S1: Are you prepared for whatever shitstorm may hit your desk
S1: during the workday? Auto Max has your back. Check out
S1: the brand new autonomous IT podcast. Listen in as various
S1: IT experts discuss the latest Patch Tuesday releases, mitigation tips,
S1: and custom automations to help with CVE remediations make new
S1: work friends. Listen now to the autonomous IT podcast on Spotify, Apple,
S1: or wherever you tune in to podcasts. Welcome to Unsupervised Learning,
S1: a security, AI, and meaning focused podcast that looks at
S1: how best to thrive as humans in a post AI world.
S1: It combines original ideas, analysis, and mental models to bring
S1: not just the news, but why it matters and how
S1: to respond. All right. Episode 437. What are we doing here? Okay,
S1: so I'm delivering my augmented AI course again live. And
S1: this is on July 26th. It's actually my birthday. And
S1: so that'll be next month. And the theme is moving
S1: towards human 3.0. How to survive and thrive in the
S1: world full of AI. And yeah, I got human 3.0 conversation,
S1: skill sets and mental frames, integrating AI into your life
S1: and work and a whole bunch of resources. Essentially, it's
S1: going to be a lot of hands on, actually showing
S1: you the way that I use AI and adding a
S1: whole new section above and beyond the previous class, which
S1: talks about how to basically get ready, what things do
S1: you actually have to learn. And a big part of
S1: this is so that you could tell the other people
S1: that you care about, especially young people like people in
S1: high school, people in about to go into college, people
S1: in college, or people changing careers who just have massive
S1: anxiety from all this AI stuff. This is basically going
S1: to give my outline of what I think is coming
S1: and how to get ready for it, like how to
S1: not just survive it, but actually be antifragile so that
S1: you actually benefit from it. So that is next month,
S1: the end of July. My friend Monica is launching her
S1: cybersecurity leadership Masterclass. Goes over tons of stuff, which I
S1: talk about here, and it's just a really good course.
S1: I think she really has a good perspective on this,
S1: and I got a link here to sign up for
S1: the class doing a webinar with Elastic Security. And that's
S1: coming up Tuesday, June 25th. And I changed some headers.
S1: Doesn't really matter. All right. My work. So few new
S1: essays this week. So the first one is talking about
S1: ratings and basically how I believe AI is going to
S1: basically do like this. This 123 punch one is teaching
S1: us things. Second is testing us to see how well
S1: we know that material. And the third one is giving
S1: these scores. And, uh, I think it's going to be
S1: really crazy. You should you should check out the whole post.
S1: This is the post here. And I basically talk about
S1: like the different scores. I talk about, like ways and
S1: components of the score that are going to be pretty crazy.
S1: And it starts to get a little bit scary, quite,
S1: quite a bit scary actually. Okay. Imagine you're walking around,
S1: you have like the score above your head because because
S1: it's not just going to be for a test that
S1: you took or whatever, right? It's also going to be
S1: for like, hey, instead of me having to vet every
S1: single person that I want to date or a college
S1: having to vet incoming people, why don't they just send
S1: you to do this Astra test, whatever that is? And
S1: this is some random company, a made up company, right?
S1: But they're going to get your blood work and they're
S1: going to do all of this, your personal life history there.
S1: And keep in mind this is an AI avatar asking
S1: you these things. There's a camera on you watching your
S1: facial expressions and your body language. And keep in mind,
S1: this is like GPT six or GPT seven or whatever.
S1: So it's like extremely advanced AI. So it could read
S1: your body language. It knows when you're lying, it knows
S1: when you're uncomfortable about a thing, but it's going to
S1: ask you about your traumas. It's going to ask you
S1: about your like, your beliefs about different things. It's going
S1: to ask you about morality. It's also going to test
S1: your technical skills, ask you to actually build things. It's
S1: going to deep dive into your opinions on like tons
S1: of different things. It's going to look at your base
S1: core knowledge, math, physics, biology, history, economics, all these other disciplines.
S1: It's basically going to understand like how smart you are,
S1: all the different stuff that you know, your maturity across
S1: lots of different areas like emotional maturity, your wisdom, things
S1: like that. And then it's going to ask about your finances.
