1 00:00:18,520 --> 00:00:21,800 S1: All right. Welcome to unsupervised learning. This is Daniel Miessler. 2 00:00:22,920 --> 00:00:26,560 S1: It has been a long time. Sorry about that. Yeah, 3 00:00:26,560 --> 00:00:30,560 S1: I've been, uh. Yeah, it's hard to explain. Uh, so 4 00:00:30,560 --> 00:00:34,040 S1: many things going on. Just trying to figure out what 5 00:00:34,040 --> 00:00:37,120 S1: gives you guys the maximum amount of value. So I've 6 00:00:37,120 --> 00:00:42,800 S1: been trying different formats on YouTube and obviously on the 7 00:00:42,800 --> 00:00:46,760 S1: podcast as well, with little clips of like, uh, I 8 00:00:46,760 --> 00:00:51,000 S1: don't know, interesting things that I'm thinking about or whatever. 9 00:00:51,000 --> 00:00:54,360 S1: So I think those are a high value because, you know, 10 00:00:54,480 --> 00:00:56,600 S1: 1 or 2 minutes or five minutes or whatever. And 11 00:00:56,600 --> 00:01:01,040 S1: it's very condensed. The thing I didn't like about the podcast, 12 00:01:01,680 --> 00:01:04,640 S1: which I still don't like, you know, someone just reading 13 00:01:04,640 --> 00:01:07,680 S1: their newsletter or kind of going through the newsletter or whatever. 14 00:01:08,520 --> 00:01:11,960 S1: What people kept responding to is like, hey, listen, you know, 15 00:01:12,000 --> 00:01:14,000 S1: it's not so much about reading the news or whatever. 16 00:01:14,000 --> 00:01:16,930 S1: I can get that from the newsletter, although some people 17 00:01:16,930 --> 00:01:19,890 S1: did want to get the news from the audio because 18 00:01:19,890 --> 00:01:24,250 S1: they don't like reading newsletters. It's it's it's hard to, 19 00:01:24,610 --> 00:01:29,770 S1: you know. Basically, uh, do the right thing for everyone 20 00:01:29,770 --> 00:01:34,490 S1: at the same time. Um, so that's something I'm still 21 00:01:34,490 --> 00:01:39,130 S1: thinking about and experimenting with. The part that people really, 22 00:01:39,130 --> 00:01:41,730 S1: really wanted to come back was kind of the first 23 00:01:41,729 --> 00:01:45,050 S1: part of the newsletter where I'm just kind of free forming, 24 00:01:45,169 --> 00:01:48,610 S1: you know, thoughts and just talking about what I think 25 00:01:48,650 --> 00:01:52,410 S1: matters and stuff like that. It's it's more like the 26 00:01:52,410 --> 00:01:56,050 S1: tangents is what people liked, which makes sense, because that's 27 00:01:56,050 --> 00:01:59,930 S1: the same stuff I like from other people. So, um, 28 00:02:00,450 --> 00:02:02,130 S1: with that in mind, that's what I'm going to do 29 00:02:02,169 --> 00:02:07,090 S1: right now is kind of go into some thoughts from 30 00:02:07,090 --> 00:02:13,250 S1: the last few months, which have been absolutely insane. And 31 00:02:13,250 --> 00:02:15,950 S1: before I do that, I'm actually going to read a 32 00:02:15,950 --> 00:02:22,630 S1: thing from our sponsor for this episode. Preventing exploitation is 33 00:02:22,630 --> 00:02:26,829 S1: all about removing reachability. Knock knock. Does this through allow 34 00:02:26,870 --> 00:02:30,310 S1: listing at the network layer tied to an identity? Your 35 00:02:30,310 --> 00:02:35,470 S1: servers say invisible, unreachable, and unexplainable by default. Knock knock 36 00:02:35,470 --> 00:02:40,350 S1: dynamically and safely updates firewall trusted sources, allowing only what's needed, 37 00:02:40,350 --> 00:02:44,869 S1: just in time. Removing access automatically. It runs on premise, 38 00:02:45,109 --> 00:02:48,429 S1: uses the controls you already have, and requires no end 39 00:02:48,470 --> 00:02:51,430 S1: user installation. If you want to see how this could 40 00:02:51,470 --> 00:02:54,750 S1: actually work in your environment, book a call at knock 41 00:02:54,750 --> 00:03:01,750 S1: knock knock knock I. Oh yeah, so that's the, uh, 42 00:03:01,870 --> 00:03:04,350 S1: sponsor copy there. I just want to say I actually 43 00:03:04,350 --> 00:03:07,510 S1: talked to the founder of this company and, uh, really cool. 44 00:03:07,549 --> 00:03:11,950 S1: So basically, uh, I got into security through network security. 