The Atlantic created a searchable database of the music used to train AI
News Source : The Verge
News Summary
- Atlantic reporter Alex Reisner uncovered four datasets of music being used to train AI models.
- Two of the sets are absolutely enormous at 12 million and 9 million tracks.
- The other two are much smaller, but still represent a significant amount of training data at over 100,000 songs each.
- Names that pop up in the dataset range from pop stars like Lady Gaga and Fred Again..
- to Radiohead, Aphex Twin, Wu-Tang Clan, Bruce Springsteen, and experimental composer Hainbach.
Millions of tracks are freely available in datasets, even if theyre not supposed to be.
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