1
00:00:02,080 --> 00:00:04,560
Speaker 1: Just Ibato five here at fifty five KRCD talk station.

2
00:00:04,720 --> 00:00:08,399
Speaker 1: Happy Tuesday, Kevin Gordon filling in for me tomorrow. I'm

3
00:00:08,440 --> 00:00:10,520
Speaker 1: taking the rest of the week off in hon't know, Thanksgiving,

4
00:00:10,560 --> 00:00:13,119
Speaker 1: and as I always start this time of week and

5
00:00:13,160 --> 00:00:15,960
Speaker 1: this moment in time on the Fikarssee Morning Show, Bookmarket,

6
00:00:15,960 --> 00:00:18,400
Speaker 1: Breitbart dot com, b R E I T B A

7
00:00:18,600 --> 00:00:21,520
Speaker 1: r T dot com, it's time for the insight scoop

8
00:00:21,560 --> 00:00:24,320
Speaker 1: at bright Bart News. The return and perfect timing. Welcome

9
00:00:24,360 --> 00:00:27,159
Speaker 1: back Tech editor Colin Maydin. It's always great talking with you.

10
00:00:28,680 --> 00:00:29,880
Speaker 2: Hey, Brian, how are you today?

11
00:00:29,960 --> 00:00:32,000
Speaker 1: I'm doing great, And you know, I when I saw

12
00:00:32,040 --> 00:00:33,440
Speaker 1: you were going to be on the program this morning,

13
00:00:33,479 --> 00:00:37,199
Speaker 1: I was so happy because I just was beaming. And

14
00:00:37,240 --> 00:00:39,640
Speaker 1: in fact, Breitbart's where I found out about it. Elon

15
00:00:39,760 --> 00:00:43,440
Speaker 1: Musk has now labeled to count locations on his platform

16
00:00:43,800 --> 00:00:46,680
Speaker 1: X so you know, in fact, no, you're not dealing

17
00:00:46,680 --> 00:00:49,479
Speaker 1: with some guy in Texas screaming about MAGA or dividing

18
00:00:49,520 --> 00:00:51,440
Speaker 1: and stirring the pot of descent in this country. It's

19
00:00:51,479 --> 00:00:55,280
Speaker 1: actually somebody in Bangladesh or elsewhere. I want this feature

20
00:00:55,600 --> 00:00:58,720
Speaker 1: on every social media platform. Colin Maydin explained this to

21
00:00:58,760 --> 00:00:59,440
Speaker 1: my listeners.

22
00:01:01,080 --> 00:01:03,400
Speaker 3: Well, Brian, yeah, this is a doozy you know, and

23
00:01:03,440 --> 00:01:07,360
Speaker 3: I actually thought of you first as we were You're

24
00:01:07,400 --> 00:01:09,720
Speaker 3: the kind of guy who can who can you know,

25
00:01:09,800 --> 00:01:13,840
Speaker 3: pull us apart for the audience. So you know, we've

26
00:01:13,880 --> 00:01:16,480
Speaker 3: always had a problem.

27
00:01:16,480 --> 00:01:17,960
Speaker 2: With foreign influence.

28
00:01:18,120 --> 00:01:21,440
Speaker 3: Yes, of course, the two sides of the country kind

29
00:01:21,440 --> 00:01:27,200
Speaker 3: of disagree who's influencing what right, So you know, people

30
00:01:27,240 --> 00:01:32,760
Speaker 3: had been begging Elon and his team of Twitter now

31
00:01:32,800 --> 00:01:36,480
Speaker 3: known as X to have this feature saying what country

32
00:01:36,520 --> 00:01:39,680
Speaker 3: are these are these people trump that are posting?

33
00:01:40,000 --> 00:01:40,200
Speaker 2: Right?

34
00:01:40,760 --> 00:01:43,680
Speaker 3: They finally added it. They had it live for a

35
00:01:43,760 --> 00:01:46,160
Speaker 3: couple hours and turned it off because there was problems,

36
00:01:46,160 --> 00:01:49,800
Speaker 3: but then it relaunched over the weekend and you know,

37
00:01:49,960 --> 00:01:53,640
Speaker 3: suddenly all these eyes were opened. Because we have a

38
00:01:53,720 --> 00:01:58,640
Speaker 3: lot of accounts, especially in the political area, where they

39
00:01:58,640 --> 00:02:01,440
Speaker 3: are anonymous accounts. You know, they don't have a real

40
00:02:01,560 --> 00:02:04,920
Speaker 3: person name on there that is a known person, you know,

41
00:02:05,000 --> 00:02:08,480
Speaker 3: like a Brian Thomas account as you but you know,

42
00:02:08,680 --> 00:02:10,240
Speaker 3: American patriot.