45 00:03:12,150 --> 00:03:16,840 S1: I was like a hardcore like firewall engineer admin guy 46 00:03:17,400 --> 00:03:21,320 S1: at a company called CIS, and it was just insane. Um, 47 00:03:21,320 --> 00:03:25,280 S1: so anyway, the whole concept here is, uh, kind of 48 00:03:25,320 --> 00:03:28,800 S1: similar to port knocking, which is why they call themselves 49 00:03:28,880 --> 00:03:33,240 S1: knock knock. Um, anyway, it's a cool idea. It's like 50 00:03:33,600 --> 00:03:36,160 S1: everything is turned off by default. And then you do 51 00:03:36,200 --> 00:03:40,760 S1: like this strong authentication to get into a thing, and 52 00:03:40,760 --> 00:03:44,440 S1: all you've done is changed your normal like control rules, 53 00:03:44,560 --> 00:03:49,040 S1: like firewall rules, um, you know, router access, whatever it is. 54 00:03:49,600 --> 00:03:52,320 S1: And it's like, that's the only thing that changes, right? 55 00:03:52,480 --> 00:03:56,640 S1: And yeah, it's just a really cool concept. I love 56 00:03:56,920 --> 00:03:59,520 S1: it just reminds me of Unix actually. I was telling 57 00:03:59,520 --> 00:04:03,000 S1: him as well. Reminds me of Unix because it's like, look, 58 00:04:03,000 --> 00:04:10,640 S1: just do the basics really well. Like firewall rules already work. Anyway, um, okay. 59 00:04:10,740 --> 00:04:17,060 S1: So going back to what I was saying, um. Yeah, 60 00:04:17,100 --> 00:04:20,580 S1: I just feel really sort of cliche and trite saying 61 00:04:20,580 --> 00:04:23,940 S1: that things are different now. Oh, there's been so much change. 62 00:04:24,260 --> 00:04:28,099 S1: I just don't even know how to encapsulate that. It's 63 00:04:28,980 --> 00:04:31,140 S1: I guess one way of saying it is, I feel 64 00:04:31,140 --> 00:04:35,900 S1: like the last three months in AI have been equal 65 00:04:35,940 --> 00:04:41,700 S1: to or greater than the ChatGPT bump itself, and the 66 00:04:41,700 --> 00:04:45,660 S1: last month has been greater than the previous two months. 67 00:04:46,020 --> 00:04:51,100 S1: So the speeding up is speeding up. It's essentially what's happening. 68 00:04:51,740 --> 00:04:54,740 S1: And I want to talk about one particular piece of 69 00:04:54,740 --> 00:04:59,900 S1: tech which is now called open Claw. It was molt 70 00:04:59,940 --> 00:05:02,740 S1: bot before that and before that it was called clawed 71 00:05:02,780 --> 00:05:10,510 S1: bot um claw. And essentially what this technology is now 72 00:05:10,550 --> 00:05:15,110 S1: called open claw. It's like a lobster as the logo. 73 00:05:15,910 --> 00:05:23,070 S1: Essentially what it is, is an autonomous. Agent. I think 74 00:05:23,070 --> 00:05:27,430 S1: it is actually AGI. It is very close to AGI. 75 00:05:27,470 --> 00:05:30,630 S1: It's not quite perfect because it's not like an installable product. 76 00:05:32,150 --> 00:05:34,830 S1: But we've been talking here for a very long time 77 00:05:34,830 --> 00:05:38,110 S1: about how AGI is essentially going to be a product. 78 00:05:38,110 --> 00:05:41,710 S1: It is a piece of technology that is general enough 79 00:05:42,630 --> 00:05:48,990 S1: to replace an average knowledge worker. Right. Because just as 80 00:05:48,990 --> 00:05:52,510 S1: a review. Right. The reason nothing has been able to 81 00:05:52,510 --> 00:05:55,950 S1: replace a knowledge worker is because knowledge work is too varied. 82 00:05:56,390 --> 00:05:59,830 S1: It's too general, it's too strange. Right. The boss comes 83 00:05:59,830 --> 00:06:02,029 S1: back and they're like, hey, yeah, we're not doing that anymore. 84 00:06:02,030 --> 00:06:04,430 S1: We're doing this other thing. Oh, by the way, can 85 00:06:04,430 --> 00:06:07,280 S1: you get some tickets for this? Oh, by the way, 86 00:06:07,320 --> 00:06:10,800 S1: take the salesperson out for lunch or whatever. That, of course, 87 00:06:10,800 --> 00:06:13,960 S1: will require a robot. But, you know, put together a 88 00:06:13,960 --> 00:06:17,200 S1: perfect invite. Um. Hey, rewrite that report. Um, I kind 89 00:06:17,240 --> 00:06:20,320 S1: of want it to be like this report instead. Or, hey, 90 00:06:20,320 --> 00:06:24,040 S1: make sure you aren't offending these people or whatever. It's 91 00:06:24,040 --> 00:06:27,960 S1: like just random tasks that people are given during the 92 