S1: Welcome to Unsupervised Learning, a security, AI and meaning focused
S1: podcast that looks at how best to thrive as humans
S1: 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, Mr. Daniel Missler. All right, let's get
S1: into it here. So, yeah, doing a whole bunch of
S1: new stuff with the desktop swapped out Kitty as the
S1: new terminal got rid of alacrity, which was cool for
S1: a hot minute there, but I think that lasted about
S1: a week until I realized it had a lot of problems.
S1: Someone recommended Kitty in the GitHub project for alacrity, and
S1: I ended up switching over. And I just like a
S1: better for lots of different reasons. And both of them,
S1: in my opinion, are better than I term two. Both
S1: of them have text configuration for for configuration, you don't
S1: have to go into like settings with a UI as oxide.
S1: You buy for a window management SCT for managing shortcuts
S1: for your buy sketchy bar for this new bar. You
S1: can see it up here and uh, Sto for syncing files.
S1: Pretty cool stuff. And we're going to be talking about
S1: this a whole bunch during a UL meeting on Thursday.
S1: So that is coming up this Thursday if you are
S1: a member. And yeah, I haven't been this excited about
S1: a desktop configuration. Like I don't want to if I
S1: start flipping around right now to show you it's going
S1: to become a whole video and we don't have time
S1: for that. So I'm just going to get into the show.
S1: But I'm more excited than I've been for a very
S1: long time about desktop configuration and just optimization. I'm just
S1: I don't want to leave my home keys, right? I
S1: want to vim all the things right. And that means
S1: like screen management. I'm looking at three screens here. I've
S1: got a, you know, the Apple Z1 in the middle
S1: and I've got two LG five KS, so it's six
S1: K in the middle, two five KS on the side.
S1: I can move between them, I can move between desktops
S1: inside of it inside, you know the Mac OS management
S1: of desktops as well. And most importantly applications and windows
S1: inside of the interface. But again, I don't want to
S1: talk about it too much. Already have. All right. So
S1: fabric now supports clod opus and opus is actually the
S1: first model that I've seen that is actually better. I've
S1: seen tangibly be better than GPT four. So I didn't
S1: think that was going to happen before GPT five came out,
S1: but it did. Opus is actually better in numerous cases
S1: that I've actually physically seen, and one of them is
S1: actually finding hidden message, which I talk about right here.
S1: So this it's actually much better on this particular thing. Yeah.
S1: So this is essentially how you use it. So you
S1: do PB paste or whatever the input is. You take
S1: any input from stdin or standard in and then you
S1: send it into fabric extract ideas, and then you set
S1: it to Model cloud three opus and you give the
S1: model number. And we're actually about to make it. So
S1: you don't need the model number. You could just send
S1: it to cloud three opus and they'll use the latest one.
S1: Also added a new pattern. That's basically how you use
S1: cloud but added a new pattern called Extract Predictions. So
S1: I'm going to basically send this content from whoever. And
S1: it's going to rate including my own stuff, and it's
S1: going to rate like how certain I am about the,
S1: the prediction and also what the actual prediction was. And
S1: when I said it would happen by and I'm going
S1: to collect this for a group of people and then
S1: retroactively look back and say, you know, I'm not sure
S1: like how good they were at doing this, because it
S1: looks like all these things are wrong. And with automation
S1: plus AI, you have the ability to just like, go
S1: get everything they ever said and look at all their
S1: different predictions and see how valuable they were. And fine
S1: hidden message is now more effective. And it actually comes
S1: back and says, here's a really cynical view of what
S1: they said, a normal view and then like a favorable view.
S1: So that's pretty cool. I wrote a couple of new
S1: essays this week. AI is already becoming like reading. Kind
S1: of depressing. Not going to get into that. AI is
S1: worse if you think it's someone who's fault, somebody fault.
S1: So yeah, that one a little bit about framing essentially.
