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Speaker 1: Welcome everybody to this Wednesday edition of Just the News,

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Speaker 1: No Noise. I'm your host, Amanda Head here in the

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Speaker 1: nation's capital of Washington, d C. My co host John

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Speaker 1: Solomon is out on assignment tonight.

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Speaker 2: But he's going to be rejoining me tomorrow.

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Speaker 3: Now.

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Speaker 1: Tonight, the House is voting on finally reopening the government

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Speaker 1: after the longest shut down in American history, whether you

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Speaker 1: filtered or not. Now, we're going to have quite a

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Speaker 1: bit on that tonight as the vote continues, including some

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Speaker 1: reaction for both sides of the aisle. And let's start

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Speaker 1: with the Democrats, because, as I showed you last night,

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Speaker 1: a number of them are not very happy about efforts

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Speaker 1: to reopen the government. And believe it or not, some

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Speaker 1: actually admitted that they believed the show was worth it. Seriously,

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Speaker 1: watch this from CNN of all places shutdown worth it?

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Speaker 4: Yeah, I think so.

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Speaker 2: I hate it, but yeah, it was worth it.

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Speaker 1: Definitely.

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Speaker 3: We got people to pay attention to the fact that

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Speaker 3: this is a traumatic, in many cases, life or desk

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Speaker 3: situation for people all over this country.

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Speaker 5: It wasn't shutdown worth it.

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Speaker 6: I think it was because I think the perception we

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Speaker 6: made it clear that it's not just a healthcare issue,

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Speaker 6: but the whole.

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Speaker 1: Issue, and the infighting has continued over on the Democrat side.

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Speaker 1: For example, a lot of us have been speculating that

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Speaker 1: Senate Minority Leader Chuck Schumer was keeping the government close

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Speaker 1: so that he wouldn't be seen as caving into President

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Speaker 1: Trump in the hopes of keeping a possible Senate run

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Speaker 1: from Congresswoman Alexandria Acasio Cortes at Bay Well, it turns

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Speaker 1: out that AOC is already in campaign mode.

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Speaker 5: I think it's important that we understand that this is

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Speaker 5: not just a fut en of for Schumer, that this

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Speaker 5: is about the Democratic Party and Senator Schumer. There's no

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Speaker 5: one vote that ended this shutdown. We are talking about

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Speaker 5: a coordinated effort of eight senators with the knowledge of

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Speaker 5: Leader Schumer, voting to break with the entire Democratic Party

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Speaker 5: in exchange for nothing.

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Speaker 4: Mm hmm.

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Speaker 1: So what you just saw there was an attack on

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Speaker 1: Schumer presented as an attack on the whole party. That

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Speaker 1: kind of thing is exactly what Minority Leader Schumer was

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Speaker 1: trying to avoid. Now, like I said, we are going

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Speaker 1: to have a lot more on this throughout the show tonight.

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Speaker 1: But moving on now to FBI Director Cash Battel, who

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Speaker 1: announced that the US and China reached an agreement to

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Speaker 1: combat fentanyl precursors quote at a level never seen before.

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Speaker 7: Thanks to President Trump's directing gave with President she the

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Speaker 7: government of China committed fully to my engagement there on

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Speaker 7: the ground in Beijing at a level never seen before.

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Speaker 7: While at Ministry of Public Security headquarters, I met with

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Speaker 7: my counterpart at MPs where that Chinese government agreed on

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Speaker 7: a plan to stop fentanyl precursors. What does that mean?

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Speaker 7: The People's Republic of China has fully designated and listed

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Speaker 7: all thirteen precursors utilized to make fentanyl. Furthermore, they have

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Speaker 7: agreed to control seven chemical subsidiaries that are also utilized

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Speaker 7: to produce this lethal drug.

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Speaker 1: And FBI Director Patel went on to say that President

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Speaker 1: Trump had shut off the pipeline that creates fentanyl and

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Speaker 1: kills tens of thousands of Americans a year. Director Ptel

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Speaker 1: also said that these fentanyl precursors would no longer be

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Speaker 1: used by the Mexican drug cartels, presumably because they wouldn't

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Speaker 1: be made anymore, or because they're getting blown up in

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Speaker 1: the Caribbean. Now, fentanyl was one of the subjects of

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Speaker 1: conversation between President Trump and Chinese President Sheet last month

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Speaker 1: at their meeting in South Korea, and it was after

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Speaker 1: that meeting that President Trump announced that the Chinese would

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Speaker 1: be taking real steps to end the manufacture of the

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Speaker 1: Fenstal precursors. However, as with anything that the CCP says,

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Speaker 1: we are going to need to you know, I guess

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Speaker 1: tacitly trust.

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Speaker 2: But verify.

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Speaker 1: Let's put it away, all right, everybody, so we are

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Speaker 1: keeping an eye on the shutdown vote. And joining us

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Speaker 1: now is Texas Congresswoman Beth van Dine, Congresswoman.

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Speaker 2: Thanks so much for being here.

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Speaker 8: Thank you, it's good to be on. I'm appreciate you

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Speaker 8: havn't me.

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Speaker 1: We are delighted to have you. Tell us the mood

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Speaker 1: on the floor right now. I know the vote is,

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Speaker 1: we're still waiting on it to happen.

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Speaker 2: What's the mood.

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Speaker 9: Well, this is the first time many of us have

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Speaker 9: seen each other in quite some time. So everybody's catching

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Speaker 9: out very excited to be back on the floor, ready

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Speaker 9: to vote, ready to vote this in, and ready to

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Speaker 9: move forward and make sure that we are going to

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Speaker 9: be back all next week, you know, Monday, through Friday.

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Speaker 9: I'm voting on buildings that all of us have introduced

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Speaker 9: and are excited to have. So I think we have

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Speaker 9: looked at this, this government shutdown as being all about nothing.

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Speaker 9: I think, you know, I hate to give AOC credit,

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Speaker 9: but you know she said it right. You know, Schumer

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Speaker 9: shut this down and at the end of forty three

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Speaker 9: days had gotten absolutely nothing.

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Speaker 8: But they knew that going into it. Instead, what you've seen.

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Speaker 9: Is one point, you know, three million military wondering when

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Speaker 9: they're going to get their next paycheck. You saw thirteen

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Speaker 9: thousand air traffic controllers without pay who are still going

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Speaker 9: to work, and you saw forty three million people lose

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Speaker 9: their STAF benefits. This was all preventable, and this was

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Speaker 9: all because you had Democrats like Chuck Schumer not actually

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Speaker 9: wanting to give into their radical left base.

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Speaker 8: It was completely avoidable.

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Speaker 9: And finally we are back here because a little more

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Speaker 9: than a handful of Democrats in the Senate got some sense.

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Speaker 1: Yeah, I mean, absolutely avoidable, and a game of chicken

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Speaker 1: that as far as I think the voters are concerned,

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Speaker 1: Democrats lost books. We just played a montage of Democrat

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Speaker 1: members of Congress saying that it was quote worth it

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Speaker 1: literally to have this shutdown, but in the end that

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Speaker 1: their voters perceived that they caved.

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Speaker 2: So how is that worth it?

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Speaker 9: I don't think it's for I think everyone that I

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Speaker 9: just saw that was just interview took a deep pause

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Speaker 9: beforehand and said, Okay, I have to say it was

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Speaker 9: worth it, because otherwise I'm admitting that this was a

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Speaker 9: total waste of time and a failure.

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Speaker 8: So yeah, they're going to have to say that to

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Speaker 8: save face. But the fact is.

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Speaker 9: That we just lost forty three days of business that

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Speaker 9: we could have been doing.

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Speaker 8: And not to mention the damage on the economy.

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Speaker 9: I think the Press Secretary today said it best when

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Speaker 9: she started itemizing how much this is going to cost

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Speaker 9: the American people and our economy because of an unnecessary shutdown.

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Speaker 8: So again, I am anxious to be back.

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Speaker 9: I think we're looking at, you know, three spending bills

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Speaker 9: and appropriations, including agriculture. You're looking at legislative and our veterans'

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Speaker 9: bills that hopefully will get passed as well tonight. Now

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Speaker 9: I know that John Thune has promised a vote on

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Speaker 9: extending some of the provisions on healthcare.

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Speaker 8: We'll see if that actually happens in the House.

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Speaker 9: I don't believe that Speaker Johnson has made any such promise,

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Speaker 9: but you know, moving forward, we're going to be here

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Speaker 9: all next week, you know, voting on bills. And again,

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Speaker 9: I am just thankful that a little of our handful

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Speaker 9: of of senior Senate Democrats.

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Speaker 8: Came to their senses.

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Speaker 2: What was it that brought Democrats to the table.

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Speaker 1: Was there anything that really anything of substance that really

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Speaker 1: changed or was it really just them kind of needing.

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Speaker 2: Some type of cop out to say, well, at least

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Speaker 2: we got this.

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Speaker 9: So I did our job. You know, the House did

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Speaker 9: its job at it passed a bill. I have not

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Speaker 9: been any of the meetings with the senators, but if

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Speaker 9: I had to guess, I would say that they were

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Speaker 9: feeling the pain. They were feeling those strong opinions from

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Speaker 9: many of their constituents who were making no harsh harshness

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Speaker 9: in calling them and letting them know.

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Speaker 8: This is ridiculous, open the government back up.

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Speaker 9: I think they realized that this was a fool's effort,

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Speaker 9: was all for nothing, and they were getting calls. So

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Speaker 9: I think constituents should be very proud of yourselves that

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Speaker 9: you actually, you know, were able to move move the

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Speaker 9: dial on a number of your Democrat senators, which is

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Speaker 9: what we've been saying all along, you know, but moving forward,

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Speaker 9: there's a difference. You look at what Republicans have been

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Speaker 9: able to do. Even in the last six weeks, we passed,

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Speaker 9: you know, our one big beautiful building before we left.

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Speaker 8: That is giving something to seniors.

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Speaker 9: It's giving something to people who we know, no tax

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Speaker 9: on tipster, a tax in overtime, giving seniors more dollars.

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Speaker 9: We are opening the economy, we are bringing back businesses

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Speaker 9: from overseas. We're looking at manufacturing, focus on the middle class.

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Speaker 9: These are all things to give people opportunity, more money

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Speaker 9: in their pockets, and more ability to be able to

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Speaker 9: be successful. On the opposite side, you see Democrats vote

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Speaker 9: fifteen times to keep a government shut down. Have not

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Speaker 9: only just federal dollars, you know, money not being paid,

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Speaker 9: federal employees not being paid, but the risk and the

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Speaker 9: harm that's done on the American public, all while complaining

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Speaker 9: that we're not at work. And yet I've been up

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Speaker 9: to DC a number of times in the last six weeks,

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Speaker 9: I had yet to see very many of my Democrats.

