this post was submitted on 20 Jun 2023
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Machine Learning Unlocks the Secret to Hit Songs (nexlumina.com)
submitted 1 year ago* (last edited 1 year ago) by cura@beehaw.org to c/technology@beehaw.org
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Why it matters: A recent study at Claremont Graduate University has applied machine learning to neurophysiological data, identifying hit songs with an astonishing 97% accuracy.

Read more: 'Neuroforecasting': How science can predict the next hit song with 97% accuracy.

Read the Research article.

Discussion on Hacker News.

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[–] natarey@beehaw.org 5 points 1 year ago* (last edited 1 year ago) (2 children)

I'm increasingly convinced that the pop music of the future will consist entirely of mediocre or terrible songs written by real people -- that the flaws and fuck-ups of lousy artists will suddenly seem like magic when compared to an endless stream of algorithmically generated, pristine computer bullshit.

[–] doleo@kbin.social 3 points 1 year ago (1 children)

It seems likely to me that 'pop' music won't be created by people. As a result, people won't be made famous through music anymore, the cult of celebrity will move on to be more era-appropriate.

I mean, this only happened in the first place because it was extremely profitable to sell lots of records/concert tickets. That doesn't seem to be the case now.

So, if pop music has been manufactured to sell an image to impressionable people, there's little incentive to do that these days. It's surely more lucrative to fund an influencer than a 'musician'.

[–] natarey@beehaw.org 1 points 1 year ago

That's a good point -- it hadn't occurred to me that "people who sell a lot of music/are getting a lot of play" might not be a category of fame in the near future. Being able to generate films/books/etc. end-to-end at will would do the same thing to a lot of other categories of media celebrity -- close that off as a path to fame.

Which... huh. What the heck are people going to be famous for?