S1: All right. Welcome to episode 47. This is Daniel Miessler.
S1: All right. Lots of updates. I've been the most creative,
S1: productive I've ever been in my life in this last week,
S1: and I think it probably has to do with a
S1: combination of cloud code and cursor. And I would say
S1: specifically cloud code, because I am now using it to
S1: do way more things than just coding. I'm basically using
S1: it as like basically it's like I'm a CEO of
S1: multiple companies and I could give work to like 100
S1: workers at all these different companies. So basically I've got
S1: like five shells open right now and they are all
S1: in separate repositories. And like not many of them are
S1: actually building anything related to like a web app or
S1: web coding or any of that. Um, a lot of
S1: them are like, organize this, clean this up, you know,
S1: go get this content, um, fix all the links on
S1: my website or whatever. It's like, It's a whole bunch
S1: of stuff that would have taken hours and hours of
S1: manual work, and that's why I hadn't done it yet.
S1: And so now this thing is just like, yeah, tell
S1: me what to do. It's like, okay, cool, I'll write
S1: a script to do that here. I just fixed your
S1: entire blog. Okay. It fixed my entire blog for content
S1: going back to 1999. Hundreds. No. Thousands. Thousands of articles.
S1: Thousands of pieces with broken links. It migrated all of
S1: my images to a new system. Um, I cleaned up
S1: all my cloud or all my, uh, Cloudflare. Um, basically
S1: how everything was being handled before I was doing a
S1: bunch of stuff, um, with S3 and CloudFront, and I
S1: moved everything to be Cloudflare now, um, I migrated all my, uh,
S1: images to use that instead. And they're all located at
S1: slash images. This is all stuff I was like, piecing
S1: away at manually and sort of like as I came
S1: upon the problem, I would go and fix it, but
S1: to me it was daunting to think about even trying
S1: to do this right. So, I mean, it's the type
S1: of thing you hire somebody and they go and do
S1: it and it's going to be done really, really poorly.
S1: If I would have paid someone to do this, first
S1: of all, it would have cost me thousands of dollars.
S1: Second of all, they would have messed a whole bunch
S1: of stuff up. So it's like I can't even express
S1: how useful and powerful this is. And I'm paying for Max,
S1: which is like 200 bucks a month. But like, if
S1: this was $2,000 a month, I have like five times over,
S1: made my money. And that's just from like last weekend, right?
S1: I mean, or like up to up to now, which
S1: is like Wednesday. So I'm telling you, this is like
S1: the most excited I've, I've been about this whole AI thing,
S1: and I don't even see it as I actually like.
S1: I'm starting to, like, just not even care about that.
S1: What I'm caring about is this agent, uh, thing and
S1: not like AI agents, but the concept of handing work
S1: to something that understands what you're trying to do. Okay,
S1: here's another good example. I have content on the site
S1: from so many different previous platforms, right? Because I've been
S1: blogging since 1999, which means I've got just grossness, just nastiness,
S1: like weird embeds and weird linking strategies like my images
S1: were being called in five different ways. Do they have
S1: forward slashes or not? Like, all of this stuff was
S1: messed up. I went and told this thing, here's the
S1: canonical way to do things. Here's what a post is
S1: supposed to look like, right? When when I send you
S1: a URL. And by the way, I don't have to
S1: give it like specifics. I'm just like, hey, there's a
S1: I have a post called The End of Work. It's
S1: really messed up. Go and fix it. It goes and
S1: checks all the 20 things that I need it to
S1: do for it to be normalized, for it to be
S1: a canonical post. It's like, okay, cool, I did that
S1: and I pushed it. Anything else? Oh, and by the way,
S1: I tested it and it works. I can't express to
S1: you how Insane. That is, it is completely, completely spectacular.
S1: I mean, this is a type of work. Like I said,
S1: if I hired someone who is super smart and super awesome,
S1: like a super hard core developer, and I said, I
S1: want you to do these 20 things to this post.
S1: And by the way, some of these posts are like
S1: a thousand words, 2000 words, 3000, 5000 words. I mean,
S1: I've got posts that are 17,000 words, 9000 words, 10,000 words.
S1: We're talking about small books here, okay. And you hand
S1: that to a human and you're like, hey, go through
S1: all this text. And by the way, it's done differently
S1: for every single post, okay? Every single post. It's broken
S1: in different ways, and I tell it a canonical way
S1: to do it. It literally comes back in 2 or
S1: 3 minutes and it's like, yeah, I fixed all that.
S1: And I'm, I'm so I've got cloud code over here
S1: working and then I have cursor, I have the same
S1: project open in cursor. So I can actually go in
S1: and do manual edits. More importantly, I can see what
S1: it's actually doing, what what Claude is actually doing. And
S1: sometimes I could use the cursor agent if I want,
S1: but generally I'm using it for transparency. And just like,
S1: you know, manually accepting things if it's crazy or whatever.
