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S1: you go to Vanta comm slash unsupervised. That's vanta.com/supervised for
S1: $1,000 off. Welcome to Unsupervised Learning, a security, AI, and
S1: meaning focused podcast that looks at how best to thrive
S1: as humans in a post AI world. It combines original ideas, analysis,
S1: and mental models to bring not just the news, but
S1: why it matters and how to respond. All right, welcome
S1: to unsupervised learning. This is Daniel Miessler. All right. So
S1: here's what's up this week gearing up for Las Vegas.
S1: Going to be there for 11 days. Assuming I don't
S1: get sick after like four of those. And if you
S1: see me, please, uh, please know that I'm a bit, uh,
S1: shy and awkward. A bit, uh, like 20 to 60%
S1: of the time. I mean, sometimes it's just not there
S1: at all, and sometimes it's pretty bad. So just, uh,
S1: say hi. Anyway, I love, uh, seeing people, and, uh,
S1: it's a good training for me. Need to get better
S1: at this. Anyway, watch a number of videos last night,
S1: I believe, about people losing their jobs and starting, like,
S1: a YouTube channel and, like, just trying to branch out
S1: and maybe start a new career. And it was extremely sad.
S1: And I watched like two of these. And of course
S1: the feed showed me like ten more. And I ended
S1: up just watching these videos for like an hour and
S1: a half, two hours. And it was extremely sad. I
S1: feel like people are seeing the ground shift underneath their
S1: feet and they're like, why does nobody want me, right?
S1: This one particular one was really sad because he was like,
S1: I thought I was a good product manager. And then
S1: after ten and a half months of interviewing and getting
S1: all the way through interviews and getting to the very end,
S1: and then not being given an offer or being given
S1: an offer and then being ghosted after ten and a
S1: half months, I no longer believe in myself. I no
S1: longer believe I'm a good product manager, and it was
S1: just devastating to hear this. And he was being so
S1: like just open and honest and vulnerable. And it was
S1: just it was hard to watch and just felt very human.
S1: And this is essentially why I'm doing what I'm doing
S1: now is to basically try to help people who are
S1: in that situation and try to hopefully explain what I
S1: see coming in terms of like, you shouldn't judge yourself
S1: based on what these companies think about your skills and
S1: what they think about your worth. Um, they do not
S1: determine your worth. And this is why we need something
S1: like human 3.0 is because human 3.0 is how to
S1: measure yourself. Okay, you in your entirety. Full spectrum is
S1: how you should be thinking about yourself, not in terms
S1: of do you have these particular product management skills that
S1: this particular type of startup needs or this particular type
S1: of company needs? That is a very old world way
S1: of thinking about things. And I don't fault anyone for
S1: thinking that way because you're trying to get a job,
S1: you're trying to pay bills, right? So I understand that.
S1: I'm just saying that society as a whole is stuck
S1: in the past in seeing the world in this way,
S1: and we need to move beyond it, especially because AI
S1: is going to accelerate this whole process where they're going
S1: to see more and more people as expendable in this way,
S1: the same way that this guy was fired in ten
S1: and a half months later, he still can't get a job.
S1: That's going to keep happening to more and more people,
S1: and we need a solution. So I would say be
S1: kind to people. Everyone is hurting in some kind of way,
S1: and especially right now. And when you look at our politics,
S1: I see a lot of the current situation as a
S1: symptom of people being hurt and people being afraid. And
S1: I think that makes people more mean and less empathic
S1: than they otherwise would be. And I got this great
S1: quote here. Kindness is a language which the deaf can
S1: hear and the blind can see by Mark Twain. All right.
S1: So I got my best argument for why I will
S1: have an extraordinary effect on economy and jobs. And if
S1: you have any friends who are still skeptical about AI,
S1: I recommend sending them this. It's called, uh. If we've
S1: been thinking about AI all wrong, created a video for substrate. It's, uh,
S1: one of my best performing videos, actually. Uh, and if
S1: you prefer videos to long articles and you still want
S1: to learn about substrates, recommend checking that out. Security Knowbe4
S1: accidentally hired a North Korean state actor who tried to
S1: install info stealing malware on their device. The craziest thing
S1: about this whole North Korea stuff and how they're like
S1: breaking into these companies, they're not really breaking in. They're
S1: applying they're applying to these companies and getting hired. And
S1: it really reminds me of this Key and Peele skit
S1: where the guy's like, yeah, so what we're going to
S1: do is we're going to sneak in. I think I
S1: told this joke before, but he's like, what we're going
S1: to do is we're going to sneak in, we're going
S1: to get hired. And then when they give us work,
S1: we're going to do the work, and then they're going
S1: to deposit money in our bank accounts every two weeks.
