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Joined 2 years ago
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Cake day: February 6th, 2023

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  • word clouds will find when a corpus of hashtags is similar in meaning. If you use only hashtags, that’s like experiencing a grocery store or farmers market via an ambassador who cannot see the serendipitous shops that are nearby, the things frequently seen together. It’s like shopping in an app and never visiting the grocery store itself. Having a precision following list means you can’t experience going to a library and browsing shelves until something catches your eye - serendipitous search is fundimentally different from subscribed/reposted delivery, or even keyword search.

    computers and digital space don’t natively have the metric for which hashtags are closer, so they have to crunch the numbers to help figure out which books are closer to other books. Otherwise it’s like entirely separate universes that you’ll never ever find, like if you never knew a word that would lead you to a community of much more words and concepts and free thought.













  • whiny9130toTechnology@beehaw.orgIs Crypto Finally Dead?
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    1 year ago

    Every time a “decentralized” thing only has one reference implementation it tends towards a platform. If multiple software projects use it, it can tend towards a protocol

    But whenever your thing kinda just… Talks to itself (like “distributed” exchanges that still die when us-east-1 does) then it’s kinda dead

    Or how ssb (manyverse) or radicle are going through a period of death and the primary client isn’t really usable during the rewrite…

    Vs activitypub which doesn’t stray away from a normal functioning server with a normal functioning browser UI…


  • Two examples:

    when you’re browsing your follows on mastodon, and click on their follows, the list is not true to their follows (because your server hasn’t fetched them).

    and, when you first subscribe to someone’s posts, you can’t see older posts (say they’ve got 100, but you see zero).

    I’m aware that there are technical reasons (you weren’t subscribed), and open source reasons (nobody has the time to volunteer to fix it), but these are insufficient to help an anxious new user who’s undecided about the platform.

    That’s only Mastodon, which has 7 years of refinement. Don’t get me started on the litany of federation-related edge cases of Lemmy’s UX failings.




  • Web servers: unikernel (nanos) + fastly to backblaze Mail servers: tailscale (for admin ssh), fail2ban, letsencrypt nginx, docker compose, mailu, heavy use of vps firewall Raspberry pi “servers”: k3s, managed with lens desktop pro, but honestly learning kubernetes isn’t exactly enjoyable and feels painful compared to a shell script that launches dead simple API deployments

    I used to do a lot of Ansible to manage a lot of servers but most of the time the thing I need to fix is manual, and a setup.md in my personal notes is all I need for “how do I make a new minio backup host” or whatever.


  • “value of type java. String cannot be converted to JSON object” is basically every 1/3 post.

    Heard from folks the app crashes the instant they opened it.

    Reuses comments section from previous posts.

    Can’t differentiate search by content vs search for communities,

    Can’t just paste a community URL, or paste a post URL into search



  • whiny9130toLemmy*Permanently Deleted*
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    1 year ago

    if the upvotes/downvotes are part of a user feed… you could probably do some crunching on “repeated brigading posts”… but part of me is going… wouldn’t it be interested to make buckets for how similarly people’s opinions line up.

    like… “subtract out the folks who just vote no on anything positive with MacOS”, e.g., the herd gets grouped and gets lesser power.

    or… “rank a user that usually downvotes stuff in this group but suddenly upvoted it higher” (like neural exhaustion). So the more an account /just upvotes/ and it becomes tired due to the link between that user and those keywords.