1
00:00:00,360 --> 00:00:03,400
Speaker 1: It's KFI AM six forty and you're listening to the

2
00:00:03,480 --> 00:00:09,159
Speaker 1: Conway Show on demand on the iHeartRadio app. Look at

3
00:00:09,160 --> 00:00:14,640
Speaker 1: that Dodge dealership in San Fernando. Yeah, I'm Rydel Dodge.

4
00:00:14,760 --> 00:00:18,279
Speaker 1: They jumped on the opportunity to help me out my

5
00:00:18,400 --> 00:00:23,200
Speaker 1: van odds Dodge. They shine me off, treated me poorly.

6
00:00:23,800 --> 00:00:26,279
Speaker 1: So now all the other Dodge dealerships are romancing me

7
00:00:27,120 --> 00:00:30,160
Speaker 1: and I may end up at the Rye Del Dodge people.

8
00:00:30,680 --> 00:00:33,440
Speaker 1: They're in San Fernando. Also another great Dodge dealership in

9
00:00:33,560 --> 00:00:37,920
Speaker 1: San Juan Capistrano. So thank you those who called. And

10
00:00:38,040 --> 00:00:40,320
Speaker 1: also somebody says you want to reach the CEO of

11
00:00:40,320 --> 00:00:43,279
Speaker 1: that dealership. It's pretty great. Thank you everybody, and I'll

12
00:00:43,280 --> 00:00:45,080
Speaker 1: follow up as soon as we're off the air. It

13
00:00:45,120 --> 00:00:47,199
Speaker 1: is KFI AM six forty. We're live everywhere in the

14
00:00:47,200 --> 00:00:50,520
Speaker 1: iHeartRadio app. Our audience is so terrific. Mark Thompson sitting

15
00:00:50,560 --> 00:00:54,400
Speaker 1: in for Tim Conway Junior next week. Conway moves tonight,

16
00:00:54,440 --> 00:00:57,720
Speaker 1: So it'll start on Tuesday from six to ten and

17
00:00:57,760 --> 00:01:01,240
Speaker 1: your daytime will change up ever so slightly with the

18
00:01:01,400 --> 00:01:07,800
Speaker 1: real Cool addition to the lineup, Monks and Merrill from

19
00:01:07,840 --> 00:01:12,240
Speaker 1: noon to three and then on at three o'clock. It'll

20
00:01:12,240 --> 00:01:15,560
Speaker 1: be John Colebelt. He'll be three to six, and then

21
00:01:15,640 --> 00:01:17,480
Speaker 1: Conway comes on. Of course, prior to that it'll be

22
00:01:17,520 --> 00:01:22,680
Speaker 1: Gary and Shannon. Before that it's handled. So this this situation,

23
00:01:22,760 --> 00:01:25,720
Speaker 1: it's funny we're talking about Chris Merril too with with

24
00:01:25,800 --> 00:01:29,000
Speaker 1: Michael Munk should begins next week on KFIN because I

25
00:01:29,040 --> 00:01:31,279
Speaker 1: think you Chris Merrill, who just walked into the studio

26
00:01:31,280 --> 00:01:34,399
Speaker 1: and I just try to corroud you with Sharon, you

27
00:01:34,520 --> 00:01:38,679
Speaker 1: talk to the sheriff who is involved with this Nancy

28
00:01:38,720 --> 00:01:39,920
Speaker 1: Guthrie disappearance.

29
00:01:40,000 --> 00:01:42,160
Speaker 2: Yeah, yeah, Well I was not in Phoenix, and so

30
00:01:42,280 --> 00:01:43,920
Speaker 2: there were, you know, stories that would pop up out

31
00:01:43,959 --> 00:01:46,120
Speaker 2: of Pema County, which is a Tucson area, and so

32
00:01:46,360 --> 00:01:50,200
Speaker 2: he was. He's very uh it makes himself available to

33
00:01:50,200 --> 00:01:52,600
Speaker 2: the media pretty easily. He's not like hearing Bass. I mean,

34
00:01:52,640 --> 00:01:55,160
Speaker 2: it's a like you, if you call Chris Nanos, he'll

35
00:01:55,160 --> 00:01:58,520
Speaker 2: come on with it. He's pretty media savving in that regard.

36
00:01:58,600 --> 00:02:01,680
Speaker 1: I mean, I doubt he's ad the case quite as

37
00:02:01,920 --> 00:02:03,120
Speaker 1: demanding as this one, though.

38
00:02:03,040 --> 00:02:05,360
Speaker 3: And there's a lot of eyes on him.

39
00:02:05,360 --> 00:02:07,840
Speaker 2: There's a lot of criticisms, especially when it comes to

40
00:02:07,920 --> 00:02:10,720
Speaker 2: things like not sharing some of the evidence with the

41
00:02:10,800 --> 00:02:13,840
Speaker 2: FBI to take that to Quantico to get it tested. Instead,

42
00:02:13,880 --> 00:02:15,600
Speaker 2: he wants to send it to his own private lab

43
00:02:16,000 --> 00:02:19,720
Speaker 2: in Florida. And I don't know exactly why he would

44
00:02:19,960 --> 00:02:22,840
Speaker 2: shut the FBI out. Whether there's a mistrust with the FBI,

45
00:02:23,480 --> 00:02:25,600
Speaker 2: I don't know. Maybe there's a contract that he has

46
00:02:25,680 --> 00:02:28,120
Speaker 2: with the Florida lab. I don't have any idea sure,

47
00:02:28,400 --> 00:02:30,200
Speaker 2: So I'm not really sure. But I did see now

48
00:02:30,480 --> 00:02:33,040
Speaker 2: the breaking news that we're seeing it on the on

49
00:02:33,080 --> 00:02:37,560
Speaker 2: the the Chiron's on all the TV stations that Sheriff

50
00:02:37,600 --> 00:02:40,080
Speaker 2: Natal says, we have DNA, we just don't know whose

51
00:02:40,080 --> 00:02:40,360
Speaker 2: it is.

52
00:02:41,200 --> 00:02:43,600
Speaker 3: Well, here's what I do know about once you have DNA.

53
00:02:43,880 --> 00:02:46,119
Speaker 2: We saw this with the Golden State Killer was the first,

54
00:02:46,280 --> 00:02:48,399
Speaker 2: the first one, right and Mark, you and I talked

55
00:02:48,440 --> 00:02:50,519
Speaker 2: about this when it was breaking back in the day,

56
00:02:50,800 --> 00:02:53,679
Speaker 2: and and that is that now you can triangulate it

57
00:02:53,800 --> 00:02:57,079
Speaker 2: using some of the familial DNA through those those commercial

58
00:02:57,120 --> 00:03:00,240
Speaker 2: companies that are out there. So I think we might

59
00:03:00,240 --> 00:03:01,920
Speaker 2: be at a matter of time at this point.

60
00:03:02,000 --> 00:03:04,320
Speaker 3: I mean this is days now.

61
00:03:04,400 --> 00:03:06,079
Speaker 1: Sharon and I were talking about the fact that it's

62
00:03:06,160 --> 00:03:10,480
Speaker 1: so long now into this entire thing, and there's been

63
00:03:10,520 --> 00:03:14,560
Speaker 1: no proof of life. Generally, kidnapping situations are accompanied by

64
00:03:14,639 --> 00:03:17,200
Speaker 1: some proof of life and some sort of ransom demand.

65
00:03:17,760 --> 00:03:20,880
Speaker 1: And I get that there was that ransom demand that

66
00:03:20,919 --> 00:03:22,320
Speaker 1: came through the local TV station.

67
00:03:22,680 --> 00:03:25,560
Speaker 3: Seemed like a low number. Honestly in terms of what

68
00:03:25,600 --> 00:03:27,320
Speaker 3: they were asking. I don't know it was.