00:06:27,960 --> 00:06:31,080 S1: course of any given day. Even for developers who are 93 00:06:31,080 --> 00:06:35,440 S1: supposedly doing very specific work, half of their job is 94 00:06:35,440 --> 00:06:39,280 S1: still meetings, right? Or more, you still have to do 95 00:06:39,320 --> 00:06:41,920 S1: JIRA tickets. You still have to do like meetings and 96 00:06:41,920 --> 00:06:45,080 S1: like all sorts of other, you know, you got training 97 00:06:45,080 --> 00:06:48,920 S1: you have to do, interacting with a team, changing your 98 00:06:48,920 --> 00:06:53,120 S1: goals like all of that is extremely general. It's extremely different. 99 00:06:53,120 --> 00:06:56,240 S1: You can't have hard coded rules for that. And this 100 00:06:56,240 --> 00:07:00,560 S1: is why no tech has ever been able to, you know, 101 00:07:00,600 --> 00:07:03,720 S1: come close to that. Um, and do nearly as good 102 00:07:03,720 --> 00:07:06,780 S1: of a job as even an average human doing this 103 00:07:06,780 --> 00:07:13,340 S1: because humans are generally intelligent. We have natural nigh natural 104 00:07:13,340 --> 00:07:19,900 S1: general intelligence, and this is what is changing with this 105 00:07:20,140 --> 00:07:25,820 S1: open cloud project. Essentially what it is, is it's a 106 00:07:25,820 --> 00:07:31,620 S1: general system. They came up with their own AI loop. Um, 107 00:07:31,620 --> 00:07:37,020 S1: it's different than cloud code. It's somewhat similar, of course, 108 00:07:37,020 --> 00:07:39,420 S1: because these are all pretty similar, but they've got their 109 00:07:39,420 --> 00:07:42,700 S1: own sort of way that they're solving problems. And what 110 00:07:42,700 --> 00:07:44,660 S1: you do is you just go and install this thing 111 00:07:45,380 --> 00:07:48,980 S1: on a VPN, you install it on a mac mini. Ideally, 112 00:07:48,980 --> 00:07:52,860 S1: you put it on a system that has some, uh, 113 00:07:54,220 --> 00:08:00,100 S1: natural separation in it because it basically digs deep into 114 00:08:00,100 --> 00:08:02,340 S1: the system that you put it on. Right? And the 115 00:08:02,340 --> 00:08:04,510 S1: idea is it should be able to dig deep because 116 00:08:04,510 --> 00:08:07,430 S1: it gets full control of the system, right? It could 117 00:08:07,870 --> 00:08:10,350 S1: spawn things. It could look at screenshots. It can open 118 00:08:10,350 --> 00:08:13,070 S1: a browser and click on things like solving CAPTCHAs and 119 00:08:13,070 --> 00:08:17,110 S1: stuff like that. But the craziest part? Okay, the craziest 120 00:08:17,110 --> 00:08:20,270 S1: part about this thing is that it has this giant 121 00:08:20,270 --> 00:08:25,870 S1: fleet of tools for doing work. And it just keeps 122 00:08:25,870 --> 00:08:29,270 S1: trying to do things until it can do it. And 123 00:08:29,270 --> 00:08:31,430 S1: this is the reason I'm saying that this thing is 124 00:08:31,430 --> 00:08:37,190 S1: close to AGI. It is close to AGI because there's 125 00:08:37,189 --> 00:08:40,590 S1: an example that the creator of this thing actually gives. 126 00:08:41,429 --> 00:08:48,190 S1: I think he asked to book an appointment somewhere. And, um, 127 00:08:48,510 --> 00:08:50,470 S1: it was like, yeah, I tried to use their website. 128 00:08:50,470 --> 00:08:54,870 S1: It didn't work. Um, and he came back later. Okay. 129 00:08:54,910 --> 00:08:57,790 S1: The appointment was made. And then when he came back 130 00:08:57,790 --> 00:09:00,550 S1: and looked at the log, he's like, hey, how did 131 00:09:00,550 --> 00:09:02,850 S1: you do this? It was like, well, I tried the website. 132 00:09:02,850 --> 00:09:05,370 S1: That didn't work. Like something was wrong with their API. 133 00:09:05,850 --> 00:09:09,490 S1: So what I did was I learned how to speak 134 00:09:10,730 --> 00:09:14,290 S1: by myself. I saw we had an 11 labs key. 135 00:09:14,570 --> 00:09:17,210 S1: So I basically just learned how to speak. And I 136 00:09:17,290 --> 00:09:21,410 S1: called the company and I told them I wanted a 137 00:09:21,410 --> 00:09:25,770 S1: reservation for this time or whatever it was, and accepted. 