1 00:00:18,987 --> 00:00:23,307 S1: All right. Welcome to unsupervised learning. This is Daniel. All right. 2 00:00:23,307 --> 00:00:26,747 S1: So I found the best coffee recipe basically in existence. 3 00:00:26,987 --> 00:00:30,067 S1: And a whole bunch of baristas are super freaking out 4 00:00:30,067 --> 00:00:36,346 S1: about this. So excited. And this is the guy I 5 00:00:36,347 --> 00:00:42,867 S1: think he's invented, like, a whole bunch of really popular recipes. 6 00:00:43,387 --> 00:00:47,947 S1: And I think he's kind of famous for the Hario 7 00:00:47,947 --> 00:00:53,027 S1: switch as well. But anyway, he's got a new recipe 8 00:00:53,027 --> 00:00:55,867 S1: that is just unbelievable. And I have tried it three 9 00:00:55,867 --> 00:01:00,147 S1: times so far, and it's worked perfectly all three times, 10 00:01:00,147 --> 00:01:04,187 S1: and I've not even executed it properly, except for maybe once. 11 00:01:04,547 --> 00:01:08,307 S1: And that time was even better. But I was having 12 00:01:08,307 --> 00:01:13,107 S1: problems with like inconsistent, like coffee quality, which I think 13 00:01:13,107 --> 00:01:16,646 S1: is a in terms of the cup, not the coffee 14 00:01:16,647 --> 00:01:20,527 S1: going in. He basically says that this can make any 15 00:01:20,527 --> 00:01:26,727 S1: being taste amazing and I honestly believe him. It is really, 16 00:01:26,727 --> 00:01:30,687 S1: really that good. So I highly recommend you check this 17 00:01:30,687 --> 00:01:34,887 S1: thing out. I'll tell you really quickly what it is. 18 00:01:35,287 --> 00:01:42,767 S1: It's basically a combination of pour over and, uh, immersion. Okay. 19 00:01:42,807 --> 00:01:44,927 S1: So basically what you do is you do like a 20 00:01:44,927 --> 00:01:51,447 S1: 32nd steep with the hario switch closed. Then you do 21 00:01:51,447 --> 00:01:55,087 S1: a pour over where it actually goes through for a 22 00:01:55,087 --> 00:02:00,687 S1: certain amount of time. And he has the recipe, of course, um, 23 00:02:00,727 --> 00:02:02,367 S1: goes through a for a certain amount of time, then 24 00:02:02,367 --> 00:02:05,967 S1: you close it again. So he's made multiple iterations of 25 00:02:05,967 --> 00:02:08,447 S1: this thing to make it even better and better. So 26 00:02:08,447 --> 00:02:12,887 S1: you close it again, then you pour water in and 27 00:02:12,887 --> 00:02:17,147 S1: this time you pour colder water, you actually add some 28 00:02:17,147 --> 00:02:20,147 S1: cold to it. So you start off at like 90 degrees. 29 00:02:20,667 --> 00:02:23,667 S1: This is Celsius, by the way. And then I forget 30 00:02:23,707 --> 00:02:25,827 S1: what you go down to, but I just added a 31 00:02:25,827 --> 00:02:29,466 S1: little bit of colder water and then you do your 32 00:02:29,466 --> 00:02:34,387 S1: second immersion steep for X amount of time, which is 33 00:02:34,387 --> 00:02:39,506 S1: in the recipe with that colder temperature to avoid extracting 34 00:02:39,506 --> 00:02:43,667 S1: too much harshness. And then, uh, yeah, now you've got 35 00:02:43,667 --> 00:02:47,547 S1: essentially three different phases, and then you mix it all up, 36 00:02:47,587 --> 00:02:50,587 S1: you let it sit for a little bit, and it 37 00:02:50,587 --> 00:02:55,906 S1: is unbelievably good. So it's essentially very round, very fruity, 38 00:02:55,947 --> 00:03:01,346 S1: lots of body. It's just it's the best coffee I've 39 00:03:01,346 --> 00:03:05,227 S1: been making. Um, now he has mentioned that he's really 40 00:03:05,227 --> 00:03:07,947 S1: good with the Aeropress and I just got the metal Aeropress. 41 00:03:07,947 --> 00:03:11,466 S1: The new one. Uh, so it's metal and glass. I 42 00:03:11,466 --> 00:03:14,607 S1: haven't tried that. That used to be my favorite. So. 43 00:03:15,087 --> 00:03:17,207 S1: But I've learned a lot about coffee since then, so 44 00:03:17,207 --> 00:03:19,967 S1: we'll see how this compares to that. I do know 45 00:03:19,966 --> 00:03:25,246 S1: one thing. The Aeropress takes longer, so I'm more likely 46 00:03:25,246 --> 00:03:30,927 S1: to use this hario switch version anyway. But if you 47 00:03:30,966 --> 00:03:36,207 S1: are into coffee, you must check this out. All right. 48 00:03:36,207 --> 00:03:38,446 S1: This guy is super funny. I'm not going to click 49 00:03:38,447 --> 00:03:41,087 S1: on there. There's too much content. This guy is just 50 00:03:41,087 --> 00:03:46,287 S1: absolutely hilarious. He does these skits making fun of computer people. Um, 51 00:03:46,327 --> 00:03:51,207 S1: obviously he is one, so no harm there. Been grinding 52 00:03:51,207 --> 00:03:53,527 S1: on my predictions page. This is what it looks like now. 53 00:03:55,727 --> 00:03:58,247 S1: And this is essentially where I'm putting like all my 54 00:03:58,247 --> 00:04:03,127 S1: different predictions about different things. And I've got a long 55 00:04:03,127 --> 00:04:07,367 S1: way to go on this thing, but I've got quite 56 00:04:07,367 --> 00:04:12,027 S1: a few added And, uh, I've got a table here. 57 00:04:12,107 --> 00:04:16,267 S1: So the table is going to maintain like, uh, the different. 58 00:04:17,707 --> 00:04:19,707 S1: Just a collection of them, right. And this is going 59 00:04:19,707 --> 00:04:22,507 S1: to actually be fairly long, probably, I don't know, 10 60 00:04:22,507 --> 00:04:24,666 S1: or 20. I'm probably going to keep up here at 61 00:04:24,667 --> 00:04:28,187 S1: a given time. Who knows, maybe even more. And then 62 00:04:28,187 --> 00:04:31,387 S1: down below I have more detail about the particular one. 63 00:04:31,587 --> 00:04:33,427 S1: And this is all sort of in the vein of 64 00:04:33,427 --> 00:04:37,707 S1: this book, Super Forecasting, which is just a brilliant way 65 00:04:37,707 --> 00:04:41,267 S1: to think about like acting within a world that's uncertain. 