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 Miessler, and I'm building
S1: AI to upgrade humans. This is episode 458 of the
S1: podcast Unsupervised Learning. And let's jump into it. So just
S1: created my first fabric stitch, which is a combination of
S1: fabric things all piped into each other to produce a result.
S1: In this case, the name of the stitch is called
S1: rate AI result, and it's actually running a pattern called
S1: rate AI result as well. But what it is doing,
S1: I will just click over there real quick. What it
S1: is doing is actually see here it is actually using
S1: a smart AI to rate a less smart I. So
S1: this is the infrastructure that it's using. I'm actually going
S1: to do a full write up on this. Well this
S1: is the full write up. But I'm going to do
S1: a standalone video on this. So you don't have to
S1: necessarily worry about not getting everything here. So basically you
S1: have your smartest AI on top. It's judging the judged
S1: AI and the input and the prompt that it's given
S1: and it's producing a result. Then you take the input,
S1: the prompt and the results, and you send all of
S1: that to the smarter AI, which is the judge. And
S1: then what it does is it gives you an output
S1: like this. It tells you is this at the level
S1: of an uneducated human, a secondary, educated human, high school level, bachelor's, master's, PhD,
S1: world class, human or superhuman. And it's giving you that
S1: rating for whatever that task is. What's cool is that
S1: this is universal. So it's not a just a summarization
S1: one or just a threat modeling one. It looks at
S1: the task that you've given it, and it looks at
S1: the input, and it looks at the output, and it
S1: judges universally for any task that you've given it for
S1: any particular AI. It's basically saying that somebody at this
S1: level would have been able to do it about that. Good.
S1: So that was pretty exciting. I'm happy with the results
S1: so far. Look forward to anyone being able to improve it. Okay. Um,
S1: let's see here. Going back to the podcast. Yeah, I'm
S1: going to be sending out the newsletter from newsletter at
S1: Unsupervised learning.com instead of Daniel at Daniel. Com so just
S1: go ahead and add newsletter at Unsupervised learning.com to your
S1: contact list just so it won't get forwarded to a
S1: bad folder. And I'm entering the fiber world. This is
S1: pretty exciting. Upgraded to five gigabit fiber to the house.
S1: And so I'm doing a whole bunch of stuff with, uh,
S1: ten Gigabit Ethernet. So you got to do a bunch
S1: of stuff on your switching, right? Because if you just
S1: have it coming into the house, it doesn't mean it's
S1: going to make it to your computer. So you have
S1: your switches and your firewalls and your wall wiring, and
S1: all the way to your device has to be able
S1: to support that faster speed. So ten gigabit is pretty
S1: much what most consumer hardware can go up to now.
S1: The Mac studio that I use actually already has ten
S1: gigabit in it. And for something else you can get,
S1: like if it has USB and it's fairly modern, you
S1: can get like a USB connector, like USB-C connector that
S1: is actually a ten gigabit, uh, translator. So to be
S1: able to handle that, ten gigabit, even if your Nic
S1: card natively built into the system cannot. But anyway, here's
S1: what I'm getting down and up now, basically 4.6 gigabit.
S1: So it's supposed to be five. I'm going to try
S1: to get it up to five. But uh, 4600 is
S1: not bad at all. And I'm going to keep upgrading
S1: stuff like in the walls and different switches and stuff
S1: like that and see how fast we can go. And
S1: had a great sponsor conversation with my best bud, Jason
S1: Haddox with flare. We talked about a whole bunch of stuff,
S1: but especially why he likes flare and why he thinks
S1: it's the best out there for threat intelligence. So definitely
S1: go check that video out and let's jump into security.
S1: So six critical flaws have been found in Olama AI framework,
S1: potentially allowing denial of service or model theft or poisoning attacks.
S1: And remember, don't put your olama online. A lot of
S1: people know that you can olama natively. It publishes APIs
S1: so you can call the different models that you create.
