WEBVTT - UL NO. 443: North Korean Co-workers, UBI Failure?, AI-Groupthink, GPS Spoofing…

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<v S1>Whether you're starting or scaling your company's security program, demonstrating

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<v S1>top notch security practices and establishing trust is more important

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<v S1>you go to Vanta comm slash unsupervised. That's vanta.com/supervised for

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<v S1>$1,000 off. Welcome to Unsupervised Learning, a security, AI, and

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<v S1>meaning focused podcast that looks at how best to thrive

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<v S1>as humans 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 Miessler. All right. So

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<v S1>here's what's up this week gearing up for Las Vegas.

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<v S1>Going to be there for 11 days. Assuming I don't

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<v S1>get sick after like four of those. And if you

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<v S1>see me, please, uh, please know that I'm a bit, uh,

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<v S1>shy and awkward. A bit, uh, like 20 to 60%

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<v S1>of the time. I mean, sometimes it's just not there

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<v S1>at all, and sometimes it's pretty bad. So just, uh,

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<v S1>say hi. Anyway, I love, uh, seeing people, and, uh,

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<v S1>it's a good training for me. Need to get better

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<v S1>at this. Anyway, watch a number of videos last night,

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<v S1>I believe, about people losing their jobs and starting, like,

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<v S1>a YouTube channel and, like, just trying to branch out

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<v S1>and maybe start a new career. And it was extremely sad.

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<v S1>And I watched like two of these. And of course

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<v S1>the feed showed me like ten more. And I ended

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<v S1>up just watching these videos for like an hour and

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<v S1>a half, two hours. And it was extremely sad. I

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<v S1>feel like people are seeing the ground shift underneath their

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<v S1>feet and they're like, why does nobody want me, right?

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<v S1>This one particular one was really sad because he was like,

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<v S1>I thought I was a good product manager. And then

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<v S1>after ten and a half months of interviewing and getting

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<v S1>all the way through interviews and getting to the very end,

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<v S1>and then not being given an offer or being given

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<v S1>an offer and then being ghosted after ten and a

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<v S1>half months, I no longer believe in myself. I no

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<v S1>longer believe I'm a good product manager, and it was

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<v S1>just devastating to hear this. And he was being so

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<v S1>like just open and honest and vulnerable. And it was

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<v S1>just it was hard to watch and just felt very human.

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<v S1>And this is essentially why I'm doing what I'm doing

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<v S1>now is to basically try to help people who are

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<v S1>in that situation and try to hopefully explain what I

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<v S1>see coming in terms of like, you shouldn't judge yourself

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<v S1>based on what these companies think about your skills and

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<v S1>what they think about your worth. Um, they do not

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<v S1>determine your worth. And this is why we need something

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<v S1>like human 3.0 is because human 3.0 is how to

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<v S1>measure yourself. Okay, you in your entirety. Full spectrum is

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<v S1>how you should be thinking about yourself, not in terms

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<v S1>of do you have these particular product management skills that

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<v S1>this particular type of startup needs or this particular type

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<v S1>of company needs? That is a very old world way

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<v S1>of thinking about things. And I don't fault anyone for

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<v S1>thinking that way because you're trying to get a job,

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<v S1>you're trying to pay bills, right? So I understand that.

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<v S1>I'm just saying that society as a whole is stuck

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<v S1>in the past in seeing the world in this way,

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<v S1>and we need to move beyond it, especially because AI

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<v S1>is going to accelerate this whole process where they're going

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<v S1>to see more and more people as expendable in this way,

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<v S1>the same way that this guy was fired in ten

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<v S1>and a half months later, he still can't get a job.

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<v S1>That's going to keep happening to more and more people,

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<v S1>and we need a solution. So I would say be

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<v S1>kind to people. Everyone is hurting in some kind of way,

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<v S1>and especially right now. And when you look at our politics,

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<v S1>I see a lot of the current situation as a

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<v S1>symptom of people being hurt and people being afraid. And

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<v S1>I think that makes people more mean and less empathic

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<v S1>than they otherwise would be. And I got this great

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<v S1>quote here. Kindness is a language which the deaf can

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<v S1>hear and the blind can see by Mark Twain. All right.

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<v S1>So I got my best argument for why I will

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<v S1>have an extraordinary effect on economy and jobs. And if

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<v S1>you have any friends who are still skeptical about AI,

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<v S1>I recommend sending them this. It's called, uh. If we've

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<v S1>been thinking about AI all wrong, created a video for substrate. It's, uh,

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<v S1>one of my best performing videos, actually. Uh, and if

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<v S1>you prefer videos to long articles and you still want

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<v S1>to learn about substrates, recommend checking that out. Security Knowbe4

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<v S1>accidentally hired a North Korean state actor who tried to

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<v S1>install info stealing malware on their device. The craziest thing

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<v S1>about this whole North Korea stuff and how they're like

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<v S1>breaking into these companies, they're not really breaking in. They're

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<v S1>applying they're applying to these companies and getting hired. And

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<v S1>it really reminds me of this Key and Peele skit

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<v S1>where the guy's like, yeah, so what we're going to

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<v S1>do is we're going to sneak in. I think I

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<v S1>told this joke before, but he's like, what we're going

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<v S1>to do is we're going to sneak in, we're going

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<v S1>to get hired. And then when they give us work,

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<v S1>we're going to do the work, and then they're going

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<v S1>to deposit money in our bank accounts every two weeks.

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<v S1>And his buddy looks at him and he goes, dude,

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<v S1>you're talking about a fucking job. That's what a job is.

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<v S1>And that was the end of the skit. And that's

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<v S1>literally what these guys are doing. They are applying to jobs,

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<v S1>getting hired and doing the work. The trick is they

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<v S1>just take their regular salaries, and I'm not sure what

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<v S1>percentage is actually doing the work versus doing the work

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<v S1>poorly versus doing the work, plus trying to hack them additionally.

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<v S1>Not sure about that exactly. I'm not sure anyone is,

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<v S1>but here's what I do know. Uh, they're taking the

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<v S1>money from the salaries and putting it back into the

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<v S1>government to use for like the missile program or whatever

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<v S1>other shenanigans North Korea is doing. So they're they're literally

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<v S1>deploying it people into the world, into advanced economies to

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<v S1>get actual jobs, to earn salaries, to put into the

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<v S1>missile program. That is trippy to me. That is completely insane.

