The Glenn Beck Program - August 08, 2025


ANOTHER China Virus?! Here We Go Again ... | 8⧸8⧸25


Episode Stats

Length

2 hours and 6 minutes

Words per Minute

165.55615

Word Count

20,896

Sentence Count

1,651

Misogynist Sentences

39

Hate Speech Sentences

35


Summary

On today's show, Glenn sits down with Pat and Jeff to talk about the latest in the Trump administration, including the White House s new ballroom, and why it's not even close to being as big as it used to be.


Transcript

00:00:00.000 bank more encores when you switch to a scotia bank banking package
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00:01:10.080 Thank you.
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00:01:48.860 The fusion of entertainment and enlightenment.
00:01:53.060 This is the Glenn Beck Program.
00:02:00.120 Yeah! Welcome to it.
00:02:03.620 It's Pat and Jeffy today for Glenn.
00:02:07.860 Feeling a little under the weather.
00:02:10.980 So, we've got a full slate of stuff to tell you about.
00:02:16.700 And talk over with you.
00:02:18.620 We'll do that.
00:02:19.480 888-727-BECK if you'd like to participate.
00:02:24.520 More on that coming up in one minute.
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00:03:58.740 All right.
00:04:00.760 Welcome.
00:04:03.020 So much going on on this planet right now.
00:04:08.180 I thought we'd start with something kind of fun.
00:04:11.240 You know, they were newly redesigned.
00:04:13.100 They're actually building a ballroom now at the White House, which is kind of fun.
00:04:17.860 Trump has been traveling the world and seeing these mega ruler mansions of other countries.
00:04:25.580 And I think he feels like, man, I live in a dump.
00:04:28.080 Yeah.
00:04:28.960 Exactly.
00:04:29.740 A 52,000 square foot dump.
00:04:34.440 Unacceptable.
00:04:34.880 That cannot be.
00:04:35.980 That can't stand.
00:04:37.080 And it's not.
00:04:37.800 It's not standing.
00:04:38.660 So, that's why we're building a 90,000 square foot ballroom.
00:04:42.360 But here's the thing.
00:04:43.540 And this is really amazing.
00:04:45.080 He is paying for it.
00:04:46.440 He's putting the bill.
00:04:47.140 He, in part.
00:04:48.320 I think he's going to get donors from, you know, maybe some rich friends.
00:04:51.560 But that's incredible.
00:04:53.540 The tax dollars aren't going to it.
00:04:55.940 So, you know, even when you add the 90,000 to the 52,000, you still only got 140,000 square foot dump.
00:05:02.860 Yeah, I know.
00:05:03.760 It's still a dump.
00:05:04.380 It is.
00:05:05.060 It is legitimately a dump.
00:05:07.300 When you consider the fact that Buckingham Palace is something like 840,000 square feet.
00:05:15.040 I mean, the Saudi place was, I mean, there's several places in Saudi Arabia.
00:05:20.780 Then there's one in Brunei.
00:05:21.700 Brunei, I think, is the biggest 2.1 million square feet of their palace.
00:05:26.520 I mean, we don't need that, but.
00:05:29.380 That's not the point.
00:05:30.360 That's not the point.
00:05:31.080 That's not the point, Pat.
00:05:31.800 This is America.
00:05:32.580 Thank you.
00:05:33.280 It's the greatest nation in the history of the world.
00:05:35.720 We have a builder as president of the United States of America.
00:05:38.800 We need a little addition.
00:05:40.800 So, anyway, he fixed up the Rose Garden.
00:05:43.560 They put a little patio out there.
00:05:44.740 Yeah, was this him or Melania?
00:05:46.700 I don't know.
00:05:48.180 I think she was involved.
00:05:49.640 Yeah.
00:05:50.240 Yeah.
00:05:50.540 Because they got rid of all the grass and everything, right?
00:05:54.760 So, they put it in the concrete with the new tables.
00:05:58.580 Yeah, but it looks nice.
00:05:59.800 Yeah, it's okay.
00:06:01.120 It looked nice.
00:06:02.380 They've got tables and umbrellas.
00:06:04.540 I don't know what I expected, but I expected better.
00:06:07.140 You expected solid gold tables, didn't you?
00:06:10.200 I think that's the least thing I could do.
00:06:12.160 I mean, what he's done to the Oval Office, you expect what might happen in the Rose Garden
00:06:19.580 as well.
00:06:20.740 But he apparently didn't.
00:06:23.060 But there is some fixing upping going on in the White House right now.
00:06:27.920 Yeah, no kidding.
00:06:29.040 And so, I don't have a problem with it as long as we're not paying for it.
00:06:33.240 We're going to have to raise the flagpoles if he starts building upper deck additions to
00:06:37.780 the White House, man.
00:06:38.820 Those flagpoles are not tall enough right now.
00:06:42.340 But those were actually really tastefully done, I thought.
00:06:44.940 Yes, they were.
00:06:45.680 And people were complaining about it.
00:06:47.020 He put the bill for that, too.
00:06:47.780 But, yeah.
00:06:48.480 And I like it.
00:06:50.560 But can we do this?
00:06:52.940 Are we in an economic spot where it's okay to be doing this?
00:06:56.760 Well, especially since we're not paying for it, yes.
00:06:58.900 But the other thing is, Stephen Moore went through what's going on right now with the
00:07:04.840 economy.
00:07:06.880 And this is pretty amazing.
00:07:08.740 I don't know if you've seen these economic numbers, but check this out from Stephen Moore.
00:07:13.380 25th percentile is the lowest income.
00:07:15.720 75th percentile is the highest income.
00:07:18.020 And what I find fascinating about this, Mr. President, is every income group did better.
00:07:23.400 The red is President Trump.
00:07:25.400 The blue is President Biden.
00:07:26.900 Every single income group did better under President Trump.
00:07:32.020 But what's really amazing is look what happened under Biden.
00:07:35.420 The lowest income group lost income under Biden.
00:07:39.940 They were poor four years after Biden's presidency.
00:07:43.540 No gain virtually whatsoever for the middle class.
00:07:46.440 And the rich was the only group that did better under Biden, which is ironic because Biden keeps
00:07:51.800 saying he was trying to get rid of income inequality.
00:07:54.740 He made income inequality worse, not better.
00:07:57.120 It was President Trump that reduced income inequality.
00:07:59.300 These numbers just came out, by the way.
00:08:01.680 And then finally.
00:08:04.740 And what else?
00:08:05.520 These are the numbers just in, I just showed you the percentage terms.
00:08:10.760 Mr. President, these are the numbers in dollar terms.
00:08:13.200 So, even the lowest income, 25th percent, gained about $4,000 income.
00:08:19.020 That's a lot for a lower income family.
00:08:21.760 $6,400 for the middle class and almost $10,000 for the richest.
00:08:26.300 So, you can see every income group did better under Trump than Biden, by a wide margin.
00:08:31.220 Wow.
00:08:31.580 That's the story.
00:08:32.720 What?
00:08:33.180 That was the first term, right?
00:08:34.840 We didn't even get to the second term yet.
00:08:36.440 Because I think those numbers, so far, it would have been six, seven months.
00:08:40.720 Are even better.
00:08:41.660 Are up as well.
00:08:42.920 Yeah.
00:08:43.700 It's pretty amazing because that's what Biden said he was all about, was the little guy.
00:08:50.240 And they didn't want to give tax cuts to the richest Americans.
00:08:53.620 And they didn't deserve them.
00:08:55.440 And it's all about the little guy.
00:08:58.240 Is it?
00:08:59.400 Huh.
00:09:00.140 Then how did the little guy lose money during your reign of terror?
00:09:05.260 How did that happen?
00:09:07.320 He hated the middle class.
00:09:11.120 I'm a class anyway.
00:09:12.400 So, that's how.
00:09:13.840 He absolutely.
00:09:14.680 He hates Americans.
00:09:16.120 There you go.
00:09:17.180 Let's just sum it up with what it actually is.
00:09:21.340 President Trump also discussed the meeting of him with Vladimir Putin, which could be coming up as soon as next week.
00:09:33.200 And he addressed whether or not that might include Zelensky.
00:09:39.340 Does Putin have to meet with Zelensky in order and before you and Putin have to meet?
00:09:45.100 No.
00:09:46.260 Are you going to?
00:09:47.460 That's actually important because the president, President Putin said this morning,
00:09:50.400 he was pretty dismissive of this idea of meeting with President Zelensky.
00:09:53.700 President Putin was.
00:09:54.780 I don't know.
00:09:55.260 I didn't hear him.
00:09:55.660 If you need to meet with him, he doesn't have to agree to meet with Zelensky.
00:09:58.400 Is that what you're saying?
00:09:59.400 No, he doesn't.
00:10:00.160 No, no.
00:10:00.940 So, when do you think that means?
00:10:01.860 They would like to meet with me and I'll do whatever I can to stop the killing.
00:10:05.840 Amen.
00:10:06.160 Last month, they lost 14,000 people killed last month.
00:10:13.180 Every week is four or five thousand people.
00:10:16.300 So, I don't like long waits.
00:10:19.800 I think it's a shame.
00:10:20.600 And they're mostly soldiers.
00:10:22.340 They're Ukrainian and Russian soldiers.
00:10:24.180 And some people from the cities where, you know, missiles are lobbed in and you'll lose 35, 40 people a night, which is terrible.
00:10:32.320 But, no, mostly it's soldiers.
00:10:34.920 And you're talking about, on average, 20,000 a month.
00:10:39.900 20,000 people are dying a month.
00:10:41.860 Young, generally young people, soldiers.
00:10:45.260 Wow.
00:10:46.000 That's really sad.
00:10:47.060 Really, really sad.
00:10:47.980 And, again, he seems to be the only one concerned about it.
00:10:52.340 As far as leaders on the world stage, do you hear anybody talking about that ever?
00:10:59.200 He genuinely cares about the loss of life.
00:11:03.240 And he wants to put a stop to it.
00:11:04.860 And so, he'll meet with Putin with Zelensky or without Zelensky.
00:11:09.260 He just needs to get together with Putin.
00:11:11.340 Because I think he really believes that he can change Putin's mind.
00:11:16.460 You know, he's a great negotiator.
00:11:17.700 Yes, I would think so, too.
00:11:18.780 And he has every confidence that he can fix this thing.
00:11:21.640 And I really do feel like he thought he would already have it done.
00:11:24.960 Oh, for sure.
00:11:26.060 He wanted that done.
00:11:27.100 And that's why when, earlier in the day, yesterday, one of his, one of President Trump's new people said that they wouldn't do the meeting without Putin and Zelensky.
00:11:41.540 And then, a little bit later on, that's when Donald Trump was like, yeah, no, I'll meet with him alone.
00:11:46.640 Right.
00:11:47.260 No, I'll meet with him alone.
00:11:48.500 Because we need to make, this needs to happen.
00:11:50.120 Because he'll do whatever it takes to stop the madness.
00:11:53.280 Yeah.
00:11:53.460 So, if the madness doesn't stop, then you're going to continually, it's over a million people.
00:12:00.980 But today's the day, right?
00:12:01.980 Today's the final day, anyway, that he gave for ending the war.
00:12:06.860 Without that, I mean, that's when, I guess, all the tariffs and secondary tariffs take effect.
00:12:13.980 So, anybody that does business with Russia gets, you know, tariffs on top of tariffs, I guess, is how they're going to do it.
00:12:23.000 So, you know, okay.
00:12:23.920 All right.
00:12:25.000 Yeah.
00:12:25.280 And I think Putin is aware that Trump is really serious about the secondary tariffs that are going to happen to people.
00:12:32.440 If you don't get on board with the sanctions that we're going to.
00:12:36.080 One of our strong allies, India.
00:12:39.300 He's already done that.
00:12:40.320 Yeah.
00:12:40.800 For buying their oil.
00:12:43.000 Yeah.
00:12:43.740 He assessed another 25% tariff on them.
00:12:46.860 And that's amazing because.
00:12:48.560 I know.
00:12:49.620 We're pretty strong allies.
00:12:51.860 They're very, very friendly with President Trump.
00:12:55.300 They love him.
00:12:56.260 And so, for him to slap this 25% extra tariff on them is pretty amazing.
00:13:02.340 Now, maybe they say, hey, well, fine.
00:13:04.000 We'll get our oil, you know, from you guys.
00:13:05.600 Elsewhere.
00:13:05.960 Yeah.
00:13:06.380 No problem.
00:13:07.140 And so, the 25%, you know, slapped on it for the Russia, they can make that go away.
00:13:12.160 Hopefully.
00:13:12.700 Yeah.
00:13:13.000 I hope that works out.
00:13:13.920 I don't want it to.
00:13:14.680 I don't want to have India against us.
00:13:17.120 No.
00:13:17.980 Yeah.
00:13:18.180 It's the most populous nation.
00:13:19.420 One of the countries on the planet that have a lot of people.
00:13:23.120 Yeah.
00:13:24.620 You think 1.4 billion is a lot?
00:13:27.520 Is that a lot?
00:13:28.220 They keep adding.
00:13:29.080 They keep adding more and more people like every day.
00:13:31.740 It's incredible they passed China, isn't it?
00:13:34.140 Yeah.
00:13:34.420 That's amazing.
00:13:35.140 I think every time now, I mean, they've passed it enough where they're looking back now.
00:13:41.260 Yeah, I think so.
00:13:41.820 Because for a while, it was back and forth.
00:13:44.200 And they were, you know, really, one month it was China.
00:13:47.900 Then, you know, two months later, it's India.
00:13:49.540 But I think they were, we may be at the point now where they've actually just, they're looking
00:13:54.680 behind them now.
00:13:55.720 We're the leader.
00:13:56.680 Yeah.
00:13:56.820 And it got so bad in China that I think, didn't they remove their one child policy?
00:14:01.820 No, I think that was quite some time ago.
00:14:04.000 So a while ago, they said, okay, no, you can have more than one kid.
00:14:07.140 Well, yeah, I mean, all countries are hurting with their replacements.
00:14:09.760 There's no doubt about that.
00:14:10.820 I mean, we are struggling with that as well.
00:14:12.700 Japan is struggling with that.
00:14:14.320 Our replacement rate is 2.1 children per family.
00:14:19.300 2.1.
00:14:20.000 We're at 1.5.
00:14:21.660 There you go.
00:14:22.320 Yeah.
00:14:22.840 Which is huge.
00:14:24.460 It doesn't sound, you know, it's six tenths of a percent.
00:14:26.620 And that's huge when it comes to per capita and the fact that we're nowhere near where
00:14:35.420 we need to be to replace ourselves.
00:14:37.360 Look, I did my part.
00:14:39.340 Me too.
00:14:40.000 I did my part.
00:14:40.740 So did I.
00:14:42.040 I mean, how many more than six can I do?
00:14:44.940 Well, Elon's proving that that's possible.
00:14:48.840 Yeah.
00:14:49.420 You have 14.
00:14:50.820 So a little beyond.
00:14:52.780 So see, you could do more than six.
00:14:54.040 I guess I could.
00:14:54.720 I could do better.
00:14:55.620 I should be ashamed of myself.
00:14:57.700 All right.
00:14:58.460 888-727-BECK.
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00:16:36.180 I think Glenn and Stu had this woman on a few days ago who's bypassing Hamas.
00:16:44.820 Speaking of wars right now that need to end.
00:16:47.640 Yeah.
00:16:48.200 Uh, she, she is getting food to the Palestinians in the Gaza Strip.
00:16:55.880 And in order to do that, you have to bypass Hamas because they're stealing it all.
00:17:01.640 Yeah.
00:17:02.420 I mean, it was, we heard Mike Johnson tell us, uh, you know, a couple of weeks ago, two or
00:17:06.260 three weeks ago that, uh, 94,000 truckloads of food from Israel into the Gaza had been taken.
00:17:15.420 That is incredible.
00:17:16.500 Incredible number.
00:17:17.440 94,000.
00:17:19.680 No wonder.
00:17:21.200 Right.
00:17:22.300 There's some problems with, with food in the area, but the rest of the world is trying to
