1
00:00:00,080 --> 00:00:04,120
Speaker 1: You ready for Scotty I'm ready Kurty B to Loaf

2
00:00:04,240 --> 00:00:04,680
Speaker 1: and Loaf and.

3
00:00:04,720 --> 00:00:11,719
Speaker 2: Laf, Japan's millennia Old Naked Man Festival ending because of

4
00:00:11,840 --> 00:00:13,240
Speaker 2: population decline.

5
00:00:14,080 --> 00:00:19,360
Speaker 1: No way, that's disappointing. Well, Kurty B and I are

6
00:00:19,360 --> 00:00:23,080
Speaker 1: going to let it all hang out. A very zany,

7
00:00:23,120 --> 00:00:26,759
Speaker 1: wacky and fun episode of The Bananas Podcast.

8
00:00:31,080 --> 00:00:42,080
Speaker 2: Still World, Would you midillion pieces? Would you?

9
00:00:46,000 --> 00:00:58,480
Speaker 3: Bana guys, goals, non binary pals, Welcome to yet another

10
00:00:58,600 --> 00:01:02,400
Speaker 3: episode of the ground Podcast Bananas.

11
00:01:02,920 --> 00:01:06,479
Speaker 1: I think we're in a fun mood today and I'm

12
00:01:06,520 --> 00:01:08,920
Speaker 1: all for it because I love having a good time

13
00:01:08,959 --> 00:01:12,200
Speaker 1: as much as anybody except that gentleman right there, the

14
00:01:12,200 --> 00:01:14,160
Speaker 1: one and only Kurt Brown Owler.

15
00:01:14,000 --> 00:01:18,840
Speaker 2: That's sitting across from me, Banana Boy number two, self

16
00:01:18,920 --> 00:01:20,600
Speaker 2: named Scottie Landis.

17
00:01:20,880 --> 00:01:24,640
Speaker 1: That's true. And international Bananamals, we have so many. We

18
00:01:24,760 --> 00:01:26,880
Speaker 1: just got a message from Spain. We got another message

19
00:01:26,880 --> 00:01:30,000
Speaker 1: from Germany. If you are listening to The Bananas Podcast

20
00:01:30,080 --> 00:01:32,080
Speaker 1: anywhere around the world, and maybe you've never said hi

21
00:01:32,160 --> 00:01:34,280
Speaker 1: to us before, and maybe you don't have Instagram, maybe

22
00:01:34,280 --> 00:01:36,479
Speaker 1: you do, you can always reach out to us at

23
00:01:36,560 --> 00:01:40,720
Speaker 1: the Bananas Podcast at gmail dot com or the Bananas

24
00:01:40,760 --> 00:01:44,240
Speaker 1: podcast on Instagram. Let me know where you are. I

25
00:01:44,280 --> 00:01:45,880
Speaker 1: want to know where people are. We had a lot

26
00:01:45,880 --> 00:01:48,360
Speaker 1: from Brazil, we have some in Finland, we have we

27
00:01:48,440 --> 00:01:51,040
Speaker 1: have Israel, we have everywhere. I just want to know

28
00:01:51,080 --> 00:01:53,360
Speaker 1: where you are. If you send me your address over

29
00:01:53,560 --> 00:01:56,680
Speaker 1: our Gmail, maybe I'll send you a postcard. I think

30
00:01:56,720 --> 00:01:58,680
Speaker 1: I'm going to make some Bananas postcards and just send

31
00:01:58,720 --> 00:02:02,280
Speaker 1: them Internet sho nice buddy. I want to reach out.

32
00:02:02,440 --> 00:02:05,000
Speaker 1: I like to know who's listening around this big wet

33
00:02:05,040 --> 00:02:06,680
Speaker 1: planet that we call Earth.

34
00:02:07,200 --> 00:02:10,839
Speaker 2: I just saw Scottie Landis in person, and I gave

35
00:02:10,960 --> 00:02:16,400
Speaker 2: him the poster most beautiful. I mean, this poster is

36
00:02:16,440 --> 00:02:19,960
Speaker 2: above and beyond it is Kurt Fierla, did it? Is

37
00:02:19,960 --> 00:02:20,560
Speaker 2: it Fearla?

38
00:02:21,440 --> 00:02:23,760
Speaker 1: I don't know him, but I know that I'm gonna

39
00:02:23,800 --> 00:02:29,360
Speaker 1: work with this dude forever because it's beautiful. Thank you

40
00:02:29,400 --> 00:02:30,920
Speaker 1: for that wonderful gift.

41
00:02:31,280 --> 00:02:34,640
Speaker 2: Yeah, Kurt fear It is Kurt Fieler who designed our

42
00:02:34,680 --> 00:02:38,360
Speaker 2: new poster for a new tour poster. And guys, these

43
00:02:38,440 --> 00:02:41,040
Speaker 2: are these posters are going to be for sale at

44
00:02:41,160 --> 00:02:47,400
Speaker 2: all of our shows this year, which so far is Seattle, Portland, Chicago, Madison, Minneapolis,

45
00:02:48,880 --> 00:02:51,720
Speaker 2: And I just found a really nice printer for them

46
00:02:51,800 --> 00:02:55,639
Speaker 2: on really nice stock. It's gonna look good. I'm very

47
00:02:55,680 --> 00:02:56,639
Speaker 2: excited about it.

48
00:02:57,160 --> 00:02:59,359
Speaker 1: We'll sign them, we'll say hey after the shows. That's

49
00:02:59,400 --> 00:02:59,880
Speaker 1: what we do.

50
00:03:00,080 --> 00:03:03,519
Speaker 2: That's the very interactive, that's the whole point of the podcast,

51
00:03:03,639 --> 00:03:04,679
Speaker 2: hanging out.

52
00:03:05,120 --> 00:03:08,960
Speaker 1: High fives, low fives. I with all the rain we've

53
00:03:09,000 --> 00:03:11,280
Speaker 1: had in La, I'm like, I gotta take advantage of

54
00:03:11,320 --> 00:03:14,840
Speaker 1: this somehow. So I bought a packet of big Max pumpkins,

55
00:03:14,880 --> 00:03:17,040
Speaker 1: which are one of the biggest breeds of pumpkins. They

56
00:03:17,080 --> 00:03:20,040
Speaker 1: grow up to three hundred pounds. And I was just

57
00:03:20,120 --> 00:03:24,000
Speaker 1: wandering around, throwing them across the street in like near

58
00:03:24,040 --> 00:03:27,320
Speaker 1: my mailbox on the hillside, everywhere I could. And now

59
00:03:27,400 --> 00:03:31,240
Speaker 1: I've forgotten where I think I planed twelve seeds. I

60
00:03:31,280 --> 00:03:33,840
Speaker 1: think I've forgotten where nine of the twelve giant pumpkins

61
00:03:33,840 --> 00:03:36,360
Speaker 1: are gonna be. So I just can't wait. I'm gonna

62
00:03:36,400 --> 00:03:39,800
Speaker 1: keep it updated. I'm gonna post on Instagram. Once they

63
00:03:39,880 --> 00:03:44,680
Speaker 1: weigh one hundred pounds, I'm gonna celebrate it. I'm gonna

64
00:03:44,680 --> 00:03:47,800
Speaker 1: give one to your kids for Halloween to paint, and

65
00:03:47,840 --> 00:03:49,800
Speaker 1: then I'll haul it away. I won't leave it over

66
00:03:49,800 --> 00:03:50,440
Speaker 1: at your place.

67
00:03:50,560 --> 00:03:54,480
Speaker 2: Oh my god, I mean I have no idea. I

68
00:03:54,520 --> 00:03:57,440
Speaker 2: have no I mean you'd have to. Yeah, that's such

69
00:03:57,480 --> 00:04:01,480
Speaker 2: a question. If a pumpkin, if pumpkins are will they

70
00:04:01,520 --> 00:04:04,160
Speaker 2: grow in southern California. I have no idea ever know, Well,

71
00:04:04,160 --> 00:04:05,680
Speaker 2: never know. I mean we will know soon.

72
00:04:05,840 --> 00:04:08,720
Speaker 1: Oh we will know, yes, right, we will know very soon.

73
00:04:08,720 --> 00:04:10,760
Speaker 1: But I'm excited, Big Max. I'm gonna name them all,

74
00:04:10,920 --> 00:04:13,560
Speaker 1: going to name all of them. Just yeah. Maybe I'll

75
00:04:13,560 --> 00:04:16,000
Speaker 1: start throw on Instagram for those buddies. We'll see if

76
00:04:16,040 --> 00:04:16,920
Speaker 1: anything even.

77
00:04:16,720 --> 00:04:18,680
Speaker 2: Sprouts wild, Big Max.

78
00:04:19,320 --> 00:04:21,760
Speaker 1: This is just looking forward in twenty twenty four. We're

79
00:04:21,800 --> 00:04:22,360
Speaker 1: looking forward.

80
00:04:22,400 --> 00:04:25,680
Speaker 2: We're looking forward, folks. I want to hear about it. Scotty.

81
00:04:26,120 --> 00:04:29,559
Speaker 1: Yeah, this sounds fun and I'm bommed it's going away.

82
00:04:29,760 --> 00:04:32,680
Speaker 2: Well, there's a lot of information we would have done it.

83
00:04:33,080 --> 00:04:36,520
Speaker 2: This was sent in by two people like seconds away

84
00:04:36,520 --> 00:04:38,520
Speaker 2: from each other, so I'm giving them both a shout out.

85
00:04:38,600 --> 00:04:40,880
Speaker 2: Kate Awake and Derek Clark.

86
00:04:41,200 --> 00:04:42,960
Speaker 1: They Kate and Derek.

87
00:04:43,200 --> 00:04:47,440
Speaker 2: They sent it in on our Instagram, The Bananas Podcast.

88
00:04:47,279 --> 00:04:50,880
Speaker 1: The Bananas Podcast or bananas podcast dot com.

89
00:04:50,920 --> 00:04:54,520
Speaker 2: This was in CNN That's real Ish, written by Chris

90
00:04:54,600 --> 00:04:57,880
Speaker 2: Lao and Hamari semens.

91
00:04:57,640 --> 00:05:02,800
Speaker 1: Those two together, not Lao semens. That does a body

92
00:05:02,839 --> 00:05:04,799
Speaker 1: good best in the biz.

93
00:05:04,880 --> 00:05:08,880
Speaker 2: In near freezing water temperatures and wearing nothing but white loincloths,

94
00:05:09,520 --> 00:05:12,279
Speaker 2: throngs of men wrestle one another in a bid to

95
00:05:12,320 --> 00:05:17,640
Speaker 2: claim a talisman during Japan's so Mansai Festival, more famously

96
00:05:17,680 --> 00:05:21,760
Speaker 2: known as the Naked Man Festival. I know, it's crazy.

97
00:05:21,760 --> 00:05:25,200
Speaker 2: The photo is insane. They're they're all really going crazy.

98
00:05:26,560 --> 00:05:31,039
Speaker 2: They're teeny tiny. These these thongs are teeny tiny that

99
00:05:31,040 --> 00:05:31,520
Speaker 2: they're wearing.

100
00:05:31,640 --> 00:05:33,320
Speaker 1: See, I see they are.

101
00:05:33,160 --> 00:05:36,719
Speaker 2: Just they're cupping and then they're up the butt and uh,

102
00:05:36,839 --> 00:05:38,800
Speaker 2: it's it's it's they're definitely naked.

103
00:05:39,000 --> 00:05:41,120
Speaker 1: But the event the thong does, it's cupping and it's

104
00:05:41,200 --> 00:05:43,359
Speaker 1: up the butt. That's like the two main requirements for

105
00:05:43,440 --> 00:05:44,440
Speaker 1: a thong these days.

106
00:05:44,480 --> 00:05:47,480
Speaker 2: But the event, said to have run for over one

107
00:05:47,520 --> 00:05:53,920
Speaker 2: thousand years at the secluded Coco Sajiki Temple, was held

108
00:05:53,960 --> 00:05:57,080
Speaker 2: for the last time on Saturday, becoming the latest Japanese

109
00:05:57,120 --> 00:06:01,039
Speaker 2: tradition to fall victim to the country's aging population crisis.

