1 00:00:04,360 --> 00:00:07,000 Speaker 1: I've seen some crazy things covering tech for the last 2 00:00:07,080 --> 00:00:11,600 Speaker 1: fifteen years. People in love with robots, Internet conspiracy, rabbit holes, 3 00:00:11,960 --> 00:00:13,560 Speaker 1: whole industries. 4 00:00:13,080 --> 00:00:14,080 Speaker 2: Upended by innovation. 5 00:00:14,960 --> 00:00:17,520 Speaker 1: Cut to today, we are living through one of the 6 00:00:17,560 --> 00:00:22,759 Speaker 1: most extraordinary tech accelerations in human history. Artificial intelligence is 7 00:00:22,800 --> 00:00:26,840 Speaker 1: transforming society. There isn't an industry or a human that 8 00:00:26,920 --> 00:00:30,480 Speaker 1: won't be impacted. But as a longtime tech reporter and 9 00:00:30,520 --> 00:00:33,519 Speaker 1: a mom, nothing feels more personal to me than what 10 00:00:33,600 --> 00:00:36,600 Speaker 1: AI means for our children. When it comes to tech, 11 00:00:36,840 --> 00:00:41,320 Speaker 1: our kids become the ultimate beta testers, and as someone 12 00:00:41,360 --> 00:00:44,600 Speaker 1: who's spent my career looking around the corners, I can't 13 00:00:44,600 --> 00:00:48,640 Speaker 1: stop thinking about deep fakes, AI companions, the future of education, 14 00:00:49,320 --> 00:00:52,559 Speaker 1: and how this will fundamentally transform what it means for 15 00:00:52,600 --> 00:00:56,640 Speaker 1: our little ones to grow and thrive in today's world. Now, 16 00:00:56,760 --> 00:00:59,840 Speaker 1: don't get me wrong, I love the possibility of AI. 17 00:01:00,160 --> 00:01:02,600 Speaker 1: I use it all the time. It just feels more 18 00:01:02,680 --> 00:01:04,240 Speaker 1: high states and small hands. 19 00:01:04,720 --> 00:01:07,360 Speaker 3: If we don't understand what feels good about something, we're 20 00:01:07,400 --> 00:01:09,560 Speaker 3: going to always miss out with our kids about the 21 00:01:09,600 --> 00:01:11,360 Speaker 3: things that draw them to that thing. 22 00:01:11,959 --> 00:01:14,440 Speaker 1: Which is why I wanted to launch a tech show 23 00:01:14,600 --> 00:01:17,520 Speaker 1: with the ultimate human expert, Doctor Becky. 24 00:01:17,800 --> 00:01:19,640 Speaker 3: And if we don't understand what's going to draw them 25 00:01:19,640 --> 00:01:24,200 Speaker 3: to AI emotionally, and a lot will, then they're going 26 00:01:24,280 --> 00:01:26,160 Speaker 3: to have to keep that entire part of their life 27 00:01:26,440 --> 00:01:29,399 Speaker 3: separate from us, and we won't hear about it. 28 00:01:29,800 --> 00:01:32,000 Speaker 1: Now, if you're a parent, you know exactly who I'm 29 00:01:32,000 --> 00:01:35,200 Speaker 1: talking about. If not, Doctor Becky is called the millennial 30 00:01:35,280 --> 00:01:38,640 Speaker 1: parent Whisper. She's a clinical psychologist and the founder of 31 00:01:38,720 --> 00:01:42,000 Speaker 1: Good Inside, a website, community and an app that guides 32 00:01:42,120 --> 00:01:45,880 Speaker 1: parents through all the tricky phases. So I wanted doctor 33 00:01:45,880 --> 00:01:48,600 Speaker 1: Becky to help sort through some of the human questions 34 00:01:48,600 --> 00:01:51,640 Speaker 1: that AI is raising. She's here to give us all 35 00:01:51,680 --> 00:01:54,440 Speaker 1: a sense of agency, whether you're a parent or not. 36 00:01:55,080 --> 00:01:57,520 Speaker 1: She wants to help us face the anxiety around AI 37 00:01:57,640 --> 00:02:00,520 Speaker 1: and also embrace the positive potential of it place in 38 00:02:00,560 --> 00:02:05,160 Speaker 1: our lives. I'm Laurie Siegel, and you're listening to Mostly Humans, 39 00:02:05,160 --> 00:02:12,120 Speaker 1: a tech podcast through a human lens. 40 00:02:09,560 --> 00:02:10,280 Speaker 2: Doctor Becky. 41 00:02:10,440 --> 00:02:12,280 Speaker 1: I am so excited to be here with you, and 42 00:02:12,360 --> 00:02:15,160 Speaker 1: I have to just like confess, and I said this 43 00:02:15,200 --> 00:02:16,960 Speaker 1: to you before, but like I have to confess. I 44 00:02:17,000 --> 00:02:20,280 Speaker 1: was leaving the house. My child has had a stomach bug. 45 00:02:20,440 --> 00:02:23,000 Speaker 1: He was just at the doctor yesterday for a finger 46 00:02:23,040 --> 00:02:26,240 Speaker 1: infection and he just got his first sunburn. And I 47 00:02:26,280 --> 00:02:28,360 Speaker 1: was leaving the house and my husband was like, should 48 00:02:28,400 --> 00:02:31,080 Speaker 1: we call social services on herself? Like are we doing okay? 49 00:02:31,080 --> 00:02:32,800 Speaker 1: And I was like, do not say this. I am 50 00:02:32,840 --> 00:02:36,360 Speaker 1: going to interview doctor Becky. That's a bad omen. And 51 00:02:36,440 --> 00:02:38,280 Speaker 1: so yeah, that's here we are. 52 00:02:38,480 --> 00:02:41,760 Speaker 3: But I'll say what I said to you about those moments. 53 00:02:41,800 --> 00:02:43,200 Speaker 2: It sounds so much better coming from you. 54 00:02:43,200 --> 00:02:45,840 Speaker 3: You say it that I would say to your husband. No, 55 00:02:45,880 --> 00:02:49,160 Speaker 3: we are building resilience. That resilience is built in hard 56 00:02:49,200 --> 00:02:54,239 Speaker 3: moments with support, not rescuing. But oh that sunburn hurts. 57 00:02:54,320 --> 00:02:57,200 Speaker 3: Oh your belly hurts, Like you need the hard moment 58 00:02:57,400 --> 00:02:59,720 Speaker 3: and you need the support. That doesn't mean we should 59 00:02:59,720 --> 00:03:01,960 Speaker 3: give hard moments. That's not what I'm saying. But the 60 00:03:01,960 --> 00:03:07,519 Speaker 3: hard moments naturally arise because we're imperfect people raising imperfect people, 61 00:03:07,960 --> 00:03:10,160 Speaker 3: and the hard moments arise, and we actually don't want 62 00:03:10,160 --> 00:03:11,680 Speaker 3: to take them away. We just want to let our 63 00:03:11,720 --> 00:03:13,680 Speaker 3: kids know they can get through that. And so sounds 64 00:03:13,720 --> 00:03:14,440 Speaker 3: like that's what you're doing. 65 00:03:14,480 --> 00:03:16,640 Speaker 2: I love that, John, Did you did you hear John? 66 00:03:16,680 --> 00:03:17,160 Speaker 3: That was for you? 67 00:03:17,320 --> 00:03:17,519 Speaker 4: Yep? 68 00:03:17,720 --> 00:03:18,120 Speaker 2: Love that. 69 00:03:18,200 --> 00:03:20,880 Speaker 1: Okay, Now that that's out of the way. My background 70 00:03:20,960 --> 00:03:23,799 Speaker 1: is covering technology. I've covered it for almost fifteen years, 71 00:03:23,800 --> 00:03:25,960 Speaker 1: which in tech years, just makes me feel very ancient. 72 00:03:26,919 --> 00:03:30,640 Speaker 1: But the human impact of tech and your background is 73 00:03:30,760 --> 00:03:34,760 Speaker 1: just you are this force in the parenting community. And 74 00:03:34,800 --> 00:03:38,080 Speaker 1: what's so interesting is five years ago you didn't even 75 00:03:38,080 --> 00:03:42,760 Speaker 1: have an Instagram account, like you were practicing psychologists here 76 00:03:42,800 --> 00:03:45,640 Speaker 1: in New York City helping council families behind closed doors. 77 00:03:46,400 --> 00:03:47,920 Speaker 2: Technology has some. 78 00:03:47,880 --> 00:03:51,240 Speaker 1: Degree just like opened you up to the world and 79 00:03:51,320 --> 00:03:53,520 Speaker 1: gifted us all so many of these insights that I 80 00:03:53,520 --> 00:03:56,760 Speaker 1: think make so many parents feel less alone. I'm curious, like, 81 00:03:56,800 --> 00:03:59,360 Speaker 1: how do you feel at this point about becoming an 82 00:03:59,360 --> 00:04:03,760 Speaker 1: online figure, especially representing something that's just so incredibly powerful. 83 00:04:04,040 --> 00:04:06,120 Speaker 3: Yeah, I mean I've never been asked that question. How 84 00:04:06,200 --> 00:04:08,400 Speaker 3: do I feel about that part? I mean, I guess 85 00:04:08,400 --> 00:04:11,040 Speaker 3: in some ways I feel conflicted. I mean, what I 86 00:04:11,040 --> 00:04:13,440 Speaker 3: don't feel at all conflicted about and what I feel 87 00:04:13,480 --> 00:04:17,159 Speaker 3: so grateful for is I feel like I get to 88 00:04:17,160 --> 00:04:22,320 Speaker 3: wake up every day and think about topics and come 89 00:04:22,400 --> 00:04:26,640 Speaker 3: up with new ideas and hear people's stories and connect 90 00:04:26,640 --> 00:04:30,000 Speaker 3: with families in ways that just light me up inside. 91 00:04:30,040 --> 00:04:31,640 Speaker 3: Like to actually say, you spend a lot of your 92 00:04:31,640 --> 00:04:33,880 Speaker 3: waking hours doing the things that light you up. I'm 93 00:04:34,040 --> 00:04:37,719 Speaker 3: only grateful for that part. The part that I guess 94 00:04:37,720 --> 00:04:41,720 Speaker 3: I feel a little more conflicted about is, yeah, like, 95 00:04:41,760 --> 00:04:43,920 Speaker 3: the thing that keeps us all human, and the thing 96 00:04:43,960 --> 00:04:47,359 Speaker 3: that really matters for our mental health, for our groundedness, 97 00:04:48,120 --> 00:04:49,600 Speaker 3: you know, up until this point at least for the 98 00:04:49,640 --> 00:04:52,039 Speaker 3: evolution of our species is the way we connect with 99 00:04:52,080 --> 00:04:56,080 Speaker 3: one another. Human connection is the essence of attachment. Attachment 100 00:04:56,160 --> 00:04:59,400 Speaker 3: is such an evolutionary force. We kind of need other people, 101 00:04:59,560 --> 00:05:01,719 Speaker 3: need to be on stood by other people, and we 102 00:05:01,760 --> 00:05:04,560 Speaker 3: also need friction with other people. It's through those moments 103 00:05:04,560 --> 00:05:06,960 Speaker 3: of friction and relationships. Oh you didn't get me. I 104 00:05:07,000 --> 00:05:09,440 Speaker 3: wanted to tell you a story and you're not really listening, 105 00:05:09,480 --> 00:05:10,880 Speaker 3: and I want to tell you about my day, and 106 00:05:10,920 --> 00:05:13,080 Speaker 3: you want to tell me about your day, and how 107 00:05:13,120 --> 00:05:15,600 Speaker 3: are we going to manage that? And you try to 108 00:05:15,680 --> 00:05:18,000 Speaker 3: fix the situation when I just wanted you to listen, Like, 109 00:05:18,040 --> 00:05:21,719 Speaker 3: it's actually all those moments of friction, yeah, that give 110 00:05:21,800 --> 00:05:26,640 Speaker 3: us identity and purpose and resilience. And So when I 111 00:05:26,680 --> 00:05:30,120 Speaker 3: think about my online persona, the only part of it 112 00:05:30,160 --> 00:05:33,200 Speaker 3: I guess I feel conflicted about is wanting to continue 113 00:05:33,240 --> 00:05:37,440 Speaker 3: to show up in a way that's never too polished, 114 00:05:37,960 --> 00:05:40,279 Speaker 3: that never has me pretending to be someone I'm not. 115 00:05:40,400 --> 00:05:41,800 Speaker 3: So why I try to say all the time, like 116 00:05:41,839 --> 00:05:44,000 Speaker 3: all this doctor Becky's stuff, I don't do myself, and 117 00:05:44,040 --> 00:05:46,840 Speaker 3: I really don't, and I feel guilty about that, Like 118 00:05:46,920 --> 00:05:49,920 Speaker 3: I'm a parent. I'm trying to do my best every 119 00:05:50,000 --> 00:05:52,960 Speaker 3: day and I'm messing up every other moment too. And 120 00:05:53,360 --> 00:05:55,599 Speaker 3: so I think there's something that happens when people go 121 00:05:55,640 --> 00:05:59,120 Speaker 3: online that there's this veneer, there's this pedestal, and that 122 00:05:59,160 --> 00:06:01,840 Speaker 3: actually takes away from the humanness, and so that part 123 00:06:01,880 --> 00:06:05,400 Speaker 3: I just try to, you know, really steer clear from. 124 00:06:04,960 --> 00:06:08,039 Speaker 1: I think it's so interesting what you say about this 125 00:06:08,120 --> 00:06:11,200 Speaker 1: idea of friction, and I want to get into that 126 00:06:11,279 --> 00:06:13,920 Speaker 1: actually through the lens of artificial intelligence. I spend like 127 00:06:14,080 --> 00:06:17,320 Speaker 1: so much time kind of in the AI space and 128 00:06:17,400 --> 00:06:20,320 Speaker 1: weird Reddit threads and talking you know, in the in 129 00:06:20,480 --> 00:06:25,000 Speaker 1: corners of the Internet. But before I get into I'd 130 00:06:25,040 --> 00:06:27,039 Speaker 1: love to talk just a little bit about the community 131 00:06:27,080 --> 00:06:31,160 Speaker 1: that you've built good inside, because it's not just doctor Becky. 