S1: It's going to ask about like how much money do
S1: you make? What is your earning potential, why do you
S1: think you can make that much money, blah, blah, blah.
S1: All of that combined think of like a three day
S1: test where eight hours a day, you're talking to this
S1: AI avatar, and the whole time you're on camera and
S1: a lot of people are thinking, why would anyone sign
S1: up for that? The answer is because they want to
S1: know that about themselves. They also have some measure of
S1: trust that the videos aren't going to go out, but
S1: that which isn't going to happen. Those companies are absolute
S1: going to get hacked. Right? So that's that's a mess.
S1: But it doesn't it doesn't matter. Everyone's going to get
S1: hacked in this way. So it kind of just like
S1: that doesn't matter. So you have the videos, the AI
S1: does the analysis. And keep in mind, the AI knows
S1: everything about human psychology. It knows all the subject matter
S1: that you're talking about history, physics, you know, security, like
S1: all the different things that you're good at. It knows
S1: how good you are at it based on the fact
S1: that it did the the interview with you. So it's
S1: like taking you into deep water to see how deep
S1: you can go. Right? Well, now, now think of companies
S1: who want to hire somebody. They don't have to do
S1: all this deep vetting, deep vetting, a three day set
S1: of interviews, or a two week set of interviews with
S1: like five different groups of people. And they're asking like
S1: dumbass questions. That does not work. You see how bad
S1: people can be even after they go through the interview process. Okay.
S1: In current hiring methods, there's like a gauntlet of all
S1: these interviews. That gauntlet of interviews does not yield great
S1: people a high percentage of the time. It does sometimes,
S1: but not nearly as much as it actually should, given
S1: like how extensive that is. Now compare that with somebody
S1: who's like, hey, look, if you have an astro score,
S1: I would love for you to share it. You don't
S1: have to. We're not going to ask you to do it.
S1: But of course, hiring managers, companies assuming it's legal, that's
S1: going to be a problem. There's going to be some
S1: regulation against stuff like this, because it's going to be
S1: so good that it's going to instantly put great people way,
S1: way above. And because it's so good and it's because
S1: it's so merit meritocratic, there's going to be massive pushback.
S1: But I think that it's going to be so useful
S1: and so powerful for startups that they're going to do
S1: it anyway, especially this especially matters in a world of AI,
S1: because people are going to have much smaller teams. It's
S1: going to be like me, the founder, and I need
S1: a total, total badass to be like my chief of
S1: staff because they're going to run my 13 different companies,
S1: which are mostly AI powered. But I need a total
S1: killer to be that person, which means I need a
S1: high astro score specifically in like fluid intelligence, raw IQ,
S1: communication skills, like all these particular things. And what's crazy
S1: is I can describe in an interview to AI exactly
S1: what I need, exactly what my product does. In fact,
S1: the AI will just go get all that stuff. It
S1: will then understand that perfectly. Then it will look at
S1: someone's astro score and just basically find matches and be like, look,
S1: this person is pre-vetted. Their astro score perfectly matches I
S1: validated the Astro score is real, which Astro will also do.
S1: And by the way, Astro, this is a made up company.
S1: It's not real, but there will be many Astros. So
S1: now it's like hey, do you want to talk to them? Yeah, sure.
S1: So you get on a call with them and you're like, hey. Yeah.
S1: So I mean, the AI says that you're really good.
S1: My my da, my da. My personal digital assistant says,
S1: you seem to be really good on paper, which means
S1: through all this AI vetting. So you have a conversation
S1: and what do you know? You start talking about books.
S1: You start talking about what? The way you see the future,
S1: you start talking about ambition. And they're like, oh yeah,
S1: I'm reading those same books. I'm listening to those same podcasts. Yeah,
S1: I just worked out this morning and you're like, Holy crap,
S1: this person's just like me. Total badass. Yeah. Perfect match.
S1: What do you know? What are the odds? Quite good, actually.
