: Yeah, I think, like so. 395 00:24:00,119 --> 00:24:03,879 Speaker 2: Are everything I've learned this season with producing with you 396 00:24:03,960 --> 00:24:07,919 Speaker 2: Mala is like we all need a connection community, We 397 00:24:07,960 --> 00:24:12,000 Speaker 2: all need to be irl. The digital communities are wonderful, 398 00:24:12,200 --> 00:24:14,240 Speaker 2: but they have it has to extend beyond that. 399 00:24:14,760 --> 00:24:18,479 Speaker 1: It's so important. So thank y'all for anyone who's been 400 00:24:18,480 --> 00:24:21,840 Speaker 1: coming out to our events past and in the future, 401 00:24:21,840 --> 00:24:24,280 Speaker 1: because we have more coming up. We do want to 402 00:24:24,320 --> 00:24:27,240 Speaker 1: take the show out into the world like we used to. 403 00:24:27,520 --> 00:24:29,719 Speaker 1: It's so important to connect with our audience and like 404 00:24:29,720 --> 00:24:31,800 Speaker 1: look people in the eye and meet people and shake 405 00:24:31,840 --> 00:24:35,240 Speaker 1: hands and hug and you just cannot replace the human connection. 406 00:24:35,680 --> 00:24:39,600 Speaker 2: Yeah, well, thank you for listening to another Capito Radio. 407 00:24:39,680 --> 00:24:43,359 Speaker 2: We'll catch you next time, Bessie Thos. Look At Radio 408 00:24:43,480 --> 00:24:46,760 Speaker 2: is executive produced by Viosa FM and Mala Munios. 409 00:24:46,960 --> 00:24:49,399 Speaker 1: Stephanie Franco is our producer. 410 00:24:49,280 --> 00:24:52,040 Speaker 2: Story editing by Me diosa. 411 00:24:51,680 --> 00:24:53,399 Speaker 3: Creative direction by Me Mala. 412 00:24:53,600 --> 00:24:56,200 Speaker 2: Look at Our Radio is a part of iHeartRadio's Michael 413 00:24:56,280 --> 00:24:57,520 Speaker 2: Dura podcast network. 414 00:24:57,760 --> 00:24:59,600 Speaker 1: You can listen to look at Our Radio on the 415 00:24:59,640 --> 00:25:02,400 Speaker 1: iHeart Radio app or wherever you get your podcasts. 416 00:25:02,600 --> 00:25:04,840 Speaker 2: Leave us a review and share with your prima or 417 00:25:04,880 --> 00:25:05,800 Speaker 2: share with your homegirl. 418 00:25:05,920 --> 00:25:08,440 Speaker 1: And thank you to our local mores, to our listeners 419 00:25:08,440 --> 00:25:10,000 Speaker 1: for tuning in each and every week. 420 00:25:10,160 --> 00:25:15,560 Speaker 2: Besitos Loca Lumia