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Speaker 9: And for those of them who are taking paychecks.

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Speaker 8: Shame on you.

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Speaker 1: Yeah, I got to say, from the videos that I've

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Speaker 1: seen on social media, doesn't seem like Democrats are exactly

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Speaker 1: camping at the bit to get back to work on capital. Hell,

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Speaker 1: I want to ask you about Speaker Johnson's role in this.

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Speaker 2: I will be quite candid.

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Speaker 1: Over the course of the last month or so, we've

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Speaker 1: had a number of members of.

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Speaker 2: Congress on this show.

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Speaker 1: I've spoken to voters out out in the country who

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Speaker 1: were a little concerned that Speaker Johnson might not hold

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Speaker 1: the line he has. Was that of his own volition

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Speaker 1: or did he need did he need some of you

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Speaker 1: guys to really kind of help him remain tough in

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Speaker 1: all of this.

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Speaker 9: I think I think Speaker Johnson does not get enough

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Speaker 9: credit record it is due. He is a very strong man,

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Speaker 9: He's a very much a man at his word, and

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Speaker 9: I think he read that the rest of the conference

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Speaker 9: that was saying, look, none of us voted for the ACA,

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Speaker 9: none of us are going to vote for the advanced provisions.

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Speaker 8: If you bring this back to the House, it will

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Speaker 8: not pass.

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Speaker 9: But that also being said, you know, Mike Johnson was

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Speaker 9: here when this was all happening.

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Speaker 8: He didn't support those provisions.

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Speaker 9: So I think not only did he do what was

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Speaker 9: good for his constituents, what was good for the for

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Speaker 9: the conference, I think he also did what he believe

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Speaker 9: was best for the country, and for that I applaud him.

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Speaker 9: I think he deserves a lot more credit than a

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Speaker 9: lot of them, and stream media gives him.

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Speaker 1: Absolutely, it's been amazing to say, Texas congress Woman, I'm

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Speaker 1: hearing from your people that.

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Speaker 2: You got to go because you got to go vote.

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Speaker 2: So thank you so much.

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Speaker 8: I'm there.

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Speaker 2: Absolutely, thanks so much for being here.

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Speaker 1: Absolutely, all right, everybody, we're gonna take you very quick ray,

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Speaker 1: but we're going to make it up on the other side.

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Speaker 3: Don't worry.

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Speaker 1: What if the medicine that helped save millions during the

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Speaker 1: pandemic was made mostly in China. It's true about fifty

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Speaker 1: eight percent of the world's ivermectin supply comes from China

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Speaker 10: Welcome to Real America's Voice, Real Minute, your quick look

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Speaker 10: at the powerful stories of faith and freedom inspiring audiences

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Speaker 10: across the nation. Angels Studios presents.

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Speaker 11: I'm Bo Davidson with your Real America's Voice, Real Minute.

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Speaker 11: What was George Way Washington like before he became our

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Speaker 11: Nation's first President? The brand new film Young Washington tells

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Speaker 11: the untold story of Washington's early life, his failures, and

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Speaker 11: how that shaped his path to become the leader that

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Speaker 11: would spawn America's independence. It's a bold, authentic story that

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Speaker 11: is neither woke nor watered down. And it's directed by

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Speaker 11: John Irwin, who brought the world I can only imagine

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Speaker 11: American Underdog and Jesus Revolution. Take a listen to Irwin

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Speaker 11: talk about the project here.

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Speaker 12: First of all, it's an incredible story. It's a story

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Speaker 12: that not many people know. What's interesting about George Washington

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Speaker 12: is it wasn't his greatest victory that defined him as

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Speaker 12: a young man. It was his greatest failure and how

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Speaker 12: he responded to it that made him George Washington.

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Speaker 11: Everyone kind of knows George Washington as our first president,

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Speaker 11: but I few know how he actually got there. The defeats,

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Speaker 11: the misfortune, the critical mistakes at Fort Necessity, dashing all

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Speaker 11: of his hopes and dreams. He resigned his position and

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Speaker 11: became an aid to a general, and in an unreal

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Speaker 11: act of bravery, took fate into his own hands.

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Speaker 12: And Washington, and this act of bravery, with strength that

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Speaker 12: he didn't have, mounted a horse and charged towards the

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Speaker 12: battlefield when.

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Speaker 4: Everyone else was running away.

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Speaker 12: He had three horses shot out from underneath them. He

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Speaker 12: had four bullet holes, two in his jacket, one in

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Speaker 12: his hat, and he just became George Washington in this

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Speaker 12: moment on the field of battle.

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Speaker 11: The idea that there was a divine hand in Washington

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Speaker 11: being saved that fateful day is a key theme of

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Speaker 11: Young Washington's tale. It's one part Pride and Prejudice and

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Speaker 11: one part The Revenant. It's the story of how a

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Speaker 11: man didn't let defeat define him, but instead took that

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Speaker 11: defeat and turned it not only into his own fate,

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Speaker 11: but the fate of this new nation. And the best

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Speaker 11: part of all, it's a true story. Young Washington's release

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Speaker 11: will be on July fourth of next year, which coincides

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Speaker 11: with America's two hundred and fiftieth birthday. You're going to

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Speaker 11: want early access to this film, especially to get ticket

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Speaker 11: sports opening day, and here's how you go do it.

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Speaker 11: Go to Angel dot com slash rev and become a

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Speaker 11: Premium Angel Guild member, which will give you two free

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Speaker 11: tickets to the movie. But in addition, that gives you

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Speaker 11: access to every streaming show or movie on Angel's platform,

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Speaker 11: and you'll also get exclusive behind the scenes access leading

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Speaker 11: up to the premiere. So go to Angel dot com

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Speaker 11: slash Rev today to get that access, follow the journey

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Speaker 11: of Young Washington, and help make this the number one

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Speaker 11: movie of twenty twenty six.

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Speaker 1: Welcome back, everybody to just the news and no noise.

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Speaker 1: That obviously is the House floor. If I had a

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Speaker 1: better vision and I could see my preview scheme, I

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Speaker 1: would tell you exactly what's happening, But.

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Speaker 2: I can't see it that closely.

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Speaker 1: I don't know if the vote is actually underway, but

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Speaker 1: we are obviously going to keep an eye on that

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Speaker 1: and keep you posted.

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Speaker 2: As many you know we've talked about.

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Speaker 1: This is the longest government shutdown in American history, and

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Speaker 1: it may finally come to an end tonight.

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Speaker 2: A deal is on the table.

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Speaker 1: The House is voting on that funding package that could

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Speaker 1: reopen the government and heads straight to President Trump's desk

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Speaker 1: for his signature. So joining us now to talk about

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Speaker 1: this is acting director of the Thomas A. Row Institute

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Speaker 1: for Economic Policy Studies over at the Heritage Foundation, Richard Certon. Richard,

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Speaker 1: thanks so much for being here.

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Speaker 13: It was a pleasure.

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Speaker 4: Thank you.

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Speaker 2: All right. You know, on one hand, I know.

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Speaker 1: That there are a lot of people out there watching

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Speaker 1: the show who say I didn't feel anything. I didn't

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Speaker 1: even notice the government was shut down, but there are

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Speaker 1: Americans who were furloughed, who were working without pay and

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Speaker 1: it definitely affected them. What's the damage to our country

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Speaker 1: going to be and what's the damage for Republicans and Democrats.

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Speaker 13: Yeah, that's a great point. There's also one other burden

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Speaker 13: that had created, which is that there are all of

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Speaker 13: these laws and regulations on the books that our employers are.

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Speaker 13: Businesses have the follow because of over regulation. But if

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Speaker 13: there aren't federal bureaucrats, if the offices aren't open, then

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Speaker 13: businesses have to navigate this as best as they can

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Speaker 13: while taking risks and not being able to get the

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Speaker 13: services they need to comply with the government's own regulations

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Speaker 13: on them. Let alone of course, that air traffic control

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Speaker 13: had to slow down the volume of airplanes going. The

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Speaker 13: list goes on and on. It's going to total tens

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Speaker 13: of billions of dollars all because of like the Democrats

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Speaker 13: wanted one and a half trillion more of your dollars

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Speaker 13: for welfare, mostly for illegal aliens.

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Speaker 8: It's a shame.

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Speaker 2: What are you hearing was in that deal?

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Speaker 1: Because we all heard this kind of like mysterious conversation

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Speaker 1: and deal making was taking place a few nights ago.

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Speaker 1: But I mean Democrats were very recalcitrant when it came

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Speaker 1: to that one point five trillion dollars regarding ACA, and

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Speaker 1: Republicans were just as bligering on the other side, saying

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Speaker 1: no way, Jose, What changed, Well.

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Speaker 13: I think what changes on a sleigh. Democrats got the

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Speaker 13: electro victories they wanted on Tuesday, and they know that

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Speaker 13: the shutdown was starting to go south on them. We

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Speaker 13: were starting to have real critical functions be collapsed and curtailed,

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Speaker 13: and so I think Democrats looked at this and thought

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Speaker 13: they got the political wins they wanted, but they were

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Speaker 13: going to risk too much if they kept going. And

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Speaker 13: of course it allowed people like Schumer, who looks incompetent now,

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Speaker 13: but it allowed him to try to look like he

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Speaker 13: was of the base of his own party. He's in

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Speaker 13: competence of politics and policies a different matter entirely. But look,

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Speaker 13: we don't really know what deal was cut, and you

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Speaker 13: have to keep in mind the funding of this bill

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Speaker 13: will last for less than three months, and so this

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Speaker 13: is just the beginning of all kinds of negotiations between

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Speaker 13: both sides, and we could be back here again in January.

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Speaker 2: My gosh, please please, no, please know.

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Speaker 1: I want to ask you if what Chuck Schumer did work,

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Speaker 1: because we aired some footage at the top of this

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Speaker 1: show of AOC and it kind of seems like she's

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Speaker 1: already run in her mouth like Chuck Schumer betrayed his party.

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Speaker 4: Yeah.

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Speaker 13: Absolutely. Look, I think what he tried to do on

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Speaker 13: the beginning of this is he wanted to have his

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Speaker 13: moderates bail on him, vote to reopen the government and

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Speaker 13: do it in a way where they could go out

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Speaker 13: and say, look, we're reasonable moderates in states that require that,

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Speaker 13: and then for him and a lot of the other

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Speaker 13: old guard to say, no, no, no, we're not establishment,

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Speaker 13: We're part of the hip, part of the party, we're progressives.

