1 00:00:03,800 --> 00:00:06,680 Speaker 1: Welcome to Stuff to Blow Your Mind from how Stuff 2 00:00:06,680 --> 00:00:14,040 Speaker 1: Works dot com. Hey, welcome to Stuff to Blow your Mind. 3 00:00:14,120 --> 00:00:17,239 Speaker 1: This is Robert Lamb and I'm Julie Douglas, and we 4 00:00:17,320 --> 00:00:20,239 Speaker 1: are in the week of Valentine's right now. We're just 5 00:00:20,600 --> 00:00:25,200 Speaker 1: completely amished in the Valentine's um season, with red and 6 00:00:25,239 --> 00:00:31,160 Speaker 1: pink everywhere, hideous flowers in hideously priced flowers popping up 7 00:00:31,160 --> 00:00:34,360 Speaker 1: everywhere in fact the podcast. But this is full of balloons, 8 00:00:34,400 --> 00:00:37,519 Speaker 1: red balloons. Yes, it's really annoying. Who left these here? 9 00:00:39,040 --> 00:00:44,840 Speaker 1: Tex stuff? Probably love birds. So that's the thing about Valentine's. 10 00:00:44,840 --> 00:00:48,280 Speaker 1: It brings varying connotations. Uh, you know, it's a lot 11 00:00:48,320 --> 00:00:50,440 Speaker 1: of people are really positive about it. It's a it's 12 00:00:50,479 --> 00:00:53,280 Speaker 1: a bright, happy, fun time full of love. Other people 13 00:00:53,320 --> 00:00:57,920 Speaker 1: may legitimately hate it, and uh, it's it's and so. 14 00:00:58,040 --> 00:01:00,960 Speaker 1: And then of course you have the saying about how 15 00:01:01,600 --> 00:01:04,319 Speaker 1: there's a thin line between love and hate, right, that's right, 16 00:01:04,920 --> 00:01:07,120 Speaker 1: and uh and then while I've also seen people that 17 00:01:07,160 --> 00:01:08,880 Speaker 1: get on the defensive about that, and it's like there's 18 00:01:08,880 --> 00:01:12,000 Speaker 1: no thin line, there's the enormous canyon between love and hate. 19 00:01:12,240 --> 00:01:14,640 Speaker 1: And uh, I don't know, but what do we have 20 00:01:14,720 --> 00:01:18,679 Speaker 1: some information for you. So today we're we're gonna serve 21 00:01:18,720 --> 00:01:21,040 Speaker 1: up a little bit of love, a little bit of hate, 22 00:01:21,480 --> 00:01:24,840 Speaker 1: and some robots. Yeah yeah, so if the lover hate 23 00:01:24,840 --> 00:01:27,080 Speaker 1: didn't have you, you know, stick around for the robots 24 00:01:27,760 --> 00:01:29,160 Speaker 1: or come for the love and the hate, stay for 25 00:01:29,160 --> 00:01:31,839 Speaker 1: the robot. That's right, That's what I say. That's your motto. 26 00:01:33,280 --> 00:01:35,640 Speaker 1: So there's something called lammerence. Have you heard about this before? 27 00:01:36,280 --> 00:01:39,280 Speaker 1: I actually had not heard of about this. I've I'm 28 00:01:39,319 --> 00:01:42,679 Speaker 1: not really a you know, even when Valentine's is around, 29 00:01:42,680 --> 00:01:44,240 Speaker 1: I'm not super you know, into it. So I have 30 00:01:44,319 --> 00:01:46,440 Speaker 1: to I hadn't really like read a lot about the 31 00:01:46,480 --> 00:01:50,240 Speaker 1: science of love well, and I didn't realize that that 32 00:01:50,480 --> 00:01:54,000 Speaker 1: there's a term for when you are literally love sick. Yeah, 33 00:01:54,040 --> 00:01:56,160 Speaker 1: like this is the moment, Like, you know, picture any 34 00:01:56,200 --> 00:02:00,200 Speaker 1: any movie, any romantic comedy or whatever. John Cuzak that 35 00:02:00,360 --> 00:02:04,080 Speaker 1: the boom box. Yeah, well, I'm thinking specifically, if you 36 00:02:04,080 --> 00:02:06,280 Speaker 1: know where the guy looks up and he sees the 37 00:02:06,360 --> 00:02:08,560 Speaker 1: woman of his dreams and then the music starts playing. 38 00:02:09,800 --> 00:02:14,160 Speaker 1: That works. Yeah, it's like, but what's happening is limerits right, right, 39 00:02:14,440 --> 00:02:18,400 Speaker 1: that person is connecting with a sort of near obsessive 40 00:02:18,520 --> 00:02:22,160 Speaker 1: romantic love in his or her head, and there's all 41 00:02:22,200 --> 00:02:26,800 Speaker 1: sorts of dopamine and uh VA's oppressing and all sorts 42 00:02:26,800 --> 00:02:31,040 Speaker 1: of good like oxytocin the field. Good hormones are raging. Yes, 43 00:02:31,320 --> 00:02:33,760 Speaker 1: because and and then and there the judgment part of 44 00:02:33,800 --> 00:02:36,399 Speaker 1: their brain is kind of shutting down a little bit. Right. 45 00:02:37,000 --> 00:02:39,600 Speaker 1: But but okay, so how do we know this? Well, 46 00:02:39,760 --> 00:02:42,400 Speaker 1: we can hook love birds up to an m r I, Right, 47 00:02:42,440 --> 00:02:45,280 Speaker 1: I mean, what else should we do but hook love 48 00:02:45,360 --> 00:02:49,120 Speaker 1: birds up what's going on in that love sick head 49 00:02:49,160 --> 00:02:51,639 Speaker 1: of their all? Right, So you know that the cool 50 00:02:51,680 --> 00:02:53,120 Speaker 1: thing about the fm R I is that it can 51 00:02:53,320 --> 00:02:56,760 Speaker 1: measure basically the blood flow to certain regions of the brain. Right. 52 00:02:56,919 --> 00:03:00,040 Speaker 1: And when we look at at the images off and 53 00:03:00,080 --> 00:03:02,560 Speaker 1: you'll see like bright colors and all. And that's just 54 00:03:02,639 --> 00:03:06,079 Speaker 1: marking where where blood is moving around and where neural 55 00:03:06,120 --> 00:03:08,799 Speaker 1: activity is taking place. Right. So, someone, so if someone's 56 00:03:08,840 --> 00:03:11,080 Speaker 1: eating chocolate, or they're playing pac Man, or they just 57 00:03:11,639 --> 00:03:13,920 Speaker 1: they want a lot of money, or they're in love, 58 00:03:14,040 --> 00:03:15,920 Speaker 1: we see the reward center of their brains start to 59 00:03:16,000 --> 00:03:18,720 Speaker 1: light up like a pinball machine. Yeah, So that's how 60 00:03:18,760 --> 00:03:23,320 Speaker 1: we know when you're in limerince that do doesn't sound sexy. 61 00:03:23,320 --> 00:03:27,160 Speaker 1: It doesn't I'm in Limerince Happy Limrince day. Yeah, it 62 00:03:27,240 --> 00:03:31,239 Speaker 1: doesn't work. So the thing I thought was really interesting 63 00:03:31,240 --> 00:03:34,480 Speaker 1: about this too is that um, according to an author 64 00:03:35,280 --> 00:03:39,000 Speaker 1: of Anatomy of Love, Dr Helen Fisher, that when you 65 00:03:39,120 --> 00:03:45,000 Speaker 1: are going through these changes, the reason I would yeah 66 00:03:45,240 --> 00:03:49,360 Speaker 1: the love doctor, the limerence doctor, Dr Helen Fisher. Um. 67 00:03:49,440 --> 00:03:52,960 Speaker 1: She basically says that when you're heartbroken, hormones hormones can 68 00:03:53,040 --> 00:03:56,480 Speaker 1: change again and you get another dopamine boasts boost. Excuse me, 69 00:03:56,640 --> 00:03:58,120 Speaker 1: so you know when you first fall in love and 70 00:03:58,120 --> 00:04:01,680 Speaker 1: you get that dopamine boost, um, do you sometimes you know, 71 00:04:02,000 --> 00:04:03,720 Speaker 1: for some people who have experienced this sport, do you 72 00:04:03,760 --> 00:04:06,080 Speaker 1: sometimes have a hard time eating? You're not really hungry. 