1 00:00:00,000 --> 00:00:07,040 there's a broader question here, right? As we build socially and emotionally intelligent machines, 2 00:00:07,920 --> 00:00:12,640 what does that mean about our relationship with them and then more broadly our relationship with 3 00:00:12,640 --> 00:00:18,240 one another, right? Because this machine is going to be programmed to be amazing at empathy, 4 00:00:18,240 --> 00:00:22,560 by definition, right? It's going to always be there for you. It's not going to get bored. 5 00:00:23,440 --> 00:00:25,680 I don't know how I feel about that. I think about that a lot. 6 00:00:25,680 --> 00:00:30,320 TITO The following is a conversation with Rana 7 00:00:30,320 --> 00:00:36,080 L. Kliubi, a pioneer in the field of emotion recognition and human centric artificial 8 00:00:36,080 --> 00:00:43,920 intelligence. She is the founder of Effectiva, deputy CEO of SmartEye, author of Girl Decoded, 9 00:00:43,920 --> 00:00:49,200 and one of the most brilliant, kind, inspiring, and fun human beings I've gotten the chance to 10 00:00:49,200 --> 00:00:54,800 talk to. This is the Lex Friedman podcast. To support it, please check out our sponsors in 11 00:00:54,800 --> 00:01:02,400 the description. And now, dear friends, here's Rana L. Kliubi. You grew up in the Middle East, 12 00:01:02,400 --> 00:01:08,000 in Egypt. What is the memory from that time that makes you smile? Or maybe a memory that stands out 13 00:01:08,000 --> 00:01:12,320 as helping your mind take shape and helping you define yourself in this world? 14 00:01:12,320 --> 00:01:15,440 RANA L. KLIUBI So the memory that stands out is we used to 15 00:01:15,440 --> 00:01:21,680 live in my grandma's house. She used to have these mango trees in her garden. And in the summer, 16 00:01:21,680 --> 00:01:26,640 and so mango season was like July and August. And so in the summer, she would invite all my aunts 17 00:01:26,640 --> 00:01:31,680 and uncles and cousins. And it was just like maybe there were like 20 or 30 people in the house, 18 00:01:31,680 --> 00:01:38,080 and she would cook all this amazing food. And us, the kids, we would go down the garden, 19 00:01:38,080 --> 00:01:43,920 and we would pick all these mangoes. And I don't know, I think it's just the bringing people 20 00:01:43,920 --> 00:01:47,920 together that always stuck with me, the warmth. TITO Around the mango tree. 21 00:01:47,920 --> 00:01:52,800 RANA L. KLIUBI Yeah, around the mango tree. And there's just like the joy, the joy of being 22 00:01:52,800 --> 00:02:00,880 together around food. And I'm a terrible cook. So I guess that didn't, that memory didn't translate 23 00:02:00,880 --> 00:02:05,520 to me kind of doing the same. I love hosting people. TITO Do you remember colors, smells? 24 00:02:05,520 --> 00:02:10,560 Is that what, like what, how does memory work? Like what do you visualize? Do you visualize 25 00:02:10,560 --> 00:02:19,360 people's faces, smiles? Do you, is there colors? Is there like a theme to the colors? Is it smells 26 00:02:19,360 --> 00:02:23,360 because of food involved? RANA L. KLIUBI Yeah, I think that's a great question. So the, 27 00:02:23,360 --> 00:02:28,800 those Egyptian mangoes, there's a particular type that I love, and it's called Darwasi mangoes. And 28 00:02:28,800 --> 00:02:33,680 they're kind of, you know, they're oval, and they have a little red in them. So I kind of, 29 00:02:33,680 --> 00:02:39,600 they're red and mango colored on the outside. So I remember that. TITO Does red indicate like 30 00:02:39,600 --> 00:02:45,520 extra sweetness? Is that, is that, that means like it's nicely, yeah, it's nice and ripe and stuff. 