S1: Quite good because of the Astro score. So now think
S1: of companies can just rely on the score. What about dating? Dating? Well,
S1: look at all these questionnaires people are filling out and
S1: they're not happy with the dates. And Astro score is
S1: going to be a way better measure of a person
S1: than this. And of course, there's going to be nasty
S1: gross astro scores. Keep in mind it's going to be like, oh,
S1: how pretty is this, this person, how rich is this person?
S1: And they're going to have like whatever, an Omni score
S1: and it's going to be like Douchebaggery score essentially. So
S1: you shouldn't think that just because it's AI generated that
S1: it's a good measure of a person. That's not true.
S1: What I'm talking about is something that's really deep across
S1: multiple facets of a person, where it actually is kind
S1: of capturing how good they are and how valuable they are,
S1: and importantly, how useful they are for a particular application,
S1: such as working inside this company, working on your particular problems,
S1: or if you're trying to build a family and you
S1: want to know, like how good of a dad is
S1: this person going to be? How good of a mom
S1: is this person going to be? Well, now it's focusing
S1: on those areas which were covered in the interview. The
S1: point is, many, many things in society require and desire
S1: to vet. This is universal vetting. That's what this is.
S1: This is universal vetting. You need to vet people to
S1: work on a company with you, to do a project
S1: with you, to be a babysitter for you, to be
S1: a dog sitter, for you to be a life partner. Right.
S1: So these types of scores, the better they are. Let's
S1: say this Astro one is the best one. It's like
S1: a seven day on site, in person talk with all
S1: these different eyes, and they're hitting you from different angles.
S1: They're watching you do jumping jacks. I mean, it's going
S1: to be crazy. Oh, by the way, you submitted a
S1: blood sample. Right now it's looking at your genome. Yeah, yeah.
S1: And that's why when I came up with the name,
S1: I used AI for that Astra. I forget what it means, but. Yeah. Uh,
S1: what's that movie with Ethan Hawke? What's the one where, like,
S1: the guy wasn't chosen to go on the. Flight anyway.
S1: It's dystopian. Okay, 100%. All this stuff is dystopian. All
S1: this awesome stuff is simultaneously dystopian. The question is, can
S1: we take it in good directions? Right. That's the only question.
S1: We know it's going to go in bad directions. That's
S1: a guarantee. I mean, have you seen humanity? Of course
S1: it's going to go in bad directions. The question is,
S1: can we limit some of those? Can we control some
S1: of those? Can we discourage some of those and steer
S1: them in positive like human 3.0 directions. Like ideally you
S1: would have something like an astro score that's super deep.
S1: It's super knowledgeable, but it's not like man, not as
S1: attractive man. Oh, there could be a flaw here. We
S1: don't talk to flawed people. A real astro score is
S1: going to be like, hey, this person is nuanced and
S1: this person has, you know, warts. And this person is like,
S1: flawed and and complex and multiple layers and blah, blah, blah.
S1: But I think at the core level, you guys could
S1: be soulmates. And here's the list of questions to like
S1: initiate that initial discovery period or whatever. It's not about perfection.
S1: Not in the human based world, not in the human
S1: 3.0 based world. It's not based on perfection. It's based
S1: on deep matches. On the things that matter. And spending
S1: less time or getting confused by surface level things. He's
S1: very attractive. He's very rich. But you find out three
S1: years later, you know, he's in your mind. He's garbage, right?
S1: Because he doesn't treat you well like he treats people poorly. Right.
S1: And the whole thing that he postured with you was
S1: all an act, and you just wasted three years of
S1: your life, and you were supposed to be having kids
S1: by now. So, like, there's a positive way to go
S1: with this. And I think we need to realize, one,
S1: that there are positive opportunities to. Bad things are going
S1: to happen from these types of scores and not be
S1: confused in thinking that because bad things happen, mean the
S1: whole thing is a wash. First of all, doesn't matter
S1: if it's a wash because it's going to happen anyway.
S1: So either way you should be prepared. So lots of
S1: different ways to get value from this type of analysis.
S1: And here we are. We're we're like 15 20 minutes
S1: in or whatever ten 15 minutes in. And uh that
S1: was one essay okay. Next one the fast slow problem.
S1: You know what? This one's short enough. I'm going to
S1: go ahead and perform this one because that was called performing. Okay.
