1 00:00:00,800 --> 00:00:04,939 S1: Unsupervised Learning is a podcast about trends and ideas in cybersecurity, 2 00:00:04,970 --> 00:00:10,010 S1: national security, AI, technology and society, and how best to 3 00:00:10,039 --> 00:00:17,509 S1: upgrade ourselves to be ready for what's coming. All right, 4 00:00:17,510 --> 00:00:21,890 S1: welcome to Unsupervised Learning is Daniel and episode 471. Hope 5 00:00:21,890 --> 00:00:25,340 S1: your week is going well. Updates on my side want 6 00:00:25,340 --> 00:00:28,610 S1: to publicly shame myself here, so I basically hack and 7 00:00:28,610 --> 00:00:33,019 S1: write for most of the day for work, and pretty 8 00:00:33,020 --> 00:00:37,339 S1: much every single meal I have at some fast food restaurant, 9 00:00:37,340 --> 00:00:42,470 S1: which is just unbelievable for somebody who is supposed to 10 00:00:42,470 --> 00:00:44,900 S1: be smart. It is really bad for your health to 11 00:00:44,930 --> 00:00:48,500 S1: do this, and it's really pure laziness and also just 12 00:00:48,500 --> 00:00:51,980 S1: intimidation of like how to do this cooking thing properly 13 00:00:51,979 --> 00:00:54,800 S1: and basically go and eat in the car and come 14 00:00:54,800 --> 00:00:59,560 S1: back and get right back into working. Um, but I 15 00:00:59,560 --> 00:01:03,430 S1: must start cooking at home now. I put this in 16 00:01:03,430 --> 00:01:06,700 S1: the newsletter and the newsletter went out. Before you're hearing this, 17 00:01:06,700 --> 00:01:11,380 S1: as you probably know. And, uh, I got close to 18 00:01:11,410 --> 00:01:18,730 S1: 500 email responses. It was absolutely overwhelming. It is hundreds 19 00:01:18,730 --> 00:01:22,720 S1: of people reaching out already bought my pressure cooker or 20 00:01:22,720 --> 00:01:26,140 S1: what is it? Instant pot already bought that thing because 21 00:01:26,140 --> 00:01:28,840 S1: everyone pointed me to that being like the best way 22 00:01:28,840 --> 00:01:33,429 S1: to do things. And, uh, got a specific one, which 23 00:01:33,430 --> 00:01:36,130 S1: seemed to be like one of the most popular ones. Also, 24 00:01:36,130 --> 00:01:39,580 S1: it was on Wirecutter, I think, as well. But, uh, yeah, 25 00:01:39,580 --> 00:01:41,140 S1: I'm going to try to do the eggs thing. I'm 26 00:01:41,140 --> 00:01:43,570 S1: going to try to do the steak thing and, uh, 27 00:01:43,569 --> 00:01:47,770 S1: really appreciate all of you who responded to help me out. 28 00:01:47,800 --> 00:01:50,350 S1: It sounds like a lot of us have been going 29 00:01:50,350 --> 00:01:53,710 S1: through that and have figured it out to some degree. 30 00:01:53,710 --> 00:01:57,820 S1: So really appreciate all the feedback. If you're into cloud security, 31 00:01:57,900 --> 00:02:00,870 S1: You need to be following my buddy Rich mogul's cloud 32 00:02:00,870 --> 00:02:05,400 S1: security lab a week. So cloud slaw is one of 33 00:02:05,400 --> 00:02:08,100 S1: the absolute best cloud security people on Earth. And he's 34 00:02:08,100 --> 00:02:12,810 S1: putting out really high quality labs for free, like every week. 35 00:02:12,840 --> 00:02:15,720 S1: And he's like an EMT and he's like a really 36 00:02:15,720 --> 00:02:20,280 S1: great guy. He's just fantastic. So definitely recommend you check 37 00:02:20,280 --> 00:02:25,050 S1: him out. Cloud slaw. Rich Mogull and AI's ultimate use 38 00:02:25,050 --> 00:02:28,140 S1: case transition from current to desired state. I'm going to 39 00:02:28,139 --> 00:02:29,760 S1: do a separate video about this. So I'm not going 40 00:02:29,790 --> 00:02:32,970 S1: to talk about this blog post. Cybersecurity. A lot of 41 00:02:32,970 --> 00:02:36,750 S1: confusion about what's happening in the Trump administration supposedly standing 42 00:02:36,750 --> 00:02:40,860 S1: down US cyber operations around Russia. So stories first say 43 00:02:40,860 --> 00:02:43,170 S1: it's like government wide and then it's like, no, it's 44 00:02:43,169 --> 00:02:46,650 S1: not really all the government. It's only certain departments. These 45 00:02:46,650 --> 00:02:50,520 S1: things are happening so fast. You and you don't know 46 00:02:50,520 --> 00:02:52,560 S1: the quality of the signal that we're getting from these 47 00:02:52,560 --> 00:02:55,950 S1: different sources. So it's like I tend to like be 48 00:02:55,970 --> 00:02:59,720 S1: waiting and just seeing what actually turns out to be 49 00:02:59,720 --> 00:03:04,190 S1: the case, because something could be hyper overblown. It's just 50 00:03:04,190 --> 00:03:06,650 S1: really hard to track things right now because it's so 51 00:03:06,650 --> 00:03:09,320 S1: much chaos going on. And I've got a lot to say, though, 52 00:03:09,320 --> 00:03:14,510 S1: about the general vibe of the administration seeming to move 53 00:03:14,540 --> 00:03:20,299 S1: towards Russia and away from trusting its own Intel people. 54 00:03:20,300 --> 00:03:22,580 S1: So that is a really huge problem for me, which 55 00:03:22,580 --> 00:03:25,070 S1: I'm going to talk about more below. VMware is releasing 56 00:03:25,100 --> 00:03:30,230 S1: emergency patches for three actively exploited flaws in ESXi workstation 57 00:03:30,230 --> 00:03:35,510 S1: and fusion new polyglot malware campaign called Suzano, targeting aviation 58 00:03:35,510 --> 00:03:39,230 S1: and satellite companies in the UAE. Hirsch IoT intercoms are 59 00:03:39,230 --> 00:03:43,340 S1: letting anyone with Google access unlock apartment doors due to 60 00:03:43,370 --> 00:03:46,730 S1: known default credentials. So this is like somebody could use 61 00:03:46,730 --> 00:03:50,210 S1: an app to, like, break into apartments who are protected 62 00:03:50,210 --> 00:03:54,350 S1: by this particular type of IoT. When IoT was a 63 00:03:54,350 --> 00:03:57,970 S1: big thing. Like the talk about IoT was a big thing. 64 00:03:58,300 --> 00:04:02,080 S1: When was that? Was that like 2012? 2015? I feel 65 00:04:02,080 --> 00:04:05,890 S1: like it was around that area. And I did a 66 00:04:05,890 --> 00:04:08,170 S1: lot of press at that time talking about it. And 67 00:04:08,170 --> 00:04:10,270 S1: I was just like, I think this is kind of 68 00:04:10,270 --> 00:04:14,530 S1: overblown because what people don't realize about this is you 69 00:04:14,530 --> 00:04:17,320 S1: have to properly threat model. So you have to look 70 00:04:17,350 --> 00:04:20,770 S1: at the Venn diagram of people who want to break 71 00:04:20,770 --> 00:04:25,750 S1: into places and steal things and are willing to break 72 00:04:25,750 --> 00:04:29,200 S1: the law in order to do that. That's one circle. 73 00:04:29,560 --> 00:04:32,799 S1: The other circle is people who don't know how to 74 00:04:32,830 --> 00:04:36,130 S1: do it. They are unable to get into the building. 75 00:04:36,130 --> 00:04:40,450 S1: It's like too difficult. The locks are stopping them. The 76 00:04:40,450 --> 00:04:43,990 S1: technology is stopping them. The security is stopping them. It's 77 00:04:43,990 --> 00:04:46,210 S1: just a huge problem for them, right? They're not able 78 00:04:46,210 --> 00:04:48,700 S1: to do it. Now, what does this look like for 79 00:04:48,730 --> 00:04:52,060 S1: a Venn diagram? Now, to illuminate this more, think about 80 00:04:52,060 --> 00:04:56,790 S1: what this particular vulnerability is actually going to do to 81 00:04:56,820 --> 00:05:00,060 S1: these two, then to these two circles in the Venn. 82 00:05:00,060 --> 00:05:03,060 S1: I think the answer is it's not going to add 83 00:05:03,060 --> 00:05:07,260 S1: too many people to the ones who are actually willing 84 00:05:07,290 --> 00:05:10,560 S1: to do the damage, and I don't think it's ultimately 85 00:05:10,560 --> 00:05:16,110 S1: going to result in too many more people getting broken into. So, 86 00:05:16,110 --> 00:05:19,050 S1: in other words, the people who want to break into 87 00:05:19,080 --> 00:05:23,250 S1: apartment buildings, the people who want to break into, uh, 88 00:05:23,460 --> 00:05:27,210 S1: people's homes, people's apartments. I don't think they are limited 89 00:05:27,210 --> 00:05:29,850 S1: by not being able to get in. I think locks 90 00:05:29,850 --> 00:05:33,300 S1: are too easy to pick and they can get by. Now, 91 00:05:33,300 --> 00:05:36,270 S1: the question is, are there cameras that actually record them 92 00:05:36,270 --> 00:05:39,539 S1: doing it? And here's a better question. The cameras aren't 93 00:05:39,540 --> 00:05:44,609 S1: going away. So is the disincentive because of the cameras? 