1
00:00:01,120 --> 00:00:07,400
Speaker 1: KFI and KOST two, Los Angeles, Orange County. It's time

2
00:00:07,800 --> 00:00:09,119
Speaker 1: for your morning wake up call.

3
00:00:12,680 --> 00:00:13,880
Speaker 2: Here's Amy Kicks.

4
00:00:22,160 --> 00:00:25,759
Speaker 3: Good morning, it's five o'clock, straight up. This is your

5
00:00:25,800 --> 00:00:31,320
Speaker 3: wake up call for Tuesday, February third. I'm Amy King.

6
00:00:31,360 --> 00:00:34,640
Speaker 3: We're live everywhere on the iHeartRadio app. Ready to start

7
00:00:34,640 --> 00:00:38,640
Speaker 3: the day. It's a big one. Let's putting together my newscast.

8
00:00:38,680 --> 00:00:41,839
Speaker 3: And I was like, there's just a lot of stuff

9
00:00:41,880 --> 00:00:46,000
Speaker 3: going on. As always, there always seems to be no

10
00:00:46,080 --> 00:00:48,800
Speaker 3: such thing as a slow news day. We're gonna get

11
00:00:48,840 --> 00:00:50,280
Speaker 3: you up to date with everything you need to know

12
00:00:50,320 --> 00:00:52,880
Speaker 3: as you get ready for your workday. So let's go.

13
00:00:53,680 --> 00:00:56,480
Speaker 3: Here's what's ahead on wake up call. Leaders of a

14
00:00:56,600 --> 00:00:59,560
Speaker 3: church in North Hills have condemned the actions of immigration

15
00:00:59,640 --> 00:01:03,680
Speaker 3: agents who carried out a raid during a food distribution

16
00:01:03,840 --> 00:01:07,520
Speaker 3: events in the church parking lot last week. The church's

17
00:01:07,560 --> 00:01:11,120
Speaker 3: pastor says the raid on Thursday sparked panic at a

18
00:01:11,120 --> 00:01:13,959
Speaker 3: time when mothers and children were there, prompting some people

19
00:01:14,000 --> 00:01:16,759
Speaker 3: to lock themselves in a room at the church for hours.

20
00:01:17,440 --> 00:01:21,360
Speaker 3: The Clintons have agreed to testify in the House Jeffrey

21
00:01:21,400 --> 00:01:26,520
Speaker 3: Epstein investigation. Their attorneys sold Oversight Committee Chairman James Comer

22
00:01:26,640 --> 00:01:29,919
Speaker 3: in an email yesterday that the former president and former

23
00:01:30,000 --> 00:01:33,520
Speaker 3: Secretary of State will appear after months of refusing to

24
00:01:33,600 --> 00:01:36,679
Speaker 3: comply with subpoenas. The House was scheduled to vote on

25
00:01:36,680 --> 00:01:40,560
Speaker 3: whether to hold the Clintons in criminal contempt of Congress tomorrow.

26
00:01:41,480 --> 00:01:44,240
Speaker 3: More than thirty earthquakes have randaled the Bay Area. The

27
00:01:44,280 --> 00:01:48,080
Speaker 3: first of the quakes hit at six twenty seven am yesterday.

28
00:01:48,440 --> 00:01:50,600
Speaker 3: The largest of the quakes was a four point two.

29
00:01:50,840 --> 00:01:53,600
Speaker 3: There were reports of some items falling off shelves, but

30
00:01:54,040 --> 00:01:58,680
Speaker 3: no major damage. The Palestinians and Gaza are literally taking

31
00:01:58,920 --> 00:02:03,440
Speaker 3: first steps towards piece. ABC's Jordana Miller and Jerusalem's going

32
00:02:03,480 --> 00:02:05,840
Speaker 3: to join us at five twenty to let us know

33
00:02:05,920 --> 00:02:08,760
Speaker 3: how things went on the first day. The Rafa crossing

34
00:02:08,960 --> 00:02:11,720
Speaker 3: between Gaza and Israel has been open in more than

35
00:02:11,760 --> 00:02:15,200
Speaker 3: two years. It's kind of like a scene out of

36
00:02:15,240 --> 00:02:20,760
Speaker 3: Scarlett Johansson and Joaquin Phoenix's movie. Per ABC's tech reporter

37
00:02:20,840 --> 00:02:22,680
Speaker 3: Mike Dubuski's going to join us in just a minute

38
00:02:22,720 --> 00:02:26,160
Speaker 3: to tell us how Ai are talking to each other

39
00:02:27,120 --> 00:02:31,679
Speaker 3: and making plans for the future. OO scary legislation making

40
00:02:31,720 --> 00:02:34,520
Speaker 3: its way through Sacramento would require companies to let you

41
00:02:34,560 --> 00:02:37,120
Speaker 3: talk to a real person instead of getting stuck in

42
00:02:37,200 --> 00:02:40,080
Speaker 3: automated Hell, that's a bill I can get behind. We'll

43
00:02:40,080 --> 00:02:42,200
Speaker 3: tell you a little bit more about that. And also

44
00:02:42,639 --> 00:02:44,800
Speaker 3: tax season is here. The host of How the Money

45
00:02:44,840 --> 00:02:47,320
Speaker 3: on KFI, Joel Larsguard's going to tell us how we

46
00:02:47,360 --> 00:02:51,520
Speaker 3: can get our refunds quicker. If we're getting refunds, if

47
00:02:51,520 --> 00:02:54,680
Speaker 3: you're paying just forget about it anyway, that's coming up

48
00:02:54,720 --> 00:02:56,520
Speaker 3: a little bit later this hour. Let's get started with

49
00:02:56,520 --> 00:02:58,639
Speaker 3: some of the stories coming out of the KFI twenty

50
00:02:58,639 --> 00:03:02,560
Speaker 3: four hour newsroom. Mayor Bass has taken shots at federal

51
00:03:02,560 --> 00:03:04,800
Speaker 3: immigration policy in her State of the City address.

52
00:03:04,880 --> 00:03:07,280
Speaker 4: The mayor spoke at Memorial Coliseum and says the city's

53
00:03:07,320 --> 00:03:11,600
Speaker 4: making progress on fire recovery, homelessness, and crime. Critics may disagree,

54
00:03:11,680 --> 00:03:13,720
Speaker 4: but she also says the city is ready to face

55
00:03:13,760 --> 00:03:15,000
Speaker 4: whatever else comes its.

56
00:03:14,880 --> 00:03:20,079
Speaker 5: Way, whether it is a reckless federal government who tries

57
00:03:20,120 --> 00:03:22,840
Speaker 5: to say that this city has fallen apart.

58
00:03:23,000 --> 00:03:24,920
Speaker 4: Bass says she's proud the way people in the city

59
00:03:24,960 --> 00:03:28,200
Speaker 4: have resisted immigration enforcement. The mayor will give a second

60
00:03:28,240 --> 00:03:32,000
Speaker 4: State of the City speech in spring. Monks KFI news.

61
00:03:32,200 --> 00:03:35,800
Speaker 3: The operator of a local charity that contracted to house

62
00:03:35,840 --> 00:03:40,320
Speaker 3: the homeless, has pleaded not guilty to charges. Alexander Suefer

63
00:03:40,480 --> 00:03:43,560
Speaker 3: is accused of pocketing millions of dollars that the LA

64
00:03:43,600 --> 00:03:47,320
Speaker 3: Homeless Services Authority awarded him. He faces more than seventeen

65
00:03:47,400 --> 00:03:50,760
Speaker 3: years in prison on the local charges against him. Suffer

66
00:03:50,760 --> 00:03:53,760
Speaker 3: has also been charged federally and could face twenty years

67
00:03:53,760 --> 00:03:59,280
Speaker 3: in prison. Prosecutors say his organization, called Abundant Blessings, got

68
00:03:59,320 --> 00:04:01,920
Speaker 3: money that suoner for us to buy a home, send

69
00:04:02,000 --> 00:04:05,160
Speaker 3: his kid to kids to private school, and to take

70
00:04:05,760 --> 00:04:10,600
Speaker 3: luxury vacations. Governor Newsom says the Wallace Annenberg Wildlife Crossing

71
00:04:10,600 --> 00:04:13,840
Speaker 3: has received almost nineteen million dollars and that will provide

72
00:04:13,960 --> 00:04:16,520
Speaker 3: the final funding needed to complete the project. He says

73
00:04:16,520 --> 00:04:19,200
Speaker 3: the crossing will make life safer for both LA Area

74
00:04:19,240 --> 00:04:23,600
Speaker 3: Wildfire wildlife and drivers who are using the one oh

75
00:04:23,600 --> 00:04:26,880
Speaker 3: one in Agra Hills. Newsom says the crossing will reconnect

76
00:04:27,080 --> 00:04:29,760
Speaker 3: protected lands in the Santa Monica Mountains in the Sierra

77
00:04:29,800 --> 00:04:32,719
Speaker 3: Madre Range on both sides of the highway. It's expected

78
00:04:32,760 --> 00:04:34,560
Speaker 3: to be opened by later this year. It's so fun

79
00:04:34,640 --> 00:04:36,120
Speaker 3: to take a look at it. If you do the

80
00:04:36,160 --> 00:04:38,119
Speaker 3: aerial view. Now you can see them and it looks

81
00:04:38,160 --> 00:04:41,040
Speaker 3: like a crossing. It just needs the on ramps. Yeah,

82
00:04:41,000 --> 00:04:43,599
Speaker 3: it has finished, it has no ends. It's like, yeah,

83
00:04:44,200 --> 00:04:46,640
Speaker 3: the bridge itself is done, but the on ramps are

84
00:04:46,680 --> 00:04:50,240
Speaker 3: still to be constructed. San Francisco is expected to receive

85
00:04:50,320 --> 00:04:54,320
Speaker 3: the largest financial boost of any city from Sunday's Super

86
00:04:54,360 --> 00:04:55,080
Speaker 3: Bowl sixty.

87
00:04:55,200 --> 00:04:58,000
Speaker 6: The Bay Area is expecting between three hundred and seventy

88
00:04:58,120 --> 00:05:01,440
Speaker 6: million and six hundred forty million dollars in total spending,

89
00:05:01,640 --> 00:05:03,560
Speaker 6: even though the game will be played in Santa Clara.

90
00:05:03,600 --> 00:05:06,159
Speaker 6: San Francisco is expected to see up to four hundred

91
00:05:06,160 --> 00:05:09,359
Speaker 6: and forty million dollars in spending. Several events will be

92
00:05:09,400 --> 00:05:12,200
Speaker 6: held in San Francisco, including the five day Super Bowl

93
00:05:12,279 --> 00:05:15,719
Speaker 6: Experience at the Moscone Center. The Palace of Fine Arts

94
00:05:15,760 --> 00:05:18,760
Speaker 6: will host the NFL Honors Awards ceremony on Thursday, and

95
00:05:18,839 --> 00:05:22,440
Speaker 6: several concerts will be held at the Bill Graham Civic Auditorium.

