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A tool for concealing writing style to evade linguistic fingerprinting (git.anarchists.space)
submitted 6 months ago by to c/privacy@programming.dev
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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
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[–] 1 point 6 months ago

The pyproject.toml spec is ten years old. Python 3 is almost twenty years old.

To my knowledge, for TOML spec, strict validating against a schema is not a thing. So it's not used with very likely dangerous user input.

So the spec could be 100,000 years old, for obvious security vulnerability reasons, would still not touch it.

Recommend taking a read through the strictyaml authors documentation on shortcomings of various user supplied input file formats.

You are in for a treat:

specifically Why not TOML

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