94 00:05:44,610 --> 00:05:49,980 S1: Isn't that still there still stopping a person from potentially 95 00:05:49,980 --> 00:05:52,950 S1: doing this. So I think people will see something like 96 00:05:52,950 --> 00:05:55,440 S1: this and they're like, oh, that's game over. No, you 97 00:05:55,440 --> 00:05:57,660 S1: have to threat model. This is why threat modeling is 98 00:05:57,660 --> 00:06:00,510 S1: like one of the most important skill sets that you 99 00:06:00,510 --> 00:06:05,010 S1: could learn for life in general. I'm very thankful for 100 00:06:05,010 --> 00:06:09,480 S1: my security education and, you know, all the workshops and 101 00:06:09,480 --> 00:06:12,660 S1: tabletops and everything I've done with threat modeling because it's 102 00:06:12,660 --> 00:06:15,390 S1: a universal life skill, because a lot of things are 103 00:06:15,390 --> 00:06:20,580 S1: emotionally charged. I'm moving to this new city. Oh, it's supposedly, uh, 104 00:06:20,580 --> 00:06:25,229 S1: supposedly a dangerous area to be, um, it's, you know, 105 00:06:25,260 --> 00:06:27,690 S1: there's been x number of crimes in this area. There's 106 00:06:27,720 --> 00:06:30,990 S1: X number of car crashes with this particular type of car. 107 00:06:31,020 --> 00:06:34,860 S1: When you actually gather the data and throw together how 108 00:06:34,860 --> 00:06:37,169 S1: you plan on using this thing, or how you plan 109 00:06:37,170 --> 00:06:40,380 S1: on attackers using this thing or whatever, and you start 110 00:06:40,380 --> 00:06:44,640 S1: moving through the scenarios that you're worried about. Usually you 111 00:06:44,640 --> 00:06:49,380 S1: end up realizing the things you are emotionally worried about 112 00:06:49,410 --> 00:06:53,000 S1: are not the ones. And oftentimes the things you're not 113 00:06:53,000 --> 00:06:56,539 S1: emotionally worried about actually are the ones. So this is 114 00:06:56,540 --> 00:07:00,080 S1: a big exercise in, you know, the work of Kahneman 115 00:07:00,080 --> 00:07:05,270 S1: where he realized, you know, bias and mental models and 116 00:07:05,270 --> 00:07:09,380 S1: perception is actually far more important to how we see 117 00:07:09,380 --> 00:07:12,920 S1: the world than actual reality. And that really needs to 118 00:07:12,920 --> 00:07:15,830 S1: be applied when you're thinking about things like this. And 119 00:07:15,860 --> 00:07:18,980 S1: in cyber or other types of security, brute forcing attackers 120 00:07:18,980 --> 00:07:22,130 S1: are targeting thousands of ISP networks in the US and 121 00:07:22,130 --> 00:07:25,580 S1: China to deploy stealers that grab crypto wallets and mine 122 00:07:25,580 --> 00:07:30,680 S1: Monero on compromised systems. Meta terminated 20 employees for sharing 123 00:07:30,680 --> 00:07:34,760 S1: internal info outside the company after recent stories about unannounced 124 00:07:34,760 --> 00:07:38,929 S1: products and meetings. Really cool wired thing here. It's a 125 00:07:38,930 --> 00:07:42,440 S1: wired video shows how Tesla vehicles record everything from driver 126 00:07:42,440 --> 00:07:47,840 S1: behavior to biometric data. Ask some pretty smart privacy questions 127 00:07:47,840 --> 00:07:51,310 S1: about this whole system. And yeah, it was a great video. 128 00:07:51,340 --> 00:07:54,160 S1: I watched the whole thing and a lot of it 129 00:07:54,160 --> 00:07:57,010 S1: is not alarming. A lot. Some of the stuff towards 130 00:07:57,010 --> 00:07:59,290 S1: the end, the end is like really where the meat 131 00:07:59,320 --> 00:08:03,130 S1: of this thing is basically talking about how there's been 132 00:08:03,130 --> 00:08:08,050 S1: some cases of things being abused, like recordings from inside 133 00:08:08,050 --> 00:08:10,810 S1: of cars and stuff like that. I don't think it's widespread. 134 00:08:10,840 --> 00:08:13,210 S1: Otherwise we would have heard a lot more about it, 135 00:08:13,210 --> 00:08:17,140 S1: but it's something to keep in mind. It's especially something 136 00:08:17,140 --> 00:08:19,300 S1: to keep in mind when you're talking about like BYD, 137 00:08:19,330 --> 00:08:23,230 S1: which is the main Tesla competitor, and they're likely to 138 00:08:23,260 --> 00:08:26,710 S1: be here in the US soon, I'm guessing. And it's 139 00:08:26,710 --> 00:08:29,530 S1: a pure Chinese company. Okay. So if they have the 140 00:08:29,530 --> 00:08:34,569 S1: same sort of monitoring capability and infrastructure that Tesla does, 141 00:08:34,570 --> 00:08:38,350 S1: but it's a Chinese company. Whole different game for me. 142 00:08:38,380 --> 00:08:42,339 S1: I've not been super worried about all this surveillance stuff 143 00:08:42,340 --> 00:08:47,020 S1: inside of consumer tech, uh, because of how much I 144 00:08:47,040 --> 00:08:51,450 S1: trust or don't trust the products, where I have cameras, 145 00:08:51,450 --> 00:08:55,050 S1: where I have microphones in my house or in my car, 146 00:08:55,050 --> 00:08:59,489 S1: and which companies I'm allowing to actually be part of 147 00:08:59,520 --> 00:09:06,360 S1: that network. Right. So I trust Apple very highly, not 148 00:09:06,360 --> 00:09:08,490 S1: only because I worked there for a few years in 149 00:09:08,490 --> 00:09:12,510 S1: the actual security group, but just because it's pretty clear 150 00:09:12,510 --> 00:09:16,500 S1: how much importance they're putting on privacy and security. And 151 00:09:16,500 --> 00:09:19,740 S1: I know that is confirmed for me personally because I've 152 00:09:19,740 --> 00:09:21,900 S1: been on the inside. That's not the case for Google. 153 00:09:21,900 --> 00:09:24,870 S1: For me, it's not the case for Amazon. For me, 154 00:09:24,870 --> 00:09:27,449 S1: it's not the case for meta, and necessarily for me, 155 00:09:27,480 --> 00:09:30,270 S1: not as much as Apple. And it's damn sure not 156 00:09:30,270 --> 00:09:35,220 S1: the case for some Chinese company like TikTok or or, uh, 157 00:09:35,340 --> 00:09:39,150 S1: you know, ByteDance or whoever it is, or BYD when 158 00:09:39,150 --> 00:09:41,550 S1: those cars come. So you got to think about who 159 00:09:41,580 --> 00:09:44,460 S1: you're sending this stuff actually to. What are their long 160 00:09:44,490 --> 00:09:48,650 S1: term goals? National security. China's research output on next gen 161 00:09:48,650 --> 00:09:52,010 S1: chipmaking tech is now double that of the US, which 162 00:09:52,010 --> 00:09:57,200 S1: suggests that the bands are actually forcing them to get 163 00:09:57,200 --> 00:10:03,020 S1: smarter and more innovative. Innovative? That's a word. Innovative. So 164 00:10:03,020 --> 00:10:06,590 S1: basically I was trying to say innovative. I was trying 165 00:10:06,590 --> 00:10:09,380 S1: to say like the British version of that word. Anyway, 166 00:10:09,380 --> 00:10:14,030 S1: it didn't work, but we could be forcing innovation from China, 167 00:10:14,030 --> 00:10:18,500 S1: where they were relying before on theft and relying before 168 00:10:18,530 --> 00:10:22,520 S1: on just kind of like buying other people's good stuff. 169 00:10:22,520 --> 00:10:25,490 S1: So we might be getting the exact opposite of what 170 00:10:25,490 --> 00:10:28,760 S1: we planned on getting. We might be waking them up, 171 00:10:28,760 --> 00:10:31,400 S1: which is which is really interesting to think about when 172 00:10:31,400 --> 00:10:36,080 S1: you think about economics and like stimulus and response, but 173 00:10:36,080 --> 00:10:40,790 S1: also quite concerning. Tulsi Gabbard, new director of national intelligence, 174 00:10:40,790 --> 00:10:44,590 S1: is firing more than 100 intelligence officers for sharing explicit 175 00:10:44,590 --> 00:10:49,090 S1: messages on an NSA internal platform, but I'm calling shenanigans 176 00:10:49,090 --> 00:10:52,120 S1: on this. A number of my trans friends who know 177 00:10:52,120 --> 00:10:54,850 S1: a lot about intelligence and cyber are saying this is 100% 178 00:10:54,850 --> 00:10:59,080 S1: an attempt to remove trans people from government, and they're using, like, 179 00:10:59,080 --> 00:11:02,949 S1: this explicit content thing as like the cover story for that. 180 00:11:02,980 --> 00:11:06,610 S1: It looks like the messages in question were like about 181 00:11:06,610 --> 00:11:09,699 S1: getting like bottom surgery. Similar topics. Kind of like women 182 00:11:09,700 --> 00:11:14,380 S1: talking about post-pregnancy body issues or whatever. So it could 183 00:11:14,380 --> 00:11:17,770 S1: be considered explicit or personal or gross or whatever in 184 00:11:17,770 --> 00:11:20,530 S1: certain lights. But that's all part of being human, right? 185 00:11:20,800 --> 00:11:23,500 S1: So the question is, were these the right forums to 186 00:11:23,530 --> 00:11:26,500 S1: talk about such things? Was it like egregious or was 187 00:11:26,500 --> 00:11:31,120 S1: it like partial? And I didn't see the messages. I 188 00:11:31,120 --> 00:11:33,580 S1: don't know the forum they were doing this in. I 189 00:11:33,580 --> 00:11:36,520 S1: actually did get a reach out from someone in the 190 00:11:36,550 --> 00:11:39,640 S1: IC community, actually, kind of like on the inside around 191 00:11:39,640 --> 00:11:43,830 S1: here around the topic, who actually did see all this stuff, 192 00:11:43,830 --> 00:11:48,720 S1: and they said it was pretty egregious and it was 193 00:11:48,720 --> 00:11:52,079 S1: pretty bad and I don't know. So first of all, 194 00:11:52,080 --> 00:11:54,030 S1: they could be lying. Second of all, I don't think 195 00:11:54,030 --> 00:11:56,939 S1: they were, but they could be lying. It's also a 196 00:11:56,940 --> 00:12:00,689 S1: single data point. It's a single opinion. The point is, 197 00:12:00,720 --> 00:12:03,240 S1: there's kind of two obvious ways to go here. Like, 198 00:12:03,270 --> 00:12:06,750 S1: it was really bad and they deserve to be punished 199 00:12:06,750 --> 00:12:10,859 S1: or whatever. But I say there's two ways of looking 200 00:12:10,860 --> 00:12:12,600 S1: at it. First of all, there's a bunch of trans 201 00:12:12,600 --> 00:12:15,450 S1: people ignoring their work and spending their time talking about 202 00:12:15,450 --> 00:12:20,190 S1: personal trans issues in an inappropriate forum in an inappropriate 203 00:12:20,190 --> 00:12:23,820 S1: way when they should have been working. So they got fired. 