1 00:00:09,560 --> 00:00:13,840 Speaker 1: Hi. I'm Laura Vanderkamp. I'm a mother of five, an author, journalist, 2 00:00:13,880 --> 00:00:14,440 Speaker 1: and speaker. 3 00:00:15,320 --> 00:00:19,120 Speaker 2: And I'm Sarah hart Hunger, a mother of three, practicing physician, writer, 4 00:00:19,440 --> 00:00:22,280 Speaker 2: and course creator. We are two working parents who love 5 00:00:22,320 --> 00:00:24,000 Speaker 2: our careers and our families. 6 00:00:24,720 --> 00:00:27,360 Speaker 1: Welcome to best of both worlds. Here we talk about 7 00:00:27,360 --> 00:00:30,360 Speaker 1: how real women manage work, family, and time for fun. 8 00:00:30,880 --> 00:00:34,200 Speaker 1: From figuring out childcare to mapping out long term career goals. 9 00:00:34,440 --> 00:00:39,320 Speaker 1: We want you to get the most out of life. 10 00:00:41,159 --> 00:00:43,720 Speaker 1: Welcome to best of both worlds. This is Laura. This 11 00:00:43,840 --> 00:00:46,680 Speaker 1: episode is airing in mid June of twenty twenty five. 12 00:00:47,200 --> 00:00:49,479 Speaker 1: I am going to be interviewing Rachel fold Cohen, who 13 00:00:49,560 --> 00:00:52,680 Speaker 1: is the co founder and CEO of Silicon Society, which 14 00:00:52,760 --> 00:00:56,920 Speaker 1: is an ed tech company focused on creating personalized learning 15 00:00:56,960 --> 00:01:01,560 Speaker 1: experiences involving AI. She's a mom of three and also 16 00:01:01,720 --> 00:01:04,600 Speaker 1: just generally likes to talk about bringing best practices from 17 00:01:04,640 --> 00:01:08,200 Speaker 1: the tech world into family life and kind of vice versa, 18 00:01:08,240 --> 00:01:12,000 Speaker 1: bringing best practices from family life into the world of 19 00:01:12,640 --> 00:01:15,720 Speaker 1: tech companies. So we'll talk a little bit about that 20 00:01:15,840 --> 00:01:19,920 Speaker 1: and you know, unique ways that parents can make a 21 00:01:19,920 --> 00:01:23,360 Speaker 1: good run of it in tech companies. So yeah, we 22 00:01:23,400 --> 00:01:26,520 Speaker 1: talk about that, but we wanted to open this episode 23 00:01:26,600 --> 00:01:28,400 Speaker 1: by talking a little bit about the tech that we 24 00:01:28,480 --> 00:01:33,800 Speaker 1: are currently using in our lives. Sarah actually created a 25 00:01:33,840 --> 00:01:37,520 Speaker 1: lovely top ten list of the apps that apps that 26 00:01:37,600 --> 00:01:41,479 Speaker 1: are on shoes top you know, home screen right now. 27 00:01:41,959 --> 00:01:44,000 Speaker 2: Yeah, I mean I was thinking about, like what was 28 00:01:44,000 --> 00:01:45,960 Speaker 2: funny because and we're not going to be negative on 29 00:01:46,000 --> 00:01:48,240 Speaker 2: this episode, but my husband was like fantasizing about getting 30 00:01:48,240 --> 00:01:50,120 Speaker 2: something called like a light phone, which has less apps 31 00:01:50,160 --> 00:01:51,960 Speaker 2: on it, and I'm like, no, there are certain apps 32 00:01:51,960 --> 00:01:53,800 Speaker 2: on my phone that like I do not really want 33 00:01:54,000 --> 00:01:57,680 Speaker 2: to not have in my life. So then I thought 34 00:01:57,680 --> 00:02:00,240 Speaker 2: about what are the most essential things that I would 35 00:02:00,240 --> 00:02:02,280 Speaker 2: just be like devastated. And Laura's going to mention one 36 00:02:02,280 --> 00:02:04,640 Speaker 2: of them, which I agree with, is probably my top app. 37 00:02:04,640 --> 00:02:06,320 Speaker 2: But I'll let her talk about that one. But I 38 00:02:06,360 --> 00:02:09,080 Speaker 2: don't know my top like ten apps. I need the 39 00:02:09,120 --> 00:02:12,400 Speaker 2: weather app and some way of like monitoring for thunderstorms. 40 00:02:12,560 --> 00:02:15,040 Speaker 1: So do you have something special for like when the 41 00:02:15,040 --> 00:02:17,400 Speaker 1: thunderstorm hits, Because there's some that are more specific, right 42 00:02:17,400 --> 00:02:19,960 Speaker 1: than like that native weather app. I have weather Bug. 43 00:02:21,280 --> 00:02:23,400 Speaker 2: It's free and it will show like where the lightning 44 00:02:23,440 --> 00:02:24,560 Speaker 2: bolts are specifically. 45 00:02:24,600 --> 00:02:30,160 Speaker 1: It's great. I have tray mind right now. Sometimes it is. 46 00:02:30,600 --> 00:02:33,840 Speaker 2: I have tray Mind or to track my invisil line 47 00:02:33,919 --> 00:02:37,840 Speaker 2: or aligner progress. Really like that. You guys know, I 48 00:02:37,919 --> 00:02:41,800 Speaker 2: love you need a budget app. Use that constantly. I 49 00:02:41,840 --> 00:02:43,920 Speaker 2: will say big shout out to the fact that you 50 00:02:43,960 --> 00:02:46,600 Speaker 2: can deposit a check on your phone, Like that was 51 00:02:46,600 --> 00:02:48,880 Speaker 2: an annoying errand we had to do for years and 52 00:02:48,880 --> 00:02:51,280 Speaker 2: then like maybe a decade or so ago, you could 53 00:02:51,320 --> 00:02:52,680 Speaker 2: do it on your phone. So I have the Wells 54 00:02:52,680 --> 00:02:56,560 Speaker 2: Fargo app for check depositing. What's App is a great 55 00:02:57,320 --> 00:03:00,120 Speaker 2: kind of I really like it for I mean, it's 56 00:03:00,160 --> 00:03:03,040 Speaker 2: not my choice, but for school it's definitely to go 57 00:03:03,080 --> 00:03:05,840 Speaker 2: to app for classrooms and a bunch of activities. And 58 00:03:05,919 --> 00:03:08,160 Speaker 2: what I mean by not my choice is like the teachers, 59 00:03:08,200 --> 00:03:09,760 Speaker 2: the ones that make that choice. But I'm just so 60 00:03:09,880 --> 00:03:12,640 Speaker 2: glad that, like regionally, what's Up seems to be what 61 00:03:12,680 --> 00:03:15,320 Speaker 2: everyone uses and not like a social media app. Since 62 00:03:15,480 --> 00:03:17,400 Speaker 2: I don't really like going to social media. I have 63 00:03:17,600 --> 00:03:20,720 Speaker 2: yet to be forced to join Facebook for some sort 64 00:03:20,720 --> 00:03:25,040 Speaker 2: of activity. It's always WhatsApp, So that's great headspace for 65 00:03:25,120 --> 00:03:25,840 Speaker 2: my meditation. 66 00:03:26,040 --> 00:03:27,200 Speaker 1: Use that almost every day. 67 00:03:27,800 --> 00:03:30,000 Speaker 2: I do use the high q app, which is Epics 68 00:03:30,600 --> 00:03:32,040 Speaker 2: mobile app. 69 00:03:32,560 --> 00:03:34,040 Speaker 1: I use it mostly when I'm on call. 70 00:03:34,240 --> 00:03:38,080 Speaker 2: I generally access that via the desktop because it's frustrating 71 00:03:38,080 --> 00:03:39,840 Speaker 2: to like see patient messages on your phone. But then 72 00:03:39,880 --> 00:03:41,560 Speaker 2: I'm not going to like respond to a patient message 73 00:03:41,600 --> 00:03:43,600 Speaker 2: on my phone. That would take forever. So I try 74 00:03:43,600 --> 00:03:45,840 Speaker 2: to only use that for like when I have to. 75 00:03:45,960 --> 00:03:48,480 Speaker 2: But it's I'm glad that it exists. The Due Lingo 76 00:03:48,520 --> 00:03:51,320 Speaker 2: app is very helpful. The New York Times Games app. 77 00:03:51,360 --> 00:03:52,800 Speaker 2: I didn't used to use this through the app. I 78 00:03:52,840 --> 00:03:54,680 Speaker 2: just like went to the site. But the other day 79 00:03:54,720 --> 00:03:57,080 Speaker 2: I was like, I'm going to treat myself to a subscription, 80 00:03:57,160 --> 00:03:58,720 Speaker 2: and then I got the app and it's been fun. 81 00:03:59,160 --> 00:04:02,320 Speaker 2: And then finally maybe a controversial pick. I do like 82 00:04:02,400 --> 00:04:05,640 Speaker 2: Life three sixty because then I can see where everybody is. 83 00:04:05,920 --> 00:04:08,080 Speaker 2: It's actually my favorite use of it is not stalking 84 00:04:08,160 --> 00:04:12,280 Speaker 2: my children, although that is helpful, but being able to 85 00:04:12,320 --> 00:04:15,880 Speaker 2: not nag my husband because I'll be waiting for him 86 00:04:15,960 --> 00:04:17,640 Speaker 2: and then I won't be able to know if he's 87 00:04:17,680 --> 00:04:19,800 Speaker 2: on his way. But this way I can tell if 88 00:04:19,800 --> 00:04:21,520 Speaker 2: he's on his way, So actually, I guess it enables 89 00:04:21,560 --> 00:04:23,640 Speaker 2: me to nag him if he hasn't left yet for something. 90 00:04:23,640 --> 00:04:26,320 Speaker 2: That I know is going to make us late, but like, yeah, 91 00:04:26,320 --> 00:04:28,960 Speaker 2: it's great Life three sixty, very helpful. 92 00:04:31,200 --> 00:04:33,640 Speaker 1: I might it's been helpful, yeah, for I don't have that, 93 00:04:34,000 --> 00:04:35,880 Speaker 1: but knowing where the kids' phones are. If they're like 94 00:04:35,920 --> 00:04:37,480 Speaker 1: telling you when they're going to need to be picked 95 00:04:37,560 --> 00:04:39,680 Speaker 1: up and their time estimation is way off, I'm like, 96 00:04:39,720 --> 00:04:42,000 Speaker 1: I can see that the bus is like not where 97 00:04:42,000 --> 00:04:45,200 Speaker 1: you're saying it is, and it's like a real time update. 