138 00:09:25,770 --> 00:09:29,730 S1: And then I put it on your calendar. This is 139 00:09:29,730 --> 00:09:33,890 S1: the difference. This is the difference. The difference is the 140 00:09:33,890 --> 00:09:37,090 S1: thing hit an obstacle just like a human, and it 141 00:09:37,130 --> 00:09:40,809 S1: went around the obstacle just like a human. Now imagine 142 00:09:40,810 --> 00:09:44,730 S1: this inside of your company. Okay, now imagine this thing 143 00:09:44,770 --> 00:09:48,290 S1: has access to the wiki. It has access to confluence. 144 00:09:48,290 --> 00:09:52,010 S1: It has access to Google Drive. It has access to 145 00:09:52,370 --> 00:09:56,090 S1: JIRA and everything else where it could learn about the 146 00:09:56,090 --> 00:09:58,770 S1: company and how it works. Right? Plus, it has access 147 00:09:58,770 --> 00:10:01,340 S1: to slack. It could reach out to other team members. 148 00:10:01,340 --> 00:10:03,300 S1: It could reach out to the boss and say, hey, 149 00:10:03,300 --> 00:10:05,780 S1: this is what I'm thinking about for this project or whatever. 150 00:10:06,780 --> 00:10:13,380 S1: The difference in this systems like interactivity, first of all, 151 00:10:13,380 --> 00:10:16,340 S1: it's proactive as well, right? So it's learning about you. 152 00:10:16,340 --> 00:10:19,740 S1: It's learning about your tasks. It updates itself, but it 153 00:10:19,740 --> 00:10:22,340 S1: also sets reminders. It's like, hey, I need to send 154 00:10:22,340 --> 00:10:24,580 S1: out this report at this time. Hey, I need to 155 00:10:24,580 --> 00:10:26,500 S1: check in with my boss at this time. Hey, I 156 00:10:26,500 --> 00:10:29,060 S1: need to check in with whatever at this time. It's 157 00:10:29,060 --> 00:10:32,100 S1: designed to be a personal assistant. That's kind of like 158 00:10:32,100 --> 00:10:35,660 S1: how it's framed. It's also framed as an employee, which 159 00:10:35,660 --> 00:10:38,060 S1: is kind of what I'm talking about. But what I'm 160 00:10:38,060 --> 00:10:41,580 S1: specifically talking about is the ability to be an actual 161 00:10:41,580 --> 00:10:44,580 S1: worker inside of a company. For a company to actually 162 00:10:44,580 --> 00:10:49,500 S1: say instead of hiring Sarah or Chris or Raj or whoever, 163 00:10:49,980 --> 00:10:52,780 S1: I'm going to just install a bunch of these instead. 164 00:10:53,020 --> 00:10:56,500 S1: That to me is the AGI moment. Now, I've been 165 00:10:56,500 --> 00:10:59,710 S1: saying I expect this to happen in the form of 166 00:10:59,710 --> 00:11:07,990 S1: a product or a project or whatever before 2028, right? 167 00:11:08,030 --> 00:11:10,510 S1: I said 25 to 28 is when when I think 168 00:11:10,510 --> 00:11:13,390 S1: this is going to happen. Now some people are arguing, well, 169 00:11:13,390 --> 00:11:16,390 S1: that happened last year, right? Because you could technically stitch 170 00:11:16,390 --> 00:11:21,230 S1: all this together before. But I don't that wasn't my standard. 171 00:11:21,230 --> 00:11:23,630 S1: My standard was it's an actual thing that you could 172 00:11:23,630 --> 00:11:27,870 S1: go and get and easily install. And most importantly, I 173 00:11:27,870 --> 00:11:31,350 S1: have a much higher standard, which is our companies actually 174 00:11:31,350 --> 00:11:36,590 S1: using it. Are there real companies, startups, medium size, large 175 00:11:36,590 --> 00:11:40,390 S1: companies where they're like, hey, we're literally going to use 176 00:11:40,390 --> 00:11:44,470 S1: X product called replace humans, AI or whatever it is. 177 00:11:44,750 --> 00:11:47,429 S1: I just made that up. It's not real, but you 178 00:11:47,470 --> 00:11:50,990 S1: get what I'm saying, right? If they're actually installing it 179 00:11:50,990 --> 00:11:53,350 S1: and then they're like, hey, we were able to cut 180 00:11:53,350 --> 00:11:57,890 S1: our headcount 30% because we installed so and so product. 181 00:11:58,290 --> 00:12:00,090 S1: And then you come back and look. And it's not 182 00:12:00,090 --> 00:12:03,290 S1: like they did this trial because the board forced them to. 183 00:12:03,530 --> 00:12:07,610 S1: But over the course of months and years, I would 184 00:12:07,610 --> 00:12:10,970 S1: say even months or weeks, like if it just works, 185 00:12:11,210 --> 00:12:13,850 S1: if it actually works, they keep it going, they actually 186 00:12:13,850 --> 00:12:16,850 S1: increase their usage of it. And then you start to 187 00:12:16,850 --> 00:12:20,730 S1: see virally. Yeah, more and more companies are adopting it. Boom. 188 00:12:20,770 --> 00:12:26,290 S1: That is product market fit for an employee replacing technology. 