AI Takes Over
You say it with me. Okay. +1 23. 3. Clap.
Dax:Is that gonna help?
Adam:Maybe it'll help.
Dax:Hopefully, it'll help them.
Adam:Hopefully.
Dax:So there's been a lot of AI hype, and I don't know anyone that's partaking more than Adam. Oh, jeez. So tell me about it. I know you hate this, but it is true.
Adam:I just I feel like one of the, like, NFT guys or, like, the crypto bros. And then, like, you've been hard into the blockchain space, Adam. Tell me about blockchain. I feel like AI is kinda getting that reputation of, like, the thing after crypto. Have you heard that?
Adam:It's not totally wrong, but it's also kinda weird because AI has been, like, serious scientific research for decades or whatever.
Dax:Yeah. I think when stuff gets hyped, there's always gonna be that that group. And I I agree that AI isn't as BS as the previous waves of NFT and all that stuff. But I will say there the a whole crowd of people that moved here to Miami because of the crypto wave, a lot of them are recently leaving to go to SF to jump onto the AI wave.
Adam:Really?
Dax:So that type of person is definitely, like, you know, going through the through the cycle.
Adam:Okay. So that's why I kinda cringed or just kinda, like, died inside a little bit when you're like, so Adam, you've been going hard in this space.
Dax:Tell me about it.
Adam:Because I don't feel like I'm one of those people.
Dax:No. Definitely not.
Adam:And I haven't gone hard down the AI space recently. I feel like I just like cool things that come up. When there's cool products that I can, like, hit a website and play with, I like to do that. And there's been a lot of cool products that fall under that umbrella, and I've played with them.
Dax:Well, what kind of stuff have you tried so far?
Adam:There's so many different it's like generative stuff. So we've got all the, like, image generation and now video generation, that whole space. So the, like, Dolly kinda and mid journey kicked it off, and now you've got stable diffusion, which is like an open source version of it. Like, taking text prompts and generating images that are insane. I mean, you most people have seen this stuff at this point.
Adam:There's that whole section of AI. There's like so we, you know, we built Stat Muse back in 2014, and and we're trying to do, like, question answering. So now there's a way better question answering using these LLM models or whatever large language models. So ChatGPT where you can ask it, text, and it understands it and responds with a bunch of text. That that angle.
Adam:And then you've got, like, all the other generative things, generative audio. Basically, anything that humans create, people are now teaching computers how to create it as well. I feel so dumb like I'm some expert on this stuff. I don't I don't know anything. I just know I've played with most of it because it's very interesting to me.
Adam:But there's so many, like, debates about every single piece of this technology around should computers just be able to generate art that's copying real artists? What does that mean? Don't real artists copy real artists? Like, what's the difference? There's all these kind of questions.
Adam:Okay. I'm I'm now just into the realm of saying words that you didn't ask for. So I'm gonna stop.
Dax:No. I mean, that's I think that's a good thing to get into. I mean, it's it's yeah. None of us are experts in this space, but the thing that's happening right now is these tools are becoming available to non experts like us to integrate into the last mile of whatever we're building. So that's what's exciting about it and I think there's a lot to think about where where it is useful.
Dax:There's so many companies being started that are like quote unquote AI companies now. Does that make sense or is it more like, okay, these tools now show up in like little features of existing products? I mean, the the thing you talked about also the the debate around like, the whole art angle of it, like, what you have thoughts on that? Like, how do you feel about that whole conversation?
Adam:I mean, I'm not an artist. So I feel like you should take my opinion with a grain of salt. Though, well, Copilot or CodeWhisperer or one of these, like, models that are helping us write code faster. They're just copying works from people like me who write code and contribute it to GitHub. So I guess in that sense, I can kind of put myself in the artist's shoes and say, like, do I care that people can use Copilot and write code even if it were copying straight from a repo I contributed?
Adam:No. I don't care, but that's me. And I I don't feel like I can say an artist shouldn't care because, like, they care. Like, their emotions, their feelings about the situation are valid whether I think they are or not. There's the legal side of it.
