WEBVTT - Starting 2026

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<v S1>All right. Welcome to unsupervised learning. This is Daniel Miessler.

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<v S1>It has been a long time. Sorry about that. Yeah,

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<v S1>I've been, uh. Yeah, it's hard to explain. Uh, so

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<v S1>many things going on. Just trying to figure out what

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<v S1>gives you guys the maximum amount of value. So I've

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<v S1>been trying different formats on YouTube and obviously on the

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<v S1>podcast as well, with little clips of like, uh, I

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<v S1>don't know, interesting things that I'm thinking about or whatever.

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<v S1>So I think those are a high value because, you know,

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<v S1>1 or 2 minutes or five minutes or whatever. And

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<v S1>it's very condensed. The thing I didn't like about the podcast,

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<v S1>which I still don't like, you know, someone just reading

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<v S1>their newsletter or kind of going through the newsletter or whatever.

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<v S1>What people kept responding to is like, hey, listen, you know,

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<v S1>it's not so much about reading the news or whatever.

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<v S1>I can get that from the newsletter, although some people

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<v S1>did want to get the news from the audio because

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<v S1>they don't like reading newsletters. It's it's it's hard to,

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<v S1>you know. Basically, uh, do the right thing for everyone

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<v S1>at the same time. Um, so that's something I'm still

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<v S1>thinking about and experimenting with. The part that people really,

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<v S1>really wanted to come back was kind of the first

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<v S1>part of the newsletter where I'm just kind of free forming,

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<v S1>you know, thoughts and just talking about what I think

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<v S1>matters and stuff like that. It's it's more like the

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<v S1>tangents is what people liked, which makes sense, because that's

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<v S1>the same stuff I like from other people. So, um,

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<v S1>with that in mind, that's what I'm going to do

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<v S1>right now is kind of go into some thoughts from

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<v S1>the last few months, which have been absolutely insane. And

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<v S1>before I do that, I'm actually going to read a

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<v S1>thing from our sponsor for this episode. Preventing exploitation is

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<v S1>all about removing reachability. Knock knock. Does this through allow

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<v S1>listing at the network layer tied to an identity? Your

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<v S1>servers say invisible, unreachable, and unexplainable by default. Knock knock

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<v S1>dynamically and safely updates firewall trusted sources, allowing only what's needed,

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<v S1>just in time. Removing access automatically. It runs on premise,

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<v S1>uses the controls you already have, and requires no end

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<v S1>user installation. If you want to see how this could

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<v S1>actually work in your environment, book a call at knock

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<v S1>knock knock knock I. Oh yeah, so that's the, uh,

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<v S1>sponsor copy there. I just want to say I actually

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<v S1>talked to the founder of this company and, uh, really cool.

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<v S1>So basically, uh, I got into security through network security.

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<v S1>I was like a hardcore like firewall engineer admin guy

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<v S1>at a company called CIS, and it was just insane. Um,

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<v S1>so anyway, the whole concept here is, uh, kind of

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<v S1>similar to port knocking, which is why they call themselves

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<v S1>knock knock. Um, anyway, it's a cool idea. It's like

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<v S1>everything is turned off by default. And then you do

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<v S1>like this strong authentication to get into a thing, and

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<v S1>all you've done is changed your normal like control rules,

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<v S1>like firewall rules, um, you know, router access, whatever it is.

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<v S1>And it's like, that's the only thing that changes, right?

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<v S1>And yeah, it's just a really cool concept. I love

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<v S1>it just reminds me of Unix actually. I was telling

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<v S1>him as well. Reminds me of Unix because it's like, look,

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<v S1>just do the basics really well. Like firewall rules already work. Anyway, um, okay.

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<v S1>So going back to what I was saying, um. Yeah,

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<v S1>I just feel really sort of cliche and trite saying

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<v S1>that things are different now. Oh, there's been so much change.

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<v S1>I just don't even know how to encapsulate that. It's

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<v S1>I guess one way of saying it is, I feel

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<v S1>like the last three months in AI have been equal

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<v S1>to or greater than the ChatGPT bump itself, and the

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<v S1>last month has been greater than the previous two months.