S1: So I've been obsessed lately with the concept of slow
S1: versus fast. I'm calling it the fast. Slow problem refers
S1: to the speed and amount of dopamine that you get
S1: from a thing. So in the distant past, an apple
S1: would have been a treat, and especially an apple pie
S1: because it took so long to prepare and enhance those
S1: apples which were by themselves not easy to come by.
S1: That's slow from the difficulty of finding the thing, and
S1: from the long process of creating an apple pie. A
S1: box of donuts, on the other hand, is fast. First
S1: of all, you could just walk in and say, give
S1: me a dozen donuts. And second of all, a donut
S1: has been engineered to taste better than a hundred crates
S1: of apples. So if you eat like six donuts, one
S1: after another and then you bite into an apple, it
S1: tastes like a 3D piece of like printed styrofoam. Like
S1: it just does not compare to a donut. And there's
S1: lots of other examples of this, like porn being the
S1: fast extracted version of sex, TikTok being the fast extracted
S1: version of reading a book or watching a movie. And
S1: I worry that this is what's happening with human relationships,
S1: like dating. They say that young people don't want to
S1: get into relationships or have sex with each other anymore,
S1: and evidently it's because they would rather do other things.
S1: And this feels very much like a fast, slow problem.
S1: What if this is as simple as teenagers and young
S1: adults having more fast options on their phones and TVs,
S1: and they are so good that the slow options of
S1: companionship and relationships simply cannot compete. It's one thing when
S1: a donut competes with an apple, but in this case,
S1: the fast versus slow problem might actually be affecting the
S1: future of the species. I'm not sure what the complete
S1: answer is here, because I'm sure there are places where
S1: fast versions are simply better, and not just faster. But
S1: what I do know is that I think we should
S1: start being very cautious about replacing slow versions of things
S1: with the fast versions of things. There is meaning in
S1: doing things slowly. Slow walks while holding hands. Reading physical
S1: books in natural light and making apple pies from scratch.
S1: I think we should do our best to figure out
S1: what those slow, meaningful things are and ensure that we
S1: keep as many of them in our lives as possible.
S1: That was that one. All right list of hard won
S1: life lessons. I think I'm going to do a separate
S1: one for this, but essentially it's a list of pretty
S1: decent wisdom here. Yeah, I'll give you one. In practice,
S1: weak people behave very similarly to evil people. Don't tie
S1: yourself to either. So that's the vibe there. It's a
S1: whole bunch of those. So I do want to move
S1: to a model where I support a lot more of
S1: my work with memberships, courses and revenue from apps that
S1: I'm building. So I would love for you all to
S1: actually subscribe and become members of UL. So you just
S1: go to Daniel meister.com/upgrade and you can become a member.
S1: And there's just so many benefits. The biggest one is
S1: the actual community, which it's just the most amazing people
S1: that I've ever met. It's uh it's great. We got
S1: a book club, monthly meetups, significant discounts. So I that
S1: augmented course that's going to be $200 off if you
S1: become a member. And guess what? Becoming a member is
S1: only 100 bucks a year. So you kind of like
S1: make up for it instantly. And there's just a whole
S1: bunch of other stuff. We actually have physical meetups. It's
S1: pretty cool. All right. Stories House just passed a bill
S1: that bans DJI drones from using FCC frequencies. Disgruntled ex-employee
S1: costs over $600,000 by deleting 180 test servers. Using a
S1: script that he found on Google, Wells Fargo fired over
S1: a dozen employees for faking keyboard activity to look busy. Yeah,
S1: AWS has added Fido Passkeys for MFA, and root users
S1: must enable this by July of 2024. I love this,
S1: I don't think there's anything better recently for security than passkeys.
S1: Like maybe the like the last ten years. Like it's
S1: just really good. New York Times source code was stolen
S1: using an exposed GitHub token like this is an older story.