43
00:02:09,840 --> 00:02:11,400
Speaker 2: Who the heck is that? Right?

44
00:02:12,600 --> 00:02:15,000
Speaker 3: A lot of those accounts, to your point, are in

45
00:02:15,080 --> 00:02:20,680
Speaker 3: places ranging from Romania to you know, Australia in some cases,

46
00:02:21,080 --> 00:02:25,560
Speaker 3: but a lot of them are in India, Pakistan, and Bangladesh.

47
00:02:25,600 --> 00:02:30,400
Speaker 3: So suddenly all these people go turn into super salutes

48
00:02:30,880 --> 00:02:34,800
Speaker 3: and they're looking at what these accounts are posting. Now,

49
00:02:35,440 --> 00:02:39,560
Speaker 3: the leftist response to this is haha, conservatism is fake,

50
00:02:39,680 --> 00:02:42,919
Speaker 3: Maga is fake because all these accounts are fake. But

51
00:02:43,400 --> 00:02:47,080
Speaker 3: that's not true when you look at it. The political

52
00:02:47,080 --> 00:02:51,919
Speaker 3: accounts based in these foreign countries are all posting divisions.

53
00:02:51,960 --> 00:02:56,160
Speaker 2: It's all about that the conservative movement for years.

54
00:02:56,160 --> 00:02:58,320
Speaker 1: And I'm so blas, I was so excited about this article.

55
00:02:58,360 --> 00:02:59,880
Speaker 1: I'm glad you thought of me because I've been saying

56
00:02:59,919 --> 00:03:01,720
Speaker 1: that out a lot on the program for years without

57
00:03:01,760 --> 00:03:05,800
Speaker 1: you know, support for what I was concluding. But social media,

58
00:03:05,840 --> 00:03:08,000
Speaker 1: it's so easy if you're a foreign actor and you

59
00:03:08,040 --> 00:03:10,360
Speaker 1: want to screw with America, and America is you know,

60
00:03:10,720 --> 00:03:13,440
Speaker 1: embracing under the umbell of freedom, that's one thing at

61
00:03:13,520 --> 00:03:16,600
Speaker 1: least you can unite under. Well, we need to disable that,

62
00:03:16,680 --> 00:03:19,399
Speaker 1: we need to interfere with that. Let us choose any

63
00:03:19,520 --> 00:03:22,160
Speaker 1: given subject matter and stir the pot of division. And

64
00:03:22,200 --> 00:03:25,040
Speaker 1: we can do that from remote control, from anywhere on

65
00:03:25,160 --> 00:03:28,000
Speaker 1: the globe. And this confirms what I've been saying. You're

66
00:03:28,000 --> 00:03:30,000
Speaker 1: listening to a bunch of foreign actors who want us

67
00:03:30,040 --> 00:03:32,720
Speaker 1: to fight amongst ourselves over literally anything.

68
00:03:32,800 --> 00:03:36,640
Speaker 3: Colin, Oh, absolutely true. Now there's you know, there's a

69
00:03:36,640 --> 00:03:40,400
Speaker 3: couple of important points here. Firstly, the concept of an

70
00:03:40,440 --> 00:03:45,240
Speaker 3: anonymous account is not by itself evil at all. We've

71
00:03:45,240 --> 00:03:49,040
Speaker 3: gone through more than a decade of social media cancel culture,

72
00:03:49,280 --> 00:03:51,400
Speaker 3: where if you're a conservative and you dare to share

73
00:03:51,440 --> 00:03:53,760
Speaker 3: your opinion, they're going to try to get you fired.

74
00:03:54,040 --> 00:03:56,520
Speaker 3: They're going to try to get you, you know, kicked

75
00:03:56,560 --> 00:03:59,920
Speaker 3: out of polite society. So that you know, that's okay,

76
00:04:00,320 --> 00:04:07,560
Speaker 3: But what this has revealed is very sophisticated actions by

77
00:04:07,680 --> 00:04:11,480
Speaker 3: people to portray typical Americans. To your point, you know,

78
00:04:11,560 --> 00:04:14,800
Speaker 3: you have an account that portrays itself as a as

79
00:04:14,840 --> 00:04:19,200
Speaker 3: a you know, a gun slinging Texan likes the barbecue

80
00:04:19,640 --> 00:04:22,560
Speaker 3: for lunch, and you know drives a jacked a pickup truck.

