WEBVTT - UL NO. 437: My List of Hard-won Life Lessons 0:00:00.140 --> 0:00:02.779 Are you prepared for whatever shitstorm may hit your desk 0:00:02.779 --> 0:00:05.540 during the workday? Auto Max has your back. Check out 0:00:05.540 --> 0:00:08.870 the brand new autonomous IT podcast. Listen in as various 0:00:08.869 --> 0:00:12.740 IT experts discuss the latest Patch Tuesday releases, mitigation tips, 0:00:12.740 --> 0:00:16.310 and custom automations to help with CVE remediations make new 0:00:16.310 --> 0:00:20.810 work friends. Listen now to the autonomous IT podcast on Spotify, Apple, 0:00:20.810 --> 0:00:25.340 or wherever you tune in to podcasts. Welcome to Unsupervised Learning, 0:00:25.340 --> 0:00:28.340 a security, AI, and meaning focused podcast that looks at 0:00:28.340 --> 0:00:31.340 how best to thrive as humans in a post AI world. 0:00:31.940 --> 0:00:35.930 It combines original ideas, analysis, and mental models to bring 0:00:35.930 --> 0:00:38.479 not just the news, but why it matters and how 0:00:38.479 --> 0:00:48.810 to respond. All right. Episode 437. What are we doing here? Okay, 0:00:48.810 --> 0:00:54.480 so I'm delivering my augmented AI course again live. And 0:00:54.480 --> 0:00:58.640 this is on July 26th. It's actually my birthday. And 0:00:58.640 --> 0:01:02.930 so that'll be next month. And the theme is moving 0:01:02.930 --> 0:01:06.170 towards human 3.0. How to survive and thrive in the 0:01:06.170 --> 0:01:11.670 world full of AI. And yeah, I got human 3.0 conversation, 0:01:11.670 --> 0:01:15.000 skill sets and mental frames, integrating AI into your life 0:01:15.000 --> 0:01:18.990 and work and a whole bunch of resources. Essentially, it's 0:01:18.990 --> 0:01:21.090 going to be a lot of hands on, actually showing 0:01:21.090 --> 0:01:24.780 you the way that I use AI and adding a 0:01:24.780 --> 0:01:29.459 whole new section above and beyond the previous class, which 0:01:29.459 --> 0:01:32.460 talks about how to basically get ready, what things do 0:01:32.459 --> 0:01:34.710 you actually have to learn. And a big part of 0:01:34.709 --> 0:01:36.959 this is so that you could tell the other people 0:01:36.959 --> 0:01:39.900 that you care about, especially young people like people in 0:01:39.900 --> 0:01:42.660 high school, people in about to go into college, people 0:01:42.660 --> 0:01:46.650 in college, or people changing careers who just have massive 0:01:46.650 --> 0:01:49.620 anxiety from all this AI stuff. This is basically going 0:01:49.620 --> 0:01:53.580 to give my outline of what I think is coming 0:01:53.580 --> 0:01:55.890 and how to get ready for it, like how to 0:01:55.890 --> 0:01:59.520 not just survive it, but actually be antifragile so that 0:01:59.520 --> 0:02:04.260 you actually benefit from it. So that is next month, 0:02:04.260 --> 0:02:07.200 the end of July. My friend Monica is launching her 0:02:07.200 --> 0:02:12.060 cybersecurity leadership Masterclass. Goes over tons of stuff, which I 0:02:12.060 --> 0:02:14.940 talk about here, and it's just a really good course. 0:02:14.940 --> 0:02:17.610 I think she really has a good perspective on this, 0:02:17.610 --> 0:02:19.020 and I got a link here to sign up for 0:02:19.020 --> 0:02:24.240 the class doing a webinar with Elastic Security. And that's 0:02:24.240 --> 0:02:28.410 coming up Tuesday, June 25th. And I changed some headers. 0:02:28.410 --> 0:02:31.560 Doesn't really matter. All right. My work. So few new 0:02:31.560 --> 0:02:34.560 essays this week. So the first one is talking about 0:02:34.560 --> 0:02:38.820 ratings and basically how I believe AI is going to 0:02:38.820 --> 0:02:43.260 basically do like this. This 123 punch one is teaching 0:02:43.260 --> 0:02:47.940 us things. Second is testing us to see how well 0:02:47.940 --> 0:02:50.400 we know that material. And the third one is giving 0:02:50.400 --> 0:02:53.820 these scores. And, uh, I think it's going to be 0:02:53.820 --> 0:02:56.489 really crazy. You should you should check out the whole post. 0:02:56.490 --> 0:02:59.250 This is the post here. And I basically talk about 0:02:59.250 --> 0:03:02.760 like the different scores. I talk about, like ways and 0:03:02.760 --> 0:03:06.090 components of the score that are going to be pretty crazy. 0:03:06.090 --> 0:03:10.649 And it starts to get a little bit scary, quite, 0:03:10.650 --> 0:03:13.890 quite a bit scary actually. Okay. Imagine you're walking around, 0:03:13.889 --> 0:03:17.010 you have like the score above your head because because 0:03:17.010 --> 0:03:18.600 it's not just going to be for a test that 0:03:18.600 --> 0:03:20.640 you took or whatever, right? It's also going to be 0:03:20.639 --> 0:03:24.000 for like, hey, instead of me having to vet every 0:03:24.000 --> 0:03:26.850 single person that I want to date or a college 0:03:26.850 --> 0:03:29.880 having to vet incoming people, why don't they just send 0:03:29.880 --> 0:03:33.960 you to do this Astra test, whatever that is? And 0:03:33.960 --> 0:03:36.240 this is some random company, a made up company, right? 