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Speaker 13: Were cool, But the truth is, no one thinks out

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Speaker 13: of the Chuck Schumer, and he, in my mind, failed

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Speaker 13: at some of the minutia of how to deal to

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Speaker 13: these negotiations, how to address what was going on. So look,

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Speaker 13: I think that was his play to begin with. I

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Speaker 13: think he was incredibly bad at doing it, and now

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Speaker 13: he's left himself in a position where it looks like

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Speaker 13: he's betrayed all of the sides of his party, and

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Speaker 13: I think he's weakened his own position. So that's I

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Speaker 13: think what he tried to do and the reality of

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Speaker 13: how it went down.

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Speaker 1: If there is any universe out there that dams Chuck

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Speaker 1: Schumer as hip, that is a universe in hell.

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Speaker 2: As far as I'm concerned, he's anything but hip.

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Speaker 1: And he's also anything butt dialed in with the youngest

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Speaker 1: faction of his party because they're all the AOC types

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Speaker 1: and now the Zorun Mom Donnie types. I want to

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Speaker 1: get into the economics of Zorun Mom Donnie because I've

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Speaker 1: seen a lot of these men on the street style

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Speaker 1: videos and most of the people who say they support

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Speaker 1: Zoorn Mamdani, I don't think that they really grasp.

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Speaker 2: What his policies would actually do to that city.

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Speaker 1: But I want to hone in on one of them,

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Speaker 1: the government run grocery stores, because a lot of people

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Speaker 1: have said it never works.

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Speaker 2: It never works. Is you know, breadlines blah blah blah

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Speaker 2: blah blah. Why doesn't it work?

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Speaker 13: So everything about business is incredibly complicated, and I think

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Speaker 13: a lot of people like to pretend that business owners

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Speaker 13: sit back they enjoy their profits. But you know, if

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Speaker 13: you ever walk into a grocery store. There were a

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Speaker 13: million things on the store shelves. They were all pretty

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Speaker 13: affordable if you really think about it. And at the

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Speaker 13: end of the day, it is incredibly complicated to make

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Speaker 13: that work. Look, the government can't even figure out how

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Speaker 13: to fill popples or get your driver's license to you,

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Speaker 13: you know, in a quick amount of time sitting.

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Speaker 4: In a DMV.

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Speaker 13: Do you really think the government and government bureaucrats can

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Speaker 13: figure out the supply chains they get hundreds of thousands

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Speaker 13: of items on store shelves across a region. Absolutely not.

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Speaker 13: Grocery stores already operate at a profit margin of one

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Speaker 13: to three percent, and it's a miracle. In fact, when

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Speaker 13: Boris Seltsen came to visit America when the Soviet Union

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Speaker 13: was collapsing, what made him break down in tears was

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Speaker 13: seeing a functional grocery store because they could not make

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Speaker 13: their work in the Soviet Union. So that's why it

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Speaker 13: always fails and why frankly, this is doomed to fail

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Speaker 13: again in New York.

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Speaker 1: Richard, how quickly can these socialist initiatives that Zorun Mom

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Speaker 1: Donnie wants to employ, how quickly can they happen? Because

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Speaker 1: I talked about this last night on the show. I

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Speaker 1: think a lot of people think that the worst case

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Speaker 1: scenario is that Zorn mom Donnie can do everything that

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Speaker 1: he has said he wants to do. Now, the reality

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Speaker 1: of it is that as a city mayor as big

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Speaker 1: as the city is, I personally don't think that he

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Speaker 1: has the power to do everything that he wants to do.

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Speaker 2: Now.

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Speaker 1: My concern is not that he can do it all.

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Speaker 1: It's that he can't, or that it happens a lot

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Speaker 1: slower than he think than he thinks it will. And

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Speaker 1: then you've got this whole generation of Americans who watched

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Speaker 1: young New Yorkers put Zoron Mom Donnie in power, and

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Speaker 1: they watch the rest of the world who has half

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Speaker 1: a brain that functions in economy say it's going to

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Speaker 1: destroy New York City. And those young people are going

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Speaker 1: to say, see, you told us that this was going

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Speaker 1: to happen, that it was going to destroy the city,

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Speaker 1: and it didn't. And then we're going to be in

444
00:21:45,320 --> 00:21:48,600
Speaker 1: a scenario where they use that as a campaign point.

445
00:21:48,640 --> 00:21:49,960
Speaker 2: When you push people.

446
00:21:49,720 --> 00:21:53,120
Speaker 1: With a socialist agenda into offices that have even more

447
00:21:53,160 --> 00:21:55,760
Speaker 1: power and can actually do these things quickly.

448
00:21:56,880 --> 00:21:58,600
Speaker 13: A man I think you hit the nail right on

449
00:21:58,600 --> 00:22:01,960
Speaker 13: the head there. So to things in particular, both the

450
00:22:02,000 --> 00:22:04,719
Speaker 13: tax increases he wants to do, which if he could do,

451
00:22:05,160 --> 00:22:08,520
Speaker 13: would be crushing for New York businesses, and then the

452
00:22:08,600 --> 00:22:12,040
Speaker 13: debts levels he wants to incur the fund all these programs,

453
00:22:12,480 --> 00:22:16,040
Speaker 13: both of those are capped by the state government, and

454
00:22:16,080 --> 00:22:18,840
Speaker 13: so he would need the state government, the governor, the

455
00:22:18,880 --> 00:22:22,480
Speaker 13: legislature to sign off on these plans before he could

456
00:22:22,520 --> 00:22:25,280
Speaker 13: do them. So it's not to say he won't do them,

457
00:22:25,680 --> 00:22:28,199
Speaker 13: but that's a much harder hurdle to get through the

458
00:22:28,240 --> 00:22:30,720
Speaker 13: state government probably won't let him do in full what

459
00:22:30,800 --> 00:22:33,760
Speaker 13: he's talking about. And you're right, this is going to

460
00:22:33,800 --> 00:22:37,640
Speaker 13: be a rallying cry, a political campaign strategy. But he'll

461
00:22:37,680 --> 00:22:40,360
Speaker 13: fail to meet all of his promises, and I'll use

462
00:22:40,400 --> 00:22:43,320
Speaker 13: his charm and false words to pretend as if he

463
00:22:43,440 --> 00:22:46,480
Speaker 13: got these things done. But make no mistake, the things

464
00:22:46,480 --> 00:22:51,160
Speaker 13: he will do will be disasters. They'll raise prices, destroy businesses,

465
00:22:51,640 --> 00:22:56,080
Speaker 13: decline job opportunities. And you're right, the idea disease of

466
00:22:56,119 --> 00:22:58,760
Speaker 13: socialism spreading, that's the real threat here.

467
00:23:00,080 --> 00:23:03,240
Speaker 1: Yeah, and it's spreading among the youngest generation. And I

468
00:23:03,280 --> 00:23:06,200
Speaker 1: think because there is an I don't know if it's

469
00:23:06,200 --> 00:23:07,320
Speaker 1: an ideas vacuum.

470
00:23:07,320 --> 00:23:09,720
Speaker 2: I don't necessarily think it's an ideas vacuum.

471
00:23:09,720 --> 00:23:12,440
Speaker 1: But there is a vacuum of some sort where young

472
00:23:12,480 --> 00:23:16,080
Speaker 1: Americans feel like they cannot get ahead. They cannot get

473
00:23:16,240 --> 00:23:19,480
Speaker 1: a leg up when it comes to their profession, when

474
00:23:19,480 --> 00:23:21,600
Speaker 1: it comes to paying off their student debt, when it

475
00:23:21,640 --> 00:23:23,920
Speaker 1: comes to buying a home, when it comes to owning

476
00:23:23,960 --> 00:23:29,120
Speaker 1: a car. They feel like the older generations utterly screwed them.

477
00:23:29,160 --> 00:23:32,520
Speaker 1: For lack of more appropriate terms, the President Trump floats

478
00:23:32,600 --> 00:23:34,879
Speaker 1: this idea of a fifty year mortgage, and I'm seeing

479
00:23:35,200 --> 00:23:36,480
Speaker 1: a few different reactions.

480
00:23:36,800 --> 00:23:38,480
Speaker 2: The dichotomy between.

481
00:23:38,400 --> 00:23:40,480
Speaker 1: Those who are saying, well, this is basically just a

482
00:23:40,520 --> 00:23:43,919
Speaker 1: fifty year rental agreement. You're just you don't necessarily own it,

483
00:23:43,960 --> 00:23:46,040
Speaker 1: but you're locked in for fifty years to pay off

484
00:23:46,040 --> 00:23:48,320
Speaker 1: something that you're not actually sitting on as an owner.

485
00:23:48,720 --> 00:23:49,720
Speaker 2: And then I hear a lot of.

486
00:23:49,640 --> 00:23:51,560
Speaker 1: People who say, well, yeah, but you've got such a

487
00:23:51,640 --> 00:23:54,359
Speaker 1: demoralized younger generation. And by the way, it's not just

488
00:23:54,440 --> 00:23:55,840
Speaker 1: jen Alpha or Zoomers.

489
00:23:55,520 --> 00:23:56,480
Speaker 2: It's millennials too.

490
00:23:56,880 --> 00:23:59,560
Speaker 1: So you've got these three youngest generations who feel like

491
00:23:59,600 --> 00:24:03,119
Speaker 1: they can not participate in the housing economy, and so

492
00:24:03,280 --> 00:24:06,120
Speaker 1: maybe this is a way to kind of dip their

493
00:24:06,160 --> 00:24:08,480
Speaker 1: toes in the water a little so that someday they

494
00:24:08,520 --> 00:24:11,960
Speaker 1: can achieve homeownership. But maybe there is maybe between these

495
00:24:12,000 --> 00:24:13,040
Speaker 1: two is the truth.

496
00:24:14,000 --> 00:24:15,880
Speaker 2: But does it destroy our economy?

497
00:24:17,080 --> 00:24:19,439
Speaker 13: So here's the crux of this, which is that we

498
00:24:19,560 --> 00:24:21,919
Speaker 13: have as a supply problem, which is that we have

499
00:24:21,920 --> 00:24:27,200
Speaker 13: an economy that's overtaxed, overregulated. And so the reason why houses, cars,

500
00:24:27,280 --> 00:24:30,480
Speaker 13: all these other things are expensive is this very few

501
00:24:30,520 --> 00:24:33,040
Speaker 13: of them because we have made it physically so hard

502
00:24:33,080 --> 00:24:35,120
Speaker 13: to build more of them. But you know, a lot

503
00:24:35,160 --> 00:24:39,800
Speaker 13: of people, especially younger people, are looking for frankly false promises.