S1: Plus I have my vim bindings active inside of cursor,
S1: so I could actually just go right using air quotes
S1: vim inside of cursor and it doesn't feel crazy. I
S1: don't have auto save enabled though, someone can figure that out.
S1: But anyway, it's just been. I've been getting so much done,
S1: so many projects that are just like. And I've got
S1: 1520 more that are popping into my mind. Like, I
S1: literally have seven terminals open right now doing cool projects.
S1: I'm about to go do cool stuff, like I'm doing
S1: some physical stuff with some friends. We're going to, um,
S1: celebrate Dustin's life tonight, so I'm really looking forward to that.
S1: And all these other cool things, like I'm doing a
S1: cool project, I'm traveling or doing whatever. Right now I
S1: am thinking, when can I get back to coding? I
S1: recently been messing around with Diablo for a little bit.
S1: Diablo four is my favorite video game, or Diablo in general,
S1: is probably my favorite video game, and I'm pretty excited
S1: about what's going on in there. I could go and just,
S1: you know, have some fun for two hours or whatever.
S1: It is. Nothing compared to these five terminal windows that
S1: are calling me. I literally play around with this stuff
S1: and build stuff and fix stuff and create. Net new things.
S1: The next one I'm about to do is substrate. It's
S1: going to be insane. But I start on this. I
S1: look up at the clock and I'm like, oh well,
S1: I need to stand up. I need to eat. I
S1: haven't eaten in six hours. Also, it's going to be
S1: breakfast and that's 3 p.m. breakfast or whatever. Like, I
S1: have never been this excited and focused that I can
S1: remember on anything. Now, you combine that with the fact
S1: that this thing is getting better, right? Just imagine Cloud
S1: Code a bit better. Imagine cloud code, but I can
S1: send it content from my voice, right? I mean, and
S1: this is where this is all going that I've been
S1: talking about forever, right? We already know where it's going.
S1: We already know how this is all going to be
S1: stitched up, and we're messing with the individual pieces here. Um,
S1: one of these projects is called Chi. It's actually my
S1: digital assistant. So that when I'm actually teaching the meta
S1: tools of how to do, you know, skills and tools
S1: and tasks that I'm just going to have to do,
S1: you know, universally going forward. So a good example of
S1: this is, um, I recently taught Chi how to draw
S1: animations using Grant Sanderson's stuff. So he's the guy who does, uh,
S1: three blue, one brown or three brown, one blue. So animations, math,
S1: animations of whatever. Well, now I can send it a
S1: prompt and say animate this. So I sent it a
S1: prompt of the solar system and it drew it. It
S1: drew it and it animated it, and it opened it
S1: up and showed it to me. And I'm like, this
S1: is absolutely insane. I've got another one, which is like
S1: a knowledge map. So I'm going to be able to
S1: take other projects. My blogs are sitting right next to
S1: it in a directory, all markdown files, all normalizing canonicalized now. Right. So,
S1: so they're canonicalized. So they have all tags in them.
S1: They're all marked up. They're all clean. So I could
S1: just be like, hey, pull the pull the knowledge from this.
S1: And you know, map that in this new graphing function
S1: because I've got this graphing knowledge map and I'm teaching
S1: Chi right now how to use this library, how to
S1: use this GitHub project to do this with any knowledge
S1: that I give it. Right. So it's just like these
S1: small universal tools which are getting so good they just
S1: become skills that it has. So collecting data, collecting data
S1: from sources, um, rating the quality of a source. Right.
S1: Because when I'm doing like these collections and I'm making
S1: graphs based on them and, you know, if I want
S1: to publish them or whatever, I need to be able
S1: to point and say, look, this came from here, this
S1: came from CDC, this came from so-and-so French agency that
S1: puts out data or whatever. Um, but you got to
S1: be able to show your work. Otherwise it's just pretty graphs, right?
S1: So all of that just becomes core components built into
S1: this thing. All right. So yeah, that very exciting stuff.
S1: The other side of this is I'm basically manic about that, right?
S1: I'm manic about that. And I'm morose about the way
S1: I see this affecting humanity, because the way I see this,
S1: I wrote a post a long time ago, maybe like
S1: 2017 or something called, uh, The Bifurcation or something like that.
S1: And it's like the separation of people. And it was,
S1: I don't know, somewhat readers and non-readers I was talking
S1: about just like how some people just can't get enough
S1: and they're crazy ambitious and they're always trying to learn
S1: things or whatever. And the rest of the masses are
S1: just like, yeah, haven't read a book since high school,
S1: and I hated it then, you know, haven't read a
S1: book since college and I hated it then. So it's
S1: like they've never really read or studied for fun. And
S1: I'm telling you, people like that are unbelievably screwed, right?