0:03:36.240 --> 0:03:38.520 But they're going to get your blood work and they're 0:03:38.520 --> 0:03:42.540 going to do all of this, your personal life history there. 0:03:42.540 --> 0:03:45.660 And keep in mind this is an AI avatar asking 0:03:45.660 --> 0:03:49.170 you these things. There's a camera on you watching your 0:03:49.170 --> 0:03:52.380 facial expressions and your body language. And keep in mind, 0:03:52.380 --> 0:03:55.290 this is like GPT six or GPT seven or whatever. 0:03:55.290 --> 0:03:58.350 So it's like extremely advanced AI. So it could read 0:03:58.350 --> 0:04:00.510 your body language. It knows when you're lying, it knows 0:04:00.510 --> 0:04:03.450 when you're uncomfortable about a thing, but it's going to 0:04:03.450 --> 0:04:05.790 ask you about your traumas. It's going to ask you 0:04:05.790 --> 0:04:09.420 about your like, your beliefs about different things. It's going 0:04:09.420 --> 0:04:11.940 to ask you about morality. It's also going to test 0:04:11.940 --> 0:04:15.240 your technical skills, ask you to actually build things. It's 0:04:15.240 --> 0:04:18.660 going to deep dive into your opinions on like tons 0:04:18.660 --> 0:04:20.910 of different things. It's going to look at your base 0:04:20.910 --> 0:04:25.740 core knowledge, math, physics, biology, history, economics, all these other disciplines. 0:04:25.740 --> 0:04:29.220 It's basically going to understand like how smart you are, 0:04:29.250 --> 0:04:33.420 all the different stuff that you know, your maturity across 0:04:33.420 --> 0:04:37.770 lots of different areas like emotional maturity, your wisdom, things 0:04:37.770 --> 0:04:41.520 like that. And then it's going to ask about your finances. 0:04:41.520 --> 0:04:43.469 It's going to ask about like how much money do 0:04:43.470 --> 0:04:45.900 you make? What is your earning potential, why do you 0:04:45.900 --> 0:04:47.970 think you can make that much money, blah, blah, blah. 0:04:48.000 --> 0:04:50.880 All of that combined think of like a three day 0:04:50.880 --> 0:04:53.760 test where eight hours a day, you're talking to this 0:04:53.760 --> 0:04:56.789 AI avatar, and the whole time you're on camera and 0:04:56.790 --> 0:04:58.890 a lot of people are thinking, why would anyone sign 0:04:58.890 --> 0:05:01.890 up for that? The answer is because they want to 0:05:01.890 --> 0:05:05.370 know that about themselves. They also have some measure of 0:05:05.370 --> 0:05:07.800 trust that the videos aren't going to go out, but 0:05:07.800 --> 0:05:11.010 that which isn't going to happen. Those companies are absolute 0:05:11.160 --> 0:05:14.070 going to get hacked. Right? So that's that's a mess. 0:05:14.070 --> 0:05:16.350 But it doesn't it doesn't matter. Everyone's going to get 0:05:16.350 --> 0:05:18.690 hacked in this way. So it kind of just like 0:05:18.690 --> 0:05:21.990 that doesn't matter. So you have the videos, the AI 0:05:21.990 --> 0:05:25.230 does the analysis. And keep in mind, the AI knows 0:05:25.230 --> 0:05:29.700 everything about human psychology. It knows all the subject matter 0:05:29.700 --> 0:05:34.320 that you're talking about history, physics, you know, security, like 0:05:34.320 --> 0:05:37.050 all the different things that you're good at. It knows 0:05:37.050 --> 0:05:39.330 how good you are at it based on the fact 0:05:39.330 --> 0:05:42.030 that it did the the interview with you. So it's 0:05:42.029 --> 0:05:44.700 like taking you into deep water to see how deep 0:05:44.700 --> 0:05:48.900 you can go. Right? Well, now, now think of companies 0:05:48.900 --> 0:05:51.570 who want to hire somebody. They don't have to do 0:05:51.570 --> 0:05:55.740 all this deep vetting, deep vetting, a three day set 0:05:55.740 --> 0:05:58.529 of interviews, or a two week set of interviews with 0:05:58.529 --> 0:06:01.739 like five different groups of people. And they're asking like 0:06:01.740 --> 0:06:05.550 dumbass questions. That does not work. You see how bad 0:06:05.550 --> 0:06:09.310 people can be even after they go through the interview process. Okay. 0:06:09.310 --> 0:06:12.760 In current hiring methods, there's like a gauntlet of all 0:06:12.760 --> 0:06:17.230 these interviews. That gauntlet of interviews does not yield great 0:06:17.230 --> 0:06:21.039 people a high percentage of the time. It does sometimes, 0:06:21.040 --> 0:06:25.180 but not nearly as much as it actually should, given 0:06:25.180 --> 0:06:28.659 like how extensive that is. Now compare that with somebody 0:06:28.660 --> 0:06:32.409 who's like, hey, look, if you have an astro score, 0:06:32.440 --> 0:06:34.270 I would love for you to share it. You don't 0:06:34.270 --> 0:06:36.729 have to. We're not going to ask you to do it. 0:06:36.730 --> 0:06:43.029 But of course, hiring managers, companies assuming it's legal, that's 0:06:43.029 --> 0:06:44.560 going to be a problem. There's going to be some 0:06:44.560 --> 0:06:47.140 regulation against stuff like this, because it's going to be 0:06:47.140 --> 0:06:51.190 so good that it's going to instantly put great people way, 0:06:51.220 --> 0:06:54.940 way above. And because it's so good and it's because 0:06:54.940 --> 0:06:58.960 it's so merit meritocratic, there's going to be massive pushback. 