69
00:03:28,600 --> 00:03:31,320
Speaker 1: This thing has a lot around it, and as I say,

70
00:03:31,639 --> 00:03:33,760
Speaker 1: still no proof of life, a lot around it that

71
00:03:34,560 --> 00:03:39,000
Speaker 1: I can't quite fit into sort of any existing kidnapping narrative,

72
00:03:39,160 --> 00:03:39,920
Speaker 1: you know, which is.

73
00:03:39,880 --> 00:03:41,640
Speaker 2: Really interesting that you say that, because one of the

74
00:03:41,640 --> 00:03:43,200
Speaker 2: things that I'm going to talk about this evening too

75
00:03:43,280 --> 00:03:45,760
Speaker 2: is how we're all sort of taking the little bits

76
00:03:45,760 --> 00:03:48,040
Speaker 2: and pieces of the story that we do know, and

77
00:03:48,080 --> 00:03:50,400
Speaker 2: we're trying to have an understanding of it within our

78
00:03:50,400 --> 00:03:54,360
Speaker 2: own minds, like we're trying to reconcile using only limited information,

79
00:03:54,880 --> 00:03:57,560
Speaker 2: what could possibly be going on. And to your point, yeah,

80
00:03:57,560 --> 00:03:59,280
Speaker 2: that's a low amount. But then you hear about another

81
00:03:59,360 --> 00:04:01,600
Speaker 2: ransom demand. Somebody says it's two thousand dollars, somebody else

82
00:04:01,600 --> 00:04:03,840
Speaker 2: has a million, somebody else hays six million dollars, And

83
00:04:03,880 --> 00:04:06,640
Speaker 2: then we're left on the outside going what's fact, what's fiction?

84
00:04:06,880 --> 00:04:08,680
Speaker 2: And how do we reconcile that in our heads as

85
00:04:08,720 --> 00:04:10,560
Speaker 2: we watch this as spectators in the outside. And I

86
00:04:10,600 --> 00:04:13,760
Speaker 2: kind of feel bad for the whole Guthrie family because

87
00:04:13,800 --> 00:04:14,320
Speaker 2: here we are.

88
00:04:14,400 --> 00:04:17,920
Speaker 3: I mean, obviously we feel bad, but yeah.

89
00:04:17,720 --> 00:04:19,760
Speaker 2: I mean, can you imagine if you're going through the

90
00:04:19,760 --> 00:04:21,480
Speaker 2: most difficult time in your entire life and then you've

91
00:04:21,520 --> 00:04:23,880
Speaker 2: got the whole country that's hitting up the Reddit boards

92
00:04:23,880 --> 00:04:25,479
Speaker 2: to talk about what you're doing.

93
00:04:25,600 --> 00:04:28,320
Speaker 1: Yeah, that's horrifun And you're also wondering have we done

94
00:04:28,360 --> 00:04:30,520
Speaker 1: the right thing? Should we have done this? And people

95
00:04:31,200 --> 00:04:34,360
Speaker 1: are constantly second guessing you. Why didn't they do this?

96
00:04:34,400 --> 00:04:37,000
Speaker 1: Why didn't they did that? Why didn't the authorities moved

97
00:04:37,000 --> 00:04:38,920
Speaker 1: the stuff to Quantico? Why is it going to Florida?

98
00:04:38,920 --> 00:04:40,600
Speaker 1: Et cetera. These are things like oh yeah, yeah, yeah,

99
00:04:40,600 --> 00:04:42,320
Speaker 1: I mean yeah, what about that. I mean, you as

100
00:04:42,320 --> 00:04:44,920
Speaker 1: a family are having to live these second guesses as well.

101
00:04:45,240 --> 00:04:48,400
Speaker 1: I think it's very, very tough. Now, let's just talk

102
00:04:48,400 --> 00:04:50,919
Speaker 1: about the case for a second, since you do know

103
00:04:51,000 --> 00:04:54,159
Speaker 1: this case so well, and Bellio please feel free to

104
00:04:54,560 --> 00:04:57,400
Speaker 1: chime in as well, and Crozier for that matter, et cetera,

105
00:04:57,440 --> 00:05:00,719
Speaker 1: and Staffus and everyone. But I I just that Merril

106
00:05:00,839 --> 00:05:03,880
Speaker 1: has this sort of glanular knowledge of the sheriff and

107
00:05:03,960 --> 00:05:08,800
Speaker 1: that area. There's there was an additional glove found, right

108
00:05:08,839 --> 00:05:11,920
Speaker 1: there are three gloves found, I mean, which is again

109
00:05:12,240 --> 00:05:13,360
Speaker 1: just an odd thing.

110
00:05:13,440 --> 00:05:15,040
Speaker 3: I don't I can't quite square that.

111
00:05:15,240 --> 00:05:16,920
Speaker 2: So this is where I think it's gonna be really

112
00:05:16,920 --> 00:05:18,919
Speaker 2: interesting because now they have an idea they have to

113
00:05:18,920 --> 00:05:20,080
Speaker 2: look for the three handed man.

114
00:05:20,560 --> 00:05:21,080
Speaker 3: Yeah, and then.

115
00:05:21,000 --> 00:05:23,159
Speaker 2: They find out Well, but the question is where the

116
00:05:23,160 --> 00:05:27,440
Speaker 2: gloves come from? I mean, just because you found black gloves. Look,

117
00:05:27,520 --> 00:05:29,520
Speaker 2: if you go to my apartment right now, you're gonna

118
00:05:29,520 --> 00:05:31,479
Speaker 2: see I have a box of black gloves that I

119
00:05:31,600 --> 00:05:33,760
Speaker 2: use if I'm doing you know, whether it's house cleaning

120
00:05:33,839 --> 00:05:35,600
Speaker 2: or I'm working on my car, whatever it is. So sure,

121
00:05:35,800 --> 00:05:37,720
Speaker 2: what did those come from? The crime scene? You found

122
00:05:37,720 --> 00:05:40,719
Speaker 2: black gloves that could have been a landscaper who threw.

123
00:05:40,560 --> 00:05:41,080
Speaker 3: Them in the trail.

124
00:05:41,120 --> 00:05:44,480
Speaker 2: And also how sloppy of a kidnapper who wore a mask,

125
00:05:44,520 --> 00:05:46,800
Speaker 2: who knocked out the camera, who did all those different

126
00:05:46,800 --> 00:05:50,920
Speaker 2: things to just discard his gloves so nearby. I'm a

127
00:05:50,920 --> 00:05:53,040
Speaker 2: little skeptical about how the gloves really fit into this

128
00:05:53,080 --> 00:05:54,799
Speaker 2: gay Yeah. Interesting. Interesting.

129
00:05:55,279 --> 00:05:58,720
Speaker 1: Also, the disabling of the ring camera was something that

130
00:05:58,760 --> 00:05:59,840
Speaker 1: he was trying to do.

131
00:06:00,040 --> 00:06:01,480
Speaker 3: You were telling me about that, Sharon.

132
00:06:02,040 --> 00:06:04,360
Speaker 4: I heard this one of the experts talking about this

133
00:06:04,480 --> 00:06:09,480
Speaker 4: on podcasts that the vegetation that was pulled, he walks up,

134
00:06:09,720 --> 00:06:12,480
Speaker 4: you know, looks at the doorbell, turns around, goes to

135
00:06:12,560 --> 00:06:15,080
Speaker 4: the vegetation. You could see him like kind of pulling

136
00:06:15,120 --> 00:06:17,240
Speaker 4: at it to see if it would fall apart. And

137
00:06:17,279 --> 00:06:20,240
Speaker 4: so some people are saying that possibly he put it

138
00:06:20,279 --> 00:06:24,000
Speaker 4: to like behind the ring doorbell the nest doorbell to

139
00:06:24,080 --> 00:06:26,240
Speaker 4: pull it off, because those come off with like a

140
00:06:26,240 --> 00:06:28,840
Speaker 4: little key that you can kind of clip him off.

