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All right, 18 00:01:11,500 --> 00:01:16,060 S1: welcome to unsupervised Learning. This is Daniel Miessler episode 448. 19 00:01:16,090 --> 00:01:19,540 S1: Let's do this. Okay. I want to ask everyone to 20 00:01:19,569 --> 00:01:23,200 S1: resubscribe to the podcast. I don't know all the different 21 00:01:23,200 --> 00:01:26,170 S1: channels that are listening to this. This could be on 22 00:01:26,170 --> 00:01:29,590 S1: YouTube for example. There is a podcast feed which you 23 00:01:29,590 --> 00:01:32,290 S1: can get on Apple or Spotify or whatever. So I 24 00:01:32,290 --> 00:01:34,090 S1: would just say go sign up for that because the 25 00:01:34,090 --> 00:01:36,220 S1: URL has changed and I'm putting out a lot more 26 00:01:36,220 --> 00:01:39,399 S1: content and putting out a lot more clips of different, 27 00:01:39,400 --> 00:01:42,370 S1: shorter pieces in addition to the weekly episode. So I 28 00:01:42,370 --> 00:01:44,200 S1: would say go check that out. And if you're listening 29 00:01:44,230 --> 00:01:48,550 S1: to the podcast, then, uh, apologies, because obviously you're subscribed, 30 00:01:48,580 --> 00:01:51,400 S1: otherwise you wouldn't be listening. Okay. My new favorite fabric 31 00:01:51,400 --> 00:01:55,420 S1: pattern is one I just made up called Extract Primary Problem. 32 00:01:55,420 --> 00:01:58,500 S1: And I'm so excited about this thing. So it takes 33 00:01:58,500 --> 00:02:01,980 S1: any text input or any body of work. So you 34 00:02:01,980 --> 00:02:06,090 S1: could basically say like Noam Chomsky or you could literally 35 00:02:06,120 --> 00:02:10,620 S1: like echo the words Noam Chomsky or like the Unabomber 36 00:02:10,650 --> 00:02:14,940 S1: or whoever. You can send basically any person's body of 37 00:02:14,940 --> 00:02:18,510 S1: work or like Russian literature or whatever. You send anything 38 00:02:18,510 --> 00:02:21,000 S1: in there, and it will turn it into a single 39 00:02:21,000 --> 00:02:26,160 S1: sentence that summarizes what that work believes the biggest problem 40 00:02:26,160 --> 00:02:28,410 S1: in the world to be. And the reason I'm doing 41 00:02:28,410 --> 00:02:32,609 S1: this is because I'm trying to understand people's work, or 42 00:02:32,610 --> 00:02:36,180 S1: an essay or something based on a concise description of 43 00:02:36,180 --> 00:02:38,610 S1: what they think the problem is. I think this is 44 00:02:38,610 --> 00:02:41,670 S1: a very powerful way to see the world, is to 45 00:02:41,700 --> 00:02:45,240 S1: understand what do they think the biggest issue is that 46 00:02:45,240 --> 00:02:47,460 S1: we need to solve, because that's where you start. And 47 00:02:47,460 --> 00:02:51,090 S1: then you look at, okay, are the solutions that they're providing, 48 00:02:51,090 --> 00:02:55,049 S1: are they actually good strategies for addressing that? But most importantly, 49 00:02:55,050 --> 00:02:57,320 S1: what do they think the actual problem is? Because if 50 00:02:57,320 --> 00:02:59,630 S1: they think the actual problem is like something you don't 51 00:02:59,630 --> 00:03:04,220 S1: care about, I mean, why are we listening to their work? 52 00:03:04,250 --> 00:03:07,250 S1: It doesn't mean there isn't like some other way to 53 00:03:07,280 --> 00:03:10,250 S1: get value from their work. I could think of examples 54 00:03:10,250 --> 00:03:13,940 S1: where there is, but I would rather listen to Viktor 55 00:03:13,940 --> 00:03:17,570 S1: Frankl's work, who believes, you know, that there's a lack 56 00:03:17,570 --> 00:03:20,690 S1: of meaning in the world, for example, which is definitely 57 00:03:20,690 --> 00:03:25,100 S1: my view. Uh, I invented, uh, I invented basically the 58 00:03:25,100 --> 00:03:28,580 S1: same thing that Viktor Frankl did. Um, well, probably lots 59 00:03:28,580 --> 00:03:30,920 S1: of people have done it before Frankl as well, but 60 00:03:30,919 --> 00:03:34,130 S1: I was basically going down and am still going down 61 00:03:34,130 --> 00:03:37,580 S1: this path. Then, like a year ago, I read Viktor 62 00:03:37,580 --> 00:03:41,870 S1: Frankl's work, and it is I mean, it's 100 years 63 00:03:41,870 --> 00:03:45,980 S1: before I'm doing this work, and it basically found that anyway, 64 00:03:46,010 --> 00:03:49,400 S1: it doesn't matter. That's a diversion. He nailed it. And 65 00:03:49,400 --> 00:03:53,300 S1: his problem statement is essentially the same as my problem statement. 