S1: And his buddy looks at him and he goes, dude,
S1: you're talking about a fucking job. That's what a job is.
S1: And that was the end of the skit. And that's
S1: literally what these guys are doing. They are applying to jobs,
S1: getting hired and doing the work. The trick is they
S1: just take their regular salaries, and I'm not sure what
S1: percentage is actually doing the work versus doing the work
S1: poorly versus doing the work, plus trying to hack them additionally.
S1: Not sure about that exactly. I'm not sure anyone is,
S1: but here's what I do know. Uh, they're taking the
S1: money from the salaries and putting it back into the
S1: government to use for like the missile program or whatever
S1: other shenanigans North Korea is doing. So they're they're literally
S1: deploying it people into the world, into advanced economies to
S1: get actual jobs, to earn salaries, to put into the
S1: missile program. That is trippy to me. That is completely insane.
S1: All right. Next one GitHub's repository design flaw allows indefinite
S1: access to data from deleted and private repositories. This is
S1: a piece from Truffle Security. A plane's GPS was jammed
S1: on a commercial transatlantic route for the first time, raising
S1: fears that thousands of other flights could be at risk
S1: of deliberate hacking. This was between Madrid and Toronto, thanks
S1: to teens for subscribing or not subscribing for sponsoring, and
S1: there's been a 400% increase in GPS spoofing incidents, so
S1: this one is related to the previous one affecting around
S1: 900 flights daily. And this is from ops Dot Group.
S1: And um, yeah, spike is causing major safety concerns, especially
S1: with systems like e.g. AWS becoming unreliable and there are
S1: a number of people looking at like, why is this happening?
S1: What are the implications? Yeah, I'm wondering what the other
S1: options are for Nav if there's like secondary or tertiary
S1: systems that we can use when a jam happens or
S1: blocks against the jamming, like a couple of different options.
S1: The other thing is if there's six miles up or
S1: whatever and the jamming is happening, is that coming from
S1: inside the house? Like, is that someone with a jammer
S1: on the plane? Is that someone on the ground? I mean,
S1: these are kind of the only options. Someone on the
S1: ground is shooting it up at the plane, which seems
S1: pretty hard. Another plane coming along with it and shooting it.
S1: That seems very hard and also very expensive. Or they're
S1: in orbit, uh, and they would be moving very fast
S1: if they were in orbit. So and they're shooting down
S1: I mean, I'm trying to list all the options other
S1: than aliens. And, uh, it seems like someone on the
S1: plane is more likely so out of those. But, uh,
S1: I don't know. I have no insider knowledge on this
S1: one yet. Uh, Francis, high speed rail traffic got disrupted
S1: due to what officials are calling malicious acts just before
S1: the Olympic ceremony, thanks to nudge Security for sponsoring, Google
S1: has decided not to phase out third party cookies in
S1: Chrome and will instead offer users more control over how
S1: the user's cookies are used. And I, for one, am
S1: absolutely shocked that this company that makes most of its
S1: money on advertising and is really bad at rolling out
S1: products canceled a thing that's really one difficult to do
S1: and two would negatively affect advertisers and therefore their main
S1: source of income. An evaluation of Amazon GuardDuty reveals limited
S1: coverage and high costs with significant latency in detecting attacks
S1: like S3 ransomware. Amazon. When it does things like this,
S1: it's a little bit similar to Cloudflare, where they just
S1: kind of like do an initial version of the tool.
