WEBVTT

1
00:00:00.200 --> 00:00:03.200
<v Speaker 1>Welcome back to the Doctor Wendywell Show on KFI AM

2
00:00:03.279 --> 00:00:07.559
<v Speaker 1>six forty live everywhere on the iHeartRadio app. Okay, I'm

3
00:00:07.599 --> 00:00:11.640
<v Speaker 1>really excited to introduce my next guest because I'm going

4
00:00:11.679 --> 00:00:14.560
<v Speaker 1>to start by telling you a story. I was in

5
00:00:14.599 --> 00:00:17.039
<v Speaker 1>Australia last week and I was having dinner with a

6
00:00:17.039 --> 00:00:21.000
<v Speaker 1>group of people and one of my friends recently got

7
00:00:21.079 --> 00:00:25.600
<v Speaker 1>married in September, and her husband is you know, it's

8
00:00:25.600 --> 00:00:28.239
<v Speaker 1>sort of they wouldn't have met each other in real

9
00:00:28.280 --> 00:00:30.039
<v Speaker 1>life if it wasn't for the apps, because they work

10
00:00:30.079 --> 00:00:32.679
<v Speaker 1>in different industries, they lived in different part of the cities,

11
00:00:32.719 --> 00:00:36.000
<v Speaker 1>et cetera. And I said, how did you meet? And

12
00:00:36.039 --> 00:00:39.719
<v Speaker 1>she said, we met on a dating app that matches

13
00:00:39.799 --> 00:00:45.640
<v Speaker 1>you based on your musical tastes. And I thought to myself, really, like,

14
00:00:46.039 --> 00:00:49.320
<v Speaker 1>that's the foundation for their marriage, is that they liked

15
00:00:49.320 --> 00:00:52.799
<v Speaker 1>the same record. Well, I had to get her on

16
00:00:52.840 --> 00:00:56.039
<v Speaker 1>the show. Not that woman, but the founder of finally,

17
00:00:56.159 --> 00:00:59.600
<v Speaker 1>a dating app that matches people based on music compatibility.

18
00:01:00.000 --> 00:01:02.679
<v Speaker 1>Welcome Rachel van Nortwig. How are you.

19
00:01:04.400 --> 00:01:06.400
<v Speaker 2>I'm doing well. Thank you for having me.

20
00:01:06.879 --> 00:01:11.439
<v Speaker 1>So you launched vinyally about six years ago, and tell

21
00:01:11.480 --> 00:01:15.599
<v Speaker 1>me how you got the idea that matching people based

22
00:01:15.640 --> 00:01:18.239
<v Speaker 1>on taysts in music would work.

23
00:01:20.400 --> 00:01:23.840
<v Speaker 2>Sure, So you know, by age six I had to

24
00:01:23.920 --> 00:01:27.560
<v Speaker 2>fallen in love with my parents' records and started collecting vinyl,

25
00:01:27.680 --> 00:01:31.319
<v Speaker 2>and by age fifteen I was hooked on live music.

26
00:01:31.319 --> 00:01:34.879
<v Speaker 2>I've now been to over six hundred shows myself, and

27
00:01:35.400 --> 00:01:37.959
<v Speaker 2>I was at one point married to somebody who was

28
00:01:38.000 --> 00:01:41.519
<v Speaker 2>a less enthusiastic plus one when it came to seeing

29
00:01:41.560 --> 00:01:44.439
<v Speaker 2>live music. And for me, you know, that's something that's

30
00:01:44.480 --> 00:01:47.640
<v Speaker 2>so important as part of my lifestyle and my identity.

31
00:01:48.159 --> 00:01:51.920
<v Speaker 2>There was men app like Vinylly, and so I set

32
00:01:51.920 --> 00:01:53.680
<v Speaker 2>out to create one.

33
00:01:53.959 --> 00:01:55.879
<v Speaker 1>So how does it work? First of all, before we

34
00:01:55.920 --> 00:01:58.239
<v Speaker 1>get into how did it works? Why do you think

35
00:01:58.439 --> 00:02:04.480
<v Speaker 1>music compatibility signals life compatibility as far as you know,

36
00:02:04.640 --> 00:02:08.800
<v Speaker 1>living together, sharing bills, raising kids, caring for each other.

