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LLM/"AI" Policies | Jellyfin (jellyfin.org)
submitted 8 months ago by to c/opensource@programming.dev
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cross-posted from: https://feditown.com/post/2476902

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[–] 34 points 8 months ago

These is a very reasonable policy. Strictly policing what is and isn't LLM generated code is incredibly difficult and not really the point.

I think sticking to their guidelines for code quality and author responsibility is a good perspective.

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    [–] -4 points 8 months ago (7 children)

    Rejecting AI output comments but accepting PRs, seems weird to me. Sometimes I want to say something and then feed it through an LLM to take off any aggression or confrontation.

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  • [–] 12 points 8 months ago (4 children)

    It's better to be aggressive and confrontational than to be slop.

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  • [–] 0 points 8 months ago (3 children)

    And what about the people who use AI to help fix their English so that they're clear in what they're trying to say because English is their second or third language?

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  • [–] 6 points 8 months ago

    From the general guidelines section of the post:

    "An exception will be made for LLM-assisted translations if you are having trouble accurately conveying your intent in English. Please explicitly note this ("I have translated this from MyLanguage with an LLM") and, if possible, post in your original language as well."

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  • [–] 2 points 8 months ago

    Do what you want, but in that case I think it's even more important for language learners to learn from actual human speakers than to rely on AI as a crutch. You'll learn English faster if communicate authentically, mistakes and all.

    If what you're communicating isn't clear, then people will let you know and ask you follow-up questions, giving you the opportunity to improve.

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  • [–] 1 point 8 months ago

    They can read the output and edit in their own voice. ESL have been talking fine before LLMs got popular, they'll be fine now too.

    I'm speaking as an ESL that busted my ass to teach myself speaking a whole lot better than native speakers that take it for granted.

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  • [–] 8 points 8 months ago

    They say that, in relation to the text of a PR, commit, forum post, or similar, "the output must be your own words, explanation, description, etc., not a verbatim dump of an LLM's output". If you must, it sounds like you could still use an LLM to identify any aggression or confrontation in your text, but then fix it yourself. The other advantage of that approach is that you'll become more aware of your communication patterns, and how to remedy harmful ones.

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