WEBVTT - UL NO. 462: Full-Face Mask Deceptions, VS Code Tunnel Hacks, Quiet AI Emergence at Apple, and Tokyo’s Three-Day Weekend Gamble

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<v S1>If you're building B2B SaaS, you probably want to sell

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<v S1>to enterprises at some point. The challenge is that selling

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<v S1>to enterprises requires you to support complex features like Saml,

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<v S1>single sign on, skim provisioning, audit logs, and fine grained

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<v S1>authorization that require months of development time and ongoing maintenance work.

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<v S1>OS solves this with APIs that are flexible and easy

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<v S1>to use. It makes adding enterprise features to your app

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<v S1>a quick and painless process. Work OS also has user

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<v S1>management solution called auth Kit that is free up to

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<v S1>1 million monthly active users. It comes standard with MFA, Rbac,

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<v S1>bot protection, user impersonation and more. Auth kit is built

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<v S1>with radix components, which means zero compromises in design. You

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<v S1>get limitless customizations and modular templates designed for quick integrations.

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<v S1>Work OS is already used by hundreds of fast growing

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<v S1>companies like cursor, Vercel, Perplexity and Sierra. Check it out

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<v S1>at work OS Com that is working os. Com. Welcome

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<v S1>to Unsupervised Learning, a security, AI and meaning focused podcast

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<v S1>that looks at how best to thrive as humans in

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<v S1>a post AI world. It combines original ideas, analysis, and

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<v S1>mental models to bring not just the news, but why

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<v S1>it matters and how to respond. All right, welcome to

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<v S1>unsupervised learning. This is Daniel. All right. So settling in

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<v S1>for a couple of light holiday weeks trying to chill

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<v S1>out as much as possible, reading a bunch of lit RPG.

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<v S1>I don't think I'm going to play too much path

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<v S1>of Exile. It's like a religion. I've already got too

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<v S1>many religions. I've got reading as a religion, I've got

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<v S1>AI as a religion, got security work. I'm building a

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<v S1>bunch of tech. I just I don't have time to

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<v S1>invest in getting good at Poe. It's just too intimidating. Plus,

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<v S1>the little bit that I did play was mostly like

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<v S1>hitting the space bar and dodging way too much dodging.

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<v S1>So don't think I'm going to be playing that any

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<v S1>time soon. But I do watch other people play it,

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<v S1>so that's kind of fun. Please go subscribe to the

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<v S1>YouTube channel if you're watching this on YouTube. That's probably

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<v S1>kind of silly because you're probably already on the channel

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<v S1>and hopefully you're subscribed, but always forget to promote that.

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<v S1>So trying to remember wrote a piece for days. Been

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<v S1>wanting to get out for a while. It's basically about

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<v S1>how updated context is going to be like the centerpiece

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<v S1>of vulnerability management, because the problem isn't finding villains, it's

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<v S1>actually fixing them. So go check that out and let's

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<v S1>get into security. So full face masks for facial recognition evasion.

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<v S1>So realistic masks that you could put on I'm going

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<v S1>to open this up. This is why we do it live.

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<v S1>Look at this thing. So it's like a stocking or whatever.

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<v S1>But you put it over your face and then it

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<v S1>kind of pulls to contort to your face and look

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<v S1>at that from a distance. That is not so bad.

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<v S1>not so bad at all. And look at all these

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<v S1>different faces you got so pretty cool. Yeah. Bruce Schneier

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<v S1>is the one I think I saw that from. But yeah,

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<v S1>I'm curious. I'd love to see some testing done from

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<v S1>the security community to buy a bunch of these. And

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<v S1>then maybe if we have access to like a facial

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<v S1>recognition system to see if we could get it to

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<v S1>match someone else. I think the big thing is like,

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<v S1>is it only visual or is there like an active component?

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<v S1>I think, and I don't think most do have an

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<v S1>active component. I know face ID does, but I think

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<v S1>most facial recognition does not have an active component. And

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<v S1>what that would mean is like is something actually bouncing

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<v S1>off your face, which would go through the stocking. So

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<v S1>it'd be able to see like where your cheekbones are,

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<v S1>where your chin is, and, you know, eyes, foreheads, stuff

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<v S1>like that. That would seem to break the system or

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<v S1>break the masks. But yeah, I don't I don't think

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<v S1>most are doing that, but I'm not sure. Visual Studio

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<v S1>Code remote tunnel hacks. So some Chinese attackers are caught

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<v S1>stealing V's codes, remote tunnel feature, or using the feature

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<v S1>to hack it. Service providers in South Europe and China

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<v S1>starting to limit the sale of critical drone drone components

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<v S1>to the US and Europe that are needed for Ukraine's

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<v S1>fighting efforts. So this is all part of the trade

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<v S1>war of us limiting their access to chips. So now

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<v S1>they're limiting our access to key materials to actually build stuff,

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<v S1>and now they're limiting drone stuff. I really can't wait

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<v S1>to get our drone systems up and running. I'm really

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<v S1>worried that the any war, any conflict, hopefully not a

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<v S1>major war, but any conflict that we have with China,

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<v S1>it's going to be about drones, like aircraft carriers I

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<v S1>don't think are going to be as big of a deal.

