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.

Microsoft is wasting their money on this.

This doesn’t mean you can misrepresent facts like this though. The line I quoted is misinformation, and you don’t know what you’re talking about. I’m not trying to sound so aggressive, but it’s the only way I can phrase it.

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.

Did someone dare you to do it?

My bad, I used the wrong Github link. It should be fixed now.

I’ve gotten the deepseek-r1-0528-qwen3-8b to answer correctly once, but not consistently. Abliterated Deepseek models I’ve used in the past have been able to pass the test.

It can’t answer The Tiananmen Square question. Gonna have to wait for an abliterated one.

Didn’t this get taken down off Mangadex in the last crusade?

It’s probably pretty crummy for anything outside of drum loops, foley, instrument riffs, and ambient textures, since those were the only examples they provided on the blog.

Comfyanonymous of Comfy UI.

Are you the comfy?

I recommend Bakemono no Ko.

I was thinking that was their man.

I added it to the title after I replied to this comment and realized it was lacking. The title used to read just HiDream | Civitai.

It was just my honest response and the most concise way to describe it.

Start writing this. You’ll be rich.

It’s a new 17B parameters open-weights image generative foundation model.

It helps to think of fights against monsters as a turn-based encounter. As long as you can dodge or the monster misses its attack, you should be able to land a hit. If you get hit or are too far away when the monster attacks, you probably won’t be able to land any meaningful offense or heal without getting punished for it.