1 00:00:01,129 --> 00:00:04,460 S1: Welcome to Unsupervised Learning, a security, AI and meaning focused 2 00:00:04,460 --> 00:00:07,310 S1: podcast that looks at how best to thrive as humans 3 00:00:07,310 --> 00:00:11,540 S1: in a post AI world. It combines original ideas, analysis, 4 00:00:11,570 --> 00:00:14,780 S1: and mental models to bring not just the news, but 5 00:00:14,780 --> 00:00:22,310 S1: why it matters and how to respond. All right, welcome 6 00:00:22,310 --> 00:00:27,080 S1: to unsupervised Learning. This is Daniel Miessler episode 448. Let's 7 00:00:27,080 --> 00:00:30,890 S1: do this. Okay. I want to ask everyone to resubscribe 8 00:00:30,890 --> 00:00:34,129 S1: to the podcast. I don't know all the different channels 9 00:00:34,130 --> 00:00:36,980 S1: that are listening to this. This could be on YouTube 10 00:00:36,979 --> 00:00:40,129 S1: for example. There is a podcast feed which you can 11 00:00:40,130 --> 00:00:42,860 S1: get on Apple or Spotify or whatever. So I would 12 00:00:42,860 --> 00:00:44,870 S1: just say go sign up for that because the URL 13 00:00:44,870 --> 00:00:47,060 S1: has changed and I'm putting out a lot more content 14 00:00:47,060 --> 00:00:50,180 S1: and putting out a lot more clips of different, shorter 15 00:00:50,180 --> 00:00:52,879 S1: pieces in addition to the weekly episode. So I would 16 00:00:52,880 --> 00:00:54,710 S1: say go check that out. And if you're listening to 17 00:00:54,740 --> 00:00:59,300 S1: the podcast, then, uh, apologies, because obviously you're subscribed, otherwise 18 00:00:59,300 --> 00:01:02,230 S1: you wouldn't be listening. Okay, my new favorite fabric pattern 19 00:01:02,230 --> 00:01:05,800 S1: is one I just made up called Extract Primary Problem. 20 00:01:05,800 --> 00:01:08,890 S1: And I'm so excited about this thing. So it takes 21 00:01:08,890 --> 00:01:12,370 S1: any text input or any body of work. So you 22 00:01:12,370 --> 00:01:16,480 S1: could basically say like Noam Chomsky, or you could literally 23 00:01:16,510 --> 00:01:21,040 S1: like echo the words Noam Chomsky or like the Unabomber 24 00:01:21,040 --> 00:01:25,330 S1: or whoever. You can send basically any person's body of 25 00:01:25,330 --> 00:01:28,900 S1: work or like Russian literature or whatever. You send anything 26 00:01:28,900 --> 00:01:31,390 S1: in there and it will turn it into a single 27 00:01:31,390 --> 00:01:36,580 S1: sentence that summarizes what that work believes the biggest problem 28 00:01:36,580 --> 00:01:38,830 S1: in the world to be. And the reason I'm doing 29 00:01:38,830 --> 00:01:43,000 S1: this is because I'm trying to understand people's work, or 30 00:01:43,000 --> 00:01:46,570 S1: an essay or something based on a concise description of 31 00:01:46,569 --> 00:01:49,000 S1: what they think the problem is. I think this is 32 00:01:49,000 --> 00:01:52,060 S1: a very powerful way to see the world, is to 33 00:01:52,090 --> 00:01:55,660 S1: understand what do they think the biggest issue is that 34 00:01:55,660 --> 00:01:57,850 S1: we need to solve, because that's where you start. And 35 00:01:57,850 --> 00:02:01,500 S1: then you look at, okay, are the solutions that they're providing? 36 00:02:01,500 --> 00:02:05,460 S1: Are they actually good strategies for addressing that? But most importantly, 37 00:02:05,460 --> 00:02:07,710 S1: what do they think the actual problem is? Because if 38 00:02:07,710 --> 00:02:10,050 S1: they think the actual problem is like something you don't 39 00:02:10,050 --> 00:02:14,639 S1: care about, I mean, why are we listening to their work? 40 00:02:14,669 --> 00:02:17,670 S1: It doesn't mean there isn't like some other way to 41 00:02:17,700 --> 00:02:20,669 S1: get value from their work. I could think of examples 42 00:02:20,669 --> 00:02:24,329 S1: where there is, but I would rather listen to Viktor 43 00:02:24,330 --> 00:02:27,960 S1: Frankl's work, who believes, you know, that there's a lack 44 00:02:27,960 --> 00:02:31,109 S1: of meaning in the world, for example, which is definitely 45 00:02:31,110 --> 00:02:35,490 S1: my view. Uh, I invented, uh, I invented basically the 46 00:02:35,490 --> 00:02:38,970 S1: same thing that Viktor Frankl did. Um, well, probably lots 47 00:02:38,970 --> 00:02:41,340 S1: of people have done it before Frankl as well, but 48 00:02:41,340 --> 00:02:44,520 S1: I was basically going down and am still going down 49 00:02:44,520 --> 00:02:47,970 S1: this path. Then, like a year ago, I read Viktor 50 00:02:47,970 --> 00:02:52,260 S1: Frankl's work, and it is I mean, it's 100 years 51 00:02:52,260 --> 00:02:56,370 S1: before I'm doing this work, and it basically found that anyway, 52 00:02:56,389 --> 00:02:59,809 S1: It doesn't matter. That's a diversion. He nailed it. And 53 00:02:59,810 --> 00:03:03,709 S1: his problem statement is essentially the same as my problem statement. 