98 00:04:45,440 --> 00:04:47,880 Speaker 2: Because you just use like find my is that howbeit okay, 99 00:04:47,920 --> 00:04:48,960 Speaker 2: it's the same same deal. 100 00:04:49,160 --> 00:04:51,560 Speaker 1: Yeah, although I don't have that on my phone as 101 00:04:51,640 --> 00:04:54,880 Speaker 1: my husband has the account for their phones, so he's 102 00:04:54,920 --> 00:04:58,080 Speaker 1: the one finding them, so but he'll report back. I 103 00:04:58,120 --> 00:05:00,720 Speaker 1: would say, just like in general online ski I mean, 104 00:05:00,760 --> 00:05:03,520 Speaker 1: whether that's through an app or just through their website, 105 00:05:03,520 --> 00:05:05,760 Speaker 1: but something like restaurants, being able to look at multiple 106 00:05:05,760 --> 00:05:08,240 Speaker 1: restaurants on open table and see availability is just so 107 00:05:08,320 --> 00:05:12,159 Speaker 1: infinitely more efficient, like or your doctor has it, or 108 00:05:12,200 --> 00:05:14,680 Speaker 1: even you know a app like ZocDoc if you're not 109 00:05:14,800 --> 00:05:17,279 Speaker 1: you know, you're just trying to find somebody new and 110 00:05:17,320 --> 00:05:20,479 Speaker 1: you know, see who has availability. We use park Whiz 111 00:05:21,360 --> 00:05:23,240 Speaker 1: when we drive into New York City, which again is 112 00:05:23,279 --> 00:05:28,400 Speaker 1: also a game changer of finding a garage that the 113 00:05:28,440 --> 00:05:32,640 Speaker 1: price differential is ridiculous. Like we parked in one where 114 00:05:32,680 --> 00:05:35,680 Speaker 1: the base rate was twenty one dollars for the evening 115 00:05:35,720 --> 00:05:38,039 Speaker 1: when we went in a couple weeks ago for Jasper's birthday, 116 00:05:38,360 --> 00:05:40,640 Speaker 1: and literally one that was two blocks away was sixty 117 00:05:40,720 --> 00:05:43,000 Speaker 1: dollars for the same thing. And it's just like, you 118 00:05:43,000 --> 00:05:46,159 Speaker 1: would have no transparency on this unless you like pulled 119 00:05:46,200 --> 00:05:47,960 Speaker 1: in and asked, and by the time you're pulling in, 120 00:05:48,040 --> 00:05:50,200 Speaker 1: you're probably not pulling out because it's kind of like 121 00:05:50,279 --> 00:05:53,000 Speaker 1: a pain. And then to leave the garage once you're 122 00:05:53,000 --> 00:05:54,520 Speaker 1: in it, you don't know if there's somewhere around this 123 00:05:54,680 --> 00:05:56,440 Speaker 1: batter And now you do and you know you can 124 00:05:56,480 --> 00:06:01,640 Speaker 1: get a spot. It's like just so much better than 125 00:06:01,760 --> 00:06:05,080 Speaker 1: in the past. Map and traffic apps, oh my goodness, 126 00:06:05,080 --> 00:06:07,719 Speaker 1: not perfect either. But I was thinking about this the 127 00:06:07,760 --> 00:06:10,280 Speaker 1: other night. I was coming home from a rehearsal. I 128 00:06:10,360 --> 00:06:13,640 Speaker 1: was nine thirty at night. So normally I seventy six 129 00:06:13,680 --> 00:06:17,400 Speaker 1: has horrible traffic during the day in Philadelphia, but rarely 130 00:06:17,480 --> 00:06:19,840 Speaker 1: at nine thirty at night, Like you would be surprised 131 00:06:19,920 --> 00:06:22,320 Speaker 1: to see traffic on I seventy six, So I would 132 00:06:22,320 --> 00:06:25,200 Speaker 1: have normally just gone on it, but I happened to 133 00:06:25,279 --> 00:06:28,040 Speaker 1: look at the traffic app and there was something ridiculous, 134 00:06:28,080 --> 00:06:30,039 Speaker 1: like something had happened. Who knows, like if they were 135 00:06:30,360 --> 00:06:33,080 Speaker 1: repaving two out of three lanes or you know, there 136 00:06:33,120 --> 00:06:35,360 Speaker 1: was an accident. I don't know, but it was completely 137 00:06:35,400 --> 00:06:38,360 Speaker 1: stopped up, and so I went was rerooted around it, 138 00:06:38,400 --> 00:06:39,560 Speaker 1: and I was like, wow, I would have just been 139 00:06:39,560 --> 00:06:41,800 Speaker 1: sitting there like thirty forty five minutes on the highway 140 00:06:42,080 --> 00:06:43,599 Speaker 1: when I'm just trying to get home at nine thirty 141 00:06:43,600 --> 00:06:48,640 Speaker 1: at night. I'm really glad that this knowledge exists. I 142 00:06:48,760 --> 00:06:52,840 Speaker 1: have picture this. I will throw this out there. A 143 00:06:52,839 --> 00:06:55,640 Speaker 1: blog reader suggested this when I was trying to identify 144 00:06:55,760 --> 00:07:00,440 Speaker 1: a plant in my yard. It is paid, so if 145 00:07:00,480 --> 00:07:04,360 Speaker 1: your botany desire does not rise to the level of 146 00:07:04,400 --> 00:07:06,680 Speaker 1: being a budget item, then you probably don't want to 147 00:07:06,680 --> 00:07:11,240 Speaker 1: avail yourself of this. But I love knowing exactly what 148 00:07:11,360 --> 00:07:14,120 Speaker 1: the plant is. And I was using sk which was free, 149 00:07:14,120 --> 00:07:15,720 Speaker 1: but it just like wasn't working that well. And this 150 00:07:15,800 --> 00:07:19,040 Speaker 1: picture this works really really well. So I've had like 151 00:07:19,200 --> 00:07:22,280 Speaker 1: one where it didn't know and that may have been 152 00:07:22,320 --> 00:07:24,760 Speaker 1: a lighting issue. So I'm going to throw that out 153 00:07:24,760 --> 00:07:29,520 Speaker 1: there and I will say, Sarah, I love email. 154 00:07:30,240 --> 00:07:32,000 Speaker 2: It's an asynchronous form of communication. 155 00:07:32,200 --> 00:07:34,480 Speaker 1: It is great, it is and I know people let 156 00:07:34,480 --> 00:07:36,480 Speaker 1: it take over their life, but you don't have to 157 00:07:36,560 --> 00:07:39,720 Speaker 1: let it take over your life. You can decide to 158 00:07:39,800 --> 00:07:41,600 Speaker 1: check it when you wish to check it, and if 159 00:07:41,600 --> 00:07:44,040 Speaker 1: you treat it as a tool, it is an amazing 160 00:07:44,080 --> 00:07:46,680 Speaker 1: way for you to reach people in a way that 161 00:07:46,800 --> 00:07:49,520 Speaker 1: is not annoying for them because you are sending it 162 00:07:49,560 --> 00:07:51,400 Speaker 1: at a time that they can check when they wish. 163 00:07:51,800 --> 00:07:53,560 Speaker 1: And it is a way for people who would never 164 00:07:53,600 --> 00:07:57,840 Speaker 1: have called you to reach you as well. So it 165 00:07:58,040 --> 00:08:03,200 Speaker 1: allows people readers, listeners, viewers, whatever to find you and 166 00:08:03,480 --> 00:08:06,000 Speaker 1: to send you feedback in a direct way. And I 167 00:08:06,040 --> 00:08:08,440 Speaker 1: really enjoy that aspect. We love hearing from listeners, so 168 00:08:08,520 --> 00:08:10,960 Speaker 1: please email me Laura at Laura vandercam dot com. I 169 00:08:11,000 --> 00:08:13,440 Speaker 1: would love to hear what you think are what your 170 00:08:14,000 --> 00:08:17,160 Speaker 1: top apps are as well. So we'll go ahead and 171 00:08:17,200 --> 00:08:20,440 Speaker 1: listen to what Rachel fold Cohen has to say. Well, 172 00:08:20,480 --> 00:08:23,680 Speaker 1: Sarah and I are delighted to have Rachel fold Cohen 173 00:08:23,720 --> 00:08:25,640 Speaker 1: with us. So, Rachel, welcome to the show. 174 00:08:25,880 --> 00:08:27,680 Speaker 3: Thank you so much, so excited to be here. 175 00:08:27,960 --> 00:08:29,720 Speaker 1: Yeah, so why don't you tell our listeners a little 176 00:08:29,760 --> 00:08:30,520 Speaker 1: bit about yourself. 177 00:08:31,000 --> 00:08:33,680 Speaker 3: Yes, awesome. So, like you said, my name is Rachel 178 00:08:33,720 --> 00:08:37,720 Speaker 3: fold Cohen. I'm the CEO and co founder of Silicon Society, 179 00:08:38,320 --> 00:08:41,160 Speaker 3: and I've really grown up in the tech space. So 180 00:08:41,280 --> 00:08:44,040 Speaker 3: started working in a startup in Soho and the adorable 181 00:08:44,040 --> 00:08:47,600 Speaker 3: little office with a small team years ago, and I've 182 00:08:47,640 --> 00:08:50,200 Speaker 3: really grown up throughout the ed tech space, got my 183 00:08:50,280 --> 00:08:53,320 Speaker 3: master's in career development with a focus on talent development, 184 00:08:53,679 --> 00:08:56,640 Speaker 3: and so at Silicon Society, what we're building is a 185 00:08:56,679 --> 00:09:02,240 Speaker 3: space for folks to lead a scalable AI native shadows 186 00:09:02,280 --> 00:09:04,480 Speaker 3: for the future of learning. And so it's been really 187 00:09:04,480 --> 00:09:07,000 Speaker 3: cool to mix all those interests together. But what's been 188 00:09:07,080 --> 00:09:10,360 Speaker 3: most interesting to me is seeing how I've learned from 189 00:09:10,360 --> 00:09:13,840 Speaker 3: my whole tech experience and brought it into my parenting life. 190 00:09:13,880 --> 00:09:16,080 Speaker 3: So I have three kids. They are how old are 191 00:09:16,080 --> 00:09:19,720 Speaker 3: they today? They are six, nine, and ten, so nice 192 00:09:19,760 --> 00:09:22,800 Speaker 3: and close together, and they teach me every day and 193 00:09:22,800 --> 00:09:25,960 Speaker 3: hopefully I teach them and to dream to be sharing 194 00:09:25,960 --> 00:09:27,400 Speaker 3: some of those learnings on this podcast. 