1
00:00:07,240 --> 00:00:10,000
Speaker 1: Doo was over fifty thousand dollars. I don't know why

2
00:00:10,000 --> 00:00:10,520
Speaker 1: you're laughing.

3
00:00:10,600 --> 00:00:12,160
Speaker 2: You're a great stock trainer.

4
00:00:11,880 --> 00:00:13,280
Speaker 1: And I'm your raptin.

5
00:00:15,880 --> 00:00:19,320
Speaker 2: Deflecting Bondi pro tip. When you have to talk stock

6
00:00:19,400 --> 00:00:21,840
Speaker 2: market gains, because you can't answer to the victims of

7
00:00:21,880 --> 00:00:24,720
Speaker 2: the world's biggest pedophile cabal, you know you've lost the narrative.

8
00:00:24,800 --> 00:00:28,960
Speaker 2: Pambondi with her two modes, screeching to Democrats and purring

9
00:00:29,360 --> 00:00:32,920
Speaker 2: to Republicans, where is the integrity? That's the big question?

10
00:00:33,280 --> 00:00:36,720
Speaker 2: Are we talking about institutional cover up? We're going to

11
00:00:36,800 --> 00:00:39,680
Speaker 2: get more into what Pambondi had to say at her

12
00:00:40,159 --> 00:00:44,800
Speaker 2: five hour testimony before the House Judiciary Committee. Another big story,

13
00:00:44,960 --> 00:00:48,279
Speaker 2: another state wants the Chicago Bears.

14
00:00:48,440 --> 00:00:50,600
Speaker 3: You'll get a Bears team, and you get a Bears team,

15
00:00:50,640 --> 00:00:51,760
Speaker 3: and you get a Bear's team.

16
00:00:51,880 --> 00:00:56,400
Speaker 2: The big story locally yesterday Meta release renderings of its

17
00:00:56,480 --> 00:01:00,960
Speaker 2: ten billion, fifteen hundred acre data center and Mike Braun

18
00:01:01,080 --> 00:01:03,800
Speaker 2: was there. He was joined by executives at the groundbreaking

19
00:01:03,920 --> 00:01:06,240
Speaker 2: and Nicki Kelly is going to join us at ten o'clock.

20
00:01:06,240 --> 00:01:08,240
Speaker 2: We're going to get in depth with her about that.

21
00:01:08,800 --> 00:01:11,440
Speaker 2: But I'm curious with all of the talk of the

22
00:01:11,440 --> 00:01:15,800
Speaker 2: sweetheart deal with the IEDC, the water issues, will it

23
00:01:15,840 --> 00:01:19,840
Speaker 2: affect utilities? Nikki, what was your biggest takeaway from the

24
00:01:19,880 --> 00:01:21,160
Speaker 2: groundbreaking yesterday?

25
00:01:21,880 --> 00:01:22,199
Speaker 1: Wow?

26
00:01:22,319 --> 00:01:25,360
Speaker 4: I mean, having been at the event, I was just

27
00:01:25,480 --> 00:01:29,280
Speaker 4: most struck by this massive package that Meta is putting

28
00:01:29,280 --> 00:01:32,399
Speaker 4: out there, I think to try to garner, you know,

29
00:01:32,480 --> 00:01:36,119
Speaker 4: public support and goodwill with the community. I think we've

30
00:01:36,160 --> 00:01:40,080
Speaker 4: seen pushback against data centers all around Indiana. So they're

31
00:01:40,160 --> 00:01:44,880
Speaker 4: trying to answer every single question they can, from water

32
00:01:45,080 --> 00:01:50,240
Speaker 4: to electricity to helping you know, work based learning opportunities.

33
00:01:50,360 --> 00:01:54,280
Speaker 4: They're just really put together this sort of well rounded

34
00:01:54,400 --> 00:01:59,840
Speaker 4: package to try to you know, present themselves as a

35
00:01:59,880 --> 00:02:03,360
Speaker 4: neighbor and not someone just you know, coming in to

36
00:02:03,680 --> 00:02:06,360
Speaker 4: take the farm land and all the resources.

37
00:02:06,640 --> 00:02:09,800
Speaker 2: Now we've been we've been told about the jobs that

38
00:02:09,840 --> 00:02:11,960
Speaker 2: are going to be created because of this, and that

39
00:02:12,080 --> 00:02:14,800
Speaker 2: is something that the Governor, Mike Brown has been hanging

40
00:02:14,840 --> 00:02:18,200
Speaker 2: his hat on. Do you believe that these jobs will

41
00:02:18,200 --> 00:02:21,640
Speaker 2: remain permanent? Is it really going to help grow the

42
00:02:21,960 --> 00:02:24,160
Speaker 2: economic state of the state.

43
00:02:25,240 --> 00:02:28,240
Speaker 4: Well, I mean it depends what you're talking about. Construction jobs,

44
00:02:28,240 --> 00:02:31,160
Speaker 4: they say, well, we'll reach four thousand at the peak

45
00:02:31,200 --> 00:02:33,680
Speaker 4: of construction. Because this is going to happen over several

46
00:02:33,720 --> 00:02:37,679
Speaker 4: phases now. In terms of full time operational jobs. Once

47
00:02:37,720 --> 00:02:40,920
Speaker 4: it's going, it's only three hundred jobs. You know, it's

48
00:02:40,960 --> 00:02:45,520
Speaker 4: not as intensive as warehousing or manufacturing in terms of

49
00:02:46,440 --> 00:02:48,639
Speaker 4: long term, you know, full time employment.

50
00:02:49,360 --> 00:02:52,080
Speaker 2: Nikki Kelly from Indiana Capital Chronicles, she'll be joining us

51
00:02:52,120 --> 00:02:55,000
Speaker 2: at ten o'clock. We'll talk more about the Leap project

52
00:02:55,160 --> 00:02:58,920
Speaker 2: and how the state is being paid money for the

53
00:02:59,000 --> 00:03:01,880
Speaker 2: detainees that ICE has been holding on too. But let's

54
00:03:01,919 --> 00:03:05,200
Speaker 2: go back to Pam Bondy. She defended the DOJ's work,

55
00:03:05,280 --> 00:03:08,400
Speaker 2: saying more than three million pages of records and one

56
00:03:08,480 --> 00:03:12,200
Speaker 2: hundred and eighty thousand images have been released and that

57
00:03:12,240 --> 00:03:17,360
Speaker 2: the mistakes around the redactions will be fixed. We have

58
00:03:17,600 --> 00:03:22,799
Speaker 2: never had an administration that has come out or maneuvered

59
00:03:23,200 --> 00:03:25,040
Speaker 2: out of a scandal successfully.

60
00:03:25,080 --> 00:03:28,880
Speaker 3: This is Pam Bondy's testimony yesterday in front of Congress.

61
00:03:28,919 --> 00:03:30,880
Speaker 5: Was an absolute disaster.

62
00:03:31,040 --> 00:03:32,919
Speaker 3: And we talked about this, and I remember filling in

63
00:03:33,040 --> 00:03:36,080
Speaker 3: during the twenty twenty four election, and you know, Trump

64
00:03:36,200 --> 00:03:37,720
Speaker 3: was building his avengers.

65
00:03:37,760 --> 00:03:39,560
Speaker 5: He had Marco Rubio and JD.

66
00:03:39,720 --> 00:03:42,800
Speaker 3: Vance and Elon Musk and Rfk Junior and Tulsea Gabbard

67
00:03:42,800 --> 00:03:45,520
Speaker 3: and Cash Mattel and Pam Bondi. And I remember specifically

68
00:03:45,520 --> 00:03:48,160
Speaker 3: saying at the time, you know, while these people are

69
00:03:48,200 --> 00:03:50,880
Speaker 3: really strong in certain areas, there's something off about a

70
00:03:50,920 --> 00:03:53,400
Speaker 3: lot of them. And what Trump kind of assembled here

71
00:03:53,800 --> 00:03:56,960
Speaker 3: was this island of misfit toys. And you know, when

72
00:03:56,960 --> 00:04:00,600
Speaker 3: he won the presidency, I said, he is this mandate

73
00:04:00,680 --> 00:04:02,800
Speaker 3: is to these people is gonna be moved fast and

74
00:04:02,800 --> 00:04:05,920
Speaker 3: break stuff. And that's exactly what they've done. But when

75
00:04:05,960 --> 00:04:08,720
Speaker 3: you do that, things are gonna get messy, and things

76
00:04:08,760 --> 00:04:11,240
Speaker 3: are gonna get sloppy, and mistakes are gonna get made.

77
00:04:11,240 --> 00:04:14,280
Speaker 3: And it's how you manage and handle that mistakes that's

78
00:04:14,320 --> 00:04:17,360
Speaker 3: gonna determine your future. And so far, and this isn't

79
00:04:17,440 --> 00:04:21,000
Speaker 3: just one mistake from Pambondi. We've seen multiple mistakes from

80
00:04:21,040 --> 00:04:23,599
Speaker 3: her since she's come into that position. But it's gotten

81
00:04:23,640 --> 00:04:25,400
Speaker 3: to the point right now that Trump has got to

82
00:04:25,440 --> 00:04:28,000
Speaker 3: do something because Bondi was a disaster yesterday.

83
00:04:28,080 --> 00:04:30,760
Speaker 2: So let's talk about some of those multiple mistakes. You're

84
00:04:30,760 --> 00:04:35,600
Speaker 2: referencing the infamous influencers with the white binders that were

85
00:04:35,640 --> 00:04:36,839
Speaker 2: showing off at the White House.

