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Cake day: March 22nd, 2024

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  • But there are entire countries who don’t seem to get the whole ‘acting together for the betterment of humanity’ thing,

    I would describe it as ‘indoctrinated by Big Oil’, heh… It is awful.

    Also: it’s not even like you’re gaining anything from constantly using AI or LLMs. Just fleeting dopamine hits while your brain cells wither. Of all the habits one could try to reduce, or be mindful of, to literally save lives and countries, anybody who honestly thinks generative AI is more important is very addicted. Also also: it’s just so shit.

    The majority of text ingestion/token generation is consumed by other machines for stuff like coding assistants or corporate data processing, and this includes image ingestion. I dunno what fraction is image/video generation is, but I suspect it’s not high, as there’s really no point outside of cheap spam.

    You are not wrong, and corpo AI is shit for plenty of reasons (including being needlessly power hungry when it doesn’t have to be), but I’m not relenting that this is a ‘small fish’ issue to pursue in reference to the massive waste in so many other parts of the US.

    Big Oil and such delight in such distractions because it draws attention away from their more profitable and harmful sectors they’d rather people forget about.












  • Hear me out.

    Get a Fiio KA5 (or similar).

    • It’s negligibly tiny.

    • It’s cheap.

    • It works between smartphones. You can keep it a decade+.

    • Now your headphones work with anything.

    • Sound clarity/noise floor/volume level is better than any phone.

    • Better sound quality from your PC. Or TV. Or anything.

    • Now your choice of phone isn’t so restricted, so you can find a deeply discounted one.

    What’s the downside? I get some dongles being annoying, like the Apple ports meme, but this tiny thing has caused me precisely zero inconvenience and brought me tons of convenience.









  • brucethemoose@lemmy.worldtoComic Strips@lemmy.worldBONK
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    5 days ago

    The idea is to “poison” LLM training data, though I would strongly argue it does precisely nothing but strain human brains.

    Even with zero data preprocessing, the LLM is going to ‘interpret’ the meaning anyway, just like they can translate training on Chinese characters to English meaning.