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0 pointsinput_sh21d ago0 comments

The only reason you're saying that is because you haven't tried to build such a detector yourself. It's not like text where it's impossible to tell reliably if something's AI generated or not, from a technical perspective it's very trivial to detect anything coming straight out of a Suno/Udio prompt.

Nobody open sourced their detection algorithm as that would just trigger a cat-and-mouse game between Suno/Udio and a detection platform (and Suno/Udio have way more VC money than you do), but plenty are being sold as a service and work very reliably.

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CharlesW20d ago

> …from a technical perspective it's very trivial to detect anything coming straight out of a Suno/Udio prompt.

It's trivial to vibe-code something that detects watermarked output and accidental model fingerprints. But next week the watermarks will be defeated, and the accidental fingerprints will change and ultimately disappear. It's not possible to generally solve the "To what degree is this audio AI generated?" problem, any more than it has been to solve the same problem for text and images. https://mitsloanedtech.mit.edu/ai/teach/ai-detectors-dont-wo...

input_shOP20d ago

You're discussing pure hypotheticals, I'm discussing what you can do today with very little effort. If that changes, it changes, but so far it's trivially easy.

The question I'm more interested in is why other music streaming services are not interested in doing this trivially easy work to get rid of spam, even if it's just for the short run as you assume it will be.

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