logoalt Hacker News

jasongrishkofftoday at 4:31 PM4 repliesview on HN

I've been working hard at this over at SubmitHub, developing a way to detect AI songs: https://www.submithub.com/ai-song-checker

These days roughly 20% of the songs coming through our platform for promotion are AI-generated. Roughly 75% of them are honest and declare their AI usage - but another 25% try to hide it. Some of them are actually writing scripts to "clean" their audio so that it can bypass detection.


Replies

fookertoday at 5:55 PM

Do not try to solve an unsolvable problem, you'll end up hurting real users quite a bit more than you might imagine. Imagine new enthusiastic users trying your platform getting hit with an AI label because of inevitable false positives.

'Detecting AI' is not a problem that has real solutions, the only avenue is something supply side like synthid. But that harms users too, by introducing further barriers for indie users.

show 1 reply
cleversomethingtoday at 4:54 PM

This is an aside, but thank you for doing this work! As a musician who plays real instruments and submits real songs to Submithub, it's nice to know that hard work is going into validation and prevention of scammers passing off AI as their own talent. Keep fighting the good fight.

show 1 reply
chasd00today at 5:36 PM

do you have any idea on what percentage of musicians use AI to create the song and then also create the sheet music so they can play it themselves? That seems like a decent workflow, use AI to get the song right, and then record yourself playing it with you're own creative tweaks. That's kind of how I do AI assisted coding.

show 4 replies
grey-areatoday at 7:33 PM

Can you detect terrible music instead? In many ways that’s a more interesting problem and gets to the heart of why people dislike mediocre slop.