Source code and details: https://git.anarchists.space/nemesis/Lingunymous

Everyone has a unique writing style, word choice, sentence structure, punctuation habits and that can be used to identify them. Lingunymous rewrites your text using a local LLM to mask these patterns, making it harder to attribute writing to a specific individual.

Use cases include:

  • Protecting anonymity when publishing sensitive or controversial content
  • Evading authorship attribution and stylometric analysis
  • Separating your personal writing fingerprint from pseudonymous accounts
  • davel@lemmy.ml
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    1 day ago

    You can tell pretty much any LLM to talk like a pirate or write like a cop, etc. But using a local LLM (which this one is) is the way to go if you’re serious about anonymity.

  • chicken@lemmy.dbzer0.com
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    1 day ago

    I’ve heard about this sort of technique being used, but an important step I usually hear about isn’t present here, which is to first translate the text to another language before translating it back. Simply asking a LLM to

    Rewrite the user’s text so it sounds natural and human-written. "

    "Preserve the original meaning exactly.

    seems likely to leak things like your word preferences and grammatical quirks, a 7b model isn’t going to be super creative about this and will want to take your lead on things. There needs to be an initial layer of stripping your statement of what makes it unique.

    • Chloé 🥕@lemmy.blahaj.zone
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      2 days ago

      This is not just the solution to a non-issue for most, and a way to normalize agentic writing — it’s both, rolled into one! 🔥🚀

      /j

      • tixnou@feddit.cl
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        9 hours ago

        This doesn’t just delve—it offers a unique insight. or something idk