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Joined 3 years ago
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Cake day: July 2nd, 2023

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  • I think they’re probably more annoyed by the fact that it doesn’t appear to actually be used as a private domicile and it’s fucking up the scenery and inviting a lot of noise pollution and traffic that wasn’t there before.

    Also a bit of a dick move to just ignore all the local ordinances everyone else there is abiding by. Like a 6 foot fence is quite different than a 16 foot one.

    God I wish I could see Musk in a guillotine. That’s the public execution I’d like to watch.






  • I see some human patterns in there.

    I took your post and gave it along with the prompt “you’re a Lemmy user, reply to this post saying the goal of LLM is to mimic human speech”

    Guess which two were written by Gemini and which was written by my brain:

    A) That’s the thing, though—LLMs are literally trained to mimic human writing patterns and quirks. Seeing “human patterns” in text doesn’t really rule out LLM generation anymore; it just means the model (or the prompting) was good at recreating how people actually talk and write.

    B) The core purpose of an LLM is literally to mimic human text patterns, so seeing “human patterns” in a piece doesn’t mean it wasn’t generated or heavily written by AI. That’s just the tool doing its job.

    C) Considering LLM are literally made to model human language; you’re going to see plenty of human patterns in LLM output. Hell that’s their selling point - you can’t tell it wasn’t made by a person!

    33% chance you’ll guess right and maybe you still do know for real, and that’s great! You’re right that there is some “Je ne sai quoi” in the way humans speak but these LLM have gotten scary good at sounding like people. Especially if you don’t already know the “voice” of whoever wrote what you’re reading. Like certain grammatical tells of sorts.

    Edit: I just realized this is even harder because my Gemini has a bunch of my writing to use for training data and defaults to trying to mimic my tone and style.


  • I’ve seen AI rewrite entire code bases overnight that would have taken a team of humans over a year.

    And was the code better, cleaner and more readable? Moreover did it actually still do what it was supposed to and not introduce further unknowns?

    I get that it’s basically just a prediction engine but thinking of it like that is unhelpful in my opinion.

    Unhelpful in the sense that it is what it actually is or unhelpful in the sense that it makes you question the fake narrative we’re getting shoveled to us by tech bros and traditional mass media?

    Like that’s just what it is. All I want is folks to be honest about the limitations of this tech and what is underpinning it. It’s still very impressive but at the end of the day there will always be an inherent problem with LLM in that they are non deterministic - you can give the same AI the exact same prompt 10 times and you’ll get 10 different replies.

    There is no way to get around that. You can’t have a perfectly predictable output and even 1% of the time error is not good enough for widespread adoption when a mistake could mean someone dies or is horribly injured or loses a ton of money etc etc


  • Damn I try to keep my mouth shut but if someone screamed that near me I’d be interjecting. Like goddamnit the AI does not know anything.

    It’s a machine modeling human speech. It’s all a hallucination and sometimes that hallucination is straight up lies and sometimes, hopefully most of the time, it aligns with actual reality.

    I fucking loathe that people won’t take 15 minutes to just read a basic primer on what an LLM is. It’s a fancy autocorrect, and yeah it’s way more complex than that but at the end of a day it’s made to model realistic human language output - and that’s it. It doesn’t have any actual knowledge, it doesn’t have any way to know if what it says is true or not, and it certainly doesn’t know if what it says is insane.