86
00:04:36,880 --> 00:04:38,880
Speaker 3: Well, the biggest mistakes she made and we talked about

87
00:04:38,880 --> 00:04:42,480
Speaker 3: this yesterday, was the fact that she over promised and underdelivered.

88
00:04:42,560 --> 00:04:45,360
Speaker 3: During the campaign, she talked about how day one, those

89
00:04:45,440 --> 00:04:47,720
Speaker 3: Epstein files are gonna be on my desk and I'm

90
00:04:47,720 --> 00:04:51,159
Speaker 3: gonna release them all. Yeah, and then nothing came out.

91
00:04:51,240 --> 00:04:54,640
Speaker 3: And then she had all the conservative influencers, including libs

92
00:04:54,640 --> 00:04:57,000
Speaker 3: of TikTok, and they all came to the White House

93
00:04:57,040 --> 00:04:59,480
Speaker 3: and they all got their binders with what was supposed

94
00:04:59,480 --> 00:05:03,000
Speaker 3: to be about the Epstein files. And it reminded me

95
00:05:03,080 --> 00:05:07,120
Speaker 3: of that Internet meme, I hope you're ready for nothing,

96
00:05:07,480 --> 00:05:10,839
Speaker 3: because there was nothing in those binders. And every step

97
00:05:10,880 --> 00:05:14,320
Speaker 3: of the way during these you know, file release process

98
00:05:14,360 --> 00:05:16,440
Speaker 3: that we've been in through right now, it seems like

99
00:05:16,480 --> 00:05:19,360
Speaker 3: the Department of Justice just keeps making mistake after mistake

100
00:05:19,440 --> 00:05:21,240
Speaker 3: after mistake. And look, I get that, and there are

101
00:05:21,240 --> 00:05:23,240
Speaker 3: ways that you can manage mistakes and come back from

102
00:05:23,240 --> 00:05:23,920
Speaker 3: those mistakes.

103
00:05:24,080 --> 00:05:25,920
Speaker 5: But the way she acted.

104
00:05:25,960 --> 00:05:28,360
Speaker 3: In front, I mean, and the other bad part about

105
00:05:28,360 --> 00:05:32,040
Speaker 3: this too is when the lights are the brightest, that's

106
00:05:32,080 --> 00:05:36,360
Speaker 3: when she looks the most ridiculous. She's the lebron James

107
00:05:36,600 --> 00:05:39,600
Speaker 3: of Cabinet secretaries. You know, there's twenty seconds left in

108
00:05:39,640 --> 00:05:41,560
Speaker 3: the game. You're down by seven, you know, one point,

109
00:05:41,640 --> 00:05:43,960
Speaker 3: and it's Game six of the NBA Finals, and Lebron

110
00:05:44,040 --> 00:05:46,880
Speaker 3: James takes the shot and he totally misses it. Every

111
00:05:46,880 --> 00:05:49,360
Speaker 3: time those lights are bright and shining on Pam Bondy,

112
00:05:49,560 --> 00:05:50,760
Speaker 3: she totally misses it.

113
00:05:50,839 --> 00:05:55,320
Speaker 2: She repeatedly defended the department's transparency. She insisted the mistakes

114
00:05:55,320 --> 00:05:58,440
Speaker 2: would be corrected if lawmakers pointed them out. She also

115
00:05:58,520 --> 00:06:04,000
Speaker 2: repeatedly defended Donald Trump and his record, and she, I

116
00:06:04,040 --> 00:06:08,520
Speaker 2: don't know, there's nothing she was deflecting. That's what it was.

117
00:06:08,600 --> 00:06:11,480
Speaker 2: When they were asking the tough questions, she went to,

118
00:06:11,600 --> 00:06:15,360
Speaker 2: how the DOO is over fifty thousand dollars, the.

119
00:06:15,360 --> 00:06:18,120
Speaker 1: Dow is over fifty thousand dollars. I don't know why

120
00:06:18,120 --> 00:06:21,000
Speaker 1: you're laughing. You're a great stock trader. As I hear Raskin.

121
00:06:21,480 --> 00:06:26,159
Speaker 1: The Dow is over fifty thousand right now, the SNP

122
00:06:26,360 --> 00:06:32,839
Speaker 1: at almost seven thousand, and the nasdaqs smashing records. Americans

123
00:06:32,920 --> 00:06:37,400
Speaker 1: four oh one k's and retirement savings are booming. That's

124
00:06:37,600 --> 00:06:40,480
Speaker 1: what we should be talking about. We should be talking

125
00:06:40,520 --> 00:06:44,560
Speaker 1: about making Americans safe. We should be talking about what

126
00:06:44,600 --> 00:06:46,760
Speaker 1: does DAL have to do with anything? That's what They

127
00:06:46,880 --> 00:06:49,080
Speaker 1: just asked, are you kidding.

128
00:06:49,160 --> 00:06:52,440
Speaker 5: Mister Jordan, Mister Jordan, commedy will be in order.

129
00:06:52,680 --> 00:06:56,280
Speaker 2: That's what this is all about, making Americans safe. And

130
00:06:56,320 --> 00:07:01,520
Speaker 2: she's completely missing the point. It does highlight the ongoing

131
00:07:01,520 --> 00:07:05,520
Speaker 2: political tension over the DOJ and their lack of transparency.

132
00:07:05,560 --> 00:07:12,800
Speaker 2: Pam Bondy, she is smart, she's pretty. She is obstructing justice.

133
00:07:12,960 --> 00:07:14,680
Speaker 3: Yeah, And I think what she was trying to do

134
00:07:14,720 --> 00:07:16,680
Speaker 3: here it seemed like she was trying to be a

135
00:07:16,680 --> 00:07:19,000
Speaker 3: little bit like Caroline Leavitt, the Press secretary for the

136
00:07:19,040 --> 00:07:22,280
Speaker 3: White House, who, by the way, is spectacular. Caroline Levitt is,

137
00:07:22,440 --> 00:07:24,840
Speaker 3: you know, could teach a master class in how to

138
00:07:24,960 --> 00:07:28,760
Speaker 3: debate and how to handle questions from adversaries like the

139
00:07:28,800 --> 00:07:33,280
Speaker 3: press in a professional, you know, exemplary manner. Caroline Levin's

140
00:07:33,320 --> 00:07:35,400
Speaker 3: fantastic at it, and she does it every single day

141
00:07:35,400 --> 00:07:39,200
Speaker 3: in those press press briefings. Pam Bondi is not Caroline Levitt,

142
00:07:39,240 --> 00:07:41,120
Speaker 3: and I think she tried to channel a little bit

143
00:07:41,160 --> 00:07:45,280
Speaker 3: what Caroline Levitt does here and she just came across

144
00:07:45,400 --> 00:07:48,080
Speaker 3: as looking silly. And this is what's so frustrating. And

145
00:07:48,120 --> 00:07:50,840
Speaker 3: I've been talking about this a lot, and I hate this,

146
00:07:51,200 --> 00:07:53,520
Speaker 3: but it's the honest truth, and everybody you know needs

147
00:07:53,560 --> 00:07:54,680
Speaker 3: to brace themselves for it.

148
00:07:54,880 --> 00:07:57,200
Speaker 5: We're not going to see justice for these Epstein victims.

149
00:07:57,240 --> 00:07:58,240
Speaker 5: I don't see.

150
00:07:58,000 --> 00:08:01,840
Speaker 3: Any world where people are going to jail because of this,

151
00:08:01,880 --> 00:08:04,640
Speaker 3: because there's so much obstruction, because there's so many powerful

152
00:08:04,640 --> 00:08:07,160
Speaker 3: people that don't want this out, and because every bit

153
00:08:07,160 --> 00:08:10,920
Speaker 3: of the evidence right now is very circumstantial, Very little

154
00:08:10,920 --> 00:08:12,280
Speaker 3: of it would be able to be used in a

155
00:08:12,360 --> 00:08:14,520
Speaker 3: court of law. Oh and by the way, statute of

156
00:08:14,560 --> 00:08:17,200
Speaker 3: limitations has expired for a lot of these crimes. So

157
00:08:17,400 --> 00:08:19,800
Speaker 3: we're not gonna get this justice that we want. We're

158
00:08:19,840 --> 00:08:21,640
Speaker 3: not going to see people in jail because of this,

159
00:08:21,880 --> 00:08:26,640
Speaker 3: which leaves us left with the truth and transparency. That's

160
00:08:26,680 --> 00:08:30,040
Speaker 3: really the only justice or the only clarity that we're

161
00:08:30,080 --> 00:08:31,600
Speaker 3: going to get from this. And I think this is

162
00:08:31,720 --> 00:08:34,840
Speaker 3: why people are so upset. We just want to know

163
00:08:34,960 --> 00:08:37,959
Speaker 3: what happened, and if we have to publicly shame certain

164
00:08:38,000 --> 00:08:40,559
Speaker 3: individuals because we know that there's not enough there to

165
00:08:40,600 --> 00:08:42,920
Speaker 3: prosecute them, then that's what we're gonna do. But Pam

166
00:08:42,960 --> 00:08:45,880
Speaker 3: Bondi keeps fighting it and throwing off these red herrings

167
00:08:45,880 --> 00:08:48,520
Speaker 3: like you shouldn't be asking questions about Epstein because the

168
00:08:48,600 --> 00:08:50,280
Speaker 3: Dow is at an all time record high.

169
00:08:50,320 --> 00:08:52,520
Speaker 5: She sounded like a child. She sounded like.