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<v S1>I remember seeing a piece or like a series or something.

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<v S1>I was in the Army at the time, so this

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<v S1>was like mid 90s and I was reading about this

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<v S1>thing called the Assassin's Mace weapon, which is a Chinese concept,

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<v S1>I believe, where it's like when you have an enemy

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<v S1>that is much too big and powerful for you, you

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<v S1>don't bring force against force. What you do is you

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<v S1>bring some kind of weapon that is highly asymmetrical, that

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<v S1>is capable of hurting this thing when regular force has

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<v S1>no chance whatsoever. And drones are that. And once again,

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<v S1>I've recommended this multiple times, but I recommend you read

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<v S1>the book Kill Decision by Daniel Suarez. It is fantastic

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<v S1>and it's all about mini drones and implications and stuff

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<v S1>like that. FBI is shut down Redux, a cybercrime marketplace

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<v S1>operating since 2016, and they arrested three Kosovo nationals who

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<v S1>were running it. Russian state backed APT Kameraden has been

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<v S1>targeting Russian speaking individuals with two Android spyware families called

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<v S1>Bone Spy and Plain Gnome, and it can record calls,

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<v S1>capture photos and collect. SMS messages. Yahoo cut 25% of

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<v S1>its cybersecurity team, which is also known as the Paranoids.

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<v S1>Over the last year, paranoids are kind of og famous

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<v S1>in the security community, so kind of sad to see

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<v S1>them getting cut down. And I know the attrition has

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<v S1>happened for a long time over the years, but I

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<v S1>presented and taking classes over there in the facility that

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<v S1>they were based out of. And yeah, sad to see

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<v S1>kind of this old school kind of organization going away.

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<v S1>Another run of augmented happening in February. It's actually February

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<v S1>3rd of this coming year, and this is going to

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<v S1>be a full discussion and workshop on building out your

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<v S1>personal Telos files and using AI to access them and

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<v S1>use them, manipulate them. So it is $495, but you

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<v S1>get 25% off if you are a member and you

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<v S1>can go and reserve a slot. I think they're still open,

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<v S1>but you definitely want to check it out. Probably will

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<v S1>be full soon. And if you become a member to

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<v S1>get the discount, the discount is actually more than the

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<v S1>cost of the membership. So really good time to become

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<v S1>a member if you've been thinking about it. Super annoyed

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<v S1>about the fact that ChatGPT Pro, which I use constantly,

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<v S1>is not as good, unfortunately, as Claude AI. I have

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<v S1>more problems with it. It sends me down more rat holes.

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<v S1>It doesn't follow my instructions as closely as Claude does,

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<v S1>and it generally produces code that's not as good. The

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<v S1>code quality is a little bit closer than than the

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<v S1>other aspects. What Claude does really, really well, and let's

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<v S1>not frame it as ChatGPT pro being bad. It's more

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<v S1>like what Claude does really well is it follows your

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<v S1>instructions and it responds like a human, and it's like

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<v S1>you're actually working with a coworker. So if you tell it, look,

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<v S1>I only want one instruction at a time. This is

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<v S1>one of my instructions. I only want one instruction at

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<v S1>a time. Because oftentimes we're going to need to troubleshoot that.

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<v S1>I have to go and run it and see if

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<v S1>it works, and then let you know if it doesn't work.

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<v S1>Claude follows that almost perfectly. And OpenAI or ChatGPT, it'll

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<v S1>be like, okay, boom, here's seven more steps. So I'm

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<v S1>scrolling to get back up to whatever. And I'm just like,

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<v S1>why did you give me seven steps? The thing before

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<v S1>didn't work. I told you not to do this. And

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<v S1>then we give me code and it's like, here's a

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<v S1>little bit of code. And then at the bottom it's like,

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<v S1>here's the rest of the code or insert the rest

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<v S1>of the code. I said explicitly in the instructions not

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<v S1>to do that. Also, here's the other instruction I gave it.

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<v S1>And also to Claude. Write out files using echo and EOF,

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<v S1>which is end of file. That way I could just

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<v S1>copy the thing and paste it, and it writes the

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<v S1>file in my directory, as opposed to just giving me

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<v S1>the raw code. Then I have to open the file

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<v S1>delete paste close, which saves. So those extra steps Claude

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<v S1>follows perfectly hardly ever misses that. And ChatGPT like 60%

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<v S1>of the time misses it. So I'm really hopeful that

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<v S1>ChatGPT is going to catch up and hopefully even get better.