31 00:02:45,520 --> 00:02:52,640 Yeah. What, what's like a definitive food of Egypt? You know, there's like these almost 32 00:02:52,640 --> 00:02:58,800 stereotypical foods in different parts of the world, like Ukraine invented borscht. 33 00:02:59,600 --> 00:03:04,800 Borscht is this beet soup with, that you put sour cream on. See, it's not, I can't see if you, 34 00:03:04,800 --> 00:03:10,880 if you know, if you know what it is, I think, you know, is delicious. But if I explain it, 35 00:03:10,880 --> 00:03:15,280 it's just not going to sound delicious. I feel like beet soup. This doesn't make any sense, 36 00:03:15,280 --> 00:03:19,600 but that's kind of, and you probably have actually seen pictures of it because it's one of the 37 00:03:19,600 --> 00:03:26,800 traditional foods in Ukraine, in Russia, in different parts of the Slavic world. So that's, 38 00:03:26,800 --> 00:03:31,520 but it's become so cliche and stereotypical that you almost don't mention it, but it's still 39 00:03:31,520 --> 00:03:35,440 delicious. Like I visited Ukraine, I eat that every single day, so. 40 00:03:35,440 --> 00:03:38,480 Do you, do you make it yourself? How hard is it to make? 41 00:03:38,480 --> 00:03:43,600 No, I don't know. I think to make it well, like anything, like Italians, they say, well, 42 00:03:44,320 --> 00:03:51,760 tomato sauce is easy to make, but to make it right, that's like a generational skill. So anyway, 43 00:03:51,760 --> 00:03:55,200 is there something like that in Egypt? Is there a culture of food? 44 00:03:55,200 --> 00:04:02,880 There is. And actually, we have a similar kind of soup. It's called molokhia, and it's, it's made 45 00:04:02,880 --> 00:04:07,520 of this green plant. It's like, it's somewhere between spinach and kale, and you mince it, 46 00:04:07,520 --> 00:04:13,360 and then you cook it in like chicken broth. And my grandma used to make, and my mom makes it really 47 00:04:13,360 --> 00:04:18,080 well, and I try to make it, but it's not as great. So we used to have that. And then we used to have 48 00:04:18,080 --> 00:04:23,520 it alongside stuffed pigeons. I'm pescetarian now, so I don't eat that anymore, but. 49 00:04:23,520 --> 00:04:24,480 Stuffed pigeons. 50 00:04:24,480 --> 00:04:27,600 Yeah, it's like, it was really yummy. It's the one thing I miss about, 51 00:04:28,480 --> 00:04:32,080 you know, now that I'm pescetarian and I don't eat. 52 00:04:32,080 --> 00:04:33,040 The stuffed pigeons? 53 00:04:33,040 --> 00:04:34,240 Yeah, the stuffed pigeons. 54 00:04:35,440 --> 00:04:39,920 Is it, what are they stuffed with? If that doesn't bother you too much to describe. 55 00:04:39,920 --> 00:04:46,000 No, no, it's stuffed with a lot of like just rice and, yeah, it's just rice. Yeah, so. 56 00:04:46,000 --> 00:04:51,120 And you also, you said that your first, in your book, that your first computer 57 00:04:51,120 --> 00:04:54,880 was an Atari, and Space Invaders was your favorite game. 58 00:04:56,000 --> 00:04:58,800 Is that when you first fell in love with computers, would you say? 59 00:04:58,800 --> 00:05:00,160 Yeah, I would say so. 60 00:05:00,160 --> 00:05:04,160 Video games, or just the computer itself? Just something about the machine. 61 00:05:04,160 --> 00:05:07,840 Ooh, this thing, there's magic in here. 62 00:05:07,840 --> 00:05:12,080 Yeah, I think the magical moment is definitely like playing video games with my, 63 00:05:12,080 --> 00:05:17,120 I have two younger sisters, and we would just like had fun together, like playing games. 64 00:05:17,120 --> 00:05:22,240 But the other memory I have is my first code, the first code I wrote. 65 00:05:22,240 --> 00:05:26,720 I wrote, I drew a Christmas tree, and I'm Muslim, right? 