WEBVTT - UL NO. 428: Reason to Fear; Reason to Build.

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<v S1>What do you call an endpoint security product that works

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<v S1>perfectly but makes users miserable? A failure? The old approach

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<v S1>to endpoint security is to lock down employee devices and

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<v S1>rollout changes through forced restarts, but it just doesn't work.

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<v S1>It is miserable because they got a mountain of support tickets.

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<v S1>Employees start using personal devices just to get their work done,

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<v S1>and executives up out the very first time. It makes

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<v S1>them late for a meeting. You can't have a successful

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<v S1>security implementation unless you work with end users, and that's

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<v S1>where collide comes in. Their user first device trust solution

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<v S1>notifies users as soon as it detects an issue on

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<v S1>their device, and teaches them how to solve it without

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<v S1>needing help from it. That way, untrusted devices are blocked

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<v S1>from authenticating, but users don't stay blocked. Collide is designed

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<v S1>for companies with Okta, and it works on Mac OS, windows,

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<v S1>Linux and mobile devices. So if you have Okta and

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<v S1>you're looking for a device trust solution that respects your team,

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<v S1>visit callide.com/unsupervised learning to watch a demo and see how

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<v S1>it works. That's callide.com collide.com/unsupervised learning. Welcome to Unsupervised Learning,

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<v S1>a security, AI and meaning focused podcast that looks at

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<v S1>how best to thrive as humans in a post AI world.

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<v S1>It combines original ideas, analysis, and mental models to bring

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<v S1>not just the news, but why it matters and how

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<v S1>to respond. All right. Welcome to unsupervised learning. This is

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<v S1>Daniel Missler. I have been traveling like a crazy person,

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<v S1>but have got to get this podcast out. Don't like

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<v S1>skipping weeks, so let's jump in. So it has been

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<v S1>a crazy week. Started for the last episode. Bit overexposed,

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<v S1>been doing lots of travel, interacting with humans and stuff

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<v S1>like that. Got some minor con flu or whatever it is,

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<v S1>but I didn't actually get it. I didn't get it bad.

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<v S1>It's just slightly congested. Can't tell if it's allergies or whatever,

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<v S1>but everything's fine. Got a new pattern here. Analyze presentation.

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<v S1>Say a new fabric pattern that looks at the transcript

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<v S1>of a presentation and tells you how much the presenter

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<v S1>is like trying to brag versus how much they're trying

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<v S1>to entertain versus how much they're actually trying to inform.

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<v S1>So it tells you essentially how self versus other centered

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<v S1>that they are. I spoke at equilibrium conference last week.

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<v S1>It was fantastic. Got to meet Chris Hughes for the

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<v S1>first time in person and appreciate the invite from Rohit.

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<v S1>It was a great event, just absolutely loved it and

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<v S1>got to attend a live UFC event for the first time.

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<v S1>It was so great. It was a UFC 300. It

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<v S1>was supposed to be like the best UFC ever. You

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<v S1>know how they always say that, but it turned out

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<v S1>it actually was. It was unbelievable. Especially the major fight

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<v S1>between Cage and Holloway. It was beyond all expectations. It

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<v S1>was just so great going to be speaking at Hardly

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<v S1>Strictly Security soon, speaking at the Security Frontiers conference that

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<v S1>are actually already happened, and also this one already happened.

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<v S1>This was yesterday and this was super fun. So thanks

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<v S1>to Jane Chief for the invite there and got to

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<v S1>meet and hang out with song for quite a while.

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<v S1>That was super fun to talk with her. She's super

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<v S1>bright and awesome and yeah, gearing up for RSA and

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<v S1>just finish reading A Sense of Style by Steven Pinker

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<v S1>for the third time. Highly recommend you put that in

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<v S1>your rotation for every few years. It's my favorite writing

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<v S1>and style guide, so we talked about this one. Analyze

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<v S1>presentation didn't really do any other essays or videos this

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<v S1>week just because all the travel and stuff, but they

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<v S1>are accumulating and I'm going to have a lot more

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<v S1>content coming out soon, and it'll be both an essay

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<v S1>form and YouTube. I'm actually transitioning really heavy towards YouTube,

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<v S1>so go subscribe to the channel if you're not subscribed yet.