S1: So if you go get a model from hugging face
S1: and you put it in a llama and you spin
S1: it up, well, now there's an API that can listen
S1: and answer requests, and you could do some cool stuff there,
S1: but do not make that public unless you really, really
S1: know what you're doing and you have auth and all
S1: that kind of stuff because it could be bad as
S1: we see here, we actually have vulnerabilities here. FBI is
S1: warning about a rise in hacked police emails being used
S1: to send fake subpoenas and emergency data requests. That's the
S1: trick one, right? Emergency data requests. So it looks like
S1: it's coming from a reputable place that has authority, like
S1: a police department. So of course you're going to turn
S1: over the data, right? I think this is a pretty
S1: nasty general attack here, which is you find a low
S1: security organization that's like understaffed in cyber, like a police department.
S1: Then you send emails from the police department to a
S1: place that you want to get data from, and then
S1: they turn it over thinking that they have to. So
S1: I think this is a general thing, and I think
S1: police departments, also law firms, might be likely to respond
S1: to this, although maybe they'll be smarter about asking more
S1: questions anyway. I think it's a general interesting type of attack.
S1: Google's AI security assessment tool, Bigsleep, found a zero day
S1: vulnerability in SQLite, and it's the first time we've really seen.
S1: I find something that in production software that hasn't been
S1: found via another method. Right. Because they've done fuzzing on
S1: this thing or fuzzing has been done on this thing,
S1: I'm sure, many times. And this is a good example
S1: of a AI actually finding something. So I mean, I
S1: always thought that this was inevitable. I still think it's
S1: inevitable that this is going to become like the main
S1: way of finding things. But yeah, Google found it in
S1: the real world. FBI is asking for public help in
S1: identifying Chinese hacker, uh, hackers in groups like apt 31
S1: and APT. 41. CrowdStrike has launched a new AI Red
S1: team service to identify vulnerabilities in AI systems. So they've
S1: spun up an AI security consultancy. Kind of strange inside
S1: of CrowdStrike itself, which does endpoint protection, Synology is telling
S1: its users to patch a critical zero click RC bug
S1: affecting millions of disk, station and Photos NAS devices. Why
S1: are the NAS devices online? Friends don't friend. Friends don't
S1: let friends put NAS devices online. It is really nasty.
S1: It's like the worst thing you could put online. Not
S1: because they're the most vulnerable, which they are quite vulnerable
S1: as we've seen. But that's not the real reason. The
S1: real reason is it's a combination of how vulnerable is
S1: it versus how sensitive is it a NAS network attached,
S1: attached storage? It tends to have lots of really sensitive
S1: stuff in it. So you need to be really careful
S1: with what you do with that thing. And putting it
S1: on online is not really careful. All right. Nokia is
S1: investigating potential breach after a hacker Intel broker claimed to
S1: have stolen their source code from a third party vendor.
S1: Canada has ordered TikTok Technology Canada to shut down for
S1: national security reasons, but doesn't actually block Canadians from using TikTok,
S1: which is what I think most people think when they
S1: see this story. It's actually just shutting down the Canadian
S1: business operations. Researchers from GMU, George Mason University, have introduced
S1: Mantis framework that uses prompt injections to hack back against
S1: prompt injection. I'm not usually a fan of hack back stuff,
S1: but I do like the exploration here. US is tightening
S1: rules on foreign real estate deals near military bases, adding
S1: 60 more installations to the list. And this is after
S1: basically the military found China buying a whole bunch of
S1: land around military bases to do crypto mining. And they're like, uh,
S1: I don't think we like this. So there's now laws
S1: in place to stop them from doing that. In some cases,
S1: AI and tech robotic dogs are now patrolling Mar-A-Lago to
S1: help protect president elect Trump. These high tech hounds are
S1: part of the Astro program equipped with surveillance tech and sensors.
S1: So if we open that one up. Yeah. Look at
S1: these things. This is just like the Black Mirror episode.
S1: Look at that. Scary little things. Now, if it's just
S1: one and you're like, oh, there's probably dumb. It's only 2024.
S1: What happens when it's 2026 and it's got guns on it?
S1: And what happens when it's not one, but it's like
S1: 700 and you could just like point a laser pointer
S1: on something and be like, get em. And they just
S1: swarm and start firing. Sounds like sci fi. It's not
S1: really going to be sci fi. And China is crushing
S1: in the drone market. They're building these things so fast.
S1: They're really good at them. Look at DJI. Its number
S1: one drone company in the world, at least on the
S1: consumer side. So this is something we have to watch. Yeah.