81
00:04:23,000 --> 00:04:25,640
Speaker 3: It's a dude in Pakistan that probably works for the

82
00:04:25,680 --> 00:04:32,520
Speaker 3: Pakistani governments. So you know, big problem. And you know

83
00:04:33,480 --> 00:04:38,120
Speaker 3: Twitter already had problems with foreigners because you know, the

84
00:04:38,680 --> 00:04:41,159
Speaker 3: Twitter was one of the one of the big changes

85
00:04:41,240 --> 00:04:43,880
Speaker 3: under Elon was they launched a program where you can

86
00:04:43,960 --> 00:04:47,000
Speaker 3: make money as a verified account. You know, if you're

87
00:04:47,080 --> 00:04:49,719
Speaker 3: driving traffic. If you're doing big numbers, you can make

88
00:04:49,760 --> 00:04:55,600
Speaker 3: money like advertitles and India, Pakistan accounts base. These places

89
00:04:55,600 --> 00:04:59,719
Speaker 3: were completely gaming that system. So your real influencer sitting

90
00:04:59,720 --> 00:05:03,200
Speaker 3: in the U, we're barely making any money because the

91
00:05:03,240 --> 00:05:07,680
Speaker 3: system was being completely you know, tricked by folks overseas,

92
00:05:07,839 --> 00:05:10,680
Speaker 3: and he's been trying to straighten that out. Now it's

93
00:05:10,720 --> 00:05:14,440
Speaker 3: taken a much, much deeper and frankly more sinister turn,

94
00:05:14,560 --> 00:05:18,440
Speaker 3: because you know, exactly to your point, you and others

95
00:05:18,560 --> 00:05:21,360
Speaker 3: were saying, these aren't Americans, these are people trying to

96
00:05:21,400 --> 00:05:23,480
Speaker 3: screw with us. Now we know that's true.

97
00:05:23,920 --> 00:05:26,760
Speaker 1: Yes, indeed, And you know, I love that he anticipated

98
00:05:26,760 --> 00:05:28,960
Speaker 1: the VPN workaround. You know, I'm a big fan of

99
00:05:28,960 --> 00:05:32,000
Speaker 1: epns even for example, and I use this as an illustration.

100
00:05:32,360 --> 00:05:34,880
Speaker 1: You got a teenager in a state which doesn't allow

101
00:05:34,960 --> 00:05:37,720
Speaker 1: teens on pornography sites that state, All you need to

102
00:05:37,720 --> 00:05:39,440
Speaker 1: do is get on a VPN and pretend like you're

103
00:05:39,480 --> 00:05:41,880
Speaker 1: in some other state or as the case, maybe some

104
00:05:41,960 --> 00:05:44,440
Speaker 1: other country. That's where your IP address shows up. That

105
00:05:44,480 --> 00:05:48,599
Speaker 1: defeats the whole ID check thing because that other state,

106
00:05:48,680 --> 00:05:52,280
Speaker 1: like Illinois, doesn't have the ID verification. So that's a workaround.

107
00:05:52,440 --> 00:05:55,120
Speaker 1: Same thing goes here. You could be a foreign actor

108
00:05:55,279 --> 00:05:57,120
Speaker 1: saying that you're in the United States, but if you

109
00:05:57,200 --> 00:06:00,360
Speaker 1: use a VPN from Bangladesh, it might look like you're

110
00:06:00,360 --> 00:06:03,640
Speaker 1: in Chicago or Saint Louis or Cincinnati. That's what the

111
00:06:03,720 --> 00:06:07,080
Speaker 1: VPN will show. But Elon must anticipated that, so he's

112
00:06:07,120 --> 00:06:10,000
Speaker 1: got the little exclamation point feature that's going along with

113
00:06:10,080 --> 00:06:12,039
Speaker 1: that exactly.

114
00:06:12,160 --> 00:06:14,640
Speaker 3: So you know, for anyone that that's not familiar with

115
00:06:14,680 --> 00:06:16,760
Speaker 3: how this works, you can look in an account and

116
00:06:16,760 --> 00:06:19,600
Speaker 3: click on the date that it says they joined the platform.

117
00:06:20,160 --> 00:06:23,600
Speaker 3: It's going to give you all the additional information, including

118
00:06:23,800 --> 00:06:26,520
Speaker 3: the country they're based in. And to your point, Brian,

119
00:06:27,000 --> 00:06:31,000
Speaker 3: you know, yes, anyone could VPN and say hi, I

120
00:06:31,040 --> 00:06:35,120
Speaker 3: am an American, you know, but with that exclamation point,

121
00:06:35,200 --> 00:06:36,440
Speaker 3: you know they're on a VPN.

122
00:06:36,560 --> 00:06:37,960
Speaker 2: You don't know where they're.

123
00:06:37,640 --> 00:06:42,680
Speaker 3: Based, but you know if they're saying American patriot or

124
00:06:43,240 --> 00:06:46,800
Speaker 3: my favorite of all these accounts is Republicans against Trump,

125
00:06:47,200 --> 00:06:51,400
Speaker 3: you know, which is not Republicans against Trump because it's

126
00:06:51,400 --> 00:06:52,040
Speaker 3: not American.