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<v S1>All right. Next one GitHub's repository design flaw allows indefinite

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<v S1>access to data from deleted and private repositories. This is

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<v S1>a piece from Truffle Security. A plane's GPS was jammed

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<v S1>on a commercial transatlantic route for the first time, raising

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<v S1>fears that thousands of other flights could be at risk

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<v S1>of deliberate hacking. This was between Madrid and Toronto, thanks

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<v S1>to teens for subscribing or not subscribing for sponsoring, and

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<v S1>there's been a 400% increase in GPS spoofing incidents, so

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<v S1>this one is related to the previous one affecting around

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<v S1>900 flights daily. And this is from ops Dot Group.

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<v S1>And um, yeah, spike is causing major safety concerns, especially

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<v S1>with systems like e.g. AWS becoming unreliable and there are

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<v S1>a number of people looking at like, why is this happening?

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<v S1>What are the implications? Yeah, I'm wondering what the other

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<v S1>options are for Nav if there's like secondary or tertiary

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<v S1>systems that we can use when a jam happens or

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<v S1>blocks against the jamming, like a couple of different options.

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<v S1>The other thing is if there's six miles up or

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<v S1>whatever and the jamming is happening, is that coming from

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<v S1>inside the house? Like, is that someone with a jammer

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<v S1>on the plane? Is that someone on the ground? I mean,

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<v S1>these are kind of the only options. Someone on the

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<v S1>ground is shooting it up at the plane, which seems

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<v S1>pretty hard. Another plane coming along with it and shooting it.

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<v S1>That seems very hard and also very expensive. Or they're

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<v S1>in orbit, uh, and they would be moving very fast

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<v S1>if they were in orbit. So and they're shooting down

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<v S1>I mean, I'm trying to list all the options other

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<v S1>than aliens. And, uh, it seems like someone on the

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<v S1>plane is more likely so out of those. But, uh,

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<v S1>I don't know. I have no insider knowledge on this

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<v S1>one yet. Uh, Francis, high speed rail traffic got disrupted

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<v S1>due to what officials are calling malicious acts just before

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<v S1>the Olympic ceremony, thanks to nudge Security for sponsoring, Google

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<v S1>has decided not to phase out third party cookies in

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<v S1>Chrome and will instead offer users more control over how

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<v S1>the user's cookies are used. And I, for one, am

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<v S1>absolutely shocked that this company that makes most of its

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<v S1>money on advertising and is really bad at rolling out

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<v S1>products canceled a thing that's really one difficult to do

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<v S1>and two would negatively affect advertisers and therefore their main

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<v S1>source of income. An evaluation of Amazon GuardDuty reveals limited

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<v S1>coverage and high costs with significant latency in detecting attacks

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<v S1>like S3 ransomware. Amazon. When it does things like this,

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<v S1>it's a little bit similar to Cloudflare, where they just

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<v S1>kind of like do an initial version of the tool.

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<v S1>It kind of works a little bit, and then if

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<v S1>you adopt it, you just kind of hope it gets

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<v S1>better over time. And basically what a number of these

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<v S1>articles are basically saying is that, yeah, they don't necessarily

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<v S1>always catch up. It depends on the product team, it

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<v S1>depends on luck. And sometimes if you lump your eggs

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<v S1>in with that basket, like it just goes nowhere and

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<v S1>other times it becomes a full fledged product. So other

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<v S1>examples of this GuardDuty, the WAF product, there's a million

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<v S1>different ones. Google's reCAPTCHA is showing its age and is

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<v S1>harvesting user information with labor worth billions, while being almost

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<v S1>universally disliked and vulnerable to bots. The Senate unanimously passed

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<v S1>the Defiance Act, letting victims of non-consensual intimate images created

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<v S1>by AI sue their creators for damages and then get

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<v S1>up to 150 K to 250 K if linked to assault,

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<v S1>stalking or harassment. A US Commerce Department or the US

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<v S1>Commerce Department says shipments of high performance processors from China

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<v S1>and Hong Kong to Russia have dropped by 20%, but

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<v S1>Hong Kong is still the main hub. AI and tech

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<v S1>whiz turned down $23 billion in acquisition from alphabet and

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<v S1>is instead aiming for an IPO. I thought I did

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<v S1>a deeper comment on this. I think I do a

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<v S1>deeper comment on this later. Yeah. Oh, here it is. Yeah.

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<v S1>My thoughts are basically that they knew they could get

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<v S1>more money for this. That's number one. But two is

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<v S1>they basically knew that if they got bought they would

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<v S1>get that 23 billion, which is a decent amount. And

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<v S1>the problem is it would most likely end up in

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<v S1>the Google graveyard. So who knows what percentage of that was.

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<v S1>Maybe that description is online somewhere. AI is replacing jobs

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<v S1>in the video game industry with major companies like Activision

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<v S1>using generative AI tools for concept art, and they're saying, uh,

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<v S1>estimated 10,500 people lost their jobs in 2023. I don't

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<v S1>know if that's all from art. I imagine a lot

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<v S1>of it is from art. But, uh, yeah, I got

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<v S1>a bunch of buddies in this industry and they're saying, uh,

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<v S1>very similar things. Lots of different things in the creative

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<v S1>workflow are vulnerable, I would say. A new study shows

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<v S1>that while generative AI like ChatGPT makes individual stories more

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<v S1>creative and engaging, it also makes them more similar to

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<v S1>each other. And I've heard a lot of criticisms of

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<v S1>AI and like, oh, it's going to do this bad

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<v S1>thing or that bad thing, but this one sounds quite realistic.