170
00:08:52,480 --> 00:08:56,360
Speaker 3: A spoiled fourteen year old brat stamping her feet on

171
00:08:56,400 --> 00:08:59,040
Speaker 3: the ground because she's trying to argue that she shouldn't

172
00:08:59,080 --> 00:09:00,400
Speaker 3: get grounded by her pain parents.

173
00:09:00,679 --> 00:09:03,920
Speaker 2: She said at one point the other day, the institutions

174
00:09:03,960 --> 00:09:06,800
Speaker 2: would fall if we had the full truth and transparency.

175
00:09:07,440 --> 00:09:11,679
Speaker 2: What are the institutions now If they're propping up this

176
00:09:12,280 --> 00:09:16,439
Speaker 2: pedophile cabal that we've had in place, that's okay, That

177
00:09:16,520 --> 00:09:20,520
Speaker 2: institution should fall. Democrats have been saying that they're pursuing justice,

178
00:09:21,240 --> 00:09:24,920
Speaker 2: and that is fraudulent because they didn't pursue anything when

179
00:09:24,960 --> 00:09:27,160
Speaker 2: Biden was in office. Some people are saying this is

180
00:09:27,200 --> 00:09:28,040
Speaker 2: political theater.

181
00:09:28,440 --> 00:09:28,880
Speaker 5: I don't know.

182
00:09:28,960 --> 00:09:32,080
Speaker 2: I think these people actually hate each other. And that's

183
00:09:32,520 --> 00:09:34,839
Speaker 2: even worse because that shows you they're not going to

184
00:09:34,880 --> 00:09:36,200
Speaker 2: get anything done together.

185
00:09:36,360 --> 00:09:38,520
Speaker 3: Yeah, the Democrats look like fools for this as well,

186
00:09:38,559 --> 00:09:40,440
Speaker 3: by trying to turn this into all of it. You know,

187
00:09:40,440 --> 00:09:43,199
Speaker 3: they're doing a lot of chest puffing. And we want

188
00:09:43,240 --> 00:09:47,080
Speaker 3: the truth now that Trump's in office. When Biden was office, no, no, no,

189
00:09:47,120 --> 00:09:47,960
Speaker 3: we didn't want the truth at all.

190
00:09:48,040 --> 00:09:48,320
Speaker 2: In Cary.

191
00:09:48,440 --> 00:09:49,320
Speaker 5: We don't want to talk about this.

192
00:09:49,400 --> 00:09:52,120
Speaker 3: And by the way, when Biden was office, Democrats, Democrats

193
00:09:52,160 --> 00:09:54,640
Speaker 3: had control of both houses of Congress and could have

194
00:09:54,760 --> 00:09:57,440
Speaker 3: released any of these documents that they wanted. And now

195
00:09:57,480 --> 00:09:59,839
Speaker 3: they're there slamming their fist on the table at the

196
00:10:00,000 --> 00:10:03,480
Speaker 3: he's hearing saying we want transparency, when you had all

197
00:10:03,520 --> 00:10:06,240
Speaker 3: the opportunity in the world to do transparency four years ago.

198
00:10:06,400 --> 00:10:10,120
Speaker 2: So this increased polarization. It's not good for a United country.

199
00:10:10,160 --> 00:10:13,120
Speaker 2: And here is Pam Bondy going up against Nadler.

200
00:10:14,040 --> 00:10:17,240
Speaker 6: Have just so, I really have just one question for you.

201
00:10:17,800 --> 00:10:21,120
Speaker 6: How many of Epstein's co conspirators have you indicted? How

202
00:10:21,120 --> 00:10:24,359
Speaker 6: many perpetraders are you even investigating?

203
00:10:27,240 --> 00:10:31,200
Speaker 5: First you showed it, I find it. How many have you?

204
00:10:31,559 --> 00:10:35,120
Speaker 1: Excuse me, I'm going to answer the question, answer my question.

205
00:10:35,440 --> 00:10:36,240
Speaker 2: I'm going to answer the.

206
00:10:36,280 --> 00:10:38,120
Speaker 1: Question the way I want to answer the question.

207
00:10:38,920 --> 00:10:42,160
Speaker 5: The question. I'm not going to get in the gutter

208
00:10:42,200 --> 00:10:42,800
Speaker 5: with these people.

209
00:10:42,800 --> 00:10:44,560
Speaker 1: I'm going to answer the question, how.

210
00:10:44,440 --> 00:10:45,360
Speaker 5: Many of you invited?

211
00:10:45,720 --> 00:10:45,960
Speaker 1: Again?

212
00:10:46,000 --> 00:10:47,520
Speaker 2: The time below time?

213
00:10:47,720 --> 00:10:50,600
Speaker 5: It's time, Belo. I think it's very time. I think

214
00:10:50,600 --> 00:10:52,199
Speaker 5: it's very interesting.

215
00:10:52,920 --> 00:10:56,280
Speaker 1: Talk about the indicted. The President said they have guided

216
00:10:56,320 --> 00:11:02,640
Speaker 1: them to stop the Hey, here we go time the

217
00:11:02,679 --> 00:11:04,360
Speaker 1: long time New York.

218
00:11:04,840 --> 00:11:06,680
Speaker 5: We will give you a few more seconds. We will

219
00:11:06,679 --> 00:11:06,960
Speaker 5: do that.

220
00:11:07,080 --> 00:11:09,920
Speaker 7: But when you ask the question with the skin says

221
00:11:10,040 --> 00:11:12,160
Speaker 7: you may not like the answer, but she gets.

222
00:11:12,000 --> 00:11:16,440
Speaker 5: To question, was how many of they don't like the answer? Chairman?

223
00:11:17,200 --> 00:11:18,240
Speaker 2: Because it's honest?

224
00:11:18,880 --> 00:11:22,120
Speaker 1: So he asked a four question restore.

225
00:11:25,559 --> 00:11:27,120
Speaker 4: You can let her filll abuster all day long, but

226
00:11:27,160 --> 00:11:30,480
Speaker 4: not on our watch, not on our time, no way.

227
00:11:30,920 --> 00:11:33,520
Speaker 5: And I told you about that Attorney General before you start.

228
00:11:33,600 --> 00:11:35,960
Speaker 5: You don't tell me, no, I tell you because you

229
00:11:36,000 --> 00:11:37,479
Speaker 5: saw what you did in the Senate.

230
00:11:37,360 --> 00:11:40,040
Speaker 2: Lawyer not even a lawyer.

231
00:11:40,320 --> 00:11:40,920
Speaker 5: Oh gosh.

232
00:11:41,160 --> 00:11:44,440
Speaker 2: So when will the remaining documents be released? Does she

233
00:11:44,520 --> 00:11:47,680
Speaker 2: agree with Cash Betel and Dan Bongino that Epstein is dead?

234
00:11:48,440 --> 00:11:51,480
Speaker 2: And why did she bring the influencers to the White House?

235
00:11:51,840 --> 00:11:54,760
Speaker 2: Why did she appear on Fox News a thousand times

236
00:11:54,800 --> 00:11:57,520
Speaker 2: talking about we're going to hold these people accountable and

237
00:11:57,640 --> 00:12:00,600
Speaker 2: we're all about the victims, and then not release the

238
00:12:00,640 --> 00:12:01,160
Speaker 2: five My.

239
00:12:01,120 --> 00:12:03,320
Speaker 3: Favorite part about that clip we just heard was Democrat

240
00:12:03,400 --> 00:12:07,640
Speaker 3: Jerry Nadler asking Pam Bondy, you know how many different

241
00:12:07,679 --> 00:12:10,720
Speaker 3: people are they investigating and planning on indicting? In part

242
00:12:10,720 --> 00:12:13,400
Speaker 3: of this because I remember years ago when he did

243
00:12:13,440 --> 00:12:16,839
Speaker 3: the same thing to Biden's Department of Justice. Had Garrett

244
00:12:16,880 --> 00:12:20,280
Speaker 3: Merrick Garland. Do you remember when Oh no, that's right.

245
00:12:20,360 --> 00:12:23,160
Speaker 3: The Democrats didn't ask any questions of Merrick Garland when

246
00:12:23,400 --> 00:12:25,120
Speaker 3: Biden was in office about who they're going to be

247
00:12:25,160 --> 00:12:26,360
Speaker 3: indicting with the Epstein trial.

248
00:12:26,520 --> 00:12:26,960
Speaker 5: But all of a.

249
00:12:26,960 --> 00:12:29,959
Speaker 3: Sudden, Republicans are in office and Democrats get tough.

250
00:12:30,120 --> 00:12:31,800
Speaker 5: We're going to be tough on this. I'm gonna ask

251
00:12:31,880 --> 00:12:32,640
Speaker 5: you tough questions.

252
00:12:32,679 --> 00:12:42,199
Speaker 2: Pam Bondy, you're listening to ninety three WIBC. Actors are

253
00:12:42,200 --> 00:12:45,720
Speaker 2: cooked and stuntmen are now going to be obsolete. There

254
00:12:45,760 --> 00:12:48,800
Speaker 2: was a video that was released yesterday and it looked

255
00:12:49,040 --> 00:12:53,040
Speaker 2: so real it was truly scary. It was created with

256
00:12:53,280 --> 00:12:56,079
Speaker 2: Sea Dance, which is now a cutting edge AI video

257
00:12:56,160 --> 00:12:59,480
Speaker 2: generation model and platform. And what you can do is

258
00:12:59,520 --> 00:13:02,520
Speaker 2: you can type been a prompt via text and then

259
00:13:02,720 --> 00:13:06,079
Speaker 2: upload an image and it will generate a video that

260
00:13:06,120 --> 00:13:10,160
Speaker 2: matches the description. Now, the one that I saw featured

261
00:13:10,200 --> 00:13:14,959
Speaker 2: the likeness of Brad Pitt and Tom Cruise and they

262
00:13:14,960 --> 00:13:17,880
Speaker 2: had a fight scene and were they talking about were

263
00:13:17,880 --> 00:13:19,840
Speaker 2: they talking about Epstein files? I think that's what they

264
00:13:19,840 --> 00:13:20,440
Speaker 2: were talking about.