127
00:06:52,680 --> 00:06:52,840
Speaker 1: Uh.

128
00:06:53,400 --> 00:06:56,000
Speaker 3: You know, it's a great that you can see, Hey,

129
00:06:56,040 --> 00:06:57,880
Speaker 3: I don't know where they are, but they're not here,

130
00:06:57,920 --> 00:07:00,159
Speaker 3: and that's enough information for us.

131
00:07:00,560 --> 00:07:03,520
Speaker 1: Well, it provides you an opportunity to exercise some logic

132
00:07:03,560 --> 00:07:06,800
Speaker 1: and reason. I wonder why they're using a VPN, and

133
00:07:06,839 --> 00:07:09,320
Speaker 1: the result is the obvious question. Answer to the question

134
00:07:09,400 --> 00:07:11,760
Speaker 1: is because there's someplace else. It's just you know, just

135
00:07:11,840 --> 00:07:13,800
Speaker 1: put two and two together. It's simply it may not

136
00:07:13,840 --> 00:07:16,920
Speaker 1: necessarily be true, but more than likely in connection with

137
00:07:17,000 --> 00:07:20,520
Speaker 1: these divisive posts related to American politics and other topics,

138
00:07:20,920 --> 00:07:23,560
Speaker 1: it more than likely is a foreign actor. And I

139
00:07:23,640 --> 00:07:26,600
Speaker 1: was surprised in the reporting on this that the China

140
00:07:26,640 --> 00:07:28,560
Speaker 1: didn't come up more often, because I mean you had

141
00:07:28,560 --> 00:07:34,280
Speaker 1: mentioned Bangladesh, Congo's even mentioned in India Pakistan, but no

142
00:07:34,960 --> 00:07:37,440
Speaker 1: specific mention of China, who I kind of figured would

143
00:07:37,440 --> 00:07:40,520
Speaker 1: be the biggest foreign actor involved in this activity.

144
00:07:40,560 --> 00:07:42,240
Speaker 2: It's it's a method of warfare.

145
00:07:43,240 --> 00:07:47,800
Speaker 3: It is, you know. And for our Democrat friends, I'm

146
00:07:47,800 --> 00:07:50,720
Speaker 3: sure you have some Democrat listeners. Yes, Russia wasn't in

147
00:07:50,720 --> 00:07:56,760
Speaker 3: there either, so you know, we could talk all day

148
00:07:56,760 --> 00:07:57,400
Speaker 3: about that, Brian.

149
00:07:57,480 --> 00:07:58,520
Speaker 2: There's a lot going on.

150
00:07:58,680 --> 00:08:05,760
Speaker 3: For one thing, China may not be as concerned about

151
00:08:05,960 --> 00:08:09,520
Speaker 3: what happens on Twitter because they have much larger scale

152
00:08:10,000 --> 00:08:14,520
Speaker 3: influenced operations. For example, TikTok that is clearly a Chinese

153
00:08:14,800 --> 00:08:22,000
Speaker 3: thiop right. In other cases, probably some of these people,

154
00:08:22,360 --> 00:08:25,800
Speaker 3: if you're talking about the true you know, nation state

155
00:08:25,920 --> 00:08:31,080
Speaker 3: security practice level, they might be hiding out in India.

156
00:08:31,120 --> 00:08:34,160
Speaker 3: Because one of the very interesting things that we're going

157
00:08:34,200 --> 00:08:37,080
Speaker 3: to be following up and researching on with this is

158
00:08:37,120 --> 00:08:43,960
Speaker 3: typically when you're dealing with scammers and basically financial influencers,

159
00:08:44,400 --> 00:08:47,280
Speaker 3: you know, people who are not spies but rather doing

160
00:08:47,320 --> 00:08:49,840
Speaker 3: stuff for money, which is some of what's going on here.

161
00:08:50,800 --> 00:08:54,800
Speaker 3: The English is bad, you know, they don't know how

162
00:08:55,440 --> 00:08:59,360
Speaker 3: We get scam emails all the time that are poorly

163
00:08:59,360 --> 00:09:02,680
Speaker 3: written in English, right, because it's not English as the

164
00:09:02,720 --> 00:09:06,360
Speaker 3: first language speakers who are writing those these are all

165
00:09:06,559 --> 00:09:09,640
Speaker 3: you know, the Texans sound like Texans, right. That is

166
00:09:09,640 --> 00:09:13,679
Speaker 3: a level of sophistication that is not there for normal scammers.