S1: It kind of works a little bit, and then if
S1: you adopt it, you just kind of hope it gets
S1: better over time. And basically what a number of these
S1: articles are basically saying is that, yeah, they don't necessarily
S1: always catch up. It depends on the product team, it
S1: depends on luck. And sometimes if you lump your eggs
S1: in with that basket, like it just goes nowhere and
S1: other times it becomes a full fledged product. So other
S1: examples of this GuardDuty, the WAF product, there's a million
S1: different ones. Google's reCAPTCHA is showing its age and is
S1: harvesting user information with labor worth billions, while being almost
S1: universally disliked and vulnerable to bots. The Senate unanimously passed
S1: the Defiance Act, letting victims of non-consensual intimate images created
S1: by AI sue their creators for damages and then get
S1: up to 150 K to 250 K if linked to assault,
S1: stalking or harassment. A US Commerce Department or the US
S1: Commerce Department says shipments of high performance processors from China
S1: and Hong Kong to Russia have dropped by 20%, but
S1: Hong Kong is still the main hub. AI and tech
S1: whiz turned down $23 billion in acquisition from alphabet and
S1: is instead aiming for an IPO. I thought I did
S1: a deeper comment on this. I think I do a
S1: deeper comment on this later. Yeah. Oh, here it is. Yeah.
S1: My thoughts are basically that they knew they could get
S1: more money for this. That's number one. But two is
S1: they basically knew that if they got bought they would
S1: get that 23 billion, which is a decent amount. And
S1: the problem is it would most likely end up in
S1: the Google graveyard. So who knows what percentage of that was.
S1: Maybe that description is online somewhere. AI is replacing jobs
S1: in the video game industry with major companies like Activision
S1: using generative AI tools for concept art, and they're saying, uh,
S1: estimated 10,500 people lost their jobs in 2023. I don't
S1: know if that's all from art. I imagine a lot
S1: of it is from art. But, uh, yeah, I got
S1: a bunch of buddies in this industry and they're saying, uh,
S1: very similar things. Lots of different things in the creative
S1: workflow are vulnerable, I would say. A new study shows
S1: that while generative AI like ChatGPT makes individual stories more
S1: creative and engaging, it also makes them more similar to
S1: each other. And I've heard a lot of criticisms of
S1: AI and like, oh, it's going to do this bad
S1: thing or that bad thing, but this one sounds quite realistic.
S1: So basically we need to engineer in mechanisms for exposure
S1: to alternative frames of reality. Different models, different ways of
S1: viewing reality to avoid people consolidating and following like one
S1: AI powered groupthink. Or maybe it's like 20 AI powered groupthink,
S1: but it's like controlling the narrative of how everyone's thinking
S1: about certain things. Because something was generated by AI, it
S1: went viral. Maybe it was pretty cool or whatever. So
S1: it goes viral, and then that just becomes a thing
S1: that everyone's thinking. I've actually been really worried about this
S1: for myself. It's one of the main things I want
S1: to use ADR for. And I've been talking with Joseph
S1: Thacker about this as well. It's like, imagine that you
S1: have in your brain at any given moment a number
S1: of ideas, and I definitely have this. I have multiple
S1: ideas brewing all the time. So what percentage of those
S1: are like super new that I came up with myself?
S1: What percentage of those are like mostly derivative? And how
S1: many of those are just seeds planted by some random
S1: add that I didn't even understand? And like this is
S1: completely opaque to me. Yet I think that these 19
S1: ideas are like mine. And so I'm going out and
S1: sharing them with other people, and then the same phenomenon
S1: happens to them. And then the question is how many
S1: of those came from I? Then the question becomes how
S1: many came from a government or some corporation where they
S1: injected these things into the world with AI. And now
S1: these memes are spreading all over, and pretty soon it's
S1: in all the articles, it's in all the news, it's
S1: in all the top podcasts. And essentially what you have
S1: is like a soft version, lower case version of propaganda,
S1: mind control and the steering of narratives. So I think
S1: it's going to be super essential for people who care
S1: about free thinking, want to be able to disconnect and
S1: sort of read books slowly, think slowly, come up with,
S1: you know, old style thinking, old style critical thinking. That's
S1: going to be one thing. But the other thing is
S1: I want my Da to monitor the ideas that I'm
S1: talking about and that I'm writing about, monitor those things,
S1: and then also say, hey, guess what? So I saw
S1: this idea get released into the world by this whatever.
