Stuff like this could be added to misskey, Firefish, or whatever other fediverse platforms there are. No need to implement it on Mastodon & piss off the entrenched community that wants no algorithm.

As for the algorithm, im imagining a few dedicated relay servers to sift through mastodon server data using a dedicated llm (thinking like llama or hugging face? I don't know much about the technicals) to sift through and rate posts by engagement, word choice (evil, demonic, eugenics, crypto, etc) and rate each post topic collectively based on how virtiolic, how much engagement, how many posts, how similar to other posts (for spam), & the topic category & subcategory based off the respective language.

Users who activate the feature would have likes, saves, & etc stored on the client & a hash sent or something with the potential profile focus of the person.

The server weighing the details will prefer to return less seen & posted content very specifically tailored & occasionally more notable & engaged posts that are more general & less charged.

I think the general idea is interesting, & I would try to build it myself (for those who say stop whining & make it yourself), but im here grinding through kaggle learning & udemy so it'd be a while lol