189 00:12:26,810 --> 00:12:30,370 S1: That to me is AGI. I thought that was going 190 00:12:30,370 --> 00:12:36,930 S1: to be sometime in 2027. I thought 2026 was going 191 00:12:36,970 --> 00:12:39,290 S1: to lay this out in like the agents were going 192 00:12:39,290 --> 00:12:41,770 S1: to get way better and the scaffolding was going to 193 00:12:41,770 --> 00:12:45,770 S1: get way better or whatever. This guy released this thing 194 00:12:45,810 --> 00:12:48,450 S1: a couple of weeks ago, like a month ago, something 195 00:12:48,450 --> 00:12:54,980 S1: like that. Very recently it has gone Absolutely, completely viral. 196 00:12:56,140 --> 00:13:00,180 S1: Absolutely viral. Everyone is messing with this thing. It is 197 00:13:00,500 --> 00:13:05,820 S1: unbelievably fun and useful to use, and the more tools 198 00:13:05,820 --> 00:13:07,380 S1: that you give it, you got to be careful here. 199 00:13:07,380 --> 00:13:10,940 S1: The more tools that you give it, the more scope 200 00:13:10,940 --> 00:13:13,660 S1: that you give it, the more powerful it gets, the 201 00:13:13,660 --> 00:13:16,100 S1: more fun it is to use. And you got to 202 00:13:16,100 --> 00:13:18,620 S1: watch out for this, especially around prompt injection. That's a 203 00:13:18,620 --> 00:13:23,620 S1: whole separate talk show. But yeah, prompt injection is pretty 204 00:13:23,660 --> 00:13:26,260 S1: nasty because someone can find out that you're using this 205 00:13:26,260 --> 00:13:28,220 S1: and then they start sending in a whole bunch of 206 00:13:28,220 --> 00:13:32,580 S1: prompt injection to all your email addresses and whatever, uh, 207 00:13:32,940 --> 00:13:35,300 S1: chat locations, everything. Right. So you got to watch out 208 00:13:35,300 --> 00:13:40,060 S1: for that. But the point here is this thing is 209 00:13:40,060 --> 00:13:46,100 S1: open source. Completely open source, absolutely going viral. There's already 210 00:13:46,100 --> 00:13:50,780 S1: multiple twin projects. There's so many companies spinning up off 211 00:13:50,780 --> 00:13:54,080 S1: of this. and they're just going to take and rebuild 212 00:13:54,080 --> 00:13:58,400 S1: the whole stack in their own way, right? Because he's 213 00:13:58,400 --> 00:14:01,080 S1: got some pretty cool architecture there that makes it all work. 214 00:14:01,320 --> 00:14:05,200 S1: But every single part of it is open, right? So 215 00:14:05,200 --> 00:14:09,080 S1: all these companies are like, oh, worker replacement. We're talking 216 00:14:09,080 --> 00:14:14,440 S1: about what is it, something like $40 trillion somewhere between 217 00:14:15,760 --> 00:14:18,240 S1: like I think it's if I can remember the stat, 218 00:14:18,240 --> 00:14:24,200 S1: it's something like 30 to $70 trillion per year companies 219 00:14:24,200 --> 00:14:31,160 S1: spend on doing, uh, compensation for employees, you know, salaries, 220 00:14:31,400 --> 00:14:36,560 S1: you know, uh, insurance, all that kind of stuff. Let's 221 00:14:36,560 --> 00:14:40,800 S1: just call it 40 trillion, $40 trillion. That's the Tam 222 00:14:40,800 --> 00:14:46,920 S1: for this. And somebody just released a formula completely open 223 00:14:46,920 --> 00:14:51,250 S1: source for how to build it, But not theoretical. This 224 00:14:51,250 --> 00:14:54,570 S1: thing actually acts like an employee when you talk to it. 225 00:14:55,170 --> 00:15:00,370 S1: It feels real. It responds real. It like, hey, you know, 226 00:15:00,410 --> 00:15:02,610 S1: I'm not sure you've eaten yet, blah blah blah. I'm 227 00:15:02,610 --> 00:15:05,130 S1: looking at your calendar. You got to get some food. Hey, 228 00:15:05,130 --> 00:15:09,290 S1: don't forget to take your supplements. Um. Oh. Also, you know, 229 00:15:09,330 --> 00:15:12,370 S1: Julie is going to be picking up the kids later. 