AI Is Testing What Society Wants From Music
Briefly

AI Is Testing What Society Wants From Music
"This ought to be kept in mind when evaluating the rhetoric surrounding the topic of music made by artificial intelligence. This year, the technology created songs that amassed millions of listens and inspired major-label deals. The pro and anti sides have generally coalesced around two different arguments: one saying AI will leech humanity out of music (which is bad), and the other saying it will further democratize the art form (which is good)."
"The case against AI music feels, to many, intuitive. The model for the most popular platform, Suno, is trained on a huge body of historical recordings, from which it synthesizes plausible renditions of any genre or style the user asks for. This makes it, debatably, a plagiarism machine (though, as the company argued in its response to copyright-infringement lawsuits from major labels last year, "The outputs generated by Suno are new sounds")."
Human ancestors may have used music before language, with humming and drumming fundamental to human nature and musical instinct visible even in babies. AI-created songs have amassed millions of listens and attracted major-label deals, prompting arguments that AI will either leech humanity from music or democratize the art. Popular models like Suno are trained on large historical recordings and synthesize plausible renditions of any requested genre or style, which fuels plagiarism allegations even as companies claim the outputs are new sounds. Critics say the technology devalues musicians' skill and livelihoods and often produces uncanny, emotionally hollow results that can feel like life itself is being mocked.
Read at The Atlantic
Unable to calculate read time
[
|
]