S1: All right. Welcome to unsupervised learning. This is Daniel Miessler.
S1: It has been a long time. Sorry about that. Yeah,
S1: I've been, uh. Yeah, it's hard to explain. Uh, so
S1: many things going on. Just trying to figure out what
S1: gives you guys the maximum amount of value. So I've
S1: been trying different formats on YouTube and obviously on the
S1: podcast as well, with little clips of like, uh, I
S1: don't know, interesting things that I'm thinking about or whatever.
S1: So I think those are a high value because, you know,
S1: 1 or 2 minutes or five minutes or whatever. And
S1: it's very condensed. The thing I didn't like about the podcast,
S1: which I still don't like, you know, someone just reading
S1: their newsletter or kind of going through the newsletter or whatever.
S1: What people kept responding to is like, hey, listen, you know,
S1: it's not so much about reading the news or whatever.
S1: I can get that from the newsletter, although some people
S1: did want to get the news from the audio because
S1: they don't like reading newsletters. It's it's it's hard to,
S1: you know. Basically, uh, do the right thing for everyone
S1: at the same time. Um, so that's something I'm still
S1: thinking about and experimenting with. The part that people really,
S1: really wanted to come back was kind of the first
S1: part of the newsletter where I'm just kind of free forming,
S1: you know, thoughts and just talking about what I think
S1: matters and stuff like that. It's it's more like the
S1: tangents is what people liked, which makes sense, because that's
S1: the same stuff I like from other people. So, um,
S1: with that in mind, that's what I'm going to do
S1: right now is kind of go into some thoughts from
S1: the last few months, which have been absolutely insane. And
S1: before I do that, I'm actually going to read a
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S1: knock knock knock I. Oh yeah, so that's the, uh,
S1: sponsor copy there. I just want to say I actually
S1: talked to the founder of this company and, uh, really cool.
S1: So basically, uh, I got into security through network security.
S1: I was like a hardcore like firewall engineer admin guy
S1: at a company called CIS, and it was just insane. Um,
S1: so anyway, the whole concept here is, uh, kind of
S1: similar to port knocking, which is why they call themselves
S1: knock knock. Um, anyway, it's a cool idea. It's like
S1: everything is turned off by default. And then you do
S1: like this strong authentication to get into a thing, and
S1: all you've done is changed your normal like control rules,
S1: like firewall rules, um, you know, router access, whatever it is.
S1: And it's like, that's the only thing that changes, right?
S1: And yeah, it's just a really cool concept. I love
S1: it just reminds me of Unix actually. I was telling
S1: him as well. Reminds me of Unix because it's like, look,
S1: just do the basics really well. Like firewall rules already work. Anyway, um, okay.
S1: So going back to what I was saying, um. Yeah,
S1: I just feel really sort of cliche and trite saying
S1: that things are different now. Oh, there's been so much change.
S1: I just don't even know how to encapsulate that. It's
S1: I guess one way of saying it is, I feel
S1: like the last three months in AI have been equal
S1: to or greater than the ChatGPT bump itself, and the
S1: last month has been greater than the previous two months.
S1: So the speeding up is speeding up. It's essentially what's happening.
S1: And I want to talk about one particular piece of
S1: tech which is now called open Claw. It was molt
S1: bot before that and before that it was called clawed
S1: bot um claw. And essentially what this technology is now
S1: called open claw. It's like a lobster as the logo.
S1: Essentially what it is, is an autonomous. Agent. I think
S1: it is actually AGI. It is very close to AGI.
S1: It's not quite perfect because it's not like an installable product.
S1: But we've been talking here for a very long time
S1: about how AGI is essentially going to be a product.
S1: It is a piece of technology that is general enough
S1: to replace an average knowledge worker. Right. Because just as
S1: a review. Right. The reason nothing has been able to
S1: replace a knowledge worker is because knowledge work is too varied.
S1: It's too general, it's too strange. Right. The boss comes
S1: back and they're like, hey, yeah, we're not doing that anymore.
S1: We're doing this other thing. Oh, by the way, can
S1: you get some tickets for this? Oh, by the way,
S1: take the salesperson out for lunch or whatever. That, of course,
S1: will require a robot. But, you know, put together a
S1: perfect invite. Um. Hey, rewrite that report. Um, I kind
S1: of want it to be like this report instead. Or, hey,
S1: make sure you aren't offending these people or whatever. It's
S1: like just random tasks that people are given during the
S1: course of any given day. Even for developers who are
S1: supposedly doing very specific work, half of their job is
S1: still meetings, right? Or more, you still have to do
S1: JIRA tickets. You still have to do like meetings and
S1: like all sorts of other, you know, you got training
S1: you have to do, interacting with a team, changing your
S1: goals like all of that is extremely general. It's extremely different.