66 00:03:53,300 --> 00:03:57,050 S1: So it raises the question of like, okay, for a 67 00:03:57,080 --> 00:04:00,950 S1: given person, for a given person who's producing value and 68 00:04:00,950 --> 00:04:03,440 S1: work in the world, what do they believe the problem is? 69 00:04:03,440 --> 00:04:07,040 S1: So that's what this particular pattern does. The other one 70 00:04:07,040 --> 00:04:11,240 S1: I created recently is a create story explanation, which explains 71 00:04:11,240 --> 00:04:15,290 S1: a really difficult piece of content in a flowing story style. 72 00:04:15,290 --> 00:04:19,280 S1: So it basically is like, okay, so they believe this, 73 00:04:19,310 --> 00:04:23,360 S1: which means this and a few facets of what they 74 00:04:23,360 --> 00:04:28,730 S1: believe is this here and also this here, which means 75 00:04:28,730 --> 00:04:31,489 S1: this part here. And the reason this is important is 76 00:04:31,490 --> 00:04:35,450 S1: because of this. So it turns it into a story based, 77 00:04:35,450 --> 00:04:39,890 S1: conversation based explanation of the topic as opposed to like 78 00:04:39,920 --> 00:04:43,700 S1: extract wisdom, which is like, you know, listed out in 79 00:04:43,700 --> 00:04:46,220 S1: a very clear and concise way, but it's still kind 80 00:04:46,220 --> 00:04:50,060 S1: of sciency or scientific like, oriented as opposed to like 81 00:04:50,089 --> 00:04:53,550 S1: story and conversation Oriented, so I really like this one 82 00:04:53,550 --> 00:04:56,789 S1: as well. Highly recommend everyone check out the. We've been 83 00:04:56,790 --> 00:04:59,700 S1: Lied To About Work essay that I put out last week. 84 00:04:59,700 --> 00:05:04,260 S1: Getting a lot of positive feedback around that. So appreciate that. Security. 85 00:05:04,290 --> 00:05:08,100 S1: Researchers have discovered a SQL injection vulnerability in a critical 86 00:05:08,100 --> 00:05:13,170 S1: air transport security system. This is actually Sam Curry, um, 87 00:05:13,170 --> 00:05:16,650 S1: and another one of my buddies who actually put this out. 88 00:05:16,680 --> 00:05:20,760 S1: Really cool. I mean, the vuln is, uh. Yeah, remarkably, 89 00:05:21,270 --> 00:05:24,120 S1: I don't know how that vuln still exists, but they 90 00:05:24,150 --> 00:05:27,900 S1: are basically able to use SQL injection to add themselves 91 00:05:27,900 --> 00:05:31,590 S1: to a list of authorized individuals to get cockpit access 92 00:05:31,589 --> 00:05:33,539 S1: to a plane. The New York Times has revealed a 93 00:05:33,540 --> 00:05:38,070 S1: significant breach involving GitHub tokens, and attackers are already using 94 00:05:38,070 --> 00:05:43,020 S1: it to gain access to various repositories. Researchers from OpenAI, Microsoft, MIT, 95 00:05:43,020 --> 00:05:48,060 S1: and Harvard have proposed personhood credentials to verify real humans 96 00:05:48,060 --> 00:05:51,849 S1: online without revealing their identities. This might also be needed 97 00:05:51,850 --> 00:05:56,290 S1: for voting. This might also be needed for handing out UBI. 98 00:05:56,440 --> 00:06:00,400 S1: This might also be needed for social media accounts. There's 99 00:06:00,400 --> 00:06:03,250 S1: so many reasons to have this. I think this is 100 00:06:03,250 --> 00:06:05,799 S1: really cool tech. The other thing that's interesting about this 101 00:06:05,800 --> 00:06:09,969 S1: is Sam Altman has a world coin, which I think 102 00:06:09,970 --> 00:06:14,020 S1: is crypto based on authenticating yourself. So you could see 103 00:06:14,050 --> 00:06:17,170 S1: world coin like folding into this as well in a 104 00:06:17,170 --> 00:06:20,229 S1: way that ties in with UBI. Um, yeah. So it's 105 00:06:20,230 --> 00:06:24,070 S1: zero knowledge proof, which is a crypto concept. Essentially, you 106 00:06:24,070 --> 00:06:25,720 S1: don't have to know who it is, but you know 107 00:06:25,720 --> 00:06:28,630 S1: that it is them. Yeah. One thing I worry about 108 00:06:28,630 --> 00:06:31,780 S1: is the back end database probably get eventually hacked, because 109 00:06:31,810 --> 00:06:33,729 S1: at some point you have to have a database that 110 00:06:33,730 --> 00:06:37,660 S1: you're actually validating against. Thanks to Nudge Security for sponsoring 111 00:06:37,660 --> 00:06:40,150 S1: the