S1: This shady group over here. That was three and a
S1: half weeks ago. They then started broadcasting it on these
S1: 19 different networks. Those got picked up by these 347
S1: other networks, and that became one of the top 14
S1: top ideas over the last two weeks. And you are
S1: now over here writing about it. So I just want
S1: to let you know as my as your friend that
S1: you are being influenced by this campaign that was launched
S1: by this group three and a half weeks ago. That
S1: is a service that we all need. That is a
S1: service I'm going to build for myself, because that's going
S1: to be part of this overall mechanization involving substrate pipelines,
S1: a whole bunch of other stuff that's basically monitoring not
S1: just the world, but also myself and seeing like how
S1: I'm being influenced. That's like one of the use cases.
S1: All right. Switzerland has passed a law requiring all public
S1: sector agencies to use open source software and open source,
S1: any code that they develop. I love this, but, uh,
S1: open doesn't mean secure by itself. That's one thing. The
S1: other thing is you got to find a way to
S1: support the stuff, which you could just hire consultants or
S1: companies or whatever, but or trained internally, but definitely have
S1: to worry about support Govloop super cool platform for AI
S1: workflows doesn't quite work as far as I could tell.
S1: And if you're like a founder there or something, feel
S1: free to reach out and let me know. And, uh,
S1: happy to correct that. But that's just my current impression.
S1: But I am extremely excited about it and I think
S1: they're doing great stuff. The guy is amazing. Reminds me
S1: of Yahoo pipes. Definitely want to check it out. Alphabet's
S1: putting another 5 billion into Waymo. It's basically looking like
S1: Waymo versus Tesla for self-driving taxis. But the approaches are
S1: very different. Waymo basically needs to train for a very
S1: long time in a city before it works, because they
S1: kind of work out all the bugs just by driving
S1: all the streets for a very long time. And, and
S1: they sort of ramp that up. And Tesla is like
S1: typical Elon. He's like, no, I'm just going to make
S1: the thing. It's going to be awesome. It's going to
S1: work perfectly. I'm announcing it soon. But you have to
S1: realize that he's not always right, right. He said full
S1: Self-Driving was going to be pretty easy and we would
S1: have it years ago. And now it's 2024 and it's
S1: just now getting good. So something to think about there.
S1: Between the two different approaches, Joe Procopio argues that tech
S1: companies are struggling to find good employees because they focus
S1: too much on creds and not enough on skills. I
S1: like it. I think this is exactly the shift that's happening.
S1: He basically suggests that companies should prioritize practical experience and
S1: problem solving abilities over degrees and certifications. That's exactly what's
S1: going to happen with something like Astra, which is a
S1: fake thing. But this this article that I wrote that
S1: rates things in and gives scores, basically does a gauntlet
S1: of tests and then gives you like these comprehensive, really
S1: deep scores. That's essentially how that's going to be solved.
S1: Apple just launched a beta version of Apple Maps for
S1: the web. Humans. Did I talk about ChatGPT? I thought
S1: I did I take that out? Where did that go?
S1: Oh very strange. Yeah, there's a new ChatGPT a search
S1: web ChatGPT that basically competes with Perplexity and Bing and
S1: it's it's out, but it's waitlisted. Um, so, uh, I
S1: don't know. I haven't checked to see if I have
S1: access to that one yet, but, uh, looking forward to
S1: that one. Humans. Wall Street Journal explores why the US
S1: birth rate is declining, citing economic uncertainty, career priorities and
S1: lifestyle choices. The idea that UBI reduces the need to
S1: work isn't new, but recent studies show that it does
S1: not lead to better jobs or more education. I think
S1: the issue here is that certain people will spend free
S1: time and money to better themselves, and certain people won't,
S1: and it's not clear why that is. It's not clear
S1: what the actual like factor is, but the way forward
S1: is basically trying to figure out what that is and
S1: not believing in fairy tales like giving away free money
S1: will make everyone ambitious. It does not. And this reminds
S1: me of a lesson that's very similar that I learned
S1: like 20 years of hiring people, which is exposing people
S1: to training and encouragement makes the best people stand out,
S1: but it does not turn everyone into the best people.
S1: And I've known this because I tried because I tried
S1: for like ten years with cohort after cohort where I
S1: would just be like, oh, well, my training wasn't good enough.
S1: That's why they didn't get it, or they were distracted
S1: or they were busy or whatever. So I just keep
S1: hitting them and keep dumping hours and hours and hours
S1: and more training and more training. Send them to more
S1: classes and you come back to them and you're like, hey,
S1: what have you done? They're like, I don't know. I
S1: didn't do anything. What should I do? And you're like, uh, no, no.