132 00:06:31,320 --> 00:06:34,880 Speaker 1: It's like it's doctor Becky and community of parents who 133 00:06:35,320 --> 00:06:38,600 Speaker 1: through this platform are sharing what's top of mind. Sharing 134 00:06:38,720 --> 00:06:41,840 Speaker 1: fears and worries. When we look at this through the 135 00:06:41,880 --> 00:06:45,320 Speaker 1: lens of technology, you almost kind of have this like 136 00:06:45,400 --> 00:06:47,320 Speaker 1: magic wand where you kind of know what's top of 137 00:06:47,360 --> 00:06:49,600 Speaker 1: mind for your community. So what do you see most 138 00:06:49,640 --> 00:06:52,200 Speaker 1: from parents and children when it comes to their concerns 139 00:06:52,200 --> 00:06:53,000 Speaker 1: about technology? 140 00:06:53,000 --> 00:06:53,679 Speaker 2: What are they saying? 141 00:06:54,080 --> 00:06:57,080 Speaker 3: Oh, yeah, a couple of things when it comes to technology. 142 00:06:57,360 --> 00:07:01,360 Speaker 3: I think number one, we're hesitant to see or it's 143 00:07:01,400 --> 00:07:04,440 Speaker 3: just hard to see how kind of large of a 144 00:07:04,520 --> 00:07:07,960 Speaker 3: role technology plays in our family's life and in our 145 00:07:08,000 --> 00:07:10,920 Speaker 3: family struggle. So on the surface, let's say, oh, my 146 00:07:11,000 --> 00:07:13,320 Speaker 3: kid never listens, MIKEI never listens. We're always late, and 147 00:07:13,320 --> 00:07:14,840 Speaker 3: they don't listen to take a shower, and they don't 148 00:07:14,840 --> 00:07:18,720 Speaker 3: listen for homework. And it's so easy to just stay 149 00:07:18,800 --> 00:07:20,680 Speaker 3: at that level of Okay, well why are they listening? 150 00:07:20,680 --> 00:07:22,840 Speaker 3: Why aren't they listening? But what you might be missing 151 00:07:22,840 --> 00:07:25,640 Speaker 3: is something at the system level. That's always the level 152 00:07:25,680 --> 00:07:27,400 Speaker 3: I think, not just about a tip up here, it's 153 00:07:27,400 --> 00:07:30,240 Speaker 3: actually about a system and kind of resetting the emotional 154 00:07:30,280 --> 00:07:34,280 Speaker 3: infrastructure down here. Oh, give an example of screens. And 155 00:07:34,320 --> 00:07:36,880 Speaker 3: again this is not about blame, it's just about understanding 156 00:07:37,240 --> 00:07:40,320 Speaker 3: the system. Well, if this kid. When this kid, this 157 00:07:40,560 --> 00:07:42,400 Speaker 3: nine year old gets home from school is on their 158 00:07:42,400 --> 00:07:44,800 Speaker 3: iPad all the time. Okay, and again there's probably good 159 00:07:44,840 --> 00:07:47,720 Speaker 3: reasons for that, even technology there, Well, my kid is 160 00:07:47,720 --> 00:07:50,960 Speaker 3: getting used to coming home and having a ton of 161 00:07:51,000 --> 00:07:54,160 Speaker 3: dopamine with not a lot of effort. So kind of 162 00:07:54,240 --> 00:07:57,440 Speaker 3: effortless dopamine is how I think about it. I just 163 00:07:57,440 --> 00:07:59,760 Speaker 3: can sit here. The excitement comes to me, the winds 164 00:07:59,800 --> 00:08:02,040 Speaker 3: come to me. By the time you're asking that kid 165 00:08:02,080 --> 00:08:04,520 Speaker 3: to do homework. Are you joking me? That's like me 166 00:08:04,600 --> 00:08:07,280 Speaker 3: having I don't know thirty ice cream Sundays and my 167 00:08:07,360 --> 00:08:09,600 Speaker 3: husband asking me to have dinner. Like I'm not doing 168 00:08:09,640 --> 00:08:11,680 Speaker 3: dinner now, I do know what I've just done. And 169 00:08:11,720 --> 00:08:13,440 Speaker 3: so I think one of the first things we see 170 00:08:13,440 --> 00:08:17,080 Speaker 3: in the community is actually this tendency to just look 171 00:08:17,080 --> 00:08:19,080 Speaker 3: at the struggles we're having with our kids and not 172 00:08:19,160 --> 00:08:22,200 Speaker 3: think about the structure that's actually underneath, and how big 173 00:08:22,200 --> 00:08:25,600 Speaker 3: of a role tech is playing in a structure that's 174 00:08:25,640 --> 00:08:28,120 Speaker 3: not really setting our kid up for success. And then 175 00:08:28,120 --> 00:08:29,600 Speaker 3: I think the other thing that comes up all the 176 00:08:29,640 --> 00:08:32,960 Speaker 3: time is just how unwinnable this feels to parents. It's 177 00:08:33,000 --> 00:08:37,000 Speaker 3: so unfair that kids have access to so much so 178 00:08:37,120 --> 00:08:40,640 Speaker 3: much technology that everyone kind of knows isn't good for them, 179 00:08:40,679 --> 00:08:44,480 Speaker 3: but it's kind of left to parents to regulate individually, 180 00:08:44,559 --> 00:08:47,760 Speaker 3: which which really feels like kind of an unfair system. 181 00:08:47,840 --> 00:08:50,240 Speaker 1: And I think so many parents feel like and this 182 00:08:50,280 --> 00:08:52,440 Speaker 1: is coming from me having like looked at technology for 183 00:08:52,440 --> 00:08:55,640 Speaker 1: the last fifteen years, being like, oh, can I even 184 00:08:55,679 --> 00:08:58,960 Speaker 1: prepare myself or prepare my child to grow up in 185 00:08:58,960 --> 00:09:01,200 Speaker 1: this world that looks so different than the world that 186 00:09:01,280 --> 00:09:03,080 Speaker 1: I grew up in. I think that there is a 187 00:09:03,280 --> 00:09:06,640 Speaker 1: feeling of anxiety and a lack of preparation. So what 188 00:09:06,679 --> 00:09:09,240 Speaker 1: do you say to parents who say, you know, I'm 189 00:09:09,280 --> 00:09:11,720 Speaker 1: finally wrapping my head around social media and now we 190 00:09:11,800 --> 00:09:15,840 Speaker 1: have AI and AI companions and all of these new things, Like, 191 00:09:15,880 --> 00:09:19,520 Speaker 1: what's your advice for parents who are looking at it 192 00:09:19,520 --> 00:09:20,319 Speaker 1: through that lens? 193 00:09:20,640 --> 00:09:25,240 Speaker 3: So Number one, my you know, response is just compassion, like, yes, 194 00:09:25,800 --> 00:09:28,160 Speaker 3: the technology is moving at such a fast pace and 195 00:09:28,200 --> 00:09:30,160 Speaker 3: we are being asked to try to manage something for 196 00:09:30,200 --> 00:09:32,640 Speaker 3: our kids that we don't fully understand ourselves. So my 197 00:09:32,679 --> 00:09:34,880 Speaker 3: first response is right there with you, this is really hard. 198 00:09:35,280 --> 00:09:38,360 Speaker 3: Number two, I actually think it's our curiosity that's one 199 00:09:38,400 --> 00:09:42,080 Speaker 3: of our best parental kind of traits and assets, and 200 00:09:42,400 --> 00:09:45,240 Speaker 3: you actually can't be curious about something you fully understand. 201 00:09:45,960 --> 00:09:50,200 Speaker 3: So actually not knowing something, being confused by something, being 202 00:09:50,240 --> 00:09:52,680 Speaker 3: willing to say I don't actually have all the answers, 203 00:09:52,800 --> 00:09:56,760 Speaker 3: those are necessary conditions to be curious, right, because you know, 204 00:09:56,840 --> 00:09:59,640 Speaker 3: if I understood everything about your job and you asked 205 00:09:59,640 --> 00:10:01,280 Speaker 3: me to ask a question, I'd say like, I'm sorry, 206 00:10:01,280 --> 00:10:03,000 Speaker 3: I don't have any questions. I kind of understand the 207 00:10:03,000 --> 00:10:05,520 Speaker 3: whole thing. If I don't understand it, I can ask 208 00:10:05,559 --> 00:10:08,160 Speaker 3: a million questions, which is actually a beautiful thing. And 209 00:10:08,240 --> 00:10:10,400 Speaker 3: so for the parent listening who's thinking, I don't even 210 00:10:10,480 --> 00:10:12,640 Speaker 3: understand AI fully myself, but I know it's kind of 211 00:10:12,640 --> 00:10:15,000 Speaker 3: coming into play with my kids homework or they're going 212 00:10:15,040 --> 00:10:17,880 Speaker 3: to it for emotional support. Just to say to yourself, 213 00:10:18,640 --> 00:10:22,080 Speaker 3: not understanding everything is actually going to work more in 214 00:10:22,080 --> 00:10:24,600 Speaker 3: my favor because now I can ask questions that are 215 00:10:24,600 --> 00:10:27,960 Speaker 3: really questions and we can figure this out together instead 216 00:10:28,000 --> 00:10:30,800 Speaker 3: of asking questions that are actually just judgment with the 217 00:10:30,880 --> 00:10:33,520 Speaker 3: question mark at the end, which never plays well with children. 218 00:10:34,800 --> 00:10:37,440 Speaker 3: And then number three, I think and this came up 219 00:10:37,480 --> 00:10:39,440 Speaker 3: for me as soon as you started asking the question 220 00:10:40,160 --> 00:10:44,679 Speaker 3: when in doubt coming back to the same kind of 221 00:10:44,920 --> 00:10:47,320 Speaker 3: jobs in my mind, in my language, we always have 222 00:10:47,480 --> 00:10:49,880 Speaker 3: as a parent is always going to be a useful 223 00:10:49,880 --> 00:10:53,440 Speaker 3: framework when there's some world change or technology change. And 224 00:10:53,520 --> 00:10:56,880 Speaker 3: so I always tell parents that we want to do 225 00:10:56,920 --> 00:10:59,079 Speaker 3: our job well. Every parent, your parent says, I want 226 00:10:59,120 --> 00:11:00,440 Speaker 3: to do a good job as a parent. But if 227 00:11:00,480 --> 00:11:02,839 Speaker 3: I said to you, what is your job? Like, what 228 00:11:02,960 --> 00:11:06,360 Speaker 3: are the things that make up your job? Most parents say, 229 00:11:06,520 --> 00:11:06,920 Speaker 3: I don't know. 230 00:11:07,400 --> 00:11:10,640 Speaker 1: Definitely keeping my kid alive, Definitely, keeping your life number one, 231 00:11:10,800 --> 00:11:14,000 Speaker 1: number one, making sure he's I mean, god, now I 232 00:11:14,000 --> 00:11:15,640 Speaker 1: feel like, why did I just bring this on myself 233 00:11:15,640 --> 00:11:16,040 Speaker 1: to try to do? 234 00:11:16,360 --> 00:11:20,800 Speaker 3: If I can answer, this is no popod. So so 235 00:11:20,880 --> 00:11:23,480 Speaker 3: to me, there's two things that we would say a 236 00:11:23,480 --> 00:11:25,560 Speaker 3: good inside we call these family jobs to come back to, 237 00:11:26,000 --> 00:11:29,560 Speaker 3: which is setting boundaries and then kind of understanding what's 238 00:11:29,559 --> 00:11:33,720 Speaker 3: happening for your kid through connection validation. So let's say 239 00:11:34,080 --> 00:11:37,760 Speaker 3: boundaries and understanding. So start with boundaries over and over 240 00:11:37,840 --> 00:11:40,560 Speaker 3: is apparently set boundaries. It doesn't matter what the technology is. 241 00:11:40,600 --> 00:11:43,400 Speaker 3: Setting boundaries is always going to be something I do 242 00:11:43,559 --> 00:11:46,319 Speaker 3: to help keep my kids safe. Boundaries are limits we set. 243 00:11:46,679 --> 00:11:48,720 Speaker 3: Boundaries are rules we make that tend to have a 244 00:11:48,760 --> 00:11:51,559 Speaker 3: sense of what's good for someone long term, maybe not 245 00:11:51,600 --> 00:11:54,960 Speaker 3: just optimizing for you know, short term. Bedtime is a 246 00:11:54,960 --> 00:11:57,560 Speaker 3: boundary we set, you know, the food they eat is 247 00:11:57,600 --> 00:12:00,000 Speaker 3: a boundary we set when they get over sleepovers or 248 00:12:00,000 --> 00:12:03,360 Speaker 3: how many after school activities technology. So I just think 249 00:12:03,400 --> 00:12:05,760 Speaker 3: that's a powerful framework. No matter what is going on 250 00:12:05,840 --> 00:12:09,200 Speaker 3: with AI, I'm probably gonna have to set some boundaries, right, okay. 251 00:12:09,480 --> 00:12:11,600 Speaker 3: And then when you set a boundary with a kid, 252 00:12:11,720 --> 00:12:14,079 Speaker 3: especially if they're not used to it, they always have 253 00:12:14,160 --> 00:12:16,280 Speaker 3: the same reaction. And this is so important because we 254 00:12:16,320 --> 00:12:18,520 Speaker 3: have such fantasies about what's going to happen. Like I 255 00:12:18,559 --> 00:12:22,439 Speaker 3: think people think, I say to my kids screen time 256 00:12:22,559 --> 00:12:25,439 Speaker 3: is over, and they go, okay. 257 00:12:25,440 --> 00:12:28,160 Speaker 1: Well, like your doctor, Becky, of course the envision that's 258 00:12:28,160 --> 00:12:28,920 Speaker 1: what happened, right. 