WEBVTT - UL NO. 424: Raising Security's Floor

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<v S1>Welcome to Unsupervised Learning, a security, AI and meaning focused

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<v S1>podcast that looks at how best to thrive as humans

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<v S1>in a post AI world. It combines original ideas, analysis,

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<v S1>and mental models to bring not just the news, but

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<v S1>why it matters and how to respond. All right. Welcome

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<v S1>to unsupervised learning. This is Daniel Missler going to do

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<v S1>an Andrew Huberman Lex Fridman type ad read here. And

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<v S1>you can of course just jump forward. But like they

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<v S1>say it would be appreciated if you listen and take

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<v S1>a look at the sponsor. Definitely helps the show. When

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<v S1>you go through airport security, there's one line where the

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<v S1>TSA agent checks your ID and another line where a

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<v S1>machine scans your bag. Same thing happens in enterprise security,

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<v S1>but instead of passengers and luggage, it's end users and

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<v S1>their devices. These days, most companies are pretty good at

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<v S1>the first part of the equation where they check user identity,

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<v S1>but user devices can roll right through authentication without getting

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<v S1>inspected at all. And in fact, 47% of companies allow unmanaged,

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<v S1>untrusted devices to access their data. That means an employee

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<v S1>can log in from a laptop that has its own

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<v S1>firewall turned off, and hasn't been updated in like six

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<v S1>months or worse. That laptop might actually belong to a

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<v S1>bad actor. Using employee credentials, collide finally solves the device

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<v S1>trust problem. Collide ensures that no device can log on

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<v S1>to your Okta protected apps unless it passes your security checks. Plus,

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<v S1>you can use Collider and devices without MDM like your

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<v S1>Linux fleet contractor devices in every BYoD phone and laptop

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<v S1>in your company, visit collider.com/unsupervised learning that's collide.com/unsupervised learning to

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<v S1>watch a demo and see how it works. All right

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<v S1>let's get into it. So some really cool patterns for

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<v S1>fabric this week. Got one called Create Better frame. So

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<v S1>basically any place where somebody is putting forth an opinion

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<v S1>about anything and it basically makes it so that when

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<v S1>you send that thing in, it looks at the negative

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<v S1>way to look at that content, and it looks at

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<v S1>positive ways to look at that content, and that's the

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<v S1>output that it produces and the negative ways to look

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<v S1>at the content. It's actually like in escalating levels. So

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<v S1>if it's about dating for example, it'll be like, oh,

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<v S1>the dating scene is really bad. And then it kind

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<v S1>of like catastrophizing that. And the next one is like,

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<v S1>I'll never find anyone in the last one is like,

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<v S1>why go on living if I'm always going to be alone?

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<v S1>So it's like negative frames of thinking that could be

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<v S1>generated from a given article or something. And what this

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<v S1>does is it also adds the positive ones at the

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<v S1>end and says, no, it's more like, okay, dating apps

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<v S1>aren't very good, but the final one there is, look,

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<v S1>I already wanted to prioritize in-person meet ups and relationships anyway,

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<v S1>so this is just support. This article about bad dating

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<v S1>apps is just support for the fact that I wanted

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<v S1>more in-person connection anyway, so it's a positive frame for

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<v S1>a thing. So the idea here is that this can

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<v S1>function essentially like a positivity filter, which eventually will be

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<v S1>like a function of days. So that's why I'm super

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<v S1>excited about this one. Next one is create Academic paper.

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<v S1>So this one takes any bullet points article, essay or

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<v S1>anything you've written and turns it into like a LaTeX

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<v S1>formatted academic paper. And it's pretty cool. It works great.

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<v S1>And you just paste it into like an online latex

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<v S1>renderer and you get the results. Okay. Next one here

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<v S1>is summarize git changes, which is a great way to

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<v S1>see and share updates on recent progress for a git project. Yeah,

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<v S1>so really cool. So you basically just paste in the

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<v S1>front page of a GitHub project and it outputs like

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<v S1>exactly how to install it or whatever. Oh actually that's

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<v S1>a different one. That's a different one. That is explain

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<v S1>project is actually the one I just described. This one

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<v S1>is different. This one is called summarize get changes and

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<v S1>this is the output from it. So you basically do

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<v S1>this git log command. And that pulls out like 500 changes.

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<v S1>And then it produces this type of a summary of

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<v S1>the actual project. So it's like here are all the

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<v S1>features we added like all that kind of stuff. Also

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<v S1>thresholds first commercial product or Ul's first commercial product called

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<v S1>threshold is imminent. I'm already using it and making final

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<v S1>tweaks now, and it's going to launch in preview, which

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<v S1>means they're going to be like tons of updates in

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<v S1>like the first couple of weeks and months, but can't

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<v S1>wait to share this thing. Wrote a piece called Personal

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<v S1>Eyes will mediate everything, and it's just talking about, you know,

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<v S1>what happens when Daz, your digital assistants are actually doing

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<v S1>all the interaction with the products around you. And this

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<v S1>is kind of like a picture of that. In fact,

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<v S1>we'll just go and look at that real quick. So

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<v S1>it's like if you look at this picture, you go

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<v S1>into a city street or whatever, you're surrounded by thousands

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<v S1>upon thousands of APIs, demons from the things all around you,

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<v S1>all the people, all the different buildings, all the all

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<v S1>the streets and the cars and everything. And, you know,

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<v S1>like the the driver service or Uber or whatever. And

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<v S1>all of these are actually like products, and you might

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<v S1>want to order some food or something. And it has

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<v S1>a menu and that's a product. And normally you would

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<v S1>be going there and looking at it and flipping through.

