AI Labs Are Shredding Millions of Rare Books for Proprietary Datasets, Sparking Outrage
AI labs are buying, scanning, and shredding millions of rare books to create proprietary datasets for training AI models. This practice has sparked intense debate over the ethical implications of destroying physical books and the impact on cultural and historical knowledge.
Users are sharply divided. Some, like [space_comrade], call it 'book burnings but its lame ass techbro dweebs doing it,' while others, such as [invalidusernamelol], argue it's 'the quickest and easiest way to digitize books.' Others, like [Sibshops] and [Fancy_Gecko], argue that the destruction is 'viscerally upsetting and appalling' and should make everyone 'sick to their stomach.' Meanwhile, [Someonelol] suggests that the books could be donated or sold instead of shredded.
The community consensus is that the practice is destructive and unethical, with many condemning it as an industrial-scale erasure of cultural knowledge. However, there are pragmatic arguments in favor of the practice, highlighting a significant divide between those who see it as a necessary evil and those who view it as a moral catastrophe.
Key Points
#1AI labs are destroying rare books to create proprietary datasets.
Users like [space_comrade] and [Abracadaniel] condemn the practice as 'book burnings' and 'fucked up and completely unnecessary.'
#2Some argue the destruction is necessary for high-quality AI training data.
User [invalidusernamelol] claims it's 'the quickest and easiest way to digitize books,' while [supafuzz] says the labs 'didn't want any grubby human fingerprints on that sweet sweet data.'
#3The practice is seen as an ethical and cultural catastrophe.
Users like [Fancy_Gecko] and [Fredselfish] argue it should make 'anyone who loves books sick to their stomach.'
#4Alternatives to destruction are suggested, but not widely accepted.
User [Someonelol] suggests donating or selling the books, but this view is less prominent compared to the outrage over destruction.
Source Discussions (4)
This report was synthesized from the following Lemmy discussions, ranked by community score.