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<v S1>But it's really annoying to pay $200 for a thing

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<v S1>and have that thing not be as good as the

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<v S1>thing that's free. Or I guess I'm paying the $20

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<v S1>subscription for anthropic. Not even sure. But anyway, I'm not

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<v S1>paying $200 for it and it's better. And this is

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<v S1>Claude not even having shipped anything recently. I have a

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<v S1>feeling when Claude ships its new thing, it's going to

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<v S1>jump way ahead of Google and way ahead of ChatGPT,

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<v S1>but I'm sure again it's just leapfrogs. Constant leapfrogs, and

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<v S1>I think 2025 is going to be even more. It's

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<v S1>going to. Accelerate in the difference between one to the other.

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<v S1>So I think Apple is. Actually doing exceptionally well on

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<v S1>the AI front. Most people think that they're kind of

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<v S1>way behind. And Apple intelligence. Isn't very good. The one

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<v S1>thing I agree with is Siri is still massively broken,

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<v S1>but it is getting better. But the thing I think

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<v S1>that I realize that a lot of people don't, and

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<v S1>keep in mind, I'm an Apple fanboy, so you got

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<v S1>to take that bias into account. I don't think it

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<v S1>actually applies. In fact, I think it gives me a

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<v S1>benefit here. But I do want to make it very

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<v S1>clear that I am an Apple fanboy. So if I

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<v S1>were to be wrong, that would definitely be part of

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<v S1>the reason. Um, so I believe that Apple is building

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<v S1>life OS and that they've been slowly and quietly adding

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<v S1>I to that. And they kind of have been for

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<v S1>a long time. But with Apple intelligence, you should never

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<v S1>expect them to jump out in front and do something

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<v S1>crazy with their AI. That is just not the way

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<v S1>the apple works. What they're doing, though, is they're adding education,

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<v S1>they're adding health, they're adding, you know, the ability to

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<v S1>see more and hear more with like the AirPods. They're

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<v S1>just they're slowly incorporating more and more of our lives

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<v S1>into their ecosystem. And the whole advantage of Apple, what

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<v S1>they have over everyone else is how cleanly and in

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<v S1>a unified way, they unify all their different ecosystem components

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<v S1>to work together. Okay. So that's what they're known for.

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<v S1>That's what they're best at. That's what makes them so compelling.

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<v S1>That's why everyone switches off of Android. Because when you

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<v S1>have Apple stuff, the more Apple stuff you use, the

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<v S1>better everything gets. Now add AI on top of that,

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<v S1>which runs securely inside of the Secure Enclave or in

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<v S1>their new secure cloud infrastructure that they built. It's going

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<v S1>to be insane. Absolutely insane. I mean, imagine an AI

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<v S1>agent having full access to all your health data, and

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<v S1>if you're a security person, you're probably freaking out about it.

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<v S1>But with Apple, you you actually don't have to freak

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<v S1>out about it. I worked there for three years in security.

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<v S1>I've been watching them security wise for over a decade

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<v S1>before that, and I have never seen a company more

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<v S1>crazy about doing security and specifically privacy really, really well

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<v S1>than them. And that's why also it takes them a

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<v S1>little bit longer to do things, because they have to

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<v S1>be very particular and meticulous about it. So people are saying, oh,

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<v S1>they're going slow, they're being left behind. I assure you,

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<v S1>they are not being left behind. And here's what I'm

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<v S1>telling you to do. Let's have this conversation at the

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<v S1>end of 2026, or even the end of 2025. What

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<v S1>happens is they're small little winds in the ecosystem world

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<v S1>and also in the AI world on top of the ecosystem,

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<v S1>they're small little winds slowly build. They build and build

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<v S1>and build. And then one day some some YouTuber is

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<v S1>going to be like, wow, Apple just came out with

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<v S1>all this amazing stuff. They really surprised us. Didn't surprise me,

0:13:18.390 --> 0:13:21.569
<v S1>didn't surprise a lot of people who were watching Apple closely.

0:13:21.570 --> 0:13:28.500
<v S1>It's slow, incremental, methodical improvements. Every little OS update that

0:13:28.500 --> 0:13:31.500
<v S1>comes out, they tweak one little thing, which helps it

0:13:31.500 --> 0:13:34.949
<v S1>work with these nine other things. Then they tweak nine

0:13:34.950 --> 0:13:38.099
<v S1>other things, helps it work with this other thing. And

0:13:38.100 --> 0:13:42.270
<v S1>slowly it's it's not just improving each component, it's pulling

0:13:42.270 --> 0:13:46.199
<v S1>the components tighter to work better together. So Apple is

0:13:46.200 --> 0:13:51.689
<v S1>building life OS. Okay. Not work. OS. Not, you know,

0:13:51.720 --> 0:13:56.850
<v S1>personal os. A unified life os. That's mental health. It's health,

0:13:56.850 --> 0:14:01.079
<v S1>it's fitness, it's career, it's creativity. It's all those things

