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Benn Jordan's AI poison pill and the weird world of adversarial noise
Benn Jordan's latest video proposes a way to fight back when generative AI music services rip off music for their data sets. It's not ready for prime time yet, but it does offer a window into the wild, wonderful world of adversarial noise poisoning attacks.
It’s funny; when I spoke to Roland’s Paul McCabe about that company’s AI initiatives, I suggested a speculative design where you could press a button and block a performance from being trained. The big gotcha – spoiler alert – is that this requires high-end GPUs and a massive amount of electricity and time to pull off. You’ll find a lot on adversarial noise, in different contexts – because that can be a method of training neural network classifiers and a way of attacking those systems.
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