112 lines
9.2 KiB
Plaintext
112 lines
9.2 KiB
Plaintext
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Episode: 4352
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Title: HPR4352: Why grandma, what large language models you have.
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Source: https://hub.hackerpublicradio.org/ccdn.php?filename=/eps/hpr4352/hpr4352.mp3
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Transcribed: 2025-10-25 23:29:58
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---
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This is Hacker Public Radio Episode 4352, for Tuesday 8 April 2025.
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Today's show is entitled, Why Grandma, What Large Language Models You Have.
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It is hosted by some guy on the internet, and is about 10 minutes long.
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It carries an explicit flag.
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This summary is Eskody Talks about Large Language Models and Digitification.
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Welcome everybody, let's talk about the large language model.
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Now these are just my opinions.
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I'm not trying to influence anybody to think as I do a subscribe to my way of thinking.
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However, I think this may be of interest to hackers.
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So I've been seeing a lot of discussion lately about language models and
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more specifically the use of language models in development.
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So very influential podcasters and some writers are discussing the use of language models
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and how they can, and I hesitate to say this part, but turn it.
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Even you want into a software developer.
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I know you've heard it.
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People that we all would recognize the name of, you know, some individuals who created
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distributions and things out there have discussed using language models and hear them
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mention things, they're, oh yeah, I don't know much about that language.
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And I used them LLM to just create some apps in that language, but the dirty little secret
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that they're kind of what I want to say to the dirty little secret, but like the hidden
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F statement is if you are not a senior software developer with multiple languages and concepts
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underneath your belt, that is you're not going to have the same competency with this stuff.
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So sure, you might generate something and it may compile, but in no way does this make you
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a software developer, you know, you're not, you're not going to be putting your resume
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rust developer because you manage to use a language model or whatever to gin up some
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single purpose app, right?
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And matter of fact, since I use rust, you know, the language that's always being bandied about
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is being safe, right? You know, they just throw that around as though the language itself is safe
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by default, right? Like it's just safe.
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The reality is you can take any tool and use it in a positive way or a negative way.
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The language itself is not just safe, just, you know, just because, you know, how people like to flex
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about it on the internet, but whatever, we're not going to go that direction. So you're going to have
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a bunch of normies, you know, random folks out in the office who, you know, they can't even tell you
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what browser you're using half the time, right? They'll call anything chrome and to be honest,
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what you're most of it is, right? Is it some fork of chrome?
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Yet you'll equip them with the tool that leads them to believing that they're developing software.
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And now from these influential individuals that I was kind of listening to earlier today that drove
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me here, they were talking about things like creating single purpose apps to, I don't know, scratch
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your own it, right? One of the examples were they wanted to download some things off of the internet.
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So rather than trying to go through it manually, this individual loaded up a language model,
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told it what he wanted to do, and it created a single person's single purpose piece of software
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to pull down the packages for. Jobs are good, right? Well, here's where I have the problem,
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because we're not encouraging people to not do terrible things, right? The internet is already
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suffering from something called inshitification. Not my term, by the way, episode will be marked
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explicit because of that, but rather than influence better behaviors, you know, because I mean,
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the thing that this individual was talking about, there were multiple episodes, but there was
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like no, I want you to imagine seasons of a podcast, right? There are four seasons of this podcast.
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This individual just discovered the podcast, they're on the fourth season, and they want to go back
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and download, like say the first two seasons, so that they can go through it and enjoy it from the
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beginning. Well, there is no download season one button, which would solve a lot of the problem,
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right? So instead of just having downloads season one or season two or previous seasons, whatever,
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you know, big old tarball or get the, what do we call the thing? Tour, magnet, any of that? No.
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You use inshitification to make it just this process, where someone has to feel like, oh, okay,
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now I'm just going to have to go out here, clear a rain forest. We're going to have to ship some
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GPUs from one country to another, then across that country to the location, hook them all up,
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you know, Yadia, you know the carbon footprint deal, right? You know, wrap that foot,
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print up through the roof, just so you can use this general purpose language model to reverse
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engineer shitification. Now tell me, where in the world does any of that make sense? It makes
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no sense at all. You're not making anything better. You're not equipping anyone with any tools.
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This, this reminds me of that same situation you get, where the, you'll have your project manager
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coming there, right? And they'll tell you, hey, we got a great idea. And we, we need you to develop
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them to just come up with some proof of concept, right? But you know how that is, don't you? They got
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hidden if statement in that as well, right? The hidden if statement is if it works, it's production.
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So you go ahead and whip up this quick and dirty example that they want, you know,
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something that'll just show them that, oh, okay, that was my chair, by the way, my chair's
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to grow. You whip up this quick and dirty thing here. And they go, great, this is master or main,
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you know, whatever. This is main because I like four letters versus six. You now go ahead and
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start working on a future. And no, we don't have time to clean it up. You just need to go ahead and
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get these other features we have in mind cooked up. You know, yeah, go ahead and start building on
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this trash you gave us. So we don't, we don't devote any energy to doing things appropriately
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from the beginning, right? Could we know how users want to use the product, the internet, right?
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We want to share the information, right? We don't try to improve that. No, we'll make that the
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worst experience you could possibly have. Then turn around and tell you that the LLM is the solution.
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And that's that's only one of the gripes that I have. Now check me if I'm wrong, by the way.
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If I'm wrong, enlighten me, film me in. But I also see this other issue where we're going to stick
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with software development for a little bit here. And you know what, I'm not even going to stick with
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it too long because I'll rant forever. But you have a language, pick one. And that language
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is built so that you can issue arguments to the computer. And then the computer renders a
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result of some of some kind. And it's built for accuracy. You the human being skill up by learning
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the language and improving your use of it to take advantage of the accuracy built into the language
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to get what you need out of the computer. Well, what they've decided to do is take the English
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language. Something is super general and bastardized to just no end. I mean, depending, depending on
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what needs, we're just going to use the United States just to be easy here. From coast to coast,
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all the slang and all the different backgrounds, because you have to remember, the United States is a
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mixing bowl of all sorts of backgrounds. So you have all of this blended into the language.
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The language today is nowhere, well, I can't say that. But it's just not the same as what it used to
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be. So many words have mutated because of how it's used. So the definitions of those words have
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changed. That means it's, it's mutable. And now you take that and use it as your language to speak
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to the computer, because that's what the prompt is. That's what the prompt is. You're now trying to
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take this mutable, flexible, gooey language. And it's like silly putty. You're trying to just like
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use your index finger and thumb and push it into a straw. And you're hoping to get some kind of
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accuracy at the other end. Again, correct me if I'm wrong. Does this not seem like we're going
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in a wrong direction? And all the energy spent to do this. I'm not going to go on a preaching
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tirade about that. But efficiency wise, we could do better. So we're not asking the people to
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level up at all. But we don't want you to be a better human when using the tools. No, no,
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we're just going, we're going to, we're going to spend all this energy and trying to just
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the insuredification of the internet has just been brought into the tools. Like it is just terrible.
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And that, ladies and gentlemen, is why I'm in the internet's HR department waiting on my pink slip.
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So I'll catch you guys at the next episode. I'm going to leave it alone before it gets any worse.
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You have been listening to Hacker Public Radio at Hacker Public Radio does work. Today's show was
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contributed by a HBR listener like yourself. If you ever thought of recording podcasts,
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you click on our contribute link to find out how easy it really is. Hosting for HBR has been
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kindly provided by an honesthost.com, the internet archive and our syncs.net. On the Sadois
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stages, today's show is released under Creative Commons Attribution 4.0 International License.
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