S1: So you've you've got to figure out what you want
S1: to do. You've got to I've given you all the training,
S1: I've given you all the stuff and all the books,
S1: and I gave you all the demos. I told you
S1: how to set up the demos. I showed you how
S1: to set up the tech, and, um, have you done
S1: any of that? And they're like, no, what should I
S1: do first? I don't I don't know how to do
S1: any of that. Can you show me? And you're like, well,
S1: I showed you four times. You want me to show
S1: you a fifth time? Okay, sure. I'll show you a
S1: fifth time. Show them a fifth time. Come back two
S1: weeks later. Hey, how is it going? Going with what?
S1: With the stuff we talked about last time. And they're like, yeah,
S1: it never got around to that. Like, I couldn't find
S1: this one driver. Like, there was a driver down low,
S1: but the driver download didn't work. It's like, okay, well
S1: did you research that? No. How would I do that?
S1: Can you help me that That ends up being like
S1: 50 to 80% of everyone. Here's the alternative. Here's the
S1: alternate version of a star. Okay? You're like, hey, um, hey, everyone.
S1: So check this out. This is a class about. And
S1: you see a hand go up. Hey, look, I read
S1: the whole document. Um, I looked forward in the class.
S1: I've got this thing running, but there's an error. Um,
S1: so I fixed it and I stood up a different version,
S1: and it's running. Can I show you? And you're like, okay,
S1: so you basically read everything, jumped ahead in the class,
S1: built something. It didn't work, but you fixed it, and
S1: now you're running a different version and you want to
S1: show it to me now. But I just started my
S1: first sentence of the class and they're like, oh yeah, sorry. Yeah.
S1: Please continue. Sorry. I was just excited. The difference between
S1: these two things are so insane. Okay? And what I've
S1: learned after all these years is that if you're trying
S1: to build a star team and you're trying to build
S1: like a group of the best people, what you want
S1: to do is throw help and throw training and throw
S1: encouragement to a massive group of people and not judge,
S1: not prejudge, not do anything you have no idea. You
S1: have no idea. It's it's not people who wear yellow shirts.
S1: It's not people from Idaho. It's not people from Mississippi.
S1: You have no idea what the criteria are like. Background,
S1: ethnic group, you education, background. Are they educated? Do they
S1: have a PhD? Do they have two master's degrees? Are
S1: they still in high school? You don't know. And that's
S1: the smartest thing you could possibly realize is that you
S1: have no idea. You have no idea who's going to
S1: just be kind of like, complete, completely inert, and just
S1: unable to learn and unwilling to learn and unable to
S1: absorb any amount of effort that you give, versus some
S1: random person who doesn't think much of themselves and are
S1: unassuming and quiet, and they just absolute sponge. Absolute murder.
S1: Like the the craziest, best IT person you've ever found.
S1: And suddenly they just can't shut up about everything. I
S1: was like, oh, and I did this and I read everything, um,
S1: all those books that you recommended. And then I went
S1: and downloaded this and I oh, but I changed it,
S1: and I want to show you this thing, and you're
S1: just like, Holy crap. They were sitting right next to
S1: the other person who I gave the same exact training.
S1: This is a lesson, incredibly powerful lesson. And to bring
S1: it back to this article, I believe the same thing
S1: is true with UBI. The same thing is true with
S1: social programs. The same thing is true with all these
S1: different things. So the whole trick and we're going to
S1: get a little broad here. The whole trick is to
S1: make sure that no one's at a disadvantage, okay? Because trauma,
S1: because they're hungry, because they can't afford coverage. Right. Because
S1: there are stars all throughout this entire population, this these
S1: 8 billion people that we have. There are stars who
S1: you will never know if they're a star because they
S1: can't make it to your class because they're working seven
S1: jobs and they got an ant and a dog and
S1: a and a parent and a girlfriend or a boyfriend
S1: who is sick. And so they're over here juggling and
S1: they're another Einstein, they're another von Neumann. And you will
S1: never know because they got screwed. They got screwed by luck.
