GNU social JP
  • FAQ
  • Login
GNU social JPは日本のGNU socialサーバーです。
Usage/ToS/admin/test/Pleroma FE
  • Public

    • Public
    • Network
    • Groups
    • Featured
    • Popular
    • People

Conversation

Notices

  1. Embed this notice
    David Colarusso (colarusso@mastodon.social)'s status on Saturday, 30-Dec-2023 13:33:51 JST David Colarusso David Colarusso
    • Mike Masnick ✅

    If you only read one article on the NYT suing OpenAI, make it this one from @mmasnick

    This isn't about copyright in the traditional sense. At best it's a negotiating tactic to get better terms in an agreement with OpenAI, at worst it's a push to create a bunch of "rights" out of thin air. Copyright is not the way to deal with "AI!"

    https://www.techdirt.com/2023/12/28/the-ny-times-lawsuit-against-openai-would-open-up-the-ny-times-to-all-sorts-of-lawsuits-should-it-win/?utm_source=pocket_saves

    #copyright #journalism #AI

    In conversation Saturday, 30-Dec-2023 13:33:51 JST from mastodon.social permalink

    Attachments


    • Embed this notice
      Paul Cantrell (inthehands@hachyderm.io)'s status on Sunday, 31-Dec-2023 01:04:24 JST Paul Cantrell Paul Cantrell
      in reply to
      • Mike Masnick ✅

      @Colarusso @mmasnick
      Thanks for this much needed context.

      I wonder if the piece is a bit too dismissive of the part about the near-literal reproduction of training data. LLMs do things that would certainly be considered plagiarism if done by a human, and not only when prompted with large chunks of the source text. In my legal ignorance, that does seem relevant to copyright, at least potentially infringing.

      (The central point about copyright not prohibiting reading stands regardless.)

      In conversation Sunday, 31-Dec-2023 01:04:24 JST permalink
    • Embed this notice
      Paul Cantrell (inthehands@hachyderm.io)'s status on Sunday, 31-Dec-2023 01:39:00 JST Paul Cantrell Paul Cantrell
      in reply to
      • Mike Masnick ✅

      @Colarusso @mmasnick Understood and agreed.

      The submitted evidence for copying in this NYT case seems rather weak to me; they have (as Masnick points out) set up highly concocted circumstances to get that output, but GPT will also repeat near-verbatim chunks under much looser prompting.

      I’m thinking in particular of legal risks for companies using this tech, who could plausibly find themselves sued on copyright grounds for using GPT output.

      In conversation Sunday, 31-Dec-2023 01:39:00 JST permalink
    • Embed this notice
      David Colarusso (colarusso@mastodon.social)'s status on Sunday, 31-Dec-2023 01:39:01 JST David Colarusso David Colarusso
      in reply to
      • Mike Masnick ✅
      • Paul Cantrell

      @inthehands I agree that a focus on output is the strongest part of the NYT’s argument (and what’s been missing from most of these cases), but there is something to be said for countering the impression that these systems just spit out copies of others’ work without a lot of effort. One has to work to get those nearly identical outputs, otherwise you’re left with paraphrased content, which isn’t a copy. @mmasnick

      In conversation Sunday, 31-Dec-2023 01:39:01 JST permalink
    • Embed this notice
      Paul Cantrell (inthehands@hachyderm.io)'s status on Sunday, 31-Dec-2023 01:41:47 JST Paul Cantrell Paul Cantrell
      in reply to
      • Mike Masnick ✅

      @Colarusso @mmasnick This, for example, seems to me (again, in my ignorance) to flirt with the legal boundaries of copyright infringement: https://futurism.com/cnet-ai-plagiarism I’m not sure that infringement claim would make it through court, or be worth the payoff if it it, but the legal risk is greater than zero.

      (Again, agreed with larger points about copyright not being the best or most relevant legal regime here, just not completely irrelevant.)

      In conversation Sunday, 31-Dec-2023 01:41:47 JST permalink

      Attachments

      1. Domain not in remote thumbnail source whitelist: wp-assets.futurism.com
        CNET's AI Journalist Appears to Have Committed Extensive Plagiarism
        CNET's AI-generated articles appear to show deep structural similarities, amounting to plagiarism, with previously published work elsewhere.
    • Embed this notice
      Paul Cantrell (inthehands@hachyderm.io)'s status on Sunday, 31-Dec-2023 03:36:46 JST Paul Cantrell Paul Cantrell
      in reply to
      • Mike Masnick ✅

      @Colarusso @mmasnick Indeed. In moments of optimism, I wonder how much sanity we could achieve with nothing more than legal clarity that companies are in fact liable for decisions under their control, regardless of whether they delegated those decisions to an employee, a third party, or a machine. Then insurance-like frameworks like Copyright Shield take on an actuarial (as opposed to PR) character, and…better outcomes, maybe??

      In conversation Sunday, 31-Dec-2023 03:36:46 JST permalink
    • Embed this notice
      David Colarusso (colarusso@mastodon.social)'s status on Sunday, 31-Dec-2023 03:36:47 JST David Colarusso David Colarusso
      in reply to
      • Mike Masnick ✅
      • Paul Cantrell

      @inthehands by no means is it irrelevant. There is a reason OpenAI introduced Copyright Shield. https://techcrunch.com/2023/11/06/openai-promises-to-defend-business-customers-against-copyright-claims/amp/ @mmasnick

      In conversation Sunday, 31-Dec-2023 03:36:47 JST permalink

      Attachments

      1. Domain not in remote thumbnail source whitelist: techcrunch.com
        OpenAI promises to defend business customers against copyright claims | TechCrunch
        from Kyle Wiggers
        OpenAI has launched a new program that'll defend certain customers -- specifically business customers -- from IP claims.

Feeds

  • Activity Streams
  • RSS 2.0
  • Atom
  • Help
  • About
  • FAQ
  • TOS
  • Privacy
  • Source
  • Version
  • Contact

GNU social JP is a social network, courtesy of GNU social JP管理人. It runs on GNU social, version 2.0.2-dev, available under the GNU Affero General Public License.

Creative Commons Attribution 3.0 All GNU social JP content and data are available under the Creative Commons Attribution 3.0 license.