S1: All right. Security. So had a Google engineer indicted for
S1: stealing AI trade secrets to benefit China and basically took
S1: over 500 files related to TPUs. Essentially tensor processing units
S1: is what it was. And he actually lives not too
S1: far from here, a few streets from here actually, like
S1: a five minute drive and, uh, yeah, pretty, pretty sad.
S1: And what I talked about here was basically, if you
S1: don't want to like, go crazy with what's going on
S1: with like, how this keeps happening with Chinese employees because
S1: China is overreaching. China loves espionage. I mean, this is
S1: just common knowledge. And they love to tap into their,
S1: you know, people who are deployed all over the place. Right?
S1: And it doesn't I don't know the exact details of this,
S1: but it's not like they're actually deployed like a military unit.
S1: It's more like, hey, I could tap you on the
S1: shoulder at any given moment. Somebody named Andrew Bustamante talked
S1: about this in extreme detail. At one point he's like, look,
S1: this is the biggest and scariest spy service in the
S1: world because they consider all of their, all of their
S1: citizens to basically be an extension of the spy network.
S1: So at any given moment, they could. Just tap you
S1: on the shoulder and say, hey, it is your duty
S1: as a Chinese citizen to help China. And that does
S1: not mean that anyone's going to respond to that, right?
S1: I absolutely don't believe that people have been here for
S1: a long time, have loyalty to the US, that they're
S1: going to do that. Right. And that's why I talk
S1: about this. It takes a lot of courage and wisdom
S1: to simultaneously realize how bad Chinese government espionage is without
S1: giving in to racism, right? And a really good answer
S1: to this is to have a really good insider threat
S1: program that looks at behavior rather than characteristics. But the
S1: problem here is that those programs are really difficult to
S1: build and run and maintain, and so they tend to
S1: only exist in big companies like Google. And this was
S1: actually Google where this this was discovered. So the question
S1: is like where is it also happening but not being discovered?
S1: Big story. Midnight Blizzard is basically pounding on Microsoft. And
S1: that is a Russian group. Qnap alerts more Criticals. I mean,
S1: never under any circumstances put a NAS online. It's like
S1: like I say here, it's a perfect storm of the
S1: most critical data that you don't want to lose or
S1: have stolen. And then the worst possible code just absolutely nasty.
S1: And thanks to Plex Track for sponsoring North Korean spies
S1: hacked into South Korean chipmakers stealing designs A flipper zero
S1: device was used to break into a Tesla, but it
S1: was a little bit of like kind of a stretch here.
S1: First of all, they didn't have to use a flipper zero.
S1: They could have used anything that just stole Wi-Fi because
S1: it was like a fake Ssid. And then you had
S1: to have multiple things sort of stacked together. You had
S1: to be right next to it, like a bunch of
S1: stuff that didn't make it super serious, which is why
S1: I think Tesla didn't take it that serious either. Scammers
S1: are increasingly using AI to mimic the voices of loved ones,
S1: and my advice here is to let your most vulnerable
S1: family members and friends know that scammers can now fake
S1: voices and everything, and that if they think you're in trouble,
S1: they should try to get in contact with you or
S1: get in contact with someone who knows that you're okay,
S1: someone around you, in your circle and in scammers. Do,
S1: I think, try to do this? I know this for
S1: a fact that they do. Not all can do this
S1: because this takes time and effort. It it's what we
S1: call in security world. Expensive to try to determine what
S1: your current state is, but the more advanced the attack is,
S1: the more money they would get from it, the more
S1: likely it is to happen. But the point is, scammers
S1: do try to figure out how to do this when
S1: they know you won't be able to get in contact
S1: with them. Okay, if you're on a vacation or you're,
S1: you know, whitewater rafting or something and they know you're
S1: on the river, again, this is less likely. But if
S1: they know you're on a river, you don't have cell
S1: phone connection. Well, that's the perfect time to call grandma.
S1: And here's the problem. People post that they're whitewater rafting.