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<v S1>So basically we need to engineer in mechanisms for exposure

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<v S1>to alternative frames of reality. Different models, different ways of

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<v S1>viewing reality to avoid people consolidating and following like one

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<v S1>AI powered groupthink. Or maybe it's like 20 AI powered groupthink,

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<v S1>but it's like controlling the narrative of how everyone's thinking

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<v S1>about certain things. Because something was generated by AI, it

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<v S1>went viral. Maybe it was pretty cool or whatever. So

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<v S1>it goes viral, and then that just becomes a thing

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<v S1>that everyone's thinking. I've actually been really worried about this

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<v S1>for myself. It's one of the main things I want

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<v S1>to use ADR for. And I've been talking with Joseph

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<v S1>Thacker about this as well. It's like, imagine that you

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<v S1>have in your brain at any given moment a number

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<v S1>of ideas, and I definitely have this. I have multiple

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<v S1>ideas brewing all the time. So what percentage of those

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<v S1>are like super new that I came up with myself?

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<v S1>What percentage of those are like mostly derivative? And how

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<v S1>many of those are just seeds planted by some random

0:12:48.309 --> 0:12:50.770
<v S1>add that I didn't even understand? And like this is

0:12:50.770 --> 0:12:54.040
<v S1>completely opaque to me. Yet I think that these 19

0:12:54.040 --> 0:12:57.390
<v S1>ideas are like mine. And so I'm going out and

0:12:57.390 --> 0:13:00.570
<v S1>sharing them with other people, and then the same phenomenon

0:13:00.570 --> 0:13:03.330
<v S1>happens to them. And then the question is how many

0:13:03.330 --> 0:13:06.240
<v S1>of those came from I? Then the question becomes how

0:13:06.240 --> 0:13:10.170
<v S1>many came from a government or some corporation where they

0:13:10.170 --> 0:13:13.560
<v S1>injected these things into the world with AI. And now

0:13:13.559 --> 0:13:16.890
<v S1>these memes are spreading all over, and pretty soon it's

0:13:16.890 --> 0:13:20.160
<v S1>in all the articles, it's in all the news, it's

0:13:20.160 --> 0:13:23.229
<v S1>in all the top podcasts. And essentially what you have

0:13:23.230 --> 0:13:27.939
<v S1>is like a soft version, lower case version of propaganda,

0:13:27.940 --> 0:13:31.990
<v S1>mind control and the steering of narratives. So I think

0:13:31.990 --> 0:13:34.780
<v S1>it's going to be super essential for people who care

0:13:34.780 --> 0:13:38.620
<v S1>about free thinking, want to be able to disconnect and

0:13:38.620 --> 0:13:43.630
<v S1>sort of read books slowly, think slowly, come up with,

0:13:43.630 --> 0:13:47.970
<v S1>you know, old style thinking, old style critical thinking. That's

0:13:47.970 --> 0:13:50.250
<v S1>going to be one thing. But the other thing is

0:13:50.250 --> 0:13:54.420
<v S1>I want my Da to monitor the ideas that I'm

0:13:54.420 --> 0:13:58.140
<v S1>talking about and that I'm writing about, monitor those things,

0:13:58.140 --> 0:14:03.390
<v S1>and then also say, hey, guess what? So I saw

0:14:03.390 --> 0:14:06.930
<v S1>this idea get released into the world by this whatever.

0:14:06.929 --> 0:14:10.610
<v S1>This shady group over here. That was three and a

0:14:10.610 --> 0:14:14.150
<v S1>half weeks ago. They then started broadcasting it on these

0:14:14.150 --> 0:14:18.500
<v S1>19 different networks. Those got picked up by these 347

0:14:18.500 --> 0:14:22.640
<v S1>other networks, and that became one of the top 14

0:14:22.640 --> 0:14:26.600
<v S1>top ideas over the last two weeks. And you are

0:14:26.600 --> 0:14:29.390
<v S1>now over here writing about it. So I just want

0:14:29.390 --> 0:14:33.010
<v S1>to let you know as my as your friend that

0:14:33.010 --> 0:14:35.920
<v S1>you are being influenced by this campaign that was launched

0:14:35.920 --> 0:14:38.680
<v S1>by this group three and a half weeks ago. That

0:14:38.680 --> 0:14:40.750
<v S1>is a service that we all need. That is a

0:14:40.750 --> 0:14:43.180
<v S1>service I'm going to build for myself, because that's going

0:14:43.180 --> 0:14:47.920
<v S1>to be part of this overall mechanization involving substrate pipelines,

0:14:47.920 --> 0:14:51.610
<v S1>a whole bunch of other stuff that's basically monitoring not

0:14:51.610 --> 0:14:54.010
<v S1>just the world, but also myself and seeing like how

0:14:54.010 --> 0:14:56.620
<v S1>I'm being influenced. That's like one of the use cases.

0:14:56.620 --> 0:14:59.610
<v S1>All right. Switzerland has passed a law requiring all public

0:14:59.610 --> 0:15:04.680
<v S1>sector agencies to use open source software and open source,

0:15:04.680 --> 0:15:08.130
<v S1>any code that they develop. I love this, but, uh,

0:15:08.130 --> 0:15:11.130
<v S1>open doesn't mean secure by itself. That's one thing. The

0:15:11.130 --> 0:15:13.170
<v S1>other thing is you got to find a way to

0:15:13.170 --> 0:15:15.810
<v S1>support the stuff, which you could just hire consultants or

0:15:15.810 --> 0:15:20.100
<v S1>companies or whatever, but or trained internally, but definitely have

0:15:20.100 --> 0:15:24.080
<v S1>to worry about support Govloop super cool platform for AI

0:15:24.080 --> 0:15:27.860
<v S1>workflows doesn't quite work as far as I could tell.

0:15:27.860 --> 0:15:30.650
<v S1>And if you're like a founder there or something, feel

0:15:30.650 --> 0:15:32.690
<v S1>free to reach out and let me know. And, uh,

0:15:32.690 --> 0:15:35.750
<v S1>happy to correct that. But that's just my current impression.

