WEBVTT - UL NO. 471 | STANDARD EDITION: Cyber Standing Down, China's Innovation Burst, PC vs. NPC, Why AI Can't Understand, and more... 0:00:00.800 --> 0:00:04.939 Unsupervised Learning is a podcast about trends and ideas in cybersecurity, 0:00:04.970 --> 0:00:10.010 national security, AI, technology and society, and how best to 0:00:10.039 --> 0:00:17.510 upgrade ourselves to be ready for what's coming. All right, 0:00:17.510 --> 0:00:21.890 welcome to Unsupervised Learning is Daniel and episode 471. Hope 0:00:21.890 --> 0:00:25.340 your week is going well. Updates on my side want 0:00:25.340 --> 0:00:28.610 to publicly shame myself here, so I basically hack and 0:00:28.610 --> 0:00:33.019 write for most of the day for work, and pretty 0:00:33.020 --> 0:00:37.339 much every single meal I have at some fast food restaurant, 0:00:37.340 --> 0:00:42.470 which is just unbelievable for somebody who is supposed to 0:00:42.470 --> 0:00:44.900 be smart. It is really bad for your health to 0:00:44.930 --> 0:00:48.500 do this, and it's really pure laziness and also just 0:00:48.500 --> 0:00:51.980 intimidation of like how to do this cooking thing properly 0:00:51.979 --> 0:00:54.800 and basically go and eat in the car and come 0:00:54.800 --> 0:00:59.570 back and get right back into working. Um, but I 0:00:59.570 --> 0:01:03.440 Must start cooking at home. Now, I put this in 0:01:03.440 --> 0:01:06.679 the newsletter and the newsletter went out before you're hearing this. 0:01:06.709 --> 0:01:11.390 As you probably know, and, uh, I got close to 0:01:11.420 --> 0:01:18.710 500 email responses. It was absolutely overwhelming. It is. Hundreds 0:01:18.709 --> 0:01:22.730 of people reaching out already bought my pressure cooker or 0:01:22.730 --> 0:01:26.150 what is it? Instant pot already bought that thing because 0:01:26.150 --> 0:01:28.820 everyone pointed me to that being like the best way 0:01:28.819 --> 0:01:33.440 to do things. And, uh, got a specific one, which 0:01:33.440 --> 0:01:36.140 seemed to be like one of the most popular ones. Also, 0:01:36.140 --> 0:01:39.560 it was on Wirecutter, I think, as well. But, uh, yeah, 0:01:39.590 --> 0:01:41.150 I'm going to try to do the eggs thing. I'm 0:01:41.150 --> 0:01:43.580 going to try to do the steak thing and, uh, 0:01:43.580 --> 0:01:47.750 really appreciate all of you who responded to help me out. 0:01:47.780 --> 0:01:50.360 It sounds like a lot of us have been going 0:01:50.360 --> 0:01:53.690 through that and have figured it out to some degree. 0:01:53.690 --> 0:01:57.830 So really appreciate all the feedback. If you're into cloud security, 0:01:57.860 --> 0:02:00.860 you need to be following my buddy Rich mogul's cloud 0:02:00.860 --> 0:02:05.420 security lab a week. So cloud slaw is one of 0:02:05.420 --> 0:02:08.120 the absolute best cloud security people on Earth. And he's 0:02:08.120 --> 0:02:12.829 putting out really high quality labs for free, like every week. 0:02:12.860 --> 0:02:15.710 And he's like an EMT and he's like a really 0:02:15.710 --> 0:02:20.270 great guy. He's just fantastic. So definitely recommend you check 0:02:20.270 --> 0:02:25.040 him out. Cloud slaw. Rich Mogull and AI's ultimate use 0:02:25.040 --> 0:02:28.130 case transition from current to desired state. I'm going to 0:02:28.130 --> 0:02:29.780 do a separate video about this. So I'm not going 0:02:29.810 --> 0:02:32.960 to talk about this blog post. Cybersecurity. A lot of 0:02:32.960 --> 0:02:36.739 confusion about what's happening in the Trump administration supposedly standing 0:02:36.740 --> 0:02:40.880 down U.S. cyber operations around Russia. So stories first say 0:02:40.880 --> 0:02:43.160 it's like government wide, and then it's like, no, it's 0:02:43.160 --> 0:02:46.640 not really all the government. It's only certain departments. These 0:02:46.639 --> 0:02:50.510 things are happening so fast. You and you don't know 0:02:50.510 --> 0:02:52.550 the quality of the signal that we're getting from these 0:02:52.550 --> 0:02:55.940 different sources. So it's like I tend to like be 0:02:55.940 --> 0:02:59.720 waiting and just seeing what actually turns out to be 0:02:59.720 --> 0:03:04.190 the case because something could be hyper overblown. It's just 0:03:04.190 --> 0:03:06.650 really hard to track things right now because it's so 0:03:06.650 --> 0:03:09.320 much chaos going on. And I've got a lot to say, though, 0:03:09.320 --> 0:03:14.510 about the general vibe of the administration seeming to move 0:03:14.540 --> 0:03:20.299 towards Russia and away from trusting its own Intel people. 