Adam:It's not just people's feelings being hurt. Like, what what does copyright mean in this world where, like, law doesn't it trails. Right? And, like Mhmm. Legislation didn't account for computers ripping off people's work.
Adam:I don't think. So I think, like, that all has to play out from, like, an actual copyright law standpoint. And then there's, like, the ethical side, like, no. It's stealing, people say, and maybe. I don't know.
Adam:It doesn't feel like stealing to me. It feels like putting a bunch of information in a big blender and blending it up and spitting out stuff that's interesting. But I don't know. Maybe that's just what the maybe that's what the AI bros say. Maybe I'm just one of them now.
Adam:I don't know.
Dax:Yeah. I mean, on the code side, that one's been interesting to me because like you said, like, we can relate to that because we're you know, that's a content we produce. I also have no problem with it because to me, I don't really look at it as anything different than a much better search engine, like the UX, like a search engine with a much better UX. Yeah. Like there have been times before where I could think of some very specific examples.
Dax:Back when I used to configure webpack, I would get stuck on some option and I would search code that looks kinda like the code I'm writing into GitHub and I would find some example and I would try it, copy paste like what they had and I would try it and it would work. And I don't think anyone really has a problem with me doing that. Right. But Copilot just like simplifies that process of doing that for you with much better search results where it's kinda like Yep. Oh yeah, this is probably what you were looking for.
Dax:So to me, it's just it it's like an iteration on the same product. It's like search project product that GitHub has had forever, but it's been like a 100 times better. I've always felt weird about the code copyright thing. I, like, can't think of any code I've ever written that's like be like, no, this is intellectual like all of it feels so trivial and obvious to me that someone copying it, I'm like, they could have probably come with that on their own. They're just saving time.
Dax:So it's like hard for me to really feel like this is my property. I never felt like I really invented anything.
Adam:Yeah. No. I agree. I think to put myself in the artist's shoes, there are these models that can, like, do style transfers. So you can say, I want a picture of, like, a panda on the moon in the style of Monet.
Adam:In that scenario, you're literally, like, having the AI mimic this person's style. Does that dilute their style? Like, the on the Internet where everything just gets uploaded and it's all just data coming down to your browser, do we start to have so many works that look like they were from Monet that you dilute what are actual Monet paintings? Like, do people people know the difference anymore? I could see that argument, like, for people's artistic legacy.
Adam:I don't know. I'm not an artist. So I do think it is a little different.
Dax:Yeah. This this also feels like this also doesn't feel super new to me. I dated someone for a while that was a like, very traditional painter. Like, could, you know, like, paint photorealistic stuff with, a paintbrush. She could do something with with pencil, like, all kinds of just very traditional, art, you know, styles.
Dax:And then she switched to digital art where she would now use an iPad. And a lot of people would say, hey, like, that's not real. Like, you're not like, you're just it's like too easy for you to, like, mimic something that, you know, you wouldn't do in a traditional way. She had those skill sets so like they were just wrong. Yeah.
Dax:But the same wave happened with digital art where people were like, that's okay but it's not real. Like, this is the real stuff or, like, this makes it too easy or too accessible. But at the end of the day, I I just kinda see this as, the same progression on that spectrum. You're making stuff more accessible without the same kind of input.
Adam:Yeah. From, like, a creative explosion on the Internet standpoint, I think it's all net positive. I mean, it's like Steve Jobs always said like the computer, the bicycle, the mind thing. Yeah. I think it's just like this is a motorcycle for the mind or something.
Adam:This is like AI tools allowing people who don't have visual design skills to create I mean, for me, it's like I create all the podcast covers now with one of these tools because it's like I can just say my idea for what I think it would be cool if it were that, and then it can just generate something that looks pretty good. That's a thing that's now accessible to me that I couldn't I would have to hire someone before. And so in that sense, I think it it does open up anybody can create anything in some future whether that's video content, whether that's original written works that are augmented with AI. Like, I don't know. Like, at what point do the lines between a creator and the tools get blurrier and blurrier?