110
00:06:02,160 --> 00:06:04,800
Speaker 2: In an online post, organizers of the festival conceded they

111
00:06:04,800 --> 00:06:08,320
Speaker 2: had been unable to find enough young participants to alleviate

112
00:06:08,360 --> 00:06:12,080
Speaker 2: the pressures placed on aging locals who are unable to

113
00:06:12,200 --> 00:06:16,000
Speaker 2: keep up with the demands of the ritual. The decision

114
00:06:16,040 --> 00:06:19,080
Speaker 2: is due to the aging of individuals. That's what Japan's

115
00:06:19,120 --> 00:06:21,680
Speaker 2: population has been in steady decline since its economic boom

116
00:06:21,760 --> 00:06:24,200
Speaker 2: the nineteen eighties, with a fertility rate of one point three,

117
00:06:24,680 --> 00:06:27,200
Speaker 2: far below the rate of two point one required to

118
00:06:27,279 --> 00:06:31,320
Speaker 2: maintain a stable population. Deaths have also outpaced births in

119
00:06:31,400 --> 00:06:33,680
Speaker 2: Japan for more than a decade, posing a growing problem

120
00:06:33,760 --> 00:06:36,320
Speaker 2: for leaders of the world's fourth largest economy. I did

121
00:06:36,320 --> 00:06:37,080
Speaker 2: not know bad.

122
00:06:37,400 --> 00:06:37,880
Speaker 1: Not bad.

123
00:06:37,960 --> 00:06:41,200
Speaker 2: They now face a ballooning elderly population and shrinking workforce,

124
00:06:41,240 --> 00:06:43,680
Speaker 2: and a challenged fund pensions and healthcare as demand for

125
00:06:43,720 --> 00:06:50,279
Speaker 2: the aging population surges. Oh, this is another thing. It

126
00:06:50,320 --> 00:06:52,800
Speaker 2: looks like they hop in a freezing cold lake and

127
00:06:52,839 --> 00:06:54,520
Speaker 2: pour water over themselves as well.

128
00:06:55,800 --> 00:06:58,440
Speaker 1: I mean, it sounds like a great time. We'll send

129
00:06:58,480 --> 00:06:59,440
Speaker 1: some people over there.

130
00:07:00,800 --> 00:07:03,679
Speaker 2: The Sulmansi Festival is one of three major naked man

131
00:07:03,920 --> 00:07:07,599
Speaker 2: or hadaka matsuri festivals held in the country. It took

132
00:07:07,640 --> 00:07:09,720
Speaker 2: place annually on the seventh day of the lunar New

133
00:07:09,800 --> 00:07:13,360
Speaker 2: Year at the Cocosujiki Temple in the northeastern prefecture of Iwaatee.

134
00:07:13,720 --> 00:07:15,400
Speaker 2: They're giving me a lot of words.

135
00:07:15,400 --> 00:07:16,440
Speaker 1: You're doing very well.

136
00:07:16,480 --> 00:07:19,480
Speaker 2: As popular among tourists wanting to catch a glimpse of

137
00:07:19,520 --> 00:07:21,600
Speaker 2: the ritual as it was among locals wishing for a

138
00:07:21,640 --> 00:07:26,160
Speaker 2: prosperous year ahead. Tracted an estimated three thousand visitors, which

139
00:07:26,200 --> 00:07:32,680
Speaker 2: is pretty great. But it's a celebration of a bountiful harvest, prosperity,

140
00:07:32,720 --> 00:07:35,760
Speaker 2: good health, and fertility. I love a tradition like this.

141
00:07:39,400 --> 00:07:44,840
Speaker 2: A fundo fundoshi and a pair of white sox called tabbies,

142
00:07:44,840 --> 00:07:48,840
Speaker 2: that's what they wear. They run into the Yama Chigawa

143
00:07:49,000 --> 00:07:51,960
Speaker 2: River to cleanse their body for preparation before they then

144
00:07:53,000 --> 00:07:56,560
Speaker 2: just kind of tussle. They're just naked tussling.

145
00:07:56,400 --> 00:07:58,840
Speaker 1: Just wrestling around like naked guys do.

146
00:07:59,680 --> 00:08:02,680
Speaker 2: And there's like a priest who's just like throwing out talismans,

147
00:08:02,680 --> 00:08:05,640
Speaker 2: and then they're just going crazy trying to get the talismans.

148
00:08:05,880 --> 00:08:08,680
Speaker 2: I love it now. I was wondering about it. I did

149
00:08:08,680 --> 00:08:14,280
Speaker 2: a little more digging, Scottie, thank goodness, because usually we're surface,

150
00:08:14,360 --> 00:08:15,280
Speaker 2: we're surface.

151
00:08:15,000 --> 00:08:16,120
Speaker 1: We never dig deep.

152
00:08:16,760 --> 00:08:19,280
Speaker 2: I dug a litt little bit deeper and.

153
00:08:19,200 --> 00:08:21,600
Speaker 1: I flew the leaves off the yard. We're looking at

154
00:08:21,640 --> 00:08:22,880
Speaker 1: the grass.

155
00:08:22,520 --> 00:08:27,000
Speaker 2: And I found this, So that was from February twentieth.

156
00:08:28,160 --> 00:08:31,200
Speaker 2: We go back to just January twenty fourth, and on

157
00:08:31,320 --> 00:08:35,760
Speaker 2: the Independent we have Japan allows women to participate in

158
00:08:35,880 --> 00:08:38,640
Speaker 2: Naked Man Festival for first time and it's one two

159
00:08:38,880 --> 00:08:44,760
Speaker 2: and fifty year history. Wow, surprise, surprise. They let ladies

160
00:08:44,800 --> 00:08:48,319
Speaker 2: in and then immediately and the festival.

161
00:08:48,760 --> 00:08:52,320
Speaker 1: Yeah, they're not canceling carnival, that's for sure. Mardi Gras

162
00:08:52,400 --> 00:08:53,479
Speaker 1: is not going anywhere.

163
00:08:54,200 --> 00:08:57,560
Speaker 2: This is such a crazy idea. And also this was

164
00:08:57,840 --> 00:09:02,400
Speaker 2: to be honest, to be fair is a different one.

165
00:09:04,160 --> 00:09:06,680
Speaker 2: This is at the Coney Maya Shrine. So it actually

166
00:09:06,679 --> 00:09:10,280
Speaker 2: went really well. But they, you know, the women do

167
00:09:10,360 --> 00:09:13,320
Speaker 2: not participate in the tussle where it's just like it's

168
00:09:13,520 --> 00:09:15,520
Speaker 2: I don't know, maybe like it looks like a couple

169
00:09:15,640 --> 00:09:20,240
Speaker 2: hundred men just like mosh pitting towards a talisman that's

170
00:09:20,280 --> 00:09:23,400
Speaker 2: thrown by a dude from a like a rafters. Oh yeah,

171
00:09:23,960 --> 00:09:25,560
Speaker 2: oh so they don't do that part. But they do

172
00:09:25,640 --> 00:09:27,840
Speaker 2: their own things where they like wrestle with each other.

173
00:09:28,880 --> 00:09:31,160
Speaker 2: And that's and that's what I say. If you're running

174
00:09:31,200 --> 00:09:34,760
Speaker 2: out of men to do something just allow women. Why

175
00:09:34,800 --> 00:09:38,679
Speaker 2: not allow women all the time. It's very crazy, I know.

176
00:09:38,800 --> 00:09:41,839
Speaker 1: I mean, I get also shocking that women would want

177
00:09:41,880 --> 00:09:43,040
Speaker 1: to even attend this event.

178
00:09:43,200 --> 00:09:48,160
Speaker 2: I'm sure there's not a lot. They're just like, I

179
00:09:48,200 --> 00:09:50,880
Speaker 2: don't need to naked tussle boys.

180
00:09:52,559 --> 00:09:56,360
Speaker 1: That's fun. I mean, that's a weird one. I mean,

181
00:09:56,400 --> 00:09:59,640
Speaker 1: I get it, but it's like, is the main thing? Also,

182
00:09:59,640 --> 00:10:02,040
Speaker 1: I'm gonna I just have to google this. Where are

183
00:10:02,080 --> 00:10:07,559
Speaker 1: people having more babies than elderly or dying? Who has

184
00:10:07,600 --> 00:10:10,000
Speaker 1: the highest birth rate in the world, Because I know

185
00:10:10,040 --> 00:10:12,480
Speaker 1: America is they're concerned. I know Japan's had it for

186
00:10:12,480 --> 00:10:14,840
Speaker 1: a long time, but I think China's concerned now too,

187
00:10:14,880 --> 00:10:16,760
Speaker 1: because everybody's only having one child.

188
00:10:16,920 --> 00:10:18,199
Speaker 2: Okay, it's Niger.

189
00:10:19,160 --> 00:10:19,960
Speaker 1: Niger's doing it.

190
00:10:20,040 --> 00:10:24,400
Speaker 2: Mm hmm. It is six point seven three children per woman.

191
00:10:24,720 --> 00:10:28,640
Speaker 2: Holy cow. What that's crazy because that means there's a

192
00:10:28,800 --> 00:10:30,800
Speaker 2: there's some women who don't have any children, so that

193
00:10:30,840 --> 00:10:35,920
Speaker 2: means most most women have more than six that seven children.

194
00:10:36,000 --> 00:10:37,400
Speaker 2: That's fucking crazy.

195
00:10:38,040 --> 00:10:41,240
Speaker 1: That would be cool. Who's next if African countries just

196
00:10:41,320 --> 00:10:44,679
Speaker 1: have the future workforce so they become the most dominant

197
00:10:44,960 --> 00:10:47,400
Speaker 1: economies in the world because they're the only ones that

198
00:10:47,480 --> 00:10:49,840
Speaker 1: have young people to I know, right, I don't know,

199
00:10:50,080 --> 00:10:51,440
Speaker 1: work for the robots or whatever.

200
00:10:51,640 --> 00:10:57,200
Speaker 2: South Korea has the world's lowest really Yeah, the three

201
00:10:57,200 --> 00:11:00,320
Speaker 2: countries with the lowest are interesting. It's they're all in Asia.

202
00:11:00,400 --> 00:11:03,320
Speaker 2: Hong Kong, Macaw, Singapore, South Korea and Taiwan have the

203
00:11:03,360 --> 00:11:05,240
Speaker 2: lowest low fertility.

204
00:11:06,720 --> 00:11:08,800
Speaker 1: I'm too dumb to know why all these things are

205
00:11:08,840 --> 00:11:11,119
Speaker 1: going on the way they are, but that is interesting.

206
00:11:11,360 --> 00:11:14,120
Speaker 2: Yeah, and all of the ones, the top four are

207
00:11:14,120 --> 00:11:17,760
Speaker 2: all in Africa, Niger, Angola, Benin, and Molly.

208
00:11:19,840 --> 00:11:22,000
Speaker 1: Interesting. Well, I mean, I guess this all kind of

209
00:11:22,000 --> 00:11:24,400
Speaker 1: makes sense. Like they have wet t shirt contests, or

210
00:11:24,440 --> 00:11:26,920
Speaker 1: they used to in the seventies and eighties and stuff

211
00:11:26,920 --> 00:11:30,880
Speaker 1: in every ski movie and beach bar on Pensacle of Beach.

212
00:11:31,120 --> 00:11:34,240
Speaker 1: But you never really get the old wet linen pants competition,

213
00:11:34,440 --> 00:11:38,679
Speaker 1: you know, that never really took off. Nobody really showed

214
00:11:38,720 --> 00:11:39,440
Speaker 1: up for that one.

215
00:11:40,400 --> 00:11:43,400
Speaker 2: I do appreciate that they have it in Japan. Speaking

216
00:11:43,440 --> 00:11:47,000
Speaker 2: of which, Scotty, I happen to have been doing. See

217
00:11:48,240 --> 00:11:51,839
Speaker 2: I'm agentlests currently, so I'm booking all my own touring.

218
00:11:51,760 --> 00:11:52,600
Speaker 1: Doing some meetings.

219
00:11:52,679 --> 00:11:55,840
Speaker 2: Oh okay, yeah, yeah, And I kind of love it.

220
00:11:55,920 --> 00:11:58,080
Speaker 2: I kind of love just being like, this is the weekend.

221
00:11:58,120 --> 00:12:00,520
Speaker 2: I want to do something, and then just like where,

222
00:12:00,320 --> 00:12:02,559
Speaker 2: what where do I want to go? I like looking

223
00:12:02,559 --> 00:12:06,280
Speaker 2: around as opposed to just like taking kind of what's offered. Yeah,

224
00:12:07,320 --> 00:12:10,920
Speaker 2: and so I found there is a comedy club in

225
00:12:11,080 --> 00:12:15,199
Speaker 2: Key West. I have put an email in asking about it,

226
00:12:15,200 --> 00:12:18,079
Speaker 2: because I figure, if we're going to play anywhere in Florida,

227
00:12:18,559 --> 00:12:19,800
Speaker 2: it's got to be Key West.

