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    Scams Targeting Frank Ocean Fans: The Danger of AI-generated Songs

    Scammers are targeting Frank Ocean fans! A new kind of music scam has emerged that can make fake tracks sound so convincing that even obsessive fans might have a hard time telling them apart. A crook is reportedly selling fake Frank Ocean tracks for thousands of dollars. Taking advantage of the singer’s fans desperate to hear anything from the reclusive artist. The danger of AI-generated songs.

    Scams Targeting Frank Ocean Fans

    The phony tracks, allegedly recorded with the help of AI, are being sold on a Discord server frequented by collectors of unreleased music. The scammer reportedly used a legitimate leak of a real unreleased Ocean track to build trust with the community. They then moved on to peddling bogus AI-generated songs. The seller reportedly made around $13,000 CAD by selling the fake tracks.
    The scam is only the latest example of how AI-generated songs can fool music lovers and undercut copyright protections. In the last few weeks, AI deepfakes that sound like Drake and the Weeknd have been causing a stir online. Some artists threaten to sue if they aren’t compensated for their likenesses being used in unauthorized ways.
    There’s a lot at stake for musicians and labels when it comes to the future of generative AI music. The technology has gotten so good in just a few short years. It can be difficult for fans to distinguish between a genuine song and an artificially created one.

    The Danger of AI-generated Songs

    Some artists believe that it’s up to the recording industry to create guardrails around AI-generated songs. Others are skeptical that the law will catch up with the rapidly changing technology. BT, created the infamous AI-generated Eminem song about cats that went viral. Since then, BT told Motherboard that the artists need to create their own rules for how they want to be represented in this new landscape.
    It’s unclear if the creators of generative AI can be held liable for copyright infringement. They train their software on a corpus of existing music to create new songs. The legal battle is sure to be an interesting one to watch. The tech is so new that the case law on this issue is still evolving. Yet the fact that it’s already a hot topic of debate among music fans, record labels, and news publishers points to how important it could be in shaping how artists control their likenesses in the future.

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