453K views · Jan 5, 2025 · 19:42 · 1 HN recommender · 3 mentions · discussed 2025–2026
Musician Benn Jordan uses AI to detect AI-generated music and digs into music industry data, including streaming payouts and sample library copyright problems. He covers ways to tell whether a track is human-made.
Why Hacker News points people here: HN recommends it in threads on AI music flooding streaming platforms, for its practical detection ideas such as compression artifacts.
“has a great video about using AI to detect AI music. It's worth a watch.”HN comment, 2025
“has a great video about using AI to detect AI music. It's worth a watch.”
Musician uses AI to detect AI-generated music.
Ben Jordan (from the band The Flashbulb) has a great video about using AI to detect AI music. It's worth a watch. this video
“Benn Jordan speaks at length about it in this video”
Benn Jordan discusses harm to musicians from AI impersonation and flooding.
Musicians who are being threatened by AI impersonating them, flooding the market with music like theirs, and otherwise actually harmed by this would disagree with you. Benn Jordan speaks at length about it in this video: this video
“talks about ways to id AI generated music by looking for compression artifacts used by the training data.”
Describes spotting AI music via compression artifacts from training data.
Not sure what algorithm Deezer is using, but Benn Jordan is a fairly tech savvy musician who talks about ways to id AI generated music by looking for compression artifacts used by the training data. this video