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<v S1>It is. Unsupervised learning is the name of the channel

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<v S1>on YouTube. All right. Security. Microsoft says Chinese hackers are

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<v S1>using AI to inflame social tensions in the US. And

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<v S1>every time I hear about these, I can't wait to

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<v S1>build my propaganda tracker, because if somebody starts a campaign,

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<v S1>I want to see where it spreads, where it becomes viral.

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<v S1>And we have it's like Dan Kaminsky used to say,

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<v S1>we have the technology. I don't know if that's from

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<v S1>Bionic Man. Think it might be from Bionic Man. But anyway, yeah,

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<v S1>we have the technology to do this type of stuff,

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<v S1>especially once we start incorporating AI agents. So I'm really

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<v S1>looking forward to this. Yeah. And so the thing about

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<v S1>it is we need a combination of government and private

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<v S1>for this. Right. Because we need the thing to be trusted.

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<v S1>But we also need it to be dependable and actually

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<v S1>incentivized to work. And of course it needs funding. But

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<v S1>you got to come up with some kind of cool

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<v S1>name prop track or something. Propaganda tracking. Okay, over 92,000

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<v S1>D-Link NAS devices exposed nasty to IP has three high

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<v S1>severity vulnerabilities us just blacklisted for additional Chinese companies for

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<v S1>procuring AI chips for China's AI modernization efforts. And US

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<v S1>and China are racing to dominate with AI driven drone swarms.

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<v S1>Once again, you gotta check out this book by Daniel Suarez.

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<v S1>Kill decision. Really entertaining and also very prescient at the

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<v S1>same time. Google's contract reveals a partnership with Israel's Defense Ministry,

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<v S1>and this caused actually like a walkout or a protest

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<v S1>at Google. And I think it was 23 people. They

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<v S1>all got fired, which was pretty interesting. Technology. Great New

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<v S1>York Times piece on automating finance jobs using AI, and

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<v S1>got a cool quote here. Some of Wall Street's major

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<v S1>banks are asking the same question as they test AI

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<v S1>tools that can largely replace their armies of analysts by

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<v S1>performing in seconds, the work that now takes hours or

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<v S1>a whole weekend. That is a big jump. Seconds versus

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<v S1>hours or a whole weekend. Like like we've been saying,

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<v S1>it's like at this point, if you don't see the

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<v S1>impact of AI and jobs, it's because you don't read

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<v S1>enough or you don't want to see. I mean, this

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<v S1>is willful ignorance at this point. It isn't like the.com boom.

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<v S1>This is what everyone's saying. oh.com crypto. We got a

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<v S1>lot of people saying things like this and it's like, no,

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<v S1>this is tech that's instantly useful. And when Wall Street

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<v S1>is talking about this in very concrete terms of like, yeah,

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<v S1>we're getting rid of lots of people because seconds versus

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<v S1>hours or a whole weekend. I mean, I don't know

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<v S1>how you get more compelling and realistic than that, yo.

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<v S1>He continues to do great work around AI agents. He's

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<v S1>got one that does AI agent log visualization. Let's open

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<v S1>this one up. So basically you click through here and

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<v S1>yeah look at these. You click through and you can

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<v S1>see exactly what the agent did and get like logs

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<v S1>from it. Really cool. Project. Russia's getting 89% of its

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<v S1>chips through China as a way of bypassing sanctions. Gary

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<v S1>Marcus is betting 10 million that we won't have smarter AI,

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<v S1>smarter than humans by 2025. Yeah, the whole trick there

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<v S1>is like how they measure, right, what KPI they're actually using.

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<v S1>But I think this person's, uh, yeah, this is going

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<v S1>to come down to definition competition, I guarantee you. But

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<v S1>that is a bad bet. I think Mr. Ole just

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<v S1>released a eight times 22 billion model via torrent, which

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<v S1>is pretty cool. It's a really big files and distributed

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<v S1>and yeah, and the more people downloading it, the faster

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<v S1>it gets. So this is all the reason that transformers

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<v S1>or no torrents were made in the first place. So cool.