S1: What I said here is 2025 and 2026 are going
S1: to become some serious utopia slash dystopia years. Lots of
S1: sci fi happening except for in actual reality, Nvidia surpassed
S1: Apple to become the world's largest company by market cap
S1: 3.43 trillion. And that might have gone up or down.
S1: Since that was written, OpenAI has introduced new feature called
S1: predicted outputs lets you send expected content to speed up
S1: API responses. I like this stuff similar to the caching stuff.
S1: I like the little tweaks that are helping you day
S1: to day, especially save some money. Waymo has launched its
S1: robotaxi service across 80 square mile area in and around
S1: Los Angeles. What is going on? Why can't we have
S1: this for the whole Bay area? They did San Francisco
S1: and they just left. Come on, we need it for
S1: the whole Bay area. Apple's adding a new feature to
S1: find my in iOS 8.2. So basically if you lose
S1: your bag or your bag, your luggage doesn't get to
S1: your destination in some foreign country, you can actually send
S1: an AirTag for your bag to the airline so the
S1: airline can actually find it inside the airport. I think
S1: that's super cool. Apple Vision Pro. Vision Pro's Vision OS 2.2. Yeah.
S1: Look at this thing.
S2: The full size scopes with everything else. It's like having
S2: a two monitor set up. Look at this. Better create
S2: a lot more space for those in my I've used
S2: this here. Almost have a full size video and a
S2: full size scopes with everything else. It's like having a
S2: two monitor set up, but better. So let's take this
S2: to the logical extreme and go ultra wide. Look at that.
S1: Wow, it's bent around you.
S2: This is kind of amazing. Actually. I don't know that
S2: using completely crazy.
S1: Completely crazy. And actually the ultra one is too large.
S1: Excuse me? You can't actually, you can't actually look at
S1: this thing. You have to turn your head all the
S1: way around it. So just the the bigger one, like
S1: the middle one is actually the one that I use.
S1: And they've made it so that it's not always in
S1: focus wherever you, wherever for the whole screen, because that
S1: would be too difficult. Right. So what happens is when
S1: wherever you move your eyes, it comes into crystal clear focus.
S1: And I'm looking at a really high quality monitor right now.
S1: Actually it's the Apple monitor. It looks just as good
S1: as that. It really does. It looks just as good
S1: as like the six K Apple monitor once you focus
S1: on it. Because I mean it's it's sending light right
S1: into your eye. Right. So it's pretty good at it.
S1: And it's crazy how fast it is too. Because when
S1: you're moving your eyes around very quickly, first of all,
S1: it knows exactly where you're looking. And it just takes
S1: that spot and just crystallizes it. Really, really cool. It's
S1: like it's like the most practical thing that I've done
S1: actually with the Vision Pro, because mostly it's entertainment and
S1: like playing with different apps. But this is the killer
S1: app I've been waiting for. Is productivity an actual super
S1: wide screen? TSMC is opening up its fab in Arizona
S1: in December, So that's going to be cool for Onshoring
S1: in the US. TSMC is halting the supply of advanced
S1: AI processors to Chinese clients starting in November. Well, already
S1: happened a couple of days ago following an investigation showing
S1: chips were ending up in Huawei devices. Humans dollars at
S1: its highest point in two years. Stock market going crazy. Uh, yeah.
S1: Bitcoin over 90,000. Yeah, I did predict that Trump was
S1: going to win and that investors were going to go crazy,
S1: but I didn't think it was going to be this
S1: crazy and this soon. Andreessen Horowitz is backing AI powered
S1: parenting tools, with Justine Moore highlighting she's a partner on
S1: this thing. New wave of parenting co-pilots I like this,
S1: I like this, so my kid is doing this. What
S1: should I do? And what I like about that is like, okay,
S1: what would a helicopter parent do? What is like an
S1: eastern way of doing this? What's a European way of
S1: doing this. What is a modern US West Coast way
S1: of doing this? So it's like you're hearing a bunch
S1: of experts because nobody really knows how to raise kids, right?
