GrapheneOS (@GrapheneOS@grapheneos.social)
grapheneos.social
@bekkaboo@girlcock.club Linux itself is heavily using AI models. Therefore, every Linux distribution moving to recent kernel versions is heavily built on top of using AI models. Creating a Linux distribution not heavily using it would require a hard fork of the Linux kernel and many other projects. It's unclear what would be accomplished by banning AI for a tiny portion of the code while continuing to use Linux, AOSP, Chromium and hundreds of other projects heavily using it. We'd still be benefiting from it.

GrapheneOS is currently defending its use of AI coding tools on Mastodon against complaints by various accounts claiming to be users.

We do not understand where you’re coming from or why you’re so incredibly angry with us. It’s not justified and does not make sense.

  • raspberriesareyummy@lemmy.worldEnglish
    62·
    18 hours ago

    the more data you feed into it, the better the output becomes.

    And that’s bullshit. The slop machines have already peaked. More input will not improve the results.

    • Mistic@lemmy.worldEnglish
      11·
      10 hours ago

      Not compared to models from 00s or 10s…

      What’s with the reading comprehension, people? I was talking about pre-AI boom vs. now, not now vs. 1-2 years ago, c’mon.

      • raspberriesareyummy@lemmy.worldEnglish
        2·
        8 hours ago

        LLMs use a new way of data processing (focused on language rules) which is what brought the boost. Not more training data. More training data is needed for an LLM to reach “maturity” but it also increases cost due to resource usage. And current LLMs have already absorbed basically all of the internet and most books, and since the internet is now full of slop, more unpoisoned training data does not exist. That’s why more does not help anymore.