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<v S1>So the speeding up is speeding up. It's essentially what's happening.

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<v S1>And I want to talk about one particular piece of

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<v S1>tech which is now called open Claw. It was molt

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<v S1>bot before that and before that it was called clawed

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<v S1>bot um claw. And essentially what this technology is now

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<v S1>called open claw. It's like a lobster as the logo.

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<v S1>Essentially what it is, is an autonomous. Agent. I think

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<v S1>it is actually AGI. It is very close to AGI.

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<v S1>It's not quite perfect because it's not like an installable product.

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<v S1>But we've been talking here for a very long time

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<v S1>about how AGI is essentially going to be a product.

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<v S1>It is a piece of technology that is general enough

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<v S1>to replace an average knowledge worker. Right. Because just as

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<v S1>a review. Right. The reason nothing has been able to

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<v S1>replace a knowledge worker is because knowledge work is too varied.

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<v S1>It's too general, it's too strange. Right. The boss comes

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<v S1>back and they're like, hey, yeah, we're not doing that anymore.

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<v S1>We're doing this other thing. Oh, by the way, can

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<v S1>you get some tickets for this? Oh, by the way,

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<v S1>take the salesperson out for lunch or whatever. That, of course,

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<v S1>will require a robot. But, you know, put together a

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<v S1>perfect invite. Um. Hey, rewrite that report. Um, I kind

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<v S1>of want it to be like this report instead. Or, hey,

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<v S1>make sure you aren't offending these people or whatever. It's

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<v S1>like just random tasks that people are given during the

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<v S1>course of any given day. Even for developers who are

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<v S1>supposedly doing very specific work, half of their job is

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<v S1>still meetings, right? Or more, you still have to do

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<v S1>JIRA tickets. You still have to do like meetings and

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<v S1>like all sorts of other, you know, you got training

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<v S1>you have to do, interacting with a team, changing your

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<v S1>goals like all of that is extremely general. It's extremely different.

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<v S1>You can't have hard coded rules for that. And this

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<v S1>is why no tech has ever been able to, you know,

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<v S1>come close to that. Um, and do nearly as good

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<v S1>of a job as even an average human doing this

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<v S1>because humans are generally intelligent. We have natural nigh natural

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<v S1>general intelligence, and this is what is changing with this

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<v S1>open cloud project. Essentially what it is, is it's a

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<v S1>general system. They came up with their own AI loop. Um,

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<v S1>it's different than cloud code. It's somewhat similar, of course,

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<v S1>because these are all pretty similar, but they've got their

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<v S1>own sort of way that they're solving problems. And what

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<v S1>you do is you just go and install this thing

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<v S1>on a VPN, you install it on a mac mini. Ideally,

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<v S1>you put it on a system that has some, uh,

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<v S1>natural separation in it because it basically digs deep into

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<v S1>the system that you put it on. Right? And the

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<v S1>idea is it should be able to dig deep because

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<v S1>it gets full control of the system, right? It could

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<v S1>spawn things. It could look at screenshots. It can open

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<v S1>a browser and click on things like solving CAPTCHAs and

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<v S1>stuff like that. But the craziest part? Okay, the craziest

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<v S1>part about this thing is that it has this giant

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<v S1>fleet of tools for doing work. And it just keeps

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<v S1>trying to do things until it can do it. And

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<v S1>this is the reason I'm saying that this thing is

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<v S1>close to AGI. It is close to AGI because there's

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<v S1>an example that the creator of this thing actually gives.

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<v S1>I think he asked to book an appointment somewhere. And, um,

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<v S1>it was like, yeah, I tried to use their website.

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<v S1>It didn't work. Um, and he came back later. Okay.

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<v S1>The appointment was made. And then when he came back

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<v S1>and looked at the log, he's like, hey, how did

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<v S1>you do this? It was like, well, I tried the website.

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<v S1>That didn't work. Like something was wrong with their API.

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<v S1>So what I did was I learned how to speak

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<v S1>by myself. I saw we had an 11 labs key.

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<v S1>So I basically just learned how to speak. And I

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<v S1>called the company and I told them I wanted a

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<v S1>reservation for this time or whatever it was, and accepted.