37
00:02:09.400 --> 00:02:11.599
<v Speaker 1>What is the common denominator with music?

38
00:02:13.840 --> 00:02:15.759
<v Speaker 2>So of course, you know there's so much that goes

39
00:02:15.759 --> 00:02:19.439
<v Speaker 2>into a relationship, but you know, when you have a

40
00:02:19.439 --> 00:02:22.080
<v Speaker 2>common bond, and a common bond that is something that's

41
00:02:22.599 --> 00:02:25.680
<v Speaker 2>deep and tied to who you are as a person,

42
00:02:26.159 --> 00:02:29.199
<v Speaker 2>that always helps right to have that kind of foundational

43
00:02:29.240 --> 00:02:32.479
<v Speaker 2>appreciation for someone else. And so the great thing about

44
00:02:32.560 --> 00:02:36.560
<v Speaker 2>vinylly is. It's actually backed by science. So science has

45
00:02:36.639 --> 00:02:43.520
<v Speaker 2>proven that shared music in relationship in relationships actually increases dopamine,

46
00:02:43.800 --> 00:02:48.199
<v Speaker 2>it lowers the stress hormone cortisol, and it strengthens communication.

47
00:02:48.360 --> 00:02:52.039
<v Speaker 2>So there's you know a lot of reasons right that

48
00:02:52.360 --> 00:02:55.800
<v Speaker 2>you know, music can help and be helping in a relationship,

49
00:02:56.039 --> 00:02:58.479
<v Speaker 2>as well as the fact that just in today's world,

50
00:02:59.759 --> 00:03:03.319
<v Speaker 2>you know, it's the way that young people express themselves.

51
00:03:03.800 --> 00:03:07.199
<v Speaker 2>Daters have also said, you know, more than seventy percent

52
00:03:07.240 --> 00:03:09.879
<v Speaker 2>of them said that if they did not match music

53
00:03:09.919 --> 00:03:12.719
<v Speaker 2>with their partner, it would be a field breaker. So

54
00:03:13.319 --> 00:03:15.319
<v Speaker 2>there's a lot of reasons that music is sort of

55
00:03:15.360 --> 00:03:17.560
<v Speaker 2>the way for vioyly.

56
00:03:17.520 --> 00:03:22.919
<v Speaker 1>And certain genres of music are connected to certain cultural groups, right,

57
00:03:23.080 --> 00:03:27.280
<v Speaker 1>the difference between say, rap, classical jazz, and country. They

58
00:03:27.319 --> 00:03:29.879
<v Speaker 1>might be different people, although there are some people who

59
00:03:29.879 --> 00:03:33.080
<v Speaker 1>appreciate it all, like my husband. But you know, it's

60
00:03:33.080 --> 00:03:36.319
<v Speaker 1>interesting because when people are dating, it's very common now

61
00:03:36.400 --> 00:03:39.360
<v Speaker 1>for them to like make a music list as according

62
00:03:39.479 --> 00:03:42.159
<v Speaker 1>ritual and send it to somebody a Spotify list or

63
00:03:42.159 --> 00:03:42.639
<v Speaker 1>what have you.

64
00:03:43.919 --> 00:03:47.960
<v Speaker 3>Was this kind of a takeoff on that, Yeah, So

65
00:03:48.280 --> 00:03:51.159
<v Speaker 3>you know, when I was younger, we used to make

66
00:03:51.240 --> 00:03:55.560
<v Speaker 3>mixtapes for you know, our friends or the people we

67
00:03:55.560 --> 00:03:56.039
<v Speaker 3>were dating.

68
00:03:56.120 --> 00:03:59.439
<v Speaker 2>We put such time and effort into you know, how

69
00:03:59.439 --> 00:04:03.039
<v Speaker 2>we order what it meant, even like how we you know,

70
00:04:04.000 --> 00:04:07.080
<v Speaker 2>created artwork on the outside. And so you know, yeah,

71
00:04:07.080 --> 00:04:09.800
<v Speaker 2>in a way, you know, finally is sort of a

72
00:04:09.840 --> 00:04:13.120
<v Speaker 2>modern day version of that. You actually can you know,

73
00:04:13.199 --> 00:04:16.120
<v Speaker 2>create playlists on the app for people to check out

74
00:04:16.160 --> 00:04:20.439
<v Speaker 2>before they decide to push play on you, and you

75
00:04:20.480 --> 00:04:23.360
<v Speaker 2>can share music, you know, back and forth. So yes,

76
00:04:23.439 --> 00:04:25.439
<v Speaker 2>in a way, it's it's very much the same.