54 00:03:03,710 --> 00:03:07,460 S1: So it raises the question of like, okay, for a 55 00:03:07,460 --> 00:03:11,330 S1: given person, for a given person who's producing value and 56 00:03:11,330 --> 00:03:13,820 S1: work in the world, what do they believe the problem is? 57 00:03:13,820 --> 00:03:17,420 S1: So that's what this particular pattern does. The other one 58 00:03:17,419 --> 00:03:21,589 S1: I created recently is a create story explanation, which explains 59 00:03:21,620 --> 00:03:25,669 S1: a really difficult piece of content in a flowing story style. 60 00:03:25,669 --> 00:03:29,660 S1: So it basically is like, okay, so they believe this, 61 00:03:29,690 --> 00:03:33,740 S1: which means this and a few facets of what they 62 00:03:33,740 --> 00:03:39,110 S1: believe is this here and also this here, which means 63 00:03:39,110 --> 00:03:41,870 S1: this part here. And the reason this is important is 64 00:03:41,870 --> 00:03:45,830 S1: because of this. So it turns it into a story based, 65 00:03:45,830 --> 00:03:50,270 S1: conversation based explanation of the topic as opposed to like 66 00:03:50,300 --> 00:03:53,840 S1: extract wisdom, which just like, you know, lists it out 67 00:03:53,840 --> 00:03:56,260 S1: in a very clear and concise way, but it's still 68 00:03:56,260 --> 00:04:00,280 S1: kind of sciency or scientific like, oriented as opposed to 69 00:04:00,310 --> 00:04:03,760 S1: like story and conversation oriented. So I really like this 70 00:04:03,760 --> 00:04:07,000 S1: one as well. Highly recommend everyone check out the. We've 71 00:04:07,030 --> 00:04:09,460 S1: been Lied To About Work essay that I put out 72 00:04:09,460 --> 00:04:12,790 S1: last week, getting a lot of positive feedback around that. 73 00:04:12,790 --> 00:04:17,200 S1: So appreciate that. Security. Researchers have discovered a SQL injection 74 00:04:17,200 --> 00:04:21,279 S1: vulnerability in a critical air transport security system. This is 75 00:04:21,279 --> 00:04:25,360 S1: actually Sam Curry, um, and another one of my buddies 76 00:04:25,390 --> 00:04:28,570 S1: who actually put this out. Really cool. I mean, the 77 00:04:28,570 --> 00:04:32,529 S1: vuln is, uh. Yeah, remarkably. I don't know how that 78 00:04:32,529 --> 00:04:36,040 S1: vuln still exists, but they are basically able to use 79 00:04:36,040 --> 00:04:39,700 S1: SQL injection to add themselves to a list of authorized 80 00:04:39,700 --> 00:04:42,760 S1: individuals to get cockpit access to a plane. The New 81 00:04:42,790 --> 00:04:46,299 S1: York Times has revealed a significant breach involving GitHub tokens, 82 00:04:46,300 --> 00:04:49,690 S1: and attackers are already using it to gain access to 83 00:04:49,720 --> 00:04:54,390 S1: various repositories. Researchers from OpenAI, Microsoft, MIT, and Harvard have 84 00:04:54,390 --> 00:04:59,760 S1: proposed personhood credentials to verify real humans online without revealing 85 00:04:59,760 --> 00:05:03,330 S1: their identities. This might also be needed for voting. This 86 00:05:03,330 --> 00:05:07,469 S1: might also be needed for handing out UBI. This might 87 00:05:07,470 --> 00:05:11,219 S1: also be needed for social media accounts. There's so many 88 00:05:11,220 --> 00:05:14,490 S1: reasons to have this. I think this is really cool tech. 89 00:05:14,520 --> 00:05:17,430 S1: The other thing that's interesting about this is Sam Altman 90 00:05:17,430 --> 00:05:23,250 S1: has worldcoin, which I think is crypto based on authenticating yourself. 