66 00:04:42,267 --> 00:04:46,347 S1: So really excited about working on that project. Got a 67 00:04:46,347 --> 00:04:52,427 S1: fabric call out. Really appreciate. All right. Security. New study 68 00:04:52,427 --> 00:04:57,827 S1: shows AI powered spearfishing is extremely effective. Finding AI tools 69 00:04:57,827 --> 00:05:03,507 S1: achieves 54% click through rate versus 12% for regular phishing emails, 70 00:05:04,067 --> 00:05:10,687 S1: and matched human expert performance at 1/30 of the cost 1/30. 71 00:05:12,447 --> 00:05:16,247 S1: And I was like, well, you don't know about the methodology. 72 00:05:16,247 --> 00:05:18,607 S1: You don't know how good it was. So first I 73 00:05:18,607 --> 00:05:23,607 S1: ran some fabric patterns against the study itself, and it 74 00:05:23,607 --> 00:05:26,007 S1: came back and said it was a good methodology. Then 75 00:05:26,007 --> 00:05:29,647 S1: I found out it was basically Bruce Schneier was part 76 00:05:29,647 --> 00:05:33,247 S1: of this and it's out of Harvard. So I think 77 00:05:33,247 --> 00:05:36,687 S1: it's a pretty good finding. US launched a new cyber 78 00:05:36,687 --> 00:05:41,647 S1: security label program called US Cyber Trustmark to help people 79 00:05:42,367 --> 00:05:49,607 S1: know which smart home devices are secure. There's a series 80 00:05:49,607 --> 00:05:57,487 S1: of books called Project Russia Reveals. Edit there's a series 81 00:05:57,487 --> 00:06:01,727 S1: of books called Project Russia that essentially outlines what Putin 82 00:06:01,727 --> 00:06:06,447 S1: is trying to do. So taking down Western democracies, spiritual warfare, 83 00:06:06,637 --> 00:06:11,557 S1: Economic collapse. And this came out in 2005, 2010. So 84 00:06:11,557 --> 00:06:14,677 S1: maybe it's been updated since then. Maybe he's different, maybe 85 00:06:14,717 --> 00:06:19,237 S1: he's better, maybe he's worse. But, uh, I wanted to 86 00:06:19,237 --> 00:06:21,317 S1: get my hands on all of these. And what I 87 00:06:21,317 --> 00:06:26,957 S1: really want to do is write some fabric patterns that basically. Okay, 88 00:06:26,997 --> 00:06:28,997 S1: if you want to know what like the FSB is 89 00:06:28,997 --> 00:06:32,477 S1: trying to do, just, okay, you know, their campaigns are 90 00:06:32,477 --> 00:06:37,037 S1: going to orient the world if they're effective towards the 91 00:06:37,037 --> 00:06:40,517 S1: direction they want to go, right? So watch this, find 92 00:06:40,517 --> 00:06:42,917 S1: out the direction that they want to go, which turns 93 00:06:42,917 --> 00:06:45,717 S1: out is written down in these books. Then if you 94 00:06:45,717 --> 00:06:47,957 S1: want to know if someone is being influenced by them, 95 00:06:47,957 --> 00:06:50,957 S1: there's not a guarantee, by the way. It's not a guarantee. 96 00:06:51,037 --> 00:06:54,517 S1: There could be overlap that's sort of accidental or circumstantial, 97 00:06:55,077 --> 00:06:58,197 S1: but in general, if they're doing a good job, then 98 00:06:58,197 --> 00:07:01,437 S1: all you have to do is look for spokespeople who 99 00:07:01,437 --> 00:07:05,057 S1: are talking the exact book of what they're what they're 100 00:07:05,057 --> 00:07:09,697 S1: trying to do, which is like spiritual warfare, economic collapse. 101 00:07:10,777 --> 00:07:16,097 S1: Destroying Western democracies. And I'm like, yeah, find people who 102 00:07:16,097 --> 00:07:21,657 S1: are speaking that exact book. Like, for example, Tucker Carlson 103 00:07:21,657 --> 00:07:25,097 S1: Taiwan says Chinese ship might have deliberately cut one of 104 00:07:25,097 --> 00:07:28,177 S1: their undersea internet cables. I wonder if this could be 105 00:07:28,217 --> 00:07:32,617 S1: like the start of a fragmented internet. So, like the 106 00:07:32,617 --> 00:07:35,257 S1: Axis and allies have their own internet and they kind 107 00:07:35,257 --> 00:07:39,617 S1: of nobody can rely on the undersea cables anymore. I've 108 00:07:39,617 --> 00:07:43,537 S1: always wondered about undersea cables. It's it's like been a 109 00:07:43,537 --> 00:07:46,897 S1: thing for me. I have this thing where I wonder 110 00:07:46,937 --> 00:07:50,297 S1: why people don't go to overpasses and throw giant rocks 111 00:07:50,297 --> 00:07:55,937 S1: off of them into cars that are moving 80mph. And 112 00:07:55,937 --> 00:07:58,937 S1: I'm like, there are thousands of these things all over 113 00:07:58,937 --> 00:08:03,797 S1: the place. If somebody wanted to do that, they could. Um, 114 00:08:03,837 --> 00:08:07,437 S1: and there's just so many opportunities for like, why aren't 115 00:08:07,477 --> 00:08:11,037 S1: these things happening? And the answer is that there's some 116 00:08:11,037 --> 00:08:14,597 S1: sort of barrier that stops people from doing bad things. 