This is not a SFW instance. NSFW communities will be tagged, and efforts will be made to keep SFW communities clean, but proceed at your own comfort level.
Music discovery algorithms don’t have to be AI slop. Some of them used to work effectively peer to peer based on likes.
You like songs, as does everyone else. The algorithm compares the songs you liked to what other people liked, finds people who liked a high percentage of the things you did, and recommends you other songs that they liked, and vice versa. Basically “Many people who liked [song you like] also liked [song you maybe haven’t heard]”.
True. But even that can be tackled in recommendation algorithms (or attempted). The main issue I see is that the companies that produce them don’t have their goals aligned with yours and rerank results to benefit their bottom line.
That said, I’ve gotten much better recommendations for books, music and games from people online and friends than from any such system. Worst case the recommendation is not great and that is still an opportunity to talk to the person who recommended it.
With respect, that’s a bit like saying twitter doesn’t have to be a far right hate speech enabler. What something is, and what something could be, I’m afraid in this case are irreconcilable.
this doesn’t make much sense, since in reality there exist twitter alternatives that are indeed basically the same thing but without the endemic far right hate speech
Music discovery algorithms don’t have to be AI slop. Some of them used to work effectively peer to peer based on likes.
You like songs, as does everyone else. The algorithm compares the songs you liked to what other people liked, finds people who liked a high percentage of the things you did, and recommends you other songs that they liked, and vice versa. Basically “Many people who liked [song you like] also liked [song you maybe haven’t heard]”.
I can recommend Listenbrainz as a recommendation service.
Everything a computer does may as well be magic to 99.9% of people.
I said “via algorithms and AI slop”, two seperate ways of finding music, “AI slop” meaning Spotify-style playlist nonsense.
Also, algorithms create feedback loops, where popular things get recommended more, even among specific niches.
True. But even that can be tackled in recommendation algorithms (or attempted). The main issue I see is that the companies that produce them don’t have their goals aligned with yours and rerank results to benefit their bottom line. That said, I’ve gotten much better recommendations for books, music and games from people online and friends than from any such system. Worst case the recommendation is not great and that is still an opportunity to talk to the person who recommended it.
With respect, that’s a bit like saying twitter doesn’t have to be a far right hate speech enabler. What something is, and what something could be, I’m afraid in this case are irreconcilable.
this doesn’t make much sense, since in reality there exist twitter alternatives that are indeed basically the same thing but without the endemic far right hate speech