77
00:04:26.000 --> 00:04:28.680
<v Speaker 1>So it's interesting because I met my husband, you know,

78
00:04:28.839 --> 00:04:31.319
<v Speaker 1>four and a half years ago. We got married in August,

79
00:04:31.920 --> 00:04:34.839
<v Speaker 1>and I was doing a lot of long card drives

80
00:04:34.879 --> 00:04:36.600
<v Speaker 1>because I have a farm in Oregon that I was

81
00:04:36.639 --> 00:04:40.000
<v Speaker 1>remodeling and I do twelve hours on the freeway. And

82
00:04:40.120 --> 00:04:42.120
<v Speaker 1>he was the first one to ever send me a

83
00:04:42.160 --> 00:04:46.759
<v Speaker 1>playlist on Apple Music. And my initials are WW, so

84
00:04:46.879 --> 00:04:49.360
<v Speaker 1>my nick name is dub and so the first playlist,

85
00:04:49.360 --> 00:04:52.279
<v Speaker 1>which is called dub music, and I listened to and

86
00:04:52.639 --> 00:04:56.079
<v Speaker 1>it was love songs expressing everything he was experiencing, and

87
00:04:56.120 --> 00:04:59.399
<v Speaker 1>then it became dubbed music. The next one came, and

88
00:04:59.439 --> 00:05:03.279
<v Speaker 1>then young Dub music, stuff from my childhood that might

89
00:05:03.319 --> 00:05:06.480
<v Speaker 1>be reminiscent that we must share in common, and then

90
00:05:06.560 --> 00:05:10.240
<v Speaker 1>classical dub and then let's go disco dub and I

91
00:05:10.399 --> 00:05:16.720
<v Speaker 1>probably have twenty different until it became wedding recessional songs

92
00:05:16.759 --> 00:05:17.680
<v Speaker 1>for dub.

93
00:05:18.959 --> 00:05:19.480
<v Speaker 3>Wow.

94
00:05:19.519 --> 00:05:24.519
<v Speaker 1>So I understand this like he was expressing himself through

95
00:05:24.560 --> 00:05:27.720
<v Speaker 1>the music and also showing me that he knew me

96
00:05:27.959 --> 00:05:29.959
<v Speaker 1>and stages of life. And I happen to be I'm not.

97
00:05:30.600 --> 00:05:33.319
<v Speaker 1>I'm not into music. In other words, I let the

98
00:05:33.360 --> 00:05:35.000
<v Speaker 1>AI choose my playlist.

99
00:05:35.040 --> 00:05:35.399
<v Speaker 3>I just go.

100
00:05:35.680 --> 00:05:38.319
<v Speaker 1>If I get on a staremaster, I'm embarrassed to tell

101
00:05:38.319 --> 00:05:40.639
<v Speaker 1>you this, Rachel. I get on a Staremaster, I just

102
00:05:40.680 --> 00:05:43.319
<v Speaker 1>type in the word Beyonce and I get like Beyonce music.

103
00:05:43.360 --> 00:05:45.160
<v Speaker 1>You know, it starts with to the left, to the level,

104
00:05:45.199 --> 00:05:47.600
<v Speaker 1>and the next thing you know, it's all music for staremaster.

105
00:05:48.079 --> 00:05:51.800
<v Speaker 1>So he though knows music deep. And when we were

106
00:05:51.800 --> 00:05:54.279
<v Speaker 1>in Australia last week, we went to the Sydney Opera

107
00:05:54.319 --> 00:05:56.720
<v Speaker 1>House to listen to symphony and he looks at me

108
00:05:56.759 --> 00:06:00.360
<v Speaker 1>and he's like, I can't believe this chamber orc starts

109
00:06:00.399 --> 00:06:03.560
<v Speaker 1>doing Beethoven seven. They're like batting out of their league.

110
00:06:03.680 --> 00:06:05.759
<v Speaker 1>And I'm like, I don't know what you're saying, but okay,

111
00:06:05.800 --> 00:06:12.959
<v Speaker 1>it sounds good to me. So how does vinyly work.

