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@Danterious@lemm.ee

All of my comments are licensed under the following license

https://creativecommons.org/licenses/by-nc-sa/4.0/deed.en

  • 15 Posts
  • 19 Comments
Joined 1 year ago
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Cake day: August 15th, 2023

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  • you should consider moving to Facebook or Threads, maybe?

    Not an option

    As for the rest yeah those do seem like genuine obstacles. Partially think the reason I liked the algorithm is because it reminded me of the Web of Trust things like Scuttlebutt use to get relevant information to users but with a lower barrier to entry.

    Also as I’ve said elsewhere it doesn’t have to be this exact thing but since this is a new platform we have the chance to make algorithms that work for us and are transparent so I wanted to share examples that I thought were worthwhile.

    Edit:

    You’d also turn Lemmy into the strongest echo chamber you could possibly create.

    PS. I don’t think that’s true. Big tech companies that have more advanced algorithms would probably be much better at creating echo chambers.


  • If you happen to encounter Boba first then Cofee will be predicted to be disliked based on the overall preferences of people who agree with your Boba preference.

    With this specific algorithm, I don’t necessarily think that would be the case. It only shows you fewer links from people who like the links that you dislike. It doesn’t show you fewer links based on what people who are like you dislike which is what it seems like you are describing.

    Also, it doesn’t have to be this specific algorithm that we implement but I thought the idea was unique so I thought I’d share it anyway.

    It seems to be working well enough for me now so I plan to keep using it and see what it’s like.


  • There’s another important aspect of learning that the simple description leaves out, which is exploration. It will quickly start showing you things you reliably like, but won’t experiment with things it doesn’t know you’d like or not to find out.

    Why would this be the case? It shows you stuff that people who like similar stuff that you do like, but people have diverse interests so wouldn’t it be likely that the people that like one thing like other things that you hadn’t known about and that leads to a form of guided exploration?




  • Thanks for engaging with the premise.

    social media sites shift their business structure so that users have to pay for social media usage, but in return they get no ads

    I don’t think this is that likely just since they would probably lose their young audience pretty quickly especially since that audience would have to rely on their parents paying for the service which I find unlikely.



  • I honestly don’t think that any big company nowadays can collapse (look at how Digg is still a thing) but I do think that they can shift their strategy on how they monetize their users or more generally present content on their platform (like YouTube with shorts). That’s partially why I didn’t say the fediverse was mainstream and also why I didn’t say that those media companies would collapse but instead made a point about where they might try and get their money from instead if advertising dwindled.

    Also, I said this wasn’t a prediction and made the timeline with a foregone conclusion.