0:15:35.750 --> 0:15:39.650
<v S1>But I am extremely excited about it and I think

0:15:39.650 --> 0:15:42.290
<v S1>they're doing great stuff. The guy is amazing. Reminds me

0:15:42.290 --> 0:15:45.280
<v S1>of Yahoo pipes. Definitely want to check it out. Alphabet's

0:15:45.280 --> 0:15:48.640
<v S1>putting another 5 billion into Waymo. It's basically looking like

0:15:48.640 --> 0:15:52.270
<v S1>Waymo versus Tesla for self-driving taxis. But the approaches are

0:15:52.270 --> 0:15:56.230
<v S1>very different. Waymo basically needs to train for a very

0:15:56.230 --> 0:15:59.680
<v S1>long time in a city before it works, because they

0:15:59.680 --> 0:16:01.690
<v S1>kind of work out all the bugs just by driving

0:16:01.690 --> 0:16:04.600
<v S1>all the streets for a very long time. And, and

0:16:04.600 --> 0:16:06.880
<v S1>they sort of ramp that up. And Tesla is like

0:16:06.880 --> 0:16:09.160
<v S1>typical Elon. He's like, no, I'm just going to make

0:16:09.160 --> 0:16:10.530
<v S1>the thing. It's going to be awesome. It's going to

0:16:10.530 --> 0:16:14.340
<v S1>work perfectly. I'm announcing it soon. But you have to

0:16:14.340 --> 0:16:17.310
<v S1>realize that he's not always right, right. He said full

0:16:17.310 --> 0:16:19.500
<v S1>Self-Driving was going to be pretty easy and we would

0:16:19.500 --> 0:16:22.560
<v S1>have it years ago. And now it's 2024 and it's

0:16:22.560 --> 0:16:25.830
<v S1>just now getting good. So something to think about there.

0:16:25.830 --> 0:16:31.739
<v S1>Between the two different approaches, Joe Procopio argues that tech

0:16:31.740 --> 0:16:34.280
<v S1>companies are struggling to find good employees because they focus

0:16:34.280 --> 0:16:38.300
<v S1>too much on creds and not enough on skills. I

0:16:38.300 --> 0:16:41.750
<v S1>like it. I think this is exactly the shift that's happening.

0:16:41.750 --> 0:16:45.590
<v S1>He basically suggests that companies should prioritize practical experience and

0:16:45.590 --> 0:16:49.729
<v S1>problem solving abilities over degrees and certifications. That's exactly what's

0:16:49.730 --> 0:16:52.730
<v S1>going to happen with something like Astra, which is a

0:16:52.730 --> 0:16:55.280
<v S1>fake thing. But this this article that I wrote that

0:16:55.280 --> 0:16:59.250
<v S1>rates things in and gives scores, basically does a gauntlet

0:16:59.280 --> 0:17:02.220
<v S1>of tests and then gives you like these comprehensive, really

0:17:02.220 --> 0:17:05.580
<v S1>deep scores. That's essentially how that's going to be solved.

0:17:05.580 --> 0:17:07.860
<v S1>Apple just launched a beta version of Apple Maps for

0:17:07.859 --> 0:17:11.220
<v S1>the web. Humans. Did I talk about ChatGPT? I thought

0:17:11.220 --> 0:17:13.470
<v S1>I did I take that out? Where did that go?

0:17:13.470 --> 0:17:18.180
<v S1>Oh very strange. Yeah, there's a new ChatGPT a search

0:17:18.180 --> 0:17:24.530
<v S1>web ChatGPT that basically competes with Perplexity and Bing and

0:17:24.530 --> 0:17:30.109
<v S1>it's it's out, but it's waitlisted. Um, so, uh, I

0:17:30.109 --> 0:17:31.939
<v S1>don't know. I haven't checked to see if I have

0:17:31.940 --> 0:17:34.760
<v S1>access to that one yet, but, uh, looking forward to

0:17:34.760 --> 0:17:38.180
<v S1>that one. Humans. Wall Street Journal explores why the US

0:17:38.180 --> 0:17:43.520
<v S1>birth rate is declining, citing economic uncertainty, career priorities and

0:17:43.520 --> 0:17:47.620
<v S1>lifestyle choices. The idea that UBI reduces the need to

0:17:47.619 --> 0:17:50.920
<v S1>work isn't new, but recent studies show that it does

0:17:50.920 --> 0:17:54.010
<v S1>not lead to better jobs or more education. I think

0:17:54.010 --> 0:17:56.110
<v S1>the issue here is that certain people will spend free

0:17:56.109 --> 0:17:58.960
<v S1>time and money to better themselves, and certain people won't,

0:17:58.960 --> 0:18:01.750
<v S1>and it's not clear why that is. It's not clear

0:18:01.750 --> 0:18:05.889
<v S1>what the actual like factor is, but the way forward

0:18:05.890 --> 0:18:08.020
<v S1>is basically trying to figure out what that is and

0:18:08.020 --> 0:18:11.580
<v S1>not believing in fairy tales like giving away free money

0:18:11.580 --> 0:18:14.970
<v S1>will make everyone ambitious. It does not. And this reminds

0:18:14.970 --> 0:18:18.210
<v S1>me of a lesson that's very similar that I learned

0:18:18.210 --> 0:18:22.110
<v S1>like 20 years of hiring people, which is exposing people

0:18:22.109 --> 0:18:26.190
<v S1>to training and encouragement makes the best people stand out,

0:18:26.190 --> 0:18:29.100
<v S1>but it does not turn everyone into the best people.

0:18:29.100 --> 0:18:32.400
<v S1>And I've known this because I tried because I tried

0:18:32.400 --> 0:18:35.899
<v S1>for like ten years with cohort after cohort where I

0:18:35.900 --> 0:18:38.450
<v S1>would just be like, oh, well, my training wasn't good enough.

0:18:38.450 --> 0:18:41.119
<v S1>That's why they didn't get it, or they were distracted

0:18:41.119 --> 0:18:43.520
<v S1>or they were busy or whatever. So I just keep

0:18:43.520 --> 0:18:46.970
<v S1>hitting them and keep dumping hours and hours and hours

0:18:46.970 --> 0:18:49.580
<v S1>and more training and more training. Send them to more

0:18:49.580 --> 0:18:52.640
<v S1>classes and you come back to them and you're like, hey,

0:18:52.640 --> 0:18:55.070
<v S1>what have you done? They're like, I don't know. I

0:18:55.070 --> 0:18:58.810
<v S1>didn't do anything. What should I do? And you're like, uh, no, no.

