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Cake day: February 24th, 2026

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  • I’ll have to take your word for it! “figuring out” sounds like a higher-order process than a large language model is capable of to me, but if what they do is as good, then great.

    I think I’m just skeptical because of how horrendously bad LLM output is in my field of expertise (despite looking fine to a lay person), so I immediately analogize that to other areas. The output of law and coding are both really about language, and the process of creating that output on the part of a lawyer or coder are really about language, so I can see how one might think LLMs would be able to recreate what lawyers and coders do. But boy it doesn’t strike me as remotely plausible that LLMs will ever get there, at least for law. I have no doubt some yet-unimagined technology could get us there, but “next word prediction” just isn’t gonna be it.


  • I’m not a coder, so I can’t speak to the quality of code generated by these models. I am a lawyer, and every time I see stuff that lay people think is impressive in my field, I can’t help but guffaw and think “none of this is going to function, and no one will know for years. We’re so fucked…and then one day we’ll have to clean all this up and it’s gonna be so much work.” I kind of assume it’ll be similar for code? Like…it’ll obviously be somewhat better because there is a lot of testing you can actually do, whereas in law “testing” takes many years…and by the time you find out something doesn’t work, the burden of having done it wrong all this time, thinking it was right is catastrophic (which is why lawyers are so conservative about language that they “know works.”

    I can see how little features can get added and these tools can deliver on those projects fast…but like…can they do bigger things with consistency? Can they like…set things up well? I’m not saying it’s impossible, but…I guess i’m thinking about Go. It took a long time for neural networks to get to be good at 19 x 19. They got good at 9 x 9 pretty fast. But as the game gets more complicated, it’s way WAY harder to do good long-term strategy. And the machines got there, no doubt. But the entire universe of Go is a 19x19 grid, on which the spaces are black or white or empty. How much more complicated is a language? Even a programming language? infinitely more complex, of course!

    So I worry that we’re going to have individual features that work well, but systems that cannot function…looking like the uhhh…weasley house in Harry Potter…but without the magic to hold it up lol.


  • AI is a broad term; of course neural networks and machine learning have been important in a lot of research etc. That’s all great. LLMs…it’s all anyone wants to talk about (maybe image generation too) and it’s junk for any application that matters.

    If looms could only make burlap, and the capitalists tried to make burlap underwear a thing, I think the luddites would be wise to say to the public “hey, don’t buy this crap…it’s uncomfortable!” Of course, in reality, auto-looms did a lot of the same stuff traditional weavers could do. I think pointing out that when techbros say LLMs output is great, pointing out that LLMs output is generally garbage is effective. Luddites couldn’t really say that the output was significantly inferior (or maybe it was and people didn’t notice…jesus I hope that’s not the case with this garbage!).

    Maybe that’s what we disagree about. To me, the auto-looms are only making burlap and I don’t see any reason to think they’re going to get much better. And they’re lighting the planet on fire :P

    I am not willing to capitulate to this kind of BS: “LLMs are very useful and they’re clearly here to stay.” I just think that’s horseshit. That’s what the capitalists who are selling them want you to think, but I genuinely believe if you ever look at it in a critical context you’ll see.


  • I mean…looms actually seem useful. My experience with large language models is that they’re only useful when the output doesn’t really matter. Like…they’re fine if you’re “searching” for things that aren’t really defined and you don’t really care about the answer (i.e. “what are the five trendiest coffeeshops in Barcelona that are likely to have english speaking staff?” it can’t actually know any of that…what’s “trendy” even mean? Whatever, who cares, go to a coffee shop on your vacation, have a nice time).

    But when it matters you just cannot rely on them…They can’t be relied on to use the correct words when precision of language matters, they can’t do “research” or “analysis” in any meaningful sense…like maybe better than a sharp middle-schooler? But not as well as a dumb undergrad.

    And I don’t see any reason, understanding what the technology is to think they’ll get better at those things. It’s predictive in nature. You know…like maybe it’ll go from 60% reliable to 90% reliable over the next hundred years because they’ll find some way to focus on high-quality and relevant training data, while still using gigantic training data to get the model up and running…? But since it’s fundamentally a predictive model (trying to predict what a good answer would look like), it’s never going to be able to actually be relied upon for answers to questions when it matters.

    And idk what the cost would be when factoring in all the externalities…environmental destruction, energy consumption…hell, even the infrasound from data centers fucking up everyone’s brain…like…there’s just no way this makes any economic sense. Right now it’s all mega-subsidized, but when that comes to an end…is it gonna cost $10 per prompt on average? $50? Idk, but I know everyone using it now will not want to pay for it.





  • Having never even looked at Linux before I had it up and running on my old MacBook in less than an hour! Maybe another two of playing with settings (mostly for fun), and now it’s just my computer! I’m sure it’ll take extra time to get the things you want to work to go if they’re unusual, or maybe as you point out you may need to keep a windows partition for that.



  • Yeah getting hardware to work may require a bit of fiddling. There are some stellar resources, and some extremely helpful people. Most stuff really does “just work” but when it doesn’t you don’t have to learn everything, just how to fix that issue!

    I think you’ll be pleasantly surprised at how painless it is. Obviously if you havae special hardware it may be hard to find drivers or whatever…hell if I know! but I had similar apprehension to you and it’s been a breeze!