0:14:01.080 --> 0:14:03.930
<v S1>unified together. The way I like to think about it

0:14:03.929 --> 0:14:08.400
<v S1>is if you watch the most advanced sci fi about

0:14:08.400 --> 0:14:12.210
<v S1>an AI agent, something like her, that is essentially what

0:14:12.210 --> 0:14:16.230
<v S1>Apple is building. Okay. It's building something like her. But

0:14:16.260 --> 0:14:19.290
<v S1>imagine it more with like AR in addition, because that

0:14:19.290 --> 0:14:23.250
<v S1>was mostly just voice. But imagine, you know, glasses or

0:14:23.250 --> 0:14:27.390
<v S1>contact lenses. So you're seeing overlays. If you look at my, um,

0:14:27.420 --> 0:14:32.609
<v S1>my peace AI's predictable path, that is what AI is

0:14:32.610 --> 0:14:35.040
<v S1>going to look like. And I think Apple's going to

0:14:35.040 --> 0:14:38.460
<v S1>get there first each component, they won't get there first,

0:14:38.460 --> 0:14:42.600
<v S1>but having it all unified into a platform, into an ecosystem,

0:14:42.600 --> 0:14:45.660
<v S1>they will get to that first. And then even when

0:14:45.660 --> 0:14:48.720
<v S1>other people arrive, It'll be cleaner with Apple, which is

0:14:48.720 --> 0:14:51.780
<v S1>why everyone will continue to use it. All right. Former

0:14:51.810 --> 0:14:57.870
<v S1>OpenAI researcher who publicly criticized the criticized the company's data practices,

0:14:57.870 --> 0:15:02.460
<v S1>was found dead in his San Francisco apartment. Suchir Balaji,

0:15:02.490 --> 0:15:06.270
<v S1>26 years old, dead of suicide and a lot of

0:15:06.270 --> 0:15:08.640
<v S1>conspiracy going around this. The one thing I will say

0:15:08.640 --> 0:15:11.670
<v S1>about this I don't know anything about the case, you know,

0:15:11.700 --> 0:15:15.690
<v S1>probably wasn't foul play. Just just from the math of it.

0:15:15.720 --> 0:15:19.770
<v S1>When people are whistleblowers, which is what he was, what

0:15:19.800 --> 0:15:21.960
<v S1>a lot of people don't realize is you are you

0:15:21.990 --> 0:15:26.040
<v S1>are shunning your community. You're taking somebody who's usually pretty

0:15:26.040 --> 0:15:29.430
<v S1>powerful inside of your community, and you're basically blowing the

0:15:29.430 --> 0:15:33.960
<v S1>whistle on them, which means they that big company or

0:15:33.960 --> 0:15:37.260
<v S1>that big person kind of. I'm not saying OpenAI did this.

0:15:37.260 --> 0:15:41.340
<v S1>I'm saying in general going back, you know, hundreds of years,

0:15:41.550 --> 0:15:46.080
<v S1>this concept is that the community turns against you. You

0:15:46.090 --> 0:15:49.120
<v S1>get looked at as like a rat or a a

0:15:49.120 --> 0:15:52.000
<v S1>tattletale or a narc or something, and it's just like

0:15:52.030 --> 0:15:55.180
<v S1>it's very lonely. Like, the most dangerous thing right now

0:15:55.180 --> 0:15:59.590
<v S1>is loneliness. Right. And and I'm just projecting here. I'm

0:15:59.590 --> 0:16:02.320
<v S1>just saying this is a common thing that happens with

0:16:02.320 --> 0:16:07.660
<v S1>whistleblowers is they get ostracized, which is isolating, and it's stressful.

0:16:07.660 --> 0:16:11.620
<v S1>That is, in my opinion, the most likely cause of

0:16:11.620 --> 0:16:17.830
<v S1>something like this. But who knows? I mean, some conspiracies, sometimes, uh,

0:16:17.830 --> 0:16:20.950
<v S1>whistleblowers are actually attacked. It doesn't mean it needs to

0:16:20.950 --> 0:16:22.870
<v S1>be open. I it could have been someone who is

0:16:22.870 --> 0:16:27.910
<v S1>friendly to OpenAI. Who who knows? I don't know, but

0:16:28.090 --> 0:16:30.940
<v S1>I just wanted to add that dynamic there. Y Combinator

0:16:30.940 --> 0:16:33.850
<v S1>backed startup called artisan is running ads all over San

0:16:33.850 --> 0:16:38.800
<v S1>Francisco with slogans like stop hiring humans, and artisans won't

0:16:38.800 --> 0:16:42.400
<v S1>complain about work life balance. This is brilliant. Okay, first

0:16:42.400 --> 0:16:45.130
<v S1>of all, the CEO says I did that on purpose.

