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Music discovery by watching cathatonic youths clips
Discovery, by Daft Punk (☞ﾟヮﾟ)☞
If someone don’t know, it’s an album name, alternatively known with music0video movie “Interstella 5555: The 5tory of the 5ecret 5tar 5ystem”, basically a music-video for whole album, bit anime.
oooo I absolutely adore discovery but didn’t know about the movie, that sounds awesome!
Daft Punk is the best! I’ll have to check out this movie thing :3
Thanks!
Friends?
My playlist hasn’t been updated since the late 90s.
Me fr. I bet I could craft the perfect playlist, and never listen to anything else again. That actually sounds like pretty fun idea… maybe i could make a mixtape…
If you like funky Argentine funky indie pop? Bandalos Chinos are the dogs bollocks
Browsing the top 10 on sites like Redacted or Orpheus became my preferred way of discovering new music.
I don’t talk to people I just grab my music straight from the game files and random youtube videos that I don’t use youtube but I randomly remember stuff sometimes or find out about something and use yt-dlp or just pipetube or whatever I have. and then use vlc or any random file player for that matter.
[ stretches ]
Alright… I guess it’s time for another one of my “I will listen to your song” posts
Here we go https://lemmy.world/post/50708959
EDIT: Just noticing plenty folks are sharing stuff in here anyway. Whoops. Egg meet face. =3
If you like the Beatles and trippy/weird song lyrics, check out Klaatu
This has to do with the death of music journalism in general. A lot of curation function was done through magazines and online publications, many of which are now gone or much smaller than they used to be: Pitchfork, Paste, NME, Rolling Stone and so on. Now curation is done through niche influencers.
By the way I do some curation on Youtube with an emphasis on Austin based indie and folk music. You can check out my Youtube of live music videos:
Best music discovery I’ve had was a thread on the something awful forums maybe 2 decades ago. People would post their favorites or ones they wanted similar artists to, and folks would chime in with suggestions. I discovered so much music in that thread, stuff that has become my core favorites. I learned about Chromeo in that thread (back when Needy Girl was new) and they have been in my top 5 or 10 ever since.
I do enjoy the Apple Music suggestions, but finding new is so much slower and more hit or miss.
There should be a site for community driven music suggestions similar to that old thread. Especially nowadays when so much is independent and obscure.4
Hey that’s a really cool idea! It could be based around ActivityPub. I kinda feel like a Threadiverse community might would suffice though?
I have all my tv shows curated for me via tunblr gifsets
I’ve been finding new music as last year I discovered a group that shares 50 songs a year, that’s been running since 2009. I actually already knew about it as artists I already follow are involved with the group, I just somehow never connected the dots until recently. This shit is gonna last me ages
Whoa! That sounds super awesome! That’d probably be too much music for me to listen to, though. I generally listen to a smaller mumber of artists, but I listen to like, all of their albums.
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]”.
Everything a computer does may as well be magic to 99.9% of people.
I can recommend Listenbrainz as a recommendation service.
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.
Sadly once you like one song that’s been on the radio once, it starts spiralling into other songs (often good even) you know from the radio and 0 other songs. With things that kind of come in sets (like “songs that played often on X channel in the 90s”) it becomes quickly a game of complete the set rather than discovering new music you’d also like.
There collaborative filtering algorithms do tend to have a popularity bias. The other downside is that these algorithms also don’t help new music and musicians get found.
Yes, though I’d argue that’s the same downside :D
I’ve worked in recommender systems for news specifically myself for a couple years so if anyone has some questions that aren’t too identifiable, AMA I guess
We had a system that combined your reading history (from a tracking pipeline that already existed similar to google analytics) (though it could have just as easily been sent from the front-end with the request for recommendations as we didn’t precompute anything) with several scoring systems (from simple things like popularity score per article which ignores your history, to multiple complex pretrained models that use your history to calculate a score optimising for some variable), all of which can be weighed and then the scores are added/multiplied and sorted and bam, out rolls your personal list of recommendations.
We could easily tone down (even turn negative) the populatity bias, but it turned out that it was just a strong predictor for what people wanted to read (measured in both click through rate and dwell time on the clicked page), so we’re not entirely sure whether news is just different (if you spent a couple of minutes per day scrolling past headlines you’ll have seen everything from today, and clicked what you cared about, and left again) or we weren’t really catering to the crowd that would be helped by getting non-popular recommendations, because they’re drowned out by the crowd that’s just looking for whatever’s popular.
Anyway, AMA
this is my annoyance too
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.