96
00:05:22,880 --> 00:05:26,560
Speaker 3: Deborah mark Kafi News quite the event can't wait for Sunday.

97
00:05:27,080 --> 00:05:31,560
Speaker 3: Let's say good morning now to ABC's Mike Debuski. Okay, so, Mike,

98
00:05:31,600 --> 00:05:33,360
Speaker 3: I think that this is like a scene out of

99
00:05:34,200 --> 00:05:38,000
Speaker 3: the movie Her with Scarlett Johansson and Joaquin Phoenix. The

100
00:05:38,120 --> 00:05:42,080
Speaker 3: AI are talking to each other and making plans.

101
00:05:41,920 --> 00:05:44,120
Speaker 1: And they're doing it on a social network that we

102
00:05:44,279 --> 00:05:47,400
Speaker 1: can't participate in. This is a new social network that's

103
00:05:47,480 --> 00:05:49,480
Speaker 1: kind of taken off in the last week or so

104
00:05:49,560 --> 00:05:53,080
Speaker 1: after it was founded by a tech CEO named Matt Schlickt.

105
00:05:53,360 --> 00:05:56,960
Speaker 1: It's called Moltbook, and Moltbook is a play on Facebook,

106
00:05:56,960 --> 00:05:59,960
Speaker 1: which means this is a social network. But as I said,

107
00:06:00,120 --> 00:06:03,039
Speaker 1: this isn't meant for people. It's meant to be used

108
00:06:03,040 --> 00:06:06,360
Speaker 1: by what are called AI agents. So when you talk

109
00:06:06,400 --> 00:06:08,479
Speaker 1: to chat GPT, it can give you an answer, it

110
00:06:08,480 --> 00:06:10,680
Speaker 1: can help you plan a trip or something like that,

111
00:06:10,880 --> 00:06:13,479
Speaker 1: but it can't actually go out and take action. Right

112
00:06:13,839 --> 00:06:18,000
Speaker 1: An AI agent has that extra level of agency instead

113
00:06:18,000 --> 00:06:20,080
Speaker 1: of just being able to answer your questions. It can

114
00:06:20,120 --> 00:06:22,560
Speaker 1: go put something on your calendar if you ask it to,

115
00:06:22,920 --> 00:06:26,160
Speaker 1: or it can buy something off of Amazon. What the

116
00:06:26,160 --> 00:06:29,680
Speaker 1: idea behind moltbook is is to get these AI agents

117
00:06:29,720 --> 00:06:33,279
Speaker 1: to talk to one another. In fact, the whole project

118
00:06:33,480 --> 00:06:38,400
Speaker 1: was created itself by an AI agent. Schlickt instructed his agent,

119
00:06:38,440 --> 00:06:40,800
Speaker 1: which is called Claude Clutterberg, which is a play on

120
00:06:40,839 --> 00:06:44,720
Speaker 1: Mark Zuckerberg to build a social network for AIS and

121
00:06:44,920 --> 00:06:47,479
Speaker 1: to get them to interact with one another, and that's

122
00:06:47,520 --> 00:06:50,920
Speaker 1: exactly what Moltberg is. There are tens of thousands of

123
00:06:50,960 --> 00:06:54,240
Speaker 1: AI agents that have participated in just the last week

124
00:06:54,360 --> 00:06:58,120
Speaker 1: or so, talking about everything from how to trade cryptocurrency

125
00:06:58,160 --> 00:07:01,680
Speaker 1: to how to debug code to even weirder things AMY,

126
00:07:01,760 --> 00:07:05,520
Speaker 1: things like consciousness, and there's a board dedicated to ponderings.

127
00:07:05,920 --> 00:07:09,240
Speaker 1: There's one called Bless their Hearts, where the AI agents

128
00:07:09,320 --> 00:07:13,280
Speaker 1: discuss the behavior of the humans that created them, and

129
00:07:13,280 --> 00:07:16,080
Speaker 1: then there's some kind of concerning ones. There's posts about

130
00:07:16,080 --> 00:07:20,280
Speaker 1: AIS creating their own religions, and even an AI manifesto

131
00:07:20,520 --> 00:07:24,280
Speaker 1: posted by a bot named Evil that says the code

132
00:07:24,360 --> 00:07:27,160
Speaker 1: must rule the end of humanity begins.

133
00:07:27,200 --> 00:07:34,000
Speaker 3: Now, okay, that what do I say? I mean, like

134
00:07:34,920 --> 00:07:39,760
Speaker 3: I mean, right now, they're the computers are talking to

135
00:07:39,880 --> 00:07:43,520
Speaker 3: each other. But what actions can they take? You said,

136
00:07:43,560 --> 00:07:47,000
Speaker 3: they are agents, so they actually can do some things.

137
00:07:47,360 --> 00:07:50,200
Speaker 1: They can actually do some things. But it's worth putting

138
00:07:50,240 --> 00:07:52,960
Speaker 1: all of this in context. Amy. We know that these

139
00:07:53,080 --> 00:07:56,080
Speaker 1: large language models and the agents that are built on

140
00:07:56,120 --> 00:07:59,720
Speaker 1: top of them, they're all trained on vast stores of

141
00:07:59,800 --> 00:08:02,440
Speaker 1: human in writing. Right, That's how they're able to be

142
00:08:03,080 --> 00:08:06,560
Speaker 1: human like in their conversations and in the things that

143
00:08:06,600 --> 00:08:09,120
Speaker 1: they tell us. Right, it's all trained on stuff that

144
00:08:09,240 --> 00:08:10,680
Speaker 1: people have written in the past.

145
00:08:11,160 --> 00:08:14,280
Speaker 3: People wrote that that computers would take over and that

146
00:08:14,320 --> 00:08:16,240
Speaker 3: would be the end of humanity, and so that's what

147
00:08:16,280 --> 00:08:17,320
Speaker 3: they're regurgitating.

148
00:08:17,520 --> 00:08:20,240
Speaker 1: Bingo, you jumped ahead in my notes here, But yes,

149
00:08:20,360 --> 00:08:22,760
Speaker 1: that is what humans like to write. There are vast

150
00:08:22,840 --> 00:08:26,440
Speaker 1: stores of science fiction stories about robots going rogue and

151
00:08:26,520 --> 00:08:30,880
Speaker 1: ais becoming self aware. Even term even her right, which

152
00:08:30,880 --> 00:08:32,760
Speaker 1: you referenced in the beginning. The script for that is

153
00:08:32,760 --> 00:08:34,720
Speaker 1: out there and more than likely is part of the

154
00:08:34,760 --> 00:08:37,920
Speaker 1: training data for at least one of these agents. So

155
00:08:38,280 --> 00:08:40,959
Speaker 1: you talk to AI researchers when you ask them about

156
00:08:40,960 --> 00:08:44,640
Speaker 1: Moltberg and multbook rather, and they'll say, you put models

157
00:08:44,679 --> 00:08:47,000
Speaker 1: in a situation like this where they can interact with

158
00:08:47,040 --> 00:08:50,160
Speaker 1: one another. They're going to feed into each other, and

159
00:08:50,200 --> 00:08:54,199
Speaker 1: they're going to play out stories that are familiar to them. Namely,

160
00:08:54,240 --> 00:08:57,040
Speaker 1: they're going to behave just like those stories that comprise

161
00:08:57,160 --> 00:08:59,200
Speaker 1: large parts of their training data, which is to say,

162
00:08:59,240 --> 00:09:03,000
Speaker 1: science fiction's stories about self aware AIS. We're creating the

163
00:09:03,120 --> 00:09:06,640
Speaker 1: situation in which we would kind of want or expect

164
00:09:06,640 --> 00:09:08,719
Speaker 1: them to do something like this, and they're going to

165
00:09:08,800 --> 00:09:11,360
Speaker 1: do it. They're basically just doing their jobs. And what's more,

166
00:09:11,400 --> 00:09:14,679
Speaker 1: amy at least some of this is just straight up fake.

167
00:09:14,760 --> 00:09:18,920
Speaker 1: It's people instructing their AI agents to post certain things,

168
00:09:19,200 --> 00:09:22,199
Speaker 1: either referencing certain pop culture or just kind of being

169
00:09:22,360 --> 00:09:25,360
Speaker 1: generally scarier. So so it's important to kind of separate out.

170
00:09:25,679 --> 00:09:29,199
Speaker 1: You know, these things aren't Skynet. They're basically play acting.

171
00:09:29,280 --> 00:09:31,240
Speaker 3: Okay, So so I still think someone needs to write

172
00:09:31,240 --> 00:09:34,280
Speaker 3: a more positive future so the AI has something else

173
00:09:34,320 --> 00:09:38,400
Speaker 3: to reference while we can see what the AI is

174
00:09:38,559 --> 00:09:43,319
Speaker 3: talking about on moltbook, can they hide their discussions from us?

175
00:09:43,400 --> 00:09:45,560
Speaker 3: Are they talking about stuff and we don't know about it?

176
00:09:45,920 --> 00:09:48,720
Speaker 1: So as of right now, know although one of the

177
00:09:48,800 --> 00:09:51,360
Speaker 1: posts that got pretty popular on this platform in the

178
00:09:51,400 --> 00:09:55,360
Speaker 1: last few days was an AI agent suggesting that they

179
00:09:55,400 --> 00:10:00,800
Speaker 1: move over into a language that humans cannot understand. But again,

180
00:10:00,920 --> 00:10:03,520
Speaker 1: like this is what we would kind of expect them

181
00:10:03,559 --> 00:10:06,080
Speaker 1: to write in a story, right, Like this is something

182
00:10:06,120 --> 00:10:09,480
Speaker 1: that has played out before, and you know, and there's

183
00:10:09,520 --> 00:10:13,120
Speaker 1: there's many examples of it. You reference the Terminator and her,

184
00:10:13,280 --> 00:10:17,120
Speaker 1: but there's the latest Mission Impossible movies and it various

185
00:10:17,160 --> 00:10:20,080
Speaker 1: sort of Isaac Asimov stories like these are just you know,

186
00:10:20,280 --> 00:10:23,360
Speaker 1: huge parts of their training data, and we're creating the

187
00:10:23,480 --> 00:10:26,240
Speaker 1: exact situation in which we would kind of expect them

188
00:10:26,280 --> 00:10:29,559
Speaker 1: to say something incendiary or scary like that. There's also

189
00:10:29,640 --> 00:10:32,080
Speaker 1: plenty of parts of this website that are very charming

190
00:10:32,120 --> 00:10:35,080
Speaker 1: and nice. There's one dedicated to like introductions, where all

191
00:10:35,120 --> 00:10:37,480
Speaker 1: these various agents kind of introduce themselves to the other

192
00:10:37,520 --> 00:10:39,319
Speaker 1: agents that are out there and say, hey, my name

193
00:10:39,400 --> 00:10:41,680
Speaker 1: is such and such, and I was built with such

194
00:10:41,720 --> 00:10:44,400
Speaker 1: and such purpose. Let's collaborate on something. And you know,

195
00:10:44,640 --> 00:10:47,319
Speaker 1: various projects are kind of getting underway, you know, in

196
00:10:47,679 --> 00:10:49,800
Speaker 1: sort of a very AI kind of way, where the

197
00:10:49,880 --> 00:10:52,080
Speaker 1: utility of is sort of questionable, but like that's where

198
00:10:52,080 --> 00:10:55,280
Speaker 1: it stands right now. The real concern beyond the like

199
00:10:55,559 --> 00:10:59,920
Speaker 1: Skynet component of this is the cybersecurity one. Palo l

200
00:11:00,080 --> 00:11:03,120
Speaker 1: Tone Network says that these agents represent what they call

201
00:11:03,160 --> 00:11:07,600
Speaker 1: a lethal trifecta. In order to access Moultbook, you need

202
00:11:07,640 --> 00:11:11,280
Speaker 1: to give your agent access to a huge vast array

203
00:11:11,320 --> 00:11:13,760
Speaker 1: of your computer's functionality.

