1 00:00:04,120 --> 00:00:05,840 Speaker 1: There Are No Girls on the Internet, as a production 2 00:00:05,880 --> 00:00:13,400 Speaker 1: of iHeartRadio and Unbossed Creative. I'm bridget Todd and this 3 00:00:13,480 --> 00:00:18,360 Speaker 1: is There Are No Girls on the Internet. March is 4 00:00:18,400 --> 00:00:22,759 Speaker 1: Women's History months, and this year honoring women's contributions feels 5 00:00:22,840 --> 00:00:25,919 Speaker 1: less like a celebration and frankly, more like an act 6 00:00:25,960 --> 00:00:29,560 Speaker 1: of resistance. So today I want to introduce you to 7 00:00:29,600 --> 00:00:34,320 Speaker 1: someone who shapes the way that we all experience technology. 8 00:00:33,240 --> 00:00:34,920 Speaker 2: Even if you've never heard of her name. 9 00:00:35,400 --> 00:00:39,280 Speaker 1: Susan Carer. She designed the visual language of the early 10 00:00:39,360 --> 00:00:43,559 Speaker 1: Mac the icons, the fonts, the look and feel that 11 00:00:43,640 --> 00:00:47,360 Speaker 1: made personal computing something that people actually wanted to touch 12 00:00:47,400 --> 00:00:50,400 Speaker 1: and use. Back in twenty twenty one, I've joined my 13 00:00:50,440 --> 00:00:53,840 Speaker 1: friends Samantha and Annie over at the podcast Stuff Mom 14 00:00:53,880 --> 00:00:57,120 Speaker 1: Never told you to dig into Susan Care's legacy, where 15 00:00:57,160 --> 00:00:59,600 Speaker 1: she came from, what she built, and why it still 16 00:00:59,640 --> 00:01:00,440 Speaker 1: matters today. 17 00:01:05,600 --> 00:01:08,560 Speaker 3: Hey, this is Annie and Samantha and welcome to Stephane 18 00:01:08,600 --> 00:01:20,880 Speaker 3: Never Told You production of iHeartRadio. Today, we're so thrilled 19 00:01:21,040 --> 00:01:25,240 Speaker 3: to be joining the virtual studios space by our friend 20 00:01:25,520 --> 00:01:27,440 Speaker 3: and colleague Bridget Todd. 21 00:01:27,520 --> 00:01:29,319 Speaker 4: Hello, Bridgete, Hello. 22 00:01:29,120 --> 00:01:30,759 Speaker 1: I'm so excited to be back here with you all 23 00:01:31,080 --> 00:01:34,080 Speaker 1: who say we missed you, welcome back, thank you, thank you. 24 00:01:34,160 --> 00:01:35,000 Speaker 2: I missed you too. 25 00:01:35,040 --> 00:01:39,600 Speaker 5: As always, though we know we know you're constantly going. 26 00:01:40,240 --> 00:01:42,679 Speaker 2: Well, I can always make room for my two favorite ladies. 27 00:01:43,040 --> 00:01:48,600 Speaker 3: Oh yes, we were discussing before this. We're very excited 28 00:01:48,640 --> 00:01:52,200 Speaker 3: for this topic, particularly because we have different levels of 29 00:01:52,240 --> 00:01:55,640 Speaker 3: experience when it comes to computers and technology, and in 30 00:01:55,960 --> 00:01:59,920 Speaker 3: this case, Samantha, you're saying you don't know Mac very well. 31 00:02:00,400 --> 00:02:03,520 Speaker 5: No, I am so not in the loop. I've never 32 00:02:03,720 --> 00:02:06,520 Speaker 5: used the Mac. I don't have an iPhone. I'm so 33 00:02:06,640 --> 00:02:08,919 Speaker 5: far away from those products, and I'm a little scared 34 00:02:08,960 --> 00:02:11,680 Speaker 5: of it because every time I've been on a friends, 35 00:02:11,720 --> 00:02:13,880 Speaker 5: I literally look at it and touch a button, something 36 00:02:13,880 --> 00:02:14,679 Speaker 5: goes around and I hate it. 37 00:02:14,840 --> 00:02:17,000 Speaker 2: Like back, I'm like, I'm sorry, You're like I launched 38 00:02:17,000 --> 00:02:17,840 Speaker 2: a missile. I don't know what. 39 00:02:18,400 --> 00:02:19,040 Speaker 4: I'm sorry. 40 00:02:19,240 --> 00:02:21,640 Speaker 5: I'm pretty sure I just started a war somewhere. I'm 41 00:02:21,680 --> 00:02:22,920 Speaker 5: so sorry. 42 00:02:23,720 --> 00:02:26,320 Speaker 4: I like that, do though, because my phone is the swipe. 43 00:02:26,000 --> 00:02:28,320 Speaker 3: And one time my friend handed me her phone and 44 00:02:28,440 --> 00:02:29,760 Speaker 3: was like, can you text this message? 45 00:02:29,880 --> 00:02:31,640 Speaker 4: And it was not a swipe and I stared at 46 00:02:31,680 --> 00:02:34,560 Speaker 4: it like this makes no sense to me. I cannot 47 00:02:34,639 --> 00:02:35,520 Speaker 4: figure this out. 48 00:02:39,400 --> 00:02:42,160 Speaker 5: Yeah, when it becomes like technology, when you're used to 49 00:02:42,240 --> 00:02:44,800 Speaker 5: one way and then you try and figure out something else, 50 00:02:45,040 --> 00:02:46,040 Speaker 5: I feel like it's a trap. 51 00:02:46,400 --> 00:02:49,160 Speaker 1: It's so true, it's so true. So I use an iPhone. 52 00:02:49,480 --> 00:02:51,760 Speaker 1: Most of my friends do not use iPhones. They use 53 00:02:51,840 --> 00:02:54,480 Speaker 1: like Google pixels. When I am handed at Google pixel, 54 00:02:54,480 --> 00:02:56,080 Speaker 1: it does not matter how many times I have. 55 00:02:56,160 --> 00:02:58,320 Speaker 2: Been schooled and how to do the most the. 56 00:02:58,280 --> 00:03:02,359 Speaker 1: Most basic stuff right, anything advanced, I have to ask that, wait, 57 00:03:02,440 --> 00:03:05,399 Speaker 1: is this is it that every time without right? 58 00:03:06,200 --> 00:03:07,799 Speaker 4: Which actually relates really well. 59 00:03:07,880 --> 00:03:11,440 Speaker 3: So what we're talking about today, So who did you 60 00:03:11,440 --> 00:03:12,960 Speaker 3: bring for us to discuss rigid? 61 00:03:13,280 --> 00:03:15,119 Speaker 2: So today we're discussing Susan Care. 62 00:03:15,320 --> 00:03:17,720 Speaker 1: I'm so excited to talk about her, mostly because so 63 00:03:17,720 --> 00:03:19,440 Speaker 1: it's Women's History months, and so I think it's a 64 00:03:19,440 --> 00:03:22,560 Speaker 1: good time to honor women who, you know, maybe don't 65 00:03:22,560 --> 00:03:26,560 Speaker 1: always get a lot of the loud public support. 66 00:03:26,720 --> 00:03:27,760 Speaker 2: And also the fact that. 67 00:03:27,720 --> 00:03:31,320 Speaker 1: Susan Care, despite being very much part of tech history, 68 00:03:31,600 --> 00:03:33,880 Speaker 1: she's still alive, She's still with us. I'm a big 69 00:03:33,960 --> 00:03:36,960 Speaker 1: believer in giving people their flowers while they're still alive 70 00:03:37,000 --> 00:03:39,960 Speaker 1: to smell them, and so not waiting until someone is 71 00:03:40,560 --> 00:03:42,040 Speaker 1: no longer here to be like. 72 00:03:42,000 --> 00:03:43,160 Speaker 2: Oh, I loved their work. 73 00:03:43,160 --> 00:03:46,080 Speaker 1: I loved their work, but celebrating their achievements and their 74 00:03:46,160 --> 00:03:49,840 Speaker 1: legacy while they're still here. She's very much still in tech, 75 00:03:50,000 --> 00:03:50,720 Speaker 1: making tech. 76 00:03:50,640 --> 00:03:53,080 Speaker 2: History as we speak. And I also just feel like 77 00:03:53,120 --> 00:03:54,360 Speaker 2: sometimes I come on the show. 78 00:03:54,200 --> 00:03:57,040 Speaker 1: And I bring topics that are a little negative, because 79 00:03:57,640 --> 00:04:00,280 Speaker 1: let's face it, sometimes being a woman on the inner. 80 00:04:00,480 --> 00:04:05,080 Speaker 2: Is not that fun. But there's also lots of fun, joyous, cool, 81 00:04:05,400 --> 00:04:06,839 Speaker 2: perky aspects of it as well. 82 00:04:07,120 --> 00:04:10,800 Speaker 3: Yes, and I never heard about her story, and I 83 00:04:10,840 --> 00:04:13,760 Speaker 3: loved it so much because I know we've talked before 84 00:04:13,880 --> 00:04:17,840 Speaker 3: on the show a lot about women in technology space 85 00:04:17,960 --> 00:04:21,600 Speaker 3: and now there is often that these negative aspects to 86 00:04:21,640 --> 00:04:25,400 Speaker 3: it are being intimidated off of it in various ways. 87 00:04:25,839 --> 00:04:29,520 Speaker 3: And as somebody who's really creative, like we're in my 88 00:04:29,880 --> 00:04:32,400 Speaker 3: cosplay closet as I call it in here, but like, 89 00:04:32,760 --> 00:04:37,160 Speaker 3: I love the application of how she got into technology. 90 00:04:37,240 --> 00:04:39,520 Speaker 4: I think it is such a great story. 91 00:04:40,000 --> 00:04:41,320 Speaker 2: Yes, yeah, so let's get into it. 92 00:04:41,320 --> 00:04:43,479 Speaker 1: I mean, so, if you've ever spent any time around 93 00:04:43,560 --> 00:04:47,280 Speaker 1: not just Max but computers in general, you've probably encountered 94 00:04:47,320 --> 00:04:49,120 Speaker 1: Susan Care's work for her legacy. 95 00:04:49,400 --> 00:04:51,720 Speaker 2: So first and foremost, I should say if you have. 96 00:04:51,760 --> 00:04:55,320 Speaker 1: Not seen a picture of her, There's an iconic picture 97 00:04:55,360 --> 00:04:59,159 Speaker 1: of her with this like awesome eighties blown out curly 98 00:04:59,240 --> 00:05:02,159 Speaker 1: hair and a sweatshirt and these like amazing New Balance 99 00:05:02,160 --> 00:05:04,880 Speaker 1: sneakers with her sneakers kicked up on her desk at 100 00:05:04,880 --> 00:05:09,280 Speaker 1: her old school computer. Y'all please google a picture of her, 101 00:05:09,320 --> 00:05:12,680 Speaker 1: because it is iconic and truly just this one picture. 102 00:05:12,720 --> 00:05:15,520 Speaker 1: I saw it on the subreddit old school Cool. I 103 00:05:15,560 --> 00:05:17,000 Speaker 1: was like, who is this woman? I have to look 104 00:05:17,000 --> 00:05:19,520 Speaker 1: her up and find out everything about her. She's amazing. 105 00:05:19,960 --> 00:05:22,479 Speaker 3: Yes, it's so effortlessly cool in a way that I 106 00:05:22,520 --> 00:05:23,279 Speaker 3: will never achieve. 