• 467 Posts
  • 36 Comments
Joined 2 years ago
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Cake day: June 16th, 2023

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  • It’s doing extra work and allowing other people to dictate how we use our space, for people that are going to break the rules anyway.

    !lemmydirectory@lemmy.dbzer0.com has been running on this philosophy for ten months now. The sidebar even says:

    Our community has bots making regular posts showcasing best content from communities in given categories to help promote them. Each category is assigned to it’s own bot to allow users blocking posts from unwanted categories and tailor the feed for their preferences without the need to block the whole community. Here’s the current list of bot accounts:

    Yet look at all of Best_of_ai_bot’s posts. Immediately and heavily downvoted every time. The people doing this won’t care, and use the tags to target content.



  • It’s been going on for a while now on !lemmydirectory@lemmy.dbzer0.com. The sidebar even says:

    Our community has bots making regular posts showcasing best content from communities in given categories to help promote them. Each category is assigned to it’s own bot to allow users blocking posts from unwanted categories and tailor the feed for their preferences without the need to block the whole community. Here’s the current list of bot accounts:

    I’m not sure how much clearly marked posts are going to help the problem. I feel like the people browsing through all are targeting the content and won’t ever see the sidebar.






  • Generating an AI voice to speak the lines increases that energy cost exponentially.

    TTS models are tiny in comparison to LLMs. How does this track? The biggest I could find was Orpheus-TTS that comes in 3B/1B/400M/150M parameter sizes. And they are not using a 600 billion parameter LLM to generate the text for Vader’s responses, that is likely way too big. After generating the text, speech isn’t even a drop in the bucket.

    You need to include parameter counts in your calculations. A lot of these assumptions are so wrong it borders on misinformation.