195 00:09:27,679 --> 00:09:30,080 Speaker 1: Yeah. Absolutely, So you got kids in kind of the 196 00:09:30,080 --> 00:09:33,240 Speaker 1: elementary school years, and I'm sure that you know there's 197 00:09:33,240 --> 00:09:36,000 Speaker 1: been a lot of evolution and how tech is used 198 00:09:36,800 --> 00:09:39,560 Speaker 1: in the elementary school years of Are your kids at 199 00:09:39,760 --> 00:09:41,760 Speaker 1: a school where they do use a lot of tech? 200 00:09:42,440 --> 00:09:45,560 Speaker 3: They do, Yeah, so they're spending about a third of 201 00:09:45,559 --> 00:09:48,760 Speaker 3: their time on different forms of technology. So the school 202 00:09:48,760 --> 00:09:50,640 Speaker 3: actually uses a rotational model, which is one of the 203 00:09:50,640 --> 00:09:53,319 Speaker 3: things that I really appreciate about it, so that they 204 00:09:53,320 --> 00:09:57,040 Speaker 3: either get some small time with their future small group 205 00:09:57,080 --> 00:10:00,000 Speaker 3: time or they're spending it on technology. And it's really 206 00:10:00,120 --> 00:10:02,319 Speaker 3: cool to see how some even kids apps have started 207 00:10:02,320 --> 00:10:05,200 Speaker 3: differentiating their learning so that folk kids could be like 208 00:10:05,200 --> 00:10:07,839 Speaker 3: advancing where they need to be. So that's definitely been 209 00:10:07,960 --> 00:10:09,439 Speaker 3: a growing area. 210 00:10:09,520 --> 00:10:13,160 Speaker 1: For the cool Well. I love the idea of differentiated instruction, especially, 211 00:10:13,200 --> 00:10:15,360 Speaker 1: you know, kids have so many different needs and it's 212 00:10:15,600 --> 00:10:18,000 Speaker 1: so hard as an individual teacher to meet all of them. 213 00:10:18,000 --> 00:10:22,960 Speaker 1: But that's something that software can definitely excel at. But 214 00:10:23,160 --> 00:10:25,880 Speaker 1: we wanted to talk with you about some of the 215 00:10:25,960 --> 00:10:28,839 Speaker 1: ways that you know you are using tech in your 216 00:10:28,880 --> 00:10:32,440 Speaker 1: home life and maybe some strategies that people might want 217 00:10:32,480 --> 00:10:37,680 Speaker 1: to try. Yeah, some tips for our busy parents, definitely. 218 00:10:37,320 --> 00:10:40,280 Speaker 3: And it's something that I think I naturally think about 219 00:10:40,280 --> 00:10:43,960 Speaker 3: because when I'm with my kids, I'm thinking about their 220 00:10:44,040 --> 00:10:48,120 Speaker 3: learning and development. And frankly, having three kids so quickly together, 221 00:10:49,000 --> 00:10:51,480 Speaker 3: some of that definitely didn't go great at the beginning. 222 00:10:51,559 --> 00:10:53,840 Speaker 3: So my first two kids are seventeen months apart. For 223 00:10:53,920 --> 00:10:56,880 Speaker 3: those first seventeen months of my son's life, oh man, 224 00:10:56,920 --> 00:10:59,000 Speaker 3: I gave him all the attention, like he wanted to 225 00:10:59,000 --> 00:11:01,320 Speaker 3: bake with me, We bake, and I would teach him 226 00:11:01,360 --> 00:11:03,680 Speaker 3: exactly how many teaspoons in a tablespoon, and he'd be 227 00:11:03,679 --> 00:11:05,960 Speaker 3: pouring everything in and he'd spill and I would say, 228 00:11:06,400 --> 00:11:08,800 Speaker 3: no problem, we'll clean it up, not a big deal. 229 00:11:08,840 --> 00:11:12,360 Speaker 3: And then, as life has it, my next came pretty 230 00:11:12,400 --> 00:11:15,280 Speaker 3: close behind, and I was so quickly felt like I 231 00:11:15,320 --> 00:11:17,680 Speaker 3: was just kind of moving her over to the side 232 00:11:17,720 --> 00:11:18,959 Speaker 3: and being like, just don't get in the way of 233 00:11:19,040 --> 00:11:20,760 Speaker 3: our baking. We have a special little thing we do 234 00:11:20,840 --> 00:11:22,440 Speaker 3: every week, and you're gonna play with a toy on 235 00:11:22,480 --> 00:11:25,719 Speaker 3: the floor. And eventually, of course she wouldn't have any 236 00:11:25,760 --> 00:11:27,000 Speaker 3: of that. She wanted to be part of the fun 237 00:11:27,040 --> 00:11:29,040 Speaker 3: baking activity, and so I was kind of meeting at 238 00:11:29,040 --> 00:11:32,680 Speaker 3: her level, and my oldest was getting bored. He knew 239 00:11:32,720 --> 00:11:34,680 Speaker 3: that he used to get all of my attention and 240 00:11:34,720 --> 00:11:36,360 Speaker 3: he was ready to learn more stuff. And I was 241 00:11:36,400 --> 00:11:39,760 Speaker 3: going back to the tea spoon to tablespoon measurements. And 242 00:11:39,800 --> 00:11:42,160 Speaker 3: then my third came along a few years later, and 243 00:11:42,240 --> 00:11:44,520 Speaker 3: we were really lucky to have I'll just spell it 244 00:11:44,559 --> 00:11:46,719 Speaker 3: out so it doesn't mess up everyone's home, but an 245 00:11:46,720 --> 00:11:50,000 Speaker 3: al Exa in our home by that point in time, 246 00:11:51,080 --> 00:11:53,480 Speaker 3: and so I could actually tell him what to be 247 00:11:53,600 --> 00:11:58,280 Speaker 3: asking our AI assistant in our home, and they could 248 00:11:58,400 --> 00:12:00,480 Speaker 3: be explaining some of those answers. And this was my 249 00:12:00,520 --> 00:12:04,600 Speaker 3: first real, like aha moment of differentiated learning in the household. 250 00:12:04,640 --> 00:12:07,320 Speaker 3: How we can actually use these speakers that we all 251 00:12:07,400 --> 00:12:09,560 Speaker 3: hate that they're listening to us all the time, but 252 00:12:09,600 --> 00:12:11,640 Speaker 3: really in a way to meet our kids' needs at 253 00:12:11,679 --> 00:12:15,080 Speaker 3: their own developmental stages. So baking to me was a 254 00:12:15,200 --> 00:12:17,920 Speaker 3: great example of one. But we actually use AI in 255 00:12:17,960 --> 00:12:19,679 Speaker 3: the home for a lot of different things. So we'll 256 00:12:19,800 --> 00:12:22,720 Speaker 3: use it for things like getting the weather or hearing 257 00:12:22,760 --> 00:12:25,240 Speaker 3: sports scores, like really basic things that my kids want 258 00:12:25,240 --> 00:12:27,559 Speaker 3: to know different pieces of and I don't know the answer, 259 00:12:27,640 --> 00:12:29,400 Speaker 3: and honestly, I don't want to staring at screens. I 260 00:12:29,400 --> 00:12:31,520 Speaker 3: don't want them looking at my phone. It's a quick 261 00:12:31,559 --> 00:12:33,880 Speaker 3: way to get a piece of information and then talk 262 00:12:33,920 --> 00:12:37,360 Speaker 3: about it as a family. So that's some like differentiated 263 00:12:37,400 --> 00:12:40,520 Speaker 3: learning examples. I can also share some kind of tactical 264 00:12:40,559 --> 00:12:42,719 Speaker 3: like how I use AI, but that could be a 265 00:12:42,760 --> 00:12:43,320 Speaker 3: separate one. 266 00:12:43,559 --> 00:12:45,320 Speaker 1: Yeah, yeah, no, I definitely want to hear it. I 267 00:12:45,320 --> 00:12:46,880 Speaker 1: love the idea, I mean, because kids have so many 268 00:12:46,960 --> 00:12:50,160 Speaker 1: random questions, and I mean, you want to answer some 269 00:12:50,200 --> 00:12:52,400 Speaker 1: of them, and certainly the important ones are ones that 270 00:12:52,400 --> 00:12:54,880 Speaker 1: deal with values you know you as a parent want 271 00:12:54,880 --> 00:12:58,079 Speaker 1: to take on. But when you're asked by three different 272 00:12:58,160 --> 00:13:00,640 Speaker 1: children in the morning what the weather is like today, 273 00:13:00,679 --> 00:13:02,480 Speaker 1: it could be a little bit like by the third question, 274 00:13:02,520 --> 00:13:06,400 Speaker 1: you're probably not that nice of a parent and answering totally. 275 00:13:07,679 --> 00:13:11,160 Speaker 1: Some tech assistant might be better for that, at least 276 00:13:11,160 --> 00:13:14,160 Speaker 1: in terms of patients. But what else are you guys 277 00:13:14,240 --> 00:13:14,800 Speaker 1: using it for? 278 00:13:15,080 --> 00:13:18,199 Speaker 3: Yeah, so some of my favorite hacks so using AI 279 00:13:18,440 --> 00:13:21,079 Speaker 3: for school supply lists. This is one of my least 280 00:13:21,120 --> 00:13:24,000 Speaker 3: favorite parenting tasks is at some point in the spring, 281 00:13:24,600 --> 00:13:26,080 Speaker 3: you get a list of all the stuff you're gonna 282 00:13:26,080 --> 00:13:28,040 Speaker 3: have to send in in the fall. My kids have 283 00:13:28,120 --> 00:13:31,240 Speaker 3: multiple teachers and activities, so I have like four or 284 00:13:31,280 --> 00:13:34,360 Speaker 3: five six different lists that for some reason, my brain 285 00:13:34,480 --> 00:13:36,960 Speaker 3: just cannot cross check it all on its own. So 286 00:13:37,000 --> 00:13:38,520 Speaker 3: what I started doing a couple of years ago. Was 287 00:13:38,600 --> 00:13:42,440 Speaker 3: just copying, pasting the lists into whatever AI or whatever 288 00:13:42,520 --> 00:13:45,719 Speaker 3: LLLM it is that you use, and just asking you, 289 00:13:45,800 --> 00:13:49,120 Speaker 3: like doing some prompt engineering to ask it to put 290 00:13:49,120 --> 00:13:52,440 Speaker 3: it in different categories, you know, combine, like if each 291 00:13:52,480 --> 00:13:55,040 Speaker 3: list has a pair of scissors, just put five scissors 292 00:13:55,040 --> 00:13:57,840 Speaker 3: on one list, or really just creating one list. You 293 00:13:57,840 --> 00:13:59,720 Speaker 3: can even tell it what type of story you're going to. 294 00:14:00,000 --> 00:14:02,360 Speaker 3: If you're going to like an art supply store and 295 00:14:02,520 --> 00:14:06,040 Speaker 3: a supermarket, it'll put different lists for those different stories 296 00:14:06,040 --> 00:14:07,600 Speaker 3: you're going to. If you're going to a place like Walmart, 297 00:14:07,640 --> 00:14:09,480 Speaker 3: it could probably be all on one list, but you 298 00:14:09,520 --> 00:14:11,120 Speaker 3: can kind of get it just to do some really 299 00:14:11,120 --> 00:14:14,360 Speaker 3: specific tasks for you. I also love using it for 300 00:14:14,559 --> 00:14:18,400 Speaker 3: travel planning specifically because