107 00:05:23,320 --> 00:05:25,520 Speaker 4: Like. I saw it and I was like, wow. 108 00:05:26,320 --> 00:05:28,240 Speaker 5: I mean like I'm looking at it right now. I 109 00:05:28,279 --> 00:05:30,360 Speaker 5: have to google it, and I'm like, this is kind 110 00:05:30,400 --> 00:05:33,279 Speaker 5: of what people want to look like today. I saw 111 00:05:33,520 --> 00:05:36,440 Speaker 5: the outdated computers in the background, which, by the way, 112 00:05:36,640 --> 00:05:38,640 Speaker 5: I use those in elementary school, so don't start with 113 00:05:38,680 --> 00:05:44,400 Speaker 5: me by like, I'm like, no, where you are. She 114 00:05:44,560 --> 00:05:46,520 Speaker 5: is exactly what people are like, Oh we want to 115 00:05:46,560 --> 00:05:48,200 Speaker 5: look like this. This is such a great throwback, and 116 00:05:48,279 --> 00:05:51,520 Speaker 5: she looks so comfortable, so relaxed and ridiculously cool. I 117 00:05:51,560 --> 00:05:52,479 Speaker 5: want to be this cool. 118 00:05:52,880 --> 00:05:55,280 Speaker 2: Yes, she is an advertisement Forever Lane. 119 00:05:55,400 --> 00:05:59,640 Speaker 1: I feel like that normcore vibe, baggy sweatshirt and relaxed fit. 120 00:05:59,760 --> 00:06:01,240 Speaker 2: G she's rocking it. 121 00:06:01,400 --> 00:06:03,719 Speaker 1: Honestly, you could wear the outfit that she's wearing in 122 00:06:03,760 --> 00:06:05,760 Speaker 1: like nineteen eighty whatever this photo was taken. 123 00:06:06,000 --> 00:06:08,280 Speaker 2: You could wear today and people will be like, oh, 124 00:06:08,320 --> 00:06:08,920 Speaker 2: cool outfit. 125 00:06:09,200 --> 00:06:12,240 Speaker 5: Yeah, that's what I'm saying, Like this outfit looks so comfortable. 126 00:06:12,240 --> 00:06:16,280 Speaker 5: But again, yeah, she looks so freaking stylish that I'm like, uh, 127 00:06:16,320 --> 00:06:18,360 Speaker 5: I don't want to be back here in this fashion 128 00:06:18,360 --> 00:06:20,200 Speaker 5: because I did wear that once upon a time, and 129 00:06:20,240 --> 00:06:21,520 Speaker 5: that was when it was supposed to be cool, when 130 00:06:21,560 --> 00:06:22,440 Speaker 5: I was a young baby. 131 00:06:22,520 --> 00:06:25,920 Speaker 2: So I love it. 132 00:06:26,000 --> 00:06:29,839 Speaker 1: So Susan Carer she defigned a huge part of the 133 00:06:29,880 --> 00:06:33,560 Speaker 1: digital infrastructure of using a Mac computer back in the eighties. 134 00:06:33,600 --> 00:06:35,920 Speaker 1: And so I'm talking all of the fonts, all of 135 00:06:35,960 --> 00:06:39,000 Speaker 1: the typography, and all of the little icons. And so 136 00:06:39,520 --> 00:06:41,919 Speaker 1: if you ever remember the little happy Mac when you 137 00:06:41,920 --> 00:06:44,240 Speaker 1: put it up a computer, like the little computer with 138 00:06:44,240 --> 00:06:47,240 Speaker 1: a smiley face, that was Susan care the concept of 139 00:06:47,600 --> 00:06:50,159 Speaker 1: the icons for your computer sort of matching up with 140 00:06:50,200 --> 00:06:52,200 Speaker 1: the thing that you were going to do, even if 141 00:06:52,240 --> 00:06:54,200 Speaker 1: you don't use a Mac, even if you use a PC. 142 00:06:54,680 --> 00:06:56,480 Speaker 2: That's still a concept that we use today. 143 00:06:56,520 --> 00:06:59,719 Speaker 1: So she really was an early architect of how being 144 00:06:59,760 --> 00:07:00,440 Speaker 1: on line. 145 00:07:00,320 --> 00:07:01,360 Speaker 2: Sort of looked and felt. 146 00:07:01,680 --> 00:07:03,920 Speaker 1: And that also just sort of the concept of it, 147 00:07:04,000 --> 00:07:06,480 Speaker 1: sort of how we conceptually move around or we're using 148 00:07:06,520 --> 00:07:08,960 Speaker 1: a computer. And it's funny because I had also never 149 00:07:09,000 --> 00:07:12,679 Speaker 1: heard of her. I've been using a Mac for most 150 00:07:12,680 --> 00:07:14,560 Speaker 1: of my life. It was like the first computer that 151 00:07:14,560 --> 00:07:16,440 Speaker 1: we had in our home when I was a kid, 152 00:07:16,520 --> 00:07:20,280 Speaker 1: like in what my parents called the computer. 153 00:07:19,880 --> 00:07:22,360 Speaker 2: Room, where like you could you could never. 154 00:07:22,200 --> 00:07:24,560 Speaker 1: Bring a snack or a drink or my dad would 155 00:07:24,680 --> 00:07:27,040 Speaker 1: kill you, was a Mac. And I had never even 156 00:07:27,080 --> 00:07:29,400 Speaker 1: heard of her, even though she had shaped such a 157 00:07:29,400 --> 00:07:32,160 Speaker 1: big part of my online experiences both as a child 158 00:07:32,240 --> 00:07:32,680 Speaker 1: and today. 159 00:07:33,040 --> 00:07:35,400 Speaker 5: So the whole story that I had about this like 160 00:07:35,480 --> 00:07:37,400 Speaker 5: this happy Mac and the one reason I kind of 161 00:07:37,560 --> 00:07:40,040 Speaker 5: know what that is now I've seen the other things. 162 00:07:40,080 --> 00:07:42,880 Speaker 5: I've seen the watch well icon before. I feel like 163 00:07:42,880 --> 00:07:45,360 Speaker 5: a lot of these are associated to me as something 164 00:07:45,400 --> 00:07:47,560 Speaker 5: bad is about to happen because I did something wrong. 165 00:07:48,000 --> 00:07:51,720 Speaker 5: Signs usually because the one episode that I remember with 166 00:07:52,600 --> 00:07:55,280 Speaker 5: in Sex and the City, Yeah you know, I'm talking 167 00:07:55,280 --> 00:07:58,680 Speaker 5: about where her Mac crashes and she gets a sad 168 00:07:58,760 --> 00:08:01,080 Speaker 5: mech and the dude keeps telling her you got the 169 00:08:01,120 --> 00:08:04,800 Speaker 5: sad Mac, sorry, you can't fix it, and this whole 170 00:08:04,800 --> 00:08:08,640 Speaker 5: conversation about the sad Mac, and I'm like, why does 171 00:08:08,680 --> 00:08:10,440 Speaker 5: it have to be a sad Meg the dead mac 172 00:08:10,440 --> 00:08:12,280 Speaker 5: because it's got the exes, all the eyes. He said 173 00:08:12,320 --> 00:08:15,360 Speaker 5: about how angry it looks. I was like, yeah, that 174 00:08:15,440 --> 00:08:17,320 Speaker 5: does not make me want to get a mac. 175 00:08:18,760 --> 00:08:18,960 Speaker 2: Yeah. 176 00:08:19,000 --> 00:08:21,920 Speaker 1: I feel like that episode probably scared a lot of people. 177 00:08:22,120 --> 00:08:24,120 Speaker 1: Also fun in fact, this is how deep my Sex 178 00:08:24,120 --> 00:08:26,200 Speaker 1: and the City knowledge goes. The guy who tells me 179 00:08:26,240 --> 00:08:28,400 Speaker 1: about at the computer store Asip Mandy from. 180 00:08:28,240 --> 00:08:28,920 Speaker 2: The Daily Show. 181 00:08:30,440 --> 00:08:33,440 Speaker 5: Yes, yes, yes, so I was like, oh, he's a comedian. 182 00:08:33,480 --> 00:08:34,959 Speaker 5: I love them when they bring it in comedians and 183 00:08:35,040 --> 00:08:37,800 Speaker 5: you really know but you always know their face. 184 00:08:38,080 --> 00:08:40,240 Speaker 2: Love it, love it, and you. 185 00:08:40,200 --> 00:08:42,160 Speaker 5: Gotta hop on board. This is what you're missing out 186 00:08:42,200 --> 00:08:43,560 Speaker 5: when you haven't seen Sex in the City. 187 00:08:43,679 --> 00:08:45,079 Speaker 2: Wait, and he's never seen it. 188 00:08:45,760 --> 00:08:47,160 Speaker 5: She's seen like two episodes. 189 00:08:47,480 --> 00:08:50,280 Speaker 4: I've seen one of the first episode, and that's it. 190 00:08:50,400 --> 00:08:52,119 Speaker 5: Really, Carol, girl. 191 00:08:52,040 --> 00:08:54,199 Speaker 1: What are you putting on in the background while you're 192 00:08:54,240 --> 00:08:55,160 Speaker 1: like doing something else? 193 00:08:56,400 --> 00:08:57,800 Speaker 2: Like, what are you putting on in the background when 194 00:08:57,840 --> 00:08:59,000 Speaker 2: you're doing the dish is come on. 195 00:09:01,240 --> 00:09:03,160 Speaker 4: I'm ready. I want to I want to embark on 196 00:09:03,160 --> 00:09:03,840 Speaker 4: this journey. 197 00:09:04,040 --> 00:09:07,520 Speaker 5: I'm just a little nervous, but I so bridget. When 198 00:09:07,520 --> 00:09:09,120 Speaker 5: we have our Sex in the City, we're gonna do 199 00:09:09,320 --> 00:09:12,000 Speaker 5: a watch and like kind of a live watching, live 200 00:09:12,120 --> 00:09:12,600 Speaker 5: viewing party. 201 00:09:12,600 --> 00:09:15,880 Speaker 1: You want to join us, yes, of course, And they're 202 00:09:16,040 --> 00:09:18,800 Speaker 1: getting ready to make another view of a movie, which 203 00:09:19,040 --> 00:09:21,400 Speaker 1: I mean, I have a love hit relationship with Sex 204 00:09:21,400 --> 00:09:23,319 Speaker 1: in the City, and yes, you look back and you're like, well, 205 00:09:23,320 --> 00:09:25,720 Speaker 1: this was problematic, or like oh this is not good, 206 00:09:25,880 --> 00:09:27,560 Speaker 1: but there's just something about it where I'm like. 207 00:09:27,679 --> 00:09:28,880 Speaker 2: I know, I'll probably watch it. 208 00:09:29,320 --> 00:09:32,640 Speaker 1: I know they're like, you'll take this problematic movie with a. 209 00:09:32,559 --> 00:09:34,800 Speaker 2: Bunch of lazy puns were taking it. 210 00:09:35,160 --> 00:09:35,960 Speaker 3: I know what I want. 211 00:09:36,480 --> 00:09:40,319 Speaker 5: I mean, like Sarah Jesina Parker's character Carrie the Mac 212 00:09:40,400 --> 00:09:42,840 Speaker 5: at the very beginning, like at all the things, the 213 00:09:42,880 --> 00:09:45,640 Speaker 5: fact that she carries it around like it's her treasure, 214 00:09:45,800 --> 00:09:48,800 Speaker 5: like she carries it as like she and the Mac 215 00:09:48,880 --> 00:09:50,160 Speaker 5: go hand in hand in the show. 216 00:09:50,360 --> 00:09:53,319 Speaker 1: Her work I feel is grounded around the Mac, like 217 00:09:53,800 --> 00:09:56,640 Speaker 1: you kept watching the episode towards the end, when she 218 00:09:56,760 --> 00:10:00,000 Speaker 1: moves to Paris, she leaves her Mac in her apartment, 219 00:10:00,160 --> 00:10:02,040 Speaker 1: so like Charlotte goes to her apartment, it's just like 220 00:10:02,400 --> 00:10:03,959 Speaker 1: her computer was just sitting there. 221 00:10:04,559 --> 00:10:05,480 Speaker 2: It's such a big deal. 222 00:10:05,559 --> 00:10:08,280 Speaker 1: And it's actually funny that you say this, because when 223 00:10:08,280 --> 00:10:10,440 Speaker 1: I was thinking through this episode, I didn't think about this. 224 00:10:10,520 --> 00:10:11,920 Speaker 2: But now I'm like, oh my god. 225 00:10:12,520 --> 00:10:16,480 Speaker 1: How many different times have Max been I'm thinking of 226 00:10:17,520 --> 00:10:21,319 Speaker 1: legally blonde when Belle Woods goes to get her orange 227 00:10:21,360 --> 00:10:24,360 Speaker 1: Mac and all of her stuffy law students are on 228 00:10:24,440 --> 00:10:26,760 Speaker 1: their black laptops and she's on the orange Mac. 229 00:10:26,960 --> 00:10:27,120 Speaker 5: Right. 