Generative artificial intelligence (GenAI) company Anthropic has claimed to a US court that using copyrighted content in large language model (LLM) training data counts as “fair use”, however.
Under US law, “fair use” permits the limited use of copyrighted material without permission, for purposes such as criticism, news reporting, teaching, and research.
In October 2023, a host of music publishers including Concord, Universal Music Group and ABKCO initiated legal action against the Amazon- and Google-backed generative AI firm Anthropic, demanding potentially millions in damages for the allegedly “systematic and widespread infringement of their copyrighted song lyrics”.
Most things that I could talk about were already addressed by other users (specially @OttoVonNoob@lemmy.ca), so I’ll address a specific point - better models would skip this issue altogether.
The current models are extremely inefficient on their usage of training data. LLMs are a good example; Claude v2.1 was allegedly trained on hundreds of billions of words. In the meantime, it’s claimed that a 4yo child hears something between 45 millions and 13 millions words through their still short life. It’s four orders of magnitude of difference, so even if someone claims that those bots are as smart as a 4yo*, they’re still chewing through the training data without using it efficiently.
Once this is solved, the corpus size will get way, way smaller. Then it would be rather feasible to train those models without offending the precious desire for greed of the American media mafia, in a way that still fulfils the entitlement of the GAFAM mafia.
*I seriously doubt that, but I can’t be arsed to argue this here - it’s a drop in a bucket.