91 00:05:23,250 --> 00:05:26,430 S1: So you could see worldcoin like folding into this as 92 00:05:26,430 --> 00:05:30,180 S1: well in a way that ties in with UBI. Um, yeah. 93 00:05:30,180 --> 00:05:34,260 S1: So it's zero knowledge proof, which is a crypto concept. Essentially, 94 00:05:34,260 --> 00:05:35,910 S1: you don't have to know who it is, but you 95 00:05:35,910 --> 00:05:38,549 S1: know that it is them. Uh, yeah. One thing I 96 00:05:38,550 --> 00:05:41,400 S1: worry about is the back end database probably get eventually 97 00:05:41,430 --> 00:05:43,260 S1: hacked because at some point you have to have a 98 00:05:43,260 --> 00:05:47,010 S1: database that you're actually validating against. Thanks to Nudge Security 99 00:05:47,040 --> 00:05:50,010 S1: for sponsoring the show this week, Record a future has 100 00:05:50,010 --> 00:05:53,540 S1: announced a new integration with Google's security operations enhancing both 101 00:05:53,570 --> 00:05:57,770 S1: Siem and Soar components, North Korean hackers are back to 102 00:05:57,800 --> 00:06:02,150 S1: targeting the NPM code repository with malicious packages. The US 103 00:06:02,180 --> 00:06:05,420 S1: Army Special Forces showed their hacking skills during the Swift 104 00:06:05,420 --> 00:06:09,919 S1: response 24 military exercises in Sweden. They used a remote 105 00:06:09,920 --> 00:06:13,670 S1: access device to hack into a building's Wi-Fi, disable security systems, 106 00:06:13,670 --> 00:06:18,320 S1: and then stormed the building, leaving leaving behind signal jamming 107 00:06:18,350 --> 00:06:21,589 S1: equipment and a laptop playing Never Gonna Give You Up, 108 00:06:21,589 --> 00:06:24,680 S1: so they rickrolled them on the way out. Chinese companies 109 00:06:24,680 --> 00:06:28,130 S1: are planning to launch over 15,000 low Earth orbit satellites 110 00:06:28,130 --> 00:06:32,930 S1: with Mercedes page from the Australian Strategic Policy Institute warning 111 00:06:32,930 --> 00:06:36,380 S1: that this can enable countries using Chinese broadband services to 112 00:06:36,410 --> 00:06:40,250 S1: control information flow, monitor user activity and even shut down 113 00:06:40,250 --> 00:06:43,640 S1: the internet. Internet during unrest. Yeah, I think that's the 114 00:06:43,640 --> 00:06:46,520 S1: whole purpose of it. Las Vegas police are pushing back 115 00:06:46,550 --> 00:06:50,539 S1: against a new NFL policy requiring officers working Raiders games 116 00:06:50,589 --> 00:06:55,180 S1: to provide photos for facial recognition. They don't want potential 117 00:06:55,180 --> 00:07:01,540 S1: misuse of that data. I mean, the biometric data is 118 00:07:01,540 --> 00:07:05,380 S1: a picture of them. I don't know. I don't know 119 00:07:05,380 --> 00:07:07,960 S1: why they're so worried about that. Maybe there's more to it. 120 00:07:07,990 --> 00:07:10,690 S1: I don't think so, though. I mean, you call anything 121 00:07:10,690 --> 00:07:13,000 S1: biometric data and people are like, oh, I don't want 122 00:07:13,000 --> 00:07:15,640 S1: that out there. It's like, yeah, that's just your face, man. 123 00:07:15,670 --> 00:07:18,160 S1: It's just your face. And it's not actually your face. 124 00:07:18,160 --> 00:07:20,620 S1: It's a picture of your face. Google has announced new 125 00:07:20,620 --> 00:07:25,600 S1: variants of its Gemini 1.5 model, including the smaller Gemini 126 00:07:25,630 --> 00:07:30,490 S1: 1.58 B and improved Gemini 1.5 flash and a stronger 127 00:07:30,520 --> 00:07:33,340 S1: 1.5 Pro. I have not messed with this yet. And 128 00:07:33,340 --> 00:07:35,710 S1: by the way, we are in the AI and tech section. 129 00:07:35,710 --> 00:07:38,890 S1: I've not messed with the new Gemini 1.5 Pro. I 130 00:07:38,920 --> 00:07:41,500 S1: hear it's really good, so I'm going to do that 131 00:07:41,500 --> 00:07:46,630 S1: within fabric soon. OpenAI keeps making everyone wait spelled w 132 00:07:46,630 --> 00:07:48,190 S1: e I g h t. 133 00:07:49,860 --> 00:07:50,010 S2: I. 134 00:07:50,010 --> 00:07:52,260 S1: Don't know why I think that's funny. It's very stupid 135 00:07:52,470 --> 00:07:55,980 S1: for their new model, half model, whatever is going to 136 00:07:55,980 --> 00:07:59,790 S1: come out soon, maybe called Orion and maybe using the 137 00:07:59,790 --> 00:08:03,630 S1: new strawberry technology. So we're all waiting for that. California's 138 00:08:03,660 --> 00:08:08,220 S1: AI regulation bill, SB 1047, has passed the state Senate 139 00:08:08,220 --> 00:08:11,430 S1: with 29 to 9 vote, and now is going to 140 00:08:11,460 --> 00:08:13,740 S1: Gavin Newsom. And this is basically a set of rules 141 00:08:13,740 --> 00:08:17,010 S1: saying companies making models of a certain size must have 142 00:08:17,010 --> 00:08:19,739 S1: certain safety measures in place, like you have to have 143 00:08:19,740 --> 00:08:23,580 S1: a kill switch and stuff like that seems rather logical. 