259 00:12:28,920 --> 00:12:32,000 Speaker 3: Or they say like, I really appreciate you protecting my 260 00:12:32,080 --> 00:12:33,840 Speaker 3: long term interests because I'm not able to do that. 261 00:12:33,920 --> 00:12:38,000 Speaker 3: You're such a sturdy leader. No boundaries are always followed 262 00:12:38,000 --> 00:12:42,079 Speaker 3: with your kids. Protest all ways, and we somehow keep 263 00:12:42,160 --> 00:12:44,960 Speaker 3: letting ourselves be surprised by this. But if you know 264 00:12:45,000 --> 00:12:47,240 Speaker 3: they're going to be followed with protest, and you're someone 265 00:12:47,240 --> 00:12:49,280 Speaker 3: who likes to do your job, well, it's actually good 266 00:12:49,320 --> 00:12:50,960 Speaker 3: news because you might think, oh, then I can do 267 00:12:51,000 --> 00:12:52,520 Speaker 3: the other part of my job. So my kid's going 268 00:12:52,559 --> 00:12:54,640 Speaker 3: to be upset, let's say about the end of screen time, 269 00:12:54,800 --> 00:12:56,760 Speaker 3: But then I can do the understanding piece. Oh you 270 00:12:56,760 --> 00:12:59,240 Speaker 3: wish you could watch another show, You wish you could 271 00:12:59,280 --> 00:13:01,720 Speaker 3: stay up later. You wish is almost especially when your 272 00:13:01,800 --> 00:13:05,280 Speaker 3: kids are young, good language just to start using. Right, 273 00:13:05,280 --> 00:13:07,640 Speaker 3: you wish you could have ice cream for breakfast, whatever 274 00:13:07,679 --> 00:13:11,160 Speaker 3: it is? Right, But when you understand your kid, you 275 00:13:11,240 --> 00:13:14,280 Speaker 3: still hold the boundary. Understanding doesn't mean you change the boundary. 276 00:13:14,360 --> 00:13:16,200 Speaker 3: And the reason I come back to these jobs is 277 00:13:16,400 --> 00:13:19,320 Speaker 3: if I'm starting to think about AI, I would start 278 00:13:19,320 --> 00:13:21,960 Speaker 3: to think what are the boundaries around it? And sometimes 279 00:13:22,040 --> 00:13:24,480 Speaker 3: boundaries aren't just things we say, they're actually things we do. 280 00:13:25,080 --> 00:13:28,240 Speaker 3: What is my kid of access to for their computer? 281 00:13:28,760 --> 00:13:31,199 Speaker 3: How often is my kid allowed to be on technology 282 00:13:31,280 --> 00:13:33,959 Speaker 3: in their own room? If at all, is my kid 283 00:13:34,000 --> 00:13:36,080 Speaker 3: allowed to have an iPad in their room? What's on 284 00:13:36,160 --> 00:13:39,959 Speaker 3: their iPad? Are their iPads set up as a child 285 00:13:40,080 --> 00:13:42,160 Speaker 3: or as an adult. Most of us think our kids 286 00:13:42,240 --> 00:13:45,200 Speaker 3: iPads are set up with our kids as a kid, 287 00:13:45,280 --> 00:13:47,280 Speaker 3: So we can control a lot of kids if we 288 00:13:47,320 --> 00:13:49,520 Speaker 3: didn't do it for them, have worked their way around it, 289 00:13:49,520 --> 00:13:51,600 Speaker 3: and they're set up as an adult. That's something i'd 290 00:13:51,600 --> 00:13:53,719 Speaker 3: want to change. That's a boundary. My kid's going to 291 00:13:53,800 --> 00:13:56,160 Speaker 3: be upset and then I can understand, and so to me, 292 00:13:56,240 --> 00:13:58,240 Speaker 3: those are jobs I can come back to even as 293 00:13:58,280 --> 00:14:01,640 Speaker 3: I'm learning a new technology. 294 00:14:10,520 --> 00:14:12,920 Speaker 1: I love this idea of looking at AI through the 295 00:14:13,000 --> 00:14:15,400 Speaker 1: lens of boundaries, right, I've always looked at it from it. 296 00:14:15,400 --> 00:14:16,840 Speaker 1: If I put on my tech ad through the lens 297 00:14:16,880 --> 00:14:19,640 Speaker 1: of like guardrails, but you're putting it. But on the 298 00:14:19,720 --> 00:14:22,440 Speaker 1: parenting side, it's like through. It's like one and the same. 299 00:14:23,440 --> 00:14:25,720 Speaker 1: This is a good time because we had people were 300 00:14:25,760 --> 00:14:27,560 Speaker 1: obviously very excited that you were going to be on 301 00:14:27,680 --> 00:14:30,640 Speaker 1: the show, and so we had some folks calling with 302 00:14:30,720 --> 00:14:32,120 Speaker 1: some questions. So I'm going to play one of them 303 00:14:32,160 --> 00:14:35,400 Speaker 1: now because I think this is a woman who has 304 00:14:35,440 --> 00:14:37,840 Speaker 1: a question about chat GPT and her child, and I 305 00:14:37,880 --> 00:14:40,960 Speaker 1: feel like now is the perfect time to play the tack. Great. Hi. 306 00:14:41,480 --> 00:14:47,080 Speaker 5: So my daughter, who is twelve, decided to use chat 307 00:14:47,080 --> 00:14:51,440 Speaker 5: GPT to ask a question about test taking and studying tips. 308 00:14:52,600 --> 00:14:54,720 Speaker 5: And she was telling me about this casually one day 309 00:14:54,760 --> 00:14:58,880 Speaker 5: while we were folding laundry, and she said that she 310 00:14:58,960 --> 00:15:04,120 Speaker 5: got some great tests taking tips, but then chatjpt started 311 00:15:04,160 --> 00:15:08,040 Speaker 5: to prompt her about her feelings and give feelings advice, 312 00:15:08,640 --> 00:15:10,840 Speaker 5: and so we pause the conversation and we talked about 313 00:15:10,840 --> 00:15:14,040 Speaker 5: the different ways that we could use CHATJPT and other 314 00:15:14,080 --> 00:15:19,280 Speaker 5: AI or technology to help us source information synthesize information, 315 00:15:19,920 --> 00:15:23,760 Speaker 5: but that we should be particularly wary of and careful 316 00:15:23,760 --> 00:15:30,120 Speaker 5: about any type of AI tool that is trying to 317 00:15:30,120 --> 00:15:34,520 Speaker 5: ask questions about feelings or give advice about feelings. We 318 00:15:34,600 --> 00:15:37,280 Speaker 5: talked a bit about other young people who have used 319 00:15:37,320 --> 00:15:40,760 Speaker 5: AI tools that have loved done down paths to suicide 320 00:15:40,880 --> 00:15:45,560 Speaker 5: or other harmful behavior. And I think she's super smart 321 00:15:45,560 --> 00:15:48,000 Speaker 5: and gets all of this, but I was wondering what 322 00:15:48,080 --> 00:15:49,960 Speaker 5: more can I do as a parent, What more can 323 00:15:50,040 --> 00:15:54,280 Speaker 5: parents do as our tweens begin engaging with AI and 324 00:15:54,280 --> 00:15:57,160 Speaker 5: technology in school and in other settings, and how we 325 00:15:57,200 --> 00:16:01,600 Speaker 5: can prepare them to discern what is a good use, 326 00:16:02,440 --> 00:16:05,040 Speaker 5: what's a not so good use, and when to be 327 00:16:05,360 --> 00:16:09,600 Speaker 5: really skeptical of the types of information that an AI 328 00:16:09,640 --> 00:16:11,560 Speaker 5: tool is providing to them. 329 00:16:11,720 --> 00:16:14,200 Speaker 3: This is a fantastic question, I mean, it really is. 330 00:16:14,320 --> 00:16:16,240 Speaker 3: So I'm going to say the thing that's loudest on 331 00:16:16,280 --> 00:16:18,520 Speaker 3: my mind and then I'll expand on it. I think 332 00:16:18,640 --> 00:16:20,960 Speaker 3: probably the most important thing to do with your kid 333 00:16:21,200 --> 00:16:23,840 Speaker 3: around AI and this is a great question, when is 334 00:16:23,880 --> 00:16:25,920 Speaker 3: it being used in a way that feels like it's 335 00:16:26,000 --> 00:16:31,120 Speaker 3: helping me practically getting information? And when am I starting 336 00:16:31,120 --> 00:16:35,400 Speaker 3: to rely on it for kind of emotional support in 337 00:16:35,440 --> 00:16:37,360 Speaker 3: a way that might work against me long term than 338 00:16:37,400 --> 00:16:39,400 Speaker 3: for me. To me, the most important thing you can 339 00:16:39,400 --> 00:16:42,680 Speaker 3: do as a parent is keep the conversation open. I 340 00:16:42,720 --> 00:16:45,360 Speaker 3: would actually say this with any tricky topic with our kid. 341 00:16:45,720 --> 00:16:48,320 Speaker 3: And the reason I think that's so important is it's 342 00:16:48,360 --> 00:16:52,160 Speaker 3: actually going against what feels really natural in the moment. 343 00:16:52,840 --> 00:16:55,240 Speaker 3: It's not that we want to end a conversation, but 344 00:16:55,320 --> 00:16:57,840 Speaker 3: we want to say things like, so do this and 345 00:16:57,880 --> 00:17:00,960 Speaker 3: not this right. We want to give a lessons right, 346 00:17:01,120 --> 00:17:03,400 Speaker 3: anytime we give a final lesson, this is the right 347 00:17:03,400 --> 00:17:05,439 Speaker 3: way to do it. What happens for my kid is 348 00:17:05,440 --> 00:17:07,800 Speaker 3: they're thinking, okay, So if I ever go to do 349 00:17:07,880 --> 00:17:11,080 Speaker 3: it in a way that's against this rule, ooh, my 350 00:17:11,080 --> 00:17:13,880 Speaker 3: parents is gonna be upset with me. Right. I don't 351 00:17:13,880 --> 00:17:15,600 Speaker 3: really know who I could go talk to if I 352 00:17:15,640 --> 00:17:18,840 Speaker 3: know one thing about tweens and teens growing up in 353 00:17:18,880 --> 00:17:22,440 Speaker 3: an ai age. They're gonna have a lot of tricky situations, 354 00:17:22,520 --> 00:17:25,800 Speaker 3: a lot of messy situations. I said to my kid recently, 355 00:17:25,800 --> 00:17:28,160 Speaker 3: my fourteen year old, you know, if you were walking 356 00:17:28,320 --> 00:17:31,199 Speaker 3: to a town and you wanted to get there and 357 00:17:31,200 --> 00:17:33,159 Speaker 3: all of a sudden there's a shortcut, what do you 358 00:17:33,200 --> 00:17:35,840 Speaker 3: take it? He was like, yeah, this is a trick question. 359 00:17:35,880 --> 00:17:36,960 Speaker 3: I was like, yeah, I would too. 360 00:17:37,040 --> 00:17:37,240 Speaker 2: Good. 361 00:17:37,440 --> 00:17:43,040 Speaker 3: Okay, You're growing up at a time when there is 362 00:17:43,119 --> 00:17:49,160 Speaker 3: this shortcut for every academic and emotional thing you ever 363 00:17:49,280 --> 00:17:53,440 Speaker 3: go through, Like that is so hard because this shortcut 364 00:17:53,480 --> 00:17:56,240 Speaker 3: isn't like the shortcut to the town. It is a shortcut. 365 00:17:56,320 --> 00:17:58,119 Speaker 3: But the way it will add up over time is 366 00:17:58,160 --> 00:17:59,920 Speaker 3: it and things we've talked about it. It's gonna be 367 00:18:00,040 --> 00:18:02,919 Speaker 3: harder to think about things yourself. It's gonna be harder 368 00:18:02,960 --> 00:18:04,879 Speaker 3: to tolerate people not getting it right. It's going to, 369 00:18:04,960 --> 00:18:07,119 Speaker 3: over time, maybe take away from the things you're trying 370 00:18:07,119 --> 00:18:09,199 Speaker 3: to build to function in the world. But it is 371 00:18:09,240 --> 00:18:12,080 Speaker 3: a shortcut. I'm not gonna pretend it's not. And so 372 00:18:13,480 --> 00:18:16,840 Speaker 3: what a hard thing. And so if we use that 373 00:18:17,080 --> 00:18:19,600 Speaker 3: as a baseline, not my kid is lazy, not my 374 00:18:19,680 --> 00:18:22,159 Speaker 3: kid is lying, but oh my goodness, to be a 375 00:18:22,200 --> 00:18:27,359 Speaker 3: teen growing up with such a readily available academic and 376 00:18:27,640 --> 00:18:30,600 Speaker 3: emotional shortcut that we say isn't good for them, but 377 00:18:30,800 --> 00:18:34,119 Speaker 3: is a shortcut with an underdeveloped refrontal cortex. 