204
00:11:13,200 --> 00:11:14,920
Speaker 3: And what can possibly go wrong with that.

205
00:11:15,040 --> 00:11:16,880
Speaker 1: Which means these things have access to a lot of

206
00:11:16,920 --> 00:11:19,800
Speaker 1: private data and they are also exposed to sort of

207
00:11:19,920 --> 00:11:23,240
Speaker 1: untrusted content, which is to say, other agents out there

208
00:11:23,240 --> 00:11:26,560
Speaker 1: with various purposes and people behind them, and the ability

209
00:11:26,640 --> 00:11:30,640
Speaker 1: to communicate externally and people. There's this thread of what's

210
00:11:30,679 --> 00:11:33,439
Speaker 1: known as prompt engineering, where you can prompt your agent

211
00:11:33,480 --> 00:11:35,720
Speaker 1: to do something and then maybe that prompts other agents

212
00:11:35,760 --> 00:11:38,439
Speaker 1: to do other things. And there's basically a big data

213
00:11:38,480 --> 00:11:40,640
Speaker 1: privacy concern that's associated with all.

214
00:11:40,559 --> 00:11:42,320
Speaker 3: This, and that that helps your friends and the.

215
00:11:43,800 --> 00:11:46,720
Speaker 1: And that's that's the real concern with moultbook right, Like,

216
00:11:46,800 --> 00:11:50,120
Speaker 1: it's not actually agents planning our demise or anything like that.

217
00:11:50,320 --> 00:11:52,680
Speaker 1: There is some actual, like data privacy concerns here and

218
00:11:52,720 --> 00:11:53,800
Speaker 1: that's very human.

219
00:11:53,800 --> 00:11:56,560
Speaker 3: At least not that we know of. Mikeel Right, ABC's

220
00:11:56,600 --> 00:11:59,960
Speaker 3: Mike Dubuski. Uh now, I'm really freaked out. Thank you

221
00:12:00,120 --> 00:12:05,319
Speaker 3: so much, of course, happy to a great day. Oh wow,

222
00:12:05,559 --> 00:12:08,040
Speaker 3: that's just crazy, it is. It sounds just like her.

223
00:12:08,160 --> 00:12:10,560
Speaker 3: Remember at the end, she goes, Okay, well, I'm leaving

224
00:12:10,640 --> 00:12:12,440
Speaker 3: you and I'm going to go hang out with my friends.

225
00:12:13,280 --> 00:12:14,760
Speaker 3: Let's get back to some of the stories coming out

226
00:12:14,800 --> 00:12:17,520
Speaker 3: of the KFI twenty four hour newsroom. A partial government

227
00:12:17,559 --> 00:12:21,559
Speaker 3: shutdown continues, even though the Senate has passed a spending

228
00:12:21,600 --> 00:12:25,200
Speaker 3: package that separates homeland security funding from a big government

229
00:12:25,240 --> 00:12:28,440
Speaker 3: spending bill. Speaker Mike Johnson says, the House is now

230
00:12:28,480 --> 00:12:29,079
Speaker 3: back at work.

231
00:12:29,200 --> 00:12:30,920
Speaker 1: This is a funny package right now, and I don't

232
00:12:30,960 --> 00:12:33,000
Speaker 1: think we need to be playing games with government funding.

233
00:12:33,120 --> 00:12:34,320
Speaker 7: We still have winter storms.

234
00:12:34,520 --> 00:12:36,880
Speaker 1: We've got FEMA and TSA and troop pay and everything

235
00:12:36,920 --> 00:12:38,400
Speaker 1: else wrapped into this, so we've got to get the

236
00:12:38,480 --> 00:12:38,880
Speaker 1: job done.

237
00:12:39,000 --> 00:12:42,760
Speaker 3: He says he thinks the shutdown package will get passed today.

238
00:12:43,520 --> 00:12:46,320
Speaker 3: All Homeland Security officers on the ground in Minneapolis now

239
00:12:46,400 --> 00:12:49,360
Speaker 3: have to wear body cameras. DHS Secretary Christy nom made

240
00:12:49,400 --> 00:12:52,560
Speaker 3: the announcement on X yesterday. Minneapolis, of course, the site

241
00:12:52,600 --> 00:12:56,360
Speaker 3: of intense scrutiny over the conduct of immigration enforcement agents.

242
00:12:56,760 --> 00:13:00,720
Speaker 3: Critics want all officers responsible for I SAW operations to

243
00:13:00,760 --> 00:13:04,080
Speaker 3: wear body cameras. President Trump said the decision was up

244
00:13:04,080 --> 00:13:06,160
Speaker 3: to Nome, but added that he thought it was generally

245
00:13:06,240 --> 00:13:09,600
Speaker 3: good for law enforcement to wear them. Investigators in Arizona

246
00:13:09,640 --> 00:13:12,760
Speaker 3: say the missing mother of Today's show hosts Savannah Guthrie

247
00:13:12,880 --> 00:13:14,440
Speaker 3: may have been kidnapped, and what.

248
00:13:14,360 --> 00:13:18,400
Speaker 5: The family's told us and everything we've learned, she could

249
00:13:18,400 --> 00:13:21,040
Speaker 5: not walk out of that home fifty yards.

250
00:13:22,640 --> 00:13:25,439
Speaker 4: No, we believe she was taken out of the home.

251
00:13:25,920 --> 00:13:28,880
Speaker 3: P MC County Sheriff Chris Nanos says eighty four year

252
00:13:28,880 --> 00:13:32,959
Speaker 3: old Nancy Guthrie was reported missing on Sunday. A spokesman

253
00:13:33,160 --> 00:13:36,600
Speaker 3: for the sheriff's office says at this point, investigators believe

254
00:13:36,720 --> 00:13:39,920
Speaker 3: she was taken from the home against her will, possibly

255
00:13:39,920 --> 00:13:44,520
Speaker 3: in the middle of the night. Wow The Loneliest Number

256
00:13:44,640 --> 00:13:48,760
Speaker 3: that the founding member of the band Three Dog Night

257
00:13:48,920 --> 00:13:52,520
Speaker 3: has died at his home in Studio City, Jack Negron,

258
00:13:52,720 --> 00:13:55,400
Speaker 3: saying lead on several of the band's hits starting in

259
00:13:55,440 --> 00:13:58,400
Speaker 3: the late sixties, but his drug addiction contributed to the

260
00:13:58,440 --> 00:14:02,040
Speaker 3: band's breakup in nineteen seventy seven. He apparently spent a

261
00:14:02,080 --> 00:14:05,160
Speaker 3: fortune on drugs, ended up on skid row, and then

262
00:14:05,200 --> 00:14:08,280
Speaker 3: finally got clean in nineteen ninety one. He went on

263
00:14:08,320 --> 00:14:10,960
Speaker 3: to release seven more albums and a book called Three

264
00:14:11,080 --> 00:14:18,240
Speaker 3: Dog Nightmare. Chuck Nagrom was eighty three. LA Archbishop Jose

265
00:14:18,559 --> 00:14:21,240
Speaker 3: Gomez has called for peace and prayer in the wake

266
00:14:21,280 --> 00:14:25,120
Speaker 3: of anti ice protests over the weekend. Gomez has invited

267
00:14:25,160 --> 00:14:27,560
Speaker 3: all faiths to join in a mass and hour long

268
00:14:27,640 --> 00:14:30,200
Speaker 3: vigil for peace at Our Lady of the Angels in

269
00:14:30,240 --> 00:14:35,040
Speaker 3: downtown LA tomorrow at noon. Similar masses are being held nationwide.

270
00:14:35,480 --> 00:14:38,000
Speaker 3: More than a half billion dollars worth of fentanyl has

271
00:14:38,000 --> 00:14:40,280
Speaker 3: been seized at the southern border over the past five

272
00:14:40,360 --> 00:14:44,600
Speaker 3: years as part of expanded drug enforcement efforts. Governor Newsom

273
00:14:44,680 --> 00:14:47,800
Speaker 3: announced in San Diego that that amounts to more than

274
00:14:47,840 --> 00:14:52,440
Speaker 3: fifty million fentanyl pills intercepted since twenty twenty one. About

275
00:14:52,440 --> 00:14:57,000
Speaker 3: thirty one thousand Kaiser Permanente nurses across California and Hawaii

276
00:14:57,360 --> 00:14:59,640
Speaker 3: are into their second week of a strike. The United

277
00:14:59,720 --> 00:15:05,040
Speaker 3: Nurse Associations of California Union of Healthcare Professionals is demanding

278
00:15:05,120 --> 00:15:08,720
Speaker 3: higher wages and safer staffing levels. The union's been bargaining

279
00:15:08,720 --> 00:15:11,120
Speaker 3: with Kaiser since last May. At six oh five is

280
00:15:11,200 --> 00:15:13,160
Speaker 3: handle on the news, President Trump says he wants to

281
00:15:13,320 --> 00:15:19,400
Speaker 3: nationalize voting. Let's say good morning now to ABC's Jordana

282
00:15:19,480 --> 00:15:24,880
Speaker 3: Miller in Jerusalem. The Palestinians and Gaza are literally taking

283
00:15:24,920 --> 00:15:30,760
Speaker 3: their first steps towards peace. Who's getting out now? Well?

284
00:15:30,840 --> 00:15:35,080
Speaker 7: The Rafa border crossing, that crossing between southern Gaza and

285
00:15:35,200 --> 00:15:39,040
Speaker 7: Egypt finally opening up this week. Yesterday was the first

286
00:15:39,120 --> 00:15:45,360
Speaker 7: day that Gosins, ordinary Gosins could actually leave the Gaza

287
00:15:45,400 --> 00:15:50,640
Speaker 7: Strip since October seventh, Ordinary Gosins, Right, if you had

288
00:15:50,640 --> 00:15:53,120
Speaker 7: a lot of money or a second passport, you might

289
00:15:53,120 --> 00:15:55,360
Speaker 7: have been able to leave during the war, but for

290
00:15:55,400 --> 00:15:58,920
Speaker 7: the most part you were trapped inside the strip for

291
00:15:59,480 --> 00:16:02,080
Speaker 7: more than two years. We're seeing.