S1: It's very, very customized. Very there's not a perfect one
S1: way to do it. Right. So I don't have kids,
S1: but if I did, I would want to know, what
S1: do the people who tend to raise the best kids,
S1: what is their long term cultural way of handling this
S1: particular problem? And AI is amazing for that. So that
S1: seems pretty, uh, pretty cool. My buddies participating in a
S1: real life bug bounty. Actually, it's actually a treasure hunt,
S1: which is very similar to a bug bounty. So my buddy,
S1: he's been going out to an island, and he's meeting
S1: his other top bug bounty friend out there, and they're
S1: actually looking for treasure. The treasure is worth half $1 million.
S1: And this book that's coming out, I think it's already out, actually, um,
S1: I'm going to click on this book. Yeah. It's called
S1: There's Treasure Inside. Okay. So it's all about this person
S1: who's launching these treasure hunts with tons, like millions of
S1: dollars of prizes. And they're really hard to find. And
S1: you have to travel there and you have to follow clues.
S1: It's like puzzles. And I was talking to my buddy
S1: about this, and it's like it's very similar to Bug Bounty,
S1: where it's like, there's this joy of, you're the first
S1: one to find this thing, and you get paid money
S1: as a result of finding it. It's like very it like,
S1: revives your childhood to be chasing something in this way.
S1: So I think it's really cool. And he agreed with
S1: that assessment. Genetic discrimination becoming a real thing as we
S1: knew it would. Insurers use DNA data to deny coverage
S1: or to raise prices. So this guy, Bill, who was
S1: a healthy 60 year old, was denied long term care
S1: insurance after he submitted his genetic stuff and it found
S1: a genetic mutation linked to ALS. So he didn't have
S1: the disease, but they were like, yeah, you can't get
S1: this coverage because your genetics say you might get it.
S1: Companies are already moving production out of China as Trump
S1: plans massive tariffs. So Steve Madden cutting China made products
S1: by 40 to 45%, shifting to Vietnam and Cambodia. Stanley
S1: Black and Decker reworking its supply chain and H&M manufacturing.
S1: And crews are eyeing increased U.S. production. Seems like the
S1: tariffs could work in multiple ways. It definitely has a deterrent.
S1: The way I'm excited about it is people wanted to
S1: move to us onshoring, or they wanted to move out
S1: of China or whatever, which everyone in the West kind
S1: of wants to, but they're like, it's just too we
S1: can't do it yet. We can't do it yet. I
S1: want to do it, but I can't do it yet.
S1: And this just pushes people. It pushes people to be like, okay, well,
S1: now I might as well because I'm going to I
S1: might get charged all this money to, to have to
S1: use China. So now it might actually be worth the
S1: money to switch. So hopefully the new administration doesn't go
S1: crazy with this because it actually will cause inflation because
S1: it'll just be more expensive for everyone to buy things.
S1: And Elon talked about this recently and he's like, you
S1: can't do too many of these and you can't do
S1: them too quickly or you will break things. So you
S1: have to be careful with them. But just the idea
S1: of being out there, I think is going to have
S1: the effect that they actually want. NASA's Juno spacecraft just
S1: completed 66th flyby of Jupiter, sending back stunning images. Look
S1: at this stuff. This is crazy. Look at these. That's ridiculous.
S1: Isn't that gorgeous? Is that the spot or is that
S1: just a different spot? I thought the spot was red. Well,
S1: these are different colors anyway. But look at that. Isn't
S1: that amazing? Look at this. These are all storms. Yeah.
S1: Just gorgeous. Man, I love astronomy. Yeah, that's. These are
S1: all spots. But I don't think. I don't think maybe
S1: these are the big red spot. In this case, blue spot.
S1: But that's definitely not it. That's a different one. Yeah,
S1: really cool DNA Dikmen's Leaving and Waving is a brilliant
S1: and touching photo series capturing her parents waving goodbye over
S1: the years. Look at this thing. Look at this. Isn't
S1: this cool? All these captures of them waving goodbye. And
S1: presumably this is like, while she's growing up. Oh, look
S1: at that. Switches from black and white to color. Yeah, really,
S1: really cool. I love this kind of stuff. New study
S1: from Ben-Gurion University shows that controlling blood sugar can slow
S1: brain aging. Yeah, sugar, inflammation, brain aging. These are getting
S1: more and more linked. And yeah, the science here is
S1: is getting pretty solid. Astrobiologist Sara Imari Walker explores the
S1: complex questions of what life truly is in her book,
S1: Life as No One Knows It physics of Life's emergence.