378 00:18:34,720 --> 00:18:35,400 Speaker 2: Oh. 379 00:18:35,440 --> 00:18:36,960 Speaker 3: I think the best thing I could do as a 380 00:18:37,040 --> 00:18:40,000 Speaker 3: parent is just continue to be a home base for 381 00:18:40,119 --> 00:18:43,520 Speaker 3: my kid to come to, because they are going to 382 00:18:43,560 --> 00:18:46,480 Speaker 3: need it. I think the cost to not being emotionally 383 00:18:46,480 --> 00:18:49,200 Speaker 3: connected to your kid has just never been higher because 384 00:18:49,240 --> 00:18:52,680 Speaker 3: our kids are just going to face endlessly more tricky 385 00:18:52,720 --> 00:18:56,840 Speaker 3: situations because of all the technology. Now, that doesn't mean 386 00:18:57,600 --> 00:19:01,200 Speaker 3: quote approval or throwing a I'm not saying you should 387 00:19:01,200 --> 00:19:02,840 Speaker 3: say to your kid if you ever use chatch Ept 388 00:19:03,000 --> 00:19:07,040 Speaker 3: to cheat on your paper, let's go out to ice cream. No, okay. 389 00:19:07,200 --> 00:19:08,600 Speaker 3: And the reason I think that's funny is we tend 390 00:19:08,640 --> 00:19:11,080 Speaker 3: to think in extremes. Yeah, either I'm saying you can't 391 00:19:11,080 --> 00:19:13,240 Speaker 3: do that, or I'm throwing them a party. What's in 392 00:19:13,240 --> 00:19:16,199 Speaker 3: the middle is keeping a conversation open. So I'll just 393 00:19:16,280 --> 00:19:18,600 Speaker 3: model that because I think modeling is sometimes you know 394 00:19:18,640 --> 00:19:20,080 Speaker 3: the best way to get it across. Based on what 395 00:19:20,119 --> 00:19:24,240 Speaker 3: this parent was saying, Wow, so you use chatchipt to 396 00:19:24,320 --> 00:19:26,840 Speaker 3: help you get some study skills? Is that right, right? 397 00:19:26,920 --> 00:19:29,840 Speaker 3: Did I get that right? That's just such a powerful 398 00:19:29,960 --> 00:19:31,800 Speaker 3: thing to say to a kid, Did I get that right? 399 00:19:31,880 --> 00:19:33,439 Speaker 3: Or to your husband or your wife, whoever it is. 400 00:19:33,440 --> 00:19:35,720 Speaker 2: I'm like literally just like taking like mental notes. 401 00:19:35,720 --> 00:19:38,480 Speaker 1: I'm like, thank god, this is taped, like note to Laurie, 402 00:19:38,840 --> 00:19:39,680 Speaker 1: keep this okay. 403 00:19:39,920 --> 00:19:42,040 Speaker 3: So actually I'm gonna start again. The number one thing 404 00:19:42,040 --> 00:19:44,080 Speaker 3: I would say to your kid to start with when 405 00:19:44,119 --> 00:19:47,919 Speaker 3: they talk to about anything related to AI is start 406 00:19:47,960 --> 00:19:51,040 Speaker 3: by saying, I'm so glad you're talking to me about this, 407 00:19:51,480 --> 00:19:54,439 Speaker 3: because there's something much more meta you're communicating to your 408 00:19:54,480 --> 00:19:57,480 Speaker 3: kid in that moment, which is these types of messy 409 00:19:57,560 --> 00:20:01,159 Speaker 3: topics are things that can kind of be held in 410 00:20:01,200 --> 00:20:04,520 Speaker 3: our relationship. That's so powerful. I'm so glad you're talking 411 00:20:04,520 --> 00:20:06,840 Speaker 3: to me about this. Then just mirror back what they say. 412 00:20:07,080 --> 00:20:08,359 Speaker 3: So let me see if I got this right. You 413 00:20:08,359 --> 00:20:11,200 Speaker 3: were talking to chat GBT, you got some study scale 414 00:20:11,200 --> 00:20:13,360 Speaker 3: tips and that was really helpful. Did I get that right? 415 00:20:13,480 --> 00:20:17,640 Speaker 3: And kids like yeah? And then something different happened. It 416 00:20:17,800 --> 00:20:20,560 Speaker 3: kind of veered off into a conversation maybe about how 417 00:20:20,600 --> 00:20:23,399 Speaker 3: you're feeling. Is that right? Yes? And this is this 418 00:20:23,400 --> 00:20:25,720 Speaker 3: is probably what i'd say to my kid what was 419 00:20:25,760 --> 00:20:28,359 Speaker 3: that like? And if I have a kind of people 420 00:20:28,359 --> 00:20:30,679 Speaker 3: pleasing kid, they'll probably say, oh, it's bad. I know 421 00:20:30,720 --> 00:20:32,480 Speaker 3: that's wrong. And this is where I think, if we 422 00:20:32,520 --> 00:20:35,560 Speaker 3: want to play the long game, I'd probably say, look, 423 00:20:35,600 --> 00:20:39,000 Speaker 3: maybe this sounds weird, but did any part of it 424 00:20:39,119 --> 00:20:42,440 Speaker 3: kind of feel good? It can feel good when someone 425 00:20:42,520 --> 00:20:45,520 Speaker 3: just says back to you what they see happening emotionally, 426 00:20:45,880 --> 00:20:48,479 Speaker 3: because if we don't understand what feels good about something, 427 00:20:48,520 --> 00:20:50,879 Speaker 3: we're going to always miss out with our kids about 428 00:20:50,880 --> 00:20:53,200 Speaker 3: the things that draw them to that thing. And if 429 00:20:53,200 --> 00:20:55,959 Speaker 3: we don't understand what's going to draw them to AI emotionally, 430 00:20:56,400 --> 00:20:59,800 Speaker 3: and a lot will, then they're gonna have to keep 431 00:20:59,800 --> 00:21:02,840 Speaker 3: that entire part of their life separate from us and 432 00:21:02,880 --> 00:21:06,080 Speaker 3: we won't hear about it. And the way I would 433 00:21:06,160 --> 00:21:09,840 Speaker 3: just keep that conversation open versus closed, is if I 434 00:21:09,880 --> 00:21:12,200 Speaker 3: was going to close the conversation, and it would feel 435 00:21:12,240 --> 00:21:14,520 Speaker 3: better to a parent because it feels final. You'd say, 436 00:21:14,800 --> 00:21:16,639 Speaker 3: I'm glad we talked about this, So don't go to 437 00:21:16,720 --> 00:21:19,560 Speaker 3: chat ept for emotional stuff. Do go to logical stuff 438 00:21:19,640 --> 00:21:21,560 Speaker 3: right right? And like I tell myself, oh, I feel 439 00:21:21,560 --> 00:21:23,840 Speaker 3: like really good. As a parent, I just think life 440 00:21:23,920 --> 00:21:25,880 Speaker 3: is a lot messier than that. Like, I just don't 441 00:21:25,920 --> 00:21:29,000 Speaker 3: think at age twelve now, from twelve through whenever, every 442 00:21:29,040 --> 00:21:30,960 Speaker 3: time my kid's going through something emotionally, they're going to 443 00:21:31,000 --> 00:21:32,600 Speaker 3: be like I remember that talk I had of my parent. 444 00:21:32,760 --> 00:21:34,600 Speaker 3: They said yes, this, no, this, So that's what I'm 445 00:21:34,640 --> 00:21:37,120 Speaker 3: going to do. That's not how our emotions work. I'd 446 00:21:37,200 --> 00:21:40,040 Speaker 3: rather leave a conversation open like this again, I'm so 447 00:21:40,080 --> 00:21:42,639 Speaker 3: glad you told me that. Look, there's probably going to 448 00:21:42,680 --> 00:21:47,000 Speaker 3: be a moment when something feels emotionally hard, emotionally messy, 449 00:21:47,600 --> 00:21:50,600 Speaker 3: and maybe you might think about coming to me, but 450 00:21:50,960 --> 00:21:53,520 Speaker 3: there might be something enticing about just talking to a 451 00:21:53,520 --> 00:21:57,680 Speaker 3: computer who probably is always available, never has their own agenda, 452 00:21:58,119 --> 00:22:01,159 Speaker 3: never gets upset, yeah, and always says something that's like, 453 00:22:01,200 --> 00:22:03,640 Speaker 3: oh that feels good. And I just want to tell 454 00:22:03,680 --> 00:22:08,200 Speaker 3: you when that moment comes, when that feels interesting or enticing, 455 00:22:08,840 --> 00:22:10,520 Speaker 3: that's actually a moment i'd love you to tell me about. 456 00:22:10,600 --> 00:22:13,360 Speaker 3: I anticipate the moment's going to come. Maybe it already has. 457 00:22:14,119 --> 00:22:17,439 Speaker 3: I'm not kind of ignorant to that fact. And so 458 00:22:17,520 --> 00:22:19,480 Speaker 3: what I'm really doing is, in some ways I'm opening 459 00:22:19,560 --> 00:22:23,200 Speaker 3: the door for more conversations instead of kind of closing 460 00:22:23,240 --> 00:22:24,200 Speaker 3: all those future doors. 461 00:22:24,520 --> 00:22:27,000 Speaker 1: Yeah, God, it's so powerful to hear you talk about it, 462 00:22:27,040 --> 00:22:30,399 Speaker 1: because I look at how the AI is developed, right, 463 00:22:30,440 --> 00:22:33,840 Speaker 1: which you touched on, which is in many ways it's affirmative. 464 00:22:33,920 --> 00:22:37,160 Speaker 1: It's always on, it always has an answer, it will 465 00:22:37,160 --> 00:22:39,240 Speaker 1: go in the direction that you want it to go in. 466 00:22:39,680 --> 00:22:44,480 Speaker 1: These systems are so incredibly powerful. This is social media 467 00:22:44,520 --> 00:22:49,280 Speaker 1: on steroids beyond. And I think, to hear you say, okay, 468 00:22:49,320 --> 00:22:52,320 Speaker 1: well we need to actually do the thing that's human 469 00:22:52,440 --> 00:22:56,120 Speaker 1: to counter the thing that's technology is actually really powerful. 470 00:22:56,160 --> 00:22:57,439 Speaker 1: And then I want to go back to something you 471 00:22:57,440 --> 00:23:02,280 Speaker 1: said about the mess. It is hard to be human. 472 00:23:02,440 --> 00:23:05,760 Speaker 1: Being human is weird, Like being to be vulnerable is 473 00:23:05,840 --> 00:23:09,119 Speaker 1: really tough. Intimacy as like I think you said this before. 474 00:23:09,119 --> 00:23:13,080 Speaker 1: Intimacy is like awkward, yes, right, Like humanity is messy, 475 00:23:13,160 --> 00:23:16,000 Speaker 1: but it's the mess that makes us find purpose. I 476 00:23:16,000 --> 00:23:18,600 Speaker 1: think back to when I was eleven or twelve, which 477 00:23:18,600 --> 00:23:20,480 Speaker 1: were kind of painful years for me to be quiet. 478 00:23:20,480 --> 00:23:22,639 Speaker 1: I mean for many right, So it's like I'm no 479 00:23:22,720 --> 00:23:24,320 Speaker 1: special flower here. 480 00:23:24,400 --> 00:23:25,680 Speaker 3: I'm not like you know. 481 00:23:26,760 --> 00:23:28,560 Speaker 1: But you know, I think about it growing up a 482 00:23:28,640 --> 00:23:31,159 Speaker 1: kid in Georgia, the only Jewish girl are very Christian 483 00:23:31,160 --> 00:23:34,880 Speaker 1: conservative school parents having a really nasty divorce. And I 484 00:23:34,920 --> 00:23:38,399 Speaker 1: think about AI, right, And I used to write my 485 00:23:38,440 --> 00:23:39,639 Speaker 1: feelings in a journal. 486 00:23:39,680 --> 00:23:42,080 Speaker 2: I had journals and journals full of how I was feeling. 487 00:23:42,560 --> 00:23:44,720 Speaker 1: And I always try to say this, like to parents 488 00:23:44,720 --> 00:23:48,560 Speaker 1: who were trying to understand AI and companionship and why 489 00:23:48,560 --> 00:23:50,879 Speaker 1: would people be talking to these Imagine if the journal 490 00:23:51,000 --> 00:23:54,600 Speaker 1: talked back. Imagine if it was always on and always there. 491 00:23:54,680 --> 00:23:56,760 Speaker 1: Imagine if the journal played the role of the boyfriend 492 00:23:56,800 --> 00:23:59,480 Speaker 1: I couldn't get, or the therapist I didn't have access 493 00:23:59,520 --> 00:24:02,560 Speaker 1: to at the time, or you know, the parent or 494 00:24:02,760 --> 00:24:06,280 Speaker 1: emulated a parent figure to me. Would that have been 495 00:24:06,640 --> 00:24:09,439 Speaker 1: helpful or would that have taken me further from my 496 00:24:09,560 --> 00:24:13,040 Speaker 1: reality of feeling this isolation? Because I think that isolation 497 00:24:13,280 --> 00:24:17,439 Speaker 1: probably and that feeling and that tension probably made me 498 00:24:17,560 --> 00:24:19,760 Speaker 1: who I am and why I'm sitting here with you, right, 499 00:24:19,800 --> 00:24:22,600 Speaker 1: and had a certain empathy and understanding for people. So 500 00:24:23,520 --> 00:24:26,960 Speaker 1: as we look at a future with AI, what happens 501 00:24:27,119 --> 00:24:31,000 Speaker 1: when our children aren't going to be growing up experiencing 502 00:24:31,040 --> 00:24:33,320 Speaker 1: the mess of what it means to be human when 503 00:24:33,359 --> 00:24:36,040 Speaker 1: it comes to kind of AI and that loss of friction. 