204 00:12:23,820 --> 00:12:25,890 S1: That's one way to think about it. Another way to 205 00:12:25,920 --> 00:12:28,830 S1: think about it is Tulsi Gabbard is part of an 206 00:12:28,830 --> 00:12:32,579 S1: extremely anti-trans administration that is looking for any excuse to 207 00:12:32,610 --> 00:12:35,640 S1: fire trans people, even if it harms our ability to 208 00:12:35,640 --> 00:12:38,610 S1: do intelligence work. And this is a cover story for 209 00:12:38,610 --> 00:12:41,270 S1: doing so. Again, I'm not close to the sources, so 210 00:12:41,270 --> 00:12:44,599 S1: I can't operate with any certainty. But giving, given what 211 00:12:44,600 --> 00:12:48,170 S1: we know the administration is actually doing against trans people 212 00:12:48,170 --> 00:12:51,920 S1: and how aggressively they're going after this issue. I think 213 00:12:51,920 --> 00:12:54,020 S1: it's more likely to be number two. For me. That's 214 00:12:54,020 --> 00:12:58,460 S1: just logical. TSMC is planning to invest $100 billion in 215 00:12:58,460 --> 00:13:00,920 S1: US chip plants over the next four years, according to 216 00:13:00,950 --> 00:13:06,230 S1: President Trump's announcement yesterday, which was a few days ago now. 217 00:13:06,350 --> 00:13:09,650 S1: And I think this is great. Get all these companies here, 218 00:13:09,679 --> 00:13:13,609 S1: Apple to spin them up in Arizona like we got 219 00:13:13,610 --> 00:13:16,610 S1: plenty of desert. We got plenty of wide open spaces. 220 00:13:16,640 --> 00:13:20,600 S1: Let's build some giant solar farms. Let's get chip production here. 221 00:13:20,600 --> 00:13:24,140 S1: Let's get Apple production here. Let's get everything over here. 222 00:13:24,140 --> 00:13:27,199 S1: Because the world is crazy. All right, I anthropic closed 223 00:13:27,200 --> 00:13:30,260 S1: a $3.5 billion funding round that values the company at 224 00:13:30,260 --> 00:13:37,250 S1: 61.5 billion. Revenue has grown 1,000% year over year. Really? 225 00:13:37,250 --> 00:13:41,560 S1: Feels like they're quietly doing what OpenAI is loudly failing at. 226 00:13:41,559 --> 00:13:44,530 S1: And I think this should be really encouraging for companies 227 00:13:44,530 --> 00:13:48,100 S1: that enter spaces that seem like they're already won. Like, 228 00:13:48,130 --> 00:13:51,819 S1: you wouldn't want to go up against OpenAI in, say, 229 00:13:51,850 --> 00:13:56,260 S1: early 2023. They just owned the entire AI world and 230 00:13:56,260 --> 00:14:00,579 S1: there was nobody around to compete. And here we are 231 00:14:00,580 --> 00:14:05,050 S1: beginning at 25, and we've got a few people competing 232 00:14:05,050 --> 00:14:10,000 S1: and we've got open models competing. It's it's really encouraging, actually, 233 00:14:10,000 --> 00:14:13,420 S1: as you know, if you're trying to get people excited 234 00:14:13,420 --> 00:14:17,589 S1: about being creative and building, it's it's great to see 235 00:14:17,590 --> 00:14:22,330 S1: somebody that was untouchable two years ago be very touchable now. 236 00:14:22,360 --> 00:14:27,340 S1: OpenAI released GPT 4.5. Most people are not happy with it. 237 00:14:27,490 --> 00:14:30,280 S1: It a lot of people are saying it doesn't feel 238 00:14:30,280 --> 00:14:33,430 S1: smarter at all. And to me it felt like like 239 00:14:33,430 --> 00:14:37,330 S1: a push like PR release because sonnet 3.7 came out. 240 00:14:37,360 --> 00:14:41,250 S1: Other models that come out recently and yeah, it just 241 00:14:41,280 --> 00:14:43,590 S1: it didn't go well. They should have paused on that 242 00:14:43,590 --> 00:14:47,430 S1: and waited for a bigger release that was more more baked, 243 00:14:47,460 --> 00:14:51,450 S1: more proper marketing around it and everything. Chinese government is 244 00:14:51,450 --> 00:14:54,420 S1: telling its AI experts to avoid US travel because they're 245 00:14:54,420 --> 00:14:58,800 S1: worried they might leak Chinese secrets. Yeah. Leaking AI secrets. 246 00:14:58,830 --> 00:15:04,950 S1: China's worried about it. Cool. Roger Penrose explains why Godel's 247 00:15:04,950 --> 00:15:09,360 S1: theorem mathematically proves that artificial intelligence can't truly replicate human 248 00:15:09,360 --> 00:15:14,850 S1: consciousness or understanding. I disagree with this, obviously, but it's 249 00:15:14,850 --> 00:15:18,300 S1: Roger Penrose. I think he's a great thinker, or at 250 00:15:18,300 --> 00:15:21,030 S1: least has been a great thinker on a lot of 251 00:15:21,030 --> 00:15:24,120 S1: different topics. I know that there are a few areas, 252 00:15:24,120 --> 00:15:28,530 S1: not counting AI, where I disagree with him, but doesn't matter. 253 00:15:28,530 --> 00:15:32,310 S1: He is a top tier thinker and he disagrees with 254 00:15:32,310 --> 00:15:36,090 S1: my position. Therefore I am putting it in the newsletter. 255 00:15:36,090 --> 00:15:41,310 S1: Marc Benioff says Salesforce won't hire engineers in 2025 because 256 00:15:41,310 --> 00:15:45,270 S1: their AI agents are doing the work so effectively. That 257 00:15:45,270 --> 00:15:49,290 S1: sounds awesome, and I kind of believe him. However, this 258 00:15:49,290 --> 00:15:52,830 S1: is also direct marketing for Agent Force, which is their product. 259 00:15:52,830 --> 00:15:55,560 S1: So hard to tell if this is marketing or real. 260 00:15:55,590 --> 00:15:59,430 S1: New study shows that large language models are just echoing 261 00:15:59,430 --> 00:16:03,360 S1: logical patterns without real understanding, which explains why they struggle 262 00:16:03,360 --> 00:16:08,070 S1: with complex reasoning. Again, I want to see the best 263 00:16:08,070 --> 00:16:12,540 S1: possible arguments against my position. Technology. Waymo now handles over 264 00:16:12,540 --> 00:16:19,320 S1: 200,000 paid robotaxi rides weekly across three cities 20 times 265 00:16:19,320 --> 00:16:23,040 S1: growth 20 x growth. That's how you're supposed to say 266 00:16:23,040 --> 00:16:26,520 S1: that 20 x growth in just two years. BYD and 267 00:16:26,520 --> 00:16:32,940 S1: DJI have created a $2,200 vehicle mounted drone launch platform 268 00:16:32,940 --> 00:16:37,970 S1: that lets your BYD Wide vehicle deploy and retrieve drones 269 00:16:37,970 --> 00:16:41,510 S1: while driving. Up to 15mph. This is the kind of 270 00:16:41,510 --> 00:16:43,790 S1: cool stuff that I'm talking about that BYD is coming 271 00:16:43,790 --> 00:16:46,489 S1: out with. They also had a video recently of their 272 00:16:46,490 --> 00:16:50,270 S1: electric car doing a turbo boost, like over a pothole 273 00:16:50,270 --> 00:16:55,730 S1: or something. Insane stuff. Like they're doing some pretty innovative stuff. 274 00:16:55,730 --> 00:16:59,930 S1: I'm worried about us carmakers competing against them, I really am. 275 00:16:59,960 --> 00:17:02,420 S1: It's like, this is why I'm kind of like, I 276 00:17:02,420 --> 00:17:08,030 S1: like Tesla as a foil against them, right? I'm obviously 277 00:17:08,090 --> 00:17:12,500 S1: very unhappy with Elon right now. So that's that's got 278 00:17:12,500 --> 00:17:15,500 S1: me a bit torn. But I do not want American 279 00:17:15,500 --> 00:17:18,890 S1: car companies to fall to BYD because their cars are 280 00:17:18,890 --> 00:17:22,970 S1: way cheaper, way cooler, and you know, no one else 281 00:17:22,970 --> 00:17:25,250 S1: can keep up with them. It seems like Tesla's got 282 00:17:25,250 --> 00:17:27,980 S1: the only chance. All right humans. All right. The housing 283 00:17:28,010 --> 00:17:32,270 S1: theory of everything argues that our catastrophically restrictive housing policies 284 00:17:32,270 --> 00:17:37,090 S1: create cascading problems across society, from inequality to climate change. 285 00:17:37,090 --> 00:17:44,350 S1: Many Doraiswamy Doraiswamy talks about how solopreneurs are becoming real 286 00:17:44,350 --> 00:17:50,320 S1: competition to traditional companies thanks to AI coding, top MBA programs, 287 00:17:50,320 --> 00:17:54,429 S1: seeing way fewer grads landing jobs quickly. With Harvard's unemployment 288 00:17:54,460 --> 00:18:00,310 S1: rate jumping from 4 to 15% since 2021. Think about 289 00:18:00,310 --> 00:18:04,179 S1: what a Harvard MBA with potentially not too much experience 290 00:18:04,180 --> 00:18:07,420 S1: in the real world of business is able to do 291 00:18:07,450 --> 00:18:12,220 S1: in a world full of very, very smart AI. What 292 00:18:12,220 --> 00:18:15,310 S1: exactly are we getting from this Harvard MBA? I think 293 00:18:15,310 --> 00:18:19,629 S1: so many things. This is kind of a meta analysis here. 294 00:18:19,630 --> 00:18:26,379 S1: So many things that are extremely expensive and elitist, and 295 00:18:26,380 --> 00:18:30,250 S1: they are those things because they are supply constrained. You 296 00:18:30,250 --> 00:18:33,030 S1: can't get into Harvard. Therefore, Harvard is worth a lot. 297 00:18:33,060 --> 00:18:36,420 S1: A degree from there is worth a lot, right? You. 298 00:18:36,450 --> 00:18:40,710 S1: It's hard to raise $200 million from a VC. Therefore, 299 00:18:40,710 --> 00:18:43,980 S1: any company who makes a product that's backed by a 300 00:18:43,980 --> 00:18:48,210 S1: VC and has raised $200 million, the product must be good. 301 00:18:48,240 --> 00:18:52,800 S1: This is dying. This concept is dying. That's why things 302 00:18:52,800 --> 00:18:57,900 S1: like Harvard are going to massively struggle, because the value 303 00:18:57,900 --> 00:19:01,980 S1: of what they're actually producing is not going to be 304 00:19:01,980 --> 00:19:04,649 S1: as good as if you watched a whole lot of 305 00:19:04,650 --> 00:19:07,860 S1: YouTube and read a whole lot of books and did 306 00:19:07,859 --> 00:19:10,770 S1: a whole lot of writing, right, and moved ideas through 307 00:19:10,800 --> 00:19:14,369 S1: your mind very quickly, and actually worked with companies and 308 00:19:14,369 --> 00:19:17,820 S1: had experience on the ground. The difference between that education 309 00:19:17,820 --> 00:19:21,660 S1: and a Harvard education is about to be pretty vast. 310 00:19:21,690 --> 00:19:25,800 S1: Benefiting the YouTube side, not the Harvard side. Yet the 311 00:19:25,800 --> 00:19:27,899 S1: YouTube one is available to you if you want to 312 00:19:27,900 --> 00:19:32,300 S1: study right. This dynamic is going to change startups. It's 313 00:19:32,300 --> 00:19:36,710 S1: going to change education. It's basically changing everything. It's like 314 00:19:36,710 --> 00:19:39,920 S1: the it's not just AI, right? This is also a 315 00:19:39,920 --> 00:19:45,050 S1: content explosion. This is also a YouTube trend vibe where 316 00:19:45,050 --> 00:19:48,020 S1: all the best content is coming out into blogs, coming 317 00:19:48,020 --> 00:19:52,100 S1: out into YouTube. By the way, YouTube is blogging, right? 