3 ms·
Not really. Copyright largely remains about the PRODUCTION of content, not about the CONSUMPTION of it. Someone who grew up reading Marvel comics being able t
by kromem 3y ago
Not really.
Copyright largely remains about the PRODUCTION of content, not about the CONSUMPTION of it.
Someone who grew up reading Marvel comics being able to make new original comics in that style is perfectly ok. That same person perfectly replicating an Avengers comic is going to land them in hot water.
The focus on infringement really needs to be on what LLMs produce, not their training.
There definitely needs to be something like a secondary pass added which checks output against a vectordb of the training set to avoid too close derivative IP outputs (and ideally checks for jailbreaking or inappropriate content at the same time).
Any production services would need to subscribe to a service like that to stave off litigation on infringement, much like how the oft repeated complaints regarding YouTube copyright infringement eventually dissipated as content tagging was added (and shifted to complaints over too broad application of it).
A generative AI model having read the NYT but producing new original news articles in the style of a newspaper is a very weird argument for infringement.
A human driven service or an automated one that takes current NYT articles and summarizes or reworks them, publishing itself and cutting them out of the ad revenue is more problematic (but also widespread already and generally considered protected).
Services which exactly duplicate their articles would be more clearly infringement, but there's no evidence that's even a fraction of what ChatGPT is doing.
Criminalizing training would set back whatever county did so significantly in global competition for a critical new economic (and defense) trend, and would ultimately only be a minor stop gap for copyright holders as you'd simply see a market for secondhand generated content from foreign models trained on copyrighted data but then producing content that was itself not copyrightable but could be used to train domestic models.