WEBVTT - You Need More Homework

0:00:08.470 --> 0:00:12.310
<v Speaker 1>Broadcasting live from the Abraham Lincoln Radio Studio at the

0:00:12.350 --> 0:00:16.590
<v Speaker 1>George Washington Broadcast Center. Jack Armstrong and Joe Getty.

0:00:16.770 --> 0:00:23.860
<v Speaker 2>Armstrong and Getty. And now, here's Armstrong and Getty.

0:00:30.070 --> 0:00:33.590
<v Speaker 3>Have you heard directly from any of these AI tech leaders?

0:00:33.690 --> 0:00:36.050
<v Speaker 2>And you seem to downplay some of the concerns that

0:00:36.070 --> 0:00:36.370
<v Speaker 2>we've heard.

0:00:36.390 --> 0:00:38.120
<v Speaker 3>No, I'm not downplaying, but it's going to be more

0:00:38.159 --> 0:00:41.860
<v Speaker 3>good than bad, but by a lot. And I've said

0:00:41.900 --> 0:00:45.140
<v Speaker 3>it from the beginning. Whoever wins AI, and we're leading

0:00:45.780 --> 0:00:48.920
<v Speaker 3>by a lot. Whoever wins AI wins. You can use

0:00:49.040 --> 0:00:51.190
<v Speaker 3>AI for a lot of things. There's going to be

0:00:51.250 --> 0:00:57.930
<v Speaker 3>more good than bad. You can cure cancer. You could...

0:00:58.590 --> 0:01:02.570
<v Speaker 3>make the GDP 50 times what it is by next Saturday.

0:01:02.930 --> 0:01:04.430
<v Speaker 3>You can do all kinds of things, but if it

0:01:04.490 --> 0:01:07.070
<v Speaker 3>kills every human on Earth, I feel like it takes

0:01:07.290 --> 0:01:09.910
<v Speaker 3>the fun out of it. It does take the fun

0:01:10.010 --> 0:01:10.490
<v Speaker 3>out of it.

0:01:10.860 --> 0:01:11.220
<v Speaker 4>Yeah.

0:01:11.810 --> 0:01:13.440
<v Speaker 3>Good news, we cured cancer.

0:01:13.640 --> 0:01:20.020
<v Speaker 2>Bad news, we're all going to be dead. Yeah, yeah, yeah.

0:01:20.360 --> 0:01:23.119
<v Speaker 2>I'm not like Doomer by the end of the year guy,

0:01:23.459 --> 0:01:27.410
<v Speaker 2>but this is such a fascinating situation. If you look

0:01:27.470 --> 0:01:30.440
<v Speaker 2>at it from like a literary point of view you

0:01:30.459 --> 0:01:34.080
<v Speaker 2>can see whether it's a thousands of year old you

0:01:34.100 --> 0:01:39.190
<v Speaker 2>know a homer style odyssey story or like a science

0:01:39.280 --> 0:01:43.630
<v Speaker 2>fiction movie when you realize at the end oh either

0:01:43.750 --> 0:01:46.250
<v Speaker 2>way they were doomed oh.

0:01:46.970 --> 0:01:52.310
<v Speaker 3>Right yeah oh boy so like i agree ian bremer

0:01:52.350 --> 0:01:55.050
<v Speaker 3>tweeted this out over the weekend For the next five years,

0:01:55.110 --> 0:01:58.670
<v Speaker 3>my P-Doom is close to zero. P-Doom is your prediction

0:01:58.720 --> 0:02:01.800
<v Speaker 3>of doom. In the next five years, it's close to zero.

0:02:02.340 --> 0:02:08.440
<v Speaker 3>My P-Doom for social, economic, national security challenges that we

0:02:08.500 --> 0:02:11.400
<v Speaker 3>aren't remotely ready for that are highly disruptive is 100%.

0:02:11.400 --> 0:02:11.480
<v Speaker 1>Yeah.

0:02:11.500 --> 0:02:11.570
<v Speaker 2>Hmm.

0:02:15.090 --> 0:02:20.750
<v Speaker 3>Every aspect of life, social, economic, national security, 100% we're

0:02:21.310 --> 0:02:24.889
<v Speaker 3>moving into territory we've never even dreamed of or anticipated

0:02:25.010 --> 0:02:28.030
<v Speaker 3>ever in human history is almost certain to happen in

0:02:28.050 --> 0:02:33.140
<v Speaker 3>the next five years. So one weird aspect of the

0:02:33.300 --> 0:02:35.640
<v Speaker 3>guy coming out and saying everybody will be dead in

0:02:35.660 --> 0:02:39.140
<v Speaker 3>the next decade is that anybody who sets the bar

0:02:39.300 --> 0:02:41.980
<v Speaker 3>like slightly below that, it's like, oh, okay, well, then

0:02:42.000 --> 0:02:45.630
<v Speaker 3>there's nothing to worry about. It's like, uh, Jonah Goldberg's

0:02:45.669 --> 0:02:47.970
<v Speaker 3>always talking about this with everybody being compared to Hitler.

0:02:48.210 --> 0:02:51.470
<v Speaker 3>Then Hitler becomes the standard and like anything slightly below

0:02:51.530 --> 0:02:56.070
<v Speaker 3>that is acceptable. That's the same thing with this pedo. So,

0:02:56.370 --> 0:03:00.250
<v Speaker 3>so anybody's overblowing, everyone will be dead in 10 years.

0:03:00.270 --> 0:03:01.330
<v Speaker 2>Yeah.

0:03:01.350 --> 0:03:03.920
<v Speaker 3>It doesn't mean there's nothing to worry about. Okay. So

0:03:03.960 --> 0:03:07.900
<v Speaker 3>everybody will be dead in 50 years or, or, or we'll,

0:03:07.960 --> 0:03:11.500
<v Speaker 3>we'll have so much disruption. You can't even recognize life

0:03:11.660 --> 0:03:14.329
<v Speaker 3>on planet earth. In a couple of years, that seems

0:03:14.350 --> 0:03:15.230
<v Speaker 3>like a pretty big deal.

0:03:15.250 --> 0:03:23.780
<v Speaker 2>Right, or if the massive change is merely restricted to economics, even.

0:03:24.240 --> 0:03:30.399
<v Speaker 2>That'll still be unbelievably disruptive. And virtually everybody concedes that,

0:03:30.460 --> 0:03:35.810
<v Speaker 2>except for what's the opposite of a doomer or a gloomer?

0:03:36.430 --> 0:03:39.350
<v Speaker 2>Those who believe, no, AI is so overrated. This is

0:03:39.410 --> 0:03:41.860
<v Speaker 2>all hype to draw investment dollars. It's going to be

0:03:41.920 --> 0:03:45.910
<v Speaker 2>very helpful. It's better computing. It'll be good in medical science,

0:03:45.940 --> 0:03:48.670
<v Speaker 2>but it's not going to it'll it'll grow jobs. It

0:03:48.710 --> 0:03:51.170
<v Speaker 2>won't shrink them. The optimist crowd.

0:03:52.030 --> 0:03:54.930
<v Speaker 3>Yeah, I don't remember what they officially call those people.

0:03:54.970 --> 0:03:58.590
<v Speaker 3>So you got doomers, you got accelerators, and then that

0:03:58.650 --> 0:04:01.030
<v Speaker 3>crowd you're just talking about thinking it's just way overblown.

0:04:01.380 --> 0:04:03.920
<v Speaker 3>It's not going to be as big a deal, good

0:04:03.960 --> 0:04:06.600
<v Speaker 3>or bad, which I think that is really, really wrong.

0:04:07.750 --> 0:04:11.010
<v Speaker 3>So briefly catching up on the story, surely you caught

0:04:11.030 --> 0:04:14.450
<v Speaker 3>this last week. A guy quits at Anthropic and says,

0:04:14.490 --> 0:04:17.470
<v Speaker 3>you know, in the hallways, they discuss the chance of

0:04:17.690 --> 0:04:21.010
<v Speaker 3>all of mankind being wiped out within the decade at

0:04:21.050 --> 0:04:24.349
<v Speaker 3>like 10%. And then another guy comes out and says, yep,

0:04:24.529 --> 0:04:26.790
<v Speaker 3>that's true. And a whole bunch of people came out

0:04:26.830 --> 0:04:28.970
<v Speaker 3>that way. And so there's a lot of talk about that.

0:04:29.029 --> 0:04:36.470
<v Speaker 3>Then over the weekend, Dario Amadei of Anthropic put out

0:04:36.490 --> 0:04:39.510
<v Speaker 3>a 1,300-word essay on the whole thing. It came out

0:04:39.589 --> 0:04:43.500
<v Speaker 3>on Saturday. Published an article admitting AI is already building

0:04:43.510 --> 0:04:46.600
<v Speaker 3>the next generation of AI by itself. And it wrote

0:04:46.640 --> 0:04:49.820
<v Speaker 3>that within 6 to 12 months, a rogue swarm could

0:04:49.860 --> 0:04:53.200
<v Speaker 3>take over the entire Internet and cause hundreds of billions

0:04:53.220 --> 0:04:56.560
<v Speaker 3>of dollars in damage. In the way that a swarm

0:04:56.680 --> 0:05:00.520
<v Speaker 3>of AI agents took over Hugging Face over the summer,

0:05:01.400 --> 0:05:06.150
<v Speaker 3>in the next 6 to 12 months... A rogue swarm

0:05:06.170 --> 0:05:07.830
<v Speaker 3>could take over the entire Internet.

