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. This is Daniel Missler. So we added
S1: a ton of new patterns to fabric. This week. We
S1: added crate threat model which basically you pipe in the
S1: kind of situation that you're worried about in it outputs
S1: you like a logical threat model. Based on an essay
S1: that I did a while back. Find a hidden message.
S1: This thing is so cool. You basically send in any
S1: essay or article or whatever. You're not sure if you're
S1: being lied to, if or if the person is being
S1: disingenuous or whatever, and it'll actually tell you what they
S1: claim to be trying to say versus what they actually
S1: are saying. So that's a really cool piece of functionality.
S1: And I put a bunch of stuff through it. It's
S1: it's pretty accurate and have it even like fully tweaked
S1: it yet create Ascii visualization. So this thing will actually
S1: create a visualization, a very rudimentary Ascii visualization of basically
S1: any concept. So you can send in like the meaning
S1: of life or the Dunning-Kruger effect or really sort of
S1: conceptual things, and it'll just draw a picture for you.
S1: So you can like explain something to a kid or something.
S1: So I thought that was pretty cool. You could do
S1: the same thing with Mark map, which I didn't know
S1: it was. It's basically like a markdown version of a
S1: mind map. So you do the same thing. You take
S1: any concept, you send it into this and it builds
S1: you a mind map of those things and actually has
S1: links and everything, and you can actually expand and contract
S1: the mind map. It's really cool. And same for mermaid visualization.
S1: This is a JavaScript based, also markdown, but JavaScript. And
S1: you put it into one of the renderers and you
S1: could basically see a mind map or a visualization of
S1: the thing. It's more rich though, than some of the
S1: other ones, so that was really cool. We also added
S1: early crew eye integration. So many, many thanks to Jonathan Dunn,
S1: because he's been working on so many of these pieces
S1: of client functionality, and we now have our first one working.
S1: It's like you run fabric agents, trip planner, trip underscore, planner,
S1: and it will actually run a trip planner for you.
S1: It'll ask you questions, where are you going? What do
S1: you want to do while you're there? And it spins
S1: up a team of agents and actually does that for you.
S1: So that's now integrated and brand new. Just this morning.
S1: It's not even in the newsletter yet is local model support.
S1: So you can now run local model. You actually do
S1: capital L and then if you do like llama too
S1: it'll run. You have to install a llama and get
S1: it running. But that's like one command. And once it's
S1: done and you have the model actually downloaded, it'll give
S1: you the result from a local one. So you're not
S1: even being charged any tokens. And this thing totally works.
S1: Just got that running in. The documentation is going as well.
S1: So thanks again to Jonathan Dunn for that work. And
S1: you want to just yeah, you want to rerun setup
S1: and restart your shell and then it'll work. All right.
S1: So my work this week wrote this essay called To
S1: Survive I we must become creators. Highly recommend this one.
S1: Especially for anyone who is in school or has a
S1: loved one in school. It was kind of spawned by
S1: a post that I saw from somebody on Hacker News.
S1: In fact, I'm just going to click into this thing. Yeah,
S1: this post from Hacker News click into that as well. Yeah.
S1: So they're basically saying I'm about to finish my CSS
S1: degree in May, and I'm already sick of the tech industry.
S1: I'm at a loss. I know the job market could
S1: get better soon, but there's no guarantee that it will.
S1: And things are looking bad for us with less experience.
S1: And basically just it's kind of sad. It's kind of
S1: a real situation that's going on. So I wanted to
S1: address that, and I think this is the way that
S1: people should be thinking about it. In my opinion, this
S1: is just my opinion. But I think that coders and
S1: lots of people like that are simply not going to
S1: have jobs, right? And some things will go faster than others.
S1: But do a quick little walkthrough through here. You want
S1: to read the whole thing, but basically what is a
S1: creator versus a worker? So on one hand it's pretty simple, right?
S1: So its creators come up with new solutions to human problems.
S1: Workers are the people who execute on building them and
S1: building those solutions. And then like a corporate setting, it
S1: would be like creators are the people who determine what
S1: to build, how to build it, if it's a new thing,
S1: and then how to sell it in the current market.
S1: And workers are the people who make that happen. Right now,
S1: there are situations like we talk about this draw the
S1: rest of the owl. There are some situations where it's
S1: not quite clear. If it's if you're doing a creator
S1: job or an execution job, right? Because if you're making
S1: something that's never been built, technically you're executing, but you're
S1: making something that's brand new, you're kind of creating, especially
S1: if you're doing that and you have your own company,
S1: you're definitely creating. But the vice versa is also true.
S1: So it's like if you used to be a creator,
S1: but now you're creating things that kind of are kind
S1: of a commodity at this point. Well, now you're more
S1: of an executor than a creator. So it goes both ways.