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<v S1>And as a result, people build applications in a certain way. Right.

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<v S1>And with AI happening, an API is happening and DHA

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<v S1>is happening. Humans aren't going to be the ones going

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<v S1>to the webpage. They're not going to be. Ones looking

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<v S1>at the catalog, they're going to know our preferences. They're

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<v S1>going to be doing all the looking. And then what

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<v S1>they're going to do is they're going to pull all

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<v S1>this content back via the API, and then they're going

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<v S1>to use your own preferred way of looking at things

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<v S1>inside of AR, and that's going to be shown inside

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<v S1>your glasses or your lenses or whatever the the modality is.

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<v S1>So you're going to have your own preferred UI interfaces

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<v S1>that you just like the best. Like it might look cyberpunk,

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<v S1>it might look solar punk, it might look minimalist, or

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<v S1>it might look like super pretty and gaudy and extravagant

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<v S1>or whatever. And that's going to be how you see things.

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<v S1>But again, like all these are company APIs, right? And

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<v S1>her Da is now looking at these things and parsing

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<v S1>all that information for her. So the real question is,

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<v S1>as a builder of a product like Google or like

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<v S1>a product catalog or like Amazon, what does it mean

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<v S1>to your company if nobody's coming to the website because

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<v S1>the Das are coming to the website and there's going

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<v S1>to be separate third parties that do the display, and

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<v S1>that's going to change a whole lot about product development.

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<v S1>And I don't know, really the economy in general. All right.

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<v S1>Had a really cool sponsored conversation with Jason Miller of

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<v S1>One Password. And, uh, he was the CEO at collide

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<v S1>and is still over that product inside of one password.

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<v S1>And that is the sponsor slot that we read earlier

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<v S1>as well. So thanks to Callide for sponsoring and, uh, security.

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<v S1>So got a set of deepfakes here. Actually I'm going

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<v S1>to click on these, right. I mean, this is the

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<v S1>advantage of doing video, right. So I'm going to show

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<v S1>a couple of these. Um, this one is the most

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<v S1>scary one to me.

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<v S2>World from art to music. Today we're diving into how

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<v S2>AI is transforming the creative world from art to music.

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<v S2>I'm the deepfake version of Marc Andreessen, made by Argo,

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<v S2>and I think we need more and more realistic deepfake.

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<v S2>It will empower new form of content creation. You should

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<v S2>check it out.

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<v S1>I mean, that is insane. That is completely insane. So

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<v S1>what I'm basically saying is we need a Snopes. Okay,

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<v S1>we're going into 2024 election in the US. Video deepfakes

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<v S1>that are that good, that could be Biden saying something

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<v S1>or Trump saying something. Those situations are so bad that

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<v S1>we need to be able to account for them. So

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<v S1>this is what I wrote. We we need like a

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<v S1>global Snopes platform. So you get a bunch of people

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<v S1>left people, center people, right people, and you build a

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<v S1>platform that does like Snopes, which is like it tests

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<v S1>internet claims and basically says, is it real or is

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<v S1>it crap? And it could be like a collection point

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<v S1>for arguments, right? So it's something like, okay, there's a

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<v S1>video of Obama saying we're going to attack Mylanta. The

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<v S1>video is currently being analyzed, and then you have like

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<v S1>streaming in. You have oh, it's created by oh, looks

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<v S1>to be fake. So Fox News says, oh it's fake. Oh.

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<v S1>And then says there's no evidence that it's fake. Also

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<v S1>known as they believe it's real or they want you

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<v S1>to believe it's real. See some analysis. They're like, oh,

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<v S1>this is definitely a deep fake. And all these are

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<v S1>links to go actually look at their analysis. Right. And

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<v S1>Breitbart is like, no, he probably said it or whatever.

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<v S1>So current conclusion is, given all the evidence, we are

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<v S1>almost certain and that this is a thing roughly similar

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<v S1>to what the CIA has used in the past to

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<v S1>assess likelihood. So it's a good sort of scale to

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<v S1>use for how certain you are about a certain thing. So, um,

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<v S1>almost certain that this is a deepfake. So this is

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<v S1>the conclusion of the site, and you've got all the

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<v S1>evidence up here of like all the different analyses, they've

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<v S1>all been collected in one place. So some people are

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<v S1>just not going to believe it. I mean, they're going

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<v S1>to believe whatever they want to believe about the video

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<v S1>because of predetermined bias. But we need to have a

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<v S1>service in which somebody can see somewhat objective analysis, somewhat

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<v S1>multi subjective analysis. And then finally a verdict is this

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<v S1>thing real or not. And it could be like chances

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<v S1>about even we don't know impossible. We also need to

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<v S1>put like we just don't know. There's got to be

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<v S1>one of the options. But we absolutely need the service.

