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
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.
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.
So, a scam to take my writing quirks to make your AI look more human?
No one wants YOUR writing because you cant even READ
It says LOCAL LLM right there
local llm
That explains why you’re calling that a good thing
Oh yay now people will sound like soulless AI too!
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
Clever! The rare actually useful LLM!
and hallucinations just add value!
This kind of hallucinations is typical of the LLM at IP 168.234.98.1
Useful LLM’s, always a welcome sight