112
00:06:13.199 --> 00:06:16.560
<v Speaker 1>When people go online? Do they list their favorite artists?

113
00:06:16.560 --> 00:06:17.279
<v Speaker 1>How does it work?

114
00:06:19.000 --> 00:06:23.480
<v Speaker 2>Sure? So, Vinyaly users can sink their Spotify or use

115
00:06:23.519 --> 00:06:27.879
<v Speaker 2>our profile generator to sign up. We ask basic questions

116
00:06:27.920 --> 00:06:32.079
<v Speaker 2>about what they're looking for, and then on proprietary algorithm

117
00:06:32.439 --> 00:06:36.399
<v Speaker 2>produces matches. Right, so it's a pretty quick sign up.

118
00:06:36.920 --> 00:06:40.639
<v Speaker 2>You can shuffle through matches or fast forward listening to playlists,

119
00:06:41.240 --> 00:06:44.079
<v Speaker 2>and you know when you're ready to press play a match.

120
00:06:44.439 --> 00:06:47.759
<v Speaker 2>You can use our music conversation starters. And then lastly,

121
00:06:48.279 --> 00:06:51.040
<v Speaker 2>without having to leave the chat, users can actually search,

122
00:06:51.079 --> 00:06:52.639
<v Speaker 2>suggest and buy a concert ticket.

123
00:06:53.519 --> 00:06:57.480
<v Speaker 1>Oh that's great. So it's literally for music fans, but

124
00:06:57.639 --> 00:06:59.879
<v Speaker 1>also for someone who's not a music fan to really

125
00:07:00.079 --> 00:07:03.920
<v Speaker 1>get to know somebody's psyche by asking, by looking, you

126
00:07:03.920 --> 00:07:05.759
<v Speaker 1>can actually go into their Spotify and see what they're

127
00:07:05.759 --> 00:07:06.199
<v Speaker 1>listening to.

128
00:07:08.079 --> 00:07:11.040
<v Speaker 2>Yeah. Absolutely, you can see, you know, all of their

129
00:07:11.680 --> 00:07:13.639
<v Speaker 2>songs that they've been listening to, and you can actually

130
00:07:14.160 --> 00:07:16.839
<v Speaker 2>push play and listen to the music as well.

131
00:07:17.639 --> 00:07:20.319
<v Speaker 1>This is fascinating. I love it all right, Rachel. When

132
00:07:20.319 --> 00:07:22.360
<v Speaker 1>we come back, there's another subject I want to talk about,

133
00:07:22.639 --> 00:07:27.720
<v Speaker 1>which is how artificial intelligence is reshaping the online dating experience.

134
00:07:27.759 --> 00:07:30.560
<v Speaker 1>Hopefully it's reducing the swiping because my thumb is nearly

135
00:07:30.600 --> 00:07:34.319
<v Speaker 1>broken from back in the day. But let's have you

136
00:07:34.360 --> 00:07:37.360
<v Speaker 1>weigh in on that. My guest is Rachel van Nortwick,

137
00:07:37.759 --> 00:07:41.160
<v Speaker 1>founder of Vinyally. It's spelled Vias and Victor. I n

138
00:07:41.279 --> 00:07:44.720
<v Speaker 1>why l l y Vinyally like finally, finally I met

139
00:07:44.759 --> 00:07:47.360
<v Speaker 1>the one on vinyly. I love it. It's a dating

140
00:07:47.360 --> 00:07:51.560
<v Speaker 1>app that matches people based on music compatibility. All right,

141
00:07:51.920 --> 00:07:59.199
<v Speaker 1>let's talk about AI. How can AI change dating experience?

142
00:07:59.439 --> 00:08:02.279
<v Speaker 1>How start at the beginning? How can it reduce ghosting?