117 00:08:14,797 --> 00:08:18,157 S1: There is a very strong barrier. Otherwise it would be 118 00:08:18,157 --> 00:08:21,837 S1: mass pandemonium all over the place. But another one of 119 00:08:21,837 --> 00:08:29,797 S1: those examples, similar to the, uh, the overpass thing, is. Okay, 120 00:08:29,797 --> 00:08:33,396 S1: we have these giant undersea cables, and the the ocean 121 00:08:33,396 --> 00:08:38,956 S1: is essentially outer space. Like, there's just you can't possibly 122 00:08:38,957 --> 00:08:43,597 S1: patrol all of it. So why wouldn't somebody who wanted 123 00:08:43,597 --> 00:08:49,437 S1: to disrupt billions of dollars of Western commerce? Why wouldn't 124 00:08:49,477 --> 00:08:52,396 S1: they just go out and cut these cables? And I 125 00:08:52,396 --> 00:08:54,957 S1: was thinking about this years and years ago, and I 126 00:08:54,957 --> 00:08:58,436 S1: was like, there's no way these cables are going to 127 00:08:58,437 --> 00:09:03,577 S1: be safe. Like, they're just there. Like, it's. They're easy 128 00:09:03,577 --> 00:09:08,337 S1: to find. Maybe not easy to get to. And, like, 129 00:09:08,337 --> 00:09:11,536 S1: if it's deep enough. Maybe not easy to get to. 130 00:09:11,577 --> 00:09:16,656 S1: But there are probably places where it is at it. 131 00:09:16,697 --> 00:09:19,697 S1: There are probably places where it is easy enough to 132 00:09:19,697 --> 00:09:24,617 S1: get to. Right. And sure enough, we're seeing this happen 133 00:09:24,617 --> 00:09:27,256 S1: all over the place. We're seeing Finland's complaining about it. 134 00:09:27,296 --> 00:09:32,056 S1: We've got Estonia complaining about it. We've got Taiwan complaining 135 00:09:32,057 --> 00:09:36,737 S1: about it. So yeah. Anyway, it could be that we 136 00:09:36,776 --> 00:09:41,416 S1: are more connected via satellite, which is a tiny, tiny 137 00:09:41,457 --> 00:09:45,136 S1: fraction of the bandwidth that would be over an undersea cable. 138 00:09:45,937 --> 00:09:48,497 S1: But I don't know, maybe we have a more isolated 139 00:09:48,497 --> 00:09:52,577 S1: internet in the future. CISOs released data on how well 140 00:09:53,337 --> 00:09:57,937 S1: like 7800 critical infrastructure orgs were adopting their security goals. 141 00:09:58,337 --> 00:10:01,157 S1: It looks like healthcare care and water systems and communication 142 00:10:01,396 --> 00:10:05,997 S1: and government facilities are doing the best. Got a Chinese 143 00:10:05,997 --> 00:10:12,597 S1: drone company, DJI has released an update. They released an 144 00:10:12,597 --> 00:10:16,117 S1: update that removes its geo fencing so it's able to 145 00:10:16,156 --> 00:10:25,957 S1: fly next to restricted areas like the white House or airline. Uh, airlines? Airports. Like, 146 00:10:27,756 --> 00:10:30,916 S1: how could they possibly. I don't get this. How could 147 00:10:30,916 --> 00:10:38,237 S1: they possibly do this and not immediately face, like, threats 148 00:10:38,237 --> 00:10:41,517 S1: of being banned? Are they just not worried about it? 149 00:10:41,557 --> 00:10:44,557 S1: Is the story wrong? Like something doesn't seem right here. 150 00:10:45,916 --> 00:10:49,557 S1: Arctic Wolf found a likely zero day being used to 151 00:10:49,597 --> 00:10:54,117 S1: hack Fortinet firewalls. New zero day and Avantis VPN products. 152 00:10:55,117 --> 00:10:58,696 S1: I don't know who's running Avanti VPN, but you should 153 00:10:58,697 --> 00:11:03,097 S1: probably stop. Sonicwall is rushing to get customers to patch 154 00:11:03,136 --> 00:11:08,057 S1: a serious authentication bypass bug in their SSL VPN. Greenland 155 00:11:08,057 --> 00:11:12,217 S1: is becoming increasingly critical for US military strategy in the Arctic, 156 00:11:12,217 --> 00:11:16,656 S1: because Russia already has 50 Arctic bases there. And if 157 00:11:16,656 --> 00:11:19,737 S1: you talk to anyone in Finland, that is a new 158 00:11:19,737 --> 00:11:25,456 S1: hotspot up there because Russia's up there as well. White 159 00:11:25,457 --> 00:11:28,296 S1: House and some intelligence agencies are now saying there's a 160 00:11:28,296 --> 00:11:32,497 S1: 5050 chance that a foreign actor did target U.S. personnel. 161 00:11:32,857 --> 00:11:35,737 S1: It's actually reminds me of Covid a lot, where it's 162 00:11:35,737 --> 00:11:39,857 S1: like common sense says, yeah, it was an energy weapon. 163 00:11:39,896 --> 00:11:42,816 S1: Common sense says, yeah, it came out of the Wuhan lab. 164 00:11:44,337 --> 00:11:48,416 S1: And then the the experts come out who I think 165 00:11:48,416 --> 00:11:52,057 S1: want to be careful and basically politically correct. And they're like, yeah, 166 00:11:52,097 --> 00:11:57,597 S1: no connection whatsoever to the Wuhan Covid lab. And no, 167 00:11:57,597 --> 00:12:02,316 S1: Russians are definitely not shooting energy beams at our, you know, diplomats. 168 00:12:02,317 --> 00:12:07,036 S1: Definitely not. And here we are years later, after the 169 00:12:07,117 --> 00:12:12,437 S1: fad of ignoring obvious things has sort of passed. Now 170 00:12:12,516 --> 00:12:15,837 S1: people are now saying obvious things. They're like, hey, maybe 171 00:12:15,877 --> 00:12:18,877 S1: it was actually Russians shooting energy weapons. Hey, maybe it 172 00:12:18,877 --> 00:12:25,317 S1: was actually the Wuhan lab. I in tech, Apple's actually 173 00:12:25,317 --> 00:12:29,837 S1: building the AI that we want. This is this is crazy. 174 00:12:30,477 --> 00:12:32,437 S1: This is going to go on the predictions page, by 175 00:12:32,437 --> 00:12:34,717 S1: the way. I actually need to write that down. I'm 176 00:12:34,717 --> 00:12:42,677 S1: going to forget it. But. What have we been wanting 177 00:12:42,676 --> 00:12:45,197 S1: from Siri all this time? For the last ten years 178 00:12:45,197 --> 00:12:48,036 S1: we've been wanting Siri to like, just understand things, be 179 00:12:48,036 --> 00:12:51,837 S1: able to do things for us. And it hasn't gotten there. 