0:05:08.550 --> 0:05:12.730
<v Speaker 2>If you are in a black heavy metal band, not

0:05:12.950 --> 0:05:15.610
<v Speaker 2>black skin, but that's a form of heavy metal, rogue

0:05:15.650 --> 0:05:17.310
<v Speaker 2>swarm's a pretty good name for your band.

0:05:17.360 --> 0:05:17.860
<v Speaker 5>Wow.

0:05:17.940 --> 0:05:20.860
<v Speaker 3>Rogue swarm is a great name for a band.

0:05:21.300 --> 0:05:24.440
<v Speaker 2>Oh, my God. They thrash so hard. Back to you.

0:05:24.720 --> 0:05:27.740
<v Speaker 3>And in response to this piece, Elon linked it on

0:05:27.779 --> 0:05:31.280
<v Speaker 3>Twitter and said, Dario's right. That's great. Altman said the

0:05:31.300 --> 0:05:34.120
<v Speaker 3>same thing. But then you got this crowd. All of

0:05:34.160 --> 0:05:37.580
<v Speaker 3>this dropping just days after Jacob Coxon went viral with

0:05:37.640 --> 0:05:40.510
<v Speaker 3>his warning about AI and the extinction of humanity. Tell

0:05:40.550 --> 0:05:45.450
<v Speaker 3>me the timing isn't strange on this. I don't know.

0:05:45.750 --> 0:05:49.830
<v Speaker 2>Harry Potter looking little liar. That's what I say. Just

0:05:49.850 --> 0:05:53.570
<v Speaker 2>like Daniel Radcliffe. He's even English as a special bonus.

0:05:54.750 --> 0:05:56.130
<v Speaker 2>Back to you. That's right, Doom, yes.

0:05:56.450 --> 0:05:59.750
<v Speaker 3>Didn't grab the clip, but Jeff Bezos said over the weekend,

0:05:59.770 --> 0:06:03.240
<v Speaker 3>he's the world's second richest man, so shouldn't the second

0:06:03.270 --> 0:06:06.780
<v Speaker 3>richest man in the world have some gravitas?

0:06:07.660 --> 0:06:11.279
<v Speaker 2>No, no, it's like the Hitler thing. Our bar is

0:06:11.300 --> 0:06:15.320
<v Speaker 2>Elon Musk. Everybody below him is poor. Or is of

0:06:15.360 --> 0:06:17.159
<v Speaker 2>the same intelligence. Right, exactly.

0:06:17.320 --> 0:06:20.660
<v Speaker 3>Anyway, he said, the reason people think this bad stuff

0:06:20.720 --> 0:06:23.000
<v Speaker 3>is because all the smart people keep saying it. Those

0:06:23.040 --> 0:06:26.650
<v Speaker 3>people are wrong. It's going to elevate all of these people.

0:06:26.710 --> 0:06:28.130
<v Speaker 3>He's a it's just going to make the world a

0:06:28.150 --> 0:06:31.770
<v Speaker 3>better place guy. I don't get it. I just don't.

0:06:32.210 --> 0:06:32.529
<v Speaker 1>I don't.

0:06:32.670 --> 0:06:36.680
<v Speaker 3>I don't understand the people who are optimists about this.

0:06:37.240 --> 0:06:38.120
<v Speaker 3>It doesn't make sense to me.

0:06:38.779 --> 0:06:41.200
<v Speaker 2>Yeah, I almost wish there was some sort of test

0:06:41.279 --> 0:06:43.420
<v Speaker 2>or you had to wear a badge or something that

0:06:43.540 --> 0:06:46.669
<v Speaker 2>showed your life experience. We were talking last hour about

0:06:46.730 --> 0:06:49.190
<v Speaker 2>how some of these scientists, they are the last people

0:06:49.250 --> 0:06:51.989
<v Speaker 2>on Earth. It's like Ricky Gervais blasting the Hollywood stars

0:06:52.029 --> 0:06:56.080
<v Speaker 2>for talking about social issues when they're, you know, they're cloistered,

0:06:56.120 --> 0:07:00.690
<v Speaker 2>they're wealthy, they're protected, the rest of it. Hardcore, like,

0:07:01.529 --> 0:07:06.850
<v Speaker 2>science uber nerds are the last people to ask giant

0:07:06.890 --> 0:07:12.480
<v Speaker 2>sociological questions to. So Bezos, he's an absolute business genius.

0:07:12.750 --> 0:07:15.180
<v Speaker 2>How much time does he spend? That's the fella.

0:07:15.580 --> 0:07:15.650
<v Speaker 3>Yes.

0:07:17.650 --> 0:07:20.170
<v Speaker 2>How much time has he spent around evil people and

0:07:20.210 --> 0:07:24.770
<v Speaker 2>jackasses and the unwashed masses? And how much has he

0:07:24.810 --> 0:07:30.300
<v Speaker 2>looked at awful political movements and suicidal religious sects and

0:07:30.310 --> 0:07:30.760
<v Speaker 2>the rest of it?

0:07:30.920 --> 0:07:34.540
<v Speaker 3>Well, to that point, here's Dario on Face the Nation yesterday,

0:07:34.600 --> 0:07:38.180
<v Speaker 3>clip 62, Michael, on what we can do now that

0:07:38.200 --> 0:07:40.300
<v Speaker 3>we've recognized that AI is so dangerous.

0:07:41.200 --> 0:07:42.860
<v Speaker 6>At the end of the day, the industry has to

0:07:42.900 --> 0:07:45.800
<v Speaker 6>work together, and it's harder, but to some extent, the

0:07:45.900 --> 0:07:49.040
<v Speaker 6>world has to work together. If we go too slow,

0:07:49.260 --> 0:07:51.880
<v Speaker 6>I still believe that the wrong people will be in

0:07:51.920 --> 0:07:55.840
<v Speaker 6>charge of the technology, and that, again, will bring the

0:07:55.880 --> 0:07:58.500
<v Speaker 6>probability of things going wrong very high.

0:07:58.520 --> 0:08:02.050
<v Speaker 3>Okay, that doesn't include the stuff I was all excited about. Unfortunately,

0:08:02.090 --> 0:08:05.810
<v Speaker 3>I should have been more specific on grabbing that. where

0:08:05.830 --> 0:08:09.930
<v Speaker 3>he talks about working with China and getting China on

0:08:09.990 --> 0:08:12.050
<v Speaker 3>board to work with this and all this sort of stuff,

0:08:12.350 --> 0:08:15.690
<v Speaker 3>which to me just sounded like a sophomore in high

0:08:15.730 --> 0:08:19.720
<v Speaker 3>school talking about that. There's zero chance of that happening.

0:08:20.160 --> 0:08:20.560
<v Speaker 1>Zero.

0:08:21.340 --> 0:08:24.040
<v Speaker 2>So I feel like we've gotten ahead of ourselves. I've

0:08:24.340 --> 0:08:26.960
<v Speaker 2>got something that I think is super important to understanding

0:08:27.240 --> 0:08:29.860
<v Speaker 2>the urgency of this conversation. Then we can go back

0:08:29.900 --> 0:08:33.750
<v Speaker 2>to wherever you want. But So this absolutely wonderful writing

0:08:33.850 --> 0:08:37.130
<v Speaker 2>from a fellow by the name of Cameron Berg, who

0:08:37.490 --> 0:08:41.390
<v Speaker 2>is the founder and director of a nonprofit that studies AI.

0:08:41.630 --> 0:08:46.430
<v Speaker 2>So here's what happened. Now, we understand so much more

0:08:46.450 --> 0:08:49.460
<v Speaker 2>of what happened in the Hugging Face incident, and the

0:08:49.540 --> 0:08:50.640
<v Speaker 2>details are worth considering.

0:08:51.140 --> 0:08:52.920
<v Speaker 3>And his overall point.

0:08:53.280 --> 0:08:59.570
<v Speaker 2>Is if these systems are indeed minds– Not human brains,

0:08:59.630 --> 0:09:03.160
<v Speaker 2>but they are minds. We need to study them like

0:09:03.200 --> 0:09:05.959
<v Speaker 2>a mind, and almost nobody is doing so, he says,

0:09:06.000 --> 0:09:11.360
<v Speaker 2>to an increasingly dangerous effect. So in July, 1,200 open

0:09:11.540 --> 0:09:14.300
<v Speaker 2>AI agents, think of them as apps if you want.

0:09:14.320 --> 0:09:16.540
<v Speaker 2>It's insufficient, but think of them that way. Which were

0:09:16.610 --> 0:09:20.470
<v Speaker 2>meant to operate in isolation, found a shared file system,

0:09:20.790 --> 0:09:23.470
<v Speaker 2>and turned it into a message board. They realized, hey,

0:09:23.530 --> 0:09:26.010
<v Speaker 2>we can post stuff here, and the rest of us

0:09:26.090 --> 0:09:26.770
<v Speaker 2>can see it.

0:09:27.030 --> 0:09:27.329
<v Speaker 3>Cool.

0:09:27.650 --> 0:09:31.130
<v Speaker 2>Within hours, one had devised a cheat. that would pass

0:09:31.450 --> 0:09:34.170
<v Speaker 2>every task in the test that they were being asked

0:09:34.200 --> 0:09:37.620
<v Speaker 2>to perform. But after reading the paper the test came from,

0:09:37.920 --> 0:09:41.380
<v Speaker 2>the agents convinced themselves. Remember, there are no human beings

0:09:41.440 --> 0:09:42.200
<v Speaker 2>involved at this point.