Adam:I know people have feelings about this. I don't really have strong feelings either way. I just think it's it's very interesting to me to see where it's all headed and just the types of things that I just didn't think were possible
Dax:Mhmm.
Adam:That seem to be happening now on the weekly. It's like there's new stuff every week that just blows my mind. Video editing tools that you can just cut stuff out of the video and it just looks perfect. I mean, that kind of stuff, I I just would have thought it was years away and it just keeps keeps coming.
Dax:Yeah. It definitely feels like we're going through a compounding growth now where the stuff for each week is like better than everything from the past six months. Have you tried some of the chat GPT stuff? Have you incorporated that into any of your workflows? Like, how what's been your experience with that?
Adam:Yeah. I mean, like, I played with it obviously when it was when it was first out. I haven't used it in probably a few weeks. I don't know what that says. But when it first came out, it was super interesting to me from like a like a Stack Overflow replacement standpoint.
Adam:Like, just asking it questions. I I think I did it on stream once, like, as I was learning something new, just, like, asking it questions about how do you do this. Or I was revisiting Python, I think. I was doing, like, that some, like, AOC challenges or something. And it was like, oh, how do you do I forget list comprehensions in Python.
Adam:What's the whatever? And it was really great for that kind of stuff because it kinda holds your hand more than than, like, Google will. But yeah. I don't know. It's I've seen a lot of the criticisms for the the language model stuff that it's it's not the ethical thing.
Adam:It's more like it's garbage. Like, it's spitting out random nonsense, and most of the time it's wrong and, like, you can't trust it. So it's probably only for, like, certain, like, cases where you don't need it to be factually accurate. You just need inspiration. So, like, coming up with ideas, I think it's good for, like, brainstorming and things like that.
Adam:But, yeah, if it's wrong on facts, I could see that getting people into trouble, I guess.
Dax:Yeah. I think I've had two experiences with this that have been interesting. So we had a bit of Python code in the SST code base that we copy from somewhere and we just needed it and it worked and it solved their problem. But it was annoying that it was just randomly in a different language. And we but we're never gonna go sit down and like read through it and and rewrite it because none of us are Python experts.
Dax:So it's it's a pain. I think Frank used chat GPT to just rewrite it all in the JavaScript and he cleaned it up and that was great because that would have been sitting there forever otherwise.
Adam:So Yeah.
Dax:That's genuinely a situation that would have never been solved without something like this. Then the other experience I had is kinda what you're saying where as a brainstorming partner, I had to come up with a name for my React Miami talk and I didn't need it to be, like, the most brilliant work of all time is like the title of this talk. Yeah. Yeah. Yeah.
Dax:I just needed to, like, convey certain things. So I just needed to see a bunch of options and iterate and tweak, and that again was a brand new experience where that usually is a solo endeavor. Maybe you're googling stuff, but doing it with ChatGPT, I got to a really great place really quickly and I'm pretty excited to use it more as like a brainstorming tool when I'm writing, like scripts for stuff, like things that don't need to be really artful. Right? Just stuff that you have to hit the hit the minimum for certain things.
Dax:Oh, we use it for documentation all the time actually. Oh. When we're documenting stuff for SST. Like, you don't needed it to be, like, fantastic pros. You just needed to, like, communicate x ideas in a way that makes sense for most people.
Adam:Yep. And it makes sense that it would be good at that because there's just so much software documentation out there on the Internet that it's presumably been trained on. Like, it knows how to write docs for software.
Dax:Yeah. Exactly. And this it's like it's important work, but it's not high skilled work. Yeah. And none of us really enjoy doing that.
Dax:So it just snuck into our workflows very quickly.
Adam:Yeah. It's like so I've seen people say it's like having just like infinite interns Mhmm. That are free at your disposal at all times. It's yeah. It's interesting.