73 00:04:06,520 --> 00:04:10,760 Speaker 1: That's the hormones changing. So the same thing occurs when 74 00:04:10,840 --> 00:04:14,760 Speaker 1: you have a breakup or heartache, that that dopamine boost 75 00:04:14,800 --> 00:04:16,800 Speaker 1: is happening again and you don't feel like eating. So 76 00:04:16,839 --> 00:04:18,240 Speaker 1: you could have like one person would be like, oh, 77 00:04:18,279 --> 00:04:19,920 Speaker 1: I'm so in love, I forgot to eat lunch today, 78 00:04:19,960 --> 00:04:22,680 Speaker 1: and the other person's like, like, my girlfriend just broke 79 00:04:22,760 --> 00:04:24,480 Speaker 1: up with me, I forgot to eat lunch to day. Yeah, 80 00:04:24,680 --> 00:04:27,599 Speaker 1: that's the same thing going on, right right, in the 81 00:04:27,600 --> 00:04:32,359 Speaker 1: break room right now. So you had talked about the 82 00:04:32,400 --> 00:04:34,920 Speaker 1: thin line between love and hate. Yeah, there's an interesting 83 00:04:34,920 --> 00:04:38,960 Speaker 1: study from the University College London where they actually you 84 00:04:38,960 --> 00:04:41,200 Speaker 1: actually had this one researcher, I believe his name was. 85 00:04:42,480 --> 00:04:46,080 Speaker 1: It is Sameer Zeki, smeer Zeki. So Zeke has has 86 00:04:46,200 --> 00:04:49,000 Speaker 1: co workers, colleagues, and he's pretty sure that one of 87 00:04:49,040 --> 00:04:51,800 Speaker 1: them hates him. Right, Yeah, He's like, this dude just 88 00:04:51,920 --> 00:04:54,200 Speaker 1: hates me. What's going on? He seems to just hate me? 89 00:04:54,480 --> 00:04:56,560 Speaker 1: And then he starts looking into a little moment. He's like, like, 90 00:04:56,600 --> 00:04:58,960 Speaker 1: you know, and I think we've all had this with 91 00:04:58,960 --> 00:05:02,120 Speaker 1: with various people. We like, I think this guy hates everybody. Right, 92 00:05:02,120 --> 00:05:04,960 Speaker 1: he realizes it's not just him, Like, this guy's irrational, 93 00:05:05,240 --> 00:05:07,600 Speaker 1: this guy is miserable, and he's done everything he Kenny's 94 00:05:07,600 --> 00:05:09,600 Speaker 1: tried to befriend, this guy has been nice to him, 95 00:05:09,600 --> 00:05:14,200 Speaker 1: he's whatever, and this this guy still has hatred toward him. 96 00:05:14,279 --> 00:05:16,960 Speaker 1: But being a scientist, the the answer is, let's scan it. 97 00:05:17,040 --> 00:05:19,400 Speaker 1: Let's figure out what's going on. Yes, let's nail this down. 98 00:05:19,640 --> 00:05:21,840 Speaker 1: Let's figure out this hate thing. And the interesting thing 99 00:05:21,839 --> 00:05:25,720 Speaker 1: about this is that um sameer Ziki and Andrea's Bartol's 100 00:05:26,080 --> 00:05:29,960 Speaker 1: they conducted a previous study about love UM and they 101 00:05:30,000 --> 00:05:32,120 Speaker 1: used f M R I of course, and they scanned 102 00:05:32,200 --> 00:05:35,239 Speaker 1: the brains the seventeen volunteers who described themselves as truly 103 00:05:35,400 --> 00:05:38,800 Speaker 1: and madly in love. And so during the scans, each 104 00:05:38,800 --> 00:05:41,599 Speaker 1: of them was shown pictures of their loved ones and 105 00:05:41,640 --> 00:05:44,600 Speaker 1: then other pictures of neutral people. And so that's how 106 00:05:44,640 --> 00:05:46,760 Speaker 1: they could figure out that this part of the brain 107 00:05:47,480 --> 00:05:51,840 Speaker 1: lights up when someone is in love, right, So that 108 00:05:52,000 --> 00:05:55,200 Speaker 1: is that that was sort of the the impetus for 109 00:05:55,320 --> 00:05:58,360 Speaker 1: Zeki saying, okay, we know where love is, let's find 110 00:05:58,360 --> 00:06:00,720 Speaker 1: out about this hate and why my colleague hates. So yeah, 111 00:06:00,720 --> 00:06:03,720 Speaker 1: so they they they ended up doing the same thing 112 00:06:03,760 --> 00:06:06,760 Speaker 1: with with with some other test subjects where they they 113 00:06:06,800 --> 00:06:09,320 Speaker 1: showed them pictures of people they hate it right, And 114 00:06:09,440 --> 00:06:11,960 Speaker 1: what they found was that the all right, when when 115 00:06:12,000 --> 00:06:14,400 Speaker 1: someone when you're doing the love experiment, like people would 116 00:06:14,400 --> 00:06:16,520 Speaker 1: see someone they love and the love circuit with one 117 00:06:16,680 --> 00:06:20,080 Speaker 1: light up the terminology and um that they were using 118 00:06:20,240 --> 00:06:23,279 Speaker 1: the circuit. And then but then in this other experiment, 119 00:06:23,320 --> 00:06:25,520 Speaker 1: people would see someone they hate, the hate circuit would 120 00:06:25,680 --> 00:06:27,520 Speaker 1: would light up. But the hate circuit in the love 121 00:06:27,600 --> 00:06:31,839 Speaker 1: circuit the same area, right, so the same neural circuit. Yeah, 122 00:06:32,040 --> 00:06:34,720 Speaker 1: so I'm on one level there you go. I mean 123 00:06:34,720 --> 00:06:37,000 Speaker 1: that's the love and hate are are sharing some of 124 00:06:37,000 --> 00:06:40,160 Speaker 1: the same neural architecture, right, And it turns out that 125 00:06:40,200 --> 00:06:42,800 Speaker 1: these are two specific brain regions, right, it's the putaman 126 00:06:43,480 --> 00:06:46,640 Speaker 1: and the insular cortex. Yeah. The putaman is used to 127 00:06:46,760 --> 00:06:49,560 Speaker 1: prepare the body for movements. So to put it in 128 00:06:49,640 --> 00:06:53,040 Speaker 1: like real caveman terms, it would be like, oh, there's 129 00:06:53,040 --> 00:06:56,279 Speaker 1: a pretty girl, I'll go get her, and then the 130 00:06:56,279 --> 00:06:58,359 Speaker 1: other one is there's my enemy, I will go clube. 131 00:06:58,360 --> 00:07:00,360 Speaker 1: I guess you might have the caveman would stare typically 132 00:07:00,360 --> 00:07:03,200 Speaker 1: club either, right, he would just there would be more 133 00:07:03,200 --> 00:07:06,800 Speaker 1: bludgeoning involved with the enemy and more of a loving 134 00:07:07,279 --> 00:07:10,240 Speaker 1: a love tap with the cudgel on the head of 135 00:07:10,280 --> 00:07:15,880 Speaker 1: the intended naming right exactly hopefully, and then the and 136 00:07:15,880 --> 00:07:17,560 Speaker 1: then of course you could also say that this is 137 00:07:17,600 --> 00:07:19,960 Speaker 1: also like oh you would you would run to the 138 00:07:19,960 --> 00:07:22,160 Speaker 1: pudman is saying, who I love that person, I'm going 139 00:07:22,200 --> 00:07:24,520 Speaker 1: to run to help them and keep them from falling 140 00:07:24,560 --> 00:07:27,840 Speaker 1: off that cliff, whereas with the enemy would be like 141 00:07:27,840 --> 00:07:29,840 Speaker 1: like always totally teetering on the edge of that Cliff, 142 00:07:29,880 --> 00:07:33,040 Speaker 1: I better give him a good kick. So that's the pudman. 143 00:07:33,200 --> 00:07:36,080 Speaker 1: And then there's again the insula, which is associated with 144 00:07:36,120 --> 00:07:40,320 Speaker 1: feelings of distress and jealousy. Right again, that would for 145 00:07:40,360 --> 00:07:43,000 Speaker 1: both situations, right right, Yeah, it's like, oh that dude 146 00:07:43,040 --> 00:07:46,000 Speaker 1: so successful, I hate him? Or uh you know, or 147 00:07:47,480 --> 00:07:50,240 Speaker 1: yeah I'm jealous. Yeah, do you love pac Man more 148 00:07:50,280 --> 00:07:52,600 Speaker 1: than me? Why are you playing it so much? You know? 149 00:07:52,800 --> 00:07:54,400 Speaker 1: The thing I think is really interesting about the study 150 00:07:54,440 --> 00:07:57,160 Speaker 1: is that Zeke was kind of disappointing because he thought 151 00:07:57,280 --> 00:08:02,760 Speaker 1: that the that the prefrontal cortex, where the seat of 152 00:08:02,840 --> 00:08:05,840 Speaker 1: judgment is and reasoning, he thought that that was going 153 00:08:05,880 --> 00:08:09,320 Speaker 1: to be deactivated a bit like it is with love 154 00:08:09,440 --> 00:08:12,120 Speaker 1: and hate. And his idea was that, you know, if 155 00:08:12,120 --> 00:08:17,440 Speaker 1: it's an irrational hatred, therefore you know someone's uh faculties 156 00:08:17,480 --> 00:08:19,960 Speaker 1: should be a little bit dimmed. Right, But it's the reverse, 157 00:08:20,000 --> 00:08:21,440 Speaker 1: I mean, were not the reverse. But it's more a 158 00:08:21,440 --> 00:08:24,239 Speaker 1: situation where when you're when you're in love, the judgment 159 