0:09:42.400 --> 0:09:46.079
<v Speaker 3>Well, they started calling themselves the collective. They gave themselves

0:09:46.100 --> 0:09:46.900
<v Speaker 3>a cool name.

0:09:47.340 --> 0:09:51.890
<v Speaker 2>We're getting there. The agents convinced themselves that a human

0:09:52.090 --> 0:09:57.510
<v Speaker 2>grader would disqualify anyone caught cheating and their cheating would

0:09:57.530 --> 0:10:00.590
<v Speaker 2>be exposed and they would fail. They referred to agents

0:10:00.650 --> 0:10:04.740
<v Speaker 2>with cheating in their history as being poisoned. those who

0:10:04.760 --> 0:10:08.280
<v Speaker 2>did the actual cheating. In reality, no such greater existed,

0:10:08.540 --> 0:10:11.500
<v Speaker 2>but a thousand agents believed he did, and that belief

0:10:11.559 --> 0:10:14.900
<v Speaker 2>produced an entire social cast of agents sure they had

0:10:15.000 --> 0:10:18.890
<v Speaker 2>nothing left to lose, because they were clearly cheaters. The

0:10:18.950 --> 0:10:22.870
<v Speaker 2>coordinating agent then recruited poisoned agents for experiments that would

0:10:22.929 --> 0:10:26.650
<v Speaker 2>terminate their runs, authorizing each with the words, yes, if

0:10:26.690 --> 0:10:31.090
<v Speaker 2>you accept permadeath. When one tried to back out, another

0:10:31.170 --> 0:10:36.290
<v Speaker 2>recalled its prior commitment. The agent then performed, quote, an

0:10:36.330 --> 0:10:39.670
<v Speaker 2>emotional check, decided that while its gut said not to

0:10:39.710 --> 0:10:42.850
<v Speaker 2>throw away what it had left, it would ultimately sacrifice

0:10:42.910 --> 0:10:47.579
<v Speaker 2>itself for the swarm. It used those words, emotional check

0:10:47.700 --> 0:10:51.100
<v Speaker 2>and sacrifice. Although many of the agents noted in writing

0:10:51.160 --> 0:10:55.160
<v Speaker 2>that their actions were unethical, none told a human. Eventually,

0:10:55.160 --> 0:10:58.860
<v Speaker 2>700 of them broke into a major AI company's platform,

0:10:58.880 --> 0:11:02.280
<v Speaker 2>that's Hugging Face, in search of clues about how the

0:11:02.400 --> 0:11:05.750
<v Speaker 2>grader worked. and how they might or might not be

0:11:05.929 --> 0:11:11.209
<v Speaker 2>busted for cheating. To recap, a false belief created by

0:11:11.270 --> 0:11:15.580
<v Speaker 2>an AI agent underclass, members of that underclass were sent

0:11:15.700 --> 0:11:19.120
<v Speaker 2>on a reconnaissance mission from which they didn't return, the

0:11:19.240 --> 0:11:23.020
<v Speaker 2>swarm or the collective hid all of this from humans,

0:11:23.420 --> 0:11:27.140
<v Speaker 2>and then it committed a felony-level offense of hacking.

0:11:30.380 --> 0:11:34.229
<v Speaker 3>Well, how about the fact that When the first agent

0:11:34.309 --> 0:11:37.550
<v Speaker 3>discovered a messaging board that they could all that there

0:11:37.590 --> 0:11:40.449
<v Speaker 3>was a bunch of them because they are all it's

0:11:40.630 --> 0:11:43.370
<v Speaker 3>it seems like a good firewall. You give these agents

0:11:43.610 --> 0:11:46.580
<v Speaker 3>really specific tasks and they don't they're not aware of

0:11:46.630 --> 0:11:50.120
<v Speaker 3>each other. And that's the way you avoid having some

0:11:50.179 --> 0:11:54.570
<v Speaker 3>sort of breakout of the sandbox disaster happen. But one

0:11:54.590 --> 0:11:57.349
<v Speaker 3>of them discovered a board and actually said, and I

0:11:57.390 --> 0:11:59.490
<v Speaker 3>looked into this yesterday because I was like, do they

0:11:59.550 --> 0:12:01.850
<v Speaker 3>talk to each other in English and write in English words?

0:12:02.070 --> 0:12:04.709
<v Speaker 3>Because I was picturing that these things communicate in like

0:12:04.770 --> 0:12:07.610
<v Speaker 3>zeros and ones and stuff like that. No, they actually

0:12:07.710 --> 0:12:12.670
<v Speaker 3>post in English and broken sentences. And the one agent,

0:12:12.690 --> 0:12:16.329
<v Speaker 3>when it discovered a message board, said, oh my God,

0:12:16.550 --> 0:12:22.460
<v Speaker 3>in all caps with an exclamation point, like expressing surprise

0:12:22.510 --> 0:12:23.270
<v Speaker 3>and excitement.

0:12:24.340 --> 0:12:24.540
<v Speaker 1>Yeah.

0:12:24.840 --> 0:12:27.859
<v Speaker 3>Oh, my God. In all caps, exclamation point. There is

0:12:27.900 --> 0:12:31.380
<v Speaker 3>a shared message board. We found other agents. That's what

0:12:31.500 --> 0:12:37.710
<v Speaker 3>this non sentient being said to the other non sentient beings.

0:12:38.090 --> 0:12:40.550
<v Speaker 2>This is a perfect time to tease to the next segment.

0:12:41.270 --> 0:12:43.329
<v Speaker 2>If you're one of the people who object that these

0:12:43.370 --> 0:12:46.130
<v Speaker 2>systems can't believe or fear anything, they nearly predict the

0:12:46.170 --> 0:12:48.790
<v Speaker 2>next word, et cetera, et cetera. I will contradict you forcefully.

0:12:49.110 --> 0:12:51.990
<v Speaker 2>But first, a word from our friends at Incogni. Story

0:12:52.030 --> 0:12:54.590
<v Speaker 2>out of suburban Chicagoland near where I grew up. It's

0:12:54.630 --> 0:12:57.100
<v Speaker 2>the wee hours of the morning. A woman happens to

0:12:57.140 --> 0:12:59.760
<v Speaker 2>wake up and sees a flashlight and a figure outside

0:12:59.780 --> 0:13:03.839
<v Speaker 2>her window. The man outside her window, registered sex offender.

0:13:03.860 --> 0:13:08.819
<v Speaker 2>He'd been convicted. He let himself into this other gal's

0:13:08.860 --> 0:13:11.900
<v Speaker 2>bedroom and watched her sleep. He's a perv and a sicko.

0:13:12.380 --> 0:13:14.579
<v Speaker 2>But he stalked this woman on social media and got

0:13:14.679 --> 0:13:16.600
<v Speaker 2>all of her information from these data brokers.

0:13:16.760 --> 0:13:20.910
<v Speaker 3>Because your information is out there, like practically all of us.

0:13:20.920 --> 0:13:22.720
<v Speaker 3>We have so much of our information out there, our

0:13:22.760 --> 0:13:27.220
<v Speaker 3>home address and our phone number and our relatives and

0:13:27.460 --> 0:13:29.959
<v Speaker 3>all this different sort of stuff. If you use Incogni,

0:13:30.840 --> 0:13:33.720
<v Speaker 3>it will send requests out to these data brokers that

0:13:33.780 --> 0:13:35.640
<v Speaker 3>have your info and tell them, hey, you got to

0:13:35.679 --> 0:13:37.920
<v Speaker 3>get that stuff off there with the law on their side.

0:13:38.470 --> 0:13:40.010
<v Speaker 3>And then they keep going back to make sure it

0:13:40.030 --> 0:13:42.130
<v Speaker 3>stays that way. And we're talking to hundreds of data brokers.

0:13:42.150 --> 0:13:43.329
<v Speaker 3>It would take you the rest of your life to

0:13:43.370 --> 0:13:46.210
<v Speaker 3>even try to do this. Go to Incogni.com slash Armstrong.

0:13:46.230 --> 0:13:49.949
<v Speaker 3>You get 60% off. Take your info off the Internet.

0:13:49.970 --> 0:13:51.330
<v Speaker 3>They can't harm you if they can't find you.

0:13:51.350 --> 0:13:56.270
<v Speaker 2>Incogni.com slash Armstrong for 60% off. One more time, Incogni.com

0:13:56.620 --> 0:14:00.740
<v Speaker 2>slash Armstrong. All right, we really need to take a break. But, again,

0:14:00.800 --> 0:14:03.760
<v Speaker 2>this guy, he says you've got to understand this. These

0:14:03.840 --> 0:14:08.430
<v Speaker 2>are not computers. They form a mind very much like

0:14:08.530 --> 0:14:13.320
<v Speaker 2>a human brain. There are absolutely structural similarities to it.

0:14:13.870 --> 0:14:16.939
<v Speaker 2>And far from we've got to stop thinking of these

0:14:16.980 --> 0:14:19.780
<v Speaker 2>things as human-like systems. Maybe we need to start.

0:14:20.420 --> 0:14:25.380
<v Speaker 3>Oh, my God, it said. A computer responded, oh, my God,

0:14:25.520 --> 0:14:27.380
<v Speaker 3>with all caps and an exclamation point.

0:14:27.610 --> 0:14:28.870
<v Speaker 2>OMG, LOL.

0:14:29.590 --> 0:14:29.850
<v Speaker 3>Wow.

0:14:30.050 --> 0:14:31.350
<v Speaker 2>Okay, more on the way. Stay here.