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<v S1>And then I put it on your calendar. This is

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<v S1>the difference. This is the difference. The difference is the

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<v S1>thing hit an obstacle just like a human, and it

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<v S1>went around the obstacle just like a human. Now imagine

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<v S1>this inside of your company. Okay, now imagine this thing

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<v S1>has access to the wiki. It has access to confluence.

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<v S1>It has access to Google Drive. It has access to

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<v S1>JIRA and everything else where it could learn about the

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<v S1>company and how it works. Right? Plus, it has access

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<v S1>to slack. It could reach out to other team members.

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<v S1>It could reach out to the boss and say, hey,

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<v S1>this is what I'm thinking about for this project or whatever.

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<v S1>The difference in this systems like interactivity, first of all,

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<v S1>it's proactive as well, right? So it's learning about you.

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<v S1>It's learning about your tasks. It updates itself, but it

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<v S1>also sets reminders. It's like, hey, I need to send

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<v S1>out this report at this time. Hey, I need to

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<v S1>check in with my boss at this time. Hey, I

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<v S1>need to check in with whatever at this time. It's

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<v S1>designed to be a personal assistant. That's kind of like

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<v S1>how it's framed. It's also framed as an employee, which

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<v S1>is kind of what I'm talking about. But what I'm

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<v S1>specifically talking about is the ability to be an actual

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<v S1>worker inside of a company. For a company to actually

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<v S1>say instead of hiring Sarah or Chris or Raj or whoever,

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<v S1>I'm going to just install a bunch of these instead.

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<v S1>That to me is the AGI moment. Now, I've been

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<v S1>saying I expect this to happen in the form of

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<v S1>a product or a project or whatever before 2028, right?

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<v S1>I said 25 to 28 is when when I think

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<v S1>this is going to happen. Now some people are arguing, well,

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<v S1>that happened last year, right? Because you could technically stitch

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<v S1>all this together before. But I don't that wasn't my standard.

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<v S1>My standard was it's an actual thing that you could

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<v S1>go and get and easily install. And most importantly, I

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<v S1>have a much higher standard, which is our companies actually

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<v S1>using it. Are there real companies, startups, medium size, large

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<v S1>companies where they're like, hey, we're literally going to use

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<v S1>X product called replace humans, AI or whatever it is.

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<v S1>I just made that up. It's not real, but you

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<v S1>get what I'm saying, right? If they're actually installing it

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<v S1>and then they're like, hey, we were able to cut

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<v S1>our headcount 30% because we installed so and so product.

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<v S1>And then you come back and look. And it's not

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<v S1>like they did this trial because the board forced them to.

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<v S1>But over the course of months and years, I would

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<v S1>say even months or weeks, like if it just works,

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<v S1>if it actually works, they keep it going, they actually

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<v S1>increase their usage of it. And then you start to

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<v S1>see virally. Yeah, more and more companies are adopting it. Boom.

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<v S1>That is product market fit for an employee replacing technology.

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<v S1>That to me is AGI. I thought that was going

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<v S1>to be sometime in 2027. I thought 2026 was going

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<v S1>to lay this out in like the agents were going

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<v S1>to get way better and the scaffolding was going to

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<v S1>get way better or whatever. This guy released this thing

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<v S1>a couple of weeks ago, like a month ago, something

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<v S1>like that. Very recently it has gone Absolutely, completely viral.

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<v S1>Absolutely viral. Everyone is messing with this thing. It is

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<v S1>unbelievably fun and useful to use, and the more tools

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<v S1>that you give it, you got to be careful here.

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<v S1>The more tools that you give it, the more scope

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<v S1>that you give it, the more powerful it gets, the

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<v S1>more fun it is to use. And you got to

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<v S1>watch out for this, especially around prompt injection. That's a

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<v S1>whole separate talk show. But yeah, prompt injection is pretty

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<v S1>nasty because someone can find out that you're using this

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<v S1>and then they start sending in a whole bunch of

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<v S1>prompt injection to all your email addresses and whatever, uh,

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<v S1>chat locations, everything. Right. So you got to watch out

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<v S1>for that. But the point here is this thing is

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<v S1>open source. Completely open source, absolutely going viral. There's already

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<v S1>multiple twin projects. There's so many companies spinning up off

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<v S1>of this. and they're just going to take and rebuild

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<v S1>the whole stack in their own way, right? Because he's

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<v S1>got some pretty cool architecture there that makes it all work.