504
00:24:39,840 --> 00:24:43,520
Speaker 13: They want to do something, and so when a politician says, look,

505
00:24:43,600 --> 00:24:46,760
Speaker 13: I'm going to do something that papers over the problem,

506
00:24:47,040 --> 00:24:49,320
Speaker 13: that makes it look as if there's more stuff when

507
00:24:49,320 --> 00:24:54,320
Speaker 13: there really isn't, they're increasingly going forward because it feels right. Look,

508
00:24:54,359 --> 00:24:56,600
Speaker 13: there are a few regulatory things that we could change

509
00:24:56,680 --> 00:24:59,359
Speaker 13: that we should change that make it easier for banks

510
00:24:59,400 --> 00:25:02,520
Speaker 13: to offer fifty year mortgages. But to be fair, the

511
00:25:02,560 --> 00:25:05,359
Speaker 13: proposal on the table right now would be for the

512
00:25:05,400 --> 00:25:08,880
Speaker 13: government to subsidize them in a way that probably would

513
00:25:09,040 --> 00:25:12,680
Speaker 13: raise house prices more than whatever the value would be

514
00:25:12,920 --> 00:25:16,600
Speaker 13: of getting the interest rates down and getting the term

515
00:25:16,720 --> 00:25:19,399
Speaker 13: length longer. You know, keep in mind the difference between

516
00:25:19,400 --> 00:25:21,880
Speaker 13: a thirty year and a fifty year mortgage is only

517
00:25:21,960 --> 00:25:25,679
Speaker 13: about a ten or so percent cut in monthly expenditures.

518
00:25:25,960 --> 00:25:29,200
Speaker 13: And yes, having no equity in the house itself. It's

519
00:25:29,280 --> 00:25:31,080
Speaker 13: mostly a false promise.

520
00:25:32,240 --> 00:25:35,520
Speaker 1: Artificially inflating prices. What could possibly go wrong? When have

521
00:25:35,600 --> 00:25:39,440
Speaker 1: we ever seen that? Crash and burn a lot? Thank

522
00:25:39,440 --> 00:25:41,080
Speaker 1: you so much for being here, Richard. This has been

523
00:25:41,080 --> 00:25:43,320
Speaker 1: such a great conversation. You have such a great outlook

524
00:25:43,359 --> 00:25:45,640
Speaker 1: on all of this, very very pragmatic.

525
00:25:45,720 --> 00:25:46,840
Speaker 2: Thanks so much for being here.

526
00:25:47,480 --> 00:25:48,119
Speaker 3: It was a pleasure.

527
00:25:48,160 --> 00:25:48,359
Speaker 4: Thank you.

528
00:25:49,600 --> 00:25:51,960
Speaker 1: Likewise, all right, everybody, coming up, we are going to

529
00:25:52,000 --> 00:25:56,120
Speaker 1: discuss the rapid development of generative AI technology and how

530
00:25:56,160 --> 00:25:59,639
Speaker 1: some companies are asking for government cooperation. More on that

531
00:25:59,680 --> 00:26:00,720
Speaker 1: after a quick break.

532
00:26:13,880 --> 00:26:16,399
Speaker 2: Welcome back everybody to just the news, no noise.

533
00:26:16,480 --> 00:26:19,600
Speaker 1: The topic of artificial intelligence has been a huge policy

534
00:26:19,640 --> 00:26:22,800
Speaker 1: point for the Trump administration as the United States looks

535
00:26:22,840 --> 00:26:25,600
Speaker 1: to win the AI war against China. But how much

536
00:26:25,960 --> 00:26:29,359
Speaker 1: should the government be involved? For example, Sam Altman, Open

537
00:26:29,440 --> 00:26:34,480
Speaker 1: AI's CEO, suggested guaranteed government loans for chip plants. Now,

538
00:26:34,560 --> 00:26:36,400
Speaker 1: is that a good idea to make some of these

539
00:26:36,440 --> 00:26:38,680
Speaker 1: AI companies too big to fail?

540
00:26:39,359 --> 00:26:41,040
Speaker 2: Joining us now to discuss.

541
00:26:40,680 --> 00:26:43,600
Speaker 1: That and more is senior Research Associate for the Center

542
00:26:43,640 --> 00:26:47,360
Speaker 1: for Technology and the Human Person at the Heritage Foundation,

543
00:26:47,520 --> 00:26:48,320
Speaker 1: Daniel Cochrane.

544
00:26:48,440 --> 00:26:49,880
Speaker 2: Daniel, thanks so much for being here.

545
00:26:50,640 --> 00:26:52,199
Speaker 14: Great to be here, Thanks for having me.

546
00:26:53,280 --> 00:26:54,160
Speaker 2: Absolutely all right.

547
00:26:54,160 --> 00:26:56,359
Speaker 1: I want to start with some of the flashier headlines

548
00:26:56,400 --> 00:26:59,800
Speaker 1: regarding AI because I saw that IPSOS ran a pulse.

549
00:27:00,080 --> 00:27:01,720
Speaker 1: So first of all, for our audience, there is a

550
00:27:01,760 --> 00:27:03,639
Speaker 1: country song that is at the top of the country

551
00:27:03,720 --> 00:27:08,639
Speaker 1: charts that sounds there is practically no distinction for me

552
00:27:08,800 --> 00:27:12,880
Speaker 1: between AI and a human voice. And then IPSOS did

553
00:27:12,880 --> 00:27:15,959
Speaker 1: this poll where ninety seven percent could not distinguish between

554
00:27:16,040 --> 00:27:19,640
Speaker 1: music entirely generated by AI.

555
00:27:19,080 --> 00:27:20,560
Speaker 2: And human created music.

556
00:27:20,600 --> 00:27:22,240
Speaker 1: And then on top of that, we've got the news

557
00:27:22,280 --> 00:27:25,520
Speaker 1: today that Michael Caine and Matthew McConaughey, two very iconic

558
00:27:25,600 --> 00:27:28,920
Speaker 1: voices in Hollywood, they are working with an AI company

559
00:27:28,960 --> 00:27:32,560
Speaker 1: to duplicate their voice. There is so much happening. Look,

560
00:27:32,600 --> 00:27:34,639
Speaker 1: that's all in the entertainment space. And I know that

561
00:27:34,640 --> 00:27:38,400
Speaker 1: that seems frivolous, but to me, it augurs the takeover

562
00:27:38,560 --> 00:27:40,320
Speaker 1: of a lot of different industries.

563
00:27:40,680 --> 00:27:43,880
Speaker 14: Your take, Well, I think it's really critical to note

564
00:27:43,880 --> 00:27:47,439
Speaker 14: that we've crossed the threshold. While AI is able to

565
00:27:47,560 --> 00:27:53,399
Speaker 14: create and produce videos, music, even the likeness of various

566
00:27:53,440 --> 00:27:57,840
Speaker 14: actors that are indistinguishable from real life, it creates a

567
00:27:57,880 --> 00:28:00,919
Speaker 14: lot of opportunities, but a lot of challenge. And one

568
00:28:00,960 --> 00:28:03,520
Speaker 14: of those challenges is what does this mean for elections?

569
00:28:03,560 --> 00:28:06,159
Speaker 14: You know, we often talk about, you know, in a

570
00:28:06,240 --> 00:28:10,840
Speaker 14: day when elections are decided, usually by slim margin. Sometimes

571
00:28:11,200 --> 00:28:15,280
Speaker 14: here in Virginia, for example, the last gubernatorial race was

572
00:28:15,600 --> 00:28:21,160
Speaker 14: largely influenced by offhand remarks by the then Democratic candidate

573
00:28:21,200 --> 00:28:24,639
Speaker 14: for governor who was essentially bemoaning the fact that parents

574
00:28:24,720 --> 00:28:28,320
Speaker 14: wanted so much say in their kids' education, and that

575
00:28:28,359 --> 00:28:32,000
Speaker 14: really boosted his opponent and current governor, Glenn Youngkin. You know,

576
00:28:32,040 --> 00:28:35,280
Speaker 14: you imagine a situation where an AI essentially is used

577
00:28:35,280 --> 00:28:39,560
Speaker 14: to create false statements and people really don't know what's

578
00:28:39,600 --> 00:28:41,800
Speaker 14: true and what's full. So I think we're entering a

579
00:28:41,840 --> 00:28:45,280
Speaker 14: stage of a sort of an unprecedented set of challenges

580
00:28:45,280 --> 00:28:47,400
Speaker 14: where we're going to have to create new systems and

581
00:28:47,480 --> 00:28:51,520
Speaker 14: institutions to reckon with what might be called a post

582
00:28:51,520 --> 00:28:56,120
Speaker 14: truth world created by this general genitive artificial intelligence. It's

583
00:28:56,160 --> 00:28:58,520
Speaker 14: really a pressing moment that we face.

584
00:28:59,760 --> 00:29:03,120
Speaker 1: Yeah, well, and there's the governance and the regulation side

585
00:29:03,120 --> 00:29:04,480
Speaker 1: of it that I want to get in a little

586
00:29:04,520 --> 00:29:06,480
Speaker 1: bit deeper with you in a moment. But there's also

587
00:29:07,000 --> 00:29:10,320
Speaker 1: an infrastructure that I mean, Sam Altman, I was just

588
00:29:10,360 --> 00:29:12,480
Speaker 1: talking about this at the top, Sam Altman suggesting that

589
00:29:12,520 --> 00:29:14,959
Speaker 1: there should be guaranteed loans for these companies. And then

590
00:29:15,000 --> 00:29:18,720
Speaker 1: Governor Ronda Santis in Florida responded to a New York

591
00:29:18,760 --> 00:29:22,480
Speaker 1: Times headline that was referencing this praising it as too

592
00:29:22,480 --> 00:29:22,880
Speaker 1: big to.

593
00:29:22,840 --> 00:29:24,120
Speaker 2: Fail, and and.

594
00:29:25,680 --> 00:29:28,120
Speaker 1: Uh, Ronda Santis brought up the point the point that

595
00:29:28,200 --> 00:29:32,240
Speaker 1: this is not a profit positive company. So why on

596
00:29:32,280 --> 00:29:34,840
Speaker 1: earth would we would we make them too big to

597
00:29:34,920 --> 00:29:37,440
Speaker 1: fail and offer so much assistance from the government, Because

598
00:29:37,520 --> 00:29:39,680
Speaker 1: as far as I'm concerned, there are plenty of companies

599
00:29:39,720 --> 00:29:42,640
Speaker 1: here on US soil who do the same thing.