S1: You can't have hard coded rules for that. And this
S1: is why no tech has ever been able to, you know,
S1: come close to that. Um, and do nearly as good
S1: of a job as even an average human doing this
S1: because humans are generally intelligent. We have natural nigh natural
S1: general intelligence, and this is what is changing with this
S1: open cloud project. Essentially what it is, is it's a
S1: general system. They came up with their own AI loop. Um,
S1: it's different than cloud code. It's somewhat similar, of course,
S1: because these are all pretty similar, but they've got their
S1: own sort of way that they're solving problems. And what
S1: you do is you just go and install this thing
S1: on a VPN, you install it on a mac mini. Ideally,
S1: you put it on a system that has some, uh,
S1: natural separation in it because it basically digs deep into
S1: the system that you put it on. Right? And the
S1: idea is it should be able to dig deep because
S1: it gets full control of the system, right? It could
S1: spawn things. It could look at screenshots. It can open
S1: a browser and click on things like solving CAPTCHAs and
S1: stuff like that. But the craziest part? Okay, the craziest
S1: part about this thing is that it has this giant
S1: fleet of tools for doing work. And it just keeps
S1: trying to do things until it can do it. And
S1: this is the reason I'm saying that this thing is
S1: close to AGI. It is close to AGI because there's
S1: an example that the creator of this thing actually gives.
S1: I think he asked to book an appointment somewhere. And, um,
S1: it was like, yeah, I tried to use their website.
S1: It didn't work. Um, and he came back later. Okay.
S1: The appointment was made. And then when he came back
S1: and looked at the log, he's like, hey, how did
S1: you do this? It was like, well, I tried the website.
S1: That didn't work. Like something was wrong with their API.
S1: So what I did was I learned how to speak
S1: by myself. I saw we had an 11 labs key.
S1: So I basically just learned how to speak. And I
S1: called the company and I told them I wanted a
S1: reservation for this time or whatever it was, and accepted.
S1: And then I put it on your calendar. This is
S1: the difference. This is the difference. The difference is the
S1: thing hit an obstacle just like a human, and it
S1: went around the obstacle just like a human. Now imagine
S1: this inside of your company. Okay, now imagine this thing
S1: has access to the wiki. It has access to confluence.
S1: It has access to Google Drive. It has access to
S1: JIRA and everything else where it could learn about the
S1: company and how it works. Right? Plus, it has access
S1: to slack. It could reach out to other team members.
S1: It could reach out to the boss and say, hey,
S1: this is what I'm thinking about for this project or whatever.
S1: The difference in this systems like interactivity, first of all,
S1: it's proactive as well, right? So it's learning about you.
S1: It's learning about your tasks. It updates itself, but it
S1: also sets reminders. It's like, hey, I need to send
S1: out this report at this time. Hey, I need to
S1: check in with my boss at this time. Hey, I
S1: need to check in with whatever at this time. It's
S1: designed to be a personal assistant. That's kind of like
S1: how it's framed. It's also framed as an employee, which
S1: is kind of what I'm talking about. But what I'm
S1: specifically talking about is the ability to be an actual
S1: worker inside of a company. For a company to actually
S1: say instead of hiring Sarah or Chris or Raj or whoever,
S1: I'm going to just install a bunch of these instead.
S1: That to me is the AGI moment. Now, I've been
S1: saying I expect this to happen in the form of
S1: a product or a project or whatever before 2028, right?
S1: I said 25 to 28 is when when I think
S1: this is going to happen. Now some people are arguing, well,
S1: that happened last year, right? Because you could technically stitch
S1: all this together before. But I don't that wasn't my standard.
S1: My standard was it's an actual thing that you could
S1: go and get and easily install. And most importantly, I
S1: have a much higher standard, which is our companies actually
S1: using it. Are there real companies, startups, medium size, large
S1: companies where they're like, hey, we're literally going to use
S1: X product called replace humans, AI or whatever it is.
S1: I just made that up. It's not real, but you
S1: get what I'm saying, right? If they're actually installing it
S1: and then they're like, hey, we were able to cut
S1: our headcount 30% because we installed so and so product.
S1: And then you come back and look. And it's not
S1: like they did this trial because the board forced them to.
S1: But over the course of months and years, I would
S1: say even months or weeks, like if it just works,
S1: if it actually works, they keep it going, they actually
S1: increase their usage of it. And then you start to
S1: see virally. Yeah, more and more companies are adopting it. Boom.
S1: That is product market fit for an employee replacing technology.