144 00:08:23,730 --> 00:08:27,690 S1: Elon actually backed it, which was surprising. OpenAI is reportedly 145 00:08:27,690 --> 00:08:29,730 S1: in talks to raise a new funding round at a 146 00:08:29,730 --> 00:08:34,140 S1: valuation exceeding 100 billion, led by Thrive Capital, with Microsoft 147 00:08:34,140 --> 00:08:37,590 S1: also expected to participate. And Nvidia and Apple have also 148 00:08:37,590 --> 00:08:40,740 S1: been rumored to be involved in potentially wanting to invest. 149 00:08:40,770 --> 00:08:44,610 S1: OpenAI has enhanced its assistance API, making it easier for 150 00:08:44,610 --> 00:08:48,410 S1: developers to fine tune how AI assistants handle file searches. 151 00:08:48,410 --> 00:08:53,360 S1: So this is basically more controls and power around rag 152 00:08:53,360 --> 00:08:57,260 S1: companies like JPMorgan and Walmart are shifting from restricting generative 153 00:08:57,260 --> 00:09:02,179 S1: AI tools like ChatGPT to developing their own internal assistants. Basically, 154 00:09:02,179 --> 00:09:04,429 S1: they know they can't use the cloud versions, but they 155 00:09:04,429 --> 00:09:07,250 S1: know they also need to use AI. So there appear 156 00:09:07,250 --> 00:09:12,380 S1: to be deciding to build internally. Cisco is acquiring robust intelligence, 157 00:09:12,380 --> 00:09:16,220 S1: which secures AI applications. Not close to the details at 158 00:09:16,220 --> 00:09:19,670 S1: all here, but feels desperate from Cisco. Like we know 159 00:09:19,670 --> 00:09:23,600 S1: we're screwed because networking is not where it's at anymore. 160 00:09:23,600 --> 00:09:26,750 S1: And we need to do something in AI. So let's 161 00:09:26,750 --> 00:09:30,949 S1: buy a thing that secures AI applications. I don't have 162 00:09:30,950 --> 00:09:35,300 S1: high hopes. Today's new note pin is a wearable version 163 00:09:35,300 --> 00:09:38,420 S1: of its previous credit card form factor, which I have 164 00:09:38,420 --> 00:09:40,699 S1: and have used. I don't use it that much. I 165 00:09:40,700 --> 00:09:43,219 S1: don't like the form factor of having to pull it out. 166 00:09:43,220 --> 00:09:46,190 S1: It's actually the friction of using the app that's that's 167 00:09:46,210 --> 00:09:49,059 S1: hurting my use of it. So hopefully that's better with 168 00:09:49,059 --> 00:09:52,390 S1: the pin. Also, I don't like the credit card version 169 00:09:52,390 --> 00:09:53,980 S1: of it. Actually, I need to take it out of 170 00:09:53,980 --> 00:09:56,110 S1: my wallet because I don't really use it that much. 171 00:09:56,140 --> 00:09:58,600 S1: Amazon is set to release a new version of its 172 00:09:58,600 --> 00:10:01,660 S1: Alexa voice assistant in October, and it will be powered 173 00:10:01,660 --> 00:10:05,530 S1: by Anthropic's Claude AI models. I am getting the new one. 174 00:10:05,530 --> 00:10:07,420 S1: I have it on order though. The new note pin. 175 00:10:07,450 --> 00:10:09,640 S1: Sorry to go back to the previous story, but I'm 176 00:10:09,640 --> 00:10:11,860 S1: getting the one that goes around the neck, similar to 177 00:10:11,890 --> 00:10:14,440 S1: the limitless one, which I also have on order. I 178 00:10:14,440 --> 00:10:16,209 S1: hope it has a red button though, because I want 179 00:10:16,240 --> 00:10:18,819 S1: people to know, and if I don't know the person, 180 00:10:18,820 --> 00:10:21,040 S1: I'm going to ask and say. My thing is like 181 00:10:21,070 --> 00:10:24,130 S1: recording everything. Not specifically for this conversation, but it's kind 182 00:10:24,160 --> 00:10:26,140 S1: of recording everything just to let you know. So I 183 00:10:26,140 --> 00:10:28,330 S1: could turn it off if that bothers them. Amazon is 184 00:10:28,330 --> 00:10:32,230 S1: set to release a new version of Alexa Voice in October, 185 00:10:32,230 --> 00:10:35,470 S1: so very soon, and it will be powered by Claude. 186 00:10:35,470 --> 00:10:38,350 S1: That is going to be actual. I am very excited 187 00:10:38,350 --> 00:10:41,290 S1: about this. I can't wait, I don't actually have any 188 00:10:41,290 --> 00:10:43,780 S1: Alexa stuff, but I can't wait for the Apple version. 189 00:10:43,780 --> 00:10:48,059 S1: Nearly half of Nvidia's revenue comes from four mystery customers, 190 00:10:48,059 --> 00:10:52,080 S1: each spending over 3 billion on AI chips like the H200. 