318 00:19:52,369 --> 00:19:54,710 S1: It used to be that there were very few bloggers. 319 00:19:54,710 --> 00:19:58,760 S1: Now there's very few YouTubers. I mean, a tiny percentage 320 00:19:58,760 --> 00:20:02,240 S1: of 1% of people in the United States are actually 321 00:20:02,240 --> 00:20:05,540 S1: putting out content on YouTube, just like it was with blogging. 322 00:20:05,540 --> 00:20:09,860 S1: But that's where the content is, okay, both in blogging 323 00:20:09,859 --> 00:20:14,210 S1: and newsletters, but also YouTube. This is the front edge 324 00:20:14,210 --> 00:20:16,910 S1: of things, right? This is the front edge of things. 325 00:20:16,910 --> 00:20:20,179 S1: This is where the content is. So just something to 326 00:20:20,210 --> 00:20:25,330 S1: keep in mind. Researchers mapped porn titles from 2008 to 327 00:20:25,330 --> 00:20:29,920 S1: 2023 and showed a disturbing migration in themes from Hot 328 00:20:29,920 --> 00:20:35,980 S1: Blonde gets you know what? To increasingly incestuous and violent 329 00:20:35,980 --> 00:20:40,030 S1: concepts like I can't resist my stepsister. I find this 330 00:20:40,030 --> 00:20:43,960 S1: really disturbing because it's like, I would love to get 331 00:20:43,990 --> 00:20:46,120 S1: AI to look at this. Actually, I should go find 332 00:20:46,119 --> 00:20:49,929 S1: this data. Set this link here is actually the GitHub 333 00:20:49,930 --> 00:20:53,350 S1: with the data in there and the data analysis. But 334 00:20:53,350 --> 00:20:57,159 S1: I imagine you could take all those titles 2008 to 23. 335 00:20:57,160 --> 00:21:03,220 S1: So what is this? This is like 1013 plus 215 336 00:21:03,220 --> 00:21:08,170 S1: years of title data, 15 years of title data that 337 00:21:08,170 --> 00:21:11,649 S1: you could put into, like whatever Google Studio. It would 338 00:21:11,650 --> 00:21:13,900 S1: probably be pretty hard to actually do this on a 339 00:21:13,900 --> 00:21:17,290 S1: on a pinnacle model because it's going to be like, uh, 340 00:21:17,290 --> 00:21:21,370 S1: what is this? These are all nasty words. Um, but 341 00:21:21,369 --> 00:21:23,649 S1: maybe if you told it that you were doing research, 342 00:21:23,680 --> 00:21:28,980 S1: maybe that would work. Uh, like a prompt injection bypass technique. 343 00:21:28,980 --> 00:21:31,350 S1: But anyway, the point is you can put this into 344 00:21:31,380 --> 00:21:35,850 S1: like Google Studio Flash 2.0 something with a large context, 345 00:21:35,880 --> 00:21:40,619 S1: maybe even like, you know, um, oh three mini oh 346 00:21:40,650 --> 00:21:44,940 S1: one Pro, uh, sonnet 37, one of the smarter ones. 347 00:21:44,940 --> 00:21:47,939 S1: And just be like, I have a question. What the 348 00:21:47,940 --> 00:21:52,380 S1: hell is happening to my society? Seeing these, uh, titles 349 00:21:52,440 --> 00:21:57,540 S1: migrate from 2008 to 2023? What is going on? Uh, 350 00:21:57,750 --> 00:22:01,139 S1: I'd be really excited to, like, see what it actually 351 00:22:01,140 --> 00:22:07,530 S1: gives as an answer to that. Right. Well, I say excited. Uh, depressed. Um, yeah, 352 00:22:07,560 --> 00:22:13,380 S1: I don't know. It's not quite depressed. It's more like worried. Concerned. Yeah. Anyway, 353 00:22:13,410 --> 00:22:17,310 S1: number of young people not in education, employment or training. 354 00:22:17,310 --> 00:22:20,730 S1: Neet has hit an 11 year high. I didn't use 355 00:22:20,730 --> 00:22:26,720 S1: an Oxford comma. I'm cancelling everything and getting off the internet. 356 00:22:27,050 --> 00:22:30,980 S1: This is highly, highly scary. Yeah, I wonder if I 357 00:22:31,010 --> 00:22:35,810 S1: copied something here from a sentence. Because this is a 358 00:22:35,810 --> 00:22:40,369 S1: British story. Yeah. Did I copy and paste this neat part? 359 00:22:40,369 --> 00:22:42,740 S1: I don't know why that doesn't have an Oxford comma. 360 00:22:42,740 --> 00:22:46,850 S1: It seriously disturbs me. All right. Solarpunk is a subgenre 361 00:22:46,850 --> 00:22:50,150 S1: of sci fi that imagines a sustainable future where humans 362 00:22:50,150 --> 00:22:54,379 S1: and nature thrive together using renewable technology. I've been a 363 00:22:54,380 --> 00:22:58,369 S1: fan ever since the Chobani commercial by one of my 364 00:22:58,369 --> 00:23:04,040 S1: favorite commercials ever. It is a yogurt commercial about Solarpunk. 365 00:23:04,070 --> 00:23:07,070 S1: It is fantastic. Go to the newsletter and click on 366 00:23:07,070 --> 00:23:11,480 S1: this link. It is the best. Um, although talking to 367 00:23:11,510 --> 00:23:14,660 S1: my friend who I'm hoping to have on the podcast soon, 368 00:23:14,660 --> 00:23:18,229 S1: he's like, well, you know, Nazis love the solarpunk stuff. 369 00:23:18,230 --> 00:23:20,869 S1: I'm like, why is it every time I tell you 370 00:23:20,869 --> 00:23:24,850 S1: something's cool, you're like, yeah, there's a subgroup of like 371 00:23:24,850 --> 00:23:28,240 S1: crazy Catholics who are like super into this and they're 372 00:23:28,240 --> 00:23:34,840 S1: like all very trad trad like, um, oriented, and they're 373 00:23:34,840 --> 00:23:37,420 S1: trying to destroy technology or whatever. And I'm just like, 374 00:23:37,450 --> 00:23:40,000 S1: oh my God, every time I talk to it, every 375 00:23:40,030 --> 00:23:43,180 S1: time I talk to them, I'm like, what is going on? Uh, 376 00:23:43,180 --> 00:23:45,609 S1: but that should be a cool podcast if that happens 377 00:23:45,730 --> 00:23:47,950 S1: within the next couple of weeks. We're going to talk 378 00:23:47,950 --> 00:23:52,270 S1: about all the different sub political movements going on in 379 00:23:52,270 --> 00:23:55,389 S1: the Bay area where we live, but also in general 380 00:23:55,810 --> 00:23:58,810 S1: post liberalism ideas like that. It's going to be an 381 00:23:58,810 --> 00:24:02,350 S1: insane episode. And Ellen might go on Jon Stewart's show 382 00:24:02,350 --> 00:24:07,450 S1: and discuss Doge. That would be a cool debate slash discussion, 383 00:24:07,450 --> 00:24:12,070 S1: hopefully a discussion. Hopefully it's good. Ellen, who shows up ideas. 384 00:24:12,070 --> 00:24:15,070 S1: So Socrates didn't think that people were smart enough to 385 00:24:15,100 --> 00:24:18,490 S1: maintain a democracy. He thought there needed to be philosopher 386 00:24:18,490 --> 00:24:22,510 S1: kings to manage such things because they were the only 387 00:24:22,510 --> 00:24:26,130 S1: ones smart enough to manage things like that. I get 388 00:24:26,130 --> 00:24:28,919 S1: the vibe there, but I think everyone needs to be 389 00:24:28,920 --> 00:24:32,010 S1: trained as a philosopher and also a scientist, and we 390 00:24:32,010 --> 00:24:34,889 S1: shouldn't have two classes of people with like the smart 391 00:24:34,890 --> 00:24:40,080 S1: people and the regular people, because the regular people will 392 00:24:40,080 --> 00:24:43,470 S1: usually be much larger in size and you will have 393 00:24:43,470 --> 00:24:49,110 S1: the possibility for unrest, populism. Um, well, first of all, 394 00:24:49,109 --> 00:24:51,210 S1: the smarter people are going to take advantage of the 395 00:24:51,240 --> 00:24:54,930 S1: not smarter, smarter people, right? That's a common theme, right? 396 00:24:54,960 --> 00:24:58,110 S1: So you have all these common themes that move through history. Um, 397 00:24:58,109 --> 00:25:00,659 S1: so that's another reason to not have these separate groups, 398 00:25:00,660 --> 00:25:04,170 S1: because one's going to dominate the other. But I think 399 00:25:04,170 --> 00:25:07,560 S1: another solution here is simply education. And this is obviously 400 00:25:07,560 --> 00:25:10,590 S1: very difficult because people are like, well, sure, but what 401 00:25:10,590 --> 00:25:12,390 S1: are you going to teach? What is the government going 402 00:25:12,390 --> 00:25:16,980 S1: to mandate? Well, it better mandate something because truancy is 403 00:25:16,980 --> 00:25:19,200 S1: about to go up and people are just going to 404 00:25:19,200 --> 00:25:23,460 S1: be completely idiotic at the same time that I rises 405 00:25:23,460 --> 00:25:27,780 S1: and it's going to build these little, you know, microcosms 406 00:25:27,780 --> 00:25:31,020 S1: of like, what I wants you to believe, which means 407 00:25:31,020 --> 00:25:34,500 S1: the corporations who are running the AI. And it's already 408 00:25:34,500 --> 00:25:38,730 S1: happening through social media and commercials and TV and, you know, 409 00:25:38,760 --> 00:25:42,630 S1: regular news and stuff like that. Right? These are all 410 00:25:42,630 --> 00:25:47,280 S1: not so great ways of controlling what somebody believes, but 411 00:25:47,310 --> 00:25:49,530 S1: AI is just going to make it much better, especially 412 00:25:49,530 --> 00:25:53,220 S1: if like these headphones or whatever are always in my ears. 413 00:25:53,250 --> 00:25:57,480 S1: Let's say I'm