WEBVTT - UL NO. 459: New Active 0-day Exploitation, AI That Sees Your Open Apps, The RebootAI Project

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<v S1>That's wizard Tolowercase ul. Welcome to Unsupervised Learning, a security,

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<v S1>AI and meaning focused podcast that looks at how best

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<v S1>to thrive as humans in a post AI world. It

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<v S1>combines original ideas, analysis and mental models to bring not

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<v S1>just the news, but why it matters and how to respond.

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<v S1>All right. Welcome to unsupervised learning. This is Daniel Miessler.

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<v S1>This is episode 459 of the podcast. All right. So

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<v S1>had a great conversation with Rob Allen from Threatlocker about

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<v S1>their approach to zero Trust. And it turned out to

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<v S1>be a really interesting conversation. I always like to dive

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<v S1>into what somebody means when they say zero trust, because

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<v S1>it could be anywhere from total horsecrap to pretty decent,

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<v S1>and I really liked Rob's approach in responses there, so

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<v S1>definitely check that out. Got you all membership. Black Friday

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<v S1>sale just started 20% off the first month, so or

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<v S1>the first year. So go check that out. And jumping

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<v S1>right into security. Actually, first of all, um, did a

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<v S1>huge upgrade to my ubiquiti gear now moving towards a

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<v S1>ten gigabit world, which I talked a bit about last week,

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<v S1>and going to Saudi to speak at Blackhat EMEA. Mia

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<v S1>Blackhat Mia. Yeah Saudi Arabia next week. Going to be awesome.

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<v S1>All right. Jumping into security. This one didn't get near

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<v S1>enough coverage. I don't think ChatGPT has basically a new

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<v S1>feature that could read code from Mac OS. So apps

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<v S1>like VSCode, Xcode, terminal, it could basically read the app

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<v S1>and understand what it's saying and doing, and then give

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<v S1>you analysis based on that. And I think this is

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<v S1>getting closer to what a whole bunch of people in

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<v S1>AI are actually working on, which is what I believe

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<v S1>to be like an inevitable future, which is you can

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<v S1>see all the screens, right? I'm looking at three screens

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<v S1>right now. Ideally, my eye would be looking from inside

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<v S1>the computer because it would have like agent access, like

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<v S1>we already talked about. But also I wanted to be

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<v S1>able to see my surroundings. I wanted to be able

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<v S1>to see my cameras. I wanted to be able to

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<v S1>see around me, behind me, especially behind me. If you're

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<v S1>out in the city walking around and also cameras or

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<v S1>also Microphones and other types of sensor, but mostly visual

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<v S1>and audio. And that way it can be consuming, you know,

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<v S1>the environment all the time, constantly parsing what's going on

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<v S1>and constantly doing analysis and giving you like, views inside

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<v S1>of a heads up display or, you know, glasses or

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<v S1>lenses or however that interface is going to be, depending

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<v S1>on how far the tech is. But the most important

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<v S1>thing is it has to be seeing what you're seeing

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<v S1>and even more than what you're seeing. Big problem right

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<v S1>now is the on ramp to using AI. It's not

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<v S1>a problem of the models themselves. The models are getting

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<v S1>really smart. The problem is how do you get stuff

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<v S1>into the model and how do you get it out.

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<v S1>That's the problem. So this type of thing is a

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<v S1>really huge advance because it's able to see inside your apps.

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<v S1>And I'm really excited about this future. I've talked about

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<v S1>it a lot. I've talked about it in the predictable

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<v S1>path of AI. It's just that I'm not really going

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<v S1>to trust this. There's already a couple of companies who

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<v S1>will watch your entire screen and will upload that stuff,

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<v S1>and they will do the parsing and they will send

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<v S1>you back some really cool stuff. Like there's one particular company,

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<v S1>I think they changed their name. It's called rewind. Or

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<v S1>maybe rewind is the new name. But anyway, I signed

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<v S1>up for their new, uh, gadget, which should be coming soon.

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<v S1>I did not give them access to my whole computer

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<v S1>because I could have the calendar open or a message

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<v S1>or something, and it's like you could be doxing your friends.