0:16:45.160 --> 0:16:50.560
<v S1>It was dystopian on purpose. We're not actually dystopian. Uh,

0:16:50.590 --> 0:16:54.010
<v S1>don't believe you. I remember that thing from, uh. What

0:16:54.010 --> 0:16:56.860
<v S1>was it? I can't remember the name of it. It's, um,

0:16:57.430 --> 0:17:00.520
<v S1>not Woody Harrelson. Damn it. What is this guy's name?

0:17:00.520 --> 0:17:04.719
<v S1>Will Ferrell. Will Ferrell on? Um. Damn. What is the

0:17:04.720 --> 0:17:07.000
<v S1>name of that? I can't remember the name of that

0:17:07.000 --> 0:17:09.820
<v S1>damn show. Anyway, it's the one where he's a newscaster,

0:17:09.850 --> 0:17:13.060
<v S1>and he's just like, I don't believe you. And that's

0:17:13.060 --> 0:17:15.460
<v S1>exactly how I feel about this. I don't believe you.

0:17:15.460 --> 0:17:18.820
<v S1>So I think he thought that was going to be cool.

0:17:18.850 --> 0:17:22.120
<v S1>I don't know, maybe I'm not giving him enough benefit

0:17:22.150 --> 0:17:25.540
<v S1>of the doubt. Maybe he actually did it. It has

0:17:25.540 --> 0:17:29.230
<v S1>dual purpose, right? When you do this, it makes people

0:17:29.230 --> 0:17:33.970
<v S1>look and go, Holy crap, artisans won't complain about work

0:17:34.000 --> 0:17:36.580
<v S1>life balance. That's going to make a whole lot of

0:17:36.580 --> 0:17:40.449
<v S1>people mad. All press is good press, right? So bad press, look,

0:17:40.450 --> 0:17:42.730
<v S1>we're talking about it. A lot of people are talking

0:17:42.730 --> 0:17:47.200
<v S1>about it. So automatically they got attention. But even more

0:17:47.200 --> 0:17:49.780
<v S1>sinister than that, there are a whole lot of hiring

0:17:49.780 --> 0:17:54.010
<v S1>managers who are tired of humans complaining about work life balance,

0:17:54.010 --> 0:17:56.650
<v S1>and they're tired of people not showing up to work,

0:17:56.650 --> 0:17:59.200
<v S1>and they're tired of tired of people doing half the

0:17:59.200 --> 0:18:02.320
<v S1>work that they're supposed to be doing. And so this

0:18:02.320 --> 0:18:05.109
<v S1>is actually an appeal to them directly as well, to

0:18:05.140 --> 0:18:09.609
<v S1>fire your humans or stop hiring humans. So it's brilliant

0:18:09.609 --> 0:18:12.730
<v S1>in two different ways. And I'm curious if they're actually

0:18:12.760 --> 0:18:15.460
<v S1>going to do well. ChatGPT can now analyze real time

0:18:15.460 --> 0:18:19.750
<v S1>video through your phone's camera. Okay. ChatGPT has this. OpenAI

0:18:19.780 --> 0:18:22.330
<v S1>has this. I don't know if anthropic has it. I

0:18:22.359 --> 0:18:25.510
<v S1>haven't messed with the Claude app that much. The actual

0:18:25.540 --> 0:18:30.580
<v S1>static app, but, um, or the desktop app or phone app,

0:18:30.580 --> 0:18:35.800
<v S1>it is unbelievable to pull up an I have a

0:18:35.800 --> 0:18:38.620
<v S1>screen showing like I'm showing right now. And then to

0:18:38.650 --> 0:18:40.929
<v S1>say to it, um, hey, do you see what I'm

0:18:40.930 --> 0:18:43.030
<v S1>looking at? Hey, do you see that code? Help me

0:18:43.030 --> 0:18:46.570
<v S1>troubleshoot this thing over here. It's over here. Working and

0:18:46.570 --> 0:18:49.600
<v S1>returning code for you. But what? But watch this. You

0:18:49.600 --> 0:18:52.929
<v S1>didn't type anything. You're just talking. You're just talking. And

0:18:52.930 --> 0:18:57.160
<v S1>guess what? You're actually hearing it. Come back and say

0:18:57.160 --> 0:19:00.520
<v S1>things to you. So you are literally having a voice

0:19:00.520 --> 0:19:05.080
<v S1>conversation essentially with a colleague. And that colleague knows everything

0:19:05.080 --> 0:19:07.810
<v S1>about coding and is helping you code. But it's not

0:19:07.810 --> 0:19:11.440
<v S1>just coding. It can help you write or research or

0:19:11.440 --> 0:19:14.830
<v S1>do whatever. And this is the end of 2020 for

0:19:14.859 --> 0:19:17.470
<v S1>that that shipped and that was from Google. This one

0:19:17.470 --> 0:19:20.590
<v S1>is ChatGPT works the same. I only got it working