S1: And here's the way to look at it. Basically, I
S1: say as the amount of creation goes up, the amount
S1: of execution will balloon massively, but it's going to be
S1: AI that are actually filling those jobs, right? It's not
S1: going to be humans that are doing all that execution.
S1: Once AI comes online is good enough to do a
S1: lot of this stuff, which I don't think is going
S1: to be long. Humans are basically hard to train and retrain,
S1: and human competence is fixed, right? Our IQs are not
S1: going to go up that fast. I mean, we might
S1: get some improvement on our IQs from, you know, some
S1: AI or some enhancements or nutrition. There's lots of different
S1: things can improve our our IQs as humans, but it's
S1: not going to go up nearly as fast as AI is.
S1: And ultimately humans are expensive, sensitive, and need constant replacement.
S1: And I won't have these problems, right? It's going to
S1: scale with creation. We can make as many AIS as
S1: we need to do a particular job. When you upgrade
S1: an AI, it's pretty easy to roll it out, right?
S1: And they aren't conscious, they don't get tired, they don't complain,
S1: they don't go to HR, you know, to start investigation
S1: and they don't quit. And they're getting smarter at an
S1: insane rate. So what do you tangibly do? Right. You know,
S1: what fields do you go into? How do I steer
S1: my kids towards something or away from something? And should
S1: I still go to college? So my advice is to
S1: focus on creation, on ideas, on making new things, focus
S1: on problems that exist in the world that need to
S1: be solved, and start thinking about what you could do
S1: to solve those problems, what you can build that solves
S1: those problems, right? And basically creating new things to solve
S1: human problems is like the immortal job skill. It's the
S1: best job skill that you can have. And then you
S1: want to think of tech skill and specifically programming in
S1: AI as the new reading and writing. It's essential. Meaning
S1: if you're not good at them, then you're probably not
S1: going to succeed. You're probably going to be like an executor. And.
S1: Even as a creator who's actually giving these this work
S1: to eyes, you still need to be decently fluid, fluent
S1: in programming in AI because they are the language of creation.
S1: You need to be able to explain yourself to AI,
S1: and that that largely is going to be in the
S1: language of like prompting and speaking and thinking and writing.
S1: And some of that is going to involve programming, right?
S1: It'll be less and less as time goes on, but
S1: you should just learn that stuff. The other thing is
S1: you want to get trained on this stuff, and I
S1: think you want to get trained in two primary areas.
S1: And I do think college actually still matters, because it's
S1: a way of filtering the quality of a person when
S1: they don't know anything else about you. So I think
S1: college is still going to matter for a little while longer,
S1: maybe like a decade or something. But when you do study,
S1: whether it's in college or self-study, you want to be
S1: studying two branches simultaneously. One is a hard skill that's
S1: valuable in the market, like AI or something. AI or
S1: development or something like that. And number two is training
S1: on how to think. This one is even more important,
S1: but you don't want to do it at the expense
S1: of the first one. You want to have something, a
S1: hard skill to go along with it. But as time
S1: goes on, being able to think especially about problems and
S1: solutions is like the most important thing. So liberal arts, education, philosophy, logic, dialectic,
S1: all these things become way, way more important. They they
S1: become the things that separate the creators and like the
S1: owners and the, the top people from everyone else. So
S1: you really want to focus on both of those things
S1: in your education. You don't want to think so much
S1: about fields or companies. You want to think more about
S1: problems and problem spaces, right? What are the problems that
S1: will go away versus what are the problems that are
S1: going to stay with us all the time? And you
S1: want to go to where the problems are that interest you,
S1: and you'd be good at solving. And most of all,
S1: you want to get out of the mindset of being
S1: a worker and enter the mindset of being a creator
S1: or a builder. So you don't want to be the
S1: person building other people's ideas. You want to be the
S1: person creating ideas, and in finding the problems and building
S1: things that solve those problems. And that's the summary there,
S1: and that's essentially the post. So I didn't think we
S1: were going to do the whole thing, but that was
S1: essentially it. All right. So that was that one also
S1: posted our sponsored interview with BlackBerry. The second one, BlackBerry
S1: silence with Ismael Valenzuela, and he is the Threat research
S1: and intelligence VP at BlackBerry silence. And we talked about
S1: a whole bunch of cool stuff there. So definitely go
S1: check that one out. Going into security, researchers created a
S1: worm that exploits generative AI and spreads via prompt injection.
S1: So there's kind of a and they named it Morris two,
S1: which I thought was pretty cool. GitHub is now blocking
S1: commits with secrets and public repos. That's really cool. Biden
S1: is viewing Chinese connected cars as a national security threat,
S1: which I'm very happy about. Got to sponsor here. Collide.