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<v S1>You don't know what's going to happen. Most importantly, you

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<v S1>don't know how secure that startup is. And having consulted

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<v S1>for startups in security specifically for decades, I'm not sending

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<v S1>my data to those startups. I basically only trust like

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<v S1>one company that much, both on the security side and

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<v S1>also on the privacy side, and just how seriously they

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<v S1>take this stuff, combined with a lack of conflicts of interest.

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<v S1>And that's Apple. I would say Google is just as competent,

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<v S1>maybe even more competent on the security side, I would say.

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<v S1>But the problem is they also make their money off

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<v S1>of ads or a lot of their money off of ads.

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<v S1>So I just don't like the idea of like them

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<v S1>having all that data and then being able to sell

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<v S1>it or sell things to me. I don't like the

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<v S1>conflict of interest there, even though I like the security.

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<v S1>So that's why I mostly only trust two companies and

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<v S1>mostly only Apple. But this is where this is going.

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<v S1>Continuous monitoring all the time with as many sensors as possible. Front, back,

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<v S1>inside your apps, inside your phone. That's where everyone is

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<v S1>rushing to. Even if they don't know that they're rushing

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<v S1>to that location. And that's why I think Google and

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<v S1>Apple have a massive advantage because they have the device, right?

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<v S1>I'm on Apple for phone, I'm on Apple for Mac

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<v S1>and desktop and laptop. So because they are the OS,

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<v S1>they have a massive advantage here. Okay. Palo Alto Networks

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<v S1>has released indicators of compromise IOCs for a new zero

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<v S1>day vulnerability affecting firewalls. VMware confirmed that threat actors are

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<v S1>exploiting two vCenter server vulnerabilities, and ones like a 9.8

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<v S1>and the other ones like a seven something I and

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<v S1>Tech Anthropic has a new prompt improver that takes the

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<v S1>given prompt and writes a better one. Really cool to

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<v S1>see people getting in on this. This is part of

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<v S1>the overall ecosystem, right? Um, and we got another one here. Uh,

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<v S1>OpenAI might launch an AI agent tool called Operator in January,

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<v S1>and it will compete with anthropic computer use. I think

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<v S1>agents is going to be the biggest thing that happens

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<v S1>in 2025 for AI. And this is part of a

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<v S1>bigger trend that I've been talking about, where it's more

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<v S1>about the ecosystem. Okay, so if I if I actually

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<v S1>click and open this thing here, it's not just about

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<v S1>the models. Okay. So the big pieces that I think

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<v S1>are part of these four pillars of an AI ecosystem,

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<v S1>the model itself, the post training of the model internal

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<v S1>tooling and agent functionality. So agent or model self-explanatory. Post-training

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<v S1>a set of highly proprietary tricks that magnify the overall

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<v S1>quality of the Raw model. Way to think of this

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<v S1>is to say that it's a way to connect model

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<v S1>weights to human problems. Okay. Internal tooling. All right. So

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<v S1>look at this list. High quality APIs, larger context sizes,

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<v S1>simple fine tuning. Haystack performance. Strict output control. External tooling

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<v S1>like function calling. Trust and safety features. Mobile apps. Prompt testing.

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<v S1>Voice mode and apps OS integration. Integrations with things like

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<v S1>make Zapier end to end and things like caching mode.

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<v S1>These are like all the internal tooling stuff that just

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<v S1>makes it easier. Think of it this way the problem

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<v S1>isn't the models. The problem is the on ramps onto

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<v S1>the models and the output out of them back into

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<v S1>your life. Okay, we are humans. We have human problems.

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<v S1>We have business problems. We have personal problems. whatever we

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<v S1>need to get that content, the content of that problem

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<v S1>into an AI and then back out into our lives,

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<v S1>into our actual brains, into the real world. That's what

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<v S1>this internal tooling piece is, right? Because if you can't

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<v S1>do this, well, then it doesn't matter if your model

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<v S1>is 13% better on some random benchmark, right? So the

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<v S1>models have to get better, but not as important as

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<v S1>actually getting the interfaces to the models better. So uh

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<v S1>oh yeah. And the next one relevant to the next

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<v S1>story there is agents. Right. So an AI component that

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<v S1>interprets instructions and takes on more of the work in

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<v S1>total AI workflows than just LLM response, for example, executing functions,

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<v S1>performing data lookups, etc. before passing on results. And I