143
00:08:05.000 --> 00:08:08.240
<v Speaker 2>Well, that's a great place to start. So there's a

144
00:08:08.240 --> 00:08:12.680
<v Speaker 2>lot of uses for AI, of course within dating apps,

145
00:08:12.680 --> 00:08:16.120
<v Speaker 2>but one of the most important ones is for you know,

146
00:08:16.360 --> 00:08:20.839
<v Speaker 2>the dating app developers to implement AI, uh, you know,

147
00:08:21.000 --> 00:08:28.800
<v Speaker 2>for you know, prevention of ghosting, of bots, of cat fishing, like,

148
00:08:28.839 --> 00:08:30.959
<v Speaker 2>there's just that there's a lot of ways that they

149
00:08:30.959 --> 00:08:36.480
<v Speaker 2>can implement you know, AI to to protect people, uh

150
00:08:36.600 --> 00:08:40.559
<v Speaker 2>from you know, people that aren't actually on the app

151
00:08:40.600 --> 00:08:43.399
<v Speaker 2>to try to meet someone. Now I'm saying that from

152
00:08:43.440 --> 00:08:46.639
<v Speaker 2>just uh, you know, that's a ghosting. That's you know,

153
00:08:47.679 --> 00:08:51.200
<v Speaker 2>built by uh, you know, a bot, not by you know,

154
00:08:51.320 --> 00:08:53.720
<v Speaker 2>it's not ghosting of somebody who you're just chatting with

155
00:08:53.799 --> 00:08:55.960
<v Speaker 2>and then they decide not to talk to you anymore.

156
00:08:56.039 --> 00:08:58.240
<v Speaker 2>So there's there's ways that you know, we can be

157
00:08:58.279 --> 00:09:02.279
<v Speaker 2>responsible as developers. Then in terms of ghosting, listen, it's

158
00:09:03.200 --> 00:09:06.039
<v Speaker 2>it's tough. You know, it's tough out there when you're

159
00:09:06.080 --> 00:09:08.519
<v Speaker 2>talking to somebody and then all of a sudden, you know,

160
00:09:09.480 --> 00:09:11.200
<v Speaker 2>the line just goes cold.

161
00:09:12.279 --> 00:09:15.279
<v Speaker 1>I think heart breaking, heartbreaking when someone just and I

162
00:09:15.279 --> 00:09:19.240
<v Speaker 1>always say to people, you know, if somebody doesn't have

163
00:09:19.720 --> 00:09:23.279
<v Speaker 1>the relationship skills or the communication skills to say, hey,

164
00:09:23.320 --> 00:09:25.799
<v Speaker 1>it was lovely chatting with you, I don't think romance

165
00:09:25.840 --> 00:09:27.799
<v Speaker 1>is in the cards for us. But you know, good

166
00:09:27.879 --> 00:09:30.080
<v Speaker 1>luck in the future. If they don't even have that

167
00:09:30.240 --> 00:09:33.879
<v Speaker 1>basic skill to say goodbye in a polite way, then

168
00:09:34.080 --> 00:09:37.200
<v Speaker 1>you are saved from them in a relationship. Thank good

169
00:09:37.279 --> 00:09:38.480
<v Speaker 1>goodness they ghosted.

170
00:09:40.240 --> 00:09:40.720
<v Speaker 3>Because yes.

171
00:09:40.840 --> 00:09:46.600
<v Speaker 1>Now, so, first of all, is artificial intelligence being used

172
00:09:46.679 --> 00:09:48.840
<v Speaker 1>yet in the dating apps?

173
00:09:49.759 --> 00:09:52.720
<v Speaker 2>Yeah, so we were the first actually to uh, you know,

174
00:09:53.200 --> 00:09:55.519
<v Speaker 2>go out with AI in the app, and so we

175
00:09:55.600 --> 00:09:58.399
<v Speaker 2>decided to do it in a fun way we use

176
00:09:58.480 --> 00:10:03.919
<v Speaker 2>AI to let users replicate like buying drinks in real life,

177
00:10:04.080 --> 00:10:06.279
<v Speaker 2>but in the app you get to blend you know,

178
00:10:06.360 --> 00:10:08.720
<v Speaker 2>your genres that you like as well as the matches

179
00:10:08.799 --> 00:10:13.080
<v Speaker 2>genres and create like a bespoke cocktail and it's fun.

180
00:10:13.120 --> 00:10:16.080
<v Speaker 2>You can send it. It's actually like a complete recipe

181
00:10:16.559 --> 00:10:19.159
<v Speaker 2>with instructions and you can then also, you know, if

182
00:10:19.159 --> 00:10:22.000
<v Speaker 2>you went on a first date, make that in real life.