0:03:20.300 --> 0:03:22.580 So that is a really huge problem for me, which 0:03:22.580 --> 0:03:25.070 I'm going to talk about more below. VMware is releasing 0:03:25.100 --> 0:03:30.230 emergency patches for three actively exploited flaws in ESXi workstation 0:03:30.230 --> 0:03:35.510 and fusion new polyglot malware campaign called Suzano, targeting aviation 0:03:35.510 --> 0:03:39.230 and satellite companies in the UAE. Hirsch IoT intercoms are 0:03:39.230 --> 0:03:43.340 letting anyone with Google access unlock apartment doors due to 0:03:43.370 --> 0:03:46.730 known default credentials. So this is like somebody could use 0:03:46.730 --> 0:03:50.210 an app to, like, break into apartments who are protected 0:03:50.210 --> 0:03:54.350 by this particular type of IoT. When IoT was a 0:03:54.350 --> 0:03:57.950 big thing, like the talk about IoT was a big thing. 0:03:58.310 --> 0:04:02.090 When was that? Was that like 2012? 2015? I feel 0:04:02.090 --> 0:04:05.900 like it was around that area. And I did a 0:04:05.900 --> 0:04:08.180 lot of press at that time talking about it. And 0:04:08.180 --> 0:04:10.250 I was just like, I think this is kind of 0:04:10.250 --> 0:04:14.540 overblown because what people don't realize about this is you 0:04:14.540 --> 0:04:17.359 have to properly threat model. So you have to look 0:04:17.360 --> 0:04:20.779 at the Venn diagram of people who want to break 0:04:20.779 --> 0:04:25.730 into places and steal things and are willing to break 0:04:25.760 --> 0:04:29.210 the law in order to do that. That's one circle. 0:04:29.570 --> 0:04:32.780 The other circle is people who don't know how to 0:04:32.810 --> 0:04:36.140 do it. They are unable to get into the building. 0:04:36.140 --> 0:04:40.430 It's like too difficult. The locks are stopping them. The 0:04:40.430 --> 0:04:44.000 technology is stopping them. The security is stopping them. It's 0:04:44.000 --> 0:04:46.190 just a huge problem for them, right? They're not able 0:04:46.190 --> 0:04:48.680 to do it. Now, what does this look like for 0:04:48.710 --> 0:04:52.070 a Venn diagram? Now, to illuminate this more, think about 0:04:52.070 --> 0:04:56.780 what this particular vulnerability is actually going to do to 0:04:56.839 --> 0:05:00.050 these two, then to these two circles in the Venn. 0:05:00.050 --> 0:05:03.080 I think the answer is it's not going to add 0:05:03.080 --> 0:05:07.250 too many people to the ones who are actually willing 0:05:07.279 --> 0:05:10.550 to do the damage. And I don't think it's ultimately 0:05:10.550 --> 0:05:16.100 going to result in too many more people getting broken into. So, 0:05:16.100 --> 0:05:19.070 in other words, the people who want to break into 0:05:19.100 --> 0:05:23.270 apartment buildings, the people who want to break into, uh, 0:05:23.450 --> 0:05:27.200 people's homes, people's apartments. I don't think they are limited 0:05:27.200 --> 0:05:29.840 by not being able to get in. I think locks 0:05:29.839 --> 0:05:33.290 are too easy to pick and they can get by. Now, 0:05:33.290 --> 0:05:36.260 the question is, are there cameras that actually record them 0:05:36.260 --> 0:05:39.529 doing it? And here's a better question. The cameras aren't 0:05:39.529 --> 0:05:44.570 going away. So is the disincentive because of the cameras? 0:05:44.600 --> 0:05:49.969 Isn't that still there still stopping a person from potentially 0:05:49.970 --> 0:05:52.940 doing this. So I think people will see something like 0:05:52.940 --> 0:05:55.430 this and they're like, oh, that's game over. No, you 0:05:55.430 --> 0:05:57.679 have to threat model. This is why threat modeling is 0:05:57.680 --> 0:06:00.500 like one of the most important skill sets that you 0:06:00.500 --> 0:06:05.000 could learn for life in general. I'm very thankful for 0:06:05.000 --> 0:06:09.500 my security education and, you know, all the workshops and 0:06:09.500 --> 0:06:12.650 tabletops and everything I've done with threat modeling because it's 0:06:12.650 --> 0:06:15.380 a universal life skill, because a lot of things are 0:06:15.380 --> 0:06:20.600 emotionally charged. I'm moving to this new city. Oh, it's supposedly, uh, 0:06:20.600 --> 0:06:25.219 supposedly a dangerous area to be. Um, it's, you know, 0:06:25.250 --> 0:06:27.710 there's been x number of crimes in this area. There's 0:06:27.740 --> 0:06:31.040 X number of car crashes with this particular type of car. 0:06:31.040 --> 0:06:34.850 When you actually gather the data and throw together how 0:06:34.850 --> 0:06:37.160 you plan on using this thing, or how you plan 0:06:37.160 --> 0:06:40.400 on attackers using this thing or whatever, and you start 0:06:40.400 --> 0:06:44.630 moving through the scenarios that you're worried about. Usually you 0:06:44.630 --> 0:06:49.370 end up realizing the things you are emotionally worried about 0:06:49.400 --> 0:06:53.000 are not the ones, and oftentimes the things you're not 0:06:53.000 --> 0:06:56.539 emotionally worried about actually are the ones. So this is 0:06:56.540 --> 0:07:00.080 a big exercise in, you know, the work of Kahneman 0:07:00.080 --> 0:07:05.270 where he realized, you know, bias and mental models and 0:07:05.270 --> 0:07:09.380 perception is actually far more important to how we see 0:07:09.380 --> 0:07:12.890 the world than actual reality. And that really needs to 0:07:12.920 --> 0:07:15.830 be applied when you're thinking about things like this in, 0:07:15.860 --> 0:07:18.980 in cyber or other types of security. Brute forcing attackers 0:07:18.980 --> 0:07:22.130 are targeting thousands of ISP networks in the US and 0:07:22.130 --> 0:07:25.580 China to deploy stealers that grab crypto wallets and mine 0:07:25.580 --> 0:07:30.680 Monero on compromised systems. Meta terminated 20 employees for sharing 0:07:30.680 --> 0:07:34.760 internal info outside the company after recent stories about unannounced 0:07:34.760 --> 0:07:38.929 products and meetings. Really cool wired thing here. It's a 0:07:38.930 --> 0:07:42.440 wired video shows how Tesla vehicles record everything from driver 0:07:42.440 --> 0:07:47.840 behavior to biometric data. Ask some pretty smart privacy questions 0:07:47.840 --> 0:07:51.290 about this whole system. And yeah, it was a great video. 0:07:51.320 --> 0:07:54.140 I watched the whole thing and a lot of it 0:07:54.170 --> 0:07:57.020 is not alarming. A lot. Some of the stuff towards 0:07:57.020 --> 0:07:59.300 the end, the end is like really where the meat 0:07:59.330 --> 0:08:03.140 of this thing is basically talking about how there's been 0:08:03.140 --> 0:08:08.060 some cases of things being abused, like recordings from inside 0:08:08.060 --> 0:08:10.820 of cars and stuff like that. I don't think it's widespread. 0:08:10.850 --> 0:08:13.220 Otherwise we would have heard a lot more about it, 0:08:13.220 --> 0:08:17.120 but it's something to keep in mind. It's especially something 0:08:17.150 --> 0:08:19.310 to keep in mind when you're talking about like BYD, 0:08:19.340 --> 0:08:23.210 which is the main Tesla competitor, and they're likely to 0:08:23.240 --> 0:08:26.690 be here in the US soon, I'm guessing. And it's 0:08:26.690 --> 0:08:29.510 a pure Chinese company. Okay, so if they have the 0:08:29.510 --> 0:08:34.580 same sort of monitoring capability and infrastructure that Tesla does, 0:08:34.580 --> 0:08:38.330 but it's a Chinese company, whole different game for me. 0:08:38.360 --> 0:08:42.350 I've not been super worried about all this surveillance stuff 0:08:42.350 --> 0:08:47.030 inside of consumer tech, uh, because of how much I 0:08:47.030 --> 0:08:51.470 trust or don't trust the products, where I have cameras, 0:08:51.470 --> 0:08:55.080 where I have microphones in my house or in my car, 0:08:55.080 --> 0:08:59.520 and which companies I'm allowing to actually be part of 0:08:59.520 --> 0:09:06.000 that network. Right. So I trust Apple very highly, uh, 0:09:06.000 --> 0:09:08.160 not only because I worked there for a few years 0:09:08.160 --> 0:09:11.640 in the actual security group, but just because it's pretty 0:09:11.640 --> 0:09:16.020 clear how much importance they're putting on privacy and security. 0:09:16.020 --> 0:09:19.620 And I know that is confirmed for me personally because 0:09:19.620 --> 0:09:21.900 I've been on the inside. That's not the case for Google. 