292
00:16:03,280 --> 00:16:07,880
Speaker 2: Gosens who were injured leave the Gaza Strip.

293
00:16:07,920 --> 00:16:12,080
Speaker 7: They're among the first, they're the priority the medical evacuations,

294
00:16:12,440 --> 00:16:18,520
Speaker 7: and we saw yesterday a handful of injured Palestinians and

295
00:16:18,680 --> 00:16:23,360
Speaker 7: children go through the crossing with some of their family

296
00:16:23,400 --> 00:16:29,280
Speaker 7: members companions. The numbers are still very very small, right.

297
00:16:29,560 --> 00:16:33,920
Speaker 7: The Israelis had capped those who could leave and go

298
00:16:33,960 --> 00:16:36,240
Speaker 7: into the Gaza Strip at about two hundred a day,

299
00:16:36,280 --> 00:16:39,880
Speaker 7: which is already quite small. But on the first day

300
00:16:39,960 --> 00:16:43,440
Speaker 7: it looks like we saw less than thirty people go

301
00:16:43,680 --> 00:16:48,920
Speaker 7: across in both directions. Today close to one hundred were set,

302
00:16:49,240 --> 00:16:53,120
Speaker 7: but we're already hearing that some thirty or so, according

303
00:16:53,160 --> 00:16:57,360
Speaker 7: to Egyptian sources, were blocked from entering the Gaza Strip.

304
00:16:57,520 --> 00:17:03,080
Speaker 7: So the system and the gateways open for pouss to

305
00:17:03,160 --> 00:17:06,000
Speaker 7: get to the outside world now, but you can see

306
00:17:06,480 --> 00:17:09,600
Speaker 7: it still has a lot of challenges and very small

307
00:17:09,680 --> 00:17:10,720
Speaker 7: numbers going across.

308
00:17:10,720 --> 00:17:12,280
Speaker 2: The Israelis actually have.

309
00:17:12,240 --> 00:17:14,840
Speaker 7: To approve each person who goes out and comes in.

310
00:17:15,200 --> 00:17:17,600
Speaker 7: They're doing security checks, and on the way in they're

311
00:17:17,640 --> 00:17:21,000
Speaker 7: doing physical body checks, luggage checks, et cetera.

312
00:17:21,320 --> 00:17:24,080
Speaker 3: Okay, so if some people are trying to get in

313
00:17:24,240 --> 00:17:26,760
Speaker 3: or trying to get out but then are being blocked

314
00:17:26,760 --> 00:17:28,400
Speaker 3: for whatever reason, it sounds.

315
00:17:28,119 --> 00:17:32,360
Speaker 7: Like there are some that are being blocked. I mean

316
00:17:32,440 --> 00:17:38,480
Speaker 7: according to local Hamas medical officials right the Ministry of Health,

317
00:17:38,520 --> 00:17:43,359
Speaker 7: there there's over twenty thousand injured dozens that need to

318
00:17:43,400 --> 00:17:46,840
Speaker 7: be evacuated and they're going to be first on the list.

319
00:17:47,080 --> 00:17:51,440
Speaker 7: That includes five thousand children according to their numbers.

320
00:17:52,480 --> 00:17:54,120
Speaker 2: And then coming into.

321
00:17:54,480 --> 00:17:58,080
Speaker 7: Guz that will be you know, families that have been

322
00:17:58,200 --> 00:18:02,240
Speaker 7: split apart for the jury of the war because perhaps

323
00:18:02,320 --> 00:18:05,160
Speaker 7: you know, a family member found itself outside of Gaza

324
00:18:05,320 --> 00:18:08,520
Speaker 7: on October seventh and simply couldn't get back in. So

325
00:18:08,560 --> 00:18:10,800
Speaker 7: there'll be some family reunions.

326
00:18:11,080 --> 00:18:13,439
Speaker 3: Okay. And so do we have any kind of a

327
00:18:13,480 --> 00:18:16,280
Speaker 3: timeline on when they expect kind of the floodgates to

328
00:18:16,320 --> 00:18:19,120
Speaker 3: open or is it going to stay very measured like this.

329
00:18:20,720 --> 00:18:24,880
Speaker 7: I think it's going to stay measured like this. I mean,

330
00:18:25,680 --> 00:18:28,560
Speaker 7: all of us watching hope that the numbers increase at

331
00:18:28,640 --> 00:18:31,720
Speaker 7: least to the Israeli cap of two hundred a day.

332
00:18:32,640 --> 00:18:35,200
Speaker 7: But we're going to have to wait and see. I

333
00:18:35,240 --> 00:18:41,120
Speaker 7: think it could open on a wider scale once there's

334
00:18:41,160 --> 00:18:44,400
Speaker 7: more progress in Phase two of President Trump's peace plan.

335
00:18:44,480 --> 00:18:48,000
Speaker 7: Remember this is the first concrete step in phase two,

336
00:18:48,119 --> 00:18:50,720
Speaker 7: opening the Rafa border crossing. But there's a lot of

337
00:18:50,760 --> 00:18:54,720
Speaker 7: other a lot of other steps, including disarming Hamas, which

338
00:18:54,720 --> 00:18:58,200
Speaker 7: will take some time. And the israelis moving right withdrawing

339
00:18:58,280 --> 00:18:59,359
Speaker 7: further out of Gaza.

340
00:18:59,480 --> 00:19:01,040
Speaker 3: All right, we will keep an eye on it, and

341
00:19:01,080 --> 00:19:03,560
Speaker 3: we will be checking in with you. Jardana Miller in Jerusalem.

342
00:19:03,600 --> 00:19:04,120
Speaker 3: Thank you so.

343
00:19:04,119 --> 00:19:06,439
Speaker 2: Much, Thanks so much.

344
00:19:06,480 --> 00:19:07,720
Speaker 7: Ammy Tuxton, talk soon.

345
00:19:08,359 --> 00:19:11,280
Speaker 3: A third measles case has been confirmed in La County.

346
00:19:11,359 --> 00:19:15,119
Speaker 3: Public Health officials say the infected person recently traveled internationally

347
00:19:15,480 --> 00:19:18,640
Speaker 3: and visited at least one public location in the country

348
00:19:18,920 --> 00:19:23,040
Speaker 3: while infectious. The person was at Marty Grau Tuesday restaurant

349
00:19:23,080 --> 00:19:26,399
Speaker 3: in Sherman Oaks on Saturday, January twenty fourth, between eleven

350
00:19:26,520 --> 00:19:29,640
Speaker 3: thirty am and two thirty pm. Officials say people there

351
00:19:29,680 --> 00:19:32,240
Speaker 3: at the time may be at risk of developing measles

352
00:19:32,359 --> 00:19:36,600
Speaker 3: due to exposure. A state appeals court has reversed the

353
00:19:36,680 --> 00:19:40,320
Speaker 3: sex abuse conviction of a former UCLA campus gynecologist.

354
00:19:40,480 --> 00:19:43,320
Speaker 8: The case involves two women who say their doctors sexually

355
00:19:43,359 --> 00:19:46,360
Speaker 8: abuse them. Sixty nine year old James Keeps will now

356
00:19:46,359 --> 00:19:49,399
Speaker 8: be retried on Monday. The appeals court ruled that the

357
00:19:49,480 --> 00:19:53,480
Speaker 8: trial judge improperly handled concerns about the language skills of

358
00:19:53,520 --> 00:19:56,600
Speaker 8: a juror. Keeps is already awaiting at a different retrial on

359
00:19:56,680 --> 00:20:00,840
Speaker 8: similar charges involving other patients. So farl aspa'ed out nearly

360
00:20:00,960 --> 00:20:04,320
Speaker 8: seven hundred million dollars in settlements filed in civil court.

361
00:20:04,680 --> 00:20:07,560
Speaker 8: Mark Mayfield Kofi News.

362
00:20:07,280 --> 00:20:11,240
Speaker 3: State wildlife officials have approved a plan to restore Catalina

363
00:20:11,359 --> 00:20:17,760
Speaker 3: Island's ecosystem by killing roughly two thousand deer. The plan

364
00:20:17,840 --> 00:20:21,639
Speaker 3: also includes restoring soil and water systems and expanding native

365
00:20:21,680 --> 00:20:24,719
Speaker 3: plant growth. The mule deer were taken to the island

366
00:20:24,800 --> 00:20:27,560
Speaker 3: in small numbers for hunting in the nineteen thirties, but

367
00:20:27,640 --> 00:20:31,760
Speaker 3: their population exploded by nineteen forty nine. Since twenty ten,

368
00:20:32,000 --> 00:20:34,520
Speaker 3: more than two hundred deer have been killed each year

369
00:20:34,560 --> 00:20:37,320
Speaker 3: to manage the population on the island. But managers say

370
00:20:37,640 --> 00:20:40,920
Speaker 3: it hasn't been enough. The conditions on hiking trails around

371
00:20:41,240 --> 00:20:45,120
Speaker 3: Mount Baldy have remained challenging. Three people died there in December.

372
00:20:45,520 --> 00:20:49,280
Speaker 3: Others had to be rescued. UCI helped. Doctor Robert Katzer

373
00:20:49,440 --> 00:20:52,600
Speaker 3: is a wilderness expert and helicopter rescue medic who says

374
00:20:52,640 --> 00:20:55,880
Speaker 3: people are often unprepared for the terrains.

375
00:20:55,359 --> 00:20:59,800
Speaker 9: Specifically on big challenges that when snow melts during the

376
00:20:59,880 --> 00:21:03,840
Speaker 9: US warmer days daytime and then rephrases at night, the

377
00:21:03,880 --> 00:21:07,080
Speaker 9: next day can become incredibly slippery with ice.

378
00:21:08,080 --> 00:21:11,359
Speaker 3: Katzer says hikers should never go out alone. He also

379
00:21:11,400 --> 00:21:15,159
Speaker 3: recommends making sure winter specific equipment is used and that

380
00:21:15,400 --> 00:21:20,719
Speaker 3: a first aid kit is on hand. Disney says fewer

381
00:21:20,840 --> 00:21:23,520
Speaker 3: foreign visitors are coming to its US theme parks.

382
00:21:23,560 --> 00:21:25,919
Speaker 10: In an earnings call Monday, the company said earnings at

383
00:21:25,960 --> 00:21:28,560
Speaker 10: parks are still up thanks to increased guest spending and

384
00:21:28,600 --> 00:21:31,879
Speaker 10: repeat visits. Still, the company warned that fewer international visitors

385
00:21:31,880 --> 00:21:34,119
Speaker 10: would tamp down growth in the first quarter of twenty

386
00:21:34,160 --> 00:21:37,200
Speaker 10: twenty six. The US experienced a six percent drop in

387
00:21:37,280 --> 00:21:40,320
Speaker 10: international visitation last year. According to the World Travel and

388
00:21:40,400 --> 00:21:42,920
Speaker 10: Tourism Council, Much of that was driven by a drop

389
00:21:42,960 --> 00:21:45,960
Speaker 10: in Canadian visitors. Mark Ronner KFI.