S1: Maybe it happened again. iOS 18 will let you automatically
S1: record and transcribe phone calls through the phone app. I
S1: have the beta. I need to get that going. Thanks
S1: to a project discovery for sponsoring, Canada is proposing potentially
S1: life in prison for hate speech, and maybe even preemptively
S1: restrict their freedom based on anticipated crimes. Based on what
S1: I saw happen to Jordan Peterson, who I'm not a
S1: complete fan of, by the way, especially lately. But what
S1: I saw that Canada did to him, not a huge
S1: fan linked out. LinkedIn is rolling out AI career coaches. Yeah,
S1: see my essay above on the Astro scores. That's what
S1: we just talked about. AI and LMS are transforming cyber insurance. Yeah,
S1: I really needed to do a whole piece on this.
S1: But real time risk adjustments and pricing adjustments based on
S1: that risk I plus insurance. Yeah that's spicy. It's going
S1: to be good. And when I say good I mean
S1: good for insurance companies. Scale came out with a controversial
S1: stance that they will hire on merit and merit alone.
S1: This thing is worth reading. Okay, skip that one. Tesla
S1: shareholders have backed Elon Musk's $56 billion pay package. Got
S1: two things here where I left the subtitle in there
S1: do not like. Okay. Yeah. So they basically approved $56
S1: billion pay package. This feels very Atlas Shrugged to me.
S1: Basically give the actual builders anything they want because there's
S1: so few of them left and they're so special. I
S1: really like how it's like pro entrepreneur, but I feel
S1: like it comes with a lot of toxicity. Like give
S1: Buck Reinhold a harem because Buck deserves it and there's
S1: cheering in the background. I think we need like a
S1: healthy hybrid, right where we have this massive respect for founders, builders, creators, entrepreneurs.
S1: But we build in the assumption that, look, it's not
S1: just the 1%, they're not special people. Why isn't everyone
S1: doing that? And that's what that's what human 3.0 is,
S1: is getting everyone into this category. So guess what? There's
S1: no more God complexes because everyone's supposed to be that way. Yeah,
S1: great timing for this one. Evidently, Musk has had sexual
S1: relationships with multiple SpaceX employees, including a former intern, which
S1: he hired on to his executive team. And this is
S1: according to Wall Street Journal. Now, yeah, I got complex
S1: thoughts on this. I think radical honesty and like voicing
S1: your desire to be with somebody, all of that is like,
S1: I think Musk is actually doing that better than. Most people.
S1: The problem is he works with these people. Right. So
S1: I've got a fake example here. Julie, great work on
S1: the Montague project I admire you. You should have my babies.
S1: And keep in mind, this is not a real quote,
S1: but this is kind of the vibe, right? This would
S1: be wrong if nothing happened from it. Because even if
S1: that worked out, if that conversation worked out, her career
S1: was great. His career was great. Like no problems. It
S1: would still be wrong because it has so many chances
S1: of going wrong. And this is why this is not allowed,
S1: because the the allegation here, which nobody knows if this
S1: is true, but the allegation is that, uh, some of
S1: the women supposedly said that they were given this offer,
S1: they declined, and then they got screwed because of it. Right?
S1: They didn't get the promotion, they got fired. Whatever. Whatever
S1: the case was that's being alleged. All right. California has
S1: the biggest wage gap in the US. This seems to
S1: make sense to me. It's like it's the most extreme
S1: version of a big city. So you're going to have
S1: higher highs and lower lows. So that makes sense. We
S1: just broke ground on America's first next gen nuclear facility.
S1: And this is a piece by Bill gates. Uh, really
S1: cool to see him working on energy the way he is.
S1: Russia replaced the dollar and the euro with the Chinese currency,
S1: the yuan yuan, yuan, something like that. There's a fungus
S1: that can eat plastic. I'm worried. What else it can eat?
S1: That's just me. Apple left out a lot of the
S1: small updates in, uh, WWDC keynote, so. Oh, I already
S1: used this. So I speak Spanish pretty well, and I
S1: type in Spanish a lot, and it's not auto correcting me.
S1: It's letting me type in Spanish mixed with English. Absolutely
S1: love it. So that must be already turned on. Flashlight
S1: app has new animations. Widgets are easier to resize. The
S1: Vision Pro shows your keyboard in VR, and Mac OS
S1: has some new nostalgic wallpapers. Apple Vision Pro lets you
S1: watch House of the Dragon, which is the new Game
S1: of Thrones thing, in an updated, immersive Iron Throne room environment.