66 00:05:26,720 --> 00:05:32,000 So it's kind of, it was kind of funny that the first thing I did was like this Christmas tree. 67 00:05:32,000 --> 00:05:38,320 So, yeah, and that's when I realized, wow, you can write code to do all sorts of like 68 00:05:38,320 --> 00:05:42,720 really cool stuff. I must have been like six or seven at the time. 69 00:05:42,720 --> 00:05:48,560 So you can write programs, and the programs do stuff for you. That's power. 70 00:05:48,560 --> 00:05:50,880 That's, if you think about it, that's empowering. 71 00:05:50,880 --> 00:05:51,600 It's AI. 72 00:05:51,600 --> 00:05:55,120 Yeah, I know what it is. I don't know if that, you see like, 73 00:05:56,400 --> 00:05:59,520 I don't know if many people think of it that way when they first learned to program. 74 00:05:59,520 --> 00:06:02,880 They just love the puzzle of it. Like, ooh, this is cool. This is pretty. 75 00:06:02,880 --> 00:06:05,600 It's a Christmas tree, but like, it's power. 76 00:06:05,600 --> 00:06:06,960 It is power. 77 00:06:06,960 --> 00:06:11,040 Eventually, I guess you couldn't at the time, but eventually this thing, 78 00:06:11,040 --> 00:06:14,640 if it's interesting enough, if it's a pretty enough Christmas tree, 79 00:06:14,640 --> 00:06:19,280 it can be run by millions of people and bring them joy, like that little thing. 80 00:06:19,280 --> 00:06:21,760 And then because it's digital, it's easy to spread. 81 00:06:22,400 --> 00:06:26,560 So like you just created something that's easily spreadable to millions of people. 82 00:06:26,560 --> 00:06:27,120 Totally. 83 00:06:28,160 --> 00:06:29,840 It's hard to think that way when you're six. 84 00:06:30,800 --> 00:06:37,040 In the book, you write, I am who I am because I was raised by a particular set of parents, 85 00:06:37,040 --> 00:06:41,200 both modern and conservative, forward thinking, yet locked in tradition. 86 00:06:41,760 --> 00:06:46,000 I'm a Muslim and I feel I'm stronger, more centered for it. 87 00:06:46,000 --> 00:06:50,960 I adhere to the values of my religion, even if I'm not as dutiful as I once was. 88 00:06:50,960 --> 00:06:55,040 And I am a new American and I'm thriving on the energy, 89 00:06:55,040 --> 00:06:58,720 vitality and entrepreneurial spirit of this great country. 90 00:06:59,840 --> 00:07:01,520 So let me ask you about your parents. 91 00:07:01,520 --> 00:07:05,280 What have you learned about life from them, especially when you were young? 92 00:07:05,280 --> 00:07:09,920 So both my parents, they're Egyptian, but they moved to Kuwait right out. 93 00:07:09,920 --> 00:07:11,680 Actually, there's a cute story about how they met. 94 00:07:11,680 --> 00:07:14,960 So my dad taught COBOL in the 70s. 95 00:07:14,960 --> 00:07:15,680 Nice. 96 00:07:15,680 --> 00:07:18,240 And my mom decided to learn programming. 97 00:07:18,240 --> 00:07:21,120 So she signed up to take his COBOL programming class. 98 00:07:22,400 --> 00:07:26,640 And he tried to date her and she was like, no, no, no, I don't date. 99 00:07:26,640 --> 00:07:28,240 And so he's like, okay, I'll propose. 100 00:07:28,240 --> 00:07:29,680 And that's how they got married. 101 00:07:29,680 --> 00:07:30,960 Whoa, strong move. 102 00:07:30,960 --> 00:07:32,240 Right, exactly, right. 103 00:07:32,240 --> 00:07:34,640 That's really impressive. 104 00:07:35,760 --> 00:07:38,800 Those COBOL guys know how to impress a lady. 105 00:07:40,640 --> 00:07:43,520 So yeah, so what have you learned from them? 106 00:07:43,520 --> 00:07:44,720 So definitely grit. 107 00:07:44,720 --> 00:07:47,360 One of the core values in our family is just hard work. 108 00:07:48,320 --> 00:07:50,080 There were no slackers in our family. 109 00:07:50,720 --> 00:07:54,160 And that's something that's definitely stayed with me, 110 00:07:55,920 --> 00:07:58,480 both as a professional, but also in my personal life.