S1: If you do not have learning as, like part of
S1: your core DNA right now, you you are just absolutely screwed.
S1: And it's not like it's 50 over 50. It's not
S1: like it's half and half or like 60% or hardcore
S1: learners and 40% art. It's more like 10% or 5% are.
S1: Or maybe it's 2%, maybe it's 1%. Right? But this
S1: is the group, whatever that small percentage is that sees
S1: all these tools. Right. And like I'm in these communities
S1: with like, uh, all my friends are doing this, I'm
S1: watching other people do it on online or whatever. It's like,
S1: this community is so excited right now. They're just building
S1: stuff all the time, just like I am. So in
S1: one world and I live in the Bay area, so
S1: it's like I'm living inside of this world as well.
S1: It's like one world. It's like, oh my God, can
S1: you believe this is possible? And it's just like constant
S1: shock on our faces. And then there's this other world
S1: of like, I. What are you talking about? Isn't that ChatGPT? Yeah,
S1: I use it sometimes. I don't know, but it hallucinates
S1: a lot. So you can't really trust it. And I'm like, well,
S1: that person's screwed. It's like a completely different universe that
S1: we live in. Completely different universe. And what I'm trying
S1: to figure out is like, what can you say? How
S1: can we get more people into that world? How can
S1: we convince more people that this is a critical skill? Right?
S1: And it's hard because if they're already not readers, if
S1: they're already not into the whole learning thing, then like
S1: giving them a better tool for learning is going to
S1: be difficult. But we've got to find a way. I
S1: don't want to just give up on these people and
S1: just be like, well, I guess they're screwed and just
S1: kind of move on and be like, well, it well,
S1: it sure is fun to build with cloud code. That's
S1: what makes me morose. So I basically oscillate between. This
S1: is the saddest thing ever because I look around at
S1: all these jobs, all these people who have jobs, who
S1: think AI is ChatGPT and they use it once a month,
S1: you know, for 15 minutes. And I'm like, the economy
S1: is going to crash. This is what I'm honestly thinking about. This.
S1: This economy is going to have a massive, massive disruption
S1: because these folks here who who don't think of AI
S1: in this way, they're going to get fired. They're just
S1: going to get fired. They're going to get replaced either
S1: by a smart person who could do nine jobs all
S1: at once because they understand AI a little bit, but
S1: then eventually just by AI itself. Right. And who knows
S1: the timelines and all that stuff. You you saw the debate.
S1: That could be tomorrow. It could be in four years
S1: from now. Who actually knows? It actually doesn't matter, right?
S1: Don't even care about that. What matters is, you know,
S1: the direction stochastically. You. You know this for certain, right?
S1: And there is another caveat here, which is legislation. But
S1: what could the legislation possibly look like? They're like, you
S1: can't fire your human workers anymore. Well, that just that
S1: just tells like all the workers like you could do
S1: whatever and they can't fire you. Like it's some crazy
S1: union stuff. And I don't think it'll be that extreme,
S1: although there is some extreme stuff happening in New York City,
S1: so who knows, maybe something like that will happen. That
S1: could definitely slow things down. Uh, big sort of terrorist events,
S1: I think, that are like planned or assisted, planned by AI,
S1: that cause major disruption, that could cause some legislation. But
S1: other than that, I just see kind of normal non
S1: I would say non-crazy people about AI, people who aren't
S1: forget AI, not crazy about learning, not crazy about building,
S1: not crazy about Progressing and evolving that mentality because the
S1: tech doesn't really matter, right? We've we've always had people
S1: that were like that and weren't like that. Right. And
S1: previously the tech was like reading and computers. Right. And
S1: you know, tech in that sense. Um, and obviously people
S1: who are fluent with computers and really good readers and,
S1: you know, could write well and all that, they have
S1: a massive advantage. This is just taking that same advantage
S1: with a different tech and magnifying it by a thousand.
S1: That's what this is right now. And it's really hard
S1: to watch when you think about what is likely to
S1: happen to most people. Um, and then I'm like, okay,
S1: what am I going to do to get myself out
S1: of this mindset? And I'm like, well, I've got to
S1: help build. I got to help with government. I've got
S1: to help get someone elected who's actually, uh, you know,
S1: centrist and actually cares about poor people and, um, isn't
S1: going to break the economy and move us towards communism,
S1: or go extreme right or extreme left. Like how do
S1: how do we do this? All these, all these powers,
S1: all these tools that we have? Can I use something
S1: like substrate to build a platform that is democratic, it's transparent.
