GrapheneOS (@[email protected])
grapheneos.social
@[email protected] 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.

  • SuspiciousCarrot78@aussie.zoneEnglish
    0·
    7 days ago

    I don’t recall that one…but in fairness…AI generates a metric shit ton more code than humans. We’d have to normalize the results. Interestingly, looking it up now, someone DID normalize for that very case. Bug rate per commit for the AI-assisted versions landed within normal historical range. A pre-AI release had more regressions. The 3.4.3 regressions were primarily from the CVE security patches, not the AI work. Zero CVEs from the Claude-assisted commits.

    EDIT: Correct URL https://alexispurslane.github.io/rsync-analysis/

    • AVincentInSpace@pawb.socialEnglish
      0·
      5 days ago

      The author of that article admits that the sample size is not large enough to draw meaningful conclusions.

      But besides that, I believe LLM code generators can be a useful tool, provided you are willing to go over their output with a fine-tooth comb and assume it is broken until you have proven otherwise, because the hallucination problem is inherent to the technology and they’re never going to completely solve it, and are willing to overlook the myriad ethical issues with all major LLMs in existence today.

      • SuspiciousCarrot78@aussie.zoneEnglish
        0·
        4 days ago

        The author of that article admits that the sample size is not large enough to draw meaningful conclusions.

        Hey, you brought it up - I just pulled the thread. Not my fault it cuts against your argument.

        But besides that, I believe LLM code generators can be a useful tool, provided you are willing to go over their output with a fine-tooth comb and assume it is broken until you have proven otherwise,

        So, exactly like a junior dev?

        going to completely solve it, and are willing to overlook the myriad ethical issues with all major LLMs in existence today.

        That’s a different claim than the one you opened with though. Most of those objections have documented counter-arguments, btw:

        https://blog.andymasley.com/p/a-cheat-sheet-for-conversations-about

        https://aicentral.substack.com/p/why-anthropic-burned-the-books

        Data centres were polluting long before LLMs arrived. Crypto, cloud storage, Netflix, YouTube, AWS - AI isn’t all data centre load. Blaming the latter for the former is like blaming sunscreen for melanoma.

        • AVincentInSpace@pawb.socialEnglish
          0·
          4 days ago

          I’d really like to see a source for the first guy’s numbers, especially how he accounts for things like training and water usage at the power plant, and as for the second guy, Anthropic is not preserving shit. The Internet Archive preserves books. Anthropic scans them and doesn’t publish the scans so that they can train an LLM that might or might not be able to regurgitate some fragments of that text, and publish that. That’s preservation in the same way that painting a picture of you is keeping you alive forever.

          Also, neither of those address the effects on creatives’ livelihoods or the mental health of LLM users. Chatbot psychosis is real. People who routinely use LLMs to do things provably become worse at doing them without them. Students use LLMs to make an end run around having to learn everything they need to know to be effective members of a society, like how to articulate their points, how not to fall for rhetorical traps, what history was really like, and between that and the disastrous effects of No Child Left Behind, teachers are quitting in droves and there’s a literacy crisis.