S1: Unsupervised Learning is a podcast about trends and ideas in cybersecurity,
S1: national security, AI, technology and society, and how best to
S1: upgrade ourselves to be ready for what's coming. All right.
S1: Welcome to unsupervised Learning. This is Daniel. All right. Episode 465.
S1: What do we have? So I spent like 20 hours
S1: over the past few weeks updating my homepage about page projects, Telos,
S1: a whole bunch of different stuff. Uh, predictions page, just
S1: a lot of new content on the website, which is
S1: a completely new looking website. Basically, the website was all
S1: on beehive, and now it's back in its natural home
S1: at regular. Daniel Mysa.com and the newsletters on newsletter.com. So yeah,
S1: go check that out. Highly recommend checking out two podcast episodes.
S1: I've been absolutely loving Dan Carlin on Alexander the Great. I'm. Yeah.
S1: I just love it. I'm so happy that he's back.
S1: I thought he actually got out of the game or
S1: retired or something, but this thing has from like June
S1: of 2024, so it's good news that he's back. I
S1: absolutely love getting history in this sort of way. He's
S1: describing history. It's also mostly biography based. I just love
S1: the whole thing. It's great. And I just listened to
S1: the acquired episode on TSMC and it made me buy
S1: more of their stock. I tend to buy stock from
S1: companies that they talk about, um, namely Costco and now TSMC. But, uh, yeah, really,
S1: really good episode. And my buddy Joseph Thacker has gone independent.
S1: So happy for him about this. He's now a full
S1: time bug bounty hacker and entrepreneur, and I really can't
S1: wait to see what he does this year in 25 security.
S1: So new research shows that the average employee creates a
S1: new SAS account every two Two weeks, which is creating
S1: massive security blind spots for companies. If I click on
S1: this link, um, yeah, it's pretty bad. It's pretty bad. Uh,
S1: definitely recommend checking this out if you are into app security,
S1: enterprise security, that kind of stuff. Uh, a lot of
S1: this data comes from the new, um, Verizon Dbir report
S1: found web applications were involved in 50% of security incidents,
S1: and 80% of breaches now involve compromised SaaS credentials. And
S1: that's according to CrowdStrike. Google just shared how they handle
S1: threat detection at a massive scale. They're doing some wild
S1: stuff around automation and response time. So standard response time
S1: is like days or weeks. And they're now doing it
S1: in just hours. And they're automating automating 97% of their
S1: detection work. So you got to imagine how much that
S1: actually is at Google. Microsoft's AI Red team published their
S1: findings from attacking over 100 AI I products. Sharing key
S1: lessons for identifying risks and vulnerabilities. Most interesting insight is
S1: that basic techniques like prompt injection usually work better than
S1: complex attacks. It makes sense. I mean, it is the
S1: main attack. In my opinion. Prompt injection is the thing
S1: that kind of makes this different than other types of security,
S1: because otherwise we're mostly talking about API security. When we're
S1: talking about AI security, it's threat modeling the entire data
S1: flow from the ingress point all the way to the
S1: different places it could be stored for, like second order attacks.
S1: And all of that is kind of similar. The thing
S1: that makes it different is like English being the language
S1: of attack and the fact that you could trick a
S1: Semi-intelligent processor, right? So parsers have always been vulnerable, but
S1: it's even more vulnerable now because you can trick it, right?
S1: It's a different kind of tricking. You could trick it
S1: using logic and stories and stuff like that. You could
S1: always trick passers, and that's kind of the game in security.
S1: But the types of attacks that you can do now are,
S1: are broader and more powerful with prompt injection. So I
S1: think that's the main avenue which which seems like it's
S1: what they found as well. Basic techniques like prompt injection
S1: work even better than complex attacks. Not quite the same point,
S1: but related. And DJI just announced that they're removing all
S1: geofencing restrictions from their drones in the US, which means
S1: you can technically now fly them anywhere, including airports, wildfires.
S1: Which one took down one of those big, uh, water
S1: planes and the white House? This can't be right. Like,
S1: how is this not going to get them TikTok? And
S1: by TikTok, I don't mean turned off for one day
S1: and turn back on. I mean, serious trouble. The new administration,
S1: along with Larry Ellison, Sam Altman and Masayoshi Son, launched
S1: a new AI project called Stargate, basically a new company
S1: and a $500 Billion dollar investment. That's half $1 trillion
S1: designed to make sure the US wins the AI war
S1: versus China. And the Pentagon is now using AI from
S1: companies like OpenAI and anthropic to help identify and assess
S1: threats faster. But supposedly they're being careful to keep humans
S1: in control of actual weapons for now. And Rachel Toback
S1: posted that it was her pleasure serving on the Cisa
S1: Technical Advisory Council, which has now officially been shut down.