S1: It uncovers, um, corruption. It provides, you know, an auditable
S1: government for ourselves where we feel like we're more involved. Um,
S1: how can we bring this technology to be personal tutors
S1: for everyone, for billions of people on the planet, as
S1: opposed to only the, um, you know, the most academically
S1: focused cultures having it? Why can't we give it to everyone? Right.
S1: So I'm thinking about like. Basically, what are projects that
S1: I could do that can maybe help solve some of
S1: this problem for people who are going to be left behind.
S1: And right now that's largely substrate. So I'm working really
S1: hard on that. That's going to be like my main
S1: thing for the next couple of weeks is trying to
S1: get that spun up with a lot more data, a
S1: lot more ideas. Um, maybe a whole site around it. Um,
S1: domain and stuff like that. But the concept here is like,
S1: I don't want to be sad about it. I don't
S1: want to just, you know, have an apathetic attitude toward it. Um,
S1: I definitely am not going to have, like, an elitist
S1: attitude towards it of like, well, we're just special and
S1: they're just not special and therefore we deserve with a
S1: D word, right? We deserve all these things because people
S1: just don't want to read books and they don't want
S1: to play with AI. That's a shitty attitude to have to, um,
S1: as is the attitude of like, well, there's nothing I
S1: could do to help them, right? So it seems like
S1: the only third rail there is fucking try to do
S1: something and and before, you know, you kind of have
S1: an excuse. Well, what can you do? I can't possibly
S1: research all that. I can't possibly find all the different
S1: donors who are giving money to these politicians. I can't
S1: possibly build an entire government transparency platform. Well, yeah, now
S1: you can. Now there's no excuse to not being part
S1: of the solution. So that's the mindset I have right now. And, uh,
S1: anyone who wants to help, please reach out. I really
S1: would love some ideas on this. Uh, ways to take threshold,
S1: not threshold, uh, substrate, uh, along these lines and, uh. Yeah.
S1: All right. Next one here. Um, Marcus posted a YouTube video,
S1: and he did an intro of the video, just like
S1: I did, where he basically laid out how he doesn't
S1: believe in AI. He, uh, basically completely opposite views to me, uh,
S1: which I thought was cool. I thought it was a
S1: cool intro. And I got the link there. Project Hail Mary.
S1: One of the coolest books we've read in UL. Book
S1: club has a trailer out and the trailer is out
S1: and you got to go check it out. It looks
S1: really good. It looks like they've they've done it well.
S1: It felt like a book when I was looking at
S1: the trailer, so that's a good sign. The big question is,
S1: what is, um, you know, the the alien going to
S1: look like. Uh, so I can't wait to see that,
S1: but it looks promising. Network. Chuck did a whole video
S1: on Telos and his process of trying to go through
S1: the the whole Telos exercise, and it was really good.
S1: And it was also the honesty and the vulnerability that
S1: Chuck shared in this was really, really endearing and really, really, um,
S1: I just loved it. And, uh, hats off to him to,
S1: to put himself out there like that and, uh, continue
S1: doing the good stuff that he's doing. All right. Cybersecurity
S1: US agencies warn Iran that hackers may target critical infrastructure
S1: during Mideast tensions. So FBI, NSA, everyone's basically saying that
S1: this is likely to happen, especially around USA slash Israeli, uh,
S1: operations or companies. DOJ says that in 2018 Sinaloa Sinaloa
S1: Sinaloa cartel hacker used FBI officials phone to track their
S1: movements and identify informants, and those informants were then intimidated
S1: and or killed. Switzerland. Government data is stolen in a
S1: ransomware attack. A whole bunch of it. 1.3TB of government
S1: data now available. Free. Google fixed the fourth Chrome zero day.
S1: Persona is a really cool technology. It's, um. This is
S1: actually a company, so I'm not sure how they made
S1: it in here, but, um, 75 million blocked attempts means
S1: there are probably way more getting through to other systems. And, uh, yeah,
S1: they basically try to counter, uh, I fraudsters. So it's
S1: basically a whole bunch of AI to counter, um, you know,
S1: corruptions and fakes and fraud and stuff like that. So
S1: a really cool, uh, company not involved with them, but
S1: would love to be, uh, Chinese hackers hit Canadian telecom
S1: using 16 month old unpatched Cisco flaw. US House has
S1: banned WhatsApp because they don't like the data handling practices
S1: of meta and AT&T. Finally rolls out SIM swap lock, which, uh,
S1: they have not had in previously. Uh, Verizon and a
S1: bunch of other companies have had it, but, uh, took
S1: a while for AT&T to get it. National security. China's
S1: mosquito sized spy drone. So small you might not not
S1: even notice it flying around your house. And it's got
S1: tiny cameras and microphones. Holy crap. This is where I
S1: tell you to read Kill Decision by Daniel Suarez. As
S1: per requirement, AI cloud code gets hooks. So now you
S1: can auto execute functions from your AI conversations. Meta creates
S1: a new superintelligence lab and they hired a whole bunch
S1: of OpenAI people. It's kind of funny. It's like Sam taunted, uh, Zuckerberg.