504 00:24:36,680 --> 00:24:38,760 Speaker 3: I mean, I think this is in some ways good 505 00:24:38,800 --> 00:24:41,639 Speaker 3: Inside's new rais on tetra, like you know, a reason 506 00:24:41,720 --> 00:24:45,800 Speaker 3: to exist. I mean it's terrifying, you know. It's the 507 00:24:45,840 --> 00:24:47,800 Speaker 3: thing that kind of keeps me up at night. I mean, 508 00:24:47,840 --> 00:24:51,560 Speaker 3: we are all drawn to convenience in the short term 509 00:24:51,600 --> 00:24:54,040 Speaker 3: over what's good to us in the long term. We 510 00:24:54,080 --> 00:24:56,280 Speaker 3: can't help it. As humans, we love the comfort of it. 511 00:24:56,280 --> 00:25:00,359 Speaker 3: It's so comfortable. Our bodies are drawn to that. AI 512 00:25:00,560 --> 00:25:02,520 Speaker 3: now is in a place I don't even know where 513 00:25:02,520 --> 00:25:05,520 Speaker 3: it's going to be yours now where again, what's there 514 00:25:05,760 --> 00:25:08,800 Speaker 3: is immediate comfort and it's really sophisticated comfort. 515 00:25:09,160 --> 00:25:10,480 Speaker 2: It's not just a lolly life. 516 00:25:10,480 --> 00:25:16,480 Speaker 3: It's anymore. Right. And so you know what I think 517 00:25:16,520 --> 00:25:20,640 Speaker 3: the nuance is is so I experienced something messy as 518 00:25:20,640 --> 00:25:24,320 Speaker 3: a human, and if I can bring it to a 519 00:25:24,400 --> 00:25:29,080 Speaker 3: container that is sycophantic, that just mirrors it all back 520 00:25:29,119 --> 00:25:32,560 Speaker 3: to me. Right, always available, never tire never reacts. 521 00:25:33,040 --> 00:25:33,240 Speaker 4: You know. 522 00:25:33,640 --> 00:25:36,200 Speaker 3: My inkling, if I'm honest is let's say the first 523 00:25:36,200 --> 00:25:40,600 Speaker 3: two times making that up number. But that feels nice, okay, right? 524 00:25:41,240 --> 00:25:43,080 Speaker 3: I want I wonder if you could have used your 525 00:25:43,119 --> 00:25:45,200 Speaker 3: journal to talk back to you a handful of times, 526 00:25:45,200 --> 00:25:48,280 Speaker 3: if that would have felt really grounding. You know, I 527 00:25:48,320 --> 00:25:50,639 Speaker 3: hear you, Laurie, You're right, this feels hard because it 528 00:25:50,720 --> 00:25:53,159 Speaker 3: is hard. You're not crazy. You're going to get through it. 529 00:25:53,240 --> 00:25:56,360 Speaker 3: And making that up right, there could be something then. 530 00:25:56,400 --> 00:25:59,200 Speaker 3: I think it's about not just diminishing returns, but where 531 00:25:59,240 --> 00:26:00,880 Speaker 3: the trajectory is really changes. 532 00:26:01,200 --> 00:26:01,359 Speaker 6: You Know. 533 00:26:01,400 --> 00:26:03,120 Speaker 3: One of the things I'm always thinking about with kids 534 00:26:03,119 --> 00:26:05,560 Speaker 3: and why I care so much about the work we're 535 00:26:05,560 --> 00:26:09,479 Speaker 3: doing at Good Inside, is the early years become the 536 00:26:09,520 --> 00:26:13,880 Speaker 3: factory settings for all of our teenage and adult years. 537 00:26:14,200 --> 00:26:18,159 Speaker 3: The early years matter so much because it forms the 538 00:26:18,160 --> 00:26:20,800 Speaker 3: circuitry on our body. What should I expect in the world? 539 00:26:20,880 --> 00:26:23,320 Speaker 3: How do things work? What do I expect of myself? 540 00:26:23,359 --> 00:26:25,240 Speaker 3: What do I expect of interactions? What can I expect 541 00:26:25,280 --> 00:26:28,280 Speaker 3: of other people? What happens when I'm upset? Who do 542 00:26:28,359 --> 00:26:30,760 Speaker 3: I go to? What happens then? How quickly do I 543 00:26:30,800 --> 00:26:33,679 Speaker 3: go from one hundred to a zero when I'm upset? 544 00:26:33,720 --> 00:26:36,600 Speaker 3: What is my expectation of the other person or the 545 00:26:36,680 --> 00:26:39,199 Speaker 3: other entity? Do they listen right away? Do I sometimes 546 00:26:39,240 --> 00:26:42,320 Speaker 3: have to wait? Do I write this is actually what's happening? 547 00:26:42,720 --> 00:26:46,320 Speaker 3: And now fast forward to adulthood. There's two parts of 548 00:26:46,359 --> 00:26:48,679 Speaker 3: the road I think that I'm concerned about. One is 549 00:26:51,080 --> 00:26:54,800 Speaker 3: will we just be so intolerant of human relationships that 550 00:26:54,840 --> 00:27:01,120 Speaker 3: we proverbially keep ourselves at home? What go talk to someone? Right? 551 00:27:01,160 --> 00:27:04,359 Speaker 3: You're right? Human interactions are awkward. You can't make the 552 00:27:04,480 --> 00:27:07,760 Speaker 3: awkward un awkward, asking someone out on a date, talking 553 00:27:07,760 --> 00:27:11,800 Speaker 3: to someone about something that's hard for you. These are 554 00:27:12,440 --> 00:27:14,840 Speaker 3: hard moments and the only way they start to become 555 00:27:14,880 --> 00:27:17,040 Speaker 3: easier is you just do them a lot. It's pure 556 00:27:17,119 --> 00:27:21,000 Speaker 3: reps in practice. So one part of me thinks, what's 557 00:27:21,320 --> 00:27:24,159 Speaker 3: going to be our literal ability if all of our 558 00:27:24,200 --> 00:27:28,600 Speaker 3: early circuitry says, when something's hard, it gets easy right away. 559 00:27:28,920 --> 00:27:31,879 Speaker 3: When something's hard, someone's always there right away. When you 560 00:27:31,960 --> 00:27:34,879 Speaker 3: start talking, immediately it says something back, and it's perfect, 561 00:27:34,920 --> 00:27:37,399 Speaker 3: and it's not reactive, and it's never triggered, and it 562 00:27:37,480 --> 00:27:40,719 Speaker 3: never asks you to consider another viewpoint. Right? Well, how 563 00:27:40,760 --> 00:27:42,960 Speaker 3: am I going to go talk to a friend or 564 00:27:43,000 --> 00:27:43,920 Speaker 3: a boyfriend? Right? 565 00:27:44,000 --> 00:27:44,080 Speaker 4: So? 566 00:27:44,240 --> 00:27:47,000 Speaker 3: Just am I going to be unable? The other thing 567 00:27:48,240 --> 00:27:52,080 Speaker 3: scares me? Maybe even more where and I already see 568 00:27:52,119 --> 00:27:57,520 Speaker 3: this where if I'm accustomed as a kid, especially to 569 00:27:57,720 --> 00:28:03,400 Speaker 3: people fixing my problems, me rescuing me from my disappointment 570 00:28:03,960 --> 00:28:07,600 Speaker 3: when someone doesn't forget being awkward. Why, it's a little like, 571 00:28:09,119 --> 00:28:13,080 Speaker 3: why are you making me feel this disappointment? Why are 572 00:28:13,119 --> 00:28:18,720 Speaker 3: you making me feel this way? Who is responsible for 573 00:28:18,800 --> 00:28:22,679 Speaker 3: this frustration? Because I am very accustomed to having frustration, 574 00:28:23,240 --> 00:28:27,240 Speaker 3: and my AI companion just taking it down from a 575 00:28:27,480 --> 00:28:30,320 Speaker 3: hundred to a zero. So now when I even feel 576 00:28:30,359 --> 00:28:33,919 Speaker 3: frustration at a one, it feels like in a thousand 577 00:28:34,000 --> 00:28:37,320 Speaker 3: because my body has no coping scale, and that leads 578 00:28:37,359 --> 00:28:38,720 Speaker 3: to a lot of rage. 579 00:28:39,480 --> 00:28:43,000 Speaker 1: I think what you're saying is you're touching on something 580 00:28:43,080 --> 00:28:44,840 Speaker 1: that if I could kind of put on my tech 581 00:28:44,920 --> 00:28:46,880 Speaker 1: human lens of saying, oh, guys, we got to look 582 00:28:46,880 --> 00:28:50,760 Speaker 1: around the corner. I can't stop thinking about AI companions 583 00:28:50,760 --> 00:28:55,520 Speaker 1: and young men, new generation of young men that don't 584 00:28:55,600 --> 00:28:58,400 Speaker 1: have to that haven't had to go through the friction 585 00:28:58,680 --> 00:29:01,640 Speaker 1: of having a crush on the girl getting rejected. And 586 00:29:01,680 --> 00:29:05,120 Speaker 1: we're in a different agent social media where okay, we've 587 00:29:05,200 --> 00:29:07,640 Speaker 1: now seen the outcome of us being in these filter 588 00:29:07,720 --> 00:29:10,600 Speaker 1: bubbles and having algorithms pushes towards people like us. 589 00:29:10,600 --> 00:29:13,080 Speaker 2: We have a harder time having a conversation now. 590 00:29:13,240 --> 00:29:16,720 Speaker 1: With each other, right, and people who have different viewpoints 591 00:29:16,840 --> 00:29:20,600 Speaker 1: now with artificial intelligence. This is an even more powerful 592 00:29:20,680 --> 00:29:24,360 Speaker 1: tool that has a capacity for exactly what you just described, 593 00:29:24,400 --> 00:29:26,760 Speaker 1: and I would love There aren't many studies that have 594 00:29:26,840 --> 00:29:30,120 Speaker 1: come out on AI companionship and young men, but there's 595 00:29:30,160 --> 00:29:32,880 Speaker 1: one that actually hasn't been published yet. But a friend 596 00:29:32,960 --> 00:29:35,880 Speaker 1: of mine, she's a computational social scientist who studies human 597 00:29:35,920 --> 00:29:37,200 Speaker 1: behavior and digital footprint. 598 00:29:37,240 --> 00:29:40,120 Speaker 2: She also happens to be a new mom as well, so. 599 00:29:40,720 --> 00:29:44,880 Speaker 1: We talk AI data and little humans too, and she 600 00:29:45,120 --> 00:29:47,560 Speaker 1: actually I asked her to send a little voice note 601 00:29:47,600 --> 00:29:49,880 Speaker 1: about a study that's coming out and emerging, and it 602 00:29:50,000 --> 00:29:52,240 Speaker 1: is so spot on to what you're talking about. So 603 00:29:52,280 --> 00:29:54,040 Speaker 1: I'd love to just play that and get your response. 604 00:29:54,480 --> 00:29:57,880 Speaker 4: So the signs of a companionship is still in its infancy, 605 00:29:57,920 --> 00:30:01,000 Speaker 4: I would say, but there are already some interesting patterns 606 00:30:01,000 --> 00:30:04,080 Speaker 4: that we're seeing. So, for example, there's more and more 607 00:30:04,120 --> 00:30:07,360 Speaker 4: evidence that, at least in the short term, using AI 608 00:30:07,400 --> 00:30:10,960 Speaker 4: companions can actually be quite beneficial for psychological well being 609 00:30:11,000 --> 00:30:14,520 Speaker 4: and loneliness. But what's interesting here is that the long 610 00:30:14,640 --> 00:30:17,960 Speaker 4: term impact could be more negative, especially when you look 611 00:30:18,040 --> 00:30:23,240 Speaker 4: beyond the individual who's actually using THEAI companion. The Reasons 612 00:30:23,560 --> 00:30:27,640 Speaker 4: study by MIKHAILA Rodriguez at the University of Michigan, for instance, 613 00:30:28,000 --> 00:30:30,920 Speaker 4: where they got young men to use an AI companion 614 00:30:30,960 --> 00:30:33,680 Speaker 4: for seven weeks, and what they found is that these 615 00:30:33,720 --> 00:30:37,120 Speaker 4: young men actually felt better after those seven weeks, but 616 00:30:37,160 --> 00:30:40,840 Speaker 4: they also became more sexist and aggressive, which you know, 617 00:30:41,400 --> 00:30:45,000 Speaker 4: isn't entirely surprising when you consider that these AI companions 618 00:30:45,040 --> 00:30:48,760 Speaker 4: are often intentionally designed to be somewhat submissive and to 619 00:30:48,840 --> 00:30:53,720 Speaker 4: provide this unconditional validation. So the challenge that I think 620 00:30:53,760 --> 00:30:58,240 Speaker 4: we're potentially facing here is that our expectations for what 621 00:30:58,400 --> 00:31:02,360 Speaker 4: human to human relationships should look like might shift over time, 622 00:31:03,040 --> 00:31:06,160 Speaker 4: and that's really the dynamic that we need to understand better. 