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<v S1>actually have a improved version of that, which I won't

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<v S1>I won't go find it, but it's, uh, it's updated

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<v S1>on the AGI definition inside of raid the real world

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<v S1>I definitions if you want to go check that out. Okay,

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<v S1>so Sam Altman and Arianna Huffington have a thrive AI

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<v S1>health company and looking at doing personalized advice on sleep, food,

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<v S1>fitness and more, Google.org is putting 20 million in cash

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<v S1>and 2 million in cloud credits into a new initiative

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<v S1>to help researchers use AI for scientific breakthroughs. One of

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<v S1>the most important things that I think I could possibly

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<v S1>do is actively going to just invent new things, make new, uh, research, right?

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<v S1>Discover new things. Right? You take the smartest people in

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<v S1>the world who who are capable of doing this, and

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<v S1>there's very few of them. So if we can actually

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<v S1>scale that, that's where the real takeoff starts to happen.

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<v S1>Apple's M4 Max CPU transcribes audio twice as fast as

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<v S1>Nvidia's RTX A5000 GPU while using significantly less power. I

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<v S1>really want to get one of these clusters, like a

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<v S1>m4 Mac mini cluster would be super cool. But yeah,

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<v S1>a lot of people have been asking me, should I

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<v S1>do the cluster thing with smaller boxes? Or should I

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<v S1>just get one big rig? I feel like the next

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<v S1>generation or the current next the current generation in like

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<v S1>another year or so, it's still going to be better

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<v S1>to have one big box. It really depends on what

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<v S1>you need it for, but I would say we're not

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<v S1>quite there yet. With the cluster of smaller boxes, this

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<v S1>exo lab and things like that, they're a little bit experimental.

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<v S1>The best thing to do still is to buy a box.

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<v S1>I bought a pre-made one and it's fantastic. It's got

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<v S1>two 49 seconds in it. It's got tons of memory.

0:10:52.679 --> 0:10:56.370
<v S1>It's very, very fast. And it's just like plug and play.

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<v S1>Easy to do. I would say if this clustering technology

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<v S1>gets better and better, and there's more and more devices

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<v S1>like Mac minis and stuff like that that you could

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<v S1>piece together. Then it starts to be a compelling alternative

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<v S1>to actually buying a giant AI box. But until then,

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<v S1>I think the giant box is probably still going to

0:11:18.520 --> 0:11:22.720
<v S1>be better. Okay. iOS 18.2 is music recognition feature. Now

0:11:22.750 --> 0:11:25.719
<v S1>logs where you were when you actually heard the song.

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<v S1>So that's part of the metadata. Now pharma stocks have crashed.

0:11:28.990 --> 0:11:32.050
<v S1>This is under the humans label. Pharma stocks have crashed

0:11:32.050 --> 0:11:36.310
<v S1>after RFK Jr was announced to be taking over Health

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<v S1>and Human Services. Moderna is down like 40%. Yeah, I

0:11:39.940 --> 0:11:43.449
<v S1>don't know what this is currently at. Uh, down 562,

0:11:43.480 --> 0:11:45.160
<v S1>but that's for the day. So if we go to

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<v S1>three months, down 57% in the last three months, Moderna. Okay.

0:11:52.929 --> 0:11:55.630
<v S1>They're they're one of the people who came out with

0:11:55.630 --> 0:12:01.130
<v S1>the best vaccine for Covid, like 57% because of RFK.

0:12:01.160 --> 0:12:04.219
<v S1>I almost feel like this is a buy opportunity. How

0:12:04.220 --> 0:12:06.979
<v S1>could this not be a buy opportunity? It's not like

0:12:06.980 --> 0:12:11.060
<v S1>they suddenly stopped being able to make things. And I

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<v S1>just don't believe that people are going to let RFK

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<v S1>just destroy these companies. I just don't see that happening.

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<v S1>Hopefully they're going to be able to figure it out,

0:12:20.690 --> 0:12:23.540
<v S1>because RFK is going to do some cool stuff. Like

0:12:23.540 --> 0:12:25.460
<v S1>he's right about a lot of stuff. That's what's most

0:12:25.460 --> 0:12:28.040
<v S1>scary about a lot of these people. They're so right

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<v S1>about so many things, and the things they're wrong about

0:12:31.400 --> 0:12:34.640
<v S1>are mixed in with it. Right? And that's not just RFK.