228
00:12:19,880 --> 00:12:23,000
Speaker 1: I don't know answers, Yes, yes.

229
00:12:22,840 --> 00:12:24,960
Speaker 2: I know, I know you are. I was talking to

230
00:12:25,000 --> 00:12:27,440
Speaker 2: my friend Bobby about this and look at my thing.

231
00:12:27,480 --> 00:12:28,560
Speaker 2: Oh my god, that's crazy.

232
00:12:29,640 --> 00:12:30,480
Speaker 1: I don't know what I did.

233
00:12:30,640 --> 00:12:32,319
Speaker 2: What did you do? Why does it?

234
00:12:32,920 --> 00:12:35,400
Speaker 1: Double thumbs up? And I just got on my zoom.

235
00:12:35,440 --> 00:12:40,360
Speaker 2: It just went full fireworks, box full fireworks behind him?

236
00:12:41,240 --> 00:12:42,880
Speaker 2: Do it again, duke, double thumbs up.

237
00:12:43,320 --> 00:12:46,480
Speaker 1: All right, I'm in, I'm in. Yeah. Oh it's not working.

238
00:12:47,679 --> 00:12:50,120
Speaker 1: Listening people like doing their dishes, are like, I don't

239
00:12:50,160 --> 00:12:53,400
Speaker 1: like this podcast anymore. They're talking about what the dumb

240
00:12:53,480 --> 00:12:58,160
Speaker 1: one is seeing Key West? Love Key West? What a

241
00:12:58,400 --> 00:13:02,640
Speaker 1: cross section of these grand states that used to be

242
00:13:02,760 --> 00:13:09,960
Speaker 1: united right gay men, drag queens, harley riders, hardcore far

243
00:13:10,080 --> 00:13:14,760
Speaker 1: right wing nuts everybody just getting together to trick Margarita's

244
00:13:15,200 --> 00:13:18,360
Speaker 1: watch dogs, walk on trappees, and drive golf carts drunk.

245
00:13:18,559 --> 00:13:24,760
Speaker 1: It's perfect and great brunches, really good brunches down there, dude.

246
00:13:24,760 --> 00:13:26,760
Speaker 1: The answer is yes, let's get a drag queen as

247
00:13:26,800 --> 00:13:28,440
Speaker 1: our guest. Let's do it.

248
00:13:29,000 --> 00:13:32,800
Speaker 2: Yeah, right, Holy, I would love to do that. Speaking

249
00:13:32,840 --> 00:13:35,120
Speaker 2: of you just mentioned, first off, my friend Bobby was

250
00:13:35,120 --> 00:13:36,600
Speaker 2: like I told him the idea and he was just

251
00:13:36,640 --> 00:13:38,439
Speaker 2: like and I was like, this would be perfect for

252
00:13:38,480 --> 00:13:41,560
Speaker 2: Ben and he's He's like Scottie Landis is Key West

253
00:13:41,600 --> 00:13:42,319
Speaker 2: as a person?

254
00:13:43,000 --> 00:13:46,800
Speaker 1: Correct? That is true? So I was, well, except for

255
00:13:46,840 --> 00:13:49,960
Speaker 1: the wing nut part, everything else we all paint with

256
00:13:49,960 --> 00:13:50,800
Speaker 1: a lot of color.

257
00:13:50,720 --> 00:13:53,960
Speaker 2: Have you So? Speaking of Key West is like a perfect,

258
00:13:54,440 --> 00:13:58,560
Speaker 2: like kind of microcosm of America. Did you see on

259
00:13:58,640 --> 00:14:03,320
Speaker 2: the Grammys when Luke Colembs and Tracy Chapman sung sang

260
00:14:03,400 --> 00:14:04,320
Speaker 2: Fast Car together.

261
00:14:04,520 --> 00:14:06,520
Speaker 1: I saw that clip, Yes, I did. I didn't watch

262
00:14:06,559 --> 00:14:08,200
Speaker 1: the Grammys, but I saw that. I watched it.

263
00:14:08,240 --> 00:14:11,720
Speaker 2: I just watched that specific clip. First off, it was beautiful.

264
00:14:11,800 --> 00:14:13,199
Speaker 1: Yeah, I wanted to cry exactly.

265
00:14:13,280 --> 00:14:14,160
Speaker 2: I wanted to cry too.

266
00:14:14,320 --> 00:14:15,719
Speaker 1: It was like so emotional.

267
00:14:15,840 --> 00:14:20,000
Speaker 2: Also, when you're watching it. You're like this, this is

268
00:14:20,400 --> 00:14:27,240
Speaker 2: why America fucks, Like this is why America is awesome. Like, yeah,

269
00:14:27,280 --> 00:14:28,640
Speaker 2: do you know what I mean? The fact that this

270
00:14:28,800 --> 00:14:31,640
Speaker 2: song that was written whatever thirty years ago by a

271
00:14:31,680 --> 00:14:34,440
Speaker 2: black lesbian could then be taken up by a white

272
00:14:34,440 --> 00:14:37,560
Speaker 2: country singer and and then that they could do it

273
00:14:37,600 --> 00:14:41,440
Speaker 2: together and like that there that their experiences like meshed

274
00:14:41,600 --> 00:14:45,040
Speaker 2: so well together and they understood each other. It was

275
00:14:45,360 --> 00:14:47,920
Speaker 2: It was amazing. I was like, this is cool. And

276
00:14:48,040 --> 00:14:50,280
Speaker 2: I think he did a good job of like giving her.

277
00:14:50,680 --> 00:14:53,000
Speaker 1: Like he did at the end. He made it very

278
00:14:53,080 --> 00:14:55,960
Speaker 1: much that she wrote that beautiful song. Also, she gets paid.

279
00:14:56,360 --> 00:14:59,240
Speaker 1: She gets so paid, she's gonna make more money than

280
00:14:59,320 --> 00:14:59,760
Speaker 1: him on this.

281
00:15:00,080 --> 00:15:01,760
Speaker 2: But there's kids who don't even know that that was

282
00:15:01,800 --> 00:15:02,840
Speaker 2: her song to begin with.

283
00:15:03,440 --> 00:15:06,880
Speaker 1: Of course, not children don't know anything. I didn't know anything.

284
00:15:06,920 --> 00:15:09,360
Speaker 1: I thought Paul Newman made salad dressing. You know, you

285
00:15:09,400 --> 00:15:12,360
Speaker 1: get older, you learn things as you go. Also, every

286
00:15:12,360 --> 00:15:16,440
Speaker 1: time I hear that hurt the Tracy Chapman version. Yeah,

287
00:15:16,480 --> 00:15:19,040
Speaker 1: there was a hip hop song called sometimes I Rhyme

288
00:15:19,080 --> 00:15:21,560
Speaker 1: slow by nice and smooth, And every time it starts,

289
00:15:21,560 --> 00:15:23,680
Speaker 1: I'm like, oh, I hope it's nice and smooth and

290
00:15:23,720 --> 00:15:27,200
Speaker 1: then now I'm just pumped for Tracy to get paid.

291
00:15:27,320 --> 00:15:31,640
Speaker 2: Yes, exactly. Anyway that made me think of that.

292
00:15:32,240 --> 00:15:34,840
Speaker 1: Yeah, that's true. Well I'm down. I would love to

293
00:15:34,880 --> 00:15:38,560
Speaker 1: do a Key West show. That sounds so fun. And

294
00:15:38,640 --> 00:15:42,000
Speaker 1: yeah it's Florida. Like I always say, it's a fun

295
00:15:42,040 --> 00:15:47,280
Speaker 1: house inside of a haunted house. Either way, if we

296
00:15:47,360 --> 00:15:50,080
Speaker 1: go northeast. Here's a real quickie. This is a little

297
00:15:50,080 --> 00:15:54,480
Speaker 1: bite sized story sent in by Robert Woodbury, who sent

298
00:15:54,600 --> 00:15:56,520
Speaker 1: us in a lot of good stories. Thank you Robert.

299
00:15:56,560 --> 00:16:01,359
Speaker 1: This is for our main bananimals, maybe our Vermont possibly

300
00:16:01,600 --> 00:16:06,040
Speaker 1: are Massachusetts ones. This was on ninety five point seven

301
00:16:06,240 --> 00:16:10,000
Speaker 1: FM and Jason Stewart wrote this. He's asking the big

302
00:16:10,080 --> 00:16:15,120
Speaker 1: question is the pine tree on the new main license plate?

303
00:16:15,440 --> 00:16:16,800
Speaker 1: Flipping us the bird?

304
00:16:17,480 --> 00:16:20,040
Speaker 2: Jason, that is why you are the best in the busy,

305
00:16:20,120 --> 00:16:23,280
Speaker 2: asked the big questions, and we need to know tell

306
00:16:23,320 --> 00:16:25,000
Speaker 2: me any Maine.

307
00:16:25,000 --> 00:16:26,720
Speaker 1: Well I don't know. I don't live in Maine, but

308
00:16:26,800 --> 00:16:29,960
Speaker 1: if we have, I know, like Zephyr shaved Ice that

309
00:16:29,960 --> 00:16:32,680
Speaker 1: that they are friends. They make the bananimals shaved Dice

310
00:16:32,760 --> 00:16:35,720
Speaker 1: up there. If you live in Maine and you have

311
00:16:35,840 --> 00:16:39,240
Speaker 1: a new license plate, take a photo and send it

312
00:16:39,280 --> 00:16:40,920
Speaker 1: to us. You don't have to show us all you

313
00:16:40,960 --> 00:16:42,760
Speaker 1: know your if it's a vanity plate, you want us

314
00:16:42,760 --> 00:16:45,160
Speaker 1: to laugh and laf and loaf, send it. But we

315
00:16:45,280 --> 00:16:48,640
Speaker 1: want to know. Is the pine tree on the main

316
00:16:48,760 --> 00:16:52,680
Speaker 1: license plate flipping us the bird? I I hope so.

317
00:16:53,960 --> 00:16:56,240
Speaker 1: And apparently this isn't the first time something like this

318
00:16:56,280 --> 00:16:59,160
Speaker 1: has happened. A few years ago, there's a Paul Bunyan

319
00:16:59,240 --> 00:17:02,720
Speaker 1: statue on Main Street and Bangor, Maine, and it looked

320
00:17:02,720 --> 00:17:05,520
Speaker 1: like it was flipping you the bird. So maybe maybe

321
00:17:05,600 --> 00:17:08,960
Speaker 1: Main isn't always up to sweetnesses.

322
00:17:09,000 --> 00:17:11,800
Speaker 2: All Right, I'm trying, I'm looking. I'm looking. I'm trying

323
00:17:11,800 --> 00:17:13,840
Speaker 2: to see where would it.

324
00:17:13,800 --> 00:17:16,240
Speaker 1: Be a new one? It says at the very tippy top,

325
00:17:16,359 --> 00:17:20,400
Speaker 1: it's oh yeah, I think complete disregard your feelings, like saying, hey,

326
00:17:20,480 --> 00:17:22,199
Speaker 1: I'm here, and there ain't one single thing you can

327
00:17:22,240 --> 00:17:24,639
Speaker 1: do about it, Kurt, what's your vote? Middle finger?

328
00:17:25,359 --> 00:17:27,919
Speaker 2: I gotta get closer, I gotta get closer. Everything is

329
00:17:27,960 --> 00:17:31,880
Speaker 2: like it's so far away. Oh, you can get one

330
00:17:31,880 --> 00:17:33,640
Speaker 2: without the tree?

331
00:17:33,880 --> 00:17:36,560
Speaker 1: Well, who would do that? Some bonehead maneuver.

332
00:17:37,440 --> 00:17:41,879
Speaker 2: It looks a lot like a middle finger. It just

333
00:17:41,920 --> 00:17:44,959
Speaker 2: looks like this, like in a very abstract way, but

334
00:17:45,160 --> 00:17:47,760
Speaker 2: very much a who I.

335
00:17:47,760 --> 00:17:50,520
Speaker 1: Say, MP animals, take a picture, flip us off, take

336
00:17:50,520 --> 00:17:52,399
Speaker 1: a pictures, tack us in your stories. We'll share it

337
00:17:52,440 --> 00:17:55,359
Speaker 1: in our stories and everybody listening all around the world.

338
00:17:55,480 --> 00:17:57,960
Speaker 1: Where it's a Niger where they're having so many babies,

339
00:17:58,080 --> 00:18:01,800
Speaker 1: or South Korea where they hate having sex, don't know

340
00:18:01,840 --> 00:18:06,000
Speaker 1: if that's true, We'll share it with the world. Here's

341
00:18:06,040 --> 00:18:09,159
Speaker 1: a real story. Empi Fabian sent this in. I mentioned

342
00:18:09,160 --> 00:18:12,640
Speaker 1: this at the end of the great episode with Lacy Moseley.