00:08:24,640 --> 00:08:28,720 Speaker 1: falls off. But love is love is blind right when 160 00:08:28,720 --> 00:08:32,000 Speaker 1: you're in love, right, because you're you're reasoning dems. But 161 00:08:32,160 --> 00:08:34,520 Speaker 1: right when when you're hating, apparently you still have the 162 00:08:34,559 --> 00:08:38,920 Speaker 1: ability to think analytically, and of course his idea is like, Okay, 163 00:08:38,920 --> 00:08:41,880 Speaker 1: well that means that maybe because the pudamin is also 164 00:08:42,600 --> 00:08:45,680 Speaker 1: um in action here, that the two would would allow 165 00:08:45,720 --> 00:08:48,280 Speaker 1: someone to attack another person. Yeah, essentially. Yeah, I mean 166 00:08:48,320 --> 00:08:49,839 Speaker 1: it's kind of like if you see, if there's somebody 167 00:08:50,000 --> 00:08:52,199 Speaker 1: like or even love and they have kind of goofy hair, 168 00:08:52,280 --> 00:08:54,360 Speaker 1: you're probably gonna let it go or not think about it, right, 169 00:08:54,559 --> 00:08:57,000 Speaker 1: but if you red flag, Yeah, I mean, goofy hair 170 00:08:57,040 --> 00:08:59,000 Speaker 1: is fun. But if you hate somebody and they have 171 00:08:59,000 --> 00:09:01,640 Speaker 1: goofy hair, you'd be like, you look at his hair 172 00:09:02,480 --> 00:09:07,000 Speaker 1: con Brian every night. So I don't hate him. I 173 00:09:07,160 --> 00:09:10,520 Speaker 1: actually like him quite a bit. Um So Yeah, So 174 00:09:10,559 --> 00:09:13,520 Speaker 1: that that's kind of covers that whole like thin line 175 00:09:13,520 --> 00:09:16,840 Speaker 1: between love and hate. Definitely got the same circuits going 176 00:09:16,920 --> 00:09:20,560 Speaker 1: on there. And then there's this other question that's recently 177 00:09:20,600 --> 00:09:23,880 Speaker 1: cropped up, and it's that can you really fall in 178 00:09:23,960 --> 00:09:26,079 Speaker 1: love and a fifth of a second love at first sight? 179 00:09:26,200 --> 00:09:28,880 Speaker 1: Right right staring out in the crowd, seeing the woman 180 00:09:29,000 --> 00:09:30,920 Speaker 1: or man of your dreams standing over there, and just 181 00:09:31,760 --> 00:09:36,920 Speaker 1: and then you know, the music off string quartet rises. 182 00:09:37,200 --> 00:09:42,160 Speaker 1: There's a study by Syracuse University professor Sephanie ortigue, and 183 00:09:42,640 --> 00:09:45,600 Speaker 1: she determined that falling in love has the same eufork 184 00:09:45,840 --> 00:09:49,240 Speaker 1: feeling as using cocaine, but also that affects intellectual areas 185 00:09:49,240 --> 00:09:51,880 Speaker 1: of the brain, which is interesting. It is essentially running 186 00:09:51,920 --> 00:09:56,000 Speaker 1: more blood to those areas dealing with mental representations, metaphors, 187 00:09:56,080 --> 00:09:58,960 Speaker 1: and body image, and that it can also take less 188 00:09:58,960 --> 00:10:01,280 Speaker 1: than a fifth of a second love. Now, let let 189 00:10:01,360 --> 00:10:03,280 Speaker 1: me break down the cocaine thing for a second. For 190 00:10:03,880 --> 00:10:05,880 Speaker 1: anyone to get down, I will break it down. And 191 00:10:06,000 --> 00:10:08,320 Speaker 1: I got that. I grabbed this data from from our 192 00:10:08,400 --> 00:10:12,120 Speaker 1: excellent article by Stephanie Watson on how stuff works called 193 00:10:12,200 --> 00:10:16,000 Speaker 1: how crack Cocaine works. All right, crack cocaine you smoke, 194 00:10:16,280 --> 00:10:19,840 Speaker 1: so it gives the brain much faster than inhaled powder cocaine. 195 00:10:20,120 --> 00:10:23,280 Speaker 1: All right, So crack cocaine gets the brain and creates 196 00:10:23,280 --> 00:10:27,240 Speaker 1: a high within ten to fifteen seconds. Normal cocaine is 197 00:10:27,440 --> 00:10:31,080 Speaker 1: ten to fifteen minutes um. And then the effects can 198 00:10:31,160 --> 00:10:34,560 Speaker 1: last anywhere from five to fifteen minutes. And then you 199 00:10:34,600 --> 00:10:37,000 Speaker 1: have to do more cocaine because it you know, it 200 00:10:37,200 --> 00:10:41,360 Speaker 1: kind of sucks. So don't do drugs. Do more love, Yeah, 201 00:10:41,440 --> 00:10:44,240 Speaker 1: because love is We're gonna explore, like you fall in 202 00:10:44,280 --> 00:10:47,920 Speaker 1: love like that stuff's gonna last fifteen months at least, 203 00:10:48,000 --> 00:10:51,920 Speaker 1: you know, cocaine fifteen minutes and then you know, it's 204 00:10:52,040 --> 00:10:55,200 Speaker 1: just that's exactly right. That's that's the whole limbrance is 205 00:10:55,200 --> 00:10:57,640 Speaker 1: what the shelf life is fifteen months for limrance kind 206 00:10:57,640 --> 00:10:59,520 Speaker 1: of love. Yeah, love in one hand cocaine and the 207 00:10:59,559 --> 00:11:02,440 Speaker 1: other one you're just going to do you for for 208 00:11:02,480 --> 00:11:05,080 Speaker 1: several months either you're just gonna be keeping doing cocaine 209 00:11:05,080 --> 00:11:07,760 Speaker 1: over and over again. So I think love is the 210 00:11:07,760 --> 00:11:10,600 Speaker 1: obvious winner here. Yeah, they really need to rethink their 211 00:11:10,600 --> 00:11:13,160 Speaker 1: p s a s for for anti drug commercial saying 212 00:11:13,200 --> 00:11:16,880 Speaker 1: like they need to rethink the cocaine ad campaign that 213 00:11:16,920 --> 00:11:20,920 Speaker 1: they're not really getting it out. Yeah, those cocaine marketing 214 00:11:20,920 --> 00:11:24,440 Speaker 1: people are really asleep at the wheel. Um. But that 215 00:11:24,559 --> 00:11:27,120 Speaker 1: study is interesting because it really does sort of indicate 216 00:11:27,200 --> 00:11:30,000 Speaker 1: that it's the that the sort of passionate love is 217 00:11:30,000 --> 00:11:33,160 Speaker 1: is again it's centered in the reward center, whereas like 218 00:11:33,160 --> 00:11:37,000 Speaker 1: an eternal love for more long term love is found 219 00:11:37,040 --> 00:11:40,840 Speaker 1: in the middle brain and supposedly like a mother for 220 00:11:40,880 --> 00:11:44,480 Speaker 1: a child or or you know, or a child for 221 00:11:44,600 --> 00:11:47,160 Speaker 1: a parent, right, yeah, or a copy I love to us, 222 00:11:47,200 --> 00:11:50,600 Speaker 1: And that's sort of like a hasn't there's a different 223 00:11:50,600 --> 00:11:53,520 Speaker 1: types of love that's like a like a church thing, 224 00:11:53,600 --> 00:11:56,520 Speaker 1: right where I've seen I've seen church programs that are Yeah, 225 00:11:56,559 --> 00:11:58,880 Speaker 1: there's some there. I think there are some that use 226 00:11:59,320 --> 00:12:01,800 Speaker 1: that term. But I think it's one of like five 227 00:12:01,840 --> 00:12:04,839 Speaker 1: different kinds of groovy loves you can have. Anytime I 228 00:12:05,040 --> 00:12:07,040 Speaker 1: year a gup a love or at likes used to 229 00:12:07,120 --> 00:12:09,199 Speaker 1: I would I would think of Guppy's in love, you know, 230 00:12:09,360 --> 00:12:13,080 Speaker 1: so I think a little a little like you know, 231 00:12:13,240 --> 00:12:17,679 Speaker 1: Salamander has creatures falling in love, guffies in love. All right, 232 00:12:23,800 --> 00:12:27,319 Speaker 1: This presentation is brought to you by Intel Sponsors of Tomorrow. 