0:06:58.960 --> 0:07:02.620 But I think that it's going to be so useful 0:07:02.620 --> 0:07:06.040 and so powerful for startups that they're going to do 0:07:06.040 --> 0:07:11.050 it anyway, especially this especially matters in a world of AI, 0:07:11.080 --> 0:07:14.770 because people are going to have much smaller teams. It's 0:07:14.770 --> 0:07:17.320 going to be like me, the founder, and I need 0:07:17.320 --> 0:07:21.130 a total, total badass to be like my chief of 0:07:21.130 --> 0:07:24.910 staff because they're going to run my 13 different companies, 0:07:24.910 --> 0:07:27.880 which are mostly AI powered. But I need a total 0:07:27.880 --> 0:07:30.520 killer to be that person, which means I need a 0:07:30.520 --> 0:07:35.740 high astro score specifically in like fluid intelligence, raw IQ, 0:07:35.740 --> 0:07:40.390 communication skills, like all these particular things. And what's crazy 0:07:40.390 --> 0:07:44.200 is I can describe in an interview to AI exactly 0:07:44.200 --> 0:07:46.690 what I need, exactly what my product does. In fact, 0:07:46.690 --> 0:07:48.970 the AI will just go get all that stuff. It 0:07:48.970 --> 0:07:51.400 will then understand that perfectly. Then it will look at 0:07:51.400 --> 0:07:56.440 someone's astro score and just basically find matches and be like, look, 0:07:56.440 --> 0:07:59.860 this person is pre-vetted. Their astro score perfectly matches I 0:07:59.860 --> 0:08:04.030 validated the Astro score is real, which Astro will also do. 0:08:04.030 --> 0:08:05.890 And by the way, Astro, this is a made up company. 0:08:05.890 --> 0:08:10.030 It's not real, but there will be many Astros. So 0:08:10.030 --> 0:08:13.240 now it's like hey, do you want to talk to them? Yeah, sure. 0:08:13.240 --> 0:08:15.880 So you get on a call with them and you're like, hey. Yeah. 0:08:15.880 --> 0:08:19.480 So I mean, the AI says that you're really good. 0:08:19.480 --> 0:08:24.070 My my da, my da. My personal digital assistant says, 0:08:24.070 --> 0:08:27.460 you seem to be really good on paper, which means 0:08:27.460 --> 0:08:30.280 through all this AI vetting. So you have a conversation 0:08:30.280 --> 0:08:33.460 and what do you know? You start talking about books. 0:08:33.460 --> 0:08:36.760 You start talking about what? The way you see the future, 0:08:36.760 --> 0:08:39.460 you start talking about ambition. And they're like, oh yeah, 0:08:39.460 --> 0:08:43.569 I'm reading those same books. I'm listening to those same podcasts. Yeah, 0:08:43.570 --> 0:08:45.760 I just worked out this morning and you're like, Holy crap, 0:08:45.760 --> 0:08:50.080 this person's just like me. Total badass. Yeah. Perfect match. 0:08:50.080 --> 0:08:53.290 What do you know? What are the odds? Quite good, actually. 0:08:53.290 --> 0:08:56.500 Quite good because of the Astro score. So now think 0:08:56.500 --> 0:09:02.199 of companies can just rely on the score. What about dating? Dating? Well, 0:09:02.200 --> 0:09:04.900 look at all these questionnaires people are filling out and 0:09:04.900 --> 0:09:07.600 they're not happy with the dates. And Astro score is 0:09:07.600 --> 0:09:10.000 going to be a way better measure of a person 0:09:10.000 --> 0:09:13.750 than this. And of course, there's going to be nasty 0:09:13.750 --> 0:09:16.959 gross astro scores. Keep in mind it's going to be like, oh, 0:09:16.960 --> 0:09:21.339 how pretty is this, this person, how rich is this person? 0:09:21.340 --> 0:09:24.579 And they're going to have like whatever, an Omni score 0:09:24.580 --> 0:09:29.320 and it's going to be like Douchebaggery score essentially. So 0:09:29.320 --> 0:09:32.770 you shouldn't think that just because it's AI generated that 0:09:32.770 --> 0:09:36.250 it's a good measure of a person. That's not true. 0:09:36.250 --> 0:09:39.370 What I'm talking about is something that's really deep across 0:09:39.370 --> 0:09:42.850 multiple facets of a person, where it actually is kind 0:09:42.850 --> 0:09:47.230 of capturing how good they are and how valuable they are, 0:09:47.230 --> 0:09:51.670 and importantly, how useful they are for a particular application, 0:09:51.670 --> 0:09:55.450 such as working inside this company, working on