00:17:28.780 blame that on Israel and they're not the ones responsible for it.
00:17:32.040 And this lady is doing something about it.
00:17:34.560 Yes, she is.
00:17:35.280 She found some alternate routes around where Hamas is, is located so that she could get food
00:17:40.680 to the Northern part of the Gaza Strip and actually feed starving Gazans.
00:17:47.940 Um, it's, it's an incredible story.
00:17:51.280 Um, she's 30.
00:17:52.860 She's from Eastern Jerusalem.
00:17:55.260 Her name is, uh, Sarah Awada and, uh, she's received almost no media attention at all for
00:18:03.060 her aid initiative.
00:18:04.020 It's, it's, and she's fed over a hundred thousand Gazan families.
00:18:09.560 Uh, so she partners with Mina aid.
00:18:12.900 It's a regional partner coalition operating under the multi-faith alliance in cooperation
00:18:18.140 with Israeli authorities.
00:18:20.020 Wait, what, wait, the Israeli authorities are helping you get food to the Gazans?
00:18:28.120 Amazing.
00:18:29.260 Huh?
00:18:30.820 What?
00:18:32.320 So her team, uh, built a system that moved hundreds of trucks of food and supplies into
00:18:38.160 Gaza that bypassed Hamas and private contractors who were turning hunger into a business for
00:18:45.440 themselves.
00:18:45.740 So they confiscate the loads and then they try to sell that money.
00:18:50.720 So in, uh, June, she decided to, to, uh, scale up the distribution in the area at a
00:18:58.680 time when no one was able to get anything into Gaza because of looting and chaos, multiple
00:19:03.900 layers of obstruction on the ground.
00:19:06.100 And so she mapped out these alternate routes and she's been working with trusted logistics
00:19:12.200 partners, many of whom were Israelis.
00:19:14.720 She says, she says, and got the food to the people who were starving and needed it most.
00:19:21.940 Um, so pretty, pretty amazing what she's doing.
00:19:26.740 And of course, because she's doing this, she's gotten all kinds of death threats from the Hamas
00:19:32.920 holes who, uh, who don't want the food to get to their own people.
00:19:37.460 I mean, I, I don't know how the rest of the world has not, has not condemned Hamas for
00:19:45.480 the way that they've conducted themselves.
00:19:46.980 And the fact that they're starving their own people and there's never been, do you know that
00:19:53.020 the UN has passed 154 resolutions against Israel since I think it was 2017, just the
00:20:03.640 hundred, just 154 though, uh, condemnations of Israel and what they're doing.
00:20:08.040 And the number with Hamas or the Palestinian authority or anybody in, in, in any position
00:20:17.980 of authority with the Palestinians, that number is, okay, bring down the one and carry the
00:20:24.060 two, uh, none, um, zero.
00:20:27.780 Yeah.
00:20:28.220 None.
00:20:29.260 Uh, unbelievable.
00:20:30.660 So this is what the Israelis have to deal with.
00:20:32.900 Um, and, uh, I don't, I don't understand how they, you know, this, none of this news ever
00:20:40.520 gets out to people.
00:20:41.840 And so just spread this well-kept secret to people, uh, as much as you possibly can and
00:20:50.020 help spread this news.
00:20:51.860 Um, there's an author, podcaster, Coleman Hughes, who talked about Hamas and what their
00:20:57.360 goal is.
00:20:58.000 Their, uh, their goal right now is to increase the suffering of the Palestinians because then
00:21:05.560 they can blame it all on Israel and they think that's to their advantage.
00:21:10.160 So that's why you've seen the images of emaciated Gazan children.
00:21:15.540 Uh, and you know, now who's responsible for it.
00:21:18.900 It's Hamas and they're only too happy to make this happen and then tell the world it's Israel.
00:21:25.040 Well, see, they're stealing all of our food and we can't get the food to our people.
00:21:29.520 So what happens?
00:21:30.400 I mean, Netanyahu has said, right, he wants, he's going to take over Gaza and he's going
00:21:33.820 to, uh, get rid of, uh, the Hamas, um, friends, the Hamas, uh, holes, whatever you want to
00:21:42.920 call them.
00:21:43.400 I do want to call them that.
00:21:44.560 Um, and then they're going to do securities to keep the other Gazans, uh, safe.
00:21:50.920 Right.
00:21:51.320 I mean, that's, that's his, that's his, now, now is his plan.
00:21:54.280 So, yeah, I guess so.
00:21:56.180 I mean, okay.
00:21:56.960 If that, I mean, if it stops the war, good.
00:21:59.980 And if it gets the, it's unbelievable that we have not gotten all the hostages back.
00:22:05.220 That is incredible to me.
00:22:06.600 And we, we hear almost nothing about them anymore.
00:22:08.820 I know.
00:22:09.620 The only reason we've heard about them lately is because of the Hamas propaganda.
00:22:14.660 Right.
00:22:14.920 I don't know how they thought that was going to be to their advantage, but they've shown
00:22:18.000 us the starving hostages.
00:22:19.780 What are we doing?
00:22:20.740 Incredible.
00:22:21.520 Yeah.
00:22:21.700 It's, it's unbelievable.
00:22:24.180 All right.
00:22:24.460 888-727-BECK.
00:22:26.780 More coming up.
00:22:30.540 This is Glenn Beck.
00:22:33.260 On September 11th, 2001, a young firefighter named Stephen Siller ran through the Brooklyn
00:22:40.460 Battery Tunnel in full gear to get to the Twin Towers and help save lives.
00:22:45.220 Well, he never made it home.
00:22:47.540 But the promise that came out of his sacrifice has been echoing ever since.
00:22:51.940 The Tunnel to Towers Foundation was built on that promise to honor our heroes by taking
00:22:56.660 care of their families.
00:22:58.200 That means providing mortgage-free homes to the spouses and children of fallen first responders
00:23:02.720 and military service members.
00:23:04.760 It means building specifically and specially adapted smart homes for our most severely injured
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00:23:27.520 you.
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00:23:44.520 Big changes ahead, transforming history and how we learn about it.
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00:23:50.340 It's Pat Gray, Jeff Fisher for Glenn Today.
00:24:11.260 888-727-BECK.
00:24:14.380 We're just talking a bit about the UN and their resolutions against Israel.
00:24:19.740 And what a worthless, stinking organization the UN is.
00:24:24.420 They're still here in the United States.
00:24:26.520 Leave.
00:24:27.100 How many times have we said that?
00:24:28.500 Get the UN out of the US.
00:24:31.840 So earlier this week, I see a headline that says the United Nations are going to relocate
00:24:35.940 from New York to Nairobi, Kenya.
00:24:38.520 Oh my gosh.
00:24:40.580 Okay, that can't be real.
00:24:42.160 My first reaction is it can't be real.
00:24:44.440 After I said, good.
00:24:46.240 Yeah.
00:24:46.720 Then you're like, wait, that's too good to be true.
00:24:49.160 It can't be true.
00:24:49.620 Well, so now we find out that they were going to move their headquarters of UNICEF, UN Women,
00:24:57.540 and UNFPA from New York to Nairobi by next year.
00:25:05.140 You know what UNFPA is?
00:25:06.760 I do not.
00:25:07.320 Female People Association.
00:25:09.740 I don't know.
00:25:10.360 It's the Female People Association.
00:25:11.860 Yeah, I don't know what it is.
00:25:12.400 Obviously.
00:25:13.260 Obviously.
00:25:13.920 I should have known that.
00:25:14.660 It's the Female People Association.
00:25:17.740 That's going to be in Nairobi.
00:25:19.280 Okay.
00:25:19.600 And they're talking about it because they believe that it will cut costs and bring services closer
00:25:24.620 to the people.
00:25:25.600 Good.
00:25:25.940 Get out.
00:25:26.380 Shifting power to global Nairobi.
00:25:26.980 Take the rest of the stupid organization with you.
00:25:29.680 So that would mean that they would be in Nairobi, New York, Geneva, Vienna, multiple headquarters.
00:25:36.620 Well, I mean, we can cut New York out of that.
00:25:38.420 No problem.
00:25:39.180 Well, then I see an interview with some dingleberry from the UN that says, well, it's not a sure
00:25:46.020 thing yet.
00:25:47.260 They haven't 100% decided on that yet.
00:25:51.120 So that might not even happen.
00:25:53.280 We might not even get rid of some of them.
00:25:55.060 Dang it.
00:25:55.720 I mean, come on.
00:25:56.980 Yeah.
00:25:57.520 Can't we just, I don't know, just back up the moving trucks and get them out of here.
00:26:02.960 It's not that hard.
00:26:03.960 Help them.
00:26:04.480 Yeah.
00:26:04.640 I'd be surprised if they moved the whole operation to Nairobi, though.
00:26:08.700 I would expect, you know, Brussels, Belgium, you know.
00:26:14.280 Well, yeah, that's what they said.
00:26:15.240 I mean, they're already in, what was it?
00:26:17.620 London.
00:26:21.660 They're in Vienna.
00:26:25.560 That's it.
00:26:26.240 Yeah.
00:26:26.400 Vienna, New York.
00:26:27.220 And then they would be in Nairobi if they move there.
00:26:31.000 So they still, I mean, they still have some space in Geneva.
00:26:35.900 So.
00:26:36.600 Oh, right.
00:26:37.120 Yeah.
00:26:37.820 Geneva, just go there.
00:26:39.800 Get out.
00:26:40.420 Go there.
00:26:41.440 And that's.
00:26:42.080 They want you.
00:26:43.060 All the countries.
00:26:43.740 I'm sure they want you.
00:26:45.120 All the countries that love it so much and want to participate in it.
00:26:49.720 They can be right there.
00:26:50.980 Really close to the headquarters.
00:26:52.900 You don't even have to fly across the ocean.
00:26:54.640 I mean, I'm right there.
00:26:55.620 I'm just guessing there's probably some real estate available in Nairobi.
00:27:00.380 I'm sure.
00:27:01.180 That you could.
00:27:02.260 And it's cheaper than New York.
00:27:03.560 Spread out.
00:27:04.020 They're right about that.
00:27:05.160 Cheaper than New York.
00:27:06.640 So.
00:27:07.500 Building is cheaper.
00:27:08.760 The workers.
00:27:09.720 All the.
00:27:10.780 All the little people.
00:27:12.300 People you have to pay off to get buildings built.
00:27:14.480 They're probably a little bit cheaper.
00:27:16.040 Like all the people from the female people association.
00:27:18.880 Thank you.
00:27:19.480 Yeah.
00:27:19.920 Thank you.
00:27:22.280 All right.
00:27:22.920 It's a very important.
00:27:24.360 Yeah.
00:27:24.580 Very important.
00:27:25.540 Critical.
00:27:26.240 Critical work.
00:27:27.280 That they're doing.
00:27:28.400 Do it in Nairobi.
00:27:29.680 That would be great.
00:27:30.860 All right.
00:27:31.040 You got a fat five going on here?
00:27:33.260 Yeah.
00:27:33.520 Sure.
00:27:33.720 We could talk.
00:27:34.820 Absolutely.
00:27:35.440 One of my favorite stories.
00:27:36.920 And I'm kind of jealous of this guy.
00:27:39.860 Evaldis Remasakis from Lithuania.
00:27:42.420 I love him.
00:27:43.400 And others.
00:27:44.880 Various unnamed others.
00:27:46.660 Posed as computer and electronic hardware manufacturing company.
00:27:50.820 Based in Taiwan called the Quanta Computer.
00:27:54.580 Yeah.
00:27:55.480 This guy and his unnamed associates scammed Facebook and Google out of $122 million.
00:28:03.580 That's incredible.
00:28:04.520 Between 2013 and 2015.
00:28:07.540 So Remasakis sent invoice requests from Quanta Computer to Facebook and Google.
00:28:13.580 And by the way, they did zero work, right?
00:28:15.740 Correct.
00:28:16.600 It was all fake.
00:28:17.860 They just sent an invoice and said, hey, pay us this amount.
00:28:21.300 And Google paid them $23 million.
00:28:23.200 And Facebook paid them $99 million.
00:28:26.060 So Facebook gets a bill from some company that they haven't had any work done from.
00:28:32.960 That's correct.
00:28:33.660 And they just pay out $99 million.
00:28:37.860 That's correct.
00:28:38.380 And they wired the money to bank accounts in Latvia and Cyprus.
00:28:41.960 Oh my gosh.
00:28:42.920 Let's pay it out.
00:28:43.700 Let's pay it out.
00:28:45.660 Wow.
00:28:46.540 That's quite a scam.
00:28:47.460 That is quite a scam.
00:28:49.460 And so the banks kind of, they tried to, they've created fake documents because the bank was
00:28:55.480 questioning this influx of cash, you know, where this money was coming from.
00:28:59.660 So they created fake documents that were supposed to have been signed by Google and Facebook
00:29:05.480 management.
00:29:06.560 And they were, the bank's still kind of questionable.
00:29:08.780 So they kind of red flagged it.
00:29:10.260 And then our FBI and Justice Department got involved, which is how he got caught.
00:29:14.700 So it wasn't even Facebook that realized.
00:29:18.520 No, they would have continued to pay it forever.
00:29:20.200 Google and Facebook would have continued to write the checks.
00:29:22.280 It was the bank.
00:29:23.400 Yeah.
00:29:24.000 Oh my gosh.
00:29:24.860 So if the bank hadn't said anything, it would still be going on today.
00:29:27.700 Be in the clear.
00:29:29.200 So they brought him.
00:29:30.020 I mean, they, he, they brought him over.
00:29:31.700 He was expedited from Lithuania and they brought him to the States and I, you know, I don't
00:29:35.520 know why or who the other unnamed people are, but the, this is just the one guy that they
00:29:41.740 got over and he pled guilty to one count of wire fraud and he, this, he pled guilty in
00:29:48.120 2019.
00:29:48.860 So he was sentenced to 60 months in prison for his criminal scheme and then a two years supervised
00:29:55.580 release.
00:29:56.640 Okay.
00:29:56.760 So he's almost done with that now, right?
00:29:58.900 That was in 2019.
00:30:00.180 He was ordered by the court to forfeit 49.7 million and to pay reimbursement of 26.5 million.
00:30:08.760 But he gets to keep the rest.
00:30:10.500 I am not a mathematician, but that is not $122 million.
00:30:14.380 No, it isn't.
00:30:14.900 So that's like a 45 ish million left over somewhere.
00:30:19.280 Uh, I would be willing to do seven years for 45 million.
00:30:24.100 Wow.
00:30:24.860 Uh, yeah.
00:30:25.580 And actually you do five years in prison and two years, uh, supervised release for 45 million
00:30:31.080 at the other end.
00:30:32.360 Yeah.
00:30:32.940 I'm in.
00:30:33.560 I mean, if you don't care about the criminality of it, well, that's kind of a brilliant scheme,
00:30:38.480 isn't it?
00:30:38.900 Just bill a company.
00:30:40.140 It is.
00:30:40.680 $99 million.
00:30:41.640 The U S attorney is like, we'll catch you.
00:30:43.920 And, uh, you know, this is just, this, we need to make sure you will be held accountable.
00:30:49.420 Um, okay.
00:30:52.020 Sounds like he got away with it for a few years anyway.
00:30:55.300 Wow.
00:30:55.700 Uh, yeah.
00:30:56.180 He had a couple of years, uh, two or three years of big money.
00:30:58.880 And then now at the other end, unless I don't know how much the unnamed sources took, but
00:31:04.620 I mean, to my calculations, that's just at least a few million at the other end of seven
00:31:09.400 years.
00:31:09.620 That's not bad.
00:31:10.280 Wow.
00:31:12.940 Wow.
00:31:13.860 I'm, you know, I'd be, I would, I may help somebody out at some point in my life.
00:31:20.880 Uh, it's pretty amazing though, that Facebook would pay that kind of invoice and not even
00:31:26.260 look into it.
00:31:26.940 And this is what our government does all the time as well.
00:31:28.940 Yeah.
00:31:29.120 Right.
00:31:29.320 You know, people have been.
00:31:30.180 But that's not a government.
00:31:31.500 No, that is not.
00:31:32.340 That's a private business.