623 00:31:06,960 --> 00:31:10,440 Speaker 4: Is it that AI companions help us feel less lonely 624 00:31:10,480 --> 00:31:13,479 Speaker 4: and more connected in the short term, but then they 625 00:31:13,520 --> 00:31:17,680 Speaker 4: actually prevent us from having more meaningful real world relationships, 626 00:31:17,720 --> 00:31:21,680 Speaker 4: which could obviously make us even more lonely and miserable 627 00:31:22,040 --> 00:31:22,840 Speaker 4: in the long run. 628 00:31:24,240 --> 00:31:26,480 Speaker 3: So my first reaction to that is, I don't think 629 00:31:26,520 --> 00:31:29,960 Speaker 3: the companions that the core changed the expectation of human 630 00:31:30,000 --> 00:31:34,640 Speaker 3: to human relationships. They inherently change our tolerance for the reality, 631 00:31:34,760 --> 00:31:38,760 Speaker 3: the emotional reality of human to human relationships. And so 632 00:31:39,240 --> 00:31:42,120 Speaker 3: the short term data that people feel better better is 633 00:31:42,320 --> 00:31:44,560 Speaker 3: it could be a tricky thing. You know, nobody says 634 00:31:44,560 --> 00:31:48,440 Speaker 3: I want someone to feel worse. But a lot of things, 635 00:31:48,440 --> 00:31:51,840 Speaker 3: most things that make us feel the most better in 636 00:31:51,880 --> 00:31:54,720 Speaker 3: the short term are the least good for us in 637 00:31:54,760 --> 00:31:56,520 Speaker 3: the long term. And I'll tell you what's coming to mind, 638 00:31:56,560 --> 00:31:59,960 Speaker 3: because I'll never forget this session I had with this 639 00:32:00,240 --> 00:32:01,880 Speaker 3: you know, I don't know. He's probably like a thirty 640 00:32:01,920 --> 00:32:03,480 Speaker 3: five year old guy. He started seeing me. He was 641 00:32:03,480 --> 00:32:06,720 Speaker 3: totally sober, but he had a long history of drugs, heroine, 642 00:32:06,800 --> 00:32:08,479 Speaker 3: and he you know, it was very hard for him 643 00:32:08,520 --> 00:32:12,360 Speaker 3: to tolerate distress in his life, especially relational distress. Really committed to, 644 00:32:13,400 --> 00:32:15,040 Speaker 3: you know, a sober life. And I remember just saying 645 00:32:15,040 --> 00:32:17,080 Speaker 3: to him, thereby's gonna help you. I just want to 646 00:32:17,080 --> 00:32:18,560 Speaker 3: be honest, It's gonna help you and to learn a lot. 647 00:32:19,320 --> 00:32:22,640 Speaker 3: What I teach you will never be as good as Heroin. 648 00:32:22,720 --> 00:32:24,680 Speaker 3: I just want to say that to you. It's never 649 00:32:24,920 --> 00:32:27,400 Speaker 3: like what I have in this room is not heroin. 650 00:32:27,560 --> 00:32:29,840 Speaker 3: Like like heroin from what I know of it, even 651 00:32:29,880 --> 00:32:32,640 Speaker 3: though I'm not a user, will take you from whatever 652 00:32:32,720 --> 00:32:37,160 Speaker 3: you're feeling high, you know, distress to totally numbing that out. 653 00:32:37,200 --> 00:32:39,920 Speaker 3: It is gone in a second. What I'm gonna teach 654 00:32:39,960 --> 00:32:42,480 Speaker 3: you is when you feel upset, something that feels like 655 00:32:42,520 --> 00:32:44,680 Speaker 3: a ten, it's not going to a zero. It'll go 656 00:32:44,720 --> 00:32:47,040 Speaker 3: to a nine and three quarters nine and a half. 657 00:32:47,080 --> 00:32:50,000 Speaker 3: The best it's gonna get in that whole first day 658 00:32:50,120 --> 00:32:53,440 Speaker 3: is an eight. I'm just gonna tell you what I 659 00:32:53,440 --> 00:32:54,000 Speaker 3: have to sell. 660 00:32:54,520 --> 00:32:54,680 Speaker 1: Now. 661 00:32:54,760 --> 00:32:57,040 Speaker 3: The good parts are you're not gonna have all the 662 00:32:57,160 --> 00:32:59,440 Speaker 3: negative stuff that was associated. Right, And we kind of 663 00:32:59,520 --> 00:33:02,120 Speaker 3: laughed about it, but if we were looking at what 664 00:33:02,240 --> 00:33:05,920 Speaker 3: made him feel better, we would say heroine all day long. 665 00:33:06,000 --> 00:33:08,640 Speaker 3: Now we know that that's not a good long term solution, 666 00:33:09,120 --> 00:33:11,280 Speaker 3: and I think we're talking about the same thing. So 667 00:33:11,320 --> 00:33:14,480 Speaker 3: I think when we're even looking at metrics like how 668 00:33:14,760 --> 00:33:20,040 Speaker 3: someone feels better is a really important part of a study, 669 00:33:20,440 --> 00:33:23,720 Speaker 3: not just the level to which they feel better. Something 670 00:33:23,720 --> 00:33:27,640 Speaker 3: that can make you feel from so bad to so good. 671 00:33:27,720 --> 00:33:31,040 Speaker 3: The faster it does that, the probably the worse it 672 00:33:31,080 --> 00:33:32,400 Speaker 3: is for you long term. 673 00:33:32,680 --> 00:33:35,280 Speaker 1: And that is what we're beginning to see with artificial intelligence. 674 00:33:35,320 --> 00:33:37,320 Speaker 1: In a nutshell, it's exactly It's so funny because it's 675 00:33:37,320 --> 00:33:40,280 Speaker 1: exactly what you explained before. She said that these are 676 00:33:40,280 --> 00:33:45,200 Speaker 1: the early results are showing this. I worry about young men, 677 00:33:45,280 --> 00:33:47,959 Speaker 1: and I worry a lot about children and artificial intelligence, 678 00:33:48,000 --> 00:33:51,520 Speaker 1: and I want to get into it before before we 679 00:33:51,760 --> 00:33:53,520 Speaker 1: end about kind of the positives, because I think there's 680 00:33:53,520 --> 00:33:56,960 Speaker 1: going to be some really interesting places. 681 00:33:57,360 --> 00:33:57,600 Speaker 3: One. 682 00:33:58,200 --> 00:34:00,640 Speaker 1: I love this idea of being able to have you 683 00:34:00,720 --> 00:34:04,400 Speaker 1: here and just like play stuff for you, because I 684 00:34:04,480 --> 00:34:07,320 Speaker 1: feel like I sometimes go into these dark corners of 685 00:34:07,400 --> 00:34:10,960 Speaker 1: the web, and so I would love, you know, to 686 00:34:11,600 --> 00:34:14,359 Speaker 1: talk a little bit about deep fakes and bullying with you, 687 00:34:14,360 --> 00:34:16,080 Speaker 1: because parents all the time are like, well, you say, 688 00:34:16,080 --> 00:34:17,640 Speaker 1: there are all these threats coming, what do we do? 689 00:34:18,320 --> 00:34:20,440 Speaker 1: And so now I'm like, okay, doctor Becky's with us. 690 00:34:20,440 --> 00:34:22,279 Speaker 1: So now I can say, here's what we can do. 691 00:34:22,600 --> 00:34:25,000 Speaker 1: This is a type of threat that's coming into schools. 692 00:34:25,000 --> 00:34:25,840 Speaker 2: And so I was wondering. 693 00:34:25,840 --> 00:34:28,000 Speaker 1: I know that at Good Inside you have these scripts 694 00:34:28,000 --> 00:34:30,600 Speaker 1: for all these scenarios that we face as parents and 695 00:34:30,680 --> 00:34:32,879 Speaker 1: how to talk to you know, how parents can talk 696 00:34:32,960 --> 00:34:34,560 Speaker 1: about them. So I'd love to kind of like live 697 00:34:34,680 --> 00:34:38,160 Speaker 1: collab on a script for these emerging harms when it 698 00:34:38,160 --> 00:34:40,960 Speaker 1: comes to AI and our children. So I'm going to 699 00:34:41,160 --> 00:34:43,960 Speaker 1: give you a scenario. A mom in Florida receives a 700 00:34:44,000 --> 00:34:46,919 Speaker 1: panic call from her eighth grade daughter during the school day. 701 00:34:47,239 --> 00:34:48,640 Speaker 1: She says, I need you to come pick me up 702 00:34:48,760 --> 00:34:52,000 Speaker 1: right now. I saw a picture of me naked, but 703 00:34:52,040 --> 00:34:54,360 Speaker 1: it's not really me, mom. She then goes on to 704 00:34:54,480 --> 00:34:57,040 Speaker 1: learn that two boys at her daughter's middle school had 705 00:34:57,080 --> 00:35:00,359 Speaker 1: exchanged new deep fake photos they made on an app 706 00:35:00,440 --> 00:35:03,960 Speaker 1: of more than fifteen classmates and teachers. The image might 707 00:35:04,000 --> 00:35:06,720 Speaker 1: not be real, but that impact surely feels real. 708 00:35:06,880 --> 00:35:08,719 Speaker 2: So I'm going to play the sound. This is from 709 00:35:08,760 --> 00:35:09,120 Speaker 2: her mother. 710 00:35:09,480 --> 00:35:13,480 Speaker 7: It was my daughter's face on this body with the 711 00:35:13,560 --> 00:35:17,440 Speaker 7: same skin color tone that I got nauseous and I 712 00:35:17,520 --> 00:35:22,879 Speaker 7: started crying because my kid had to see it first alone. 713 00:35:23,440 --> 00:35:27,959 Speaker 7: And the mentality of some people that, oh, well it's fake. Well, 714 00:35:28,160 --> 00:35:32,880 Speaker 7: the technology is so precise that the skin color and 715 00:35:32,960 --> 00:35:38,040 Speaker 7: the skin tone matched ninety nine point nine percent at 716 00:35:38,080 --> 00:35:41,560 Speaker 7: the time, she was thirteen. And we all know that, 717 00:35:41,760 --> 00:35:45,000 Speaker 7: you know, that's a really delicate age. 718 00:35:45,080 --> 00:35:46,520 Speaker 3: We've all been through puberty. 719 00:35:46,920 --> 00:35:49,240 Speaker 7: I would say ninety five ninety percent of us agree 720 00:35:49,280 --> 00:35:53,120 Speaker 7: it sucks. You know, there's the influences that you're a girl, 721 00:35:53,320 --> 00:35:55,480 Speaker 7: like how do you look? And you know, then there's 722 00:35:55,520 --> 00:35:58,440 Speaker 7: the boys and the hormones, and so this was just 723 00:35:58,560 --> 00:36:05,960 Speaker 7: like next love psychologically abuse a psychological abuse because it 724 00:36:06,000 --> 00:36:09,920 Speaker 7: wasn't physical, right, and it wasn't verbal. It was an 725 00:36:09,960 --> 00:36:13,720 Speaker 7: image right that she had to look at. But man, 726 00:36:14,000 --> 00:36:19,080 Speaker 7: it does really affect the victim and their families. 727 00:36:21,400 --> 00:36:24,239 Speaker 3: Oh my heart's racing and breaking at the same time. 728 00:36:25,160 --> 00:36:29,200 Speaker 3: It's horrible. Before I launched into like how I would respond, 729 00:36:29,239 --> 00:36:31,200 Speaker 3: I just always want a caveat, like I'm here in 730 00:36:31,760 --> 00:36:33,799 Speaker 3: a studio with you, like if this you know any 731 00:36:33,840 --> 00:36:36,200 Speaker 3: of us in these moments, like, yeah, none of us 732 00:36:36,200 --> 00:36:38,560 Speaker 3: are doing any of this quote perfectly, but I'll try 733 00:36:38,560 --> 00:36:41,080 Speaker 3: to respond just from like a framework. I think the 734 00:36:41,120 --> 00:36:42,600 Speaker 3: first thing I'd want to say to my daughter is 735 00:36:42,640 --> 00:36:45,640 Speaker 3: I will be right there, like you go pick your 736 00:36:45,719 --> 00:36:50,799 Speaker 3: daughter up from that school immediately. Again, I'm going back 737 00:36:50,800 --> 00:36:52,680 Speaker 3: to like I'm so glad she called her mom. That 738 00:36:52,719 --> 00:36:55,279 Speaker 3: says a lot about the relationship. When the hard things happen, 739 00:36:55,320 --> 00:36:57,960 Speaker 3: I can go toward, not away, and I would just 740 00:36:58,480 --> 00:37:00,920 Speaker 3: have her in the car and I would like drive 741 00:37:01,280 --> 00:37:03,560 Speaker 3: just far enough that like no one else can see 742 00:37:03,600 --> 00:37:05,560 Speaker 3: you mean, it's the side of the road, somewhere in private, 743 00:37:05,640 --> 00:37:08,280 Speaker 3: and park the car and saying, I am so glad 744 00:37:08,280 --> 00:37:10,759 Speaker 3: you called me. I'm here for you, we're gonna get 745 00:37:10,800 --> 00:37:13,800 Speaker 3: through this together, and then like shut your mouth. Shut 746 00:37:13,840 --> 00:37:16,319 Speaker 3: your mouth. I actually think like that's probably my number 747 00:37:16,400 --> 00:37:20,520 Speaker 3: one script for parents these days is stop talking. Stop talking. 