0:19:20.590 --> 0:19:23.530
<v S1>on my phone, though I haven't seen it on the

0:19:23.530 --> 0:19:25.629
<v S1>desktop app because it's a lot more powerful on a

0:19:25.630 --> 0:19:29.440
<v S1>desktop when you can see all your screens. And I'm

0:19:29.440 --> 0:19:32.410
<v S1>telling you, it is kind of like a ChatGPT moment

0:19:32.410 --> 0:19:36.520
<v S1>from late 2022, when you could literally have a regular

0:19:36.520 --> 0:19:39.820
<v S1>conversation with a thing that sees it's like it's over

0:19:39.850 --> 0:19:42.950
<v S1>your shoulder, it's sitting next to you. This is where

0:19:42.980 --> 0:19:46.880
<v S1>AGI starts to happen, where not quite, but where you

0:19:46.880 --> 0:19:51.110
<v S1>have a colleague that understands everything you're saying and can

0:19:51.109 --> 0:19:55.550
<v S1>just go and do general tasks. So hugely impressive. I

0:19:55.550 --> 0:19:58.070
<v S1>recommend you go check it out. The one that's really

0:19:58.070 --> 0:20:04.010
<v S1>impressive is the Google AI studio. Okay, Gemini two and agents. Yeah,

0:20:04.010 --> 0:20:06.170
<v S1>this is what I was just talking about. Completely surreal

0:20:06.200 --> 0:20:09.679
<v S1>to just talk to an AI that you can basically

0:20:09.710 --> 0:20:11.869
<v S1>see your screen. So let's see if this one actually

0:20:11.869 --> 0:20:15.140
<v S1>does it. Um, do do they usually put it at

0:20:15.140 --> 0:20:17.570
<v S1>the bottom. Damn it. Can't find it. All right. So

0:20:17.570 --> 0:20:20.929
<v S1>this is basically what I was talking about. Uh, Gemini two. Okay.

0:20:20.960 --> 0:20:23.209
<v S1>Now I really have to go find this thing. It's

0:20:23.210 --> 0:20:26.000
<v S1>annoying me. Yeah, hopefully you can hear that. I can't

0:20:26.000 --> 0:20:29.090
<v S1>hear it, but hopefully you can. Yeah. So you're basically

0:20:29.090 --> 0:20:32.660
<v S1>just talking to it. It's really cool. All right, next story.

0:20:32.690 --> 0:20:36.200
<v S1>Exxon is building its first ever external power plant focused

0:20:36.200 --> 0:20:41.210
<v S1>on AI data centers. This is insane. Exxon. They are

0:20:41.210 --> 0:20:43.550
<v S1>so good at seeing the future and I'm very mad

0:20:43.550 --> 0:20:46.730
<v S1>at them for many reasons. Well, like in the 1970s,

0:20:46.760 --> 0:20:50.000
<v S1>they saw the future of carbon going up and they

0:20:50.000 --> 0:20:52.850
<v S1>chose to bury that research. That's the thing that most

0:20:52.850 --> 0:20:55.459
<v S1>makes me angry. But in this case, they're seeing the

0:20:55.460 --> 0:21:00.590
<v S1>future of AI needing needing power. So they are going

0:21:00.619 --> 0:21:04.880
<v S1>into the business of providing AI data centers with power.

0:21:04.880 --> 0:21:07.070
<v S1>They're starting a whole new branch of business. I mean,

0:21:07.070 --> 0:21:10.700
<v S1>that is just absolutely brilliant. And like what what is

0:21:10.700 --> 0:21:13.310
<v S1>their stock? Yeah. Let's look at like I don't like

0:21:13.310 --> 0:21:18.619
<v S1>this graph one day okay. All yeah that's ExxonMobil. Look

0:21:18.619 --> 0:21:24.740
<v S1>at this. Since October 1st 2020 it was $33. And

0:21:24.740 --> 0:21:29.869
<v S1>today it's $120. So they're doing okay. So yeah really

0:21:29.869 --> 0:21:34.550
<v S1>really smart basically providing power to AI. Yeah. So one

0:21:34.550 --> 0:21:37.880
<v S1>is tracking health data in markdown files instead of apps.

0:21:37.880 --> 0:21:41.750
<v S1>I love doing everything in text. So really, really enjoyed

0:21:41.750 --> 0:21:44.690
<v S1>this article. Center click is released a line of GPS

0:21:44.690 --> 0:21:48.260
<v S1>based server appliances. You know I got one. Even though

0:21:48.260 --> 0:21:50.720
<v S1>I already have a time server, I got another one

0:21:50.720 --> 0:21:53.810
<v S1>because I am stupid and this is actually fairly cheap.

0:21:53.840 --> 0:21:57.080
<v S1>It's only like 250 bucks. Yeah, it was like 250 bucks.

