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Notices by Richard J. Acton (richardjacton@fosstodon.org)

  1. Embed this notice
    Richard J. Acton (richardjacton@fosstodon.org)'s status on Sunday, 19-Apr-2026 21:22:20 JST Richard J. Acton Richard J. Acton
    in reply to
    • Richard Fontana
    • Christine Lemmer-Webber
    • Bradley M. Kühn

    @cwebber @bkuhn @ossguy @richardfontana I'd don't see a great way out of the copyright stripping conclusions for them without changes to the law. As I understand their defense for training on copyrighted materials - it's predicated on the models being a "transformative" and not competing directly with the original works in the market. The models themselves don't compete with the training material only their outputs do - and the LLM companies want any liability for that to be on users not them.

    In conversation about 3 months ago from fosstodon.org permalink
  2. Embed this notice
    Richard J. Acton (richardjacton@fosstodon.org)'s status on Sunday, 19-Apr-2026 21:22:19 JST Richard J. Acton Richard J. Acton
    in reply to
    • Richard Fontana
    • Christine Lemmer-Webber
    • Bradley M. Kühn

    @cwebber @bkuhn @ossguy @richardfontana Under this view it doesn't matter how the training data was licensed as it's a fair use defense. The outputs being uncopyrightable / effectively public domain allows people to claim they wrote it when it's convenient and they want to be able to copyright it as it's hard to prove if it was AI generated or human authored. And simultaneously to claim that it was the output of and LLM when they want to strip inconvenient licensing terms.

    In conversation about 3 months ago from fosstodon.org permalink

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    Richard J. Acton

    Richard J. Acton

    It's alchemy until you tell the class how you did it, then it might be science.Apportion credence ∝ evidenceScientist, Bioinformatician, R enthusiast

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