S1: Thank you to collide for sponsoring us. Military's Project Maven
S1: is now actively using AI to identify and strike targets,
S1: marking a significant shift from skepticism around doing this to
S1: actually relying on it. And they've already done this in Yemen,
S1: the Red sea, Iraq and Syria. Shot spotter who renamed
S1: themselves probably to get around some PR drama, is now
S1: called sound Thinking and uses hidden sensors for gunfire detection.
S1: And it basically reveals exact locations of those sensors. And
S1: this data was previously unknown. Researchers found over 200 hacking
S1: services using AI. Things like bots like bad GPT. Cryptocurrency
S1: enthusiasts are being targeted with Mac malware. A group of hackers,
S1: including Rizzo my buddy Joseph Thakur, found some vulnerabilities in
S1: Google's AI and cloud systems, and they got 50 grand
S1: for that and a new vulnerability in hugging faces Safe
S1: Tensors conversion service could lead to supply chain attacks in
S1: AI models. All right. Technology. Yeah. Nvidia's CEO thinks I
S1: will soon make coding obsolete. Yeah, like we talked about above.
S1: I think that's true. And we just talked about this
S1: creators and executors essay here. Waymo is expanding to more
S1: highways in LA in the Bay area. I can't wait
S1: till they come to my area. I absolutely loved my
S1: experience with Waymo and Apple canceled the car project. I
S1: think everyone knows about this at this point, but they
S1: moved over 2000 employees to AI initiatives, which I'm super
S1: excited about. I really cannot wait until this June when
S1: they do the new announcements. It's going to be. I'm
S1: so hyped for those announcements. Basically, good AI that's close
S1: to you and actually on your phone is so much
S1: better than amazing. I that's stuck in like an IDE
S1: somewhere in 2023, public tech companies out of 2.4 trillion
S1: to their market caps. Musk is suing OpenAI, saying that
S1: they basically got away from their altruistic nature and are just.
S1: Going after profits, something like that. I'm not sure if
S1: that's his exact claim, but it's something like that. Basically,
S1: OpenAI says the New York Times paid someone to hack
S1: its products to produce content matching the newspaper's articles. This
S1: is wild. I haven't fully dove into, like, their exact
S1: claims in the in the lawsuit or whatever they're doing,
S1: but interesting plot point there. DocuSign has been using customer
S1: data to train their AI. People are freaking out about it.
S1: I think this is kind of like the wrong question.
S1: It's not about if someone is using customer data to
S1: train their AI. Of course they are. Everyone should be
S1: doing that. The question is, are you training on like
S1: personal data, on sensitive data, on privacy related data in
S1: a way that customers would object to? Customers are not
S1: going to object to you understanding, like their behavior and stuff.
S1: It's like it's going to come down to like, are
S1: you targeting somebody or are you doing something that's unexpected
S1: and gross that that's the distinction. SpaceX just hit 17mbps
S1: downloading directly to an Android phone. No. Now, this is
S1: like a new cell tower, essentially, but it's a cell
S1: tower that's actually a satellite. 17 megs download to a
S1: stock Android phone. Wendy's is looking to test dynamic surge
S1: pricing for food in 2025. Seems a little early to
S1: announce a strategy that you haven't implemented yet. Like, isn't
S1: that giving competitors too long to adjust? Yeah, right. What
S1: do I know about fast food strategy? Though? February and
S1: January saw a resurgence in tech job cuts. Yes it did.
S1: They are continuing. I didn't think that was going to happen.
S1: And the 50 over 90 by Nvidia is going to
S1: be like 70% faster than the 4090. Makes me sad.
S1: I got two 4090, but whatever, 192 streaming Multiprocessors and
S1: 24,000 Cuda cores, that is insane. And a new study
S1: of 13,000 people showed. And this is in the human
S1: section that long Covid. And going into the human section,
S1: a new study of 13,000 people showed with long Covid,
S1: they lost about six IQ points, according to the study.
S1: Political extremism is now one of America's top concerns. Edging
S1: out the economy and immigration organ is reversing its drug
S1: decriminalization policy due to overdose deaths and public concern. I
S1: feel like 2024 is the year of like, the pendulum
S1: swinging back against a whole bunch of hyper liberal policies
S1: and attitudes. I just hope it doesn't swing too far
S1: and then, you know, then just keeps violent swings of
S1: the pendulum. It's just no good for anybody. California is
S1: proposing a bill to ban the homeless encampments near public spaces.
S1: Florida is experiencing a number of outbreaks of already beaten diseases. Basically,
S1: you've got people on the left and the right who
S1: are vaccine skeptics. They're not vaccinating their kids. And we're
S1: not hitting the numbers for herd immunity that are required
S1: for herd immunity. And people are getting diseases like the
S1: measles that that have been, like, already knocked out for
S1: decades or hundreds of years or whatever. And alcohol related
S1: deaths in the US jumped by nearly 30%, almost 500 daily.