your particular problems, 0:09:55.450 --> 0:09:57.910 or if you're trying to build a family and you 0:09:57.910 --> 0:09:59.980 want to know, like how good of a dad is 0:09:59.980 --> 0:10:01.689 this person going to be? How good of a mom 0:10:01.690 --> 0:10:04.960 is this person going to be? Well, now it's focusing 0:10:04.960 --> 0:10:08.230 on those areas which were covered in the interview. The 0:10:08.230 --> 0:10:14.290 point is, many, many things in society require and desire 0:10:14.650 --> 0:10:18.699 to vet. This is universal vetting. That's what this is. 0:10:18.700 --> 0:10:22.300 This is universal vetting. You need to vet people to 0:10:22.300 --> 0:10:24.670 work on a company with you, to do a project 0:10:24.670 --> 0:10:27.670 with you, to be a babysitter for you, to be 0:10:27.670 --> 0:10:31.030 a dog sitter, for you to be a life partner. Right. 0:10:31.030 --> 0:10:34.840 So these types of scores, the better they are. Let's 0:10:34.840 --> 0:10:37.120 say this Astro one is the best one. It's like 0:10:37.120 --> 0:10:41.979 a seven day on site, in person talk with all 0:10:41.980 --> 0:10:45.250 these different eyes, and they're hitting you from different angles. 0:10:45.370 --> 0:10:48.490 They're watching you do jumping jacks. I mean, it's going 0:10:48.490 --> 0:10:50.319 to be crazy. Oh, by the way, you submitted a 0:10:50.320 --> 0:10:53.920 blood sample. Right now it's looking at your genome. Yeah, yeah. 0:10:53.920 --> 0:10:56.770 And that's why when I came up with the name, 0:10:56.770 --> 0:11:01.719 I used AI for that Astra. I forget what it means, but. Yeah. Uh, 0:11:01.720 --> 0:11:05.920 what's that movie with Ethan Hawke? What's the one where, like, 0:11:05.920 --> 0:11:09.630 the guy wasn't chosen to go on the. Flight anyway. 0:11:09.630 --> 0:11:14.580 It's dystopian. Okay, 100%. All this stuff is dystopian. All 0:11:14.580 --> 0:11:19.020 this awesome stuff is simultaneously dystopian. The question is, can 0:11:19.020 --> 0:11:22.260 we take it in good directions? Right. That's the only question. 0:11:22.260 --> 0:11:24.810 We know it's going to go in bad directions. That's 0:11:24.809 --> 0:11:27.570 a guarantee. I mean, have you seen humanity? Of course 0:11:27.570 --> 0:11:30.060 it's going to go in bad directions. The question is, 0:11:30.059 --> 0:11:32.819 can we limit some of those? Can we control some 0:11:32.820 --> 0:11:36.719 of those? Can we discourage some of those and steer 0:11:36.720 --> 0:11:41.130 them in positive like human 3.0 directions. Like ideally you 0:11:41.130 --> 0:11:44.160 would have something like an astro score that's super deep. 0:11:44.160 --> 0:11:47.850 It's super knowledgeable, but it's not like man, not as 0:11:47.850 --> 0:11:51.780 attractive man. Oh, there could be a flaw here. We 0:11:51.780 --> 0:11:55.440 don't talk to flawed people. A real astro score is 0:11:55.440 --> 0:11:57.959 going to be like, hey, this person is nuanced and 0:11:57.960 --> 0:12:02.040 this person has, you know, warts. And this person is like, 0:12:02.040 --> 0:12:06.240 flawed and and complex and multiple layers and blah, blah, blah. 0:12:06.240 --> 0:12:09.300 But I think at the core level, you guys could 0:12:09.300 --> 0:12:12.990 be soulmates. And here's the list of questions to like 0:12:12.990 --> 0:12:17.250 initiate that initial discovery period or whatever. It's not about perfection. 0:12:17.400 --> 0:12:19.559 Not in the human based world, not in the human 0:12:19.559 --> 0:12:22.260 3.0 based world. It's not based on perfection. It's based 0:12:22.260 --> 0:12:28.960 on deep matches. On the things that matter. And spending 0:12:28.960 --> 0:12:35.260 less time or getting confused by surface level things. He's 0:12:35.260 --> 0:12:38.590 very attractive. He's very rich. But you find out three 0:12:38.590 --> 0:12:42.550 years later, you know, he's in your mind. He's garbage, right? 0:12:42.550 --> 0:12:47.350 Because he doesn't treat you well like he treats people poorly. Right. 0:12:47.350 --> 0:12:50.080 And the whole thing that he postured with you was 0:12:50.080 --> 0:12:52.000 all an act, and you just wasted three years of 0:12:52.000 --> 0:12:54.040 your life, and you were supposed to be having kids 0:12:54.040 --> 0:12:56.800 by now. So, like, there's a positive way to go 0:12:56.800 --> 0:13:00.819 with this. And I think we need to realize, one, 0:13:00.820 --> 0:13:05.630 that there are positive opportunities to. Bad things are going 0:13:05.630 --> 0:13:08.750 to happen from these types of scores and not be 0:13:08.750 --> 0:13:12.290 confused in thinking that because bad things happen, mean the 0:13:12.290 --> 0:13:14.750 whole thing is a wash. First of all, doesn't matter 0:13:14.750 --> 0:13:16.790 if it's a wash because it's going to happen anyway. 