183
00:10:22.000 --> 00:10:24.480
<v Speaker 2>So we used it, you know, for for fun. But

184
00:10:25.159 --> 00:10:28.360
<v Speaker 2>there's also ways that you know, we're implementing a I

185
00:10:28.559 --> 00:10:31.080
<v Speaker 2>on that will be rolling out that other dating apps

186
00:10:31.159 --> 00:10:34.440
<v Speaker 2>used too, which is just helping, you know, helping with

187
00:10:34.519 --> 00:10:37.360
<v Speaker 2>your matches. Right, so you know, we think that we're

188
00:10:37.399 --> 00:10:41.519
<v Speaker 2>good at, you know, identifying who would be a match

189
00:10:41.559 --> 00:10:44.000
<v Speaker 2>for us based on swiping or on our app. You know,

190
00:10:44.039 --> 00:10:47.159
<v Speaker 2>it's going through the matches and pushing play. However, there's

191
00:10:47.200 --> 00:10:51.360
<v Speaker 2>sometimes when actually, you know, AI can be helpful and

192
00:10:51.600 --> 00:10:54.639
<v Speaker 2>provide matches to you that you may have overlooked but

193
00:10:54.919 --> 00:10:58.960
<v Speaker 2>that actually proven over a larger database would prove out

194
00:10:59.000 --> 00:11:00.559
<v Speaker 2>to be a good mesh for you.

195
00:11:00.960 --> 00:11:03.519
<v Speaker 1>So they're basically like your mother telling you this is

196
00:11:03.559 --> 00:11:04.639
<v Speaker 1>the person you should date.

197
00:11:08.000 --> 00:11:10.360
<v Speaker 2>I guess. How about like your best friend with that.

198
00:11:11.799 --> 00:11:16.399
<v Speaker 1>So basically the algorithms, you know, I sort of joke

199
00:11:16.480 --> 00:11:20.440
<v Speaker 1>sometimes that TikTok algorithm is so good that it knows

200
00:11:20.480 --> 00:11:23.399
<v Speaker 1>your soul, right, I mean, it's probably listening to our

201
00:11:23.480 --> 00:11:26.240
<v Speaker 1>conversation right now, it's listening to everything, and then it

202
00:11:26.240 --> 00:11:29.039
<v Speaker 1>provides you exactly the videos that you need to help

203
00:11:29.080 --> 00:11:32.799
<v Speaker 1>yourself at that moment. So you're saying, artificial intelligence and

204
00:11:32.919 --> 00:11:36.519
<v Speaker 1>dating apps can figure out really who you are and

205
00:11:36.600 --> 00:11:38.679
<v Speaker 1>what you need and be able to provide the right

206
00:11:38.720 --> 00:11:39.639
<v Speaker 1>people for you.

207
00:11:41.960 --> 00:11:43.960
<v Speaker 2>It can help. I think it's you know, listen, I

208
00:11:43.960 --> 00:11:51.159
<v Speaker 2>think there is still very much a human effort that

209
00:11:51.600 --> 00:11:55.519
<v Speaker 2>you know, we shouldn't try to actually you know, go

210
00:11:55.639 --> 00:11:58.240
<v Speaker 2>away from right. So it's important that you know, I

211
00:11:58.399 --> 00:12:02.080
<v Speaker 2>feel or a user feels like they have control over

212
00:12:02.279 --> 00:12:06.279
<v Speaker 2>their matches. But where it can be helpful is, you know,

213
00:12:06.799 --> 00:12:09.000
<v Speaker 2>I can't or we can't see across you know, the

214
00:12:09.039 --> 00:12:12.519
<v Speaker 2>rest of the people on the app to understand where

215
00:12:12.720 --> 00:12:15.879
<v Speaker 2>maybe you know, a better match might be. But that's

216
00:12:15.919 --> 00:12:18.919
<v Speaker 2>how AI can can be helpful. So I think use

217
00:12:18.960 --> 00:12:21.279
<v Speaker 2>the right way. It's a great addition, but I think

218
00:12:21.320 --> 00:12:23.720
<v Speaker 2>it's still important for users to feel like they have

219
00:12:23.799 --> 00:12:26.519
<v Speaker 2>control over their actions on the app.