S1: This is on my list might be a candidate for
S1: the UL Book Club as well. She says that modern
S1: science is yet to develop a theory that fully integrates
S1: life into the universe's description. Yeah, I love this life
S1: emergent stuff. A mom in Georgia was jailed after her
S1: 11 year old son walked alone to town, despite the
S1: fact that she was doing this on purpose because she
S1: believes in free range upbringing. I'd love for this libertarian
S1: mindset of like, yeah, just leave me alone to manage
S1: whatever to actually come to these places, right? Because here
S1: they are in Georgia, which should be libertarian, right? And no,
S1: she went to jail. The mom went to jail. I mean,
S1: I grew up in the 80s. I used to walk
S1: around all over the place. I could ride my bike anywhere.
S1: I just had to be back before the streetlights came on.
S1: Or you get your ass whipped. I mean, that's that's
S1: that's the way it's supposed to work. Not really. You
S1: would get in trouble. Our average age of US home
S1: buyers jumped to 56. 56 years old for an average
S1: home buyer. It was 49. This needs to be, like 29.
S1: What is going on? 56 that is way too old.
S1: Oliver Sacks explores the meaning of life through love and
S1: despair in his letters, emphasizing that meaning is something we create,
S1: not find. Marginalien. This is Maria Popova project. Really, really
S1: cool and this is a great write up here. Excuse me. Ideas.
S1: Crypto is back, but it's mostly as gambling and money stores,
S1: and not so much on what it was promising with
S1: like Ethereum. Although maybe Solana might be still like an
S1: Ethereum type vibe. It's basically like fast Ethereum. And I
S1: got a prediction here about this whole election thing, which
S1: I'm purposely not talking too much about right now. I
S1: actually think a lot of good can come from the
S1: whole Elon Andreessen, Thiel, Trump, uh, Vivek Ramaswamy, like all
S1: this stuff. I think all this stuff could go horribly bad.
S1: I voted for Harris, by the way, because of election
S1: denial essentially is the main reason um, wasn't happy with
S1: Harris or the campaign or anything like that, but I yeah, anyway,
S1: I'm not going to go into that too much. The
S1: point is, now that this has happened, I'm trying to
S1: be optimistic. I see no alternative other than being optimistic.
S1: And I believe that a lot of these people Thiel,
S1: Elon Andreessen, um, Rogan these are Bernie loving people. These
S1: are populists. These are long time liberals. Trump is a
S1: long time liberal. Trump is a previous Democrat, been a
S1: Democrat his whole life. And he switched over. In my opinion,
S1: a lot of these people switched over and kind of
S1: like got triggered and went crazy because of the crazy left.
S1: So my hope is and this is wishful thinking, I
S1: understand that. My hope is we're going to see a
S1: lot of good come out of these folks. Hopefully. Okay.
S1: So watch this reduction of government, this whole dodge thing.
S1: It's kind of a gimmick, but I think they might
S1: actually do some cool stuff with it. Like, what if
S1: a whole lot more of our money that we were
S1: spending in taxes? What if that became 50% more effective
S1: or 25% more effective, or 75% more effective? I think
S1: we could have maybe clean streets, maybe nice roads, fewer potholes,
S1: actual infrastructure get built. My hope and my belief, optimistic
S1: belief is that these people, including possibly even Trump, are
S1: actually trying to raise the bottom. They are actually actually
S1: trying to raise everyone, not just their friends. There's no
S1: question that a lot of their decisions are very selfish
S1: and very focused on their business and very opportunistic. No question.
S1: Everyone knows that. I mean, that's most people do that.
S1: The question is the balance between these things. So my
S1: thing is, if they're sitting on a razor's edge somewhere
S1: in the middle or the middle, right? And they could
S1: become crazy, right? People, or they could fall back towards
S1: the center and actually be positive and try to lift everyone.
S1: And a lot of these AI people, they're trying to
S1: create free abundance. Okay. Free shelter, free food, not free,
S1: but very, very cheap. Okay. Easy to make very, very
S1: cheap things. Why? Because of AGI? Because of ASI. Because
S1: a lot of these things have the ability to remove
S1: how expensive it is for the whole world to have
S1: what the best people in the world have. Right? Um, so,
S1: so basically you have like the best health care, right?
