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. Hope you're doing well.
S1: So we added a new fabric pattern called explained Term's
S1: which takes an input, finds the difficult terms and gives
S1: a definition. And I got this put together because I
S1: was watching a really complex machine learning AI video with Daksh,
S1: and I forget who the people were. Oh, it was
S1: two different guests, one from anthropic and maybe another one
S1: from DeepMind. Not sure, but they went into some pretty
S1: heavy stuff, and there was a bunch of terms that
S1: I just heard them talking about, and I wished I
S1: could just go and look them up. So I went
S1: and created this pattern for that. Had a fantastic weekend
S1: at EDC, the annual pilgrimage for a bunch of friends
S1: and I. And yeah, it was fabulous. Just great music,
S1: great companionship, just amazing. And I would say if you
S1: don't have friends that you go and do something with,
S1: like every year, you want to definitely do that. It's, uh,
S1: it's really valuable to have something to look forward to
S1: and just have that time with friends. And it's like,
S1: it helps you get through the rest of the year,
S1: which I haven't been having that much trouble doing that lately,
S1: but it's, uh, it's something that everyone should be doing. Like,
S1: Tim Ferriss talked about this and it got me thinking
S1: about it. And luckily I already have a couple of these. Basically,
S1: one is like Defcon black hat, and the other one
S1: is EDC, and we're thinking about sprinkling a few smaller
S1: ones in there as well. But something to do if
S1: you don't have these already and it could be local.
S1: It could just be like LAN parties or whatever, just
S1: small things. Thinking about writing a short book about what
S1: people will need to become antifragile. In the world of AI,
S1: a lot of people are asking me this like, what
S1: do I need to learn? What are the skills I
S1: have to master to be resilient to AI? And a
S1: working title for this is something like human 3.0 Skills
S1: and Mental Frames Required to thrive in a post AI world.
S1: And I've actually forgot to look at this. I haven't
S1: looked at that, but we'll take a look at it afterwards. So, uh,
S1: got a post here that, uh, was from a while back,
S1: like May of 2023, where I talked about the attack
S1: surface map. Not sure why this is not linking. There
S1: it goes. Yeah. So this is the attack surface map
S1: I put together in May of 23, I think so
S1: about a year ago, and it turns out to be
S1: pretty useful. Still, I think it's still spot on. I'm
S1: not sure what I would modify from this, but worth
S1: taking a look at if you haven't seen it. Okay, security,
S1: see what we got here? So the FBI seized a
S1: bunch of hacking, uh, breach forms again, Chinese brain drain.
S1: So Microsoft is moving nearly 10% of its China based
S1: tech talent out of the country. Yeah, they're talking about
S1: brain drain here. And I personally am pretty happy about this.
S1: I think I feel like the US is in a
S1: good state right now. It's in a good place to
S1: win because Europe is suffering from all sorts of missing
S1: innovation because of regulations. They just love regulating things, regulating
S1: things too much. And that's a problem. So I think
S1: that's like taking them out of the game. China is
S1: being just super aggressive to everyone all the time, hacking everyone,
S1: trying to control everyone. Everyone's trying to control everyone and some,
S1: some sense. And definitely in the US is not innocent
S1: of that. But I would say that our means of
S1: doing that in our goal of doing that is more benign.
S1: And this really leaves the US and Canada to benefit
S1: from this boom in talent and people that are going
S1: to be leaving China. China has so many people, and
S1: a small percentage of those people have a high IQ,
S1: and a small percentage of people in the US have
S1: a high IQ. And guess what? When you have three
S1: times the people, or is it four times the people,
S1: I can't remember. But when you have that many more
S1: people and plus they have a better education system, like
S1: they have so much talent and to have a lot
S1: of that talent go to the US and Canada and
S1: to some degree to Europe. That is a major advantage
S1: for the West. And the other disadvantage that China has
S1: around AI is that I think they don't want to
S1: just turn it on and enable it, because it encourages
S1: people to ask questions. And China doesn't like people asking questions.
S1: They want to feed them a narrative and have that
S1: narrative be the only one and basically control that. And
S1: it's just not a game that they're going to win.