748 00:37:21,239 --> 00:37:26,200 Speaker 3: And because I'm a visual person, like when your kid's 749 00:37:26,200 --> 00:37:29,880 Speaker 3: going through anything hard, they're kind of like this egg 750 00:37:29,920 --> 00:37:32,640 Speaker 3: without a shell. I find that like this very evocative image. 751 00:37:32,640 --> 00:37:36,000 Speaker 3: They're just that's how they feel. They're spread out all 752 00:37:36,040 --> 00:37:38,680 Speaker 3: over and what they need you to be is like 753 00:37:38,960 --> 00:37:42,480 Speaker 3: shell energy, but more than that, like a container. And 754 00:37:43,080 --> 00:37:44,920 Speaker 3: that's often what we are for our kids. We are 755 00:37:44,920 --> 00:37:49,160 Speaker 3: their container so they can have feelings and the awful experience. 756 00:37:49,200 --> 00:37:51,600 Speaker 3: There's no advice, Like what advice am I giving to 757 00:37:51,640 --> 00:37:54,200 Speaker 3: my kid right now? Like it's all gonna be empty, 758 00:37:54,280 --> 00:37:56,560 Speaker 3: and right now my kid is just probably hollowed out 759 00:37:56,640 --> 00:37:59,600 Speaker 3: there this egg without a shell, what's the crack in 760 00:37:59,640 --> 00:38:02,160 Speaker 3: the shell? Like this just they were just completely violated. 761 00:38:02,200 --> 00:38:04,560 Speaker 3: The way they thought the world works was just violated 762 00:38:04,560 --> 00:38:06,719 Speaker 3: in front of them, because it's like that's not even me, 763 00:38:06,840 --> 00:38:08,600 Speaker 3: by the way, and now it's all over and people 764 00:38:08,640 --> 00:38:11,120 Speaker 3: think it's me, and it's just such a violation of 765 00:38:11,200 --> 00:38:14,560 Speaker 3: expectations that your kid's gonna have, yeah, really big reaction 766 00:38:14,680 --> 00:38:18,520 Speaker 3: and feelings and this is not logical. It's not illogical. 767 00:38:18,800 --> 00:38:22,280 Speaker 3: People always say that emotions. Just because emotions aren't logical, 768 00:38:22,440 --> 00:38:26,280 Speaker 3: that doesn't mean they're illogical. Like Mandarin is not ill English, 769 00:38:26,320 --> 00:38:29,279 Speaker 3: it's just not English. There are two different systems, and 770 00:38:29,320 --> 00:38:31,520 Speaker 3: when your kid is in a big emotional state, that's 771 00:38:31,520 --> 00:38:33,520 Speaker 3: what you are. You are a container, so your words 772 00:38:33,560 --> 00:38:36,439 Speaker 3: serve to establish that container. I'm so glad you called 773 00:38:36,719 --> 00:38:38,839 Speaker 3: I am right here. We are going to get through 774 00:38:38,840 --> 00:38:41,120 Speaker 3: this together. That's kind of like I am that edge. 775 00:38:41,160 --> 00:38:43,400 Speaker 3: And then I'm just gonna let my kid freaking collapse 776 00:38:43,440 --> 00:38:46,040 Speaker 3: into me and say all the things and get it 777 00:38:46,080 --> 00:38:48,520 Speaker 3: all out, and I'm gonna hug her and I'm gonna 778 00:38:48,520 --> 00:38:50,479 Speaker 3: be there. I'm gonna stop myself from saying I'm calling 779 00:38:50,480 --> 00:38:52,919 Speaker 3: the school right away. Maybe I am later, but right 780 00:38:52,960 --> 00:39:03,200 Speaker 3: now my kid needs me to just really be with her. 781 00:39:07,480 --> 00:39:10,200 Speaker 1: It's so interesting because all of these scenarios that I 782 00:39:10,239 --> 00:39:13,120 Speaker 1: say to you, you have the most human advice for 783 00:39:13,719 --> 00:39:16,920 Speaker 1: And it's like me, as like a technology person, I'm like, 784 00:39:16,920 --> 00:39:19,839 Speaker 1: oh yeah, like people need to know the images aren't real, 785 00:39:19,880 --> 00:39:22,279 Speaker 1: but the impact is real. And oh, by the way, 786 00:39:22,320 --> 00:39:25,040 Speaker 1: when it comes to artificial intelligence, these are they mirror you, 787 00:39:25,080 --> 00:39:27,400 Speaker 1: and I almost want to explain this from a product 788 00:39:27,520 --> 00:39:31,319 Speaker 1: standpoint to help validate the child's feelings. And what I 789 00:39:31,360 --> 00:39:34,399 Speaker 1: love is that I am totally one hundred percent wrong 790 00:39:34,440 --> 00:39:37,480 Speaker 1: here and hearing you talk about it, you're like, you 791 00:39:37,640 --> 00:39:41,839 Speaker 1: deal with these new tech threats with the most important thing, 792 00:39:42,040 --> 00:39:44,000 Speaker 1: which is the container that makes us human. 793 00:39:44,520 --> 00:39:46,680 Speaker 3: Yeah, and look, I think, you know, I think that 794 00:39:46,840 --> 00:39:48,319 Speaker 3: I just have to say this because it's coming up 795 00:39:48,320 --> 00:39:51,600 Speaker 3: more and more. You're like, I'm just gonna say it 796 00:39:51,760 --> 00:39:55,040 Speaker 3: head on, Doctor Pecky. Do you ever worry that all 797 00:39:55,040 --> 00:39:58,120 Speaker 3: this parenting advice makes people just more anxious? This is 798 00:39:58,160 --> 00:40:00,920 Speaker 3: like my favorite question and min number one pet peeve. 799 00:40:02,000 --> 00:40:05,080 Speaker 3: Having a manager at work is helpful. Having fifty managers 800 00:40:05,080 --> 00:40:07,279 Speaker 3: at work would be very overwhelming. We live in a 801 00:40:07,320 --> 00:40:12,799 Speaker 3: world of fifty million parenting advice managers, right, And I 802 00:40:12,800 --> 00:40:14,360 Speaker 3: think the thing I just want to establish about what 803 00:40:14,440 --> 00:40:15,840 Speaker 3: I do and what we do a good inside. And 804 00:40:15,880 --> 00:40:17,960 Speaker 3: it is so important to make sure people know this 805 00:40:18,400 --> 00:40:22,160 Speaker 3: is not advice, it's not tips. It's actually the same foundations. 806 00:40:22,200 --> 00:40:24,920 Speaker 3: There's like nine foundations. We teach people how to apply 807 00:40:24,960 --> 00:40:26,640 Speaker 3: it to a million things. So when I hear deep 808 00:40:26,680 --> 00:40:29,880 Speaker 3: fakes honestly, it's it's this might sound weird, it's no 809 00:40:29,880 --> 00:40:31,719 Speaker 3: different than when your kid doesn't make the soccer team. 810 00:40:31,880 --> 00:40:34,560 Speaker 3: I'm not saying the situation is no different, but actually, 811 00:40:34,600 --> 00:40:37,239 Speaker 3: if we're always trying to learn a new system, when 812 00:40:37,320 --> 00:40:41,480 Speaker 3: every parenting situation changes, we are just adding our chaos 813 00:40:41,560 --> 00:40:43,480 Speaker 3: to our kids. Like, no one does that at work. 814 00:40:43,520 --> 00:40:45,320 Speaker 3: When you're in a job in your senior you're like, 815 00:40:45,320 --> 00:40:47,200 Speaker 3: hold on, let me come back to what I know. 816 00:40:47,280 --> 00:40:49,000 Speaker 3: How do I tend to work through projects? You're not 817 00:40:49,200 --> 00:40:52,240 Speaker 3: learning on the job every hour. And so the reason 818 00:40:52,280 --> 00:40:55,280 Speaker 3: I think it sounds human is actually what we're saying, 819 00:40:55,480 --> 00:40:57,799 Speaker 3: at least in the moment, has nothing to do with 820 00:40:57,840 --> 00:41:00,680 Speaker 3: deep fakes. It has to do with something violated happening. 821 00:41:01,040 --> 00:41:03,239 Speaker 3: My kid didn't think this was going to happen. It 822 00:41:03,239 --> 00:41:06,400 Speaker 3: was a huge surprise. It's awful. It's exposing when you 823 00:41:06,400 --> 00:41:10,680 Speaker 3: don't want to. That's actually probably in your body, a 824 00:41:10,680 --> 00:41:12,560 Speaker 3: more extreme version of what happens when a kid thinks 825 00:41:12,600 --> 00:41:14,200 Speaker 3: are getting the lead in the play at age five 826 00:41:14,239 --> 00:41:16,000 Speaker 3: and they go to the list and their name's not there. 827 00:41:16,280 --> 00:41:17,960 Speaker 3: And if we can see it through that lens, you're right, 828 00:41:18,000 --> 00:41:20,560 Speaker 3: not only is it human, but it actually feels a 829 00:41:20,600 --> 00:41:23,040 Speaker 3: little easier. You're like, oh, I kind of did that 830 00:41:23,040 --> 00:41:24,640 Speaker 3: when my kid was five for the play, and then 831 00:41:24,680 --> 00:41:27,359 Speaker 3: when my kid was eight for soccer, and I guess 832 00:41:27,360 --> 00:41:29,000 Speaker 3: now I'm doing it with the deep fake thing. But 833 00:41:29,520 --> 00:41:31,440 Speaker 3: kind of my approach is remarkably consistent. 834 00:41:31,640 --> 00:41:33,719 Speaker 1: I actually feel like it's the most comforting thing I've 835 00:41:33,719 --> 00:41:37,040 Speaker 1: heard in a long time of looking through these threats, 836 00:41:37,200 --> 00:41:39,920 Speaker 1: kind of these like cutting edge threats of AI companions 837 00:41:39,960 --> 00:41:42,920 Speaker 1: and deep fakes. Like just this idea that like, oh, 838 00:41:43,080 --> 00:41:45,960 Speaker 1: this thing we can apply is like really the scaffolding 839 00:41:45,960 --> 00:41:48,160 Speaker 1: of what it's scaffolding, you know, And it's such a 840 00:41:48,160 --> 00:41:51,400 Speaker 1: beautiful sentiment. I think a lot of parents would breathe 841 00:41:51,440 --> 00:41:53,640 Speaker 1: a little bit of a sigh of relief. I know, 842 00:41:53,719 --> 00:41:55,279 Speaker 1: we kind of we have to ensue, and I really 843 00:41:55,320 --> 00:41:57,800 Speaker 1: want to get to some of the positives about artificial 844 00:41:57,800 --> 00:42:01,600 Speaker 1: intelligence because I think we're similar and that we both 845 00:42:01,640 --> 00:42:05,040 Speaker 1: can look at the concerns around technology. But also you 846 00:42:05,120 --> 00:42:09,279 Speaker 1: have Gigi, which is like an AI app modeled after you, right, 847 00:42:09,760 --> 00:42:12,239 Speaker 1: and so much of the advice because I genuinely believe 848 00:42:12,280 --> 00:42:15,239 Speaker 1: AI can be so powerful. So I'm going to play 849 00:42:15,280 --> 00:42:19,200 Speaker 1: one last sound from a friend of mine about AI 850 00:42:19,239 --> 00:42:23,520 Speaker 1: and parenting, and so we can hopefully end on a 851 00:42:23,600 --> 00:42:26,359 Speaker 1: note of how we can actually see promise in this. 852 00:42:27,160 --> 00:42:29,920 Speaker 6: Hi, doctor Becky, I am so excited that I get 853 00:42:30,000 --> 00:42:32,640 Speaker 6: to ask you this question. I'm very grateful that my 854 00:42:32,719 --> 00:42:36,040 Speaker 6: dear friend Laurie provided me with this opportunity. I admire 855 00:42:36,080 --> 00:42:38,120 Speaker 6: the work that you do, and to be quite honest, 856 00:42:38,200 --> 00:42:40,879 Speaker 6: my therapist and I reference you frequently when we are 857 00:42:40,880 --> 00:42:44,120 Speaker 6: discussing motherhood and parenting. I know that there is a 858 00:42:44,200 --> 00:42:47,000 Speaker 6: lot of scary stuff out there for children in regards 859 00:42:47,000 --> 00:42:50,239 Speaker 6: to technology and AI, but my question comes from looking 860 00:42:50,280 --> 00:42:52,680 Speaker 6: at the positive side of it. I am a stay 861 00:42:52,680 --> 00:42:54,640 Speaker 6: at home mom and being a good mother is one 862 00:42:54,680 --> 00:42:57,000 Speaker 6: of the most important things in my life, so I'm 863 00:42:57,040 --> 00:42:59,520 Speaker 6: always looking to grow in it. How do you see 864 00:42:59,640 --> 00:43:03,280 Speaker 6: or technology and AI as a tool to better myself 865 00:43:03,320 --> 00:43:05,760 Speaker 6: as a mother to my child and for that matter, 866 00:43:05,840 --> 00:43:08,960 Speaker 6: as a family that includes my husband, daughter, and myself 867 00:43:09,120 --> 00:43:12,839 Speaker 6: and obviously our dog too. Thank you so much love 868 00:43:12,840 --> 00:43:14,240 Speaker 6: from Atlanta from Jackie. 