show this week, Record a future has announced a 112 00:06:40,150 --> 00:06:43,930 S1: new integration with Google's security operations, enhancing both Siem and 113 00:06:43,930 --> 00:06:48,140 S1: Soar components. North Korean hackers are back to targeting the 114 00:06:48,140 --> 00:06:52,400 S1: NPM code repository with malicious packages. The US Army Special 115 00:06:52,400 --> 00:06:56,029 S1: Forces showed their hacking skills during the Swift response 24 116 00:06:56,029 --> 00:07:00,230 S1: military exercises in Sweden. They used a remote access device 117 00:07:00,230 --> 00:07:03,440 S1: to hack into a building's Wi-Fi, disable security systems, and 118 00:07:03,440 --> 00:07:08,420 S1: then stormed the building, leaving leaving behind signal jamming equipment 119 00:07:08,420 --> 00:07:11,810 S1: and a laptop playing Never Gonna Give You Up, so 120 00:07:11,810 --> 00:07:14,420 S1: they rickrolled them on the way out. Chinese companies are 121 00:07:14,420 --> 00:07:18,080 S1: planning to launch over 15,000 low Earth orbit satellites with 122 00:07:18,080 --> 00:07:22,700 S1: Mercedes page from the Australian Strategic Policy Institute warning that 123 00:07:22,700 --> 00:07:26,450 S1: this can enable countries using Chinese broadband services to control 124 00:07:26,450 --> 00:07:30,410 S1: information flow, monitor user activity and even shut down the internet. 125 00:07:30,440 --> 00:07:33,680 S1: Internet during unrest. Yeah, I think that's the whole purpose 126 00:07:33,680 --> 00:07:36,590 S1: of it. Las Vegas police are pushing back against a 127 00:07:36,590 --> 00:07:40,790 S1: new NFL policy requiring officers working Raiders games to provide 128 00:07:40,790 --> 00:07:45,650 S1: photos for facial recognition. They don't want potential misuse of 129 00:07:45,680 --> 00:07:51,610 S1: that data. I mean, the biometric data is a picture 130 00:07:51,610 --> 00:07:55,330 S1: of them. I don't know. I don't know why they're 131 00:07:55,330 --> 00:07:57,760 S1: so worried about that. Maybe there's more to it. I 132 00:07:57,760 --> 00:08:00,970 S1: don't think so, though. I mean, you call anything biometric 133 00:08:00,970 --> 00:08:02,800 S1: data and people are like, oh, I don't want that 134 00:08:02,800 --> 00:08:05,260 S1: out there. It's like, yeah, that's just your face, man. 135 00:08:05,290 --> 00:08:07,750 S1: It's just your face. And it's not actually your face. 136 00:08:07,750 --> 00:08:10,240 S1: It's a picture of your face. Google has announced new 137 00:08:10,240 --> 00:08:15,190 S1: variants of its Gemini 1.5 model, including the smaller Gemini 138 00:08:15,220 --> 00:08:20,080 S1: 1.58 B and improved Gemini 1.5 flash and a stronger 139 00:08:20,110 --> 00:08:22,960 S1: 1.5 Pro. I have not messed with this yet. And 140 00:08:22,960 --> 00:08:25,330 S1: by the way, we are in the AI and tech section. 141 00:08:25,330 --> 00:08:28,480 S1: I've not messed with the new Gemini 1.5 Pro. I 142 00:08:28,510 --> 00:08:31,090 S1: hear it's really good, so I'm going to do that 143 00:08:31,090 --> 00:08:36,219 S1: within fabric soon. OpenAI keeps making everyone wait spelled w 144 00:08:36,220 --> 00:08:40,059 S1: e I g h t. I don't know why I 145 00:08:40,059 --> 00:08:43,390 S1: think that's funny. It's very stupid for their new model. 146 00:08:43,420 --> 00:08:46,950 S1: Half model, whatever is going to come out soon, maybe 147 00:08:46,950 --> 00:08:51,420 S1: called Orion and maybe using the new strawberry technology. So 148 00:08:51,420 --> 00:08:56,490 S1: we're all waiting for that. California's AI regulation bill, SB 1047, 149 00:08:56,490 --> 00:08:59,969 S1: has passed the state Senate with 29 to 9 vote, 150 00:08:59,970 --> 00:09:02,250 S1: and now is going to Gavin Newsom. And this is 151 00:09:02,250 --> 00:09:05,370 S1: basically a set of rules saying companies making models of 152 00:09:05,370 --> 00:09:08,490 S1: a certain size must have certain safety measures in place, 153 00:09:08,490 --> 00:09:10,559 S1: like you have to have a kill switch and stuff 154 00:09:10,559 --> 00:09:14,610 S1: like that. It seems rather logical. Elon actually backed it, 155 00:09:14,610 --> 00:09:18,090 S1: which was surprising. OpenAI is reportedly in talks to raise 156 00:09:18,090 --> 00:09:21,569 S1: a new funding round at a valuation exceeding 100 billion, 157 00:09:21,570 --> 00:09:25,290 S1: led by Thrive Capital, with Microsoft also expected to participate. 