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<v S1>This paper says transformers capable of acting like a general

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<v S1>purpose computer. OpenAI is shipped new GPT four turbo. Although

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<v S1>I have tested it, and in my most difficult AI

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<v S1>jobs that I have, which are within fabric like detect

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<v S1>hidden message, for example, that is a extremely difficult human

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<v S1>cognitive function, like advanced logic is really needed there. And

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<v S1>opus still crushes, uh, GPT four in that particular one

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<v S1>and others that are similar. And after I beat them,

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<v S1>professional go players didn't just catch up, they became better

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<v S1>and more creative. I love this thing where it's like

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<v S1>we learned and we got better, but I don't want

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<v S1>people to think that it means we'll be able to

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<v S1>keep up. It really doesn't, but we still can find

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<v S1>things interesting and useful, even if it's just human to human.

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<v S1>And we're nowhere near as good as human versus computer

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<v S1>or computer versus computer. That's fine. Right? It's not. One

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<v S1>does not have to mean the other. So look at chess.

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<v S1>Chess is more popular than ever. And we got crushed

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<v S1>by computers in 97. And we're not getting much better.

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<v S1>Nanotech Onyx is rolling out Cube Fab, a moderate, a

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<v S1>modular chip fab powered by Nvidia to democratize semiconductor manufacturing.

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<v S1>Human pin got flamed by Mkbhd, and I think he

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<v S1>could say whatever he wants. I just think he was

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<v S1>a little harsh on this thing. And to me, it's

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<v S1>not like I want to control what he's saying. I

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<v S1>was just a little bit let down by the vibe.

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<v S1>I tend to think of him like as this nice,

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<v S1>balanced person. So when I see a headline that's just

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<v S1>like worst product ever, it just disappointed me at a

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<v S1>personality level, not at an analysis level. Nothing about his

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<v S1>analysis was wrong, and he actually was somewhat balanced in

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<v S1>the quite balanced inside of the actual review. My thing

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<v S1>is like when you put that spin of like, worst ever,

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<v S1>it just automatically has like this negative valence to it.

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<v S1>And it turned me off. As a fan of his reviews,

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<v S1>but I don't think he was wrong, and I don't

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<v S1>think anyone should be telling him what he can or

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<v S1>cannot do. Dyson's new Clean Trace feature lets you use

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<v S1>AR to see all the spots you missed. Okay, but

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<v S1>what do you have to wear? Do you have to

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<v S1>wear a resume, an Oculus, or an AVP Sequoia's arc product?

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<v S1>This one I haven't messed with yet introduces three unique

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<v S1>archetypes to help startups navigate their way to market success.

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<v S1>I'm going to keep this tab open and you need

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<v S1>to go play with that more. Tesla just dropped the

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<v S1>FSD subscription from I think it was like 250 or 300,

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<v S1>something like that, and now it's 100 bucks a month. Cool.

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<v S1>So I hope mine that I was already paying for

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<v S1>just goes down to 99 naturally. And I don't have

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<v S1>to do something like cancel it and renew. All right, humans,

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<v S1>right after the solar eclipse, a whole bunch of people

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<v S1>were googling my eyes hurt, which, uh, further diminishes my

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<v S1>hope for humanity. It's not so much that they looked

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<v S1>at the sun. It's the two hit combo of them

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<v S1>looking at the sun and then wondering why they couldn't see.

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<v S1>And one of the books that will absolutely change your

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<v S1>mind on like, so much stuff is Everybody Lies. It

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<v S1>talks about the difference between what people say is true

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<v S1>or what people say they believe or like versus what

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<v S1>they actually Google for. And it's just like it reveals

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<v S1>so much interesting stuff. It's just a fantastic book. Job

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<v S1>interviews are pretty terrible at predicting job performance, but what's

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<v S1>the alternative? That's my question, is, like, I see a

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<v S1>lot of things that say it doesn't do a good job,

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<v S1>but if you don't have a better proxy, then so what?