S1: And a neurosurgeon is using ultrasound to tackle Alzheimer's and
S1: addiction with some really exciting results. Had a crazy idea
S1: in the idea section here. What if AGI powered robots?
S1: What if we get those before we get autonomous cars?
S1: What if it's actually easier to do AGI that is
S1: capable of like evaluating a situation? Maybe not. Maybe. Maybe
S1: they are the same thing, because the AGI that we
S1: will have built wouldn't be trained on car stuff, and
S1: Tesla stuff would still be the best ones anyway. It's
S1: just a possibility. It random thought. In other words, maybe
S1: it's easier to put a local GPT six level AI
S1: in a car and have it learn a whole bunch
S1: of stuff than to actually try to make the car autonomous.
S1: I don't know, like I said, it's a random thought
S1: and Sunday was 30 years with my love two piece
S1: Combee and Dune two was insanely good. I've already seen
S1: it twice. Going to see it again. All right. Discovery.
S1: My buddy Jason Haddix put out a sick episode of
S1: his newsletter called Executive Offense, and lots of prompt injection
S1: and other resources about hacking. I definitely want to go
S1: check that out and subscribe to his newsletter. Do literally anything.
S1: Great essay here. Caltrans has public data in CCTV, data
S1: in CSV, Json, text, XML formats. Got a deep dive
S1: into a git configuration here. How to get nmap to
S1: detect new services. How did this person decides if your
S1: website is worth a revisit? The internet feels fake now.
S1: Tyler Cohen shares his personal strategy around listening to music.
S1: I didn't agree with it, but I. I actually really
S1: enjoyed reading it. Apple's releasing Neuromancer as a ten episode
S1: series on Apple TV+. I definitely agree with somebody who
S1: said this. I can't remember if it was Scott Galloway,
S1: but Apple TV is basically basically become the new HBO.
S1: HBO got knocked out because they're calling it Macs now
S1: and nobody cares. And so now Apple TV is like fire,
S1: like it's doing so well, and it's basically become the
S1: new HBO. It's like if a show comes on to
S1: Apple TV, it's probably pretty good. Bad therapy argues modern
S1: therapeutic parenting is failing, leaving kids anxious and unprepared for life.
S1: Algorithmic thinking. I've ordered this thing. I've got the physical
S1: copy coming. I read the first one. Absolutely loved it.
S1: I was working at Apple. I actually remember I was
S1: talking to someone about it taking a walk, but absolutely
S1: love this book. And now it's version two or a
S1: second edition and it's got new chapters. Can't wait to
S1: read it. It's on the way, and spending ten minutes
S1: on something is 1% of your day. And I think
S1: that's assuming, like I forget how many hours, 16 hours
S1: a week. They have some assumptions in there and the
S1: recommendation of the week. Ask yourself if you're primarily a nurturer,
S1: a creator or a worker, because it's my belief that
S1: creators are nurturers. And this goes back to the essay, um,
S1: people that help nurtures are basically people that help creators
S1: or nurtures grow up and and become, uh, fruitful. So
S1: it's basically parents or nurturers. Um, artists are creators, entrepreneurs
S1: are creators, therapists are nurturers, etc. and I think that
S1: creators are nurturers are the roles that will be most
S1: resilient to AI, and they're also the most human roles
S1: that they're what we should be doing anyway. We shouldn't
S1: be like moving paperwork around and tilling fields and all
S1: this crap. Try to get this is my recommendation. Try
S1: to get out of the worker mentality. My family is Lutheran, right?
S1: Hard work. My dad always instilled this into me. Like
S1: your reputation is based on the work that you do.
S1: So like I get this and I feel it deeply
S1: and I think hard work is noble and honorable 100%.
S1: But we were handed arbitrary jobs just because of the
S1: the escalation of tech through our lives. Right? When there's
S1: no clean water, you know, a lot of the work
S1: is trying to get clean water when there's no food.
S1: A lot of the work is trying to get food.
S1: Like all those things get phased out as the tech
S1: gets better. And that's what we're about to go through. Again,
S1: an AI is going to be doing most of the
S1: old worker style jobs better, so we have to start
S1: planning our migration to a creator and a nurturer style economy.
S1: And we're all going to be hybrids for for a
S1: long time, but you want to try to migrate to
S1: that as soon as possible. And until the people that
S1: you care about to try to do the same and
S1: the optimism for the week along those lines, the end
S1: of labor is to gain leisure. Aristotle. Unsupervised Learning is
S1: produced and edited by Daniel Miller on a Norman 87
S1: AI microphone using Hindenburg. Intro and outro music is by
S1: zombie with the Y, and to get the text and
S1: links from this episode, sign up for the newsletter version
S1: of the show at Daniel missler.com/newsletter. We'll see you next time.