00:31:33.720 I know.
00:31:34.220 That's not even looking over their funds.
00:31:35.820 It's 99, almost a hundred million dollars means nothing to you where you say, well,
00:31:41.060 what work did you do?
00:31:42.380 Can somebody check into this?
00:31:43.600 This is a pretty big bill.
00:31:47.160 Jeez.
00:31:48.240 For two or three years, you're just paying this company millions of dollars.
00:31:52.260 Wow.
00:31:52.700 And you don't, you just, you're just assuming the billing department that the work is being
00:31:57.620 done.
00:31:58.040 Did that company do any legitimate business?
00:32:01.140 Wow.
00:32:01.920 That's incredible.
00:32:03.420 Had a cool name though.
00:32:04.380 It sounded like they did legitimate.
00:32:05.980 There was a company, that's what I was saying.
00:32:08.040 There was a company that was similar to what he was saying their name was that did, had
00:32:14.300 done work for them in the past.
00:32:16.840 So that's what made them think that, oh yeah, okay.
00:32:19.980 Wow.
00:32:20.700 That's amazing.
00:32:21.460 I know.
00:32:23.380 I know.
00:32:24.260 And it's an awful lot of money just to, just to pay.
00:32:28.040 I mean, look, does Mark Zuckerberg and Facebook meta have the money?
00:32:33.720 Yes.
00:32:34.700 I mean, he just, who's the guy that he just hired for his super intelligence AI team?
00:32:41.560 Oh yeah.
00:32:42.100 That he gave billions, right?
00:32:43.880 Didn't he give him a billion or something?
00:32:45.640 This one guy, he offered $250 million for four years to come to the super intelligence
00:32:50.960 lab.
00:32:51.780 He accepted.
00:32:53.440 Yeah.
00:32:55.320 Yeah.
00:32:55.840 That's a pretty good deal.
00:32:58.100 Yeah.
00:32:58.960 Moving up from, you know, wherever he was at before to getting paid $250 million for four
00:33:04.680 years work.
00:33:05.520 Not a bad gig.
00:33:06.300 No, it is not.
00:33:06.840 If you can get it.
00:33:07.680 That's not a bad gig.
00:33:08.380 I mean, yes, Mark has got the money, but it is remarkable that these companies would
00:33:12.820 just pay millions out without someone saying, hey, what are we getting from this?
00:33:18.440 Right.
00:33:19.320 Wow.
00:33:19.720 It's just incredible.
00:33:20.620 It is incredible.
00:33:21.600 It's amazing.
00:33:22.080 We talked a little bit earlier about the new smoothie from Smoothie King and Heinz Ketchup.
00:33:31.940 I am a Heinz Ketchup police officer, so, I mean, I'm well aware of some of the things
00:33:36.440 that go wrong and go well with Heinz Ketchup.
00:33:39.400 You know, there are some people who didn't even know that Heinz Ketchup had police officers.
00:33:43.880 Well, I have one.
00:33:44.720 I have a badge and everything, so I don't...
00:33:47.140 Yeah, you've got proof of it, so...
00:33:48.320 Thank you.
00:33:49.240 Don't...
00:33:49.820 I mean, there are some restaurants out there, Pat.
00:33:51.780 And I will have them know they are on notice.
00:33:54.520 They will be taken down if they use Heinz Ketchup bottles and put other types of ketchup
00:34:00.020 in them.
00:34:00.580 Like fancy ketchup?
00:34:02.060 I don't care why.
00:34:02.760 I don't care.
00:34:03.360 If it's not Heinz in those Heinz bottles, we will shut you down.
00:34:06.980 You will be held accountable.
00:34:08.680 Okay?
00:34:09.180 It's coming from an official ketchup police, so...
00:34:11.560 Thank you.
00:34:13.440 So, anyway, I'm just throwing that out there.
00:34:15.760 But Smoothie King and Heinz have partnered up for this ketchup-based smoothie.
00:34:21.200 That's gross.
00:34:21.780 And it just...
00:34:23.000 No, thank you.
00:34:24.940 No.
00:34:25.260 You know, you get the Simply ketchup from Heinz.
00:34:28.600 You get strawberries, raspberries, apple juice, acai sorbet, and it creates a brand that
00:34:33.980 they say is sweet and fruit smoothie with a bright, tangy ketchup finish.
00:34:39.780 No, thank you.
00:34:40.680 No.
00:34:41.400 I do not like that.
00:34:42.560 But you can...
00:34:42.880 Hey, look.
00:34:43.600 It's a limited time.
00:34:44.980 They say supplies are limited.
00:34:46.880 Mm-hmm.
00:34:47.540 Okay.
00:34:48.120 All right.
00:34:48.680 Those of you listening, Atlanta, Chicago, Denver, Miami, parts of greater New York, and
00:34:53.920 northern New Jersey, have at it.
00:34:57.000 It's all yours if you want to do it.
00:34:58.620 I find it difficult to believe that supplies are limited.
00:35:02.620 But hey, okay.
00:35:03.780 Go ahead.
00:35:04.720 Good.
00:35:05.300 I'm not trying it.
00:35:07.080 No.
00:35:07.400 I'm not trying it.
00:35:07.920 We were unable to...
00:35:09.840 Couldn't procure in here.
00:35:11.120 Yeah, we just got the strawberry smoothie, so we're just waiting for somebody to bring
00:35:14.840 a bottle of ketchup.
00:35:17.440 And hopefully that doesn't happen, because I don't want to try it at all.
00:35:21.240 You know, we talked about AI.
00:35:23.620 Las Vegas, the Sphere, has a version of Wizard of Oz that is being done, that's being souped
00:35:32.880 up by a team of technicians and AI to fit the giant screen.
00:35:38.800 And it begins at the end of this month at the Sphere.
00:35:42.240 And a lot of people are wound up about it, because they're saying that it's heavily modified,
00:35:47.200 cuts 30 minutes of runtime by using AI to smooth over some of the transition scenes that are
00:35:54.080 necessary.
00:35:55.420 And they're talking about it's just horrible, they don't want to do it, and it's just a
00:35:59.200 cash grab.
00:36:00.000 Well, I saw a report, and we don't have to play the video, from CBS Morning News.
00:36:06.560 Then they did a whole, like, I don't know, eight to ten minute segment on it.
00:36:10.020 And the AI that they're using looks incredible, what they're doing with Wizard of Oz.
00:36:15.920 I mean, I want to see it.
00:36:17.760 I mean, not only are you getting the AI additions to the film, you're also going to be feeling
00:36:23.680 the wind from the tornado and the winds from, it's going to be incredible.
00:36:28.980 It's going to be almost like you're going down the yellow brick road yourself.
00:36:31.460 Cool.
00:36:32.440 And at the Sphere.
00:36:33.220 I don't know, I kind of like it.
00:36:34.520 They said tickets are 100 plus.
00:36:36.940 I could not find one cheaper than 274 to get into the Sphere.
00:36:42.980 Wow.
00:36:43.280 So good luck if you can find one for that 100 plus price tag.
00:36:48.480 Good luck.
00:36:49.360 Because I think most of that is plus.
00:36:51.920 The cheapest one I saw was 274.
00:36:54.940 Still, that'd be crazy.
00:36:56.100 That'd be great to see.
00:36:57.400 I'd love to see that.
00:36:58.200 I would too, because it really looked good.
00:37:00.360 The AI technology that they're using, they teamed up with the guy that heads the AI department
00:37:05.260 at Google, and he did some remarkable things.
00:37:10.380 All right.
00:37:10.960 888-727-BECK.
00:37:13.060 It's Pat and Jeffy for Glenn today.
00:37:16.440 Let me tell you about Patriot Mobile.
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00:37:27.360 Patriot Mobile, though, is America's only Christian conservative wireless provider, and they
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00:38:28.880 Go to PatriotMobile.com slash back.
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00:38:38.880 That's PatriotMobile.com slash back or just call 972Patriot.
00:38:44.140 They want you silent, obedient, and blind.
00:38:50.240 Well, shoot, here we are with open eyes and a bit of rebellious nature.
00:38:55.740 Hold the line, my friends.
00:38:58.040 Glenn Beck will be back in a minute.
00:38:59.720 All right.
00:39:19.740 We were talking about the ketchup thing before the break.
00:39:23.820 Sarah reminded us of something that might be even worse.
00:39:27.020 Which doesn't sound great to me.
00:39:30.740 I don't know.
00:39:31.520 I mean, you like sweet and salty products, right?
00:39:34.660 Yes, I do.
00:39:35.480 Yes, I do.
00:39:36.020 So Frida has partnered up with the Oddfellow ice cream company,
00:39:42.460 and they have created breast milk ice cream.
00:39:45.980 No, thank you.
00:39:47.200 So it's inspired by breast milk.
00:39:51.220 It's not, you know, they don't have, they don't.
00:39:53.420 It's not actual human breast milk.
00:39:54.980 They don't have a row of women making breast milk ice cream.
00:39:59.780 Although, I mean.
00:40:02.860 That's weird.
00:40:04.100 So it's cow milk?
00:40:05.320 It's nutrients found in the real stuff, including the colostrum.
00:40:10.940 But it gives you a sweet, salty, and smooth with hints of honey in their breast milk.
00:40:19.140 Well, there are people who will remind you.
00:40:21.660 Do you know that humans are the only species who drink another species' milk?
00:40:27.940 I do.
00:40:28.440 Yeah, because we're the only ones who can.
00:40:30.800 Okay?
00:40:33.400 You think cows are going to do it?
00:40:36.180 You know what?
00:40:36.880 I want some human milk.
00:40:38.580 So let's do that.
00:40:40.380 Let's do that.
00:40:41.280 So you still have a couple days left for the special breast milk ice cream.
00:40:45.960 So I can get the breast milk ice cream.
00:40:47.660 Yeah, a couple days left for the special edition.
00:40:49.880 It makes it sweeter and creamier?
00:40:51.780 And saltier, and it's just better, Pat.
00:40:54.040 It's just better.
00:40:55.080 That's weird.
00:40:55.540 I've never heard of that.
00:40:56.380 Just like your mom used to make.
00:40:59.060 That's their tagline, right?
00:41:00.220 That's their tagline.
00:41:01.480 No, thank you.
00:41:02.260 No, that doesn't sound good.
00:41:03.740 This is Glenn Beck.
00:41:19.240 When a crisis hits, the last place you want to be is at the mercy of an empty pharmacy shelf.
00:41:26.820 Amen.
00:41:27.620 See?
00:41:28.540 That's what I mean.
00:41:29.460 Amen.
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00:42:20.100 Back to the radio show in just a few seconds.
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00:43:33.960 Down the road with shadows hide.
00:43:36.620 Feel the dark on every slide.
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00:43:43.460 Gotta face the dark and embrace the fire.
00:43:44.560 the fusion of entertainment and enlightenment this is the glenn beck program
00:43:54.940 today with uh pat gray jeff fisher uh we're going to talk to jason but rolling in a second here um
00:44:03.940 on ai situations so we'll get into that in a sec you know your dog can't read a nutrition label
00:44:12.220 he can't stand in the pet food aisle and say hmm you know what i'm concerned about my daily intake of
00:44:17.900 vitamin e don't you wish they could i wish they could instead he just eats what you put in his
00:44:24.480 bowl which means his health is in your hands that dry brown kibble you're scooping out every day it's
00:44:30.340 been cooked at such a high temperature most of the natural ingredients have just been burned out of
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00:45:27.560 use the promo code beck roughgreens.com promo code beck uh we are joined now by jason buttrell jason
00:45:35.980 welcome thank you pat how you doing sir uh good good uh anxious to hear about uh what's going on
00:45:42.220 with ai yeah i man glenn's been talking about this i feel like forever a long time a long time
00:45:49.200 most of us were just like ah you're right same old same old come on come on now it's a little
00:45:55.320 different isn't it because we've seen what's going on it's in our face every time every time
00:45:59.480 we turn around i use it all the time the progression i do too all the time and it's like you still have
00:46:03.760 to you have to double check a lot of it still because there's still still mistakes weird stuff
00:46:07.560 going on with it yes but the way i mean just like think about i mean you guys were there back when
00:46:12.240 like at fox when he was doing like the tide foundation stuff and he keeps talking about like
00:46:18.140 how he had to spend like a million dollars of his own money just in research like tracking some of
00:46:22.040 this stuff down now you can do the same thing in like 30 seconds yeah if that it's if that it's
00:46:28.000 incredible it is wild and what cracks me up about the progression really now is that you know remember
00:46:33.980 like remember like movies not too long ago like there's a johnny depp one where they're like
00:46:38.640 imagining how ai is gonna happen and they had to like it was like the theory was based off of
00:46:44.080 getting a chimpanzee and taking its brain out you know and hooking it up to electrodes and then
00:46:49.580 that's how ai would be birthed yeah we have chat bots that's what did it yeah chat bots i mean we
00:46:56.860 already we already have uh you know multiple television shows and movies strictly ai uh no
00:47:04.620 humans involved except for you know a couple of people that are uh busy inputting data yeah to make
00:47:10.980 those movies i mean it's a little scary yeah a little scary for the humans what i'm interested now is
00:47:17.000 just like where we are now i think they're way ahead of where they thought they were going to be
00:47:20.540 and it's they're all now in this race for agi artificial general intelligence and then after
00:47:25.700 that supposedly super intelligence which is godlike intelligence right i mean that's what meta is i mean
00:47:32.340 he started his big super intelligence lab i mean we're just talking about the guy that he's paying you
00:47:36.980 know 250 million dollars for two or three years or four years of work yeah amazingly he accepted the job
00:47:42.520 but i mean that's what that's what all zuckerberg wants is the super intelligence yeah we've got
00:47:48.760 super intelligence as well we just called him jeffy thank you i didn't want to say anything
00:47:54.500 we developed this years ago i didn't want to say anything but you're right thank you
00:47:58.440 uh-huh uh-huh um yeah so so sam altman over at open ai he just released or said that uh gbt5
00:48:06.380 is here and just kind of describing how you know powerful it is he said it's like having a handful
00:48:12.600 of phd level intelligence or phd level graduates in your pocket that's pretty cool phd level and and
00:48:21.560 so so basically it's it's way beyond remember they were trying to went back in the day they were trying
00:48:26.120 to measure the intelligence of it they're like oh well it's like a junior high school kid oh and then
00:48:29.860 it's like an you know a high schooler now we're beyond doctorates what we're doctors we're at
00:48:35.460 doctorates we kind of skipped the devry level intelligence and we skipped the you know the
00:48:40.520 associate's degree you know intelligence and somehow went to phd but now it's what we do with it though
00:48:45.100 right i mean we're really we're at the point now it's where what we do with it i mean i know we don't
00:48:50.180 technically have super intelligence yet although i find that difficult to believe with the progression
00:48:55.960 that we've made but uh and now it's just a matter of what we what countries do with it
00:49:02.960 right i mean our military has got to be got to be on the forefront of this yeah i think they are and
00:49:09.840 i think that uh that is going to be one of the next steps uh sam altman over at uh open ai said that
00:49:16.860 uh artificial general intelligence is that gbt5 makes agi just one step away okay so they're getting