220
00:12:26.919 --> 00:12:29.240
<v Speaker 1>So I always say that finding a good mate is

221
00:12:29.279 --> 00:12:33.399
<v Speaker 1>partly biological, being physically attracted to somebody, having the right

222
00:12:33.440 --> 00:12:39.399
<v Speaker 1>pheromones to have good compatibility biologically, then psychologically having a

223
00:12:39.480 --> 00:12:42.639
<v Speaker 1>good attachment style to be able to form a secure attachment.

224
00:12:42.919 --> 00:12:45.279
<v Speaker 1>And then there's the social and the dating apps have

225
00:12:45.320 --> 00:12:48.559
<v Speaker 1>done the social really well. You know, the income, the

226
00:12:48.679 --> 00:12:52.080
<v Speaker 1>zip code, the geographics, you know what somebody does for

227
00:12:52.120 --> 00:12:54.840
<v Speaker 1>a living, whether they're what they eat, whether they're vegan

228
00:12:54.919 --> 00:12:58.279
<v Speaker 1>or carnivore, what their politics are. The social piece. I

229
00:12:58.320 --> 00:13:00.519
<v Speaker 1>find the dating apps has done a really good job

230
00:13:00.559 --> 00:13:04.639
<v Speaker 1>at can a I work in those other areas psychological

231
00:13:04.679 --> 00:13:06.240
<v Speaker 1>and biological.

232
00:13:08.000 --> 00:13:11.240
<v Speaker 2>I think so, I think that there are opportunities for

233
00:13:11.440 --> 00:13:16.480
<v Speaker 2>it to be implemented responsibly. I think that you know,

234
00:13:16.600 --> 00:13:19.320
<v Speaker 2>AI can tell us things about ourselves that maybe we

235
00:13:19.639 --> 00:13:24.960
<v Speaker 2>aren't actually either aware of or you know, don't lead with.

236
00:13:25.360 --> 00:13:28.320
<v Speaker 2>So I think you know, whether you're on a dating

237
00:13:28.360 --> 00:13:30.919
<v Speaker 2>app or in real life. My advice always is to

238
00:13:31.039 --> 00:13:35.639
<v Speaker 2>date intentionally. Make sure that you know you know what's

239
00:13:35.679 --> 00:13:39.759
<v Speaker 2>important to you, don't waiver. It's easy sometimes if you've

240
00:13:39.759 --> 00:13:41.639
<v Speaker 2>been on dating apps for a long time and you

241
00:13:41.679 --> 00:13:44.600
<v Speaker 2>meet someone and they don't quite say all of your characteristics,

242
00:13:44.600 --> 00:13:47.879
<v Speaker 2>but you're just so you know, you're just trying to

243
00:13:47.919 --> 00:13:51.840
<v Speaker 2>meet someone that you kind of compromise. It's not worth it.

244
00:13:52.240 --> 00:13:55.919
<v Speaker 2>And so I think, you know, AI can kind kind

245
00:13:55.960 --> 00:13:58.799
<v Speaker 2>of you know, be a north star and provide you

246
00:13:59.080 --> 00:14:01.320
<v Speaker 2>with you know, the these are the types of matches

247
00:14:01.360 --> 00:14:03.960
<v Speaker 2>you should go for based on you telling us you know,

248
00:14:04.000 --> 00:14:05.919
<v Speaker 2>this is what you want. And I would say that's

249
00:14:05.960 --> 00:14:08.480
<v Speaker 2>a great that's a great guide. But it's just something

250
00:14:08.480 --> 00:14:09.960
<v Speaker 2>for us to I'll be conscious of.

251
00:14:10.279 --> 00:14:12.679
<v Speaker 1>You know, you talked about intentional dating, and I often

252
00:14:12.799 --> 00:14:17.480
<v Speaker 1>use a term rational love, meaning that if we allow

253
00:14:17.639 --> 00:14:20.639
<v Speaker 1>always our instincts. Now, some of us have great instincts.

