The Atlantic Unveils Searchable Music Database for AI Training
In a significant move towards transparency, The Atlantic's Alex Reisner has made four extensive music datasets accessible for AI training purposes.
The Atlantic has launched a searchable database containing four large datasets of music intended for AI training, as reported by Alex Reisner.
Among these datasets, two are particularly noteworthy, comprising 12 million and 9 million tracks respectively. This initiative is aimed at enhancing transparency regarding the data used in AI training.
The public availability of these datasets could play a crucial role in fostering understanding and discussion about the ethical implications of AI training methodologies.
Updates
Update at 18:46 UTC on 2026-06-20
The Verge AI reported Atlantic reporter Alex Reisner recently uncovered four datasets of music being used to train AI models and made them fully searchable for the public. Two of the sets are absolutely enormous at 12 million and 9 million tracks. The other two. The Verge reported Atlantic reporter Alex Reisner recently uncovered four datasets of music being used to train AI models and made them fully searchable for the public. Two of the sets are absolutely enormous at 12 million and 9 million tracks. The other two.
Sources: The Verge AI, The Verge