230 00:10:27,240 --> 00:10:29,559 Speaker 1: I guess I had never really thought about how many 231 00:10:29,640 --> 00:10:33,840 Speaker 1: times Max have been sort of part of popular culture. 232 00:10:34,080 --> 00:10:37,960 Speaker 5: Lends. It kind of goes into like being a designer piece. 233 00:10:38,240 --> 00:10:38,720 Speaker 4: Almost. 234 00:10:39,040 --> 00:10:42,360 Speaker 3: Yeah, I think I could be wrong, but I'm pretty 235 00:10:42,400 --> 00:10:45,360 Speaker 3: sure you don't have to get permission to show Mac, 236 00:10:46,120 --> 00:10:48,840 Speaker 3: Like normally you have to get the companies and pay, 237 00:10:49,000 --> 00:10:51,280 Speaker 3: but they wanted people to think like, oh, this is 238 00:10:51,320 --> 00:10:54,400 Speaker 3: a cool stylis ubiquitous technology. 239 00:10:54,480 --> 00:10:56,199 Speaker 4: I think the only time you have to check is 240 00:10:56,200 --> 00:11:00,240 Speaker 4: if it's something like real real bad, like real bad beer. 241 00:11:00,400 --> 00:11:02,880 Speaker 2: For yeah, you're beating Amanda Death with it. 242 00:11:04,480 --> 00:11:05,760 Speaker 4: That's the only fat. 243 00:11:08,320 --> 00:11:10,360 Speaker 5: I mean, Like, I remember as I'm looking at some 244 00:11:10,400 --> 00:11:12,720 Speaker 5: of these things. I remember seeing the little bomb icon 245 00:11:12,800 --> 00:11:15,000 Speaker 5: as a part of the show as well. And again, 246 00:11:15,040 --> 00:11:16,559 Speaker 5: like I said, that to me, is like a big 247 00:11:16,640 --> 00:11:20,800 Speaker 5: warning sign. I mean, yeah, I don't know what the 248 00:11:20,800 --> 00:11:23,160 Speaker 5: bomb means, but the bomb means something bad. 249 00:11:23,640 --> 00:11:26,720 Speaker 1: Yeah, the bomb. You see the bomb designed by Susan Care. 250 00:11:27,280 --> 00:11:29,040 Speaker 1: Hopefully you never have to see it, but if you, 251 00:11:29,080 --> 00:11:31,400 Speaker 1: if you put in a command that doesn't work and 252 00:11:31,400 --> 00:11:34,199 Speaker 1: it's like oh no, good bad, you know. And also, 253 00:11:34,240 --> 00:11:37,600 Speaker 1: I mean even even the different icons that you're describing 254 00:11:37,640 --> 00:11:40,560 Speaker 1: the sad Mac, the bomb. One of the things that 255 00:11:40,559 --> 00:11:45,080 Speaker 1: that Susan Care really architected was this idea of the 256 00:11:45,160 --> 00:11:47,679 Speaker 1: interface being super user friendly. So when you do something 257 00:11:47,679 --> 00:11:50,200 Speaker 1: that is bad, it is very obvious that it is bad. 258 00:11:50,240 --> 00:11:52,560 Speaker 1: It is a bomb, it is a sad face. It 259 00:11:52,600 --> 00:11:55,440 Speaker 1: could not be more clear that you have done something correct. 260 00:11:55,520 --> 00:11:57,120 Speaker 1: Or when something is good, you know, when you would 261 00:11:57,160 --> 00:11:59,000 Speaker 1: boot up a Mac, you would see a smiley face. 262 00:11:59,360 --> 00:12:01,880 Speaker 2: All of that was intentionally designed by Care to make. 263 00:12:01,960 --> 00:12:04,280 Speaker 1: People who you know, might have been using a computer 264 00:12:04,320 --> 00:12:06,080 Speaker 1: for the first time, who might have been a little 265 00:12:06,080 --> 00:12:08,600 Speaker 1: bit skintish about using a computer, helped them sort of 266 00:12:09,480 --> 00:12:12,160 Speaker 1: shepherd them through the experience in ways that are super 267 00:12:12,200 --> 00:12:14,760 Speaker 1: easy to understand, which I really appreciate as someone who, 268 00:12:15,240 --> 00:12:17,480 Speaker 1: even as someone who enjoys technip has to be a 269 00:12:17,480 --> 00:12:20,000 Speaker 1: little bit tech challenged, shall we say, do. 270 00:12:20,120 --> 00:12:23,000 Speaker 5: Right as I am. It definitely tells me when I'm 271 00:12:23,000 --> 00:12:26,240 Speaker 5: doing something wrong. Definitely, I'm like, oh, I'm just waiting, great, 272 00:12:26,600 --> 00:12:27,720 Speaker 5: and what's that happy face? 273 00:12:28,800 --> 00:12:29,319 Speaker 2: Exactly? 274 00:12:30,120 --> 00:12:32,280 Speaker 3: Yes, And those are things you'd take for granted, right, Like, 275 00:12:33,000 --> 00:12:36,959 Speaker 3: somebody had to think through that process and design those things, 276 00:12:37,360 --> 00:12:41,040 Speaker 3: especially when computers were so new and people were like, 277 00:12:41,520 --> 00:12:44,040 Speaker 3: what is this huge, bohemos thing that's expensive? 278 00:12:44,080 --> 00:12:46,880 Speaker 4: I don't want to wreck it by pressing their own 279 00:12:46,920 --> 00:12:47,720 Speaker 4: button exactly. 280 00:12:47,800 --> 00:12:49,840 Speaker 1: And I mean, what's funny is that, like some people 281 00:12:49,880 --> 00:12:51,360 Speaker 1: who are a bit younger might be thinking like, oh, 282 00:12:51,400 --> 00:12:53,800 Speaker 1: what's the big deal? But truly, like, keep in mind 283 00:12:53,840 --> 00:12:56,439 Speaker 1: that back then, in the early days of personal computers, 284 00:12:56,520 --> 00:12:58,760 Speaker 1: most people did not have a personal computer in their 285 00:12:58,800 --> 00:13:02,560 Speaker 1: home at that point, and so computers were these big, clunky, 286 00:13:02,720 --> 00:13:07,120 Speaker 1: boxy nightmares that were really inclined for mathematicians or engineers, 287 00:13:07,200 --> 00:13:10,760 Speaker 1: not just like your regular user. And so somebody had 288 00:13:10,760 --> 00:13:14,199 Speaker 1: to take the time to design ways of illustrating what 289 00:13:14,240 --> 00:13:16,559 Speaker 1: you were doing in ways that would be simple and 290 00:13:16,720 --> 00:13:20,640 Speaker 1: user friendly and not scary, not intimidating, because if you know, 291 00:13:20,800 --> 00:13:22,960 Speaker 1: the whole idea is that you want people to feel 292 00:13:23,000 --> 00:13:25,720 Speaker 1: the freedom of having a personal computer like in their house. 293 00:13:26,080 --> 00:13:28,200 Speaker 2: It has to feel like something they can really master themselves. 294 00:13:28,240 --> 00:13:30,320 Speaker 1: And so Susan Care's design I think was a big 295 00:13:30,360 --> 00:13:33,800 Speaker 1: part of why personal computing leader took on or took 296 00:13:33,840 --> 00:13:34,760 Speaker 1: off took on. 297 00:13:35,880 --> 00:13:38,040 Speaker 5: Right, her history is pretty interesting. Why don't you tell 298 00:13:38,120 --> 00:13:41,120 Speaker 5: us how she even got started into this industry? 299 00:13:41,280 --> 00:13:42,679 Speaker 2: So this is my favorite thing. 300 00:13:42,840 --> 00:13:45,760 Speaker 1: So her background was in art, right, So she was 301 00:13:45,800 --> 00:13:48,800 Speaker 1: a sculptor, she worked in visual arts, and so she 302 00:13:48,920 --> 00:13:52,240 Speaker 1: is not someone who has hard technical skills. She described 303 00:13:52,240 --> 00:13:55,440 Speaker 1: herself as completely non technical. And the reason that she 304 00:13:55,480 --> 00:13:57,880 Speaker 1: first got involved in graphic design in the first place 305 00:13:57,920 --> 00:14:01,120 Speaker 1: is because her mom taught her these skills that we, 306 00:14:01,280 --> 00:14:04,200 Speaker 1: I guess commonly associate with femininity, so like needle point 307 00:14:04,200 --> 00:14:10,080 Speaker 1: and embroidery, which luckily those two skills work in small grids. 308 00:14:10,080 --> 00:14:11,960 Speaker 1: So if you've ever done needle point, you know you're 309 00:14:12,240 --> 00:14:14,400 Speaker 1: moving a thread through like a tiny box. And so 310 00:14:14,600 --> 00:14:17,360 Speaker 1: when she was designing things on a computer for Apple, 311 00:14:17,720 --> 00:14:19,320 Speaker 1: it also was a small box. 312 00:14:19,360 --> 00:14:22,440 Speaker 2: And so if it wasn't for her mom teaching her these. 313 00:14:22,480 --> 00:14:26,320 Speaker 1: Highly kind of like domestic tasks we might not like 314 00:14:26,400 --> 00:14:29,480 Speaker 1: personal computing might be might have gone a completely different direction. 315 00:14:29,560 --> 00:14:31,560 Speaker 1: And so I just love that because it's such a 316 00:14:31,560 --> 00:14:35,640 Speaker 1: good reminder that you don't have to be a coder. 317 00:14:35,760 --> 00:14:38,480 Speaker 1: You don't have to be a hacker to make an 318 00:14:38,520 --> 00:14:41,680 Speaker 1: impression in tech or to have ownership over it. And 319 00:14:41,720 --> 00:14:44,320 Speaker 1: so I always like to remember that that if it 320 00:14:44,360 --> 00:14:45,960 Speaker 1: wasn't for her mom teaching her how to sew and 321 00:14:45,960 --> 00:14:48,520 Speaker 1: do needle point, truly, I might not be recording this 322 00:14:48,560 --> 00:14:50,560 Speaker 1: podcast on my MacBook Pro right now. 323 00:14:50,680 --> 00:14:51,960 Speaker 2: Things might look different. 324 00:15:07,640 --> 00:15:10,680 Speaker 3: When you're thinking about people you do associate with, particularly 325 00:15:10,720 --> 00:15:15,040 Speaker 3: mac but like technology and computers in general is often men, 326 00:15:15,080 --> 00:15:17,240 Speaker 3: and you do often have this assumption that, oh, there 327 00:15:17,320 --> 00:15:21,040 Speaker 3: must be like really technically minded and gotten a lot 328 00:15:21,040 --> 00:15:24,800 Speaker 3: of education in those fields, and like the names we 329 00:15:24,880 --> 00:15:29,560 Speaker 3: remember are them. But this is a huge part what 330 00:15:29,640 --> 00:15:33,120 Speaker 3: Susan Kaer did is a huge part of how the 331 00:15:33,160 --> 00:15:36,160 Speaker 3: technology we use, and particularly with Max, but in other things, 332 00:15:37,600 --> 00:15:41,280 Speaker 3: and it is what you like, a non traditional route 333 00:15:41,680 --> 00:15:45,680 Speaker 3: and this sort of feminized skill set in this kind 334 00:15:45,680 --> 00:15:49,000 Speaker 3: of traditionally masculinized or seen as a very masculine field 335 00:15:49,600 --> 00:15:50,320 Speaker 3: and I just love it. 336 00:15:50,360 --> 00:15:51,320 Speaker 4: I love it so much. 337 00:15:51,720 --> 00:15:53,880 Speaker 2: Yeah, it makes me. It's a good reminder for all 338 00:15:53,920 --> 00:15:54,240 Speaker 2: of us. 339 00:15:54,280 --> 00:15:56,160 Speaker 1: You know, I did an interview on my own podcast 340 00:15:56,280 --> 00:16:00,120 Speaker 1: with this really amazing historian and technologist, Claire Evans, and 341 00:16:00,160 --> 00:16:02,560 Speaker 1: she has this book all about the history of women 342 00:16:02,560 --> 00:16:05,120 Speaker 1: in computing, and I guess the thesis would be, you 343 00:16:05,160 --> 00:16:08,160 Speaker 1: know that we are often told that technology is a 344 00:16:08,200 --> 00:16:11,080 Speaker 1: boys club and that women and other marginalized people are 345 00:16:11,080 --> 00:16:13,680 Speaker 1: trying to like break break their way in. But actually 346 00:16:13,720 --> 00:16:15,920 Speaker 1: women have been at the start of computing since the beginning, 347 00:16:15,960 --> 00:16:17,960 Speaker 1: and so it's like rightfully our domain. We are not 348 00:16:18,000 --> 00:16:21,000 Speaker 1: trying to break in anywhere, like it is our landscape. 