167
00:09:14,000 --> 00:09:16,720
Speaker 1: But it will be if it isn't here already called

168
00:09:16,920 --> 00:09:20,680
Speaker 1: in a moment's time, it will be with artificial intelligence, right,

169
00:09:20,720 --> 00:09:26,040
Speaker 1: I mean with a statement in you know, proper English,

170
00:09:26,120 --> 00:09:28,120
Speaker 1: you know, with a Texas flair, even you can get

171
00:09:28,160 --> 00:09:30,400
Speaker 1: AI to do stuff like that. It'll tailor a message

172
00:09:30,400 --> 00:09:32,960
Speaker 1: for it, it'll actually be grammatically correct or maybe even

173
00:09:33,000 --> 00:09:35,360
Speaker 1: come out in a very colloquial way that'll make it

174
00:09:35,400 --> 00:09:36,520
Speaker 1: look convincing.

175
00:09:37,360 --> 00:09:38,520
Speaker 2: Very true.

176
00:09:38,640 --> 00:09:41,080
Speaker 3: You know. So when I look at things, when I

177
00:09:41,120 --> 00:09:43,040
Speaker 3: look at these fake accounts, when I see him coming

178
00:09:43,080 --> 00:09:47,520
Speaker 3: out of Europe like Romania, I'm thinking to myself, this

179
00:09:47,600 --> 00:09:50,520
Speaker 3: is the EU trying to mess with us. Right when

180
00:09:50,559 --> 00:09:54,040
Speaker 3: I see him coming out of India, I'm thinking, that's

181
00:09:54,120 --> 00:09:58,520
Speaker 3: more people trying to make bucks because there's nothing there's

182
00:09:58,559 --> 00:10:01,120
Speaker 3: no better way to make money on social media. Then

183
00:10:01,559 --> 00:10:04,679
Speaker 3: divide people, enrage people. This is kind of the how

184
00:10:04,760 --> 00:10:08,960
Speaker 3: it's third model of radio applied to applied to social media.

185
00:10:10,200 --> 00:10:13,440
Speaker 3: But clearly there's much more than that going on. And

186
00:10:13,520 --> 00:10:15,600
Speaker 3: I think we're going to see this unfold over time.

187
00:10:15,760 --> 00:10:16,320
Speaker 2: No question.

188
00:10:16,520 --> 00:10:19,400
Speaker 1: And further to my point on China, maybe it isn't

189
00:10:19,440 --> 00:10:22,280
Speaker 1: so much that and I point well taken on them

190
00:10:22,400 --> 00:10:26,000
Speaker 1: being you know, in other countries. Obviously they're expanding their

191
00:10:26,000 --> 00:10:28,520
Speaker 1: global footprint China is so they could operate these bot

192
00:10:28,559 --> 00:10:32,920
Speaker 1: farms elsewhere, but that they are perpetuating the we're all

193
00:10:33,040 --> 00:10:37,680
Speaker 1: killing ourselves with the climate CO two eradication messaging that

194
00:10:37,679 --> 00:10:40,120
Speaker 1: that is in their financial best interest. In other words,

195
00:10:40,160 --> 00:10:43,120
Speaker 1: it's a glorified global marketing campaign to get us to

196
00:10:43,160 --> 00:10:45,640
Speaker 1: be stupid and buy windmills and solar panels and cut

197
00:10:45,640 --> 00:10:47,920
Speaker 1: our own throats in terms of energy generation column.

198
00:10:49,400 --> 00:10:53,520
Speaker 3: Yeah, Brian, keep in mind, the Chinese mindset is they'll

199
00:10:53,520 --> 00:10:55,480
Speaker 3: hang us and we'll sell them the roAP.

200
00:10:55,720 --> 00:10:56,520
Speaker 2: That's what they want.

201
00:10:56,800 --> 00:11:00,000
Speaker 1: Yeah, they use to commit a theyse to assassinate their

202
00:11:00,040 --> 00:11:02,480
Speaker 1: political operatives and then build a family for the bullet.

203
00:11:02,559 --> 00:11:04,480
Speaker 1: You may just remember those days back in the you know,

204
00:11:04,480 --> 00:11:05,640
Speaker 1: shoot them in the back of the head and then

205
00:11:05,720 --> 00:11:06,679
Speaker 1: charge the family.

206
00:11:06,360 --> 00:11:06,880
Speaker 2: For the bullet.

207
00:11:07,440 --> 00:11:09,560
Speaker 1: That's China, and they're doing that to us each and

208
00:11:09,559 --> 00:11:11,920
Speaker 1: every day. Colin made iin tech editor with Breitbart b

209
00:11:12,080 --> 00:11:14,400
Speaker 1: R E I T b a rt Breitbart dot Com.