191 00:10:52,110 --> 00:10:57,000 S1: Heavy reliance on a few major clients raises concerns. Yeah, 192 00:10:57,000 --> 00:11:00,120 S1: and and they just got hit with an antitrust. Kind 193 00:11:00,120 --> 00:11:03,719 S1: of like a probe yesterday. And I think they crashed 194 00:11:03,750 --> 00:11:06,990 S1: like 10%. Like the stock went down like 10%. That 195 00:11:06,990 --> 00:11:11,160 S1: was painful. Anandtech is shutting down after 27 years. They 196 00:11:11,160 --> 00:11:14,610 S1: said they are passing the torch to Tom's Hardware. Kind 197 00:11:14,610 --> 00:11:17,370 S1: of sad. I kind of grew up on Anandtech. China's 198 00:11:17,400 --> 00:11:20,700 S1: Wukong game just sold 10 million copies in three days. 199 00:11:20,730 --> 00:11:24,720 S1: Huawei posted record profits in the first half of 2024, 200 00:11:24,750 --> 00:11:31,170 S1: 7.7 billion in net profit, despite ongoing US sanctions. That's insane. 201 00:11:31,200 --> 00:11:34,110 S1: Imagine what they would have done without the US headwinds. 202 00:11:34,140 --> 00:11:36,750 S1: A woman in California used an AirTag to track down 203 00:11:36,750 --> 00:11:40,920 S1: her stolen mail, and the suspects were found with mail 204 00:11:40,920 --> 00:11:42,959 S1: addressed to lots of other people. So they're now they're 205 00:11:42,970 --> 00:11:48,160 S1: facing multiple felonies for disrupting federal mail. Humans. Anarchy in 206 00:11:48,160 --> 00:11:50,829 S1: Sudan has led to the worst famine in the world 207 00:11:50,920 --> 00:11:53,830 S1: seen in 40 years. Nearly half of New York City 208 00:11:53,830 --> 00:11:57,130 S1: bus riders are skipping the fair. 48% of people are 209 00:11:57,130 --> 00:12:00,490 S1: not paying for the bus, presumably because they just like, 210 00:12:00,490 --> 00:12:02,350 S1: what are you going to do? What are you going 211 00:12:02,350 --> 00:12:03,760 S1: to do? You're not going to fight me, you're not 212 00:12:03,760 --> 00:12:05,620 S1: going to kick me off. There's not enough police. The 213 00:12:05,620 --> 00:12:08,710 S1: police don't care. So hopefully they're going to start clamping 214 00:12:08,710 --> 00:12:11,170 S1: down on that. Researchers at the University of Kentucky have 215 00:12:11,170 --> 00:12:14,530 S1: found that long Covid patients show brain changes similar to 216 00:12:14,559 --> 00:12:18,460 S1: those seen in Alzheimer's. The study, published in Alzheimer's and Dementia, 217 00:12:18,490 --> 00:12:24,220 S1: highlights shared issues like neuroinflammation and abnormal brain activity, suggesting 218 00:12:24,220 --> 00:12:29,410 S1: common underlying mechanisms. That is super interesting and exciting. We'd 219 00:12:29,410 --> 00:12:32,710 S1: love to address both. Scientists have discovered that the interaction 220 00:12:32,710 --> 00:12:38,440 S1: between two molecules, pkmzeta and Kibra, is crucial for maintaining 221 00:12:38,440 --> 00:12:41,650 S1: long term memories, so this appears to be a pretty 222 00:12:41,670 --> 00:12:45,630 S1: major breakthrough on how long term memories are formed. Ozempic, 223 00:12:45,660 --> 00:12:49,530 S1: a drug for type two diabetes and obesity, might also 224 00:12:49,530 --> 00:12:53,250 S1: slow aging. Are you kidding me? It's like they keep 225 00:12:53,250 --> 00:12:56,520 S1: finding new things that this does. Researchers found it could 226 00:12:56,520 --> 00:13:01,350 S1: treat illnesses like heart failure, arthritis, Alzheimer's and cancer, even 227 00:13:01,350 --> 00:13:05,880 S1: reduce deaths from cardiovascular issues and Covid 19. Oh yeah, 228 00:13:05,880 --> 00:13:08,939 S1: that's a new thing I just saw. Covid 19 death 229 00:13:08,940 --> 00:13:12,270 S1: reduction by 34%. That's not a story in this one, 230 00:13:12,270 --> 00:13:14,520 S1: but it's a story I just read. So it's in 231 00:13:14,520 --> 00:13:17,429 S1: the podcast. So I wonder how much of this. Oh yeah, 232 00:13:17,429 --> 00:13:20,490 S1: I put it right here. All this as news of 233 00:13:20,490 --> 00:13:22,710 S1: it addressing more and more issues feels like it's hitting 234 00:13:22,710 --> 00:13:26,189 S1: something extremely fundamental, like inflammation, which has long been pointed 235 00:13:26,220 --> 00:13:28,500 S1: to as a meta cause or like a meta symptom. 