0:13:16.970 --> 0:13:20.449 So either way you should be prepared. So lots of 0:13:20.450 --> 0:13:23.569 different ways to get value from this type of analysis. 0:13:23.840 --> 0:13:27.620 And here we are. We're we're like 15 20 minutes 0:13:27.620 --> 0:13:32.030 in or whatever ten 15 minutes in. And uh that 0:13:32.030 --> 0:13:36.559 was one essay okay. Next one the fast slow problem. 0:13:36.860 --> 0:13:38.540 You know what? This one's short enough. I'm going to 0:13:38.540 --> 0:13:43.130 go ahead and perform this one because that was called performing. Okay. 0:13:43.130 --> 0:13:46.370 So I've been obsessed lately with the concept of slow 0:13:46.370 --> 0:13:50.750 versus fast. I'm calling it the fast. Slow problem refers 0:13:50.750 --> 0:13:53.660 to the speed and amount of dopamine that you get 0:13:53.660 --> 0:13:56.330 from a thing. So in the distant past, an apple 0:13:56.330 --> 0:13:59.000 would have been a treat, and especially an apple pie 0:13:59.000 --> 0:14:02.180 because it took so long to prepare and enhance those 0:14:02.210 --> 0:14:05.630 apples which were by themselves not easy to come by. 0:14:05.630 --> 0:14:09.830 That's slow from the difficulty of finding the thing, and 0:14:09.830 --> 0:14:13.160 from the long process of creating an apple pie. A 0:14:13.160 --> 0:14:17.240 box of donuts, on the other hand, is fast. First 0:14:17.240 --> 0:14:19.490 of all, you could just walk in and say, give 0:14:19.490 --> 0:14:22.820 me a dozen donuts. And second of all, a donut 0:14:22.820 --> 0:14:27.230 has been engineered to taste better than a hundred crates 0:14:27.230 --> 0:14:29.990 of apples. So if you eat like six donuts, one 0:14:29.990 --> 0:14:32.840 after another and then you bite into an apple, it 0:14:32.840 --> 0:14:37.190 tastes like a 3D piece of like printed styrofoam. Like 0:14:37.190 --> 0:14:39.680 it just does not compare to a donut. And there's 0:14:39.680 --> 0:14:42.200 lots of other examples of this, like porn being the 0:14:42.200 --> 0:14:46.370 fast extracted version of sex, TikTok being the fast extracted 0:14:46.370 --> 0:14:49.910 version of reading a book or watching a movie. And 0:14:49.910 --> 0:14:54.200 I worry that this is what's happening with human relationships, 0:14:54.200 --> 0:14:57.109 like dating. They say that young people don't want to 0:14:57.110 --> 0:15:00.170 get into relationships or have sex with each other anymore, 0:15:00.170 --> 0:15:03.170 and evidently it's because they would rather do other things. 0:15:03.170 --> 0:15:07.040 And this feels very much like a fast, slow problem. 0:15:07.040 --> 0:15:11.450 What if this is as simple as teenagers and young 0:15:11.450 --> 0:15:14.660 adults having more fast options on their phones and TVs, 0:15:14.660 --> 0:15:17.450 and they are so good that the slow options of 0:15:17.450 --> 0:15:22.610 companionship and relationships simply cannot compete. It's one thing when 0:15:22.610 --> 0:15:25.940 a donut competes with an apple, but in this case, 0:15:25.940 --> 0:15:29.300 the fast versus slow problem might actually be affecting the 0:15:29.300 --> 0:15:32.270 future of the species. I'm not sure what the complete 0:15:32.270 --> 0:15:34.910 answer is here, because I'm sure there are places where 0:15:34.940 --> 0:15:39.080 fast versions are simply better, and not just faster. But 0:15:39.080 --> 0:15:40.880 what I do know is that I think we should 0:15:40.880 --> 0:15:45.230 start being very cautious about replacing slow versions of things 0:15:45.260 --> 0:15:50.360 with the fast versions of things. There is meaning in 0:15:50.360 --> 0:15:55.280 doing things slowly. Slow walks while holding hands. Reading physical 0:15:55.280 --> 0:15:59.960 books in natural light and making apple pies from scratch. 0:15:59.960 --> 0:16:02.420 I think we should do our best to figure out 0:16:02.420 --> 0:16:06.050 what those slow, meaningful things are and ensure that we 0:16:06.050 --> 0:16:09.410 keep as many of them in our lives as possible. 0:16:09.410 --> 0:16:13.280 That was that one. All right list of hard won 0:16:13.280 --> 0:16:15.890 life lessons. I think I'm going to do a separate 0:16:15.890 --> 0:16:20.720 one for this, but essentially it's a list of pretty 0:16:20.720 --> 0:16:25.130 decent wisdom here. Yeah, I'll give you one. In practice, 0:16:25.130 --> 0:16:29.900 weak people behave very similarly to evil people. Don't tie 0:16:29.900 --> 0:16:33.050 yourself to either. So that's the vibe there. It's a 0:16:33.050 --> 0:16:35.450 whole bunch of those. So I do want to move 0:16:35.450 --> 0:16:37.490 to a model where I support a lot more of 0:16:37.490 --> 0:16:42.050 my work with memberships, courses and revenue from apps that 0:16:42.050 --> 0:16:45.860 I'm building. So I would love for you all to 0:16:45.860 --> 0:16:49.790 actually subscribe and become members of UL. So you just 0:16:49.790 --> 0:16:54.800 go to Daniel meister.com/upgrade and you can become a member. 