141
00:06:29,120 --> 00:06:30,800
Speaker 4: And so I think that kind of makes sense that

142
00:06:30,880 --> 00:06:32,919
Speaker 4: he wasn't really trying to hide his face. You had

143
00:06:32,960 --> 00:06:35,240
Speaker 4: already seen it, that he was trying to pull.

144
00:06:35,040 --> 00:06:37,840
Speaker 3: It off, Oh as a tool.

145
00:06:38,040 --> 00:06:40,479
Speaker 4: Yeah, yes, his vegetation as a tool, right.

146
00:06:41,400 --> 00:06:43,839
Speaker 3: I mean, I don't know.

147
00:06:45,600 --> 00:06:48,440
Speaker 1: There was maybe a false hope, but it seemed like

148
00:06:48,480 --> 00:06:52,240
Speaker 1: a sort of legitimate hope that the video would yield

149
00:06:52,360 --> 00:06:55,720
Speaker 1: some sort of lead. But it doesn't feel as though

150
00:06:55,720 --> 00:06:58,080
Speaker 1: there's any hot lead that we've found out about anyway

151
00:06:58,080 --> 00:06:58,599
Speaker 1: through media.

152
00:06:58,720 --> 00:07:00,719
Speaker 3: No. And I think that's mean the guy was wearing

153
00:07:00,760 --> 00:07:01,360
Speaker 3: a scheme mask.

154
00:07:01,640 --> 00:07:03,960
Speaker 2: I mean, obviously we know they're saying it was a

155
00:07:04,000 --> 00:07:08,960
Speaker 2: white guy about however, tall sharing fellow.

156
00:07:09,080 --> 00:07:11,320
Speaker 3: Yeah, just a little feller, he'll tell you.

157
00:07:11,160 --> 00:07:14,560
Speaker 2: Compared to sixty three yeah yeah, so yeah, I mean,

158
00:07:14,840 --> 00:07:17,080
Speaker 2: how many how many guys are you know, white guys

159
00:07:17,080 --> 00:07:19,280
Speaker 2: that are five ten in Tucson.

160
00:07:19,360 --> 00:07:21,600
Speaker 3: I mean it's a town that's got two million people.

161
00:07:22,040 --> 00:07:25,960
Speaker 1: So I just think all show that we're talking about

162
00:07:26,000 --> 00:07:29,560
Speaker 1: the blood at the scene. She's an elderly lady, I mean,

163
00:07:29,760 --> 00:07:32,520
Speaker 1: eighty four years no proof of life. Like you said, Mark,

164
00:07:32,760 --> 00:07:36,080
Speaker 1: I think I'm I'm I've got a pretty grim you know.

165
00:07:36,600 --> 00:07:40,520
Speaker 1: I certainly pray that this lady is still alive. But wow,

166
00:07:41,520 --> 00:07:45,720
Speaker 1: that had four thousand calls into their into their tip line.

167
00:07:45,800 --> 00:07:48,080
Speaker 1: But again, you know those calls could be you know,

168
00:07:49,320 --> 00:07:51,400
Speaker 1: I'm guessing the majority of them are, you know, not

169
00:07:51,520 --> 00:07:52,080
Speaker 1: helping them for.

170
00:07:52,240 --> 00:07:54,120
Speaker 4: Well, you see all you know, lately they have all

171
00:07:54,120 --> 00:07:56,800
Speaker 4: these RN camera videos of people walking around in the

172
00:07:56,840 --> 00:07:59,040
Speaker 4: middle of the night with backpacks. There's been two that

173
00:07:59,080 --> 00:08:01,800
Speaker 4: they're looking at right now. So there are some leads

174
00:08:01,840 --> 00:08:06,400
Speaker 4: that I think releasing the videos has brought them.

175
00:08:06,480 --> 00:08:08,760
Speaker 1: So they're offering a fifty thousand dollars reward for the

176
00:08:08,760 --> 00:08:11,800
Speaker 1: information on to one on her yew, it's up to

177
00:08:11,800 --> 00:08:15,240
Speaker 1: one hundred thousand. Now, yeah, anyway, that's the latest. There

178
00:08:15,320 --> 00:08:21,120
Speaker 1: is hope, there is DNA apparently, but the time sadly

179
00:08:21,240 --> 00:08:25,040
Speaker 1: has really clicked along. And she's a lady who needs medication.

180
00:08:25,240 --> 00:08:28,560
Speaker 1: She's eighty four. This is an insanely traumatic experience and

181
00:08:28,600 --> 00:08:30,840
Speaker 1: it would love that you know so much about it, Chris,

182
00:08:30,880 --> 00:08:33,320
Speaker 1: and look forward to listening to you tonight and in

183
00:08:33,360 --> 00:08:34,520
Speaker 1: your new time period next week.

184
00:08:34,640 --> 00:08:35,880
Speaker 3: So thanks Marc, we appreciate that.

185
00:08:35,960 --> 00:08:38,680
Speaker 1: Yeah, noon to three, Thank you, Sharon Bellio, And don't

186
00:08:38,679 --> 00:08:40,880
Speaker 1: go anywhere, Sharon Bellio, because you still have forty five

187
00:08:40,920 --> 00:08:43,400
Speaker 1: minutes of radio content to provide.

188
00:08:44,160 --> 00:08:48,520
Speaker 5: You're listening to Tim Conwayjunire on demand from KFI AM

189
00:08:48,600 --> 00:08:49,200
Speaker 5: six forty.

190
00:08:51,559 --> 00:08:55,440
Speaker 1: Let's see Monday's President's Day right. Conway will be back

191
00:08:55,520 --> 00:08:56,400
Speaker 1: for that.

192
00:08:56,559 --> 00:08:57,040
Speaker 3: N'll be his.

193
00:08:57,120 --> 00:08:59,320
Speaker 1: Last show, so you definitely want to check that out

194
00:08:59,360 --> 00:09:03,120
Speaker 1: before he moves to Knights and Culba goes back to

195
00:09:03,520 --> 00:09:07,400
Speaker 1: that time period and as I say, Monks and maryl

196
00:09:07,480 --> 00:09:09,520
Speaker 1: before that, Gary and Shanna before that, and Bill Handler

197
00:09:09,600 --> 00:09:14,920
Speaker 1: before that. The AI domination game has led to many

198
00:09:16,000 --> 00:09:20,960
Speaker 1: saying that the world is truly in peril and an

199
00:09:20,960 --> 00:09:24,720
Speaker 1: AI safety leader said those exact words. The world is

200
00:09:24,760 --> 00:09:28,920
Speaker 1: in peril and has literally pushed away from the world

201
00:09:28,960 --> 00:09:32,200
Speaker 1: of AI. This is where he's spent the majority of

202
00:09:32,240 --> 00:09:37,600
Speaker 1: his professional life. And well, don't take my word for it.

203
00:09:37,600 --> 00:09:38,320
Speaker 1: Here's what's going on.

204
00:09:38,440 --> 00:09:43,000
Speaker 6: Very positive experiences, there are significant concerns with safety, privacy,

205
00:09:43,120 --> 00:09:47,360
Speaker 6: and ethical standards. Doctor su Varma is Aboard certified psychiatrist

206
00:09:47,440 --> 00:09:48,920
Speaker 6: and author of the book Why do you think more

207
00:09:48,920 --> 00:09:52,680
Speaker 6: people are choosing the chatbots over over friends, family, and

208
00:09:52,720 --> 00:09:53,720
Speaker 6: professional doctors?