233 00:12:31,920 --> 00:12:34,160 Speaker 1: But supposedly they're supposed to have a follow up study 234 00:12:34,160 --> 00:12:36,000 Speaker 1: about the fifth of a second thing because that's sort 235 00:12:36,040 --> 00:12:38,400 Speaker 1: of interesting, like you know, fifth of a second you 236 00:12:38,400 --> 00:12:41,000 Speaker 1: can uh, you know, how do how do they know? 237 00:12:41,080 --> 00:12:44,040 Speaker 1: Because that's the specifics weren't necessarily available. Well, I guess 238 00:12:44,200 --> 00:12:46,240 Speaker 1: you'd have to hook machinery up to like the kind 239 00:12:46,240 --> 00:12:48,079 Speaker 1: of person who just falls in and out of love 240 00:12:48,120 --> 00:12:49,520 Speaker 1: a lot, like you know, kind of like a Don 241 00:12:49,600 --> 00:12:52,200 Speaker 1: Draper for Madman type, you know. Yeah, okay, so they 242 00:12:52,200 --> 00:12:55,680 Speaker 1: had to have like a high limbrance yeah quality well 243 00:12:56,080 --> 00:12:58,600 Speaker 1: or or at least I'm not sure how it would 244 00:12:58,640 --> 00:13:00,880 Speaker 1: be the kind of person who would can suitably fall 245 00:13:00,920 --> 00:13:03,440 Speaker 1: in love and fall in love because because if you 246 00:13:03,480 --> 00:13:06,160 Speaker 1: have high limeriance, aren't you more inclined to fall in 247 00:13:06,200 --> 00:13:08,640 Speaker 1: love like once and stay in love? For saying DeAndre 248 00:13:08,720 --> 00:13:12,120 Speaker 1: for shouldn't we just say lust? Yeah? Okay, he's become 249 00:13:12,200 --> 00:13:17,880 Speaker 1: the icon of stupid man lust yeah yeah yeah, And 250 00:13:18,160 --> 00:13:20,360 Speaker 1: you know a couple of ladies have I think perhaps 251 00:13:20,440 --> 00:13:23,520 Speaker 1: listed after him. Um. But then that brings me to 252 00:13:23,920 --> 00:13:25,800 Speaker 1: the question about whether or not we could actually have 253 00:13:25,880 --> 00:13:34,480 Speaker 1: like a true love, true love, true love like no, yeah, yeah, 254 00:13:34,559 --> 00:13:38,840 Speaker 1: like I don't know, like a completely um unmitigated love. 255 00:13:39,000 --> 00:13:43,360 Speaker 1: Could you have that limbrince your entire life? Right if 256 00:13:43,360 --> 00:13:45,920 Speaker 1: it weren't a lust limerence, if it was a pure love. 257 00:13:46,360 --> 00:13:50,480 Speaker 1: So previous research has laid out the fracture points in 258 00:13:50,480 --> 00:13:53,080 Speaker 1: a relationship to be twelve to fifteen months, So BEINGO, 259 00:13:53,200 --> 00:13:57,320 Speaker 1: there's there's your you're saying like love can in many 260 00:13:57,360 --> 00:13:59,800 Speaker 1: studies last fifteen months, right, and then you've got three 261 00:14:00,120 --> 00:14:03,360 Speaker 1: is another sort of breaking point. And then the seven 262 00:14:03,400 --> 00:14:06,400 Speaker 1: year itch that we've all heard about. And I think 263 00:14:06,480 --> 00:14:08,920 Speaker 1: one thing that or at least my take on this 264 00:14:08,960 --> 00:14:11,360 Speaker 1: is that when when you're saying love ends after fifteen months, 265 00:14:11,360 --> 00:14:14,080 Speaker 1: we're not saying like, oh what am I doing here? 266 00:14:14,120 --> 00:14:15,880 Speaker 1: It's like waking up for a dream and realizing you're 267 00:14:16,040 --> 00:14:19,160 Speaker 1: you're in this life you want. You know, it's this 268 00:14:19,160 --> 00:14:22,320 Speaker 1: this chemical thing that maybe it definitely becomes something else. 269 00:14:22,480 --> 00:14:25,600 Speaker 1: You know, well, yeah, you're the chemical sort of calibrate 270 00:14:25,600 --> 00:14:28,760 Speaker 1: and they'd have to write, I suppose, yeah. I think 271 00:14:28,760 --> 00:14:30,920 Speaker 1: it's like, it's pretty obvious. This is we're kind of 272 00:14:31,440 --> 00:14:34,720 Speaker 1: stating an obvious fact here, But love really powerful. Oh 273 00:14:34,800 --> 00:14:37,160 Speaker 1: I just fell in love that that tends to calm 274 00:14:37,200 --> 00:14:39,480 Speaker 1: down and become something more mature over time, right, Like, 275 00:14:39,520 --> 00:14:42,680 Speaker 1: can you imagine having that horrible, obsessive teenager e kind 276 00:14:42,680 --> 00:14:49,000 Speaker 1: of love applied in your adult relationships? Because because general, 277 00:14:49,080 --> 00:14:51,720 Speaker 1: you know, love is great, and I love it when 278 00:14:51,760 --> 00:14:54,480 Speaker 1: my friends are in love. But but man, it's kind 279 00:14:54,480 --> 00:14:56,160 Speaker 1: of tough to be around them if they're they've only 280 00:14:56,200 --> 00:14:57,960 Speaker 1: like if they're you know, they've only been in love 281 00:14:58,000 --> 00:15:00,240 Speaker 1: with somebody for like, you know, a month or so, yeah, 282 00:15:00,320 --> 00:15:02,480 Speaker 1: and they're like, wow, you guys really are not over 283 00:15:02,480 --> 00:15:05,600 Speaker 1: this yet. Just like take it down a notch. Wow, 284 00:15:05,640 --> 00:15:09,160 Speaker 1: you really drove past the house like fifty times again 285 00:15:09,600 --> 00:15:13,880 Speaker 1: this evening making out of my living room. What's going on? Stop? Yeah? Yeah? 286 00:15:14,720 --> 00:15:19,280 Speaker 1: Um So, researchers from Stony Brook, you in New York, 287 00:15:19,280 --> 00:15:23,280 Speaker 1: compared the longtime couple's brains a group of longtime couple 288 00:15:23,320 --> 00:15:26,880 Speaker 1: springs to newly minted in love couples, and they found 289 00:15:26,880 --> 00:15:29,360 Speaker 1: that one in ten of the long time couples there 290 00:15:29,360 --> 00:15:32,800 Speaker 1: were twenty of them exhibited the same chemical reactions when 291 00:15:32,840 --> 00:15:36,320 Speaker 1: shown photographs of their loved ones as people commonly do 292 00:15:36,400 --> 00:15:38,800 Speaker 1: in the early stages of relationship. This limitans that we're 293 00:15:38,840 --> 00:15:41,280 Speaker 1: talking about. They're kind of super lovers. They call them 294 00:15:41,320 --> 00:15:45,400 Speaker 1: swans because they meet for life. Right. Yeah, So it's 295 00:15:45,400 --> 00:15:49,000 Speaker 1: it's interesting because, um again you've got that the fading 296 00:15:49,040 --> 00:15:53,400 Speaker 1: point fifteen months um in the testosterone levels actually fade 297 00:15:53,960 --> 00:15:56,920 Speaker 1: as the Hornburger limit. I think, no kidding, my goodness, 298 00:15:57,120 --> 00:16:03,080 Speaker 1: yeah yeah, I just blushed and I have no idea why. Um, 299 00:16:03,160 --> 00:16:05,440 Speaker 1: but their testotering levels are fading back to normal, right, 300 00:16:05,640 --> 00:16:08,520 Speaker 1: and they still have like those shots of oxytocin um 301 00:16:08,560 --> 00:16:11,400 Speaker 1: to create a feeling of attachment, because that's that's really 302 00:16:11,440 --> 00:16:13,720 Speaker 1: what this spoils down to. But they don't have the 303 00:16:13,760 --> 00:16:16,720 Speaker 1: wild love. So the feelings of obsession in theory, they 304 00:16:16,720 --> 00:16:20,360 Speaker 1: shouldn't survive, right, they shouldn't be these couples shouldn't be 305 00:16:20,360 --> 00:16:23,400 Speaker 1: having the same sort of reaction, chemical reaction as he's 306 00:16:23,480 --> 00:16:26,040 Speaker 1: untually minted. It's kind of like if you're going to 307 00:16:26,160 --> 00:16:28,360 Speaker 1: perform surgery on somebody you want, you know, you may 308 00:16:28,480 --> 00:16:31,320 Speaker 1: numb them up or not surgery. Let's say a dental procedure. 