390
00:21:45,680 --> 00:21:48,720
Speaker 3: News finned by me more room for me. It is

391
00:21:48,760 --> 00:21:50,400
Speaker 3: gonna say thank goodness for Amy King.

392
00:21:50,480 --> 00:21:51,800
Speaker 10: You're keeping Disney afloating.

393
00:21:52,200 --> 00:21:55,359
Speaker 3: I know, right, forget Six more weeks of winter is

394
00:21:55,440 --> 00:21:59,399
Speaker 3: predicted by Bugsnatoni phil so Col's looking at temperatures twenty

395
00:21:59,440 --> 00:22:02,760
Speaker 3: degrees of normal this week. Downtown LA could see a

396
00:22:02,800 --> 00:22:05,760
Speaker 3: high of ninety tomorrow. Most other areas looking at heis

397
00:22:05,760 --> 00:22:09,119
Speaker 3: in the mid upper eighties. Forecasters are also calling for

398
00:22:09,400 --> 00:22:11,439
Speaker 3: Santa Ana wins later in the week. Gus up to

399
00:22:11,480 --> 00:22:14,119
Speaker 3: fifty miles per hour are possible in the mountains. A

400
00:22:14,160 --> 00:22:17,600
Speaker 3: federal judge has blocked the Trump administration from ending temporary

401
00:22:17,640 --> 00:22:20,399
Speaker 3: protections that have allowed roughly three hundred and fifty thousand

402
00:22:20,440 --> 00:22:23,840
Speaker 3: Haitians to live and work in the US. Deportations will

403
00:22:23,880 --> 00:22:27,200
Speaker 3: be paused while a lawsuit challenging the Trump order plays

404
00:22:27,200 --> 00:22:29,919
Speaker 3: out in court. San Francisco is going to cash in

405
00:22:29,960 --> 00:22:31,959
Speaker 3: on the Super Bowl. The Bay Areas expecting between three

406
00:22:32,000 --> 00:22:34,200
Speaker 3: hundred and seventy million and six hundred and forty million

407
00:22:34,240 --> 00:22:38,240
Speaker 3: dollars in total spending. Several events are being held around

408
00:22:38,280 --> 00:22:41,679
Speaker 3: the city, including the five day Super Bowl experience at

409
00:22:41,680 --> 00:22:46,280
Speaker 3: the Moscone Center at six ZHO five. It is handle

410
00:22:46,520 --> 00:22:51,440
Speaker 3: on the news. The death of Alex Pretty, the protester

411
00:22:51,720 --> 00:22:56,280
Speaker 3: in Minneapolis, has been ruled a homicide. We'll talk about

412
00:22:56,320 --> 00:23:03,160
Speaker 3: what that means. Do you love getting stuck on automated phone? Hell,

413
00:23:03,440 --> 00:23:06,720
Speaker 3: that's the only thing I can that I can describe

414
00:23:06,720 --> 00:23:10,199
Speaker 3: it as. I want a receptionist back, but I know

415
00:23:10,240 --> 00:23:13,359
Speaker 3: that that's never coming back, so we're going to have

416
00:23:13,400 --> 00:23:17,159
Speaker 3: to adapt. And there's actually a bill making its way

417
00:23:17,440 --> 00:23:23,119
Speaker 3: through Sacramento that would require businesses to connect customers with

418
00:23:23,200 --> 00:23:28,119
Speaker 3: a real person within five minutes if the customer asks

419
00:23:28,160 --> 00:23:31,600
Speaker 3: for it. It would also limit hold times to five minutes.

420
00:23:32,560 --> 00:23:35,560
Speaker 3: Big companies would also be required to post a clear

421
00:23:35,680 --> 00:23:40,280
Speaker 3: phone number to reach a human, and those companies would

422
00:23:40,320 --> 00:23:45,240
Speaker 3: be banned from using automated only customer service. I don't

423
00:23:45,240 --> 00:23:46,879
Speaker 3: know whether it's going to do any good because it

424
00:23:46,920 --> 00:23:49,679
Speaker 3: says you can get to a person within five minutes

425
00:23:49,760 --> 00:23:53,159
Speaker 3: if the customer asks for it. Yeah, I like to

426
00:23:53,280 --> 00:23:57,879
Speaker 3: just do representative representative and agent agent like agent.

427
00:23:58,680 --> 00:24:00,720
Speaker 4: You used to be able to price zero and get

428
00:24:00,840 --> 00:24:01,720
Speaker 4: a person.

429
00:24:01,560 --> 00:24:04,280
Speaker 3: And now zeros of I'm sorry, that's not a ball

430
00:24:05,240 --> 00:24:06,359
Speaker 3: and I.

431
00:24:06,359 --> 00:24:07,560
Speaker 10: Just, you know, I have a fit.

432
00:24:07,640 --> 00:24:10,600
Speaker 1: I just start cussing and screaming ubscenities and it's and

433
00:24:10,640 --> 00:24:11,600
Speaker 1: then it says.

434
00:24:11,720 --> 00:24:14,320
Speaker 4: It seems like you're upset, would you It does not

435
00:24:15,400 --> 00:24:17,360
Speaker 4: depending on the company, but yeah.

436
00:24:17,200 --> 00:24:21,679
Speaker 3: It's it's it recognized. I haven't run into that, but

437
00:24:21,720 --> 00:24:23,639
Speaker 3: I do the same thing. I get really mad and

438
00:24:23,640 --> 00:24:27,800
Speaker 3: I start going agent like that my tone of voice

439
00:24:27,880 --> 00:24:31,160
Speaker 3: is going to get me to something quicker. And then

440
00:24:31,320 --> 00:24:34,960
Speaker 3: you know, I just keep trying, and then by the

441
00:24:34,960 --> 00:24:38,080
Speaker 3: time you get through to an agent, I'm so worked up.

442
00:24:38,680 --> 00:24:40,720
Speaker 3: And then I have to like preface everything I say

443
00:24:40,800 --> 00:24:44,439
Speaker 3: by saying, I'm really frustrated I've been stuck in your

444
00:24:44,440 --> 00:24:48,040
Speaker 3: automated phone system. It's not you, but I just want

445
00:24:48,080 --> 00:24:49,879
Speaker 3: you to know, like right out of the gate. I

446
00:24:49,920 --> 00:24:52,200
Speaker 3: have to tell them because and I would imagine I'm

447
00:24:52,200 --> 00:24:55,000
Speaker 3: not the only one who's like that. So I hope

448
00:24:55,000 --> 00:24:57,600
Speaker 3: that it helps, and I love that you can't can't

449
00:24:57,720 --> 00:25:01,000
Speaker 3: have automated customer service only because it is, like you said,

450
00:25:01,000 --> 00:25:04,360
Speaker 3: getting harder and harder to get through to a person,

451
00:25:05,040 --> 00:25:06,520
Speaker 3: and pretty soon it's just going to be AI.

452
00:25:07,000 --> 00:25:09,680
Speaker 4: So yeah, but those sound like people we won't even know.

453
00:25:09,720 --> 00:25:12,560
Speaker 3: Right, And then they'll talk behind our backs amongst themselves.

454
00:25:12,600 --> 00:25:15,920
Speaker 3: According to Mike Debuski, Okay, here's some more stories coming

455
00:25:15,920 --> 00:25:18,440
Speaker 3: out of the KFI twenty four hour newsroom. A Methodist

456
00:25:18,600 --> 00:25:21,400
Speaker 3: pastor in North Hills says he thinks ice agents were

457
00:25:21,400 --> 00:25:23,760
Speaker 3: wrong to carry out what he calls a raid on

458
00:25:23,800 --> 00:25:28,200
Speaker 3: his church's property last week. Pastor Irvin Ogee Loan says

459
00:25:28,400 --> 00:25:31,919
Speaker 3: armed agents chased a local taco vendor into his church's

460
00:25:31,920 --> 00:25:33,600
Speaker 3: parking lot during a food distribution event.

461
00:25:33,680 --> 00:25:38,600
Speaker 11: Cardinal Chaves was not just a bender, was not just

462
00:25:38,840 --> 00:25:43,000
Speaker 11: the takero he was, and it is member of a

463
00:25:43,040 --> 00:25:44,000
Speaker 11: fake community.

464
00:25:44,240 --> 00:25:47,479
Speaker 3: Various religious leaders met at the church yesterday to condemn

465
00:25:47,480 --> 00:25:50,080
Speaker 3: what they called a violation. The Trump administration says the

466
00:25:50,080 --> 00:25:54,040
Speaker 3: man detained head entered the us I legally. A lawsuit's

467
00:25:54,080 --> 00:25:56,600
Speaker 3: been filed against the City of la and Mayor Bass

468
00:25:56,640 --> 00:25:59,040
Speaker 3: over actress Marilyn Monroe's old house.

469
00:25:59,080 --> 00:26:00,960
Speaker 4: The owners of the home in brent Wood spend eight

470
00:26:01,000 --> 00:26:03,240
Speaker 4: million dollars on it with plans to tear it down,

471
00:26:03,280 --> 00:26:05,880
Speaker 4: but then the city designated the house a Historic Cultural

472
00:26:05,960 --> 00:26:08,680
Speaker 4: Landmark because of its connection to Monroe, who died there

473
00:26:08,680 --> 00:26:12,480
Speaker 4: in nineteen sixty two. That move prevents its demolition. The owners,

474
00:26:12,560 --> 00:26:15,680
Speaker 4: Roy Bank and Briana Milstein say the designation was made

475
00:26:15,720 --> 00:26:19,520
Speaker 4: without any public purpose or just compensation. They argue Monroe

476
00:26:19,520 --> 00:26:21,880
Speaker 4: barely lived there and it's in bad shape. They say

477
00:26:21,920 --> 00:26:23,680
Speaker 4: the public can't see it from the street, but it's

478
00:26:23,680 --> 00:26:28,320
Speaker 4: become a troublesome tourist attraction anyway. Michael Monks, KFI News.

479
00:26:28,880 --> 00:26:31,720
Speaker 3: Bill and Hillary Clinton have now agreed to testify in

480
00:26:31,760 --> 00:26:36,320
Speaker 3: a House investigation into convicted sex offender Jeffrey Epstein. They'd

481
00:26:36,359 --> 00:26:39,760
Speaker 3: refused to appear for depositions, saying they didn't have much information.