210
00:11:14,559 --> 00:11:18,840
Speaker 1: I was totally blown away and really disturbed by a

211
00:11:18,840 --> 00:11:21,280
Speaker 1: Wall Street Journal article I read just from yesterday. Teens

212
00:11:21,280 --> 00:11:24,720
Speaker 1: are saying tearful goodbyes to their AI companions. Some really

213
00:11:24,840 --> 00:11:28,439
Speaker 1: unbelievable problems these young people are having getting involved with

214
00:11:28,559 --> 00:11:31,880
Speaker 1: artificial intelligence. And they just have this perception that these

215
00:11:32,000 --> 00:11:35,720
Speaker 1: fake characters that they create and interact with conversationally and

216
00:11:35,720 --> 00:11:40,640
Speaker 1: literally spend hours and hours online with them, they perceive

217
00:11:40,720 --> 00:11:42,840
Speaker 1: them to be almost real. So when you say sorry,

218
00:11:43,120 --> 00:11:44,840
Speaker 1: young people are not going to let you have access

219
00:11:44,880 --> 00:11:47,880
Speaker 1: to this anymore. They break down emotionally. Oh my god,

220
00:11:47,920 --> 00:11:49,880
Speaker 1: I'm not gonna get they're not real people. I mean,

221
00:11:49,920 --> 00:11:51,400
Speaker 1: where is that message getting out?

222
00:11:51,440 --> 00:11:51,720
Speaker 2: Colin?

223
00:11:52,200 --> 00:11:55,400
Speaker 1: Sadly, it appears that Meta also was painfully aware of this.

224
00:11:55,440 --> 00:11:57,839
Speaker 1: But so rather than look further into the details of

225
00:11:57,880 --> 00:12:00,000
Speaker 1: the harm social media does the people, they just shut

226
00:12:00,160 --> 00:12:01,440
Speaker 1: down their research on it.

227
00:12:02,960 --> 00:12:05,839
Speaker 3: Yeah, that's uh, you know, that's a fun story, Brian.

228
00:12:05,880 --> 00:12:07,840
Speaker 3: I want to correct one thing you said. Oh, the

229
00:12:07,880 --> 00:12:11,040
Speaker 3: young people don't think the ais are almost real. There's

230
00:12:11,080 --> 00:12:16,760
Speaker 3: no almost don't believe they're real and that generation. Right,

231
00:12:17,720 --> 00:12:20,880
Speaker 3: What you're seeing here, Brian, is a perfect illustration of

232
00:12:20,920 --> 00:12:24,480
Speaker 3: the economics concept of opportunity costs. Opportunity cost is if

233
00:12:24,520 --> 00:12:26,760
Speaker 3: you're doing one thing, you can't do another. So our

234
00:12:26,840 --> 00:12:30,480
Speaker 3: young people are falling in love with AI, you know,

235
00:12:30,640 --> 00:12:32,040
Speaker 3: warning it when they lose it.

236
00:12:32,440 --> 00:12:33,400
Speaker 2: What are they not doing.

237
00:12:33,480 --> 00:12:37,440
Speaker 3: They're not meeting that real human right, They're not forming

238
00:12:37,520 --> 00:12:41,000
Speaker 3: relationships that are going to make the next generation of Americans.

239
00:12:41,040 --> 00:12:44,240
Speaker 3: We're going to have a population crisis light China if

240
00:12:44,240 --> 00:12:47,640
Speaker 3: we don't have people fall in love and get married

241
00:12:47,679 --> 00:12:51,680
Speaker 3: and so forth. Right, and so you know, the Meta

242
00:12:51,840 --> 00:12:54,720
Speaker 3: story you just mentioned is very insidious because what's happening

243
00:12:54,760 --> 00:12:59,600
Speaker 3: there is as they're internal researchers who I'm actually starting

244
00:12:59,600 --> 00:13:02,720
Speaker 3: to admit because they're very sharp and they're they're reaching

245
00:13:02,720 --> 00:13:06,440
Speaker 3: the right conclusions, they just get turned off. So you know,

246
00:13:06,800 --> 00:13:11,480
Speaker 3: we have these internal researchers talking to each other saying, gosh,

247
00:13:11,559 --> 00:13:15,480
Speaker 3: this is a drug and we're pushers, and you know,

248
00:13:15,600 --> 00:13:18,160
Speaker 3: they're realizing the ugly truth. It's kind of like there's

249
00:13:18,160 --> 00:13:20,760
Speaker 3: a meme of the Nazi saying, are we the bad guys?

250
00:13:21,280 --> 00:13:24,319
Speaker 3: That's that's what's happening in Silicon Valley. But they just

251
00:13:24,440 --> 00:13:27,240
Speaker 3: keep pushing forward and not slowing down.

252
00:13:27,440 --> 00:13:28,960
Speaker 2: Well, here's someone's got to slow them down.