158 00:09:25,290 --> 00:09:28,170 S1: And Nvidia and Apple have also been rumored to be 159 00:09:28,170 --> 00:09:31,920 S1: involved in potentially wanting to invest. OpenAI has enhanced its 160 00:09:31,920 --> 00:09:35,520 S1: assistance API, making it easier for developers to fine tune 161 00:09:35,520 --> 00:09:39,360 S1: how AI assistants handle file searches. So this is basically 162 00:09:39,360 --> 00:09:44,270 S1: more controls and power Around. Rag companies like JP Morgan 163 00:09:44,270 --> 00:09:47,929 S1: and Walmart are shifting from restricting generative AI tools like 164 00:09:47,929 --> 00:09:52,370 S1: ChatGPT to developing their own internal assistants. Basically, they know 165 00:09:52,370 --> 00:09:54,439 S1: they can't use the cloud versions, but they know they 166 00:09:54,440 --> 00:09:57,380 S1: also need to use AI. So there appear to be 167 00:09:57,380 --> 00:10:02,600 S1: deciding to build internally. Cisco is acquiring robust intelligence, which 168 00:10:02,720 --> 00:10:06,170 S1: secures AI applications. Not close to the details at all here, 169 00:10:06,170 --> 00:10:10,010 S1: but feels desperate from Cisco. Like we know we're screwed 170 00:10:10,010 --> 00:10:14,330 S1: because networking is not where it's at anymore. And we 171 00:10:14,330 --> 00:10:16,820 S1: need to do something in AI. So let's buy a 172 00:10:16,820 --> 00:10:21,230 S1: thing that secures AI applications. I don't have high hopes. 173 00:10:21,500 --> 00:10:25,189 S1: Today's new note pin is a wearable version of its 174 00:10:25,190 --> 00:10:28,820 S1: previous credit card form factor, which I have and have used. 175 00:10:28,820 --> 00:10:31,070 S1: I don't use it that much. I don't like the 176 00:10:31,070 --> 00:10:33,440 S1: form factor of having to pull it out. It's actually 177 00:10:33,440 --> 00:10:36,770 S1: the friction of using the app that's that's hurting my 178 00:10:36,770 --> 00:10:39,590 S1: use of it. So hopefully that's better with the pin. Also, 179 00:10:39,620 --> 00:10:42,760 S1: I don't like the credit card version of it. Actually, 180 00:10:42,760 --> 00:10:44,230 S1: I need to take it out of my wallet because 181 00:10:44,260 --> 00:10:46,479 S1: I don't really use it that much. Amazon is set 182 00:10:46,480 --> 00:10:49,480 S1: to release a new version of its Alexa voice assistant 183 00:10:49,480 --> 00:10:52,660 S1: in October, and it will be powered by Anthropic's Claude 184 00:10:52,690 --> 00:10:55,360 S1: AI models. I am getting the new one. I have 185 00:10:55,360 --> 00:10:57,369 S1: it on order though. The new note pin. Sorry to 186 00:10:57,400 --> 00:10:59,589 S1: go back to the previous story, but I'm getting the 187 00:10:59,590 --> 00:11:02,350 S1: one that goes around the neck, similar to the limitless one, 188 00:11:02,350 --> 00:11:04,449 S1: which I also have on order. I hope it has 189 00:11:04,450 --> 00:11:07,059 S1: a red button though, because I want people to know, 190 00:11:07,090 --> 00:11:08,770 S1: and if I don't know the person, I'm going to 191 00:11:08,800 --> 00:11:11,920 S1: ask and say. My thing is like recording everything. Not 192 00:11:11,920 --> 00:11:14,590 S1: specifically for this conversation, but it's kind of recording everything 193 00:11:14,590 --> 00:11:16,210 S1: just to let you know. So I could turn it 194 00:11:16,210 --> 00:11:18,550 S1: off if that bothers them. Amazon is set to release 195 00:11:18,550 --> 00:11:22,780 S1: a new version of Alexa Voice in October, so very soon, 196 00:11:22,780 --> 00:11:25,870 S1: and it will be powered by Claude. That is going 197 00:11:25,870 --> 00:11:29,230 S1: to be actual. I am very excited about this. I 198 00:11:29,230 --> 00:11:31,870 S1: can't wait. I don't actually have any Alexa stuff, but 199 00:11:31,870 --> 00:11:34,150 S1: I can't wait for the Apple version. Nearly half of 200 00:11:34,150 --> 00:11:38,610 S1: Nvidia's revenue comes from for mystery customers, each spending over 201 00:11:38,610 --> 00:11:42,780 S1: 3 billion on AI chips like the H200. Heavy reliance 202 00:11:42,780 --> 00:11:47,520 S1: on a few major clients raises concerns. Yeah, and and 203 00:11:47,520 --> 00:11:50,040 S1: they just got hit with an antitrust kind of like 204 00:11:50,070 --> 00:11:54,390 S1: a probe yesterday. And I think they crashed like 10% 205 00:11:54,420 --> 00:11:57,240 S1: like the stock went down like 10%. That was painful. 