0:12:34.670 --> 0:12:38.540
<v S1>That's a lot of people, including probably myself. So yeah,

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<v S1>I don't see how it doesn't bounce back from a 60%

0:12:44.300 --> 0:12:49.010
<v S1>cut from three months. Right. Personally, I'm not investing, but

0:12:49.010 --> 0:12:51.470
<v S1>I think it would probably be smart, at least in

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<v S1>the long term. Netflix had a record 65 million concurrent

0:12:56.390 --> 0:13:00.200
<v S1>streams during Mike Tyson versus Jake Paul fight. it did

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<v S1>have a bunch of connection problems though. Everyone I know

0:13:02.600 --> 0:13:06.320
<v S1>at Netflix got massively spammed with like, all their friends

0:13:06.320 --> 0:13:08.360
<v S1>texting and was like, hey, what's going on? It's like, yeah,

0:13:08.360 --> 0:13:11.720
<v S1>you think I'm in charge of actual throughput during a

0:13:11.720 --> 0:13:15.140
<v S1>Tyson fight? Like, stop texting me. New study shows that

0:13:15.140 --> 0:13:18.500
<v S1>treating bullying as a collective issue rather than an individual one,

0:13:18.500 --> 0:13:22.400
<v S1>can significantly reduce its occurrence in primary schools. I love

0:13:22.400 --> 0:13:26.000
<v S1>the concept. It's kind of like how the johns get

0:13:26.000 --> 0:13:29.750
<v S1>in trouble in some European countries for prostitution instead of

0:13:29.750 --> 0:13:34.520
<v S1>the prostitute, because it's like the ecosystem that's the actual problem, right?

0:13:34.610 --> 0:13:38.059
<v S1>So I like this idea of with bullying, I like

0:13:38.090 --> 0:13:40.699
<v S1>the idea of shaming the people around who didn't say

0:13:40.700 --> 0:13:42.800
<v S1>anything or do anything. And of course, we have to

0:13:42.830 --> 0:13:44.810
<v S1>be careful about shaming. We're talking about kids here in

0:13:44.809 --> 0:13:48.470
<v S1>a lot of cases or in most cases. But like,

0:13:48.530 --> 0:13:50.990
<v S1>I feel like all the marketing needs to be heading

0:13:50.990 --> 0:13:53.359
<v S1>in the direction of like if you are one of

0:13:53.360 --> 0:13:56.270
<v S1>these people watching and not saying anything, not reporting it,

0:13:56.300 --> 0:13:59.880
<v S1>not intervening like you don't want to be unsafe or whatever,

0:13:59.880 --> 0:14:02.339
<v S1>but you could go report it. You could do something

0:14:02.370 --> 0:14:06.449
<v S1>to prevent this from happening again. And if you're not

0:14:06.480 --> 0:14:09.780
<v S1>something like you are the bully or you are enabling

0:14:09.780 --> 0:14:11.699
<v S1>this and this is really bad, and I know this

0:14:11.700 --> 0:14:14.430
<v S1>is already an aspect of like a lot of these programs,

0:14:14.429 --> 0:14:19.860
<v S1>but I think it could be significantly magnified. Ideas reboot I,

0:14:20.070 --> 0:14:23.609
<v S1>I absolutely love this one. Absolutely love this one. I

0:14:23.610 --> 0:14:25.710
<v S1>can't remember where I got this idea. I think it's

0:14:25.710 --> 0:14:28.680
<v S1>been hit me from multiple places, but I want to

0:14:28.680 --> 0:14:32.040
<v S1>build a local AI that can run offline. Oh, I

0:14:32.040 --> 0:14:34.440
<v S1>know where I first heard this idea. It was actually

0:14:34.440 --> 0:14:38.190
<v S1>from Joseph Thacker, like a year and a half ago.

