Same for music like suno. I don’t need to remix and hallucitate new fusion music, I just need a really good way to effectively search/discover all music that already exists in one place.
When I give suno a prompt for “electrojazz metal microtonal polyrhythmic” I get a fusion remix that sounds good, but sometimes it sounds just like a plagiarized remix of something someone created before.
But search in Spotify will not give me good results if I search for that. It’s just the search that needs to become better for discovery, because the song type already existed to train suno, it is not truly creative.
Which is funny, because it should be faster, easier and cheaper to create a good search and discovery engine instead of training and implementing brute-force AI. Especially because there is so much music that there has to be some sample left when you search, but it needs to be less rigid…
tldr: I want spotify to be better at finding songs from a prompt than suno is at making a new song plagiarized from unmentioned influences.
The sad thing is that machine learning methods are actually pretty good at classifying data. So Spotify could implement an “AI” enhanced search that works with your search terms if they wanted. Unfortunately, they no longer seem interested in improving their product.
Its been a long time since ive used it but last.fm might be better for discovering obscure genre types than spotify. Spotify wants to generalize and distill their recommendations as much as possible because they want to appeal to a broad audience but iirc last.fm uses user tags to classify the music so its more likely something is tagged with the obscure search terms you’re looking for.
I think the miscommunication here is in the function. I agree with you, that you can use Spotify to find all kinds of music, and even incredibly niche music if you dig around. What the user you replied to wants is to be able to find that incredibly niche/hyper-specific music with a single search query.
If that user wants to discover music like the band Tool, but has never heard of the band Tool, they want to be able to type “complex polyrhythmic prog metal with tribal trance undertones” and have it spit out Tool, Lucid Planet, etc. Spotify can’t do that. Tool is popular enough where it isn’t a great example. But even still the best you could do is look at their curated lists for prog metal and polyrhythm and come up with what you want after skipping through some bands. And you would find things like Dream Theater and Periphery on those playlists which couldn’t be further apart from Tool and each other, despite sharing a general genre.
If you love ai trash and stock presented as big artist in order to cut revenue from everyone not part of the label cartel, then sure spotify is the best.
Same for music like suno. I don’t need to remix and hallucitate new fusion music, I just need a really good way to effectively search/discover all music that already exists in one place.
Isn’t that just Spotify?
When I give suno a prompt for “electrojazz metal microtonal polyrhythmic” I get a fusion remix that sounds good, but sometimes it sounds just like a plagiarized remix of something someone created before.
But search in Spotify will not give me good results if I search for that. It’s just the search that needs to become better for discovery, because the song type already existed to train suno, it is not truly creative.
Which is funny, because it should be faster, easier and cheaper to create a good search and discovery engine instead of training and implementing brute-force AI. Especially because there is so much music that there has to be some sample left when you search, but it needs to be less rigid…
tldr: I want spotify to be better at finding songs from a prompt than suno is at making a new song plagiarized from unmentioned influences.
The sad thing is that machine learning methods are actually pretty good at classifying data. So Spotify could implement an “AI” enhanced search that works with your search terms if they wanted. Unfortunately, they no longer seem interested in improving their product.
Its been a long time since ive used it but last.fm might be better for discovering obscure genre types than spotify. Spotify wants to generalize and distill their recommendations as much as possible because they want to appeal to a broad audience but iirc last.fm uses user tags to classify the music so its more likely something is tagged with the obscure search terms you’re looking for.
He said effective
works on my machines, maybe user issue
I think the miscommunication here is in the function. I agree with you, that you can use Spotify to find all kinds of music, and even incredibly niche music if you dig around. What the user you replied to wants is to be able to find that incredibly niche/hyper-specific music with a single search query.
If that user wants to discover music like the band Tool, but has never heard of the band Tool, they want to be able to type “complex polyrhythmic prog metal with tribal trance undertones” and have it spit out Tool, Lucid Planet, etc. Spotify can’t do that. Tool is popular enough where it isn’t a great example. But even still the best you could do is look at their curated lists for prog metal and polyrhythm and come up with what you want after skipping through some bands. And you would find things like Dream Theater and Periphery on those playlists which couldn’t be further apart from Tool and each other, despite sharing a general genre.
If you love ai trash and stock presented as big artist in order to cut revenue from everyone not part of the label cartel, then sure spotify is the best.
again user issue, no ai trash in my playlists
How do you know?