206 00:11:57,240 --> 00:12:00,750 S1: And and tech is shutting down after 27 years. They 207 00:12:00,750 --> 00:12:04,230 S1: said they are passing the torch to Tom's Hardware. Kind 208 00:12:04,230 --> 00:12:06,480 S1: of sad I kind of grew up on an antique. 209 00:12:06,510 --> 00:12:10,290 S1: China's Wukong game just sold 10 million copies in three days. 210 00:12:10,320 --> 00:12:14,340 S1: Huawei posted record profits in the first half of 2024, 211 00:12:14,370 --> 00:12:20,790 S1: 7.7 billion in net profit, despite ongoing US sanctions. That's insane. 212 00:12:20,820 --> 00:12:23,699 S1: Imagine what they would have done without the US headwinds. 213 00:12:23,730 --> 00:12:26,340 S1: A woman in California used an AirTag to track down 214 00:12:26,340 --> 00:12:30,510 S1: her stolen mail, and the suspects were found with mail 215 00:12:30,510 --> 00:12:32,550 S1: addressed to lots of other people. So they're now they're 216 00:12:32,550 --> 00:12:37,760 S1: facing multiple felonies for disrupting federal mail. Humans. Anarchy in 217 00:12:37,760 --> 00:12:40,429 S1: Sudan has led to the worst famine in the world 218 00:12:40,520 --> 00:12:43,430 S1: seen in 40 years. Nearly half of New York City 219 00:12:43,429 --> 00:12:46,730 S1: bus riders are skipping the fair. 48% of people are 220 00:12:46,730 --> 00:12:50,059 S1: not paying for the bus, presumably because they just like, 221 00:12:50,059 --> 00:12:51,950 S1: what are you going to do? What are you going 222 00:12:51,950 --> 00:12:53,360 S1: to do? You're not going to fight me, you're not 223 00:12:53,360 --> 00:12:55,220 S1: going to kick me off. There's not enough police. The 224 00:12:55,220 --> 00:12:58,310 S1: police don't care. So hopefully they're going to start clamping 225 00:12:58,309 --> 00:13:00,770 S1: down on that. Researchers at the University of Kentucky have 226 00:13:00,770 --> 00:13:04,130 S1: found that long Covid patients show brain changes similar to 227 00:13:04,160 --> 00:13:08,060 S1: those seen in Alzheimer's. The study, published in Alzheimer's and Dementia, 228 00:13:08,090 --> 00:13:13,820 S1: highlights shared issues like neuroinflammation and abnormal brain activity, suggesting 229 00:13:13,820 --> 00:13:19,010 S1: common underlying mechanisms. That is super interesting and exciting. We'd 230 00:13:19,010 --> 00:13:22,310 S1: love to address both. Scientists have discovered that the interaction 231 00:13:22,309 --> 00:13:28,040 S1: between two molecules, pkmzeta and kibra, is crucial for maintaining 232 00:13:28,040 --> 00:13:31,250 S1: long term memories, so this appears to be a pretty 233 00:13:31,250 --> 00:13:35,270 S1: major breakthrough on how long term memories are formed. Ozempic, 234 00:13:35,300 --> 00:13:39,170 S1: a drug for type two diabetes and obesity, might also 235 00:13:39,170 --> 00:13:42,890 S1: slow aging. Are you kidding me? It's like they keep 236 00:13:42,890 --> 00:13:46,160 S1: finding new things that this does. Researchers found it could 237 00:13:46,160 --> 00:13:50,990 S1: treat illnesses like heart failure, arthritis, Alzheimer's and cancer, even 238 00:13:50,990 --> 00:13:55,520 S1: reduce deaths from cardiovascular issues and Covid 19. Oh yeah, 239 00:13:55,520 --> 00:13:58,580 S1: that's a new thing I just saw. Covid 19 death 240 00:13:58,580 --> 00:14:01,910 S1: reduction by 34%. That's not a story in this one, 241 00:14:01,910 --> 00:14:04,160 S1: but it's a story I just read. So it's in 242 00:14:04,160 --> 00:14:07,069 S1: the podcast. So I wonder how much of this. Oh yeah, 243 00:14:07,070 --> 00:14:10,130 S1: I put it right here. All this as news of 244 00:14:10,130 --> 00:14:12,350 S1: it addressing more and more issues feels like it's hitting 245 00:14:12,350 --> 00:14:15,829 S1: something extremely fundamental, like inflammation, which has long been pointed 246 00:14:15,860 --> 00:14:18,140 S1: to as a meta cause or like a meta symptom. 247 00:14:18,140 --> 00:14:20,900 S1: I think meta cause more than meta symptom in lots 248 00:14:20,900 --> 00:14:24,470 S1: of other diseases. I'm not saying it's actually inflammation, just 249 00:14:24,470 --> 00:14:27,800 S1: that it seems to be affecting something very fundamental. But 250 00:14:27,800 --> 00:14:31,070 S1: what if it's just that being thinner and having less 251 00:14:31,070 --> 00:14:34,920 S1: visceral fat or something related to that is actually the thing. 