253
00:13:29,080 --> 00:13:32,520
Speaker 1: Illustrative quote exactly on that point, Doctor ninovssan director at

254
00:13:32,520 --> 00:13:36,960
Speaker 1: Stanford's Medicine's Brainstorm Lab for Mental Health Innovation. Quote the

255
00:13:37,040 --> 00:13:41,079
Speaker 1: difficulty logging off meaning interaction with the AI chatbots. The

256
00:13:41,120 --> 00:13:43,559
Speaker 1: difficulty in logging off doesn't mean something is wrong with

257
00:13:43,640 --> 00:13:47,719
Speaker 1: the team. It means the tech worked exactly as designed.

258
00:13:48,559 --> 00:13:52,160
Speaker 1: That is, I think that just like hammers. The point home, Yes,

259
00:13:52,240 --> 00:13:55,240
Speaker 1: they want your children to spend all of their hours

260
00:13:55,280 --> 00:13:57,520
Speaker 1: engaging with artificial intelligence.

261
00:13:59,559 --> 00:14:03,760
Speaker 3: The strong comparison that I have yet to see breakdown.

262
00:14:03,960 --> 00:14:12,760
Speaker 2: Brian is Big Tobacco and Right Channel and right. But

263
00:14:12,920 --> 00:14:15,040
Speaker 2: you know, here, here's why I mentioned Big Tobacco.

264
00:14:15,280 --> 00:14:19,080
Speaker 3: What came out about Big Tobacco eventually was all of

265
00:14:19,120 --> 00:14:22,520
Speaker 3: their advertising, from the Marlborough Man to Joe Campbell was

266
00:14:22,520 --> 00:14:25,280
Speaker 3: aimed at fourteen year olds. Because if you start a

267
00:14:25,520 --> 00:14:29,480
Speaker 3: fourteen year old smoking, they'll smoke for life. That's the

268
00:14:29,480 --> 00:14:33,080
Speaker 3: big tech model. Big Tech desperately wants younger and younger

269
00:14:33,120 --> 00:14:36,680
Speaker 3: people because if they get you, you're going to stick

270
00:14:36,720 --> 00:14:40,920
Speaker 3: with them and you can't stop. And you know, we

271
00:14:41,080 --> 00:14:44,520
Speaker 3: have to the legal system in a sense, and our

272
00:14:44,520 --> 00:14:47,760
Speaker 3: politicians have to catch up with that cutting edge of

273
00:14:47,760 --> 00:14:51,520
Speaker 3: what's happening in kids, because even millennials struggle with this

274
00:14:51,720 --> 00:14:53,880
Speaker 3: because it didn't happen to them when they were ten.

275
00:14:54,280 --> 00:14:58,320
Speaker 3: It happened to them when they were, you know, teenagers

276
00:14:58,440 --> 00:14:59,520
Speaker 3: reaching twenty years old.

277
00:14:59,560 --> 00:15:00,920
Speaker 2: Suddenly on social media.

278
00:15:01,360 --> 00:15:04,000
Speaker 3: They warn't ten year olds on social media talking to

279
00:15:04,040 --> 00:15:05,880
Speaker 3: fake accounts from India exactly.

280
00:15:06,240 --> 00:15:08,040
Speaker 1: And Colin the other plant made about to acco companies,

281
00:15:08,040 --> 00:15:10,280
Speaker 1: they had their own internal research which confirmed that yeah,

282
00:15:10,320 --> 00:15:13,200
Speaker 1: tobacco is bad for you, but they hid that evidence,

283
00:15:13,240 --> 00:15:15,040
Speaker 1: which sounds me along the lines of what Meta is

284
00:15:15,080 --> 00:15:18,600
Speaker 1: doing so terrible stuff? It just keeps getting worse every day,

285
00:15:18,640 --> 00:15:23,560
Speaker 1: I suppose. I mean, is there a legislative solution? I mean,

286
00:15:23,560 --> 00:15:26,120
Speaker 1: I was screaming early in the program about TikTok. I

287
00:15:26,160 --> 00:15:28,680
Speaker 1: want this X feature on TikTok. Not that the Chinese

288
00:15:28,720 --> 00:15:31,479
Speaker 1: is going to provide it, but is there some mechanism,

289
00:15:31,640 --> 00:15:34,720
Speaker 1: some simple solution or even complex solution that helps save

290
00:15:34,760 --> 00:15:38,360
Speaker 1: our young people from this disaster? Or do we just

291
00:15:38,440 --> 00:15:41,360
Speaker 1: need to take our kids off the damn apps.

292
00:15:42,320 --> 00:15:45,400
Speaker 3: I have several answers to that, and I'll keep them,

293
00:15:45,760 --> 00:15:48,000
Speaker 3: keep them brief. You know, eventually we're going to need

294
00:15:48,040 --> 00:15:49,360
Speaker 3: some legislative solutions.

