Twitter did exactly one thing right, and it’s community notes. Lemmy could definitely use a feature like that where the users can provide context that corrects clickbait headlines. Other than comments of course.
Twitter did exactly one thing right, and it’s community notes. Lemmy could definitely use a feature like that where the users can provide context that corrects clickbait headlines. Other than comments of course.
brucethemoose@lemmy.world 1 day ago
On the backend, Twitter must use some kind of (pre-LLM) language model to generate the sentiment of comments? I’ve never used Twitter before; how is it generated?
Lemmy could theoretically do that, but it’d either have to hit an API or host it with their server resources. And they’d need some expertise.
pennomi@lemmy.world 1 day ago
I’m not sure how they do it. I’d be super interested to know.
brucethemoose@lemmy.world 1 day ago
Well, ML is kinda toxic right now, and even a hint of “let’s draft community notes with a language model” is going to be shot down by the huge fediverse anti-AI community. So I think that’s, unfortunately, a non-starter.
And again, mods purely doing it would be problematic.