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Cake day: June 3rd, 2023

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  • This kind of confusion illustrated by Telegram users is exactly why it was the right thing to do for privacy when Signal removed support for SMS because it’s not encrypted. People still whine endlessly about it, but most users are not very savvy, and they’ll assume “this app is secure” and gleefully send compromised SMS to each other. All the warnings and UI indicators that parts of the app were less secure (or not at all in the case of SMS) would be ignored by many users, resulting in an effectively more dangerous app. Signal was smart to remove those insecure features entirely.



  • Luke@lemmy.mltoPrivacy@lemmy.mlA tool for concealing writing style using LLM
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    22 days ago

    This seems like a valuable utility for concealing writing style, though I feel like the provided example fails to illustrate the rest of the stated goal of the project, which is to “prevent biases, ensuring that the content is judged solely on its merits rather than on preconceived notions about the writer” and “enhance objectivity, allowing ideas to be received more universally”.

    The example given is:

    You: This is a demo of TextCloak!!!

    Model: “Hey, I just wanted to share something cool with you guys. Check out this thing called TextCloak - it’s pretty neat!”

    The model here is injecting bias that wasn’t present in the input (claims it is cool and neat) and adds pointlessly gendered words (you guys) and changes the tone drastically (from a more technical tone to a playful social-media style). These kinds of changes and additions are actually increasing the likelihood that a reader will form preconceived notions about the writer. (In this case, the writer ends up sounding socially frivolous and oblivious compared to the already neutral input text.)

    This tool would be significantly more useful if it detected and preserved the tone and informational intent of input text.