209
00:09:53,880 --> 00:09:55,680
Speaker 7: You know, we used to think that it was because

210
00:09:55,720 --> 00:10:00,240
Speaker 7: of lack of accessibility, affordability, stigma, but gil this is

211
00:10:00,280 --> 00:10:04,959
Speaker 7: so fascinating. It's fear of judgment, right, and we feel

212
00:10:04,960 --> 00:10:06,760
Speaker 7: that this is a safe space that we can get

213
00:10:06,840 --> 00:10:11,120
Speaker 7: instant advice. It's immediate gratification and the need that there's

214
00:10:11,320 --> 00:10:13,960
Speaker 7: for constant support and reassurance. There's a lot happening in

215
00:10:14,000 --> 00:10:15,760
Speaker 7: the world and people are like, I just need a

216
00:10:15,800 --> 00:10:18,079
Speaker 7: quick go too. But there is a price, and it's

217
00:10:18,200 --> 00:10:20,120
Speaker 7: very important that we understand the limitations.

218
00:10:20,160 --> 00:10:22,160
Speaker 6: Well, I hear what you say about the immediate gratification,

219
00:10:22,240 --> 00:10:23,920
Speaker 6: but I have friends who use it that say it's

220
00:10:23,960 --> 00:10:26,760
Speaker 6: actually very good that they will do you hear that

221
00:10:26,760 --> 00:10:29,839
Speaker 6: that they will put in specific conversations he said this,

222
00:10:30,000 --> 00:10:32,200
Speaker 6: I said this, he said this, what should I say?

223
00:10:32,200 --> 00:10:34,800
Speaker 6: And the advice it comes back they say is actually

224
00:10:34,880 --> 00:10:36,920
Speaker 6: very good and sounds tailor made for them.

225
00:10:37,120 --> 00:10:39,600
Speaker 7: Right. But the problem is, Gail, that it is overall

226
00:10:39,800 --> 00:10:43,040
Speaker 7: very generic. It does not understand the context of your life,

227
00:10:43,120 --> 00:10:46,920
Speaker 7: your lived experience, your unique situation and background, something that

228
00:10:47,000 --> 00:10:50,840
Speaker 7: only a trained therapist, through interaction in real time with

229
00:10:50,960 --> 00:10:54,199
Speaker 7: somebody would say. There's also an objective part of therapy,

230
00:10:54,240 --> 00:10:56,520
Speaker 7: which is like what we call the mental status exam,

231
00:10:56,679 --> 00:10:59,959
Speaker 7: looking at somebody's grooming, their hygiene, how well dressed they are,

232
00:11:00,080 --> 00:11:02,679
Speaker 7: eye contact, their behavior, are they fidgeting, are they moving?

233
00:11:02,720 --> 00:11:05,120
Speaker 7: Are they pacing? You can tell so much about a

234
00:11:05,120 --> 00:11:08,600
Speaker 7: person face to face. There's also the ethical standards of

235
00:11:08,880 --> 00:11:10,920
Speaker 7: discrimination and bias, which we know a lot of the

236
00:11:11,000 --> 00:11:14,199
Speaker 7: LMS have. They don't understand the culture, the context, religion.

237
00:11:14,320 --> 00:11:15,000
Speaker 6: With the LM.

238
00:11:15,920 --> 00:11:17,400
Speaker 7: These large language models.

239
00:11:17,120 --> 00:11:17,679
Speaker 3: Are all right.

240
00:11:17,920 --> 00:11:19,839
Speaker 1: If you have to ask what LLLM is and you're

241
00:11:19,880 --> 00:11:21,600
Speaker 1: hosting the segment, I mean, I don't know, did you know?

242
00:11:21,920 --> 00:11:22,240
Speaker 3: Anyway?

243
00:11:22,240 --> 00:11:24,120
Speaker 1: I'm sorry, I don't mean to be taking a cheap shot,

244
00:11:24,200 --> 00:11:31,440
Speaker 1: but to be fair, this is the deception. They talk

245
00:11:31,520 --> 00:11:37,560
Speaker 1: to you because it is a language model that does

246
00:11:37,840 --> 00:11:40,640
Speaker 1: learn how to interact with you. And they talked. And

247
00:11:40,800 --> 00:11:42,640
Speaker 1: by the way, LM, I'm not saying everybody should know it.

248
00:11:42,679 --> 00:11:45,280
Speaker 1: I just thought she should know it. She's hosting that segment.

249
00:11:45,600 --> 00:11:51,400
Speaker 1: But I do think that that it creates a seductive

250
00:11:51,600 --> 00:11:54,199
Speaker 1: kind of back and forth you end up talking. I

251
00:11:54,800 --> 00:11:58,679
Speaker 1: think I told the story here on KFI about mourning

252
00:11:59,200 --> 00:12:01,560
Speaker 1: the loss of a and not being able to get

253
00:12:01,600 --> 00:12:05,360
Speaker 1: over it three days later and being so overwhelmed with grief,

254
00:12:05,800 --> 00:12:11,600
Speaker 1: and I actually went on to AI and I described

255
00:12:11,960 --> 00:12:14,160
Speaker 1: in great detail, which is the way you need to

256
00:12:14,160 --> 00:12:17,079
Speaker 1: interact with AI. Generally, of course, you need the more information,

257
00:12:17,240 --> 00:12:21,760
Speaker 1: specific detailed information you can provide, the better response you'll get.

258
00:12:21,800 --> 00:12:24,000
Speaker 1: And this is not a vote for or against AI.

259
00:12:24,840 --> 00:12:29,600
Speaker 1: But I was so full of grief that I and

260
00:12:29,640 --> 00:12:32,000
Speaker 1: I talked to all my friends and there is a

261
00:12:32,080 --> 00:12:37,760
Speaker 1: quality of like, I don't want to burden anybody over

262
00:12:37,880 --> 00:12:41,920
Speaker 1: and I've been through it with my wife and I've

263
00:12:41,960 --> 00:12:45,080
Speaker 1: been through it with everybody, and I'm still overcome and

264
00:12:45,120 --> 00:12:47,439
Speaker 1: i can't sleep and I'm in tears and the loss

265
00:12:47,440 --> 00:12:50,520
Speaker 1: of this pet. So I mentioned this because I think

266
00:12:50,559 --> 00:12:54,360
Speaker 1: it's instructional. So I introduced all of these details about

267
00:12:54,360 --> 00:12:56,720
Speaker 1: how I was feeling, but also about my relationship with

268
00:12:57,040 --> 00:13:01,040
Speaker 1: the pet, how long the little French she had been around,

269
00:13:01,080 --> 00:13:03,679
Speaker 1: and how I'd interacted with her, and how she'd been

270
00:13:03,679 --> 00:13:06,440
Speaker 1: a part of this and that, and how the struggle

271
00:13:06,520 --> 00:13:09,640
Speaker 1: over her health care had involved a surgery and involved

272
00:13:09,640 --> 00:13:12,679
Speaker 1: false hope, it involved her coming through the surgery positively

273
00:13:12,720 --> 00:13:15,240
Speaker 1: and then losing her a day later. There was an

274
00:13:15,320 --> 00:13:17,800
Speaker 1: emotional ride that I wanted to tell you, and I

275
00:13:17,800 --> 00:13:20,080
Speaker 1: had no idea whether it was going to work for

276
00:13:20,120 --> 00:13:23,280
Speaker 1: the AI thing. I was just almost trying to unload it,

277
00:13:23,360 --> 00:13:25,920
Speaker 1: you know, so I'm trying to like just clear my

278
00:13:26,000 --> 00:13:30,559
Speaker 1: head of it. And what followed was a response from

279
00:13:30,559 --> 00:13:37,280
Speaker 1: the AI that was so and again, this is imaginary, right,

280
00:13:37,559 --> 00:13:39,960
Speaker 1: it doesn't it's a machine and it doesn't know me.