180 00:12:51,877 --> 00:12:54,776 S1: It's actually behind most of most of the other eyes, 181 00:12:55,136 --> 00:12:58,377 S1: in fact, so much so that a lot of brands 182 00:12:58,377 --> 00:13:03,457 S1: have solidified on Google and Alexa and not on Siri, 183 00:13:03,457 --> 00:13:06,177 S1: because it just wasn't that good. And it kind of 184 00:13:06,217 --> 00:13:09,417 S1: still isn't. But I'm telling you, I am staying on 185 00:13:09,416 --> 00:13:12,737 S1: all the betas. Um, I've always installed the betas, like 186 00:13:12,737 --> 00:13:16,896 S1: the day they get released. But look at this update 187 00:13:16,896 --> 00:13:23,217 S1: for beta for 18.4. Look at number two. Like a 188 00:13:23,217 --> 00:13:27,057 S1: real life assistant, you'll be able to reference texts you received, 189 00:13:27,057 --> 00:13:30,897 S1: past calendar events, and more personal data to get truly 190 00:13:30,896 --> 00:13:36,257 S1: intelligent assistance from Siri. So everyone is saying, okay, where 191 00:13:36,296 --> 00:13:39,537 S1: is Apple? Apple is being is being left behind by 192 00:13:39,536 --> 00:13:43,817 S1: all this AI stuff. You know they're not competing. They're 193 00:13:43,817 --> 00:13:46,576 S1: going too slow or whatever. And I've been saying the 194 00:13:46,577 --> 00:13:49,817 S1: whole time, and I did work there for a few 195 00:13:49,817 --> 00:13:53,077 S1: years by the way. Um, but this is not coming 196 00:13:53,077 --> 00:13:54,917 S1: from that. This is coming from the fact that I've 197 00:13:54,916 --> 00:13:58,916 S1: been a religious fanboy since 2007, and I kind of 198 00:13:58,957 --> 00:14:03,396 S1: have been watching how they work since like 2010. So 199 00:14:03,396 --> 00:14:06,156 S1: I study them very closely. And then, of course, I 200 00:14:06,156 --> 00:14:10,837 S1: also work there, but I'm not giving any insider information whatsoever. 201 00:14:11,717 --> 00:14:17,597 S1: But the way they work, okay. And this is not insider, 202 00:14:17,597 --> 00:14:20,197 S1: this is just my analysis. And a lot of people 203 00:14:20,197 --> 00:14:24,357 S1: already agree with this. The way they work is they 204 00:14:24,357 --> 00:14:28,397 S1: think about the distant future. Okay. I've been saying for 205 00:14:28,397 --> 00:14:31,717 S1: a long time they are building life os they have 206 00:14:31,717 --> 00:14:39,837 S1: been for a long time education, health, you know, fitness, um, 207 00:14:39,877 --> 00:14:46,037 S1: you know, work life, personal art, creativity. They're they have 208 00:14:46,037 --> 00:14:51,657 S1: been doing slow pieces, iterative pieces in all these different areas, 209 00:14:52,017 --> 00:14:55,617 S1: and now they're pulling them together and they're unifying them. 210 00:14:55,857 --> 00:14:58,217 S1: Then they build their cloud. First of all, they have 211 00:14:58,217 --> 00:15:03,297 S1: Secure Enclave. So they have the secure local system of 212 00:15:03,297 --> 00:15:07,456 S1: any anyone out there okay. Their hardware is just the best. 213 00:15:07,857 --> 00:15:11,657 S1: Then they just built that secure cloud infrastructure, which is 214 00:15:11,657 --> 00:15:15,336 S1: essentially the same as a secure enclave, but it's in 215 00:15:15,337 --> 00:15:17,337 S1: the cloud. So things that have to go to the 216 00:15:17,337 --> 00:15:20,817 S1: cloud for AI operations that they can't do locally, they 217 00:15:20,817 --> 00:15:23,337 S1: can they could do that in the cloud now. Okay. 218 00:15:23,377 --> 00:15:25,857 S1: So they build all this infrastructure. That was a year 219 00:15:25,857 --> 00:15:30,097 S1: and a half ago. And now they're finally starting to 220 00:15:30,137 --> 00:15:34,257 S1: pull it together. New app actions. Apple says Siri will 221 00:15:34,257 --> 00:15:38,017 S1: be able to perform hundreds of new actions in Apple apps, 222 00:15:38,017 --> 00:15:41,377 S1: without the need to even open those apps. App intents 223 00:15:41,377 --> 00:15:45,377 S1: will bring the same capability to supported third party apps 224 00:15:45,377 --> 00:15:49,997 S1: as well. And what's this? Siri will know what's on 225 00:15:49,997 --> 00:15:52,837 S1: your display, so you can easily ask it to take 226 00:15:52,877 --> 00:15:56,277 S1: action on whatever you're looking at. I'm telling you right now, 227 00:15:58,277 --> 00:16:01,637 S1: this is what Apple often does. Now, they didn't do 228 00:16:01,637 --> 00:16:04,357 S1: it with Siri until now, and I would have bet 229 00:16:04,357 --> 00:16:06,437 S1: against that and I would have been wrong. In fact, 230 00:16:06,437 --> 00:16:10,157 S1: I need to put that on my predictions. Wrong about Siri. 231 00:16:15,877 --> 00:16:17,997 S1: Sorry for taking note. I just don't want to miss it. 232 00:16:18,877 --> 00:16:23,316 S1: That was one. If you had told me ten years ago, 233 00:16:23,317 --> 00:16:25,717 S1: would we be at a place ten years from now 234 00:16:26,517 --> 00:16:33,037 S1: where Siri has been behind the market for five years? 