S1: And he's like, yeah, they didn't hire any of our people.
S1: And a week later, Zuck is like, oh, really? And
S1: hires like five or something or more of like their
S1: best people or really good people anyway. I don't know
S1: how good they rank, but really good people spends like
S1: billions of dollars, I think literally billions of dollars on this.
S1: And now everyone's like, hey, maybe meta is the place
S1: to work. So yeah, don't, uh, don't taunt Mark Zuckerberg.
S1: That's my lesson. Marc Benioff says that AI now does
S1: half of the work at Salesforce. He's got some cool
S1: stats here, but again, he's selling an AI product. So
S1: I don't know. You got to you got to weigh
S1: that in. Google brings AI search to YouTube. So they're
S1: basically doing a lot of summaries of videos. And I
S1: think this is heading in the direction I've been talking about,
S1: where I actually makes the deal version of the content
S1: for you. Right. The actual future is that your own
S1: personal Da would do this for you. So basically it'll
S1: see this YouTube video of whoever pop up, it'll go
S1: read the video, watch the video, whatever it does. And
S1: it knows what you're doing at the time. Okay. If
S1: you're on a bicycle ride, if you're on a hike,
S1: if you're on a whatever, you're driving and it's like
S1: you can't pay attention to the screen or whatever for
S1: whatever reason, or maybe you don't even like to watch video,
S1: it'll give it to you an audio version, but more importantly,
S1: it cut it up. It re-edited it for you in
S1: the way that you like it. Right? So it made
S1: a complete net new video. It might have deepfaked the
S1: actual original creator, but it might have just put your
S1: favorite person on there. Maybe it was Taylor Swift or
S1: Richard Feynman who actually gives you the content. So dynamic
S1: custom content. That's what we're going to see from AI.
S1: And this is just like an intermediary step of that.
S1: It is Google providing the AI summary of the content,
S1: which also came from Google. But you see where it's going.
S1: And I think creators need to be very concerned about
S1: this and be thinking about the future, because it could
S1: be that raw content is not really the thing anymore.
S1: Raw content just becomes literally raw material. And here's the
S1: problem can raw content ever compete with someone's personal digital
S1: assistant who knows them better than anybody in the entire universe,
S1: who is also an expert in creating content? Can the
S1: original source make a video better than that? All knowing,
S1: super smart, super creative AI can make for their favorite person?
S1: I think the answer is probably no. Now there are
S1: going to be a whole bunch of exceptions to this,
S1: and it's not going to happen overnight, right? So these
S1: things aren't emergencies. They take time. But so one example
S1: is like you're a celebrity, okay. If there's a celebrity,
S1: you like the way they talk, you like the way
S1: they look. You like their jokes. Well, maybe that doesn't
S1: get deepfaked because maybe the deepfake doesn't copy that perfectly right.
S1: Or maybe it's just human. You just like to watch
S1: humans do their thing right? We see this in chess,
S1: and chess is more fun and more popular than it's
S1: ever been right now because people have real, actual stories, right? Um,
S1: Ganesh like, uh, winning and Ganesh losing and, uh, you know, uh,
S1: Magnus winning and losing. Like, I care about that. I
S1: care about that. I care about the Botez sisters who
S1: are grinding, and I care about, um, the younger one, Andrea,
S1: because she's doing, um, techno on the side, and she's
S1: doing modeling, and she's a chess influencer, and she's hella smart,
S1: like her sister. And so there are content creators, but
S1: they're also doing chess, and they love chess. And they're,
S1: I don't know, I think they're stuck at around 19
S1: or 2100 somewhere around there. And then you've got Gotham, who?
S1: I really like him. He does the best like overviews
S1: of chess. Um, he's a really good narrator, and he's
S1: on a mission to get to Grandmaster, right? I love that.
S1: I love that everyone makes fun of him because he's
S1: not great. I think he's like, is he like 2000,
S1: 2200 something or no, 2200 is Grandmaster, I think, or 2400. Anyway,
S1: he's a lot of people think he'll never get there.
S1: But he started having wins, right? I think he had
S1: a win over Magnus, uh, kind of on accident or whatever.
S1: Or he just. He played a really good game, and
S1: Magnus played a bad game, whatever it was. But, um,
S1: that is a human story. Here's a guy who probably
S1: you're not expecting to be a grandmaster, and he might
S1: get there, and he gives you updates on it. So
S1: you're pulling from for him, right? So the question is,
S1: will those sorts of stories, those sorts of human aspects
S1: protect against this? I think it will. There's no question.