as my kids age, even for 301 00:14:18,600 --> 00:14:21,560 Speaker 3: day trips, there's such different needs. So we're actually going 302 00:14:21,560 --> 00:14:24,120 Speaker 3: to a Kadia this summer, which I'm so looking forward to. 303 00:14:24,520 --> 00:14:26,760 Speaker 3: We did go four years ago, but my kids were 304 00:14:26,760 --> 00:14:29,600 Speaker 3: really different ages. So I actually put in our itinerary 305 00:14:30,000 --> 00:14:33,440 Speaker 3: from a few years ago, updated with my kids current ages, 306 00:14:33,480 --> 00:14:35,280 Speaker 3: and said how would you adjust this and what would 307 00:14:35,320 --> 00:14:37,240 Speaker 3: you add? And I was able to get a whole 308 00:14:37,240 --> 00:14:40,680 Speaker 3: new itinerary to research. So it really like doing that 309 00:14:40,720 --> 00:14:43,240 Speaker 3: really specific prompt engineering. And if you're not good at 310 00:14:43,240 --> 00:14:45,600 Speaker 3: putting in an initial prompt, just really spending a few 311 00:14:45,600 --> 00:14:48,480 Speaker 3: minutes chatting with the AI will get you some really 312 00:14:48,520 --> 00:14:51,920 Speaker 3: great outputs and honestly efficiencies. My trip planning now takes 313 00:14:51,960 --> 00:14:53,720 Speaker 3: me an hour where it used to take me weeks, 314 00:14:53,720 --> 00:14:56,160 Speaker 3: and I just really appreciate that time back. 315 00:14:56,560 --> 00:14:58,920 Speaker 1: Yeah, well that's so interesting. I mean, so prompt engineering 316 00:14:58,920 --> 00:15:01,440 Speaker 1: maybe a phrase that people who are not immersed in 317 00:15:01,440 --> 00:15:03,640 Speaker 1: this like you are, may not have heard, yea even 318 00:15:03,720 --> 00:15:07,280 Speaker 1: before this episode. What that is is maybe spell it 319 00:15:07,280 --> 00:15:10,360 Speaker 1: out a little slowly for us. It's thinking about how 320 00:15:10,400 --> 00:15:13,640 Speaker 1: you're getting the AI to respond with what you want. 321 00:15:14,120 --> 00:15:17,800 Speaker 3: Is that right exactly? So anytime you ask a question 322 00:15:17,840 --> 00:15:20,880 Speaker 3: to an AI verbal or you're typing it into a 323 00:15:20,960 --> 00:15:23,440 Speaker 3: chat feature, that is a prompt. So if you say 324 00:15:23,440 --> 00:15:25,680 Speaker 3: what is today's weather? That is a prompt. If you 325 00:15:25,720 --> 00:15:28,400 Speaker 3: say who won the Super Bowl in nineteen ninety six, 326 00:15:28,480 --> 00:15:30,960 Speaker 3: that is a prompt. But if you want to get 327 00:15:30,960 --> 00:15:34,320 Speaker 3: a very specific output to your needs, the more information 328 00:15:34,480 --> 00:15:37,160 Speaker 3: you give it, the more specific the output would be. 329 00:15:37,240 --> 00:15:40,120 Speaker 3: And so prompt engineering is just a fancy way of 330 00:15:40,160 --> 00:15:43,720 Speaker 3: saying figuring out exactly how you want to ask a 331 00:15:43,800 --> 00:15:46,280 Speaker 3: question to get the output that you want. There are 332 00:15:46,280 --> 00:15:50,240 Speaker 3: some amazing resources online, like prompt engineering guides. There's definitely 333 00:15:50,240 --> 00:15:52,040 Speaker 3: one out there for travel, I'm sure we can find, 334 00:15:52,920 --> 00:15:55,360 Speaker 3: but also for different scenarios, and a lot of the 335 00:15:55,400 --> 00:15:58,240 Speaker 3: best practices are things like tell AI what you want 336 00:15:58,240 --> 00:15:59,880 Speaker 3: it to be, so like the Great of the Star 337 00:16:00,120 --> 00:16:03,760 Speaker 3: of a great prompt will usually include something like you 338 00:16:03,880 --> 00:16:06,840 Speaker 3: are my travel planner for today. Here is what I 339 00:16:06,880 --> 00:16:09,240 Speaker 3: need you to do, and then something very specific. So 340 00:16:09,280 --> 00:16:12,040 Speaker 3: you're giving the AI a job and then prompting it 341 00:16:12,120 --> 00:16:14,520 Speaker 3: with what output you want, and that's usually the most 342 00:16:14,520 --> 00:16:16,560 Speaker 3: effective way. So that's some basic guidelines. If you're just 343 00:16:16,600 --> 00:16:20,080 Speaker 3: getting started thinking about something like prompt engineering, do. 344 00:16:20,000 --> 00:16:21,760 Speaker 1: You think it could help? But sort of like planning 345 00:16:21,840 --> 00:16:23,920 Speaker 1: a summer, like what kids should be doing? Would it 346 00:16:23,920 --> 00:16:27,160 Speaker 1: be able to look at the opportunities in your area 347 00:16:27,200 --> 00:16:29,480 Speaker 1: and suggest, you know, or I have a fourteen year 348 00:16:29,520 --> 00:16:32,360 Speaker 1: old who's into X and Y, what would you suggest 349 00:16:32,400 --> 00:16:34,560 Speaker 1: we do is that? How would you shape that one? 350 00:16:34,880 --> 00:16:37,360 Speaker 3: Yeah, well that's a great question. So what AI is 351 00:16:37,600 --> 00:16:42,160 Speaker 3: very good at right now is general so types of activities. 352 00:16:42,360 --> 00:16:46,440 Speaker 3: What it is getting better at is search. So AI 353 00:16:46,520 --> 00:16:50,440 Speaker 3: search is still very new months old, where it's actually 354 00:16:50,600 --> 00:16:54,320 Speaker 3: searching like Google would and then aggregating that information, so 355 00:16:54,400 --> 00:16:57,000 Speaker 3: not just pulling information from like a corpus of past data. 356 00:16:57,480 --> 00:17:00,320 Speaker 3: And so what's been interesting is that companies have not 357 00:17:00,440 --> 00:17:03,880 Speaker 3: yet figured out how to I don't want to say game, 358 00:17:04,080 --> 00:17:07,879 Speaker 3: but I'm going to say game AI search. Whereas like 359 00:17:08,119 --> 00:17:11,320 Speaker 3: in order to game Google search, there's like SEO right 360 00:17:11,359 --> 00:17:16,800 Speaker 3: search engine optimization, and websites were super focused on their 361 00:17:16,960 --> 00:17:19,320 Speaker 3: search visibility. People haven't figured out how to quote unquote 362 00:17:19,320 --> 00:17:22,760 Speaker 3: game AI search. What that means is that when you today, 363 00:17:22,880 --> 00:17:27,320 Speaker 3: like as of mid twenty twenty five, AI search kind 364 00:17:27,320 --> 00:17:29,280 Speaker 3: of pull some random stuff in there. So what I 365 00:17:29,280 --> 00:17:31,720 Speaker 3: wouldn't necessarily recommend to say, like what summer camp should 366 00:17:31,720 --> 00:17:33,800 Speaker 3: I send my kid to in this area, because it 367 00:17:33,880 --> 00:17:36,240 Speaker 3: might actually pull a super niche camp that maybe isn't 368 00:17:36,240 --> 00:17:38,440 Speaker 3: even so close. But if you ask a bit more 369 00:17:38,440 --> 00:17:41,879 Speaker 3: broad question, it'll give you a starting off point. But 370 00:17:42,240 --> 00:17:44,680 Speaker 3: follow this space, AI search is going to be really 371 00:17:44,720 --> 00:17:46,439 Speaker 3: well defined in companies are going to learn how to 372 00:17:46,840 --> 00:17:47,840 Speaker 3: be found on it. 373 00:17:48,200 --> 00:17:49,960 Speaker 1: Excellent, excellent. Well, we're going to take a quick ad 374 00:17:50,000 --> 00:18:04,760 Speaker 1: break and then I'll be back with more from Rachel Well. 375 00:18:04,800 --> 00:18:07,920 Speaker 1: I am back with Rachel Fuld Cohen from the Silicon Society. 376 00:18:07,960 --> 00:18:10,800 Speaker 1: We've been talking about ways that tech can assist our 377 00:18:10,840 --> 00:18:14,520 Speaker 1: lives as busy parents. But you've been in the tech 378 00:18:14,560 --> 00:18:17,960 Speaker 1: space for a long time at this point, and I 379 00:18:18,000 --> 00:18:20,960 Speaker 1: know that a lot of what has been talked about 380 00:18:21,840 --> 00:18:24,000 Speaker 1: and tech and with parenting is like, well, how can 381 00:18:24,600 --> 00:18:27,760 Speaker 1: parents still make it despite the hustle culture and all that. 382 00:18:28,200 --> 00:18:30,159 Speaker 1: I feel like you have a slightly different take on this. 383 00:18:30,160 --> 00:18:31,520 Speaker 1: Do you want to talk about that a little bit? 384 00:18:31,720 --> 00:18:35,520 Speaker 3: Yeah, definitely, let's talk about it. Yes, I definitely do. 385 00:18:35,560 --> 00:18:38,200 Speaker 3: I feel like there's been so much written out there 386 00:18:38,280 --> 00:18:44,920 Speaker 3: about how parents make especially good employees, workers leaders because 387 00:18:44,920 --> 00:18:47,679 Speaker 3: they're so good at balancing and juggling things, And of 388 00:18:47,840 --> 00:18:51,840 Speaker 3: course that is true to an extent, but I actually 389 00:18:51,840 --> 00:18:54,160 Speaker 3: think it's like getting the chicken and the egg wrong. 