600
00:29:42,720 --> 00:29:42,960
Speaker 2: Right.

601
00:29:43,920 --> 00:29:46,320
Speaker 14: Well, Look, this is make no mistake. This is about

602
00:29:46,360 --> 00:29:50,200
Speaker 14: monopolizing the market and having the US federal government pay

603
00:29:50,280 --> 00:29:53,280
Speaker 14: for it. We've seen this before in other industries like banking.

604
00:29:53,600 --> 00:29:55,560
Speaker 14: You know, we had the too big to fail banks

605
00:29:55,560 --> 00:29:58,120
Speaker 14: and we saw how that ended up. You had banks

606
00:29:58,160 --> 00:30:02,240
Speaker 14: that took frivolous made frivlge list investments and ended up

607
00:30:02,560 --> 00:30:05,680
Speaker 14: tanking the economy and costing the taxpayers hundreds of billions

608
00:30:05,720 --> 00:30:08,320
Speaker 14: of dollars. And here you have Sam Altman who's spent

609
00:30:08,400 --> 00:30:11,800
Speaker 14: tens of billions of dollars in AI infrastructure and essentially

610
00:30:11,840 --> 00:30:14,000
Speaker 14: wants the government to back him. And I think this

611
00:30:14,120 --> 00:30:18,400
Speaker 14: is an attempt of regulatory captured by these large AI companies.

612
00:30:18,400 --> 00:30:20,280
Speaker 14: They want to get in bed with the federal government.

613
00:30:20,320 --> 00:30:22,680
Speaker 14: You know, there's all this the rhetoric about the big

614
00:30:22,720 --> 00:30:27,240
Speaker 14: AI companies. They're really they don't want regulation, And in fact,

615
00:30:27,280 --> 00:30:30,360
Speaker 14: what the big AI companies want is regulation to lock

616
00:30:30,400 --> 00:30:34,000
Speaker 14: in their advantages and ensure that they can continue to

617
00:30:34,160 --> 00:30:37,720
Speaker 14: raise capital without and I think you're right to mention

618
00:30:38,040 --> 00:30:40,320
Speaker 14: without showing that they can make a profit. All of

619
00:30:40,320 --> 00:30:44,320
Speaker 14: these AI companies, including open Ai, they operate at multi

620
00:30:44,320 --> 00:30:48,320
Speaker 14: billion dollar losses and now their investors are coming are

621
00:30:48,360 --> 00:30:50,800
Speaker 14: coming to call, and they're saying, look, we want our

622
00:30:50,880 --> 00:30:54,720
Speaker 14: money back, and the AI industry is like, their response

623
00:30:54,800 --> 00:30:56,880
Speaker 14: that is, well, let's get the government involved, and let's

624
00:30:56,920 --> 00:31:00,560
Speaker 14: get the government to guarantee loans to keep the capital flowing.

625
00:31:00,920 --> 00:31:04,000
Speaker 14: But that's not how competitive markets work, and that's certainly

626
00:31:04,040 --> 00:31:07,480
Speaker 14: not what's going to fuel the next stage of American innovation.

627
00:31:07,560 --> 00:31:10,560
Speaker 14: We need more competition, we need more choice. We need to,

628
00:31:11,400 --> 00:31:15,200
Speaker 14: I think, really chip away at these AI monopolies before

629
00:31:15,200 --> 00:31:18,200
Speaker 14: they're able to do what the last generation of social

630
00:31:18,240 --> 00:31:21,560
Speaker 14: media companies have, which is, you know, really control a

631
00:31:21,680 --> 00:31:25,200
Speaker 14: huge part of our information ecosystem. We saw how damaging

632
00:31:25,240 --> 00:31:28,440
Speaker 14: that's been to conservatives and all kinds of you know, values,

633
00:31:28,680 --> 00:31:32,120
Speaker 14: especially kids safety, with just a handful of big companies

634
00:31:32,320 --> 00:31:34,480
Speaker 14: controlling our information space. And we're on the verge of

635
00:31:34,480 --> 00:31:36,520
Speaker 14: seeing that again in AI. So I think that's something

636
00:31:36,720 --> 00:31:40,240
Speaker 14: that policy makers need to really focus in on, and

637
00:31:40,280 --> 00:31:42,960
Speaker 14: we can't allow a repeat of what happened with social

638
00:31:43,000 --> 00:31:43,600
Speaker 14: media here.

639
00:31:45,040 --> 00:31:47,560
Speaker 1: Yeah, what is the ideal scenario when it comes to

640
00:31:47,600 --> 00:31:50,400
Speaker 1: actions that policy makers can take? I mean, I would

641
00:31:50,400 --> 00:31:54,200
Speaker 1: profer the notion that anytime government gets involved, I would

642
00:31:54,240 --> 00:31:55,160
Speaker 1: say ninety nine point.

643
00:31:55,000 --> 00:31:56,640
Speaker 2: Nine percent of the time, it's not a good thing.

644
00:31:57,080 --> 00:31:59,080
Speaker 1: But when it comes to regulation of this, when it

645
00:31:59,120 --> 00:32:02,840
Speaker 1: comes to governance within the AI space, and look, I

646
00:32:02,880 --> 00:32:05,840
Speaker 1: know this is a very very large conversation, it's also

647
00:32:06,040 --> 00:32:09,480
Speaker 1: very nuanced, but how much government involvement should there be.

648
00:32:10,640 --> 00:32:13,200
Speaker 14: Well, look, I think part of it is government shouldn't

649
00:32:13,200 --> 00:32:15,440
Speaker 14: be getting in bed with the biggest AI companies. And

650
00:32:15,480 --> 00:32:18,800
Speaker 14: I think that David Sachs that the President's ais are

651
00:32:19,000 --> 00:32:23,400
Speaker 14: was right to rebuff Sam Altman and and open Ai

652
00:32:23,520 --> 00:32:25,840
Speaker 14: for their overtures or trying to get the federal government

653
00:32:25,880 --> 00:32:28,800
Speaker 14: to back them. I think that's that's a good step

654
00:32:28,800 --> 00:32:31,760
Speaker 14: in the right direction, but ultimately Congress needs to act. Look,

655
00:32:31,800 --> 00:32:34,200
Speaker 14: we've been talking about rules of the road for AI.

656
00:32:34,320 --> 00:32:37,600
Speaker 14: You talked earlier about how AI is creating videos and

657
00:32:37,640 --> 00:32:41,160
Speaker 14: images that are indistinguishable from real life events, and we

658
00:32:41,200 --> 00:32:44,280
Speaker 14: need legislation. We need rules to kind of distinguish like

659
00:32:44,520 --> 00:32:47,640
Speaker 14: providence of where images and data is coming from. We

660
00:32:47,720 --> 00:32:50,640
Speaker 14: need rules of the road to ensure that AI systems

661
00:32:50,640 --> 00:32:53,360
Speaker 14: are aligned with the values of users. And we also

662
00:32:53,400 --> 00:32:56,080
Speaker 14: need to address the most acute harms. You know, Open

663
00:32:56,120 --> 00:32:58,560
Speaker 14: ai has been hit with several lawsuits in the in

664
00:32:58,600 --> 00:33:01,920
Speaker 14: the in the past couple of days from adults that

665
00:33:01,960 --> 00:33:06,840
Speaker 14: are suffering from psychosis. Because these AI models are designed

666
00:33:06,880 --> 00:33:10,480
Speaker 14: to be sick, authentic. They're designed to feed them essentially

667
00:33:10,560 --> 00:33:14,360
Speaker 14: digital fentanyl, to keep them engaged, to keep them you know,

668
00:33:14,680 --> 00:33:17,800
Speaker 14: like you know, going down these rabbit holes and these

669
00:33:17,880 --> 00:33:22,840
Speaker 14: very strange conversations and all kinds of like spiritual sexual topics,

670
00:33:23,200 --> 00:33:25,680
Speaker 14: and and people are suing these companies saying, look, these

671
00:33:25,680 --> 00:33:27,920
Speaker 14: are destroying our lives and the companies need to be

672
00:33:27,920 --> 00:33:31,640
Speaker 14: held accountable. Think also that Sam Altman, he said, look

673
00:33:31,640 --> 00:33:35,760
Speaker 14: in the new year, he wants open aies chat GBT

674
00:33:35,920 --> 00:33:38,440
Speaker 14: to be able to engage in Eurotic conversations. So they're

675
00:33:38,640 --> 00:33:42,440
Speaker 14: they're really not pursuing the kinds of earth breaking advances

676
00:33:42,480 --> 00:33:45,719
Speaker 14: that they're promising the American public. They're they're pursuing digital

677
00:33:45,720 --> 00:33:48,680
Speaker 14: fentanyl that makes them a quick profit, but it's rending

678
00:33:48,720 --> 00:33:52,360
Speaker 14: America's social fabric. And again we're at risk of seeing

679
00:33:52,360 --> 00:33:54,280
Speaker 14: a repeat here of what we saw with the social

680
00:33:54,360 --> 00:33:56,600
Speaker 14: media companies, and we can't allow that to happen.

681
00:33:57,800 --> 00:34:02,400
Speaker 1: Yeah, Daniel, I want to ask you about implications on elections.

682
00:34:03,800 --> 00:34:05,720
Speaker 1: The twenty twenty two election. I think it was the

683
00:34:05,760 --> 00:34:10,239
Speaker 1: midterm elections. I had a sense that that was basically

684
00:34:10,239 --> 00:34:13,600
Speaker 1: the last pre election. And by that I mean we

685
00:34:13,640 --> 00:34:16,480
Speaker 1: didn't have a lot of videos out there floating around

686
00:34:17,040 --> 00:34:22,160
Speaker 1: dubious maybe, but videos nonetheless of certain politicians saying things

687
00:34:22,239 --> 00:34:24,920
Speaker 1: or not saying things or whatever. My concern is that

688
00:34:24,960 --> 00:34:28,080
Speaker 1: we are now in an era where if a damaging

689
00:34:28,200 --> 00:34:31,520
Speaker 1: video comes out about a candidate, they can just say

690
00:34:31,520 --> 00:34:34,239
Speaker 1: it's AI, it's not real. Or if something good comes out,

691
00:34:34,280 --> 00:34:37,719
Speaker 1: then the opponent can say that's AI, that's not real.