0:14:38.220 --> 0:14:40.110
<v S1>He's like, oh, I just want a thing that I

0:14:40.110 --> 0:14:43.920
<v S1>can use offline. But, um, more recently I got this

0:14:43.920 --> 0:14:47.190
<v S1>from somewhere else. I can't was it? Was it X

0:14:47.190 --> 0:14:51.870
<v S1>or Instagram? I don't know, but the idea is let's

0:14:51.870 --> 0:14:54.300
<v S1>say all the power is out, or let's say the

0:14:54.300 --> 0:14:58.290
<v S1>internet is out and let's say, um, oh, I know

0:14:58.290 --> 0:15:03.670
<v S1>what it was. The initial conversation I was having with Joseph,

0:15:03.700 --> 0:15:05.890
<v S1>and he actually brought it to me. It was his idea.

0:15:05.890 --> 0:15:09.460
<v S1>He was like, what if you could go back in time?

0:15:09.490 --> 0:15:12.850
<v S1>What could you bring with you to actually move society

0:15:12.880 --> 0:15:15.790
<v S1>forward or something like that? And it's like, I think

0:15:15.790 --> 0:15:18.100
<v S1>about this a lot way more than the Roman Empire.

0:15:18.100 --> 0:15:20.920
<v S1>I think a lot about like, could I actually move

0:15:20.950 --> 0:15:23.560
<v S1>science forward if I was put 200 years in the

0:15:23.560 --> 0:15:26.290
<v S1>past or 2000 years in the past, what could I

0:15:26.290 --> 0:15:28.840
<v S1>actually offer to them? I think someone makes a joke

0:15:28.840 --> 0:15:32.860
<v S1>about this in current stand up comedy. It's like, yeah, oh,

0:15:32.890 --> 0:15:37.870
<v S1>it's Nate Bathgate, Bargatze, whatever his name is. Um, it's

0:15:37.870 --> 0:15:41.350
<v S1>just like, yeah, um, there's going to be phones and

0:15:41.380 --> 0:15:44.770
<v S1>they're going to have satellite technology. Oh, really? What's the satellite? Well,

0:15:44.770 --> 0:15:47.020
<v S1>it's this thing that goes around. How do you make one?

0:15:47.050 --> 0:15:49.720
<v S1>What does it do? You're saying there's thousands of satellites

0:15:49.720 --> 0:15:52.690
<v S1>in the air and the Earth is actually round? Like,

0:15:52.720 --> 0:15:56.260
<v S1>can you prove anything about this? No, I can't. So

0:15:56.710 --> 0:16:01.960
<v S1>we we don't know how any of this is working, right? And, uh,

0:16:02.440 --> 0:16:05.380
<v S1>and we can't describe it to anyone. And more importantly,

0:16:05.380 --> 0:16:08.050
<v S1>if you lose the internet and there's like, say, a

0:16:08.050 --> 0:16:11.170
<v S1>meteor hits or whatever, I'm not going to go into

0:16:11.200 --> 0:16:13.630
<v S1>negativity right now too early in the show for that.

0:16:13.630 --> 0:16:17.140
<v S1>But let's say something bad happens and you are stuck

0:16:17.140 --> 0:16:19.600
<v S1>in your house and there's no internet. Let's say you're

0:16:19.600 --> 0:16:22.660
<v S1>not dying of hunger or thirst, but you don't have

0:16:22.660 --> 0:16:28.120
<v S1>the internet. Okay, so watch this. Tourniquets, sterilizing water, building shelters,

0:16:28.120 --> 0:16:33.100
<v S1>identifying edible plants. Which mushroom is actually will kill you.

0:16:33.100 --> 0:16:36.100
<v S1>And which mushroom can you put on a salad? These

0:16:36.100 --> 0:16:40.000
<v S1>are important distinctions to make. So check this out. What

0:16:40.000 --> 0:16:43.180
<v S1>if you had an AI that ran? We got to

0:16:43.180 --> 0:16:46.120
<v S1>assume solar power, right? Or maybe the grid actually works,

0:16:46.120 --> 0:16:48.850
<v S1>but there's no internet. Whatever. Just work with me. You

0:16:48.850 --> 0:16:51.670
<v S1>can show it. Pictures. You could take pictures, or you

0:16:51.670 --> 0:16:54.460
<v S1>could show it an actual live plant or whatever. All

0:16:54.460 --> 0:16:56.890
<v S1>you have to do is show this AI the particular

0:16:56.890 --> 0:16:59.470
<v S1>thing or you describe, hey, I need a shelter that

0:16:59.480 --> 0:17:02.270
<v S1>does this. I've got this much water. I got it

0:17:02.270 --> 0:17:04.790
<v S1>from this kind of creek. I live in this kind

0:17:04.790 --> 0:17:07.550
<v S1>of area. What kind of toxins are likely to be

0:17:07.550 --> 0:17:09.530
<v S1>in it? How can I get those toxins out? What

0:17:09.530 --> 0:17:12.530
<v S1>kind of filter can I build? Will these iodine tablets

0:17:12.560 --> 0:17:16.310
<v S1>actually work? I have these symptoms. Which drugs should I take?