0:18:58.900 --> 0:19:01.000
<v S1>So you've you've got to figure out what you want

0:19:01.000 --> 0:19:03.129
<v S1>to do. You've got to I've given you all the training,

0:19:03.130 --> 0:19:06.250
<v S1>I've given you all the stuff and all the books,

0:19:06.250 --> 0:19:08.199
<v S1>and I gave you all the demos. I told you

0:19:08.200 --> 0:19:10.479
<v S1>how to set up the demos. I showed you how

0:19:10.480 --> 0:19:13.510
<v S1>to set up the tech, and, um, have you done

0:19:13.510 --> 0:19:16.119
<v S1>any of that? And they're like, no, what should I

0:19:16.119 --> 0:19:18.670
<v S1>do first? I don't I don't know how to do

0:19:18.670 --> 0:19:21.280
<v S1>any of that. Can you show me? And you're like, well,

0:19:21.280 --> 0:19:23.430
<v S1>I showed you four times. You want me to show

0:19:23.430 --> 0:19:24.990
<v S1>you a fifth time? Okay, sure. I'll show you a

0:19:24.990 --> 0:19:27.359
<v S1>fifth time. Show them a fifth time. Come back two

0:19:27.359 --> 0:19:31.020
<v S1>weeks later. Hey, how is it going? Going with what?

0:19:31.020 --> 0:19:33.810
<v S1>With the stuff we talked about last time. And they're like, yeah,

0:19:33.810 --> 0:19:35.790
<v S1>it never got around to that. Like, I couldn't find

0:19:35.940 --> 0:19:38.460
<v S1>this one driver. Like, there was a driver down low,

0:19:38.460 --> 0:19:42.030
<v S1>but the driver download didn't work. It's like, okay, well

0:19:42.030 --> 0:19:44.250
<v S1>did you research that? No. How would I do that?

0:19:44.250 --> 0:19:47.869
<v S1>Can you help me that That ends up being like

0:19:47.869 --> 0:19:52.160
<v S1>50 to 80% of everyone. Here's the alternative. Here's the

0:19:52.310 --> 0:19:57.950
<v S1>alternate version of a star. Okay? You're like, hey, um, hey, everyone.

0:19:57.950 --> 0:20:01.430
<v S1>So check this out. This is a class about. And

0:20:01.430 --> 0:20:03.590
<v S1>you see a hand go up. Hey, look, I read

0:20:03.590 --> 0:20:07.010
<v S1>the whole document. Um, I looked forward in the class.

0:20:07.010 --> 0:20:09.710
<v S1>I've got this thing running, but there's an error. Um,

0:20:09.880 --> 0:20:12.910
<v S1>so I fixed it and I stood up a different version,

0:20:12.910 --> 0:20:15.520
<v S1>and it's running. Can I show you? And you're like, okay,

0:20:15.520 --> 0:20:18.850
<v S1>so you basically read everything, jumped ahead in the class,

0:20:18.850 --> 0:20:21.609
<v S1>built something. It didn't work, but you fixed it, and

0:20:21.609 --> 0:20:23.710
<v S1>now you're running a different version and you want to

0:20:23.710 --> 0:20:25.420
<v S1>show it to me now. But I just started my

0:20:25.420 --> 0:20:28.600
<v S1>first sentence of the class and they're like, oh yeah, sorry. Yeah.

0:20:28.600 --> 0:20:32.439
<v S1>Please continue. Sorry. I was just excited. The difference between

0:20:32.440 --> 0:20:36.900
<v S1>these two things are so insane. Okay? And what I've

0:20:36.900 --> 0:20:39.480
<v S1>learned after all these years is that if you're trying

0:20:39.480 --> 0:20:43.080
<v S1>to build a star team and you're trying to build

0:20:43.080 --> 0:20:46.380
<v S1>like a group of the best people, what you want

0:20:46.380 --> 0:20:50.430
<v S1>to do is throw help and throw training and throw

0:20:50.430 --> 0:20:55.410
<v S1>encouragement to a massive group of people and not judge,

0:20:55.410 --> 0:20:59.680
<v S1>not prejudge, not do anything you have no idea. You

0:20:59.680 --> 0:21:02.710
<v S1>have no idea. It's it's not people who wear yellow shirts.

0:21:02.710 --> 0:21:06.729
<v S1>It's not people from Idaho. It's not people from Mississippi.

0:21:06.760 --> 0:21:10.690
<v S1>You have no idea what the criteria are like. Background,

0:21:10.690 --> 0:21:15.159
<v S1>ethnic group, you education, background. Are they educated? Do they

0:21:15.160 --> 0:21:18.399
<v S1>have a PhD? Do they have two master's degrees? Are

0:21:18.400 --> 0:21:21.490
<v S1>they still in high school? You don't know. And that's

0:21:21.490 --> 0:21:24.300
<v S1>the smartest thing you could possibly realize is that you

0:21:24.300 --> 0:21:27.390
<v S1>have no idea. You have no idea who's going to

0:21:27.390 --> 0:21:32.250
<v S1>just be kind of like, complete, completely inert, and just

0:21:32.250 --> 0:21:36.120
<v S1>unable to learn and unwilling to learn and unable to

0:21:36.119 --> 0:21:40.350
<v S1>absorb any amount of effort that you give, versus some

0:21:40.350 --> 0:21:44.850
<v S1>random person who doesn't think much of themselves and are

0:21:44.850 --> 0:21:51.320
<v S1>unassuming and quiet, and they just absolute sponge. Absolute murder.

0:21:51.320 --> 0:21:55.760
<v S1>Like the the craziest, best IT person you've ever found.

0:21:55.760 --> 0:21:58.310
<v S1>And suddenly they just can't shut up about everything. I

0:21:58.310 --> 0:22:01.610
<v S1>was like, oh, and I did this and I read everything, um,

0:22:01.609 --> 0:22:04.310
<v S1>all those books that you recommended. And then I went

0:22:04.310 --> 0:22:06.800
<v S1>and downloaded this and I oh, but I changed it,

0:22:06.800 --> 0:22:08.840
<v S1>and I want to show you this thing, and you're

0:22:08.840 --> 0:22:12.010
<v S1>just like, Holy crap. They were sitting right next to

0:22:12.010 --> 0:22:14.320
<v S1>the other person who I gave the same exact training.

