❤️ sex work is work ✊

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Joined 1 year ago
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Cake day: June 3rd, 2023

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  • I’m not necessarily disagreeing with your overall point here (I have no idea why people engage with shorts, maybe they do love that format) but I wanted to push back a little on the idea that a product must be popular simply because corporations continue to offer them. Especially with social media, where users are actively discouraged from making their own decisions as much as possible by The Algorithm.

    I think there are plenty of examples of things that people continue to use (and often even pay for the “privilege”) despite major aspects of those things being generally reviled by everyone who uses them:

    • ad infested apps and websites
    • gaming microtransactions
    • a new phone every year
    • cable service
    • insurance
    • HOAs
    • gasoline
    • Amazon
    • pants and dresses without pockets


  • Luke@lemmy.mltoPrivacy@lemmy.mlA tool for concealing writing style using LLM
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    13 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.