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Feature request: comment folding
  • This is improved in 0.0.33. Now it's just tap anywhere on the comment that isn't also a button. There's a setting to configure if you want that comment to collapse or just the replies.

  • Search Button
  • Great suggestion!

    On second thought, we want to implement a full search, and I think that this will be confused if there are two different menus both using the same icon.

  • Feature request: Swipe to go back
  • There isn't exactly a roadmap at this point, its sorta a free-for-all with lots of people implementing the features they want. Making issues on github definitely helps visibility and will help it be prioritized once the app is in a more complete state.

  • How has ur lemmy experience been so far?
  • So far it's been good! Lemmy has made me hopeful for better social media. I'm not hugely into twitter-style social media so I was never really able to appreciate Mastadon.

    I'm actually quite surprised with how much content is here already. There are regular posts and conversations, and a good mix of content. It's not at the level reddit is in terms of volume, but I don't feel starved or anything. I look forward to the future here!

  • it will improve :)
  • There's an open PR that'll fix the font size issue. I'm using it now and it's great. I'm also personally working on trying to add my personal must-have UI options from Boost.

  • How the web became unreadable
  • Image hosting seems like a fairly expensive endeavor, especially if your anticipated user base is just linking to your server from another site. I have a hard time thinking this could be done sustainably without requiring some sort of subscription on the uploader's end, unfortunately.

  • Stack Overflow mods go on strike
  • I imagine it'll be possible in the near future to improve the accuracy of technical AI content somewhat easily. It'd go something along these lines: have an LLM generate a candidate response, then have a second LLM capable of validating that response. The validator would have access to real references it can use to ensure some form of correctness, ie a python response could be plugged into a python interpreter to make sure it, to some extent, does what it is proported to do. The validator then decides the output is most likely correct, or generates some sort of response to ask the first LLM to revise until it passes validation. This wouldn't catch 100% of errors, but a process like this could significantly reduce the frequency of hallucinations, for example.

  • InitialsDiceBearhttps://github.com/dicebear/dicebearhttps://creativecommons.org/publicdomain/zero/1.0/„Initials” (https://github.com/dicebear/dicebear) by „DiceBear”, licensed under „CC0 1.0” (https://creativecommons.org/publicdomain/zero/1.0/)KE
    kevin @beehaw.org
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