S1: The best, um, the best education. So you have Harvard education,
S1: you have the best health care policy you could possibly have,
S1: like Kaiser or whatever you have, um, PPO or something
S1: like that. The best of everything. Why can't everyone have that?
S1: Why is only why do only a few people go
S1: to Stanford or Harvard? Right? So the promise of this
S1: AI stuff is to be able to give that education
S1: to everyone via like an AI agent, something that's always
S1: with you. Abundant energy. Right. Not having these wars over
S1: oil because they're solar farms everywhere. And we already have
S1: enough energy. It's done. Solved problem. I helped us with that.
S1: AGI helped us. Maybe ASI helped us. Doesn't matter. The
S1: point is, you never have to need something. Okay, now,
S1: now we have a meaning crisis. We're going to have
S1: to figure out what we're actually going to do with
S1: ourselves after that. But the point is, I think a
S1: lot of these people are actually going for that better future.
S1: A lot of these people, I think, are actually going
S1: for the Star Trek The Next Generation model, which is
S1: what I'm going after. And again, maybe it's about to
S1: get really bad because it's going to go full authoritarian.
S1: It's going to go full fascist. Maybe it will, and
S1: I'm very worried that it will. Okay. It's very possible
S1: that they got triggered and they're never coming back. Okay.
S1: I actually talked to Sam Harris about this. Um, and
S1: I'm not going to say anything that he said that
S1: he didn't say in his podcast, but I responded to
S1: him after he did that reckoning podcast. And, um, he
S1: basically said, I think they're gone in the podcast. I
S1: think they're gone and it's going to get really bad.
S1: And so I challenged him on that with basically this argument,
S1: and he thinks I'm wrong. He is my favorite thinker.
S1: He is the smartest person I believe out there right
S1: now in terms of like his ability to see things
S1: and articulate them. He's just like God tier to me, um,
S1: always has been. I feel like I've caught up in
S1: a lot of ways, but he still sees things extremely clearly,
S1: and the fact that he doesn't believe me is troubling
S1: to me. I actually can't find anyone who believes me
S1: about this particular thing. They're like, oh, so are you
S1: going right with them? I'm like, no, I'm staying where
S1: I'm staying. I am a Star Trek Next Generation liberal.
S1: This is where I'm going to be. But I do
S1: believe in conservative methods of achieving liberal goals. Okay. So
S1: I'm trying to find optimism here. And here's what I'm
S1: offering to you. Here's what I'm asking of you. If
S1: you are like me and you were in this liberal center,
S1: so you've moved away from the left because they're crazy,
S1: you're not going to the right because they're crazy. You're
S1: here in this, this first principles. Think through the problem
S1: situation in the center somewhere. I'm asking you to consider
S1: that these people might actually be trying to be doing
S1: good things. And I think this comes down to what
S1: I think a big problem in our politics is right
S1: now is assuming the absolute worst, assuming that they are going,
S1: they're just sitting somewhere right now doing Mr. Burns like, conniving, like,
S1: how can we ruin the entire bottom 90%? We're just
S1: going to make this amazing world for the top 10%
S1: of all our friends. And it's just going to be rich.
S1: People rule everything, and we're going to do, you know, eugenics.
S1: And it's just I don't think they're trying to do that,
S1: I really don't. I think they're capable of doing that.
S1: Especially Trump is capable of doing that if pushed in
S1: the wrong way. If ego gets involved, like we've already
S1: seen him do some horrific stuff and very stupid stuff.
S1: Bottom line, I'm trying to be optimistic, and I'm asking
S1: you to consider trying to be so as well. It's
S1: it discovery. Security is a useless controls problem. This is
S1: a must read. You got to read this thing even
S1: if you don't. You don't agree. Chain forge, open source
S1: visual programming tool. This is like Yahoo pipes for running
S1: evaluations against prompts. Have it messed with this fully. In fact,
S1: I'm going to open another tab. But from what I
S1: looked at before, uh, looks pretty cool. And I love
S1: the Yahoo pipes like design mechanism. How do you run
S1: away from an army of these? Yeah. You don't watch
S1: this thing. Look at this thing. Dir. Dir. Dir. This
S1: is exactly like the Black Mirror episode. Except for this
S1: thing is faster and scarier. Okay, it could do backflips.