252 00:14:34,950 --> 00:14:38,160 S1: Or maybe being thinner. And the less visceral fat leads 253 00:14:38,160 --> 00:14:41,010 S1: to less inflammation, which the inflammation is causing all the 254 00:14:41,010 --> 00:14:44,190 S1: other things. So like maybe the Covid 19 and the 255 00:14:44,190 --> 00:14:47,790 S1: aging and the dementia and all this stuff is related 256 00:14:47,790 --> 00:14:52,620 S1: to one or both of being thin and healthy, maybe 257 00:14:52,620 --> 00:14:56,880 S1: physically active, maybe inflammation, I don't know, but I'm very curious. 258 00:14:56,880 --> 00:14:59,790 S1: I can't wait to see, like this mystery unfold. A 259 00:14:59,790 --> 00:15:04,410 S1: CIA deep cover operative known as Anthony Laguna spent years 260 00:15:04,410 --> 00:15:09,450 S1: infiltrating Islamist extremist groups, even reaching al Qaeda's broader network. 261 00:15:09,450 --> 00:15:13,830 S1: But he died in 2016, seemingly seemingly of like mental 262 00:15:13,830 --> 00:15:17,310 S1: health issues, which is calling attention on the CIA for like, 263 00:15:17,340 --> 00:15:18,960 S1: how do you how are you taking care of your 264 00:15:18,960 --> 00:15:21,540 S1: people when you put them in these traumatic situations? How 265 00:15:21,540 --> 00:15:23,760 S1: do you handle their mental health? And more people are 266 00:15:23,790 --> 00:15:26,640 S1: going no contact with their parents, driven by a mix 267 00:15:26,640 --> 00:15:30,479 S1: of personal growth and unresolved conflicts. I think the gulf 268 00:15:30,480 --> 00:15:34,040 S1: between Gen Z and what are Gen Z's parents? Are 269 00:15:34,040 --> 00:15:36,800 S1: those exes? I think those are exes. Maybe the difference 270 00:15:36,800 --> 00:15:39,710 S1: between Gen Z and Gen X is just so large, 271 00:15:39,710 --> 00:15:43,580 S1: like ideologically, that maybe that's why this is happening. It's 272 00:15:43,580 --> 00:15:47,090 S1: definitely a factor. Discovery. Whoosh is a command line tool 273 00:15:47,090 --> 00:15:49,580 S1: for transferring files and opening shells over a peer to 274 00:15:49,610 --> 00:15:54,080 S1: peer WireGuard connection. Super cool fire crawl crawl sites using 275 00:15:54,080 --> 00:15:59,540 S1: Claude or GPT and turn the output into LLM ready markdown. History. 276 00:15:59,540 --> 00:16:03,170 S1: For feed, Jozek developed an open source tool that creates 277 00:16:03,200 --> 00:16:06,860 S1: a complete historical archive of full text posts from any 278 00:16:06,890 --> 00:16:11,300 S1: RSS or atom feed. I absolutely need to use this. Yes, 279 00:16:11,300 --> 00:16:14,210 S1: I need to use this like immediately. Uh, which is 280 00:16:14,210 --> 00:16:16,100 S1: why I put it in there. So the most dangerous 281 00:16:16,100 --> 00:16:18,530 S1: email I've ever sent. This is a great read. Who 282 00:16:18,530 --> 00:16:20,840 S1: wants to be hired? A Hacker News thread for people 283 00:16:20,840 --> 00:16:23,510 S1: looking for work. My buddy Clint Gibler did an epic 284 00:16:23,510 --> 00:16:27,860 S1: post summarizing every AI talk from Blackhat and Defcon 2024. 285 00:16:27,860 --> 00:16:30,820 S1: Just an amazing piece of work. It is so like 286 00:16:30,850 --> 00:16:35,200 S1: so deep and like involved. Yeah. Very comprehensive. Definitely check 287 00:16:35,200 --> 00:16:38,560 S1: it out. Using GPT four for web scraping. Three questions 288 00:16:38,560 --> 00:16:42,220 S1: candidates can ask to invert the power dynamic in technical interviews. 289 00:16:42,220 --> 00:16:45,310 S1: The Hatch Restore two is a smart alarm clock designed 290 00:16:45,310 --> 00:16:48,220 S1: to mimic sunrises and sunsets to help you wake up 291 00:16:48,220 --> 00:16:50,500 S1: more naturally. I am so close to getting one of 292 00:16:50,500 --> 00:16:52,960 S1: these things, but I'm stopped by a simple fact I 293 00:16:52,960 --> 00:16:56,530 S1: get natural light in my windows in my bedroom when 294 00:16:56,530 --> 00:17:01,210 S1: the sun comes up, so the sun provides like a 295 00:17:01,210 --> 00:17:05,109 S1: sunrise like experience. But I wear an eye mask when 296 00:17:05,109 --> 00:17:07,600 S1: I sleep to block out the light. So I feel 297 00:17:07,600 --> 00:17:10,090 S1: like this is like the worst kind of overengineering when 298 00:17:10,090 --> 00:17:12,520 S1: you have actual sun, you buy a fake sun, but 299 00:17:12,520 --> 00:17:14,560 S1: you can't see either of them because you're wearing an 300 00:17:14,560 --> 00:17:22,090 S1: eye mask. Uh that's silly. Okay, ideas. Beware of commodified incuriosity. 