0:17:16.340 --> 0:17:20.300
<v S1>You have a local model running. All it needs is power.

0:17:20.300 --> 0:17:23.330
<v S1>It doesn't need the internet. It doesn't need OpenAI. Think

0:17:23.330 --> 0:17:27.109
<v S1>of how much knowledge is inside of a llama two

0:17:27.140 --> 0:17:30.590
<v S1>or a llama three, or a llama four, or whatever.

0:17:30.590 --> 0:17:33.409
<v S1>Local model. And as long as you have power to

0:17:33.440 --> 0:17:35.990
<v S1>run it and it can actually see and you can

0:17:35.990 --> 0:17:39.109
<v S1>type to it, it can answer tons of stuff that

0:17:39.109 --> 0:17:43.550
<v S1>can actually keep you alive. Even better, let's go a

0:17:43.550 --> 0:17:46.550
<v S1>little sci fi, okay. It's just you and 10,000 other

0:17:46.550 --> 0:17:50.480
<v S1>people and the rest of the, let's say, the rest

0:17:50.480 --> 0:17:52.730
<v S1>of the planet got hit by a meteor or whatever.

0:17:52.730 --> 0:17:57.260
<v S1>You have to rebuild all of society. Okay? Irrigation. How

0:17:57.290 --> 0:18:00.570
<v S1>to how does the stoplight work? How does a combustion

0:18:00.570 --> 0:18:03.419
<v S1>engine work? What kind of metal do you need to

0:18:03.420 --> 0:18:06.629
<v S1>build in order to make a combustion engine? What are

0:18:06.630 --> 0:18:12.300
<v S1>all these different alloys? You can bootstrap a society with

0:18:12.300 --> 0:18:15.840
<v S1>one box. Isn't that crazy? You can bootstrap a society

0:18:15.840 --> 0:18:19.650
<v S1>with one box that you can have, like sitting next

0:18:19.650 --> 0:18:22.950
<v S1>to your NAS over here. You just need power. You

0:18:22.950 --> 0:18:24.810
<v S1>need power. Well, I guess you need the peripherals to

0:18:24.840 --> 0:18:27.270
<v S1>be able to talk to it and everything, but you

0:18:27.270 --> 0:18:32.310
<v S1>don't need that much. It's way more impressive than trying

0:18:32.310 --> 0:18:34.770
<v S1>to collect all of Wikipedia. I mean, that was the

0:18:34.770 --> 0:18:37.140
<v S1>other model, right? You just download Wikipedia and you have

0:18:37.140 --> 0:18:39.900
<v S1>a bunch of things you can look for. Not nearly

0:18:39.900 --> 0:18:43.020
<v S1>as good as a chatbot that you can ask questions.

0:18:43.020 --> 0:18:47.250
<v S1>And if it's visually oriented like you could just these

0:18:47.250 --> 0:18:50.070
<v S1>new models are getting amazing, right? It's like, show me

0:18:50.070 --> 0:18:53.520
<v S1>the design, show me a picture of it, draw me

0:18:53.520 --> 0:18:57.930
<v S1>a picture, design me whatever a compound that I could

0:18:57.930 --> 0:19:00.810
<v S1>defend my plants with because people are probably going to

0:19:00.810 --> 0:19:04.620
<v S1>come and get us whatever. Yeah. I don't have any guns.

