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#trainingdata

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“Suno, for those of you not familiar, is an #AI #SongGenerator: enter a text prompt (such as “a jazz, reggae, EDM pop song about my imagination”) and a song comes back. Like many #GenerativeAI companies, it is also being sued by all and sundry for ingesting #copyrighted #material. The parties in the suit — including major labels and the #RIAA — don’t have a smoking gun, since they can’t directly peek at Suno’s #TrainingData. But they have managed to generate some suspiciously similar-sounding AI generated materials, #mimicking (among others) “Johnny B. Goode,” “Great Balls of Fire,” and Jason Derulo’s habit of singing his own name.

#Suno essentially admits these songs were #regurgitated from #copyrighted source material, but it says such use was legal. “It is no secret that the tens of millions of #recordings that Suno’s model was trained on presumably included recordings whose rights are owned by the Plaintiffs in this case,” it says in its own legal filing. Whether AI training data constitutes fair use is a common but unsettled legal argument, and the plaintiffs contend Suno still amounts to “pervasive #illegal #copying” of artists’ works.”

#NYA / #music / #ElizabethLopatto / #amazon / #DataTheft <neilyoungarchives.com/news/3/a>

neilyoungarchives.comNeil Young Archives

"It became clear from the panel’s discussion that the biggest challenge in defining #opensourceAI lies in addressing the role of #trainingdata. Large language models (#LLMs) rely on vast data sets, often scraped from the internet without explicit permission. This messy data raises thorny questions about privacy, copyright and ethics.

Indeed, we know some of this data is flatly illegal."

thenewstack.io/open-source-ai-