390 00:18:54,920 --> 00:18:58,159 Speaker 3: And I think actually the narrative maybe serves to do 391 00:18:58,240 --> 00:19:01,200 Speaker 3: a disservice to parents because it just this reminds everyone 392 00:19:01,200 --> 00:19:02,840 Speaker 3: of all the juggling that we're doing all the time, 393 00:19:02,880 --> 00:19:06,640 Speaker 3: which real talk, we absolutely are. But what I think 394 00:19:06,720 --> 00:19:10,879 Speaker 3: is that the best parent caregiver employees that I've worked 395 00:19:10,880 --> 00:19:13,560 Speaker 3: with that I see on a daily basis are folks 396 00:19:13,560 --> 00:19:17,520 Speaker 3: who are naturally good at doing more with less. They 397 00:19:17,520 --> 00:19:20,600 Speaker 3: are naturally good at finding tools, at finding people, at 398 00:19:20,680 --> 00:19:24,359 Speaker 3: finding solutions that help them maximize their time at home 399 00:19:24,600 --> 00:19:28,480 Speaker 3: and maximize their time at work. And when you see 400 00:19:28,480 --> 00:19:31,240 Speaker 3: it done well, it's really skillful. Not to say that 401 00:19:31,280 --> 00:19:34,400 Speaker 3: I don't feel guilty on the weeks that my kids 402 00:19:34,440 --> 00:19:36,840 Speaker 3: are all from school and I'm juggling everything and things 403 00:19:36,840 --> 00:19:39,560 Speaker 3: feel like they're falling. It doesn't mean it feels perfect 404 00:19:39,680 --> 00:19:41,960 Speaker 3: or good all the time, but I actually think a 405 00:19:41,960 --> 00:19:45,359 Speaker 3: lot of parents are just very naturally good at doing 406 00:19:45,400 --> 00:19:49,119 Speaker 3: more with less and delegating. My kids call my delegating chores. 407 00:19:50,040 --> 00:19:52,840 Speaker 3: I call it making them responsible humans who can take 408 00:19:52,880 --> 00:19:56,159 Speaker 3: on household responsibilities. And honestly, same with my staff. I 409 00:19:56,160 --> 00:19:59,600 Speaker 3: mean my staff, many of them are parents are incredible 410 00:19:59,640 --> 00:20:02,840 Speaker 3: at cross supporting each other doing more with less. Like 411 00:20:02,920 --> 00:20:04,760 Speaker 3: I mean, I think AI is such an obvious way 412 00:20:04,840 --> 00:20:07,480 Speaker 3: that everyone can do more with less. But even before that, 413 00:20:07,480 --> 00:20:10,400 Speaker 3: there are so many tools that I think the best 414 00:20:10,440 --> 00:20:12,720 Speaker 3: workers just use because it makes their life easier. And 415 00:20:12,800 --> 00:20:15,399 Speaker 3: so I do think, yes, we are all good at 416 00:20:15,480 --> 00:20:19,879 Speaker 3: juggling a lot, but we're juggling fewer balls because we 417 00:20:19,960 --> 00:20:22,159 Speaker 3: can use the tools and we can delegate, and I 418 00:20:22,240 --> 00:20:24,760 Speaker 3: just like love seeing parents and caregivers in the workforce 419 00:20:24,840 --> 00:20:25,240 Speaker 3: route at it. 420 00:20:25,560 --> 00:20:28,000 Speaker 1: Yeah, yeah, I'm very curious. What chores do you have 421 00:20:28,040 --> 00:20:31,800 Speaker 1: your kids doing that? Uh? What's the chor schedule in 422 00:20:31,840 --> 00:20:32,560 Speaker 1: the Cohen family? 423 00:20:33,560 --> 00:20:36,520 Speaker 3: Yes, okay, well the chor schedule was pretty set for 424 00:20:36,560 --> 00:20:39,920 Speaker 3: a while, so they're always the domain starts with their room, 425 00:20:40,000 --> 00:20:41,639 Speaker 3: so like for my six year old, he is in 426 00:20:41,720 --> 00:20:45,080 Speaker 3: charge of his room, so making his bed, making sure 427 00:20:45,080 --> 00:20:46,800 Speaker 3: there are own stuff on the floor, and hanging up 428 00:20:46,840 --> 00:20:49,760 Speaker 3: their towel. Man, if this day starts like that, that 429 00:20:49,880 --> 00:20:53,320 Speaker 3: is a great day for my nine and ten year old. 430 00:20:53,720 --> 00:20:56,439 Speaker 3: They also have responsibilities like setting the table for a 431 00:20:56,440 --> 00:20:59,480 Speaker 3: weekly dinner, sweeping a couple times a week. And then 432 00:20:59,760 --> 00:21:01,840 Speaker 3: we actually got a dog about a year ago now, 433 00:21:02,440 --> 00:21:04,280 Speaker 3: which is a new edition. We have a whole other 434 00:21:04,359 --> 00:21:07,520 Speaker 3: conversation about that, but that came with walking the dog 435 00:21:07,560 --> 00:21:10,800 Speaker 3: responsibilities as well, which is great because usually the dog 436 00:21:10,880 --> 00:21:12,399 Speaker 3: needs a walk when they get home from school, and 437 00:21:12,400 --> 00:21:14,679 Speaker 3: my partner and I are both still working and so 438 00:21:15,200 --> 00:21:17,520 Speaker 3: they can kind of take on that responsibility and allows 439 00:21:17,520 --> 00:21:19,680 Speaker 3: me to continue to be doing what I need to 440 00:21:19,680 --> 00:21:20,240 Speaker 3: do at work. 441 00:21:20,640 --> 00:21:22,720 Speaker 1: Excellent, always good way to have that. But I would 442 00:21:22,760 --> 00:21:26,199 Speaker 1: love to hear about your daily schedule. I mean, we 443 00:21:26,280 --> 00:21:29,640 Speaker 1: had talked earlier about how you know, you've definitely been 444 00:21:29,880 --> 00:21:33,879 Speaker 1: moving work around in the dimensions of time sort of 445 00:21:33,920 --> 00:21:36,760 Speaker 1: in place you know, people work remotely proof where there's 446 00:21:36,840 --> 00:21:39,040 Speaker 1: just a lot of flexibility with that. But what is 447 00:21:39,080 --> 00:21:40,280 Speaker 1: your schedule looking like now? 448 00:21:40,560 --> 00:21:44,480 Speaker 3: Yeah, yeah, great question, fun to think about. My partner 449 00:21:44,520 --> 00:21:46,520 Speaker 3: and I are big proponents of like we take everything 450 00:21:46,520 --> 00:21:48,879 Speaker 3: a year at a time, and then we schedule up 451 00:21:48,920 --> 00:21:52,919 Speaker 3: the wazoo. So I'm very fortunate. We are definitely benefactors 452 00:21:52,960 --> 00:21:55,520 Speaker 3: of remote work. So we're both working from home, Like 453 00:21:55,560 --> 00:21:57,199 Speaker 3: we'll travel and have to go in for meetings, but 454 00:21:57,200 --> 00:22:00,000 Speaker 3: we have a pretty set drop off and pick up 455 00:22:00,119 --> 00:22:02,440 Speaker 3: schedule for our kids that we can do on a 456 00:22:02,520 --> 00:22:06,280 Speaker 3: daily basis because they are close by. And then I 457 00:22:06,320 --> 00:22:08,679 Speaker 3: think one of the biggest transitions for me over the 458 00:22:08,680 --> 00:22:11,080 Speaker 3: past year, so they'll my kids will come home from school, 459 00:22:11,080 --> 00:22:12,760 Speaker 3: they do screen there and aftercare and then they do 460 00:22:12,760 --> 00:22:15,080 Speaker 3: screens for an hour so that's their like TV time, 461 00:22:15,119 --> 00:22:16,879 Speaker 3: so we can wrap up work. I know lots of 462 00:22:16,880 --> 00:22:19,200 Speaker 3: opinions on different screen time, but that works so well 463 00:22:19,200 --> 00:22:22,400 Speaker 3: for my family, and then one of us we split down, 464 00:22:22,400 --> 00:22:24,360 Speaker 3: coming right when they're done with screens to make sure 465 00:22:24,440 --> 00:22:27,320 Speaker 3: dinner is ready, and then we're both pretty much around 466 00:22:27,359 --> 00:22:31,320 Speaker 3: for the bedtime routine most nights. The biggest transition for me, Lauren, 467 00:22:31,320 --> 00:22:33,479 Speaker 3: I think this is what you were alluding to, is 468 00:22:33,920 --> 00:22:36,600 Speaker 3: my kids used to go to sleep earlier. So any 469 00:22:36,640 --> 00:22:40,200 Speaker 3: other parents of like kind of going into the preteen years, 470 00:22:40,440 --> 00:22:42,560 Speaker 3: all of a sudden they care about like watching sports games, 471 00:22:42,560 --> 00:22:45,640 Speaker 3: they're bedtimes or eight fifteen and eight thirty. But somehow 472 00:22:45,640 --> 00:22:48,159 Speaker 3: we've been like very flexible these days with that. And 473 00:22:48,240 --> 00:22:51,000 Speaker 3: for me, what that has meant is for years I 474 00:22:51,080 --> 00:22:53,439 Speaker 3: had two hours between work and when I would like 475 00:22:53,480 --> 00:22:55,399 Speaker 3: go back to work, which I didn't always have to do, 476 00:22:55,480 --> 00:22:58,000 Speaker 3: but certainly being a founder right now, I am going 477 00:22:58,040 --> 00:23:01,320 Speaker 3: back to work most nights, and that two hour block 478 00:23:01,359 --> 00:23:03,199 Speaker 3: was pretty well defined, so I'd hyper focus on my 479 00:23:03,240 --> 00:23:05,960 Speaker 3: family and then go back to work and hyper focus there, 480 00:23:06,000 --> 00:23:08,880 Speaker 3: and that delineation has just gotten a little bit fuzzy. 481 00:23:09,440 --> 00:23:12,119 Speaker 3: I felt so uncomfortable going back to work with my 482 00:23:12,200 --> 00:23:15,520 Speaker 3: kids awake, and so one thing I've started doing is 483 00:23:15,560 --> 00:23:17,600 Speaker 3: that first hour I'm usually back to work like eight 484 00:23:17,640 --> 00:23:19,879 Speaker 3: to nine pm. I actually do it on the couch, 485 00:23:19,920 --> 00:23:22,200 Speaker 3: and my ten year old loves looking over my shoulder. 