265
00:13:20,520 --> 00:13:21,200
Speaker 5: Yeah, it was.

266
00:13:21,440 --> 00:13:24,199
Speaker 3: And if you spend any time on social media yesterday,

267
00:13:24,240 --> 00:13:26,920
Speaker 3: you probably saw this clip because it absolutely blew up

268
00:13:26,920 --> 00:13:30,400
Speaker 3: and was trending everywhere.

269
00:13:31,160 --> 00:13:36,080
Speaker 5: You killed Jeffrey Epstein, you animal, he was a.

270
00:13:36,000 --> 00:13:40,079
Speaker 8: Good man, he knew too much about our Russia operations.

271
00:13:40,480 --> 00:13:42,520
Speaker 5: He had to die and now you die too.

272
00:13:44,760 --> 00:13:46,520
Speaker 2: And the thing about this now, I didn't think the

273
00:13:46,600 --> 00:13:47,960
Speaker 2: voices matched very well.

274
00:13:48,160 --> 00:13:51,160
Speaker 3: That was your one complained about Brad Pitt. Sounded like

275
00:13:51,200 --> 00:13:53,360
Speaker 3: Brad Pitt. The second voice you heard was supposed to

276
00:13:53,360 --> 00:13:55,840
Speaker 3: be Tom Cruise, and I agree, didn't quite sound like

277
00:13:55,880 --> 00:13:57,920
Speaker 3: Tom Cruise. But this this was and it seems like

278
00:13:57,960 --> 00:14:01,000
Speaker 3: every week that we talk about another AI video that

279
00:14:01,200 --> 00:14:04,080
Speaker 3: was you know, is incredible and shocking because you can't

280
00:14:04,120 --> 00:14:06,920
Speaker 3: believe how real it looks. And this clip was only

281
00:14:06,960 --> 00:14:09,480
Speaker 3: about fifteen seconds long. It was very short, and they're

282
00:14:09,520 --> 00:14:12,160
Speaker 3: fighting on this rooftop and you know, they got bloody faces.

283
00:14:12,200 --> 00:14:15,080
Speaker 3: It's a classic movie fist fight that's going on between

284
00:14:15,080 --> 00:14:19,040
Speaker 3: these two. But it just absolutely shocked everybody on social

285
00:14:19,120 --> 00:14:23,720
Speaker 3: media yesterday because because of how realistic it was. And

286
00:14:23,760 --> 00:14:26,440
Speaker 3: we've already been conditioned. Look, we've seen the II videos

287
00:14:26,440 --> 00:14:28,360
Speaker 3: for a good year or two now and we're shocked

288
00:14:28,360 --> 00:14:30,240
Speaker 3: by them, or we're like, wow, that looks real. But

289
00:14:30,280 --> 00:14:34,320
Speaker 3: you saw this. It looked cinema quality. It was letterbox

290
00:14:34,440 --> 00:14:37,800
Speaker 3: like you watch in movie theaters. It was high definition.

291
00:14:37,880 --> 00:14:41,840
Speaker 3: The visuals were crisp and clear, the audio was clear.

292
00:14:42,200 --> 00:14:45,440
Speaker 3: This was something that we hadn't seen before.

293
00:14:45,600 --> 00:14:46,520
Speaker 2: It was next level.

294
00:14:46,600 --> 00:14:49,440
Speaker 5: It was next level, and it shocked a lot of people.

295
00:14:49,600 --> 00:14:51,880
Speaker 2: So Sea Dance is part of this next wave of

296
00:14:52,280 --> 00:14:57,520
Speaker 2: AI video tech and it let's users make professional looking

297
00:14:57,640 --> 00:15:03,280
Speaker 2: videos almost instantly with the single prompts. It's bypassing traditional film,

298
00:15:03,680 --> 00:15:08,400
Speaker 2: bypassing traditional editing. So this is going to put Hollywood

299
00:15:08,440 --> 00:15:11,920
Speaker 2: on edge as they already are, and puts these actors

300
00:15:12,200 --> 00:15:14,440
Speaker 2: in their proper place in society that they will just

301
00:15:14,560 --> 00:15:18,840
Speaker 2: become models for future AI generation. People are questioning, well,

302
00:15:18,880 --> 00:15:20,680
Speaker 2: can you make a full length film with this?

303
00:15:21,240 --> 00:15:24,840
Speaker 5: Yeah, may yeah you can. Maybe not today, but.

304
00:15:24,880 --> 00:15:27,600
Speaker 3: Two weeks ago we couldn't make this fifteen second clip.

305
00:15:27,680 --> 00:15:30,200
Speaker 2: Yes, you would have had Brad Pitt with three arms.

306
00:15:30,280 --> 00:15:35,320
Speaker 3: Or yeah, there's that classic six fingers AI generated picture

307
00:15:35,360 --> 00:15:38,120
Speaker 3: that came from Minnesota and the ice operation up there

308
00:15:38,120 --> 00:15:39,239
Speaker 3: where one of the guys.

309
00:15:38,960 --> 00:15:41,080
Speaker 5: Didn't have a head it was obvious.

310
00:15:41,240 --> 00:15:43,720
Speaker 3: This wasn't that two weeks from now they'll be able

311
00:15:43,720 --> 00:15:45,960
Speaker 3: to do a sixty second version, and two months from

312
00:15:46,040 --> 00:15:48,640
Speaker 3: now they'll be able to do thirty minutes, and by

313
00:15:48,680 --> 00:15:50,640
Speaker 3: the end of the year they'll probably be able to

314
00:15:50,680 --> 00:15:53,080
Speaker 3: fully produce an entire two hour movie for this. One

315
00:15:53,120 --> 00:15:55,520
Speaker 3: of the reasons why this started trending so much is

316
00:15:55,520 --> 00:15:58,920
Speaker 3: that the co writer for the movie Deadpool and Wolverine,

317
00:15:58,960 --> 00:16:02,600
Speaker 3: his name was rhet Ree Rett Reese tough to say,

318
00:16:02,880 --> 00:16:06,560
Speaker 3: and he tweeted out and simply just said, it's likely

319
00:16:06,640 --> 00:16:09,720
Speaker 3: over for us. And you and I have talked about

320
00:16:09,760 --> 00:16:14,000
Speaker 3: this a lot, and I understand the trepidation around AI,

321
00:16:14,200 --> 00:16:16,960
Speaker 3: and I see the reactions that this generates, and it's

322
00:16:17,040 --> 00:16:20,600
Speaker 3: usually people saying, you know, using phrases like AI slop

323
00:16:20,640 --> 00:16:23,200
Speaker 3: and I'm never gonna use AI, and you know, we've

324
00:16:23,240 --> 00:16:26,560
Speaker 3: got to fight this for everything. It's happening, whether you

325
00:16:26,760 --> 00:16:29,200
Speaker 3: like it or not. And from my perspective, I see

326
00:16:29,240 --> 00:16:33,680
Speaker 3: a lot of similarities potentially coming between what we're seeing

327
00:16:33,680 --> 00:16:36,400
Speaker 3: with AI and what I experienced working in media, as

328
00:16:36,440 --> 00:16:38,480
Speaker 3: I worked for a media company that owned a ton

329
00:16:38,520 --> 00:16:40,720
Speaker 3: of newspapers at the time, and so you could equate

330
00:16:40,760 --> 00:16:43,800
Speaker 3: this in two thousand and six, that was peak newspaper.

331
00:16:44,000 --> 00:16:46,560
Speaker 3: They saw more revenue and more profits than the newspaper

332
00:16:46,600 --> 00:16:48,760
Speaker 3: industry had ever seen. In two thousand and six, they

333
00:16:48,760 --> 00:16:52,000
Speaker 3: may generated fifty billion dollars worth of revenue in this country,

334
00:16:52,240 --> 00:16:55,440
Speaker 3: and four years later, in twenty ten, that was cut

335
00:16:55,520 --> 00:17:00,840
Speaker 3: in nearly half. That is how quickly the newspaper industry

336
00:17:01,040 --> 00:17:06,400
Speaker 3: absolutely cratered. And I see AI doing that for many,

337
00:17:06,880 --> 00:17:09,800
Speaker 3: many industries. And it's going to come, and it's going

338
00:17:09,840 --> 00:17:11,040
Speaker 3: to come fast.

339
00:17:11,080 --> 00:17:13,800
Speaker 2: Well you say it's going to come, No, it's already here.

340
00:17:14,200 --> 00:17:17,000
Speaker 2: One thing that this makes me think is that this

341
00:17:17,040 --> 00:17:21,680
Speaker 2: will give rise to theater and live orchestra performances. People

342
00:17:21,720 --> 00:17:24,919
Speaker 2: will be going to see Humans instead of going to

343
00:17:24,920 --> 00:17:25,560
Speaker 2: the movie theater.

344
00:17:25,680 --> 00:17:25,840
Speaker 5: Yeah.