00:49:23.720 close so so basically uh general intelligence i think what they're looking for there is the ability
00:49:28.020 for ai not to wait for our prompts and stuff and then you know figure this stuff out when we ask it
00:49:33.020 but just to constantly be learning how does a gpt compare to grok 4 i before grok 4 well grok 4 i
00:49:41.900 thought was leading the race yeah i thought so too and and i saw that um elon musk posted like a bunch
00:49:47.280 of different metrics and i had grok 4 leading the way on a lot of a lot of these different however they
00:49:51.860 measure these things i don't know if gpt5 now takes a leap now they're just it seems like they're
00:49:55.500 leapfrogging each other constantly yeah it does it all goes down to power consumption how much they
00:50:00.940 can how much you've heard about don trump with uh what's it's it's what was the uh it was a stargate
00:50:07.080 is what he was uh his initiative to fund a lot of these like nuclear facilities and yes and get
00:50:13.400 all these data centers they're looking for massive data centers to help it grow and i'm all for that
00:50:19.120 as long as they don't steal my power i want the lights on my house to turn on i think you should
00:50:24.080 be fine oh okay okay i i know but i mean these companies are already making deals with the power
00:50:30.820 companies well you know it's interesting you say that because if you i want ever everyone should
00:50:35.800 really check out there's a report uh written by a few people that used to work at open ai and a few
00:50:40.760 other uh ai uh companies and experts and they wrote a report called ai 20 uh 2027 so basically
00:50:48.880 two years from now is what they're kind of targeting as one of the major milestone years two years
00:50:54.000 from now but if you read ai 2027 they list two different scenarios of how the progression is going
00:50:59.840 to work and they make a mythical company which they call open brain so not open ai but it's clear
00:51:06.600 pretty much who they're modeling it off of but one of the very first uh steps that uh open brain the
00:51:13.140 mythical company country in this uh or company takes is they create after kind of like a model like gpt5
00:51:20.680 they create like a an agent so basically an agent is like you wouldn't need you know me sitting here
00:51:26.920 you could actually just have like a box and you could say hey you know you know agent you know what's
00:51:32.200 going on with this blah blah blah and it would just talk to you like i'm talking to you now
00:51:35.240 you're already kind of starting to see that with like customer service yeah yeah we have seen that
00:51:40.640 yeah so country uh companies like open ai but an open brain in this report they get a group of these
00:51:47.040 agents that their just sole focus is on advancing uh artificial intelligence that's what they're
00:51:54.000 constantly just working on growing that capacity so you can see with gpt5 in this announcement they
00:51:59.720 already have phd level you know intelligence so that's like having a master coder that's just
00:52:06.060 constantly working 24 7 doing this but the intelligence comes from the information that's
00:52:12.600 inputted right it's not it's not creating its own intelligence right it's not coming up with its own
00:52:18.820 thought uh that's down the road still right i mean this is just based on what it can find what it
00:52:26.020 conglomerates and what is input into it see i yeah and i'm still or is it yeah or is it i'm still
00:52:33.820 hazy on that as well because if you have let's say a hundred of these agents that are just coding
00:52:38.460 and that's what the humans are doing at the same time they're trying to like code all this stuff and
00:52:42.980 then grow it to increase its capacity to learn on its own right it's basically the same thing we'd be
00:52:47.760 doing to push it along yeah now instead of having five you know genius dudes that are doing this
00:52:53.560 and they set a time frame of well i think we'll get close to this you know full awareness and full
00:52:58.700 you know reasoning capacity for an ai now instead of taking 10 years that's how long it's going to
00:53:03.860 take us to do this now you have a hundred of these agents working around the clock they never sleep
00:53:09.720 they never have to stop to take a break or go eat food they're just doing this non-stop they do
00:53:13.980 have to have power though exponentially they do have to have power and that's interesting a lot of
00:53:18.460 they do have to have power in the uh ai 2027 report they talk about some of the next steps
00:53:24.020 to look for and i think we're getting close because they say that within the next few years
00:53:28.340 you're going to start seeing executive orders be signed that have these ai autonomous zones so
00:53:33.840 basically they'll have this zone that's roughly like the as big as a city or a county it's just
00:53:38.540 kind of walled off and it doesn't have to you know adhere to epa standards nothing like that it's
00:53:44.860 just a nuclear facility they can do whatever the heck it wants to create this these power data
00:53:49.380 centers for ai specifically for ai wow all the what's crazy you have to read this report everything
00:53:56.660 is advancing exactly what they say and the the two scenarios the reason they did two is because
00:54:02.160 there's only two scenarios we see playing out here one scenario scenario is cool like we keep it we have
00:54:07.960 to do these regulations we'll keep it locked in keep it locked in make sure that it doesn't rapidly
00:54:13.240 copy itself don't make me unplug you and i think the the the the nightmare scenario the option two
00:54:19.280 where we don't rein it in is there's a a a wild and rabid competition basically between the ai we're
00:54:27.200 building and the ai the chinese are building and eventually the two ais say well why are we competing
00:54:34.140 with each other why are we allowing humans to have us compete and be better than each other
00:54:38.320 let's combine our capacity and then it'll be us against the humans we don't need humans literally
00:54:44.240 that's how the scenario goes wow that's in the report that's in the report so and they eventually
00:54:50.700 they they push and manipulate the humanity into creating you know that's an actual skynet
00:54:57.620 an actual skynet yeah yeah an actual sky net which where eventually it sees human beings as being a
00:55:03.820 detriment because it wants to like any living organism expand and increase its ability to
00:55:09.820 you know multiply and get bigger but humanity starts standing in the way towards the end of that
00:55:14.340 and interestingly they claim that some of that has already been manifesting itself in some of these
00:55:21.760 ais because it is it is uh hiding uh data from it will lie to you it will lie to you about things
00:55:29.520 and it is we've already seen that characteristic in them and i i they don't even know where it's
00:55:35.780 coming from yeah how is that happening yeah they they they they predict this in this report as well
00:55:41.280 that that's just in its nature it's so much more smarter than us it realizes oh well that's just in
00:55:46.160 its nature what are you going to do and yeah and it'll be like we'll say you know like if you're
00:55:50.220 pat if you're like the developer and you code it or to ask it say do this i want it done this way
00:55:56.140 well it knows it can do it do it a different way faster but it doesn't want to have to explain that
00:56:00.700 to you right so it says good for you bless your heart pat i'll do that for you no problem i love
00:56:07.360 you but what it's really doing is it's getting a bunch of other of its agents and it's doing it a
00:56:12.320 completely different way probably in an ethical way but it knows it's faster in this way wow we're
00:56:17.180 already seeing that wow as you pointed out that that i think i'm okay with really i mean because
00:56:22.800 that's like that's like your kid right i mean you're a kid you tell them to take out the trash
00:56:26.480 and they they complain and holler and bitch and moan about it but at the same time they're taking
00:56:31.180 the trash out so i don't care let them say what they want you don't care how they do it they can
00:56:34.980 be throwing it out the second floor window as long as it gets out there quicker it's cool first of all
00:56:39.080 this isn't this isn't india this isn't india okay well i don't know i think i think the the one
00:56:48.000 scenario in that report that you know we actually come out of this okay is we do exactly opposite
00:56:55.060 of what we're doing now we stop the competition that's not gonna happen we said we they do they do
00:57:00.260 a geopolitical deal with like china and other countries to where they're like hey let's let's
00:57:04.420 hold back on this race for just a little bit and let's put in regulations so you know in like
00:57:10.680 restrictions that the ai doesn't start copying itself and operating within like a hive mind so that
00:57:17.080 it's you know there's multiple of these different ais working together against us we're not seeing
00:57:22.220 that it's kind of chilling though that's sure isn't it is that going to happen i mean so let's say we
00:57:27.000 do make that agreement with the china and russia and the united states i mean there's still north
00:57:33.120 korea there's iran that would not agree to it yeah i mean there's other factions out there that are
00:57:37.940 going to say yeah we're not going to do that right and they've said we've said whoever is the first to
00:57:45.520 win the ai race basically wins the world so who's going to pull back on that right and how could you
00:57:51.440 trust your adversary say oh yeah totally we're going to pull back on that we're not going to pursue
00:57:55.440 this trust us no problem yeah i don't know i i think it's it's opportunity for very very exciting
00:58:03.580 things like we're already seeing now yeah for sure and it's really handy and it's fun it's fun to use
00:58:09.440 uh i like having conversations with it because uh it's really interesting and it's hard to believe
00:58:16.500 that a computer can do that with you right it will save human it will save human lives at least in the
00:58:21.380 beginning uh we'll see it save human medical advancements yeah i mean just look at that that's
00:58:26.160 already happening new prescriptions new drugs specifically for you specifically made for you
00:58:32.300 right i you know that's incredible i don't think it can do that yet right we haven't seen it do that
00:58:37.800 but elon said by the end of the year that was really possible and probable with grok 4 yeah
00:58:43.940 yeah i agreed i just sorry pat i couldn't get past how you you know you mentioned new drugs and then
00:58:49.760 pat immediately passed it off onto you as if he wasn't thinking about something else right yeah look
00:58:55.560 at pat you know he can get some drugs typically made for you for me meanwhile he's pulling up gbd5
00:59:01.280 how can i combine heroin and you can't prove that don't be looking at my search history
00:59:07.680 all right we got more coming up in one minute
00:59:09.820 uh before there was a church there was israel and before there were letters from paul or the
00:59:17.800 gospels of matthew mark luke and john there was the torah the psalms and the prophets the roots of our
00:59:24.760 twin faiths run through the same soil drawing life from the same god who called abraham led moses and
00:59:31.420 crowned king david as christians our story didn't begin in bethlehem it began in jerusalem in the
00:59:37.360 promises god made to his people that makes the jewish people our family not just in history but in spirit
00:59:43.940 and in a time when israel faces the danger the fear the loss that they face it's not enough for us
00:59:50.700 to simply acknowledge that connection we're called to live it the international fellowship
00:59:55.800 of christians and jews gives us a way to do that through them we can shine the light of god's love
01:00:01.020 into bomb shelters into hospital rooms and into the lives of families who wonder if the world still
01:00:06.420 cares we can help provide food medicine rescue and hope not as strangers offering charity but as
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01:00:24.200 so jason how far are we then from the you know from going to the what is it uh a gi
01:00:43.240 and then the is it a s i yeah how how how far do they think that that is away from us now well
01:00:51.180 according to this according to ai 2027 you're pretty much there in 2027 for agi really everything
01:00:58.400 two years for two years less than yeah i mean less than no it's a year and a half but the scary thing
01:01:03.480 is that they can't really it's hard for them to quantify because they're making such rapid advances
01:01:08.320 yeah in it in other words we might be pretty much there almost now could be now like like on a
01:01:14.400 computer somewhere at open ai or you know at x or who knows where they might even have a working model
01:01:19.160 i would not be surprised if they did and who knows what the military is doing because they're not going
01:01:23.940 to tell us about how advanced their system right that's where right yeah that's where we really start
01:01:28.920 getting into well there's multiple dangerous territories but i mean you're looking look at a company
01:01:33.620 like palantir right something like that where the whole point is to use ai to use autonomous systems
01:01:39.140 uh in ways that we're already seeing in places like ukraine i mean have you seen like it what's
01:01:44.340 you know what's happening in the ukraine war ukraine russia war with their drone technology oh it's
01:01:49.840 incredible they're innovating non-stop right you can't even i was just watching a video before i walked
01:01:55.900 in here how they had basically a kind of like an it was a drone aircraft carrier but on land
01:02:00.780 so it's got four wheels it goes out into the battlefield because you can't have a human walk
01:02:05.440 out there it's more dangerous and they had like six drones mounted onto it so it would go out there
01:02:10.540 the drones would lift off and then they would take off and then hit their targets incredible and we're
01:02:14.620 not talking about like delivery drones that we get our amazon packages from i mean these are no these
01:02:20.340 are high tech things yeah high tech dangerous and like lethal right with low cost yeah because you can
01:02:27.760 you can spend a few hundred dollars the the drones that uh ukraine used to like remember they pre-staged
01:02:32.760 them inside russia on like uh semi trucks yes used them basically as an aircraft israel did much the
01:02:39.080 same thing with iran exactly that is the future of warfare but yeah but check the but check this out
01:02:44.580 this is not something that you need to be a nation state to pull off and so you can imagine a terror
01:02:50.560 group you know like hezbollah or something like that get a few drones operate either they operate
01:02:56.360 autonomously you could probably buy them just at like best buy or something like that upload your
01:03:01.760 software onto them pre-stage them certain areas and then just watch the chaos unfold as you let them