S1: Trump dissolves the advisory committees, which is exactly what she
S1: was on, and that's now been shut down. And AI powered.
S1: Brad Pitt scam costs a woman £830,000, which I don't
S1: know how much that is in real money, but I
S1: think pretty close to $1 million might be over $1 million.
S1: It's something around there, and it was basically someone claiming
S1: to be Brad Pitt in a hospital, and you could
S1: see the AI. It wasn't super convincing, but things are
S1: a lot more convincing when you are lonely. Trump killed
S1: Biden's main AI safety executive order from 2023 that required
S1: companies like OpenAI to share safety test results with the government.
S1: And then he launched Stargate, which is about moving fast
S1: to beat China. So essentially that order was about moving
S1: slower and more carefully. And Stargate is about moving as
S1: fast as possible. And I'm pretty happy with this, actually, because,
S1: I mean, I'm worried about AI moving fast no matter what,
S1: but I'm more worried about AI in China moving fast
S1: while AI in the US moves slow. So that's where
S1: the priority is for me. NATO has launched Operation Baltic Sentry,
S1: putting 20 autonomous boats in the Baltic Sea to protect
S1: undersea cables from Russian sabotage. I think this is excellent.
S1: But 2020 drones in the Baltic Sea. How much area
S1: do you have to cover? I imagine you can cover
S1: a lot because you can use radar above, Of a
S1: sonar below. I imagine they have lots of different ways
S1: to cover a lot of ground. I'm just saying it's
S1: a small number of boats and very large body of water. Palmer.
S1: Lucky's defense tech company. Andrew. Andrew. I'm going to call it.
S1: Andrew is building a massive 5,000,000 square foot weapons factory
S1: in Columbus, Ohio called Arsenal one, dropping close to $1
S1: billion of their own money on this thing. I and
S1: tech companies are using your data to charge you more.
S1: FTC just released data showing companies are using your location, demographics,
S1: and even mouse movements to charge you different prices for
S1: the same products. Trump just announced Stargate. We already talked
S1: about that one. Perplexity just launched an API that lets
S1: developers build their real time AI search capabilities into their
S1: own apps. I'm already using this, so I'm not sure
S1: exactly if this is sonar that I was already using before,
S1: and they just now launched it. Not sure about that,
S1: but it is pretty cool because you're getting live data, right?
S1: It's not just an API call to a static database,
S1: or it's not just an API call to an LLM.
S1: It's the combination of a search engine with an LLM,
S1: with live data queries on top of it. So quite
S1: quite useful. Transformer two introduces Self-adapting language models. Sakana I
S1: just released a new approach that lets language models dynamically
S1: adjust their weights in real time based on the tasks
S1: that they're working on. TSMC has officially started making four
S1: nanometer chips at their new Arizona plant, which is a
S1: massive win for the US semiconductor manufacturing. I wonder how
S1: many people are thinking that Arizona is like plan A
S1: if China takes Taiwan? I love the fact that we
S1: are in this position. I mean, it would be horrific
S1: if this happened because it would still massively disrupt for
S1: years and years. It would massively disrupt chip production and
S1: basically technology production worldwide. If we were to lose the
S1: TSMC plant in Taiwan, like, it's not a easy hot swap.
S1: First of all, four nanometer is like old tech, and
S1: TSMC has been talking for a long time about how
S1: the staff in Arizona is nowhere near as good as
S1: the staff in in Taiwan. The tech isn't as good.
S1: It's not as as modern of a facility. It's like
S1: way behind. But but if China basically takes this piece
S1: off the board for the West, which is what Taiwan
S1: is and what the US is and what you know,
S1: the West is, if they were to take that off
S1: the board, it would be nice to be able to
S1: put a piece back on the board and do it
S1: inside of Arizona, inside of the US. That would be wonderful. And,
S1: you know, they would pump whatever administrations in power would pump,
S1: you know, a couple of trillion dollars into that, probably
S1: like immediately build two more plants, fully move tons of
S1: people from TSMC over to Arizona or wherever, and get
S1: this thing going properly. And speaking of TSMC, they had
S1: to temporarily halt chip production after a 6.4 magnitude earthquake
S1: hit the southern part of the island. And basically whatever
S1: was being made at the time, right, right at this tiny,
S1: tiny little scale. By the way, only five carbon atoms
S1: fit inside of one nanometer. That is the thing I
S1: learned from that acquired episode on TSMC. But yeah, basically,
S1: while these things were being made, while a bunch of
S1: chips were in production, this 6.4 earthquake hit. And earthquakes
S1: shake things. That's what they do. So they basically have
S1: to say, okay, anything being made at the time, most
S1: of it is probably garbage. And they kind of throw
S1: that out, which is probably very expensive. And then of
S1: course you have to make sure everything is fine before
S1: you start everything back up again. Zuckerberg just announced they're
S1: letting go of around 3600 people by February 10th, and
S1: they're planning to refill them with new hires. My read
S1: on this is that it's a constant cleansing and replacing
S1: of the workforce with what I call Alaskan boat crews.