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<v S1>And Dan Kaminsky used to be fond of saying we

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<v S1>have the technology right. We can actually build this if

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<v S1>we want to. And basically the deepfakes are too good

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<v S1>to not have this. In the election season 2024, they

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<v S1>were supposedly a data leak of 71 million AT&amp;T customers

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<v S1>are saying it wasn't them. Someone build a active in

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<v S1>the middle attack using some Cloudflare worker stuff. Really cool

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<v S1>bypass of MFA against Microsoft accounts. Leaked documents about a

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<v S1>hacking group that was going after like tons of foreign governments.

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<v S1>Just really nasty thing. SpaceX is contracted to build a

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<v S1>spy satellite network for US intelligence agency. So Elon is

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<v S1>building spy satellites for the government. That's interesting. I mean,

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<v S1>who better to actually get satellites in space? I don't

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<v S1>know of anyone. Rohan Pandit modified lama to to unredacted

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<v S1>an email from Elon to Ilya. So, uh, yeah. Unredacted content. Interesting.

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<v S1>Burglars are starting to use Wi-Fi jammers. Oh, actually, this.

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<v S1>This is our second sponsor. Hardly strictly security. I'm actually

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<v S1>doing a talk here, so shout out to them in

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<v S1>that conference. Yeah. Burglars are now using Wi-Fi jammers to

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<v S1>knock out security cameras, and evidently it's starting to happen more.

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<v S1>I've got a few cases. I think this was in Chicago.

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<v S1>Fortinet has disclosed a critical SQL injection flaw. Fortinet has

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<v S1>had some issues. All right. Technology. Stephen Howe gave Devin

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<v S1>access to his work stuff, which I'm like, how do

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<v S1>you do that? That's, uh, that's an agent with full

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<v S1>access to your account. This is like I've been talking about.

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<v S1>This is the number one threat from AI, in my opinion,

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<v S1>is people giving too much power to agents that have

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<v S1>access to really strong APIs, such as posting on slack

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<v S1>on behalf of the human right. So, Devin, is this

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<v S1>really controversial thing. It's basically an agent that writes code.

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<v S1>There's a million of them out right now. This one

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<v S1>is particularly well packaged. They had a good launch interview,

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<v S1>and I think that's why they're getting so much pushback.

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<v S1>It's like it just launched. Well it got a lot

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<v S1>of PR. So that's why people are more mad at

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<v S1>it than other things that they don't know about. That's

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<v S1>my theory anyway. Um, it can basically do tasks. It

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<v S1>sets out a thing of tasks it needs to do

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<v S1>to like write an application or something. Right? Well, if

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<v S1>it gets stuck, it can go and search many different

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<v S1>avenues to try to get unstuck. One of the avenues

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<v S1>that Steven Howe gave it was to go on slack.

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<v S1>So it actually goes on slack. I'm going to click this,

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<v S1>look at this, this thing. It goes on slack. And actually, um,

0:11:56.500 --> 0:12:00.130
<v S1>posts in slack to ask a question that would solve

0:12:00.130 --> 0:12:02.770
<v S1>its problem. And it got back a response, and it

0:12:02.770 --> 0:12:06.310
<v S1>used that response to go and continue writing code, got

0:12:06.309 --> 0:12:09.040
<v S1>unstuck and actually finished the project. And yeah, I was

0:12:09.040 --> 0:12:11.620
<v S1>talking about this like so much hate towards Steven. I'm

0:12:11.620 --> 0:12:14.950
<v S1>not sure why there's a million different platforms doing something similar.

0:12:14.950 --> 0:12:19.570
<v S1>And uh, Midjourney new character reference feature finally makes things

0:12:19.570 --> 0:12:21.880
<v S1>look the same. So check this out. This is all

0:12:21.880 --> 0:12:24.370
<v S1>from one prompt. So basically you can have the same

0:12:24.370 --> 0:12:28.090
<v S1>person in different settings. And uh, that was not possible before.

0:12:28.090 --> 0:12:31.929
<v S1>So that's really really cool feature now in Midjourney uh

0:12:32.230 --> 0:12:36.699
<v S1>open source grok. Not really. Um, in my opinion, the weights,

0:12:36.700 --> 0:12:40.059
<v S1>the data and the full training methodology are used for

0:12:40.059 --> 0:12:44.080
<v S1>saying that a model is fully open source and grok

0:12:44.080 --> 0:12:46.750
<v S1>did not get there. They did not release the methodology

0:12:46.750 --> 0:12:50.890
<v S1>or all of it. At least Co-variance is launching RFM one,

0:12:50.890 --> 0:12:55.630
<v S1>which is bringing ChatGPT like capabilities to robots. AI is big,

0:12:55.630 --> 0:12:59.650
<v S1>robots are big, but the biggest is AI in robots.