S1: People post and say, I'm going whitewater rafting. I will
S1: be unapproachable, unreachable for five hours. See you when I
S1: get back. Well, thanks for mentioning that because now I
S1: can call grandma and say, hey, they had a rafting
S1: accident and the whole family needs surgery and we need
S1: $80,000 to get the best doctors. And guess what? Grandma
S1: immediately calls you and gets no answer. Or even worse,
S1: the phone is out of service. Holy crap, now they're
S1: freaking out. And then they use these tactics to just
S1: make it more and more pressure. It's like, oh, the
S1: doctors really worried. They said, they have to start now.
S1: I need your credit card. And so that that sense
S1: of urgency is really, really bad. So you've got to
S1: train the more vulnerable people in your life to like,
S1: get ready for this. It's especially bad. And this is
S1: kind of the point of this one is like, what
S1: if it's in your voice? Okay, it's a voice message
S1: from you saying, please wire money to this account. Otherwise
S1: these kidnappers are going to kill me, okay? And it is.
S1: It sounds exactly like you. I mean, that that is
S1: not in the future. That's like right now they can
S1: make something sound like anyone. So you've got to prepare
S1: your family and friends for this US sanctioned individual and
S1: entities behind predator spyware. I like the fact that they're
S1: going after people like this. Cloudflare has a new firewall
S1: for AI and looking at protecting yeah, basically AI from
S1: security threats. And my my analysis here is so nimble.
S1: These guys, they they basically seep into all the cracks.
S1: They're slowly becoming the internet. I honestly believe this. Cloudflare
S1: is quietly becoming the internet, right. If Google like gets
S1: rid of Gmail and YouTube out of sheer stupidity, which
S1: is not out of question, and Akamai gets bought by
S1: whatever Johnson and Johnson and boom, suddenly Cloudflare is like
S1: the internet. Brian Krebs has a really cool analysis of radar,
S1: a data broker that sells all sorts of American data,
S1: and they've got ties to Russia and all sorts of badness.
S1: And Krebs does a great job as as always taking
S1: that down. And Russia, setting up fake news sites. Can't
S1: wait to actually start consuming these things. I'm going to
S1: start consuming. Tons of online content and actually doing multiple
S1: filters on it. And one of them is going to
S1: be looking for propaganda. So I'm hoping to detect these
S1: types of networks before anyone else does. China is increasing
S1: its defense budget by 7.2%, and this more than doubles
S1: the military budget under Xi's leadership. Technology for AI is
S1: a cold calling AI service. You have got to check
S1: this thing out. It is the craziest thing and I've
S1: got links here to the video. I don't know, I
S1: might start doing a longer version of this where I
S1: can actually play the videos, but this, this one here.
S1: New voice demo. This one actually has a female southern
S1: person calling and you can hear the accent. It's really endearing.
S1: I spent like, whatever, 12 years in Georgia, got my
S1: girl from there. And like, the accent is just amazing
S1: and it just kind of makes you open up and like,
S1: listen a little bit more, which is the whole key
S1: to a cold call. And anyway, this thing is it's insane.
S1: It's the coolest. Like sales automation thing I've ever seen.
S1: And it yeah, it uses AI. All right. So it's
S1: been giving AIS different IQ tests actually this matrix IQ test.
S1: But they're giving different LMS the matrix IQ test. And
S1: Claude three just broke over 100 for the first time.
S1: And 100 is like the average human IQ. Apple has
S1: quickly shifted from a passive stance in AI to going
S1: crazy with it, and can't wait to see what they
S1: do in September. Apple podcasts now have auto generated transcripts.
S1: Research is saying that models will soon be able to
S1: optimize prompts better than people, so prompt engineering might be
S1: just going away. I think that's kind of right, but
S1: at the same time, you can't just give it total garbage, right?
S1: I don't see some random person be able to just
S1: bark idiocy at a model and have it say, oh,
S1: you were referring to Feynman's third principle. Indeed. Let us proceed.