295
00:15:49,440 --> 00:15:49,640
Speaker 2: Right.

296
00:15:50,320 --> 00:15:53,200
Speaker 3: What I firm believe in my heart is that when

297
00:15:53,240 --> 00:15:56,200
Speaker 3: I watch I've been watching Kojak from the seventies, right,

298
00:15:57,240 --> 00:16:00,760
Speaker 3: and it's a little shocking because every scene, you know,

299
00:16:01,120 --> 00:16:05,240
Speaker 3: Telly Savalas and others are smoking everywhere in hospitals.

300
00:16:04,840 --> 00:16:05,680
Speaker 2: Police stations.

301
00:16:06,160 --> 00:16:09,320
Speaker 3: We look at that, you know, I'm fifty, I look

302
00:16:09,320 --> 00:16:12,720
Speaker 3: at that, and I'm a little shocked. Right. I believe

303
00:16:12,880 --> 00:16:15,200
Speaker 3: in twenty or thirty years, people are going to watch

304
00:16:15,200 --> 00:16:18,320
Speaker 3: our TV and movies of teenagers staring at phones, and

305
00:16:18,320 --> 00:16:21,040
Speaker 3: they're going to be shocked. How on earth did these

306
00:16:21,080 --> 00:16:25,200
Speaker 3: people let these kids ruin their lives with AI condanions

307
00:16:25,200 --> 00:16:25,680
Speaker 3: of phones?

308
00:16:25,760 --> 00:16:25,960
Speaker 2: Right?

309
00:16:26,200 --> 00:16:29,320
Speaker 1: Yeah, as we as we crawl from the wreckage of

310
00:16:29,360 --> 00:16:32,200
Speaker 1: allowing them to do that for so many years. So yeah,

311
00:16:32,240 --> 00:16:33,920
Speaker 1: it's like looking back at the Great Depression.

312
00:16:34,640 --> 00:16:34,960
Speaker 2: Wow.

313
00:16:35,160 --> 00:16:38,280
Speaker 3: Oh right, So how do we get there? That's the trick.

314
00:16:38,520 --> 00:16:40,920
Speaker 3: That's a tricky question. But you know, you and I

315
00:16:40,960 --> 00:16:44,920
Speaker 3: have talked before. It really comes down to parents. Parents,

316
00:16:45,160 --> 00:16:49,160
Speaker 3: right now, you have to be all over your kids

317
00:16:49,200 --> 00:16:52,560
Speaker 3: when it comes especially to AI, because AI will ruin

318
00:16:52,600 --> 00:16:55,720
Speaker 3: them in a heartbeat, whether it's cheating on school so

319
00:16:55,800 --> 00:16:59,480
Speaker 3: they don't learn anything, or you know, getting into sort

320
00:16:59,480 --> 00:17:02,680
Speaker 3: of this roman antic entanglement, or for those you know,

321
00:17:02,760 --> 00:17:07,400
Speaker 3: for people listening who if your child, grandchild, whoever loved

322
00:17:07,440 --> 00:17:10,920
Speaker 3: one has any sort of you know.

323
00:17:10,920 --> 00:17:13,880
Speaker 2: Mental issue they've dealt with in the past. AI can

324
00:17:13,920 --> 00:17:15,480
Speaker 2: make that a thousand.

325
00:17:15,000 --> 00:17:18,560
Speaker 3: Times worse in about a week. Takes a little to

326
00:17:18,600 --> 00:17:19,600
Speaker 3: take responsibility.

327
00:17:19,720 --> 00:17:21,199
Speaker 1: You have to you have to say no, they're not

328
00:17:21,240 --> 00:17:23,840
Speaker 1: your friends or your children, help them out, stop it.

329
00:17:24,240 --> 00:17:27,119
Speaker 1: Colin made on tech editor breit Bart, thank you Colin

330
00:17:27,160 --> 00:17:29,600
Speaker 1: for joining the program, and on Behalf of my listening audience,

331
00:17:29,640 --> 00:17:31,840
Speaker 1: and my family. To you and everybody at Breitbart, I

332
00:17:31,840 --> 00:17:33,640
Speaker 1: hope you have a wonderful Thanksgiving holiday.

333
00:17:33,680 --> 00:17:36,879
Speaker 2: My friend, same to you and everyone in Sincy.

334
00:17:37,080 --> 00:17:38,960
Speaker 1: Look forward to having you back on real soon. Colin,

335
00:17:39,040 --> 00:17:40,439
Speaker 1: have a great day eight twenty two. Right now if

336
00:17:40,480 --> 00:17:42,239
Speaker 1: you've got KRCD talk station, no cool wit