309 00:16:31,640 --> 00:16:34,720 Speaker 1: You may numb them up to perform this quick, fairly, 310 00:16:35,040 --> 00:16:36,920 Speaker 1: you know, simple procedure. But then you want that numbness 311 00:16:36,960 --> 00:16:39,320 Speaker 1: to wear off so they can feeling again and actually 312 00:16:39,400 --> 00:16:43,040 Speaker 1: use their mouth like a normal person. But uh, but 313 00:16:43,080 --> 00:16:45,160 Speaker 1: it's but it's like the when the love lingers, when 314 00:16:45,160 --> 00:16:47,880 Speaker 1: the limericks remain so intense for so long, it's like, 315 00:16:48,320 --> 00:16:50,440 Speaker 1: to a certain extence, kind of outlived its usefulness. Like 316 00:16:50,480 --> 00:16:53,680 Speaker 1: it's more about like, let's let's get this, uh, let's 317 00:16:53,680 --> 00:16:56,400 Speaker 1: get this relationship started. Let's go let's get everything sealed 318 00:16:56,440 --> 00:16:58,360 Speaker 1: up and ready. It's like, you know, let's hire a 319 00:16:58,440 --> 00:17:01,160 Speaker 1: hundred guys to start building this this this house, and 320 00:17:01,160 --> 00:17:03,040 Speaker 1: then we'll split the work crew down to fifty to 321 00:17:03,160 --> 00:17:05,960 Speaker 1: get the real work done, right, right, So, but then 322 00:17:06,119 --> 00:17:09,000 Speaker 1: the researchers were kind of like, well, so, what why 323 00:17:09,080 --> 00:17:11,879 Speaker 1: is it that they have this chemical reaction? And and 324 00:17:11,920 --> 00:17:15,040 Speaker 1: they're not like sitting here like frenching on the waiting 325 00:17:15,320 --> 00:17:17,719 Speaker 1: room couch as we're doing this study, Like why are they? 326 00:17:18,359 --> 00:17:21,000 Speaker 1: You know, they they seem to be these longtime couples 327 00:17:21,240 --> 00:17:23,119 Speaker 1: and love with each other, but they're not like this 328 00:17:23,200 --> 00:17:25,000 Speaker 1: other group that's they're all french ing on the couch. 329 00:17:25,119 --> 00:17:26,480 Speaker 1: But I just made all that up. But you know 330 00:17:26,480 --> 00:17:28,800 Speaker 1: what I'm saying, they're trying to figure out why why 331 00:17:28,840 --> 00:17:31,320 Speaker 1: their brains are reacting this way. So it's kind of 332 00:17:31,359 --> 00:17:33,520 Speaker 1: like it's the difference between saying like a really old 333 00:17:33,520 --> 00:17:36,200 Speaker 1: couple and that they're still in love and going ah, 334 00:17:36,240 --> 00:17:37,680 Speaker 1: and then a really old couple that was still in 335 00:17:37,720 --> 00:17:42,120 Speaker 1: love and going yeah, yeah, exactly exactly. And so they 336 00:17:42,200 --> 00:17:44,760 Speaker 1: said in there, in sort of I think clinical terms, 337 00:17:44,960 --> 00:17:47,280 Speaker 1: they said that that sort of romantic love was able 338 00:17:47,359 --> 00:17:52,919 Speaker 1: to mature into intensive companionship and sexual liveliness. So the 339 00:17:52,960 --> 00:17:56,080 Speaker 1: Swans they could control themselves. I suppose that's that's the 340 00:17:56,119 --> 00:18:00,639 Speaker 1: mature part of it. Yeah, I hope. Yeah, they're not 341 00:18:00,680 --> 00:18:03,840 Speaker 1: just completely out of control out there. Okay, I'm imagining 342 00:18:03,840 --> 00:18:06,640 Speaker 1: that they're not their brains are still letting up because 343 00:18:06,640 --> 00:18:09,480 Speaker 1: they truly and madly still love each other. The the 344 00:18:09,560 --> 00:18:12,680 Speaker 1: key here, I'm guessing is that Swans need to find Swans, 345 00:18:13,960 --> 00:18:15,359 Speaker 1: and and that would seem to like, how do you 346 00:18:15,400 --> 00:18:17,400 Speaker 1: do You can't really like put put that out there 347 00:18:17,400 --> 00:18:19,280 Speaker 1: and be like, I'm a person that will you know, 348 00:18:19,320 --> 00:18:20,800 Speaker 1: fall in love with you and stay in love with 349 00:18:20,840 --> 00:18:22,760 Speaker 1: you forever. I just need somebody else who's exactly the 350 00:18:22,800 --> 00:18:24,359 Speaker 1: same as me, because it seems like you're going to 351 00:18:24,400 --> 00:18:26,480 Speaker 1: get a lot of people who are just just like, 352 00:18:26,520 --> 00:18:28,000 Speaker 1: oh that sounds who doesn't want to fall in love 353 00:18:28,000 --> 00:18:30,320 Speaker 1: with somebody who's gonna love you back forever and be 354 00:18:30,400 --> 00:18:32,639 Speaker 1: like powerfully in love with you, you you know? Is this 355 00:18:32,680 --> 00:18:36,040 Speaker 1: your your dating website idea? Yeah, Like if the Swans 356 00:18:36,080 --> 00:18:37,760 Speaker 1: had their own dating site, is that I feel like 357 00:18:37,760 --> 00:18:41,320 Speaker 1: people would abuse that. Yeah, they would. They would claim 358 00:18:41,359 --> 00:18:43,440 Speaker 1: to be a Swan and not be a Swan unless 359 00:18:43,480 --> 00:18:46,600 Speaker 1: the thing is that you had mandatory like brain scans, 360 00:18:47,440 --> 00:18:49,240 Speaker 1: because I believe that actually, to go back to the 361 00:18:49,680 --> 00:18:53,440 Speaker 1: hate Circuit researcher, that was one of the possible uses 362 00:18:53,440 --> 00:18:55,760 Speaker 1: they were talking about. It's like being able to have 363 00:18:55,880 --> 00:18:59,280 Speaker 1: the the evidence admissible in court so that it's like, hey, 364 00:18:59,320 --> 00:19:02,280 Speaker 1: I think so and so murdered. Uh, um, Dave here 365 00:19:02,320 --> 00:19:04,840 Speaker 1: because uh he hates him. Let's test him and cev 366 00:19:04,840 --> 00:19:07,160 Speaker 1: he hates and show him a picture. Oh red light 367 00:19:07,200 --> 00:19:09,280 Speaker 1: lit up. That means he hates it and that he 368 00:19:09,320 --> 00:19:11,760 Speaker 1: totally hates him. I like this idea. It's like a 369 00:19:11,920 --> 00:19:14,840 Speaker 1: like a photo booth for love, right, except for you're 370 00:19:14,840 --> 00:19:17,760 Speaker 1: getting your brain scanned. Yeah, well, kind of like they 371 00:19:17,760 --> 00:19:20,800 Speaker 1: all like they have those uh those old contraptions where 372 00:19:20,800 --> 00:19:23,360 Speaker 1: you like the love tester where you like squeeze a 373 00:19:23,520 --> 00:19:25,879 Speaker 1: joystick and then it lights up to show how how 374 00:19:25,920 --> 00:19:28,159 Speaker 1: much you love. It would be kind of having like 375 00:19:28,240 --> 00:19:31,719 Speaker 1: having a scientifically accurate one of those. And then every 376 00:19:31,760 --> 00:19:33,800 Speaker 1: little like you're getting people getting a fight with their 377 00:19:33,800 --> 00:19:35,720 Speaker 1: spouse or something and they're like, do you still love me? 378 00:19:35,960 --> 00:19:37,880 Speaker 1: And it was like, yeah, of course, prove it. We're 379 00:19:37,880 --> 00:19:41,800 Speaker 1: going down to these shownees where they have that love 380 00:19:42,359 --> 00:19:45,080 Speaker 1: love tester up and we're gonna we're gonna test this. Yeah, 381 00:19:45,240 --> 00:19:47,040 Speaker 1: and think about I mean, Larry King could have really 382 00:19:47,600 --> 00:19:50,480 Speaker 1: you've been helped out by this. I think, Yeah, I'm 383 00:19:50,480 --> 00:19:53,160 Speaker 1: not up enough of my Larry King lore. Oh he's 384 00:19:53,200 --> 00:19:56,280 Speaker 1: he's sort of like the Elizabeth Taylor of the world. Yeah, 385 00:19:56,320 --> 00:19:58,000 Speaker 1: he just keeps getting married and married over again. But 386 00:19:58,040 --> 00:20:00,840 Speaker 1: maybe it doesn't Maybe he's not really he doesn't care 387 00:20:00,880 --> 00:20:04,440 Speaker 1: about that that reward center lighting up in his partner's brain. Okay, 388 00:20:04,560 --> 00:20:07,240 Speaker 1: so you thinking it would have this technology would have 389 00:20:07,280 --> 00:20:10,800 Speaker 1: helped Larry King find merited out a true mate for him? 390 00:20:10,960 --> 00:20:12,240 Speaker 1: Or is it? Or is the reverse? I mean, I 391 00:20:12,280 --> 00:20:14,040 Speaker 1: don't know enough about him. Is it a situation where 392 00:20:14,200 --> 00:20:17,080 Speaker 1: the rest of the world needed this device to protect 393 00:20:17,160 --> 00:20:22,560 Speaker 1: them from Larry King? That may very well be actually 394 00:20:22,680 --> 00:20:26,679 Speaker 1: the answer right there. Um. Yeah, so I like that. 395 00:20:26,840 --> 00:20:29,080 Speaker 1: I'm liking this idea of the sort of photo booth 396 00:20:29,880 --> 00:20:32,320 Speaker 1: scan that couples can just duck into and then they 397 00:20:32,359 --> 00:20:34,359 Speaker 1: can show their children later on, like here's this little 398 00:20:34,359 --> 00:20:37,440 Speaker 1: film strip of us in love our brains look at it. Well. 399 00:20:37,480 --> 00:20:39,040 Speaker 1: That was another thing they brought up, is that by 400 00:20:39,119 --> 00:20:42,960 Speaker 1: under the more we understand love and and ultimately hate 401 00:20:43,000 --> 00:20:45,720 Speaker 1: and and heartbreak, that the more that we can we 402 00:20:45,760 --> 00:20:47,639 Speaker 1: can sort of rationalize it like that was that was 403 00:20:47,640 --> 00:20:49,840 Speaker 1: one of the arguments that did we understand what's happening 404 00:20:49,880 --> 00:20:52,640 Speaker 1: chemically in our brains when when we're feeling heartsick, then 405 00:20:52,840 --> 00:20:55,560 Speaker 1: then we can we can understand it and and and 406 00:20:55,600 --> 00:20:58,840 Speaker 1: make sense a bit more, deal with it better. I 407 00:20:58,840 --> 00:21:01,560 Speaker 1: don't know. I I never I never had. I don't 408 00:21:01,560 --> 00:21:04,240 Speaker 1: think I had the scientific info when I was going 409 00:21:04,280 --> 00:21:07,159 Speaker 1: through heartbreaking situations. No, I didn't need that. I'm not 410 00:21:07,480 --> 00:21:09,640 Speaker 1: sure if I'm ready now. I hope I don't. I'm 411 00:21:09,640 --> 00:21:11,800 Speaker 1: not put to the test, but I'm saying I'm ready. Yeah, 412 00:21:11,880 --> 00:21:14,560 Speaker 1: all right, for now, until I forget everything we researched. 413 00:21:14,560 --> 00:21:17,800 Speaker 1: So yeah, so it needs to happen in the next 414 00:21:17,840 --> 00:21:20,600 Speaker 1: fifteen minutes because then I flush all this data. All right, 415 00:21:20,680 --> 00:21:24,840 Speaker 1: I'm turning my phone off. In that case, let's talk 416 00:21:24,880 --> 00:21:27,200 Speaker 1: about robots sex. Yeah, as long as we're talking about 417 00:21:27,240 --> 00:21:29,200 Speaker 1: machines and love, then maybe, you know, maybe we don't 418 00:21:29,200 --> 00:21:32,320 Speaker 1: need a machine to quantify love between two humans. How 419 00:21:32,359 --> 00:21:35,479 Speaker 1: about just love between a human and his or her 420 00:21:35,520 --> 00:21:38,880 Speaker 1: sex spot. Okay, So, I mean we've seen some some 421 00:21:39,000 --> 00:21:42,359 Speaker 1: of this in the media, right, Like two thousand seven, 422 00:21:42,440 --> 00:21:45,240 Speaker 1: David Levi wrote the book Love and Sex with Robots, 423 00:21:45,480 --> 00:21:48,240 Speaker 1: and so he posits that in the very near automated 424 00:21:48,280 --> 00:21:54,199 Speaker 1: future that will undoubtedly, undoubtably having sex with robots, and 425 00:21:54,240 --> 00:21:58,200 Speaker 1: we'll have to developed like robot prostitute sex spots. Yeah. 426 00:21:58,280 --> 00:22:00,080 Speaker 1: Well and to a certain extent, we you know, we 427 00:22:00,080 --> 00:22:02,840 Speaker 1: definitely already have this technology it comes to fruition. Do 428 00:22:02,920 --> 00:22:05,960 Speaker 1: not do an image search on any of this. But 429 00:22:05,960 --> 00:22:08,720 Speaker 1: but there there are these things called real dolls, which 430 00:22:08,720 --> 00:22:13,720 Speaker 1: are basically dolls. They're human looking things, tactile like, they 431 00:22:13,840 --> 00:22:18,440 Speaker 1: feel like human flush and one can can can conceivably 432 00:22:18,840 --> 00:22:25,119 Speaker 1: um engage with said there are anatomically correct and uh. 433 00:22:25,160 --> 00:22:27,440 Speaker 1: And then there this wasn't just in the last year, 434 00:22:27,520 --> 00:22:32,760 Speaker 1: but the company A true companion LLC unveiled a prototype 435 00:22:32,760 --> 00:22:35,560 Speaker 1: of something called Roxy with three X is. Of course, 436 00:22:36,359 --> 00:22:39,040 Speaker 1: at Las Vegas is two thousand ten adults Entertainment expo, 437 00:22:39,520 --> 00:22:43,360 Speaker 1: and it basically looks like an inanimate sex doll. And 438 00:22:43,480 --> 00:22:48,000 Speaker 1: uh but it allegedly boast enough artificial intelligence and prerecorded 439 00:22:48,400 --> 00:22:52,560 Speaker 1: phrases to engage in pillow talk. So yeah, literally creepy. 440 00:22:52,600 --> 00:22:54,080 Speaker 1: Do not do an image search for that one either, 441 00:22:54,080 --> 00:22:55,959 Speaker 1: because even like the press images for that, I had 442 00:22:56,000 --> 00:22:58,640 Speaker 1: to look it up for an article and uh, it's 443 00:22:58,840 --> 00:23:03,240 Speaker 1: into my mind creepy. Yeah, and apparently too, you know, 444 00:23:03,280 --> 00:23:07,560 Speaker 1: she could be programmed. Um and if you this is 445 00:23:07,680 --> 00:23:09,800 Speaker 1: this isn't from an article that I read it says 446 00:23:10,320 --> 00:23:13,600 Speaker 1: that she may even per metallic sounding that gets me 447 00:23:13,720 --> 00:23:17,520 Speaker 1: hot after you introduce a topic like soccer, so you 448 00:23:17,600 --> 00:23:20,600 Speaker 1: know who wants that? I don't know. It's like I'm 449 00:23:20,600 --> 00:23:22,919 Speaker 1: just saying, I'm just in terms of why do you 450 00:23:22,920 --> 00:23:27,960 Speaker 1: want your robotic partner getting aroused at that that soccer talk? 451 00:23:28,000 --> 00:23:31,200 Speaker 1: I mean, that's that's keep that out of the weird situation. 452 00:23:31,280 --> 00:23:34,400 Speaker 1: I know, I know. And we're talking nine thousand clams here, 453 00:23:34,640 --> 00:23:36,840 Speaker 1: So I mean you know that do you want your 454 00:23:37,320 --> 00:23:40,679 Speaker 1: car or do you want your sex spot? Yeah? I 455 00:23:40,680 --> 00:23:44,280 Speaker 1: mean I get it. You know, it's it's that sort 456 00:23:44,280 --> 00:23:46,560 Speaker 1: of easy way out in relationships. But and this is 457 00:23:46,560 --> 00:23:51,080 Speaker 1: where it gets interesting. Um, there is a woman named 458 00:23:51,080 --> 00:23:53,320 Speaker 1: Sherry Turkle, and she's a psych professor M I. T. 459 00:23:53,520 --> 00:23:56,320 Speaker 1: And she's been studying robots and human interactions since the seventies. 460 00:23:57,000 --> 00:24:00,000 Speaker 1: And it turns out that one day she found herself 461 00:24:00,200 --> 00:24:05,480 Speaker 1: smitten with their office robot, cogg is his name, hoping 462 00:24:05,840 --> 00:24:08,119 Speaker 1: that he would turn his head her way when she spoke, 463 00:24:08,440 --> 00:24:10,719 Speaker 1: and was wishing to be around him more than her 464 00:24:10,720 --> 00:24:14,360 Speaker 1: actual coworkers. Now, what did cog do? What was his function? 