S1: So the goal and now we're going really broad. The
S1: goal is to build a society in which nobody has
S1: screwed in that way. And when they do get messed
S1: over in that way, we help them. We help them
S1: get back into this, remove the obstacles so that everyone
S1: has the opportunity to be one of these stars to
S1: stand out. But we should not think that everyone who
S1: gets exposed to the opportunities is necessarily going to be
S1: one of those stand out people. So if we see variation,
S1: which is probably going to look a lot like a
S1: bell curve, right, you're going to have most people in
S1: the middle, um, when you see that variation, you should
S1: be like, yep, that's exactly what we expect to see.
S1: Most people in the middle, some people who don't want
S1: to do anything despite any training, and some people who
S1: could just hear the first word and write a book. Right.
S1: That's just expected. Now, I would say that there's some
S1: nuance here in the sense that, like, okay, if we
S1: can identify that grit and self-discipline and I don't know,
S1: something that we could try to put into culture, something
S1: we could try to put into education systems, something that
S1: we could try to put into training, something we could
S1: try to put into parental education if we could find
S1: those tokens and just like, make sure they're part of
S1: the training and that helps lift everyone or some number
S1: of people, that'll be fantastic. But it has to start
S1: with realizing there's going to be a distribution and that's
S1: going to be based on meritocracy, which is good. However,
S1: the whole purpose of society and liberal society or liberal
S1: liberal approach to building a society is making sure that
S1: everyone can enter into the meritocracy funnel without disadvantage. That's
S1: that's the goal. That's the trick. And I'm going to
S1: actually try to instantiate this using substrate, by the way.
S1: All right. That was a oh goodness. That was a
S1: massive diversion. Uh, southwest is ditching its open seating policy
S1: after 50 years to boost profits and meet customer preferences. 80%
S1: of their flyers preferred assigned seats 80% is a lot.
S1: The Senate's version of 2025, NDAA, does not include the
S1: countering CCP Drones Act. Happy and sad about this I
S1: love DJI drones, DJI drones, but I feel like we
S1: need to go without them because they're so good that
S1: there aren't many alternatives. And, uh, Chinese companies have the
S1: ability to be just taken over by the CCP at
S1: any given moment, if it's advantageous to them. So I
S1: don't like that. Same reason I don't like, uh, TikTok.
S1: As you might expect from an ex-military security person, nearly 40%
S1: of Americans are stressed out about making ends meet, 40%,
S1: up from 28% in 2021. And this is a very
S1: similar number to during the Great Recession, which I believe
S1: they're talking about 2028, I'm sorry, 2008. US economic growth
S1: hits 2.8% weight loss. Drugs like Ozempic, mounjaro and Wegovy
S1: are causing people to spend less on groceries. I heard
S1: it's also making planes lighter and use less fuel. So
S1: Wegovy is a climate change product. They should try to
S1: get some funding for that. Subsidies or something. A new antibiotic.
S1: Oh my goodness. A new antibiotic from the University of Illinois,
S1: Chicago disrupts two different cellular targets, making it 100 million
S1: times harder for bacteria to evolve resistance. One dose of
S1: a new nasal spray treatment clears toxic tau proteins from
S1: brain cells. And one thing to remember about these I'm
S1: going to keep sharing these studies like I am. That's
S1: the thing I'm going to do. I'm going to have
S1: more and more scrutiny because part of the pipelines, uh,
S1: workflow and substrate and all of that, I'm going to
S1: have these things being tested and going through pipelines. It's
S1: going to be awesome. But you still have to realize
S1: the bigger the finding, the more you should wait for
S1: supporting studies. And in my mind, the stuff is not
S1: actually truly real until the drug is available to normal people,
S1: which means it's already been rigorously tested. And of course
S1: it will be constantly tested afterwards as well in in
S1: the larger population. So that to me is like the
S1: real stuff. But I still like watching this. I always
S1: thought that this tau protein stuff was ripe for some
S1: sort of chemical solution, some sort of, you know, uh,
S1: medicinal solution. Uh, of course, that was just intuition. I
S1: have no expertise there, but it just seems like something
S1: that people can grab on to once they realize the mechanism.
S1: Liberals and conservatives are both prone to conspiracy theories, they
S1: just prefer different ones. Hendrik Carlson talks about how generating
S1: interesting ideas is like building a muscle. He says the
S1: more you write and think deeply, the better you get
S1: at coming up with new and meaningful thoughts. 100% agree ideas.