486 00:23:22,960 --> 00:23:25,919 Speaker 3: And at first I felt guilty about that. Why am 487 00:23:25,960 --> 00:23:27,720 Speaker 3: I working and he's watching me. Now he's going to 488 00:23:27,760 --> 00:23:30,399 Speaker 3: think that work is more of a priority. But I 489 00:23:30,440 --> 00:23:32,600 Speaker 3: actually realized it was like pair programming, like I see 490 00:23:32,600 --> 00:23:35,080 Speaker 3: our engineers doing all the time, like working together or 491 00:23:35,280 --> 00:23:38,280 Speaker 3: kind of job shadowing. And now I really love answering 492 00:23:38,280 --> 00:23:40,080 Speaker 3: his questions. I was actually on Canva the other night 493 00:23:40,160 --> 00:23:42,560 Speaker 3: designing some social media posts and he had some really 494 00:23:42,560 --> 00:23:44,879 Speaker 3: good input because, like spoiler alert, ten year old is 495 00:23:44,920 --> 00:23:48,040 Speaker 3: better at create designing stuff than I am. And so 496 00:23:48,520 --> 00:23:50,719 Speaker 3: it's actually been this really great experience that we've been 497 00:23:50,720 --> 00:23:53,040 Speaker 3: able to add into our routine. But then at eight thirty, 498 00:23:53,080 --> 00:23:54,480 Speaker 3: I'm like, all right, kid, go to bed. 499 00:23:54,640 --> 00:23:56,520 Speaker 1: Go to bed, It's time to get back. What do 500 00:23:56,560 --> 00:23:57,479 Speaker 1: your mornings look like? 501 00:23:58,320 --> 00:23:59,000 Speaker 3: Yeah? 502 00:23:59,200 --> 00:23:59,840 Speaker 1: What are morning is? 503 00:23:59,840 --> 00:24:03,440 Speaker 3: My kids are early risers, so they come down. They're 504 00:24:03,480 --> 00:24:07,400 Speaker 3: pretty much reading while we get snacks. We do school lunch, 505 00:24:07,400 --> 00:24:10,080 Speaker 3: but they get snacks. I'll get snacks ready for them. 506 00:24:10,480 --> 00:24:12,159 Speaker 3: There's a couple of mornings a week what we'll do cooking, 507 00:24:12,680 --> 00:24:14,440 Speaker 3: and so a lot of times they'll help, like this morning, 508 00:24:14,440 --> 00:24:18,239 Speaker 3: actually did some baking with our AI assistant because they 509 00:24:18,280 --> 00:24:20,040 Speaker 3: were all up in there with the flower at seven 510 00:24:20,040 --> 00:24:22,359 Speaker 3: o'clock in the morning, and so we'll do that and 511 00:24:22,400 --> 00:24:24,440 Speaker 3: then we are out the door by seven fifty five, 512 00:24:24,480 --> 00:24:27,720 Speaker 3: and so pretty much like the morning's run pretty smoothly 513 00:24:27,760 --> 00:24:29,480 Speaker 3: at this point that they're a little bit older, they're 514 00:24:29,480 --> 00:24:32,680 Speaker 3: getting themselves dressed and things like that. But we will 515 00:24:32,680 --> 00:24:34,480 Speaker 3: have like a couple of activities sometimes we even do 516 00:24:34,520 --> 00:24:36,320 Speaker 3: in the morning, and I very much rely on them 517 00:24:36,320 --> 00:24:38,760 Speaker 3: to like figure those things out themselves or I'll guide 518 00:24:38,800 --> 00:24:42,040 Speaker 3: them towards learning on their own. And that's been really cool, awesome. 519 00:24:42,240 --> 00:24:43,920 Speaker 1: We're going to take one more quick ad break and 520 00:24:43,960 --> 00:24:58,880 Speaker 1: then i'll be back with more from Rachel fold con Well. 521 00:24:58,920 --> 00:25:01,040 Speaker 1: I am back with Rachel fold Cohen, who's with the 522 00:25:01,080 --> 00:25:04,320 Speaker 1: Silicon Society. We've been talking about AI at home using 523 00:25:04,359 --> 00:25:09,639 Speaker 1: tech tools, and then also various ways that parents might 524 00:25:09,680 --> 00:25:12,800 Speaker 1: have a competitive advantage in the workforce. But here's the 525 00:25:12,920 --> 00:25:14,560 Speaker 1: question that I think a lot of us are wondering. 526 00:25:14,600 --> 00:25:17,360 Speaker 1: As somebody who is sort of steeped in the technology 527 00:25:17,480 --> 00:25:19,760 Speaker 1: culture and knows the upsides of it, and you said, 528 00:25:19,800 --> 00:25:22,440 Speaker 1: your kids use it a lot at school. I'm curious 529 00:25:22,480 --> 00:25:26,719 Speaker 1: how you think about tech guidelines for your children, what 530 00:25:26,760 --> 00:25:28,920 Speaker 1: they are allowed to do, what they are allowed to see, 531 00:25:29,359 --> 00:25:31,800 Speaker 1: what they have access to, and how you envision that 532 00:25:32,000 --> 00:25:34,080 Speaker 1: changing over the next few years. 533 00:25:34,400 --> 00:25:38,359 Speaker 3: Oh, that's a great question, and honestly, I also see 534 00:25:38,520 --> 00:25:40,560 Speaker 3: my approach to those changing over the next few years. 535 00:25:40,560 --> 00:25:42,919 Speaker 3: So I will share where my head is at at 536 00:25:42,920 --> 00:25:45,639 Speaker 3: this exact moment and what I've seen out there. But 537 00:25:45,720 --> 00:25:49,520 Speaker 3: I think this is something that's always shifting. So I 538 00:25:50,080 --> 00:25:52,800 Speaker 3: very much was raised on and believe it in everything 539 00:25:52,800 --> 00:25:56,600 Speaker 3: in moderation mindset, which is why I'm okay with my 540 00:25:56,680 --> 00:25:58,760 Speaker 3: kids having screen time during the week. We've set very 541 00:25:58,760 --> 00:26:02,680 Speaker 3: clear boundaries and works for our family life. But things 542 00:26:02,680 --> 00:26:06,080 Speaker 3: I'll never compromise on is safety, and so things that 543 00:26:06,119 --> 00:26:09,720 Speaker 3: are out there like YouTube kids and parental controls have 544 00:26:09,800 --> 00:26:12,440 Speaker 3: been a huge part of the past few years of 545 00:26:12,440 --> 00:26:14,280 Speaker 3: setting those up as our kids get bigger and realize 546 00:26:14,280 --> 00:26:15,720 Speaker 3: that they know how to search on YouTube if we 547 00:26:15,800 --> 00:26:20,160 Speaker 3: let them, so really setting up strict parental controls and 548 00:26:20,280 --> 00:26:23,000 Speaker 3: device access so like no devices ever go to the room. 549 00:26:23,080 --> 00:26:25,800 Speaker 3: Screen time is always done in public, there's a parent 550 00:26:25,880 --> 00:26:27,920 Speaker 3: sitting around whenever there's a kid on a screen, they'll 551 00:26:27,920 --> 00:26:31,040 Speaker 3: never be alone. Those are things that are like pretty 552 00:26:31,080 --> 00:26:35,520 Speaker 3: firm rules. And our kids' school does have an option 553 00:26:35,680 --> 00:26:37,560 Speaker 3: to be part of a wait until eight packed in 554 00:26:37,640 --> 00:26:40,199 Speaker 3: terms of cell phones, and so that's been really helpful. 555 00:26:40,240 --> 00:26:43,400 Speaker 3: I actually have said to a number of friends recently, 556 00:26:43,400 --> 00:26:45,960 Speaker 3: like I feel like I'm in this like sweet spot 557 00:26:46,440 --> 00:26:49,480 Speaker 3: of my kids are like old enough to be self sufficient, 558 00:26:49,600 --> 00:26:51,800 Speaker 3: but young enough to that they don't have devices, and 559 00:26:51,840 --> 00:26:54,159 Speaker 3: so it's like this, I'm not yet fighting the phone battle, 560 00:26:54,480 --> 00:26:56,760 Speaker 3: and they know that they're not getting one until eighth grade, 561 00:26:57,359 --> 00:26:59,400 Speaker 3: but they're old enough to get themselves dressed. So it's 562 00:26:59,400 --> 00:27:02,399 Speaker 3: like a wonderful in between moment. But those are some 563 00:27:02,520 --> 00:27:06,240 Speaker 3: like the guidelines that said things are changing so fast. 564 00:27:06,280 --> 00:27:08,240 Speaker 3: So for example, like one of my kids loves gaming, 565 00:27:08,359 --> 00:27:10,280 Speaker 3: so we don't let him play any games where there's 566 00:27:10,320 --> 00:27:13,240 Speaker 3: like outside chat or anything like that, and he's pushing 567 00:27:13,280 --> 00:27:15,080 Speaker 3: back on it a little bit, and so it is 568 00:27:15,200 --> 00:27:18,480 Speaker 3: honestly something that I need to research. I was not 569 00:27:18,560 --> 00:27:21,320 Speaker 3: a gamer, so I'm not as familiar with like the 570 00:27:21,359 --> 00:27:24,560 Speaker 3: limitations and safety there, but it's something that I find 571 00:27:24,560 --> 00:27:27,360 Speaker 3: myself just researching more and more. And by the way, 572 00:27:27,400 --> 00:27:29,800 Speaker 3: that's Another great use case for AI is like researching 573 00:27:30,200 --> 00:27:32,439 Speaker 3: things like this, I'll always then click on the source 574 00:27:33,080 --> 00:27:35,359 Speaker 3: the sources. So right now, basically any LM you use 575 00:27:35,400 --> 00:27:37,080 Speaker 3: will have a source that you can click on, which 576 00:27:37,119 --> 00:27:38,439 Speaker 3: it didn't used to have, So you want to make 577 00:27:38,480 --> 00:27:41,560 Speaker 3: sure that there's like actual sources there. But it's a 578 00:27:41,560 --> 00:27:44,920 Speaker 3: great use case for like understanding a safety landscape. 579 00:27:45,280 --> 00:27:48,480 Speaker 1: Yeah. No, my ten year old loves gaming with friends, 580 00:27:48,560 --> 00:27:51,399 Speaker 1: and so you need to have the ability to chat 581 00:27:51,440 --> 00:27:55,480 Speaker 1: with them, to team up exactly to do that strategy 582 00:27:55,720 --> 00:27:58,239 Speaker 1: that you know, you're who knows who they're playing with 583 00:27:58,320 --> 00:28:00,399 Speaker 1: against because they can't talk to them, but you know 584 00:28:00,520 --> 00:28:03,680 Speaker 1: these totally maybe adults who are being pounded by these 585 00:28:03,680 --> 00:28:05,360 Speaker 1: ten year old boys, but anyway, you know. 586 00:28:06,480 --> 00:28:08,679 Speaker 3: Totally well, and it's so easy. Like for me, it's like, 587 00:28:08,880 --> 00:28:10,720 Speaker 3: I think much easier for me to set rules for 588 00:28:10,800 --> 00:28:13,080 Speaker 3: my oldest than for my youngest. Like he's already watching 589 00:28:13,080 --> 00:28:14,840 Speaker 3: and doing things that I would have never let my 590 00:28:14,880 --> 00:28:17,320 Speaker 3: ten year old when he was six do. And so 591 00:28:17,359 --> 00:28:19,080 Speaker 3: I do feel like there's a natural like you just 592 00:28:19,200 --> 00:28:22,040 Speaker 3: learn so much as with your older kids as you 593 00:28:22,119 --> 00:28:24,960 Speaker 3: learn these safety guidelines and then hopefully that benefits the 594 00:28:24,960 --> 00:28:26,720 Speaker 3: younger kids a bit more with what they're comfortable with, 595 00:28:26,840 --> 00:28:29,360 Speaker 3: but it could also go the other ways. So time 596 00:28:29,400 --> 00:28:30,600 Speaker 3: will tell, time. 597 00:28:30,440 --> 00:28:33,760 Speaker 1: Will tell exactly. Well, Rachel, we always do a Love 598 00:28:33,880 --> 00:28:36,760 Speaker 1: of the Week, So this is something that is exciting 599 00:28:36,840 --> 00:28:39,760 Speaker 1: for you right now. I could go first, and I 600 00:28:40,120 --> 00:28:42,360 Speaker 1: longtime listeners have heard me say that's probably a million times. 