301 00:17:22,090 --> 00:17:24,909 S1: This is a really good piece. So it's talking about 302 00:17:24,910 --> 00:17:28,780 S1: the act of researching and thinking being replaced by focus 303 00:17:28,780 --> 00:17:31,690 S1: on efficiency and productivity. I think it's a great way 304 00:17:31,690 --> 00:17:33,640 S1: of looking at things and a reason to be cautious 305 00:17:33,640 --> 00:17:36,459 S1: with the overuse of something like extract wisdom, which I 306 00:17:36,490 --> 00:17:40,000 S1: talk about a lot. Basically, I summarization basically a big 307 00:17:40,000 --> 00:17:43,570 S1: part of learning something is struggling with it, and that's 308 00:17:43,570 --> 00:17:46,120 S1: why I tooling focused on learning should be used, in 309 00:17:46,119 --> 00:17:49,000 S1: my current opinion, to help you find things that you 310 00:17:49,000 --> 00:17:51,880 S1: read slowly and absorb and you grapple with and think 311 00:17:51,880 --> 00:17:54,700 S1: about critically. And then you could use something like extract 312 00:17:54,700 --> 00:17:56,979 S1: Wisdom to help you make sure you don't miss things 313 00:17:56,980 --> 00:17:59,830 S1: when you take notes, but don't think that anything other 314 00:17:59,830 --> 00:18:03,669 S1: than future learning implants or something can substitute for the 315 00:18:03,670 --> 00:18:07,900 S1: hard work of actual thinking and processing and grappling with content. 316 00:18:07,930 --> 00:18:10,990 S1: Depression as a hand on a stove. This argument suggests 317 00:18:10,990 --> 00:18:13,660 S1: that instead of trying to eliminate depression, we should see 318 00:18:13,660 --> 00:18:17,650 S1: it as a signal to make life changes. Attention to enchantment. 319 00:18:17,650 --> 00:18:20,740 S1: This piece argues that being enchanted by the world comes 320 00:18:20,740 --> 00:18:22,960 S1: from learning to pay attention to it. I feel like 321 00:18:22,960 --> 00:18:26,340 S1: learning to meditate, which is really just paying attention in 322 00:18:26,340 --> 00:18:30,780 S1: my Sam Harris based school of meditation combined with music festivals. 323 00:18:30,780 --> 00:18:34,650 S1: For me, I've truly learned to appreciate small things in 324 00:18:34,650 --> 00:18:37,200 S1: daily life. It's made me a very happy person. I 325 00:18:37,200 --> 00:18:39,869 S1: really feel like it's a cheat to be able to 326 00:18:39,900 --> 00:18:43,260 S1: extract this much joy from, like, my neighbors, and seeing 327 00:18:43,260 --> 00:18:45,450 S1: people go for a walk with their little kid, or 328 00:18:45,450 --> 00:18:49,560 S1: hearing distant like children playing and like roughhousing and screaming 329 00:18:49,560 --> 00:18:52,200 S1: or whatever. And this also relates to framing, but the 330 00:18:52,200 --> 00:18:56,160 S1: action or the attention piece is really, really key here. 331 00:18:56,160 --> 00:18:58,889 S1: Rarity and beauty. I often wonder how much of beauty 332 00:18:58,890 --> 00:19:01,740 S1: is just rarity. There are lots of seagulls at this 333 00:19:01,740 --> 00:19:04,650 S1: lake that I visit often. The local lake here in 334 00:19:04,650 --> 00:19:07,710 S1: my town. I barely noticed them by default, but they're 335 00:19:07,710 --> 00:19:11,430 S1: like big white birds and I actively try to look 336 00:19:11,460 --> 00:19:13,830 S1: at them sometimes as if they are rare to try 337 00:19:13,830 --> 00:19:17,040 S1: to trick my mind into noticing their beauty. Ralph Waldo 338 00:19:17,070 --> 00:19:20,010 S1: Emerson has a quote if the stars should appear but 339 00:19:20,010 --> 00:19:24,290 S1: one night every thousand years, how man would marvel and stare. 340 00:19:24,290 --> 00:19:26,629 S1: So if the stars only came out every once in 341 00:19:26,660 --> 00:19:31,010 S1: a while, there would be like eclipses, organized like eclipse 342 00:19:31,040 --> 00:19:34,700 S1: watching things. They would be organized just to go and 343 00:19:34,700 --> 00:19:37,850 S1: watch the stars. And the opposite is true as well. 344 00:19:37,850 --> 00:19:40,310 S1: If the eclipse happened all the time, nobody would look 345 00:19:40,310 --> 00:19:42,350 S1: at it. It would be like the most boring thing ever. 346 00:19:42,350 --> 00:19:45,230 S1: So it's the fact that it's rare that makes it special. 