0:12:59.650 --> 0:13:03.100
<v S1>This I think might move faster than we think everyone

0:13:03.100 --> 0:13:05.320
<v S1>is thinking. You know you can't crawl under a house,

0:13:05.320 --> 0:13:07.900
<v S1>you can't look at the piping from an old house

0:13:07.900 --> 0:13:10.210
<v S1>and actually figure out how to fix this, like a

0:13:10.210 --> 0:13:13.870
<v S1>an electrician or a plumber. And if you've seen what

0:13:13.870 --> 0:13:16.210
<v S1>I can do, you've seen what some of these robot

0:13:16.210 --> 0:13:19.540
<v S1>demos can do. And then you see how nimble these

0:13:19.540 --> 0:13:22.719
<v S1>little things can be. And like the dexterity of their

0:13:22.720 --> 0:13:27.160
<v S1>arms and their hands. Combine that with local models and or,

0:13:27.160 --> 0:13:30.880
<v S1>you know, pinnacle models that are available via the cloud.

0:13:30.880 --> 0:13:34.390
<v S1>I'm not sure that this thing can't take pictures or

0:13:34.390 --> 0:13:40.390
<v S1>stream video of pipe fittings and washers and, you know,

0:13:40.840 --> 0:13:43.300
<v S1>be able to use wrenches and all this different stuff.

0:13:43.300 --> 0:13:46.000
<v S1>I'm not saying it's going to be easy. I'm saying

0:13:46.000 --> 0:13:49.780
<v S1>we should not be so arrogant as to think it's invulnerable,

0:13:49.780 --> 0:13:53.800
<v S1>like we currently seem to be thinking it is. All right. Um,

0:13:53.800 --> 0:13:57.670
<v S1>Finland has a giant sand battery to store heat in winter.

0:13:57.880 --> 0:14:01.090
<v S1>I didn't know this was possible. That one really excites me.

0:14:01.090 --> 0:14:02.710
<v S1>And the other one that excites me is I'm trying

0:14:02.710 --> 0:14:07.660
<v S1>to figure out is storing energy in water upstream. I

0:14:07.660 --> 0:14:10.030
<v S1>can't remember how this works. I think they store the

0:14:10.030 --> 0:14:13.390
<v S1>water and then they release the water through like a

0:14:13.390 --> 0:14:16.270
<v S1>turbine that the water moves through as it goes downhill.

0:14:16.270 --> 0:14:20.710
<v S1>Something about the gravity and potential energy of all that weight,

0:14:20.710 --> 0:14:26.500
<v S1>I think. Anyway, another way of like generating and storing energy. Yeah.

0:14:26.500 --> 0:14:31.030
<v S1>Nvidia getting into human robots. Yeah. This thing, it honestly

0:14:31.030 --> 0:14:33.220
<v S1>reminded me of Black Mirror. I saw a video of

0:14:33.220 --> 0:14:36.430
<v S1>this thing jumping up like 3 or 4ft high and

0:14:36.430 --> 0:14:39.880
<v S1>just like instantly just going over this giant obstacle at

0:14:39.880 --> 0:14:43.330
<v S1>the Nvidia event. And it was terrifying. Hong Kong is

0:14:43.330 --> 0:14:46.630
<v S1>implementing a new Beijing driven, stringent security law that goes

0:14:46.630 --> 0:14:49.780
<v S1>after treason and other types. And it's got like life

0:14:49.780 --> 0:14:53.020
<v S1>in prison, I think maybe even worse, maybe even death.

0:14:53.020 --> 0:14:56.080
<v S1>I mostly saw life in prison, though. Midjourney is blocking

0:14:56.080 --> 0:14:59.260
<v S1>AI images of Trump and Biden. US added more jobs

0:14:59.260 --> 0:15:02.770
<v S1>than usual, but unemployment went slightly up to 3.9. That

0:15:02.770 --> 0:15:04.990
<v S1>is such a low number, but it trips me out

0:15:04.990 --> 0:15:07.239
<v S1>that that number does not include people who don't want

0:15:07.240 --> 0:15:10.330
<v S1>to work. So I mean, if you counted that, I mean,

0:15:10.330 --> 0:15:12.370
<v S1>it would be a massive number. A really good thread

0:15:12.370 --> 0:15:15.130
<v S1>here on Hacker News about experienced programmers not being able

0:15:15.130 --> 0:15:19.300
<v S1>to find jobs, super strict policies at private schools in England,

0:15:19.300 --> 0:15:23.710
<v S1>rigid routines and discipline. And this is for disadvantaged students

0:15:23.710 --> 0:15:26.080
<v S1>to help them succeed. And they've had really good results.