S1: That to me is AGI. I thought that was going
S1: to be sometime in 2027. I thought 2026 was going
S1: to lay this out in like the agents were going
S1: to get way better and the scaffolding was going to
S1: get way better or whatever. This guy released this thing
S1: a couple of weeks ago, like a month ago, something
S1: like that. Very recently it has gone Absolutely, completely viral.
S1: Absolutely viral. Everyone is messing with this thing. It is
S1: unbelievably fun and useful to use, and the more tools
S1: that you give it, you got to be careful here.
S1: The more tools that you give it, the more scope
S1: that you give it, the more powerful it gets, the
S1: more fun it is to use. And you got to
S1: watch out for this, especially around prompt injection. That's a
S1: whole separate talk show. But yeah, prompt injection is pretty
S1: nasty because someone can find out that you're using this
S1: and then they start sending in a whole bunch of
S1: prompt injection to all your email addresses and whatever, uh,
S1: chat locations, everything. Right. So you got to watch out
S1: for that. But the point here is this thing is
S1: open source. Completely open source, absolutely going viral. There's already
S1: multiple twin projects. There's so many companies spinning up off
S1: of this. and they're just going to take and rebuild
S1: the whole stack in their own way, right? Because he's
S1: got some pretty cool architecture there that makes it all work.
S1: But every single part of it is open, right? So
S1: all these companies are like, oh, worker replacement. We're talking
S1: about what is it, something like $40 trillion somewhere between
S1: like I think it's if I can remember the stat,
S1: it's something like 30 to $70 trillion per year companies
S1: spend on doing, uh, compensation for employees, you know, salaries,
S1: you know, uh, insurance, all that kind of stuff. Let's
S1: just call it 40 trillion, $40 trillion. That's the Tam
S1: for this. And somebody just released a formula completely open
S1: source for how to build it, But not theoretical. This
S1: thing actually acts like an employee when you talk to it.
S1: It feels real. It responds real. It like, hey, you know,
S1: I'm not sure you've eaten yet, blah blah blah. I'm
S1: looking at your calendar. You got to get some food. Hey,
S1: don't forget to take your supplements. Um. Oh. Also, you know,
S1: Julie is going to be picking up the kids later.
S1: Do you want me to text her and have her
S1: meet you? Blah blah blah. Like it is seriously that good?
S1: And keep in mind, this is just a YOLO project
S1: from a single person. Like there's more contributors now, but
S1: this is a single person with a project he didn't
S1: expect to blow up. What's going to happen when people
S1: take that? And also using AI, also using this AI
S1: go and actually start building better and better versions of
S1: this thing and for the purpose of actually replacing human employees.
S1: So all this to say. It is a really hard
S1: time to be just a regular. Keep your head down,
S1: just do your work. Knowledge worker if you are that person.
S1: Or maybe you're not because you're listening to this podcast.
S1: So you're you're kind of like, you read a lot.
S1: You you, uh, yeah, you're probably at one of the
S1: higher edges if you're listening to this. But all of
S1: we have lots of friends. We have lots of coworkers. Right?
S1: Not everyone is exceptional by definition. Um, all these people,
S1: they're they're screwed. They are actually screwed. I seriously, seriously
S1: believe that. And this is why so much of the
S1: work that I'm trying to do is to to wake
S1: people up. I call it activating. We've got to activate
S1: them into thinking. No, no, no, you've got to be reading.
S1: You've got to be looking at your frames, your mindsets,
S1: the way you're thinking about approaching life, the way you're
S1: thinking about approaching work. You've got to come to the
S1: table with ideas. You've got to get your AI skill
S1: set so far advanced, um, that that you're able to
S1: end to end, deliver solutions. This is kind of the
S1: the answer to. Okay. Yeah, but so what now what
S1: what do I do? How can I make this better?
S1: And the answer is I did a thing yesterday, uh,
S1: basically saying that I think the solution is, um, three
S1: things that I think are the filters. Okay. The three
S1: filters in my mind are drive, creativity and AI tooling drive.
S1: That's a harder one to get. It's kind of like
S1: an attribute, but I do think that you can cultivate it. Um,
S1: I think it's the most important because if you don't
S1: have it, then it doesn't matter how creative you are
S1: or how good you are with AI, the people who
S1: are going to crush it in this world that we're
S1: basically bifurcating into with like this top percentage and everyone else. Um,
S1: and I don't mind that characterization because it's possible to
S1: become the top percent if you do these things right. Um,
S1: it's like in order to get into that group, it
S1: is basically having this drive. It is having the creativity.
S1: And then, you know, having the AI skills. So the
S1: first one is the drive. You just the people who
S1: are going to win. Are these really driven? Just they
S1: they can't sit idle. They just they're always wanting to
S1: do do do create create create build build build. Um,
S1: that's the first step. Now, if you have that, then
S1: it's about creativity. It's about okay, what ideas do you have?