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<v S1>But every single part of it is open, right? So

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<v S1>all these companies are like, oh, worker replacement. We're talking

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<v S1>about what is it, something like $40 trillion somewhere between

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<v S1>like I think it's if I can remember the stat,

0:14:18.240 --> 0:14:24.200
<v S1>it's something like 30 to $70 trillion per year companies

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<v S1>spend on doing, uh, compensation for employees, you know, salaries,

0:14:31.400 --> 0:14:36.560
<v S1>you know, uh, insurance, all that kind of stuff. Let's

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<v S1>just call it 40 trillion, $40 trillion. That's the Tam

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<v S1>for this. And somebody just released a formula completely open

0:14:46.920 --> 0:14:51.250
<v S1>source for how to build it, But not theoretical. This

0:14:51.250 --> 0:14:54.570
<v S1>thing actually acts like an employee when you talk to it.

0:14:55.170 --> 0:15:00.370
<v S1>It feels real. It responds real. It like, hey, you know,

0:15:00.410 --> 0:15:02.610
<v S1>I'm not sure you've eaten yet, blah blah blah. I'm

0:15:02.610 --> 0:15:05.130
<v S1>looking at your calendar. You got to get some food. Hey,

0:15:05.130 --> 0:15:09.290
<v S1>don't forget to take your supplements. Um. Oh. Also, you know,

0:15:09.330 --> 0:15:12.370
<v S1>Julie is going to be picking up the kids later.

0:15:12.410 --> 0:15:14.130
<v S1>Do you want me to text her and have her

0:15:14.130 --> 0:15:17.970
<v S1>meet you? Blah blah blah. Like it is seriously that good?

0:15:19.250 --> 0:15:22.290
<v S1>And keep in mind, this is just a YOLO project

0:15:22.290 --> 0:15:25.570
<v S1>from a single person. Like there's more contributors now, but

0:15:25.570 --> 0:15:28.770
<v S1>this is a single person with a project he didn't

0:15:28.770 --> 0:15:31.850
<v S1>expect to blow up. What's going to happen when people

0:15:31.850 --> 0:15:36.890
<v S1>take that? And also using AI, also using this AI

0:15:37.810 --> 0:15:40.370
<v S1>go and actually start building better and better versions of

0:15:40.370 --> 0:15:45.730
<v S1>this thing and for the purpose of actually replacing human employees.

0:15:46.010 --> 0:15:54.620
<v S1>So all this to say. It is a really hard

0:15:54.660 --> 0:15:59.300
<v S1>time to be just a regular. Keep your head down,

0:15:59.300 --> 0:16:03.980
<v S1>just do your work. Knowledge worker if you are that person.

0:16:06.660 --> 0:16:11.140
<v S1>Or maybe you're not because you're listening to this podcast.

0:16:11.140 --> 0:16:13.420
<v S1>So you're you're kind of like, you read a lot.

0:16:13.460 --> 0:16:18.060
<v S1>You you, uh, yeah, you're probably at one of the

0:16:18.060 --> 0:16:21.380
<v S1>higher edges if you're listening to this. But all of

0:16:21.420 --> 0:16:25.020
<v S1>we have lots of friends. We have lots of coworkers. Right?

0:16:25.100 --> 0:16:31.540
<v S1>Not everyone is exceptional by definition. Um, all these people,

0:16:32.020 --> 0:16:37.580
<v S1>they're they're screwed. They are actually screwed. I seriously, seriously

0:16:37.580 --> 0:16:40.980
<v S1>believe that. And this is why so much of the

0:16:41.020 --> 0:16:42.980
<v S1>work that I'm trying to do is to to wake

0:16:42.980 --> 0:16:46.000
<v S1>people up. I call it activating. We've got to activate

0:16:46.000 --> 0:16:48.920
<v S1>them into thinking. No, no, no, you've got to be reading.