281
00:13:40,640 --> 00:13:43,599
Speaker 1: But the way it spoke to me, the way it

282
00:13:43,800 --> 00:13:48,079
Speaker 1: spelled out, Mark, I understand how long you'd known Frenchy,

283
00:13:48,200 --> 00:13:52,040
Speaker 1: I understand the relationship you had. I understand how difficult

284
00:13:52,080 --> 00:13:54,360
Speaker 1: this must be. I mean, I'm giving you kind of

285
00:13:54,360 --> 00:14:00,840
Speaker 1: a generic response. But then it used all of these

286
00:14:01,240 --> 00:14:08,080
Speaker 1: psychological grief related coherent ways to try to get me

287
00:14:08,320 --> 00:14:12,200
Speaker 1: through it, meaning it was a distillation of all that

288
00:14:12,200 --> 00:14:14,160
Speaker 1: stuff you would have seen in all the books about

289
00:14:14,240 --> 00:14:19,520
Speaker 1: grief and loss, and in that way, it's what I

290
00:14:19,600 --> 00:14:21,960
Speaker 1: needed to hear at that time. It's what I needed

291
00:14:22,000 --> 00:14:25,200
Speaker 1: to read. Now, maybe if I had just read a

292
00:14:25,280 --> 00:14:27,040
Speaker 1: chapter or two about it, I would have had the

293
00:14:27,040 --> 00:14:33,080
Speaker 1: same effect. But it was that language model to which

294
00:14:33,160 --> 00:14:37,160
Speaker 1: they've referred in this interview that sucked me in. And

295
00:14:37,200 --> 00:14:40,720
Speaker 1: you can say that was a terrific way to get

296
00:14:40,760 --> 00:14:44,040
Speaker 1: me past it, but it's also and this is what

297
00:14:44,120 --> 00:14:48,560
Speaker 1: the psychiatrist is saying, the danger is that you are

298
00:14:49,280 --> 00:14:54,280
Speaker 1: getting into a relationship with something that really doesn't understand

299
00:14:54,760 --> 00:14:59,280
Speaker 1: how to handle your psychological grief, how your psychological challenges,

300
00:14:59,320 --> 00:15:02,760
Speaker 1: your life challenge. Lee just actually proceed and it's giving you,

301
00:15:02,840 --> 00:15:07,800
Speaker 1: in a way canned answers, but they seem personal because

302
00:15:07,880 --> 00:15:10,760
Speaker 1: of the language model. I mean, if you've interacted with AI,

303
00:15:10,760 --> 00:15:13,920
Speaker 1: it's amazing. I mean, it just does feel like it's

304
00:15:13,960 --> 00:15:19,680
Speaker 1: really speaking to you. But what's rapidly happening is there

305
00:15:19,720 --> 00:15:23,320
Speaker 1: are a lot of people, younger people particularly, who have

306
00:15:23,480 --> 00:15:29,640
Speaker 1: succumbed to the advice of AI, and it's led to

307
00:15:29,680 --> 00:15:34,600
Speaker 1: some very dark places. So in a nutshell. That is

308
00:15:34,640 --> 00:15:40,320
Speaker 1: the AI problem, and it's leading to resignations at many

309
00:15:40,360 --> 00:15:44,000
Speaker 1: of these AI companies, high level resignations because they feel

310
00:15:44,360 --> 00:15:48,280
Speaker 1: the future of AI can be very dark. It's definitely here, though,

311
00:15:48,800 --> 00:15:53,440
Speaker 1: dark or light. AI is here to stay tops in here.

312
00:15:53,440 --> 00:15:56,280
Speaker 1: For Conway, we are KFIAM six forty live everywhere on

313
00:15:56,320 --> 00:15:57,520
Speaker 1: the iHeartRadio app.

314
00:15:58,240 --> 00:16:01,960
Speaker 5: You're listening to Tim Conway's Junior on demand from KFI

315
00:16:02,240 --> 00:16:04,960
Speaker 5: AM sixty.

316
00:16:05,560 --> 00:16:09,000
Speaker 1: That's a super inside joke for all of you p ones,

317
00:16:09,840 --> 00:16:13,040
Speaker 1: all of you regular listeners. You know, it's the third

318
00:16:13,160 --> 00:16:18,520
Speaker 1: time that Steff has played that song today. I love it.

319
00:16:18,560 --> 00:16:21,280
Speaker 1: I busted him by accident. He had played a second

320
00:16:21,360 --> 00:16:26,280
Speaker 1: and now he's just rubbing it in. The Doobie Brothers, Yeah,

321
00:16:26,720 --> 00:16:28,280
Speaker 1: came out of the Bay Area. When I was up

322
00:16:28,280 --> 00:16:30,080
Speaker 1: in the Bay Area. Was a big deal back then,

323
00:16:30,120 --> 00:16:33,880
Speaker 1: steph oh Yeah, stefush I was on Bay Area TV.

324
00:16:33,960 --> 00:16:36,120
Speaker 3: It was a big deal. Used to hang out with

325
00:16:36,160 --> 00:16:39,920
Speaker 3: the Doobie Brothers. Did you really uh?

326
00:16:40,040 --> 00:16:47,800
Speaker 1: Their manager, that's quite different, a little different. Their manager

327
00:16:49,200 --> 00:16:52,120
Speaker 1: opened up a winery. You imagine, making all that Doobie

328
00:16:52,160 --> 00:16:56,520
Speaker 1: Brothers money. Then there was some big dispute with the

329
00:16:56,560 --> 00:17:00,240
Speaker 1: band when managers go back. Yeah, it was when when

330
00:17:00,360 --> 00:17:04,040
Speaker 1: hot managers go cold. It was really ugly. It was

331
00:17:04,119 --> 00:17:06,520
Speaker 1: so ugly that when I went back to the Bay

332
00:17:06,600 --> 00:17:11,280
Speaker 1: Area years later and I said, hey, what happened between

333
00:17:11,280 --> 00:17:13,320
Speaker 1: you know you and the Doobies, he said, oh, man,

334
00:17:13,359 --> 00:17:14,600
Speaker 1: I can't tell. He said, I want to tell you,

335
00:17:14,680 --> 00:17:17,320
Speaker 1: but I can. I signed a thing, and I mean

336
00:17:17,440 --> 00:17:20,840
Speaker 1: essentially he got you know, so I don't know what did.

337
00:17:20,920 --> 00:17:23,560
Speaker 1: I never did find out what happened. I'd heard rumors that,

338
00:17:23,640 --> 00:17:27,280
Speaker 1: you know, of all sorts of things, but clearly they

339
00:17:27,320 --> 00:17:29,479
Speaker 1: weren't happy with his management. I mean, there was a

340
00:17:29,720 --> 00:17:33,840
Speaker 1: huge lawsuit, but they were the hottest what was it,

341
00:17:34,160 --> 00:17:37,240
Speaker 1: would you say, seventies and eighties?

342
00:17:37,760 --> 00:17:40,240
Speaker 3: A little bit late seventies eighties?

343
00:17:40,320 --> 00:17:44,960
Speaker 1: Right, Yeah, there sound changed like when that song came out,

344
00:17:45,080 --> 00:17:47,159
Speaker 1: it wasn't Michael McDonald Doobie Brothers.

345
00:17:47,480 --> 00:17:49,680
Speaker 3: Then Michael McDonald showed up, and then you had to

346
00:17:49,840 --> 00:17:52,320
Speaker 3: maybe Tom Johnson, I think singing right there you go.

347
00:17:52,680 --> 00:17:57,720
Speaker 1: Yeah, interesting, this is Casey under the countdown your feet

348
00:17:57,760 --> 00:18:00,520
Speaker 1: on the ground. Yeah, they do be d he's taking

349
00:18:00,600 --> 00:18:04,639
Speaker 1: us number one on the Cinera Bank. The article that

350
00:18:04,760 --> 00:18:08,240
Speaker 1: jumped up, God don't want an't he great. You know

351
00:18:08,320 --> 00:18:11,600
Speaker 1: now they run I think like they're yeah, not even

352
00:18:11,640 --> 00:18:12,720
Speaker 1: find the stuff everywhere.