347 00:19:45,230 --> 00:19:47,660 S1: That's really it. And I often think about how much 348 00:19:47,660 --> 00:19:49,909 S1: beauty we have in our lives that we ignore because 349 00:19:49,940 --> 00:19:53,210 S1: it's either too common or too omnipresent, or maybe those 350 00:19:53,210 --> 00:19:55,550 S1: are the same in this context. I feel like the 351 00:19:55,550 --> 00:19:58,310 S1: Stoics had it figured out when they taught the exercise 352 00:19:58,310 --> 00:20:01,399 S1: of imagining your life without certain things. I try to 353 00:20:01,400 --> 00:20:04,190 S1: do this, and it does help me appreciate them. Two 354 00:20:04,220 --> 00:20:07,130 S1: bad choices in November. This is a political one. I'm 355 00:20:07,130 --> 00:20:10,010 S1: not going to do it, honestly. It's just that I 356 00:20:10,010 --> 00:20:15,710 S1: think both candidates are both bad in different ways, and 357 00:20:15,740 --> 00:20:19,580 S1: I'm very afraid in both cases of either of them winning, 358 00:20:19,580 --> 00:20:22,669 S1: but for very different reasons. And I think both of 359 00:20:22,670 --> 00:20:25,850 S1: them could do some good as well. Recommendation of the week. 360 00:20:25,850 --> 00:20:28,639 S1: Here's a frame for you to try on. This goes 361 00:20:28,640 --> 00:20:31,520 S1: along with the previous one of the previous points. You 362 00:20:31,520 --> 00:20:34,310 S1: become what you pay attention to. It's election year in 363 00:20:34,310 --> 00:20:37,100 S1: a few places, including the US. The world is on fire. 364 00:20:37,130 --> 00:20:39,199 S1: Politics are a mess everywhere, and it seems like the 365 00:20:39,200 --> 00:20:42,500 S1: very fabric of Steven Pinker's last couple of books has 366 00:20:42,500 --> 00:20:46,040 S1: completely unraveled. But maybe we have an option other than 367 00:20:46,070 --> 00:20:49,550 S1: staring directly into the toilet. Maybe all the beauty in 368 00:20:49,550 --> 00:20:52,100 S1: the world is still there, and maybe we could focus 369 00:20:52,100 --> 00:20:55,010 S1: on that instead. Or at the very least, not on 370 00:20:55,010 --> 00:20:57,379 S1: the toilet. I'm not saying to be cowardly. If you're 371 00:20:57,380 --> 00:21:00,020 S1: one of the few people who can actually change lots 372 00:21:00,020 --> 00:21:02,240 S1: of minds and help the world in some sort of way, 373 00:21:02,270 --> 00:21:04,760 S1: maybe you should serve time in the toilet. That is 374 00:21:04,760 --> 00:21:07,639 S1: our current situation, but that's probably not the case. Most 375 00:21:07,640 --> 00:21:10,550 S1: of us won't be missed on those front lines, so 376 00:21:10,550 --> 00:21:12,919 S1: maybe instead we could use those few months to make 377 00:21:12,920 --> 00:21:15,230 S1: a list of the best poetry books, or start a 378 00:21:15,230 --> 00:21:18,230 S1: D&D campaign with your friends, or learn to play piano. 379 00:21:18,230 --> 00:21:21,430 S1: Maybe we could focus our attention on the great stuff 380 00:21:21,430 --> 00:21:24,700 S1: in the world that we always said we'd look at later. 381 00:21:24,730 --> 00:21:26,620 S1: Now is a pretty good time to do that. It's 382 00:21:26,619 --> 00:21:29,229 S1: a good time to fill our attention with that instead 383 00:21:29,230 --> 00:21:31,990 S1: of the ugliness in the world, so we can become 384 00:21:31,990 --> 00:21:35,230 S1: the goodness for someone else. And the aphorism of the week. 385 00:21:35,260 --> 00:21:37,960 S1: You become what you pay attention to. So be very 386 00:21:37,960 --> 00:21:40,780 S1: careful what you pay attention to. You become what you 387 00:21:40,780 --> 00:21:43,600 S1: pay attention to. So be very careful what you pay 388 00:21:43,600 --> 00:21:47,920 S1: attention to. Unsupervised learning is produced and edited by Daniel 389 00:21:47,950 --> 00:21:52,929 S1: Meisler on a Neumann U87 AI microphone using Hindenburg. Intro 390 00:21:52,930 --> 00:21:56,350 S1: and outro music is by zombie with a Y. And 391 00:21:56,350 --> 00:21:58,510 S1: to get the text and links from this episode, sign 392 00:21:58,510 --> 00:22:03,190 S1: up for the newsletter version of the show at Daniel miessler.com/newsletter. 393 00:22:04,180 --> 00:22:05,230 S1: We'll see you next time.