0:21:57.080 --> 0:22:00.290
<v S1>So I will probably give the other one away. Whichever

0:22:00.290 --> 0:22:02.840
<v S1>one I like the least, I will probably give away

0:22:02.840 --> 0:22:05.120
<v S1>and I might end up keeping this one. It seems

0:22:05.119 --> 0:22:08.270
<v S1>like the metrics might be a little bit nicer, but anyway,

0:22:08.270 --> 0:22:11.960
<v S1>what it is, it's a time server. It's stratum one,

0:22:11.960 --> 0:22:15.470
<v S1>which means instead, okay, stratum two is you're pulling from

0:22:15.470 --> 0:22:19.909
<v S1>a stratum one. Stratum one is or no. Is it

0:22:19.910 --> 0:22:22.130
<v S1>stratum zero? I'm going to pull mine up and have

0:22:22.130 --> 0:22:25.010
<v S1>my IP address in there. Um, I can't remember if

0:22:25.010 --> 0:22:28.580
<v S1>it's stratum one is the one that goes to satellites. No,

0:22:28.580 --> 0:22:32.210
<v S1>it's stratum zero is stratum zero I think. So basically

0:22:32.240 --> 0:22:35.690
<v S1>the most direct one you can have okay. The absolute

0:22:35.690 --> 0:22:40.800
<v S1>most direct one is you actually on on board these satellites.

0:22:40.830 --> 0:22:44.460
<v S1>This is the GPS system manages. It's the most accurate

0:22:44.490 --> 0:22:50.010
<v S1>time system in the world. It's 24 different satellites who have, um,

0:22:50.010 --> 0:22:53.760
<v S1>I believe cesium clocks. Either cesium or the other one.

0:22:53.760 --> 0:22:56.340
<v S1>I can't remember the other atom, but cesium is the

0:22:56.340 --> 0:23:01.320
<v S1>most accurate one. Their atomic clocks on the satellites. 24

0:23:01.350 --> 0:23:06.720
<v S1>of them. And they're in different orbit patterns. These 24 satellites,

0:23:06.720 --> 0:23:09.480
<v S1>if you connect to them, give you the most accurate

0:23:09.510 --> 0:23:12.780
<v S1>time that you can get on the planet, essentially, um,

0:23:12.960 --> 0:23:17.160
<v S1>because all their clocks are synced and they're all working

0:23:17.160 --> 0:23:19.830
<v S1>in conjunction and they agree on what the time is,

0:23:19.859 --> 0:23:22.890
<v S1>and then they provide that time to the world. And

0:23:22.890 --> 0:23:25.890
<v S1>this is how we have accuracy with GPS and everything.

0:23:25.890 --> 0:23:30.060
<v S1>So if you have a time server like time.com or whatever,

0:23:30.060 --> 0:23:33.660
<v S1>that is usually a I can't remember if that's stratum one.

0:23:33.690 --> 0:23:38.280
<v S1>Let me see okay. Stratum one. Yeah. Stratum one is

0:23:38.280 --> 0:23:42.270
<v S1>the original one. It's the one that has access to

0:23:42.300 --> 0:23:45.869
<v S1>actual satellites. So you see that S1 right there. That

0:23:45.869 --> 0:23:49.169
<v S1>S1 means it's the stratum one server. So look at this.

0:23:49.170 --> 0:23:57.000
<v S1>I am 0.001680 milliseconds off of the true time on

0:23:57.000 --> 0:24:00.929
<v S1>the satellites. And if I do mine, which is time,

0:24:00.930 --> 0:24:02.189
<v S1>I don't want to do it because it's got my

0:24:02.190 --> 0:24:04.650
<v S1>IP address in there. Not really a security risk, just

0:24:04.680 --> 0:24:07.109
<v S1>kind of stupid to do on a video. But um,

0:24:07.140 --> 0:24:11.070
<v S1>mine is even more accurate because it's actually running from

0:24:11.070 --> 0:24:15.119
<v S1>my server room and it's got an actual antenna talking

0:24:15.150 --> 0:24:18.210
<v S1>to actual satellites. I just love that I've always been

0:24:18.210 --> 0:24:21.419
<v S1>obsessed with time. So bottom line, if you want to

0:24:21.420 --> 0:24:26.070
<v S1>get into some super geeky time stuff for only like

0:24:26.100 --> 0:24:29.040
<v S1>2 or 300 bucks, you should get one of these things.

0:24:29.040 --> 0:24:32.340
<v S1>They are super cool. Look at this United Airlines, which

0:24:32.340 --> 0:24:38.100
<v S1>is my favorite airline. They are adding share item location

0:24:38.100 --> 0:24:41.760
<v S1>into the mobile app. So if you lose your luggage,

0:24:41.760 --> 0:24:45.840
<v S1>you can actually add your link to your AirTag and

0:24:45.840 --> 0:24:48.629
<v S1>help United find your bag. That is the coolest thing ever.