343
00:18:12,680 --> 00:18:17,040
Speaker 1: It was so fun. Evesdropping husband made over a million

344
00:18:17,119 --> 00:18:21,720
Speaker 1: dollars after listening to his wife's phone calls. Yes, yes,

345
00:18:22,640 --> 00:18:25,119
Speaker 1: this is on BBC dot com. Written by that Swing

346
00:18:25,240 --> 00:18:31,240
Speaker 1: in Swing and BBC staff. The husband of a British

347
00:18:31,400 --> 00:18:36,280
Speaker 1: petroleum BP employee has been charged with insider training in

348
00:18:36,359 --> 00:18:40,119
Speaker 1: the US following claims that he overheard details of calls

349
00:18:40,160 --> 00:18:43,920
Speaker 1: made by his wife while working from home. What a

350
00:18:44,400 --> 00:18:47,879
Speaker 1: bad move, What an insane.

351
00:18:47,440 --> 00:18:51,160
Speaker 2: What a stupid move? All of it is public record.

352
00:18:51,400 --> 00:18:54,080
Speaker 2: There's no way you're getting away with the trace. It's

353
00:18:54,240 --> 00:18:55,760
Speaker 2: no way you're getting away with it.

354
00:18:56,320 --> 00:18:58,920
Speaker 1: Well, there is a way if you write it down

355
00:18:59,000 --> 00:19:02,600
Speaker 1: with a pen and pay and then tell somebody else

356
00:19:03,400 --> 00:19:05,919
Speaker 1: at a bar that you're friends with and go, you

357
00:19:05,960 --> 00:19:07,960
Speaker 1: should invest in some of this stuff. But if you're

358
00:19:08,000 --> 00:19:10,639
Speaker 1: just doing it from the same IP address me.

359
00:19:10,840 --> 00:19:12,919
Speaker 2: But even if you do that at a bar, you

360
00:19:12,960 --> 00:19:15,520
Speaker 2: tell a friend do this, how and he makes one

361
00:19:15,560 --> 00:19:19,480
Speaker 2: point eight million dollars? How do you transfer a million

362
00:19:19,640 --> 00:19:24,000
Speaker 2: dollars to yourself without like setting up offshore accounts and

363
00:19:24,040 --> 00:19:26,840
Speaker 2: doing all this other illegal shit. Like you're immediately down

364
00:19:26,920 --> 00:19:28,879
Speaker 2: like this insanely slippery slope.

365
00:19:29,400 --> 00:19:33,720
Speaker 1: Yeah. Yeah, you open a frolio place that doesn't make froio.

366
00:19:33,840 --> 00:19:37,880
Speaker 1: It's all afront you just you just crack out, Mullah.

367
00:19:38,280 --> 00:19:39,879
Speaker 1: You and I one time were at Brooklyn. There was

368
00:19:39,920 --> 00:19:41,639
Speaker 1: just a hot dog place and we were like, we

369
00:19:41,720 --> 00:19:45,960
Speaker 1: have never seen anybody in this business ever. And we

370
00:19:46,000 --> 00:19:48,159
Speaker 1: were like, it's a front with no back. It was

371
00:19:48,440 --> 00:19:51,639
Speaker 1: just there's no back. Yeah, it was just they built

372
00:19:51,640 --> 00:19:53,520
Speaker 1: it and they were like, let's just not even make

373
00:19:53,560 --> 00:19:58,160
Speaker 1: it a business. The US Securities and Exchange Commission allege

374
00:19:58,240 --> 00:20:01,880
Speaker 1: that Tyler Lowden made at one point seven to six

375
00:20:01,960 --> 00:20:03,680
Speaker 1: million in illegal profits.

376
00:20:03,720 --> 00:20:04,600
Speaker 2: It's crazy.

377
00:20:04,840 --> 00:20:07,119
Speaker 1: That's a lot of fake for you, a lot of money,

378
00:20:08,040 --> 00:20:11,919
Speaker 1: the regulator claimed. Mister Loudon heard several of his wife's

379
00:20:11,920 --> 00:20:16,320
Speaker 1: conversation about BP's takeover of Travel Centers of America and

380
00:20:16,400 --> 00:20:20,560
Speaker 1: bought shares in the firm. BP has declined to comment.

381
00:20:20,680 --> 00:20:22,320
Speaker 1: Of course they did. Yeah, they don't anything to do

382
00:20:22,320 --> 00:20:25,639
Speaker 1: with this. Yeah, the SEC said, we allege that mister

383
00:20:26,000 --> 00:20:29,399
Speaker 1: Lowden took advantage of his remote working conditions and his

384
00:20:29,400 --> 00:20:34,119
Speaker 1: wife's trust to profit from information that he knew was confidential.

385
00:20:35,080 --> 00:20:39,240
Speaker 1: His wife a mergers and acquisitions manager at BP. Wow,

386
00:20:39,320 --> 00:20:40,120
Speaker 1: oh man.

387
00:20:40,000 --> 00:20:45,200
Speaker 2: I mean literally, it is her job. She over sees

388
00:20:45,359 --> 00:20:46,159
Speaker 2: the takeover.

389
00:20:47,480 --> 00:20:51,280
Speaker 1: This is so what about a buck an idiot? I know?

390
00:20:51,359 --> 00:20:54,760
Speaker 1: The SEC said, mister Lowden purchased you know, a discrete

391
00:20:54,880 --> 00:20:57,680
Speaker 1: forty six, four hundred and fifty shares in.

392
00:20:57,720 --> 00:21:05,040
Speaker 2: Travel does become very interesting. And TNA Travel Centers, Oh.

393
00:21:04,800 --> 00:21:10,359
Speaker 1: Yeah, how interested? Well, forty and fifty shares worth interested.

394
00:21:11,359 --> 00:21:13,359
Speaker 1: I'm more of a Bucky's guy, you know that. I

395
00:21:13,440 --> 00:21:16,239
Speaker 1: love Loves Loves is my favorite travel center? Is it

396
00:21:16,280 --> 00:21:20,399
Speaker 1: really loves rules, clean bathrooms, they clean hourly, they say

397
00:21:20,560 --> 00:21:23,080
Speaker 1: hello when you walk in, and they got that chewy

398
00:21:23,160 --> 00:21:27,200
Speaker 1: ice that I can't get enough of. Following the announcement,

399
00:21:27,240 --> 00:21:32,160
Speaker 1: travel Center share price of BP acquisition rose seventy one percent,

400
00:21:32,720 --> 00:21:36,720
Speaker 1: and mister Lowden allegedly immediately sold all of his new

401
00:21:37,320 --> 00:21:41,760
Speaker 1: bought shares for a huge profit. Now here's where it

402
00:21:41,800 --> 00:21:48,919
Speaker 1: gets what I would consider double bananas divorce in a

403
00:21:48,960 --> 00:21:54,120
Speaker 1: complaint by the regulator. During deal negotiations between Travel Centers

404
00:21:54,119 --> 00:21:57,040
Speaker 1: and BP and twenty twenty two, mister Louden of Houston,

405
00:21:57,119 --> 00:21:59,800
Speaker 1: Texas and his wife worked from home offices within twenty

406
00:21:59,840 --> 00:22:01,800
Speaker 1: five beat of each other. As a result, they frequently

407
00:22:01,800 --> 00:22:05,040
Speaker 1: overheard and witnessed each other's daily work related conversations and

408
00:22:05,160 --> 00:22:07,520
Speaker 1: video conferences. She also worked on the deal. When the

409
00:22:07,560 --> 00:22:10,560
Speaker 1: couple stayed in a small airbnb in Rome. These two

410
00:22:10,560 --> 00:22:14,040
Speaker 1: were living a cool life. Mister Loudon confessed his wife

411
00:22:14,359 --> 00:22:17,920
Speaker 1: about buying the travel center shares. After financial industry regulation

412
00:22:18,400 --> 00:22:22,359
Speaker 1: regulatory authority began asking questions about the bbtal and who

413
00:22:22,440 --> 00:22:26,240
Speaker 1: was in the know. His wife, who was stunned by

414
00:22:26,280 --> 00:22:30,399
Speaker 1: this revelation, reported the trading to her supervisor. So the

415
00:22:30,480 --> 00:22:32,080
Speaker 1: wife told on him.

416
00:22:31,960 --> 00:22:35,919
Speaker 2: Yes, thinking that that would be the right thing to do, right, Yes,

417
00:22:36,040 --> 00:22:38,199
Speaker 2: that's what I would think. I would think. Okay, just

418
00:22:38,240 --> 00:22:40,920
Speaker 2: come clean. This is you were stupid, but it has

419
00:22:40,960 --> 00:22:41,760
Speaker 2: nothing to do with me.

420
00:22:42,840 --> 00:22:46,080
Speaker 1: Yes, and then bust. It's putting her career in jeopardy.

421
00:22:46,119 --> 00:22:48,240
Speaker 1: He said he wanted to make enough money so that

422
00:22:48,320 --> 00:22:50,320
Speaker 1: she didn't have to work long hours anymore.

423
00:22:50,560 --> 00:22:55,720
Speaker 2: Well, well he succeeded, because tell him what happens, Scotty.

424
00:22:56,720 --> 00:22:58,800
Speaker 1: Well, they terminated her employment.

425
00:22:59,040 --> 00:23:01,280
Speaker 2: That's a lot of that's a big cup back on

426
00:23:01,400 --> 00:23:02,200
Speaker 2: hours for her.

427
00:23:02,359 --> 00:23:06,320
Speaker 1: Yeah, she's got that. She's sleeping in. She's sleeping in.

428
00:23:07,200 --> 00:23:10,560
Speaker 1: According to the regulator's complaint, mister Lowden's wife moved out

429
00:23:10,600 --> 00:23:13,320
Speaker 1: of the house and ceased all contact with him. In June,

430
00:23:13,320 --> 00:23:18,919
Speaker 1: she initiated divorce proceedings. Ooh wow, bad decisions. It's crazy

431
00:23:18,920 --> 00:23:23,760
Speaker 1: when adults have to face bad decisions or bad consequences

432
00:23:23,760 --> 00:23:24,840
Speaker 1: for their bad decisions.

433
00:23:25,160 --> 00:23:27,560
Speaker 2: But it's like, that's the craziest part. Is like, it's

434
00:23:27,560 --> 00:23:32,639
Speaker 2: a person who has access to forty six thousand dollars

435
00:23:32,680 --> 00:23:35,200
Speaker 2: just hanging out. He just has forty six thousand dollars.

436
00:23:35,920 --> 00:23:38,439
Speaker 2: That means on some level, I mean, maybe I don't know,

437
00:23:38,480 --> 00:23:41,160
Speaker 2: maybe he's like a he just has he's just been

438
00:23:41,200 --> 00:23:43,320
Speaker 2: giving it, given it. But I mean, it feels like

439
00:23:43,560 --> 00:23:45,320
Speaker 2: if you have that much money, you're smart enough to

440
00:23:45,440 --> 00:23:48,919
Speaker 2: have accumulated that much money. And dumb enough to not

441
00:23:49,200 --> 00:23:51,840
Speaker 2: think that all of this is not going to immediately

442
00:23:51,880 --> 00:23:54,720
Speaker 2: result in you going to jail or something else.

443
00:23:55,320 --> 00:23:58,680
Speaker 1: Uh, And yes, I mean, of course it's wrong. And yes,

444
00:23:58,720 --> 00:24:01,480
Speaker 1: he could have bought five thousand and shairs and booked

445
00:24:01,520 --> 00:24:03,800
Speaker 1: another little kip for Rome. He would have gotten away

446
00:24:03,840 --> 00:24:06,600
Speaker 1: with this, Yes, but he went whole hog.

447
00:24:07,119 --> 00:24:08,320
Speaker 2: How many shares did he buy?

448
00:24:08,760 --> 00:24:10,280
Speaker 1: Forty six thousand? Know what I mean?

449
00:24:10,600 --> 00:24:13,679
Speaker 2: Fifty Oh, that's how many shares he bought, So that

450
00:24:13,800 --> 00:24:17,320
Speaker 2: means it's more than forty six thousand dollars. He probably

451
00:24:17,320 --> 00:24:19,520
Speaker 2: spent like one hundred thousand dollars or something.