S1: What do you understand about the world and wish was different, right.
S1: What do you want to see created that doesn't exist? Right.
S1: So it's like you have ideas bubbling inside of you
S1: that want to get out. And there's lots of people
S1: who are like that, but they've never been able to execute. Right.
S1: So they kind of like quieted their minds. This is
S1: the other thing I'm trying to do is like, remind them, no,
S1: you did used to have ideas. You did used to
S1: want to write a book. You did used to want
S1: to start a business. But over time, more and more
S1: people around you basically like, oh, no, that's for, you know,
S1: really smart people. That's for really business savvy people. That's
S1: not for you. And we've been convinced over time to
S1: be mediocre. Well, mediocre will not work anymore. It is
S1: done like it was done in 24. It was definitely
S1: went out completely in 25 and 26. Forget about it. Mediocre.
S1: You will get crushed. And the next piece. Okay, I'm
S1: just going to go to the next one. So the
S1: next one after drive and then creativity and having the
S1: ideas because those are two separate things. Then you need
S1: the AI skills. That is this is the meta skill.
S1: Because what AI skills allow you to do is basically
S1: go end to end, to go vertical with everything you're
S1: trying to do instead of being one piece of it.
S1: And you need the finance person, oh, I need my
S1: technical founder with me. I need a coder. I need,
S1: you know, marketing. I need all this. Nope. You don't
S1: need that stuff as much nearly anymore, right? You can
S1: actually do most of this yourself, especially the coding. Um,
S1: it's funny, it used to be ideas don't matter. Execution
S1: is everything. Now it's kind of like execution doesn't matter
S1: so much. Anyone can execute. The question is, what are
S1: you executing on? What is your vision? What are you
S1: actually trying to bring into the world? Right. So it's
S1: a major inversion there. But bottom line here is the
S1: filtering system is in my mind these three things. It
S1: is the drive. It is the creativity and it is
S1: the AI tooling. And I think when we're thinking about, okay,
S1: what do we teach young people? What do we teach ourselves?
S1: How do we continue our education? What should people be learning?
S1: How do people get ready for what's coming? It is
S1: that drive creativity, AI, tooling. And I do have sort
S1: of a hack there, which I'm going to be talking
S1: about in the human 3.0 stuff, which is. In order
S1: to have kind of like opinions. And this goes to
S1: the creativity one, in order to have opinions and ideas
S1: and thoughts, I feel like you need to be bombarded
S1: with input, high quality input. So I think there's a
S1: cheat here, which of course we recommend a lot here
S1: at UL, which is read 100 to 1000 great books.
S1: And the more of these books that you're reading, the
S1: more input you have, the more you know, ideas you're
S1: going to have, and you're going to really cover the sea,
S1: and the sea might actually get you so excited. It
S1: helps you with the drive as well. Right? So number one.
S1: And from there it's just about, you know, getting your
S1: AI skills massively up to up to date, keeping them
S1: up to date. And that allows you to execute. So
S1: basically drive is like wanting to do anything at all.
S1: Creativity is what are you actually doing? And then AI
S1: is your ability to execute on it. So that is
S1: primarily what I wanted to talk about in this one. Um,
S1: there's lots of news going on. Let's see, what else
S1: do we have for news? Uh, see, I went on
S1: the Cognitive Revolution podcast with Nathan. That was a really
S1: fun conversation. You can get that on YouTube. Um, let's
S1: see here, just skimming through this. Uh, AI coding extensions. Yeah.
S1: A whole bunch of vulnerabilities in AI coding extensions, Microsoft patches,
S1: zero day in office flaw. Fortinet has had a whole
S1: bunch of issues. If you're running that stuff, hopefully you're
S1: up to date. Let's see here national security. I'm not
S1: even going to go there. I mean, how much change
S1: is happening with the AI situation. And on top of that,
S1: we've got national security, international politics, like, oh my goodness.
S1: Like I there's just so much going on. I'm actually
S1: going to stop it here. I think this is a good, uh,
S1: sort of re um, immersing into the, uh, the audio
S1: format here and, um, look forward to, uh, keeping this
S1: going in one format or another. Uh, let me know
S1: or reach out, uh, via whatever method and let me
S1: know if you like this Freeform content. If you still
S1: want the news, maybe you want that news in a
S1: different format, but still via audio. And also let me
S1: know how how much you like the little short clips
S1: that I was doing, uh, a couple of months ago
S1: where I would just give, like a little clean idea, just, uh,
S1: let me know and we'll see you in the next one.