0:09:21.900 --> 0:09:24.870 For me, it's not the case for Amazon. For me, 0:09:24.870 --> 0:09:27.780 it's not the case for meta, necessarily. For me, not 0:09:27.780 --> 0:09:30.449 as much as Apple. And it's damn sure not the 0:09:30.450 --> 0:09:35.220 case for some Chinese company like TikTok or, or, uh, 0:09:35.370 --> 0:09:39.150 you know, ByteDance or whoever it is, or BYD when 0:09:39.150 --> 0:09:41.580 those cars come. So you got to think about who 0:09:41.610 --> 0:09:44.460 you're sending this stuff actually to. What are their long 0:09:44.490 --> 0:09:48.660 term goals? National security. China's research output on next gen 0:09:48.660 --> 0:09:52.020 chipmaking tech is now double that of the US, which 0:09:52.020 --> 0:09:57.200 suggests that the bands are actually forcing them to get 0:09:57.200 --> 0:10:03.679 smarter and more. Innovative. Innovative. That's a word. Innovative. So basically, 0:10:03.679 --> 0:10:06.680 I was trying to say innovative. I was trying to 0:10:06.679 --> 0:10:09.469 say like the British version of that word. Anyway, it 0:10:09.470 --> 0:10:14.030 didn't work, but we could be forcing innovation from China, 0:10:14.030 --> 0:10:18.500 where they were relying before on theft and relying before 0:10:18.530 --> 0:10:22.520 on just kind of like buying other people's good stuff. 0:10:22.520 --> 0:10:25.490 So we might be getting the exact opposite of what 0:10:25.490 --> 0:10:28.760 we planned on getting. We might be waking them up, 0:10:28.760 --> 0:10:31.400 which is which is really interesting to think about when 0:10:31.400 --> 0:10:36.079 you think about economics and like stimulus and response, but 0:10:36.080 --> 0:10:40.790 also quite concerning. Tulsi Gabbard, new director of national intelligence, 0:10:40.790 --> 0:10:44.600 is firing more than 100 intelligence officers for sharing explicit 0:10:44.600 --> 0:10:49.100 messages on an NSA internal platform. But I'm calling shenanigans 0:10:49.100 --> 0:10:52.130 on this. A number of my trans friends who know 0:10:52.130 --> 0:10:54.860 a lot about intelligence and cyber are saying this is 100% 0:10:54.860 --> 0:10:58.460 an attempt to remove trans people from government, and they're 0:10:58.460 --> 0:11:02.179 using like this explicit content thing as like the cover 0:11:02.179 --> 0:11:04.910 story for that. It looks like the messages in question 0:11:04.940 --> 0:11:09.140 were like about getting like bottom surgery. Similar topics. Kind 0:11:09.170 --> 0:11:13.429 of like women talking about post-pregnancy body issues or whatever. 0:11:13.460 --> 0:11:16.910 So it could be considered explicit or personal or gross 0:11:16.910 --> 0:11:19.370 or whatever in certain lights. But that's all part of 0:11:19.370 --> 0:11:22.760 being human, right? So the question is, were these the 0:11:22.760 --> 0:11:25.490 right forums to talk about such things? Was it like 0:11:25.520 --> 0:11:29.540 egregious or was it like partial? And I didn't see 0:11:29.540 --> 0:11:32.449 the messages. I don't know the forum they were doing 0:11:32.450 --> 0:11:35.780 this in. I actually did get a reach out from 0:11:35.780 --> 0:11:38.690 someone in the IC community, actually, kind of like on 0:11:38.690 --> 0:11:42.620 the inside around here around the topic, who actually did 0:11:42.650 --> 0:11:46.729 see all this stuff. And they said it was pretty 0:11:46.760 --> 0:11:51.320 egregious and it was pretty bad and I don't know. 0:11:51.350 --> 0:11:53.600 So first of all, they could be lying. Second of all, 0:11:53.600 --> 0:11:56.360 I don't think they were, but they could be lying. 0:11:56.390 --> 0:11:59.150 It's also a single data point. It's a single opinion. 0:11:59.960 --> 0:12:02.449 The point is, there's kind of two obvious ways to 0:12:02.480 --> 0:12:06.110 go here. Like, it was really bad, and they deserve 0:12:06.110 --> 0:12:10.219 to be punished or whatever. But I say there's two 0:12:10.220 --> 0:12:12.020 ways of looking at it. First of all, there's a 0:12:12.020 --> 0:12:14.300 bunch of trans people ignoring their work and spending their 0:12:14.300 --> 0:12:19.160 time talking about personal trans issues in an inappropriate forum 0:12:19.160 --> 0:12:22.339 in an inappropriate way when they should have been working. 