349 00:16:21,000 --> 00:16:23,800 Speaker 1: And that some of the reasons why women kind of 350 00:16:23,960 --> 00:16:27,160 Speaker 1: get pushed out of tech, both you know, in terms 351 00:16:27,240 --> 00:16:29,240 Speaker 1: of like careers, but also just in terms of like 352 00:16:29,280 --> 00:16:32,240 Speaker 1: who gets remembered, who doesn't, who goes overlooked. First of all, 353 00:16:32,320 --> 00:16:34,400 Speaker 1: just to be clear, a lot of it is just 354 00:16:34,560 --> 00:16:38,440 Speaker 1: good old fashioned sexism, like nothing, nothing special about that. 355 00:16:38,880 --> 00:16:41,080 Speaker 1: But then another aspect of it is exactly what you 356 00:16:41,120 --> 00:16:44,480 Speaker 1: were saying, is that a lot of times the contributions 357 00:16:44,520 --> 00:16:48,200 Speaker 1: that women have made to computers and technology are things 358 00:16:48,200 --> 00:16:50,080 Speaker 1: that are a little bit harder to preserve. And so 359 00:16:50,680 --> 00:16:53,040 Speaker 1: you know, if you if you make an actual computer 360 00:16:53,680 --> 00:16:56,760 Speaker 1: that can go in a museum, that's that's a solid 361 00:16:56,840 --> 00:17:00,480 Speaker 1: tangible thing. If you design a concept or you know, 362 00:17:00,880 --> 00:17:03,600 Speaker 1: do something cool on a message board or develop an 363 00:17:03,840 --> 00:17:07,960 Speaker 1: icon or you know, something graphic that is less tangible, 364 00:17:08,200 --> 00:17:10,919 Speaker 1: those things are harder to preserve and sort of more ephemeral. 365 00:17:10,960 --> 00:17:12,600 Speaker 2: And so a lot of that. 366 00:17:12,560 --> 00:17:16,320 Speaker 1: Work throughout the years has been associated with women and feminization, 367 00:17:16,440 --> 00:17:18,359 Speaker 1: this idea that like women are a lot of the 368 00:17:18,400 --> 00:17:21,760 Speaker 1: times the ones who are building the things that are 369 00:17:21,760 --> 00:17:24,520 Speaker 1: a little more difficult to hold on to, and thus 370 00:17:24,640 --> 00:17:28,640 Speaker 1: these contributions can really go overlooked unless we make intentional 371 00:17:28,720 --> 00:17:32,360 Speaker 1: efforts to preserve them, to highlight them, to amplify them, 372 00:17:32,480 --> 00:17:35,480 Speaker 1: all of that. So completely agree, completely agree. 373 00:17:35,600 --> 00:17:37,880 Speaker 3: Yes, So I mean here we are talking about it, 374 00:17:37,920 --> 00:17:40,560 Speaker 3: and because I'll take every opportunity to bring it up. 375 00:17:40,600 --> 00:17:42,920 Speaker 3: I do think too, like if you look at something 376 00:17:42,960 --> 00:17:46,680 Speaker 3: like fan fiction, the website AO three was one of 377 00:17:46,720 --> 00:17:48,840 Speaker 3: the biggest coding projects of its time, and it was 378 00:17:48,920 --> 00:17:50,960 Speaker 3: women who did it, but it doesn't get a lot 379 00:17:50,960 --> 00:17:53,320 Speaker 3: of respect because if women in marginalized people who did 380 00:17:53,320 --> 00:17:55,359 Speaker 3: it and it seemed as this kind of weird corner 381 00:17:55,359 --> 00:18:00,000 Speaker 3: of women fandom and not therefore not worth the respect 382 00:18:00,640 --> 00:18:03,720 Speaker 3: as something else more masculine. 383 00:18:04,160 --> 00:18:08,080 Speaker 1: Right, technology is nothing without people using it for something, right, 384 00:18:08,080 --> 00:18:11,840 Speaker 1: Without users and so and those people who were building 385 00:18:11,840 --> 00:18:15,679 Speaker 1: that there were architects of something important and like that, 386 00:18:15,720 --> 00:18:18,119 Speaker 1: we would not even see that as worthy of preservation 387 00:18:18,359 --> 00:18:20,800 Speaker 1: or like mentioning is our real prime And I think 388 00:18:20,840 --> 00:18:22,840 Speaker 1: we really do have to go back and look at 389 00:18:22,920 --> 00:18:25,919 Speaker 1: history and say, well, where are the times where because 390 00:18:25,920 --> 00:18:29,000 Speaker 1: this was associated with women or marginalized people just doing 391 00:18:29,040 --> 00:18:31,240 Speaker 1: something geeky on the internet, you know how women are, 392 00:18:31,359 --> 00:18:35,399 Speaker 1: whether it's fan fiction or you know, recipe blogs or 393 00:18:35,440 --> 00:18:38,560 Speaker 1: anything like that. Why do those things not deserve to 394 00:18:38,640 --> 00:18:41,520 Speaker 1: be remembered in the same way that some of the 395 00:18:41,600 --> 00:18:45,719 Speaker 1: other more obvious contributions to computing and technology in our 396 00:18:45,720 --> 00:18:47,879 Speaker 1: digital landscape. Like, I completely agree that we need to 397 00:18:47,920 --> 00:18:51,240 Speaker 1: have a whole scale sort of rethinking of what is 398 00:18:51,280 --> 00:18:54,480 Speaker 1: worthy of preservation, because I'm not down to just live 399 00:18:54,480 --> 00:18:57,000 Speaker 1: in a world where the stuff that we make that 400 00:18:57,040 --> 00:19:00,000 Speaker 1: marginalize people, that women make, is just not worthy of preservation, 401 00:19:00,560 --> 00:19:04,040 Speaker 1: no way, right, Yeah, absolutely not. 402 00:19:05,760 --> 00:19:07,960 Speaker 3: Thank you for letting me bring up fantic cholodim I 403 00:19:08,000 --> 00:19:10,920 Speaker 3: cannot help myself. But I also think it's a good 404 00:19:11,720 --> 00:19:15,400 Speaker 3: correlation to Susan Care's story, where there is this sort 405 00:19:15,440 --> 00:19:20,200 Speaker 3: of like creative, non technical thing that she was involved with, 406 00:19:20,480 --> 00:19:26,359 Speaker 3: and she was able to translate that into technology because 407 00:19:26,400 --> 00:19:27,440 Speaker 3: there was this need. 408 00:19:28,040 --> 00:19:29,920 Speaker 4: And I think also like. 409 00:19:30,640 --> 00:19:34,880 Speaker 3: Again having to kind of predict what people's concerns would 410 00:19:34,920 --> 00:19:38,080 Speaker 3: be and like predict what would suit those concerns and 411 00:19:38,119 --> 00:19:42,000 Speaker 3: be clear, like coming perhaps coming from a different background 412 00:19:42,040 --> 00:19:43,280 Speaker 3: actually helped her with that. 413 00:19:43,920 --> 00:19:46,720 Speaker 2: I think so. I love that point. I think so. So. 414 00:19:46,720 --> 00:19:49,160 Speaker 1: She said that when she first got the call to 415 00:19:49,200 --> 00:19:51,600 Speaker 1: design things for Apple, she was just like, I don't 416 00:19:51,600 --> 00:19:53,879 Speaker 1: know what any of this is. I love this little detail. 417 00:19:53,960 --> 00:19:55,520 Speaker 1: She was in the middle of working on a life 418 00:19:55,520 --> 00:20:00,800 Speaker 1: sized sculpture of a hog. How does it tell you 419 00:20:00,880 --> 00:20:02,200 Speaker 1: all you to know about Care? 420 00:20:02,320 --> 00:20:03,280 Speaker 2: I feel like that really? 421 00:20:06,440 --> 00:20:08,920 Speaker 5: Oh I wanted to wonder finish it? 422 00:20:09,400 --> 00:20:10,879 Speaker 2: Yes? Oh that's a good question. 423 00:20:11,080 --> 00:20:12,840 Speaker 5: I want to know. I want to see this picture 424 00:20:12,880 --> 00:20:14,560 Speaker 5: of what she was working on. Did she get to 425 00:20:14,600 --> 00:20:15,040 Speaker 5: finish it? 426 00:20:15,960 --> 00:20:16,320 Speaker 4: Yes? 427 00:20:16,760 --> 00:20:23,439 Speaker 6: I need please please, I'll goo deep in hog right like, 428 00:20:25,840 --> 00:20:27,960 Speaker 6: she gets this call from Andy Hertzfield, who she had 429 00:20:28,119 --> 00:20:30,160 Speaker 6: gone to high school with, and He was a member 430 00:20:30,160 --> 00:20:33,439 Speaker 6: of the original Apple Macintosh development team during the eighties, 431 00:20:33,880 --> 00:20:36,159 Speaker 6: and he asked her to hand draw some icons and 432 00:20:36,200 --> 00:20:38,439 Speaker 6: bonds to help inspire what was going to be this 433 00:20:38,560 --> 00:20:39,359 Speaker 6: mac Interdace. 434 00:20:39,600 --> 00:20:41,080 Speaker 2: This was a completely new concept of her. 435 00:20:41,119 --> 00:20:42,640 Speaker 1: She's like, I had no idea what I was doing, 436 00:20:42,840 --> 00:20:45,639 Speaker 1: But luckily Andy had an idea because he knew that 437 00:20:45,680 --> 00:20:48,439 Speaker 1: she worked with design and graphics. He told her to 438 00:20:48,480 --> 00:20:51,800 Speaker 1: go out and buy the smallest, tiniest graph paper that 439 00:20:51,840 --> 00:20:54,360 Speaker 1: she could find and then use it to block out 440 00:20:54,400 --> 00:20:56,520 Speaker 1: thirty two by thirty two inch squares and fill them 441 00:20:56,520 --> 00:20:58,320 Speaker 1: with color to kind of come up with the designs 442 00:20:58,560 --> 00:21:00,880 Speaker 1: because what she would be designing would be a matrix 443 00:21:00,920 --> 00:21:03,520 Speaker 1: that was essentially a grid. So again back to that 444 00:21:03,560 --> 00:21:08,160 Speaker 1: sort of needle point embroidery upbringing that she had, which 445 00:21:08,200 --> 00:21:11,879 Speaker 1: really helped her work in this grid function. Like truly 446 00:21:11,920 --> 00:21:14,640 Speaker 1: probably could not have provided a better basis or education 447 00:21:14,760 --> 00:21:15,840 Speaker 1: for the work that she would. 