345
00:17:25,880 --> 00:17:28,720
Speaker 3: Maybe all of a sudden, Broadway plays become more valuable

346
00:17:28,760 --> 00:17:31,040
Speaker 3: to the consumer's mind because we can see that that's

347
00:17:31,040 --> 00:17:33,119
Speaker 3: a real person standing on stage. And I know the

348
00:17:33,720 --> 00:17:36,720
Speaker 3: that AI is here. But for most average everyday people,

349
00:17:36,920 --> 00:17:39,720
Speaker 3: you're going into your job today, it's highly likely that

350
00:17:39,800 --> 00:17:42,240
Speaker 3: AI hasn't really impacted your day to day life.

351
00:17:42,320 --> 00:17:42,520
Speaker 5: Yet.

352
00:17:42,520 --> 00:17:45,240
Speaker 3: These are kind of toys, These AI toys, they're just

353
00:17:45,280 --> 00:17:47,800
Speaker 3: toys right now. Oh, we can create this funny fifteen

354
00:17:47,840 --> 00:17:50,040
Speaker 3: second clip of Brad Pitt and Tom Cruise having a

355
00:17:50,080 --> 00:17:51,880
Speaker 3: fistfight and talking about Jeffrey Epstein.

356
00:17:51,880 --> 00:17:54,520
Speaker 5: You know that's silly, Okay, that's how it starts.

357
00:17:54,600 --> 00:17:56,919
Speaker 3: The silliness is going to wear off really quickly, and

358
00:17:56,960 --> 00:17:59,040
Speaker 3: it's going to become serious, and the jobs that are

359
00:17:59,080 --> 00:18:01,760
Speaker 3: going to be replaced are likely going to be massive.

360
00:18:02,080 --> 00:18:04,720
Speaker 3: And we've already started to see that just a little

361
00:18:04,720 --> 00:18:06,800
Speaker 3: bit in far as far as the jobs picture go.

362
00:18:07,320 --> 00:18:10,879
Speaker 3: But if the advancements that we're seeing in this video

363
00:18:11,000 --> 00:18:15,000
Speaker 3: creation happen this quickly, and we see those sorts of

364
00:18:15,040 --> 00:18:18,400
Speaker 3: advancements happen that quickly in the jobs industry and all

365
00:18:18,440 --> 00:18:20,640
Speaker 3: these industries where AI is going to impact it, it's

366
00:18:20,880 --> 00:18:23,280
Speaker 3: it's going to give everybody whiplash, and it's going to happen.

367
00:18:23,119 --> 00:18:25,320
Speaker 2: Very Everything that I've seen is people say, well, I

368
00:18:25,440 --> 00:18:27,720
Speaker 2: used it back in twenty twenty three, I tried it

369
00:18:27,760 --> 00:18:31,479
Speaker 2: in twenty twenty four. No, what is happening now is

370
00:18:31,520 --> 00:18:35,720
Speaker 2: completely different from even a month ago. Because AI is

371
00:18:35,760 --> 00:18:40,879
Speaker 2: now aiing itself the latest version of chat GPT five

372
00:18:40,920 --> 00:18:45,520
Speaker 2: point zero with the codec. It's it's increasing its own

373
00:18:45,600 --> 00:18:49,960
Speaker 2: abilities by itself. No longer is it being prompted. It's

374
00:18:50,119 --> 00:18:53,720
Speaker 2: just doing it automatically. You can tell AI I want

375
00:18:53,760 --> 00:18:55,760
Speaker 2: an app and this is what I wanted to do.

376
00:18:56,240 --> 00:18:58,960
Speaker 2: It can what used to take a very long time

377
00:18:59,119 --> 00:19:04,480
Speaker 2: now only take minutes. And it's checking itself for judgment

378
00:19:04,600 --> 00:19:08,560
Speaker 2: and taste without a human prompter. It's saying, eah, this

379
00:19:08,600 --> 00:19:11,240
Speaker 2: can be better before I let you see my final product.

380
00:19:11,280 --> 00:19:13,120
Speaker 5: And I think something you said was really important.

381
00:19:13,160 --> 00:19:15,520
Speaker 3: Yeah, okay, I tried chat GPT out last year and

382
00:19:15,560 --> 00:19:18,119
Speaker 3: it really didn't do anything. Yeah, you couldn't make this

383
00:19:18,200 --> 00:19:20,200
Speaker 3: Tom Cruise Brad Pitt video a week ago.

384
00:19:20,480 --> 00:19:23,080
Speaker 5: So if you were using AI a week ago, it's

385
00:19:23,119 --> 00:19:25,120
Speaker 5: doing stuff today that it couldn't do a week ago.

386
00:19:25,320 --> 00:19:28,080
Speaker 2: Catch up. You're listening to ninety three WIBC.

387
00:19:34,040 --> 00:19:37,879
Speaker 8: We don't use autopens, there's no autopend.

388
00:19:40,320 --> 00:19:44,160
Speaker 2: He says he's doing it for national security and trying

389
00:19:44,200 --> 00:19:48,720
Speaker 2: to revive a crucial American industry. I wish that it

390
00:19:48,760 --> 00:19:51,200
Speaker 2: would have gone under the Department of Energy, or perhaps

391
00:19:51,240 --> 00:19:53,840
Speaker 2: the Department of Interior, or what are we talking about.

392
00:19:53,880 --> 00:19:58,000
Speaker 2: Donald Trump signing an executive order directing the Department of

393
00:19:58,040 --> 00:20:03,080
Speaker 2: War to work directly with America's coal plants to purchase power,

394
00:20:03,480 --> 00:20:07,240
Speaker 2: and he's tying all of this to national defense now

395
00:20:07,280 --> 00:20:10,439
Speaker 2: alongside the Pentagon. The directive the Department of Energy is

396
00:20:10,440 --> 00:20:12,560
Speaker 2: going to provide one hundred and seventy five million dollars

397
00:20:12,560 --> 00:20:17,960
Speaker 2: for upgrades to six coal power plants in Kentucky, North Carolina, Ohio, Virginia,

398
00:20:18,000 --> 00:20:22,280
Speaker 2: and West Virginia. But they're saying this is all for

399
00:20:22,640 --> 00:20:28,280
Speaker 2: national security, Department of War, and yes, we need sovereignty,

400
00:20:28,320 --> 00:20:30,760
Speaker 2: we need to be safe. But how about you say

401
00:20:30,800 --> 00:20:34,000
Speaker 2: you're doing it so that we have cheaper utility bills.

402
00:20:34,119 --> 00:20:37,159
Speaker 3: Well, this is this is nothing but a backdoor subsidy

403
00:20:37,200 --> 00:20:38,240
Speaker 3: for the coal industry.

404
00:20:38,280 --> 00:20:39,480
Speaker 5: That's exactly what this is.

405
00:20:39,520 --> 00:20:42,400
Speaker 3: And like you said, it's one hundred and seventy five

406
00:20:42,440 --> 00:20:45,920
Speaker 3: million dollars to upgrade coal plants in several states. And

407
00:20:47,080 --> 00:20:51,440
Speaker 3: the marketplace should work like the marketplace works, which means

408
00:20:51,440 --> 00:20:54,600
Speaker 3: if there isn't enough demand for coal and they can't

409
00:20:54,680 --> 00:20:57,639
Speaker 3: produce this coal at a price that the market wants,

410
00:20:57,720 --> 00:21:00,880
Speaker 3: then it's likely those coal plants should probably go offline.

411
00:21:00,920 --> 00:21:01,560
Speaker 5: And it's tough to.

412
00:21:01,520 --> 00:21:03,439
Speaker 3: Say that because I feel bad for the people that

413
00:21:03,480 --> 00:21:05,520
Speaker 3: work in the coal industry and their livelihoods are on

414
00:21:05,560 --> 00:21:08,040
Speaker 3: the line. But that's the way capitalism works, and that's

415
00:21:08,080 --> 00:21:09,359
Speaker 3: the way the marketplace works.

416
00:21:09,520 --> 00:21:10,080
Speaker 5: But this is.

417
00:21:10,080 --> 00:21:13,480
Speaker 3: Trump again, and he does this to such a degree

418
00:21:13,480 --> 00:21:16,760
Speaker 3: that it just drives me crazy. It's him picking winners

419
00:21:16,760 --> 00:21:20,760
Speaker 3: and losers. This is nothing but a backdoor subsidy for

420
00:21:20,800 --> 00:21:21,480
Speaker 3: the coal industry.

421
00:21:21,560 --> 00:21:23,919
Speaker 2: Yeah, he's tying federal spending to an industry that's been

422
00:21:23,960 --> 00:21:27,040
Speaker 2: losing market share. Coal been on the decline for decades.

423
00:21:28,119 --> 00:21:32,520
Speaker 2: Cheaper gas, renewable energy sources have been chosen instead. But

424
00:21:32,720 --> 00:21:36,719
Speaker 2: the administration is pushing federal support to reverse that trend.

425
00:21:37,119 --> 00:21:40,520
Speaker 2: And here is Donald Trump saying that coal is critical

426
00:21:40,560 --> 00:21:41,879
Speaker 2: to our national security.