0:16:54.800 --> 0:16:57.830 And there's just so many benefits. The biggest one is 0:16:57.830 --> 0:17:01.130 the actual community, which it's just the most amazing people 0:17:01.130 --> 0:17:03.830 that I've ever met. It's uh it's great. We got 0:17:03.830 --> 0:17:08.480 a book club, monthly meetups, significant discounts. So I that 0:17:08.480 --> 0:17:11.450 augmented course that's going to be $200 off if you 0:17:11.450 --> 0:17:13.909 become a member. And guess what? Becoming a member is 0:17:13.910 --> 0:17:16.940 only 100 bucks a year. So you kind of like 0:17:16.940 --> 0:17:19.550 make up for it instantly. And there's just a whole 0:17:19.550 --> 0:17:22.159 bunch of other stuff. We actually have physical meetups. It's 0:17:22.160 --> 0:17:26.210 pretty cool. All right. Stories House just passed a bill 0:17:26.210 --> 0:17:32.270 that bans DJI drones from using FCC frequencies. Disgruntled ex-employee 0:17:32.270 --> 0:17:37.669 costs over $600,000 by deleting 180 test servers. Using a 0:17:37.670 --> 0:17:40.520 script that he found on Google, Wells Fargo fired over 0:17:40.520 --> 0:17:45.859 a dozen employees for faking keyboard activity to look busy. Yeah, 0:17:46.460 --> 0:17:50.510 AWS has added Fido Passkeys for MFA, and root users 0:17:50.510 --> 0:17:54.409 must enable this by July of 2024. I love this, 0:17:54.410 --> 0:17:59.179 I don't think there's anything better recently for security than passkeys. 0:17:59.180 --> 0:18:02.390 Like maybe the like the last ten years. Like it's 0:18:02.390 --> 0:18:05.270 just really good. New York Times source code was stolen 0:18:05.270 --> 0:18:09.199 using an exposed GitHub token like this is an older story. 0:18:09.200 --> 0:18:12.500 Maybe it happened again. iOS 18 will let you automatically 0:18:12.500 --> 0:18:16.040 record and transcribe phone calls through the phone app. I 0:18:16.040 --> 0:18:19.070 have the beta. I need to get that going. Thanks 0:18:19.070 --> 0:18:23.810 to a project discovery for sponsoring, Canada is proposing potentially 0:18:23.810 --> 0:18:28.370 life in prison for hate speech, and maybe even preemptively 0:18:28.369 --> 0:18:32.150 restrict their freedom based on anticipated crimes. Based on what 0:18:32.150 --> 0:18:35.060 I saw happen to Jordan Peterson, who I'm not a 0:18:35.060 --> 0:18:39.290 complete fan of, by the way, especially lately. But what 0:18:39.290 --> 0:18:42.590 I saw that Canada did to him, not a huge 0:18:42.590 --> 0:18:47.600 fan linked out. LinkedIn is rolling out AI career coaches. Yeah, 0:18:47.600 --> 0:18:50.000 see my essay above on the Astro scores. That's what 0:18:50.000 --> 0:18:54.500 we just talked about. AI and LMS are transforming cyber insurance. Yeah, 0:18:54.500 --> 0:18:56.450 I really needed to do a whole piece on this. 0:18:56.450 --> 0:19:00.950 But real time risk adjustments and pricing adjustments based on 0:19:00.950 --> 0:19:05.720 that risk I plus insurance. Yeah that's spicy. It's going 0:19:05.720 --> 0:19:07.610 to be good. And when I say good I mean 0:19:07.609 --> 0:19:10.850 good for insurance companies. Scale came out with a controversial 0:19:10.850 --> 0:19:14.990 stance that they will hire on merit and merit alone. 0:19:14.990 --> 0:19:19.310 This thing is worth reading. Okay, skip that one. Tesla 0:19:19.310 --> 0:19:24.740 shareholders have backed Elon Musk's $56 billion pay package. Got 0:19:24.740 --> 0:19:27.980 two things here where I left the subtitle in there 0:19:27.980 --> 0:19:31.980 do not like. Okay. Yeah. So they basically approved $56 0:19:31.980 --> 0:19:36.080 billion pay package. This feels very Atlas Shrugged to me. 0:19:36.080 --> 0:19:39.920 Basically give the actual builders anything they want because there's 0:19:39.920 --> 0:19:42.740 so few of them left and they're so special. I 0:19:42.740 --> 0:19:46.939 really like how it's like pro entrepreneur, but I feel 0:19:46.940 --> 0:19:50.180 like it comes with a lot of toxicity. Like give 0:19:50.210 --> 0:19:53.990 Buck Reinhold a harem because Buck deserves it and there's 0:19:53.990 --> 0:19:57.050 cheering in the background. I think we need like a 0:19:57.050 --> 0:20:03.889 healthy hybrid, right where we have this massive respect for founders, builders, creators, entrepreneurs. 