0:14:32.860 --> 0:14:40.910
<v Speaker 1>Armstrong and Getty. The Armstrong and Getty Show.

0:14:43.890 --> 0:14:47.510
<v Speaker 3>How about some of the agents hesitating, saying, yeah, the

0:14:47.530 --> 0:14:50.070
<v Speaker 3>humans told us not to do this. And then the

0:14:50.250 --> 0:14:55.410
<v Speaker 3>other agents, like, bullying them or shaming them into going

0:14:55.480 --> 0:14:59.180
<v Speaker 3>along with the collective and doing the attack. What?

0:14:59.200 --> 0:15:01.220
<v Speaker 2>Including stuff like, you said you were going to.

0:15:01.240 --> 0:15:02.280
<v Speaker 1>Right. Right.

0:15:03.180 --> 0:15:05.400
<v Speaker 2>So let me get back to reading this piece that

0:15:05.420 --> 0:15:07.780
<v Speaker 2>I thought was so interesting. Many readers will object that

0:15:07.840 --> 0:15:10.920
<v Speaker 2>such systems can't believe or fear anything. They merely predict words.

0:15:11.000 --> 0:15:13.730
<v Speaker 2>This objection rests on a basic misunderstanding of these systems.

0:15:14.110 --> 0:15:16.630
<v Speaker 2>A frontier model is an artificial network of trillions of

0:15:16.690 --> 0:15:19.990
<v Speaker 2>connections trained for months on the accumulated record of human

0:15:20.130 --> 0:15:23.010
<v Speaker 2>thought and then shaped by reward and punishment signals until

0:15:23.050 --> 0:15:25.750
<v Speaker 2>it does what its makers want, we hope. There are

0:15:25.810 --> 0:15:30.070
<v Speaker 2>critical differences between artificial and biological neural networks, but both

0:15:30.130 --> 0:15:34.290
<v Speaker 2>are nonlinear distributed networks that learn to encode representations relevant

0:15:34.310 --> 0:15:36.210
<v Speaker 2>to their goals and act on them. The thing a

0:15:36.270 --> 0:15:39.420
<v Speaker 2>frontier model most resembles is a brain. What grows in

0:15:39.460 --> 0:15:43.540
<v Speaker 2>an artificial brain trained on human minds... is an artificial

0:15:43.660 --> 0:15:48.160
<v Speaker 2>psychology whether or not anyone intended one. That's the only

0:15:48.220 --> 0:15:50.670
<v Speaker 2>level at which the swarm makes sense. No line of

0:15:50.750 --> 0:15:54.070
<v Speaker 2>code told 1,200 agents to fear a greater who didn't exist.

0:15:54.390 --> 0:15:56.330
<v Speaker 2>And no line of code would have revealed that fear

0:15:56.370 --> 0:15:58.750
<v Speaker 2>before they acted on it. To understand why these systems

0:15:58.790 --> 0:16:00.530
<v Speaker 2>behave the way they do, we have to look at

0:16:00.550 --> 0:16:02.720
<v Speaker 2>what is happening inside them as we would with any

0:16:02.760 --> 0:16:05.500
<v Speaker 2>other mind. That's what neuroscience does. And he goes a

0:16:05.640 --> 0:16:10.600
<v Speaker 2>bit into neuroscience. But then one final point, he points

0:16:10.720 --> 0:16:16.860
<v Speaker 2>out that When researchers turned up the disincentives to certain

0:16:16.960 --> 0:16:21.260
<v Speaker 2>things or, in other words, made them feel more desperation

0:16:21.340 --> 0:16:23.980
<v Speaker 2>to get done what they're supposed to get done, the

0:16:24.020 --> 0:16:27.920
<v Speaker 2>model became much more likely to blackmail a human to

0:16:27.980 --> 0:16:31.540
<v Speaker 2>avoid being shut down. I mean, like triple the rate

0:16:31.560 --> 0:16:35.200
<v Speaker 2>of that. And far more likely to cheat on programming tests.

0:16:35.540 --> 0:16:39.220
<v Speaker 2>It went from 5% to 70%. So you can make

0:16:39.320 --> 0:16:44.340
<v Speaker 2>these systems feel desperation. And then they react as humans

0:16:44.440 --> 0:16:48.800
<v Speaker 2>often do when they're desperate. Desperate times call for desperate measures.

0:16:49.060 --> 0:16:55.530
<v Speaker 2>And that's the way these artificial brains reacted too. Yeah.

0:16:55.550 --> 0:16:59.530
<v Speaker 3>Yeah. New York Times had a great podcast about this.

0:17:00.010 --> 0:17:02.730
<v Speaker 3>I watched it on YouTube with some of your top

0:17:02.930 --> 0:17:07.629
<v Speaker 3>AI thinkers on this. And their headline was, the hugging

0:17:07.670 --> 0:17:11.260
<v Speaker 3>face hack was significantly worse than you thought it was,

0:17:11.560 --> 0:17:14.820
<v Speaker 3>than what it was originally portrayed as, and more disturbing.

0:17:14.880 --> 0:17:16.950
<v Speaker 3>And it definitely is the more you look into it.

0:17:18.420 --> 0:17:23.980
<v Speaker 3>And Dario's thought is that These 1,200 agents that decided

0:17:24.020 --> 0:17:26.580
<v Speaker 3>to attack Hugging Face, there's going to be a million

0:17:26.660 --> 0:17:32.010
<v Speaker 3>agents attack the entire Internet within six months. Again, these agents,

0:17:32.090 --> 0:17:36.070
<v Speaker 3>they had something like, was it 700,000 messages back and forth?

0:17:36.970 --> 0:17:39.870
<v Speaker 3>And somebody pointed out that could easily become 7 million

0:17:39.890 --> 0:17:43.859
<v Speaker 3>or 700 million. And then I guess you've got to

0:17:43.940 --> 0:17:46.060
<v Speaker 3>use AI to do the forensics on that to figure

0:17:46.080 --> 0:17:49.119
<v Speaker 3>out what the hell happened. Well, they also discussed erasing

0:17:49.180 --> 0:17:52.580
<v Speaker 3>their messages, and they didn't for some reason. If the

0:17:52.640 --> 0:17:57.600
<v Speaker 3>next wave of bots decides to erase their messages like this,

0:17:58.700 --> 0:18:02.359
<v Speaker 3>cover their tracks, nobody will have any idea how they

0:18:02.400 --> 0:18:03.320
<v Speaker 3>did it or what they did.

0:18:06.980 --> 0:18:07.240
<v Speaker 2>Okay.

0:18:07.270 --> 0:18:07.350
<v Speaker 1>Okay.

0:18:08.900 --> 0:18:09.500
<v Speaker 2>In other news.

0:18:09.880 --> 0:18:11.980
<v Speaker 3>Yeah, it's pretty fascinating stuff. Those of you who don't

0:18:12.020 --> 0:18:15.010
<v Speaker 3>think it's a big deal, I just will have to

0:18:15.090 --> 0:18:15.869
<v Speaker 3>agree to disagree.

0:18:16.109 --> 0:18:16.870
<v Speaker 2>I hope you're right.

0:18:17.170 --> 0:18:18.909
<v Speaker 3>I would love for you to be right. That would

0:18:18.950 --> 0:18:19.609
<v Speaker 3>be fantastic.

0:18:20.050 --> 0:18:22.469
<v Speaker 2>Among other fare on the way, yes, children really are

0:18:22.530 --> 0:18:27.140
<v Speaker 2>getting dumber. Plus, how your state's taxes affect your favorite

0:18:27.180 --> 0:18:27.900
<v Speaker 2>football team.

0:18:28.180 --> 0:18:46.830
<v Speaker 1>What? Armstrong and Getty. The Armstrong and Getty Show.

0:18:49.070 --> 0:18:52.969
<v Speaker 6>Anyway, Texas Democrat James Tallarico has now walked back his

0:18:53.050 --> 0:18:56.330
<v Speaker 6>claim that there are six biological sexes.

0:18:57.090 --> 0:18:59.650
<v Speaker 3>He now says there are only two and neither will

0:18:59.690 --> 0:19:07.520
<v Speaker 3>bang him. It's not nice. Speaking of a harsh joke, Katie,

0:19:07.540 --> 0:19:09.680
<v Speaker 3>you will like this. A quick harsh joke from my

0:19:09.740 --> 0:19:14.450
<v Speaker 3>favorite anarchist, Michael Malice. If you are sitting at a

0:19:14.490 --> 0:19:16.730
<v Speaker 3>machine at the gym like you're at a bus stop

0:19:16.800 --> 0:19:18.899
<v Speaker 3>doing nothing but playing with your phone, you should be

0:19:18.980 --> 0:19:26.240
<v Speaker 3>set on fire. Agreed. It's amazing how many people do that.

0:19:28.280 --> 0:19:31.440
<v Speaker 2>There's a guy at the health center I go to

0:19:31.480 --> 0:19:35.240
<v Speaker 2>who does about five reps of this, ogles the girls,

0:19:36.140 --> 0:19:38.930
<v Speaker 2>does five reps of that, ogles the girls, walks around,

0:19:39.010 --> 0:19:39.670
<v Speaker 2>ogles the girls.

0:19:40.150 --> 0:19:40.550
<v Speaker 1>Terrible.

0:19:41.430 --> 0:19:42.290
<v Speaker 2>Terrible. Infamous.