869 00:43:16,800 --> 00:43:19,600 Speaker 3: Look, I actually think this is similar to how we 870 00:43:19,600 --> 00:43:21,680 Speaker 3: were talking about the other question with AI. When is 871 00:43:21,719 --> 00:43:24,000 Speaker 3: it helpful? When are their diminishing returns? And when does 872 00:43:24,000 --> 00:43:26,040 Speaker 3: something start to work more against you? Than for you. 873 00:43:26,200 --> 00:43:28,840 Speaker 3: So AI is great. You have a quick question, what 874 00:43:28,880 --> 00:43:30,719 Speaker 3: do I say when my kid gets off the bus 875 00:43:30,719 --> 00:43:34,480 Speaker 3: and this thing happens? Right, whether you go to CHATCHYBT 876 00:43:34,719 --> 00:43:37,359 Speaker 3: or Claude or you're in our app like you know, 877 00:43:37,560 --> 00:43:40,120 Speaker 3: and with our AI, you're gonna get a helpful answer, 878 00:43:40,120 --> 00:43:43,479 Speaker 3: and that can be so grounding. You're kind of running around, 879 00:43:43,560 --> 00:43:45,000 Speaker 3: You're like, wait, this thing just helped me have this 880 00:43:45,080 --> 00:43:48,759 Speaker 3: moment when I felt like a million bucks right to me. 881 00:43:48,840 --> 00:43:51,520 Speaker 3: The image I think about a lot with parenting. This 882 00:43:51,600 --> 00:43:53,600 Speaker 3: to me is when it stops being helpful and starts 883 00:43:53,600 --> 00:43:55,759 Speaker 3: being harmful is we're living in this world now with 884 00:43:55,800 --> 00:43:59,279 Speaker 3: like a million tips or a million CHATCHYBT answers, and 885 00:43:59,320 --> 00:44:03,960 Speaker 3: I picture them all flags. Flags don't get you far 886 00:44:04,200 --> 00:44:07,120 Speaker 3: if you don't have a ground to put them in. 887 00:44:08,200 --> 00:44:10,960 Speaker 3: You just have a lot of flags. And you're like, 888 00:44:11,120 --> 00:44:13,240 Speaker 3: I'm gonna try this thing, and my kid's not sleeping, 889 00:44:13,280 --> 00:44:15,319 Speaker 3: so I'm gonna say this thing, and I'm gonna do 890 00:44:15,400 --> 00:44:18,000 Speaker 3: this thing, and you don't, like, you don't have a why, 891 00:44:18,560 --> 00:44:22,640 Speaker 3: You don't actually understand if it helps, why it helped. Again, 892 00:44:22,760 --> 00:44:24,399 Speaker 3: you don't have a way of saying, I know why 893 00:44:24,440 --> 00:44:26,600 Speaker 3: this helped, and this is actually something I can repeat 894 00:44:27,080 --> 00:44:29,640 Speaker 3: as my kid's life changes, and so I can become 895 00:44:29,760 --> 00:44:33,719 Speaker 3: more and more dependent on an AI, which actually can 896 00:44:33,800 --> 00:44:35,800 Speaker 3: lead me not in one moment, but as a pattern 897 00:44:35,800 --> 00:44:38,360 Speaker 3: of moment. Not way to feel frantic, but to me, 898 00:44:38,440 --> 00:44:41,239 Speaker 3: this is the worst part of parenting. I just feel 899 00:44:41,239 --> 00:44:44,120 Speaker 3: like I've lost myself. We have all built up so 900 00:44:44,320 --> 00:44:47,000 Speaker 3: much from an adaptive place in our childhood, but it's 901 00:44:47,000 --> 00:44:49,080 Speaker 3: a lot of stuff in our adulthood that makes us 902 00:44:49,120 --> 00:44:53,080 Speaker 3: doubt ourselves, that makes us think, oh, someone else knows better, right. 903 00:44:53,440 --> 00:44:55,720 Speaker 3: I actually think so much of parenthood is like finding 904 00:44:55,760 --> 00:44:59,160 Speaker 3: the right guide to like kind of clear that out 905 00:44:59,480 --> 00:45:03,239 Speaker 3: and return to yourself where you're not just going to 906 00:45:03,280 --> 00:45:05,160 Speaker 3: a chat all the time saying what do I do? 907 00:45:05,280 --> 00:45:08,200 Speaker 3: When we're able to kind of say in a moment, okay, 908 00:45:08,440 --> 00:45:11,359 Speaker 3: I kind of understand what's going on, right, or if 909 00:45:11,360 --> 00:45:13,600 Speaker 3: you are even going, it's to help you think through 910 00:45:13,640 --> 00:45:17,000 Speaker 3: how to understand something, which is almost the opposite of 911 00:45:17,080 --> 00:45:19,719 Speaker 3: just collecting hundreds of flags and not having the ground 912 00:45:19,760 --> 00:45:21,920 Speaker 3: to plant them in. And so I guess my barometer 913 00:45:22,000 --> 00:45:23,719 Speaker 3: and what we always talk about a good inside is 914 00:45:24,560 --> 00:45:26,000 Speaker 3: I'm just gonna say this here I've been talking about 915 00:45:26,000 --> 00:45:27,560 Speaker 3: this term a lot, but I've never said it out 916 00:45:27,560 --> 00:45:31,400 Speaker 3: loud to anyone else. Now's the time, Okay, is called MVA. 917 00:45:31,719 --> 00:45:34,960 Speaker 3: Minimum viable advice. Uh huh, that's what we give people. 918 00:45:35,440 --> 00:45:37,759 Speaker 3: Everyone needs a little bit of advice or information. But 919 00:45:37,920 --> 00:45:40,399 Speaker 3: most of what's happening in a parenting situation that's hard 920 00:45:40,960 --> 00:45:44,800 Speaker 3: isn't the moment. It's our fear about what the moment means. 921 00:45:45,200 --> 00:45:47,280 Speaker 3: It's the way we take a moment and fast forward 922 00:45:47,320 --> 00:45:49,879 Speaker 3: our kid's life twenty years. And that's actually what we're 923 00:45:49,880 --> 00:45:53,799 Speaker 3: thinking about. And it's why a typical chat doesn't even 924 00:45:53,800 --> 00:45:56,080 Speaker 3: make us feel better over time, because we're not actually 925 00:45:56,120 --> 00:45:57,919 Speaker 3: looking for the thing to do in the moment. We're 926 00:45:57,960 --> 00:46:00,640 Speaker 3: actually scared of what it means. We're scared of the 927 00:46:00,680 --> 00:46:02,759 Speaker 3: story we're telling ourselves about what it means, and we're 928 00:46:02,760 --> 00:46:04,360 Speaker 3: scared about who our kid is going to be in 929 00:46:04,400 --> 00:46:06,600 Speaker 3: twenty years. And someone just saying what to say when 930 00:46:06,600 --> 00:46:08,360 Speaker 3: your kids get off the bus, we're like, Okay, I 931 00:46:08,360 --> 00:46:10,799 Speaker 3: did that, but why because that's not actually the core thing. 932 00:46:11,120 --> 00:46:13,239 Speaker 3: So when I think about minimum viable advice, sure we 933 00:46:13,239 --> 00:46:16,120 Speaker 3: all need a little guidance here there, but actually we 934 00:46:16,120 --> 00:46:18,680 Speaker 3: need to better understand what is really happening. What are 935 00:46:18,680 --> 00:46:20,879 Speaker 3: my frameworks like, what's actually going on for my kid? 936 00:46:20,880 --> 00:46:23,040 Speaker 3: What am I actually worried about? How can I understand that? 937 00:46:23,560 --> 00:46:26,520 Speaker 3: When we unpack that, that's what helps us feel more 938 00:46:26,560 --> 00:46:29,360 Speaker 3: grounded and steadier. And I think the ultimate measure in 939 00:46:29,440 --> 00:46:32,319 Speaker 3: parenting is saying I can handle anything that comes my way. 940 00:46:32,480 --> 00:46:34,560 Speaker 3: I'm not scared of the grocery store meltdown. I'm not 941 00:46:34,600 --> 00:46:36,799 Speaker 3: scared of the lie. I'm not scared of the time 942 00:46:36,840 --> 00:46:38,879 Speaker 3: my kid says I'm not listening to anymore. I'm too big. 943 00:46:38,920 --> 00:46:40,640 Speaker 3: I don't care. You know, I don't have to. I 944 00:46:40,840 --> 00:46:43,440 Speaker 3: know what those moments are about. That's the biggest flex 945 00:46:43,520 --> 00:46:45,320 Speaker 3: is not that everything is smooth and not that you 946 00:46:45,320 --> 00:46:48,200 Speaker 3: always have the answer, but you're not actually scared of 947 00:46:48,239 --> 00:46:51,120 Speaker 3: the thing around the corner. And none of that will 948 00:46:51,120 --> 00:46:53,439 Speaker 3: come from a lot of tips. I actually think tip 949 00:46:53,480 --> 00:46:56,120 Speaker 3: after tip after tip without a foundation probably gets this 950 00:46:56,239 --> 00:46:58,239 Speaker 3: further away from that, And so to me, that's the 951 00:46:58,280 --> 00:47:00,759 Speaker 3: way I would kind of use a barameter about whether 952 00:47:00,840 --> 00:47:02,160 Speaker 3: something is helpful long term. 953 00:47:02,200 --> 00:47:04,520 Speaker 1: First of all, I love hearing how you talk about 954 00:47:04,560 --> 00:47:08,920 Speaker 1: like MVA. You're speaking tech terms in myg but in 955 00:47:09,080 --> 00:47:12,480 Speaker 1: apparenting scaffolding, which I just love you talked about like foundation. 956 00:47:13,480 --> 00:47:14,359 Speaker 2: I know we have to end. 957 00:47:14,400 --> 00:47:16,600 Speaker 1: I just want to say so much of launching the show, 958 00:47:16,640 --> 00:47:18,960 Speaker 1: which is about tech in humans. I've spent my career 959 00:47:19,000 --> 00:47:22,720 Speaker 1: interviewing folks in Silicon Valley and I am so excited 960 00:47:22,760 --> 00:47:26,600 Speaker 1: to launch this by talking to someone about humanity through 961 00:47:26,640 --> 00:47:27,400 Speaker 1: the lens of tech. 962 00:47:27,440 --> 00:47:28,960 Speaker 2: That's just always kind of been the goal. 963 00:47:29,040 --> 00:47:31,919 Speaker 1: And I think our children, in the world they grow 964 00:47:32,040 --> 00:47:33,520 Speaker 1: up in with AI is going to be one of 965 00:47:33,520 --> 00:47:37,719 Speaker 1: the most important questions that we answer. And so my 966 00:47:37,800 --> 00:47:40,960 Speaker 1: last question to you, I know it's personal to me. 967 00:47:41,160 --> 00:47:42,719 Speaker 1: I've always just kind of wanted to make the world 968 00:47:42,760 --> 00:47:45,680 Speaker 1: feel a little bit less alone, and I feel like you. 969 00:47:45,880 --> 00:47:48,440 Speaker 1: I feel that from you as well. But why is 970 00:47:48,440 --> 00:47:49,600 Speaker 1: this mission personal to you? 971 00:47:51,480 --> 00:47:52,839 Speaker 3: I mean, I guess at the end of the day, 972 00:47:52,880 --> 00:47:56,000 Speaker 3: the world is is just a collection of humans doing 973 00:47:56,040 --> 00:47:59,080 Speaker 3: the best they can with the resources they have available 974 00:47:59,200 --> 00:48:04,040 Speaker 3: and as impacted by the health of the connections and 975 00:48:04,120 --> 00:48:08,120 Speaker 3: relationships they have. And you know, I'm probably a short 976 00:48:08,160 --> 00:48:12,319 Speaker 3: term pessimist and long term optimist and think that as 977 00:48:12,360 --> 00:48:15,560 Speaker 3: parents have more resources, as parents return to themselves, as 978 00:48:15,600 --> 00:48:17,239 Speaker 3: we can show up for our kids in a way 979 00:48:17,280 --> 00:48:20,240 Speaker 3: we're proud of more often and repair the other times. 980 00:48:21,840 --> 00:48:26,399 Speaker 3: That's that's the only way that we can actually leave 981 00:48:26,400 --> 00:48:29,480 Speaker 3: the next generation in a better place than ours, and 982 00:48:29,560 --> 00:48:30,640 Speaker 3: nothing better more than that. 983 00:48:31,160 --> 00:48:33,080 Speaker 2: Amazing, great, Thank you so much. 984 00:48:35,000 --> 00:48:38,000 Speaker 1: Mostly Human is a production of iHeart Podcasts and mostly 985 00:48:38,080 --> 00:48:42,280 Speaker 1: human Media. It's produced and edited by Lori Siegel, Lauren Hanson, 986 00:48:42,320 --> 00:48:45,760 Speaker 1: and Nicole Bouchet. Sound design and mixing by Derek Clements. 987 00:48:46,080 --> 00:48:49,480 Speaker 1: Special thanks to Mark Weinhaus. Find us on all socials 988 00:48:49,520 --> 00:48:52,560 Speaker 1: at mostly human Media. You can also watch mostly Human 989 00:48:52,640 --> 00:48:54,879 Speaker 1: on our YouTube page. If you want to get in touch, 990 00:48:55,000 --> 00:48:58,319 Speaker 1: email comments at mostly human dot com. And if you 991 00:48:58,440 --> 00:49:01,040 Speaker 1: like what you hear, please raise, interview the show, and 992 00:49:01,040 --> 00:49:01,960 Speaker 1: share it with your friends. 993 00:49:02,040 --> 00:49:02,759 Speaker 2: See you next week.