452
00:24:19,600 --> 00:24:21,520
Speaker 1: Or maybe five hundred thousand dollars. I don't know what

453
00:24:21,560 --> 00:24:23,879
Speaker 1: it was. But it went up seventy one percent and

454
00:24:23,960 --> 00:24:26,720
Speaker 1: he made one point seven six So I'm sure our

455
00:24:26,800 --> 00:24:31,679
Speaker 1: math nerd listeners are like, it's this many guys I

456
00:24:31,800 --> 00:24:36,680
Speaker 1: used to do this totally totally different, but the same

457
00:24:36,960 --> 00:24:39,240
Speaker 1: I used to have. And you know this because you

458
00:24:39,280 --> 00:24:40,920
Speaker 1: were my buddy around this time. But in New York,

459
00:24:41,000 --> 00:24:42,919
Speaker 1: I think a lot of my first jobs were the

460
00:24:42,960 --> 00:24:48,440
Speaker 1: result of me not blacking out when we would drink.

461
00:24:48,680 --> 00:24:51,920
Speaker 2: How that's a lot of your jobs were a result.

462
00:24:51,600 --> 00:24:54,760
Speaker 1: Of that, correct, okay, And I think my own sort

463
00:24:54,760 --> 00:24:57,720
Speaker 1: of insider trading took place in the East Village, usually

464
00:24:57,920 --> 00:25:00,280
Speaker 1: after all the stand up shows. And I can remember

465
00:25:00,320 --> 00:25:04,000
Speaker 1: two jobs distinctly where all the comics would go out

466
00:25:05,200 --> 00:25:07,400
Speaker 1: and you know, everybody's buying around. You'd buy a round

467
00:25:07,440 --> 00:25:09,439
Speaker 1: of beers, or I'd buy a round of shots, or

468
00:25:09,480 --> 00:25:11,320
Speaker 1: we were all going out because we didn't have any money,

469
00:25:11,320 --> 00:25:13,000
Speaker 1: but we were all together so and then all of

470
00:25:13,000 --> 00:25:14,520
Speaker 1: a sudden it's two am. You go, you want to

471
00:25:14,560 --> 00:25:16,520
Speaker 1: get one more, And then it's three, and then it's

472
00:25:16,560 --> 00:25:19,560
Speaker 1: four and you're still going. And I can remember two

473
00:25:19,680 --> 00:25:23,280
Speaker 1: jobs specifically where somebody around three am was drunk a

474
00:25:23,400 --> 00:25:26,000
Speaker 1: comic and they would be like, don't tell anybody, but

475
00:25:26,320 --> 00:25:30,359
Speaker 1: MTV's gonna buy a pilot. We pitched it yesterday. And

476
00:25:30,400 --> 00:25:32,159
Speaker 1: I'd be like, oh really, and they would explain the

477
00:25:32,200 --> 00:25:34,760
Speaker 1: whole thing to me, and then I could tell that

478
00:25:34,880 --> 00:25:38,280
Speaker 1: they had no idea, they were blackout, they were just

479
00:25:38,440 --> 00:25:42,679
Speaker 1: in another state of being. And then I would start

480
00:25:42,680 --> 00:25:45,919
Speaker 1: preparing jokes and bits and dusk pieces. And then when

481
00:25:45,960 --> 00:25:48,240
Speaker 1: I would run into that person again sober a few

482
00:25:48,320 --> 00:25:51,000
Speaker 1: days later, I would say, if you ever want to

483
00:25:51,040 --> 00:25:53,800
Speaker 1: work on anything together, I think I have some stuff

484
00:25:53,800 --> 00:25:55,879
Speaker 1: for you, and they would go, Actually, we sold a

485
00:25:55,920 --> 00:25:59,440
Speaker 1: pilot a few days ago to MTV, and I got

486
00:25:59,520 --> 00:26:02,360
Speaker 1: hired as the head writer on one of those pilots.

487
00:26:02,400 --> 00:26:03,639
Speaker 2: Oh I know which one that is.

488
00:26:05,640 --> 00:26:08,720
Speaker 1: Based on that person not remembering that they told me

489
00:26:08,960 --> 00:26:11,160
Speaker 1: when they were blackout drunk. And I did it again

490
00:26:11,240 --> 00:26:13,919
Speaker 1: about a year later, when like they were trying to

491
00:26:13,960 --> 00:26:16,200
Speaker 1: hold it in, and it's that thing. It's like, it's

492
00:26:16,200 --> 00:26:19,080
Speaker 1: what alcohol does they let They spilled their being loose

493
00:26:19,160 --> 00:26:22,000
Speaker 1: lips to a guy drinking just as hard but who

494
00:26:22,320 --> 00:26:24,919
Speaker 1: could remember exactly. And I would like ride home on

495
00:26:24,960 --> 00:26:27,760
Speaker 1: the F train at four thirty am and go like, okay,

496
00:26:27,840 --> 00:26:30,040
Speaker 1: I'm going to write a couple sketches that fall into

497
00:26:30,040 --> 00:26:32,840
Speaker 1: that wheelhouse and email them about something else. And it

498
00:26:33,000 --> 00:26:36,240
Speaker 1: was my insider trading. It was how I got ahead.

499
00:26:36,320 --> 00:26:39,960
Speaker 1: I didn't I didn't make mistakes. I retained all the information.

500
00:26:40,080 --> 00:26:42,119
Speaker 1: This is pretty smartphones too, so I wasn't even like

501
00:26:42,240 --> 00:26:45,320
Speaker 1: jotting notes down. I was just like, in three days,

502
00:26:45,400 --> 00:26:48,320
Speaker 1: reach out and say we should work on something together,

503
00:26:48,440 --> 00:26:51,920
Speaker 1: and they would go, awesome, let's do it.

504
00:26:52,240 --> 00:26:55,440
Speaker 2: Oh my god, I love that. Whatever. Four years into

505
00:26:55,440 --> 00:26:58,840
Speaker 2: this podcast and I'm still still learning new things about you.

506
00:26:58,880 --> 00:27:00,200
Speaker 2: Scotti Landis And.

507
00:27:00,119 --> 00:27:02,200
Speaker 1: That's how I break in. Whenever people's like, hey, how

508
00:27:02,200 --> 00:27:04,120
Speaker 1: did you break in? I want to be like, well,

509
00:27:04,160 --> 00:27:06,639
Speaker 1: I socialized really well for six years.

510
00:27:06,760 --> 00:27:10,000
Speaker 2: Yeah, yeah, you know it always you were always hanging out.

511
00:27:10,560 --> 00:27:12,840
Speaker 1: Yeah, it was always around. I remember after like I

512
00:27:13,320 --> 00:27:16,320
Speaker 1: took your improv one oh one, just to get to

513
00:27:16,359 --> 00:27:19,680
Speaker 1: know you an impression. After like the third class, You're like, hey, man,

514
00:27:19,720 --> 00:27:21,440
Speaker 1: you want to go get a beer? And we went

515
00:27:21,480 --> 00:27:25,840
Speaker 1: to a place on the far west side, like Siberia.

516
00:27:26,000 --> 00:27:28,760
Speaker 1: Was there a bar called Siberia. There was art was.

517
00:27:28,760 --> 00:27:31,000
Speaker 2: It all red? Was it all red lighting? And it

518
00:27:31,080 --> 00:27:33,560
Speaker 2: had like a big hole in the middle of it

519
00:27:33,600 --> 00:27:36,480
Speaker 2: that you could see downstairs into another floor. Yes, that

520
00:27:36,600 --> 00:27:41,560
Speaker 2: was the second Siberia. The first Siberia was inside a

521
00:27:41,880 --> 00:27:46,439
Speaker 2: fucking subway station. So you would go down into a

522
00:27:46,480 --> 00:27:49,320
Speaker 2: subway station and then right before you got to the turnstiles,

523
00:27:49,320 --> 00:27:52,040
Speaker 2: there was just a door and you would go through

524
00:27:52,080 --> 00:27:56,400
Speaker 2: the door and it was this like two room like bar,

525
00:27:56,880 --> 00:28:00,000
Speaker 2: all red lighting, all Russian themed, and bands would play.

526
00:28:00,280 --> 00:28:03,440
Speaker 2: It was the most wonderful and amazing place I had

527
00:28:03,680 --> 00:28:05,560
Speaker 2: ever experienced up until then.

528
00:28:05,840 --> 00:28:08,520
Speaker 1: You know, And this is gonna sound like old dinosaur

529
00:28:08,600 --> 00:28:11,720
Speaker 1: man with nine foot gray beard. But like now, because

530
00:28:11,760 --> 00:28:15,200
Speaker 1: of Instagram and stuff like, stuff like that spread so fast,

531
00:28:15,240 --> 00:28:17,400
Speaker 1: to keep that shit secret for even more than two

532
00:28:17,520 --> 00:28:20,560
Speaker 1: nights is like virtually impossible. I know, such a shame

533
00:28:20,600 --> 00:28:23,000
Speaker 1: that that old secret New York is like go Gaga,

534
00:28:23,119 --> 00:28:27,439
Speaker 1: Gong it is wow. Yeah, but yeah, you took me

535
00:28:27,440 --> 00:28:28,800
Speaker 1: there and like you and I just hung out and

536
00:28:28,840 --> 00:28:30,920
Speaker 1: drank for a few hours, and I was like, Okay,

537
00:28:30,920 --> 00:28:33,960
Speaker 1: I think this guy's gonna remember me. But I remember

538
00:28:33,960 --> 00:28:36,080
Speaker 1: going to that bar and being like, okay, maybe this

539
00:28:36,119 --> 00:28:42,160
Speaker 1: plant's working too. That's pretty great paid off fifteen years later.

540
00:28:42,280 --> 00:28:45,360
Speaker 1: So all right, long games, the long con.

541
00:28:45,640 --> 00:28:48,560
Speaker 2: All right, you ready for one, I'll tease it and

542
00:28:48,560 --> 00:28:51,680
Speaker 2: then we'll go on to uh, thumbs up.

543
00:28:53,000 --> 00:28:53,800
Speaker 1: I would love that.

544
00:28:54,040 --> 00:28:55,120
Speaker 2: I call it thumbs up.

545
00:28:55,160 --> 00:28:56,719
Speaker 1: Now, let's call thumbs up.

546
00:28:56,760 --> 00:28:58,320
Speaker 2: Shout outs are called thumbs up.

547
00:28:58,360 --> 00:29:00,840
Speaker 1: Now, Okay, I'm gonna down.

548
00:29:01,760 --> 00:29:04,720
Speaker 2: And also I'll forget, so please remind me thumbs ups

549
00:29:05,680 --> 00:29:08,640
Speaker 2: ais get better at math if you tell them to

550
00:29:08,680 --> 00:29:10,200
Speaker 2: pretend to be in star Trek.

551
00:29:14,400 --> 00:29:17,480
Speaker 1: Well, sure, that's all that's up. All right, I got

552
00:29:17,480 --> 00:29:19,880
Speaker 1: some thumbs ups. First, I got to give my own

553
00:29:19,880 --> 00:29:22,640
Speaker 1: thumbs up to Andy Tait at the Let's Not Meet podcast,

554
00:29:22,680 --> 00:29:24,200
Speaker 1: who is so kind to let me on and read

555
00:29:24,200 --> 00:29:26,600
Speaker 1: a couple of stories. We have a lot of crossover

556
00:29:26,680 --> 00:29:30,440
Speaker 1: between our podcast and his podcast. Yes, but I really

557
00:29:30,520 --> 00:29:33,280
Speaker 1: need to shout out the co producer of that podcast,

558
00:29:33,320 --> 00:29:35,720
Speaker 1: who is a bananimal who reached out to me two

559
00:29:35,800 --> 00:29:39,080
Speaker 1: years ago about potentially doing that. Her name is Jennifer

560
00:29:39,280 --> 00:29:43,240
Speaker 1: Holly Wood. And Jennifer, you're getting the double thumbs ups

561
00:29:43,240 --> 00:29:46,600
Speaker 1: from me because she followed up with me two years

562
00:29:46,680 --> 00:29:49,080
Speaker 1: later or whatever it was. And I had a great time,

563
00:29:49,080 --> 00:29:50,720
Speaker 1: And thanks to all the bannimals who wrote so many

564
00:29:50,760 --> 00:29:54,400
Speaker 1: nice messages to us about that episode. Was really fun

565
00:29:54,680 --> 00:29:58,400
Speaker 1: to do. Yeah, it's nice, right, wasn't that cool? Yes?