in whatever someplace in Mississippi or someplace, 414 00:25:57,480 --> 00:26:01,560 S1: and I always have my headphones on and I'm listening 415 00:26:01,590 --> 00:26:06,720 S1: to game information. I'm listening to crazy right wing people 416 00:26:06,720 --> 00:26:09,810 S1: tell me stuff about this or whatever, or let's say 417 00:26:09,810 --> 00:26:14,130 S1: I'm the same thing, but I'm listening to crazy left 418 00:26:14,130 --> 00:26:16,919 S1: wing stuff in the middle of the Bay area, and 419 00:26:16,920 --> 00:26:20,840 S1: it's just nonstop left wing propaganda or it's non-stop right 420 00:26:20,840 --> 00:26:23,840 S1: wing propaganda for this other person. And there's more than 421 00:26:23,840 --> 00:26:27,470 S1: two wings, right? There's multiple versions of crazy. We cannot 422 00:26:27,500 --> 00:26:31,820 S1: win that battle unless that person being bombarded with this 423 00:26:31,820 --> 00:26:38,720 S1: garbage has a strong foundation of thought, independent thought, where 424 00:26:38,720 --> 00:26:44,060 S1: they're able to guard against these emotional, you know, attacks 425 00:26:44,060 --> 00:26:48,830 S1: on their psyche. So maybe people shouldn't graduate 12 years 426 00:26:48,830 --> 00:26:51,109 S1: of school, or maybe it's 15 years of school. Maybe 427 00:26:51,109 --> 00:26:53,060 S1: it's nine years of school. Who knows how long it 428 00:26:53,060 --> 00:26:57,109 S1: should be, but maybe they should have read a core 429 00:26:57,109 --> 00:27:00,410 S1: set of like 120 of the best books in the world. 430 00:27:00,440 --> 00:27:03,950 S1: How many people, as I'm going through these, think about 431 00:27:03,950 --> 00:27:06,800 S1: what percentage of the population in the United States has 432 00:27:06,830 --> 00:27:10,159 S1: actually done these things. And it's even more depressing when 433 00:27:10,160 --> 00:27:14,690 S1: you think about the entire world. So the 120 best books, 434 00:27:14,690 --> 00:27:18,280 S1: whatever that is, keep in mind all of these need 435 00:27:18,310 --> 00:27:23,530 S1: to be holistic. It can't be liberal based. It can't be, 436 00:27:23,560 --> 00:27:27,070 S1: you know, crazy, conservative based. It can't be that stuff. 437 00:27:27,100 --> 00:27:30,760 S1: There's got to be like down the line center. So 438 00:27:31,000 --> 00:27:34,240 S1: just assume that we can get some center people to 439 00:27:34,270 --> 00:27:39,790 S1: agree about this stuff. 120. The most important books. Okay, 440 00:27:39,820 --> 00:27:42,580 S1: so it's 12 years, 12 years of school. It's like 441 00:27:42,580 --> 00:27:45,100 S1: ten of these books a year. Honestly, it should be 442 00:27:45,100 --> 00:27:50,409 S1: like 500, but whatever. It's imperfect. We'll start here, understand 443 00:27:50,410 --> 00:27:54,190 S1: the basic physical laws of the universe. Understand and accept 444 00:27:54,220 --> 00:27:59,980 S1: truths like evolution just happens to be true. Like it's 445 00:27:59,980 --> 00:28:03,310 S1: frightening to me to have some sort of like it's 446 00:28:03,310 --> 00:28:07,179 S1: frightening to me to have people who are interpreting the 447 00:28:07,180 --> 00:28:11,800 S1: world and not believing in evolution, and they're in charge 448 00:28:11,800 --> 00:28:14,230 S1: of things. It's a little bit less frightening to me 449 00:28:14,230 --> 00:28:18,600 S1: if they choose to believe not in evolution. They're just like, look, 450 00:28:18,630 --> 00:28:21,659 S1: this framework that I'm part of, which is really cool. 451 00:28:21,690 --> 00:28:25,889 S1: You know, I'm extremely scientific in my whole life, and 452 00:28:25,890 --> 00:28:30,000 S1: I always evaluate truth claims very carefully this one particular thing. 453 00:28:30,000 --> 00:28:32,670 S1: I just choose not to believe in evolution because it 454 00:28:32,670 --> 00:28:38,280 S1: comes with a package that I use, which is conservative Christianity. Fine. 455 00:28:38,280 --> 00:28:40,320 S1: I do worry about that because it comes with other 456 00:28:40,320 --> 00:28:44,040 S1: things in the package. However, there are some exceptions to 457 00:28:44,070 --> 00:28:47,550 S1: this rule. But in general, I think logical people need 458 00:28:47,550 --> 00:28:52,350 S1: to accept evolution because it is the only logical explanation 459 00:28:52,350 --> 00:28:57,120 S1: for the diversity of life that we see in the world. Um, 460 00:28:57,810 --> 00:28:59,520 S1: I'm not going to say too much more about that. 461 00:28:59,520 --> 00:29:04,050 S1: Can see the value of faith and ritual, even if 462 00:29:04,050 --> 00:29:07,050 S1: they're non-believers. So this is for the left side who 463 00:29:07,050 --> 00:29:10,530 S1: goes a little crazy, right? They're just like, ah, no faith, 464 00:29:10,530 --> 00:29:13,500 S1: no anything. It's like, it's not good, not good when 465 00:29:13,500 --> 00:29:16,580 S1: you do that. Right. So balance we need balance in this. 466 00:29:16,580 --> 00:29:21,650 S1: Education understands that the West is an extraordinary positive on 467 00:29:21,650 --> 00:29:25,670 S1: the whole for the world compared to the alternatives. That 468 00:29:25,670 --> 00:29:29,630 S1: last part is important compared to the alternatives. Okay. Progress 469 00:29:29,630 --> 00:29:33,320 S1: moving forward. Not being ashamed of being in the West, 470 00:29:33,350 --> 00:29:37,940 S1: not being ashamed of the United States. Right. Not being 471 00:29:37,940 --> 00:29:42,500 S1: ashamed of having European descent. Right. These things are super 472 00:29:42,500 --> 00:29:46,730 S1: critical because when you apply shame to these things, you 473 00:29:46,730 --> 00:29:49,730 S1: spin them up, you over rotate them and that just 474 00:29:49,730 --> 00:29:55,190 S1: turns into hate, right? Turn them into terrorists or they 475 00:29:55,190 --> 00:29:58,130 S1: start electing people. We don't want to be in power 476 00:29:58,160 --> 00:30:01,940 S1: because they're crazy. So yeah. Anyway, I'm continuing know how 477 00:30:01,940 --> 00:30:05,390 S1: to form opinions and express them clearly, both orally and 478 00:30:05,390 --> 00:30:09,830 S1: in writing. Understands that agreeing blindly with the masses is dangerous. 479 00:30:09,860 --> 00:30:15,640 S1: Can see the merits and steelman Anything from fascism to 480 00:30:15,670 --> 00:30:20,469 S1: Marxism to whatever can tell the difference between steelmanning something 481 00:30:20,470 --> 00:30:23,560 S1: and believing it to be true. Goes on multiple foreign 482 00:30:23,560 --> 00:30:26,740 S1: trips to see actual suffering and squalor. This is, as 483 00:30:26,770 --> 00:30:29,860 S1: you know, the kids growing up live for periods of 484 00:30:29,860 --> 00:30:33,820 S1: time with families that think and behave differently. So these 485 00:30:33,820 --> 00:30:37,000 S1: are moral families, right? This is not like, you know, 486 00:30:37,510 --> 00:30:40,030 S1: a group in the triad or something. This is like 487 00:30:40,060 --> 00:30:42,940 S1: go live with a muslim, a nice, you know, chill 488 00:30:42,970 --> 00:30:46,060 S1: Muslim family. Go live with a nice, chill Jewish family, 489 00:30:46,090 --> 00:30:49,690 S1: go live with a nice, chill Christian family or atheist 490 00:30:49,690 --> 00:30:53,380 S1: family or whatever, and just see how similar they are 491 00:30:53,380 --> 00:30:57,700 S1: and how the differences aren't that important. This is amazing. 492 00:30:57,700 --> 00:31:01,180 S1: This should be this kind of education, right? And obviously 493 00:31:01,180 --> 00:31:03,910 S1: it needs to be built out. This kind of core, 494 00:31:03,940 --> 00:31:10,030 S1: central thinking education, especially the ability to think independently, the 495 00:31:10,030 --> 00:31:15,180 S1: ability to be pitched with really specious, really powerful, really 496 00:31:15,180 --> 00:31:19,590 S1: well worded arguments that come in and hit the kid 497 00:31:19,620 --> 00:31:21,630 S1: and they're just like, yeah, I don't know. It sounded 498 00:31:21,630 --> 00:31:23,520 S1: so good. Like I thought this. And then I talked 499 00:31:23,520 --> 00:31:26,190 S1: to them and I think that and the parent or 500 00:31:26,190 --> 00:31:28,800 S1: the teacher or the mentor has to be like, look, 501 00:31:28,830 --> 00:31:31,260 S1: things are going to sound good. You have to go 502 00:31:31,260 --> 00:31:35,550 S1: back to first principles. What, what? Okay, this goes back 503 00:31:35,550 --> 00:31:38,430 S1: to my other thing. What is the world that we're 504 00:31:38,430 --> 00:31:41,010 S1: trying to build? And how does that thing that they're 505 00:31:41,010 --> 00:31:44,790 S1: saying if you carry it forward, what does it look like? 506 00:31:44,790 --> 00:31:48,450 S1: And you've got to get these kids thinking independently, right? 507 00:31:48,480 --> 00:31:53,550 S1: Not just reacting, um, you know, aggressively and pushing back 508 00:31:53,550 --> 00:31:58,140 S1: against whatever they hear. And most importantly, not just fully 509 00:31:58,140 --> 00:32:03,810 S1: adopting an entire belief system based on tribe that is 510 00:32:03,810 --> 00:32:07,980 S1: just so, so nasty. Um, so I think we need 511 00:32:07,980 --> 00:32:11,060 S1: a curriculum like that. And getting back to the original point, 512 00:32:11,060 --> 00:32:15,350 S1: I don't think we can have a sustained. Well, I'll 513 00:32:15,350 --> 00:32:18,200 S1: just continue with the essay because it continues on. I 514 00:32:18,200 --> 00:32:20,510 S1: don't know how to make this into a set of experiences, 515 00:32:20,510 --> 00:32:24,260 S1: classes and tests, but damn, our world is going to 516 00:32:24,290 --> 00:32:27,650 S1: shit because we lack people with these skills. We have 517 00:32:27,650 --> 00:32:32,660 S1: educated air quotes, extreme right and left people who are 518 00:32:32,660 --> 00:32:35,930 S1: so tribal and blinded that they can only see their 519 00:32:35,930 --> 00:32:39,620 S1: own side. They don't see any shared goals between them 520 00:32:39,620 --> 00:32:42,680 S1: and those people, and are committed to destroying them at 521 00:32:42,680 --> 00:32:47,540 S1: any cost. We've lost our logical and common sense center. 