Suno AI

Based on 405 comments (top 25 by upvotes shown, all from HackerNews threads). Sentiment is sharply polarized between utility and philosophy. POSITIVE: users generated 'plausible/catchy' German songs for a pizza party in minutes; one user says Suno + ChatGPT-assisted lyrics helped heal a two-year-lost friendship ('I would pay a lot of money to get the remainder of the song'); a guitar learner plugs in lyrics and gets arrangements to transcribe with a teacher; another rates it 'far more impressive than image generation' — strong at metal and rap, 'excellent' Spanish rap, good industrial metal, working across languages (though Dutch output oddly drifts Flemish/Brabant/Limburg). Power users assemble full songs via 'continue from this clip', 'get whole song', vocal remover and a DAW, describing it as 'an instrument that is easy to approach but hard to master', played through text. NEGATIVE: a shared song link regenerated into an entirely different track mid-replay ('This is not good UX. I shared it with my friend, which version will they hear?'); custom mode hides generation progress and invites redundant Create taps; a prompt direction ('put sleigh bells in the background') leaked into the lyrics as 'Klingelingeling'. STRUCTURAL CRITICISMS: limited fine-grained control (prompt-and-RETURN in ~10 seconds vs thinking through melody/harmony/rhythm, sound choice and mixing); output likely not copyrightable per a cited 2014 US Copyright Office opinion ('only works created by a human'); near-certain training on 'vast catalogues of copyrighted music' called 'wholesale theft'; sync-licensing professionals 'really sweating'; predictions that serious-musician adoption will be 'close to zero' and output suits 'wallpaper music for stores, youtubers, other library music consumers'. DEFENDERS counter that it lets one person do what required teams, compresses 'days, weeks and sometimes months' of demoing/iteration, and that formulaic scaffolding has always been part of music-making.

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