0:16:49.080 --> 0:16:51.920
<v S1>You've got to be looking at your frames, your mindsets,

0:16:52.200 --> 0:16:55.360
<v S1>the way you're thinking about approaching life, the way you're

0:16:55.360 --> 0:16:57.840
<v S1>thinking about approaching work. You've got to come to the

0:16:57.840 --> 0:17:02.200
<v S1>table with ideas. You've got to get your AI skill

0:17:02.240 --> 0:17:08.240
<v S1>set so far advanced, um, that that you're able to

0:17:08.280 --> 0:17:11.280
<v S1>end to end, deliver solutions. This is kind of the

0:17:11.879 --> 0:17:15.040
<v S1>the answer to. Okay. Yeah, but so what now what

0:17:15.040 --> 0:17:17.680
<v S1>what do I do? How can I make this better?

0:17:18.480 --> 0:17:22.720
<v S1>And the answer is I did a thing yesterday, uh,

0:17:23.719 --> 0:17:28.760
<v S1>basically saying that I think the solution is, um, three

0:17:28.760 --> 0:17:32.480
<v S1>things that I think are the filters. Okay. The three

0:17:32.480 --> 0:17:39.840
<v S1>filters in my mind are drive, creativity and AI tooling drive.

0:17:40.399 --> 0:17:42.600
<v S1>That's a harder one to get. It's kind of like

0:17:42.639 --> 0:17:48.090
<v S1>an attribute, but I do think that you can cultivate it. Um,

0:17:48.090 --> 0:17:49.930
<v S1>I think it's the most important because if you don't

0:17:49.929 --> 0:17:52.810
<v S1>have it, then it doesn't matter how creative you are

0:17:52.810 --> 0:17:55.489
<v S1>or how good you are with AI, the people who

0:17:55.490 --> 0:17:58.330
<v S1>are going to crush it in this world that we're

0:17:58.330 --> 0:18:04.090
<v S1>basically bifurcating into with like this top percentage and everyone else. Um,

0:18:04.929 --> 0:18:08.169
<v S1>and I don't mind that characterization because it's possible to

0:18:08.209 --> 0:18:13.209
<v S1>become the top percent if you do these things right. Um,

0:18:15.050 --> 0:18:18.810
<v S1>it's like in order to get into that group, it

0:18:18.810 --> 0:18:23.170
<v S1>is basically having this drive. It is having the creativity.

0:18:23.609 --> 0:18:26.729
<v S1>And then, you know, having the AI skills. So the

0:18:26.730 --> 0:18:30.090
<v S1>first one is the drive. You just the people who

0:18:30.090 --> 0:18:33.850
<v S1>are going to win. Are these really driven? Just they

0:18:34.010 --> 0:18:37.809
<v S1>they can't sit idle. They just they're always wanting to

0:18:37.850 --> 0:18:43.149
<v S1>do do do create create create build build build. Um,

0:18:43.149 --> 0:18:46.070
<v S1>that's the first step. Now, if you have that, then

0:18:46.070 --> 0:18:49.230
<v S1>it's about creativity. It's about okay, what ideas do you have?

0:18:49.510 --> 0:18:54.869
<v S1>What do you understand about the world and wish was different, right.

0:18:54.909 --> 0:18:59.030
<v S1>What do you want to see created that doesn't exist? Right.

0:18:59.070 --> 0:19:02.869
<v S1>So it's like you have ideas bubbling inside of you

0:19:02.990 --> 0:19:05.270
<v S1>that want to get out. And there's lots of people

0:19:05.270 --> 0:19:09.189
<v S1>who are like that, but they've never been able to execute. Right.