427
00:21:42,560 --> 00:21:46,480
Speaker 8: Cole is also critical to our national security, vital to

428
00:21:46,640 --> 00:21:51,679
Speaker 8: everything from steel production to shipbuilding and artificial intelligence. It's

429
00:21:52,080 --> 00:21:56,200
Speaker 8: incredible what's happening with coal. And it's also incredible how

430
00:21:56,320 --> 00:21:58,120
Speaker 8: clean they are able to keep it now with all

431
00:21:58,160 --> 00:22:01,280
Speaker 8: of the new techniques. By using it, they're able to

432
00:22:01,280 --> 00:22:05,160
Speaker 8: do things environmentallyly that are amazing. You see that. That's

433
00:22:05,240 --> 00:22:08,960
Speaker 8: why I'm also pleased to announce that in just a moment,

434
00:22:09,000 --> 00:22:11,880
Speaker 8: I will sign an executive order that directs the Department

435
00:22:11,880 --> 00:22:15,080
Speaker 8: of War to work directly with coal plants on the

436
00:22:15,200 --> 00:22:18,000
Speaker 8: new power purchasing agreements ensuring.

437
00:22:17,640 --> 00:22:19,640
Speaker 5: That we have more reliable power and.

438
00:22:19,640 --> 00:22:23,919
Speaker 8: Stronger and more resilient grid power. And we're going to

439
00:22:23,960 --> 00:22:26,760
Speaker 8: be buying a lot of CALL through the military now,

440
00:22:26,800 --> 00:22:30,120
Speaker 8: and it's going to be less expensive and actually much

441
00:22:30,160 --> 00:22:33,240
Speaker 8: more effective than what we have been using for many,

442
00:22:33,280 --> 00:22:37,320
Speaker 8: many years. And again with the environmental progress that's been

443
00:22:37,320 --> 00:22:39,600
Speaker 8: made on call, it's going to be just as clean.

444
00:22:40,880 --> 00:22:44,920
Speaker 2: So no problem with coal. It's the it's the package.

445
00:22:44,920 --> 00:22:46,200
Speaker 5: How he's messaging it well.

446
00:22:46,240 --> 00:22:48,679
Speaker 3: And what drives me crazy about this is, so let's

447
00:22:48,760 --> 00:22:51,520
Speaker 3: let's put party politics aside. And you know I hate

448
00:22:51,560 --> 00:22:55,920
Speaker 3: party politics, but let's be intellectually honest about this. Myself

449
00:22:55,920 --> 00:22:58,520
Speaker 3: included a lot of people in Central Indiana, and myself

450
00:22:58,520 --> 00:23:03,200
Speaker 3: included very upset, ranting and railing whenever we see subsidies

451
00:23:03,240 --> 00:23:06,760
Speaker 3: for things like wind and solar. Anytime somebody talks about

452
00:23:06,760 --> 00:23:09,400
Speaker 3: solar in the state of Indiana, everybody loses their mind

453
00:23:09,440 --> 00:23:11,480
Speaker 3: because we know there's a ton of subsidies going there.

454
00:23:11,880 --> 00:23:14,239
Speaker 3: If that's you, because that's me, But if that's you,

455
00:23:14,240 --> 00:23:16,919
Speaker 3: you're upset about subsidies for wind and solar. To be

456
00:23:17,000 --> 00:23:20,000
Speaker 3: intellectually honest, you've got to be upset about these subsidies

457
00:23:20,000 --> 00:23:20,760
Speaker 3: for coal as well.

458
00:23:21,680 --> 00:23:25,240
Speaker 2: So there was an Indiana coal worker. Who is President?

459
00:23:25,600 --> 00:23:29,840
Speaker 2: Who's your Kayla Blackford was representing Indiana coal makers coal

460
00:23:29,880 --> 00:23:31,680
Speaker 2: makers on the national stage.

461
00:23:31,920 --> 00:23:34,520
Speaker 7: Thank you, mister President, as he said, my name is

462
00:23:34,560 --> 00:23:37,320
Speaker 7: Cale Blackford, and I am so proud and honored to

463
00:23:37,320 --> 00:23:41,360
Speaker 7: be here today representing Peabody and coal miners across this country.

464
00:23:42,359 --> 00:23:44,399
Speaker 7: My husband and I both work at Bearn Mine in

465
00:23:44,400 --> 00:23:47,440
Speaker 7: southern Indiana. I drive a Hall truck and I train

466
00:23:47,520 --> 00:23:50,320
Speaker 7: others on this large piece of equipment. A Hall truck

467
00:23:50,400 --> 00:23:54,080
Speaker 7: is used to move rock or coal and is capable

468
00:23:54,119 --> 00:23:56,920
Speaker 7: of carrying loads of nearly two hundred and fifty tons.

469
00:23:57,400 --> 00:23:59,600
Speaker 7: The tires are twelve feet tall. When I stand next

470
00:23:59,600 --> 00:24:01,680
Speaker 7: to one, I barely reached the middle of the tire.

471
00:24:02,359 --> 00:24:04,720
Speaker 7: It's the best job I've ever had, and not just

472
00:24:04,800 --> 00:24:08,679
Speaker 7: because of the cool mom points I get for driving

473
00:24:08,680 --> 00:24:13,240
Speaker 7: big equipment. My job supports my family, it supports our community,

474
00:24:13,520 --> 00:24:16,640
Speaker 7: and it keeps the lights on and electricity affordable, not

475
00:24:16,720 --> 00:24:21,280
Speaker 7: just in Indiana but across the country. As demand increases

476
00:24:21,400 --> 00:24:25,320
Speaker 7: and our lives become increasingly electrified, America needs to generate

477
00:24:25,359 --> 00:24:29,680
Speaker 7: more electricity, not less. For years, coal miners have felt

478
00:24:29,680 --> 00:24:32,920
Speaker 7: the weight of policies that made our future uncertain. Over

479
00:24:32,960 --> 00:24:35,160
Speaker 7: the past year, that weight has begun to lift.

480
00:24:36,200 --> 00:24:39,960
Speaker 2: She's not wrong there. The need for electricity has grown exponentially.

481
00:24:40,000 --> 00:24:42,280
Speaker 2: Of course, markets responded. There was a rally on coal

482
00:24:42,280 --> 00:24:46,840
Speaker 2: related stocks after the announcement. Investors anticipate more demand for

483
00:24:46,920 --> 00:24:47,560
Speaker 2: coal power.

484
00:24:47,920 --> 00:24:50,920
Speaker 3: And I appreciate that woman's story being a fellow Hoosier

485
00:24:50,920 --> 00:24:52,639
Speaker 3: and talking about it, And I do feel bad for

486
00:24:52,680 --> 00:24:54,639
Speaker 3: people that work in the coal industry that might be

487
00:24:54,720 --> 00:24:57,240
Speaker 3: losing their jobs, But that doesn't mean that we should

488
00:24:57,240 --> 00:25:00,320
Speaker 3: be subsidizing their industries. Look, I've worked in me media

489
00:25:00,520 --> 00:25:03,920
Speaker 3: and for software companies for thirty years. Not one time

490
00:25:04,200 --> 00:25:06,399
Speaker 3: ever in my entire career did I work for a

491
00:25:06,440 --> 00:25:10,440
Speaker 3: company that received a government subsidy. The businesses I worked

492
00:25:10,440 --> 00:25:13,159
Speaker 3: for had to compete in the marketplace, and yet there

493
00:25:13,160 --> 00:25:15,359
Speaker 3: were times when we had to lay off employees because

494
00:25:15,400 --> 00:25:18,440
Speaker 3: we were in a financial situation that required that. That's

495
00:25:18,480 --> 00:25:22,040
Speaker 3: the way that America should work. That's the way capitalism works,

496
00:25:22,119 --> 00:25:25,320
Speaker 3: and picking winners and losers is always a bad idea,

497
00:25:25,359 --> 00:25:28,680
Speaker 3: and ultimately it's always bad for the American people. That's

498
00:25:28,720 --> 00:25:32,240
Speaker 3: the story here, that is Trump subsidizing the coal industry

499
00:25:32,240 --> 00:25:32,800
Speaker 3: with this story.

500
00:25:32,840 --> 00:25:35,480
Speaker 2: So Governor Mike Brown he broke ground at META. He

501
00:25:35,600 --> 00:25:38,800
Speaker 2: said the Metadata center campus will create three hundred high

502
00:25:38,800 --> 00:25:41,800
Speaker 2: paying jobs. The company also committed to pay one point

503
00:25:41,840 --> 00:25:44,920
Speaker 2: five million to the city of Lebnon for each completed

504
00:25:44,960 --> 00:25:50,119
Speaker 2: phase of the six phase project. It's a multi phase

505
00:25:50,160 --> 00:25:53,280
Speaker 2: plan with the total investment of more than ten billion dollars.

506
00:25:53,680 --> 00:25:57,080
Speaker 2: Project spans about fifteen hundred acres. Is going to include

507
00:25:57,119 --> 00:26:00,920
Speaker 2: thirteen buildings and ten data center buildings.

508
00:26:00,920 --> 00:26:03,920
Speaker 5: While we were just talking about the need for coal, there.

509
00:26:03,760 --> 00:26:07,280
Speaker 3: You go, great, let the market decide that need for coal.

510
00:26:07,320 --> 00:26:10,280
Speaker 3: This data center groundbreaking that took place with Mike Brawn

511
00:26:10,320 --> 00:26:11,280
Speaker 3: and META yesterday.

512
00:26:11,560 --> 00:26:12,959
Speaker 5: There is so much this is.

513
00:26:13,160 --> 00:26:16,520
Speaker 3: This is like everything that's wrong with politics in our

514
00:26:16,560 --> 00:26:20,000
Speaker 3: state wrapped up into one. You've got the corrupt IEDC,

515
00:26:20,760 --> 00:26:23,320
Speaker 3: which we know that they failed that financial audit. We

516
00:26:23,359 --> 00:26:25,520
Speaker 3: saw the three Kings article that was written about the

517
00:26:25,560 --> 00:26:28,040
Speaker 3: conflicts of interest associated with IDIEDC.