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<v S1>Why are we talking about it? Over half of women

0:11:05.340 --> 0:11:10.440
<v S1>experience sexual harassment at work. Homicides are on a surprising

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<v S1>decline across major cities. I feel like we're this close

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<v S1>and very close to an onion article where far right

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<v S1>people are. Like, we used to have good murder rates,

0:11:20.940 --> 0:11:24.900
<v S1>and now the whole country is like feminized. And the

0:11:24.900 --> 0:11:27.830
<v S1>murder rates keep. Going down. And that's just further evidence

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<v S1>of America's decline. Not trying to make fun of the right.

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<v S1>They're just, uh. I thought that was funny. I recently

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<v S1>re subscribed to onion, so I'm hearing onion jokes everywhere

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<v S1>I look. Now, U.S. steel is about to become part

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<v S1>of Japan's Nippon Steel. I think that's how you pronounce that.

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<v S1>And Harvard is back to SAT and Act scores. It's

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<v S1>almost like they were a good idea in the first place,

0:11:50.630 --> 0:11:52.730
<v S1>which is why we had them in the first place.

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<v S1>And my comment here, I wish the Overton Pendulum had

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<v S1>more than two settings, which is like woke and racist. Like,

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<v S1>can we get a middle ground? Can we get a

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<v S1>middle setting? Compassion, logical, something like secular humanism or something,

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<v S1>or even not secular humanism, just logical humanism getting a

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<v S1>lot more open to some moderate religion? I think it's

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<v S1>got a lot of positive functions. In fact, the research

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<v S1>by Jonathan Haidt on this is pretty compelling, basically showing

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<v S1>that kids of religious parents are doing so much better

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<v S1>in mental health. And yeah, I'm trying to track all

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<v S1>these threads and find a way to unify all this.

0:12:31.400 --> 0:12:33.800
<v S1>Dumb phones are making comeback. You basically get to stay

0:12:33.800 --> 0:12:36.439
<v S1>in contact but not be distracted. It's going to be

0:12:36.440 --> 0:12:39.590
<v S1>a Dungeons and Dragons show at Madison Square Garden, which

0:12:39.590 --> 0:12:42.590
<v S1>is supposedly going to sell out. That does not surprise me.

0:12:42.620 --> 0:12:45.319
<v S1>I think this whole thing, which, by the way, tonight

0:12:45.320 --> 0:12:46.970
<v S1>is a gaming night and I have to leave soon,

0:12:46.970 --> 0:12:49.400
<v S1>so I guess I'm going to speed up. Yeah, I

0:12:49.400 --> 0:12:52.760
<v S1>played D&amp;D with my friends. It's fantastic. I'm so glad

0:12:52.760 --> 0:12:56.000
<v S1>to see D&amp;D rising up. Actually, it doesn't really matter

0:12:56.000 --> 0:12:59.480
<v S1>if it's exactly D&amp;D just getting together, doing some sort

0:12:59.480 --> 0:13:04.490
<v S1>of intellectually, creatively challenging role playing game I think is

0:13:04.490 --> 0:13:08.450
<v S1>super valuable. What top performers do and how to deal

0:13:08.450 --> 0:13:13.189
<v S1>with their critics and detractors. Ernest Hemingway transform from a

0:13:13.190 --> 0:13:16.400
<v S1>humble journalist to a celebrity, losing himself to the fame

0:13:16.400 --> 0:13:20.450
<v S1>and power that came with success. Abraham Lincoln was shaped

0:13:20.450 --> 0:13:24.260
<v S1>by Aesop's Fables more than any other book, including the Bible.

0:13:24.260 --> 0:13:27.559
<v S1>That was a really interesting read and for my idea

0:13:27.559 --> 0:13:30.800
<v S1>and analysis this week, I heard somewhere on a podcast

0:13:30.800 --> 0:13:34.100
<v S1>it might have been Alex Hormones. It might have been like, no,

0:13:34.100 --> 0:13:37.130
<v S1>it was so many on Chris Williams and maybe the

0:13:37.130 --> 0:13:40.610
<v S1>gamer doctor or yeah, maybe. I'm not sure exactly who

0:13:40.610 --> 0:13:43.099
<v S1>it was, but they didn't exactly say it this way.