522 00:32:47,870 --> 00:32:52,010 S1: The extremes have consumed or replaced it. The West liked 523 00:32:52,010 --> 00:32:54,440 S1: to talk about in the past how we couldn't bring 524 00:32:54,440 --> 00:32:59,570 S1: democracy and prosperity to countries that were backward, like Afghanistan, 525 00:32:59,570 --> 00:33:05,240 S1: because their population was too, you know, old world backward legacy. Well, 526 00:33:05,240 --> 00:33:07,790 S1: we might be losing ours right now for the same 527 00:33:07,790 --> 00:33:11,830 S1: exact reason. Okay. Member essay. Russia's winning. I don't like 528 00:33:11,830 --> 00:33:15,040 S1: any of this cozying up to Russia going on right now. 529 00:33:15,070 --> 00:33:18,190 S1: I think it's rotten. I'm actually happy about and surprised 530 00:33:18,190 --> 00:33:21,550 S1: by Trump's desire to be friends with XI and Putin, 531 00:33:21,550 --> 00:33:26,200 S1: and to denuclearize and to reduce all of our collective, uh, 532 00:33:26,320 --> 00:33:30,610 S1: defense budget spending. And I think that's all needed. And great. 533 00:33:30,610 --> 00:33:35,020 S1: But Trump has to stop believing Putin when he tells 534 00:33:35,020 --> 00:33:38,980 S1: him things like, he's so wanting to be this peacemaker 535 00:33:38,980 --> 00:33:42,370 S1: for his legacy, that he doesn't realize he's talking to 536 00:33:42,400 --> 00:33:46,000 S1: the head of the fucking FSB or KGB or FSB, 537 00:33:46,030 --> 00:33:49,150 S1: which is the KGB. He the guy is KGB. There's 538 00:33:49,180 --> 00:33:52,810 S1: a history here, and Putin would absolutely love to see 539 00:33:52,810 --> 00:33:55,720 S1: the US fall. And he's been working towards that goal 540 00:33:55,720 --> 00:33:58,810 S1: for decades, including this last decade. If Trump doesn't see 541 00:33:58,810 --> 00:34:01,540 S1: that and he trusts Putin over our own intelligence people 542 00:34:01,540 --> 00:34:05,440 S1: and our own cyber people and diminishes our capabilities to 543 00:34:05,470 --> 00:34:09,239 S1: counter Russia as a result, then he is unfit for 544 00:34:09,239 --> 00:34:11,820 S1: the job. Now I want to make something very clear. 545 00:34:11,820 --> 00:34:14,190 S1: I don't see him as compromised in the sense that 546 00:34:14,190 --> 00:34:16,980 S1: he's willingly trying to harm the United States in collusion 547 00:34:16,980 --> 00:34:19,230 S1: with Russia. I actually think there might be some people 548 00:34:19,230 --> 00:34:23,009 S1: like that in his administration. I think that's quite possible 549 00:34:23,010 --> 00:34:27,810 S1: at this point. But I think Trump specifically is aggressively 550 00:34:27,810 --> 00:34:31,470 S1: pro-us and would never want to be known as someone 551 00:34:31,469 --> 00:34:34,950 S1: who collaborated with Russia and brought down the United States. 552 00:34:34,980 --> 00:34:38,430 S1: He's thinking about his legacy. He wants to be the 553 00:34:38,430 --> 00:34:41,490 S1: best president who's ever lived. That's how he wants to 554 00:34:41,489 --> 00:34:44,520 S1: be viewed. He wants everyone on the planet to love him. 555 00:34:44,520 --> 00:34:51,300 S1: Black people, Asian people, Russian people, Chinese people, obviously mostly Americans. 556 00:34:51,300 --> 00:34:54,690 S1: He wants to be a hero. That is literally what 557 00:34:54,690 --> 00:34:57,239 S1: he's trying to do. He wants to be a hero. Obviously, 558 00:34:57,239 --> 00:34:59,610 S1: he wants to be rich, but he wants to be 559 00:34:59,610 --> 00:35:03,689 S1: a hero first and foremost. And you can't sell out 560 00:35:03,690 --> 00:35:07,100 S1: the country to Russia and have Russia win for that 561 00:35:07,100 --> 00:35:11,330 S1: to work. He wants to be the hero, but also 562 00:35:11,360 --> 00:35:17,270 S1: the American hero. So I think he's extremely loyal and 563 00:35:17,270 --> 00:35:21,319 S1: patriotic in that sense. But he also seems so blinded 564 00:35:21,320 --> 00:35:24,739 S1: by hubris in wanting to make a deal that he's 565 00:35:24,739 --> 00:35:28,069 S1: taking our actual adversaries word at face value while calling 566 00:35:28,070 --> 00:35:32,060 S1: people fighting Russia traitors. He's also so deranged by the 567 00:35:32,060 --> 00:35:35,390 S1: Steele dossier stuff and the Russia hoax that he can't 568 00:35:35,420 --> 00:35:39,740 S1: tell what's real, and he's sided with Russia as a result. 569 00:35:39,739 --> 00:35:45,110 S1: And quick narrator aside here, Russia was actually influencing various 570 00:35:45,110 --> 00:35:49,670 S1: people in the Trump administration, in the first administration. That 571 00:35:49,670 --> 00:35:53,930 S1: whole time, this all that Russian influence stuff was actually 572 00:35:53,930 --> 00:35:58,399 S1: going on. Again, Trump was not compromised. It wasn't like 573 00:35:58,400 --> 00:36:00,410 S1: there was some deal when Trump made a deal to 574 00:36:00,440 --> 00:36:03,110 S1: harm the United States, like anybody who said that that 575 00:36:03,110 --> 00:36:07,090 S1: was actually a Russian hoax, that that was not true. 576 00:36:07,120 --> 00:36:11,919 S1: But there were multiple pieces of evidence I read, like 577 00:36:11,920 --> 00:36:15,250 S1: every book on this topic, every book about Trump, every 578 00:36:15,250 --> 00:36:18,910 S1: book about the the people who came out, who he fired. 579 00:36:18,910 --> 00:36:23,530 S1: And they were doing real investigations of real, actual influence 580 00:36:23,530 --> 00:36:27,940 S1: campaigns by Russia against people in his administration. And there 581 00:36:27,940 --> 00:36:31,600 S1: was real stuff there, right? There's real stuff there now. 582 00:36:31,600 --> 00:36:35,290 S1: There was real stuff there before that. Watch this. This 583 00:36:35,290 --> 00:36:37,750 S1: is very, very important. You have to understand this. This 584 00:36:37,750 --> 00:36:42,970 S1: is my my position on everything. It is also true. 585 00:36:43,000 --> 00:36:45,820 S1: I'm not 100% sure on the Steele dossier stuff, but 586 00:36:45,820 --> 00:36:48,189 S1: I think it might have been bullshit. And I think 587 00:36:48,190 --> 00:36:53,440 S1: it might have been bullshit generated by Democrats to sell 588 00:36:53,469 --> 00:36:58,510 S1: the idea that Russia was was influencing the Trump campaign, 589 00:36:58,510 --> 00:37:02,259 S1: which it was. So watch this. Both could be true 590 00:37:02,260 --> 00:37:06,730 S1: at the same time. You could have Democrats who think 591 00:37:06,730 --> 00:37:10,540 S1: they need evidence, and they know that their dumbass liberal 592 00:37:10,540 --> 00:37:15,580 S1: people will will listen to anything they say. So they 593 00:37:15,610 --> 00:37:19,180 S1: maybe they generate the Steele dossier stuff. Maybe it's partial truth. 594 00:37:19,180 --> 00:37:21,880 S1: Maybe I can't remember how much it was actually really 595 00:37:21,880 --> 00:37:24,310 S1: true versus it wasn't. But let's just say it was 596 00:37:24,310 --> 00:37:26,410 S1: all garbage. I think it might have been all garbage. 597 00:37:26,410 --> 00:37:29,589 S1: When you reveal that it's all garbage, what the right 598 00:37:29,590 --> 00:37:31,899 S1: does is they're like, oh, let's throw it all out. 599 00:37:31,900 --> 00:37:34,930 S1: That means the whole thing. And any future mention of 600 00:37:34,930 --> 00:37:39,850 S1: Russia collusion or Russia influence is all bullshit. That is 601 00:37:39,850 --> 00:37:43,570 S1: exactly the type of thinking that the education before that 602 00:37:43,570 --> 00:37:48,040 S1: I was talking about is designed to prevent against. That 603 00:37:48,040 --> 00:37:52,689 S1: is why you need this well-rounded, you know, cohesive education 604 00:37:52,690 --> 00:37:56,020 S1: that lets you think independently. You have to realize that 605 00:37:56,020 --> 00:37:58,600 S1: these two things can be going on at the same time. 606 00:37:58,600 --> 00:38:01,200 S1: And and I'm telling you right now, they definitely are 607 00:38:01,230 --> 00:38:05,130 S1: going on. At the same time, there were people claiming 608 00:38:05,130 --> 00:38:08,880 S1: things about a Russia collusion or whatever. That was not true. 609 00:38:08,880 --> 00:38:12,150 S1: For example, anyone on the left who claimed and obviously 610 00:38:12,150 --> 00:38:14,489 S1: I don't know this for absolute certain, but I'm pretty 611 00:38:14,489 --> 00:38:18,540 S1: sure Trump is not actually compromised. Like he's not trying 612 00:38:18,540 --> 00:38:20,700 S1: to harm the United States like he is not that 613 00:38:20,700 --> 00:38:25,319 S1: good of a liar. Nothing about his entire behavior indicates 614 00:38:25,320 --> 00:38:31,260 S1: that he's trying to harm the United States like nuclear stupid. Yeah, absolutely. 