235 00:16:33,397 --> 00:16:35,997 S1: I would have bet good money against that and I 236 00:16:35,997 --> 00:16:40,877 S1: would have been wrong. I think this is what undoes it. 237 00:16:41,397 --> 00:16:43,597 S1: I'm not often wrong about Apple stuff, by the way. 238 00:16:43,677 --> 00:16:48,017 S1: I'm like Point 9%, right? But I would have been 239 00:16:48,017 --> 00:16:53,217 S1: wrong about that one. And I think this is what 240 00:16:53,257 --> 00:16:56,377 S1: finally undoes it now. It's going to be hard. It's 241 00:16:56,377 --> 00:16:59,257 S1: going to be difficult. There's going to be problems. But 242 00:16:59,257 --> 00:17:02,657 S1: I feel like they're finally, finally getting it. I hope 243 00:17:02,657 --> 00:17:07,057 S1: they are all right. Open A's zero one keeps randomly 244 00:17:07,057 --> 00:17:12,257 S1: switching languages while solving problems and nobody knows why. So 245 00:17:12,257 --> 00:17:15,976 S1: it sometimes switches to Chinese, Persian, and other languages right 246 00:17:15,977 --> 00:17:19,057 S1: in the middle of reasoning. Even when the question was 247 00:17:19,057 --> 00:17:21,857 S1: asked in English. You know what I hope this is? 248 00:17:21,857 --> 00:17:24,016 S1: I don't know what this is. I haven't looked into 249 00:17:24,017 --> 00:17:27,016 S1: it yet. But you know what I hope it is? 250 00:17:27,017 --> 00:17:32,257 S1: I hope certain types of problems lend themselves better to 251 00:17:32,297 --> 00:17:37,057 S1: certain languages. Right? We know that certain languages are like analytical, 252 00:17:37,057 --> 00:17:41,936 S1: like German or something. Then you have like, I don't know, 253 00:17:41,976 --> 00:17:45,767 S1: is it romantic or love based or, I don't know, 254 00:17:46,367 --> 00:17:49,967 S1: maybe there are certain types of analysis. Maybe math. Maybe 255 00:17:49,966 --> 00:17:54,567 S1: math is better in Persian. I don't know, maybe math 256 00:17:54,567 --> 00:17:57,687 S1: is better in Chinese. I have no idea, but that 257 00:17:57,686 --> 00:17:59,486 S1: would be a cool reason if that turned out to 258 00:17:59,486 --> 00:18:02,767 S1: be the reason. I don't know that it is. Zuckerberg 259 00:18:02,767 --> 00:18:06,007 S1: says meta will start using AI to replace mid-level software 260 00:18:06,007 --> 00:18:11,487 S1: engineers in 2025. He says they'll have AI systems that 261 00:18:11,486 --> 00:18:16,687 S1: can effectively work as company engineers writing code, eventually planning 262 00:18:16,726 --> 00:18:22,927 S1: to automate all app development at meta. Yes, this reminds 263 00:18:22,927 --> 00:18:26,367 S1: me of what Benioff was talking about for Salesforce and 264 00:18:26,367 --> 00:18:34,887 S1: Agent Force. He's also selling models. They're open source models, 265 00:18:34,887 --> 00:18:41,686 S1: but ultimately Zuckerberg is also selling AI. Um, I have 266 00:18:41,686 --> 00:18:43,467 S1: to think about this a this a little more, but. 267 00:18:44,387 --> 00:18:47,107 S1: And it's definitely less the case than Benioff, who is 268 00:18:47,307 --> 00:18:52,187 S1: really selling trying to sell Agent Force. But I partially 269 00:18:52,186 --> 00:18:55,667 S1: believe Zuckerberg here. But I also think he's also just 270 00:18:55,667 --> 00:18:57,667 S1: trying to hype up the company and get people to 271 00:18:57,706 --> 00:19:00,946 S1: buy more stock. So hard to know how much of 272 00:19:00,946 --> 00:19:03,986 S1: a balance there is, but I think both are probably true. 273 00:19:04,827 --> 00:19:07,947 S1: In video released a blueprint for creating digital twins of 274 00:19:07,946 --> 00:19:12,827 S1: robot fleets in factories and warehouses. Virtual environments where companies 275 00:19:12,827 --> 00:19:17,347 S1: can test and optimize their robots. Robots are going crazy. 276 00:19:17,466 --> 00:19:19,467 S1: I think I have a comment down here, but robots 277 00:19:19,466 --> 00:19:24,387 S1: are going crazy right now. OpenAI released their new economic 278 00:19:24,387 --> 00:19:27,787 S1: blueprint that outlines how the US can win the AI 279 00:19:27,827 --> 00:19:32,347 S1: race against China. OpenAI is starting to build its own 280 00:19:32,347 --> 00:19:38,667 S1: robotics team, hiring for hiring first for its hardware roles, 281 00:19:39,907 --> 00:19:43,287 S1: and Dell is changing their laptop names just to Dell, 282 00:19:43,327 --> 00:19:48,847 S1: Dell Pro and Del Pro Max, which is copying Apple 283 00:19:49,047 --> 00:19:54,246 S1: on multiple different things. So first it was the form. Uh, 284 00:19:54,247 --> 00:19:57,967 S1: the form factor of phones. Everybody copies. Everyone's phone looks 285 00:19:57,966 --> 00:20:01,807 S1: like an iPhone now. All all packaging now looks like 286 00:20:01,847 --> 00:20:08,446 S1: Apple packaging. And now everything's a pro and a Pro Max. Like, 287 00:20:08,847 --> 00:20:13,087 S1: buy anything on Amazon. And like, half of it has those, uh, 288 00:20:13,087 --> 00:20:16,487 S1: product lines now. And Apple might launch a new app 289 00:20:16,486 --> 00:20:21,087 S1: called invites. Hopefully better than like, things like Calendly, although 290 00:20:21,127 --> 00:20:24,007 S1: I think Calendly is pretty good, but it just seems 291 00:20:24,007 --> 00:20:28,767 S1: like there should be a more professional way to handle that. 292 00:20:28,887 --> 00:20:32,607 S1: I don't know why nobody has yet. Stack overflow is 293 00:20:32,607 --> 00:20:40,867 S1: seeing a massive decline in new questions, dropping 77% Since 2022. 294 00:20:41,147 --> 00:20:45,547 S1: Anything crazy happened in 2022? Not sure. Not sure what 295 00:20:45,547 --> 00:20:48,706 S1: that could have been. Amazon is winding down some of 296 00:20:48,706 --> 00:20:54,027 S1: its Dei programs and integrating others into existing processes. Meta 297 00:20:54,027 --> 00:20:58,266 S1: killed off most of their programs and their entire Dei department. 