0:13:43.100 --> 0:13:45.710
<v S1>But it was essentially like, if you have an idea

0:13:45.710 --> 0:13:48.679
<v S1>that's really exciting to you, you basically don't want to

0:13:48.679 --> 0:13:51.440
<v S1>share that or you don't want to get any wins

0:13:51.440 --> 0:13:55.010
<v S1>from the idea that aren't wins from actually doing the work.

0:13:55.010 --> 0:13:58.610
<v S1>And so I'm expanding that out here to basically say

0:13:58.610 --> 0:14:01.730
<v S1>energy you have for the idea is limited and precious,

0:14:01.730 --> 0:14:04.520
<v S1>and even telling someone about it, I think they did say,

0:14:04.520 --> 0:14:06.980
<v S1>actually say this. I think the guests might have said this.

0:14:06.980 --> 0:14:10.250
<v S1>Even telling somebody about it removes some of its power.

0:14:10.250 --> 0:14:12.950
<v S1>So instead of telling people about it, you should work

0:14:12.950 --> 0:14:16.460
<v S1>on it immediately. Use that power to go right into

0:14:16.460 --> 0:14:19.310
<v S1>the actual work. Otherwise, you might end up not doing

0:14:19.310 --> 0:14:23.570
<v S1>anything because your your body, like evolution, thinks that you

0:14:23.570 --> 0:14:26.630
<v S1>did the work because you talked about it. It's like

0:14:26.630 --> 0:14:28.880
<v S1>it's a fake win and you don't want to do that.

0:14:28.880 --> 0:14:31.400
<v S1>This one I'm probably going to do as a standalone essay.

0:14:31.610 --> 0:14:33.710
<v S1>Reason to worry, reason to build. So I'm going to

0:14:33.710 --> 0:14:36.380
<v S1>skip that one. And we got a colab notebook here

0:14:36.380 --> 0:14:40.940
<v S1>that uses cloud to turn images into magic cards. Karpathy

0:14:41.150 --> 0:14:45.890
<v S1>launched LMK shell history. This thing is really cool. Adder

0:14:45.890 --> 0:14:49.430
<v S1>turns your terminal into a pair programming session with AI,

0:14:49.460 --> 0:14:54.740
<v S1>DNS viz cohere Rerank three boosts enterprise search and drag systems.

0:14:54.740 --> 0:14:58.700
<v S1>Terminal tweaks UDL turns your text prompts into music. This

0:14:58.700 --> 0:15:03.320
<v S1>thing is insane. Collection of content ideas that have resonated

0:15:03.320 --> 0:15:08.120
<v S1>on TikTok. Pretty cool list for creators. Fire crawls Wdev

0:15:08.150 --> 0:15:13.040
<v S1>turns entire websites into data sets for LMS. Zeek turns

0:15:13.040 --> 0:15:17.570
<v S1>your command line into a powerful plaintext Zettelkasten or personal

0:15:17.570 --> 0:15:20.840
<v S1>wiki keeper. Kind of an alternative to some of the

0:15:20.840 --> 0:15:23.840
<v S1>other ones like obsidian. And yeah, recommendation of the week

0:15:23.840 --> 0:15:25.700
<v S1>is actually to read that piece, which I'm going to

0:15:25.700 --> 0:15:28.369
<v S1>do a standalone episode on, and the aphorism of the

0:15:28.370 --> 0:15:32.090
<v S1>week being deeply loved by someone gives you strength, but

0:15:32.090 --> 0:15:36.410
<v S1>loving someone deeply gives you courage. Being deeply loved by

0:15:36.410 --> 0:15:40.220
<v S1>someone gives you strength, while loving someone deeply gives you courage.

0:15:40.220 --> 0:15:44.479
<v S1>Lao Tzu Unsupervised Learning is produced and edited by Daniel

0:15:44.480 --> 0:15:49.820
<v S1>Missler on a 1987 AI microphone using Hindenburg. Intro and outro.

0:15:49.820 --> 0:15:53.150
<v S1>Music is by zombie with a Y, and to get

0:15:53.150 --> 0:15:55.250
<v S1>the text and links from this episode, sign up for

0:15:55.250 --> 0:16:00.860
<v S1>the newsletter version of the show at Daniel missler.com/newsletter. We'll

0:16:00.860 --> 0:16:01.580
<v S1>see you next time.