566
00:29:59,400 --> 00:30:06,920
Speaker 1: May Ac in Spain an international bananimal. I always love

567
00:30:06,960 --> 00:30:10,600
Speaker 1: the name. Mave wants to shout out her best friend

568
00:30:10,640 --> 00:30:14,920
Speaker 1: since middle school, Joanne. Joanne started her own digital marketing

569
00:30:14,960 --> 00:30:17,600
Speaker 1: company that I looked up. It's very nice. It's called

570
00:30:17,720 --> 00:30:19,120
Speaker 1: Digital Hummingbirds.

571
00:30:19,280 --> 00:30:19,520
Speaker 2: Nice.

572
00:30:19,520 --> 00:30:24,120
Speaker 1: You can find this so called amazing Joeanne at Digital

573
00:30:24,240 --> 00:30:32,160
Speaker 1: Hummingbirds on Instagram. Congratulations, Hey, Mave or oh La. Kate

574
00:30:32,200 --> 00:30:35,600
Speaker 1: wants to shout out her partner Vinnie, who started streaming.

575
00:30:35,880 --> 00:30:37,160
Speaker 1: Did did I do this one? I don't think so.

576
00:30:37,200 --> 00:30:39,600
Speaker 1: I'm gonna do it again, even I don't think thumbs ups.

577
00:30:39,880 --> 00:30:43,080
Speaker 1: Kate wants to thumbs ups her partner Vinnie, who started

578
00:30:43,120 --> 00:30:46,880
Speaker 1: streaming as a horror gamer on Twitch. I know it, Twitches.

579
00:30:46,920 --> 00:30:48,840
Speaker 1: I used to watch your stand up on Twitch. Oh

580
00:30:48,880 --> 00:30:56,840
Speaker 1: my god, that comedy show during the pandemic. Yeah, and

581
00:30:57,000 --> 00:30:59,960
Speaker 1: recently so Vinnie made it to what's called a phil

582
00:31:00,520 --> 00:31:03,200
Speaker 1: which means he's unlocked all kinds of special features and

583
00:31:03,240 --> 00:31:06,200
Speaker 1: his followers can subscribe to him monthly. It takes a

584
00:31:06,240 --> 00:31:08,800
Speaker 1: ton of work to get to that list as a

585
00:31:08,840 --> 00:31:11,480
Speaker 1: gamer streamer on Twitch or a streaming gamer on Twitch.

586
00:31:12,480 --> 00:31:15,400
Speaker 1: So if you enjoy watching Twitch streamers, especially people that

587
00:31:15,400 --> 00:31:19,600
Speaker 1: play video games and scary games, you can follow and

588
00:31:19,680 --> 00:31:25,720
Speaker 1: subscribe at winter x Warlock winter X.

589
00:31:25,920 --> 00:31:26,440
Speaker 2: Nice.

590
00:31:26,840 --> 00:31:30,320
Speaker 1: That's a pretty good name. Yes, let's do a couple

591
00:31:30,280 --> 00:31:31,480
Speaker 1: of sweety pie ones.

592
00:31:32,360 --> 00:31:35,440
Speaker 2: I got one while you're looking. Oh yeah, I'm just

593
00:31:35,520 --> 00:31:42,280
Speaker 2: shouting out Dia Doom de Naro on Instagram. Yes, she

594
00:31:42,400 --> 00:31:46,080
Speaker 2: requested that if she dies before I do that, I

595
00:31:46,160 --> 00:31:49,760
Speaker 2: go to her funeral and go up to the mic

596
00:31:49,920 --> 00:31:55,000
Speaker 2: very seriously and say and then walk out. Do that,

597
00:31:55,560 --> 00:31:57,880
Speaker 2: and I said, no problem, just let me know when

598
00:31:57,880 --> 00:31:58,440
Speaker 2: you die.

599
00:31:58,800 --> 00:32:03,120
Speaker 1: I'll have the yellow rental Mustang GT convertible park just

600
00:32:03,200 --> 00:32:07,120
Speaker 1: outside the graveyard and you can just run before the

601
00:32:07,160 --> 00:32:11,480
Speaker 1: family can attack you. Okay, I'll do two more. Rachel

602
00:32:11,560 --> 00:32:13,680
Speaker 1: Robinson wants to shout out or wants the thumbs up

603
00:32:13,680 --> 00:32:17,280
Speaker 1: her husband Lee, who hates other podcasts she listens to,

604
00:32:17,600 --> 00:32:20,200
Speaker 1: but does ask for bananas when they go on long

605
00:32:20,280 --> 00:32:24,680
Speaker 1: car ride. Right, he's a bro animals animal. We love

606
00:32:24,800 --> 00:32:29,560
Speaker 1: the husbands that hate bananas. You're all welcome come see

607
00:32:29,640 --> 00:32:35,440
Speaker 1: us in Chicago. Lee got a double hip replacement this whoa.

608
00:32:35,640 --> 00:32:37,680
Speaker 2: I didn't know we had ray two hips. I thought

609
00:32:37,720 --> 00:32:39,920
Speaker 2: it was just one piece. That's amazing.

610
00:32:40,200 --> 00:32:42,480
Speaker 1: We go two hip, double hip replacement this week. And

611
00:32:42,600 --> 00:32:46,280
Speaker 1: Rachel wants to say to Lee that I love you

612
00:32:46,560 --> 00:32:49,280
Speaker 1: and I can't wait until we can take long walks

613
00:32:49,280 --> 00:32:53,960
Speaker 1: with it together without pain. Yes, that's pretty, that's beautiful.

614
00:32:54,160 --> 00:32:57,160
Speaker 1: That and last, but not least, Yeah, we're gonna thumbs

615
00:32:57,240 --> 00:33:01,160
Speaker 1: up the great and wonderful Bananamal Julia. Julia is thumbs

616
00:33:01,200 --> 00:33:07,600
Speaker 1: up in herself and uh and bananas giving us a

617
00:33:07,680 --> 00:33:11,160
Speaker 1: thumbs up too. She had a miscarriage and lost her

618
00:33:11,200 --> 00:33:15,600
Speaker 1: grandmother around the same time and needed to pick me up.

619
00:33:15,640 --> 00:33:19,800
Speaker 1: So she completed yoga with Adrian's thirty days of Yoga

620
00:33:19,840 --> 00:33:24,120
Speaker 1: and a dry January and she feels so much better.

621
00:33:24,160 --> 00:33:26,920
Speaker 1: Oh good, she says. Sorry, Scottie, I couldn't do the

622
00:33:26,920 --> 00:33:30,600
Speaker 1: full dry sixty nine. You're absolved. You're very absolved. But

623
00:33:30,840 --> 00:33:33,520
Speaker 1: good for you for doing one. We love yoga with Adrian.

624
00:33:33,600 --> 00:33:35,760
Speaker 1: We tried to get her on Bananas. She's the busiest

625
00:33:35,800 --> 00:33:41,160
Speaker 1: woman in sports entertainment. Try, so we'll try try. If

626
00:33:41,160 --> 00:33:46,560
Speaker 1: anybody has an Adrian hookup. Yeah, we love yo with Adrian. Yeah,

627
00:33:46,600 --> 00:33:49,520
Speaker 1: but congrats on a dry January. And also, Julia, just

628
00:33:49,560 --> 00:33:54,080
Speaker 1: congrats on making two super healthy choices to feel better.

629
00:33:54,240 --> 00:33:55,680
Speaker 1: I know what's going on in your life.

630
00:33:55,760 --> 00:33:59,360
Speaker 2: Congratulations Banana of the week. I think Julia, Oh, Banana

631
00:33:59,400 --> 00:34:02,680
Speaker 2: of the week hundred percent. There go double thumbs up

632
00:34:02,680 --> 00:34:02,880
Speaker 2: to you.

633
00:34:03,600 --> 00:34:05,520
Speaker 1: Tell Yeah, thanks for all the thumbs up. You can

634
00:34:05,600 --> 00:34:11,279
Speaker 1: send your thumbs ups to Bananas Podcast at gmail dot com.

635
00:34:11,280 --> 00:34:12,200
Speaker 2: It's good and dumb.

636
00:34:13,320 --> 00:34:16,040
Speaker 1: It's so dub I'm all in. We're thumbs up and.

637
00:34:16,200 --> 00:34:19,719
Speaker 2: All right here it is. Yeah, buddy, ais get better

638
00:34:19,760 --> 00:34:21,560
Speaker 2: at math if you tell them to pretend to be

639
00:34:21,760 --> 00:34:25,759
Speaker 2: in Star Trek. This was in the New Scientist. I

640
00:34:25,920 --> 00:34:27,680
Speaker 2: just found this while I was reading the news.

641
00:34:29,520 --> 00:34:30,240
Speaker 1: Let's see.

642
00:34:30,280 --> 00:34:33,840
Speaker 2: Instructing an AI chatbot to answer questions as if it

643
00:34:33,880 --> 00:34:36,040
Speaker 2: were in the TV show Star Trek seems to improve

644
00:34:36,040 --> 00:34:40,080
Speaker 2: its mathematical ability, although no one is exactly sure why.

645
00:34:40,840 --> 00:34:44,520
Speaker 1: Great, Oh, no, is it fake? Did you get duped?

646
00:34:44,640 --> 00:34:47,120
Speaker 2: No, it's making a New science is trying to get

647
00:34:47,160 --> 00:34:48,239
Speaker 2: me to subscribe to it.

648
00:34:48,360 --> 00:34:50,160
Speaker 1: Kurt, I'll jump in if you can't get it. I

649
00:34:50,320 --> 00:34:53,040
Speaker 1: found it the same thing I did. I found it

650
00:34:53,239 --> 00:34:57,399
Speaker 1: on Business Insider, written by Marianne Gouno. Ais are more

651
00:34:57,400 --> 00:34:59,400
Speaker 1: accurate at math if you ask them to respond as

652
00:34:59,440 --> 00:35:02,920
Speaker 1: if they were all Artchek character. The art of speaking

653
00:35:03,000 --> 00:35:07,319
Speaker 1: AI chatbots is continuing to frustrate and baffle people. A

654
00:35:07,400 --> 00:35:10,920
Speaker 1: study attempting to fine tune prompts fed into a chatbot

655
00:35:10,960 --> 00:35:15,000
Speaker 1: model found that, in one instance, asking it to speak

656
00:35:15,040 --> 00:35:18,000
Speaker 1: as if it were on Star Trek dramatically improved its

657
00:35:18,040 --> 00:35:22,279
Speaker 1: ability to solve grade school level math problems. Quote. It's

658
00:35:22,280 --> 00:35:26,440
Speaker 1: both surprising and irritating that trivial modifications to the prompt

659
00:35:26,440 --> 00:35:30,360
Speaker 1: can exhibit such dramatic swings and performance. The study authors

660
00:35:31,239 --> 00:35:37,440
Speaker 1: Rick Battle and tah Galapudi. Yeah, Teja Galaputi said at

661
00:35:37,520 --> 00:35:43,160
Speaker 1: software firm VMware in California. The study, first reported by

662
00:35:43,200 --> 00:35:46,799
Speaker 1: New Scientists, was published on February ninth, a server where

663
00:35:46,840 --> 00:35:50,720
Speaker 1: scientists can share preliminary findings before they're validated by careful

664
00:35:50,719 --> 00:35:55,520
Speaker 1: scrutiny from their peers. The machine learning engineeers, battle in,

665
00:35:55,680 --> 00:36:00,759
Speaker 1: Galaputi said, set out to expose that AI models, what

666
00:36:00,800 --> 00:36:03,399
Speaker 1: if you made I'm a treki. Instead, they were trying

667
00:36:03,400 --> 00:36:05,920
Speaker 1: to figure out if they could capitalize on the positive

668
00:36:05,960 --> 00:36:08,680
Speaker 1: thinking trend, which I didn't know that was a trend.

669
00:36:08,719 --> 00:36:11,520
Speaker 1: I didn't know that was people attempting to get the

670
00:36:11,520 --> 00:36:15,120
Speaker 1: best results out of chatbots. Notice that the output excuse me,

671
00:36:15,239 --> 00:36:19,120
Speaker 1: output quality depends on what you ask them to do,

672
00:36:19,239 --> 00:36:23,360
Speaker 1: and it's not really clear why. So, like if you

673
00:36:23,360 --> 00:36:26,680
Speaker 1: ask them to do something, there's a myriad of factors

674
00:36:26,719 --> 00:36:30,600
Speaker 1: influencing the performance of language models. The concept of positive

675
00:36:30,640 --> 00:36:34,400
Speaker 1: thinking has emerged fascinating and surprisingly influential.