S1: Zuckerberg is arguing that China is going to steal weights anyway,
S1: so there's no way to stop that, so you might
S1: as well develop advanced AI as open source. Okay. Not really. Okay.
S1: But I think I wrote about that somewhere, so I'm
S1: not going to go into that. Search GPT oh that's
S1: where I put it yeah. Search GPT in discovery here
S1: I use obsidian Jason Pepper Hepler talks about how he
S1: uses obsidian for notes. In the beginning was the Command Line,
S1: Neal Stephenson's classic essay on operating systems, my obsidian notetaking workflow.
S1: It's on my mind. So that's why I got multiple
S1: things in here on it bash one liners, data chain,
S1: unstructured data management for AI projects. Llama agent stack. This
S1: one's cool. I JSON has a cool, um, video on this.
S1: You should check out on YouTube. Open world exploration in
S1: Minecraft Claude engineer la Cara low latency AI application firewall
S1: GPT four Captcha Bypass Flow Analyzer a tool for understanding
S1: OAuth two grant flows with support for Oidc and Jwts Jots.
S1: I don't know how you're supposed to pronounce that JWT.
S1: I bet you about 5050 people do that jot versus
S1: JWT bash, simple curses, simple bash library to create terminal
S1: interfaces and the recommendation of the week. I'm going to
S1: try to do something for the next several months. Kind
S1: of do this already, but I'm going to try to
S1: do it even more going into this election. When someone
S1: labels me as super liberal, I'm going to say something
S1: nice about their conservative views. I'm going to humanize them.
S1: When somebody labels me as super conservative, I'm going to
S1: say something nice about their liberal views. I'm going to
S1: humanize them. Try this and see if it opens up
S1: the conversation at all. I learned how to do this
S1: from Jonathan Hite's book, The Righteous Mind, by the way,
S1: and this was probably 6 or 7 years ago now.
S1: This book brought me to the center politically. It brought
S1: me to the center, specifically what it did because I
S1: was already pretty far left. I've always been left, um,
S1: always voted Democrat. I've only been a Democrat, I guess, uh,
S1: technically and legally my whole life. Uh, although I wouldn't
S1: say I'm a Democrat, I would say I've always been
S1: liberal my whole life, but technically, yes. Democrat. Um, this book. Well,
S1: let me just continue on that. Born and raised in
S1: the San Francisco Bay area, which grew up with super
S1: liberal hippie parents, and I, as a result, have always
S1: seen conservatives, or I was trained to see conservatives as, uh,
S1: holding progress back in, in a negative way. So not
S1: just conservative, but conservative in a bad way. In other words,
S1: conservative was bad and basically just viewed them poorly. What
S1: this book did was show me this is the, I
S1: think the main premise from the book, which I'm I'm
S1: happy for him that I remember this so clearly. I
S1: think the main premise is that both sides value things
S1: very closely, very dearly, um, in a sacred way. But
S1: they are different things. So it's not that one is
S1: going for good things and one is going for bad things.
S1: It's that both are going for good things, but they're
S1: different good things. So the whole trick to being in
S1: the centre and the whole trick to moving progress forward
S1: is realizing that people are just different. Okay? And there
S1: there are extremes to this that make it not true.
S1: But in general, you should look for this common ground
S1: and realize that there being a good person, um, in
S1: their way and you're being a good person in your way,
S1: and you're going to try to find, uh, Harmony there. Now,
S1: in the case of extreme sides of left and right,
S1: you can argue that, yeah, their good is actually bad
S1: for the whole world. So like, you don't want to
S1: support that. So understand there are situations like that. But
S1: in general we would all be better off by reading
S1: this book and realizing this, this nuance, which might help
S1: bring you towards the center and produce better conversation. And
S1: the aphorism of the week, the highest form of knowledge
S1: is empathy. The highest form of knowledge is empathy. Bill Bullard.
S1: Unsupervised learning is produced and edited by Daniel Miessler on
S1: a Neumann U87 AI microphone using Hindenburg. Intro and outro
S1: music is by Zomby with the Y, and to get
S1: the text and links from this episode, sign up for
S1: the newsletter version of the show at Daniel miessler.com/newsletter. We'll
S1: see you next time.