0:15:26.110 --> 0:15:29.020
<v S1>I don't know, I feel like this is probably going

0:15:29.020 --> 0:15:31.960
<v S1>to be a trend, not just for disadvantaged students, which

0:15:31.960 --> 0:15:34.660
<v S1>I think it's great for, but for everyone really reminds

0:15:34.660 --> 0:15:36.729
<v S1>me of, like those man camps that are happening right

0:15:36.730 --> 0:15:40.000
<v S1>now in like, uh, Appalachia mountains where you go off

0:15:40.000 --> 0:15:42.850
<v S1>and you do camping and hunting like all these other

0:15:42.850 --> 0:15:46.150
<v S1>manly things. And it's because people want to build character, right?

0:15:46.150 --> 0:15:49.180
<v S1>And you can't build character when everything is easy. So

0:15:49.180 --> 0:15:52.239
<v S1>these schools or these man camps or whatever, it's a

0:15:52.240 --> 0:15:56.020
<v S1>way of like getting to like this resistance training, this

0:15:56.020 --> 0:16:00.100
<v S1>calculated suffering that builds character. Uh, women are drifting more

0:16:00.100 --> 0:16:02.770
<v S1>left and men are not. So there's like a bigger

0:16:02.770 --> 0:16:06.370
<v S1>gap than ever. Former Boeing whistleblower, the I think I

0:16:06.370 --> 0:16:09.160
<v S1>don't know if he was the 1 or 1 of them,

0:16:09.160 --> 0:16:13.030
<v S1>but found dead amid a lawsuit and, uh, some drama

0:16:13.030 --> 0:16:15.820
<v S1>around that. And Toronto police are now saying, leave your

0:16:15.820 --> 0:16:18.640
<v S1>car keys at the front door so that when people

0:16:18.640 --> 0:16:21.070
<v S1>break in, because we're probably not going to be able

0:16:21.070 --> 0:16:23.500
<v S1>to help you. Basically, when people break in, you want

0:16:23.500 --> 0:16:25.540
<v S1>to make it easy for them to take your car

0:16:25.540 --> 0:16:27.400
<v S1>and so they won't come in and hurt you. And

0:16:27.400 --> 0:16:29.920
<v S1>I think this is like how you get Republicans elected

0:16:29.920 --> 0:16:32.320
<v S1>because Republicans are going to be like, I got an idea.

0:16:32.320 --> 0:16:35.500
<v S1>How about we shoot the the attacker? How about we

0:16:35.500 --> 0:16:37.510
<v S1>don't allow this to happen? How about we have more

0:16:37.510 --> 0:16:41.080
<v S1>police so we don't just accept break ins. And this

0:16:41.080 --> 0:16:44.680
<v S1>is how you get like more right leaning people eventually

0:16:44.680 --> 0:16:48.250
<v S1>getting to to like far right people like we're seeing

0:16:48.250 --> 0:16:53.290
<v S1>all over like Sweden and, um, you know, Scandinavian countries

0:16:53.290 --> 0:16:56.470
<v S1>where you have like huge like migrant crime problems. And

0:16:56.470 --> 0:16:59.260
<v S1>the left is like, no, immigration is fine, which of

0:16:59.260 --> 0:17:01.960
<v S1>course it is. But it's like when you're not addressing

0:17:01.960 --> 0:17:05.290
<v S1>the issues, you give the power of the truth to

0:17:05.290 --> 0:17:08.350
<v S1>the far right. And like liberals cannot do this. And

0:17:08.350 --> 0:17:11.200
<v S1>if they do, they're going to be consequences. So I

0:17:11.200 --> 0:17:13.389
<v S1>think we need to, you know, do some sort of

0:17:13.390 --> 0:17:16.840
<v S1>hybrid of like, you've got to enforce laws strictly and

0:17:16.840 --> 0:17:18.879
<v S1>then you have to be very liberal in trying to

0:17:18.880 --> 0:17:20.889
<v S1>make it. So that doesn't happen in the first place.

0:17:20.890 --> 0:17:24.280
<v S1>So conservative in some ways, liberal in other ways. Uh,

0:17:24.280 --> 0:17:27.790
<v S1>recent Boing incidents have got a far right conspiracy going

0:17:27.790 --> 0:17:32.439
<v S1>that diversity is causing intentional failures, and it's part of

0:17:32.440 --> 0:17:36.520
<v S1>a plot to undermine Western civilization and promote communism. I'm like,

0:17:36.670 --> 0:17:40.180
<v S1>somebody explain this to me. That seems fringe. Using tap

0:17:40.180 --> 0:17:42.280
<v S1>water in the neti pot is bad. So this is

0:17:42.280 --> 0:17:44.470
<v S1>the thing that cleans out your sinuses, which I need

0:17:44.470 --> 0:17:47.650
<v S1>to do again right now. I did yesterday, but you

0:17:47.650 --> 0:17:51.280
<v S1>should use sterilized water for this. I use my reverse

0:17:51.280 --> 0:17:55.540
<v S1>osmosis water from the filter. You do not want nasty stuff.

0:17:55.570 --> 0:17:58.120
<v S1>You're shooting it up like very close to your brain.

0:17:58.119 --> 0:18:01.450
<v S1>Like your sinus cavity goes way up inside your your head.