S1: Fishing boat crews. Right. And I think after doing this
S1: for like a year, doing this a few times, the
S1: culture will be basically like a killer culture. It'll be like, look,
S1: we are here to work. We don't tolerate people who
S1: don't work. We will report you. You will get put
S1: on the naughty list and you'll get taken out. So
S1: what it does is it just encourages like this super aggressive,
S1: super high performance culture. And my prediction is that the
S1: stock is going to go up quite a bit. But
S1: don't take my word for that. Just uh, that's a
S1: random prediction I like to put into the world so
S1: that I can capture it and tell me when I
S1: get it wrong. Okay. Meta just released a new AI
S1: translation system called seamless that can translate speech between 36
S1: languages while preserving the speaker's voice and emotional tone. Getting
S1: closer to the universal translator. Scientists have created a new
S1: laser measurement technique that can measure distances of over 100km
S1: with nanometer level precision, which is insane. It's basically the
S1: distance between two cities with the precision of 1/1000. One one. Oh, goodness.
S1: 1/1000 the width of a human hair. I didn't realize
S1: that was a nanometer. 1/1000. Holy crap. That's that's small.
S1: 1/1000 of a human hair can fit five carbon atoms. Interesting.
S1: RSS is making a comeback because it lets you get
S1: all the good stuff from social media without the algorithmic manipulation.
S1: And it got a link to mine. It's just Daniel
S1: RSS or. Feed RSS. There's lots of different ones. If
S1: you just do slash feed or slash RSS. It will
S1: take you there. GitHub actions fall short for complex projects.
S1: So somebody shares frustrating experience with GitHub actions breaking down
S1: a larger, more complex environments like Monorepos with multiple teams. Humans.
S1: Japan's elderly women choose prisons over loneliness. So a lot
S1: of women are choosing to do petty crimes, so they'll
S1: get thrown in jail where they get meals, health care
S1: and community. This is extremely depressing to me. How are
S1: we at this point that you've got these poor old
S1: ladies who don't want to commit crimes? And it's not
S1: really about the crimes. It's the fact that you would
S1: rather go to jail because you're that lonely. What are
S1: we doing? What are we doing wrong? Human connection is everything. U.S.
S1: worker job satisfaction hits a ten year low. A new
S1: Gallup poll shows American workers are more checked out than
S1: they've been in a decade. Decade? What? 2015. Only 31%
S1: saying they're engaged at work. You know, you know my spiel.
S1: I'm not going to go into it. Sweden is reversing
S1: its 2009 all digital education initiative by bringing back printed textbooks.
S1: A comprehensive study in Texas from 2012 to 2018 found
S1: that undocumented immigrants commit violent and drug crimes at less
S1: than half the rate of native born citizens and property
S1: crimes at just 25%. The rate of non know at
S1: the rate of native born citizens. So dangerous crime basically
S1: half and property crime only 25% as often. FTC just
S1: released a report showing UnitedHealth and other major health care
S1: companies are marking up cancer drugs by over 1,000%. Medicare
S1: just added 15 more drugs to their price negotiation list,
S1: including Ozempic and Wegovy. Scientists discovered Greenland sharks are the
S1: longest living vertebrates on Earth. Some potentially being as old
S1: as like 600 years old. Ideas Stoicism's gift. The greatest
S1: gift that stoicism has given me personally is the ability
S1: to enjoy something I still have, as if I no
S1: longer have it. It is the ultimate frame. The greatest
S1: gift that stoicism has given me is the ability to
S1: enjoy something I still have, as if I no longer
S1: have it. Discovery. SSH. SSH into throwaway Docker containers. Basically,
S1: it's an open source tool lets you instantly spin up
S1: a disposable Docker containers via SSH for quick testing and development.
S1: And it got a bunch of my buddy Joseph Thatcher's
S1: favorite lists. And, uh, UL was lucky enough to make
S1: it on there a couple of times and the list
S1: was quite long, so worth taking a look at. In fact,
S1: I'm going to click over there. So best AI app cursor.
S1: Best model cloud sonnet. Best red team company Hayes Labs, right?