0:19:09.230 --> 0:19:12.789
<v S1>So they kind of like quieted their minds. This is

0:19:12.790 --> 0:19:15.790
<v S1>the other thing I'm trying to do is like, remind them, no,

0:19:15.790 --> 0:19:18.829
<v S1>you did used to have ideas. You did used to

0:19:18.869 --> 0:19:20.950
<v S1>want to write a book. You did used to want

0:19:20.949 --> 0:19:23.950
<v S1>to start a business. But over time, more and more

0:19:23.949 --> 0:19:27.830
<v S1>people around you basically like, oh, no, that's for, you know,

0:19:27.869 --> 0:19:31.629
<v S1>really smart people. That's for really business savvy people. That's

0:19:31.629 --> 0:19:34.750
<v S1>not for you. And we've been convinced over time to

0:19:34.790 --> 0:19:40.359
<v S1>be mediocre. Well, mediocre will not work anymore. It is

0:19:40.359 --> 0:19:44.479
<v S1>done like it was done in 24. It was definitely

0:19:44.879 --> 0:19:50.039
<v S1>went out completely in 25 and 26. Forget about it. Mediocre.

0:19:50.199 --> 0:19:55.680
<v S1>You will get crushed. And the next piece. Okay, I'm

0:19:55.679 --> 0:19:58.999
<v S1>just going to go to the next one. So the

0:19:59.000 --> 0:20:02.879
<v S1>next one after drive and then creativity and having the

0:20:02.879 --> 0:20:06.760
<v S1>ideas because those are two separate things. Then you need

0:20:06.760 --> 0:20:10.600
<v S1>the AI skills. That is this is the meta skill.

0:20:10.919 --> 0:20:14.639
<v S1>Because what AI skills allow you to do is basically

0:20:14.639 --> 0:20:20.400
<v S1>go end to end, to go vertical with everything you're

0:20:20.399 --> 0:20:23.359
<v S1>trying to do instead of being one piece of it.

0:20:23.359 --> 0:20:25.840
<v S1>And you need the finance person, oh, I need my

0:20:25.840 --> 0:20:29.199
<v S1>technical founder with me. I need a coder. I need,

0:20:29.240 --> 0:20:32.960
<v S1>you know, marketing. I need all this. Nope. You don't

0:20:32.959 --> 0:20:37.440
<v S1>need that stuff as much nearly anymore, right? You can

0:20:37.530 --> 0:20:41.169
<v S1>actually do most of this yourself, especially the coding. Um,

0:20:41.169 --> 0:20:46.250
<v S1>it's funny, it used to be ideas don't matter. Execution

0:20:46.250 --> 0:20:49.369
<v S1>is everything. Now it's kind of like execution doesn't matter

0:20:49.369 --> 0:20:52.289
<v S1>so much. Anyone can execute. The question is, what are

0:20:52.290 --> 0:20:55.490
<v S1>you executing on? What is your vision? What are you

0:20:55.490 --> 0:20:58.330
<v S1>actually trying to bring into the world? Right. So it's

0:20:58.330 --> 0:21:04.129
<v S1>a major inversion there. But bottom line here is the

0:21:04.129 --> 0:21:10.649
<v S1>filtering system is in my mind these three things. It

0:21:10.649 --> 0:21:15.169
<v S1>is the drive. It is the creativity and it is

0:21:15.169 --> 0:21:20.050
<v S1>the AI tooling. And I think when we're thinking about, okay,

0:21:20.090 --> 0:21:22.570
<v S1>what do we teach young people? What do we teach ourselves?

0:21:22.570 --> 0:21:26.489
<v S1>How do we continue our education? What should people be learning?

0:21:27.209 --> 0:21:29.889
<v S1>How do people get ready for what's coming? It is

0:21:29.889 --> 0:21:34.850
<v S1>that drive creativity, AI, tooling. And I do have sort

0:21:34.850 --> 0:21:37.270
<v S1>of a hack there, which I'm going to be talking

0:21:37.270 --> 0:21:43.270
<v S1>about in the human 3.0 stuff, which is. In order

0:21:43.270 --> 0:21:45.869
<v S1>to have kind of like opinions. And this goes to

0:21:45.909 --> 0:21:49.030
<v S1>the creativity one, in order to have opinions and ideas

0:21:49.030 --> 0:21:51.430
<v S1>and thoughts, I feel like you need to be bombarded

0:21:51.429 --> 0:21:56.189
<v S1>with input, high quality input. So I think there's a

0:21:56.189 --> 0:21:59.869
<v S1>cheat here, which of course we recommend a lot here

0:21:59.869 --> 0:22:06.310
<v S1>at UL, which is read 100 to 1000 great books.

