I built a platform where AI music creators submit their tracks and the community rates them 1-5 stars. No one knows who made the track. No artist name, no follower count, no prompt shared. Just the song itself. Check it out at votemyai.com After 1,400+ ratings across 334 tracks, the pattern is clear: when you strip away the identity, quality speaks for itself. Tracks that would get ignored on SoundCloud because the creator has 3 followers are sitting at the top of the leaderboard next to people who’ve been doing this since Suno launched. Some things that stood out: Curation beats generation. The creators who iterate, refine, and only submit their best work consistently outperform the “generate and post” crowd. The average across everything is 3.3/5 -the top tracks are 4.5+. Genre matters. Cinematic, electronic, and R&B tend to score well. Some genres are just harder for AI right now, regardless of skill level. It’s weirdly addictive to rate. Average session time is over 4 minutes. People come in to rate one track and end up going through a dozen. The whole point is to give AI music a fair shot based on how it actually sounds -not who made it or how many followers they have. Would you rate AI music differently if you didn’t know anything about the creator? submitted by /u/Sensitive_Artist7460
Originally posted by u/Sensitive_Artist7460 on r/ArtificialInteligence