465 00:24:14,640 --> 00:24:16,239 Speaker 1: He wasn't like a room by or anything was, I mean, 466 00:24:16,240 --> 00:24:18,119 Speaker 1: not anything wrong. I don't want to get all class 467 00:24:18,119 --> 00:24:21,280 Speaker 1: sensitive about who in which robot you can follow up. 468 00:24:21,280 --> 00:24:23,720 Speaker 1: You're judging the robot that she falls in love. Um, 469 00:24:23,760 --> 00:24:26,119 Speaker 1: I think that his I think this was maybe in 470 00:24:26,119 --> 00:24:29,280 Speaker 1: the earlier part of UM A I M I T 471 00:24:29,440 --> 00:24:31,760 Speaker 1: and so his main function I think was to turn 472 00:24:31,800 --> 00:24:34,880 Speaker 1: around and to engage with a human. So if if 473 00:24:34,880 --> 00:24:36,399 Speaker 1: I were to be talking, he would turn around the 474 00:24:36,480 --> 00:24:37,879 Speaker 1: neck like he was listening to me, and then I 475 00:24:37,920 --> 00:24:40,840 Speaker 1: would think, oh, he's he he's listening to me, understands me. 476 00:24:41,520 --> 00:24:44,600 Speaker 1: So UM, she's been that Turkle has been a huge 477 00:24:44,600 --> 00:24:47,840 Speaker 1: proponent of social social technology. Um. But she now was 478 00:24:47,920 --> 00:24:50,200 Speaker 1: kind of looking at the last forty years of her 479 00:24:50,240 --> 00:24:53,359 Speaker 1: career and her studies, and she's weaving a cautionary tale 480 00:24:53,920 --> 00:24:56,600 Speaker 1: from her field research, which is filled with hundreds of 481 00:24:56,600 --> 00:24:59,680 Speaker 1: interviews with children and teenagers and adults and the elderly 482 00:24:59,800 --> 00:25:03,760 Speaker 1: and countering tech gadgets and over and over she would 483 00:25:03,840 --> 00:25:07,280 Speaker 1: see how even the most basic robotic dog or baby doll, 484 00:25:07,400 --> 00:25:10,879 Speaker 1: or even just a shell of a robot could spark 485 00:25:10,960 --> 00:25:14,240 Speaker 1: a deep emotional response. Yeah, I think there's no question 486 00:25:14,240 --> 00:25:15,600 Speaker 1: that we're good at Like I don't question for a 487 00:25:15,600 --> 00:25:17,840 Speaker 1: second that a human could fall in love with a robot. 488 00:25:17,880 --> 00:25:20,399 Speaker 1: I mean we can, we can fall in love with 489 00:25:21,040 --> 00:25:25,320 Speaker 1: non robotic machine and things, you know, like to be 490 00:25:25,600 --> 00:25:28,399 Speaker 1: there's a the had a real doll or like a 491 00:25:28,440 --> 00:25:31,400 Speaker 1: stuffed animal. I mean they're even Uh, there's one particularly 492 00:25:31,400 --> 00:25:37,800 Speaker 1: delusional misidentification syndrome called syndrome of delusional companions, where you 493 00:25:37,920 --> 00:25:41,920 Speaker 1: end up looking to things like maybe it's something that's 494 00:25:42,000 --> 00:25:43,760 Speaker 1: some sort of item that you have an association with. 495 00:25:43,800 --> 00:25:46,879 Speaker 1: And this was a typical typically seen in like Alzheimer's patients. 496 00:25:46,880 --> 00:25:51,040 Speaker 1: But they begin getting they have these comforting associations with 497 00:25:51,080 --> 00:25:53,720 Speaker 1: the toy, and then they start experiencing the toy is 498 00:25:53,760 --> 00:25:58,639 Speaker 1: a singent thing and they keep then they're triggered associated 499 00:25:58,640 --> 00:26:03,560 Speaker 1: behavior so well. And see that's interesting because what Turkle 500 00:26:03,640 --> 00:26:07,040 Speaker 1: is basically saying is that that's that's where it becomes 501 00:26:07,080 --> 00:26:14,119 Speaker 1: an ethics question um between ai UM developers and the 502 00:26:14,200 --> 00:26:17,000 Speaker 1: community at large, because if you're going to keep using 503 00:26:17,520 --> 00:26:20,359 Speaker 1: robots in society and eventually they come to you know, 504 00:26:20,400 --> 00:26:24,000 Speaker 1: we already have ones that can spend baith elderly person, 505 00:26:24,119 --> 00:26:27,320 Speaker 1: right um, and you program them so that they're so 506 00:26:27,440 --> 00:26:30,119 Speaker 1: nuanced that they really do have all these different ways 507 00:26:30,119 --> 00:26:33,359 Speaker 1: of communicating with human then what, you know, what are 508 00:26:33,400 --> 00:26:38,040 Speaker 1: we what sort of what sort of society are we 509 00:26:38,080 --> 00:26:40,040 Speaker 1: setting up? And what are we doing with our human 510 00:26:40,080 --> 00:26:43,920 Speaker 1: emotions when you're projecting love onto something that can't love back. 511 00:26:44,520 --> 00:26:46,760 Speaker 1: And then that brings me to the other question is 512 00:26:46,560 --> 00:26:48,560 Speaker 1: is love just a mirage in the first place? Are 513 00:26:48,600 --> 00:26:50,640 Speaker 1: we doing that with humans anyway? So it's my concept 514 00:26:50,680 --> 00:26:53,879 Speaker 1: of love for one person, is that even my idea 515 00:26:53,920 --> 00:26:56,919 Speaker 1: of that person and that love is that even realistic 516 00:26:57,000 --> 00:26:58,760 Speaker 1: or concrete? Yeah, it's kind of I think there's a 517 00:26:58,800 --> 00:27:02,960 Speaker 1: line in Terry pratchett hog Father where some wizards have 518 00:27:03,040 --> 00:27:05,680 Speaker 1: created a computer and and one of the wizards asked 519 00:27:05,680 --> 00:27:08,600 Speaker 1: about whether it's, uh, you know, it's actually thinking, and 520 00:27:08,600 --> 00:27:10,600 Speaker 1: it's like, no, it just appears to be thinking. And 521 00:27:10,920 --> 00:27:13,320 Speaker 1: they're like, oh, it's just like everybody else. Then, you know. So, 522 00:27:13,400 --> 00:27:16,320 Speaker 1: I mean, there there comes a point where when when 523 00:27:16,359 --> 00:27:19,520 Speaker 1: you when you look at the possibility of robots faking 524 00:27:19,760 --> 00:27:21,800 Speaker 1: things that are human, you have to also look inward 525 00:27:21,840 --> 00:27:24,240 Speaker 1: at us and say, well, what, how many things, how 526 00:27:24,280 --> 00:27:27,840 Speaker 1: many aspects of the human experience are to some extent 527 00:27:27,960 --> 00:27:31,280 Speaker 1: or the other of fate. You know, everything from consciousness 528 00:27:31,359 --> 00:27:33,520 Speaker 1: to to love to hate. If you get down and 529 00:27:33,560 --> 00:27:36,040 Speaker 1: you analyze it enough and you break down, like even 530 00:27:36,080 --> 00:27:39,119 Speaker 1: things like free will, um, it gets down, you can 531 00:27:39,200 --> 00:27:40,560 Speaker 1: you can. You can break it down to the point 532 00:27:40,600 --> 00:27:43,719 Speaker 1: where it where the magic disappears. It's uh, I think 533 00:27:43,760 --> 00:27:46,480 Speaker 1: are the way our Scott Baker put it um when 534 00:27:46,600 --> 00:27:50,240 Speaker 1: in talking about his book Neuropath, was that things like 535 00:27:50,280 --> 00:27:55,280 Speaker 1: consciousness um that they're like, um, it's it's all part 536 00:27:55,320 --> 00:27:57,000 Speaker 1: of like a like a coin trick, a magic trick, 537 00:27:57,240 --> 00:27:59,880 Speaker 1: and we are the magic. And so if you if 538 00:28:00,000 --> 00:28:02,280 Speaker 1: if you explain away the trick, like we're the magic 539 00:28:02,359 --> 00:28:05,880 Speaker 1: that disappears. Okay, so love could just be another construct 540 00:28:05,880 --> 00:28:08,280 Speaker 1: of the mind. Yeah. So eventually we create machines that 541 00:28:08,320 --> 00:28:10,280 Speaker 1: can that are just as good at creating this kind 542 00:28:10,280 --> 00:28:11,879 Speaker 1: of magic, and we either buy into it or we 543 00:28:11,920 --> 00:28:13,879 Speaker 1: don't buy into it. It's kind of like I feel like, 544 00:28:14,040 --> 00:28:15,359 Speaker 1: you know, every day you can sort of make a 545 00:28:15,440 --> 00:28:17,560 Speaker 1: choice whether to buy into the magic of life or not. 546 00:28:18,000 --> 00:28:19,840 Speaker 1: You know, you're going to see the person next to 547 00:28:19,840 --> 00:28:23,679 Speaker 1: you as a as this uh, this spongy organ setting 548 00:28:23,680 --> 00:28:26,919 Speaker 1: in a skull and you know, flooded with different chemicals 549 00:28:26,960 --> 00:28:30,320 Speaker 1: and you know, plodding through its day thinking it's conscious 550 00:28:30,880 --> 00:28:34,840 Speaker 1: or um or do you look at them as something better? 551 00:28:34,920 --> 00:28:38,280 Speaker 1: I don't know. Well, I mean when the technological similarity comes, 552 00:28:38,280 --> 00:28:41,200 Speaker 1: will we even have a choice? Yeah? Maybe not? Yeah, 553 00:28:41,360 --> 00:28:43,840 Speaker 1: I think you will have to love robots. Yeah, but 554 00:28:43,880 --> 00:28:46,400 Speaker 1: maybe maybe the maybe the robots will be worth loving. 