S1: Don't think it's going to be able to do that,
S1: but if you do voice something that's halfway decent, they
S1: might be able to like, clean it up and be like,
S1: I think you meant this. Global trust in AI is falling, waning,
S1: dropping off with a significant drop from 61% in 2019
S1: to 53% now. And this is why I wrote one
S1: of the essays that I was talking about up above
S1: France just put the right to abortion directly in the Constitution,
S1: and somebody set a new rule capping credit card late
S1: fees at $8. This is going to cost banks a
S1: lot of money. A lot of people are basically saying, hey, look,
S1: they're just going to find ways to get that money
S1: back with other fees, but it doesn't matter. I like
S1: the fact that the government is actually pushing back on
S1: this really cool, raw image. Look at this. This is insane.
S1: This is why I want to do a video podcast
S1: instead of a audio. I mean, look at this. I've
S1: already got the Hubble version of this, but this is
S1: the new one from the Webb telescope. Look at this thing.
S1: This is ridiculous. Every single thing you see is a galaxy,
S1: not a star, a galaxy. Actually, there might be some
S1: stars that that happens sometimes, but yeah, really cool. So
S1: I'm going to basically order this on a metal print
S1: like I have for the Hubble. One single dose of
S1: LSD shows promising results for treating anxiety 48% remission at
S1: 12 weeks Sweden is now a NATO. New York has
S1: rolled out National Guard troops to protect its subways. That's disturbing.
S1: And Scotus ruled unanimously to keep Trump on state ballots. Yeah,
S1: I consider what Colorado and some other people tried to
S1: do to get him off the ballot as a Brexit move,
S1: and I call it a Brexit move because it's the
S1: type of thing that you try to do. You get
S1: it done and then you immediately regret that you did
S1: it right. You don't take people you dislike off the ballot.
S1: You don't do that. It's not American. It's a bad thing.
S1: And like I said down here, the moment you do
S1: it and it actually works well when you're not in
S1: control and it comes time to put up your own candidate,
S1: the opposition is just going to do it to you
S1: and it's going to get worse. And pretty soon you
S1: have Banana Republic. It's not a real democracy. And here's
S1: the other point. If somebody can be elected and you
S1: find them so detestable, but they actually get elected like
S1: they they legally are allowed to run in the country
S1: votes for them. That's the game. That is the game.
S1: And I do not like Trump. I'm not a Trump guy.
S1: Doesn't matter. And we're not going into politics here. But
S1: he's not my guy. The point is, if the country
S1: votes him in and that very well may happen, then
S1: that is American. That is American. For somebody to vote
S1: in in a free election, of course, which I think
S1: it will be. And it's like, that's what that's what
S1: America wanted. So either change the country or leave. I mean,
S1: those are my options at that point. All right. Ideas
S1: and analysis. I was troubled with Harare's analysis on Colbert.
S1: So he basically said, down here. He was talking to
S1: Colbert and he basically says, we have no idea what
S1: to teach kids growing up. Now we have no idea
S1: to tell them what kind of skills to have. And
S1: we used to be able to tell them, oh, you know,
S1: shoot a bow, you know, ride a horse, you know,
S1: farm wheat or whatever. And now we don't know what
S1: to say. And I just don't think that was good.
S1: I mean, he's he's the best. I got massive respect
S1: for him. And I also want to give him, you know,
S1: some props because like I say here, the lights are bright, right?
S1: I mean you're encouraged to give like these little soundbites.
S1: So so I'm not like throwing shade, but I just
S1: wish he didn't come out and say, we have no
S1: idea what to tell people because we actually do write
S1: clear thinking, clear communication, understanding the past, understanding the merits
S1: of various arguments, how to disagree, philosophy, critical thinking. All
S1: these things are more important than ever and more obvious
S1: than ever that we need them in the future. So
S1: it's kind of the opposite of what he's saying. So
S1: that's what I basically said in this tweet. All right.