S1: Spatial personas envision two I just updated mine and recorded
S1: a new persona. Someone wants a FaceTime? Let me know.
S1: And got an argument here that Jupyter notebooks are the
S1: fast food of coding. Convenient but often unhealthy for long
S1: term projects. And Jensen Huang told Caltech grads to pursue
S1: $0 billion markets, which are markets with no current value
S1: but huge future potential. And I just figured out what
S1: I love so much about Jensen. He's like a permanently
S1: nice version of Elon and we've all seen Elon be nice.
S1: I actually love Elon. I think he's amazing when I
S1: see him talk about space or the future or saving humanity.
S1: I'm like this guy is literally my hero. Then I
S1: see him posting memes on Twitter about politics and I'm like.
S1: Do not be this person. Do not let people make
S1: you into this person. And I get very angry at him.
S1: So it's great to see that you can have like
S1: an Elan type, like an Atlas shrug type. Who's also nice.
S1: It's amazing. Got someone predicting that generative AI will actually
S1: increase the demand for software engineers over the next 20 years,
S1: not decrease it. I think there's some validity to that.
S1: I think we'll also decrease it, but also increase. The
S1: question is which one wins out? I think probably increase
S1: wins out in the beginning, widely held view that sperm
S1: counts and men are dropping around the world may be
S1: wrong in according to a new study and University of Manchester.
S1: So I tend to go by the quality of these
S1: things to determine if I include it or not. And
S1: if I really want to look, I run it through
S1: fabric and see like how it scores the paper. Curiosity
S1: Yeah argues that perfectionism is about optimizing at the wrong scale.
S1: I love that, I love that statement. I love the sentence.
S1: Perfection is about optimizing at the wrong scale. This reminds
S1: me of another thing that I really love. The worst
S1: way to lose is to win at the wrong game.
S1: And that's what this reminds me of. Perfectionism. Perfectionism is
S1: optimizing at the wrong scale. Love it. 38% of web
S1: pages that existed in 2013 are no longer accessible. Derek
S1: Sivers explains why you should create a now page. I've
S1: been doing this for a long time. I don't currently
S1: have one up. That's because I'm going to have it
S1: in my personal API soon, which will be all AI powered.
S1: Basically a Da going to be cool stuff that's going
S1: to take a little bit longer. I'm not actively working
S1: on it yet. Waiting for the tech to evolve a
S1: few more months. Okay, ideas. Increased production of goods and
S1: services after AI, and how does that make sense if 90%
S1: of people don't have money to buy the stuff? So
S1: I'm talking about the economics there. Got someone arguing that
S1: in a world dominated by AI and robots, the key
S1: to human survival isn't being smarter, but being more mediocre.
S1: I included it just because I like alternative views. Pop cultures, oligopoly,
S1: dream machine, AI model. Yeah, lumen labs, this thing's blowing up.
S1: Nvidia Warp Infinite content ideas generator can now design and
S1: manufacture your own chips. LM Mojo Olama new version enhanced
S1: GPU discovery SQLite is likely the most used database engine.
S1: Pretty cool argument there. There's a new Starlink coming out,
S1: a tiny one that's really good for like camping and
S1: RVs and stuff. And, uh, Max lighter has a simple
S1: but powerful tip ship something every day. Doesn't have to
S1: be big, just something you can point to. Recommendation of
S1: the week. I recommend you check out my list of
S1: hard won life lessons I was talking about earlier. The
S1: full list is pretty good, and the aphorism of the week.
S1: The sad truth is that most evil is done by
S1: people who never make up their minds to be good
S1: or evil. The sad truth is that most evil is
S1: done by people who never make up their minds to
S1: be good or evil. Hannah Arendt. Unsupervised Learning is produced
S1: and edited by Daniel Meisler on a Neumann U87 AI
S1: microphone using Hindenburg. Intro and outro music is by zombie
S1: with the why and to get the text and links
S1: from this episode, sign up for the newsletter version of
S1: the show at Daniel meisler.com/newsletter. We'll see you next time.