S1: It will. The question is how much versus like an
S1: AI influencer, maybe it's an AI influencer who's actually giving
S1: your stuff. Maybe that's the avatar for your actual Da.
S1: And he or she is like the most attractive person
S1: in the world, and they could change their outfits or
S1: whatever to put on a school uniform like Richard Feynman,
S1: you know, teaching at university with the university hat or whatever,
S1: and just be like, yeah, here's how this physical thing
S1: works and, you know, teach you physics or teach you
S1: math or whatever. Um, but the threat to content creators
S1: is like, I'm making all this content only I is
S1: consuming the content. People don't, you know, very few actual
S1: humans are consuming my content because there are millions of
S1: other people, hundreds of millions of other people creating content
S1: and billions of other agents creating content. So it's a
S1: giant content creating marketplace. Um, and for regular consumers, keep
S1: in mind, our bandwidth is limited as humans to consume content, right?
S1: So even if we wanted to, we can't follow all
S1: all the cool people that we want to. I mean,
S1: I got friends whose newsletters I don't even read. I
S1: know for a fact a lot of my friends don't
S1: read my newsletter. They're just too busy. Why? Because they're
S1: content creators, right? And I'll read, um, many of their newsletters,
S1: like once a month, right? But I'm not reading it
S1: all the time. And they're damn sure not reading mine
S1: all the time. Right? We catch a little piece from
S1: each other and we're like, hey, great, great job with that.
S1: It's like, hey, did you see this one? No, I
S1: didn't see that one. Sorry. Right. We don't even have
S1: the time. We don't have the time. Now imagine when
S1: there's ten times more content, a thousand times more content,
S1: a million times more content. The only thing that's consuming
S1: that content is I working for somebody. And that somebody
S1: in many cases is going to be the digital assistant
S1: of somebody else, right? And then they'll just dynamically create
S1: the content for them. All right. Grammarly acquires superhuman. That
S1: was supposed to be bolded. I hate formatting mistakes. Um,
S1: that was my bad. Um, all right. Anthropic turns Claude
S1: into a no code app. Okay, so basically anthropic is
S1: now competing directly with, um, like V0 and all the
S1: other app makers. So everyone's everyone's converging on the same space,
S1: my content or my comment. There was almost no castle.
S1: Where's the moat? No. Where's the castle? Let's see here. Yeah. Technology.
S1: Cloudflare now blocks AI crawlers by default. They are doing
S1: this crazy model. They're going to start charging AI crawlers
S1: to consume content. So this is the type of thing
S1: that could potentially economically disrupt this whole this whole meta
S1: that I was just talking about. Right. Um, and that's why,
S1: you know, you got to watch yourself with predictions. You
S1: don't know how the economy, you don't know how society
S1: is going to adjust. Um, maybe there becomes this thing
S1: where it's like, maybe we're able to make an economy
S1: where the raw content has value. I find that hard
S1: to believe, but, um, I think it will happen to
S1: some degree. Okay. There will be sectors where where it
S1: does happen or a degree to which it does happen.
S1: Like anything that's a good idea is going to happen
S1: a little bit. The question is what's going to be
S1: the dominant model. I don't unfortunately, you know, and I
S1: create content as well as one of the things that
S1: I do, um, I don't I don't see a crazy
S1: good future for, you know, billions of people are going
S1: to be watching this YouTube video that I put out.
S1: It's not going to be that. It's going to be
S1: I watching that video I put out. And hopefully here's
S1: the only thing I can hope for. The only thing
S1: I can hope for is the Da. Their Da attributes
S1: it to me and you know, shows a picture of me,
S1: or shows a piece of content that I wrote or
S1: says something cool about it and it's like or says, hey,
S1: this is the seventh thing that I've shown you, you know,
S1: from Clint Gibler this week, um, you know. Oh, and also,
S1: he lives nearby. You should go get a coffee. That's
S1: the type of thing that hopefully is going to happen, right?
S1: You should talk to Clint, because Clint is also talking
S1: about a lot of the same stuff you're talking about.
S1: I'm like, oh, really? And my da, my da, whose
S1: name is Chi, by the way. Chi is like, yeah, actually,
S1: a lot of the stuff I've been showing you, like
S1: a lot of those videos that I made for you,
S1: those actually came from Clint's videos. And I'm like, okay, well,
S1: in the future, you know, put like a Clint, you know,
S1: watermark on it or something. And he's like, okay. Yeah, sure.
S1: My bad. Yeah, I'll make sure I do that. So
S1: hopefully there's something like that dynamic that happens. All right. Uh,
S1: meta adds another gigawatt of renewable power to feed its datacenters.
