❤️ sex work is work ✊

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Cake day: June 3rd, 2023

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  • Luke@lemmy.mltoAsklemmy@lemmy.mlAny other alternatives
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    20 days ago

    That’s a pretty vague question; what kind of NSFW “stuff” are you looking to post?

    However, if you’re talking about art, then Slushe is a fairly nice NSFW art site (though it may be abandoned by it’s creators, last blog activity was over a year ago) that varied artists post plenty of stuff regularly.



  • Luke@lemmy.mltoSelfhosted@lemmy.worldComic Book Collection Manager?
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    26 days ago

    Unfortunately, there doesn’t seem to be anything better than Calibre at the moment. (Though, I’m happy to be proven wrong!) Nothing against Calibre, it’s functionally amazing free software and it works very well; I said “unfortunately” because the interface is extremely dated and clunky and confusing to operate. Once you get it working, it’s very nice though. As long as you never have to go fiddling with it again, because every time you’ve gotta reacquaint with it’s weird UI. Still, it really is the best available at the moment, and it’s free so that’s awesome.

    My favorite way to set it up is using the linuxserver image, which has a web-based VNC built into it, so you can remotely run the app on a headless server and then use your browser to interact with it.

    I have Calibre configured to monitor a folder for new stuff I throw into it, where it’ll automatically fetch metadata and put it into the database. Calibre also has an OPDS server built in, to which I point a nicer frontend for reading comics. Currently that is Kavita which provides a decent web UI for both books and comics.

    Anyhow, I believe you could enter data about your physical comics into the Calibre database, and then view the metadata with something like Kavita, though of course you’d be skipping the reading features.










  • 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.


  • 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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    2 months 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.