692
00:34:38,120 --> 00:34:42,040
Speaker 1: Have we experienced our last clean election and is this

693
00:34:42,200 --> 00:34:43,760
Speaker 1: just how it's going to be going forward?

694
00:34:44,920 --> 00:34:46,919
Speaker 14: I think it's hard to tell. And this is why

695
00:34:47,080 --> 00:34:50,320
Speaker 14: I mean, this is an unprecedented challenge because never before

696
00:34:50,360 --> 00:34:53,000
Speaker 14: have you had the ability to create lifelike videos and

697
00:34:53,040 --> 00:34:56,840
Speaker 14: images that are indistinguishable from real life people and events.

698
00:34:57,160 --> 00:34:59,919
Speaker 14: And now, as you sited at the top of the hour,

699
00:35:00,120 --> 00:35:03,520
Speaker 14: you know how how people can't distinguish between AI generated

700
00:35:03,600 --> 00:35:06,680
Speaker 14: music and human created music. We're going to have to

701
00:35:06,719 --> 00:35:11,200
Speaker 14: create systems and institutions that allow us to verify the

702
00:35:11,239 --> 00:35:14,320
Speaker 14: authenticity of content, and I think that's going to take place,

703
00:35:14,520 --> 00:35:17,400
Speaker 14: hopefully in a decentralized manner. What we want to avoid

704
00:35:17,960 --> 00:35:22,720
Speaker 14: our proposals around a digitalized d system, around centralizing control

705
00:35:22,760 --> 00:35:24,640
Speaker 14: of AI even further in the hands of the government,

706
00:35:24,680 --> 00:35:27,120
Speaker 14: want to avoid that. But at some level we're going

707
00:35:27,200 --> 00:35:29,360
Speaker 14: to have to make sure that our information can be

708
00:35:29,440 --> 00:35:31,799
Speaker 14: trusted and that we know if if AI had a

709
00:35:31,840 --> 00:35:34,360
Speaker 14: handed generating and that's going to that's going to require

710
00:35:34,640 --> 00:35:38,400
Speaker 14: a multiplicity I think of different approaches, but ultimately, what

711
00:35:38,400 --> 00:35:42,080
Speaker 14: we're going to have to do is decentralize our information ecosystem.

712
00:35:42,120 --> 00:35:44,920
Speaker 14: The problem is that AI is being deployed in an

713
00:35:44,920 --> 00:35:48,560
Speaker 14: information environment that is highly centralized. It's controlled by just

714
00:35:48,640 --> 00:35:51,839
Speaker 14: seven companies. Again, this is social media two point zero.

715
00:35:52,200 --> 00:35:55,879
Speaker 14: And when you have these these these centralized ecosystems, these

716
00:35:55,880 --> 00:36:00,520
Speaker 14: centralized information ecosystems, all the harms can spread very quickly.

717
00:36:00,560 --> 00:36:03,640
Speaker 14: We see that with how social media is harming kids,

718
00:36:03,680 --> 00:36:07,200
Speaker 14: the most toxic content spreading everywhere, all at once online.

719
00:36:07,320 --> 00:36:09,960
Speaker 14: That's the same with AI. If you have one place

720
00:36:10,239 --> 00:36:14,719
Speaker 14: of gathering your information, it's very easy to flood that

721
00:36:14,840 --> 00:36:18,520
Speaker 14: space with fake fake videos as an example. And so

722
00:36:18,560 --> 00:36:21,640
Speaker 14: we're going to ultimately have to decentralize and get away

723
00:36:21,920 --> 00:36:25,759
Speaker 14: from this top down approached information and really I think

724
00:36:25,840 --> 00:36:29,000
Speaker 14: look to more local sources and trusted communities. I think

725
00:36:29,000 --> 00:36:31,000
Speaker 14: that's the ultimate answer to this, but it's going to

726
00:36:31,000 --> 00:36:32,200
Speaker 14: take some time to get there.

727
00:36:33,280 --> 00:36:35,960
Speaker 1: Yeah, before I let you go and forgive the reductive

728
00:36:36,040 --> 00:36:38,320
Speaker 1: nature of my analogy, but I was a Singing Server

729
00:36:38,440 --> 00:36:41,000
Speaker 1: for thirteen years. So I think back on my time

730
00:36:41,040 --> 00:36:43,560
Speaker 1: there and there were many times when I had a

731
00:36:43,560 --> 00:36:45,440
Speaker 1: fifty dollars bill or one hundred dollars bill that we

732
00:36:45,480 --> 00:36:47,279
Speaker 1: had to slide under that light. We had a little

733
00:36:47,320 --> 00:36:48,960
Speaker 1: marker that we could write on it to see if

734
00:36:48,960 --> 00:36:52,239
Speaker 1: it was counterfeit money. Is there ever going to be

735
00:36:52,239 --> 00:36:56,000
Speaker 1: any type of technology out there that is consumer friendly,

736
00:36:56,120 --> 00:36:59,200
Speaker 1: not just on a commercial level, but for your everyday consumer,

737
00:37:00,080 --> 00:37:03,319
Speaker 1: some type of software uploaded onto phones or laptops or

738
00:37:03,320 --> 00:37:07,000
Speaker 1: tablets or whatever that can immediately identify something as AI.

739
00:37:08,320 --> 00:37:10,440
Speaker 14: Well, I think there's going to be a multiplicity of

740
00:37:10,520 --> 00:37:13,680
Speaker 14: tools like that. The question is how reliable they'll be,

741
00:37:14,200 --> 00:37:16,680
Speaker 14: and that remains to be seen. Look in the past,

742
00:37:16,760 --> 00:37:20,560
Speaker 14: we developed hash databases right to deal with as an example,

743
00:37:20,680 --> 00:37:24,480
Speaker 14: terrorist content on social media platforms like YouTube, and I

744
00:37:24,480 --> 00:37:29,640
Speaker 14: imagine similar solutions in the future for detecting fake AI content.

745
00:37:29,920 --> 00:37:32,520
Speaker 14: But again, it's going to require an all of the

746
00:37:32,560 --> 00:37:35,120
Speaker 14: above approach. There's not going to be one solution, and

747
00:37:35,239 --> 00:37:38,560
Speaker 14: ultimately it's a very hard problem when this technology is

748
00:37:38,600 --> 00:37:41,440
Speaker 14: being democratized in the hands of so many people and

749
00:37:41,520 --> 00:37:44,959
Speaker 14: pushed by companies that have an incentive candidly to keep

750
00:37:45,040 --> 00:37:48,560
Speaker 14: people engaged in these fake virtual realities. I think that's

751
00:37:48,640 --> 00:37:51,680
Speaker 14: the sad, the sad truth of where AI is today.

752
00:37:52,760 --> 00:37:53,720
Speaker 2: Yeah, quite literally.

753
00:37:53,760 --> 00:37:56,799
Speaker 1: I vested interest Senior research associate for the Center for

754
00:37:56,880 --> 00:38:00,560
Speaker 1: Technology and a human person at the Heritage Foundation, Day Cochrane,

755
00:38:00,560 --> 00:38:00,960
Speaker 1: thanks for.

756
00:38:00,920 --> 00:38:01,680
Speaker 2: Being with us tonight.

757
00:38:02,080 --> 00:38:05,560
Speaker 1: Thank you, absolutely all right, everybody, after the break, the

758
00:38:05,640 --> 00:38:08,719
Speaker 1: media has finally come around to blaming Democrats just a

759
00:38:08,800 --> 00:38:10,520
Speaker 1: little bit for the shutdown.

760
00:38:10,560 --> 00:38:12,799
Speaker 2: So what on earth took them so long? We're going

761
00:38:12,880 --> 00:38:14,239
Speaker 2: to break all of that down after this.

762
00:38:26,440 --> 00:38:31,120
Speaker 1: Well, this should surprise absolutely no one. A new Newsbuster's

763
00:38:31,239 --> 00:38:34,440
Speaker 1: study finds that the mainstream media once again covered for

764
00:38:34,520 --> 00:38:39,280
Speaker 1: Democrats during the government shutdown. Major TV networks barely mentioned

765
00:38:39,320 --> 00:38:42,120
Speaker 1: that it was Democrats who caused the crisis, and when.

766
00:38:41,920 --> 00:38:44,719
Speaker 2: They finally did, it was only after a.

767
00:38:44,680 --> 00:38:47,400
Speaker 1: Deal was already in sight, of course. So joining me

768
00:38:47,480 --> 00:38:50,640
Speaker 1: now is MRC senior research analyst Bill Degastino.

769
00:38:50,680 --> 00:38:52,200
Speaker 2: Bill, thanks so much for being here.

770
00:38:52,200 --> 00:38:54,839
Speaker 8: Great to have you, Yeah, great to be on. Good

771
00:38:54,840 --> 00:38:55,239
Speaker 8: to see it.

772
00:38:56,440 --> 00:38:59,759
Speaker 1: Well, listen, I've seen this limited hangout situation with the

773
00:38:59,800 --> 00:39:04,000
Speaker 1: me and they. Finally, it seems like with practically any story,

774
00:39:04,400 --> 00:39:06,759
Speaker 1: if it's damaging for Democrats. They don't cover it until

775
00:39:06,760 --> 00:39:08,680
Speaker 1: the very end, and then they just barely kind of

776
00:39:08,719 --> 00:39:10,560
Speaker 1: dip their toes in just so they can say, well,

777
00:39:10,600 --> 00:39:12,360
Speaker 1: it wasn't zero coverage.