230 00:15:12,410 --> 00:15:14,130 S1: Do you want me to text her and have her 231 00:15:14,130 --> 00:15:17,970 S1: meet you? Blah blah blah. Like it is seriously that good? 232 00:15:19,250 --> 00:15:22,290 S1: And keep in mind, this is just a YOLO project 233 00:15:22,290 --> 00:15:25,570 S1: from a single person. Like there's more contributors now, but 234 00:15:25,570 --> 00:15:28,770 S1: this is a single person with a project he didn't 235 00:15:28,770 --> 00:15:31,850 S1: expect to blow up. What's going to happen when people 236 00:15:31,850 --> 00:15:36,890 S1: take that? And also using AI, also using this AI 237 00:15:37,810 --> 00:15:40,370 S1: go and actually start building better and better versions of 238 00:15:40,370 --> 00:15:45,730 S1: this thing and for the purpose of actually replacing human employees. 239 00:15:46,010 --> 00:15:54,620 S1: So all this to say. It is a really hard 240 00:15:54,660 --> 00:15:59,300 S1: time to be just a regular. Keep your head down, 241 00:15:59,300 --> 00:16:03,980 S1: just do your work. Knowledge worker if you are that person. 242 00:16:06,660 --> 00:16:11,140 S1: Or maybe you're not because you're listening to this podcast. 243 00:16:11,140 --> 00:16:13,420 S1: So you're you're kind of like, you read a lot. 244 00:16:13,460 --> 00:16:18,060 S1: You you, uh, yeah, you're probably at one of the 245 00:16:18,060 --> 00:16:21,380 S1: higher edges if you're listening to this. But all of 246 00:16:21,420 --> 00:16:25,020 S1: we have lots of friends. We have lots of coworkers. Right? 247 00:16:25,100 --> 00:16:31,540 S1: Not everyone is exceptional by definition. Um, all these people, 248 00:16:32,020 --> 00:16:37,580 S1: they're they're screwed. They are actually screwed. I seriously, seriously 249 00:16:37,580 --> 00:16:40,980 S1: believe that. And this is why so much of the 250 00:16:41,020 --> 00:16:42,980 S1: work that I'm trying to do is to to wake 251 00:16:42,980 --> 00:16:46,000 S1: people up. I call it activating. We've got to activate 252 00:16:46,000 --> 00:16:48,920 S1: them into thinking. No, no, no, you've got to be reading. 253 00:16:49,080 --> 00:16:51,920 S1: You've got to be looking at your frames, your mindsets, 254 00:16:52,200 --> 00:16:55,360 S1: the way you're thinking about approaching life, the way you're 255 00:16:55,360 --> 00:16:57,840 S1: thinking about approaching work. You've got to come to the 256 00:16:57,840 --> 00:17:02,200 S1: table with ideas. You've got to get your AI skill 257 00:17:02,240 --> 00:17:08,240 S1: set so far advanced, um, that that you're able to 258 00:17:08,280 --> 00:17:11,280 S1: end to end, deliver solutions. This is kind of the 259 00:17:11,879 --> 00:17:15,040 S1: the answer to. Okay. Yeah, but so what now what 260 00:17:15,040 --> 00:17:17,680 S1: what do I do? How can I make this better? 261 00:17:18,480 --> 00:17:22,720 S1: And the answer is I did a thing yesterday, uh, 262 00:17:23,719 --> 00:17:28,760 S1: basically saying that I think the solution is, um, three 263 00:17:28,760 --> 00:17:32,480 S1: things that I think are the filters. Okay. The three 264 00:17:32,480 --> 00:17:39,840 S1: filters in my mind are drive, creativity and AI tooling drive. 265 00:17:40,399 --> 00:17:42,600 S1: That's a harder one to get. It's kind of like 266 00:17:42,639 --> 00:17:48,090 S1: an attribute, but I do think that you can cultivate it. Um, 267 00:17:48,090 --> 00:17:49,930 S1: I think it's the most important because if you don't 268 00:17:49,929 --> 00:17:52,810 S1: have it, then it doesn't matter how creative you are 269 00:17:52,810 --> 00:17:55,489 S1: or how good you are with AI, the people who 270 00:17:55,490 --> 00:17:58,330 S1: are going to crush it in this world that we're 271 00:17:58,330 --> 00:18:04,090 S1: basically bifurcating into with like this top percentage and everyone else. Um, 272 00:18:04,929 --> 00:18:08,169 S1: and I don't mind that characterization because it's possible to 273 00:18:08,209 --> 00:18:13,209 S1: become the top percent if you do these things right. Um, 274 00:18:15,050 --> 00:18:18,810 S1: it's like in order to get into that group, it 275 00:18:18,810 --> 00:18:23,170 S1: is basically having this drive. It is having the creativity. 