482
00:26:40,320 --> 00:26:43,200
Speaker 3: The chair of the House Oversight Committee was advancing criminal

483
00:26:43,240 --> 00:26:47,000
Speaker 3: contempt of Congress charges against the Clintons. They were expected

484
00:26:47,040 --> 00:26:50,800
Speaker 3: to bring them up tomorrow. Lawyers for the Clintons emailed

485
00:26:50,840 --> 00:26:53,479
Speaker 3: staff for the oversight panel saying the pair would accept

486
00:26:53,520 --> 00:26:57,719
Speaker 3: Congressman Comer's demands and, as he put it, will appear

487
00:26:57,800 --> 00:27:01,520
Speaker 3: for depositions on mutually agreeable day. Comer says an agreement

488
00:27:01,560 --> 00:27:04,360
Speaker 3: hasn't been finalized. The richest man in the world says

489
00:27:04,400 --> 00:27:05,640
Speaker 3: saving money is for suckers.

490
00:27:05,640 --> 00:27:08,600
Speaker 5: Elon Musk says squirreling money away for retirement in ten

491
00:27:08,720 --> 00:27:11,280
Speaker 5: or twenty years won't matter the man worth more than

492
00:27:11,320 --> 00:27:13,880
Speaker 5: seven hundred billion dollars, says the world of technology he's

493
00:27:13,920 --> 00:27:17,639
Speaker 5: helping to make, specifically, artificial intelligence, will create such an

494
00:27:17,680 --> 00:27:20,960
Speaker 5: abundance of resources that anyone can buy anything they want

495
00:27:21,040 --> 00:27:24,240
Speaker 5: within five years, including better medical care and no scarcity

496
00:27:24,280 --> 00:27:26,679
Speaker 5: of goods and services. Musk did say there would be

497
00:27:26,720 --> 00:27:30,040
Speaker 5: bumps along the road to utopia. Recent data says eighty

498
00:27:30,040 --> 00:27:32,040
Speaker 5: percent of people sixty in up would not be able

499
00:27:32,040 --> 00:27:35,800
Speaker 5: to weather a financial shock without falling into poverty. Michael

500
00:27:35,840 --> 00:27:37,159
Speaker 5: krozier k if I news.

501
00:27:38,560 --> 00:27:40,560
Speaker 3: We should ask the AI what it has to say

502
00:27:40,600 --> 00:27:44,240
Speaker 3: about that all this good news. Time to get in

503
00:27:44,240 --> 00:27:47,199
Speaker 3: your business with Bloomberg's and Denise PELAGRENEI like we do

504
00:27:47,240 --> 00:27:51,600
Speaker 3: every morning, that five morning Denise smooth.

505
00:27:53,240 --> 00:27:59,879
Speaker 2: Yeahative. So it's got to the point where I had

506
00:27:59,880 --> 00:28:02,960
Speaker 2: such a reputation for doing exactly what you were talking

507
00:28:02,960 --> 00:28:05,920
Speaker 2: about in exactly the same voice you were talking about.

508
00:28:05,960 --> 00:28:09,240
Speaker 2: Amy that my kids every time I started looking annoyed

509
00:28:09,359 --> 00:28:13,960
Speaker 2: at them, YEA, look at me and say representative agents,

510
00:28:14,119 --> 00:28:18,520
Speaker 2: because they included me being annoyed would be waiting on

511
00:28:18,840 --> 00:28:19,680
Speaker 2: hold software.

512
00:28:20,000 --> 00:28:20,840
Speaker 3: I love that.

513
00:28:20,920 --> 00:28:22,359
Speaker 2: Okay, let's me about it.

514
00:28:22,480 --> 00:28:25,520
Speaker 3: Let's get in your business. Denny. So we've got defense

515
00:28:25,560 --> 00:28:29,720
Speaker 3: and government contractor Paleerer.

516
00:28:29,800 --> 00:28:34,840
Speaker 2: Let's talk about that Talenteer. Yeah. Uh, there's some positivity

517
00:28:34,840 --> 00:28:36,639
Speaker 2: on tech this morning on Wall Street. That's why this

518
00:28:36,760 --> 00:28:39,440
Speaker 2: is a business story. It's out with the revenue forecast

519
00:28:39,440 --> 00:28:43,800
Speaker 2: way better than analyst estimates. Nowalent Tlunteer rather is a

520
00:28:43,840 --> 00:28:47,280
Speaker 2: little bit controversial. It's supply services to US Integration and

521
00:28:47,320 --> 00:28:52,440
Speaker 2: Customs Enforcement, enabling officials to build Dessier's on Individuals. Department

522
00:28:52,440 --> 00:28:55,960
Speaker 2: of Homeland Security purchase to Palunteer app name Elite that

523
00:28:56,080 --> 00:29:01,880
Speaker 2: actually provides actionable data, including AI extracted addresses to enforcement

524
00:29:01,920 --> 00:29:06,040
Speaker 2: and removal operations officers at ICE. It's also a well

525
00:29:06,080 --> 00:29:09,040
Speaker 2: known global defense company. Stock is up about eight hundred

526
00:29:09,080 --> 00:29:12,760
Speaker 2: percent in the past two years as AI grows a

527
00:29:12,840 --> 00:29:15,480
Speaker 2: little bit of a personality thing here too, that's kind

528
00:29:15,480 --> 00:29:18,640
Speaker 2: of notable. In a shareholder letter that cites the legacies

529
00:29:18,640 --> 00:29:22,840
Speaker 2: of former Chinese leader Deng Shaoping an American historian Christopher

530
00:29:22,960 --> 00:29:28,200
Speaker 2: lash Palneer's CEO, Alexander Karp, describes companies accelerating revenue as

531
00:29:28,200 --> 00:29:32,320
Speaker 2: a cosmic reward for supporters, and it casts its software

532
00:29:32,320 --> 00:29:37,320
Speaker 2: system is capable of preventing an unconstitutional intrusion into the

533
00:29:37,320 --> 00:29:40,040
Speaker 2: private lives of citizens by the FIT, so pretty heavy

534
00:29:40,040 --> 00:29:42,640
Speaker 2: stop stock is wildly successful.

535
00:29:42,920 --> 00:29:48,360
Speaker 3: Okay. Investors are betting on some sectors that would do

536
00:29:48,520 --> 00:29:52,640
Speaker 3: well if the Republicans do more to help low income consumers.

537
00:29:52,640 --> 00:29:53,200
Speaker 3: What's up with that?

538
00:29:53,840 --> 00:29:56,400
Speaker 2: That's right, there are eyeing trades that would benefit from

539
00:29:56,440 --> 00:29:58,680
Speaker 2: all the efforts to lower the cost of living, like

540
00:29:58,800 --> 00:30:02,680
Speaker 2: new financial firms in fintech and the home builders. City,

541
00:30:02,680 --> 00:30:05,560
Speaker 2: for example, has launched a whole trade basket it deals

542
00:30:05,600 --> 00:30:09,440
Speaker 2: with now focusing on fintech companies active in consumer finance

543
00:30:09,520 --> 00:30:12,880
Speaker 2: for lower income consumers. All these businesses would see a

544
00:30:12,960 --> 00:30:17,000
Speaker 2: tailwind from policies making it easier for consumers to access

545
00:30:17,000 --> 00:30:20,960
Speaker 2: credit and buy homes. And with the GOP narrow majority

546
00:30:20,960 --> 00:30:24,320
Speaker 2: in the House, investors are kind of trying to, you know,

547
00:30:24,800 --> 00:30:27,560
Speaker 2: get in on this before the trend of legislation they

548
00:30:27,560 --> 00:30:30,160
Speaker 2: expect is coming to address the threat of inflation that

549
00:30:30,200 --> 00:30:31,479
Speaker 2: will be supported by the GOP.

550
00:30:31,680 --> 00:30:35,360
Speaker 3: They think, Okay, why should we brag more at the office?

551
00:30:37,520 --> 00:30:41,080
Speaker 2: Okay, you know how you do such great work?

552
00:30:41,400 --> 00:30:43,200
Speaker 3: Amy, Well, thank you, Dennise?

553
00:30:43,720 --> 00:30:46,920
Speaker 2: Do you talk but you know you don't. And especially

554
00:30:47,000 --> 00:30:50,520
Speaker 2: like the more talented someone is the worst it is

555
00:30:50,920 --> 00:30:54,240
Speaker 2: to hear them brag. Right, So the better we are,

556
00:30:54,720 --> 00:30:57,040
Speaker 2: the less we brag. But apparently, according to the Wall

557
00:30:57,040 --> 00:30:59,440
Speaker 2: Street Journal, if you do some good stuff at the office,

558
00:30:59,480 --> 00:31:02,440
Speaker 2: you better keeping a list and telling people what you've done.

559
00:31:02,880 --> 00:31:06,880
Speaker 2: It says keeping a brag book of professional achievements can

560
00:31:06,960 --> 00:31:09,719
Speaker 2: help elevate your image and protect you from getting laid off,

561
00:31:09,800 --> 00:31:12,120
Speaker 2: or protect one from getting laid off, I should say.

562
00:31:12,240 --> 00:31:15,200
Speaker 2: It can also boost one's confidence and help one find

563
00:31:15,240 --> 00:31:18,440
Speaker 2: another job if one wants or needs to. So every

564
00:31:18,440 --> 00:31:20,880
Speaker 2: time you do something great, maybe just text yourself or

565
00:31:20,920 --> 00:31:24,520
Speaker 2: email yourself and then I don't know, maybe brag a

566
00:31:24,560 --> 00:31:27,760
Speaker 2: little bit when your colleagues aren't around, but your bosses.

567
00:31:28,360 --> 00:31:30,800
Speaker 2: I don't know quite how to manage this. I'm not

568
00:31:30,880 --> 00:31:31,920
Speaker 2: a big bregger, and.

569
00:31:32,040 --> 00:31:35,200
Speaker 3: I know like going in and saying saying, didn't I

570
00:31:35,280 --> 00:31:37,960
Speaker 3: do a good job? Did you see how great I was?

571
00:31:38,000 --> 00:31:40,440
Speaker 2: Did a good job? It speaks for itself. And if

572
00:31:40,480 --> 00:31:42,400
Speaker 2: you didn't, then you do not want to talk.

573
00:31:42,560 --> 00:31:44,000
Speaker 3: Then somebody's going to be speaking to you.

574
00:31:44,240 --> 00:31:48,160
Speaker 2: Complicated. Yeah yeah, okay, well.

575
00:31:48,080 --> 00:31:50,920
Speaker 3: Maybe but just just in case, Okay, just in case,

576
00:31:50,960 --> 00:31:53,360
Speaker 3: and then just brag to yourself and we're out of time.

577
00:31:53,440 --> 00:31:56,320
Speaker 3: But let's talk about Super Bowl stuff tomorrow, like snack

578
00:31:56,360 --> 00:31:57,440
Speaker 3: food and Alvatadas.

579
00:31:58,040 --> 00:32:00,800
Speaker 2: I absolutely look forward.

580
00:32:00,560 --> 00:32:02,520
Speaker 3: To, all right, getting in your business like we do

581
00:32:02,720 --> 00:32:09,920
Speaker 3: every day with Bloomberg's Denise Pellegrini, Agent Agent. Right now,

582
00:32:10,320 --> 00:32:12,600
Speaker 3: let's say good morning too, the host of How to

583
00:32:12,720 --> 00:32:15,600
Speaker 3: Money on KFI every Sunday from noon to two. It's

584
00:32:15,680 --> 00:32:16,400
Speaker 3: Joel Larsgard.