601 00:28:42,440 --> 00:28:47,800 Speaker 1: But I really love the Kindle app. Yeah, because you 602 00:28:47,840 --> 00:28:52,360 Speaker 1: can get a book so quickly, the instant gratification of 603 00:28:52,440 --> 00:28:55,800 Speaker 1: getting a book and being able to start reading it 604 00:28:55,920 --> 00:28:59,600 Speaker 1: right where you are. Do I prefer reading books that 605 00:28:59,680 --> 00:29:04,120 Speaker 1: are on paper, of course I do, but you could 606 00:29:04,120 --> 00:29:08,000 Speaker 1: give up a lot of that nicer experience in order 607 00:29:08,040 --> 00:29:11,440 Speaker 1: to have the immediacy. It's been really helpful lately. I've 608 00:29:11,480 --> 00:29:13,000 Speaker 1: had a few people I've needed to talk to that 609 00:29:13,040 --> 00:29:14,840 Speaker 1: I was like, I didn't you know, I wanted to 610 00:29:14,840 --> 00:29:16,960 Speaker 1: at least glance through their book before I talked to them, 611 00:29:17,000 --> 00:29:19,680 Speaker 1: and I could because it was right there, you know, 612 00:29:19,760 --> 00:29:21,560 Speaker 1: in the hour before you chat. So I'm thinking, so 613 00:29:22,320 --> 00:29:24,400 Speaker 1: Kindle app is a big one for me. How about you? 614 00:29:25,120 --> 00:29:27,600 Speaker 3: Yeah? I love that. I love the focus like accessibility, 615 00:29:27,720 --> 00:29:29,200 Speaker 3: Like does knowledge being more accessible? 616 00:29:29,320 --> 00:29:32,120 Speaker 1: I'm gonna go a totally different direction, Okay, let's do it. 617 00:29:32,680 --> 00:29:36,000 Speaker 3: My love for the week is instant coffee. Ooh yes, okay, 618 00:29:36,120 --> 00:29:38,120 Speaker 3: I feel like it is one of my parenting hacks. 619 00:29:38,280 --> 00:29:41,960 Speaker 3: It is low tech, but it genuinely gives me time back, 620 00:29:42,040 --> 00:29:45,120 Speaker 3: Like I was someone who would do my pour over 621 00:29:45,320 --> 00:29:47,560 Speaker 3: my French press, which on the weekends I'll still love. 622 00:29:47,640 --> 00:29:49,880 Speaker 3: But lately I've just been instant coffee in the morning 623 00:29:49,920 --> 00:29:51,800 Speaker 3: and it gets me like right into my morning mix, 624 00:29:52,120 --> 00:29:54,520 Speaker 3: the morning routine we talked about, and honestly, I think 625 00:29:54,600 --> 00:29:57,400 Speaker 3: makes me like a better parent and a better like 626 00:29:57,440 --> 00:30:00,360 Speaker 3: extra coffee between zoom meetings, and so I'm just really 627 00:30:00,440 --> 00:30:05,000 Speaker 3: appreciating instant coffee these days. And for like basic innovations. 628 00:30:04,640 --> 00:30:05,840 Speaker 1: It's gotten a lot better. 629 00:30:06,640 --> 00:30:08,719 Speaker 3: It really, honest thank you for saying that. 630 00:30:08,800 --> 00:30:11,960 Speaker 1: It really has. Really, I just like, you know, back 631 00:30:12,000 --> 00:30:14,760 Speaker 1: in the day, I was like, oh, it's got like 632 00:30:14,800 --> 00:30:17,440 Speaker 1: the bad church basement vibe of you know, in the 633 00:30:17,480 --> 00:30:19,520 Speaker 1: little like totally. No. 634 00:30:19,520 --> 00:30:23,640 Speaker 3: Now they have like French roast instant coffee, vanilla instant coffee. 635 00:30:23,680 --> 00:30:25,000 Speaker 3: No shame, It's great. 636 00:30:25,400 --> 00:30:27,520 Speaker 1: No shame. If it gives you a few minutes back 637 00:30:27,520 --> 00:30:29,360 Speaker 1: in your life, all the better. You know, what you 638 00:30:29,520 --> 00:30:31,960 Speaker 1: use that for is up to you. Well, Rachel, where 639 00:30:32,000 --> 00:30:32,880 Speaker 1: can people find you? 640 00:30:33,440 --> 00:30:36,400 Speaker 3: Yes, so you can find me on LinkedIn, Rachel fold Cohen, 641 00:30:36,920 --> 00:30:41,480 Speaker 3: on Instagram, at Silicon Society, and on LinkedIn at Silicon Society. 642 00:30:41,760 --> 00:30:43,840 Speaker 1: Awesome, Well, thank you so much for joining us. 643 00:30:44,120 --> 00:30:45,600 Speaker 3: Thank you for your time. This was a blast. 644 00:30:46,200 --> 00:30:48,920 Speaker 1: Well we are back. Always fun to talk about tech 645 00:30:49,000 --> 00:30:52,720 Speaker 1: and how we can use it in our lives. So, Sarah, 646 00:30:52,760 --> 00:30:55,200 Speaker 1: this question comes from a listener who, as we are 647 00:30:55,200 --> 00:30:57,240 Speaker 1: coming into summer at the end of the school year, 648 00:30:57,800 --> 00:31:00,800 Speaker 1: wants to know do you do anything to avoid summer 649 00:31:00,960 --> 00:31:03,080 Speaker 1: brain drain with your kids. 650 00:31:04,040 --> 00:31:06,560 Speaker 2: I think that the phrase is funny, and then part 651 00:31:06,560 --> 00:31:08,880 Speaker 2: of me is like, oh, is it like extra to 652 00:31:08,960 --> 00:31:12,160 Speaker 2: admit that you don't want your kids to fall behind? 653 00:31:12,200 --> 00:31:14,120 Speaker 2: But I don't think it's about falling behind. I think 654 00:31:14,120 --> 00:31:16,600 Speaker 2: it's more about I want to make sure that they 655 00:31:16,800 --> 00:31:21,560 Speaker 2: are doing some things over the summer that are beyond 656 00:31:21,920 --> 00:31:25,120 Speaker 2: just like staring at screens and playing with friends. I 657 00:31:25,120 --> 00:31:27,680 Speaker 2: don't know, it's an interesting question. It's good, but yeah, 658 00:31:27,720 --> 00:31:30,000 Speaker 2: playing with friends is great. Actually, yes, I guess we 659 00:31:30,080 --> 00:31:32,880 Speaker 2: do mostly just to encourage reading, because it's harder to 660 00:31:32,880 --> 00:31:36,240 Speaker 2: fit in reading during the school year. Different kids have 661 00:31:36,360 --> 00:31:39,400 Speaker 2: various enjoyment levels out of reading. But I find it's 662 00:31:39,400 --> 00:31:41,360 Speaker 2: an activity where if the more they do it, the 663 00:31:41,400 --> 00:31:44,040 Speaker 2: more they seem to like to do it. And so 664 00:31:44,520 --> 00:31:49,920 Speaker 2: this year we've actually kind of discussed having some monetary 665 00:31:49,960 --> 00:31:52,960 Speaker 2: rewards for reading. We have not entirely fleshed out our structure, 666 00:31:53,000 --> 00:31:55,240 Speaker 2: but the kids are into the idea. I just need 667 00:31:55,280 --> 00:31:57,000 Speaker 2: to figure out how to implement it in a way 668 00:31:57,040 --> 00:32:00,680 Speaker 2: that isn't totally unfair or silly. For example, some of 669 00:32:00,720 --> 00:32:03,600 Speaker 2: the books that Genevieve reads might take fifteen minutes, and 670 00:32:03,640 --> 00:32:08,200 Speaker 2: I don't need her getting some massive reward versus a 671 00:32:08,280 --> 00:32:10,320 Speaker 2: kid that a book that a big kid might read 672 00:32:10,560 --> 00:32:12,400 Speaker 2: could take a couple of weeks. 673 00:32:12,600 --> 00:32:14,040 Speaker 1: Well, can you do it time based? 674 00:32:15,320 --> 00:32:20,160 Speaker 2: Yes and no, because I feel like then it's hard 675 00:32:20,200 --> 00:32:23,640 Speaker 2: to know are they really reading? Like I kind of 676 00:32:23,680 --> 00:32:24,120 Speaker 2: think I'd. 677 00:32:24,040 --> 00:32:26,160 Speaker 1: Rather just slip through it too, I mean, unless you're 678 00:32:26,160 --> 00:32:28,600 Speaker 1: doing a pop quiz at the end, or requiring a 679 00:32:28,640 --> 00:32:34,160 Speaker 1: paper summarizing the main thesis behind that ya novel, like 680 00:32:34,240 --> 00:32:35,480 Speaker 1: you don't know anyway. 681 00:32:35,320 --> 00:32:37,920 Speaker 2: There might be a required like no, not a thesis, 682 00:32:37,920 --> 00:32:39,360 Speaker 2: but for them to tell me what it was about 683 00:32:39,560 --> 00:32:41,239 Speaker 2: in their own voice, And that way, they can't use 684 00:32:41,280 --> 00:32:45,400 Speaker 2: AI because they have to say it to me, unless they're. 685 00:32:45,240 --> 00:32:49,200 Speaker 1: Really sneaky, they get AI to tell what it was about, they. 686 00:32:49,120 --> 00:32:51,200 Speaker 2: Memorize that, they come back and report they have a 687 00:32:51,240 --> 00:32:52,600 Speaker 2: headphone on it's feeding them. 688 00:32:54,200 --> 00:32:55,600 Speaker 1: I wrote it out, mom, and now I'm going to 689 00:32:55,640 --> 00:32:56,120 Speaker 1: read it to you. 690 00:32:57,000 --> 00:32:59,400 Speaker 2: Yeah, there's at least one kid in my house who 691 00:32:59,400 --> 00:33:02,040 Speaker 2: would benefit from some math practice, So we are going 692 00:33:02,120 --> 00:33:06,920 Speaker 2: to encourage that as well. I think beyond that, we're 693 00:33:06,920 --> 00:33:09,640 Speaker 2: not super aggressive. But yeah, I guess I don't love 694 00:33:09,640 --> 00:33:11,560 Speaker 2: the idea of I'm just doing nothing and then starting 695 00:33:11,560 --> 00:33:13,920 Speaker 2: the new school year having forgotten lots. 696 00:33:13,720 --> 00:33:16,320 Speaker 1: Of what they