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Joined 1 year ago
Cake day: June 15th, 2023
  • davehtaylor@beehaw.orgtoTechnology@beehaw.org•The burning of the Library of Alexandria for fandoms
    1·
    8 days ago

    I would disagree. Bluesky has no algorithm and it’s growing quite rapidly. And I think that a large part of that is just having the people there that one might want to follow, and fosters community and conversation. A place like Threads absolutely does not do that. Mastodon is just an impenetrable mess from a UX perspective. The average user doesn’t care about federation and needs a solid and understandable entry point. Bluesky is federated but 90% of the people there have no idea what that means.

    but trying to sidestep it completely like Mastodon is is just going to result in a network that never hits the critical mass necessary to start exponential growth

    If keeping algo-gaming engagement bait off the platform is a price a platform has to pay, then I’m happily willing to accept that.

  • davehtaylor@beehaw.orgtoTechnology@beehaw.org•The burning of the Library of Alexandria for fandoms
    3·
    8 days ago

    Its the absolute lack of algorithm

    “It’s the absolute lack of a way to game the system with engagement bait and reward rage-posting”

    Fixed that for you.

    It’s not a matter for average users, it’s a matter for the people who farm engagement and post 300 times per day. Having a space that isn’t dominated by accounts like that is a good thing. It’s why Threads is such a miserable place. The algo there is aggressive and heavily rewards this kind of removed. Accounts like that provide no value and create toxic spaces full of rage and misinformation just to keep the waters churning and keep a constant flow of vapid “content”. It’s gross, and we are so much the better if we lose a ton of them.

  • davehtaylor@beehaw.orgtoTechnology@beehaw.org•LLMs have a strong bias against use of African American English
    1·
    21 days ago

    All the people here saying “well of course because they weren’t trained on AAVE”:

    THAT’S THE WHOLE POINT

    It’s the same reason facial recognition and voice recognition software have a difficult time with anyone who isn’t white or a speaker of perfect, uninflected standard english. The bias is created by the developers, conscious or not, because they only train it on what’s in their own bubble. If you don’t have diverse teams behind the development and training, you will create this bias, whether you want to or not. This is well known.