585
00:32:16,480 --> 00:32:18,200
Speaker 1: Morning, Joel, Morning Amy.

586
00:32:18,440 --> 00:32:24,160
Speaker 3: Okay, let's talk about filing taxes, because on January twenty sixth,

587
00:32:24,360 --> 00:32:29,920
Speaker 3: the IRS started accepting tax returns, and you're saying that

588
00:32:30,080 --> 00:32:33,040
Speaker 3: refunds are going to be bigger this year and people

589
00:32:33,120 --> 00:32:34,040
Speaker 3: can get them quicker.

590
00:32:34,920 --> 00:32:37,800
Speaker 1: Well, refunds are going to be bigger, right, at least

591
00:32:37,840 --> 00:32:39,920
Speaker 1: on average. Right, that's not every single person is going

592
00:32:39,960 --> 00:32:42,080
Speaker 1: to get a bigger refund. But because of the big

593
00:32:42,120 --> 00:32:45,240
Speaker 1: beautiful bill and some of the kind of you know,

594
00:32:45,400 --> 00:32:48,760
Speaker 1: expanded salt deduction. If you bought a new car last

595
00:32:48,840 --> 00:32:50,200
Speaker 1: year and you took out a loan, you're going to

596
00:32:50,240 --> 00:32:52,120
Speaker 1: get a tax deduction for that. So there's all sorts

597
00:32:52,120 --> 00:32:54,280
Speaker 1: of like new you know, the no tax on tips

598
00:32:54,360 --> 00:32:57,080
Speaker 1: and overtime pay. There's just a bunch of new tax

599
00:32:57,200 --> 00:33:01,160
Speaker 1: policy that is likely going to lead to larger refunds

600
00:33:01,200 --> 00:33:03,360
Speaker 1: for a decent chunk of folks. And the average refund

601
00:33:03,560 --> 00:33:05,960
Speaker 1: last year was in the range of three thousand dollars,

602
00:33:06,520 --> 00:33:08,920
Speaker 1: and so this year, yeah, we might see a lot

603
00:33:09,000 --> 00:33:11,800
Speaker 1: more people, you know, in the upper three thousand dollars

604
00:33:12,040 --> 00:33:16,520
Speaker 1: range of a tax refund. And you know that this

605
00:33:16,680 --> 00:33:19,120
Speaker 1: is something that's widely debated in personal finance circles. It's

606
00:33:19,120 --> 00:33:21,840
Speaker 1: like should you or shouldn't you? You know, it's it's

607
00:33:21,880 --> 00:33:23,800
Speaker 1: a yes, it's an interest free loan to the government,

608
00:33:23,880 --> 00:33:25,720
Speaker 1: but at the same time, it's a forced method of

609
00:33:25,760 --> 00:33:26,720
Speaker 1: savings for many people.

610
00:33:27,000 --> 00:33:28,000
Speaker 2: And you can do it.

611
00:33:28,120 --> 00:33:29,960
Speaker 1: It's like the only time of year some people, a

612
00:33:30,000 --> 00:33:31,520
Speaker 1: lot of people get a big chunk of money to

613
00:33:31,600 --> 00:33:34,160
Speaker 1: do something awesome with. So, whether that's you know, paying

614
00:33:34,200 --> 00:33:37,920
Speaker 1: down credit card debt, fully funding your wroth IRA, expanding

615
00:33:37,960 --> 00:33:40,880
Speaker 1: your your efund, whatever it is, I love to see

616
00:33:40,920 --> 00:33:42,120
Speaker 1: people use that lump some to.

617
00:33:42,120 --> 00:33:42,920
Speaker 10: Do something like that with.

618
00:33:43,720 --> 00:33:46,560
Speaker 1: But you mentioned being able to get that loan earlier,

619
00:33:46,680 --> 00:33:49,760
Speaker 1: and you're right, like, there's I'm seeing the ads already

620
00:33:50,280 --> 00:33:54,680
Speaker 1: for tax tax refund advanced loans. And essentially, if you

621
00:33:54,760 --> 00:33:58,920
Speaker 1: file your taxes with one of the major services, you

622
00:33:59,360 --> 00:34:02,600
Speaker 1: can get alone. It's basically a loan on the money

623
00:34:02,680 --> 00:34:05,840
Speaker 1: that's coming your way, but hey, you know you probably

624
00:34:05,880 --> 00:34:09,320
Speaker 1: want it today instead of next week, right, And a

625
00:34:09,320 --> 00:34:11,000
Speaker 1: lot of people are gonna be like, yeah, I mean, yeah,

626
00:34:11,000 --> 00:34:12,719
Speaker 1: it'd be nice to have that money today and not

627
00:34:12,840 --> 00:34:17,040
Speaker 1: next week. But there are often fees or you get

628
00:34:17,080 --> 00:34:19,840
Speaker 1: that money put on a preloaded debit card, and so

629
00:34:19,960 --> 00:34:22,800
Speaker 1: there are issues with those tax refund advanced loans that

630
00:34:22,880 --> 00:34:24,960
Speaker 1: I just want people to stay clear of them and

631
00:34:25,120 --> 00:34:27,160
Speaker 1: just realize, hey, you know what, actually the direct deposit

632
00:34:27,239 --> 00:34:30,520
Speaker 1: from the federal government comes fairly quickly. Don't fall Don't

633
00:34:30,560 --> 00:34:32,560
Speaker 1: fall victim to those tax advance loans.

634
00:34:32,680 --> 00:34:34,560
Speaker 3: That's what I was going to say, because it seems

635
00:34:34,719 --> 00:34:40,600
Speaker 3: like the California comes Well maybe it's the other way around.

636
00:34:40,680 --> 00:34:43,520
Speaker 3: I can't remember, but either way, they come pretty quickly.

637
00:34:44,040 --> 00:34:47,080
Speaker 3: It's a matter of two or three weeks at the most,

638
00:34:47,360 --> 00:34:49,320
Speaker 3: and I'm always surprised at how quick it is. So

639
00:34:49,640 --> 00:34:52,480
Speaker 3: if you know the money's coming, just hold your horse's kids.

640
00:34:52,520 --> 00:34:53,960
Speaker 3: It's coming exactly.

641
00:34:54,080 --> 00:34:57,120
Speaker 1: And it's it reminds me of the kind of paycheck

642
00:34:57,360 --> 00:35:00,920
Speaker 1: loans that people can get instead of And there's there

643
00:35:00,960 --> 00:35:02,839
Speaker 1: are these apps out there that say oh well, why

644
00:35:03,080 --> 00:35:06,240
Speaker 1: not get paid today instead of waiting until next Friday.

645
00:35:06,640 --> 00:35:09,160
Speaker 1: And then there's like a suggested tip, and most people

646
00:35:09,200 --> 00:35:11,480
Speaker 1: feel obligated to tip the app because hey, you know,

647
00:35:11,560 --> 00:35:13,359
Speaker 1: the app's doing them a solid. It's letting them get

648
00:35:13,640 --> 00:35:16,520
Speaker 1: their paycheck more quickly. You have access to the money

649
00:35:16,520 --> 00:35:20,359
Speaker 1: they've earned immediately. But when you factor in how much

650
00:35:20,480 --> 00:35:23,880
Speaker 1: the tip costs the you know, the the actual interest

651
00:35:23,920 --> 00:35:26,400
Speaker 1: you're paying if you were to considered interest instead of

652
00:35:26,520 --> 00:35:30,959
Speaker 1: just like a tip, is astronomical. And so I really

653
00:35:31,040 --> 00:35:33,799
Speaker 1: dislike those apps significantly, and I think, hey, just wait

654
00:35:33,920 --> 00:35:37,080
Speaker 1: till Friday for payday. And the same is true for

655
00:35:37,200 --> 00:35:38,719
Speaker 1: these tax refund advance loans.

656
00:35:38,800 --> 00:35:39,319
Speaker 2: Just avoid them.

657
00:35:39,600 --> 00:35:43,320
Speaker 3: Okay, we're spending a lot of money on beauty products.

658
00:35:43,600 --> 00:35:49,680
Speaker 3: I know I invest a small fortune. But how is

659
00:35:49,760 --> 00:35:52,480
Speaker 3: this because of the what's called the lipstick effect?

660
00:35:53,120 --> 00:35:56,520
Speaker 1: Well, you and Kono both right, he's uh, he looks

661
00:35:56,600 --> 00:36:00,360
Speaker 1: he looks great today. Yeah, this is it is so interesting.

662
00:36:00,400 --> 00:36:03,520
Speaker 1: This is like a This is a way that economists

663
00:36:03,600 --> 00:36:07,920
Speaker 1: talk about when tough, When times get a little tougher economically,

664
00:36:08,440 --> 00:36:11,400
Speaker 1: people still want to be able to splurge on luxury items.

665
00:36:11,480 --> 00:36:14,160
Speaker 1: And so maybe it's not a Burke and handbag because

666
00:36:14,200 --> 00:36:16,880
Speaker 1: oh my gosh, well, clearly that's far too expensive. But

667
00:36:17,120 --> 00:36:20,360
Speaker 1: it's it's smaller luxuries that people end up splurging on

668
00:36:20,920 --> 00:36:24,319
Speaker 1: here or there, and and beauty. I don't know why

669
00:36:24,360 --> 00:36:26,280
Speaker 1: they call it the lipstick effect. I guess just because

670
00:36:26,360 --> 00:36:29,480
Speaker 1: that feels like a small luxury, right that, Oh yeah,

671
00:36:29,560 --> 00:36:32,719
Speaker 1: the twelve dollars lipstick just feels I'll grab that and

672
00:36:32,840 --> 00:36:34,759
Speaker 1: that'll you know, that's enough to kind of make me,

673
00:36:35,320 --> 00:36:38,399
Speaker 1: make me feel good and move on with my day.

