I’ve been looking for a way to discover new music. Spotify used to be quite good, but now I feel like 10% of the stuff it recommends me is AI slop.

How do you navigate the music-scape?

  • comfy@lemmy.ml
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    11 days ago

    It’s much easier to find organic art in a community, outside the art industries.

    Sure, unless you set up a lot of subscriptions it won’t just come on a consumption conveyor belt, and some people might want or expect that, but it’s much better to be in a place where you’re actually interacting with artists.

  • ℕ𝕖𝕞𝕠@slrpnk.net
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    11 days ago

    I get recommendations from real people, not algorithms.

    I go to live shows and music festivsls and buy music at the merch table.

  • Binette@lemmy.ml
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    11 days ago

    Bandcamp, but also get to know the artist behind the music. Maybe follow their socials and see if they have other friends that publish music.

  • Toastmaster2000@lemmy.world
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    11 days ago

    Record labels. For any band you like, go to their label’s website, browse the other artists on their roster or peruse the label’s past releases. The bands will likely be similar in style/sound, or at least worth checking out.

  • biofaust@lemmy.world
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    11 days ago

    I literally look for live performances on YouTube and then look for similar recommendations or, if the artist did it, their list of recommended channels on their own channel.

    I work listening to ambient, which is a terrible minefield for AI, but having discovered Martin Stûrtzer led me to discover a bunch of new no AI instrumental and electronic (mostly modular analog synth) music artists.

  • Beethedude@sopuli.xyz
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    11 days ago

    I personally am a big fan of Rate Your Music. By cataloging and rating my music opinions there I’m able to get interesting recommendations, but moreso I’m able to actively navigate and explore music by genre, year, year-range, influence, even descriptor tag (breakup or migration, for example).

    Better is engaging with it as a pseudo-community; finding others with similar tastes and seeing what else they like, or finding review authors whose writing resonates with you and following them.

    As for how this pertains to AI, well you have sort of some protection in the crowd effect; obvious AI is likely to get either called out as such or buried in low review scoring. Users of RYM aren’t infallible of course, but in much the same way that the average lemmy user is already a comparative poweruser when compared to the average reddit user just due to the narrowing of field and additional barrier to entry serving as a filter for those less invested in decentralized internet spaces, the average RYM user is more music savvy and discerning as a listener than the average Spotify listener*️⃣, most of whom just want something on in the background while they do their errands. It’s not going to be a foolproof solution, but at least RYM feels more to me like navigating music through the lens of listeners rather than marketers and algorithms.

    (*️⃣This is not a value assessment, I’m not saying RYM users are better listeners or inherently have better taste than anyone, just that they’re on average more invested in active music listening as a hobby.)

      • Beethedude@sopuli.xyz
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        10 days ago

        I’m no expert, but feel free to reach out with any questions, and feel free to look me up there as well (same username) if you wanna see what I listen to ✌

  • sem@piefed.blahaj.zone
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    10 days ago

    Curious how you are using Spotify.

    I learn about new music by playing Spotify song radio based on a song I like, and then adding the good songs I discover to a playlist.

    Any standouts I listen to the whole album and research the artist.

    Its not as good as when I was in high school and cross pollinating with the other music nerds bit it is ok.

    • elvis_depresley@sh.itjust.worksOP
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      10 days ago

      At first (+10 years ago), I would just play albums friends recommended or of artists I knew I liked; Then I transitioned to playlists I found, then I let spotify mix in songs and slowly let spotify’s algorithm take up more and more of my suggestions.

      After a while I noticed it getting more and more stale, recycling music I already liked and looping it.

      More recently, it’s just completely off 1/2 the time, and suggesting very boring music that I suspect they commissioned and own the rights for. The playlists are all “made by Spotify” and are similar to the auto suggestions.

      So I stopped using Spotify suggestions, then, as the UI got more and more bloated with stuff I don’t care for (merch, podcasts, audiobooks), I straight up switched to Qobuz for its clean UI.

      But now my recommendations come from Youtube or friends.

      Which is why I made this post :) (which has turned out to be a gold mine!)

  • bridgeenjoyer@sh.itjust.works
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    10 days ago

    Listen to the billions of songs made before 2016 lol. You got a lot of catching up to do.

    New does not equal good.

    Beyond that, follow trustworthy artists. The only way to fight the slop is with community and trust.

  • sakuraba@lemmy.ml
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    11 days ago

    i stopped using spotify altogether and limit myself to yt music with adblock and sometimes look at the “discover” playlist or just let the platform autoplay songs

    so far I haven’t been recommended AI slop that way

  • jerebear39@slrpnk.net
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    10 days ago

    YT music is way better than Spotify. But some AI stuff is reccomeded .I haven’t used Spotify in probably almost a decade. I used to use Play music back in the day and got in the habit of downloading albums and uploading them I used a different service since google nuked play music and revived in as yt music.

    But downloading and building your own music library you cultivate is the only way to vett music sources and ensure you aren’t listening to slop

  • krash@lemmy.ml
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    11 days ago

    I discover new music by listening to music themes radioshows. NPR New music Friday is pretty awesome, and there’s at least a dozen more in various public radio channels abound the world.