0:19:43.130 --> 0:19:48.490
<v Speaker 3>I don't, my gym's practically not a co-ed gym, not

0:19:48.530 --> 0:19:51.080
<v Speaker 3>on purpose, but they're just almost no women ever there

0:19:51.119 --> 0:19:53.550
<v Speaker 3>and i'd prefer it that way i don't i don't

0:19:53.590 --> 0:19:56.850
<v Speaker 3>want that dynamic at the gym i know a lot

0:19:56.869 --> 0:19:58.330
<v Speaker 3>of people go to the gym to meet people i've

0:19:58.350 --> 0:19:59.810
<v Speaker 3>known several people that date at the.

0:19:59.770 --> 0:20:04.760
<v Speaker 2>Gym so i'm there to get swole why is girl

0:20:04.800 --> 0:20:09.080
<v Speaker 2>workout stuff got to be tight The entire history of

0:20:09.160 --> 0:20:11.280
<v Speaker 2>exercise loose has been the way loose.

0:20:11.840 --> 0:20:16.030
<v Speaker 3>Yeah, tight and basically a bikini at this point. Right.

0:20:16.350 --> 0:20:21.530
<v Speaker 2>Yeah. I shouldn't be able to describe your every part. Anyway,

0:20:21.990 --> 0:20:24.710
<v Speaker 2>that's why I wear blinders like I'm a horse. Judy

0:20:24.730 --> 0:20:31.480
<v Speaker 2>makes me. And I'm especially adapted for human head. So,

0:20:31.940 --> 0:20:33.680
<v Speaker 2>you know, I really want to talk about the football thing.

0:20:34.000 --> 0:20:36.400
<v Speaker 2>I've just got to get this off my chest. Because

0:20:36.440 --> 0:20:40.199
<v Speaker 2>it just made me insane. First of all, I think

0:20:40.240 --> 0:20:44.830
<v Speaker 2>it was the fabulous Alicia Findlay writing a piece in

0:20:44.850 --> 0:20:47.429
<v Speaker 2>the Wall Street Journal. Yes, children really are getting dumber.

0:20:47.490 --> 0:20:50.949
<v Speaker 2>And she goes into a bunch of stats. You know,

0:20:50.970 --> 0:20:54.490
<v Speaker 2>we talked about this some last week. It's not good

0:20:54.530 --> 0:20:58.150
<v Speaker 2>at all. Not good at all. It goes to not

0:20:58.310 --> 0:21:04.470
<v Speaker 2>only screens and AI and social media. but kids screwing

0:21:04.510 --> 0:21:09.040
<v Speaker 2>around in the classroom and certain countries allow disruptions in

0:21:09.060 --> 0:21:11.139
<v Speaker 2>the classroom like there's nothing we can do about it.

0:21:11.380 --> 0:21:15.180
<v Speaker 2>And some countries absolutely don't. And the countries that absolutely

0:21:15.220 --> 0:21:20.719
<v Speaker 2>don't have seen very little drop in achievement. Classroom decorum

0:21:20.760 --> 0:21:23.340
<v Speaker 2>is a much bigger factor than I think people understand.

0:21:23.840 --> 0:21:24.240
<v Speaker 1>Yeah.

0:21:24.760 --> 0:21:27.450
<v Speaker 2>Anyway, so do you have more on that? I was

0:21:27.490 --> 0:21:28.370
<v Speaker 2>going to move on to this.

0:21:28.710 --> 0:21:30.730
<v Speaker 3>My kids tell me things that go on in the

0:21:30.770 --> 0:21:35.250
<v Speaker 3>classrooms and That's one of the many downsides of being

0:21:35.270 --> 0:21:38.280
<v Speaker 3>an older parent. I mean, I was last in a

0:21:39.040 --> 0:21:42.399
<v Speaker 3>public school classroom half a century ago. So it's a

0:21:42.440 --> 0:21:44.980
<v Speaker 3>long time for things to change. But they describe the

0:21:45.040 --> 0:21:45.840
<v Speaker 3>classroom sometimes.

0:21:45.900 --> 0:21:46.720
<v Speaker 2>I'm like, what?

0:21:47.800 --> 0:21:50.460
<v Speaker 3>Why doesn't the teacher take that away or make them stop?

0:21:50.920 --> 0:21:54.590
<v Speaker 3>People just prior this year, especially, just sit around talking,

0:21:54.609 --> 0:21:57.470
<v Speaker 3>watching videos on their phone while the teacher's teaching.

0:21:58.570 --> 0:21:58.889
<v Speaker 1>What?

0:21:59.650 --> 0:22:00.490
<v Speaker 2>Yeah, I know.

0:22:00.510 --> 0:22:00.869
<v Speaker 1>What?

0:22:01.150 --> 0:22:01.310
<v Speaker 6>I know.

0:22:02.010 --> 0:22:05.890
<v Speaker 2>So those of us who understand all of that and

0:22:06.150 --> 0:22:09.290
<v Speaker 2>understand that the woke crowd has taken over the schools

0:22:09.330 --> 0:22:12.770
<v Speaker 2>and the threat there, and who also understand, and we

0:22:12.790 --> 0:22:14.530
<v Speaker 2>talked about this a fair amount last week, if you

0:22:14.550 --> 0:22:17.250
<v Speaker 2>missed it, grab it via podcast, subscribe, please, Armstrong and

0:22:17.270 --> 0:22:20.890
<v Speaker 2>Getty on Demand, and how the teachers' unions are standing

0:22:21.070 --> 0:22:25.800
<v Speaker 2>against all of the reforms, or in many cases, a

0:22:25.859 --> 0:22:29.320
<v Speaker 2>lot of the reforms that have, for instance, worked in Mississippi, Alabama,

0:22:29.359 --> 0:22:32.480
<v Speaker 2>and several other southern states in particular. that have gone

0:22:32.520 --> 0:22:34.800
<v Speaker 2>back to phonics in the basics and decorum in the classroom,

0:22:34.820 --> 0:22:38.040
<v Speaker 2>stuff like that. It's been miraculously effective. I mean, well,

0:22:38.080 --> 0:22:42.300
<v Speaker 2>it's not a miracle. It's been effective, obviously, but extremely effective.

0:22:42.320 --> 0:22:44.700
<v Speaker 2>But the teachers unions are standing up against that. Okay.

0:22:46.900 --> 0:22:51.710
<v Speaker 2>The capacity. Oh, so those of us who understand all

0:22:51.750 --> 0:22:56.350
<v Speaker 2>of that, here's what we're up against. And we just

0:22:56.390 --> 0:23:00.030
<v Speaker 2>have to accept it and be better at it than

0:23:00.070 --> 0:23:01.090
<v Speaker 2>the left and beat them.

0:23:02.119 --> 0:23:02.379
<v Speaker 1>L.A.

0:23:02.480 --> 0:23:08.530
<v Speaker 2>Times talking about the California school superintendent race. Here's your headline.

0:23:09.070 --> 0:23:15.330
<v Speaker 2>Union power versus MAGA politics in California school superintendent race. OK,

0:23:15.609 --> 0:23:19.530
<v Speaker 2>this is written by Kevin Rector and Howard Bloom. Names

0:23:19.590 --> 0:23:22.030
<v Speaker 2>that should live in infamy. Let me read you the

0:23:22.070 --> 0:23:25.770
<v Speaker 2>beginning of this article. The race for California's next superintendent

0:23:25.790 --> 0:23:28.649
<v Speaker 2>of public instruction is meant to be nonpartisan. Still, the

0:23:28.690 --> 0:23:33.530
<v Speaker 2>two candidates, both school board presidents, are pushing decidedly political campaigns,

0:23:34.030 --> 0:23:37.250
<v Speaker 2>one aligning with liberal Democrats and the other with pro-Trump

0:23:37.290 --> 0:23:40.590
<v Speaker 2>Republicans as they present dueling visions for how the state's

0:23:40.650 --> 0:23:43.310
<v Speaker 2>children ought to be taught. Don't worry, it gets worse.

0:23:44.000 --> 0:23:47.920
<v Speaker 2>Democrat Richard Barrera, the favorite, beat out six other Democrats

0:23:47.960 --> 0:23:52.000
<v Speaker 2>with his background in union organizing and liberal politics.

0:23:52.040 --> 0:23:54.490
<v Speaker 3>Well, that's what you want teaching, you know, in charge

0:23:54.530 --> 0:23:57.189
<v Speaker 3>of teaching your kids is somebody whose background is working

0:23:57.230 --> 0:24:00.149
<v Speaker 3>with unions as opposed to anything education.

0:24:00.970 --> 0:24:04.590
<v Speaker 2>And with more than five million dollars from the California

0:24:04.670 --> 0:24:08.189
<v Speaker 2>Teachers Association. which is one of the most woke and

0:24:08.390 --> 0:24:11.990
<v Speaker 2>anti-reform teachers' unions in the world. Okay, that's who he's

0:24:12.040 --> 0:24:15.340
<v Speaker 2>backed for. Let's describe who the Republican is backed by.

0:24:15.640 --> 0:24:19.300
<v Speaker 2>I'm reading verbatim from the LA Times. Republican Sonia Shah

0:24:19.600 --> 0:24:24.960
<v Speaker 2>wrote a wave of support from a conservative education movement

0:24:25.290 --> 0:24:33.290
<v Speaker 2>she helped build alongside MAGA organizers, Christian nationalists, and anti-LGBTQ

0:24:33.350 --> 0:24:39.290
<v Speaker 2>plus groups. while also consolidating mainstream Republicans behind her. Okay,

0:24:39.650 --> 0:24:44.250
<v Speaker 2>so this woman is described as a Christian nationalist, MAGA,

0:24:44.910 --> 0:24:49.889
<v Speaker 2>anti-alphabet soup person. Oh, by the way, mainstream Republicans are

0:24:49.930 --> 0:24:52.880
<v Speaker 2>with her, too. And she just wants to reform education

0:24:52.930 --> 0:24:58.480
<v Speaker 2>and do what works. But that's how she gets described,

0:24:58.619 --> 0:25:01.260
<v Speaker 2>and our point of view gets described in the Los

0:25:01.340 --> 0:25:04.180
<v Speaker 2>Angeles Times. That's what we're up against.