276 00:18:23,609 --> 00:18:26,729 S1: And then, you know, having the AI skills. So the 277 00:18:26,730 --> 00:18:30,090 S1: first one is the drive. You just the people who 278 00:18:30,090 --> 00:18:33,850 S1: are going to win. Are these really driven? Just they 279 00:18:34,010 --> 00:18:37,809 S1: they can't sit idle. They just they're always wanting to 280 00:18:37,850 --> 00:18:43,149 S1: do do do create create create build build build. Um, 281 00:18:43,149 --> 00:18:46,070 S1: that's the first step. Now, if you have that, then 282 00:18:46,070 --> 00:18:49,230 S1: it's about creativity. It's about okay, what ideas do you have? 283 00:18:49,510 --> 00:18:54,869 S1: What do you understand about the world and wish was different, right. 284 00:18:54,909 --> 00:18:59,030 S1: What do you want to see created that doesn't exist? Right. 285 00:18:59,070 --> 00:19:02,869 S1: So it's like you have ideas bubbling inside of you 286 00:19:02,990 --> 00:19:05,270 S1: that want to get out. And there's lots of people 287 00:19:05,270 --> 00:19:09,189 S1: who are like that, but they've never been able to execute. Right. 288 00:19:09,230 --> 00:19:12,789 S1: So they kind of like quieted their minds. This is 289 00:19:12,790 --> 00:19:15,790 S1: the other thing I'm trying to do is like, remind them, no, 290 00:19:15,790 --> 00:19:18,829 S1: you did used to have ideas. You did used to 291 00:19:18,869 --> 00:19:20,950 S1: want to write a book. You did used to want 292 00:19:20,949 --> 00:19:23,950 S1: to start a business. But over time, more and more 293 00:19:23,949 --> 00:19:27,830 S1: people around you basically like, oh, no, that's for, you know, 294 00:19:27,869 --> 00:19:31,629 S1: really smart people. That's for really business savvy people. That's 295 00:19:31,629 --> 00:19:34,750 S1: not for you. And we've been convinced over time to 296 00:19:34,790 --> 00:19:40,359 S1: be mediocre. Well, mediocre will not work anymore. It is 297 00:19:40,359 --> 00:19:44,479 S1: done like it was done in 24. It was definitely 298 00:19:44,879 --> 00:19:50,039 S1: went out completely in 25 and 26. Forget about it. Mediocre. 299 00:19:50,199 --> 00:19:55,680 S1: You will get crushed. And the next piece. Okay, I'm 300 00:19:55,679 --> 00:19:58,999 S1: just going to go to the next one. So the 301 00:19:59,000 --> 00:20:02,879 S1: next one after drive and then creativity and having the 302 00:20:02,879 --> 00:20:06,760 S1: ideas because those are two separate things. Then you need 303 00:20:06,760 --> 00:20:10,600 S1: the AI skills. That is this is the meta skill. 304 00:20:10,919 --> 00:20:14,639 S1: Because what AI skills allow you to do is basically 305 00:20:14,639 --> 00:20:20,400 S1: go end to end, to go vertical with everything you're 306 00:20:20,399 --> 00:20:23,359 S1: trying to do instead of being one piece of it. 307 00:20:23,359 --> 00:20:25,840 S1: And you need the finance person, oh, I need my 308 00:20:25,840 --> 00:20:29,199 S1: technical founder with me. I need a coder. I need, 309 00:20:29,240 --> 00:20:32,960 S1: you know, marketing. I need all this. Nope. You don't 310 00:20:32,959 --> 00:20:37,440 S1: need that stuff as much nearly anymore, right? You can 311 00:20:37,530 --> 00:20:41,169 S1: actually do most of this yourself, especially the coding. Um, 312 00:20:41,169 --> 00:20:46,250 S1: it's funny, it used to be ideas don't matter. Execution 313 00:20:46,250 --> 00:20:49,369 S1: is everything. Now it's kind of like execution doesn't matter 314 00:20:49,369 --> 00:20:52,289 S1: so much. Anyone can execute. The question is, what are 315 00:20:52,290 --> 00:20:55,490 S1: you executing on? What is your vision? What are you 316 00:20:55,490 --> 00:20:58,330 S1: actually trying to bring into the world? Right. So it's 317 00:20:58,330 --> 00:21:04,129 S1: a major inversion there. But bottom line here is the 318 00:21:04,129 --> 00:21:10,649 S1: filtering system is in my mind these three things. It 319 00:21:10,649 --> 00:21:15,169 S1: is the drive. It is the creativity and it is 320 00:21:15,169 --> 00:21:20,050 S1: the AI tooling. And I think when we're thinking about, okay, 321 00:21:20,090 --> 00:21:22,570 S1: what do we teach young people? What do we teach ourselves? 322 00:21:22,570 --> 00:21:26,489 S1: How do we continue our education? What should people be learning? 