778
00:39:13,800 --> 00:39:18,319
Speaker 15: Right, right, So this shutdown has been very peculiar from

779
00:39:18,560 --> 00:39:22,400
Speaker 15: like a broadcast network standpoint. For the last three broadcasts

780
00:39:22,480 --> 00:39:25,319
Speaker 15: or sorry, the last three government shutdowns that happened in

781
00:39:25,360 --> 00:39:29,960
Speaker 15: recent memory that we looked at, they've basically completely unanimously

782
00:39:30,000 --> 00:39:34,719
Speaker 15: blamed Republicans, or there were scattered moments where they would

783
00:39:34,719 --> 00:39:39,040
Speaker 15: blame both parties, but quite literally never blamed Democrats. This

784
00:39:39,160 --> 00:39:41,520
Speaker 15: time it was a little different, I think, because there

785
00:39:41,560 --> 00:39:44,960
Speaker 15: was simply no way for them, even twisting their logic

786
00:39:45,000 --> 00:39:49,600
Speaker 15: into pretzels, to really blame Republicans for this or claim

787
00:39:49,680 --> 00:39:54,560
Speaker 15: that Democrats were innocent, and so instead they basically obfuscated

788
00:39:54,600 --> 00:39:58,040
Speaker 15: a lot of the detail around the shutdown. Overall, we

789
00:39:58,080 --> 00:40:01,319
Speaker 15: found eighty seven percent of their coverage favored Democrats and

790
00:40:01,480 --> 00:40:05,520
Speaker 15: only thirteen percent favored Republicans. But in that there was

791
00:40:05,560 --> 00:40:09,520
Speaker 15: there was very little mention of, for example, Senate Democrats

792
00:40:09,560 --> 00:40:12,279
Speaker 15: having voted against a clean continuing resolution, right that was

793
00:40:12,719 --> 00:40:15,759
Speaker 15: practically non existing in all of the coverage. It was

794
00:40:15,760 --> 00:40:18,600
Speaker 15: in less than like twenty percent of their broadcasts. So

795
00:40:19,200 --> 00:40:21,480
Speaker 15: if you got all of your news from say like

796
00:40:21,560 --> 00:40:25,600
Speaker 15: ABC or CBS or NBC, you probably don't even know

797
00:40:25,640 --> 00:40:28,800
Speaker 15: how this shutdown really happened. And that's by design.

798
00:40:30,080 --> 00:40:32,880
Speaker 1: Yeah, I mean a few days ago, the normal security

799
00:40:32,960 --> 00:40:35,759
Speaker 1: hub where I enter the White House, their X ray

800
00:40:35,840 --> 00:40:38,080
Speaker 1: machine was down, so I had to go around to

801
00:40:38,120 --> 00:40:39,719
Speaker 1: the other side of the White House and I had.

802
00:40:39,600 --> 00:40:42,560
Speaker 2: To walk through a group of protesters.

803
00:40:42,000 --> 00:40:43,719
Speaker 1: And a lot of them had these signs up, you know,

804
00:40:43,840 --> 00:40:46,919
Speaker 1: let them eat cake, referring to Republicans not caring about

805
00:40:46,920 --> 00:40:49,279
Speaker 1: the government shutdown. And I asked one of those protesters,

806
00:40:49,320 --> 00:40:51,840
Speaker 1: I said, do you know how many times Democrat voted

807
00:40:51,840 --> 00:40:52,839
Speaker 1: for a CR when Joe.

808
00:40:52,760 --> 00:40:53,640
Speaker 2: Biden was in power?

809
00:40:53,960 --> 00:40:57,160
Speaker 1: And they said zero, and I said thirteen times.

810
00:40:57,200 --> 00:40:58,400
Speaker 2: They had no idea.

811
00:40:58,480 --> 00:41:00,759
Speaker 1: And the thing that's so concerning about this bill is

812
00:41:00,920 --> 00:41:03,920
Speaker 1: these are the people who are politically active. So poor,

813
00:41:04,320 --> 00:41:08,040
Speaker 1: poor generic Democrat Joe Schmoe out there doesn't have a prayer.

814
00:41:08,160 --> 00:41:10,760
Speaker 1: If this person who lives in Washington and is getting

815
00:41:10,840 --> 00:41:12,359
Speaker 1: up and going to protest doesn't know.

816
00:41:14,480 --> 00:41:16,640
Speaker 15: Right, And so this is this kind of creates this

817
00:41:16,719 --> 00:41:18,799
Speaker 15: weird phenomenon because you're absolutely right there.

818
00:41:18,880 --> 00:41:21,160
Speaker 14: These are the people that are politically engaged.

819
00:41:20,719 --> 00:41:23,120
Speaker 15: On the left right. But they I mean a lot

820
00:41:23,160 --> 00:41:26,520
Speaker 15: of these people probably learned the term continuing resolution during

821
00:41:26,600 --> 00:41:30,080
Speaker 15: this shutdown, right during this news cycle, because they don't

822
00:41:30,080 --> 00:41:31,960
Speaker 15: really pay attention to a lot of their particulars. It's

823
00:41:31,960 --> 00:41:33,960
Speaker 15: basically all tribal. It's it's a team sport for them,

824
00:41:34,000 --> 00:41:35,560
Speaker 15: and that's that's that's it.

825
00:41:36,080 --> 00:41:36,360
Speaker 4: Right.

826
00:41:36,480 --> 00:41:42,720
Speaker 15: So basically, whenever there's a story that has the Democrats,

827
00:41:42,760 --> 00:41:45,320
Speaker 15: either it portrays them unfavorably or there's some kind of

828
00:41:45,360 --> 00:41:49,280
Speaker 15: Democrat malfeasans or they're clearly guilty of something, it basically

829
00:41:49,400 --> 00:41:52,800
Speaker 15: leads to a less informed populace overall because the result

830
00:41:53,120 --> 00:41:55,640
Speaker 15: is that the news media obvius skate, they muddy the

831
00:41:55,640 --> 00:41:58,680
Speaker 15: waters around the story, and by the end, nobody really

832
00:41:58,719 --> 00:42:01,319
Speaker 15: knows what's going on unless they're already familiar with the

833
00:42:01,360 --> 00:42:03,920
Speaker 15: topic to begin with, right, unless you're like a political junkie.

834
00:42:04,520 --> 00:42:07,400
Speaker 15: And so it's kind of strange, but an outgrowth is

835
00:42:07,440 --> 00:42:11,160
Speaker 15: basically every time Democrats misstep or do something wrong, the

836
00:42:11,160 --> 00:42:13,000
Speaker 15: populace gets a little bit less informed.

837
00:42:14,200 --> 00:42:17,759
Speaker 1: Yeah, so what are they saying now that that? I mean,

838
00:42:17,800 --> 00:42:20,960
Speaker 1: momentarily they're going to be voting on the House. I'm

839
00:42:21,000 --> 00:42:22,520
Speaker 1: hearing that it's coming eminently.

840
00:42:23,000 --> 00:42:24,080
Speaker 2: So what's there.

841
00:42:24,719 --> 00:42:27,839
Speaker 1: What if they're blaming the shutdown on Republicans, then when

842
00:42:27,880 --> 00:42:30,040
Speaker 1: the shutdown ends, do they praise Republicans?

843
00:42:31,360 --> 00:42:32,680
Speaker 8: Yeah?

844
00:42:33,040 --> 00:42:35,880
Speaker 15: If only, if only they are They are unfortunately incredibly

845
00:42:35,880 --> 00:42:39,239
Speaker 15: good at compartmentalizing all of their beliefs. So if you

846
00:42:39,320 --> 00:42:42,920
Speaker 15: are a liberal newscaster, you are very capable and in fact,

847
00:42:43,040 --> 00:42:48,200
Speaker 15: probably obligated, to believe both that the shutdown is Republicans'

848
00:42:48,200 --> 00:42:51,920
Speaker 15: fault and also that the Democrat senators who are actually

849
00:42:52,000 --> 00:42:55,360
Speaker 15: voting for the Continuing Resolution are letting down their voters

850
00:42:55,360 --> 00:42:57,640
Speaker 15: by opening the government. Right, And of course those two

851
00:42:57,680 --> 00:42:59,560
Speaker 15: things are in conflict, but that doesn't really matter as

852
00:42:59,600 --> 00:43:02,160
Speaker 15: long as you keep those thoughts separate and just never

853
00:43:02,280 --> 00:43:04,680
Speaker 15: let them interact, which is how a lot of the

854
00:43:04,760 --> 00:43:07,680
Speaker 15: media seemed to behave. We're actually working on a compilation

855
00:43:07,800 --> 00:43:11,880
Speaker 15: right now of people from cable outlets blaming Republicans, and

856
00:43:11,880 --> 00:43:13,560
Speaker 15: then it's going to be all of those same people

857
00:43:14,040 --> 00:43:16,720
Speaker 15: yelling at Democrats for ending the shutdown, and of course

858
00:43:16,800 --> 00:43:19,400
Speaker 15: that begs the question of, okay, well, how do Democrats

859
00:43:19,440 --> 00:43:21,680
Speaker 15: end the shutdown if Republicans caused it.

860
00:43:21,600 --> 00:43:22,080
Speaker 3: To begin with.

861
00:43:24,480 --> 00:43:27,759
Speaker 1: Listen, mainstream media, I mean, logic is not even a

862
00:43:27,800 --> 00:43:30,200
Speaker 1: speed bump on their road to stupidity, So it doesn't

863
00:43:30,239 --> 00:43:32,400
Speaker 1: surprise me that they would find a way to do

864
00:43:32,440 --> 00:43:36,480
Speaker 1: mental Yeah, yeah, absolutely, all right. Emmercy Senior Research Analyst,

865
00:43:36,520 --> 00:43:38,719
Speaker 1: Bill Dagasino, thanks so much for being here and I

866
00:43:38,760 --> 00:43:39,719
Speaker 1: love breaking it down with you.

867
00:43:40,480 --> 00:43:41,760
Speaker 15: Absolutely, Thanks as always.

868
00:43:42,760 --> 00:43:43,360
Speaker 2: Absolutely.

869
00:43:43,400 --> 00:43:45,319
Speaker 1: Okay, I'm going to go back to wrap things up

870
00:43:45,360 --> 00:44:00,520
Speaker 1: after this very quick commercial break. Welcome back, everybody. It's

871
00:44:00,520 --> 00:44:02,520
Speaker 1: our final segment of the night, and we are going

872
00:44:02,560 --> 00:44:05,520
Speaker 1: to just y slightly dip into what's happening on the floor.

873
00:44:05,600 --> 00:44:08,160
Speaker 1: Majority Leader Steve Scalise was speaking, and now we have

874
00:44:08,400 --> 00:44:12,200
Speaker 1: moved on to a Democrat representative from Georgia, Samford Bishop

875
00:44:12,280 --> 00:44:13,880
Speaker 1: is speaking out.

876
00:44:13,800 --> 00:44:15,600
Speaker 4: Leaving biomedical research.

877
00:44:16,200 --> 00:44:20,200
Speaker 16: Michaelstituent Angela Holmes is unable to walk without debilitating pain.

878
00:44:20,400 --> 00:44:23,840
Speaker 16: She's worried that without tax credits she won't be able

879
00:44:23,880 --> 00:44:27,000
Speaker 16: to afford health insurance to complete the multiple back surgeries

880
00:44:27,040 --> 00:44:30,680
Speaker 16: she needs. For many Georgians, healthcare as a matter of

881
00:44:30,760 --> 00:44:31,800
Speaker 16: life and death.