0:12:22.850 --> 0:12:24.980 So they got fired. That's one way to think about it. 0:12:24.980 --> 0:12:27.980 Another way to think about it is Tulsi Gabbard is 0:12:27.980 --> 0:12:31.760 part of an extremely anti-trans administration that is looking for 0:12:31.760 --> 0:12:34.910 any excuse to fire trans people, even if it harms 0:12:34.910 --> 0:12:37.910 our ability to do intelligence work. And this is a 0:12:37.910 --> 0:12:40.610 cover story for doing so. Again, I'm not close to 0:12:40.640 --> 0:12:43.850 the sources, so I can't operate with any certainty. But giving, 0:12:43.880 --> 0:12:47.300 given what we know the administration is actually doing against 0:12:47.300 --> 0:12:51.329 trans people and how like aggressively they're going after this issue. 0:12:51.390 --> 0:12:53.790 I think it's more likely to be number two for me. 0:12:53.790 --> 0:12:58.020 That's just logical. TSMC is planning to invest $100 billion 0:12:58.020 --> 0:13:00.780 in US chip plants over the next four years, according 0:13:00.809 --> 0:13:05.160 to President Trump's announcement yesterday, which was a few days 0:13:05.160 --> 0:13:08.670 ago now. And I think this is great. Get all 0:13:08.670 --> 0:13:12.570 these companies here, Apple to spin them up in Arizona. 0:13:12.600 --> 0:13:15.000 Like we got plenty of desert. We got plenty of 0:13:15.000 --> 0:13:19.080 wide open spaces. Let's build some giant solar farms. Let's 0:13:19.080 --> 0:13:22.680 get chip production here. Let's get Apple production here. Let's 0:13:22.679 --> 0:13:25.680 get everything over here. Because the world is crazy. All right. 0:13:25.710 --> 0:13:29.610 I anthropic closed a $3.5 billion funding round that values 0:13:29.610 --> 0:13:35.280 the company at 61.5 billion. Revenue has grown 1,000% year 0:13:35.280 --> 0:13:39.809 over year. Really? Feels like they're quietly doing what OpenAI 0:13:39.809 --> 0:13:42.840 is loudly failing at. And I think this should be 0:13:42.840 --> 0:13:46.109 really encouraging for companies that enter spaces that seem like 0:13:46.110 --> 0:13:49.050 they're already won. Like you wouldn't want to go up 0:13:49.050 --> 0:13:54.780 against OpenAI in, say, early 2023. They just owned the 0:13:54.780 --> 0:13:59.190 entire AI world and there was nobody around to compete. 0:13:59.280 --> 0:14:03.989 And here we are beginning of 25, and we've got 0:14:03.990 --> 0:14:07.470 a few people competing and we've got open models competing. 0:14:07.470 --> 0:14:12.000 It's it's really encouraging, actually, as you know, if you're 0:14:12.000 --> 0:14:15.960 trying to get people excited about being creative and building, 0:14:16.230 --> 0:14:20.100 it's it's great to see somebody that was untouchable two 0:14:20.100 --> 0:14:25.440 years ago be very touchable now. OpenAI released GPT 4.5. 0:14:25.440 --> 0:14:28.890 Most people are not happy with it. It a lot 0:14:28.890 --> 0:14:31.230 of people are saying it doesn't feel smarter at all. 0:14:31.230 --> 0:14:33.989 And to me it felt like like a push, like 0:14:33.990 --> 0:14:38.130 PR release because sonnet 3.7 came out. Other models have 0:14:38.130 --> 0:14:42.210 come out recently and yeah, it just it didn't go well. 0:14:42.240 --> 0:14:44.400 They should have paused on that and waited for a 0:14:44.400 --> 0:14:48.810 bigger release that was more more baked, more proper marketing 0:14:48.810 --> 0:14:52.229 around it and everything. Chinese government is telling its AI 0:14:52.230 --> 0:14:55.020 experts to avoid US travel because they're worried they might 0:14:55.050 --> 0:15:01.380 leak Chinese secrets. Yeah. Leaking AI secrets. China's worried about it. Cool. 0:15:01.590 --> 0:15:06.840 Roger Penrose explains why Godel's theorem mathematically proves that artificial 0:15:06.840 --> 0:15:12.450 intelligence can't truly replicate human consciousness or understanding. I disagree 0:15:12.450 --> 0:15:16.590 with this, obviously, but it's Roger Penrose. I think he's 0:15:16.590 --> 0:15:19.410 a great thinker, or at least has been a great 0:15:19.410 --> 0:15:22.890 thinker on a lot of different topics. I know that 0:15:22.890 --> 0:15:26.160 there are a few areas, not counting AI, where I 0:15:26.190 --> 0:15:29.400 disagree with him, but