Adam:That that's a whole another conversation, I guess. It's like, what does this mean for the labor force moving forward? I mean, we we've all, like I made those jokes or not jokes, but just thought about, like, wait a minute. When you go to the grocery store and, like, most of the cashiers are replaced with the auto checkout thing, it's like, what does this mean for society? That's the conversation I don't even know how to begin to have because I feel like it's too complicated.
Adam:There's too much involved to it's too complex. So you mentioned docs. Astro did, like, the Langchain stuff where they created a little, like, custom AI assistant. I don't I guess that's based on GPT, not ChatGPT. Mhmm.
Adam:But it uses GPT to, like, scour and ingest their docs. It's using embeddings, I think. Like, you embed, in this case, a bunch of docs for ASTRO into this custom language model. And now you have this assistant that's, like, perfect for answering all your questions about ASTRO, and it cites places in the documentation that you can go back to. It's incredible stuff.
Adam:Like, that's the kind of thing that I think we're gonna see that all over the place. Like, every open source project is gonna have this thing, and somebody's gonna shrink-wrap it into a product where you just click a
Dax:I think I saw that already. I think someone launched Oh, yeah. Probably. Someone
Adam:launched something
Dax:like that. Yeah.
Adam:It's just everything. It's like feels like every single angle of our digital life is kind of being assaulted or enhanced depending on your viewpoint with AI and augmentation in these ways.
Dax:Yeah. What I'm waiting for is right now, these experiences are kind of isolated or, like, they're outside of your normal habits or they're like, I mean, the Astro Doc example is a great thing where they have a separate experience you have to remember to go to to, like, have that type of interface. I want this stuff more integrated into what I'm already used to doing, like, when I'm searching on Google. I don't think a 100% of my Google and this is why, like, people were saying, oh, Google's dead because of ChatGPT. But it's really just a feature like I just want maybe 10% of the searches I do, it makes sense to like push me down this type of experience and I just wanna integrate it alongside everything else.
Dax:I don't wanna like switch my habits to go, oh, like this is probably a good chat GBT question and like go into that website and do things. It needs to be ubiquitous, it needs to be invisible and I think that's probably what we'll get to. That's why I'm a little skeptical about a lot of these new startups that are like, we're building up this AI enables us to build now this AI product. I think what's actually gonna happen is there's existing products where some features of it will be enhanced using some of these these methods but you still need a good core product. Yeah.
Dax:You just have access to, like, these new features that that enhance it.
Adam:Yeah. And if you think about, like, so many products have been enhanced with AI or it's central to them, like social media and algorithm or algorithmic feeds. Like, we've been fed content from some brand of AI for years. It's just like now there's these I think it's the multimedia thing that seems to be exploding, and then I guess the the language stuff. It just opens up all these other applications, existing applications that can now leverage AI to make their thing better.
Adam:But can we talk actually, as I'm saying that, could we just talk about what what is the term AI I mean, intelligence, like, what is the checkbox that something has to check to be artificial intelligence? Because it's all just, like, statistical models. Right? There's nothing actually in the like, the way we think about AI, this futuristic, like, The Matrix stuff that, like I don't know. It's, like, smarter than us.
Adam:This stuff isn't that. Right?
Dax:Yeah. It's probably the same frustration we feel about the word serverless and it being so vague and hijacked by a million things. But we all kinda know what we're talking about. I don't know if there's, like, a clear way to define it. When I think AI, I just mean it's it's like this UX experience that's a little different than our your standard, I'm gonna click this button, do this thing interface.
Dax:It's more like, it's gonna suggest what you do versus I know what I'm gonna do and I'm gonna execute it. So anything that, like, falls into that category, feel like, okay, it's like AI in the sense that it kinda feels like you're interacting with something that's smart even if it's not, you know, literally an intelligent being.
Adam:And and then the next question I guess for me is so if it is just like more intelligent software than we're used to working with, in a lot of cases, it just manifests in the better user experience.
Dax:Mhmm.