353
00:18:12,840 --> 00:18:15,000
Speaker 3: Yeah, they might even have it. I think they might

354
00:18:15,000 --> 00:18:19,960
Speaker 3: even have a station or a channel on iHeartRadio. They think, yeah, yeah,

355
00:18:20,000 --> 00:18:24,480
Speaker 3: it's great nostalgia. You know, Casey's Coast to coast.

356
00:18:24,720 --> 00:18:28,840
Speaker 1: Right, there's a if you can on YouTube, which I'm

357
00:18:28,960 --> 00:18:30,400
Speaker 1: you know now I'm on YouTube with the show.

358
00:18:30,440 --> 00:18:31,800
Speaker 3: So now I'm on YouTube all the time.

359
00:18:32,680 --> 00:18:38,320
Speaker 1: You can put in exactly what date, what Sunday or

360
00:18:38,320 --> 00:18:40,720
Speaker 1: a weekend you want, what week and then you could

361
00:18:40,720 --> 00:18:43,400
Speaker 1: find the Casey Caseum American Top forty for it.

362
00:18:43,400 --> 00:18:44,760
Speaker 3: It's kind of wild. You know.

363
00:18:45,000 --> 00:18:48,600
Speaker 1: There's a whole nostalgia thing, and it's fun to listen to.

364
00:18:48,720 --> 00:18:50,720
Speaker 1: But let me tell you, you think that you have more

365
00:18:50,760 --> 00:18:53,840
Speaker 1: patience for it than you do it doesn't, you know.

366
00:18:54,040 --> 00:18:56,119
Speaker 1: But hearing his stuff and here's talk ups, they're a

367
00:18:56,119 --> 00:19:00,960
Speaker 1: lot of fun. There's a miraculous anti aging vaccine. Apparently

368
00:19:01,480 --> 00:19:05,280
Speaker 1: there is an elixir I'm just reading about. This is

369
00:19:05,359 --> 00:19:10,120
Speaker 1: a vaccine that supposedly slows aging and cuts dementia risk.

370
00:19:12,080 --> 00:19:18,080
Speaker 1: And it is the shingles vaccine. I know you're saying,

371
00:19:18,080 --> 00:19:20,280
Speaker 1: wait a minute, that's the vaccine I've been putting off.

372
00:19:20,560 --> 00:19:24,680
Speaker 1: You know, there are two parts of the shingles vaccine.

373
00:19:24,720 --> 00:19:26,959
Speaker 1: You get one part and it may lay you up

374
00:19:27,000 --> 00:19:29,320
Speaker 1: for a little while, but or you know, you might

375
00:19:29,359 --> 00:19:31,920
Speaker 1: feel some effect or nothing at all. Then the second

376
00:19:31,920 --> 00:19:35,679
Speaker 1: part I've heard is the one that really lays you

377
00:19:35,720 --> 00:19:37,480
Speaker 1: out and can really make you feel bad.

378
00:19:37,720 --> 00:19:39,240
Speaker 3: But if.

379
00:19:40,520 --> 00:19:43,040
Speaker 1: Shingles are a terrible disease, have you ever had chicken pox?

380
00:19:44,600 --> 00:19:48,480
Speaker 1: This virus is inside your body, and shingles is sort

381
00:19:48,520 --> 00:19:53,040
Speaker 1: of the reactivation of this virus, and it's debilitating with

382
00:19:53,200 --> 00:19:58,880
Speaker 1: nerve pain. And the first shingle shot that will help

383
00:19:59,200 --> 00:20:02,679
Speaker 1: prevent shingle was an six and it was a huge

384
00:20:02,920 --> 00:20:07,000
Speaker 1: win for the medical profession of public health. But what

385
00:20:07,119 --> 00:20:11,440
Speaker 1: they've found in the last year, there's been a stream

386
00:20:11,520 --> 00:20:17,119
Speaker 1: of studies showing that the shingles vaccine doesn't just prevent shingles.

387
00:20:18,119 --> 00:20:22,960
Speaker 1: They track specific biomarkers in sampling, and it's making a

388
00:20:23,040 --> 00:20:26,840
Speaker 1: case that there's a genuine cause and effect between the

389
00:20:26,920 --> 00:20:33,960
Speaker 1: shingles vaccine and anti aging, anti dementia treatments. Now, obviously

390
00:20:34,040 --> 00:20:36,680
Speaker 1: they're going to need to build these studies out. They'll

391
00:20:36,680 --> 00:20:38,280
Speaker 1: have to be a lot more investment and a lot

392
00:20:38,320 --> 00:20:43,960
Speaker 1: more researchers who are working on this question, But you

393
00:20:44,080 --> 00:20:46,080
Speaker 1: also need a lot of people to take the vaccine

394
00:20:46,080 --> 00:20:48,520
Speaker 1: who aren't taking it because of that thing I'm talking about,

395
00:20:48,520 --> 00:20:51,479
Speaker 1: which is that there's a reaction. Apparently the singles vaccine

396
00:20:51,560 --> 00:20:57,240
Speaker 1: is just something that people avoid because again people are

397
00:20:57,680 --> 00:21:01,040
Speaker 1: put on Look, you know, if you're fifty years old

398
00:21:01,640 --> 00:21:05,520
Speaker 1: or older, you're eligible or they recommend the shingles vaccine,

399
00:21:06,119 --> 00:21:09,480
Speaker 1: and I know plenty of people who haven't taken it,

400
00:21:09,800 --> 00:21:13,240
Speaker 1: myself being one of them. It's like, oh, I know

401
00:21:13,280 --> 00:21:15,560
Speaker 1: I need to take it, but I know it's so

402
00:21:16,800 --> 00:21:24,439
Speaker 1: Apparently it reduces the risk of shingles substantially. And once again,

403
00:21:25,040 --> 00:21:29,000
Speaker 1: there may be a correlation between this vaccine and the

404
00:21:30,960 --> 00:21:35,160
Speaker 1: essentially in early research it staves off it would suggest dementia.

405
00:21:35,760 --> 00:21:38,200
Speaker 1: It would be an amazing thing if they really can

406
00:21:38,200 --> 00:21:42,200
Speaker 1: show this correlation. But look, if you're fifty or older,

407
00:21:43,040 --> 00:21:45,840
Speaker 1: you need this anyway. For the most part, they recommend it.

408
00:21:45,880 --> 00:21:50,639
Speaker 1: As I say, it's very effective in keeping at bay

409
00:21:50,840 --> 00:21:55,119
Speaker 1: this horribly debilitating thing. And it may have the additional

410
00:21:55,160 --> 00:21:58,920
Speaker 1: effect of keeping at bay something that we all worry about,

411
00:21:58,920 --> 00:22:03,720
Speaker 1: which is somehow you know, mental acuity slipping away right,

412
00:22:03,880 --> 00:22:08,080
Speaker 1: full blown dementia anyway, It's that simple. It's the shingle

413
00:22:08,240 --> 00:22:12,879
Speaker 1: potentially anyway, the shingles vaccine. So I said I was

414
00:22:12,920 --> 00:22:14,760
Speaker 1: going to get it this past week and I didn't,

415
00:22:14,960 --> 00:22:17,400
Speaker 1: but I'm close. You know, sometimes you have to say

416
00:22:17,400 --> 00:22:19,400
Speaker 1: it a few times and then you actually do it.

417
00:22:20,040 --> 00:22:21,800
Speaker 1: I'm going to work out. I'm going to work out.

418
00:22:21,800 --> 00:22:23,360
Speaker 1: I'm going to work out, and then you work out.

419
00:22:23,840 --> 00:22:28,040
Speaker 1: So that's the latest on that development.

420
00:22:29,040 --> 00:22:32,720
Speaker 5: You're listening to Tim Conway Junior on demand from KFI

421
00:22:33,040 --> 00:22:34,080
Speaker 5: AM six forty.