448 00:21:15,640 --> 00:21:16,520 Speaker 2: Go on to be doing. 449 00:21:16,840 --> 00:21:19,040 Speaker 1: That she had no idea, you know that she would 450 00:21:19,080 --> 00:21:24,640 Speaker 1: be so foundational in and luckily these skills really came 451 00:21:24,800 --> 00:21:25,440 Speaker 1: to rescue. 452 00:21:25,480 --> 00:21:25,840 Speaker 2: She says. 453 00:21:26,280 --> 00:21:29,160 Speaker 1: Bitmap graphics are like mosaics and needle point and other 454 00:21:29,200 --> 00:21:31,840 Speaker 1: pseudo digital art forms, all of which I had practiced 455 00:21:31,840 --> 00:21:32,720 Speaker 1: before going to Apple. 456 00:21:32,760 --> 00:21:34,439 Speaker 2: This is what she told somebody in an interview in 457 00:21:34,440 --> 00:21:34,919 Speaker 2: two thousand. 458 00:21:35,040 --> 00:21:38,960 Speaker 1: So again, you'd never know what skill is going to 459 00:21:39,040 --> 00:21:41,640 Speaker 1: apply later in your life. Like I'm sure when her 460 00:21:41,640 --> 00:21:43,600 Speaker 1: mom was teaching her needle point, she probably was like, 461 00:21:44,040 --> 00:21:46,520 Speaker 1: this is really fun and awesome. She probably was not 462 00:21:46,640 --> 00:21:50,080 Speaker 1: thinking and I will go on to revolutionize personal computing 463 00:21:50,240 --> 00:21:55,560 Speaker 1: because you have taught me how to do needle point, mom. 464 00:21:55,720 --> 00:21:59,840 Speaker 3: Yeah, so I run on a Dungeons and Dragons campaign 465 00:21:59,600 --> 00:22:04,320 Speaker 3: and I use Python coding to uh run it. So 466 00:22:04,840 --> 00:22:08,320 Speaker 3: basically Python is a bunch of if then statements. But 467 00:22:08,400 --> 00:22:12,760 Speaker 3: I think you can you can take like a really creative, 468 00:22:13,080 --> 00:22:15,639 Speaker 3: non technical thing and you can construct it in a 469 00:22:15,640 --> 00:22:18,879 Speaker 3: way where you can like make it work in that sense, 470 00:22:19,160 --> 00:22:22,840 Speaker 3: because if you think about like conversation if X then 471 00:22:23,000 --> 00:22:25,240 Speaker 3: hy like you can I don't know, there's something I 472 00:22:25,280 --> 00:22:29,280 Speaker 3: find really interesting that you can take those things and 473 00:22:29,320 --> 00:22:30,240 Speaker 3: you can. 474 00:22:31,320 --> 00:22:33,280 Speaker 4: Experiment with them in that way. 475 00:22:33,280 --> 00:22:35,600 Speaker 3: You could take needle point and think about it in 476 00:22:35,640 --> 00:22:38,520 Speaker 3: this way of like coding, like I love that stuff. 477 00:22:39,000 --> 00:22:41,000 Speaker 1: Are there other things that you have learned that you 478 00:22:41,080 --> 00:22:44,160 Speaker 1: feel might help you when you're doing when you're coding 479 00:22:44,160 --> 00:22:46,280 Speaker 1: and Python like other other skills that you're like, oh, 480 00:22:46,320 --> 00:22:48,720 Speaker 1: I wouldn't have thought that this would be something that 481 00:22:48,760 --> 00:22:52,359 Speaker 1: would help me think about Python, but actually has been helpful. 482 00:22:52,840 --> 00:22:56,480 Speaker 4: So something that helps me like use Python more or 483 00:22:56,880 --> 00:22:57,720 Speaker 4: just in general in. 484 00:22:58,040 --> 00:22:59,960 Speaker 2: The work that you do when you're building out these things. 485 00:23:00,880 --> 00:23:03,360 Speaker 3: The reason I started doing that is because essentially it's 486 00:23:03,359 --> 00:23:06,200 Speaker 3: almost exactly like this. You have to when you're running 487 00:23:06,200 --> 00:23:09,120 Speaker 3: a game. You have to predict what people are going 488 00:23:09,200 --> 00:23:12,280 Speaker 3: to do, and that could be anything, right, Like, that 489 00:23:12,400 --> 00:23:17,200 Speaker 3: could be literally anything. And so it's like project management 490 00:23:17,200 --> 00:23:23,600 Speaker 3: where you have to analyze a person and then try 491 00:23:23,640 --> 00:23:26,800 Speaker 3: to make that work in a game system, right like 492 00:23:26,920 --> 00:23:31,160 Speaker 3: in a kind of technical rule based game. So you've 493 00:23:31,160 --> 00:23:34,120 Speaker 3: got this like really a logical chaotic person. Now I've 494 00:23:34,119 --> 00:23:37,040 Speaker 3: got to make that work in a way where I 495 00:23:37,040 --> 00:23:40,280 Speaker 3: can say, like if X, then why so that game 496 00:23:40,359 --> 00:23:44,080 Speaker 3: doesn't break? So I would say like reading people and 497 00:23:44,240 --> 00:23:49,400 Speaker 3: project management because again a lot of interactions in life. 498 00:23:49,640 --> 00:23:52,080 Speaker 3: It's almost cold to think of it this way, but 499 00:23:52,119 --> 00:23:55,840 Speaker 3: you can see in a like technical sense of like person, 500 00:23:56,080 --> 00:23:59,560 Speaker 3: why needs this? Therefore these actions happen like you can 501 00:24:00,080 --> 00:24:06,040 Speaker 3: map out to a certain extent, people and their behavior 502 00:24:06,600 --> 00:24:07,640 Speaker 3: that's so fascinating. 503 00:24:08,200 --> 00:24:10,119 Speaker 5: It's a whole theoom. You have to do all these 504 00:24:10,200 --> 00:24:13,560 Speaker 5: little like hypothesism, this may happen, so you have to 505 00:24:13,600 --> 00:24:15,840 Speaker 5: problem solve ahead of time, which I know nothing about 506 00:24:15,920 --> 00:24:17,760 Speaker 5: dungeons and dragons. Just what she tells me. 507 00:24:19,840 --> 00:24:20,560 Speaker 4: It's wild. 508 00:24:21,240 --> 00:24:23,560 Speaker 1: I mean it completely, it's and I think if you 509 00:24:23,640 --> 00:24:27,160 Speaker 1: take that to its logical next step like in tech 510 00:24:27,200 --> 00:24:29,800 Speaker 1: workplaces and stuff. This is why I always say, if 511 00:24:29,800 --> 00:24:31,440 Speaker 1: you're someone who's listening and you're like, I want to 512 00:24:31,440 --> 00:24:32,680 Speaker 1: be more involved in tech. I want to work in 513 00:24:32,680 --> 00:24:35,120 Speaker 1: a tech space. You do not have to have tech 514 00:24:35,160 --> 00:24:38,520 Speaker 1: card skills to be someone who makes your living or 515 00:24:38,560 --> 00:24:40,800 Speaker 1: takes up a big footprint in tech. People need to 516 00:24:40,840 --> 00:24:44,320 Speaker 1: have people reading skills, problem solving skills, critical thinking skills. 517 00:24:44,600 --> 00:24:47,080 Speaker 1: Those are not, you know, necessarily what we think of 518 00:24:47,119 --> 00:24:49,520 Speaker 1: as like tech card skills, but these are all things 519 00:24:49,560 --> 00:24:53,680 Speaker 1: that go into you know, working but being able to 520 00:24:53,920 --> 00:24:55,960 Speaker 1: think in this way. And so I just love this 521 00:24:56,040 --> 00:24:59,040 Speaker 1: example because I think it really does illustrate how all 522 00:24:59,080 --> 00:25:02,199 Speaker 1: of these different skills that aren't necessarily the tech the 523 00:25:02,320 --> 00:25:05,840 Speaker 1: hard skill or knowing Python or knowing you know, knowing 524 00:25:05,840 --> 00:25:08,720 Speaker 1: the code, they will help you when you're when you're 525 00:25:08,720 --> 00:25:09,520 Speaker 1: doing these kinds of things. 526 00:25:09,560 --> 00:25:11,760 Speaker 2: That's like a whole way of thinking. I love that example. 527 00:25:12,680 --> 00:25:15,399 Speaker 5: I mean, that's definitely a whole correlation between art, music, 528 00:25:15,520 --> 00:25:18,000 Speaker 5: and maths, and we know that that's been proven to 529 00:25:18,040 --> 00:25:20,440 Speaker 5: be linkage, and which is why would people talk about 530 00:25:20,480 --> 00:25:23,879 Speaker 5: losing arts and losing music is really detrimental for a 531 00:25:23,880 --> 00:25:27,040 Speaker 5: lot of kids learnings and just overall development. And this 532 00:25:27,080 --> 00:25:29,159 Speaker 5: is one of those more things because not only what 533 00:25:29,200 --> 00:25:31,040 Speaker 5: she's doing art, which she's an amazing at which I 534 00:25:31,040 --> 00:25:33,080 Speaker 5: saw some of the pieces that she's selling now I'm like, Wow, 535 00:25:33,080 --> 00:25:37,080 Speaker 5: it's gorgeous, but that it translated into yeah, these little 536 00:25:37,080 --> 00:25:41,680 Speaker 5: squares and dots and which also equals numbers and such. 537 00:25:41,880 --> 00:25:44,000 Speaker 5: This is me knowing all this stuff obviously, but the 538 00:25:44,080 --> 00:25:47,160 Speaker 5: fact that there's a greater picture of how it's all 539 00:25:47,200 --> 00:25:48,960 Speaker 5: correlated and it is linked. 540 00:25:49,040 --> 00:25:50,000 Speaker 2: Oh absolutely. 541 00:25:50,080 --> 00:25:53,040 Speaker 1: And I mean that's why I obviously am such a 542 00:25:53,080 --> 00:25:56,320 Speaker 1: big advocate for young people going into stem and steam 543 00:25:56,400 --> 00:25:56,920 Speaker 1: fields and. 544 00:25:56,880 --> 00:25:58,320 Speaker 2: Get and getting that kind of education. 545 00:25:58,800 --> 00:26:01,199 Speaker 1: But I also think they're exactly right that you have 546 00:26:01,280 --> 00:26:04,119 Speaker 1: to have a well rounded approach. And so if we 547 00:26:04,200 --> 00:26:06,960 Speaker 1: lose the arts, if we lose music and the fundings 548 00:26:06,960 --> 00:26:09,480 Speaker 1: of these things, when people are like, oh, well, just 549 00:26:09,560 --> 00:26:11,600 Speaker 1: learn to code and get a job like that, It'll 550 00:26:11,640 --> 00:26:14,320 Speaker 1: be so much harder if these students are not well 551 00:26:14,400 --> 00:26:17,480 Speaker 1: rounded students who do not have a well rounded art education. 552 00:26:17,600 --> 00:26:20,800 Speaker 1: And so you know, I am an English major, right Like, 553 00:26:20,920 --> 00:26:23,680 Speaker 1: I did not have a hard skills background. So many 554 00:26:23,680 --> 00:26:26,280 Speaker 1: people who made it a big splash and tech had 555 00:26:26,480 --> 00:26:30,400 Speaker 1: arts degrees, humanity degrees, you know, studied music, studied literature, 556 00:26:30,440 --> 00:26:33,399 Speaker 1: and so I definitely am a big advocate for a 557 00:26:33,440 --> 00:26:36,200 Speaker 1: well rounded approach. I am not someone who was like, oh, 558 00:26:36,359 --> 00:26:38,920 Speaker 1: just learn to code, that'll solve all your problems, because 559 00:26:38,960 --> 00:26:42,439 Speaker 1: we do need all kinds of skills to have, you know, 560 00:26:42,520 --> 00:26:45,360 Speaker 1: young people who are really equipped to go into these fields. 