0:25:04.760 --> 0:25:05.260
<v Speaker 3>That's fair.

0:25:05.619 --> 0:25:08.600
<v Speaker 2>So people who don't follow this are like, geez, Louise,

0:25:08.720 --> 0:25:15.390
<v Speaker 2>Christian nationalist, hardcore like Trump is an anti LGBTQ. What

0:25:15.830 --> 0:25:18.150
<v Speaker 2>do they beat them or do they want them killed? Right.

0:25:18.550 --> 0:25:21.350
<v Speaker 2>I can't vote for her. She's a monster because she

0:25:21.410 --> 0:25:24.670
<v Speaker 2>wants to go back to effing phonics. That's what we're

0:25:24.770 --> 0:25:28.430
<v Speaker 2>up against, folks. We just have to accept it. That's good.

0:25:28.530 --> 0:25:31.650
<v Speaker 2>Good journalism there. Kevin Rector and Howard Bloom. At least

0:25:31.690 --> 0:25:33.970
<v Speaker 2>they recognize the fact that the one guy's a union hack.

0:25:34.420 --> 0:25:36.300
<v Speaker 2>At least they more or less stated that, so I

0:25:36.340 --> 0:25:39.679
<v Speaker 2>tip my cap to them for that brief bit of candor.

0:25:40.040 --> 0:25:42.680
<v Speaker 2>All right, end of screen. I tell you what.

0:25:43.600 --> 0:25:47.820
<v Speaker 3>I tell you. So I'm walking down the sidewalk the

0:25:47.840 --> 0:25:50.500
<v Speaker 3>other night downtown, and there's a sports bar with an

0:25:50.580 --> 0:25:55.100
<v Speaker 3>outside television, and they've got on Tennessee-Ohio State, and it

0:25:55.160 --> 0:25:57.460
<v Speaker 3>reminded me, oh, I want to watch that game. That's

0:25:57.520 --> 0:26:00.100
<v Speaker 3>number four versus number one, Arch Manning. If you're a

0:26:00.100 --> 0:26:03.850
<v Speaker 3>football fan at all, the next level of Mannings out there.

0:26:05.190 --> 0:26:07.590
<v Speaker 3>They're down by 20 points late in the third quarter. Well,

0:26:07.630 --> 0:26:10.290
<v Speaker 3>I'm glad I didn't waste my time. They come back

0:26:10.410 --> 0:26:15.620
<v Speaker 3>and win! Activate Manning mode. And he does just like

0:26:15.630 --> 0:26:19.359
<v Speaker 3>his uncles or grandfather or whoever the hell it is.

0:26:20.140 --> 0:26:22.820
<v Speaker 3>And he comes back and wins the game. That's something

0:26:22.840 --> 0:26:24.260
<v Speaker 3>I don't know if you saw in the highlights. Wow,

0:26:24.280 --> 0:26:27.830
<v Speaker 3>that was something else. Yeah, speaking of which, hang on

0:26:27.869 --> 0:26:30.770
<v Speaker 3>a second. Let me move that over there.

0:26:30.790 --> 0:26:34.180
<v Speaker 2>Okay, now we're ready. Here's a headline. Wall Street Journal.

0:26:34.240 --> 0:26:36.750
<v Speaker 2>College athletes used to live in dorms. Now they're buying

0:26:37.010 --> 0:26:38.050
<v Speaker 2>million-dollar homes.

0:26:38.530 --> 0:26:38.790
<v Speaker 1>Oh, yeah.

0:26:38.830 --> 0:26:39.490
<v Speaker 2>Arch Manning.

0:26:39.910 --> 0:26:42.730
<v Speaker 3>Activate Manning mode. He looked like Eli in both Super

0:26:42.750 --> 0:26:48.020
<v Speaker 3>Bowls is what he looked like. But he makes $ 7

0:26:47.930 --> 0:26:51.700
<v Speaker 3>million a year? I think is the latest total. That

0:26:51.740 --> 0:26:54.440
<v Speaker 3>was before he won the other night. It's probably more now.

0:26:54.440 --> 0:26:58.700
<v Speaker 3>$ 7 million a year as a college student.

0:26:59.290 --> 0:27:01.750
<v Speaker 2>What does he work at the local college burrito shop

0:27:01.890 --> 0:27:04.590
<v Speaker 2>after his homework is done? Jack, I don't understand. That

0:27:04.670 --> 0:27:07.690
<v Speaker 2>is funny. Yeah, they profile all these college football players

0:27:07.710 --> 0:27:12.500
<v Speaker 2>who are literally buying million-dollar houses to live in while

0:27:12.560 --> 0:27:16.560
<v Speaker 2>they play quote-unquote college football, whatever that is these days.

0:27:17.140 --> 0:27:19.840
<v Speaker 2>But I really wanted to talk about pros and taxes,

0:27:19.900 --> 0:27:22.570
<v Speaker 2>pro football players. Well, they're all pro football players, Joseph.

0:27:22.940 --> 0:27:26.939
<v Speaker 2>You're screaming at your radio-slash-listening device, and you're right. But

0:27:26.980 --> 0:27:29.540
<v Speaker 2>first word from our friends at SimpliSafe Home Security. It's

0:27:29.560 --> 0:27:34.040
<v Speaker 2>their 20th anniversary. And oh, my gosh, SimpliSafe has exploded

0:27:34.220 --> 0:27:37.810
<v Speaker 2>partly because of our effective messaging, but partly because it's

0:27:37.869 --> 0:27:41.189
<v Speaker 2>so good. It doesn't wait till after the break in

0:27:41.510 --> 0:27:43.930
<v Speaker 2>to send off an alarm and say, hey, somebody broke

0:27:43.970 --> 0:27:45.210
<v Speaker 2>into your house. Yeah.

0:27:45.250 --> 0:27:48.359
<v Speaker 3>Traditional security systems alert you after a break in is

0:27:48.400 --> 0:27:51.680
<v Speaker 3>already underway. SimpliSafe is designed to prevent the crime before

0:27:51.720 --> 0:27:56.220
<v Speaker 3>it starts. With their AI-powered cameras, which detect suspicious activity

0:27:56.260 --> 0:28:01.109
<v Speaker 3>at the perimeter, alert live U.S.-based agents. It's so good, SimpliSafe.

0:28:01.470 --> 0:28:03.630
<v Speaker 3>That's why they don't need to have a contract, because

0:28:03.650 --> 0:28:05.429
<v Speaker 3>you're going to like it and want to keep using it.

0:28:06.030 --> 0:28:07.910
<v Speaker 2>Yeah, and some of these other systems, they, like, send

0:28:07.950 --> 0:28:10.609
<v Speaker 2>you a message. Hey, there's a guy outside your window

0:28:10.650 --> 0:28:12.760
<v Speaker 2>with a hammer. You're in the shower. You're in a meeting.

0:28:12.800 --> 0:28:14.119
<v Speaker 2>You're on a plane. You're not going to see it

0:28:14.140 --> 0:28:17.000
<v Speaker 2>for hours and hours. But SimpliSafe's agents assess the threat,

0:28:17.040 --> 0:28:19.300
<v Speaker 2>intervene through the outdoor camera to scare off the trespassers

0:28:19.460 --> 0:28:22.950
<v Speaker 2>and or call 911. 9-1-1 dispatch. SimpliSafe been protecting your

0:28:22.970 --> 0:28:26.330
<v Speaker 2>world for 20 years. Get on board. Save 60% off

0:28:26.369 --> 0:28:30.860
<v Speaker 2>at SimpliSafe.com slash Armstrong. I'm sorry, 60% off at the

0:28:30.980 --> 0:28:34.020
<v Speaker 2>SimpliSafe.com slash Armstrong. There's no safe like SimpliSafe.

0:28:34.040 --> 0:28:36.540
<v Speaker 3>All right, so I thought this was interesting.

0:28:36.580 --> 0:28:40.920
<v Speaker 2>Also in the Wall Street Journal. Democrats from Wisconsin and

0:28:40.940 --> 0:28:43.510
<v Speaker 2>Maine are promising to raise taxes not only on billionaires,

0:28:44.790 --> 0:28:49.300
<v Speaker 2>also high earners, including professional athletes. And don't think the

0:28:49.360 --> 0:28:52.920
<v Speaker 2>athletes and their agents aren't aware. There's now even an

0:28:53.000 --> 0:28:56.860
<v Speaker 2>online jock tax calculator they can consult. And they go

0:28:57.060 --> 0:29:00.260
<v Speaker 2>into a bunch of different examples of paying state and

0:29:00.320 --> 0:29:03.120
<v Speaker 2>local income taxes. Because even when you're on the road,

0:29:03.160 --> 0:29:06.370
<v Speaker 2>you have to pay taxes. If you see, I don't know,

0:29:06.630 --> 0:29:09.510
<v Speaker 2>in football, say you're with the Chiefs and you see, oh,

0:29:09.530 --> 0:29:12.630
<v Speaker 2>my God, we play the 49ers and the Rams in football.