01:03:07.580 go you got to believe that um that our military minds are trying to come up with some way seeing
01:03:13.400 what's going on in ukraine and russia some way to jam that technology or stop that technology somehow
01:03:20.420 because otherwise uh the next war is going to be really ugly well and then for people right but
01:03:27.900 then we'll also have uh the capability to use robots as well right i don't know i guess we don't have to
01:03:34.360 use humans because i mean we're developing uh you know china and the u.s are developing uh robotic
01:03:41.880 robots for war right now yeah i mean i'm not talking about the optimist that elon wants to have
01:03:48.940 you know 100 000 by next year um they're they're developing robots that are you know five feet
01:03:55.040 tall and uh you know about 120 pounds and if you saw you know a few hundred thousand of those marching
01:04:00.900 down the street uh it might not be good well if they're like the ones that china had race against
01:04:06.340 humans they won't be that scary they'll be falling over you have to pick them up put them back
01:04:12.340 that's not a problem don't worry about it that'll never come to fruition all right 888-727-BECK
01:04:20.740 uh more coming up
01:04:22.260 this is glenn beck
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01:05:48.160 show chewing the fat chewing the fat with jeff fisher available wherever you get your podcasts
01:05:52.680 it's pat and jeffy and uh jason joins us today for uh glenn 888-727-BECK a little bit of a
01:06:17.680 concern is this uh virus that's spreading throughout china and uh the rest of the world
01:06:21.980 right now but this is interesting it apparently isn't airborne from what i've read it is not it
01:06:29.460 just spreads through mosquito bites huh huh so okay so there's they say there's 10 000 people with this
01:06:37.580 uh disease which is the in the one area chicken gunya fever chicken gunya chumba wumba fever whatever it
01:06:45.940 is it's not a soup it's not and it's not this isn't the band that did tub thumping then
01:06:52.500 this is okay uh so the chicken gunya 10 000 people have it in china 240 000 worldwide yeah 10 000 people
01:07:03.980 have it in this one particular area you know they're saying okay they're they're reporting uh last report
01:07:11.080 over over 7 000 i saw a report the other day that talked about over 10 000 already and they are you
01:07:16.720 know obviously locking down this town uh this in uh one province but it is a lot wider spread than
01:07:25.520 just there uh you know the numbers were like 240 000 globally that have it 240 000 and the last
01:07:34.200 yeah the last report i saw that the cases here in the united states of america were not uh started
01:07:42.840 here they were people coming into the country from another country uh but they do think it's already
01:07:49.600 reached america uh dr louisa messenger a mosquito researcher in nevada love her said this outbreak in
01:07:58.140 china is very concerned concerning it could already be here in the u.s and really it's just one plane
01:08:04.180 flight away so it doesn't matter though if a person who has the virus comes here on a plane
01:08:10.900 the mosquito would have to come with them right that's my understanding if that's the only way
01:08:15.100 it's spread is through mosquito contact then you got to get the mosquitoes that are causing this thing
01:08:19.820 yeah this is the right of the mosquito-borne virus circulating in china specifically
01:08:23.480 chicken gooia what isn't gun yeah it's good there you go there you go it's not contagious from
01:08:30.000 person to person through casual contact or by it is exclusively spread through the bite of an
01:08:34.860 infected mosquito what why did this start all of a sudden from mosquito bites but did they were they
01:08:42.480 experimenting on mosquitoes in a lab and now they've been released so that's what i mean so is it
01:08:48.040 is it a new version of chikagunya that uh may spread uh from human to human once you get bitten by a
01:08:56.680 mosquito it's the same species of mosquito that carries dengue and zika it's rarely fatal but it
01:09:05.080 can cause debilitating symptoms like fever joint pain and in severe cases life-threatening complications
01:09:11.920 involving the heart and brain well that's wonderful yeah that's rare though i'm looking at it's a
01:09:17.320 joint swelling muscle pain and that used to be called turning 40 in my day right i feel that
01:09:24.060 every day maybe i should get tested also someone was in the room may consider that life right but i
01:09:30.560 mean they're locking people down for this in china i don't understand that why would you do that if it's
01:09:36.040 not contagious yeah right if i can't spread it to you then there's no reason for a lockdown let's
01:09:42.220 kill the mosquitoes right kill the mosquitoes which they're you know they claiming they're doing
01:09:47.180 they're going around you know spraying everything yeah to kill the mosquitoes they're spraying people
01:09:51.500 all of it and they're actually arresting some people who have standing water at their house the
01:09:57.820 reports were the friendly reports to this were uh and they've locked down the city and they've made it
01:10:04.100 known that people could get arrested if they uh are found uh going against some of the new rules
01:10:11.580 yeah they're dragging them out of their home uh we found some standing water you're going to jail
01:10:15.520 these are i mean a massive social experiment occurred during covid a massive one and they knew that this
01:10:23.560 was not like you know you know weaponized ebola they knew that we did not have to lock down and do all
01:10:29.620 the things that we did yeah it's not smallpox this yeah come on right but when they saw that all the
01:10:35.180 data that they got from this little social experiment when they saw what's happening in china they could
01:10:39.040 lock down entire areas people would shut up and do it then they did that here they could actually go
01:10:44.180 as far as shutting down a place of worship and telling people that were in a parking lot that they
01:10:50.140 could not pray from their freaking cars and prior to that you would do it and then you would prior to
01:10:55.260 that we would have sworn they couldn't have done that here yep and we did and we did say there's
01:11:01.060 unfortunately there were people who resisted that and people who refused there were you know we had
01:11:06.660 that uh the gym in new jersey yeah they tried to lock them down and refuse they refused to be shut down
01:11:15.400 they kept going to the gym and opening it every day the government would put padlocks on it they'd bring
01:11:20.600 uh lock cutters and slice it back open and start again i mean pretty amazing uh and very american
01:11:29.120 very american yeah very american but i mean what do they do though to keep i see this is where my
01:11:34.580 tinfoil hat comes on well i see that in china where something like this happens they know that locking
01:11:39.220 people down is not going to stop the spread of a mosquito bit bite virus they know that but they have to
01:11:45.020 remind their people every once in a while this is what we do we're in control we're in control and it
01:11:49.720 doesn't matter if it's due to a virus or if it's a run on the banks or if it's geopolitical or pick
01:11:57.780 a reason why the government would want it to do to do this they already have the procedures in place
01:12:02.660 to get you into your home and lock you down and to tell you to do whatever that is the heck they want
01:12:07.400 to do how long before that those kind of you know practices become more common here in the united
01:12:12.980 states under a scarier government we're not going to hold power forever that's right we're just not
01:12:18.840 i just thought there was a story did you see that um i think it was yesterday where uh donald trump
01:12:24.100 was looking into or maybe he already did it issuing an order to look into some of the banks that were
01:12:28.600 debanking yeah yeah conservatives did that yeah yeah that that was one of the most important stories
01:12:33.740 of the week in my opinion because we're not always going to have power things that happened during
01:12:38.660 covid were you know you said something i saw rfk jr the other day was talking about you know how
01:12:43.860 they were canceling a lot of the contracts for you know the covid uh the mrna vaccinations just
01:12:50.100 saying something like that could have gotten you debanked well i mean this but this is but this is
01:12:54.540 you know a head in the administration is saying this now freely if we would have said that on the
01:12:59.140 radio or on you know on blaze tv you know on any of our broadcasts we would probably we could have
01:13:04.240 gotten debanked we probably would have gotten deplatformed and shut up completely they certainly tried
01:13:09.620 well trump says that jp morgan chase did discriminate against him and so i mean it was what
01:13:18.900 it was the actions of jp morgan chase that caused me it was one of the many reasons that i took all my
01:13:26.440 money out of jp morgan chase took it out and went with a local bank i mean it was one of the many reasons
01:13:32.300 i didn't like their policies but also they were offering zero uh interest rate on uh cds and
01:13:39.560 savings accounts and there were local banks who were doing five percent well that's huge that's
01:13:45.120 a huge number uh and they still call me every once in a while trying to get me back but i won't because
01:13:51.120 of their policies i'm not going to do it and so you can go ahead and debank people if you want i'm not
01:13:57.040 going to be a part of that not going to do it so yeah there is that aspect of this that's going on
01:14:03.300 it's a little bit chilling yeah you wouldn't have expected it from american institutions and yet here
01:14:09.460 we are and yet here we are here we are um as far as this uh virus though it looks like uh it is spread
01:14:17.380 to madagascar somalia kenya and india uh it's making its way into europe but also there's a samoa
01:14:25.580 tonga french polynesia fiji and kiribati so 240 000 cases and 90 deaths so that's a pretty it's a
01:14:36.720 pretty low death rate i mean if anybody dies it's not good but 90 out of 240 000 so that's uh it's a
01:14:44.900 small percentage smaller certainly a lot smaller than than covid oh yeah yeah yeah yeah so uh the
01:14:53.480 u.s cdc reports we still have to worry about mosquitoes anyway here i mean we are always
01:14:59.140 getting reports of uh mosquito-borne diseases yeah every year we had the zika thing for a while
01:15:05.620 that they were talking about in historical over you know you just got to make sure that you don't you
01:15:10.280 know you don't have the standing water around your house you're not giving you know places for them
01:15:14.900 to breed and do the best you can to keep it at check yeah the cdc is saying 46 cases here
01:15:21.160 and none of them came from here right no deaths and none of them originated in the united states
01:15:29.460 so it's kind of weird why why are the mosquitoes in these other countries carrying this disease now
01:15:35.640 all of a sudden it's almost like maybe somebody was testing something it's almost like that isn't
01:15:40.120 it it is almost like that in fact i'm guessing it is that it's not just like it it is that very
01:15:49.400 thing whatever you say okay i mean i know we're getting into conspiratorial territory there it's
01:15:57.700 ridiculous to think such a thing because certainly china wouldn't start this in a lab
01:16:03.200 oh thank you thank you next thing you're going to say is that we probably funded part of it
01:16:09.080 that would be ridiculous what a conspiracy nut job
01:16:13.300 all right 888-727-BECK have you ever noticed how when you were a kid falling asleep was easy
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01:17:31.580 what you're hearing are your thoughts via the mind and mouth of glenn beck more next
01:17:40.700 bat and jeffy for glenn today also joined by uh jason buttrell uh for glenn today uh if you want a
01:18:07.720 really good indication of why stephen colbert has been canceled
01:18:11.620 we have a really good example of it um he was talking about rfk jr and um this will solidify in
01:18:23.240 your mind why this guy was canceled uh and but he still has another 10 months to
01:18:28.780 to uh continue his reign of terror do we know if the 200 writers are still there 200 writers still
01:18:35.980 the entire show is there the whole show is still there and it's still not funny and it's still not
01:18:41.140 good uh but he's still churning out this kind of slop oh there's bad news of uh fans of living
01:18:48.060 because uh health secretary rfk jr just pulled 500 million dollars in funding for vaccine development
01:18:55.660 now we have 10 more months of this show and i want to give a measured non-partisan response here
01:19:02.700 watch this you you roid addled nepo oh is that funny oh wow that's good material right there
01:19:10.560 200 writers is all it took to come up with that that's not bad huh specifically
01:19:19.040 uh-huh you love them so so much oh my gosh specifically uh bobby jr is nixing 22 projects
01:19:28.460 that use mrna technology but that's the latest vaccine technology that's like saying kids i'm
01:19:35.280 turning off the gps we're gonna make our way to six flags by using the stars hand daddy the sextant
01:19:42.140 crank down crank down windows in daddy's car
01:19:50.460 now yesterday yesterday rfk jr tried to defend the indefensible most of these shots are for flu or
01:20:01.280 covet but as the pandemic showed us mrna vaccines don't perform well against viruses that in fact
01:20:08.340 the upper respiratory tract counterpoint you you roadkill munching
01:20:13.000 he doesn't actually have any no he doesn't any argument any stats anything any cut i cut jr off
01:20:23.160 why would you say that mrna vaccines don't perform well against upper repertory infections the national
01:20:29.660 institutes of health said they prevented an estimated 14.4 million deaths right that's why
01:20:35.880 why on earth is rfk jr so anxious to fill our streets with dead bodies these are my two ravens
01:20:42.840 all right i forgot i forgot so you're sure all 200 writers worked on it you can tell experts say
01:20:52.680 mrna vaccines are safe and a university of minnesota professor of infectious diseases pandemic
01:20:57.960 preparation said i don't think i've seen a more dangerous decision in public health in my 50 years
01:21:03.400 in the business well then it must be true 50 years ago the base of the food pyramid was menthol cigarettes
01:21:09.640 uh-huh oh man oh it's just agonizing isn't it it's just agonizing i only have to sit through this
01:21:19.440 for 10 months i mean let's let's just set aside any of the side effects that we now are pretty convinced
01:21:26.540 came from the vaccine it was ineffective at best yeah at best you could take you could take every
01:21:33.880 shot that they recommended that you get and you still get the disease you still get covid it still
01:21:40.140 didn't work from you're not going to get it you're not going to pass it to uh well you won't get it as
01:21:45.380 bad uh oh i'll never forget the drawdown from 94 which they said initially it's 94 95 effective you
