ugh, i can’t read.

Sharkey has mastoapi support.

You can ping groups in mastodon to post to them.

Unusable, since every post with a hashtag gets a boost.

It’s a site whoses users have driven several people to suicide through harassment.

They have a thread called “irl tr**n encounters” where users post creepshots of trans people irl.

You’re really only supposed to use discover to find new accounts to follow (hence the name)

Friendica is very clunky, but it’s nice.

Unsubscribe from every community and build your feed again

You don’t typically see messages from people you don’t like on email.

Yep, and it’s by a group which has much less incentive to fuck the protocol up.

I really like how it splits data hosting an applications, the only public facing part of the network you need to host is a pds, you can use clients that work entirely locally, such as appviewlite, or reddwarf.app.

Like activitypub?

Atproto (protocol powering bluesky) will be further developed and standardized by the ieft (Internet engineering task Force), a group separate from the for-profit bluesky PBC

Yeah, parsing large text to find relevant stuff is very useful for stuff a simple CTRL-F doesn’t work for. I found it useful for parsing .har files to find how a specific value is made for a request.

The instance is explicitly anti corporate ai. There’s !haidra@lemmy.dbzer0.com which db0 worked on. https://aihorde.net/ is probably the most ethical image generation service.

I’d say one of the things llms can do well is language. (Or are you arguing that humans deserve to have the proofreading job instead, which I can agree with)

I wouldn’t say the environmental issue is overblown, but it does have a solution.

Do you think local llms or community hosted ones are still as bad? Because most of those concerns seem to be more with the corporate ownership of ai, which is definitely a bad thing.

I also can find phrasing stuff hard at times, so being able to send a word salad to a chatbot and get a proper sentence is useful. Or suggesting words.

I find llms useful for some things,

Sometimes the duckduckgo ai summary of results can include a source I was looking for that was buried in the results (I don’t trust the ai much since it literally cited Ireland’s Nazi party uncritically once, but it does link to sources). Formatting text is also really useful, or turning something from csv to a markdown table and vice versa.

Its also able to extract text from images a lot better than “dumb” ocrs (which I still use for basic images), and can format it in a certain way (e.g., take this screenshot from an ebook and format it as a quizlet).

I have try seeing what they’re like for programming every once in a while, and my verdict is still shit. They can do very basic stuff thats basically regurgitating functions that were written before, but not original stuff (they’re very poor at making regexes). They’re similarly bad at debugging, though they can sometimes point you in the right direction.

The response from ai-bros for the programming thing is usually something along the lines of how you should try Claude opus, but I am never paying a cent on any ai thing. At that point it’s easier to just use my brain.