AI
The Atlantic created a searchable database of the music used to train AI
Atlantic reporter Alex Reisner uncovered four music datasets used to train AI models and made them searchable for the public on the Atlantic's AI Watchdog site.
Key takeaways
- Four datasets of music being used to train AI models have been uncovered and made searchable.
- Google and Stability have confirmed in research papers that they used these datasets.
- Three of the datasets are distributed as lists of links to songs on YouTube or Spotify, requiring tools that violate terms of service to download.
Atlantic reporter Alex Reisner uncovered four music datasets used to train AI models and made them searchable for the public on the Atlantic's AI Watchdog site. Two of the datasets contain 12 million and 9 million tracks, while the other two contain over 100,000 songs each. Google and Stability have confirmed using these datasets in research papers. Three of the datasets are distributed as lists of links to YouTube or Spotify, requiring automated tools that bypass platform terms of service to download.
By the numbers
- 12M
- Tracks in the largest uncovered music training dataset
- 9M
- Tracks in the second largest music training dataset
- 100,000
- Songs in each of the two smaller datasets
- 4
- Datasets of music uncovered being used to train AI
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Common questions
- What happened with The Atlantic?
- Four datasets of music being used to train AI models have been uncovered and made searchable.
- Where can I read the original report?
- Read the full report at the_verge.