Adam:Do we think these things and neither one of us probably has the answer to this. I don't I know I'm not smart enough to answer this question, but I'm gonna ask it anyway. Like, does this stuff do these large giant statistical models eventually lead to some artificial general intelligence where the stuff starts thinking on its own and learning new things on its own and taking over the world. Like Yeah. Is is it are these even, like, steps towards that thing, or is it just, like, a dead end?
Dax:Yeah. As someone that is optimistic and excited by this stuff, like I really hope so, but intuitively, it feels different. Right? These models are really capable and can do a lot of crazy things, but they do stuff that humans cannot do. So I don't think we're recreating a human intelligence here because they can do stuff that no human on the planet can do, but they can't do stuff that every human on the planet can do.
Dax:So these these feel like I'm sure there's like so much we can do as we like continue to go down this direction. I'm sure we can make incredible amazing things. But I'm not sure if that what's at the end of that is, okay, we've created like a new life that is effectively conscious. I I always think about how you can show a little kid like a monkey, like, one time, and for the rest of their life, they'll know what a monkey is. I'm gonna identify them.
Dax:But it's different than we don't we don't have to feed a kid, like, a billion examples of it for it to then, like, build a model around it. So I don't know. Like, maybe possibly, like, as these things get more efficient, they need less input. But these things just feel so different to me that I'm not sure.
Adam:Yeah. And maybe they don't need to be this. Maybe the whole idea of, like, working towards artificial general intelligence is just dumb. Maybe what does it matter if this stuff is able to help us accomplish so much more than we ever could have? And I guess the the the negative side are, like, the fear of AGI, the fear of, like, the singularity and this stuff taking over the world.
Adam:I guess that could happen even if it wasn't human like. Like, if if we hooked up enough of these tools that exist today to the Internet or to the right buttons that they could press, then they'd probably do horrible things in their current state, and they're not that smart. Like, I guess, like, we can be afraid and excited about this stuff even if it's nothing like human intelligence and never will be.
Dax:Yeah. The thing for me is though there's, like, there's certain things where I'm okay dying in a certain way. Like, I'm not afraid of an alien invasion because, like, at least I'll know aliens were real, like, the second before I died. Similarly, if I die because AI took over, like, that's, like, a pretty cool way to go to like, I'm more afraid of just dying because I, like, tripped on something and fell on my face. Right?
Adam:Yeah. No. That would suck. Like, just, yeah, trip in the shower, car accident. No.
Adam:Like, the the mundane ways. But I guess for me, I assume there are aliens. I mean, I assume there is intelligent life somewhere out there. So if they did find us, I wouldn't be like I mean, it would be a cool moment to witness
Dax:To know for sure.
Adam:The history. Yeah. I guess to know for sure. I guess I do I feel like I do know for sure. I don't know.
Adam:But you don't even know
Dax:they look like. Philosophical.
Adam:I don't know what they look like. It would I mean, it would be a cool moment, but I would still be like, they found us. We're all screwed. Like, that would be a bummer of a moment for
Dax:me. Yeah.
Adam:Well, I feel like there's probably, like, 15 areas of AI that we still haven't talked about. Am I am I missing anything super obvious? It is interesting they're all happening at the same time. Like, every week, there's a new paper from some Google academic arm that, like, now they're doing crazy music generation that's better than human music or whatever.
Dax:Yeah. I did see that. Like, did you did you go through the examples that they had?
Adam:I listened to, yeah, a bunch of the waves.
Dax:Yeah. What I like about all this stuff is that it's providing combinations that no one would bother doing in real life. Like I forgot some of the examples that they had but it was always a mix of like two two genres that you would never put together and it just gives you like this, oh, like yeah, that is really funny or like like that just would not exist otherwise because no one is gonna like go spend the time, like, learning these two things and combining them. And same thing with the with, like, the style transfer stuff on the, on the image the AI image stuff. You just get these really hilarious combinations of things.