882
00:44:32,320 --> 00:44:34,399
Speaker 4: Our Republican colleagues who have corrected this.

883
00:44:34,400 --> 00:44:36,719
Speaker 16: And the Rules Committee, but they rejected an amendment last

884
00:44:36,800 --> 00:44:39,680
Speaker 16: night that would have lowered health premium costs.

885
00:44:39,960 --> 00:44:41,680
Speaker 4: To me, that's unconsonable.

886
00:44:42,080 --> 00:44:46,120
Speaker 16: Saw the administration's actions during the shutdown. As a Christian,

887
00:44:46,160 --> 00:44:50,240
Speaker 16: I'm outraged that USDA used the shutdown to illegally withhold

888
00:44:50,320 --> 00:44:54,239
Speaker 16: snap from forty two million Americans. USD had the chance

889
00:44:54,320 --> 00:44:57,840
Speaker 16: to do the right thing and use designated contingency funds,

890
00:44:57,960 --> 00:45:00,400
Speaker 16: but rejected it, and in order to to do so

891
00:45:00,440 --> 00:45:02,759
Speaker 16: by the courts, they fought all the way to the

892
00:45:02,760 --> 00:45:06,560
Speaker 16: Supreme Court to keep hungry families from receiving food.

893
00:45:07,080 --> 00:45:09,839
Speaker 4: America produces the highest quality's safest.

894
00:45:09,560 --> 00:45:13,800
Speaker 16: Most abundable, most affordable, and abundant food, fiber, and medicine

895
00:45:13,800 --> 00:45:17,400
Speaker 16: anywhere in the world. To that end, this bill provides

896
00:45:17,719 --> 00:45:21,600
Speaker 16: many welcome investments. If fully funds snapping Wick, replenishes the

897
00:45:21,680 --> 00:45:25,760
Speaker 16: snapping Wick Contingency Funds, and fully funds cash value vouchers

898
00:45:25,760 --> 00:45:28,680
Speaker 16: for fruits and vestables for women and children. It also

899
00:45:28,760 --> 00:45:31,880
Speaker 16: helps rule America by providing a billion dollars in single

900
00:45:32,040 --> 00:45:34,839
Speaker 16: family direct home loans one hundred and twenty million over

901
00:45:34,920 --> 00:45:38,319
Speaker 16: the house level, and funding water and wastewater programs at

902
00:45:38,320 --> 00:45:41,440
Speaker 16: four hundred and forty six million, both issues that Democrats

903
00:45:41,440 --> 00:45:44,560
Speaker 16: tried to address and full Committee. The bill provides one

904
00:45:44,600 --> 00:45:47,600
Speaker 16: point eight billion for the Agriculture Research Service, one point

905
00:45:47,640 --> 00:45:51,560
Speaker 16: six billion for NIFFUP, protecting farmers, small businesses, and families

906
00:45:51,560 --> 00:45:56,560
Speaker 16: against President Trump's budget requests to eliminate land grant university research,

907
00:45:56,600 --> 00:45:58,360
Speaker 16: and extending activities.

908
00:45:57,880 --> 00:45:58,760
Speaker 4: Across the country.

909
00:45:59,160 --> 00:46:03,360
Speaker 16: I'm pleased to either The bill language requires Usdator notified

910
00:46:03,400 --> 00:46:08,279
Speaker 16: Congress before canceling grants over million dollars. That recltual portion

911
00:46:08,360 --> 00:46:11,320
Speaker 16: of this bill does make positive steps in the right direction.

912
00:46:11,920 --> 00:46:14,800
Speaker 16: Of The bill discards many of the harmful policy riders

913
00:46:14,800 --> 00:46:17,400
Speaker 16: which in the House bill, Yet it does not go

914
00:46:17,560 --> 00:46:21,240
Speaker 16: far enough to negate House language falsely questioning the safety

915
00:46:21,280 --> 00:46:25,440
Speaker 16: of MEFIT Friston and encouraging Fday to explore liability protections

916
00:46:25,440 --> 00:46:29,799
Speaker 16: for certain infant formulum manufacturers over which the agency has

917
00:46:29,840 --> 00:46:34,680
Speaker 16: absolutely no jurisdiction And while the overall funding package they

918
00:46:34,680 --> 00:46:37,359
Speaker 16: reopen the government for a month or two, this bill

919
00:46:37,400 --> 00:46:41,040
Speaker 16: does not address the breach of trust this administration has

920
00:46:41,080 --> 00:46:43,239
Speaker 16: demonstrated since January.

921
00:46:43,520 --> 00:46:44,680
Speaker 4: They failed to follow.

922
00:46:44,400 --> 00:46:46,920
Speaker 16: The law, and we cannot trust that they will even

923
00:46:47,040 --> 00:46:49,720
Speaker 16: execute this bill if we vote on it today.

924
00:46:49,880 --> 00:46:51,280
Speaker 4: The gentleman's time has expired.

925
00:46:51,800 --> 00:46:54,680
Speaker 16: Yeah, fifteen seconds.

926
00:46:54,840 --> 00:46:57,480
Speaker 6: The gentleman is recognized for an additional fifteen seconds.

927
00:46:57,680 --> 00:46:58,879
Speaker 4: They failed to follow the law.

928
00:46:58,960 --> 00:47:01,520
Speaker 16: We can't trust if they're execute the law. They cut

929
00:47:01,560 --> 00:47:04,080
Speaker 16: snapped by twenty percent in the big Ugly Bill of summer.

930
00:47:04,120 --> 00:47:08,080
Speaker 16: This mountainly funded federal programs five federal workers and illegally

931
00:47:08,080 --> 00:47:12,239
Speaker 16: ignore court orders. This bill fails to address the healthcout crisis,

932
00:47:12,560 --> 00:47:16,359
Speaker 16: and bipartisan outrage is erupted over language in the bill

933
00:47:16,400 --> 00:47:19,239
Speaker 16: to pay millions of dollars of time. A handful of

934
00:47:19,280 --> 00:47:21,200
Speaker 16: senators whose phone records.

935
00:47:20,960 --> 00:47:26,040
Speaker 4: Was Gyman's size has expired. January sixth investigation. It's a

936
00:47:26,040 --> 00:47:30,279
Speaker 4: bad bill. Gillman's time has expired. The gentleman yields back.

937
00:47:30,600 --> 00:47:34,480
Speaker 13: Does the generated from Connecticut reserve the generating reserves? A

938
00:47:34,520 --> 00:47:36,680
Speaker 13: gentleman from Oklahoma is recognized.

939
00:47:36,480 --> 00:47:37,040
Speaker 4: Miss speaker.

940
00:47:37,080 --> 00:47:41,560
Speaker 6: Miss speaker, I recognize my yield two minutes to my

941
00:47:41,680 --> 00:47:45,680
Speaker 6: very good friend, distinguished gentleman from Texas and distinguished chairman

942
00:47:45,840 --> 00:47:50,640
Speaker 6: of the Military Construction and Veteran Subcommittee, the Appropriations Committee, Mister.

943
00:47:50,440 --> 00:47:53,800
Speaker 13: Carter, gentleman from Texas is recognized for two minutes.

944
00:47:54,800 --> 00:47:57,360
Speaker 17: Thank you, mister speaker, and I want to thank my

945
00:47:58,120 --> 00:48:02,360
Speaker 17: longtime friend, colleague and the Chairman of the Appropriations Committee,

946
00:48:02,360 --> 00:48:07,840
Speaker 17: mister Cole, for yielding me the time arise in support

947
00:48:07,880 --> 00:48:11,880
Speaker 17: of HR fifty three seventy one and look forward to

948
00:48:12,120 --> 00:48:17,000
Speaker 17: reopening the government. The shutdown has gone on long enough.

949
00:48:17,560 --> 00:48:22,520
Speaker 17: It's time to end it. Yesterday was Veterans Day, and

950
00:48:22,520 --> 00:48:27,120
Speaker 17: it's a timely reminder of the commitment our armed forces

951
00:48:27,160 --> 00:48:32,040
Speaker 17: personnel have made and the responsibility that we have to

952
00:48:32,120 --> 00:48:36,080
Speaker 17: take care of those who serve our nation. Military Construction

953
00:48:36,160 --> 00:48:40,840
Speaker 17: and Veteran Affairs component of the legislation meets that goal.

954
00:48:41,760 --> 00:48:46,640
Speaker 17: The legislation includes one hundred and thirty three point three

955
00:48:46,719 --> 00:48:50,960
Speaker 17: billion for the Department of Veterans Affairs, including one hundred

956
00:48:50,960 --> 00:48:58,880
Speaker 17: and thirteen billion point eight the discretionary fund of funding

957
00:49:00,880 --> 00:49:06,719
Speaker 17: for the VIA Medical Care. It includes critical funding for Medicare, Medicare,

958
00:49:07,040 --> 00:49:16,040
Speaker 17: Medical Health Services, telehalf Services, Veterans homelesses programs, medical medical

959
00:49:16,080 --> 00:49:22,319
Speaker 17: research programs, and reural health initiatives. In investing information technology,

960
00:49:22,880 --> 00:49:30,080
Speaker 17: including robusts and investments in VA Electronic Health record modernization.

961
00:49:30,960 --> 00:49:32,760
Speaker 1: So, just to give you an idea of the timeline,

962
00:49:32,840 --> 00:49:36,560
Speaker 1: about thirty two minutes ago the House pass that key

963
00:49:36,600 --> 00:49:38,920
Speaker 1: procedural vote to thirteen to two o nine.

964
00:49:38,960 --> 00:49:42,520
Speaker 2: Of course, to thirteen Republicans. They have an hour to debate.

965
00:49:42,200 --> 00:49:44,399
Speaker 1: So that means that about twenty eight minutes from now

966
00:49:44,440 --> 00:49:46,680
Speaker 1: that debate will end and then they will finally vote,

967
00:49:46,680 --> 00:49:50,160
Speaker 1: and hopefully this shutdown will be behind us. So we're

968
00:49:50,160 --> 00:49:52,200
Speaker 1: going to talk more about what happens in the next

969
00:49:52,200 --> 00:49:53,719
Speaker 1: few minutes on tomorrow night's show.

970
00:49:53,760 --> 00:49:55,040
Speaker 2: In the meantime, have a great night.

971
00:49:55,040 --> 00:49:57,239
Speaker 1: Grant Centchfield is going to take you to the next hour.

972
00:49:57,520 --> 00:49:57,920
Speaker 2: Simre