AI Music: musicians turn detectives to hunt algorithmic clones

They're not Batman, but close enough. Artists like H4rris and Nihil Young have become real digital investigators. They're scouring the web, hunting for AI-generated tracks. Their goal? To unmask those copying their sound to make money, without any right to do so.

These electronic music producers, used to crafting innovative beats, noticed something odd. Tracks suspiciously similar to theirs, but made by unknowns. It's like finding a doppelgänger of your dog, but it barks with your voice and steals food from your bowl. H4rris and Nihil Young are among the artists who have started actively searching for AI-generated music that replicates their style.

The issue is simple: audio generation tools, like those offered by Suno, have become incredibly good. They can churn out melodies and vocals that sound convincingly human. The catch is that these algorithms, to learn, are often fed tons of existing artists' music.

So, AI isn't creating from scratch, but "deriving" its style from human work. Some users admit using AI, others deny it. But the result is the same: music that sounds a little too familiar. Platforms like Suno produce algorithmically generated music that can replicate existing styles.

For musicians, this is a huge headache. Not only is their work being plagiarized, but the "grifters" - the tricksters - upload these AI tracks to streaming platforms. And guess what? They pocket the royalties, which should rightfully go to the original artist.

It's a legal and moral battle still being written. Musicians fear that AI-generated music could dilute the value of their original works and reduce their income. Who decides what's "inspiration" and what's "theft" when an algorithm is involved? That's the million-dollar question.