doesn't matter. He is a top 0:15:29.400 --> 0:15:33.990 tier thinker and he disagrees with my position. Therefore I 0:15:34.020 --> 0:15:37.860 am putting it in the newsletter. Marc Benioff says Salesforce 0:15:37.860 --> 0:15:42.510 won't hire engineers in 2025 because their AI agents are 0:15:42.510 --> 0:15:46.650 doing the work so effectively. That sounds awesome and I 0:15:46.680 --> 0:15:50.670 kind of believe him. However, this is also direct marketing 0:15:50.670 --> 0:15:53.700 for Agent Force, which is their product. So hard to 0:15:53.730 --> 0:15:56.370 tell if this is marketing or real. New study shows 0:15:56.370 --> 0:16:00.810 that large language models are just echoing logical patterns without 0:16:00.840 --> 0:16:06.120 real understanding, which explains why they struggle with complex reasoning. Again, 0:16:06.360 --> 0:16:11.040 I want to see the best possible arguments against my position. Technology. 0:16:11.070 --> 0:16:16.440 Waymo now handles over 200,000 paid robotaxi rides weekly across 0:16:16.440 --> 0:16:22.440 three cities 20 times growth 20 x growth. That's how 0:16:22.440 --> 0:16:24.450 you're supposed to say that 20 x growth in just 0:16:24.450 --> 0:16:30.060 two years. BYD and DJI have created a $2,200 vehicle 0:16:30.060 --> 0:16:36.750 mounted drone launch platform that lets your BYD vehicle deploy 0:16:36.750 --> 0:16:41.160 and retrieve drones while driving up to 15mph. This is 0:16:41.160 --> 0:16:42.930 the kind of cool stuff that I'm talking about that 0:16:42.960 --> 0:16:45.600 BYD is coming out with. They also had a video 0:16:45.600 --> 0:16:49.530 recently of their electric car doing a turbo boost, like 0:16:49.530 --> 0:16:53.460 over a pothole or something. Insane stuff. Like they're doing 0:16:53.460 --> 0:16:58.590 some pretty innovative stuff. I'm worried about us carmakers competing 0:16:58.590 --> 0:17:01.410 against them, I really am. It's like, this is why 0:17:01.410 --> 0:17:04.650 I'm kind of like, I like Tesla as a foil 0:17:04.650 --> 0:17:10.500 against them, right? I'm obviously very unhappy with Elon right now. 0:17:10.710 --> 0:17:13.830 So that's that's got me a bit torn. But I 0:17:13.830 --> 0:17:17.369 do not want American car companies to fall to BYD 0:17:17.730 --> 0:17:22.169 because their cars are way cheaper, way cooler, and you know, 0:17:22.200 --> 0:17:24.390 no one else can keep up with them. It seems 0:17:24.390 --> 0:17:27.480 like Tesla's got the only chance. All right, humans, all right. 0:17:27.480 --> 0:17:31.409 The housing theory of everything argues that our catastrophically restrictive 0:17:31.410 --> 0:17:36.119 housing policies create cascading problems across society, from inequality to 0:17:36.150 --> 0:17:43.620 climate change. Many Doraiswamy Doraiswamy talks about how solopreneurs are 0:17:43.619 --> 0:17:48.360 becoming real competition to traditional companies thanks to AI coding, 0:17:48.390 --> 0:17:53.220 top MBA programs, seeing way fewer grads landing jobs quickly. 0:17:53.220 --> 0:17:59.430 With Harvard's unemployment rate jumping from 4 to 15% since 2021. 0:17:59.430 --> 0:18:03.120 Think about what a Harvard MBA with potentially not too 0:18:03.119 --> 0:18:06.540 much experience in the real world of business is able 0:18:06.540 --> 0:18:11.400 to do in a world full of very, very smart AI. 0:18:11.790 --> 0:18:14.940 What exactly are we getting from this Harvard MBA? I 0:18:14.940 --> 0:18:18.540 think so many things. This is kind of a meta 0:18:18.540 --> 0:18:25.590 analysis here. So many things that are extremely expensive and elitist. 0:18:25.590 --> 0:18:29.970 And they are those things because they are supply constrained. 