S1: So it's buying, um, okay. Solar, wind, geothermal. I thought
S1: I also had in here. Yeah. They're also, um, doing
S1: nuclear stuff as well. They're buying nuclear stuff. Um, maybe
S1: that was a previous story. Um, all right, humans, scientists
S1: finally pinpoint what wiped out America's bees, and it wasn't pesticides.
S1: I'm going to leave that as a mystery for you
S1: to go. Click noise ruins sleep quality even when you
S1: think you're sleeping through it. I've recently moved to full earbuds. Um,
S1: not Apple ones like actual, um, in-ear, you know, non-electronic earbuds.
S1: And I got a new sleep mask. Oh, I'm about
S1: to do a wirecutter episode for for members, by the way.
S1: So it's going to be like, because I'm super crazy
S1: when it comes to all this, uh, like the best pens,
S1: the best shoes, the best, you know, covers for your
S1: pillows or whatever. So I'm about to do that. Um,
S1: I don't know. I should call it Wirecutter probably get sued, though.
S1: Maybe I'll call it something else. UL wirecutter. I don't know. Um, anyway,
S1: I mask massively upgraded my eye mask, so it's better
S1: than the ms1 that I've been using, and it's just fantastic. Um.
S1: Highly recommend. Eye mask and earplugs. I do have to
S1: have very strong locks on the doors, because I don't
S1: like the idea of of not being able to hear
S1: people sneak up on me. That's the army for you.
S1: Luckin coffee opens up first US stores after beating Starbucks
S1: in China. They just opened up the first two US
S1: locations and they're in New York City. This is basically
S1: the BYD of coffee. Um, so naturally I want to
S1: go there and I wanted to check it out. I
S1: want to sit in the chairs. I want to look
S1: at people there. I want to just see the vibe.
S1: I want to, you know, knock my knuckles on the
S1: table and the chairs and just, like, see what they're
S1: doing different. I want to see, like, how their employees
S1: interact with people. I'm like, fascinated by this whole concept
S1: of like, when one chain wins out over another, what
S1: did they do better? You know, in and out, chick
S1: fil A, stuff like that. Uh, staff at the Louvre
S1: shut down the museum to protest unmanageable tourist crowds. Uh,
S1: I've been once, and it was a hellscape. It was
S1: an absolute hellscape of people who cared nothing about art whatsoever.
S1: They were crammed in like insects and nothing but iPhones everywhere.
S1: And it was, I don't know, it was kind of
S1: the opposite of art. It was the worst art experience
S1: I've ever had was at the Louvre. That's what I'll
S1: say about that. The dollar just had its worst first
S1: half since 1973, and stocks are doing better than ever.
S1: But the dollar is falling and Trump threatens to investigate
S1: Musk's companies through Doge. He also. I didn't see the
S1: actual quote. So I don't know like what level of
S1: grumpiness it was. But, uh, he also somehow alluded to
S1: deporting Elon. And the whole reason for this is because
S1: Elon is now proposing a third political party, because he
S1: is so morally upset with the waste and the budget. Um,
S1: I actually had a debate, a public debate, uh, on
S1: LinkedIn with Marcus. Uh, we made two bets, and I
S1: believe I've now won both bets. Uh, so the first
S1: bet that we made was, um, he thought Tesla's Tesla
S1: stock was going to drop below like $300 or $200.
S1: I forgot what the number was by a certain date
S1: and um, or it would not get above a certain amount.
S1: I forget what it was. Well, it immediately went to
S1: like 400 something and it's now very high. It's like
S1: 300 something, I don't know. Um, but I think I
S1: already won that one. And then what I told him
S1: is that, uh, Musk would break from Trump because of
S1: some moral issue, because of some principle issue. And that happened, uh,
S1: that happened. And the issue wasn't like, you know, child
S1: labor or something. It was balancing the budget and reducing
S1: the debt. And it turns out all that stuff that
S1: Elon was saying about Doge saving money, Elon was not joking.
S1: He was serious. He thought he was actually doing good.
S1: So he goes over there and does all this stuff.
S1: And by the way, a lot of it was really,
S1: really bad. Really bad. Um, I forget the name of
S1: the one organization that just should not have been messed
S1: with the way that it was. And like hundreds of
S1: thousands of people have died because of it. It's or
S1: are going to because of it. And it's like not
S1: all good is what I'm saying there. But the point
S1: is he thought he was doing good. Um, and was
S1: actually trying. It was not like some charade or whatever.
