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Suno's AI: A Copyright Quagmire

An AI wonderland where originality meets uncanny valley — and copyright issues abound.

Suno’s music platform is a mixed blessing for creators and copyright holders alike. While it promises a playground for remixing and generating new tracks, its flawed filter system makes it shockingly easy to bypass.


Minimal tweaks—slowing down, speeding up or adding white noise—to a track can fool Suno's filters, allowing users to create near-identical versions of popular songs. These covers are so convincing that they could easily be mistaken for alternate takes or B-sides by casual listeners.


The loophole is vast: indie artists and musicians on smaller labels are the most vulnerable, with their tracks slipping through the cracks undetected. This raises ethical concerns about monetization without proper royalties, potentially turning Suno into a tool for copyright infringement rather than an innovation in music creation.


Artists like Murphy Campbell have faced unexpected consequences; Vydia’s claims against her YouTube videos, which turned out to be public domain songs generated by AI, highlight the systemic issues at play. It's a stark reminder that while technology advances, the legal frameworks must keep pace.

Original source:  https://www.theverge.com/ai-artificial-intelligence/906896/sunos-copyright-ai-music-covers
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