A tool for concealing writing style to evade linguistic fingerprinting
Source code and details: git.anarchists.space/nemesis/L…
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
Lingunymous
A tool for concealing writing style to evade linguistic fingerprintingForgejo: Beyond coding. We Forge.
like this
Phoenixz
in reply to richard547 • • •its_kim_love
in reply to richard547 • • •Chloé 🥕
in reply to its_kim_love • • •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
in reply to Chloé 🥕 • • •SocialistVibes01
in reply to richard547 • • •TʜᴇʀᴀᴘʏGⒶʀʏ⁽ᵗʰᵉʸ‘ᵗʰᵉᵐ⁾
in reply to SocialistVibes01 • • •SocialistVibes01
in reply to TʜᴇʀᴀᴘʏGⒶʀʏ⁽ᵗʰᵉʸ‘ᵗʰᵉᵐ⁾ • • •akwd169
in reply to SocialistVibes01 • • •No one wants YOUR writing because you cant even READ
It says LOCAL LLM right there
chicken
in reply to richard547 • • •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
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.
davel
in reply to richard547 • • •j5y7
in reply to richard547 • • •