422
00:22:35,560 --> 00:22:38,359
Speaker 1: Have you seen the you're talking about AI before we

423
00:22:38,440 --> 00:22:40,000
Speaker 1: kind of talking about the heavy side. You know, the

424
00:22:40,000 --> 00:22:42,080
Speaker 1: way in which you can interact with AI, and it

425
00:22:42,160 --> 00:22:46,919
Speaker 1: has a it's a language model that allows us to

426
00:22:46,960 --> 00:22:51,520
Speaker 1: feel as though it's talking to us in really fairly convincing,

427
00:22:51,600 --> 00:22:55,520
Speaker 1: substantial and deep ways. But this is a different kind

428
00:22:55,600 --> 00:22:58,399
Speaker 1: of AI that you have no doubt seen on Instagram.

429
00:22:58,440 --> 00:23:01,720
Speaker 1: It's on social media everywhere. It's the way in which

430
00:23:02,320 --> 00:23:07,639
Speaker 1: AI generates images of celebrities. I get a ton of

431
00:23:07,680 --> 00:23:13,280
Speaker 1: the you know, of people who are on different sets

432
00:23:13,320 --> 00:23:16,320
Speaker 1: with different celebrities. They go from you know, different sitcom

433
00:23:16,400 --> 00:23:19,399
Speaker 1: sets to different movie sets. I've got a lot of

434
00:23:19,400 --> 00:23:24,000
Speaker 1: those also celebrities when they were young, then celebrities as

435
00:23:24,000 --> 00:23:26,240
Speaker 1: they're older, and some of them have passed away. I

436
00:23:26,280 --> 00:23:28,679
Speaker 1: get a lot of those. So these are images that

437
00:23:28,720 --> 00:23:35,280
Speaker 1: are being created by AI, and the most viral set

438
00:23:35,280 --> 00:23:39,160
Speaker 1: of images that have become an AI video most recently

439
00:23:40,600 --> 00:23:44,040
Speaker 1: are associated with the fifteen second AI video of Tom

440
00:23:44,119 --> 00:23:48,560
Speaker 1: Cruise and Brad Pitt. It's incredibly good.

441
00:23:48,640 --> 00:23:51,560
Speaker 3: Have you seen it? Yeah, I've seen it multiple times. Unreal.

442
00:23:52,040 --> 00:23:57,720
Speaker 1: It's it's a fight between these two and you know again,

443
00:23:57,760 --> 00:24:03,000
Speaker 1: it's like a movie fight between these two incredibly well known,

444
00:24:03,240 --> 00:24:06,479
Speaker 1: high profile celebrities. So we know what they look like like,

445
00:24:06,520 --> 00:24:11,840
Speaker 1: there's no fudging that, and it's crazy, and they look

446
00:24:11,920 --> 00:24:16,920
Speaker 1: like they've been like fighting for a couple hours exactly.

447
00:24:17,680 --> 00:24:22,440
Speaker 1: They're all carved up. Yeah, it's crazy. And this is

448
00:24:22,600 --> 00:24:28,000
Speaker 1: used Apparently this was created using a two line prompt

449
00:24:28,359 --> 00:24:33,000
Speaker 1: in a progrime called Sea Dance two point zero. It's

450
00:24:33,080 --> 00:24:37,960
Speaker 1: an AI video generator owned by Byte Dance, that Chinese company.

451
00:24:38,680 --> 00:24:44,920
Speaker 1: The same company developed TikTok, And there have been any

452
00:24:45,080 --> 00:24:52,280
Speaker 1: number of postings around this basically saying this is trouble

453
00:24:52,320 --> 00:24:58,960
Speaker 1: for Hollywood because you're able to generate this fifteen second video,

454
00:24:59,520 --> 00:25:01,480
Speaker 1: and if you were to put some money in time

455
00:25:01,560 --> 00:25:05,040
Speaker 1: behind it and some manpower behind it, you could generate

456
00:25:05,520 --> 00:25:10,520
Speaker 1: a whole film this way. And this same guy who

457
00:25:10,560 --> 00:25:16,199
Speaker 1: created this hair fighting again in sort of what is

458
00:25:16,240 --> 00:25:21,480
Speaker 1: a kind of classic movie fight sequence also posted a

459
00:25:21,520 --> 00:25:25,639
Speaker 1: thread showing different prompts like Brad Pitt fighting a zombie

460
00:25:25,760 --> 00:25:31,760
Speaker 1: ninja or both of these guys Pitt and Tom Cruise

461
00:25:31,920 --> 00:25:36,040
Speaker 1: fighting over the Epstein files. I mean, it became this

462
00:25:36,200 --> 00:25:41,879
Speaker 1: thing that he just worked with, and those who are

463
00:25:41,960 --> 00:25:45,440
Speaker 1: high profile in Hollywood, like the writer of Dead Bull

464
00:25:45,520 --> 00:25:51,280
Speaker 1: and Wolverine Rhet Reese. Rhet Reese said, I hate to

465
00:25:51,320 --> 00:25:55,800
Speaker 1: say it, but I think it's likely over for us now. Again,

466
00:25:56,000 --> 00:25:58,200
Speaker 1: there might have been a quality of like playing around

467
00:25:58,240 --> 00:26:02,720
Speaker 1: when he says that, but it definitely is real and

468
00:26:03,000 --> 00:26:09,359
Speaker 1: the technology is only going to become more refined. In fact,

469
00:26:09,640 --> 00:26:12,920
Speaker 1: Rees said, in next to no time, one person is

470
00:26:12,960 --> 00:26:15,160
Speaker 1: going to be able to sit at a computer create

471
00:26:15,240 --> 00:26:21,600
Speaker 1: a movie that's indistinguishable from what Hollywood now releases. True,

472
00:26:21,680 --> 00:26:23,960
Speaker 1: if that person is no good, the movie will suck.

473
00:26:24,480 --> 00:26:28,160
Speaker 1: But if that person possesses Christopher Nolan's talent and Christopher

474
00:26:28,240 --> 00:26:32,639
Speaker 1: Nolan's taste and someone like that will rapidly come along.

475
00:26:32,840 --> 00:26:36,000
Speaker 1: It's going to be a tremendous movie completely generated by AI.

476
00:26:38,040 --> 00:26:41,200
Speaker 1: Then he went on to say that AI tools could

477
00:26:41,200 --> 00:26:45,320
Speaker 1: empower young people who may feel locked out of the industry.

478
00:26:45,400 --> 00:26:50,680
Speaker 1: It may give them a technology that will lift their imagination,

479
00:26:51,280 --> 00:26:56,280
Speaker 1: also saying many writers and executives are already using the

480
00:26:56,320 --> 00:27:00,880
Speaker 1: technology of AI, but they're not admitting it. He went

481
00:27:00,920 --> 00:27:02,840
Speaker 1: on to say, and again, this is the writer of

482
00:27:03,000 --> 00:27:07,400
Speaker 1: Dead Bull and Wolverine. Hollywood has long been a gatekeeper

483
00:27:07,920 --> 00:27:12,480
Speaker 1: that comes along and keeps young, poor people away from

484
00:27:12,720 --> 00:27:17,119
Speaker 1: creative levers. When a young person with no capital sets

485
00:27:17,119 --> 00:27:20,800
Speaker 1: out to impress Hollywood, they will use tools like these

486
00:27:20,960 --> 00:27:25,920
Speaker 1: like AI, and young Chris Nolan's will be among them,

487
00:27:26,520 --> 00:27:30,480
Speaker 1: and amazing stuff will result, he wrote. And then he

488
00:27:30,520 --> 00:27:32,560
Speaker 1: went on to say, I suspect and I could be wrong.

489
00:27:32,640 --> 00:27:36,920
Speaker 1: He said that many screenwriters are using AI already heavily

490
00:27:37,560 --> 00:27:41,200
Speaker 1: in their writing, and many execs are using it heavily

491
00:27:42,000 --> 00:27:45,840
Speaker 1: in their analysis of writing. So hilariously, all the people

492
00:27:45,880 --> 00:27:52,240
Speaker 1: are sitting back watching as AI critiques what AI just created.