S1: Been drawn back into the Stoics lately, been reading a
S1: whole lot of Marcus Aurelius, and really got a whole
S1: bunch of stuff from Ryan Holiday's Stoic store. And you
S1: should check that out. And oh, yeah, we're doing our
S1: mid-month on optimization. I think I talked about that already,
S1: and I should go sign up. That's the link to
S1: go sign up Daniel missler.com/premium. And yeah, this newsletter was
S1: super fun to do. Really fast, more creative than ever.
S1: Just it's going great. Don't really need to say too
S1: much about that. All right. Discovery obsidian as a graph
S1: database for Rag. This is really cool because people put
S1: so much effort into obsidian. Being able to apply AI
S1: to it is super, super cool. Male in the middle
S1: automate spearfishing. Enough said. Junaid Islam outlines a five step
S1: method for cutting cybersecurity budgets. This was a pretty cool
S1: write up. During World War Two, America fought against damaging
S1: rumors with rumor clinics in newspapers and magazines. I think
S1: we should look and do this right. We should look
S1: into this so debunked lies by fact checking and publishing
S1: the findings, helping to maintain morale and unity. Um, pretty cool.
S1: I get Julia Evans, the surprisingly complex world of Jets head,
S1: revealing its multifaceted roles. I am embarrassed by how often
S1: I realized I don't know anything about Kit. I just
S1: too many times per month, I just delete the whole
S1: I'm like, I'm confused, delete the whole repo, re clone it.
S1: And that's just sad. I need to get class. All right.
S1: It's getting harder to tell humans apart from bots, but
S1: not because bots are getting more smart or more like humans,
S1: but because humans are acting more like bots. Oh that's disturbing.
S1: How to start a home lab? Really good primer here
S1: by Hayden James. And this guy Chen is all excited
S1: about soft skills. He says 80% of failures at Amazon
S1: are due to soft skill issues, not technical ability. And
S1: it says that he got a job at Amazon even
S1: though he wasn't technical because of this skill. I'm not
S1: sure it was actually him that said 80% of failures,
S1: but I wrote that anyway. All right. Tolkien intensely disliked
S1: Dune because Tolkien wanted to talk about inherent acts of goodness,
S1: and Dune talks about consequentialist morality of action judged by
S1: their outcomes. I like it, I like it, and I
S1: also like this word. I wrote a piece about this
S1: a while back. Deontological. The morality of something depends on
S1: the effects that it has as opposed to intentions. Pretty
S1: cool concept. Someone reminisces about the simpler, less polished writing
S1: they used to do. They express a longing. This is
S1: on Reddit, by the way, a longing for their earlier,
S1: unrefined work. Feeling it had charm that their current writing lacks.
S1: This is absolutely true. I've experienced that in the past,
S1: and Kate Hall shares how anyone can learn to be
S1: more energetic. This is pretty cool. It's over on the
S1: site every, which is a really cool site from Dan
S1: Shipper and the recommendation of the week. Trust your routine.
S1: If you spend a lot of time putting together a
S1: routine that helps you feel good and positive, then you
S1: got to follow it. You got to follow your routine.
S1: Whenever I'm out of routine, I'm not feeling good. I'm like, ah,
S1: it's got to be something else. It's got to be.
S1: I got to figure out what it is. Is a
S1: supplement or something? No, it's it's not a supplement. It's
S1: not something special. You're just not on your routine. Right.
S1: What's the routine? Something like this very Huberman esque sleep,
S1: sun exercise, clean food, walking. Talk to your friends and family.
S1: Like be social. It's the basics and there's a reason
S1: you wrote them down, so go do them. And the
S1: aphorism of the week. Choose not to be harmed and
S1: you won't feel harmed. Don't feel harmed and you haven't been.
S1: Choose not to be harmed and you won't feel harmed.
S1: And if you don't feel harmed, then you haven't been.
S1: Marcus Aurelius. Unsupervised learning is produced in. By Daniel Miller
S1: on a Norman 87 AI microphone using Hindenburg. Intro and
S1: outro music is by zombie with the Y, and to
S1: get the text and links from this episode, sign up
S1: for the newsletter version of the show at Daniel miller.com/newsletter.
S1: We'll see you next time.