298 00:20:58,867 --> 00:21:01,586 S1: My analysis here is that the corporate world continues to 299 00:21:01,627 --> 00:21:06,186 S1: move towards the Alaskan fishing boat model. There is no 300 00:21:06,186 --> 00:21:10,427 S1: die on an Alaskan fishing boat, and if robots could 301 00:21:10,427 --> 00:21:14,547 S1: do the work, there wouldn't be any cruise. There wouldn't 302 00:21:14,547 --> 00:21:18,986 S1: be any people on Alaskan fishing boats either. Expect this 303 00:21:18,986 --> 00:21:22,387 S1: to accelerate in the next four years, because essentially the 304 00:21:22,387 --> 00:21:29,587 S1: whole concept of Dei. Um. Yeah, the whole concept of 305 00:21:29,587 --> 00:21:39,727 S1: Dei kind of lost big time on November 5th. Humans 306 00:21:39,726 --> 00:21:42,927 S1: might have just made huge changes to their content policies, 307 00:21:43,527 --> 00:21:47,367 S1: including allowing hate speech against many different groups. I think 308 00:21:47,367 --> 00:21:49,286 S1: my opinion on this might be different. A lot of 309 00:21:49,287 --> 00:21:56,367 S1: people around this area. I actually want platforms to display 310 00:21:56,486 --> 00:22:03,167 S1: full reality, including, uh, really nasty speech and stuff that 311 00:22:03,167 --> 00:22:07,407 S1: I do not want to see. I simply want the 312 00:22:07,407 --> 00:22:11,287 S1: ability to filter it out. I want to be able 313 00:22:11,287 --> 00:22:15,127 S1: to take that stuff and block it and say, I 314 00:22:15,127 --> 00:22:18,526 S1: don't want hostility, I don't want sexism, I don't want racism. 315 00:22:18,527 --> 00:22:24,407 S1: I don't want conversations about this. I want to block, uh, 316 00:22:24,407 --> 00:22:29,207 S1: politicians with, you know, that rhyme with frump? Like, I 317 00:22:29,206 --> 00:22:33,846 S1: want to have that control, but I don't want the 318 00:22:34,307 --> 00:22:38,947 S1: Form to make those decisions for me. I want to 319 00:22:38,946 --> 00:22:44,187 S1: see reality. If I want to. And this is especially 320 00:22:44,186 --> 00:22:46,266 S1: the case if I want to do like pure research 321 00:22:46,307 --> 00:22:50,427 S1: on like how often how much is racism or sexism 322 00:22:50,946 --> 00:22:54,427 S1: going up or down in certain communities? Well, you can't 323 00:22:54,427 --> 00:22:58,867 S1: do that if the platform itself is blocking it. Um, 324 00:22:58,867 --> 00:23:01,186 S1: so this is all part of a discussion, and I 325 00:23:01,226 --> 00:23:05,147 S1: got a piece here about this, but, um, it's all 326 00:23:05,147 --> 00:23:09,226 S1: about a discussion of like, okay, what actually is a platform, right? 327 00:23:09,867 --> 00:23:13,027 S1: Is it a public thing or is it a private thing? 328 00:23:13,547 --> 00:23:17,946 S1: And that's really what we have to ask ourselves. Economy 329 00:23:17,946 --> 00:23:24,306 S1: added 256,000 jobs in 2024. Unemployment. Unemployment rate at it. 330 00:23:26,587 --> 00:23:31,427 S1: The unemployment rate dropped to 4.1%. What if they counted 331 00:23:31,427 --> 00:23:33,407 S1: the people who are now looking for jobs, though? it'd 332 00:23:33,446 --> 00:23:40,927 S1: be like 41%. I'm exaggerating. Slightly rare seven planet alignment 333 00:23:40,927 --> 00:23:44,927 S1: is coming to Earth's night skies in February 2025. I 334 00:23:44,927 --> 00:23:48,367 S1: tell you what, these planets are already out. I think 335 00:23:48,367 --> 00:23:50,606 S1: I mentioned this last week. You've got to go see 336 00:23:50,607 --> 00:23:54,087 S1: these things. Like right now, like Mars is like straight 337 00:23:54,087 --> 00:23:58,607 S1: above me. And Jupiter is moving off the axis towards 338 00:23:58,607 --> 00:24:02,806 S1: the west a little bit, which makes sense. Oh, and also, 339 00:24:02,847 --> 00:24:04,966 S1: you know what's really cool? Do you know why the 340 00:24:04,966 --> 00:24:07,487 S1: planets are always kind of like right in the middle? 341 00:24:11,007 --> 00:24:17,367 S1: And they move left to right through the sky. It's 342 00:24:17,367 --> 00:24:21,647 S1: because that is the axis of the plane of all 343 00:24:21,647 --> 00:24:29,686 S1: the planets. And we rotate in line with that axis, 344 00:24:29,847 --> 00:24:33,746 S1: that or that plane that all the planets are rotating on. 345 00:24:35,226 --> 00:24:38,427 S1: So the flatness of the plane of all the different 346 00:24:38,427 --> 00:24:42,027 S1: planets is the same axis that we rotate on. We're 347 00:24:42,027 --> 00:24:47,466 S1: at a slight angle, but that's why as we're turning, 348 00:24:47,507 --> 00:24:51,547 S1: this would be more the case. Um, at the equator. But. 349 00:24:54,186 --> 00:24:57,907 S1: We're oh, and they're going towards the west, which means 350 00:24:57,907 --> 00:25:01,107 S1: we're turning counterclockwise from the north. I was going to 351 00:25:01,147 --> 00:25:03,506 S1: ask I about that a second ago. In fact, I'm 352 00:25:03,507 --> 00:25:12,667 S1: going to do it right now. Are we moving? Counter clockwise. 353 00:25:13,067 --> 00:25:16,186 S1: This is probably a stupid question. I haven't spatially figured 354 00:25:16,186 --> 00:25:18,627 S1: this out. I don't know why I'm doing this live. 355 00:25:19,027 --> 00:25:26,226 S1: Are we moving counterclockwise relative to the. It depends on 356 00:25:26,226 --> 00:25:31,046 S1: if you're top or bottom, right. Like Australia versus Canada. 