561 00:26:45,880 --> 00:26:47,240 Speaker 4: Yeah. Absolutely. 562 00:26:47,320 --> 00:26:51,080 Speaker 3: And one of the things in this story, and Susan 563 00:26:51,080 --> 00:26:55,800 Speaker 3: Carrey's story is one of my favorite kind of random 564 00:26:55,880 --> 00:26:58,320 Speaker 3: I guess it's a good tell of when you grew 565 00:26:58,400 --> 00:27:01,680 Speaker 3: up in terms of technology when you're talking about your legacy, 566 00:27:01,880 --> 00:27:04,000 Speaker 3: because if you examine some of these symbols, like my 567 00:27:04,080 --> 00:27:06,960 Speaker 3: ex boyfriend used to argue so hard, like, we need 568 00:27:07,000 --> 00:27:09,200 Speaker 3: to redefine what these mean because they don't mean. 569 00:27:09,040 --> 00:27:13,439 Speaker 4: The same thing anymore. Right. One is the icon for 570 00:27:13,680 --> 00:27:15,359 Speaker 4: saving if you could talk about that. 571 00:27:15,720 --> 00:27:17,000 Speaker 2: Oh, it is such a good one. 572 00:27:17,040 --> 00:27:19,640 Speaker 1: So Susan Kara came up with that concept of the 573 00:27:20,200 --> 00:27:23,400 Speaker 1: icon being an association or an illustration of the thing 574 00:27:23,440 --> 00:27:25,520 Speaker 1: that you were doing. So like the pain bucket being 575 00:27:25,600 --> 00:27:27,280 Speaker 1: used to fill a surface with color, or like the 576 00:27:27,320 --> 00:27:29,200 Speaker 1: scissor is being used to be the cut function. 577 00:27:29,520 --> 00:27:32,480 Speaker 2: So when you think about the save function, right, So. 578 00:27:32,840 --> 00:27:34,920 Speaker 1: If you are a contemporary of me, and I think 579 00:27:35,119 --> 00:27:37,760 Speaker 1: Annie and Samantha, I think you got you all as well. 580 00:27:38,359 --> 00:27:40,639 Speaker 1: When you were saving something, you had to save it 581 00:27:40,640 --> 00:27:42,560 Speaker 1: on a floppy disc. You don't put a floppy disc 582 00:27:42,840 --> 00:27:46,120 Speaker 1: that's square with the metal thinging on it into your computer. 583 00:27:46,320 --> 00:27:49,680 Speaker 1: And not only that, you had to manually hit save 584 00:27:50,040 --> 00:27:53,160 Speaker 1: every I don't know, fifteen twenty minutes, otherwise it wouldn't save. 585 00:27:53,359 --> 00:27:56,080 Speaker 1: Now Here in twenty twenty one, you're probably working on 586 00:27:56,160 --> 00:27:57,880 Speaker 1: Google Docs or some other kind of interface. 587 00:27:58,080 --> 00:27:59,200 Speaker 2: It saves automatically. 588 00:27:59,600 --> 00:28:02,680 Speaker 1: You don't have to put any kind of external thing 589 00:28:02,840 --> 00:28:06,280 Speaker 1: into your computer for to save this. The concept is 590 00:28:06,280 --> 00:28:09,680 Speaker 1: is so different, yet the little disc, it's still the 591 00:28:09,720 --> 00:28:13,280 Speaker 1: image for save. And so I almost wonder, like, I 592 00:28:13,320 --> 00:28:16,240 Speaker 1: don't know that young people know what that I like. 593 00:28:16,280 --> 00:28:19,880 Speaker 1: They're probably not as innately familiar with, like the floppy 594 00:28:19,920 --> 00:28:22,520 Speaker 1: disc as they are, Yet that is still the icon 595 00:28:22,560 --> 00:28:25,159 Speaker 1: for SAVE, even though you don't even really have to 596 00:28:25,200 --> 00:28:27,320 Speaker 1: say that's you used to, right, It's It's funny how 597 00:28:27,320 --> 00:28:27,919 Speaker 1: it's endured. 598 00:28:28,800 --> 00:28:31,199 Speaker 5: Oh my god, you just reminded me. We did a 599 00:28:31,320 --> 00:28:34,640 Speaker 5: time capsule I think in my eighth grade, sixth grade year, 600 00:28:35,160 --> 00:28:36,639 Speaker 5: and I think I put in a thing of floppy 601 00:28:36,640 --> 00:28:38,560 Speaker 5: disks like blank on really. 602 00:28:39,120 --> 00:28:42,280 Speaker 2: Yeah, god, I have a lot of floppy disc memories. 603 00:28:42,320 --> 00:28:44,880 Speaker 1: I remember, Oh my god, if he's listening to this, 604 00:28:45,000 --> 00:28:48,080 Speaker 1: he's gonna kill me. My older brother he had to 605 00:28:48,120 --> 00:28:52,000 Speaker 1: do a class project and at the time we were fighting, 606 00:28:52,200 --> 00:28:53,920 Speaker 1: and I remember he had it on a floppy disk 607 00:28:53,960 --> 00:28:57,320 Speaker 1: that he left on the computer, and I swapped it 608 00:28:57,400 --> 00:29:00,280 Speaker 1: out with a blank one, So like, I put is 609 00:29:00,840 --> 00:29:02,800 Speaker 1: his in my backpack and put a blank one on 610 00:29:02,960 --> 00:29:03,440 Speaker 1: the computer. 611 00:29:03,840 --> 00:29:05,440 Speaker 2: So when he got to school he was like, wait, 612 00:29:05,480 --> 00:29:08,120 Speaker 2: where's my project? Oh that's me. 613 00:29:10,840 --> 00:29:11,640 Speaker 5: That's real, betty. 614 00:29:12,120 --> 00:29:17,080 Speaker 2: Really it was very petty. It was very petty. He's 615 00:29:17,080 --> 00:29:17,600 Speaker 2: listening to this. 616 00:29:17,640 --> 00:29:20,520 Speaker 1: I apologize, but you know you're deserved it. 617 00:29:20,800 --> 00:29:26,200 Speaker 5: But yet, yeah, thank you. But yeah, no, I just 618 00:29:26,280 --> 00:29:28,320 Speaker 5: remember them because I knew that it would be outdated 619 00:29:28,360 --> 00:29:28,920 Speaker 5: by that point. 620 00:29:29,040 --> 00:29:31,360 Speaker 2: I was right, you were right, you were you were 621 00:29:31,440 --> 00:29:32,520 Speaker 2: like prophetic here. 622 00:29:32,560 --> 00:29:34,320 Speaker 5: I know, right. I'm sure it costs a lot of money, 623 00:29:34,360 --> 00:29:35,320 Speaker 5: so I can't believe I did that. 624 00:29:35,560 --> 00:29:38,000 Speaker 1: Oh they used to be hella expensive. Wow, that was 625 00:29:38,040 --> 00:29:38,880 Speaker 1: like thirty dollars. 626 00:29:39,000 --> 00:29:41,440 Speaker 5: Yeah, I'm kind of remind like, why maybe I took one. 627 00:29:41,520 --> 00:29:43,600 Speaker 5: I just remember putting something to do with the floppy does. 628 00:29:43,600 --> 00:29:45,120 Speaker 5: So I'm gonna put this in here because it's gonna 629 00:29:45,120 --> 00:29:46,800 Speaker 5: make it dumb. 630 00:29:47,640 --> 00:29:48,080 Speaker 4: I love it. 631 00:29:48,200 --> 00:29:50,240 Speaker 2: It's like one of those things, you know how. 632 00:29:50,640 --> 00:29:52,640 Speaker 1: I think some comedian has this this line and his 633 00:29:52,720 --> 00:29:55,920 Speaker 1: stand up where when you're driving and you want someone 634 00:29:55,960 --> 00:29:59,160 Speaker 1: to roll down their window, even though most cars no 635 00:29:59,200 --> 00:30:01,920 Speaker 1: longer have the rank, that's still the motion that you 636 00:30:02,040 --> 00:30:04,160 Speaker 1: do to tell someone, even though you're like, well the 637 00:30:04,920 --> 00:30:06,840 Speaker 1: cars haven't really had this for a while, why am 638 00:30:06,840 --> 00:30:07,440 Speaker 1: I doing this? 639 00:30:07,640 --> 00:30:09,880 Speaker 2: That's still the enduring motion that you do. 640 00:30:10,280 --> 00:30:12,200 Speaker 5: But it keeps it. Yeah, just the things like she 641 00:30:12,520 --> 00:30:15,680 Speaker 5: created this in the eighties and it's still iconic and 642 00:30:15,720 --> 00:30:18,240 Speaker 5: it's still used today. And even though I may not 643 00:30:18,440 --> 00:30:19,880 Speaker 5: have known what a MAC. 644 00:30:19,880 --> 00:30:24,520 Speaker 3: Was, it was definitely universally used right well, And that's 645 00:30:24,520 --> 00:30:26,760 Speaker 3: funny to think about to you because there's some technologies 646 00:30:26,840 --> 00:30:29,840 Speaker 3: like the floppy disc that did just go by the wayside. 647 00:30:29,840 --> 00:30:31,160 Speaker 3: And that's one of my favorite things. Back to the 648 00:30:31,200 --> 00:30:33,560 Speaker 3: future too, when they thought the fax machine was going 649 00:30:33,640 --> 00:30:37,240 Speaker 3: to be the thing, but like the you have a 650 00:30:37,280 --> 00:30:39,560 Speaker 3: story and hear about like the copy machine, right. 651 00:30:40,880 --> 00:30:43,080 Speaker 1: So she was initially going to have the copy function 652 00:30:43,200 --> 00:30:45,960 Speaker 1: be a little illustration of a copy machine that you 653 00:30:46,000 --> 00:30:48,160 Speaker 1: would drag and drop your file that you wanted to 654 00:30:48,200 --> 00:30:49,960 Speaker 1: be duplicated onto the copier. 655 00:30:50,280 --> 00:30:52,160 Speaker 2: But copy machines are like. 656 00:30:52,440 --> 00:30:56,280 Speaker 1: Kind of complicated and like difficult to render at that size, 657 00:30:56,480 --> 00:30:58,360 Speaker 1: and so that didn't work. And then she got this 658 00:30:58,440 --> 00:31:02,800 Speaker 1: idea to try of a cat in a mirror, which 659 00:31:02,880 --> 00:31:04,760 Speaker 1: I feel like that really tells me a lot about 660 00:31:04,760 --> 00:31:08,240 Speaker 1: how she was thinking about these illustrations, Like that's a 661 00:31:08,320 --> 00:31:12,120 Speaker 1: really like using a cat and looking into a mirror 662 00:31:12,240 --> 00:31:16,240 Speaker 1: as a way to illustrate the copy functionality. I don't know, 663 00:31:16,280 --> 00:31:19,320 Speaker 1: I just want that to be a very interesting manifestation 664 00:31:19,400 --> 00:31:21,280 Speaker 1: of what the copy function does, you. 665 00:31:21,240 --> 00:31:21,680 Speaker 2: Know what I mean? 666 00:31:22,280 --> 00:31:24,560 Speaker 5: Maybe because it started with the C but I improved that. 667 00:31:24,600 --> 00:31:25,400 Speaker 5: I want that now. 668 00:31:25,680 --> 00:31:25,920 Speaker 2: I know. 669 00:31:26,040 --> 00:31:27,400 Speaker 4: I wish that was the case. 670 00:31:27,960 --> 00:31:30,800 Speaker 3: That's the direction we've gone, and I can just imagine. 