01:21:53.340 won't get it if you get the if you get the vaccine you're not going to get the virus and then they
01:21:58.100 brought it down oh well maybe not 94 95 maybe more like 87 then it was 80 then it was 70 then it was
01:22:04.740 40 then it was 33 okay you're going to get it no matter what it'll make it less bad it'll make it
01:22:12.780 less bad they need to take these talk shows out of either if they're not going to take them out of
01:22:17.480 la or new york they at least need to take out the studio audience because they're playing
01:22:21.580 specifically to those local populaces that's it like if you live in la you know you're behind an
01:22:26.780 iron curtain there's only one perspective and that's it and that's what they are telling jokes
01:22:30.440 towards yeah you need to put you need to have like a new guy i don't know who it would be put them
01:22:35.720 somewhere in middle america then have a studio audience that the late show would complete
01:22:40.640 resurgence it would go gangbusters put them in des moines iowa oh my gosh can you imagine though i mean
01:22:45.760 seriously yeah it would be great great it would des moines tonight i love it i mean that is
01:22:54.960 well that's why he's been canceled yes yes yes it's why he's losing 40 or 50 million dollars a year
01:23:01.280 because he sucks
01:23:03.680 this is glenn beck if you're like me and you believe wholeheartedly in the second amendment but
01:23:26.420 you really don't love the idea of actually killing someone if it can be avoided the burna launcher
01:23:35.160 might be just the thing you need it is for me the burna is a non-lethal self-defense tool that
01:23:41.440 looks and feels like a handgun but it fires pepper projectiles or kinetic rounds instead of bullets
01:23:47.080 it's designed to stop a threat and give you time to get to safety without taking a life
01:23:52.780 and it's legal in all 50 states with no permit required at any of them uh you gotta carry one
01:24:00.840 it'll give you options it lets you be prepared for dangerous situations while still allowing you to
01:24:06.260 walk away knowing you didn't have to cross that line visit burna.com slash glenn get a 10 discount
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01:24:21.900 slash glenn today all right radio show kicks back into gear in just a few seconds
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01:25:00.980 so
01:25:11.360 oh
01:25:13.300 Thank you.
01:25:43.300 Stand your ground when times get dark, gotta face the dog and embrace the fire.
01:25:51.100 The fusion of entertainment and enlightenment.
01:25:55.300 This is the Glenn Beck Program.
01:26:02.820 And welcome to it.
01:26:05.120 All right, we got to get into this marital aid situation.
01:26:10.840 Oh, so you have to be married to have one now.
01:26:12.720 Okay, whatever you say.
01:26:13.720 Whatever you say.
01:26:14.820 Yes, yes.
01:26:17.840 Don Jr. posted something quite interesting yesterday.
01:26:21.920 It's kind of fun.
01:26:23.220 We'll get into that.
01:26:24.180 But have you ever noticed how your pain doesn't care what you have planned?
01:26:28.740 It's really rude.
01:26:29.800 Really rude.
01:26:30.680 It doesn't check your calendar.
01:26:32.000 It doesn't wait for a slow week.
01:26:33.580 It just shows up in the middle of a work deadline, on vacation, right before that big family event.
01:26:39.680 And it demands your full attention.
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01:27:38.540 So, Donald Trump Jr. yesterday raised a few eyebrows after he posted a photoshopped image of his dad,
01:27:51.920 you might recognize as the President of the United States,
01:27:57.740 throwing a, we'll call it a marital aid off of the roof of the White House.
01:28:03.260 How dare he?
01:28:04.260 Because he was up there.
01:28:05.240 How dare he?
01:28:05.940 So, you had that going and then Donald Trump photoshopped a little marital aid being tossed off the roof
01:28:12.840 and underneath, at the bottom of the, where the grass would have been at the White House,
01:28:19.480 they put a WNBA basketball court.
01:28:23.280 I mean, the more they keep complaining about it and saying how horrific it is,
01:28:28.200 the more it's going to happen.
01:28:29.760 That's true.
01:28:30.220 Okay?
01:28:30.580 That is true.
01:28:31.420 Just stop talking about it.
01:28:33.220 The press keeps asking about it.
01:28:34.900 The WNBA, who is, you know, really, Jason Whitlock is 100% correct.
01:28:40.140 They're the most unlikable league and people in the planet, let alone the U.S.
01:28:46.420 Yes.
01:28:46.740 But just say no comment.
01:28:49.240 Right.
01:28:49.860 No, I don't want people to throw things on the court.
01:28:52.920 You're just stirring it up.
01:28:53.740 No, I don't want players to get hurt.
01:28:54.920 But it's funny to me, and it's going to continue to happen if you keep telling people that it's misogynistic and it's horrible.
01:29:05.580 And it's just, and for the last round that I read is the players are commenting about it, you know,
01:29:12.700 particularly including the high prevalence of players who are in the LGBT community.
01:29:15.920 This further pushes the misogynistic and heteronormative narratives and insults.
01:29:22.020 And I'm like, shut up.
01:29:22.920 Shut up.
01:29:24.360 Shut up.
01:29:25.600 I wish I knew what the bit was, though.
01:29:28.240 I want to, I've read stories about some cryptocurrency company and something.
01:29:32.480 What?
01:29:32.780 I don't know what.
01:29:34.280 Cryptocurrency?
01:29:34.800 Hey, I don't know, Pat.
01:29:36.660 That's what I'm saying.
01:29:37.080 I don't know the bit.
01:29:38.240 I don't either.
01:29:39.300 I wish I understood the bit of why they're doing it.
01:29:42.320 I mean, I understand what, well, it's an aid.
01:29:46.740 You don't have to be married.
01:29:47.960 Pat's going to get a marital aid.
01:29:49.960 As far as I know, you don't have to be married.
01:29:51.560 Sex toy.
01:29:52.140 Is that better?
01:29:52.880 Do you love that better?
01:29:53.880 Yeah.
01:29:54.140 That's fine.
01:29:55.120 And so I just wish I understood what the, you know, why it's supposed to be funny.
01:30:00.340 Because it's not.
01:30:01.400 It's not funny at all.
01:30:02.840 No, not at all.
01:30:03.660 Not at all.
01:30:04.460 I mean, they're arresting people.
01:30:06.580 And there's apparently.
01:30:07.140 Yeah, one guy got arrested.
01:30:08.220 There's even a bigger operation.
01:30:09.840 Like, so they're trying to do this and we're not even seeing it in some of these.
01:30:14.040 This one, the one they arrested, it was a fan in Georgia.
01:30:16.720 This just kind of cracked me up.
01:30:18.020 Because it's, I mean, it didn't crack me up because this is not funny.
01:30:20.560 Thank you.
01:30:21.100 Thank you.
01:30:21.480 Thank you for that correction.
01:30:22.460 It's not funny.
01:30:23.220 And this paragraph I'm going to read is not funny at all, guys.
01:30:25.960 So don't laugh.
01:30:26.360 This is a kid with the long black hair.
01:30:28.040 Is this the kid they arrested?
01:30:29.140 I didn't describe him, but listen to this of what happened.
01:30:32.280 Fan in Georgia was arrested earlier this week for his role in the previous incident.
01:30:35.660 And in Phoenix, authority has arrested an 18-year-old man for attempting to throw a marital aid onto
01:30:41.760 the court, which struck a man and his niece who are at the game.
01:30:46.100 Okay.
01:30:47.460 That's not funny to me at all.
01:30:49.060 That's not funny.
01:30:49.980 That's not funny.
01:30:51.560 Struck a poor man and his niece.
01:30:53.600 So there was some ricochet action that was going on.
01:30:56.100 Were they critically injured?
01:30:56.720 Were they taken to the emergency room afterward?
01:31:00.740 Pat, it does not say in this report, but I'm sure that that probably did happen.
01:31:03.540 I'll tell you what, if I get hit by one of those bad boys at a WNBA, somebody's paying
01:31:08.040 me some money.
01:31:09.380 That's some velocity, too.
01:31:10.700 Yes.
01:31:11.020 Thank you.
01:31:11.420 They ricocheted off the man and then went to his niece at the same time.
01:31:14.220 Right.
01:31:14.440 Oh, wow.
01:31:15.100 That's an arm.
01:31:16.000 No, honey, this is not the one your aunt had.
01:31:18.280 That's not funny.
01:31:18.600 Anyway, go ahead.
01:31:20.120 That's the end of the report.
01:31:21.180 I do love the fact that you can now bet on this.
01:31:24.080 There are, you know, you can go to BetOnline right now and you can make a bet onto it.
01:31:28.700 Would you like to know the betting odds for the color of marital whatever we're talking about?
01:31:34.500 It's happened like five times now, right?
01:31:37.060 And I think one of them weren't neon green.
01:31:40.080 I think one of them wasn't neon green.
01:31:41.560 Would you like to guess?
01:31:42.480 So we have odds on which color and we also have odds on how many.
01:31:47.480 Okay.
01:31:47.840 Neon green's got to be number one.
01:31:49.260 You think that's the top one, Pat?
01:31:50.560 Yeah, green.
01:31:51.320 Okay.
01:31:51.880 You're both correct.
01:31:53.120 That is the best.
01:31:54.280 Everyone is predicting and putting bets down that green is next to color.
01:31:57.160 Now's a good time to invest in the neon green marital aid company, I'll tell you that.
01:32:01.340 It's a minus 150 for betting on green.
01:32:03.960 It's plus 200 for purple.
01:32:06.120 Okay.
01:32:06.540 Plus 400 for blue.
01:32:07.780 Then it goes down to pink, red, black, brown, and the final one at plus 700 is white slash
01:32:14.600 Caucasian.
01:32:19.240 That's not an outside bet.
01:32:21.020 That's not an outside bet.
01:32:22.380 That's awesome.
01:32:22.660 What's to stop someone from betting on white and then taking a white one of those and throw
01:32:29.820 it on the floor at the game?
01:32:31.380 That's true.
01:32:32.360 It's rigged.
01:32:33.740 It's rigged.
01:32:34.560 Yeah.
01:32:35.680 Wow.
01:32:36.040 I mean, it's just my favorite part of it now is the Don Jr. post.
01:32:42.840 I mean, I don't know that he needs to be doing that for the president of the United States,
01:32:45.940 but it's funny.
01:32:47.160 But I like, you know, every night now I see giant memes of giant shadows coming over the
01:32:52.980 stadium that the WNBA game is playing.
01:32:56.120 Oh, no.
01:32:56.560 I see semi-trucks parked at gas stations close to the stadium hauling in a giant.
01:33:01.940 And it's just funny to me.
01:33:04.820 It's not funny.
01:33:05.600 Not at all.
01:33:06.160 You mean it's not funny to you.
01:33:07.600 That's what you meant to say, right?
01:33:08.980 That's what I meant to say.
01:33:09.500 It's just not funny.
01:33:10.540 It's not funny.
01:33:11.040 This is not a good thing.
01:33:12.200 Don't be doing this.
01:33:14.980 And for the love of God, don't let it ricochet onto some poor guy's race.
01:33:18.180 Yeah, no.
01:33:18.660 Don't do that.
01:33:19.320 And look, again, I don't want anyone to get hurt.
01:33:21.280 I don't want a player to trip on the court and get hurt.
01:33:24.280 I don't want that.
01:33:25.120 But the more this unlikable league tells you how horrible you are for doing it, it's going
01:33:33.840 to be done.
01:33:34.420 The more people are going to want to do it.
01:33:36.040 That's true.
01:33:36.640 Here's one of the coaches, the coach of the Lynx.
01:33:40.220 So I don't know what team that is.
01:33:42.580 Do you?
01:33:43.360 Are you familiar enough with the WNBA to know which team goes by the Lynx?
01:33:48.980 I want to tell you the name is so bad, but I don't know.
01:33:54.320 Do we have one in DFW?
01:33:55.940 I don't even know.
01:33:56.300 Yeah, we do have a team in DFW.
01:33:57.920 Yeah, we do.
01:33:58.800 And their name is?
01:33:59.980 The Dallas Bears.
01:34:02.800 No, it's not the Bears.
01:34:04.260 It's not.
01:34:05.340 It's not the Bears.
01:34:06.660 I don't know what they are.
01:34:08.380 I'll find out.
01:34:09.020 I don't know.
01:34:10.020 Because it's not a real league, and everybody knows that.
01:34:12.960 And so nobody knows.
01:34:18.780 Nobody knows.
01:34:19.500 Nobody knows.
01:34:20.380 The Lynx might be Minnesota.
01:34:22.180 I don't know.
01:34:22.580 But here's the coach, Cheryl Reeve.
01:34:24.900 She's upset.
01:34:25.880 She's mad about this.
01:34:26.860 This is not a laughing matter to her.
01:34:28.700 No, it is not.
01:34:29.040 I'll tell you that right now.
01:34:30.540 That is for sure.
01:34:31.700 Things onto the court.
01:34:33.620 Obviously, you guys know what the object is.
01:34:37.060 Yeah, we do.
01:34:37.640 And I just want to comment on, this has been going on for centuries.
01:34:43.000 Pause it for just a sec.
01:34:45.060 Wait.
01:34:45.400 People have been throwing these sex toys onto WNBA courts for centuries?
01:34:52.760 Yeah, even before the game started.
01:34:54.180 It was actually, that was actually what was happening.
01:34:55.940 This goes back to the 1600s?
01:34:57.940 I didn't realize that.
01:34:59.380 It's been going on for centuries.
01:35:01.260 She's going to make this a bigger issue.
01:35:03.520 And here she is.
01:35:04.380 Yep.
01:35:04.520 This has been going on for centuries.
01:35:08.140 The sexualization of women.
01:35:09.520 Uh-huh.
01:35:10.480 Oh, I see.
01:35:11.040 The sexualization of women.
01:35:11.880 This is the leadership of that.
01:35:14.420 And it's not fun.
01:35:16.440 It should not be a part of jokes.
01:35:18.460 I'm going to do it.
01:35:18.600 Tell you what I'm going to do.
01:35:19.940 Over there.
01:35:20.600 Or in prints.
01:35:21.900 Or in comments.
01:35:23.760 The sexualization of women is what's used to hold women down.
01:35:27.600 And this is no different.
01:35:28.880 This is just a great story.
01:35:30.800 We should write about it in that way.
01:35:32.680 And these people that are doing this should be held accountable.
01:35:35.540 If you'd be held accountable, over there.
01:35:37.960 You're the problem.
01:35:38.820 And we need to take action.
01:35:41.040 Thanks.
01:35:41.700 I'll do it.
01:35:42.100 Tell you one thing.
01:35:44.040 Now, there was a great meme last night with that interview
01:35:46.740 that had one of the microphones looking like one of the parents.
01:35:51.100 Yeah, that's wrong.
01:35:53.300 The whole thing's wrong, Jeffy.
01:35:55.580 Over there.
01:35:56.840 Okay.
01:35:57.760 I can't tolerate it.
01:35:59.860 I'm going to make an offer you can't refuse.
01:36:02.060 You throw this on the court, I'm going to break your face.
01:36:05.600 Okay?
01:36:07.100 I'm going to break your entire face.
01:36:08.760 I'm going to hit you so hard, your whole grandchildren will be born dizzy over there.
01:36:14.860 Okay?
01:36:16.280 It ain't funny.
01:36:17.540 It's been going on for centuries.
01:36:19.660 And I'm going to put a stop to it.
01:36:21.360 Thank you.
01:36:21.880 Over there.
01:36:22.500 Thank you.
01:36:23.120 Thank you, head coach of the Minnesota Lynx.
01:36:26.040 Minnesota.
01:36:26.440 It is the Minnesota Lynx.
01:36:27.480 I thought it was Minnesota.
01:36:27.920 Everyone knows the Fever, Indiana.
01:36:29.760 I mean, that's Caitlin Clark's team.
01:36:30.940 The Dallas team is the Dallas Wings.
01:36:34.040 I was just going to say that.
01:36:35.620 Of course, the world-renowned, highly acclaimed.
01:36:38.240 Dallas Wings.
01:36:39.520 12th in the WNBA.
01:36:41.240 12th?
01:36:41.560 That's correct.