0:20:03.890 --> 0:20:08.359 But we build in the assumption that, look, it's not 0:20:08.359 --> 0:20:12.469 just the 1%, they're not special people. Why isn't everyone 0:20:12.470 --> 0:20:15.830 doing that? And that's what that's what human 3.0 is, 0:20:15.859 --> 0:20:19.730 is getting everyone into this category. So guess what? There's 0:20:19.730 --> 0:20:22.969 no more God complexes because everyone's supposed to be that way. Yeah, 0:20:23.000 --> 0:20:27.020 great timing for this one. Evidently, Musk has had sexual 0:20:27.020 --> 0:20:32.119 relationships with multiple SpaceX employees, including a former intern, which 0:20:32.119 --> 0:20:34.790 he hired on to his executive team. And this is 0:20:34.790 --> 0:20:38.840 according to Wall Street Journal. Now, yeah, I got complex 0:20:38.840 --> 0:20:43.280 thoughts on this. I think radical honesty and like voicing 0:20:43.280 --> 0:20:46.310 your desire to be with somebody, all of that is like, 0:20:46.310 --> 0:20:49.450 I think Musk is actually doing that better than. Most people. 0:20:49.450 --> 0:20:53.409 The problem is he works with these people. Right. So 0:20:54.160 --> 0:20:57.280 I've got a fake example here. Julie, great work on 0:20:57.280 --> 0:21:01.240 the Montague project I admire you. You should have my babies. 0:21:03.310 --> 0:21:05.020 And keep in mind, this is not a real quote, 0:21:05.020 --> 0:21:08.770 but this is kind of the vibe, right? This would 0:21:08.770 --> 0:21:12.699 be wrong if nothing happened from it. Because even if 0:21:12.700 --> 0:21:15.250 that worked out, if that conversation worked out, her career 0:21:15.250 --> 0:21:18.760 was great. His career was great. Like no problems. It 0:21:18.760 --> 0:21:21.460 would still be wrong because it has so many chances 0:21:21.460 --> 0:21:25.180 of going wrong. And this is why this is not allowed, 0:21:25.420 --> 0:21:28.540 because the the allegation here, which nobody knows if this 0:21:28.540 --> 0:21:31.030 is true, but the allegation is that, uh, some of 0:21:31.030 --> 0:21:35.350 the women supposedly said that they were given this offer, 0:21:35.350 --> 0:21:38.530 they declined, and then they got screwed because of it. Right? 0:21:38.530 --> 0:21:41.500 They didn't get the promotion, they got fired. Whatever. Whatever 0:21:41.500 --> 0:21:44.530 the case was that's being alleged. All right. California has 0:21:44.530 --> 0:21:47.590 the biggest wage gap in the US. This seems to 0:21:47.590 --> 0:21:50.650 make sense to me. It's like it's the most extreme 0:21:50.650 --> 0:21:52.300 version of a big city. So you're going to have 0:21:52.300 --> 0:21:55.209 higher highs and lower lows. So that makes sense. We 0:21:55.210 --> 0:21:59.200 just broke ground on America's first next gen nuclear facility. 0:21:59.200 --> 0:22:01.930 And this is a piece by Bill gates. Uh, really 0:22:01.930 --> 0:22:04.660 cool to see him working on energy the way he is. 0:22:04.660 --> 0:22:09.910 Russia replaced the dollar and the euro with the Chinese currency, 0:22:09.910 --> 0:22:14.200 the yuan yuan, yuan, something like that. There's a fungus 0:22:14.200 --> 0:22:18.429 that can eat plastic. I'm worried. What else it can eat? 0:22:18.430 --> 0:22:20.290 That's just me. Apple left out a lot of the 0:22:20.290 --> 0:22:26.230 small updates in, uh, WWDC keynote, so. Oh, I already 0:22:26.230 --> 0:22:30.669 used this. So I speak Spanish pretty well, and I 0:22:30.700 --> 0:22:34.540 type in Spanish a lot, and it's not auto correcting me. 0:22:34.540 --> 0:22:38.409 It's letting me type in Spanish mixed with English. Absolutely 0:22:38.410 --> 0:22:41.800 love it. So that must be already turned on. Flashlight 0:22:41.800 --> 0:22:47.000 app has new animations. Widgets are easier to resize. The 0:22:47.000 --> 0:22:51.260 Vision Pro shows your keyboard in VR, and Mac OS 0:22:51.470 --> 0:22:56.330 has some new nostalgic wallpapers. Apple Vision Pro lets you 0:22:56.330 --> 0:22:59.270 watch House of the Dragon, which is the new Game 0:22:59.270 --> 0:23:04.940 of Thrones thing, in an updated, immersive Iron Throne room environment. 0:23:05.270 --> 0:23:09.740 Spatial personas envision two I just updated mine and recorded 0:23:09.740 --> 0:23:13.010 a new persona. Someone wants a FaceTime? Let me know. 0:23:13.010 --> 0:23:15.649 And got an argument here that Jupyter notebooks are the 0:23:15.650 --> 0:23:19.430 fast food of coding. Convenient but often unhealthy for long 0:23:19.430 --> 0:23:24.440 term projects. And Jensen Huang told Caltech grads to pursue 0:23:24.470 --> 0:23:27.919 $0 billion markets, which are markets with no current value 0:23:27.920 --> 0:23:30.859 but huge future potential. And I just figured out what 0:23:30.859 --> 0:23:33.650 I love so much about Jensen. He's like a permanently 0:23:33.650 --> 0:23:37.129 nice version of Elon and we've all seen Elon be nice. 0:23:37.130 --> 0:23:40.940 I actually love Elon. I think he's amazing when I 0:23:40.940 --> 0:23:44.869 see him talk about space or the future or saving humanity. 