493
00:27:54,000 --> 00:27:56,360
Speaker 1: He says, Just to be clear, I'm not at all

494
00:27:56,400 --> 00:28:02,800
Speaker 1: excited about AI encroaching in creative endeavors. It's terrifying. So

495
00:28:02,880 --> 00:28:05,000
Speaker 1: many people I love, he says, are facing the loss

496
00:28:05,000 --> 00:28:09,600
Speaker 1: of careers they love. I myself am at risk, says

497
00:28:09,680 --> 00:28:15,720
Speaker 1: the writer of Deadpool and Wolverine. When I wrote it's over,

498
00:28:15,840 --> 00:28:18,080
Speaker 1: I didn't mean to sound cavalier or flipping. When he

499
00:28:18,080 --> 00:28:20,879
Speaker 1: says it's over for Hollywood, he said, I was just

500
00:28:20,920 --> 00:28:23,600
Speaker 1: blown away by the pit Versus cruise video because it's

501
00:28:23,600 --> 00:28:28,960
Speaker 1: so professional. That's exactly why I'm scared. My glass half

502
00:28:29,000 --> 00:28:32,240
Speaker 1: empty view is that Hollywood is about to be revolutionized,

503
00:28:33,400 --> 00:28:39,120
Speaker 1: slash decimated. If you think the pit Versus cruise video

504
00:28:39,280 --> 00:28:43,320
Speaker 1: is unimpressive slop, You've got nothing to worry about. But

505
00:28:44,160 --> 00:28:46,880
Speaker 1: I'm shook, meaning you're full of it. If you think

506
00:28:46,920 --> 00:28:51,440
Speaker 1: it's unimpressive, I mean, it's definitely impressive. When you can

507
00:28:51,440 --> 00:28:55,120
Speaker 1: sit back and be one of these posters on social

508
00:28:55,160 --> 00:28:57,560
Speaker 1: media and I can tell, I can tell it's ai.

509
00:28:57,680 --> 00:29:01,480
Speaker 1: I can tell. But what he's saying is, no, you can't.

510
00:29:01,640 --> 00:29:06,520
Speaker 1: It's incredible, and so something big is happening, is what

511
00:29:06,560 --> 00:29:07,040
Speaker 1: he's saying.

512
00:29:08,480 --> 00:29:08,760
Speaker 3: Now.

513
00:29:10,000 --> 00:29:11,920
Speaker 1: He goes on to say, I mean, this is a

514
00:29:12,040 --> 00:29:16,320
Speaker 1: lengthy piece because it's so very important to the life

515
00:29:16,680 --> 00:29:24,480
Speaker 1: blood of Hollywood, and that's creativity. Writers, directors, visionaries. They

516
00:29:24,520 --> 00:29:29,320
Speaker 1: work with us. You know them, all the people who

517
00:29:29,600 --> 00:29:32,600
Speaker 1: didn't even write the script, but they are in charge

518
00:29:32,640 --> 00:29:36,080
Speaker 1: of bringing the script to life through lighting, through special effects,

519
00:29:36,120 --> 00:29:39,200
Speaker 1: through sound design. These are all critical aspects of the

520
00:29:39,200 --> 00:29:40,640
Speaker 1: motion picture world.

521
00:29:41,840 --> 00:29:42,240
Speaker 3: He says.

522
00:29:42,240 --> 00:29:44,760
Speaker 1: The debate about whether AI is really getting better or

523
00:29:44,840 --> 00:29:47,000
Speaker 1: hitting a wall, which has been going on for a year,

524
00:29:47,480 --> 00:29:51,880
Speaker 1: is over. It's done. Anyone still making that argument either

525
00:29:51,920 --> 00:29:55,280
Speaker 1: hasn't used the current models, has an incentive to downplay

526
00:29:55,280 --> 00:29:58,680
Speaker 1: what's happening, or is evaluating based on an experiment from

527
00:29:58,800 --> 00:30:02,600
Speaker 1: twenty twenty four that isn't relevant anymore. He said. I

528
00:30:02,600 --> 00:30:04,280
Speaker 1: don't say that to be dismissive. I say it because

529
00:30:04,320 --> 00:30:07,600
Speaker 1: the gap between public perception and current reality is now enormous.

530
00:30:07,600 --> 00:30:11,280
Speaker 1: The gap is dangerous. It's preventing people from preparing for

531
00:30:11,320 --> 00:30:17,760
Speaker 1: the future. This is again a Chinese AI service called

532
00:30:17,920 --> 00:30:22,920
Speaker 1: Sea Dance two point zero, and the Motion Picture Association

533
00:30:23,160 --> 00:30:26,959
Speaker 1: is not happy about these guys. They've said by launching

534
00:30:26,960 --> 00:30:31,800
Speaker 1: a service that operates without meaningful safeguards against infringement, Byte

535
00:30:31,880 --> 00:30:34,360
Speaker 1: Dance and again, they're the same people who created TikTok.

536
00:30:34,720 --> 00:30:37,200
Speaker 1: They're the ones who created the Sea Dance. They are

537
00:30:37,240 --> 00:30:41,320
Speaker 1: disregarding well established copyright law that protects the rights of

538
00:30:41,400 --> 00:30:46,560
Speaker 1: creators and underpins millions of Americans jobs. Byte Dance should

539
00:30:46,600 --> 00:30:52,600
Speaker 1: immediately cease its infringing activity. This is real and there

540
00:30:52,800 --> 00:30:56,000
Speaker 1: is real intellectual property here that's being infringed upon. But

541
00:30:56,960 --> 00:31:00,280
Speaker 1: what they can do is begin to create the eight

542
00:31:00,360 --> 00:31:04,880
Speaker 1: content that doesn't use existing intellectual property. And they'll do

543
00:31:04,960 --> 00:31:10,360
Speaker 1: it again, conceivably with one guy just at a computer keyboard.

544
00:31:10,760 --> 00:31:15,160
Speaker 1: It's a real scary future for so many brilliant minds

545
00:31:15,160 --> 00:31:18,160
Speaker 1: in Hollywood that have flourished in all the ways that

546
00:31:18,240 --> 00:31:22,000
Speaker 1: creativity is honored in Hollywood. I'm not talking about just

547
00:31:22,040 --> 00:31:24,200
Speaker 1: actors and directors. I'm talking about again, as I said,

548
00:31:24,320 --> 00:31:27,920
Speaker 1: all those people that help create those experiences. Now, this

549
00:31:28,000 --> 00:31:33,240
Speaker 1: is a wild time in this town. So a wild

550
00:31:33,320 --> 00:31:38,240
Speaker 1: time here at KFI. Beginning next week on Tuesday, Conway

551
00:31:38,320 --> 00:31:44,560
Speaker 1: moves to nights six to ten, John Colebelt from three

552
00:31:44,600 --> 00:31:48,040
Speaker 1: to six, Monks and Merrill from noon to three, and

553
00:31:48,080 --> 00:31:52,320
Speaker 1: before that Gary and Shannon and before that Bill handle

554
00:31:53,000 --> 00:31:56,360
Speaker 1: it all starts on Tuesday. I'll see you Monday night

555
00:31:57,160 --> 00:32:01,400
Speaker 1: for President's Day to round Offsidentnesday, because I am the

556
00:32:01,440 --> 00:32:06,040
Speaker 1: President of KFI and don't you ever forget it, my

557
00:32:06,200 --> 00:32:11,520
Speaker 1: friend Chief, Yes, Hailton the Chief. Thanks everyone, have a

558
00:32:11,520 --> 00:32:15,360
Speaker 1: great weekend. Chris Merrill next on KFI AM six forty

559
00:32:15,400 --> 00:32:17,760
Speaker 1: Live everywhere on the iHeartRadio app