0:22:14.320 --> 0:22:18.730
<v S1>This is a lesson, incredibly powerful lesson. And to bring

0:22:18.730 --> 0:22:21.910
<v S1>it back to this article, I believe the same thing

0:22:21.910 --> 0:22:24.909
<v S1>is true with UBI. The same thing is true with

0:22:24.910 --> 0:22:28.960
<v S1>social programs. The same thing is true with all these

0:22:28.960 --> 0:22:32.950
<v S1>different things. So the whole trick and we're going to

0:22:32.950 --> 0:22:35.550
<v S1>get a little broad here. The whole trick is to

0:22:35.550 --> 0:22:39.750
<v S1>make sure that no one's at a disadvantage, okay? Because trauma,

0:22:39.750 --> 0:22:45.869
<v S1>because they're hungry, because they can't afford coverage. Right. Because

0:22:45.869 --> 0:22:49.980
<v S1>there are stars all throughout this entire population, this these

0:22:49.980 --> 0:22:53.430
<v S1>8 billion people that we have. There are stars who

0:22:53.460 --> 0:22:55.740
<v S1>you will never know if they're a star because they

0:22:55.740 --> 0:22:59.130
<v S1>can't make it to your class because they're working seven

0:22:59.130 --> 0:23:03.330
<v S1>jobs and they got an ant and a dog and

0:23:03.330 --> 0:23:07.050
<v S1>a and a parent and a girlfriend or a boyfriend

0:23:07.050 --> 0:23:11.040
<v S1>who is sick. And so they're over here juggling and

0:23:11.040 --> 0:23:15.060
<v S1>they're another Einstein, they're another von Neumann. And you will

0:23:15.060 --> 0:23:18.750
<v S1>never know because they got screwed. They got screwed by luck.

0:23:18.750 --> 0:23:21.719
<v S1>So the goal and now we're going really broad. The

0:23:21.720 --> 0:23:24.520
<v S1>goal is to build a society in which nobody has

0:23:24.520 --> 0:23:27.400
<v S1>screwed in that way. And when they do get messed

0:23:27.400 --> 0:23:30.550
<v S1>over in that way, we help them. We help them

0:23:30.550 --> 0:23:34.390
<v S1>get back into this, remove the obstacles so that everyone

0:23:34.390 --> 0:23:37.119
<v S1>has the opportunity to be one of these stars to

0:23:37.119 --> 0:23:41.170
<v S1>stand out. But we should not think that everyone who

0:23:41.170 --> 0:23:46.330
<v S1>gets exposed to the opportunities is necessarily going to be

0:23:46.330 --> 0:23:49.710
<v S1>one of those stand out people. So if we see variation,

0:23:49.710 --> 0:23:52.020
<v S1>which is probably going to look a lot like a

0:23:52.020 --> 0:23:54.600
<v S1>bell curve, right, you're going to have most people in

0:23:54.600 --> 0:23:57.900
<v S1>the middle, um, when you see that variation, you should

0:23:57.900 --> 0:24:00.900
<v S1>be like, yep, that's exactly what we expect to see.

0:24:00.900 --> 0:24:03.210
<v S1>Most people in the middle, some people who don't want

0:24:03.210 --> 0:24:06.060
<v S1>to do anything despite any training, and some people who

0:24:06.060 --> 0:24:09.570
<v S1>could just hear the first word and write a book. Right.

0:24:09.570 --> 0:24:14.090
<v S1>That's just expected. Now, I would say that there's some

0:24:14.090 --> 0:24:16.520
<v S1>nuance here in the sense that, like, okay, if we

0:24:16.520 --> 0:24:21.320
<v S1>can identify that grit and self-discipline and I don't know,

0:24:21.320 --> 0:24:24.530
<v S1>something that we could try to put into culture, something

0:24:24.530 --> 0:24:27.679
<v S1>we could try to put into education systems, something that

0:24:27.680 --> 0:24:30.350
<v S1>we could try to put into training, something we could

0:24:30.350 --> 0:24:34.189
<v S1>try to put into parental education if we could find

0:24:34.190 --> 0:24:37.050
<v S1>those tokens and just like, make sure they're part of

0:24:37.050 --> 0:24:41.700
<v S1>the training and that helps lift everyone or some number

0:24:41.700 --> 0:24:44.670
<v S1>of people, that'll be fantastic. But it has to start

0:24:44.670 --> 0:24:48.869
<v S1>with realizing there's going to be a distribution and that's

0:24:48.869 --> 0:24:53.040
<v S1>going to be based on meritocracy, which is good. However,

0:24:53.040 --> 0:24:57.570
<v S1>the whole purpose of society and liberal society or liberal

0:24:57.780 --> 0:25:02.120
<v S1>liberal approach to building a society is making sure that

0:25:02.119 --> 0:25:08.600
<v S1>everyone can enter into the meritocracy funnel without disadvantage. That's

0:25:08.600 --> 0:25:10.970
<v S1>that's the goal. That's the trick. And I'm going to

0:25:10.970 --> 0:25:15.379
<v S1>actually try to instantiate this using substrate, by the way.

0:25:15.380 --> 0:25:17.959
<v S1>All right. That was a oh goodness. That was a

0:25:17.960 --> 0:25:21.830
<v S1>massive diversion. Uh, southwest is ditching its open seating policy

0:25:21.830 --> 0:25:26.560
<v S1>after 50 years to boost profits and meet customer preferences. 80%

0:25:26.560 --> 0:25:30.100
<v S1>of their flyers preferred assigned seats 80% is a lot.

0:25:30.130 --> 0:25:35.530
<v S1>The Senate's version of 2025, NDAA, does not include the

0:25:35.530 --> 0:25:39.160
<v S1>countering CCP Drones Act. Happy and sad about this I

0:25:39.160 --> 0:25:43.840
<v S1>love DJI drones, DJI drones, but I feel like we

0:25:43.840 --> 0:25:48.149
<v S1>need to go without them because they're so good that

0:25:48.420 --> 0:25:52.800
<v S1>there aren't many alternatives. And, uh, Chinese companies have the

0:25:52.800 --> 0:25:55.500
<v S1>ability to be just taken over by the CCP at

0:25:55.500 --> 0:25:59.280
<v S1>any given moment, if it's advantageous to them. So I

0:25:59.280 --> 0:26:02.369
<v S1>don't like that. Same reason I don't like, uh, TikTok.