518
00:26:28,480 --> 00:26:29,520
Speaker 5: That was the lead on this.

519
00:26:29,680 --> 00:26:32,480
Speaker 3: And by the way, the IEDC took your tax dollars

520
00:26:32,800 --> 00:26:36,120
Speaker 3: and way overpaid for tons of farmland in the Leap

521
00:26:36,160 --> 00:26:39,760
Speaker 3: district so that they could give it to billion dollar corporations.

522
00:26:39,840 --> 00:26:42,359
Speaker 3: Like Lily and Meta. That's what you've got there. Oh,

523
00:26:42,400 --> 00:26:44,879
Speaker 3: by the way, they're building this massive data center and

524
00:26:44,920 --> 00:26:48,480
Speaker 3: it's not even that. Actually it should use data centers.

525
00:26:48,560 --> 00:26:50,560
Speaker 3: And we'll talk more about this with Niki Kelly. This

526
00:26:50,640 --> 00:26:53,480
Speaker 3: is many many buildings in here. You've got the issue

527
00:26:53,480 --> 00:26:56,600
Speaker 3: with power supply and consumption and rising utility rates. You've

528
00:26:56,600 --> 00:26:59,080
Speaker 3: got the issue with them trying to steal water from

529
00:26:59,119 --> 00:27:03,040
Speaker 3: nearby community. You've got crony capitalism at every single step

530
00:27:03,080 --> 00:27:07,639
Speaker 3: of the way. And this, this, this event yesterday crystallized

531
00:27:07,680 --> 00:27:10,920
Speaker 3: and brought all of those nasty pieces of politics together

532
00:27:11,040 --> 00:27:12,800
Speaker 3: in one big event.

533
00:27:13,160 --> 00:27:16,920
Speaker 2: The worst part about this is no matter what was said,

534
00:27:16,960 --> 00:27:21,000
Speaker 2: what was done, they won. They're moving forward.

535
00:27:20,720 --> 00:27:23,040
Speaker 5: You know what, And that really is that's the take

536
00:27:23,080 --> 00:27:23,480
Speaker 5: in all of this.

537
00:27:23,560 --> 00:27:26,280
Speaker 3: We've been talking about all these issues AI and data

538
00:27:26,320 --> 00:27:29,639
Speaker 3: centers and energy and stealing water and resources and the

539
00:27:29,680 --> 00:27:32,880
Speaker 3: IEDC and the Leap District and fighting the good fight

540
00:27:32,960 --> 00:27:36,960
Speaker 3: and talking about these things, and the bad guys won.

541
00:27:37,320 --> 00:27:37,840
Speaker 5: Yesterday.

542
00:27:38,119 --> 00:27:40,200
Speaker 3: I felt like we were I felt like like we

543
00:27:40,200 --> 00:27:43,200
Speaker 3: were Michael Jordan playing the Detroit Pistons in the eighties

544
00:27:43,400 --> 00:27:45,840
Speaker 3: and the Detroit Pistons all and they were the bad guys,

545
00:27:45,880 --> 00:27:47,879
Speaker 3: and they were smacking Michael Jordan in the face and

546
00:27:47,920 --> 00:27:50,160
Speaker 3: he would jump up and they'd slam him to the ground,

547
00:27:50,200 --> 00:27:52,080
Speaker 3: and the refs might call a foul or give him

548
00:27:52,080 --> 00:27:54,760
Speaker 3: a technical and they'd beat the bulls and Michael Jordan

549
00:27:54,880 --> 00:27:56,639
Speaker 3: up and they were the good guys. They were fighting

550
00:27:56,640 --> 00:27:58,920
Speaker 3: the good fight against the bad boys from the Pistons.

551
00:27:58,960 --> 00:28:01,879
Speaker 3: And every year in the eighties, Michael Jordan had to

552
00:28:01,880 --> 00:28:03,919
Speaker 3: sit on the sideline on the last game of the

553
00:28:03,960 --> 00:28:06,040
Speaker 3: season as they lost to the Pistons and saw the

554
00:28:06,040 --> 00:28:09,080
Speaker 3: Pistons celebrating in the middle of the court. That's what

555
00:28:09,119 --> 00:28:10,160
Speaker 3: this was yesterday.

556
00:28:10,280 --> 00:28:12,400
Speaker 2: And keep in mind that this is also a company

557
00:28:12,480 --> 00:28:17,520
Speaker 2: that censored Hoosiers during the COVID lockdowns. But you know what,

558
00:28:17,880 --> 00:28:20,639
Speaker 2: We're gonna forget all about that because the check is

559
00:28:20,680 --> 00:28:21,240
Speaker 2: big enough.

560
00:28:21,359 --> 00:28:22,600
Speaker 5: It's a big check.

561
00:28:22,680 --> 00:28:26,720
Speaker 3: This is a tens of billions of dollars being spent here,

562
00:28:26,760 --> 00:28:29,479
Speaker 3: and their money talked and they got to win, and

563
00:28:29,520 --> 00:28:32,720
Speaker 3: they got their big celebration right in our face yesterday

564
00:28:32,760 --> 00:28:34,919
Speaker 3: while we were standing on the sidelines being forced to

565
00:28:34,920 --> 00:28:35,280
Speaker 3: watch it.

566
00:28:35,640 --> 00:28:39,600
Speaker 2: Iowa lawmakers introducing a bill. Guess what they want?

567
00:28:39,720 --> 00:28:42,400
Speaker 5: This is great, this is great.

568
00:28:42,480 --> 00:28:45,840
Speaker 2: Guess what they want. It's more like, guess who they want.

569
00:28:46,600 --> 00:28:48,880
Speaker 2: They want the Chicago Bears.

570
00:28:49,080 --> 00:28:49,960
Speaker 5: This is not a joke.

571
00:28:50,120 --> 00:28:53,320
Speaker 3: You get an NFL team, and isn't This isn't just

572
00:28:53,360 --> 00:28:55,960
Speaker 3: some group or some concept or somebody having fun with

573
00:28:56,040 --> 00:28:59,120
Speaker 3: AI on Twitter. Now, these are lawmakers in Iowa that

574
00:28:59,280 --> 00:29:03,040
Speaker 3: spent time and I'm sure plenty of taxpayers dollar a

575
00:29:03,080 --> 00:29:05,360
Speaker 3: little bit late to the but the Iowa has now

576
00:29:05,400 --> 00:29:09,080
Speaker 3: come up with a serious proposal that they are putting

577
00:29:09,080 --> 00:29:11,880
Speaker 3: in front of the Chicago Bears to move the Bears

578
00:29:12,240 --> 00:29:14,800
Speaker 3: to the state of Iowa. I figure, hey, Missouri, what

579
00:29:14,920 --> 00:29:17,800
Speaker 3: you been doing you border Illinois. Where's your proposal to

580
00:29:17,840 --> 00:29:21,680
Speaker 3: bring the Bears to Missouri? What's Michigan doing Wisconsin? You

581
00:29:21,720 --> 00:29:23,520
Speaker 3: guys have just been doing nothing up there when you

582
00:29:23,560 --> 00:29:26,680
Speaker 3: frozen in your lakes in Wisconsin. Get your legislators together

583
00:29:26,720 --> 00:29:28,800
Speaker 3: and put together a package that might bring the Bears

584
00:29:28,840 --> 00:29:29,440
Speaker 3: to Wisconsin.

585
00:29:29,520 --> 00:29:30,959
Speaker 5: Everybody's doing it Iowa.

586
00:29:31,160 --> 00:29:33,840
Speaker 2: So the lawmakers in Iowa, they drew introduced to bill

587
00:29:34,000 --> 00:29:38,280
Speaker 2: Senate File twenty two fifty two, and they're trying to

588
00:29:38,320 --> 00:29:42,200
Speaker 2: get the Chicago Bears by expanding the state's major economic

589
00:29:42,280 --> 00:29:45,120
Speaker 2: growth attraction program. Guess what it's called?

590
00:29:45,280 --> 00:29:52,520
Speaker 5: The acronym major economic growth attraction Mega mega mega geez yeah.

591
00:29:52,360 --> 00:29:56,000
Speaker 2: Yeah, yeah. They've got incentives there to build this new stadium,

592
00:29:56,680 --> 00:30:01,000
Speaker 2: and they say that they're ready for their Bear and

593
00:30:01,160 --> 00:30:04,960
Speaker 2: that their current state can deliver a stadium deal. Of

594
00:30:05,000 --> 00:30:05,880
Speaker 2: course they can't.

595
00:30:05,960 --> 00:30:08,560
Speaker 3: Look, it's one thing for you know, us to talk

596
00:30:08,560 --> 00:30:11,760
Speaker 3: about Indiana putting a Chicago Bears stadium pretty much on

597
00:30:11,840 --> 00:30:14,920
Speaker 3: the state line. The border with Iowa is that's like

598
00:30:14,920 --> 00:30:17,400
Speaker 3: a two and a half hour drive away to Ye,

599
00:30:17,640 --> 00:30:21,240
Speaker 3: go through Rockford, right and there's nothing there. Des Moines

600
00:30:21,320 --> 00:30:23,320
Speaker 3: is in the middle of the state. That's their biggest city.

601
00:30:23,360 --> 00:30:26,240
Speaker 3: So they're talking about putting this like around the Quad Cities.