0:22:07.109 --> 0:22:09.310
<v S1>And the more of these books that you're reading, the

0:22:09.310 --> 0:22:13.830
<v S1>more input you have, the more you know, ideas you're

0:22:13.830 --> 0:22:16.429
<v S1>going to have, and you're going to really cover the sea,

0:22:16.669 --> 0:22:19.629
<v S1>and the sea might actually get you so excited. It

0:22:19.629 --> 0:22:23.750
<v S1>helps you with the drive as well. Right? So number one.

0:22:24.270 --> 0:22:27.469
<v S1>And from there it's just about, you know, getting your

0:22:27.469 --> 0:22:30.750
<v S1>AI skills massively up to up to date, keeping them

0:22:30.750 --> 0:22:33.790
<v S1>up to date. And that allows you to execute. So

0:22:33.919 --> 0:22:37.320
<v S1>basically drive is like wanting to do anything at all.

0:22:37.320 --> 0:22:40.399
<v S1>Creativity is what are you actually doing? And then AI

0:22:40.439 --> 0:22:44.880
<v S1>is your ability to execute on it. So that is

0:22:45.959 --> 0:22:49.280
<v S1>primarily what I wanted to talk about in this one. Um,

0:22:49.639 --> 0:22:52.200
<v S1>there's lots of news going on. Let's see, what else

0:22:52.199 --> 0:22:54.679
<v S1>do we have for news? Uh, see, I went on

0:22:54.719 --> 0:22:58.480
<v S1>the Cognitive Revolution podcast with Nathan. That was a really

0:22:58.480 --> 0:23:04.639
<v S1>fun conversation. You can get that on YouTube. Um, let's

0:23:04.639 --> 0:23:12.000
<v S1>see here, just skimming through this. Uh, AI coding extensions. Yeah.

0:23:12.040 --> 0:23:17.119
<v S1>A whole bunch of vulnerabilities in AI coding extensions, Microsoft patches,

0:23:17.159 --> 0:23:20.720
<v S1>zero day in office flaw. Fortinet has had a whole

0:23:20.719 --> 0:23:23.879
<v S1>bunch of issues. If you're running that stuff, hopefully you're

0:23:23.879 --> 0:23:28.640
<v S1>up to date. Let's see here national security. I'm not

0:23:28.639 --> 0:23:33.539
<v S1>even going to go there. I mean, how much change

0:23:33.540 --> 0:23:36.619
<v S1>is happening with the AI situation. And on top of that,

0:23:36.619 --> 0:23:41.859
<v S1>we've got national security, international politics, like, oh my goodness.

0:23:41.899 --> 0:23:46.179
<v S1>Like I there's just so much going on. I'm actually

0:23:46.179 --> 0:23:49.019
<v S1>going to stop it here. I think this is a good, uh,

0:23:49.300 --> 0:23:55.180
<v S1>sort of re um, immersing into the, uh, the audio

0:23:55.179 --> 0:23:59.859
<v S1>format here and, um, look forward to, uh, keeping this

0:23:59.859 --> 0:24:03.940
<v S1>going in one format or another. Uh, let me know

0:24:03.980 --> 0:24:07.539
<v S1>or reach out, uh, via whatever method and let me

0:24:07.540 --> 0:24:10.619
<v S1>know if you like this Freeform content. If you still

0:24:10.619 --> 0:24:12.539
<v S1>want the news, maybe you want that news in a

0:24:12.540 --> 0:24:16.100
<v S1>different format, but still via audio. And also let me

0:24:16.100 --> 0:24:18.540
<v S1>know how how much you like the little short clips

0:24:18.540 --> 0:24:20.659
<v S1>that I was doing, uh, a couple of months ago

0:24:21.340 --> 0:24:25.379
<v S1>where I would just give, like a little clean idea, just, uh,

0:24:25.379 --> 0:24:27.539
<v S1>let me know and we'll see you in the next one.