S1: So these are some of the things that he put
S1: in their command line tool. Yeah. Fabric. That's one of
S1: our mentions. Google bug bounty I jailbreaking resource. So lots
S1: of cool ones over here. What I wish I knew
S1: before quitting my job. So Michael Douglas shares his raw
S1: experience of how quitting his job to work on his
S1: own turned out way harder than expected. I post this
S1: because I'm always talking about the counter narrative of how, oh,
S1: you got to go independent. You got to do it
S1: sooner than later. I just want to make it clear
S1: that there is a counter narrative here. You do have
S1: to be careful. You've got to get oriented and you
S1: do have to be careful, is basically what I'm saying.
S1: Michael Box shares a really practical framework called hypothesis sheets,
S1: for validating B2B startup ideas before committing to them and
S1: the recommendation of the week. Try something different with your
S1: meditation for the next few weeks. Make a list of
S1: the relationships and other good things you have in your life,
S1: which are things like your husband, your wife, your particular
S1: particular kid. You have a close friend. The fact that
S1: you aren't hungry or cold at the moment. And now
S1: imagine that that thing or that person is gone. But
S1: as per your meditation, really, really imagine it. Like put
S1: yourself in that mental mode if that thing is really
S1: not in your life anymore. Imagine what you would do next.
S1: What does a day look like? Imagine watching TV. Imagine
S1: brushing your teeth. But without that person on the planet.
S1: Then wake up and realize that they are still here.
S1: This is a really, really powerful thing. And lots of
S1: different stoic teachers taught this, and I soaked it in
S1: from Marcus Aurelius. But when I was doing my stoicism stuff,
S1: I must have been like 2018, 2019. I probably read
S1: like 5 or 10 books around stoicism, including like summaries
S1: and a whole bunch of source material. And I just
S1: got this lesson drilled in over and over is like,
S1: Realize what you have. I also learned this in the
S1: army after being very, very cold and really appreciating things
S1: like a warm bed and, uh, and Burger King. Honestly,
S1: kind of a kind of a stupid example, but I
S1: wasn't even in combat. I mean, I was just out
S1: in the in the nasty stuff in, like, Kentucky freezing
S1: my balls off. And it was bad. It was really
S1: bad compared to being back at the base. And, you know,
S1: in normal life, like most people lead. So just imagining, like,
S1: right now I won't go too far into this, but
S1: like right now it annoys me that there are several
S1: things in my life right now in my environment and
S1: just around me. The fact that I have this microphone,
S1: the fact that I'm looking at a computer screen. It
S1: annoys me that there's a list of hundreds of things
S1: that if I didn't have them, I would wish I
S1: had them. I have pictures on my wall here in
S1: my house of the view of Earth from Mars. It's
S1: a tiny little speck, and I like to walk by.
S1: The reason I put him up is because I like
S1: to walk by and look at this picture and be like.
S1: Or a picture of the sun from Mars. It especially
S1: though looking at the Earth like the pale blue dot picture.
S1: I've got one of those as well. I love looking
S1: at it, imagining that we've been jettisoned off the planet
S1: like I'm in a prison colony. I've been kicked out
S1: of Earth, and I'm looking at it from Mars. And
S1: I'm just wishing. I'm just wishing I could go to
S1: that one Mexican restaurant. I could hang out with my friends.
S1: I could get a Starbucks. There's no more Starbucks. I'm
S1: in prison on Mars. I will never have another Starbucks again.
S1: And I will tell all my friends every time I
S1: meet them in the prison yard on Mars how cool
S1: Starbucks was. Am I actually a huge fan of Starbucks?
S1: Not really. I do like the vibe. I like how
S1: it smells in there. I like, you know, it's got
S1: a vibe to it. I like to go in there
S1: and work. The point is, whatever you don't have is
S1: the thing you want the most. And there's a there's
S1: a list of 100 of those things that I have
S1: right now that are just amazing. And the most important
S1: ones are actually relationships. And I think everyone's figured this
S1: out by now. But stoicism reminds me to take inventory
S1: and to imagine yourself without those things. And I recommend
S1: you you try this practice as well. And the aphorism
S1: of the week A rational person can find peace by
S1: cultivating indifference to things outside of their control. A rational
S1: person can find peace by cultivating indifference to things outside
S1: of their control. Naval Ravikant. Unsupervised learning is produced on
S1: Hindenburg Pro using an SM seven B microphone. A video
S1: version of the podcast is available on the Unsupervised Learning
S1: YouTube channel, and the text version with full links and
S1: notes is available at Daniel Miessler newsletter. We'll see you
S1: next time.