S1: Not scary at all. Yep. So just imagine you're a soldier.
S1: You went through basic training. Some eight. You did some.
S1: What's it called? You go out and you see, like
S1: over the mountain. You just see thousands of these things
S1: pour over, except for they're bigger with bigger muscles, bigger
S1: battery packs. Oh, and they got guns. Cool, cool. It's
S1: gonna be a problem, I'm telling you. I just put
S1: it on. Uh, x the other day. We really need
S1: to be thinking about Anti-drone stuff. And there's a company
S1: called Anduril. Andrill not sure how to pronounce it, but
S1: they are definitely thinking a lot of drone stuff. Um,
S1: some people sent me some links saying the Navy's thinking
S1: about this, because here's the problem. F-35s, carrier fleets, aircraft
S1: carriers themselves, they're very vulnerable to being swarmed by small drones,
S1: especially autonomous drones. That can't be, like, jammed. A very
S1: serious problem to worry about. And by the way, I
S1: keep recommending this book. It's called Kill Decision by Daniel Suarez.
S1: Definitely want to check that out. Um, he basically talks
S1: about a lot of the stuff in sort of a
S1: fiction sense, but it gives you a vibe for why
S1: it's pretty scary. Toolkit smart name set of scripts that
S1: allow new sub commands to get. I cluster using Mac
S1: Minis and XO labs. This is probably what I'm going
S1: to build my next AI rig on. Maybe. Maybe it
S1: depends how the whole game is. But uh, yeah, you
S1: could do like Thunderbolt five and connect these things together.
S1: Then you use this project called XO labs and it
S1: actually links them all together. How I ship products at
S1: Big Tech companies. Diagrams tool for creating diagrams as code.
S1: Everything I've learned so far about running local LMS, Patrick
S1: or no, I keep wanting to say the author, but
S1: Patrick McCormick encourages readers to spend less time doomscrolling and
S1: more time reading books, drawing audio. New musical sketchpad using
S1: web audio API. Create music directly in your browser. Recommendation
S1: of the week. The CEO of anthropic thinks AGI is
S1: coming within a couple of years. Sam Altman thinks it's
S1: 25 or 26. I've already said it was 25 to 26.
S1: I said that in 2003. So these numbers are probably
S1: getting real. Of course, it does depend on your definition,
S1: but my recommendation to you, given that AGI is coming,
S1: start getting ready. Know your life mission. Know your goals.
S1: Fill in in practice your most important sentence. Which is
S1: this right here. I believe one of the biggest problems
S1: in the world is X, which is why I'm building,
S1: creating or doing Y. So fill in that sentence for yourself.
S1: Start building your telos file. Get really good with your
S1: AI tools like fabric ChatGPT whatever you're using. Get your
S1: website up. Commit to reading 50 books in 2025 and
S1: hit me up if you need book recommendations. And most importantly,
S1: start writing. Even if you think you don't have anything
S1: to say. Once you start reading this many books, you're
S1: going to have something to say, especially if you have
S1: your Telos file up. You know your goals. You know
S1: your life mission. It's going to be like a particle accelerator.
S1: Things are going to smash into your brain. Ideas are
S1: just going to start flying off, and then you just
S1: start writing online and you're like, hey, wouldn't it be
S1: cool if this hey, what about this? Someone's like, hey,
S1: that's stupid. This is why it's stupid. You're like, oh,
S1: that's true. Yeah. Good point. Pretty soon you're learning publicly,
S1: live in real time and you can just build a
S1: lot of new intelligence based on that. And the aphorism
S1: of the week, if you were offered $1 million not
S1: to wake up tomorrow, you would not take it. Which
S1: means waking up tomorrow is worth more than $1 million.
S1: So treat it that way. If you were offered $1
S1: million not to wake up tomorrow, you would not take it.
S1: Which means waking up tomorrow is worth more than $1 million.
S1: So treat it that way. See you next time. Unsupervised
S1: learning is produced and edited by Daniel Miessler on a
S1: Neumann U87 AI microphone using Hindenburg. Intro and outro music
S1: is by zombie with a Y. And to get the
S1: text and links from this episode, sign up for the
S1: newsletter version of the show at Daniel miessler.com/newsletter. We'll see
S1: you next time.