0:26:02.369 --> 0:26:07.800
<v S1>As you might expect from an ex-military security person, nearly 40%

0:26:07.800 --> 0:26:11.940
<v S1>of Americans are stressed out about making ends meet, 40%,

0:26:11.940 --> 0:26:15.650
<v S1>up from 28% in 2021. And this is a very

0:26:15.650 --> 0:26:19.550
<v S1>similar number to during the Great Recession, which I believe

0:26:19.550 --> 0:26:25.040
<v S1>they're talking about 2028, I'm sorry, 2008. US economic growth

0:26:25.040 --> 0:26:31.280
<v S1>hits 2.8% weight loss. Drugs like Ozempic, mounjaro and Wegovy

0:26:31.280 --> 0:26:34.520
<v S1>are causing people to spend less on groceries. I heard

0:26:34.520 --> 0:26:38.530
<v S1>it's also making planes lighter and use less fuel. So

0:26:38.530 --> 0:26:42.790
<v S1>Wegovy is a climate change product. They should try to

0:26:42.790 --> 0:26:48.070
<v S1>get some funding for that. Subsidies or something. A new antibiotic.

0:26:48.430 --> 0:26:54.400
<v S1>Oh my goodness. A new antibiotic from the University of Illinois,

0:26:54.400 --> 0:26:58.990
<v S1>Chicago disrupts two different cellular targets, making it 100 million

0:26:58.990 --> 0:27:03.239
<v S1>times harder for bacteria to evolve resistance. One dose of

0:27:03.240 --> 0:27:07.230
<v S1>a new nasal spray treatment clears toxic tau proteins from

0:27:07.230 --> 0:27:10.320
<v S1>brain cells. And one thing to remember about these I'm

0:27:10.320 --> 0:27:13.680
<v S1>going to keep sharing these studies like I am. That's

0:27:13.680 --> 0:27:15.390
<v S1>the thing I'm going to do. I'm going to have

0:27:15.390 --> 0:27:19.889
<v S1>more and more scrutiny because part of the pipelines, uh,

0:27:19.890 --> 0:27:22.379
<v S1>workflow and substrate and all of that, I'm going to

0:27:22.380 --> 0:27:25.610
<v S1>have these things being tested and going through pipelines. It's

0:27:25.609 --> 0:27:29.330
<v S1>going to be awesome. But you still have to realize

0:27:29.330 --> 0:27:32.000
<v S1>the bigger the finding, the more you should wait for

0:27:32.000 --> 0:27:35.390
<v S1>supporting studies. And in my mind, the stuff is not

0:27:35.390 --> 0:27:39.770
<v S1>actually truly real until the drug is available to normal people,

0:27:39.770 --> 0:27:42.770
<v S1>which means it's already been rigorously tested. And of course

0:27:42.770 --> 0:27:45.979
<v S1>it will be constantly tested afterwards as well in in

0:27:45.980 --> 0:27:49.360
<v S1>the larger population. So that to me is like the

0:27:49.359 --> 0:27:52.600
<v S1>real stuff. But I still like watching this. I always

0:27:52.600 --> 0:27:58.450
<v S1>thought that this tau protein stuff was ripe for some

0:27:58.450 --> 0:28:03.219
<v S1>sort of chemical solution, some sort of, you know, uh,

0:28:03.220 --> 0:28:07.600
<v S1>medicinal solution. Uh, of course, that was just intuition. I

0:28:07.600 --> 0:28:10.780
<v S1>have no expertise there, but it just seems like something

0:28:10.780 --> 0:28:13.820
<v S1>that people can grab on to once they realize the mechanism.

0:28:13.820 --> 0:28:17.390
<v S1>Liberals and conservatives are both prone to conspiracy theories, they

0:28:17.390 --> 0:28:21.020
<v S1>just prefer different ones. Hendrik Carlson talks about how generating

0:28:21.020 --> 0:28:23.810
<v S1>interesting ideas is like building a muscle. He says the

0:28:23.810 --> 0:28:26.240
<v S1>more you write and think deeply, the better you get

0:28:26.240 --> 0:28:31.340
<v S1>at coming up with new and meaningful thoughts. 100% agree ideas.

0:28:31.340 --> 0:28:34.520
<v S1>Zuckerberg is arguing that China is going to steal weights anyway,

0:28:34.520 --> 0:28:36.500
<v S1>so there's no way to stop that, so you might

0:28:36.500 --> 0:28:41.440
<v S1>as well develop advanced AI as open source. Okay. Not really. Okay.

0:28:41.440 --> 0:28:43.570
<v S1>But I think I wrote about that somewhere, so I'm

0:28:43.570 --> 0:28:46.510
<v S1>not going to go into that. Search GPT oh that's

0:28:46.510 --> 0:28:49.390
<v S1>where I put it yeah. Search GPT in discovery here

0:28:49.390 --> 0:28:53.650
<v S1>I use obsidian Jason Pepper Hepler talks about how he

0:28:53.650 --> 0:28:57.610
<v S1>uses obsidian for notes. In the beginning was the Command Line,

0:28:57.610 --> 0:29:03.720
<v S1>Neal Stephenson's classic essay on operating systems, my obsidian notetaking workflow.

0:29:03.720 --> 0:29:05.940
<v S1>It's on my mind. So that's why I got multiple

0:29:05.940 --> 0:29:09.180
<v S1>things in here on it bash one liners, data chain,

0:29:09.180 --> 0:29:13.410
<v S1>unstructured data management for AI projects. Llama agent stack. This

0:29:13.410 --> 0:29:16.830
<v S1>one's cool. I JSON has a cool, um, video on this.

0:29:16.830 --> 0:29:20.070
<v S1>You should check out on YouTube. Open world exploration in

0:29:20.070 --> 0:29:26.150
<v S1>Minecraft Claude engineer la Cara low latency AI application firewall

0:29:26.150 --> 0:29:31.010
<v S1>GPT four Captcha Bypass Flow Analyzer a tool for understanding

0:29:31.010 --> 0:29:36.860
<v S1>OAuth two grant flows with support for Oidc and Jwts Jots.

