[ stretches ]
[ sighs ]
Alright... I guess it's time for another one of my "I will listen to your song" posts
this post was submitted on 14 Aug 2026
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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.
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:
Beat 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
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
My bandcamp findings dump this year so far :3
- Mikaela Davis — Graceland Way
- Tara Clerkin Trio — Somewhere Good
- Smirk — Speculative Fiction
- Magic Tuber Stringband — Heavy Water
- Courtney Barnett — Creature of Habit
- Sarah Kinsley — Fleeting EP
- Father Dionysos Tabakis — Paradise Metal
- Ecca Vandal — LOOKING FOR PEOPLE TO UNFOLLOW
- Rafael Anton Irisarri — Points of Inaccessibility
- Kelsey Lu — So Help Me God
- Underwater Sleep Orchestra — The Night and Other Sunken Dreams
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.
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.
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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.
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Big Url is the only AI I trust to recommend me music.
Wikipedia rabbitholing is my preferred method. Start on an article about a band or genre you like, then just glance through for influences and subgenres etc., read those articles to find new band names, give 'em a quick listen on whatever platform you use (usually just YouTube for me), and continue the process as needed i.e. if you don't like what you hear for a given artist, just keep clicking till you find the next one. It sounds like it'd take forever this way, but I've found new bands I love within about 10 minutes of clicking, and this is consistently the case. Algorithms have never, ever recommended me anything I actually liked, and this is true for music, games, TV shows and whatever else. They just don't work on any meaningful level.
But this only gets you some of the larger bands. Many of the bands I listen to have no wikipedia article or even much of an online presence outside of instagram or facebook to announce gigs and shows
This is kinda genius. I'm gonna try it lol
Listen to Fantastic Planet by Failure, you're welcome.
I do this for cartoons. If you tell me about a cartoon I haven’t heard of my immediate reaction is to download it.
I have almost 600 cartoon series, none older than late 80s.
One of my favourite bands. Solo albums by Louis and Genevive (the duo behind Knower) are also fire. Knower - Knower forever
Love Louis Cole and everyone even remotely associated with him. Genevieve Artadi, Moonchild, Jacob Mann, Thundercat, Ben Wendel, MonoNeon… and then going from those guys also lead into a lot of other great music.
music discovery via the internet archive tags
Youtube's algo has been pretty good at giving me artist/song recommendations... admittwdly after over a decade of liking and subscribing to a ton of bands on the platform. Brought me IDLES and Viagra Boys first LPs before anyone else, and just this week turned me on to Vancouver band PISS. They're fucking raw, take heed of the lead's warning before they start.
Same. Over the last decade that was one of my main main ways of finding new music. Don't really had friends with similar tastes and record labels luckily all had official accounts. Plus promotion accounts who upload music from certain genres. There are definitely genres I found via the algorithm.
I recommend these 3 bands:
Mr. Bungle Grim Salvo Viagra Boys
Word to the wise every Mr. Bungle album is different so start with California for something easy and stable.
Recent metal album I picked up on Bandcamp Friday: Cairiss - Wilderness
I do occasionally hear metal but this is the first of this subgenre I‘ve listened to. Really enjoyed it though, so I‘m open to recommendations
Don't forget music blogs and reviewers (which may technically fall under "randos"). In this age of bland algorithmic recommendations, going back to reading articles and reviews written by someone with similar musical tastes has once again become my favorite way to discover new music.
So now I need to discover good blogs (or blog posts) to discover good music 🤔
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Neil Cicierega's Mouth Albums are all fire.
Triple-Q makes some real solid bangers.
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Mwahahahaha my evil plan to get more good songs is working >:3
two older ones I always go back to are The Protomen and Gunship.
and if you like the story telling in a Protomen album and you like The Magnus Archives podcast, you may also find some joy in The Mechanisms: https://www.youtube.com/watch?v=ppmcM_aEMTY but that's the biggest stretch because it's less music and more audio storytelling weirdness.
My experience has generally been that any song recommendations by the algorithm are completely wrong. Even when I build the playlist with a certain vibe and then request suggestions from the algorithm, it will go into left field and pick the most awful choices to fill out the list.
You would think that, with all this data they are keen to collect, they would have some level of understanding of vibes. Not direct understanding, obviously, but I would have thought them capable of cross-referencing various listening profiles to suggest better music.
It's legit one of the things I could see AI actually being good at and used ethically for. I guess the fact that it's not used for better taste profiling is a small mercy, considering the technology would be used for more nefarious stuff elsewhere if it was any good.
A prime example: the song "The Hoodin' of Miss Fannie Deberry" by Kenny Rogers is decidedly different from the rest of his catalog. No matter how hard I try to get Spotify to find songs with similar vibes, I can't escape Kenny Rogers and general country tunes. It's maddening.
Any given song radio will trap you in a decade of music/genre, and pay no attention to the vibe of a song.
It has gotten slightly better recently with making custom playlists for me, but once my hyper-focus changes, I'm sure it will be out of sync with me again. Frontier Psychiatrist Radio slaps, but I'm still trapped in the '90s-'00s.
This has also been my experience (hence the meme). I've taken to finding music via human recommendations, as well as finding music that is related to another artist (for example, songs featuring another artist, or recommendations from artist, like their inspirations and stuff).
Another thing I've taken to is listening to artists' entire discographies, which has been really great for me so far.
Oh, and internet radios are cool. Especially really niche and indie ones.
That was largely my experience as well. Things like last.FM or listen brains would tend to give more relevant results at first. It certainly didn't happen overnight or even soon. But the algorithm through YouTube music has gotten really good for me. I have a wide listing range but all of it still pretty niche and eclectic.
But I'm not going to lie that took it a few years to be able to do. I don't know if they just improved their algorithm in that time. Or if my listening habits have helped it. But I'm pretty happy with the recommendations and things it brings up. The thing I try not to do as a rule of thumb. Is to thumbs down or down vote something. I have found that on tracks I don't like if I skip them early and often. It picks up on the fact.
Again this may have changed I remember Pandora back in the early 2010s. Up voting the stuff I liked, downvoting the stuff I didn't. It definitely got to a very narrow feedback loop with extremely poor discovery.
Omg I love ELO! Jungle is one of my favourite songs by them :3
I too prefer human music.
Dungeon synth
Ohhh I've read about dungeon synth! Or maybe I watched a video? I can't remember. I really should give it a try. Thanks!
Seeing who's playing with bands you like can be an inspiration. That's how I found Slothrust, years ago.
It's time for me to recommend some songs I like:
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Heaven Pierce Her - War Without Reason (from Ultrakill, instrumental)
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Sidney Gish - Impostor Syndrome
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Tally Hall - Ruler of Everything
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Miracle Musical - Time Machine
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Lemon Demon - Lifetime Achievement Award
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Jamie Paige & OK Glass - BIRDBRAIN
Unfortunately I barely have friends
Making friends can be hard, but you're already in a good place to make some (Fediverse).
Good Luck <3
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