S1: So he leaves Doge kind of gets kicked out of
S1: the whole establishment, and then they're like, hey, big beautiful Bill,
S1: let's raise the debt by trillions of dollars. Let's not
S1: cut anything. Basically multiples of like damage, way more than
S1: any possible good that Doge has done. And so Elon
S1: is absolutely freaking out. That's why he called him a
S1: pedophile in front of hundreds of millions of people. And
S1: it's now why he says he's going to raise a
S1: completely different party called the American Party. So all that
S1: to say is, um, I think, um, I think I
S1: want both of those, um, ideas. Stanford professor made up
S1: that famous chess grandmasters burn 6000 calories. Claim. So the
S1: reason I put this in ideas is because I find
S1: it very interesting that. I learned stuff in the 80s
S1: and the 90s and the 2000 and the tens. We're
S1: still in the 20s. So all those decades I learned things.
S1: How many of those things were just straight? False? For example,
S1: the marshmallow test, how much fundamental? How much did the
S1: belief that that was real lead to mental models in
S1: my brain that are now broken? Um, it's possible that
S1: that particular case didn't actually have those, but what other
S1: things do I still believe are true because of some
S1: crap study that came out that turns out is not replicable. Replicable?
S1: I think the answer is probably large. Hopefully from all
S1: my reading and stuff like that, it's like cleaned up
S1: some of it or most of it, or maybe it's
S1: all gone. Who knows? But I guarantee you, I've still
S1: got some dumb beliefs that some teacher told me or
S1: my parents told me in the 80s. You know, the
S1: food groups, I mean, stuff like that, right? There's just
S1: got to be a million of these things. And, like,
S1: I just hate the idea that, like, the foundation of
S1: the house is, like, got, like, termites or something, or like,
S1: I don't know, nanobots eating, uh, eaten away the, uh,
S1: the the undergirding. Uh, I don't like it. And it's
S1: worth a question of, like, for all of us, you know.
S1: Where is that? Where is that rot? Taste is the
S1: new intelligence. This one should have had a fire mark
S1: next to it. This thing is so good. So how
S1: about Rick Rubin talking about his book? Uh, but it's
S1: a really good full length essay. Uh, go check it out.
S1: Joan Westenberg deleted her entire second brain. Love the idea
S1: here where basically. So she had like, this the super elaborate,
S1: awesome second brain in obsidian. And she basically decided, you
S1: know what? Nah. Nope. Um, I'm spending too much time
S1: optimizing this thing. It's taking away the focus of, like,
S1: actually being good in my own brain and has put
S1: all my effort at being good in the second brain.
S1: So the movement is basically first brain, and she just
S1: trashed the entire thing. I think it's a really interesting
S1: thing to like, not overoptimize. AI is a good example.
S1: Don't overoptimize on AI. It's really anything. Exercise. You know work.
S1: Don't work too much because then your personal relationships, it's
S1: like anything that's a good thing can be a bad
S1: thing if done too much. It's like the most cliche
S1: thing in the world and absolutely worth repeating or remembering.
S1: Schizophrenia may be the evolutionary price. I love articles like
S1: this that are like, hey, you know that thing you
S1: think is bad? That could be a necessary piece of
S1: exhaust that comes after a thing that you think is good.
S1: In this case, they're saying ingenuity, creativity, new ideas. You know,
S1: Einstein type stuff where, oh, maybe it's just space is curved.
S1: You know, maybe that requires that something like schizophrenia exists. Discovery.
S1: How to use markdown. Been book uses AI to turn
S1: coffee bag photos into detailed brew logs. Hmm. Proxy cloud
S1: code requests through Cloudflare. Aging related inflammation isn't universal. The
S1: developer built an AI Dungeon Master that runs in the terminal.
S1: This thing is really cool. Um. James Webb takes first
S1: directional exoplanet photo local LM notepad on a USB stick.
S1: This thing is so cool. Uh, Joseph and I have
S1: been talking about this. Joseph mentioned it to me first.
S1: He's like, hey, you know, how do we have, like,
S1: a local thing of knowledge? You know, worst came to worst.
S1: I want to be able to ask this thing, you know,
S1: how to restart society or something like what's a small
S1: version we could do? Well, here's one that's on the
S1: USB stick and custom voice agent tutorial. Okay, this is
S1: the end of the standard edition of the podcast, which
S1: includes just the news items for the week to get
S1: the rest of the episode, which includes much more of
S1: my analysis, the ideas section, and the weekly member essay.
S1: Please consider becoming a member. As a member, you get
S1: access to all sorts of stuff, most importantly, access to
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S1: people in industries like cybersecurity, AI, and the humanities. You
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S1: that gets you the full member edition of the podcast
S1: that basically doesn't have this in it, and just goes
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S1: to become a member and get all that, just head
S1: over to Daniel Store.com upgrade. That's Daniel Miessler upgrade and
S1: we'll see you next time.