S1: I don't think, well, they could win, they could still win.
S1: But I feel like they're setting themselves up to fail
S1: and for the West to benefit. So what's essentially going
S1: to happen as a result is the world will pull
S1: away from them, and their best minds will brain drain
S1: out of the country. They will go to Europe, they
S1: will go to Canada, and they will go to the US.
S1: Air Force Secretary Frank Kendall flew in an AI controlled
S1: F-16 and basically said, it's just about as good as
S1: experienced human pilots, technology. Everything covered at Google I o got.
S1: A link here, and unfortunately, it's impossible for me to
S1: get excited about this because Google has turned into like
S1: a cool idea lab because they're not really good at
S1: making products. Why? Because they're simply not good at managing products.
S1: They have so many smart engineers, and they have lots
S1: of talent and lots of cool potential ideas, but they
S1: don't have vision and they don't have product management, and
S1: they don't have vision. That's led by product management and
S1: by the leaders. They have basically a throw it at
S1: the wall technique and it's really hurting them. And I
S1: think the only thing that's going to fix it is
S1: like a dramatic overhaul with replacement of the CEO. I
S1: think that's looking more and more likely. Pretty cool idea
S1: about how to avoid the mediocre success trap, because you
S1: basically want a home run or strike out. And this
S1: is talking about not getting a strong signal from an experiment.
S1: This is the context that they're talking about here. Ilya
S1: Sutskever suggests mastering these 30 ML papers to grasp 90%
S1: of crucial machine learning knowledge. I've started going through the list.
S1: I'm not all the way through by any means. MIT
S1: researchers came across three ancient stars, and they're going around
S1: the Milky Way for some reason, and they appear to
S1: be some of the oldest in the entire universe. And
S1: I'm like, how do they randomly end up near us?
S1: A strange and the article didn't really explain it that well,
S1: scientists just found out that whales have their own alphabet
S1: in their songs, and my buddy Mark has been working
S1: on deciphering this stuff for years. He's got some real
S1: cool research that he's working on, hopes to be able
S1: to present on it at some sort of marine conference soon.
S1: And this one's about how Swiss parenting styles are so
S1: different from American ones, and they talk about it in
S1: this article. Basically, four year olds being able to walk
S1: to school by themselves in Switzerland. And some will say, well,
S1: that's because it's more safe there. It's not really that
S1: unsafe here either in the US for kids to walk
S1: to school, but people think it is and that's that's
S1: their frame. That's their reality. All right. This one here,
S1: I think the magic amount of therapy for most people,
S1: of course, not all might be some relatively small amount
S1: of therapy that untangles your knots, but doesn't point your
S1: lens permanently on yourself in your troubles. Because I feel
S1: like too much therapy has the approach of like bad chiropractic,
S1: where the goal is they want you to come back
S1: and have more chiropractic visits, right? The goal is not
S1: to fix you where you don't come back. And I
S1: think just so much focus on yourself and your problems.
S1: It's essentially rumination. And rumination is a bad thing that actually, ironically,
S1: you go to therapy to figure out how not to do.
S1: And I'm worried that the therapy industry is basically encouraging rumination.
S1: Recommendation of the week. Make sure you have 1 to
S1: 2 friend trips planned per year, even if it's not
S1: everyone and it's just local. Just anything camping, hiking, whatever,
S1: role playing games, video games, whatever. And maybe you have
S1: a rule of like no tech during that time just
S1: so you can have interactions, live interactions, eat food together,
S1: hang out, even watching TV, just talking, whatever. Super replenishing,
S1: as I just found out from this last trip. And
S1: the aphorism of the week every minute you are angry,
S1: you lose 60s of happiness. Every minute you are angry,
S1: you lose 60s of happiness. Ralph Waldo Emerson. Unsupervised Learning
S1: is produced and edited by Daniel Meisler on a Neumann
S1: U87 AI microphone using Hindenburg. Intro and outro music is
S1: by zombie with the why and to get the text
S1: and links from this episode, sign up for the newsletter
S1: version of the show at Daniel meisler.com/newsletter. We'll see you
S1: next time.