• 5 Posts
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Joined 29 days ago
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Cake day: August 28th, 2025

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  • If computing these tags is not expensive, they can be computed and stored internally in the app at client side. If this will work and will be useful, it can be moved to server-side in one of lemmy’s updates. Each post will have have probable tags in metadata with % of how sure an algorithm was about assigning this tag. Personally, I think affecting your feed by picking appropriate instance doesn’t work, and I do hope other instance-independent ways to browse lemmy will become available. But right now I haven’t found a time even to check Lemmy’s api to see what’s already available.





  • Yes, same applies to PixelFed. Ice Cubes client doesn’t require an account, but it crashes regularly.

    I was hoping to get a better experience in the dedicated official app. There’s nothing wrong with that. In a browser even twitter can be accessed without an account (even though unofficially), that’s not the point. “Just go to browser” approach can be taken further: “just go to another social network”.



  • Some software solutions exist, e.g. War and Peace by Tolstoy can be downloaded with metadata, ids are assigned to all characters and when one character tells something to another, this is highlighted as “x speaks to y”, and you can run a community detection algorithms on this data. I think in the paper they’ve been mentioning some proprietary software. I suspect detecting who speaks to whom is even harder.

    Also, some form of crowd sourcing probably should be possible. At least collecting scans is possible on wikisource and wikimedia commons.

    Probably AI language models should be pretty good in distinguishing between linguistic ambiguities.

    I dream for a time when such reports as in OP post will be a matter of work for an hour or two — because data will be already collected and clean.