0:24:48.630 --> 0:24:51.689
<v S1>YouTube is seeing massive growth in TV viewing, with sports

0:24:51.690 --> 0:24:57.060
<v S1>content up 30%. Users watching over 400,000,000 hours of podcasts

0:24:57.060 --> 0:25:01.770
<v S1>on TV's monthly YouTube. Just absolutely killing it. Someone in

0:25:01.770 --> 0:25:05.070
<v S1>Louisiana got a bird flu and they are hospitalized. I

0:25:05.070 --> 0:25:08.700
<v S1>actually heard a conflicting report. Somebody was saying or some

0:25:08.700 --> 0:25:11.760
<v S1>report was saying 60% of people die. I've heard a

0:25:11.760 --> 0:25:14.729
<v S1>lot of other people might have been this article that

0:25:14.730 --> 0:25:16.530
<v S1>said a lot of people got better from it. So

0:25:16.530 --> 0:25:21.240
<v S1>it wasn't like killing everybody. So maybe we don't have

0:25:21.240 --> 0:25:24.479
<v S1>a pandemic, maybe we do. And it's more like Covid

0:25:24.480 --> 0:25:26.640
<v S1>and it's not so bad because we have, you know,

0:25:26.670 --> 0:25:29.670
<v S1>vaccines come out. I mean, we already have flu vaccines,

0:25:29.670 --> 0:25:32.880
<v S1>so maybe, maybe it won't be so bad. I don't know,

0:25:33.210 --> 0:25:36.600
<v S1>don't really want to think about it, honestly. Tokyo is

0:25:36.630 --> 0:25:41.940
<v S1>trying to increase births by giving its 160,000 government workers

0:25:41.970 --> 0:25:46.350
<v S1>a four day workweek starting in April. I mean that

0:25:46.770 --> 0:25:50.040
<v S1>the birth rate is down to 1.2 babies per woman,

0:25:50.040 --> 0:25:53.369
<v S1>and they're trying to get that that back up. Um,

0:25:53.400 --> 0:25:58.800
<v S1>expecting fewer than 700,000 newborns this year, lowest since records

0:25:58.800 --> 0:26:02.700
<v S1>started in 1899. So they're trying to give people a

0:26:02.700 --> 0:26:07.560
<v S1>four day work weeks. So basically a three day weekend. Hopefully,

0:26:07.590 --> 0:26:10.379
<v S1>you know, go out, have a good time, uh, meet

0:26:10.380 --> 0:26:13.770
<v S1>somebody and make a baby. Research shows ketones don't just

0:26:13.770 --> 0:26:18.840
<v S1>provide energy to the brain. They actually help remove misfolded proteins. Okay,

0:26:18.869 --> 0:26:23.580
<v S1>I actually have my buddy Danny gave me some ketone drinks.

0:26:23.580 --> 0:26:25.919
<v S1>I don't know, a little bit cautious of that. I'm

0:26:25.920 --> 0:26:27.990
<v S1>going to wait till the science is a little bit better.

0:26:28.020 --> 0:26:32.310
<v S1>All right. Discovery Stack Analyzer detects more than 500 technologies

0:26:32.310 --> 0:26:34.260
<v S1>in your code base. You basically point it to a

0:26:34.290 --> 0:26:36.820
<v S1>GitHub repo, and it tells you all the different tech

0:26:36.850 --> 0:26:40.000
<v S1>that it uses, all the different security talks at Reinvent.

0:26:40.030 --> 0:26:43.990
<v S1>Thanks to Clint for showing me this link. And in

0:26:43.990 --> 0:26:49.690
<v S1>a series of compression tests, Zstd consistently outperformed gzip and

0:26:49.690 --> 0:26:55.930
<v S1>zlib across speed, compression and decompression efficiency. Metrics and recommendation

0:26:55.930 --> 0:27:02.409
<v S1>of the week downtime, fiction, family, friends, downtime, fiction, family, friends,

0:27:02.410 --> 0:27:06.760
<v S1>and the aphorism of the week. Almost everything will work

0:27:06.790 --> 0:27:10.270
<v S1>again if you unplug it for a few minutes, including you.

0:27:10.300 --> 0:27:14.320
<v S1>Almost everything will work again if you unplug it for

0:27:14.320 --> 0:27:19.270
<v S1>a few minutes, including you, Anne Lamott. Unsupervised learning is

0:27:19.270 --> 0:27:22.390
<v S1>produced and edited by Daniel Miessler on a Neumann U87

0:27:22.420 --> 0:27:25.690
<v S1>AI microphone using Hindenburg. Intro and outro music is by

0:27:25.690 --> 0:27:27.969
<v S1>Zomby with a Y, and to get the text and

0:27:27.970 --> 0:27:30.340
<v S1>links from this episode, sign up for the newsletter version

0:27:30.340 --> 0:27:34.900
<v S1>of the show at Daniel missler.com/newsletter. We'll see you next time.