0:18:01.450 --> 0:18:04.570
<v S1>So you do not want stuff up there that's like

0:18:04.570 --> 0:18:07.929
<v S1>alive or poisonous or whatever. And if you look at

0:18:07.930 --> 0:18:13.030
<v S1>Huberman recent episode on water, he says tap water is nasty.

0:18:13.030 --> 0:18:15.130
<v S1>He's he's like, I don't want to alarm people, but

0:18:15.130 --> 0:18:18.850
<v S1>it is alarming. It is nasty what I found in

0:18:18.850 --> 0:18:22.240
<v S1>these tap waters. So don't shoot that up into your brain.

0:18:22.240 --> 0:18:24.730
<v S1>How about that? This analysis is saying people used to

0:18:24.730 --> 0:18:29.290
<v S1>consume more calories without gaining as much weight. Skeptical, but

0:18:29.290 --> 0:18:33.490
<v S1>thought it was worth sharing. Uh, fentanyl poisoning the leading

0:18:33.490 --> 0:18:37.630
<v S1>cause of death for Americans 18 to 45 fentanyl. What

0:18:37.630 --> 0:18:42.010
<v S1>is going on? 2000 newspapers have closed since 2004, and

0:18:42.010 --> 0:18:44.649
<v S1>car washes are popping up because, uh, they make a

0:18:44.650 --> 0:18:52.900
<v S1>lot of money. All right. Ideas and analysis. Uh. Epiphany. Epiphany.

0:18:52.930 --> 0:18:56.409
<v S1>What is that? Uh, that, um, that shows you I

0:18:56.410 --> 0:18:59.470
<v S1>don't use AI to to write the newsletter. I wouldn't

0:18:59.470 --> 0:19:02.350
<v S1>have made that mistake. Yeah. So last couple of months,

0:19:02.350 --> 0:19:04.119
<v S1>I'm not going to go into this one. This this

0:19:04.119 --> 0:19:07.750
<v S1>is a big topic by itself. Basically, I'm learning a

0:19:07.750 --> 0:19:10.689
<v S1>lot about the power of framing. And it's kind of

0:19:10.690 --> 0:19:13.929
<v S1>turning into like a, you know, universal like unified theory

0:19:13.930 --> 0:19:15.939
<v S1>for me for a lot of things. But worth a

0:19:15.940 --> 0:19:19.270
<v S1>separate discussion. All right. Really interesting back and forth with

0:19:19.270 --> 0:19:23.410
<v S1>Dino de survie about the cybersecurity flaw and sealing. This

0:19:23.410 --> 0:19:25.060
<v S1>one is a deep one. I'm not going to go

0:19:25.060 --> 0:19:27.670
<v S1>into it. You should definitely go check it out. If

0:19:27.670 --> 0:19:32.619
<v S1>these types of deep philosophical security things are your jam. Basically,

0:19:32.619 --> 0:19:35.379
<v S1>I think security is so important to innovation in daily

0:19:35.380 --> 0:19:38.530
<v S1>life in most situations, and that it falls to a

0:19:38.530 --> 0:19:41.830
<v S1>minimum as a result. And basically we should guard our

0:19:41.830 --> 0:19:45.970
<v S1>mental health against thinking people are steering us wrong and

0:19:45.970 --> 0:19:49.810
<v S1>that's why we have low security. But in fact, where

0:19:49.810 --> 0:19:52.900
<v S1>a lot of security people think it's a horrible situation,

0:19:52.900 --> 0:19:56.320
<v S1>it's actually not that bad because if it were that bad,

0:19:56.320 --> 0:19:59.350
<v S1>we would have fixed it. If it were urgent, we

0:19:59.350 --> 0:20:01.540
<v S1>would know because it would get fixed immediately. And if

0:20:01.540 --> 0:20:06.250
<v S1>it's not fixed immediately, then it's not urgent. And there's

0:20:06.250 --> 0:20:09.310
<v S1>just like, I don't know, it's it's my view of

0:20:09.310 --> 0:20:12.800
<v S1>security at this point. Um. And doesn't mean you can't

0:20:12.800 --> 0:20:15.770
<v S1>make progress. You absolutely can make progress. It's just that

0:20:15.770 --> 0:20:20.570
<v S1>progress tends to happen slowly and reactively. And a lot

0:20:20.570 --> 0:20:23.630
<v S1>of security people are really upset about. They don't realize that.

0:20:23.630 --> 0:20:26.720
<v S1>So they're very upset because they think something can be

0:20:26.720 --> 0:20:30.199
<v S1>done when they don't realize that they're hitting the ceiling

0:20:30.200 --> 0:20:34.040
<v S1>of the difference between what can be done and what

0:20:34.040 --> 0:20:38.240
<v S1>needs to be done. And security by default is a

0:20:38.240 --> 0:20:41.900
<v S1>very efficient thing. So I should probably write a piece

0:20:41.900 --> 0:20:43.790
<v S1>and like name it something like that. I think I

0:20:43.790 --> 0:20:48.980
<v S1>saw a comment like security efficiency theory set or something.