learned. So okay, fine, we do we do? 697 00:33:16,480 --> 00:33:18,760 Speaker 1: All right? What about you? We'll tease it out of 698 00:33:18,800 --> 00:33:22,000 Speaker 1: you eventually. I'm not a type a mom at all. 699 00:33:22,040 --> 00:33:26,680 Speaker 1: I'm not. Yeah, I really am not. But I feel 700 00:33:26,680 --> 00:33:29,880 Speaker 1: like the upside of summers you're learning different things and 701 00:33:29,960 --> 00:33:31,960 Speaker 1: different skills, and you get a chance to try out 702 00:33:32,000 --> 00:33:36,440 Speaker 1: different parts of knowledge. Like, for instance, Ruth will be 703 00:33:36,480 --> 00:33:38,400 Speaker 1: in a theater camp for two weeks, and so she'll 704 00:33:38,400 --> 00:33:41,880 Speaker 1: have to memorize lines and songs and work on choreography, 705 00:33:41,920 --> 00:33:43,960 Speaker 1: and that's just a different skill than what you'd normally 706 00:33:44,040 --> 00:33:45,800 Speaker 1: be doing during the year. Unless you're doing the school 707 00:33:45,800 --> 00:33:49,640 Speaker 1: play or something I guess, or going to sleep away camp. 708 00:33:49,640 --> 00:33:51,239 Speaker 1: That's going to be different skills, but you're still going 709 00:33:51,280 --> 00:33:55,120 Speaker 1: to be learning things with sailing or horseback riding or 710 00:33:55,720 --> 00:33:59,680 Speaker 1: pitching a tent to various different things that kids are 711 00:33:59,760 --> 00:34:03,200 Speaker 1: learning learning as part of that. Josh ber will be 712 00:34:03,200 --> 00:34:05,160 Speaker 1: at a vocal camp for a while, so he'll be 713 00:34:05,240 --> 00:34:09,560 Speaker 1: learning music as part of that. Sam is actually taking 714 00:34:09,560 --> 00:34:12,759 Speaker 1: two online courses this summer to get credit for that 715 00:34:12,960 --> 00:34:15,200 Speaker 1: for not having to have it in his schedule next year, 716 00:34:15,320 --> 00:34:18,560 Speaker 1: So he will be entirely taken care of on the 717 00:34:18,760 --> 00:34:23,960 Speaker 1: academic front. And I believe Alex will likely have a 718 00:34:24,040 --> 00:34:28,680 Speaker 1: required math component this summer because the way they do it, 719 00:34:28,760 --> 00:34:32,800 Speaker 1: they then have kids skip fifth grade math and start 720 00:34:32,840 --> 00:34:34,880 Speaker 1: in sixth grade math in fifth grade and so then 721 00:34:35,400 --> 00:34:37,239 Speaker 1: you have to do it over the summer to get 722 00:34:37,239 --> 00:34:39,680 Speaker 1: into it in the fall. Anyway, so he will have that. 723 00:34:41,000 --> 00:34:43,800 Speaker 1: Beyond that, I don't know, I would like them to read. 724 00:34:44,080 --> 00:34:46,040 Speaker 1: I think we're going to try to have some sort 725 00:34:46,040 --> 00:34:50,799 Speaker 1: of still enforced non screen time at night. I don't 726 00:34:50,840 --> 00:34:53,360 Speaker 1: know exactly what that's going to look like, but that 727 00:34:53,520 --> 00:34:55,200 Speaker 1: is with the time when the younger kids at least 728 00:34:55,200 --> 00:34:58,160 Speaker 1: will be looking at books. I mean, this is really 729 00:34:58,200 --> 00:35:00,919 Speaker 1: like Alex and Ruth. I'm going to be thinking about 730 00:35:00,920 --> 00:35:05,480 Speaker 1: this with I'd like Henry to learn to read. Maybe 731 00:35:05,520 --> 00:35:08,640 Speaker 1: that'll be the summer project. I don't know, you never know. 732 00:35:08,800 --> 00:35:10,960 Speaker 2: I mean every kid at their own pace. I one 733 00:35:11,040 --> 00:35:13,279 Speaker 2: kid read early of mine, and then another two none 734 00:35:13,280 --> 00:35:13,560 Speaker 2: at all. 735 00:35:13,680 --> 00:35:17,399 Speaker 1: So yeah, just never know. Yeah, it's hard to tell. 736 00:35:17,440 --> 00:35:20,800 Speaker 1: He gauged his interest in it. He likes the chapter 737 00:35:20,840 --> 00:35:24,040 Speaker 1: books we're reading now. So we're reading the Dragonmasters series 738 00:35:24,440 --> 00:35:27,360 Speaker 1: and we are reading the Magic Treehouse series kind of 739 00:35:27,400 --> 00:35:30,040 Speaker 1: interspersed with another. We'll read like two chapters from one 740 00:35:30,040 --> 00:35:32,160 Speaker 1: and one chapter from another on the same night. He 741 00:35:32,280 --> 00:35:35,640 Speaker 1: likes to move forward in two books simultaneously with that, 742 00:35:35,760 --> 00:35:40,359 Speaker 1: which is good. But in the other day, we had 743 00:35:40,400 --> 00:35:43,560 Speaker 1: a little incident where somebody gave him mountain dew. I 744 00:35:43,600 --> 00:35:46,839 Speaker 1: don't know what happened, and I was spelling out that 745 00:35:46,880 --> 00:35:49,800 Speaker 1: he was not to be given mountain dew ever again, 746 00:35:49,880 --> 00:35:53,800 Speaker 1: and I was saying, we're not going to purchase moun 747 00:35:53,960 --> 00:35:56,400 Speaker 1: Tai and he's like, but I like Mountain Dew, and 748 00:35:56,440 --> 00:36:01,280 Speaker 1: I'm like, yes, that's so funny. 749 00:36:01,840 --> 00:36:04,759 Speaker 2: Maybe he can read already. Maybe he's just holding it 750 00:36:04,760 --> 00:36:06,520 Speaker 2: from you. Wait, I have to share what I'm reading 751 00:36:06,520 --> 00:36:09,279 Speaker 2: to Genevieve right now, just because I feel like if 752 00:36:09,320 --> 00:36:11,400 Speaker 2: you're in our generation, like you're just gonna be like, Yes. 753 00:36:12,200 --> 00:36:14,839 Speaker 2: We are reading The Babysitters Club Super Special number one, 754 00:36:14,920 --> 00:36:18,200 Speaker 2: Babysitters on Board, Yes, which features a cruise and a 755 00:36:18,200 --> 00:36:19,960 Speaker 2: trip to Disney World. And as I'm reading it, I'm 756 00:36:19,960 --> 00:36:23,160 Speaker 2: like realizing I probably read it fifteen times, Like everything 757 00:36:23,200 --> 00:36:26,160 Speaker 2: is familiar. I knew which manicure color that Karen was 758 00:36:26,160 --> 00:36:27,920 Speaker 2: gonna pick. I was like, oh, yeah, the light purple 759 00:36:28,080 --> 00:36:31,520 Speaker 2: nail polish. Then she picks like it is so fun 760 00:36:31,760 --> 00:36:34,600 Speaker 2: to revisit that, and she loves it, so it's still the. 761 00:36:34,600 --> 00:36:38,680 Speaker 1: Test of time. Yeah, well that's great, that's exciting. We 762 00:36:38,920 --> 00:36:41,399 Speaker 1: have had a lot of Babysitters Club Super Specials read 763 00:36:41,400 --> 00:36:43,600 Speaker 1: around here, although I have not re read them, but 764 00:36:43,640 --> 00:36:45,840 Speaker 1: maybe I should, Maybe I should pick them up. I 765 00:36:45,880 --> 00:36:48,520 Speaker 1: don't know. Alex has been reading a bunch of these 766 00:36:49,160 --> 00:36:53,120 Speaker 1: history books. They're sort of not really historical fiction. They're 767 00:36:53,160 --> 00:36:57,919 Speaker 1: more like telling the tales of like World War One 768 00:36:57,960 --> 00:37:00,840 Speaker 1: and World War Two. And the Viking is another various 769 00:37:00,880 --> 00:37:05,200 Speaker 1: like Little Boy exciting things Alexander the Great, but in 770 00:37:05,239 --> 00:37:09,760 Speaker 1: these little nuggets of anecdotes, so they keep you reading, 771 00:37:09,760 --> 00:37:11,360 Speaker 1: and so throw those out there too. I wish I 772 00:37:11,360 --> 00:37:12,640 Speaker 1: had the name in front of me right now, but 773 00:37:12,680 --> 00:37:12,920 Speaker 1: I don't. 774 00:37:13,160 --> 00:37:14,640 Speaker 2: I think I know what you're talking about, because Cameron 775 00:37:14,719 --> 00:37:15,440 Speaker 2: likes a. 776 00:37:15,400 --> 00:37:17,800 Speaker 1: Really famous podcast. He's like the one of the top 777 00:37:18,000 --> 00:37:20,520 Speaker 1: history podcasters, and he's written all these books for children. 778 00:37:20,920 --> 00:37:23,080 Speaker 2: Well, someone can fill in the blank. Camra like's the 779 00:37:23,120 --> 00:37:25,640 Speaker 2: ones that are focused on disasters. There's one of those 780 00:37:25,640 --> 00:37:28,520 Speaker 2: are good, and then there's one about like I survived, 781 00:37:28,719 --> 00:37:29,440 Speaker 2: Like I survived. 782 00:37:29,480 --> 00:37:33,800 Speaker 1: Yeah, that sounds Saint Helen's exactly. Yeah. Those are another 783 00:37:34,360 --> 00:37:37,040 Speaker 1: big win as well. And Harry Potter will always do 784 00:37:37,040 --> 00:37:40,120 Speaker 1: a shadow for Harry Potter. All right, well, this has 785 00:37:40,160 --> 00:37:42,920 Speaker 1: been best of both worlds. I've been interviewing Rachel full 786 00:37:43,000 --> 00:37:47,759 Speaker 1: Cohen about tech and parenting. We've been talking about our 787 00:37:47,800 --> 00:37:50,879 Speaker 1: favorite apps and summer brain drain. We will be back 788 00:37:50,920 --> 00:37:53,600 Speaker 1: next week with more on making work and life fit together. 789 00:37:55,760 --> 00:37:58,520 Speaker 2: Thanks for listening. You can find me Sarah at the 790 00:37:58,560 --> 00:38:03,160 Speaker 2: shoebox dot com, at the Underscore shoe Box on Instagram, 791 00:38:03,360 --> 00:38:03,759 Speaker 2: and you. 792 00:38:03,640 --> 00:38:07,840 Speaker 1: Can find me Laura at Laura Vandercam dot com. This 793 00:38:07,960 --> 00:38:11,239 Speaker 1: has been the best of both worlds podcasts. Please join 794 00:38:11,320 --> 00:38:14,040 Speaker 1: us next time for more on making work and life 795 00:38:14,160 --> 00:38:14,840 Speaker 1: work together.