676
00:36:34,640 --> 00:36:37,560
Speaker 2: Yeah, so it's interesting that, like I was reading the

677
00:36:37,640 --> 00:36:40,600
Speaker 2: article I read was like, they're like basically, the way

678
00:36:40,640 --> 00:36:43,920
Speaker 2: these large language models works, it is a series of

679
00:36:44,000 --> 00:36:48,520
Speaker 2: weights and measures and you can adjust them by giving

680
00:36:48,560 --> 00:36:50,960
Speaker 2: it different types of prompts. So what they were trying

681
00:36:51,000 --> 00:36:54,120
Speaker 2: to do in the study was find out what prompts

682
00:36:54,200 --> 00:36:57,799
Speaker 2: how you should speak to a large language model to

683
00:36:57,840 --> 00:37:01,800
Speaker 2: get the most accurate information. Would actually ask the model

684
00:37:02,040 --> 00:37:06,719
Speaker 2: to create its own prompt and it created, so that's

685
00:37:06,719 --> 00:37:11,640
Speaker 2: the craziest part. But then it created the imagine you

686
00:37:11,680 --> 00:37:14,880
Speaker 2: are a star Trek captain and then asked the question.

687
00:37:15,000 --> 00:37:18,120
Speaker 2: So that was a creation from the actual language model

688
00:37:18,600 --> 00:37:21,759
Speaker 2: to give to itself, and it actually did work in

689
00:37:21,800 --> 00:37:26,080
Speaker 2: giving more accurate, like math answers. And that's the craziest

690
00:37:26,080 --> 00:37:28,600
Speaker 2: thing is that our whole future is just gonna be

691
00:37:30,160 --> 00:37:33,239
Speaker 2: like you. You're gonna know things, and you're gonna have

692
00:37:33,280 --> 00:37:37,040
Speaker 2: no idea how in any way because you're gonna.

693
00:37:36,840 --> 00:37:39,319
Speaker 1: Be already there. Brother, I don't know how I know shit.

694
00:37:39,840 --> 00:37:41,480
Speaker 1: When people like how do you know that, I'm like,

695
00:37:41,520 --> 00:37:45,400
Speaker 1: I don't know. I don't sometimes wish I didn't you

696
00:37:45,480 --> 00:37:48,680
Speaker 1: had said that, they encourage it. Basically on this Business

697
00:37:48,719 --> 00:37:52,040
Speaker 1: Insider it says, it's not what you asked the AI

698
00:37:52,160 --> 00:37:54,800
Speaker 1: model to do, but how you ask it to act

699
00:37:54,920 --> 00:37:59,000
Speaker 1: while doing it that influences the output. They designed and

700
00:37:59,280 --> 00:38:04,000
Speaker 1: encouraged AIS. So these people encourage their AIS with things

701
00:38:04,040 --> 00:38:07,799
Speaker 1: such as quote, this will be fun. So they told

702
00:38:07,840 --> 00:38:09,560
Speaker 1: the AI this will be fun?

703
00:38:09,640 --> 00:38:11,040
Speaker 2: What and that changed it?

704
00:38:11,800 --> 00:38:14,800
Speaker 1: Yeah. And then they also said take a deep breath

705
00:38:14,800 --> 00:38:18,040
Speaker 1: and think carefully. Are you crazy?

706
00:38:18,400 --> 00:38:20,880
Speaker 2: And all that worked? Yes, it worked.

707
00:38:21,440 --> 00:38:24,520
Speaker 1: It worked. The better the output, the more successful the

708
00:38:24,560 --> 00:38:27,920
Speaker 1: prompt was deemed to be. And this seemed to have worked.

709
00:38:27,960 --> 00:38:30,160
Speaker 1: And they even included one that said, quote you are

710
00:38:30,200 --> 00:38:35,520
Speaker 1: as smart as chat GPT. So they're complementing these AI

711
00:38:35,600 --> 00:38:38,520
Speaker 1: like I don't know, children doing their homework and it's working.

712
00:38:38,680 --> 00:38:41,239
Speaker 2: Oh my god. At a certain point, if this is

713
00:38:41,280 --> 00:38:45,560
Speaker 2: the at a certain point, if everything we have to

714
00:38:45,600 --> 00:38:48,480
Speaker 2: do to interact with it and everything that it's spitting

715
00:38:48,520 --> 00:38:53,520
Speaker 2: out mimics like a human in all ways, at what

716
00:38:53,600 --> 00:38:55,520
Speaker 2: point there's there's no differentiation?

717
00:38:55,800 --> 00:38:56,359
Speaker 1: Do you know what I mean?

718
00:38:56,400 --> 00:38:58,920
Speaker 2: That you have to speak to it like kindly and nicely.

719
00:38:59,560 --> 00:39:05,160
Speaker 1: Yeah there, yes, that nicer you talk to That's what

720
00:39:05,200 --> 00:39:07,479
Speaker 1: this is saying. I don't know if it's fully through,

721
00:39:07,560 --> 00:39:10,640
Speaker 1: but yeah, it says. It shows how bizarre these systems

722
00:39:10,719 --> 00:39:13,560
Speaker 1: processes are and how little we even know about how

723
00:39:13,560 --> 00:39:15,360
Speaker 1: they work. What are we doing?

724
00:39:15,560 --> 00:39:18,320
Speaker 2: It's sold the plug right now?

725
00:39:18,840 --> 00:39:22,280
Speaker 1: Clearous? God stop pull the plug, shake the etcher sketch.

726
00:39:22,960 --> 00:39:23,839
Speaker 1: Let's start over.

727
00:39:24,560 --> 00:39:28,240
Speaker 2: We're going to Scottie and I and two of our friends,

728
00:39:28,320 --> 00:39:32,480
Speaker 2: Robin Robin Rich are gonna go see Dune two on Monday.

729
00:39:33,040 --> 00:39:39,120
Speaker 2: And Rob loves using the image generating AI to like

730
00:39:39,239 --> 00:39:42,560
Speaker 2: just send out the most insane images. And he said

731
00:39:42,600 --> 00:39:45,239
Speaker 2: one of himself, like Dune where, And I was like,

732
00:39:45,320 --> 00:39:47,480
Speaker 2: do all of us? And then he said, and they

733
00:39:47,520 --> 00:39:50,359
Speaker 2: were pretty good. They were pretty good of like all

734
00:39:50,400 --> 00:39:54,279
Speaker 2: of us wearing Dune outfits. Yes, but then there was

735
00:39:54,360 --> 00:39:57,160
Speaker 2: one version of you that just looked like a kid

736
00:39:57,440 --> 00:40:00,399
Speaker 2: who had gotten into the candy fi real.

737
00:40:01,719 --> 00:40:05,560
Speaker 1: Yeah, I think I know what Internet photos said. There

738
00:40:05,600 --> 00:40:07,840
Speaker 1: was an era where I might have been hitting the

739
00:40:07,880 --> 00:40:10,520
Speaker 1: El Tita sodas a little hard. That one. Yeah, I

740
00:40:10,560 --> 00:40:12,600
Speaker 1: look like buzz from home alone.

741
00:40:12,640 --> 00:40:15,120
Speaker 2: I was like, it was so awesome, but in full,

742
00:40:15,440 --> 00:40:21,759
Speaker 2: in full like frem and Geremen. Sandwalker gear is so funny.

743
00:40:21,840 --> 00:40:24,000
Speaker 1: Fine with me. Yeah, he would have gotten in first,

744
00:40:24,000 --> 00:40:26,600
Speaker 1: that that's sandworm, but a child, he would have been full.

745
00:40:26,640 --> 00:40:29,719
Speaker 1: He would just burnt me back out. Oh man, all right,

746
00:40:30,880 --> 00:40:32,480
Speaker 1: I got a camping one for you.

747
00:40:32,480 --> 00:40:33,239
Speaker 2: You know, I love it.

748
00:40:34,000 --> 00:40:36,560
Speaker 1: Alex Hartley sent this in Alex Thank you very much.

749
00:40:36,680 --> 00:40:40,040
Speaker 1: Alex Sen's good stories. This was in The Guardian. That's Real,

750
00:40:40,360 --> 00:40:43,600
Speaker 1: written by Stephen Morris. I think we've done quite a

751
00:40:43,600 --> 00:40:45,279
Speaker 1: few Stephen Morris stories back.

752
00:40:45,400 --> 00:40:46,960
Speaker 2: The name sounds familiar.

753
00:40:47,480 --> 00:40:54,840
Speaker 1: He is Hampshire glamping site told to close after complaints

754
00:40:54,880 --> 00:40:56,840
Speaker 1: about loud sex and bad singing.

755
00:40:57,840 --> 00:41:01,960
Speaker 2: Told to close by like, oh, I give it to me.

756
00:41:02,040 --> 00:41:04,040
Speaker 2: I'm not asking any more questions. I'm listening.

757
00:41:04,680 --> 00:41:08,440
Speaker 1: Yeah. In twenty twenty four, we listen. It was billed

758
00:41:08,560 --> 00:41:12,400
Speaker 1: as a peaceful glamping retreat designed to provide visitors to

759
00:41:12,520 --> 00:41:16,279
Speaker 1: the New Forest with a taste of life's simple pleasures,

760
00:41:16,800 --> 00:41:22,520
Speaker 1: a perfect romantic getaway or family break. But Secret Garden

761
00:41:22,560 --> 00:41:27,239
Speaker 1: glamping in Lymington, Hampshire has been ordered to close after

762
00:41:27,320 --> 00:41:30,920
Speaker 1: neighbors complained about late night parties, noisy sex and blaring

763
00:41:31,000 --> 00:41:36,400
Speaker 1: karaoke sessions that featured delusional versions of the song Islands

764
00:41:36,400 --> 00:41:42,160
Speaker 1: in the Stream. Wait, no, that sentence is incredible. I

765
00:41:42,200 --> 00:41:47,880
Speaker 1: don't even under delusional versions versions of the song Islands

766
00:41:47,880 --> 00:41:50,160
Speaker 1: in the Stream. He comes back around. The cool thing

767
00:41:50,160 --> 00:41:52,480
Speaker 1: about Stephen Morris and the reason he's the best hyper

768
00:41:52,520 --> 00:41:55,920
Speaker 1: in the biz is he will He's set he's teasing

769
00:41:56,040 --> 00:42:01,040
Speaker 1: US Little Bow planning officers ruled the Garden glamping site,

770
00:42:01,040 --> 00:42:04,160
Speaker 1: which backs up to their properties, calls a harmful level

771
00:42:04,160 --> 00:42:08,080
Speaker 1: of disturbance to the neighbors. Liz Faye, the owner of

772
00:42:08,160 --> 00:42:11,680
Speaker 1: Secret Garden Glamping, set up two tents named Flora and

773
00:42:11,800 --> 00:42:15,280
Speaker 1: Bell in the garden of her three bedroom, semi detached

774
00:42:15,320 --> 00:42:22,279
Speaker 1: house without planning permission, wow visitors who were impressed, one

775
00:42:22,320 --> 00:42:25,400
Speaker 1: describing it as a quote little gem in the heart

776
00:42:25,520 --> 00:42:31,120
Speaker 1: of Lymington. After four years, she applied for retrospective planning

777
00:42:31,120 --> 00:42:36,320
Speaker 1: permission to New Forest District Council, but neighbors express concerns

778
00:42:36,320 --> 00:42:40,080
Speaker 1: about the site. Mel Simms, fifty one years of age, said,

779
00:42:40,200 --> 00:42:43,480
Speaker 1: I live directly behind the garden. I bought this house

780
00:42:43,600 --> 00:42:45,879
Speaker 1: last year thinking it was a quiet call de sac.

781
00:42:46,440 --> 00:42:49,280
Speaker 1: The noise from the garden and field in the summer

782
00:42:49,360 --> 00:42:53,720
Speaker 1: is too much. Often past midnight there is music, lou chat, sex,

783
00:42:53,760 --> 00:42:57,160
Speaker 1: and thin tents. We all awkwardly hear and swear. Okay,

784
00:42:57,360 --> 00:43:00,640
Speaker 1: all right, So Mel's saying that she hear in both

785
00:43:00,680 --> 00:43:04,879
Speaker 1: boinking and dinking and bad words. Another neighbor Daniel, Well.

786
00:43:04,840 --> 00:43:07,880
Speaker 2: I'll be honest, she does have a big microphone like

787
00:43:08,880 --> 00:43:12,200
Speaker 2: with like one of those big satellite dishes pointed at

788
00:43:12,200 --> 00:43:14,000
Speaker 2: it because she's interested.

789
00:43:14,080 --> 00:43:17,000
Speaker 1: But I hate this. She had to go on.

790
00:43:17,160 --> 00:43:19,000
Speaker 2: I have to go and put the headphones on every

791
00:43:19,040 --> 00:43:20,720
Speaker 2: morning and it is disgusting.