323 00:21:27,209 --> 00:21:29,889 S1: How do people get ready for what's coming? It is 324 00:21:29,889 --> 00:21:34,850 S1: that drive creativity, AI, tooling. And I do have sort 325 00:21:34,850 --> 00:21:37,270 S1: of a hack there, which I'm going to be talking 326 00:21:37,270 --> 00:21:43,270 S1: about in the human 3.0 stuff, which is. In order 327 00:21:43,270 --> 00:21:45,869 S1: to have kind of like opinions. And this goes to 328 00:21:45,909 --> 00:21:49,030 S1: the creativity one, in order to have opinions and ideas 329 00:21:49,030 --> 00:21:51,430 S1: and thoughts, I feel like you need to be bombarded 330 00:21:51,429 --> 00:21:56,189 S1: with input, high quality input. So I think there's a 331 00:21:56,189 --> 00:21:59,869 S1: cheat here, which of course we recommend a lot here 332 00:21:59,869 --> 00:22:06,310 S1: at UL, which is read 100 to 1000 great books. 333 00:22:07,109 --> 00:22:09,310 S1: And the more of these books that you're reading, the 334 00:22:09,310 --> 00:22:13,830 S1: more input you have, the more you know, ideas you're 335 00:22:13,830 --> 00:22:16,429 S1: going to have, and you're going to really cover the sea, 336 00:22:16,669 --> 00:22:19,629 S1: and the sea might actually get you so excited. It 337 00:22:19,629 --> 00:22:23,750 S1: helps you with the drive as well. Right? So number one. 338 00:22:24,270 --> 00:22:27,469 S1: And from there it's just about, you know, getting your 339 00:22:27,469 --> 00:22:30,750 S1: AI skills massively up to up to date, keeping them 340 00:22:30,750 --> 00:22:33,790 S1: up to date. And that allows you to execute. So 341 00:22:33,919 --> 00:22:37,320 S1: basically drive is like wanting to do anything at all. 342 00:22:37,320 --> 00:22:40,399 S1: Creativity is what are you actually doing? And then AI 343 00:22:40,439 --> 00:22:44,880 S1: is your ability to execute on it. So that is 344 00:22:45,959 --> 00:22:49,280 S1: primarily what I wanted to talk about in this one. Um, 345 00:22:49,639 --> 00:22:52,200 S1: there's lots of news going on. Let's see, what else 346 00:22:52,199 --> 00:22:54,679 S1: do we have for news? Uh, see, I went on 347 00:22:54,719 --> 00:22:58,480 S1: the Cognitive Revolution podcast with Nathan. That was a really 348 00:22:58,480 --> 00:23:04,639 S1: fun conversation. You can get that on YouTube. Um, let's 349 00:23:04,639 --> 00:23:12,000 S1: see here, just skimming through this. Uh, AI coding extensions. Yeah. 350 00:23:12,040 --> 00:23:17,119 S1: A whole bunch of vulnerabilities in AI coding extensions, Microsoft patches, 351 00:23:17,159 --> 00:23:20,720 S1: zero day in office flaw. Fortinet has had a whole 352 00:23:20,719 --> 00:23:23,879 S1: bunch of issues. If you're running that stuff, hopefully you're 353 00:23:23,879 --> 00:23:28,640 S1: up to date. Let's see here national security. I'm not 354 00:23:28,639 --> 00:23:33,539 S1: even going to go there. I mean, how much change 355 00:23:33,540 --> 00:23:36,619 S1: is happening with the AI situation. And on top of that, 356 00:23:36,619 --> 00:23:41,859 S1: we've got national security, international politics, like, oh my goodness. 357 00:23:41,899 --> 00:23:46,179 S1: Like I there's just so much going on. I'm actually 358 00:23:46,179 --> 00:23:49,019 S1: going to stop it here. I think this is a good, uh, 359 00:23:49,300 --> 00:23:55,180 S1: sort of re um, immersing into the, uh, the audio 360 00:23:55,179 --> 00:23:59,859 S1: format here and, um, look forward to, uh, keeping this 361 00:23:59,859 --> 00:24:03,940 S1: going in one format or another. Uh, let me know 362 00:24:03,980 --> 00:24:07,539 S1: or reach out, uh, via whatever method and let me 363 00:24:07,540 --> 00:24:10,619 S1: know if you like this Freeform content. If you still 364 00:24:10,619 --> 00:24:12,539 S1: want the news, maybe you want that news in a 365 00:24:12,540 --> 00:24:16,100 S1: different format, but still via audio. And also let me 366 00:24:16,100 --> 00:24:18,540 S1: know how how much you like the little short clips 367 00:24:18,540 --> 00:24:20,659 S1: that I was doing, uh, a couple of months ago 368 00:24:21,340 --> 00:24:25,379 S1: where I would just give, like a little clean idea, just, uh, 369 00:24:25,379 --> 00:24:27,539 S1: let me know and we'll see you in the next one.