0:20:48.980 --> 0:20:53.149
<v S1>So it's like security wants to be as efficient as possible,

0:20:53.150 --> 0:20:56.600
<v S1>which is why it's easy to pick locks all over

0:20:56.600 --> 0:20:59.840
<v S1>the country and probably all over the world. It's because

0:20:59.840 --> 0:21:03.620
<v S1>that is the exact point of security that you need

0:21:03.619 --> 0:21:06.500
<v S1>to have for it to be somewhat useful, but not

0:21:06.500 --> 0:21:10.159
<v S1>to be an overspend. And that magical point I'm arguing,

0:21:10.160 --> 0:21:14.270
<v S1>is usually way lower than what security professionals think it

0:21:14.270 --> 0:21:16.880
<v S1>should be. They think the bar should be way up here,

0:21:16.880 --> 0:21:20.540
<v S1>and I think that's what Dino was talking about. Let's

0:21:20.540 --> 0:21:24.110
<v S1>raise the minimum bar. And my whole point I said

0:21:24.109 --> 0:21:25.910
<v S1>I wasn't going to go into this, but here we are.

0:21:25.910 --> 0:21:29.389
<v S1>My whole point was you can't move that bar. That

0:21:29.390 --> 0:21:34.520
<v S1>is security's efficiency baseline. And it's determined by reality. It's

0:21:34.520 --> 0:21:38.780
<v S1>not determined by what should be or what security people

0:21:38.780 --> 0:21:41.899
<v S1>want it to be. And it's related to this framing thing.

0:21:41.900 --> 0:21:45.290
<v S1>So we'll leave it there. All right. Really cool. You

0:21:45.290 --> 0:21:48.410
<v S1>all meet up this week. Had a member named John

0:21:48.410 --> 0:21:52.010
<v S1>just blow our minds about custom keyboards. And I now

0:21:52.010 --> 0:21:54.410
<v S1>have one on the way. So I'm going to be

0:21:54.410 --> 0:21:59.750
<v S1>having my tinted, like side keyboard programmable. Really cool. And

0:21:59.750 --> 0:22:03.800
<v S1>I ordered a kit from Jose and Martinez, so that

0:22:03.800 --> 0:22:07.400
<v S1>should be fun. And Voyager one is one light day

0:22:07.400 --> 0:22:10.370
<v S1>away from us and it still it keeps breaking. We're like, oh,

0:22:10.369 --> 0:22:14.690
<v S1>it's finally dead, you know, salutes, hats off to you.

0:22:14.690 --> 0:22:17.720
<v S1>And then it'll be like, I woke up. I'm okay,

0:22:17.720 --> 0:22:20.869
<v S1>I'm okay, I'm okay. And we're like, how are you? Okay.

0:22:20.869 --> 0:22:23.840
<v S1>It's like, what? I figured it out. We're okay. And

0:22:23.840 --> 0:22:27.530
<v S1>they're talking about having to troubleshoot this thing from 24

0:22:27.530 --> 0:22:30.980
<v S1>light hours away. It roughly, it might be closer or

0:22:30.980 --> 0:22:34.669
<v S1>further at this point, but roughly a day. How far

0:22:34.670 --> 0:22:37.070
<v S1>away does the thing have to be for the speed

0:22:37.070 --> 0:22:40.070
<v S1>of light, which is that fast? Eight minutes, by the way,

0:22:40.070 --> 0:22:43.520
<v S1>to the sun, 45 minutes for Jupiter, and this thing

0:22:43.520 --> 0:22:47.570
<v S1>is 24 hours away and we have to troubleshoot it.

0:22:47.570 --> 0:22:50.630
<v S1>So imagine like a vim session and you're typing keys.

0:22:50.630 --> 0:22:52.310
<v S1>And by the way, that's why a lot of the

0:22:52.310 --> 0:22:54.740
<v S1>commands are the way they are. I think Bill Joy

0:22:54.740 --> 0:22:58.189
<v S1>created VI and it was for interacting with very distant

0:22:58.190 --> 0:23:01.129
<v S1>things I think satellites. So you'd have this slight delay

0:23:01.130 --> 0:23:05.360
<v S1>and low resources on each computer. Well, imagine when a keystroke.

0:23:05.359 --> 0:23:08.780
<v S1>I imagine they batch things, but imagine a keystroke taking

0:23:08.780 --> 0:23:11.869
<v S1>a day just to get there and a day to

0:23:11.869 --> 0:23:15.230
<v S1>get back. And final thought on on Voyager one. What

0:23:15.230 --> 0:23:18.530
<v S1>a hero. All right, discovery hack trails Golang client allows

0:23:18.530 --> 0:23:22.160
<v S1>you to query security trails, API and do super useful

0:23:22.160 --> 0:23:25.939
<v S1>stuff for bounty hunters. And it's made by my buddy Luke. Uh,

0:23:25.940 --> 0:23:29.840
<v S1>super cool guy. Open API Tui lets you interact with

0:23:29.840 --> 0:23:34.280
<v S1>APIs with a terminal user interface, which I love. I

0:23:34.280 --> 0:23:37.489
<v S1>stopped loving Captain Kirk. Really good piece. Solar punk is

0:23:37.490 --> 0:23:40.609
<v S1>a new cyberpunk. Do It Now by Steve Pavlovna, one

0:23:40.609 --> 0:23:43.879
<v S1>of the first pieces that I read on productivity. Uh,

0:23:43.880 --> 0:23:48.830
<v S1>2005 really takes me back that one minimal viable system.