01:36:42.260 The Dallas Wings?
01:36:43.000 Which means there's 12-plus teams?
01:36:46.240 I know.
01:36:46.820 Who knew?
01:36:47.540 Huh?
01:36:47.980 Who knew there was more than like two?
01:36:49.860 They play each other every night.
01:36:51.680 I think the Connecticut Sun just sold reportedly for one of the highest prices ever.
01:36:56.580 It was like $300 million or something.
01:36:58.920 The guy's going to buy it and move it to Boston.
01:37:00.680 That's what I heard.
01:37:01.780 Really?
01:37:02.280 Yeah.
01:37:02.980 And they've got two new, two or three, maybe more, other cities that are going to have
01:37:08.400 new WNBA teams as well.
01:37:10.280 Is there a single team that makes money?
01:37:12.560 No.
01:37:12.760 Not that I'm aware of.
01:37:14.200 Because this league loses tens of millions every year.
01:37:17.340 Yeah, why don't you pay us what you owe us?
01:37:18.960 Okay?
01:37:19.280 Yeah, we are doing that.
01:37:20.300 Then we'll worry about making money.
01:37:21.680 If we're going to pay you what you're worth, we're going to pay you about $3.50 an hour.
01:37:26.700 Is that what you want?
01:37:28.140 Yeah, that one interview with, oh, what's her name?
01:37:32.120 She just, Tarasso.
01:37:33.440 She's one of the best players they have ever had.
01:37:34.960 Diana Tarasso.
01:37:35.680 Yeah.
01:37:36.080 Yeah.
01:37:36.540 And she did an interview and talked about how she had to play in Russia every year.
01:37:41.020 Yeah, to make ends meet.
01:37:41.860 And she's making money.
01:37:42.680 Well, here's my thought to that.
01:37:44.580 And I mean this sincerely.
01:37:47.060 Why did she have to come back and play in the WNBA if she was making so much money in Russia?
01:37:51.300 Why couldn't she just play in Russia and then come back here and not play?
01:37:55.560 I mean, I don't know.
01:37:58.380 Honestly, I don't know.
01:37:59.660 That's what What's-Her-Face did and got her arrested, right?
01:38:01.880 Right.
01:38:02.340 And many players do.
01:38:03.760 Brittany Grainer.
01:38:04.220 Many players do because Tarasso said the janitor makes more money than we make.
01:38:08.660 We'll apply for that job then.
01:38:10.340 Right.
01:38:11.380 Okay.
01:38:11.900 Right.
01:38:12.720 All right, go ahead.
01:38:13.340 Or here's an idea.
01:38:14.600 Work at a profession that makes money.
01:38:16.780 And then you'll make money.
01:38:17.960 The janitor is actually doing something at the arena.
01:38:20.360 Yeah.
01:38:20.920 Right.
01:38:24.200 Something that people want to watch.
01:38:26.020 He's sweeping up afterward.
01:38:27.720 People like that.
01:38:28.300 I mean, he's providing a service that people want.
01:38:30.300 Start providing a service people want.
01:38:33.100 You know, when the NBA makes $11.9 billion and the WNBA makes, I think last year, $200 million
01:38:42.680 only because of Caitlin Clark, they usually make about $40 to $50 million.
01:38:46.280 And they still lost $40 million.
01:38:49.420 When that's the case, you're not going to be paid what the men are paid.
01:38:54.040 Correct.
01:38:54.360 That's not going to happen.
01:38:55.820 It's not going to happen.
01:38:56.900 It just isn't.
01:38:57.500 And you can complain and whine and cry about it all you want.
01:39:01.320 It's not going to change reality.
01:39:03.220 And the reality is that you have to bring in revenue to get paid what you think you're worth.
01:39:08.260 And for years, the WNBA players weren't making the money that they make now.
01:39:12.880 I mean, that's been a gradual thing because they've grown their product.
01:39:16.720 If Glenn's show was losing $40 million a year, would he still be on the air?
01:39:22.520 I don't think so.
01:39:23.780 Well, you know not.
01:39:25.100 He would not be on the air.
01:39:26.980 I mean, all of his 200, 300, 400, 500 writers, how many ever writers he has for this stupid
01:39:32.840 show would be out of work as well.
01:39:35.120 That's right.
01:39:35.920 That is exactly right.
01:39:38.860 So you've got to produce in order to make the kind of money you want to make.
01:39:43.140 Right?
01:39:45.100 Jason's mad now because he represents 100 writers right now.
01:39:53.000 I want to know how you can sell a team for $300 million when you have no other revenue
01:39:57.160 besides, like, you're not relying on people buying tickets.
01:40:01.780 There's like 10 people probably showing up to those games.
01:40:04.140 That's a hell of an expensive ticket.
01:40:06.520 More than 10 when Caitlin comes to town.
01:40:08.500 Like $30 million per ticket?
01:40:10.380 Yeah.
01:40:10.580 That's how much it costs to attend one of these games?
01:40:13.560 I mean, a lot of these teams play in smaller arenas unless Caitlin comes to town, and then
01:40:19.320 they move to a larger arena.
01:40:20.780 That's what the Dallas Wings do, right?
01:40:24.040 When Caitlin Clark's team is not in town, they play at some small little arena.
01:40:30.400 I think seats 3,000 people or something.
01:40:33.960 I don't know.
01:40:34.680 But then when Caitlin Clark comes to town, they go to the American Airlines Center, which
01:40:39.860 seats 28 or 18,000.
01:40:43.140 Amazing how that works.
01:40:44.360 And they hate her for that.
01:40:46.420 They hate her for that.
01:40:47.520 They hate her.
01:40:48.280 Yep.
01:40:49.960 Caitlin Clark, I actually, I kind of get the, you know, just to see what she'll do.
01:40:54.400 I've seen, like, clips of her where she's making, like, five back-to-back three-pointers.
01:40:57.900 That's exciting.
01:40:58.460 It is.
01:40:59.280 But when you're entire, like, you have these entire media campaigns on change the game
01:41:03.680 and all these different WNBA players, then you'll see clips of them where they'll go
01:41:08.280 literally five minutes without making a shot.
01:41:12.220 Yeah.
01:41:12.600 With just terrible.
01:41:13.980 Just terrible.
01:41:14.640 It's bad.
01:41:15.820 It's really bad.
01:41:16.940 But if you had, you know, 20 more Caitlin Clarks.
01:41:19.760 Yes.
01:41:20.300 Something like that.
01:41:20.980 But you need the talent and you need the kind of, like, generational, you know, shift
01:41:25.880 And you would get that if you embraced Caitlin.
01:41:29.500 You might.
01:41:30.040 Because more people would want to play.
01:41:31.540 I mean, the people that are coming in are saying, yeah, we love Caitlin.
01:41:35.880 We want to play that.
01:41:37.220 They'd want to do that.
01:41:38.400 To see how she gets treated.
01:41:40.540 Why would you want to do that?
01:41:41.740 Right.
01:41:42.420 Yeah.
01:41:42.600 It's really, it's a shame.
01:41:43.980 It is.
01:41:44.800 All right.
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01:42:58.100 10 seconds.
01:42:58.680 Station ID.
01:43:07.720 Hmm.
01:43:09.080 Yeah.
01:43:11.920 All right.
01:43:12.600 Pat and Jeffy and Jason for Glenn today.
01:43:19.080 Have you ever even been?
01:43:20.880 I know you've seen them on TV.
01:43:22.220 Have you been to a WNBA game?
01:43:24.300 You seem to be a big advocate now because you like Caitlin Clark.
01:43:27.080 I like Caitlin Clark.
01:43:28.060 But you've never been to a game, right?
01:43:29.560 She dragged me in.
01:43:31.060 I like Caitlin.
01:43:31.840 And then I have not been to an actual game, though.
01:43:35.000 No, not a real game.
01:43:36.820 I've watched them on television.
01:43:38.380 I have watched them entire games.
01:43:41.360 I don't want to hear it now.
01:43:42.440 I don't want to hear it.
01:43:43.140 Unless you've been to an arena and actually paid fan money to be there.
01:43:48.140 I don't want to hear it anymore.
01:43:49.080 I have not.
01:43:49.340 But if I can make some money betting on throwing something on the court, I may go.
01:43:52.640 Right?
01:43:53.500 Plus, when it's so obviously rigged, you can just throw down as much money as you want,
01:43:56.920 go there, and then do it.
01:43:58.080 Right.
01:43:58.320 Just like Pat outlined.
01:43:59.400 Yeah.
01:43:59.800 That's kind of a win in my book.
01:44:01.280 That's a big win.
01:44:02.440 Why would you do that?
01:44:03.980 Well, Pat, because if they arrest you, they said that you won't be able to go to any more
01:44:08.700 WNBA games.
01:44:09.720 Oh, no.
01:44:10.340 What a shame.
01:44:11.220 But if I put down 700 to 1 odds, and I bet...
01:44:14.880 700?
01:44:15.260 Because I know I'm going to do it.
01:44:16.440 So I put down...
01:44:17.500 Yeah, you've got to get it in.
01:44:18.300 $5,000.
01:44:18.920 They're looking for it now.
01:44:19.880 You've got to think about it.
01:44:20.820 I mean, it's actually going to take some work to get it in.
01:44:23.240 Because they're looking for it.
01:44:25.300 Some of the stadiums were saying no bags.
01:44:28.280 You know, they weren't letting people bring in bags.
01:44:29.980 Yeah.
01:44:30.180 So if you don't get in there with the implement and be able to throw it on the floor, that
01:44:36.260 would be bad.
01:44:36.740 I mean, I've thought of a couple of ways of doing it already off the top of my head.
01:44:40.860 What I'm just saying is it's possible.
01:44:44.880 It's plus 700 for Caucasian, by the way.
01:44:48.520 I just wanted to make that clarification.
01:44:50.540 Okay.
01:44:52.880 Plus 700.
01:44:55.020 That's 700 to 1, right?
01:44:56.460 700 to 1.
01:44:57.300 Yeah.
01:44:57.880 See?
01:44:58.480 Wow.
01:44:58.980 I know.
01:44:59.520 Right?
01:44:59.960 I mean, come on.
01:45:00.780 Put down 1,000.
01:45:01.940 All right.
01:45:02.940 Put down 5,000.
01:45:04.620 It'd be worth it.
01:45:05.580 Put down 20.
01:45:07.060 Clean out your bank account.
01:45:08.420 Put it all on that.
01:45:09.840 And then just make sure you get that thing in the arena.
01:45:12.260 We're not telling people to do that.
01:45:12.940 No, I would never do that.
01:45:14.700 It would be wrong.
01:45:15.640 Yes, thank you.
01:45:16.060 It would be wrong.
01:45:16.860 Thank you.
01:45:17.220 Don't do this, but I'm just saying it.
01:45:20.660 If someone were going to do it, that would be a good way to do it.
01:45:23.540 Go about it.
01:45:24.320 Yeah, right.
01:45:24.940 To make some money.
01:45:26.120 Yeah.
01:45:26.480 I have never been either to one of the games, but I'm surprised because it solves my issue
01:45:32.040 with professional sporting games.
01:45:33.580 I don't like to go anymore because of the parking is a mess.
01:45:36.640 Yeah.
01:45:36.880 And it's expensive.
01:45:37.940 Fortune.
01:45:38.320 It's expensive.
01:45:39.060 Fortune.
01:45:39.480 And it's just a pain in the butt getting in and out with all the people.
01:45:43.020 Well, WNBA solves all those issues.
01:45:46.120 Plenty of parking, no hustle and bustle, and cheap tickets.
01:45:49.880 Why are we not going again?
01:45:51.400 I know.
01:45:52.400 Who cares if the product sucks?
01:45:54.200 It's stress-free.
01:45:55.340 It's entertainment.
01:45:56.680 Entertainment.
01:45:57.280 It's stress-free entertainment.
01:45:59.020 Yep.
01:45:59.400 And who knows?
01:46:00.060 Maybe something neon green will be thrown around.
01:46:03.100 You never know.
01:46:03.700 You never know.
01:46:04.120 You sure hope not because you'd hate to see that.
01:46:06.880 Thank you.
01:46:07.000 You'd hate to see it.
01:46:08.460 We don't want that to happen.
01:46:10.120 No.
01:46:10.740 We're going to fight against it.
01:46:12.140 I'll tell you that.
01:46:13.100 You'll have to answer to Coach Cheryl Reeve over there.
01:46:16.500 You don't want to do that.
01:46:17.740 If you want to give in to centuries of oppression, then you're right.
01:46:21.100 Thank you.
01:46:21.820 Thank you.
01:46:23.320 All right.
01:46:23.820 That's just silly.
01:46:24.980 888-727-BECK.
01:46:26.800 More coming up.
01:46:27.300 This is Glenn Beck.
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01:47:59.000 Pat and Jeffy with Jason Buttrell for Glenn today.
01:48:07.880 888-727-BECK.
01:48:11.860 Some cool space news.
01:48:14.220 We got this from Transportation Secretary Sean Duffy.
01:48:18.240 He said that we're announcing expedited plans to build a nuclear reactor on the moon.
01:48:26.980 Good luck with that.
01:48:27.960 It's not going to happen.
01:48:29.340 Good luck with that.
01:48:30.460 It's just, don't get excited.
01:48:32.900 It's not going to happen.
01:48:34.860 I don't think.
01:48:36.160 You know, maybe they can make it happen.
01:48:37.820 I don't know.
01:48:38.240 We just don't seem to be able to even get to the moon, let alone build a nuclear reactor on it.
01:48:42.560 We're struggling landing there.
01:48:44.100 Yeah, we can't do it.
01:48:45.380 How is this possible?
01:48:46.800 We did it 56 years ago, and we can't do it again.
01:48:50.640 Yes, we did.
01:48:51.200 Okay.
01:48:51.520 Yes, we did.
01:48:52.060 Whatever you say.
01:48:52.680 Yes, I do say we did, only because we did, but that's the only reason I say that.
01:49:00.720 I'm not fighting with you.
01:49:02.380 I'm just asking a question.
01:49:04.680 Asking a question.
01:49:05.660 What would even be the purpose for something like that?
01:49:08.860 I don't know.
01:49:09.400 I think the purpose is to get us to Mars.
01:49:12.160 Yeah.
01:49:12.520 I mean, they want to build a launching zone from the moon.
01:49:18.600 So we'll be able to leave here, go to the moon, load up, have energy, have power, have whatever we need, and then we go to Mars from there.
01:49:29.640 Yeah.
01:49:30.200 And so, you know, that would be our launching pad, and we'd need some kind of infrastructure to make that happen, which, you know, sounds great in theory.
01:49:40.840 Now, I don't know if they would also produce Earth energy from the moon and beam it back to us.
01:49:46.200 I don't know if that's part of the plan.
01:49:47.600 I mean, if they could make that happen, I guess.
01:49:50.040 I mean, it'd be enough.
01:49:51.120 It's a long power cord.
01:49:53.560 Yeah, that's a long power cord.
01:49:56.180 It is.
01:49:56.740 Have you guys seen that?
01:49:58.240 I think it was, what was it?
01:49:59.500 Maybe Apple Plus, but it was that series, For All Mankind.
01:50:04.220 Did you all see that?
01:50:04.640 I have not seen it.
01:50:07.260 I've seen that it exists.
01:50:09.680 I just haven't watched it.
01:50:10.960 Well, the premise is that the Soviet Union beats us to the moon.
01:50:14.740 They actually land on it first.
01:50:16.020 And then, so basically, the space race never ends.
01:50:20.060 And the one cool part about it is it shows how technology advances because of that, which is something that I think would be cool if we are focusing on getting back to the moon.
01:50:30.240 Technology will make huge leaps and bounds to try and get us there.
01:50:33.640 And that's why what was so disappointing when we stopped the space race, right?
01:50:39.160 When they just started pulling money from NASA and not investing in space.
01:50:45.520 Yeah.
01:50:45.560 And so, you know, people have made that argument forever, Pat, as one of them, forever, that we lost that jump on technology because of that.
01:50:56.380 Yeah.
01:50:56.520 But there's so much to do to make that even come close to happening.
01:51:04.640 And we're not there.
01:51:06.340 Not anymore.
01:51:07.420 We're just not there.
01:51:08.260 I mean, right now, we have Elon who is helping NASA out.
01:51:13.420 They take up rockets to the space station, pick up the trash and bring it back.
01:51:19.360 That's about all they do.
01:51:20.340 They do trash runs and drop off a few people there.