357 00:25:31,607 --> 00:25:38,806 S1: Are we moving counterclockwise relative to the. Oh, no. What 358 00:25:38,807 --> 00:25:41,486 S1: I want to know is, are we moving counterclockwise? Are 359 00:25:41,486 --> 00:25:58,087 S1: we moving opposite? Are we rotating? Opposite. To the. Direction 360 00:25:59,887 --> 00:26:08,607 S1: we are. There is no actual opposite. Okay, so if 361 00:26:08,647 --> 00:26:14,726 S1: we're going this. If all the planets are going. Top 362 00:26:14,726 --> 00:26:17,207 S1: and bottom. This is so stupid. If all the planets 363 00:26:17,206 --> 00:26:25,927 S1: are going clockwise, the question is, is the planet? Is 364 00:26:25,927 --> 00:26:32,067 S1: Earth turning with that direction or against that direction, and 365 00:26:32,067 --> 00:26:35,267 S1: I guess the inside would be against the outside would 366 00:26:35,267 --> 00:26:39,627 S1: be with. Are we rotating opposite to the direction that 367 00:26:39,627 --> 00:26:51,307 S1: we are orbiting sun or. In line with it. And 368 00:26:51,307 --> 00:27:01,226 S1: watch this tab. Enter or no. Alt. Enter. Counterclockwise on 369 00:27:01,226 --> 00:27:07,667 S1: its axis when viewed from above the North pole. And 370 00:27:07,667 --> 00:27:12,667 S1: orbits the sun in the same counterclockwise direction. Okay, so that's. 371 00:27:12,667 --> 00:27:17,027 S1: That's how it's thinking. Top down from the North Pole. 372 00:27:17,507 --> 00:27:19,266 S1: I should have thought of that. Top down from the 373 00:27:19,267 --> 00:27:30,966 S1: North Pole. Counterclockwise on its axis, and it's going around 374 00:27:30,966 --> 00:27:39,407 S1: the sun in the same counterclockwise. Okay. Interesting. All right. Sorry. 375 00:27:39,446 --> 00:27:42,686 S1: Sorry to bother you guys. All right. We'll cut that out. 376 00:27:42,726 --> 00:27:46,927 S1: We'll use I. Whatever. All right. Germans are using do 377 00:27:46,927 --> 00:27:50,167 S1: it yourself balcony solar panels to cut their electricity bills. 378 00:27:50,486 --> 00:27:54,087 S1: Young people are increasingly avoiding relationships, and it's happening all 379 00:27:54,087 --> 00:27:58,607 S1: over the world. Japan's already low marriage rate dropped another 12% 380 00:27:58,607 --> 00:28:02,726 S1: since 2019. A third of 18 to 34 year olds 381 00:28:02,726 --> 00:28:06,486 S1: globally say they're just not interested in dating or relationships. 382 00:28:09,287 --> 00:28:11,087 S1: I don't know what kind of problem that's going to be, 383 00:28:11,087 --> 00:28:14,806 S1: but it's going to be a problem. In 1965, the 384 00:28:14,807 --> 00:28:18,687 S1: US government tried replacing Mexican farm workers with the American 385 00:28:18,686 --> 00:28:24,466 S1: high school, with American high school athletes. And this is 386 00:28:24,466 --> 00:28:27,947 S1: this is back when like, Americans were super hard working. Right? 387 00:28:28,147 --> 00:28:37,226 S1: And it failed spectacularly. 18,000 teenagers, only 3300 worked in 388 00:28:37,226 --> 00:28:42,227 S1: the fields, but they quit within weeks. My dad actually 389 00:28:42,227 --> 00:28:44,947 S1: talked about this. He talked about he went out for, like, 390 00:28:44,947 --> 00:28:50,427 S1: one day. And this would have been, uh, this would 391 00:28:50,427 --> 00:28:54,427 S1: have been in the 60s. Yeah, it would have been 392 00:28:54,427 --> 00:28:58,827 S1: in the 60s or the 70s. Yeah, 60s or 70s. 393 00:28:58,827 --> 00:29:02,267 S1: So right about this time, he went out and, uh, 394 00:29:02,267 --> 00:29:05,747 S1: worked in the field for like, one day, and, or 395 00:29:05,747 --> 00:29:08,187 S1: maybe it was like a week and just, like, quit 396 00:29:08,227 --> 00:29:15,427 S1: too hard. Yeah. Fafo f around and find out. That's 397 00:29:15,427 --> 00:29:19,827 S1: what we're going to do. If if we if we, uh, 398 00:29:19,827 --> 00:29:24,497 S1: kick out, like, all these workers, like the country will 399 00:29:24,497 --> 00:29:28,417 S1: just stop and they'll be like, nah, just kidding, you 400 00:29:28,417 --> 00:29:32,897 S1: can come back. My thoughts on Zuckerberg and Musk showing 401 00:29:32,897 --> 00:29:35,417 S1: us raw internet. Basically, I want that. But with the 402 00:29:35,417 --> 00:29:37,297 S1: ability to tune out what I don't want to see. 403 00:29:37,297 --> 00:29:40,977 S1: This is what we just talked about. All right. Discovery. 404 00:29:41,457 --> 00:29:44,697 S1: This little snippet. I do this all the time GP 405 00:29:46,697 --> 00:29:49,097 S1: and then text. I don't even have to use quotes, 406 00:29:49,097 --> 00:29:54,057 S1: just GP and then text to, um, get commit with 407 00:29:54,057 --> 00:30:01,177 S1: that text. And yeah, this is a cool little call 408 00:30:01,217 --> 00:30:07,457 S1: to action on tweet. New Nvidia free courses for AI. 409 00:30:07,457 --> 00:30:10,297 S1: A researcher scanned the entire IPv4 internet on port 80 410 00:30:10,337 --> 00:30:15,297 S1: using mass scan and then analyze the results with nmap. Yeah, 411 00:30:15,297 --> 00:30:25,637 S1: this one was cool. See if I can pull it up. 412 00:30:28,917 --> 00:30:33,517 S1: Look at that. 42 million IP addresses on port 80 413 00:30:34,197 --> 00:30:40,637 S1: discovered buckets. Digital ocean spaces. Like lots of different data here. 414 00:30:41,317 --> 00:30:47,917 S1: Pretty cool project. I can't optimize your way to being 415 00:30:47,917 --> 00:30:53,037 S1: a good person. Your obsession with moral optimization and quantifying 416 00:30:53,037 --> 00:30:59,477 S1: ethical behavior might be making us worse people. Yeah. Julia 417 00:30:59,517 --> 00:31:05,077 S1: Evans explains what's needed for a modern terminal experience. This 418 00:31:05,077 --> 00:31:09,836 S1: is a really good write up by Julia. You got 419 00:31:09,877 --> 00:31:14,237 S1: to check this out also. I'm digging the typography. Mad 420 00:31:14,237 --> 00:31:21,417 S1: respect for the website. Uh, using fish terminal emulator neovim. 