This YouTube Channel Streams AI-Generated Death Metal 24/7 ...

Over the past month, an AI called Dadabots has been endlessly generating and streaming death metal on YouTube,
as spotted by Motherboard. Made by musical technologists CJ Carr and Zack Zukowski, this algorithm is only one of many death metal algorithms the duo has developed over the years, with each one trained on a single artist’s discography.

The training method for Dadabots involves feeding a sample recurrent neural network whole albums from a single artist. The albums are split up into thousands of tiny samples, and then it creates tens of thousands of iterations to develop the AI, which starts out making white noise and ultimately learns to produce more recognizable musical elements.
This particular version of Dadabots has been trained on real death metal band Archspire, and Carr and Zukowski have previously trained the neural network on other real bands like Room For A Ghost, Meshuggah, and Krallice. In the past, they’ve released albums made by these algorithms for free on Dadabots’ Bandcamp — but having a 24/7 algorithmic death metal livestream is something new.

Carr and Zukowski published an abstract about their work in 2017, explaining that “most style-specific generative music experiments have explored artists commonly found in harmony textbooks,” meaning mostly classical music, and have largely ignored smaller genres like black metal. In the paper, the duo said the goal was to have the AI “achieve a realistic recreation” of the audio fed into it, but it ultimately gave them something perfectly imperfect. “Solo vocalists become a lush choir of ghostly voices,” they write. “Rock bands become crunchy cubist-jazz, and cross-breeds of multiple recordings become a surrealist chimera of sound.”

Carr and Zukowski tell Motherboard they hope to have some kind of audience interaction with Dadabots in the future. For now, you can listen to it churn out nonstop death metal and comment along with other people watching the livestream on YouTube.

Coincidentally, the copyright repercussions of training a musical AI on a single artist is a thorny gray area without any legal precedent guiding it, so music like this may not be so freely available on the internet in the future. “I won’t mince words,” Jonathan Bailey, CTO of iZotope said of the issue





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