671 00:31:30,960 --> 00:31:33,280 Speaker 3: I mean, that would be iconic if that is what 672 00:31:33,360 --> 00:31:37,640 Speaker 3: it was like today, that'd be on shirts. The cat, 673 00:31:38,000 --> 00:31:40,160 Speaker 3: the cat just staring into the mirror. 674 00:31:41,040 --> 00:31:43,240 Speaker 5: Yeah, the coffee cat. 675 00:31:45,200 --> 00:31:46,080 Speaker 2: I think I can't get it. 676 00:31:46,160 --> 00:31:48,960 Speaker 4: Yeah, yeah, yeah, I love it. I'm so good. 677 00:31:51,080 --> 00:31:54,680 Speaker 1: That is a creative mind, like perhaps not the most 678 00:31:55,400 --> 00:31:58,120 Speaker 1: intuitive like that, Like I think that what she ended 679 00:31:58,160 --> 00:31:59,680 Speaker 1: up going with was like much better. 680 00:31:59,720 --> 00:32:02,600 Speaker 2: But it's like I can sort of see her her logic. 681 00:32:02,720 --> 00:32:03,960 Speaker 2: I guess in what she was. 682 00:32:03,960 --> 00:32:06,400 Speaker 1: Going for with the with the copycat in the mirror. 683 00:32:06,680 --> 00:32:08,400 Speaker 4: Yes, it's so good. 684 00:32:08,440 --> 00:32:11,320 Speaker 5: I'm good with it. I would have approved that immediately. 685 00:32:25,000 --> 00:32:29,200 Speaker 3: So at the top, you said that Care's still alive today, 686 00:32:29,240 --> 00:32:30,360 Speaker 3: what's she up to? 687 00:32:30,960 --> 00:32:33,440 Speaker 1: So that's my favorite thing about this story is that 688 00:32:33,760 --> 00:32:36,160 Speaker 1: I feel so often when we're talking about somebody who 689 00:32:36,160 --> 00:32:39,600 Speaker 1: had a great impact, we're talking about them after they have, 690 00:32:39,840 --> 00:32:42,960 Speaker 1: you know, aged out of whatever they're doing, or they've 691 00:32:42,960 --> 00:32:46,320 Speaker 1: passed away. Not Care Carr is still very much alive 692 00:32:46,360 --> 00:32:50,080 Speaker 1: and very much involved in tech. So today she works 693 00:32:50,080 --> 00:32:52,320 Speaker 1: at Pinterest, where you are probably familiar if you use 694 00:32:52,360 --> 00:32:55,160 Speaker 1: Pinterest with some of her current designs. She designed the 695 00:32:55,160 --> 00:32:57,959 Speaker 1: image on Pinterest that is modeled after a pushpin that 696 00:32:58,000 --> 00:33:01,720 Speaker 1: symbolizes pinning an item. So again that kind. 697 00:33:01,560 --> 00:33:05,560 Speaker 2: Of idea of having the icon be kind. 698 00:33:05,440 --> 00:33:07,640 Speaker 1: Of a visualization of what the user is supposed to 699 00:33:07,680 --> 00:33:10,840 Speaker 1: be doing, and the spinning button that appears on Pinterest 700 00:33:10,840 --> 00:33:14,760 Speaker 1: when you refreshed. So very much still a person involved 701 00:33:14,840 --> 00:33:18,600 Speaker 1: in imagining what tech looks like today, the tech that 702 00:33:18,600 --> 00:33:20,760 Speaker 1: we use all the time. If you use Pinterest, she's 703 00:33:20,920 --> 00:33:22,800 Speaker 1: in your Her designs are in your pocket, you. 704 00:33:22,720 --> 00:33:23,880 Speaker 2: Know, which I just I just love. 705 00:33:24,200 --> 00:33:24,480 Speaker 4: Yeah. 706 00:33:24,600 --> 00:33:26,840 Speaker 1: You could also find her notebooks today. They're part of 707 00:33:26,880 --> 00:33:29,280 Speaker 1: the permanent collections at the New York and San Francisco 708 00:33:29,440 --> 00:33:31,360 Speaker 1: Modern Art Museum, which the one in New York is 709 00:33:31,400 --> 00:33:32,719 Speaker 1: my favorite art museum on the planet. 710 00:33:32,720 --> 00:33:33,320 Speaker 2: It's so cool. 711 00:33:33,520 --> 00:33:36,440 Speaker 1: And one was included in the recent London Design Museum 712 00:33:36,440 --> 00:33:41,240 Speaker 1: exhibit called California Designing Freedom. So yeah, she still is this, 713 00:33:41,400 --> 00:33:45,440 Speaker 1: you know, representing this past and present and perhaps future 714 00:33:45,600 --> 00:33:48,520 Speaker 1: of design when it comes to tech, you know, still 715 00:33:48,560 --> 00:33:51,560 Speaker 1: out there, still shaping how we conceptualize the tech that 716 00:33:51,560 --> 00:33:52,480 Speaker 1: we use every day. 717 00:33:52,640 --> 00:33:55,200 Speaker 3: I love that so much, And I just realized that, 718 00:33:55,320 --> 00:33:58,120 Speaker 3: I guess if you look at movies or TV show 719 00:33:58,680 --> 00:34:02,800 Speaker 3: that's another application where it's not necessarily a real world application. 720 00:34:02,840 --> 00:34:04,760 Speaker 3: But if you were a designer and you're designing like 721 00:34:04,800 --> 00:34:07,840 Speaker 3: something sci fi, what will this look like in the future, 722 00:34:07,880 --> 00:34:11,040 Speaker 3: what does this like technology or button or whatever represent, 723 00:34:11,120 --> 00:34:15,279 Speaker 3: and then being able to communicate that to audiences. So, yeah, 724 00:34:15,280 --> 00:34:21,040 Speaker 3: there's a lot of applications here. Definitely, definitely. Did you say, Samantha, 725 00:34:21,080 --> 00:34:22,359 Speaker 3: she has art you can still get? 726 00:34:22,600 --> 00:34:27,080 Speaker 1: Yeah, oh, yes, she had a collection where some of 727 00:34:27,200 --> 00:34:29,200 Speaker 1: the and I don't know, Samantha, I don't know if 728 00:34:29,200 --> 00:34:30,920 Speaker 1: this is what you're referring to. But if you go 729 00:34:30,960 --> 00:34:34,000 Speaker 1: to tearprints dot com you can find her limited edition 730 00:34:34,120 --> 00:34:37,920 Speaker 1: prints and they include like the like little logos and 731 00:34:37,960 --> 00:34:39,440 Speaker 1: things that she designed. 732 00:34:39,680 --> 00:34:41,880 Speaker 2: You can get like the sad mac on a poster 733 00:34:42,160 --> 00:34:45,640 Speaker 2: or the time bomb on a T shirt. 734 00:34:45,840 --> 00:34:48,239 Speaker 1: Right, Like, some of her stuff is really nice, Like 735 00:34:48,280 --> 00:34:52,120 Speaker 1: I really wouldn't mind one of these blankets that has 736 00:34:52,160 --> 00:34:54,759 Speaker 1: all these different icons on it that she designed. And 737 00:34:54,840 --> 00:34:56,879 Speaker 1: what's funny is that when you go to tearprints dot 738 00:34:56,880 --> 00:34:58,480 Speaker 1: com they talk about how she was one of the 739 00:34:58,520 --> 00:35:02,160 Speaker 1: original originators of what we think of today as you know, emojis, 740 00:35:02,200 --> 00:35:04,000 Speaker 1: and so I hadn't even really thought about that that 741 00:35:04,360 --> 00:35:07,239 Speaker 1: her designs is why And I'm emoji obsessed. If you 742 00:35:07,239 --> 00:35:09,520 Speaker 1: ever text me get ready to get a million emojis? 743 00:35:09,560 --> 00:35:12,919 Speaker 1: But yeah, just how how fundamental that is in terms 744 00:35:12,920 --> 00:35:15,040 Speaker 1: of how we think of, you know, representing things online. 745 00:35:15,960 --> 00:35:19,120 Speaker 3: Yes, and that's another great example of what we were 746 00:35:19,160 --> 00:35:23,759 Speaker 3: talking about earlier, where emojis filled a gap that was missing, right, 747 00:35:23,760 --> 00:35:26,920 Speaker 3: and we had to like kind of envision what are 748 00:35:26,920 --> 00:35:27,560 Speaker 3: these emotions? 749 00:35:27,560 --> 00:35:33,040 Speaker 4: What is this trying to convey? And like that is. 750 00:35:34,680 --> 00:35:38,480 Speaker 3: Another example of something that's kind of artistic but being 751 00:35:38,600 --> 00:35:41,440 Speaker 3: in this very kind of technical world. 752 00:35:42,040 --> 00:35:42,239 Speaker 4: Right. 753 00:35:42,600 --> 00:35:46,040 Speaker 5: Also, Annie, I don't know this is what I read earlier. 754 00:35:46,280 --> 00:35:49,920 Speaker 5: It has something that is relating to your superpower. You're 755 00:35:50,080 --> 00:35:55,719 Speaker 5: useless superpowers, which is including fonts or face are you 756 00:35:55,800 --> 00:36:00,560 Speaker 5: going to recognize? I wasn't sure which super emotions when 757 00:36:00,560 --> 00:36:03,120 Speaker 5: I was calling you out, which I'll be like, I 758 00:36:03,120 --> 00:36:05,640 Speaker 5: don't know, you could be lying to me just randomly 759 00:36:05,719 --> 00:36:08,120 Speaker 5: naming a font and I'm just believing you. But yeah, 760 00:36:08,200 --> 00:36:10,520 Speaker 5: because like Chicago was one of them. I know, that 761 00:36:10,560 --> 00:36:12,560 Speaker 5: was one of her first type is what it called. 762 00:36:12,600 --> 00:36:16,000 Speaker 5: And then the emojis, which was Cairo. So how you 763 00:36:16,000 --> 00:36:19,799 Speaker 5: say that c r Iro? But that's the blanket, right, 764 00:36:19,880 --> 00:36:24,600 Speaker 5: So she went even further into the world of computer stuff. 765 00:36:25,040 --> 00:36:25,960 Speaker 5: I'm so officially ill. 766 00:36:26,120 --> 00:36:26,760 Speaker 4: I'm amazing. 767 00:36:27,160 --> 00:36:29,960 Speaker 5: But the fact that she actually created typeface, I actually 768 00:36:29,960 --> 00:36:32,400 Speaker 5: created like fonts is an interesting thing because I've always 769 00:36:32,440 --> 00:36:35,600 Speaker 5: wondered who does this? And also, Annie, why do you 770 00:36:35,760 --> 00:36:39,920 Speaker 5: know these? Could you recognize what Chicago looks like? Chicago twelve? 771 00:36:41,239 --> 00:36:42,040 Speaker 5: I want to test you. 772 00:36:42,000 --> 00:36:45,640 Speaker 3: Now for the listeners who don't know this. I have 773 00:36:45,880 --> 00:36:50,120 Speaker 3: a very useless superpower. It's not as good anymore because 774 00:36:50,120 --> 00:36:52,520 Speaker 3: I used to edit video all the time, and I 775 00:36:52,520 --> 00:36:56,600 Speaker 3: actually would because a font does convey an emotion, all right, 776 00:36:56,719 --> 00:36:57,840 Speaker 3: It does help shape. 777 00:36:57,560 --> 00:36:59,760 Speaker 5: With every Why everybody loves comic SAMs right. 778 00:37:01,480 --> 00:37:02,919 Speaker 4: Future, that's what everybody loves. 779 00:37:03,280 --> 00:37:05,560 Speaker 3: And so I can recognize a font like it is 780 00:37:05,560 --> 00:37:06,680 Speaker 3: one of my most annoying. 