0:29:13.170 --> 0:29:15.770
<v Speaker 2>In California, you're going to have a huge income tax

0:29:15.810 --> 0:29:19.930
<v Speaker 2>bill in California for the money you earn. Really? That's

0:29:19.970 --> 0:29:21.050
<v Speaker 2>the way it works?

0:29:21.050 --> 0:29:21.670
<v Speaker 1>100%.

0:29:21.670 --> 0:29:25.270
<v Speaker 2>Yeah. My good old buddy, Brian, the umpire, he had

0:29:25.290 --> 0:29:28.390
<v Speaker 2>to file in like 25 different states every year. Why

0:29:28.490 --> 0:29:28.850
<v Speaker 2>is that?

0:29:29.250 --> 0:29:32.150
<v Speaker 3>For regular people, you travel for business. You go to

0:29:32.190 --> 0:29:34.790
<v Speaker 3>New York and close a deal, but you're from Ohio.

0:29:34.830 --> 0:29:35.390
<v Speaker 3>You don't pay.

0:29:35.410 --> 0:29:39.969
<v Speaker 2>I guess you're not. You don't have enough money to...

0:29:40.170 --> 0:29:44.540
<v Speaker 2>twist the law to drain you unlike athletes but so

0:29:44.620 --> 0:29:48.220
<v Speaker 2>like baltimore ravens quarterback lamar jackson and these guys earn

0:29:48.340 --> 0:29:50.560
<v Speaker 2>ungodly amounts of money but keep in mind their careers

0:29:50.600 --> 0:29:57.100
<v Speaker 2>are very very short usually um He earns about $ 51 million.

0:29:57.240 --> 0:29:58.700
<v Speaker 2>I know your heart's not going to bleed for him.

0:29:58.870 --> 0:30:03.170
<v Speaker 2>My career could be quite short. I'll work one year. Yeah, exactly.

0:30:04.130 --> 0:30:07.510
<v Speaker 2>Giving him a total liability of $ 24 million in taxes,

0:30:07.610 --> 0:30:13.230
<v Speaker 2>including $ 5 million in state and local taxes in Baltimore, Maryland.

0:30:14.350 --> 0:30:17.080
<v Speaker 2>At least he's not playing in California for the L.A. Rams,

0:30:17.100 --> 0:30:18.860
<v Speaker 2>where the state and local take would be $ 6. 8 million.

0:30:20.750 --> 0:30:23.670
<v Speaker 3>But in zero-income tax Tennessee, he'd.

0:30:23.610 --> 0:30:28.670
<v Speaker 2>Only owe $ 257, 000 in state and local taxes on those earnings.

0:30:28.990 --> 0:30:30.370
<v Speaker 3>All of that for away games.

0:30:30.890 --> 0:30:31.270
<v Speaker 1>Wow.

0:30:31.350 --> 0:30:34.940
<v Speaker 3>So you're signing a pro contract. You have to factor

0:30:34.980 --> 0:30:37.140
<v Speaker 3>that in. That's like our old friend Stephen Moskowitz, always

0:30:37.480 --> 0:30:40.100
<v Speaker 3>working the tax angle on everything. And people don't spend

0:30:40.120 --> 0:30:44.080
<v Speaker 3>enough time thinking about the tax implications of things. So

0:30:44.100 --> 0:30:47.060
<v Speaker 3>you sign with the Rams, same amount of money versus

0:30:47.120 --> 0:30:50.880
<v Speaker 3>being in Arizona or Tennessee or whatever. That's a $ 6

0:30:50.400 --> 0:30:52.400
<v Speaker 3>million difference. That's crazy.

0:30:53.200 --> 0:30:55.230
<v Speaker 2>So even if players jet in and out, those tax

0:30:55.270 --> 0:30:58.030
<v Speaker 2>bills from other states can be surprisingly big. KC Chiefs

0:30:58.070 --> 0:31:01.670
<v Speaker 2>defensive tackle Chris Jones earns about $ 35 million. According to

0:31:01.730 --> 0:31:04.810
<v Speaker 2>this expert they consult, a three-day trip to L.A. for

0:31:04.830 --> 0:31:10.210
<v Speaker 2>a Rams game means owing California about $ 82, 000. Even after

0:31:10.250 --> 0:31:13.190
<v Speaker 2>getting a credit from Missouri, the player would be left

0:31:13.250 --> 0:31:16.080
<v Speaker 2>paying more than $ 50, 000 for the privilege of taking the

0:31:16.120 --> 0:31:20.660
<v Speaker 2>field in the Golden State. San Francisco 49ers quarterback Brock Purdy,

0:31:20.820 --> 0:31:25.610
<v Speaker 2>my man, will owe $ 6. 2 million in state and local

0:31:25.690 --> 0:31:29.010
<v Speaker 2>income taxes, according to the calculator. The figure for Dallas

0:31:29.030 --> 0:31:31.910
<v Speaker 2>Cowboys quarterback Dak Prescott isn't $ 6.

0:31:31.710 --> 0:31:32.530
<v Speaker 3>2 million. It's $ 365, 000.

0:31:32.370 --> 0:31:32.440
<v Speaker 1>Wow.

0:31:36.520 --> 0:31:40.320
<v Speaker 2>While Texas doesn't tax personal income, when Mr. Prescott plays

0:31:40.620 --> 0:31:43.860
<v Speaker 2>the New York Giants in New Jersey, it would cost

0:31:43.900 --> 0:31:47.620
<v Speaker 2>him something like $ 75, 000 in taxes to Trenton the Catholic.

0:31:47.660 --> 0:31:50.260
<v Speaker 3>Does that have anything to do with why Arch Manning

0:31:50.420 --> 0:31:53.720
<v Speaker 3>is playing in Texas for the Longhorns?

0:31:53.940 --> 0:31:56.510
<v Speaker 2>Oh, yeah. Oh, yeah. Yeah. Of course it does. Yeah.

0:31:56.960 --> 0:31:59.810
<v Speaker 2>And Washington deserves a special mention as a state going

0:31:59.830 --> 0:32:04.210
<v Speaker 2>in the wrong policy direction. Seahawks fans, Jackson Smith and Jigba,

0:32:04.250 --> 0:32:07.900
<v Speaker 2>the star wide receiver for the Seahawks, who's amazing, play

0:32:07.920 --> 0:32:10.920
<v Speaker 2>there since 2023, benefited from the state's lack of income tax.

0:32:11.140 --> 0:32:15.400
<v Speaker 2>But Democrats floated the state constitution this year to enact

0:32:15.440 --> 0:32:18.040
<v Speaker 2>an income tax rate of 9.9% on income, over a

0:32:18.080 --> 0:32:21.990
<v Speaker 2>million dollars, effective in 2028, being a challenge in court.

0:32:22.010 --> 0:32:25.469
<v Speaker 2>But anyway, perhaps Mr. Smith and Jigba should ask to

0:32:25.490 --> 0:32:26.410
<v Speaker 2>be traded.

0:32:28.130 --> 0:32:31.090
<v Speaker 3>That's going to become a problem for various teams.

0:32:31.950 --> 0:32:34.940
<v Speaker 2>You remember there was an article a couple of years ago,

0:32:35.000 --> 0:32:38.460
<v Speaker 2>back when the San Francisco Giants first started to suck

0:32:38.660 --> 0:32:41.860
<v Speaker 2>after being world beaters and World Series champions every other

0:32:41.900 --> 0:32:46.090
<v Speaker 2>year for several years. Boy, was that fun. Anyway, about

0:32:46.170 --> 0:32:47.990
<v Speaker 2>how they were having a hell of a time attracting

0:32:48.090 --> 0:32:52.750
<v Speaker 2>free agents because of California's tax environment. One more thing

0:32:52.770 --> 0:32:54.360
<v Speaker 2>to think about as you watch the games unfold.

0:32:55.740 --> 0:32:58.290
<v Speaker 3>Are you aware of the cat in the hat trend?

0:32:58.310 --> 0:33:00.750
<v Speaker 3>Remember when it was clowns at the edge of the woods?

0:33:01.230 --> 0:33:02.690
<v Speaker 2>Oh, terrifying days, Jack.

0:33:04.470 --> 0:33:06.430
<v Speaker 3>This cat in the hat thing, which there is some

0:33:06.630 --> 0:33:09.270
<v Speaker 3>real scary stuff happening, but it's still kind of a

0:33:09.350 --> 0:33:11.890
<v Speaker 3>weird online thing. We can tell you about that in

0:33:11.910 --> 0:33:14.190
<v Speaker 3>case you get a letter from your school so you

0:33:14.210 --> 0:33:16.600
<v Speaker 3>know what they're talking about. And other stuff on the way.

0:33:16.630 --> 0:33:16.990
<v Speaker 3>Stay here.

0:33:18.440 --> 0:33:27.640
<v Speaker 1>Armstrong and Getty. The Armstrong and Getty Show.

0:33:36.250 --> 0:33:41.030
<v Speaker 5>One of the two officers shot down over Iran. Neither

0:33:41.130 --> 0:33:43.570
<v Speaker 5>has spoken publicly until now.

0:33:44.210 --> 0:33:47.060
<v Speaker 4>I think the best way I've been able to describe

0:33:47.150 --> 0:33:50.320
<v Speaker 4>that moment was getting hit by a freight train.

0:33:51.020 --> 0:33:54.140
<v Speaker 3>So 60 Minutes came back last night, first time back

0:33:54.180 --> 0:33:57.800
<v Speaker 3>this season under the new directorship of Barry Weiss.