0:19:04.770 --> 0:19:07.980
<v S1>How do I defend myself from these roving people who

0:19:07.980 --> 0:19:09.600
<v S1>are going to come try to get our stuff? You

0:19:09.600 --> 0:19:12.030
<v S1>could ask it anything. Ideally, it would be uncensored for

0:19:12.060 --> 0:19:13.830
<v S1>that reason. Right. You want to be able to ask

0:19:13.830 --> 0:19:17.310
<v S1>security questions. So all that to say, I'm going to

0:19:17.310 --> 0:19:21.360
<v S1>do a project called reboot I with reboot being like

0:19:21.359 --> 0:19:26.760
<v S1>Reboot Society or whatever, an offline oracle for emergencies. Um,

0:19:26.760 --> 0:19:29.940
<v S1>now it's such a cool idea. I'm sure a million

0:19:29.940 --> 0:19:32.340
<v S1>people have already had it, so they're probably already working

0:19:32.340 --> 0:19:34.770
<v S1>on it. So if anyone is hearing this or they're

0:19:34.770 --> 0:19:38.700
<v S1>reading this, um, send me a link and I'll just like,

0:19:38.730 --> 0:19:42.330
<v S1>go buy one and or procure one. If not, and

0:19:42.330 --> 0:19:45.030
<v S1>someone wants to help build one, I'm going to go

0:19:45.060 --> 0:19:47.790
<v S1>build this. I want this running in my house. I've

0:19:47.790 --> 0:19:50.730
<v S1>already got solar. I've got lots of ways to gather

0:19:50.730 --> 0:19:53.520
<v S1>energy and store it in batteries, and it would be

0:19:53.520 --> 0:19:56.580
<v S1>super nice without internet to be able to ask all

0:19:56.580 --> 0:20:02.260
<v S1>those sorts of questions. So cool. discovery. Cloudflare's robots.txt file.

0:20:02.260 --> 0:20:06.850
<v S1>It's a mix of Ascii art and directives for web crawlers. Obviously,

0:20:06.850 --> 0:20:12.340
<v S1>that allows Twitter bot and demon based website preview to

0:20:12.369 --> 0:20:16.419
<v S1>access specific pages blocks many other from accessing. Actually, you

0:20:16.420 --> 0:20:19.810
<v S1>know what I'm going to do? Let me just. Oh bam!

0:20:19.930 --> 0:20:22.930
<v S1>Look at that. This is why you do a video podcast.

0:20:22.960 --> 0:20:25.780
<v S1>You can just zoom in to stuff. Look at this.

0:20:25.869 --> 0:20:29.020
<v S1>Why are they. That's a lot of that's that's a

0:20:29.020 --> 0:20:31.300
<v S1>lot of bandwidth depending on how many people are pulling it.

0:20:31.330 --> 0:20:34.270
<v S1>It's a lot of bandwidth. Our tree is a redwood. Cool.

0:20:34.270 --> 0:20:36.970
<v S1>This is cool though. Look at all these allows I'm

0:20:36.970 --> 0:20:39.010
<v S1>looking at the scroll bar. How long is this thing.

0:20:39.040 --> 0:20:43.630
<v S1>Okay okay. It's a lot of disallows. Are those languages. No.

0:20:43.630 --> 0:20:47.290
<v S1>Those are directories. Yeah. These are all directories okay. Why

0:20:47.290 --> 0:20:49.060
<v S1>do they have these. Why do we need to say

0:20:49.060 --> 0:20:52.090
<v S1>that okay. And then we got our sitemaps okay. And

0:20:52.090 --> 0:20:57.580
<v S1>more Ascii art. Yeah. Cool I like it. Interesting. Managing

0:20:57.580 --> 0:21:00.530
<v S1>high performers a guide on how to effectively manage high

0:21:00.530 --> 0:21:05.960
<v S1>performing employees and Eon's secure shoelace knot is the best shoelace.

0:21:05.960 --> 0:21:10.760
<v S1>Not that I know of. And no, there's no sponsorship

0:21:10.760 --> 0:21:13.940
<v S1>because that would be silly because no such thing exists.

0:21:13.940 --> 0:21:19.580
<v S1>It's a shoelace knot. I actually tie this for my sneakers, actually,

0:21:19.580 --> 0:21:22.550
<v S1>the ones I'm wearing right now. Wish I could put

0:21:22.550 --> 0:21:25.850
<v S1>my foot up there. That would hurt. Uh, and I

0:21:25.850 --> 0:21:29.300
<v S1>mostly leave them that way. I literally, these are common projects.

