this post was submitted on 03 Jul 2023
402 points (95.3% liked)
Piracy: ꜱᴀɪʟ ᴛʜᴇ ʜɪɢʜ ꜱᴇᴀꜱ
54698 readers
538 users here now
⚓ Dedicated to the discussion of digital piracy, including ethical problems and legal advancements.
Rules • Full Version
1. Posts must be related to the discussion of digital piracy
2. Don't request invites, trade, sell, or self-promote
3. Don't request or link to specific pirated titles, including DMs
4. Don't submit low-quality posts, be entitled, or harass others
Loot, Pillage, & Plunder
📜 c/Piracy Wiki (Community Edition):
💰 Please help cover server costs.
Ko-fi | Liberapay |
founded 1 year ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
Can’t. I’m addicted to the algorithms. Music discovery guided by AI is too much fun. If I was only using streaming services to listen to music I already know or the new albums from artists I already like them I’d be with you, but now I’m hooked on finding new stuff.
Funkwhale is federated. I have discovered lots of good stuff on there via other servers. Not algorithmic, but once you find a server that appeals to you, there's a lot to dig into.
There's also https://libre.fm and https://listenbrainz.org/ and https://openwhyd.org/
+1 to ListenBrainz. It's an awesome tool for tracking your listening habits (kinda like Last.fm). Combined with Pano Scrobbler, I can create collage pics of my most listened-to artists or albums of a given time period (per week/month/year). It's a great service and I want to donate to that project in the future, because I get so much value out of it.
"Guided by AI" I think you mean algorithms programmed according to strict music licensing contracts from the labels that say a service needs to suggest label-preferred "complimentary" artists over actual similar music that you would like based on a collection of characteristics in a given song/band's sound signature.
You have evidence this is happening on Spotify’s Discover Weekly playlist?