421 00:31:21,657 --> 00:31:26,857 S1: There you go. There you go. Neovim base 16 framework. Hmm. 422 00:31:26,897 --> 00:31:32,057 S1: Not familiar. Some out of the box options. Anyway, she's 423 00:31:32,057 --> 00:31:36,057 S1: got a full, in-depth thing. Quite good, quite good. Philips 424 00:31:36,057 --> 00:31:40,056 S1: Hue users. Uh, I am one of them. We'll be 425 00:31:40,057 --> 00:31:42,697 S1: able to create custom scenes using voice or text commands 426 00:31:42,697 --> 00:31:45,097 S1: like give me a scene for a garden party, and 427 00:31:45,097 --> 00:31:48,257 S1: it'll either use the garden party scene or it'll just 428 00:31:48,257 --> 00:31:51,457 S1: go make one that it thinks is appropriate, which I 429 00:31:51,457 --> 00:31:55,377 S1: think is super cool. Recommendation of the week. Don't clutter 430 00:31:55,377 --> 00:31:58,497 S1: your mind with anything before you start work. Treat your 431 00:31:58,497 --> 00:32:02,657 S1: morning clarity as a precious resource. You want the energy 432 00:32:02,657 --> 00:32:06,816 S1: to go into difficult work, not distraction fragmentation. So the 433 00:32:06,817 --> 00:32:09,657 S1: way I think about this is like you start off 434 00:32:09,657 --> 00:32:12,096 S1: with like 100 energy points. When you wake up in 435 00:32:12,097 --> 00:32:14,337 S1: the morning, let's assume you had a perfect night of 436 00:32:14,337 --> 00:32:17,797 S1: sleep and you had exercise before, and you're just like, 437 00:32:17,837 --> 00:32:22,637 S1: you feel really good. So you wake up, you're at 100. 438 00:32:22,637 --> 00:32:25,437 S1: Or worst case scenario, you didn't sleep perfectly. You're out 439 00:32:25,437 --> 00:32:28,957 S1: of 90. Let's say you're top shape for whatever it is. 440 00:32:29,757 --> 00:32:33,037 S1: What I've noticed, and this is um, Karpathy was talking 441 00:32:33,037 --> 00:32:36,157 S1: about this as well. And actually, I think I originally 442 00:32:37,957 --> 00:32:42,797 S1: heard this maybe a couple years back from Alex Hormozi. Um, 443 00:32:42,797 --> 00:32:44,997 S1: and it really rung true for me, and I've been 444 00:32:44,997 --> 00:32:50,877 S1: thinking about it since, um, basically, if you get into 445 00:32:50,917 --> 00:32:55,397 S1: email or especially if you get into social media, those 446 00:32:55,397 --> 00:33:00,317 S1: things will consume your energy and it's really, really bad. 447 00:33:00,317 --> 00:33:03,077 S1: The worst possible thing that I can do is I 448 00:33:03,077 --> 00:33:05,837 S1: don't get up and get out of bed. I wake up, 449 00:33:06,677 --> 00:33:09,277 S1: I reach for my phone, I look at my phone 450 00:33:09,277 --> 00:33:12,197 S1: and I start clicking through emails, and I start clicking 451 00:33:12,197 --> 00:33:16,137 S1: through social media. And then I check the news. So 452 00:33:16,137 --> 00:33:19,817 S1: what happens is my brain starts going crazy with news, 453 00:33:20,177 --> 00:33:24,457 S1: crazy with social media, crazy with emails. And then it 454 00:33:24,457 --> 00:33:28,737 S1: starts essentially doing work. My brain starts, it spins up 455 00:33:28,737 --> 00:33:32,737 S1: a bunch of like avatars, and it just starts going 456 00:33:32,737 --> 00:33:36,257 S1: and working and working and working. I still haven't got 457 00:33:36,257 --> 00:33:40,937 S1: up yet. My brain is getting tired. And this is 458 00:33:40,937 --> 00:33:42,937 S1: like the worst possible thing you could do because you 459 00:33:42,977 --> 00:33:48,537 S1: are extremely creative with that 100 creativity and energy points. 460 00:33:49,417 --> 00:33:53,697 S1: Extremely creative. You just cleaned your brain. You just cleansed 461 00:33:53,697 --> 00:33:57,897 S1: your whole brain for the night by sleeping. That's what 462 00:33:57,897 --> 00:34:00,937 S1: sleep does. You wake up refreshed. Your brain is like, 463 00:34:00,937 --> 00:34:05,657 S1: let's do something cool. Let's do something cool. And instead 464 00:34:05,657 --> 00:34:09,417 S1: of doing something cool, instead of getting into really hard, difficult, 465 00:34:09,417 --> 00:34:14,317 S1: creative work, you waste it. You wasted on news or 466 00:34:14,317 --> 00:34:17,157 S1: social media or something like that. So don't do that. 467 00:34:17,877 --> 00:34:23,357 S1: Don't waste those points on trash. What does Karpathy say here? Uh, well, 468 00:34:23,357 --> 00:34:27,077 S1: what he said earlier is he wake up and go 469 00:34:27,077 --> 00:34:30,437 S1: directly to work. Do not check anything. No messages, no email, 470 00:34:30,437 --> 00:34:35,237 S1: no news, no nothing. There's something destructive, distracting about checking 471 00:34:35,237 --> 00:34:38,357 S1: the outside world that I don't fully understand. I think 472 00:34:38,357 --> 00:34:41,837 S1: I just explained it. I think what I just described 473 00:34:41,837 --> 00:34:48,917 S1: is the explanation for it, roughly. And the aphorism of 474 00:34:48,917 --> 00:34:51,957 S1: the week. I can bear any pain as long as it. 475 00:34:51,957 --> 00:34:55,437 S2: Is. 476 00:34:55,437 --> 00:34:59,877 S1: At it. And the aphorism of the week I can 477 00:34:59,917 --> 00:35:03,437 S1: bear any pain as long as it has meaning. I 478 00:35:03,477 --> 00:35:07,077 S1: can bear any pain as long as it has meaning. 479 00:35:07,637 --> 00:35:09,357 S1: Haruki Murakami.