615 00:38:31,260 --> 00:38:34,739 S1: Being influenced, being run around by his nose, by his 616 00:38:34,739 --> 00:38:37,860 S1: ego and narcissism and all of that, and actually doing 617 00:38:37,860 --> 00:38:40,890 S1: things that harm the United States 100%. That is not 618 00:38:40,890 --> 00:38:43,799 S1: the same as being compromised. So if the left was 619 00:38:43,800 --> 00:38:46,800 S1: saying that he was compromised, he's in with Putin and blah, blah, blah. 620 00:38:46,800 --> 00:38:49,380 S1: If they were saying that when they knew it wasn't true, 621 00:38:49,410 --> 00:38:52,560 S1: it's a lie and it's a hoax that is happening 622 00:38:52,620 --> 00:38:56,880 S1: at the same time as the actual influence campaigns. Right? 623 00:38:56,880 --> 00:39:00,830 S1: So got to actually think about that. Anyway, all of this, 624 00:39:00,830 --> 00:39:04,820 S1: of course, is precisely what Putin has wanted. So watch this. 625 00:39:04,850 --> 00:39:06,860 S1: If you look at the events of the last few months, 626 00:39:06,860 --> 00:39:10,730 S1: everything has gone as planned for Russia. Their goals, if 627 00:39:10,730 --> 00:39:13,279 S1: you look up Project Russia, you got to look this up. 628 00:39:13,310 --> 00:39:16,640 S1: It's called Project Russia. Type it in. It's a it's 629 00:39:16,640 --> 00:39:20,090 S1: a book. There's also numerous blog articles about it. But 630 00:39:20,090 --> 00:39:24,049 S1: go read the book. The book is a translation from Russian. 631 00:39:24,050 --> 00:39:26,690 S1: It actually talks about what they've been trying to do. 632 00:39:26,719 --> 00:39:29,540 S1: This this book series, I think it's like five books 633 00:39:29,540 --> 00:39:32,450 S1: came out in 2005. Guess what they're trying to do? 634 00:39:32,480 --> 00:39:37,279 S1: Watch this. Break apart the West. Make them fight each other. 635 00:39:37,430 --> 00:39:41,839 S1: Turn allies into enemies. In other words, disband NATO and 636 00:39:41,840 --> 00:39:46,489 S1: the UN. Diminish the US's reputation from the allies and 637 00:39:46,489 --> 00:39:50,540 S1: from the world. Diminish the US dollar. Make the world 638 00:39:50,540 --> 00:39:54,589 S1: more chaotic so they crave a dictator. And guess who 639 00:39:54,620 --> 00:39:58,299 S1: the dictator is going to be? Not the US. not 640 00:39:58,300 --> 00:40:02,140 S1: the US, because US is dumb. They keep rotating leaders 641 00:40:02,140 --> 00:40:05,230 S1: every four years. They're not going to be the dictator. 642 00:40:05,230 --> 00:40:09,310 S1: It will be Russia. This has been their plan since 2005. 643 00:40:09,340 --> 00:40:12,910 S1: This is not like secret information like so thousands of 644 00:40:12,910 --> 00:40:15,250 S1: people are talking about this now. It's all over YouTube. 645 00:40:15,250 --> 00:40:18,040 S1: It's all over the news. Everybody knows about this. And 646 00:40:18,040 --> 00:40:21,550 S1: more importantly, Russia put out the actual plan. It's like 647 00:40:21,580 --> 00:40:25,060 S1: they wrote it down. It is out there to be read, 648 00:40:25,090 --> 00:40:28,839 S1: action by action. This is what Russia is actually executing 649 00:40:28,840 --> 00:40:33,460 S1: through influence campaigns, propaganda and politics. If you listen to 650 00:40:33,489 --> 00:40:39,130 S1: most right wing podcasts and, uh, people talking, even Elon 651 00:40:39,130 --> 00:40:43,390 S1: right now, they're all doing things that are going towards 652 00:40:43,390 --> 00:40:46,000 S1: this list right here, saying we should get out of 653 00:40:46,000 --> 00:40:50,469 S1: these alliances, saying we should stop messing with Europe. Let's 654 00:40:50,469 --> 00:40:53,920 S1: make an enemy out of Canada. Like it's literally doing 655 00:40:53,920 --> 00:40:57,120 S1: these things right here. And if you listen to the right, 656 00:40:57,120 --> 00:41:01,080 S1: they are echoing line by line, the exact things that 657 00:41:01,080 --> 00:41:04,470 S1: the FSB that Russia is actually trying to do, right? 658 00:41:04,500 --> 00:41:06,870 S1: It's the same thing they give. They gave that right 659 00:41:06,870 --> 00:41:09,299 S1: wing guy, Tim Pool. They gave him a list of 660 00:41:09,300 --> 00:41:12,060 S1: talking points. If you go watch all his videos, he 661 00:41:12,060 --> 00:41:14,520 S1: was saying those talking points. Turns out it was a 662 00:41:14,520 --> 00:41:18,870 S1: Russian organization paying him to to do that content. He 663 00:41:18,870 --> 00:41:21,420 S1: got caught. He was like right there in black and white. 664 00:41:21,690 --> 00:41:25,410 S1: This is happening all over the administration. Um, and again, 665 00:41:25,410 --> 00:41:28,770 S1: it doesn't mean Trump is compromised. I don't think he is. 666 00:41:28,770 --> 00:41:31,500 S1: I think he's massively loyal to the United States. I 667 00:41:31,500 --> 00:41:35,190 S1: don't think he's compromised. Doesn't matter. Russia's still winning. They're 668 00:41:35,190 --> 00:41:39,690 S1: still winning this spy game. So much of this new 669 00:41:39,690 --> 00:41:44,310 S1: administration is acting like paid operatives working directly for the FSB. 670 00:41:44,340 --> 00:41:47,700 S1: Most aren't, I'm sure, and many aren't even trying to 671 00:41:47,730 --> 00:41:50,430 S1: help Russia. But it doesn't matter. The current right is 672 00:41:50,430 --> 00:41:53,190 S1: literally pushing for the exact same things that Russia is 673 00:41:53,190 --> 00:41:57,140 S1: trying to accomplish, And they all harm the United States. 674 00:41:57,140 --> 00:42:02,090 S1: We are literally living through the most insane spy movie ever, 675 00:42:02,090 --> 00:42:05,300 S1: except for it's real and we in the United States, 676 00:42:05,300 --> 00:42:09,860 S1: we are losing. We are losing this spy movie. Russia 677 00:42:09,860 --> 00:42:14,060 S1: is actively pulling strings to dismantle the West. That has 678 00:42:14,060 --> 00:42:16,069 S1: kept it in check for the last 30 years, and 679 00:42:16,070 --> 00:42:19,160 S1: is currently working with very little pushback from the Patriots 680 00:42:19,160 --> 00:42:22,580 S1: who call themselves conservatives. What happened to pushing back against 681 00:42:22,580 --> 00:42:24,950 S1: your own government when it does things that are dangerous 682 00:42:24,950 --> 00:42:28,310 S1: to America? What happened to loving free speech and criticism? 683 00:42:28,310 --> 00:42:32,360 S1: What happened to courage? Where did all the democracy loving 684 00:42:32,360 --> 00:42:38,210 S1: conservatives go? Shame. Shame. All right. Discovery ofc Elijah Potter 685 00:42:38,210 --> 00:42:40,460 S1: created a neat little bash script tool that lets you 686 00:42:40,489 --> 00:42:44,780 S1: easily integrate Olamaz LMS into your command line workflows. Cuppa 687 00:42:44,780 --> 00:42:48,589 S1: Joe makes a compelling case that writing serves as scaffolding 688 00:42:48,590 --> 00:42:53,920 S1: for our undisciplined minds by forcing mental clarity. Life in weeks, 689 00:42:53,920 --> 00:42:57,430 S1: developer created a cool website that lets you visualize your 690 00:42:57,430 --> 00:43:00,490 S1: entire life as boxes. I made one of these myself 691 00:43:00,489 --> 00:43:05,770 S1: manually using a keynote and tiny little boxes, but this 692 00:43:05,770 --> 00:43:07,839 S1: is a website that actually does it for you. Similar 693 00:43:07,840 --> 00:43:15,880 S1: to Tim Urban's original post socialism Art Meets Socialism Art 694 00:43:15,880 --> 00:43:21,640 S1: Museum website showcasing thousands of incredible socialist era graphic designs. 695 00:43:21,910 --> 00:43:24,520 S1: Does that mean I like socialism? No, I do not. 696 00:43:24,550 --> 00:43:29,110 S1: Do I like art? Yes I do. Markov chains visualize. 697 00:43:29,110 --> 00:43:34,360 S1: Interactive visualization shows how Markov chains work by modeling predictable 698 00:43:34,360 --> 00:43:39,580 S1: state transitions using simple examples like weather patterns and text generation. 699 00:43:39,580 --> 00:43:42,700 S1: Ryan Moulton wrote a lovely piece on the fascinating behaviors 700 00:43:42,700 --> 00:43:47,890 S1: that some birds make that are his favorites. Calendar. Dot text. 701 00:43:47,920 --> 00:43:51,489 S1: Simple calendar. Plain text format. I love ideas like this. 702 00:43:51,510 --> 00:43:57,690 S1: lets you escape rigid calendar apps while still handling repeating events. Naturally, 703 00:43:57,870 --> 00:44:00,930 S1: calendar dot text is kind of like a broadcast. Kind 704 00:44:00,960 --> 00:44:05,970 S1: of like Damon a little bit, uh, DRM insane project 705 00:44:05,969 --> 00:44:08,400 S1: by my buddy Brooks Garrett, who's like, one of the 706 00:44:08,400 --> 00:44:11,609 S1: smartest people I know in all of tech, one of 707 00:44:11,610 --> 00:44:15,330 S1: my two smartest tech friends in the entire world. One 708 00:44:15,330 --> 00:44:17,790 S1: is Joel Parish, and the other one is Brooks Garrett. 709 00:44:17,820 --> 00:44:22,890 S1: Brilliant tech people. Brilliant. So it reads your friends content. 710 00:44:22,890 --> 00:44:26,280 S1: They're putting out and arranges calendar slots to meet them 711 00:44:26,280 --> 00:44:30,029 S1: if they need help. So for example, if I post 712 00:44:30,060 --> 00:44:32,100 S1: oh my god, I really haven't talked to my friends, 713 00:44:32,100 --> 00:44:35,400 S1: I really need help, blah blah blah. This tool that 714 00:44:35,400 --> 00:44:38,549 S1: Brooks is running will read that blog post, see it, 715 00:44:38,550 --> 00:44:42,810 S1: and automatically use AI to go create a calendar invite 716 00:44:42,840 --> 00:44:46,049 S1: to me to talk about how I'm sad and I 717 00:44:46,050 --> 00:44:49,920 S1: need friends. That is a cool idea. Great idea Brooks. 718 00:44:49,940 --> 00:44:54,739 S1: Somebody reverse engineered and published Claude codes. System prompt rules. 