602
00:30:27,840 --> 00:30:29,080
Speaker 5: Just just the funniest thing.

603
00:30:29,320 --> 00:30:32,200
Speaker 3: Go on Twitter and look for the artist renderings of

604
00:30:32,240 --> 00:30:35,400
Speaker 3: this Chicago Bear City stadium sitting right there on the

605
00:30:35,440 --> 00:30:38,960
Speaker 3: Mississippi River two and a half hours heard of the country.

606
00:30:39,080 --> 00:30:40,400
Speaker 5: Oh absolutely, yeah, it's out there.

607
00:30:40,480 --> 00:30:43,960
Speaker 3: Yeah yeah, right on the river there, but the Mississippi River,

608
00:30:44,000 --> 00:30:46,360
Speaker 3: which is the border between Iowa and Illinois and about

609
00:30:46,360 --> 00:30:48,480
Speaker 3: two and a half hours from downtown Chicago.

610
00:30:49,120 --> 00:30:51,880
Speaker 2: So obviously this is a long shot, but it does

611
00:30:51,920 --> 00:30:55,239
Speaker 2: show what real free market competition.

612
00:30:54,760 --> 00:30:55,520
Speaker 5: Will do well.

613
00:30:55,520 --> 00:30:57,520
Speaker 2: It's truly whoever offers the best deal.

614
00:30:57,640 --> 00:31:00,680
Speaker 3: It shows what politicians are willing to do with your

615
00:31:00,760 --> 00:31:03,800
Speaker 3: tax dollars. In the state of Kansas did this to

616
00:31:03,880 --> 00:31:06,680
Speaker 3: lure the Chiefs away from Missouri. And now anytime the

617
00:31:06,800 --> 00:31:09,560
Speaker 3: lawmakers have a chance to spend your tax dollars to

618
00:31:09,600 --> 00:31:12,480
Speaker 3: give billionaires a free stadium, now every state in the

619
00:31:12,480 --> 00:31:13,760
Speaker 3: world is lining up to do it.

620
00:31:14,240 --> 00:31:24,320
Speaker 2: You're listening to ninety three WYBC. You've heard the phrase

621
00:31:24,320 --> 00:31:27,240
Speaker 2: A healthy person has a million wishes, a sick person

622
00:31:27,480 --> 00:31:31,080
Speaker 2: only has one. And with the passing of James Vanderbeek,

623
00:31:31,160 --> 00:31:34,360
Speaker 2: I think that is a huge reminder of that life

624
00:31:34,400 --> 00:31:38,080
Speaker 2: and legacy matter more than celebrity. He was the star

625
00:31:38,120 --> 00:31:41,960
Speaker 2: of Dawson's Creek and also Varsity Blues, and he passed

626
00:31:41,960 --> 00:31:45,840
Speaker 2: away yesterday due to colorectal cancer. And I think this

627
00:31:46,000 --> 00:31:49,600
Speaker 2: also is an opportunity for us to encourage regular health

628
00:31:49,640 --> 00:31:53,160
Speaker 2: screenings and also to support families who are dealing with

629
00:31:53,240 --> 00:31:58,800
Speaker 2: serious illnesses, even if they are famous or known for

630
00:31:58,960 --> 00:32:01,120
Speaker 2: something other than just an illness.

631
00:32:01,440 --> 00:32:03,640
Speaker 3: Yeah, it's sad to see. I mean, this guy was

632
00:32:03,720 --> 00:32:06,040
Speaker 3: pretty popular. Now, I was a little bit too old

633
00:32:06,080 --> 00:32:08,080
Speaker 3: for the type of shows and movies that that James

634
00:32:08,160 --> 00:32:10,640
Speaker 3: Vanderbeek was making. But if you were, if you were,

635
00:32:10,680 --> 00:32:12,800
Speaker 3: if you're thirty five, if you're forty, if you're forty

636
00:32:12,800 --> 00:32:15,280
Speaker 3: five years old, that's probably right in the wheelhouse. You

637
00:32:15,320 --> 00:32:19,240
Speaker 3: probably grew up watching James Vanderbeek on Dawson's Creek. Of course,

638
00:32:19,240 --> 00:32:21,880
Speaker 3: the movie Varsity Blues was a big part of your childhood.

639
00:32:21,920 --> 00:32:25,520
Speaker 3: Probably is That was a monster movie about high school football,

640
00:32:25,560 --> 00:32:27,680
Speaker 3: and James Vanderbeek was the quarterback in that movie. But

641
00:32:27,720 --> 00:32:29,520
Speaker 3: you make a really good point, Casey about the fact

642
00:32:29,520 --> 00:32:32,240
Speaker 3: that you know, you always look for silver linings and

643
00:32:32,320 --> 00:32:35,200
Speaker 3: sad stories like this about him passing away way too young,

644
00:32:36,280 --> 00:32:38,640
Speaker 3: always a good idea to to, you know, get your

645
00:32:38,680 --> 00:32:39,640
Speaker 3: colonoscopy done.

646
00:32:39,640 --> 00:32:42,040
Speaker 5: And I know it's no fun. Everybody hates the prep.

647
00:32:42,320 --> 00:32:45,440
Speaker 3: Everybody hates the prep for a colons colonoscopy, but you

648
00:32:45,520 --> 00:32:47,760
Speaker 3: end up during the procedure it's the best nap you'll

649
00:32:47,760 --> 00:32:50,240
Speaker 3: ever get in your entire life, so there is kind

650
00:32:50,240 --> 00:32:51,080
Speaker 3: of a benefit to it.

651
00:32:51,120 --> 00:32:52,880
Speaker 5: But yeah, you know, go to your doctor.

652
00:32:52,920 --> 00:32:56,480
Speaker 3: They're recommending colonoscopy's younger and younger these days, so you

653
00:32:56,560 --> 00:32:58,280
Speaker 3: may think, oh, you know what, I don't need I'm

654
00:32:58,320 --> 00:33:01,080
Speaker 3: not fifty yet. I don't need a colonoscapy. Those recommendations

655
00:33:01,120 --> 00:33:04,600
Speaker 3: are coming in much younger than the old ones of

656
00:33:04,640 --> 00:33:06,000
Speaker 3: waiting until you're fifty years old.

657
00:33:06,120 --> 00:33:08,200
Speaker 2: He put a message out about a year ago, and

658
00:33:08,280 --> 00:33:10,560
Speaker 2: he said that he was known for celebrity and he

659
00:33:10,680 --> 00:33:14,360
Speaker 2: had status, but while he was battling cancer, all of

660
00:33:14,360 --> 00:33:19,200
Speaker 2: that was stripped away and he found himself alone in

661
00:33:19,240 --> 00:33:23,200
Speaker 2: an apartment dealing with a sickness. And this is what

662
00:33:23,320 --> 00:33:23,840
Speaker 2: he learned.

663
00:33:24,200 --> 00:33:25,920
Speaker 9: And so I was faced with the question, if I

664
00:33:25,960 --> 00:33:33,120
Speaker 9: am just a too skinny, weak guy alone in an

665
00:33:33,120 --> 00:33:41,720
Speaker 9: apartment with cancer, what am I? And I meditated and

666
00:33:41,760 --> 00:33:45,920
Speaker 9: the answer came through, I am worthy of God's love

667
00:33:49,480 --> 00:33:54,680
Speaker 9: simply because I exist. And if I'm worthy of God's love,

668
00:33:54,720 --> 00:33:59,560
Speaker 9: shouldn't I also be worthy of my own? And the

669
00:33:59,600 --> 00:34:00,520
Speaker 9: same as for you.

670
00:34:01,200 --> 00:34:04,720
Speaker 5: Absolutely, that story stinks, just a sad story. You know,

671
00:34:04,800 --> 00:34:07,640
Speaker 5: leaves a wife and I believe four children behind six

672
00:34:08,000 --> 00:34:08,680
Speaker 5: six children.

673
00:34:08,760 --> 00:34:12,640
Speaker 3: Yeah, just by all accounts, just seems to be a really,

674
00:34:12,680 --> 00:34:16,160
Speaker 3: really nice guy that had this tragedy. I think one

675
00:34:16,160 --> 00:34:17,920
Speaker 3: of the other sad parts about this is, you know,

676
00:34:17,960 --> 00:34:21,120
Speaker 3: he was a very successful Hollywood actor in television and movies.

677
00:34:21,280 --> 00:34:23,439
Speaker 3: He ended up having to sell a lot of memorabilia

678
00:34:23,480 --> 00:34:26,719
Speaker 3: and open up a GoFundMe to pay for his pay

679
00:34:26,719 --> 00:34:29,880
Speaker 3: for his medical pair because that's how expensive these cancer

680
00:34:29,920 --> 00:34:32,520
Speaker 3: treatments have been over the years. But sad story for

681
00:34:32,600 --> 00:34:35,120
Speaker 3: James Vanderbeek hassingaway yesterday at age forty eight.

682
00:34:35,200 --> 00:34:37,520
Speaker 2: You know, he said that he was worthy of God's

683
00:34:37,600 --> 00:34:40,360
Speaker 2: love and it makes me think many people turn to

684
00:34:40,400 --> 00:34:43,080
Speaker 2: God in times of need, don't forget to turn to

685
00:34:43,719 --> 00:34:47,200
Speaker 2: him in times of celebration as well. It is ninety

686
00:34:47,200 --> 00:35:03,960
Speaker 2: three WIBC way down now

687
00:35:05,560 --> 00:35:05,920
Speaker 7: Fall