3 ms·
> unimaginable levels of copyright infringement This isn't how copyright works. The models don't wholesale encode literal information from original works and a
by ch4s3 4mo ago
> unimaginable levels of copyright infringement
This isn't how copyright works. The models don't wholesale encode literal information from original works and are substantive transformations. Now, you yourself as a user can use the models and weights to infringe on a copyright.
- frabcus 4mo agoThere have been some US cases about this, but it isn't generally settled internationally. "Fair use" is a US specific thing. Even in the US there are ongoing cases. Paper about how weights are a derivative work of the training data: https://arxiv.org/abs/2407.13493 https://arxiv.org/abs/2407.13493 Currently in progress law suits about AI copyright: https://informationisbeautiful.net/visualizations/the-rise-of-generative-ai-large-language-models-llms-like-chatgpt/#suing https://informationisbeautiful.net/visualizations/the-rise-o...
- ch4s3 4mo agoYeah, I'm familiar with that argument re derivative work, but weights aren't really what's being shipped or sold, and I think it's reasonable to argue that the generated tokens aren't derivative but substantively transformed. That said, I would prefer a situation where hyper-scalers make an effort to compensate sources of good data, e.g. newspapers and so on.
- ch4s3 4mo agoLike it or not, Bartz v. Anthropic established that as fair use. So it isn't legally copyright infringement as currently understood under the law. This may change but it isn't obviously wrong.
- stackghost 4mo agoI think parent poster was referring to the open secret that the early models were trained on massive collections of pirated novels and textbooks.