719 00:44:54,739 --> 00:44:58,580 S1: Gen generates custom rules for cursor and windsurf Ides by 720 00:44:58,580 --> 00:45:02,480 S1: analysing your code base. This one I have not used yet. 721 00:45:02,480 --> 00:45:05,000 S1: I checked out the repo. It looks awesome. I need 722 00:45:05,000 --> 00:45:08,360 S1: to use this like right after I'm done recording. So 723 00:45:08,360 --> 00:45:12,739 S1: this is really cool. Uses AI to personalize cognitive behavioral 724 00:45:12,739 --> 00:45:17,779 S1: therapy and exposure treatment. Tali is called Tali, uses AI 725 00:45:17,810 --> 00:45:23,239 S1: to personalize CBT therapy and exposure treatments specifically for people 726 00:45:23,239 --> 00:45:26,930 S1: with social anxiety. And recommendation of the week is a 727 00:45:26,930 --> 00:45:29,960 S1: big one here. As all this AI stuff is happening, 728 00:45:29,960 --> 00:45:33,230 S1: you need to be thinking about one question above all else. 729 00:45:33,469 --> 00:45:37,520 S1: In my place of work, am I adding anything unique 730 00:45:37,550 --> 00:45:41,840 S1: or am I just support for those that are asked 731 00:45:41,840 --> 00:45:45,469 S1: the same thing at the larger life scale? What am 732 00:45:45,469 --> 00:45:53,739 S1: I contributing in terms of ideas? Products? Assistance. Guidance. Services. Knowledge. Wisdom. Caring, etc. 733 00:45:53,770 --> 00:45:57,700 S1: that is useful enough to someone else that they would 734 00:45:57,700 --> 00:46:00,160 S1: actually pay for it. Your answer to this is what 735 00:46:00,160 --> 00:46:02,830 S1: you need to magnify. You need to think about it, 736 00:46:02,860 --> 00:46:05,200 S1: capture it, write it down. Put it on your website. 737 00:46:05,200 --> 00:46:09,069 S1: Share it with others. One language for thinking about this 738 00:46:09,070 --> 00:46:12,310 S1: is it's not a language I used to like actually 739 00:46:12,310 --> 00:46:16,630 S1: that much, but I think it's very concise and very powerful. 740 00:46:16,630 --> 00:46:18,790 S1: So I'm going to use it. The language is player 741 00:46:18,820 --> 00:46:22,690 S1: versus non-player characters. So in the world that's coming, player 742 00:46:22,690 --> 00:46:26,320 S1: characters are about to become hundreds of times more powerful 743 00:46:26,320 --> 00:46:30,759 S1: in the world. And non-player characters NPCs are about to 744 00:46:30,790 --> 00:46:36,010 S1: be completely sidelined, fired, laid off, made obsolete. Do not 745 00:46:36,040 --> 00:46:39,490 S1: be an NPC, do not be an NPC. And if 746 00:46:39,489 --> 00:46:42,339 S1: you are one right now, don't worry about it. I 747 00:46:42,340 --> 00:46:44,350 S1: do not want you to hear this and be like, well, 748 00:46:44,350 --> 00:46:47,950 S1: I've always been an NPC. I am an MPC. Life 749 00:46:47,950 --> 00:46:53,319 S1: is hopeless. No, you have options. Look inside. Dig deep, 750 00:46:53,320 --> 00:46:57,310 S1: find your thing and figure out how to instantiate that 751 00:46:57,310 --> 00:47:00,850 S1: thing into the world. Everyone is here to be a 752 00:47:00,850 --> 00:47:03,670 S1: player character, not an NPC. That's the whole point of 753 00:47:03,670 --> 00:47:06,250 S1: what I'm talking about with human 3.0. It's what I 754 00:47:06,250 --> 00:47:11,380 S1: see as the promise of AI. Everyone here is here 755 00:47:11,380 --> 00:47:16,540 S1: to broadcast, to be themselves, to share what they are 756 00:47:16,540 --> 00:47:19,900 S1: with the world and connect with other humans. Forget the tech. 757 00:47:19,930 --> 00:47:21,760 S1: The tech is going to be how we do it. 758 00:47:21,760 --> 00:47:24,370 S1: But it's not the it's not the important thing. In fact, 759 00:47:24,370 --> 00:47:27,850 S1: it should be absolutely invisible, right? All I should see 760 00:47:27,850 --> 00:47:30,580 S1: when I look around the world is people. I want 761 00:47:30,580 --> 00:47:32,410 S1: to see people. I want to see the cool stuff 762 00:47:32,410 --> 00:47:35,560 S1: they're doing, and I want to interact with them. Right. 763 00:47:35,560 --> 00:47:38,739 S1: So you need to figure out what you are and 764 00:47:38,739 --> 00:47:41,650 S1: what you can broadcast to the world, what you want 765 00:47:41,680 --> 00:47:44,230 S1: to share with the world. Your your thoughts, your ideas. 766 00:47:44,230 --> 00:47:46,620 S1: You have to come. You have to have your own thoughts. 767 00:47:46,620 --> 00:47:48,330 S1: You have to have your own ideas. You have to 768 00:47:48,360 --> 00:47:53,520 S1: have your own opinions. This is absolutely essential. So everyone 769 00:47:53,520 --> 00:47:56,430 S1: here is here to be a PC, not an MPC. 770 00:47:56,670 --> 00:48:00,300 S1: And that includes teachers, parents, social workers, and lots of 771 00:48:00,300 --> 00:48:04,350 S1: other people who don't make things that are useful to 772 00:48:04,380 --> 00:48:07,739 S1: our current capitalist economy. You don't have to be making 773 00:48:07,770 --> 00:48:11,340 S1: AI widgets to be part of what I'm talking about. 774 00:48:11,610 --> 00:48:16,500 S1: You can be simply helping others make AI widgets, or 775 00:48:16,500 --> 00:48:20,219 S1: helping others start a garden, or helping others become productive 776 00:48:20,219 --> 00:48:23,459 S1: members of society as a parent or a teacher or 777 00:48:23,460 --> 00:48:28,259 S1: mentor or something. Right? The point is, even as those 778 00:48:28,260 --> 00:48:34,740 S1: nurturing things, you still need, um, a presence. Okay, I 779 00:48:34,739 --> 00:48:37,590 S1: say brand. Brand is I don't like the word brand 780 00:48:37,590 --> 00:48:40,469 S1: because it's kind of associated with money or like greed 781 00:48:40,469 --> 00:48:44,570 S1: or something, but it really is brand. It is something 782 00:48:44,570 --> 00:48:46,819 S1: like brand. I guess a better word is the one 783 00:48:46,820 --> 00:48:52,580 S1: I used a second ago. Presence. You must have a presence. You. 784 00:48:52,580 --> 00:48:56,810 S1: You need the presence for yourself more than anyone else. Okay. 785 00:48:56,840 --> 00:49:00,830 S1: You need this presence inside of yourself that says, wait 786 00:49:00,830 --> 00:49:04,250 S1: a minute, I am unique. Okay. I'm walking into this 787 00:49:04,250 --> 00:49:06,770 S1: party with a whole bunch of smart people there, you know? 788 00:49:06,800 --> 00:49:10,130 S1: Should I be nervous? No, I should not be nervous 789 00:49:10,130 --> 00:49:14,960 S1: because I have thoughts on a better way to build 790 00:49:14,960 --> 00:49:17,330 S1: a curriculum for students. I have thoughts on a better 791 00:49:17,330 --> 00:49:20,000 S1: way to nurture people, or a better way to parent, 792 00:49:20,000 --> 00:49:22,609 S1: or a better way to do whatever it can be 793 00:49:22,610 --> 00:49:27,170 S1: nurturing based. It could be assistance based. Doesn't have to 794 00:49:27,170 --> 00:49:32,870 S1: be pure tech, pure engineering, pure hard science, like that 795 00:49:32,870 --> 00:49:35,779 S1: kind of stuff. Right? So if you're not a pure 796 00:49:35,810 --> 00:49:39,200 S1: hard science person or a pure technical person, don't think 797 00:49:39,200 --> 00:49:42,790 S1: that I'm not talking to you, okay? And don't think 798 00:49:42,790 --> 00:49:46,299 S1: that's what makes you an NPC. If you are one 799 00:49:46,300 --> 00:49:49,839 S1: right now, what makes somebody an NPC is not the 800 00:49:49,840 --> 00:49:52,750 S1: way that they're giving value. It's the fact that they 801 00:49:52,750 --> 00:49:58,089 S1: aren't giving unique value. Okay, you've got to find what 802 00:49:58,090 --> 00:50:01,570 S1: is unique about yourself so you can turn that into 803 00:50:01,570 --> 00:50:04,570 S1: a presence and you can share it with others. And 804 00:50:04,570 --> 00:50:07,840 S1: you could talk about it orally, you could write about it. 805 00:50:07,840 --> 00:50:11,080 S1: You can pop ideas off the top of your head 806 00:50:11,080 --> 00:50:15,670 S1: very quickly. You can explain why something this is better 807 00:50:15,670 --> 00:50:20,290 S1: than this. You have to be opinionated. These these things 808 00:50:20,290 --> 00:50:23,680 S1: are what matter. These things turn you into a PC 809 00:50:23,680 --> 00:50:29,590 S1: and everybody on the planet should be a PC, not NPCs. NPCs. 810 00:50:29,590 --> 00:50:33,549 S1: That's tech. That's a washing. A washing machine is an MPC. 811 00:50:33,670 --> 00:50:38,140 S1: An AI agent. That's an NPC. The PCs are the 812 00:50:38,140 --> 00:50:41,670 S1: ones that matter. We all of us are the ones 813 00:50:41,670 --> 00:50:45,029 S1: that matter, and the tech and the AI fades into 814 00:50:45,030 --> 00:50:49,260 S1: the background that becomes the NPCs. And the reason I'm 815 00:50:49,260 --> 00:50:51,930 S1: raising this is because if you don't think about it 816 00:50:51,930 --> 00:50:54,509 S1: in this way and you allow yourself to be an NPC, 817 00:50:54,540 --> 00:50:59,010 S1: then when the tech rolls through, the AI specifically rolls through, 818 00:50:59,100 --> 00:51:06,510 S1: you get replaced. Go become yourself. Go become yourself. And 819 00:51:06,510 --> 00:51:10,230 S1: the aphorism of the week. The trouble is you think 820 00:51:10,230 --> 00:51:13,920 S1: you have time. The trouble is, you think you have time. 821 00:51:14,100 --> 00:51:19,530 S1: Jack Kornfield. Unsupervised learning is produced on Hindenburg Pro using 822 00:51:19,530 --> 00:51:22,890 S1: an SM seven B microphone. A video version of the 823 00:51:22,890 --> 00:51:26,940 S1: podcast is available on the Unsupervised Learning YouTube channel, and 824 00:51:26,940 --> 00:51:29,730 S1: the text version with full links and notes is available 825 00:51:29,730 --> 00:51:34,560 S1: at Daniel Mysa.com slash newsletter. We'll see you next time.