0:23:48.830 --> 0:23:51.859
<v S1>Ben Koon shares why and how to blog which skills

0:23:51.859 --> 0:23:54.920
<v S1>are at least likely to be replaced by AI. Amanda

0:23:54.920 --> 0:23:58.340
<v S1>Haskell talks about why cloud three is so good. By

0:23:58.340 --> 0:24:02.240
<v S1>the way, cloud three opus I'm only using opus. It

0:24:02.240 --> 0:24:06.320
<v S1>is crushing GPT four in the most advanced tasks that

0:24:06.320 --> 0:24:09.050
<v S1>I have, which is like deep analysis of like the

0:24:09.050 --> 0:24:12.440
<v S1>most interesting and surprising ideas. So it's like the pinnacle.

0:24:12.440 --> 0:24:15.139
<v S1>It's like the top end of the most difficult things

0:24:15.140 --> 0:24:18.619
<v S1>for humans and AI to do, to pull out complex

0:24:18.619 --> 0:24:24.139
<v S1>ideas and distill them from a corpus, an entire book

0:24:24.140 --> 0:24:26.570
<v S1>or an entire video or whatever. To be able to

0:24:26.570 --> 0:24:29.389
<v S1>do that is the hardest thing that I've seen I

0:24:29.390 --> 0:24:34.010
<v S1>do anywhere. And, um, at that type of skill, opus

0:24:34.040 --> 0:24:37.220
<v S1>is crushing GPT four. I mean, it's like two or

0:24:37.220 --> 0:24:40.520
<v S1>3 or 4 times as good in. It's hard to

0:24:40.520 --> 0:24:44.210
<v S1>measure that. So I'm making up those numbers. But intuitively,

0:24:44.210 --> 0:24:47.030
<v S1>I feel like the quality of GPT four is somewhere,

0:24:47.030 --> 0:24:49.909
<v S1>and this thing is like so much better now in

0:24:49.910 --> 0:24:54.110
<v S1>most other tasks. Uh, GPT four is as good. Um,

0:24:54.109 --> 0:24:57.980
<v S1>in some places it's actually still better than opus, but

0:24:57.980 --> 0:25:00.410
<v S1>and it's way faster. It's probably like three times faster,

0:25:00.410 --> 0:25:02.780
<v S1>I would guess. Yeah. Really interesting to see opus doing

0:25:02.780 --> 0:25:06.170
<v S1>so well. Spreadsheets as simulation tools. And the Getty has

0:25:06.170 --> 0:25:10.490
<v S1>released 88,000 art images for anyone to use. Recommendation of

0:25:10.490 --> 0:25:14.720
<v S1>the week. Let grow this thing. Oh this project. I

0:25:14.720 --> 0:25:21.870
<v S1>love this project. Can I click this? It's about resilience.

0:25:21.900 --> 0:25:27.900
<v S3>Independence is the key to developing happy, well-adjusted children.

0:25:28.920 --> 0:25:31.710
<v S1>Absolutely love this thing. It is a four minute video.

0:25:31.740 --> 0:25:34.050
<v S1>You've got to watch this thing. And I heard about

0:25:34.050 --> 0:25:38.550
<v S1>it from Jonathan Haidt. And reduce anxiety in elementary and

0:25:38.550 --> 0:25:42.900
<v S1>middle school is the let grow experience. It's all about teaching,

0:25:42.900 --> 0:25:48.840
<v S1>you know, self not so much discipline, independence, independence and resilience.

0:25:48.840 --> 0:25:53.790
<v S1>Trying falling down, getting up that sort of vibe. Absolutely.

0:25:53.790 --> 0:25:57.300
<v S1>Love this project. Okay. And the aphorism for the week

0:25:57.600 --> 0:26:00.000
<v S1>I am not what happened to me, I am what

0:26:00.000 --> 0:26:02.699
<v S1>I choose to become, I am not what happened to me,

0:26:02.700 --> 0:26:07.680
<v S1>I am what I choose to become. Carl Jung Unsupervised

0:26:07.680 --> 0:26:10.199
<v S1>Learning is produced and edited by Daniel Missler on a

0:26:10.200 --> 0:26:15.060
<v S1>Norman 87 I microphone using Hindenburg intro and outro. Music

0:26:15.060 --> 0:26:18.149
<v S1>is by zombie with the Y and to get the

0:26:18.150 --> 0:26:20.220
<v S1>text and links from this episode, sign up for the

0:26:20.220 --> 0:26:25.869
<v S1>newsletter version of the show at Daniel missler.com/newsletter. We'll see

0:26:25.869 --> 0:26:26.500
<v S1>you next time.