792
00:43:21,239 --> 00:43:24,640
Speaker 1: How am I supposed to sleep when I'm so turned on?

793
00:43:25,480 --> 00:43:29,120
Speaker 1: Another neighbor, Daniel Wells, said socializing continues through the working week,

794
00:43:29,200 --> 00:43:31,680
Speaker 1: disturbing sleep for myself and my wife and our son,

795
00:43:31,719 --> 00:43:35,240
Speaker 1: whose bedroom is at the back of the house. Most upsetting, perhaps,

796
00:43:35,680 --> 00:43:37,759
Speaker 1: is that on several occasions we have had to close

797
00:43:37,800 --> 00:43:39,560
Speaker 1: the window to block out the sound of a couple

798
00:43:39,600 --> 00:43:43,000
Speaker 1: engaging in acts of the sexual nature. Wow, British.

799
00:43:43,120 --> 00:43:45,919
Speaker 2: How old is the son? I wonder if that sun

800
00:43:46,000 --> 00:43:48,879
Speaker 2: is twelve. It's a dream come true for him. He's

801
00:43:48,960 --> 00:43:50,960
Speaker 2: just like, this is amazing.

802
00:43:51,560 --> 00:43:57,400
Speaker 1: It certainly is exciting, which the fabric walls of a

803
00:43:57,480 --> 00:44:04,000
Speaker 1: tent clearly do not and did not contain. Here's where

804
00:44:04,520 --> 00:44:08,960
Speaker 1: Steven Morris just serves it up. Hot quote. There was

805
00:44:09,000 --> 00:44:13,719
Speaker 1: a karaoke machine there for a time. I can I

806
00:44:13,760 --> 00:44:16,760
Speaker 1: can deal with people having sex that sound I'll laugh,

807
00:44:17,080 --> 00:44:22,520
Speaker 1: you know, hilarious karaoke? No, it better be. No. You

808
00:44:22,600 --> 00:44:24,600
Speaker 1: gotta get me in the right mood to get me

809
00:44:24,840 --> 00:44:26,359
Speaker 1: to enjoy a karaoke night.

810
00:44:26,480 --> 00:44:30,200
Speaker 2: To hear other people doing karaoke and you have nothing

811
00:44:30,239 --> 00:44:32,560
Speaker 2: to do with them, it's maybe the worst sound in

812
00:44:32,600 --> 00:44:36,120
Speaker 2: the world. It is next to like weird, next to

813
00:44:36,719 --> 00:44:40,560
Speaker 2: like a like a food disposal like where something plastic

814
00:44:40,640 --> 00:44:44,640
Speaker 2: is stuck in it, and chalk nails across the chalkboard.

815
00:44:44,680 --> 00:44:45,480
Speaker 2: I would say.

816
00:44:45,680 --> 00:44:47,720
Speaker 1: Karaoke is weird because if it's really bad, it's great.

817
00:44:47,840 --> 00:44:50,759
Speaker 1: Like if somebody's terrible, it's great. And if somebody can

818
00:44:51,320 --> 00:44:54,239
Speaker 1: really sing, like if Selene Dion gets up there, you go,

819
00:44:54,320 --> 00:44:56,800
Speaker 1: this is amazing. And then kind of everybody in between

820
00:44:56,920 --> 00:45:00,560
Speaker 1: is annoying. Yeah, and I think the point of is

821
00:45:00,600 --> 00:45:02,840
Speaker 1: for everybody in between. But I like the people that

822
00:45:02,880 --> 00:45:06,480
Speaker 1: are so bad that you're like they needed this this,

823
00:45:06,480 --> 00:45:10,360
Speaker 1: this person needed to get up here and sing Islands

824
00:45:10,360 --> 00:45:12,600
Speaker 1: in the Stream, or somebody that's so good that you're like,

825
00:45:12,640 --> 00:45:14,600
Speaker 1: you should move to New York right now.

826
00:45:14,840 --> 00:45:17,560
Speaker 2: But even when that, when someone's so good, you're just like, oh,

827
00:45:17,600 --> 00:45:22,160
Speaker 2: I wish you were doing this professionally. Oh, it makes

828
00:45:22,200 --> 00:45:24,680
Speaker 2: me sad that this dream died for you.

829
00:45:25,480 --> 00:45:28,160
Speaker 1: There was a young woman in Tahiti who would sing

830
00:45:28,200 --> 00:45:31,000
Speaker 1: at the Blue Banana. When I was out there were

831
00:45:31,040 --> 00:45:34,800
Speaker 1: sung their multiple places. I saw her and she was young,

832
00:45:35,120 --> 00:45:38,879
Speaker 1: beautiful Polynesian woman, probably early twenties, and she could sing

833
00:45:38,960 --> 00:45:41,839
Speaker 1: the lights out and there was so you know, left

834
00:45:41,840 --> 00:45:44,520
Speaker 1: her alone obviously, but they's so big a part of

835
00:45:44,520 --> 00:45:47,920
Speaker 1: me that wanted to be like, hey, go give it

836
00:45:47,960 --> 00:45:51,120
Speaker 1: a try, go to the States. But I also maybe

837
00:45:51,120 --> 00:45:54,080
Speaker 1: she just cleans up singing at the Hilton. Yeah whatever

838
00:45:54,160 --> 00:45:56,719
Speaker 1: in the way and the blue banana, right, but she

839
00:45:56,880 --> 00:46:00,160
Speaker 1: was awesome. I was like, you should be singing. You

840
00:46:00,160 --> 00:46:01,600
Speaker 1: need to meet the rock. He's going to put you

841
00:46:01,600 --> 00:46:05,479
Speaker 1: in something. There was a karaoke machine there for a time,

842
00:46:05,520 --> 00:46:10,320
Speaker 1: and on one notable Sunday afternoon, whilst trying to enjoy

843
00:46:10,360 --> 00:46:13,440
Speaker 1: our garden with friends, we had to instead listen to

844
00:46:13,480 --> 00:46:16,399
Speaker 1: a couple blaring out Islands in the stream over and over,

845
00:46:16,600 --> 00:46:20,080
Speaker 1: diluded in thinking they were Dolly Parton and Kenny Rogers

846
00:46:20,560 --> 00:46:23,160
Speaker 1: the over and over. I mean, how many times did

847
00:46:23,160 --> 00:46:27,239
Speaker 1: they sing this? And are they just drunk British people? Yes,

848
00:46:27,400 --> 00:46:32,360
Speaker 1: they probably were. The council refused phase planning application. The

849
00:46:32,400 --> 00:46:35,160
Speaker 1: case officer dealing with the complaint said the area where

850
00:46:35,239 --> 00:46:37,759
Speaker 1: the tents have been located is in a part of

851
00:46:37,800 --> 00:46:40,759
Speaker 1: the garden close to nearby residential properties. The tents are

852
00:46:40,800 --> 00:46:44,319
Speaker 1: constructed of a thin canvas material and therefore lacks soundproofing.

853
00:46:45,120 --> 00:46:47,719
Speaker 1: Fee who described yourself as a born and bred New

854
00:46:47,760 --> 00:46:50,799
Speaker 1: Forest girl. That's a cool way to So I'm going

855
00:46:50,880 --> 00:46:53,000
Speaker 1: to describe myself as a born in Britain too.

856
00:46:52,840 --> 00:46:53,680
Speaker 2: Fares Curl.

857
00:46:55,600 --> 00:46:58,440
Speaker 1: There is. There's my friend over there, born and bred

858
00:46:58,440 --> 00:47:02,520
Speaker 1: New Forest girl, Kurt Brown with a genuine love for

859
00:47:02,600 --> 00:47:05,360
Speaker 1: the area, and the people who live here declined to comment.

860
00:47:06,760 --> 00:47:10,200
Speaker 1: And that's it. So yeah, it sounds like the Secret

861
00:47:10,200 --> 00:47:13,359
Speaker 1: Garden lamping is going. Oh my god, I am sure.

862
00:47:13,440 --> 00:47:16,560
Speaker 2: Well, that reminds me before we wrap this episode up,

863
00:47:16,840 --> 00:47:18,560
Speaker 2: this is one thing I did want to mention. It's

864
00:47:18,600 --> 00:47:22,960
Speaker 2: not enough to do a full thing on, but for

865
00:47:23,080 --> 00:47:28,600
Speaker 2: my Jersey Been animals, this is so insane. You've you've

866
00:47:28,640 --> 00:47:32,440
Speaker 2: heard me talk about six Flags great Adventure drive.

867
00:47:32,239 --> 00:47:37,320
Speaker 1: Through Safari, one of the greatest. Yeah, yeah, so Thetories.

868
00:47:38,400 --> 00:47:43,719
Speaker 2: They are opening a glamping resort inside the drive through

869
00:47:43,800 --> 00:47:45,800
Speaker 2: Safari at six Flags.

870
00:47:47,600 --> 00:47:49,719
Speaker 1: Wow, this can't go well.

871
00:47:49,800 --> 00:47:54,680
Speaker 2: No, there's twelve hundred animals that live there. This was

872
00:47:54,760 --> 00:47:56,960
Speaker 2: I found this on Blue Loop.

873
00:47:58,640 --> 00:48:00,560
Speaker 1: Oh you found this on Blue Loop. You were just

874
00:48:00,719 --> 00:48:03,280
Speaker 1: you know, you woke up, you're powered up your iPad,

875
00:48:03,440 --> 00:48:06,480
Speaker 1: you a op your favorite.

876
00:48:06,000 --> 00:48:11,080
Speaker 2: Web b l o O l oop Blue loop uh

877
00:48:11,320 --> 00:48:16,040
Speaker 2: blue loop dot com. And yeah, so Savannah Sunset resortant

878
00:48:16,080 --> 00:48:19,520
Speaker 2: spot is set to open this this summer. And it's

879
00:48:19,600 --> 00:48:23,359
Speaker 2: like it's tent like tent tops on, I mean what

880
00:48:23,640 --> 00:48:28,560
Speaker 2: and there's animals right there. It's like animals. I mean already,

881
00:48:28,600 --> 00:48:32,399
Speaker 2: these animals are getting like you're already driving cars through

882
00:48:32,400 --> 00:48:34,120
Speaker 2: where they live. Now you're gonna have a little.

883
00:48:34,000 --> 00:48:37,839
Speaker 1: House windshield wipers off, so it shower pal.

884
00:48:38,120 --> 00:48:42,200
Speaker 2: They do it every single time. Yeah, that's so insane. Anyway,

885
00:48:42,239 --> 00:48:44,400
Speaker 2: I just wanted to mention that since it was a glamping.

886
00:48:44,200 --> 00:48:46,440
Speaker 1: Well they should go. What you're saying is our banannimals.

887
00:48:46,440 --> 00:48:48,840
Speaker 1: Even though we think this is near death, you should

888
00:48:48,920 --> 00:48:53,160
Speaker 1: go and glamp there. Somebody I want to know, Well,

889
00:48:53,239 --> 00:48:55,320
Speaker 1: thank you so much, Scotti. Thank you to everyone listening

890
00:48:55,320 --> 00:48:59,440
Speaker 1: to the Bananas. We love you guys. Send in whatever

891
00:48:59,480 --> 00:49:01,759
Speaker 1: you want. We'll see everybody when we go on tour.

892
00:49:01,800 --> 00:49:03,560
Speaker 1: We might be adding a couple more dates to this

893
00:49:03,640 --> 00:49:08,480
Speaker 1: spring and summer. But thanks for the unending and increasing

894
00:49:08,840 --> 00:49:12,160
Speaker 1: and growing support. We love doing the podcast.

895
00:49:13,120 --> 00:49:15,680
Speaker 2: Bananas.

896
00:49:25,440 --> 00:49:28,399
Speaker 1: Bananas is an exactly right. Media Production, our.

897
00:49:28,320 --> 00:49:30,360
Speaker 2: Producer and engineer is Katie Levine.

898
00:49:30,760 --> 00:49:34,000
Speaker 1: The catchy Bananas theme song was composed and performed by Kahan.

899
00:49:34,239 --> 00:49:37,600
Speaker 2: Artwork for Bananas was designed by Travis Millard.

900
00:49:37,560 --> 00:49:40,400
Speaker 1: And our benevolent overlords are the Great Karen Kilgareff and

901
00:49:40,440 --> 00:49:41,280
Speaker 1: Georgia Hartstart

902
00:49:41,400 --> 00:49:44,240
Speaker 2: And Lisa Maggott is our full human, not a robot

903
00:49:44,280 --> 00:49:45,720
Speaker 2: intern