236 00:13:28,500 --> 00:13:31,260 S1: I think meta cause more than meta symptom in lots 237 00:13:31,260 --> 00:13:34,830 S1: of other diseases. I'm not saying it's actually inflammation, just 238 00:13:34,830 --> 00:13:38,160 S1: that it seems to be affecting something very fundamental. But 239 00:13:38,160 --> 00:13:41,450 S1: what if it's just that being thinner and having less 240 00:13:41,450 --> 00:13:45,319 S1: visceral fat, or something related to that is actually the thing, 241 00:13:45,350 --> 00:13:48,560 S1: or maybe being thinner. And the less visceral fat leads 242 00:13:48,559 --> 00:13:51,410 S1: to less inflammation, which the inflammation is causing all the 243 00:13:51,410 --> 00:13:54,589 S1: other things. So like maybe the Covid 19 and the 244 00:13:54,590 --> 00:13:58,189 S1: aging and the dementia and all this stuff is related 245 00:13:58,190 --> 00:14:03,020 S1: to one or both of being thin and healthy, maybe 246 00:14:03,020 --> 00:14:07,280 S1: physically active, maybe inflammation, I don't know, but I'm very curious. 247 00:14:07,280 --> 00:14:10,189 S1: I can't wait to see, like this mystery unfold. A 248 00:14:10,190 --> 00:14:14,809 S1: CIA deep cover operative known as Anthony Laguna spent years 249 00:14:14,809 --> 00:14:19,850 S1: infiltrating Islamist extremist groups, even reaching al Qaeda's broader network. 250 00:14:19,850 --> 00:14:24,230 S1: But he died in 2016, seemingly seemingly of like mental 251 00:14:24,230 --> 00:14:27,710 S1: health issues, which is calling attention on the CIA for like, 252 00:14:27,740 --> 00:14:29,359 S1: how do you how are you taking care of your 253 00:14:29,360 --> 00:14:31,940 S1: people when you put them in these traumatic situations? How 254 00:14:31,940 --> 00:14:34,190 S1: do you handle their mental health? And more people are 255 00:14:34,190 --> 00:14:37,040 S1: going no contact with their parents, driven by a mix 256 00:14:37,040 --> 00:14:40,870 S1: of personal growth and unresolved conflicts. I think the gulf 257 00:14:40,870 --> 00:14:44,440 S1: between Gen Z and what are Gen Z's parents? Are 258 00:14:44,440 --> 00:14:47,200 S1: those exes. I think those are exes. Maybe the difference 259 00:14:47,200 --> 00:14:50,110 S1: between Gen Z and Gen X is just so large, 260 00:14:50,110 --> 00:14:53,979 S1: like ideologically, that maybe that's why this is happening. It's 261 00:14:53,980 --> 00:14:57,490 S1: definitely a factor. Discovery. Whoosh is a command line tool 262 00:14:57,490 --> 00:15:00,010 S1: for transferring files and opening shells over a peer to 263 00:15:00,010 --> 00:15:04,480 S1: peer WireGuard connection. Super cool fire crawl crawl sites using 264 00:15:04,480 --> 00:15:09,940 S1: Claude or GPT and turn the output into LM ready markdown. History. 265 00:15:09,940 --> 00:15:13,570 S1: For feed, Jozek developed an open source tool that creates 266 00:15:13,600 --> 00:15:17,260 S1: a complete historical archive of full text posts from any 267 00:15:17,290 --> 00:15:21,700 S1: RSS or atom feed. I absolutely need to use this. Yes, 268 00:15:21,700 --> 00:15:24,730 S1: I need to use this like immediately, which is why 269 00:15:24,730 --> 00:15:26,800 S1: I put it in there. So the most dangerous email 270 00:15:26,800 --> 00:15:29,200 S1: I've ever sent. This is a great read. Who wants 271 00:15:29,200 --> 00:15:31,540 S1: to be hired? A Hacker News thread for people looking 272 00:15:31,540 --> 00:15:34,210 S1: for work. My buddy Clint Gibler did an epic post 273 00:15:34,210 --> 00:15:38,770 S1: summarizing every AI talk from Blackhat and Defcon 2024. Just 274 00:15:38,770 --> 00:15:41,620 S1: an amazing piece of work. It is so like so 275 00:15:41,620 --> 00:15:45,910 S1: deep and like involved. Yeah. Very comprehensive. Definitely check it out. 276 00:15:45,910 --> 00:15:49,660 S1: Using GPT four for web scraping. Three questions candidates can 277 00:15:49,660 --> 00:15:52,930 S1: ask to invert the power dynamic in technical interviews. The 278 00:15:52,930 --> 00:15:55,840 S1: Hatch Restore two is a smart alarm clock designed to 279 00:15:55,870 --> 00:15:59,470 S1: mimic sunrises and sunsets to help you wake up more naturally. 280 00:15:59,470 --> 00:16:01,420 S1: I am so close to getting one of these things, 281 00:16:01,420 --> 00:16:03,940 S1: but I'm stopped by a simple fact I get natural 282 00:16:03,940 --> 00:16:08,680 S1: light in my windows in my bedroom when the sun 283 00:16:08,680 --> 00:16:13,510 S1: comes up, so the sun provides like a sunrise like experience. 