Trapital: Is Generative Music Really the Next Napster?
Why it’s going to take a lot more than a text prompt to kill music as we know it
Originally published on Trapital.
It’s hard to find a corner of the Internet these days that’s not having a heated conversation about artificial intelligence — and AI media in particular.
Although AI has been used in the music industry for several years for features like playlist recommendations and metadata tagging, it’s generative AI that has fueled most of the conversation this past year, with worries over voice deepfakes, unlicensed music training, and an onslaught of algorithmically generated music, fueling fears that we’re headed towards a future in which artists are replaced by bots.
As debate rages, the number of generative music tools only grows. The past year has seen the release of numerous new models–including Google’s MusicLM, Facebook’s MusicGen, Futureverse’s JEN-1, and most recently, Suno. With each new release, a new achievement is unlocked: the length of clip generation, output in higher resolution, and, most recently, the ability to create lyrics to match the generated song.
AudioShake regularly works with labels, producers, publishers, and more to help open up songs to new possibilities. Any individuals or organizations looking to create stems with our AI can sign up at indie.audioshake.ai or contact us directly at info@audioshake.ai.