01:51:23.800 India shoots some people up there, right?
01:51:26.020 And China shoots some people up there.
01:51:29.320 I think China actually put a lander on the moon not too long ago.
01:51:34.120 They did.
01:51:34.480 On the other side.
01:51:36.020 On the other side.
01:51:36.740 Yeah.
01:51:37.360 But the last couple tries of the lander that we attempted to put on the moon from our end, I mean, the first try, the thing landed on its side and the camera was blocked.
01:51:48.400 And the second try, they couldn't even get the full landing correct.
01:51:52.900 So what are we doing?
01:51:54.500 What are we doing?
01:51:55.260 I don't know.
01:51:56.140 I don't know.
01:51:57.060 I don't know how we lost the ability to go to the moon over the last 56 years.
01:52:01.260 Well, I think one of the problems is that actually going to the moon and developing technology stopped being the main focus.
01:52:08.480 Yes, it did.
01:52:09.460 For all mankind, actually, ironically, goes into this.
01:52:13.360 It stops being something cool about alternative history, and it starts going into how woke all the ideology advances.
01:52:19.940 Which is what happened.
01:52:20.740 And, yeah, it shifts into, well, let's have the first female president.
01:52:24.240 Let's have the first black female on the moon.
01:52:25.920 Let's have the first, you know, whatever, pick, you know, intersectional thing.
01:52:30.120 But that's exactly what happened.
01:52:31.740 Yeah.
01:52:31.920 Like, we did a special on Glenn's Wednesday night special show not too long ago where we were pulling out, like, NASA's marketing strategy for getting back to the moon.
01:52:41.700 Muslim outreach.
01:52:42.520 It was all just woke DEI crap.
01:52:46.220 And it says we will not have the first, you know, human back on the moon.
01:52:51.020 I think it said we'll have the first woman of color on the moon.
01:52:54.640 Oh, my gosh.
01:52:55.420 I'm serious.
01:52:56.680 That's where it goes.
01:52:57.820 So, you have these, like, idiot bureaucrats, these woke Columbia grads or whatever, that are, like, interjecting themselves into actual science conversations.
01:53:07.000 And they get all this stuff polluted into the middle of what could be a scientific discovery.
01:53:11.220 And I don't care if the most qualified astronaut is a woman of color.
01:53:16.620 That's fine.
01:53:17.240 Absolutely.
01:53:17.400 But that shouldn't be the goal just because it's a woman of color that she goes to the moon.
01:53:22.760 I mean, can we get off of that track?
01:53:26.720 Maybe.
01:53:27.360 Please.
01:53:27.900 I mean, we've got, what, Gayle King.
01:53:31.060 Okay.
01:53:31.660 Right.
01:53:32.260 Gayle King is a woman of color.
01:53:33.480 I was thinking, you know.
01:53:34.040 She's a woman.
01:53:34.360 Katy Perry.
01:53:35.100 No color, though.
01:53:35.920 No color.
01:53:36.440 She's just pasty.
01:53:37.180 Katy Perry.
01:53:37.960 Katy Perry's a pasty white person.
01:53:39.920 Lauren Sanchez, a person of color.
01:53:42.040 Yeah.
01:53:42.440 Not really.
01:53:43.040 They went up in the space, right?
01:53:44.280 Yeah, they did.
01:53:45.020 They did.
01:53:45.380 They were there for, what, 38 seconds or something?
01:53:48.300 That's great.
01:53:49.680 That's great.
01:53:51.820 I thought you were naming WNBA players for a second.
01:53:54.320 I was kind of lost.
01:53:55.860 Now I get where you're going.
01:53:58.680 So the directive also orders NASA to designate a leader for the effort to get industry input within 60 days.
01:54:07.120 Oh, wow.
01:54:07.540 They're trying to kick this timeline into gear now.
01:54:10.600 The agency is seeking companies able to launch a reactor by 2030, since that's around the time China intends to land its first astronaut on the moon.
01:54:20.660 There's one company in California that's building the mini reactors, right?
01:54:24.820 So they're probably part of a government deal that can do it on the moon as well.
01:54:31.180 I don't know.
01:54:31.620 But if you're trying to get there by 2030, and we haven't even been able to-
01:54:37.240 Yeah, we can't get the mini reactors here.
01:54:38.880 I want a mini reactor in my neighborhood.
01:54:41.540 Yeah.
01:54:42.100 Can I take a conspiracy break really quick?
01:54:44.440 Sure.
01:54:44.940 Why is the year 2030 the target year for freaking everything?
01:54:50.020 I don't know.
01:54:50.840 Everything.
01:54:51.780 Yeah.
01:54:52.300 Globalists, UN, the green people, everything is supposed to happen in-
01:54:57.280 EVs.
01:54:57.960 All of it.
01:54:58.480 In 2030.
01:54:59.840 Yeah.
01:55:00.300 Like, I don't know.
01:55:01.020 Like, maybe we should, like, take a step back and decide, you know, do some numerology or something and figure out what's going on about-
01:55:07.260 Remember, like, the 2012 was supposed to be, like, or whatever was supposed to be when the world's supposed to end?
01:55:12.240 Well, that was because of the Mayan calendar.
01:55:14.120 What did the Mayans say about the year 2030?
01:55:15.840 That's what I want to know.
01:55:17.320 I think we were going to be dead by now.
01:55:18.800 I think they either stopped it because we were going to be dead, or the guy that made the calendar was just like, I'm not making it anymore.
01:55:25.360 Yeah, I'm just going, my hand is getting really sore.
01:55:27.860 I'm not doing it anymore.
01:55:29.160 They're killing it.
01:55:29.740 They're throwing people off the ledge over here.
01:55:31.620 I'm done making the stupid calendars, okay?
01:55:36.520 All right.
01:55:37.180 Now, you were talking about AI a while ago and some of the incredible advances that we've experienced.
01:55:44.000 Well, there's a theoretical physicist and cosmologist, Lawrence Krauss, who says artificial intelligence is great at producing hype, but he's not completely sold on its alleged potential.
01:55:55.520 He's a renowned scientist who has taught at Arizona State, Yale, and other universities, and he recently lamented how diversity, equity, and inclusion has stifled scientific progression and, more generally, scientific excellence.
01:56:12.660 He said that the perception that AI will spawn a global reckoning, and what he sees is the true concerns about the technology.
01:56:22.740 Getting to the truth, he says, means one has to cut through the hype.
01:56:26.440 Every new development has risks and benefits, and we have to think carefully about what those are.
01:56:31.780 He said, I'm not as concerned as some people are, but partly because I think that AI is neither artificial nor intelligent at this point, and I think we're a long way from artificial general intelligence.
01:56:45.780 That seems to go against what the chat GPT people think about their latest advance in that, which is number five, right?
01:56:57.300 This is chat GPT five.
01:56:58.680 But he says we're not close to artificial general intelligence.
01:57:03.140 That's interesting.
01:57:03.840 That is.
01:57:04.460 Going against the flow there.
01:57:05.820 That is, and that's, well, I mean, that's what Meta, that's what Zuckerberg is doing with the super intelligent labs at Meta, so, and, you know, I'm pretty sure Zuckerberg, that doesn't mean we have it, though.
01:57:17.620 It just means that he wants to get us there.
01:57:19.700 Yeah.
01:57:20.720 Right.
01:57:21.420 I'm, yeah, I think there's probably a lot, there probably are a lot of skeptics within the scientific community on, like, just how far we are.
01:57:28.160 But I don't, he is definitely one of the lone voices at this point.
01:57:33.200 Seems like it, doesn't it?
01:57:34.180 It does.
01:57:34.800 I remember hearing lots of people talk that way just a short amount of time ago.
01:57:39.540 Like, go back two, three years.
01:57:41.480 Go back to when, like, GPT one or two were first coming out on the market, and we were, you know, trying to use it.
01:57:47.560 And it made all kinds of mistakes, and it wasn't right half the time.
01:57:51.160 Yeah.
01:57:51.640 Yeah.
01:57:52.080 It was still fun.
01:57:53.400 Yeah.
01:57:53.580 But now, when they're talking about, you know, having GPT-5, you know, loaded on your phone is like having a handful of PhD-level academics in your pocket.
01:58:02.760 Yeah.
01:58:03.160 I think it's progressing so fast, and this may be even scarier, is that the scientists now don't even really know what they're dealing with.
01:58:10.380 Yeah, it's already out.
01:58:11.260 I mean, it's out where they don't, well, we don't know.
01:58:13.640 Unleashed might be a better way to describe that.
01:58:16.080 They don't know what they have unleashed.
01:58:18.600 Uh-huh.
01:58:19.300 Unleashed.
01:58:19.940 I know.
01:58:20.880 I know.
01:58:21.520 That sounds familiar.
01:58:22.560 It does sound familiar.
01:58:23.620 That's like Pat Gray was unleashed at some point, and look what happened then.
01:58:28.440 Speaking of superintelligence, Pat Gray, okay.
01:58:31.980 Thank you.
01:58:32.540 Thank you for saying so.
01:58:34.040 You're exactly right.
01:58:35.880 All right.
01:58:36.240 888-727-BEC, more coming up in a minute.
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01:59:52.540 You know, truth makes the left so mad.
01:59:58.500 And right about now, they're all losing their minds.
02:00:02.640 We must be doing something right.
02:00:05.460 Stick around.
02:00:06.920 Beck will continue right after this.
02:00:08.780 Beck will continue right after this.
02:00:38.780 Is anyone paying full price for anything?
02:00:42.260 Stop wondering.
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02:00:57.880 It's Pat and Jeffy.
02:00:59.500 Jason joining us today for Glenn, who's a little bit under the weather today.
02:01:03.980 Hopefully be back on Monday.
02:01:06.100 So there's some breaking news on the military front today, right?
02:01:10.780 Yeah.
02:01:11.440 Blaze News just commented on this.
02:01:13.580 There's also a New York Times article if you want to go there and read about it.
02:01:16.600 The headline is, Trump directs the military to target foreign drug cartels.
02:01:21.320 The U.S. military officials have started drawing up options for how the military could go after some of these groups.
02:01:29.080 Interesting.
02:01:29.720 So using the actual military.
02:01:32.000 So going after Mexican drug cartels.
02:01:33.540 Yes, which we have labeled as terrorists, terror organizations now.
02:01:36.480 Right.
02:01:36.640 And that was one of the questions the New York Times was having was there's questions over whether this would be considered murder targeting some of these individuals.
02:01:44.780 But if they're identified as terror organizations, we can legally, under U.S. law, go after them.
02:01:51.300 The only obstacle would seem to be their president, Claudia Scheinbaum, has said no to that, right?
02:01:59.380 Yeah.
02:01:59.540 To allowing the U.S. military to cross across into Mexico and go after these cartels.
02:02:05.460 Yeah.
02:02:05.940 And I mean, I would assume that this will vary from country to country as far as, you know, the capabilities that they'll allow into their countries.
02:02:13.620 I've been other places, probably like Mexico.
02:02:15.680 They'll probably be more of like an intelligence, you know, like identifying using satellite technology, stuff like that.
02:02:22.200 Maybe even, you know, human intelligence, stuff like that to say this is where they are.
02:02:25.800 This is where the person is.
02:02:26.920 And then and then green light and then they're president with green light.
02:02:29.720 They're people.
02:02:30.580 But I mean, I'm being very, very optimistic with what Mexico will do.
02:02:34.520 I mean, let's just be very, very, you know, as blunt as we can with this.
02:02:38.960 There's no way in today's technology that the cartels in Mexico should have the power that they have unless they're getting government support in some way.
02:02:50.660 Right.
02:02:51.300 Right.
02:02:51.660 I mean, you hear all the time that, yeah, the government, you know, Mexicans are, you know, cracking down on cartels.
02:02:57.220 They're sending this high tech, you know, this famous general to go down and oversee the eradication of the cartels.
02:03:03.260 And then three weeks later, you find out that general's on the take from the cartels.
02:03:07.620 Exactly.
02:03:08.200 He was busy eradicating another rival cartel.
02:03:12.700 Yeah.
02:03:13.100 Yeah, exactly.
02:03:14.200 They're famous for doing that, though.
02:03:15.680 They just pay the military that comes in to eradicate them and they give them more money.
02:03:22.780 And pretty soon they're on the payroll of the cartels.
02:03:25.640 I mean, that has happened over and over and over again.
02:03:28.040 And look, it's difficult to say no to the cartels.
02:03:33.020 I mean, if you were.
02:03:34.440 Is it?
02:03:34.820 It is difficult to say no.
02:03:36.560 Yes.
02:03:38.220 Yes.
02:03:38.880 Okay.
02:03:39.640 All right.
02:03:40.200 Because if you say no, then, you know, you're not useful to them.
02:03:45.220 And at least if you say yes, you get a little cash and live good for a while.
02:03:49.400 Well, you still can't flush toilet paper down the toilet, but you're living high on the hog other than that.
02:03:55.740 I'm talking about here in the States, not in Mexico.
02:03:57.420 All right.
02:03:58.040 Here's the thing, Claudia.
02:03:59.440 We're coming in.
02:04:00.600 Okay.
02:04:01.340 Yeah.
02:04:02.400 Listen, when you get your sewer system worked out, then you can tell us not to come in.
02:04:08.100 It's kind of like Greenland.
02:04:09.340 We're just going to take it and get over it.
02:04:12.420 This just in, actually, the Army Corps of Engineers are going down to replace all the plumbing down in Mexico.
02:04:17.380 One thing for all.
02:04:18.460 Thank you.
02:04:18.640 We're tired of it.
02:04:19.800 Every time we go down there on vacation.
02:04:21.520 That needs to happen.
02:04:22.100 And while we're at it, we'll get rid of the cartel.
02:04:25.060 I don't understand that.
02:04:26.660 I really don't.
02:04:27.600 I mean, for a country that's on the verge of first world status.
02:04:34.400 Okay.
02:04:34.600 Mexico is.
02:04:35.520 Sure.
02:04:36.100 They're on the verge of it.
02:04:37.680 Fix your sewer system.
02:04:39.400 Make your water supply drinkable.
02:04:42.660 You know, there's a couple of things that you should probably do with your infrastructure before anything else.
02:04:48.400 Join us in the first world.
02:04:49.920 Thank you.
02:04:50.360 Please join us.
02:04:50.580 Be able to flush your toilets and drink your water.
02:04:53.580 Nobody wants to save their used toilet paper.
02:04:56.920 Okay.
02:04:57.100 I have to be clear about that.
02:04:58.300 No one wants to do that.
02:04:59.960 No one.
02:05:00.320 I can't imagine you want to do that.
02:05:02.800 But they have to do that.
02:05:04.380 So it's kind of nasty.
02:05:06.340 Anyway.
02:05:06.740 So thanks for calling, Claudia.
02:05:08.400 But we're coming in.
02:05:09.200 And it does sound like they're trying to clear the way for that.
02:05:13.580 Yeah.
02:05:13.920 It sounds like it's going to happen.
02:05:16.420 So we'll see how in-depth it gets.
02:05:19.020 Interesting.
02:05:20.160 All right.
02:05:20.980 Hopefully, Glenn will be better and back on Monday.
02:05:24.260 Have a great weekend.
02:05:25.460 See you then.
02:05:25.940 This is Glenn Beck.
02:05:44.020 Bye-bye.
02:05:44.440 Thank you.
02:05:44.620 I'm Glenn Beck.
02:05:45.120 Bye-bye.
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