284 00:16:13,510 --> 00:16:16,240 S1: But I wear an eye mask when I sleep to 285 00:16:16,270 --> 00:16:18,520 S1: block out the light. So I feel like this is 286 00:16:18,520 --> 00:16:21,640 S1: like the worst kind of overengineering when you have actual sun, 287 00:16:21,640 --> 00:16:23,860 S1: you buy a fake sun, but you can't see either 288 00:16:23,860 --> 00:16:29,650 S1: of them because you're wearing an eye mask. Uh that's silly. Okay, ideas. 289 00:16:29,680 --> 00:16:34,030 S1: Beware of commodified incuriosity. This is a really good piece. 290 00:16:34,030 --> 00:16:37,550 S1: So it's talking about the act of researching and thinking 291 00:16:37,550 --> 00:16:41,480 S1: being replaced by focus on efficiency and productivity. I think 292 00:16:41,480 --> 00:16:43,040 S1: it's a great way of looking at things and a 293 00:16:43,040 --> 00:16:45,620 S1: reason to be cautious with the overuse of something like 294 00:16:45,620 --> 00:16:48,770 S1: extract wisdom, which I talk about a lot. Basically, I 295 00:16:48,800 --> 00:16:52,970 S1: summarization basically a big part of learning something is struggling 296 00:16:52,970 --> 00:16:55,700 S1: with it, and that's why I tooling focused on learning 297 00:16:55,700 --> 00:16:58,040 S1: should be used, in my current opinion, to help you 298 00:16:58,040 --> 00:17:01,340 S1: find things that you read slowly and absorb and you 299 00:17:01,340 --> 00:17:03,980 S1: grapple with and think about critically. And then you could 300 00:17:03,980 --> 00:17:06,410 S1: use something like extract Wisdom to help you make sure 301 00:17:06,410 --> 00:17:09,109 S1: you don't miss things when you take notes, but don't 302 00:17:09,109 --> 00:17:12,920 S1: think that anything other than future learning implants or something 303 00:17:12,920 --> 00:17:16,220 S1: can substitute for the hard work of actual thinking and 304 00:17:16,220 --> 00:17:19,910 S1: processing and grappling with content. Depression as a hand on 305 00:17:19,910 --> 00:17:22,399 S1: a stove. This argument suggests that instead of trying to 306 00:17:22,430 --> 00:17:24,980 S1: eliminate depression, we should see it as a signal to 307 00:17:25,010 --> 00:17:29,450 S1: make life changes. Attention to enchantment. This piece argues that 308 00:17:29,450 --> 00:17:32,000 S1: being enchanted by the world comes from learning to pay 309 00:17:32,000 --> 00:17:34,659 S1: attention to it. I feel like learning to meditate, which 310 00:17:34,660 --> 00:17:38,140 S1: is really just paying attention in my Sam Harris based 311 00:17:38,140 --> 00:17:42,220 S1: school of meditation combined with music festivals. For me, I've 312 00:17:42,250 --> 00:17:46,000 S1: truly learned to appreciate small things in daily life. It's 313 00:17:46,000 --> 00:17:48,670 S1: made me a very happy person. I really feel like 314 00:17:48,670 --> 00:17:51,550 S1: it's a cheat to be able to extract this much 315 00:17:51,550 --> 00:17:54,280 S1: joy from, like, my neighbors, and seeing people go for 316 00:17:54,280 --> 00:17:57,040 S1: a walk with their little kid, or hearing distant like 317 00:17:57,070 --> 00:18:00,730 S1: children playing and like roughhousing and screaming or whatever. And 318 00:18:00,730 --> 00:18:03,940 S1: this also relates to framing, but the action or the 319 00:18:03,940 --> 00:18:07,810 S1: attention piece is really, really key here. Rarity and beauty. 320 00:18:07,840 --> 00:18:10,420 S1: I often wonder how much of beauty is just rarity. 321 00:18:10,450 --> 00:18:12,790 S1: There are lots of seagulls at this lake that I 322 00:18:12,820 --> 00:18:15,790 S1: visit often. The local lake here in my town. I 323 00:18:15,790 --> 00:18:19,330 S1: barely noticed them by default, but they're like big white 324 00:18:19,359 --> 00:18:22,720 S1: birds and I actively try to look at them sometimes 325 00:18:22,720 --> 00:18:24,730 S1: as if they are rare to try to trick my 326 00:18:24,730 --> 00:18:28,540 S1: mind into noticing their beauty. Ralph Waldo Emerson has a 327 00:18:28,570 --> 00:18:31,090 S1: quote if the stars should appear but one night every 328 00:18:31,119 --> 00:18:35,340 S1: thousand years, how man would marvel and stare. So if 329 00:18:35,340 --> 00:18:37,560 S1: the stars only came out every once in a while, 330 00:18:37,560 --> 00:18:43,290 S1: there would be like eclipses, organized like eclipse watching things. 331 00:18:43,290 --> 00:18:46,230 S1: They would be organized just to go and watch the stars. 