555 00:28:46,440 --> 00:28:48,920 Speaker 1: That's my my hope. I know, I know, I love 556 00:28:48,960 --> 00:28:52,200 Speaker 1: that you're optimistic about that. Yeah, not I mean loving 557 00:28:52,200 --> 00:28:54,720 Speaker 1: in a not in a sex spot fashion. But who knows, 558 00:28:54,920 --> 00:28:56,560 Speaker 1: you know, a few generations from now that may make 559 00:28:56,600 --> 00:28:58,440 Speaker 1: total sense and they'll look back at me and but whoa. 560 00:28:58,520 --> 00:29:00,480 Speaker 1: That guy was really out of line when he said 561 00:29:00,720 --> 00:29:04,480 Speaker 1: a human should not marry machines that have the name 562 00:29:04,520 --> 00:29:06,760 Speaker 1: like Roxy with three xes. Yeah, are right? I mean, 563 00:29:06,840 --> 00:29:10,200 Speaker 1: like how Judge metal. So I think that's a pretty 564 00:29:10,200 --> 00:29:15,800 Speaker 1: good Valentine note to end to everybody. If you, if you, 565 00:29:16,480 --> 00:29:18,320 Speaker 1: if you have somebody in your life, great, If not, 566 00:29:18,520 --> 00:29:22,040 Speaker 1: just wait for robots. Um, it'll it'll be around eventually. 567 00:29:22,200 --> 00:29:25,480 Speaker 1: But or save up for Roxy. Yeah. But anyway, you know, 568 00:29:25,600 --> 00:29:27,959 Speaker 1: some some some different ways to think about love and 569 00:29:28,000 --> 00:29:30,400 Speaker 1: hate and what they have to do with each other 570 00:29:30,520 --> 00:29:32,920 Speaker 1: and what they have to do with whatever you're going 571 00:29:32,920 --> 00:29:35,640 Speaker 1: through right now. So, hey, I have some lister mail. 572 00:29:36,200 --> 00:29:39,760 Speaker 1: Oh bring them all right, some fairly short ones here, 573 00:29:39,800 --> 00:29:43,000 Speaker 1: Gabriel writes in he says, and he's responding to our 574 00:29:43,040 --> 00:29:45,680 Speaker 1: Life on the Floor episode. We seem to be pretty 575 00:29:45,680 --> 00:29:49,040 Speaker 1: popular with folks. Uh, says Julian Robert. I don't know 576 00:29:49,080 --> 00:29:52,400 Speaker 1: who would write a feature Romeo and Juliet in which 577 00:29:52,400 --> 00:29:54,640 Speaker 1: the characters live in ancient skyscrapers, but I can tell 578 00:29:54,680 --> 00:29:57,200 Speaker 1: you that the skybridge fight scenes would be awesome. A 579 00:29:57,320 --> 00:30:01,080 Speaker 1: curse on both your ancient skyscrapers needs work. Have a 580 00:30:01,080 --> 00:30:04,840 Speaker 1: better one, Gabriel. So there it is and it works. Yeah, 581 00:30:05,120 --> 00:30:07,840 Speaker 1: it's it's taking form. Keep keep thinking of those ideas 582 00:30:07,840 --> 00:30:10,880 Speaker 1: of people. Um. Then also Ryan writes in, hey, Robert 583 00:30:10,880 --> 00:30:13,880 Speaker 1: and Julie, I was listening to the High Animals podcast, 584 00:30:13,960 --> 00:30:17,040 Speaker 1: the one about Junkie's animal kingdom, and I thought you 585 00:30:17,080 --> 00:30:20,800 Speaker 1: ought to know that you can't get nicotine lotion. But 586 00:30:20,840 --> 00:30:23,880 Speaker 1: I have seen caffeinated body so apparently if you use 587 00:30:23,920 --> 00:30:26,200 Speaker 1: it in your morning shower, it will help you wake 588 00:30:26,280 --> 00:30:28,600 Speaker 1: up in the morning as a substitute or in addition 589 00:30:28,640 --> 00:30:30,840 Speaker 1: to coffee. All Right, I need all the help I 590 00:30:30,840 --> 00:30:33,960 Speaker 1: can get. I'll try it out. Uh. Then we also 591 00:30:34,000 --> 00:30:39,160 Speaker 1: heard from well another Um, oh it's the same Ryan. Well, well, 592 00:30:39,240 --> 00:30:42,479 Speaker 1: we'll save that one for later. Um. But then Joel 593 00:30:42,600 --> 00:30:45,280 Speaker 1: writes in, and Joel says, Hey, guys, I'm an avid listener. 594 00:30:45,600 --> 00:30:47,840 Speaker 1: I've been meaning to send this reference in for some time, 595 00:30:48,040 --> 00:30:49,560 Speaker 1: but I only just got around to it. I was 596 00:30:49,560 --> 00:30:52,080 Speaker 1: reminded when you talked about it again at the end 597 00:30:52,120 --> 00:30:54,479 Speaker 1: of the Life Aquatic podcast. There's a great book by 598 00:30:54,480 --> 00:30:57,000 Speaker 1: an author which tackles exactly the problem of living in 599 00:30:57,040 --> 00:31:01,040 Speaker 1: a giant building interconnected with all the amended. In J. G. 600 00:31:01,240 --> 00:31:04,080 Speaker 1: Ballard's novel high Rise, a massive building is being filled 601 00:31:04,080 --> 00:31:06,400 Speaker 1: with people rich at the top, less well to do 602 00:31:06,440 --> 00:31:08,880 Speaker 1: on the bottom, including shopping malls and swimming pools. The 603 00:31:08,880 --> 00:31:12,280 Speaker 1: novel takes a creepy turn when floors based on socioeconomic 604 00:31:12,400 --> 00:31:16,200 Speaker 1: standing began fighting with each other, even killing people stopped 605 00:31:16,240 --> 00:31:19,360 Speaker 1: leaving the building, sabotage elevators, booby trap hallways, and formed 606 00:31:19,400 --> 00:31:22,920 Speaker 1: tribal groups. Even cannibalism and the rate begin. Certain figures 607 00:31:22,960 --> 00:31:25,760 Speaker 1: become kinglike and rule over different areas of the high rise, 608 00:31:25,920 --> 00:31:28,680 Speaker 1: warring with each other. In the end not to totally 609 00:31:28,720 --> 00:31:32,000 Speaker 1: wreck it. If you survive the chaos, definitely a great read. 610 00:31:32,320 --> 00:31:37,640 Speaker 1: You can watch organized society breakdown within this one massive building. Um, 611 00:31:37,680 --> 00:31:39,640 Speaker 1: so that's uh, that's cool. J. G. Ballard is an 612 00:31:39,640 --> 00:31:42,560 Speaker 1: author that I have been meaning to read for some time, 613 00:31:42,560 --> 00:31:45,320 Speaker 1: and I have I have friends who keep telling me, 614 00:31:45,600 --> 00:31:47,640 Speaker 1: you know, you gotta read this, you gotta, you gotta 615 00:31:47,640 --> 00:31:50,280 Speaker 1: read his short stories so supposedly really awesome, and that 616 00:31:50,480 --> 00:31:52,560 Speaker 1: this is the second time someone's mentioned Skycrite was great 617 00:31:52,560 --> 00:31:54,040 Speaker 1: for to me, but I didn't. I didn't even think 618 00:31:54,040 --> 00:31:56,760 Speaker 1: about it lining up with everything that I was requesting 619 00:31:57,560 --> 00:32:00,400 Speaker 1: at the end of that podcast. Huh, what, I'm gonna 620 00:32:00,440 --> 00:32:02,880 Speaker 1: check into it as well. It's cool. So if you 621 00:32:02,960 --> 00:32:05,040 Speaker 1: have any anything you want to add to this, uh, 622 00:32:05,160 --> 00:32:07,200 Speaker 1: feel free to interact with us on Facebook and Twitter. 623 00:32:07,320 --> 00:32:10,160 Speaker 1: We are blow the Mind on both of those. We 624 00:32:10,440 --> 00:32:13,360 Speaker 1: update that pretty regularly with neat links to stuff at 625 00:32:13,360 --> 00:32:15,800 Speaker 1: how stuff works and elsewhere on the web. And if 626 00:32:15,840 --> 00:32:19,440 Speaker 1: you've got any comments about love hate robots, please do 627 00:32:19,560 --> 00:32:21,240 Speaker 1: drop us a line at Blow the Mind at how 628 00:32:21,280 --> 00:32:27,840 Speaker 1: stuff works dot com. For more on this and thousands 629 00:32:27,840 --> 00:32:30,400 Speaker 1: of other topics, visit how stuff works dot com. To 630 00:32:30,520 --> 00:32:33,360 Speaker 1: learn more about the podcast, click on the podcast icon 631 00:32:33,480 --> 00:32:36,280 Speaker 1: in the upper right corner of our homepage, The How 632 00:32:36,360 --> 00:32:39,200 Speaker 1: Stuff Works iPhone app has a ride. Download it today 633 00:32:39,400 --> 00:32:40,120 Speaker 1: on iTunes