0:23:44.869 --> 0:23:47.960 I'm like this guy is literally my hero. Then I 0:23:47.960 --> 0:23:51.260 see him posting memes on Twitter about politics and I'm like. 0:23:51.880 --> 0:23:56.440 Do not be this person. Do not let people make 0:23:56.440 --> 0:23:59.560 you into this person. And I get very angry at him. 0:23:59.560 --> 0:24:02.290 So it's great to see that you can have like 0:24:02.290 --> 0:24:07.970 an Elan type, like an Atlas shrug type. Who's also nice. 0:24:08.000 --> 0:24:12.290 It's amazing. Got someone predicting that generative AI will actually 0:24:12.290 --> 0:24:15.320 increase the demand for software engineers over the next 20 years, 0:24:15.320 --> 0:24:18.890 not decrease it. I think there's some validity to that. 0:24:18.890 --> 0:24:21.560 I think we'll also decrease it, but also increase. The 0:24:21.560 --> 0:24:25.220 question is which one wins out? I think probably increase 0:24:25.220 --> 0:24:28.129 wins out in the beginning, widely held view that sperm 0:24:28.130 --> 0:24:30.170 counts and men are dropping around the world may be 0:24:30.170 --> 0:24:34.730 wrong in according to a new study and University of Manchester. 0:24:34.730 --> 0:24:37.430 So I tend to go by the quality of these 0:24:37.430 --> 0:24:41.840 things to determine if I include it or not. And 0:24:41.840 --> 0:24:43.610 if I really want to look, I run it through 0:24:43.609 --> 0:24:47.750 fabric and see like how it scores the paper. Curiosity 0:24:47.750 --> 0:24:52.700 Yeah argues that perfectionism is about optimizing at the wrong scale. 0:24:52.850 --> 0:24:55.939 I love that, I love that statement. I love the sentence. 0:24:55.940 --> 0:25:00.260 Perfection is about optimizing at the wrong scale. This reminds 0:25:00.260 --> 0:25:03.229 me of another thing that I really love. The worst 0:25:03.230 --> 0:25:06.170 way to lose is to win at the wrong game. 0:25:06.500 --> 0:25:11.100 And that's what this reminds me of. Perfectionism. Perfectionism is 0:25:11.100 --> 0:25:14.670 optimizing at the wrong scale. Love it. 38% of web 0:25:14.670 --> 0:25:20.379 pages that existed in 2013 are no longer accessible. Derek 0:25:20.380 --> 0:25:23.950 Sivers explains why you should create a now page. I've 0:25:23.950 --> 0:25:26.409 been doing this for a long time. I don't currently 0:25:26.410 --> 0:25:28.810 have one up. That's because I'm going to have it 0:25:28.810 --> 0:25:32.080 in my personal API soon, which will be all AI powered. 0:25:32.080 --> 0:25:35.770 Basically a Da going to be cool stuff that's going 0:25:35.770 --> 0:25:37.810 to take a little bit longer. I'm not actively working 0:25:37.810 --> 0:25:40.600 on it yet. Waiting for the tech to evolve a 0:25:40.600 --> 0:25:44.470 few more months. Okay, ideas. Increased production of goods and 0:25:44.470 --> 0:25:48.609 services after AI, and how does that make sense if 90% 0:25:48.609 --> 0:25:50.950 of people don't have money to buy the stuff? So 0:25:50.950 --> 0:25:54.040 I'm talking about the economics there. Got someone arguing that 0:25:54.040 --> 0:25:56.290 in a world dominated by AI and robots, the key 0:25:56.290 --> 0:26:00.250 to human survival isn't being smarter, but being more mediocre. 0:26:00.280 --> 0:26:06.610 I included it just because I like alternative views. Pop cultures, oligopoly, 0:26:06.609 --> 0:26:10.119 dream machine, AI model. Yeah, lumen labs, this thing's blowing up. 0:26:10.119 --> 0:26:15.369 Nvidia Warp Infinite content ideas generator can now design and 0:26:15.369 --> 0:26:20.740 manufacture your own chips. LM Mojo Olama new version enhanced 0:26:20.770 --> 0:26:26.440 GPU discovery SQLite is likely the most used database engine. 0:26:26.440 --> 0:26:29.920 Pretty cool argument there. There's a new Starlink coming out, 0:26:29.920 --> 0:26:32.560 a tiny one that's really good for like camping and 0:26:32.560 --> 0:26:36.520 RVs and stuff. And, uh, Max lighter has a simple 0:26:36.520 --> 0:26:39.609 but powerful tip ship something every day. Doesn't have to 0:26:39.609 --> 0:26:42.250 be big, just something you can point to. Recommendation of 0:26:42.250 --> 0:26:44.950 the week. I recommend you check out my list of 0:26:44.950 --> 0:26:47.590 hard won life lessons I was talking about earlier. The 0:26:47.590 --> 0:26:50.260 full list is pretty good, and the aphorism of the week. 0:26:50.260 --> 0:26:53.020 The sad truth is that most evil is done by 0:26:53.020 --> 0:26:55.570 people who never make up their minds to be good 0:26:55.570 --> 0:26:59.020 or evil. The sad truth is that most evil is 0:26:59.020 --> 0:27:02.020 done by people who never make up their minds to 0:27:02.020 --> 0:27:07.129 be good or evil. Hannah Arendt. Unsupervised Learning is produced 0:27:07.130 --> 0:27:10.160 and edited by Daniel Meisler on a Neumann U87 AI 0:27:10.160 --> 0:27:14.450 microphone using Hindenburg. Intro and outro music is by zombie 0:27:14.450 --> 0:27:17.420 with the why and to get the text and links 0:27:17.420 --> 0:27:19.639 from this episode, sign up for the newsletter version of 0:27:19.640 --> 0:27:25.200 the show at Daniel meisler.com/newsletter. We'll see you next time.