0:21:29.300 --> 0:21:31.909
<v S1>I literally just slide my foot into there. Sometimes I

0:21:31.910 --> 0:21:34.730
<v S1>use a shoehorn to do that, and sometimes I just

0:21:34.730 --> 0:21:39.169
<v S1>use my finger. But I tied these with this knot

0:21:39.170 --> 0:21:42.620
<v S1>and it's the coolest looking knot. It's the most secure knot.

0:21:42.650 --> 0:21:45.560
<v S1>It's awesome. And because we're on video, I'm going to

0:21:45.560 --> 0:21:48.230
<v S1>go show you this knot. Look at this thing. So

0:21:48.230 --> 0:21:53.840
<v S1>you make two thingies. Two separate thingies. Then you cross

0:21:53.840 --> 0:21:57.650
<v S1>the front one over the left one, the right one

0:21:57.650 --> 0:22:02.160
<v S1>goes over the the left one. And you do this twice.

0:22:02.160 --> 0:22:06.210
<v S1>You do over and under for both of them. And

0:22:06.210 --> 0:22:09.420
<v S1>then you pull the thing and you end up with that.

0:22:09.420 --> 0:22:12.450
<v S1>You end up with this looking thing right here. And

0:22:12.450 --> 0:22:17.070
<v S1>it's super symmetrical and flat. It's not like twisted and

0:22:17.070 --> 0:22:20.369
<v S1>trying to go up. And it's got like this really

0:22:20.369 --> 0:22:23.399
<v S1>cool looking box not in the middle. And that's the

0:22:23.400 --> 0:22:27.210
<v S1>most you've ever heard about a shoelace. Not on a

0:22:27.210 --> 0:22:30.960
<v S1>podcast probably. All right. Recommendation of the week. Check out

0:22:30.960 --> 0:22:34.200
<v S1>the aphorism of the week below. So we'll jump there.

0:22:34.290 --> 0:22:37.139
<v S1>If you hit a wrong note, it's the next note

0:22:37.140 --> 0:22:39.960
<v S1>you play that determines if it's good or bad. If

0:22:39.960 --> 0:22:42.210
<v S1>you hit a wrong note, it's the next note you

0:22:42.210 --> 0:22:46.109
<v S1>play that determines if it's good or bad. Okay, so

0:22:46.109 --> 0:22:48.840
<v S1>that was the aphorism of the week. Now focus your

0:22:48.840 --> 0:22:52.379
<v S1>efforts on being flexible after wrong notes, as opposed to

0:22:52.410 --> 0:22:55.200
<v S1>being able to play perfect notes all the time. That's

0:22:55.200 --> 0:22:58.170
<v S1>my recommendation of the week. 2020 five inches the next

0:22:58.170 --> 0:23:01.410
<v S1>few years are likely to be so crazy that we

0:23:01.410 --> 0:23:04.590
<v S1>won't be able to plan or play the right notes,

0:23:04.590 --> 0:23:07.680
<v S1>so we just have to be good playing the next

0:23:07.680 --> 0:23:11.070
<v S1>note afterwards. And I will read the aphorism of the

0:23:11.070 --> 0:23:14.310
<v S1>week again, because that's what we do. If you hit

0:23:14.340 --> 0:23:16.770
<v S1>a wrong note, it's the next note you play that

0:23:16.770 --> 0:23:19.800
<v S1>determines if it's good or bad. If you hit a

0:23:19.800 --> 0:23:23.310
<v S1>wrong note, it's the next note you play that determines

0:23:23.310 --> 0:23:27.719
<v S1>if it's good or bad. Miles Davis. Unsupervised learning is

0:23:27.720 --> 0:23:30.870
<v S1>produced and edited by Daniel Miessler on a Neumann U87

0:23:30.900 --> 0:23:34.980
<v S1>AI microphone using Hindenburg. Intro and outro music is by

0:23:34.980 --> 0:23:38.159
<v S1>zombie with a Y. And to get the text and

0:23:38.160 --> 0:23:40.530
<v S1>links from this episode, sign up for the newsletter version

0:23:40.530 --> 0:23:46.290
<v S1>of the show at Daniel miessler.com/newsletter. We'll see you next time.