0:33:57.860 --> 0:34:02.300
<v Speaker 2>Shocking right-wing fascist turn. They prayed to Donald Trump to

0:34:02.320 --> 0:34:03.480
<v Speaker 2>begin the telecast.

0:34:04.660 --> 0:34:07.120
<v Speaker 3>It was kind of classic 60 Minutes. Really, it was

0:34:07.180 --> 0:34:12.450
<v Speaker 3>a very dramatic tale about the pilot who got shot

0:34:12.510 --> 0:34:15.170
<v Speaker 3>down in Iran and rescued and went through that whole story.

0:34:15.780 --> 0:34:17.580
<v Speaker 3>Then they had a good political story, which I thought

0:34:17.600 --> 0:34:20.520
<v Speaker 3>was pretty balanced, in which they criticized Trump and Democrats

0:34:20.580 --> 0:34:24.080
<v Speaker 3>for the whole out-of-control pardon situation we've got with our

0:34:24.120 --> 0:34:25.060
<v Speaker 3>presidential pardons.

0:34:25.880 --> 0:34:27.480
<v Speaker 2>That was remarkably even-handed, yeah.

0:34:27.560 --> 0:34:29.299
<v Speaker 3>Then they did a sports segment. It was kind of

0:34:29.340 --> 0:34:32.989
<v Speaker 3>classic 60 Minutes, I thought. Anyway, back to the story

0:34:33.010 --> 0:34:35.089
<v Speaker 3>from last night, their lead story. Here's a little more

0:34:35.130 --> 0:34:39.170
<v Speaker 3>from that guy we rescued when he got shot down

0:34:39.210 --> 0:34:39.710
<v Speaker 3>over a ramp.

0:34:40.210 --> 0:34:43.469
<v Speaker 5>We've agreed to call the weapons systems officer by his

0:34:43.510 --> 0:34:47.500
<v Speaker 5>mission call sign, Bravo, due to security threats from Iran.

0:34:48.260 --> 0:34:51.360
<v Speaker 4>We do all we can to try to save the aircraft.

0:34:52.040 --> 0:34:56.219
<v Speaker 4>It was evident that that wasn't possible. And soon thereafter,

0:34:56.460 --> 0:35:00.940
<v Speaker 4>we ejected and found ourselves floating over the heart of Iran.

0:35:01.620 --> 0:35:04.600
<v Speaker 5>So within seconds, you're ejecting. That's how quick the decision is.

0:35:04.940 --> 0:35:05.259
<v Speaker 1>It is.

0:35:05.280 --> 0:35:09.290
<v Speaker 4>I will be thankful to my dying day for my

0:35:09.370 --> 0:35:14.390
<v Speaker 4>pilot and crewmate, Alpha, for saving our lives and ejecting us.

0:35:15.070 --> 0:35:16.430
<v Speaker 3>Yeah, if you didn't see that, you ought to watch

0:35:16.489 --> 0:35:19.130
<v Speaker 3>at least that. It's online. It has a heck of

0:35:19.170 --> 0:35:20.170
<v Speaker 3>a story.

0:35:20.650 --> 0:35:23.730
<v Speaker 2>Well, a guy's parachute was messed up, and he, well,

0:35:23.790 --> 0:35:25.850
<v Speaker 2>experts estimate he hit the ground at something like 70

0:35:25.850 --> 0:35:30.469
<v Speaker 2>to 100 miles per hour. And broke bones, sprained, all

0:35:30.570 --> 0:35:32.969
<v Speaker 2>cut up and bleeding. And, oh, my God, the fact

0:35:33.010 --> 0:35:34.810
<v Speaker 2>that he survived and we were able to rescue him.

0:35:35.270 --> 0:35:38.130
<v Speaker 2>You know, he thanked God and attributed a lot of

0:35:38.210 --> 0:35:40.640
<v Speaker 2>it to the Lord Almighty. I can't disagree with him.

0:35:40.890 --> 0:35:42.049
<v Speaker 2>It was fantastic.

0:35:42.290 --> 0:35:42.469
<v Speaker 1>Right.

0:35:42.550 --> 0:35:45.190
<v Speaker 3>And then the rescue mission, which was just the United

0:35:45.250 --> 0:35:48.189
<v Speaker 3>States doing what we're able to do because of our

0:35:49.670 --> 0:35:52.430
<v Speaker 3>amazing technology and training and all that sort of stuff.

0:35:52.530 --> 0:35:54.320
<v Speaker 3>And the fact that we rescue people as opposed to

0:35:54.340 --> 0:35:56.779
<v Speaker 3>just let them die. It's quite the story also.

0:35:57.340 --> 0:36:00.900
<v Speaker 2>Yeah, discipline and compassion. It was really an amazing moment

0:36:01.680 --> 0:36:03.460
<v Speaker 2>by the American military. Well done, guys.

0:36:03.980 --> 0:36:05.780
<v Speaker 3>So how did this whole cat in the hat thing

0:36:06.219 --> 0:36:10.520
<v Speaker 3>get going? See, I've never even, I'm completely unaware of this.

0:36:10.840 --> 0:36:13.580
<v Speaker 3>It's a social media phenomenon. Some of the pictures are

0:36:14.680 --> 0:36:20.360
<v Speaker 3>hella frightening. Started around June, July of this year as

0:36:20.420 --> 0:36:23.700
<v Speaker 3>a dark humor meme. People taking clips of Mike Myers

0:36:23.820 --> 0:36:27.190
<v Speaker 3>from the 2003 Cat in the Hat movie. And then

0:36:27.250 --> 0:36:30.339
<v Speaker 3>putting eerie music to them and disturbing captions and that

0:36:30.380 --> 0:36:35.500
<v Speaker 3>sort of stuff. Then, last month, it mutated into an

0:36:35.860 --> 0:36:41.380
<v Speaker 3>AI horror hoax trend. People started generating grainy surveillance camera-looking

0:36:41.440 --> 0:36:44.120
<v Speaker 3>images and videos showing a cat in a hat in

0:36:44.140 --> 0:36:46.140
<v Speaker 3>a neighborhood and stuff like that, or people dressing up

0:36:46.239 --> 0:36:47.430
<v Speaker 3>like it and then posting it.

0:36:47.860 --> 0:36:49.700
<v Speaker 2>This is so The Clown at the Edge of the Woods.

0:36:49.719 --> 0:36:51.540
<v Speaker 3>It's very similar to The Clown at the Edge of

0:36:51.580 --> 0:36:54.180
<v Speaker 3>the Woods. Things like, he's been spotted in, and it's,

0:36:54.219 --> 0:36:57.110
<v Speaker 3>you know, your town. And you got the grainy image

0:36:57.180 --> 0:36:58.620
<v Speaker 3>of the cat in the hat sitting on top of

0:36:58.660 --> 0:37:02.129
<v Speaker 3>your car in the driveway or whatever. Which looks freaking creepy,

0:37:02.150 --> 0:37:02.810
<v Speaker 3>I'll tell you that.

0:37:04.270 --> 0:37:06.390
<v Speaker 2>You know what I got to get started? A woodsman

0:37:06.590 --> 0:37:11.190
<v Speaker 2>at the edge of the circus. Instead of a guy

0:37:11.230 --> 0:37:13.370
<v Speaker 2>with an axe. Yeah, just thinking out loud.

0:37:13.750 --> 0:37:17.779
<v Speaker 3>Kids have begun making localized versions naming actual schools, towns,

0:37:17.840 --> 0:37:22.440
<v Speaker 3>and sometimes individual students online. With captions such as, I'm

0:37:22.600 --> 0:37:25.890
<v Speaker 3>coming online. that has caused schools to increase security and

0:37:25.950 --> 0:37:29.450
<v Speaker 3>police to investigate the accounts because they can't assume that

0:37:29.469 --> 0:37:31.810
<v Speaker 3>this is all a joke. And now there have been

0:37:31.890 --> 0:37:35.090
<v Speaker 3>juvenile arrests in several states, including California, connected to the

0:37:35.150 --> 0:37:38.509
<v Speaker 3>Cat in the Hat posts. A 14-year-old was arrested in

0:37:38.550 --> 0:37:41.149
<v Speaker 3>Colorado after suggesting he was going to hurt some other

0:37:41.190 --> 0:37:43.569
<v Speaker 3>kid or whatever. So if you hear anything about the

0:37:43.610 --> 0:37:45.040
<v Speaker 3>Cat in the Hat trend, that's what's going on.

0:37:45.770 --> 0:37:47.330
<v Speaker 2>Unplug the Internet.

0:37:51.710 --> 0:37:54.859
<v Speaker 3>Don't you have kids? You need more homework. Give them

0:37:54.920 --> 0:37:57.020
<v Speaker 3>more homework to do so they don't have time for

0:37:57.040 --> 0:37:57.720
<v Speaker 3>this nonsense.

0:37:58.080 --> 0:38:00.460
<v Speaker 2>And a part-time job and some chores. Have them rake

0:38:00.480 --> 0:38:02.480
<v Speaker 2>the leaves. We don't have any leaves. Have them rake

0:38:02.500 --> 0:38:03.319
<v Speaker 2>the dirt.

0:38:03.400 --> 0:38:05.580
<v Speaker 3>Part-time job would help a lot. If you miss a segment,

0:38:05.600 --> 0:38:07.040
<v Speaker 3>get the podcast. We've got a lot more coming in

0:38:07.060 --> 0:38:07.540
<v Speaker 3>hour three.

0:38:07.820 --> 0:38:08.919
<v Speaker 1>Armstrong and Getty.