0:18:29.970 --> 0:18:33.030 You can't get into Harvard. Therefore, Harvard is worth a lot. 0:18:33.060 --> 0:18:36.420 A degree from there is worth a lot, right? You 0:18:36.450 --> 0:18:40.710 it's hard to raise $200 million from a VC. Therefore, 0:18:40.710 --> 0:18:43.950 any company who makes a product that's backed by a 0:18:43.980 --> 0:18:48.210 VC and has raised $200 million. The product must be good. 0:18:48.240 --> 0:18:52.800 This is dying. This concept is dying. That's why things 0:18:52.800 --> 0:18:57.900 like Harvard are going to massively struggle, because the value 0:18:57.900 --> 0:19:01.980 of what they're actually producing is not going to be 0:19:01.980 --> 0:19:04.649 as good as if you watched a whole lot of 0:19:04.650 --> 0:19:07.860 YouTube and read a whole lot of books and did 0:19:07.859 --> 0:19:10.770 a whole lot of writing, right, and moved ideas through 0:19:10.800 --> 0:19:14.369 your mind very quickly, and actually worked with companies and 0:19:14.369 --> 0:19:17.820 had experience on the ground. The difference between that education 0:19:17.820 --> 0:19:21.660 and a Harvard education is about to be pretty vast, 0:19:21.660 --> 0:19:25.800 benefiting the YouTube side, not the Harvard side. Yet the 0:19:25.800 --> 0:19:27.899 YouTube one is available to you if you want to 0:19:27.900 --> 0:19:32.280 study right. This dynamic is going to change startups. It's 0:19:32.280 --> 0:19:36.660 going to change education. It's basically changing everything. It's like 0:19:36.690 --> 0:19:39.900 the it's not just AI, right? This is also a 0:19:39.900 --> 0:19:45.090 content explosion. This is also a YouTube trend vibe, where 0:19:45.090 --> 0:19:48.030 all the best content is coming out into blogs, coming 0:19:48.030 --> 0:19:52.110 out into YouTube. By the way, YouTube is blogging, right? 0:19:52.410 --> 0:19:54.690 It used to be that there were very few bloggers. 0:19:54.720 --> 0:19:58.770 Now there's very few YouTubers. I mean, a tiny percentage 0:19:58.770 --> 0:20:02.220 of 1% of people in the United States are actually 0:20:02.220 --> 0:20:05.550 putting out content on YouTube, just like it was with blogging. 0:20:05.550 --> 0:20:09.870 But that's where the content is, okay, both in blogging 0:20:09.869 --> 0:20:14.190 and newsletters, but also YouTube. This is the front edge 0:20:14.190 --> 0:20:16.920 of things, right? This is the front edge of things. 0:20:16.920 --> 0:20:20.190 This is where the content is. So just something to 0:20:20.190 --> 0:20:25.330 keep in mind. Researchers mapped porn titles from 2008 to 0:20:25.330 --> 0:20:29.850 2023 and showed a disturbing migration in themes from Hot 0:20:29.880 --> 0:20:36.000 Blonde gets you know what to increasingly incestuous and violent 0:20:36.000 --> 0:20:40.020 concepts like I can't resist my stepsister. I find this 0:20:40.020 --> 0:20:43.980 really disturbing because it's like, I would love to get 0:20:44.010 --> 0:20:46.140 AI to look at this. Actually, I should go find 0:20:46.140 --> 0:20:49.919 this data set. This link here is actually the GitHub 0:20:49.920 --> 0:20:53.370 with the data in there and the data analysis. But 0:20:53.369 --> 0:20:57.180 I imagine you could take all those titles 2008 to 23. 0:20:57.180 --> 0:21:03.209 So what is this? This is like 1013 plus 215 0:21:03.210 --> 0:21:08.160 years of title data, 15 years of title data that 0:21:08.160 --> 0:21:11.639 you could put into, like whatever Google Studio. It would 0:21:11.640 --> 0:21:13.890 probably be pretty hard to actually do this on a 0:21:13.890 --> 0:21:17.280 on a pinnacle model, because it's going to be like, uh, 0:21:17.280 --> 0:21:21.390 what is this? These are all nasty words. Um, but 0:21:21.390 --> 0:21:23.639 maybe if you told it that you were doing research, 0:21:23.670 --> 0:21:28.980 maybe that would work, uh, like a prompt injection bypass technique. 0:21:28.980 --> 0:21:31.470 But anyway, the point is, you can put this into, like, 0:21:31.500 --> 0:21:36.869 Google Studio Flash 2.0 something with a large context, maybe even, like, 0:21:36.900 --> 0:21:42.420 you know, um, oh three mini oh one Pro. Uh, 0:21:42.450 --> 0:21:46.050 sonnet 37, one of the smarter ones. And just be like, 0:21:46.200 --> 0:21:48.750 I have a question. What the hell is happening to 0:21:48.780 --> 0:21:55.740 my society? Seeing these, uh, titles migrate from 2008 to 2023, 0:21:55.770 --> 0:21:59.700 what is going on? Uh, I'd be really excited to, like, 0:21:59.730 --> 0:22:03.780 see what it actually gives as an answer to that. Right. Well, 0:22:03.780 --> 0:22:08.070 I say excited. Uh, depressed. Um, yeah, I don't know. 0:22:08.070 --> 0:22:13.380 It's not quite depressed. It's more like worried. Concerned. Yeah. Anyway, 0:22:13.410 --> 0:22:17.310 number of young people not in education, employment or training. 