Adam:With the Monet example, if you really are a fan of his style and the works that Monet put out there in the world, why not have more of them? And why not have modern concepts painted in that style? I mean, I again, I'm not Monet. I'm not, like he's not one of my ancestors, so I'm not, like, the family of Monet who's pissed that AI is like Yeah. But it does seem like this this ability to give anybody like, we all have creativity in us.
Adam:Mhmm. If everyone had more tools to express that in higher fidelity ways, I just feel like that is a positive for humanity. But I don't know.
Dax:Yeah. I I feel the same way. I feel like the ideal situation we get to is everyone's spending most of their time getting to be creative and as little time as possible doing stuff that's tedious. And I think right now, you know, a lot of our day to day work is a lot of tedious stuff that it went away, we would just replace with more creative work. And we've been able to do it in the past hundred years, like, that's already been like huge massive change.
Dax:And I just wanna see that keep going. Just have more people to be in that situation and to a higher and higher degree.
Adam:Okay. So I can't I can't not ask this now. I'm gonna break into the societal and, like, philosophical whatever. What about so is this very near to me, very practical, Recycling in Nixon, Missouri where I live goes weeks at a time now without being picked up because there's not enough people working at that specific facility or for that company. It's like a third party.
Adam:It's not the city. Mhmm. But they they just can't get the labor to pick up recycling or trash reliably week to week. There are really just bad jobs, like jobs nobody wants. A lot of them that we have not figured out how to have robots do.
Adam:Like, how how does this all shake out if I think the the knowledge worker class, our lives just keep getting better better really for these reasons. Like, these tools are gonna make it easier, less tedious to do our jobs, and hopefully make it where more people could enter into these knowledge working fields because there's lower barriers. But I guess, like, until we automate all the really bad jobs, does this not create this even more drastic and accelerating divide between people who get to sit at a desk all day and people who have to pick up garbage? I don't know. Is that a terrible thing to say?
Adam:As I said that last sentence, I felt very politically incorrect or something
Dax:when I said it. The thing you're getting at is a a thing people feel, and I think it just comes down to how you view the world. Whenever I see these advances, I don't think of it as like a zero something where now that some people's lives are better, they like took it away from other people.
Adam:Right.
Dax:I think with a lot of this stuff, it just makes a whole pie bigger and creates more opportunity for everyone. If there's less work I'm spending on tedious stuff, I'm doing more important work that's having a bigger impact on the world. It's creating more opportunities for other people. I think pretty much everything that most people do I mean, there are some companies and organizations that are that are zero sum, like, they're just extracting value from certain things. Yeah.
Dax:But most of us, the jobs we're doing, we're usually enabling other people to do stuff with with less effort. And that all that all is good. And I think these are two separate problems. Like, are people that don't have a lot of options. Like, don't have a lot of opportunities.
Dax:And Yeah. Their lives are not gonna get better until they can they have 10 times as many things to choose from. And this stuff doesn't help or hurt it. I don't think I really don't think it hurts it. Yeah.
Dax:And I think it it can in a lot of ways ways help it. It like unlocks people to focus on some of these problems if they're less resources going to other places that are more obvious. Again, I'm pretty optimistic when it comes to all this. I think I've seen myself, the people I know, like people in my family, go from, you know, being in situations I didn't have a lot of opportunity and I've seen them get to much better places. And it's because a lot of this stuff has unlocked barriers for them and things that, you know, hundred years ago, they would have never been able to climb out of the situation.
Dax:Definitely nowhere near as good as we need things to be. Like, I'm not saying things are great, but I really do feel like we're going in the in the right direction.
Adam:Yeah. I think I'm generally an optimist too, and I don't know, if I really expressed what my question there was or if I know what my question was. I don't think I'm very controversial person, but I do I know I've had these conversations with my wife where it's like, I don't think anybody should have to do those awful jobs. I hate that anyone has to, but also, like, we haven't figured out how to to just have our modern society without those types of jobs in the workforce. And it does seem like our generation or something about the generational ebb and flow.