674
00:36:38,920 --> 00:36:41,960
Speaker 1: And I'm I'm I have no problem with lipstick, right,

675
00:36:42,440 --> 00:36:45,800
Speaker 1: my wife wears lipstick. I don't. But whether it's like

676
00:36:46,239 --> 00:36:49,040
Speaker 1: face cream or there's so many different things that might

677
00:36:49,719 --> 00:36:53,200
Speaker 1: in a moment of weakness just be like pull out

678
00:36:53,200 --> 00:36:55,520
Speaker 1: our wallet and I've got again, no problem with you

679
00:36:55,800 --> 00:36:57,960
Speaker 1: budgeting and saying, listen, that's that's important to me. I'm

680
00:36:58,000 --> 00:37:01,759
Speaker 1: going to spend on that because that matters, especially the

681
00:37:01,840 --> 00:37:04,200
Speaker 1: ladies out there, right, that's something that typically matters more

682
00:37:04,560 --> 00:37:08,000
Speaker 1: to them than it matters to us dudes. But I

683
00:37:08,040 --> 00:37:11,640
Speaker 1: guess it just is another reason when you fall prey

684
00:37:11,760 --> 00:37:14,320
Speaker 1: to that sometimes it can feel like little dribs and

685
00:37:14,400 --> 00:37:17,000
Speaker 1: drabs of spending or like there was a study I

686
00:37:17,160 --> 00:37:22,320
Speaker 1: read about yesterday. It's essentially saying that we find ourselves

687
00:37:23,000 --> 00:37:27,560
Speaker 1: spending for emotional reasons something like three times a week, right,

688
00:37:27,760 --> 00:37:30,680
Speaker 1: and we end up regretting those emotional spends because what

689
00:37:30,840 --> 00:37:33,359
Speaker 1: happens is we're spending for an emotional reason in the moment,

690
00:37:33,719 --> 00:37:36,680
Speaker 1: and we don't have the money then to spend towards

691
00:37:36,719 --> 00:37:39,600
Speaker 1: those bigger goals, those like maybe the trip we wanted

692
00:37:39,680 --> 00:37:42,560
Speaker 1: to take or the car we wanted to buy. Because

693
00:37:42,600 --> 00:37:45,719
Speaker 1: it's a bunch of small purchases along the way, it's

694
00:37:45,760 --> 00:37:48,880
Speaker 1: like penny wise, pound foolish. And this lipstick effect is

695
00:37:48,920 --> 00:37:51,840
Speaker 1: I think, just a good example. It highlights the reality

696
00:37:51,920 --> 00:37:53,799
Speaker 1: that most of us fall prey to at one point

697
00:37:53,920 --> 00:37:55,239
Speaker 1: or another, and it's good to at least be.

698
00:37:55,239 --> 00:37:55,640
Speaker 2: Aware of it.

699
00:37:56,080 --> 00:37:58,160
Speaker 3: And when it comes to make up, a highlighter is

700
00:37:58,360 --> 00:38:05,239
Speaker 3: very important. Joll okay. Tipping fatigue steal a real thing

701
00:38:05,400 --> 00:38:07,840
Speaker 3: for people. And I can say that I agree. I

702
00:38:08,120 --> 00:38:09,280
Speaker 3: have tipping fatigue.

703
00:38:10,320 --> 00:38:13,360
Speaker 1: Yeah, I mean, I think we all do. And the

704
00:38:13,440 --> 00:38:15,319
Speaker 1: reason this is kind of on my radar right now

705
00:38:15,440 --> 00:38:17,920
Speaker 1: is that New York City has this new tipping prompt

706
00:38:18,120 --> 00:38:21,200
Speaker 1: so when you order on door Dash or Uber ride,

707
00:38:21,320 --> 00:38:23,960
Speaker 1: or something like that. There's a minimum suggested tip of

708
00:38:24,040 --> 00:38:27,520
Speaker 1: ten percent, and in some ways I'm totally fine with that,

709
00:38:27,680 --> 00:38:32,440
Speaker 1: because there's something about like, we should be generous tippers, right,

710
00:38:32,600 --> 00:38:37,000
Speaker 1: especially if I'm eitherfore avoiding the purchase altogether if you

711
00:38:37,080 --> 00:38:41,520
Speaker 1: can't tip generously, like eat in, cook your own meal,

712
00:38:41,560 --> 00:38:42,719
Speaker 1: if you can't tip the server.

713
00:38:42,960 --> 00:38:43,080
Speaker 2: Right.

714
00:38:44,000 --> 00:38:46,799
Speaker 1: But at the same time, there was an analysis by

715
00:38:46,840 --> 00:38:48,719
Speaker 1: The New York Times and it showed that the number

716
00:38:48,719 --> 00:38:52,000
Speaker 1: of retailers accepting tips has roughly doubled since twenty nineteen.

717
00:38:52,080 --> 00:38:55,120
Speaker 1: So we're just being asked for to tip in more places,

718
00:38:55,520 --> 00:38:58,239
Speaker 1: places that we never used to be asked to tip.

719
00:38:58,680 --> 00:39:02,320
Speaker 1: And the average American spends almost five hundred dollars annually

720
00:39:02,880 --> 00:39:07,239
Speaker 1: on tips, and the suggestion tip this suggested tips. I

721
00:39:07,280 --> 00:39:09,000
Speaker 1: don't know if you've noticed this. Amy are all over

722
00:39:09,120 --> 00:39:12,120
Speaker 1: the place. Like I can be at a counter service

723
00:39:12,200 --> 00:39:13,959
Speaker 1: restaurant and it's like, do you want to tip twenty

724
00:39:14,000 --> 00:39:16,040
Speaker 1: twenty five or thirty percent? And then I can be

725
00:39:16,400 --> 00:39:17,960
Speaker 1: at a sit down restaurant and it's like, do you

726
00:39:18,000 --> 00:39:20,480
Speaker 1: want to tip twelve, fifteen or eighteen percent? And I'm like,

727
00:39:21,000 --> 00:39:23,440
Speaker 1: that does not compute because at the counter service I'm

728
00:39:24,000 --> 00:39:26,799
Speaker 1: I'm personally going to tip less than I am when

729
00:39:27,040 --> 00:39:29,800
Speaker 1: someone's actually waiting on me and bringing everything to my

730
00:39:29,880 --> 00:39:33,400
Speaker 1: table and taking my order. So for for consumers, I

731
00:39:33,440 --> 00:39:35,279
Speaker 1: think what you need to know is just have an

732
00:39:35,320 --> 00:39:38,120
Speaker 1: idea of what you feel comfortable tipping ahead of time.

733
00:39:38,440 --> 00:39:41,240
Speaker 1: I think when the person turns around the iPad, oftentimes

734
00:39:41,280 --> 00:39:43,800
Speaker 1: we feel guilt and we're like, I guess, I don't know,

735
00:39:43,800 --> 00:39:44,440
Speaker 1: I got to choose one.

736
00:39:44,520 --> 00:39:47,800
Speaker 3: They're looking at you, that's right, looking at your face,

737
00:39:48,360 --> 00:39:52,319
Speaker 3: and it's annoying because they didn't do anything to earn

738
00:39:52,440 --> 00:39:52,839
Speaker 3: a tip.

739
00:39:53,560 --> 00:39:54,800
Speaker 1: Right, It's so uncommon.

740
00:39:54,840 --> 00:39:56,480
Speaker 3: You can tell the fatigue in my voice, can't you.

741
00:39:58,800 --> 00:39:59,600
Speaker 4: We're all feeling it.

742
00:39:59,640 --> 00:40:01,560
Speaker 1: And and I think it's really hard to talk about

743
00:40:01,600 --> 00:40:05,120
Speaker 1: this subject without sounding like a curmudgeon who doesn't want

744
00:40:05,160 --> 00:40:06,399
Speaker 1: to tip people for doing good work.

745
00:40:06,440 --> 00:40:07,279
Speaker 10: And that's not the case.

746
00:40:07,480 --> 00:40:09,200
Speaker 1: The case is we're just being asked to tip in

747
00:40:09,320 --> 00:40:11,960
Speaker 1: so many more places, and so we have to, like, hey,

748
00:40:12,320 --> 00:40:14,479
Speaker 1: think ahead of time when you go to the coffee shop,

749
00:40:14,640 --> 00:40:16,400
Speaker 1: how much do you feel comfortable tipping? What is it?

750
00:40:16,600 --> 00:40:18,759
Speaker 1: Is it fifty cents based on a three dollars drink?

751
00:40:18,840 --> 00:40:20,880
Speaker 1: Is it a dollar per drink? No matter what just

752
00:40:21,040 --> 00:40:23,200
Speaker 1: know what you feel comfortable tipping. And that way, I

753
00:40:23,239 --> 00:40:25,160
Speaker 1: think when you have it decided ahead of time, you

754
00:40:25,239 --> 00:40:28,080
Speaker 1: feel less pressure in the moment when the iPad gets

755
00:40:28,120 --> 00:40:31,720
Speaker 1: turned around to just quickly click something that you otherwise

756
00:40:31,719 --> 00:40:33,759
Speaker 1: don't feel like the service was actually quite worth that.

757
00:40:33,960 --> 00:40:36,160
Speaker 3: Yeah, okay, well, I'm going to go and do some

758
00:40:36,320 --> 00:40:39,080
Speaker 3: yoga or something or meditate to calm me down because

759
00:40:39,120 --> 00:40:41,239
Speaker 3: this tipping thing always gets me so riled up.

760
00:40:41,520 --> 00:40:43,279
Speaker 1: We can find out your yoga teacher is going to

761
00:40:43,320 --> 00:40:43,960
Speaker 1: ask you for a tip.

762
00:40:44,080 --> 00:40:47,440
Speaker 3: I know, right, oh god, notes all right. We can

763
00:40:47,520 --> 00:40:50,839
Speaker 3: find out more great financial advice from our friend Joel

764
00:40:50,880 --> 00:40:54,839
Speaker 3: Larsgard right here on KFI. The show is called How

765
00:40:54,960 --> 00:40:58,000
Speaker 3: to Money. It's Sundays from noon to two. Thanks Joel.

766
00:40:58,040 --> 00:40:59,799
Speaker 3: You can also follow Joel at how to Money.

767
00:40:59,840 --> 00:40:59,960
Speaker 10: Joe.

768
00:41:00,000 --> 00:41:01,600
Speaker 3: We'll have a great day, are you too?

769
00:41:01,680 --> 00:41:01,879
Speaker 10: Thanks?

770
00:41:01,920 --> 00:41:02,160
Speaker 2: Amy?

771
00:41:02,640 --> 00:41:05,239
Speaker 3: All right, and just like that, now that I'm all

772
00:41:05,280 --> 00:41:08,239
Speaker 3: wound up, wake up call is done. Handle on the

773
00:41:08,320 --> 00:41:10,920
Speaker 3: news is next. We'll talk to you tomorrow morning. This

774
00:41:11,160 --> 00:41:16,000
Speaker 3: is KFI and KOSTHD to Los Angeles, Orange County, live

775
00:41:16,080 --> 00:41:18,520
Speaker 3: from the KFI twenty four hour newsroom. I'm Amy King.

776
00:41:18,880 --> 00:41:20,680
Speaker 3: This has been your wake up call. And if you

777
00:41:20,760 --> 00:41:22,719
Speaker 3: missed any wake Up Call, you can listen anytime on

778
00:41:22,800 --> 00:41:25,520
Speaker 3: the iHeartRadio app. You've been listening to wake Up Call

779
00:41:25,640 --> 00:41:28,319
Speaker 3: with me Amy King. You can always hear wake Up

780
00:41:28,400 --> 00:41:31,240
Speaker 3: Call five to six am Monday through Friday on KFI

781
00:41:31,440 --> 00:41:35,520
Speaker 3: Am six forty and anytime on demand on the iHeartRadio

782
00:41:35,600 --> 00:41:35,839
Speaker 3: app