0:22:17.310 --> 0:22:20.730 Neet has hit an 11 year high. I didn't use 0:22:20.730 --> 0:22:26.730 an Oxford comma. I'm canceling everything and getting off the internet. 0:22:26.970 --> 0:22:30.990 This is highly, highly scary. Yeah. I wonder if I 0:22:31.020 --> 0:22:35.820 copied something here from a sentence. Because this is a 0:22:35.820 --> 0:22:40.379 British story. Yeah. Did I copy and paste this Neet part? 0:22:40.380 --> 0:22:42.750 I don't know why that doesn't have an Oxford comma. 0:22:42.750 --> 0:22:46.860 It seriously disturbs me. All right. Solarpunk is a subgenre 0:22:46.859 --> 0:22:50.130 of sci fi that imagines a sustainable future where humans 0:22:50.130 --> 0:22:54.359 and nature thrive together using renewable technology. I've been a 0:22:54.359 --> 0:22:58.350 fan ever since the Chobani commercial by one of my 0:22:58.350 --> 0:23:04.020 favorite commercials ever. It is a yogurt commercial about solarpunk. 0:23:04.050 --> 0:23:07.080 It is fantastic. Go to the newsletter and click on 0:23:07.080 --> 0:23:11.490 this link. It is the best. Um, although talking to 0:23:11.520 --> 0:23:14.670 my friend who I'm hoping to have on the podcast soon, 0:23:14.670 --> 0:23:18.240 he's like, well, you know, Nazis love the solarpunk stuff. 0:23:18.240 --> 0:23:20.879 I'm like, why is it every time I tell you 0:23:20.880 --> 0:23:24.840 something's cool, you're like, yeah, there's a subgroup of like, 0:23:24.840 --> 0:23:28.230 crazy Catholics who are like super into this and they're 0:23:28.230 --> 0:23:34.830 like all very trad trad like, um, oriented, and they're 0:23:34.830 --> 0:23:37.410 trying to destroy technology or whatever. And I'm just like, 0:23:37.440 --> 0:23:39.990 oh my God. Every time I talk to it, every 0:23:40.020 --> 0:23:42.490 time I talk to him, I'm like, what is going on? 0:23:43.210 --> 0:23:45.609 But that should be a cool podcast if that happens 0:23:45.730 --> 0:23:47.950 within the next couple of weeks. We're going to talk 0:23:47.950 --> 0:23:52.300 about all the different sub political movements going on in 0:23:52.300 --> 0:23:55.389 the Bay area where we live, but also in general 0:23:55.810 --> 0:23:58.840 post liberalism ideas like that. It's going to be an 0:23:58.840 --> 0:24:02.350 insane episode. And Ellen might go on Jon Stewart's show 0:24:02.350 --> 0:24:07.480 and discuss Doge. That would be a cool debate slash discussion, 0:24:07.480 --> 0:24:11.109 hopefully a discussion. Hopefully it's good. Ellen, who shows up. 0:24:15.520 --> 0:24:17.980 All right. This is the end of the standard edition 0:24:17.980 --> 0:24:20.770 of the podcast, which includes just the news items for 0:24:20.770 --> 0:24:23.140 the week to get the rest of the episode, which 0:24:23.170 --> 0:24:26.500 includes my analysis, the discovery section that has all of 0:24:26.500 --> 0:24:30.100 the coolest tools and articles. I found this week, the 0:24:30.100 --> 0:24:32.890 recommendation of the week and the aphorism of the week. 0:24:32.890 --> 0:24:37.390 Please consider becoming a member. As a member, you'll get 0:24:37.390 --> 0:24:41.010 lots of different things from access to our extraordinary community 0:24:41.010 --> 0:24:44.790 of over a thousand brilliant and kind people in industries 0:24:44.790 --> 0:24:50.100 like cybersecurity, AI, technology and the humanities. You also get 0:24:50.130 --> 0:24:54.330 access to the UL Book Club, dedicated member content and events, 0:24:54.330 --> 0:24:58.440 and lots, lots more. Plus, you'll get a dedicated podcast 0:24:58.440 --> 0:25:00.750 feed you can put in your client that gets you 0:25:00.750 --> 0:25:04.530 the full member edition of this podcast. To become a 0:25:04.530 --> 0:25:07.200 member and get all of that, just head over to 0:25:07.230 --> 0:25:14.460 Daniel maestro.com/upgrade. That's Daniel miessler.com/upgrade. We'll see you next time. 0:25:15.900 --> 0:25:19.680 Unsupervised learning is produced on Hindenburg Pro using an SM 0:25:19.680 --> 0:25:23.280 seven B microphone. A video version of the podcast is 0:25:23.280 --> 0:25:27.000 available on the Unsupervised Learning YouTube channel, and the text 0:25:27.030 --> 0:25:30.300 version with full links and notes is available at Daniel 0:25:30.300 --> 0:25:34.260 Mysa.com slash newsletter. We'll see you next time.