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This live stream plays endless Death Metal produced by an AI



Last month, an AI called Dadabots endlessly generated and streamed Death Metal on YouTube, like on the motherboard. Developed by music technologists CJ Carr and Zack Zukowski, this algorithm is just one of many Death Metal algorithms the duo has developed over the years, each one trained on a single artist discography.

The training method for dadabots is to feed a sample recurrent neural network whole albums of a single artist. The albums are divided into thousands of tiny samples, and then tens of thousands of iterations are created for the development of the AI, which initially generates white noise and ultimately learns to create more recognizable musical elements.

This special version of dadabots was trained on the real death metal band Archspire, and Carr and Zukowski previously had the neural network in other real ones Bands like Room For A Ghost, Meshuggah and Krallice are training. In the past, they've released albums created by these algorithms for free on Dadabots' Bandcamp ̵

1; but a 24/7 algorithmic Death Metal livestream is something new.

Carr and Zukowski published a summary of their work in 2017, stating, "Most style-specific generative music experiments have explored artists commonly found in harmony textbooks," which mainly means classical music, and smaller genres like Black Metal largely ignored. In the newspaper, the duo said it was the goal that the AI ​​should "achieve" a "realistic rendition" of the input tone, but in the end it gave them something completely imperfect. "Solo singers become a lush choir of ghostly voices," they write. "Rock bands turn into crisp Cubist jazz, and intersections of multiple recordings become a surrealistic chimera."

Carr and Zukowski say Motherboard that they want to have some sort of interaction with the audience with dadabots the future. Right now, you can hear how uninterrupted Death Metal is spreading and commenting along with other people watching the livestream on YouTube.

Coincidentally, the copyright of training a musical AI on a single artist is a thorny gray area without any legal reason. The music of this kind may not be as freely available on the Internet in the future. "I'm not going to say any tiny words," said Jonathan Bailey, CTO of iZotope, about the issue in The Verge that recently entered into AI-created music and copyright. "This is a total legal clusterfuck."


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