781 00:37:07,160 --> 00:37:08,839 Speaker 4: You get a little alcohol in me and I'll be like. 782 00:37:08,960 --> 00:37:15,759 Speaker 3: There's Futura, there's Nancy's chalkboard. I apologize to anyone I've 783 00:37:15,800 --> 00:37:16,840 Speaker 3: ever done that too. 784 00:37:17,600 --> 00:37:18,919 Speaker 2: Do you have a favorite font? 785 00:37:19,360 --> 00:37:21,319 Speaker 3: That's a good question because I used to really love 786 00:37:21,640 --> 00:37:27,880 Speaker 3: I loved the ones that looked like people's handwriting. So 787 00:37:27,920 --> 00:37:32,560 Speaker 3: I did really like Marker felt one with a very 788 00:37:32,680 --> 00:37:36,239 Speaker 3: little bit of dropshadow, very little, or like Nancy's I 789 00:37:36,280 --> 00:37:38,120 Speaker 3: like Nancy's chock word, but I don't know if I 790 00:37:38,120 --> 00:37:40,759 Speaker 3: would say those are my favorite, but they were ones 791 00:37:40,800 --> 00:37:43,560 Speaker 3: I'd turned to a lot because they I wanted those 792 00:37:43,640 --> 00:37:46,040 Speaker 3: videos to feel very approachable, which is actually the stuff 793 00:37:46,040 --> 00:37:47,759 Speaker 3: I've never told you videos. So they're on YouTube and 794 00:37:47,800 --> 00:37:51,120 Speaker 3: can go look at all my chalk and marker based fonts. 795 00:37:52,760 --> 00:37:56,080 Speaker 2: I need to do this right away. I also love 796 00:37:56,120 --> 00:37:57,200 Speaker 2: a good font you know. 797 00:37:57,280 --> 00:37:59,440 Speaker 1: Like I'm not even someone who was technical in this way, 798 00:37:59,440 --> 00:38:02,680 Speaker 1: but like good design is really important, like bad design. 799 00:38:03,239 --> 00:38:04,759 Speaker 1: I can't tell you how many times I've been on 800 00:38:04,800 --> 00:38:07,480 Speaker 1: like a restaurant website page where I'm like. 801 00:38:07,600 --> 00:38:10,520 Speaker 2: This is so infuriating. The fun is terrible, and this 802 00:38:10,640 --> 00:38:12,360 Speaker 2: user experience is terrible. I don't even want to go 803 00:38:12,360 --> 00:38:13,320 Speaker 2: to this restaurant anymore. 804 00:38:13,400 --> 00:38:18,080 Speaker 1: Like good like good design can really open some doors, 805 00:38:18,120 --> 00:38:19,880 Speaker 1: and bad design can really close them. 806 00:38:19,880 --> 00:38:20,600 Speaker 2: I'll just put it that. 807 00:38:20,560 --> 00:38:25,600 Speaker 5: Way, right, You are completely correct, But no, I just 808 00:38:25,640 --> 00:38:27,759 Speaker 5: like that. I just was like, oh, look she did 809 00:38:27,760 --> 00:38:29,360 Speaker 5: this and this, and then that blanket. I was like, oh, 810 00:38:29,400 --> 00:38:32,200 Speaker 5: I love this blanket just has all those essentially emojis 811 00:38:32,760 --> 00:38:35,680 Speaker 5: that's all over her blankets that she designed. I was like, 812 00:38:35,680 --> 00:38:37,319 Speaker 5: that is so cool. And then I thought about the 813 00:38:37,320 --> 00:38:39,640 Speaker 5: fact that and he loves talking about how she has 814 00:38:39,640 --> 00:38:44,360 Speaker 5: the superpower. So you're welcome for telling everyone your superpower. 815 00:38:46,280 --> 00:38:49,879 Speaker 3: It's a good power, right, It's literally my most useless one, 816 00:38:50,000 --> 00:38:51,239 Speaker 3: but also the safest one. 817 00:38:51,239 --> 00:38:51,839 Speaker 4: I'm glad you are. 818 00:38:54,160 --> 00:38:59,400 Speaker 2: Wait, okay, finally. 819 00:38:59,400 --> 00:39:03,440 Speaker 5: They got killed killed. That conversation real good, you know, awesome. 820 00:39:07,160 --> 00:39:11,400 Speaker 3: Well, when it comes to to Care and these icons 821 00:39:11,400 --> 00:39:14,880 Speaker 3: she's going to have, like her legacy is a lasting legacy, 822 00:39:15,080 --> 00:39:16,240 Speaker 3: it is a lasting legacy. 823 00:39:16,239 --> 00:39:18,520 Speaker 1: And I guess, yeah, as I said, I think it's 824 00:39:18,600 --> 00:39:21,240 Speaker 1: important to highlight. You know, what she did was important. 825 00:39:21,320 --> 00:39:24,840 Speaker 1: You know, I couldn't tell you whether or not personal 826 00:39:24,840 --> 00:39:27,319 Speaker 1: computing would be the same if not for Care, But 827 00:39:27,600 --> 00:39:29,040 Speaker 1: I know that she had an impact, and I think 828 00:39:29,080 --> 00:39:31,040 Speaker 1: it's important to recognize. And I also just think it's 829 00:39:31,040 --> 00:39:33,960 Speaker 1: important to again underscore that she did all of this 830 00:39:34,040 --> 00:39:36,600 Speaker 1: as a non technical person. She told the Smithsonian aboutter 831 00:39:36,640 --> 00:39:39,239 Speaker 1: time at Apple. I loved working on that project. I 832 00:39:39,239 --> 00:39:41,640 Speaker 1: always felt so lucky for the opportunity to be a 833 00:39:41,640 --> 00:39:43,960 Speaker 1: non technical person and a software group. 834 00:39:44,200 --> 00:39:45,040 Speaker 2: I was all by. 835 00:39:44,880 --> 00:39:48,440 Speaker 1: Being able to collaborate with such creative, capable and dedicative engineers. 836 00:39:48,920 --> 00:39:52,160 Speaker 1: And yeah, I think it's really awesome that she was 837 00:39:52,200 --> 00:39:56,000 Speaker 1: holding it down on this group of engineers as a 838 00:39:56,200 --> 00:40:00,640 Speaker 1: non technical woman doing her thing and really building out 839 00:40:00,680 --> 00:40:03,680 Speaker 1: a lasting, enduring legacy in a field where things don't 840 00:40:03,680 --> 00:40:06,000 Speaker 1: often last and don't often endure in this way. 841 00:40:06,040 --> 00:40:08,239 Speaker 2: So I think it's really important to recognize her work. 842 00:40:08,600 --> 00:40:11,960 Speaker 3: I do too, and I think, you know, even looking 843 00:40:12,000 --> 00:40:15,919 Speaker 3: back at the time when she was doing this and yeah, 844 00:40:15,960 --> 00:40:19,400 Speaker 3: being a woman in this non technical space and I 845 00:40:19,400 --> 00:40:23,120 Speaker 3: don't know, creating these things that have lasted, it's just 846 00:40:23,360 --> 00:40:25,240 Speaker 3: very very inspiring, and I'm glad. 847 00:40:25,680 --> 00:40:27,720 Speaker 4: I'm glad that you brought this story to our attention. 848 00:40:27,840 --> 00:40:29,640 Speaker 4: Bridget Thank you. 849 00:40:29,640 --> 00:40:32,000 Speaker 2: For giving me the space to nerd out on this. 850 00:40:32,560 --> 00:40:35,560 Speaker 1: Honestly, it truly is because I saw that badass picture 851 00:40:35,560 --> 00:40:36,560 Speaker 1: of her on old. 852 00:40:36,360 --> 00:40:38,880 Speaker 2: School Cool on Reddit. So whoever put that on Reddit, 853 00:40:38,960 --> 00:40:39,399 Speaker 2: thank you. 854 00:40:39,680 --> 00:40:42,520 Speaker 1: Yes, listeners, please, if you have not seen that picture, 855 00:40:42,719 --> 00:40:43,200 Speaker 1: look it up. 856 00:40:43,320 --> 00:40:44,080 Speaker 2: She is amazing. 857 00:40:44,960 --> 00:40:47,720 Speaker 4: Yes, Yes, it's so cool. 858 00:40:48,560 --> 00:40:52,480 Speaker 5: So goals I had goals, that would be one of them. 859 00:40:52,840 --> 00:40:58,880 Speaker 4: Yeah, her picture. Yes, you can achieve this, Samantha. Now 860 00:40:59,360 --> 00:40:59,960 Speaker 4: I don't think so. 861 00:41:00,040 --> 00:41:01,840 Speaker 5: I would fall out, like there's so many levels of 862 00:41:01,840 --> 00:41:04,279 Speaker 5: col that I couldn't hit and one of them would 863 00:41:04,280 --> 00:41:05,239 Speaker 5: be actually sitting like that. 864 00:41:06,800 --> 00:41:09,640 Speaker 2: Yeah, I worried for her back. Help she's really lean back. 865 00:41:13,400 --> 00:41:17,120 Speaker 4: Well, thanks is always for being here, Bridget. Where can 866 00:41:17,120 --> 00:41:18,040 Speaker 4: the listeners find you? 867 00:41:18,440 --> 00:41:21,200 Speaker 1: Well, if you want more nerding out on all things 868 00:41:21,280 --> 00:41:23,480 Speaker 1: tech and the Internet and things of that nature, you 869 00:41:23,520 --> 00:41:26,640 Speaker 1: can definitely check out my podcast on iHeartRadio called there 870 00:41:26,640 --> 00:41:27,720 Speaker 1: Are No Girls on the Internet. 871 00:41:27,760 --> 00:41:29,879 Speaker 2: We would love to have you there, and you can 872 00:41:29,880 --> 00:41:31,320 Speaker 2: follow me on social media. 873 00:41:31,440 --> 00:41:34,520 Speaker 1: I'm at Bridget Marie on Twitter and at Bridget Marie 874 00:41:34,600 --> 00:41:36,360 Speaker 1: in DC on Instagram. 875 00:41:36,440 --> 00:41:40,359 Speaker 3: Yes, so go check out that podcast. Follow Bridget if 876 00:41:40,360 --> 00:41:43,279 Speaker 3: you don't already, listeners, and we can't wait to have 877 00:41:43,400 --> 00:41:44,480 Speaker 3: you again, Bridget. 878 00:41:44,520 --> 00:41:47,120 Speaker 1: Oh, I can't wait. I cannot wait talk sex in 879 00:41:47,120 --> 00:41:47,719 Speaker 1: the city, I. 880 00:41:47,600 --> 00:41:51,799 Speaker 3: Bet oh, And just like that, And. 881 00:41:53,480 --> 00:41:54,840 Speaker 2: You don't get that joke because you don't want to 882 00:41:54,840 --> 00:41:55,080 Speaker 2: one to know. 883 00:41:56,239 --> 00:41:58,399 Speaker 4: I don't want to be left out of the conversation. 884 00:41:58,760 --> 00:42:01,280 Speaker 5: Help, but wonder, I couldn't help, but wonder? 885 00:42:02,480 --> 00:42:05,040 Speaker 3: All right, all right to watch it. I'm just a 886 00:42:05,040 --> 00:42:11,239 Speaker 3: little nervous, but I'm bound to watch it. I guess, Yes, 887 00:42:11,320 --> 00:42:11,759 Speaker 3: it will be. 888 00:42:11,840 --> 00:42:12,319 Speaker 4: It will be. 889 00:42:12,480 --> 00:42:14,600 Speaker 3: And if you'd like to contact us listeners, you can 890 00:42:14,680 --> 00:42:17,200 Speaker 3: or emails stuff Media mom Stuff at iHeartMedia dot com. 891 00:42:17,239 --> 00:42:18,880 Speaker 3: You can find us on Instagram at Stuff I've Never 892 00:42:18,920 --> 00:42:21,120 Speaker 3: Told You or on Twitter at mom Stuff Podcast. Thanks 893 00:42:21,120 --> 00:42:24,080 Speaker 3: as always to our super producer Christina. Thank you, Christina, 894 00:42:24,360 --> 00:42:26,320 Speaker 3: and thanks to you for listening Stuff I Never Told You. 895 00:42:26,360 --> 00:42:29,040 Speaker 3: Protection of iHeartRadio. For more podcasts from iHeartRadio, it's It's 896 00:42:29,040 --> 00:42:31,040 Speaker 3: the iHeart Radio app, Apple Podcasts, or wherever you listen 897 00:42:31,080 --> 00:42:31,879 Speaker 3: to your favorite show