332 00:18:46,230 --> 00:18:48,869 S1: And the opposite is true as well. If the eclipse 333 00:18:48,869 --> 00:18:51,149 S1: happened all the time, nobody would look at it. It 334 00:18:51,150 --> 00:18:53,250 S1: would be like the most boring thing ever. So it's 335 00:18:53,250 --> 00:18:55,919 S1: the fact that it's rare that makes it special. That's 336 00:18:55,920 --> 00:18:58,350 S1: really it. And I often think about how much beauty 337 00:18:58,380 --> 00:19:00,510 S1: we have in our lives that we ignore because it's 338 00:19:00,510 --> 00:19:03,810 S1: either too common or too omnipresent, or maybe those are 339 00:19:03,810 --> 00:19:06,360 S1: the same in this context. I feel like the Stoics 340 00:19:06,359 --> 00:19:08,910 S1: had it figured out when they taught the exercise of 341 00:19:08,910 --> 00:19:12,300 S1: imagining your life without certain things. I try to do this, 342 00:19:12,300 --> 00:19:15,419 S1: and it does help me appreciate them. Two bad choices 343 00:19:15,420 --> 00:19:17,790 S1: in November. This is a political one. I'm not going 344 00:19:17,820 --> 00:19:21,300 S1: to do it, honestly. It's just that I think both 345 00:19:21,300 --> 00:19:26,909 S1: candidates are both bad in different ways, and I'm very 346 00:19:26,910 --> 00:19:30,390 S1: afraid in both cases of either of them winning, but 347 00:19:30,390 --> 00:19:33,260 S1: for very different reasons, and I think both of them 348 00:19:33,260 --> 00:19:36,200 S1: could do some good as well. Recommendation of the week. 349 00:19:36,200 --> 00:19:38,990 S1: Here's a frame for you to try on. This goes 350 00:19:38,990 --> 00:19:41,869 S1: along with the previous one of the previous points. You 351 00:19:41,869 --> 00:19:44,689 S1: become what you pay attention to. It's election year in 352 00:19:44,690 --> 00:19:47,450 S1: a few places, including the US. The world is on fire. 353 00:19:47,480 --> 00:19:49,550 S1: Politics are a mess everywhere, and it seems like the 354 00:19:49,550 --> 00:19:52,850 S1: very fabric of Steven Pinker's last couple of books has 355 00:19:52,850 --> 00:19:56,420 S1: completely unraveled. But maybe we have an option other than 356 00:19:56,450 --> 00:19:59,899 S1: staring directly into the toilet. Maybe all the beauty in 357 00:19:59,900 --> 00:20:02,480 S1: the world is still there, and maybe we could focus 358 00:20:02,480 --> 00:20:05,389 S1: on that instead. Or at the very least, not on 359 00:20:05,390 --> 00:20:07,729 S1: the toilet. I'm not saying to be cowardly. If you're 360 00:20:07,730 --> 00:20:10,369 S1: one of the few people who can actually change lots 361 00:20:10,369 --> 00:20:12,590 S1: of minds and help the world in some sort of way, 362 00:20:12,619 --> 00:20:15,110 S1: maybe you should serve time in the toilet. That is 363 00:20:15,109 --> 00:20:18,020 S1: our current situation, but that's probably not the case. Most 364 00:20:18,020 --> 00:20:20,930 S1: of us won't be missed on those front lines, so 365 00:20:20,930 --> 00:20:23,270 S1: maybe instead we could use those few months to make 366 00:20:23,270 --> 00:20:25,580 S1: a list of the best poetry books, or start a 367 00:20:25,580 --> 00:20:28,609 S1: D&D campaign with your friends, or learn to play piano. 368 00:20:28,609 --> 00:20:31,810 S1: Maybe we could focus our attention on the great stuff 369 00:20:31,810 --> 00:20:35,080 S1: in the world that we always said we'd look at later. 370 00:20:35,109 --> 00:20:37,000 S1: Now is a pretty good time to do that. It's 371 00:20:37,000 --> 00:20:39,609 S1: a good time to fill our attention with that instead 372 00:20:39,609 --> 00:20:42,369 S1: of the ugliness in the world, so we can become 373 00:20:42,369 --> 00:20:45,610 S1: the goodness for someone else. And the aphorism of the week. 374 00:20:45,640 --> 00:20:48,369 S1: You become what you pay attention to. So be very 375 00:20:48,369 --> 00:20:51,160 S1: careful what you pay attention to. You become what you 376 00:20:51,160 --> 00:20:53,980 S1: pay attention to. So be very careful what you pay 377 00:20:53,980 --> 00:20:58,330 S1: attention to. Unsupervised learning is produced and edited by Daniel 378 00:20:58,359 --> 00:21:03,310 S1: Miessler on a Neumann U87 AI microphone using Hindenburg. Intro 379 00:21:03,310 --> 00:21:06,760 S1: and outro music is by zombie with a Y. And 380 00:21:06,760 --> 00:21:08,889 S1: to get the text and links from this episode, sign 381 00:21:08,890 --> 00:21:13,540 S1: up for the newsletter version of the show at Daniel miessler.com/newsletter. 382 00:21:14,560 --> 00:21:15,640 S1: We'll see you next time.