0:29:37.190 --> 0:29:39.140
<v S1>I don't know how you're supposed to pronounce that JWT.

0:29:40.460 --> 0:29:44.300
<v S1>I bet you about 5050 people do that jot versus

0:29:44.300 --> 0:29:48.410
<v S1>JWT bash, simple curses, simple bash library to create terminal

0:29:48.410 --> 0:29:52.180
<v S1>interfaces and the recommendation of the week. I'm going to

0:29:52.180 --> 0:29:55.060
<v S1>try to do something for the next several months. Kind

0:29:55.060 --> 0:29:57.430
<v S1>of do this already, but I'm going to try to

0:29:57.430 --> 0:30:01.750
<v S1>do it even more going into this election. When someone

0:30:01.750 --> 0:30:04.990
<v S1>labels me as super liberal, I'm going to say something

0:30:04.990 --> 0:30:09.670
<v S1>nice about their conservative views. I'm going to humanize them.

0:30:09.670 --> 0:30:13.800
<v S1>When somebody labels me as super conservative, I'm going to

0:30:13.800 --> 0:30:17.220
<v S1>say something nice about their liberal views. I'm going to

0:30:17.220 --> 0:30:19.980
<v S1>humanize them. Try this and see if it opens up

0:30:19.980 --> 0:30:22.200
<v S1>the conversation at all. I learned how to do this

0:30:22.200 --> 0:30:25.650
<v S1>from Jonathan Hite's book, The Righteous Mind, by the way,

0:30:25.650 --> 0:30:28.980
<v S1>and this was probably 6 or 7 years ago now.

0:30:29.010 --> 0:30:34.200
<v S1>This book brought me to the center politically. It brought

0:30:34.200 --> 0:30:37.610
<v S1>me to the center, specifically what it did because I

0:30:37.610 --> 0:30:42.800
<v S1>was already pretty far left. I've always been left, um,

0:30:42.800 --> 0:30:47.600
<v S1>always voted Democrat. I've only been a Democrat, I guess, uh,

0:30:47.600 --> 0:30:51.140
<v S1>technically and legally my whole life. Uh, although I wouldn't

0:30:51.140 --> 0:30:53.630
<v S1>say I'm a Democrat, I would say I've always been

0:30:53.630 --> 0:30:58.910
<v S1>liberal my whole life, but technically, yes. Democrat. Um, this book. Well,

0:30:58.910 --> 0:31:01.250
<v S1>let me just continue on that. Born and raised in

0:31:01.250 --> 0:31:04.000
<v S1>the San Francisco Bay area, which grew up with super

0:31:04.000 --> 0:31:08.410
<v S1>liberal hippie parents, and I, as a result, have always

0:31:08.410 --> 0:31:14.140
<v S1>seen conservatives, or I was trained to see conservatives as, uh,

0:31:14.140 --> 0:31:18.220
<v S1>holding progress back in, in a negative way. So not

0:31:18.220 --> 0:31:21.610
<v S1>just conservative, but conservative in a bad way. In other words,

0:31:21.610 --> 0:31:26.040
<v S1>conservative was bad and basically just viewed them poorly. What

0:31:26.040 --> 0:31:29.130
<v S1>this book did was show me this is the, I

0:31:29.130 --> 0:31:31.770
<v S1>think the main premise from the book, which I'm I'm

0:31:31.770 --> 0:31:34.950
<v S1>happy for him that I remember this so clearly. I

0:31:34.950 --> 0:31:39.570
<v S1>think the main premise is that both sides value things

0:31:39.570 --> 0:31:44.160
<v S1>very closely, very dearly, um, in a sacred way. But

0:31:44.160 --> 0:31:47.310
<v S1>they are different things. So it's not that one is

0:31:47.310 --> 0:31:49.850
<v S1>going for good things and one is going for bad things.

0:31:49.850 --> 0:31:52.310
<v S1>It's that both are going for good things, but they're

0:31:52.310 --> 0:31:54.739
<v S1>different good things. So the whole trick to being in

0:31:54.740 --> 0:31:58.430
<v S1>the centre and the whole trick to moving progress forward

0:31:58.430 --> 0:32:02.750
<v S1>is realizing that people are just different. Okay? And there

0:32:02.750 --> 0:32:05.300
<v S1>there are extremes to this that make it not true.

0:32:05.300 --> 0:32:08.870
<v S1>But in general, you should look for this common ground

0:32:08.870 --> 0:32:12.980
<v S1>and realize that there being a good person, um, in

0:32:12.980 --> 0:32:15.870
<v S1>their way and you're being a good person in your way,

0:32:15.870 --> 0:32:19.560
<v S1>and you're going to try to find, uh, Harmony there. Now,

0:32:19.560 --> 0:32:23.010
<v S1>in the case of extreme sides of left and right,

0:32:23.010 --> 0:32:26.130
<v S1>you can argue that, yeah, their good is actually bad

0:32:26.130 --> 0:32:27.990
<v S1>for the whole world. So like, you don't want to

0:32:27.990 --> 0:32:32.880
<v S1>support that. So understand there are situations like that. But

0:32:32.880 --> 0:32:36.090
<v S1>in general we would all be better off by reading

0:32:36.090 --> 0:32:40.400
<v S1>this book and realizing this, this nuance, which might help

0:32:40.400 --> 0:32:43.790
<v S1>bring you towards the center and produce better conversation. And

0:32:43.790 --> 0:32:47.300
<v S1>the aphorism of the week, the highest form of knowledge

0:32:47.300 --> 0:32:52.160
<v S1>is empathy. The highest form of knowledge is empathy. Bill Bullard.

0:32:53.510 --> 0:32:56.720
<v S1>Unsupervised learning is produced and edited by Daniel Miessler on

0:32:56.720 --> 0:33:01.340
<v S1>a Neumann U87 AI microphone using Hindenburg. Intro and outro

0:33:01.340 --> 0:33:04.660
<v S1>music is by Zomby with the Y, and to get

0:33:04.660 --> 0:33:06.729
<v S1>the text and links from this episode, sign up for

0:33:06.730 --> 0:33:12.370
<v S1>the newsletter version of the show at Daniel miessler.com/newsletter. We'll

0:33:12.370 --> 0:33:13.180
<v S1>see you next time.