254
00:14:20.639 --> 00:14:23.320
<v Speaker 1>We come from a healthy, happy family, We have a

255
00:14:23.320 --> 00:14:27.200
<v Speaker 1>secure attachment style. Trust our instincts, but they are another

256
00:14:27.440 --> 00:14:30.600
<v Speaker 1>you know, forty to fifty percent of the population who

257
00:14:30.639 --> 00:14:33.919
<v Speaker 1>have an anxious attachment style and avoidant attachment style, and

258
00:14:34.039 --> 00:14:38.039
<v Speaker 1>literally their attraction takes them right back to the scene

259
00:14:38.039 --> 00:14:40.559
<v Speaker 1>of the crime, the person who will actually hurt them.

260
00:14:41.039 --> 00:14:44.039
<v Speaker 1>And so we need to learn rational love, which is

261
00:14:44.200 --> 00:14:47.519
<v Speaker 1>intellectually this is what I need, and I'm going to

262
00:14:47.600 --> 00:14:52.200
<v Speaker 1>make myself choose this good person instead of this you

263
00:14:52.240 --> 00:14:54.480
<v Speaker 1>know what I perceive to be a high value mate

264
00:14:54.679 --> 00:14:56.679
<v Speaker 1>who's just going to be a player and hurt me

265
00:14:57.200 --> 00:15:00.320
<v Speaker 1>in some way. And I hope that AI I can

266
00:15:00.399 --> 00:15:04.000
<v Speaker 1>start to present that to people, and I bet ya.

267
00:15:04.440 --> 00:15:07.240
<v Speaker 1>So my theory is that AI is going to get

268
00:15:07.279 --> 00:15:11.159
<v Speaker 1>so good that they'll be able to actually predict people's

269
00:15:11.320 --> 00:15:14.840
<v Speaker 1>romantic attachment style based on frequency of texts, the kind

270
00:15:14.840 --> 00:15:17.759
<v Speaker 1>of words they use in the text, how long of

271
00:15:17.879 --> 00:15:20.960
<v Speaker 1>texts they write. It's very obvious to me when I

272
00:15:21.000 --> 00:15:24.840
<v Speaker 1>see people that it's so it's so obvious their attachment style.

273
00:15:24.879 --> 00:15:26.360
<v Speaker 1>So I bet you AI is going to figure it

274
00:15:26.399 --> 00:15:30.600
<v Speaker 1>out pretty soon too, which is cool. So Rachel that

275
00:15:30.679 --> 00:15:31.960
<v Speaker 1>where do people find vinyly.

276
00:15:33.919 --> 00:15:38.559
<v Speaker 2>So vinyally is available both on iOS and android. It's

277
00:15:38.600 --> 00:15:42.399
<v Speaker 2>also if you want more information, it's on vinyleapp dot

278
00:15:42.440 --> 00:15:46.200
<v Speaker 2>com and we are in the US, UK and Canada.

279
00:15:46.840 --> 00:15:49.720
<v Speaker 1>So whether you're a music fan or not, it sounds

280
00:15:49.759 --> 00:15:52.679
<v Speaker 1>like vinyly might be a new way and a fun way,

281
00:15:52.879 --> 00:15:55.399
<v Speaker 1>especially if you have an AI robot making you cocktails

282
00:15:56.200 --> 00:15:59.960
<v Speaker 1>to find a mate. Thank you so much for being

283
00:16:00.159 --> 00:16:03.879
<v Speaker 1>with us, Rachel Van Nortwick of the dating app Vinyally

284
00:16:03.960 --> 00:16:07.600
<v Speaker 1>that matches you based on music tastes you have been

285
00:16:07.639 --> 00:16:10.960
<v Speaker 1>listening to The Doctor Wendy Waalsh Show on KFI AM

286
00:16:11.039 --> 00:16:13.799
<v Speaker 1>six forty. I'm here for you every Sunday from seven

287
00:16:13.879 --> 00:16:16.639
<v Speaker 1>to nine. You can also find me all over the internet,

288
00:16:16.679 --> 00:16:18.919
<v Speaker 1>but come on to the social media. I'll see you

289
00:16:18.960 --> 00:16:22.559
<v Speaker 1>on Instagram at Dr Wendy Walsh. It's always my pleasure

290
00:16:22.600 --> 00:16:24.519
<v Speaker 1>to be with you. You've been listening to The Doctor

291
00:16:24.559 --> 00:16:28.799
<v Speaker 1>Wendy Walls Show on KFI AM six forty Live everywhere

292
00:16:28.799 --> 00:16:30.120
<v Speaker 1>on the iHeartRadio app.