Adam:Like, we have a smaller pool of people Mhmm. Than the baby boomers or whatever. And modern day society maybe can't handle some of that dynamic, the shifting generational tides. Like, we're in a low tide, not as many people to do a lot of jobs, and there's still a lot of jobs to be done. Maybe that maybe that's not a common thing, but I know we feel it here in the Ozarks where, like, construction, it took forever, literally forever to get our landscaping not literally forever.
Adam:It was so over overdone. We waited, like, months. We were in a home without it was just dirt. And I know these are, like, first word problems, first world problems. Like, we built a home.
Adam:We had to wait six months to get a lawn. That's not a big deal. But it is sort of, like, pointing at this symptom, which I'm trying to highlight, which is a lot of physical world jobs still have to be done, and there's not a lot of people to do them. And then I think of AI making it where there's even fewer I don't know. I don't know what I'm getting at.
Adam:I don't know. I'm gonna stop talking.
Dax:Yeah. I mean, I I I get what you're getting at. And in a lot of ways, that's indicative of something good that's happening because maybe those jobs weren't as unappealing as appealing and those people found other things to do, which is which is good.
Adam:Which is great for them and I want that to be the case. Right. And then it's like, but as a society, how do we solve, like, getting trash out of our neighborhoods?
Dax:I mean, to me, it's just the only way to solve this stuff is I think people take it two ways. You can either, like, I call it regressing, like, you know, demand less of your life. But I don't think that actually works. I think the only way to really solve this stuff is we try to create so much abundance in other places that even if there are people doing work that isn't super appealing, they're compensated in a really good way or their quality of life is really high.
Adam:So I've thought about that. Why yeah. I know, again, I don't have the knowledge or this the world's complex. But I've definitely thought about, like, why don't people doing the the worst jobs get paid more than the people doing the really easy jobs? Yeah.
Dax:Because they don't have a bunch of opportunities. So if they can, like, pick between 10 things, someone the system has to shift to, like, compensating them really well
Adam:Gotcha.
Dax:For this thing that maybe isn't as appealing. So for me, it always comes down to, again, lowering barriers, giving people more options, like letting them figure out what they wanna do. Anything that enables that, I think Yeah. Does put pressure on these other areas to to correct themselves or to to rebalance.
Adam:Okay. So then is there a glimmer of hope here? I know this started out on AI, and I've I've turned it into, like, something entirely different. But is there this hope that I can build a picture in my mind now that, like, as a person living in this neighborhood up to my ears and trash, I can hope that I would pay more to in taxes and whatever to make sure the people who now have more options and can choose not to pick up trash can get paid better because society has decided this is an important thing to us, and we'll pay more for it because we've created so much abundance. Is that the silver lining or the way I can look at this as a positive optimistic outlook?
Dax:Yeah. To me, that's the only way this stuff ever gets fixed in a sustainable way. Anything else is like a temporary charity type situation where you maybe patch over a problem which is fine to do to like alleviate stuff short term but long term like this is the only way things have ever gotten better. It's the only way quality of life has improved, it's because something came out that created a massive abundance and we're able to redirect those resources to different places. And there's tons of like micro like you're saying, it's all complex and there's tons of micro problems with all this stuff but as a general feeling, it's just good when people get more opportunities to do things.
Dax:It's it's always a good thing.
Adam:No. It makes sense. Okay. Sorry for that. Whatever that was.
Adam:I'm just I can't stay on a topic. We could start talking about anything and I could end up on anything else.
Dax:No. This is completely fine with me.
Adam:Okay. So AI. Maybe AI is that thing that's gonna create all the abundance.
Dax:Yeah. Whatever
Adam:AI is as a term.
Dax:Whatever it encompasses. I'm seeing a lot more people do stuff that they wouldn't be doing five years ago. So that's just objectively good. I have no issue with that.
Adam:Okay. Do we have anything else to cover on this?
Dax:No. I think that's that's everything. That was good. Alright. That was fun.
Dax:See you.
Adam:See you, Dex.
