Earlier quoted context omitted.
The more degrees of freedom the less likely independent creation rather than copping occurred. LLM’s recreating training material causes real issues such as Google’s dealing with PII leaks: https://ai.googleblog.com/2020/12/privacy-considerations-in-... If one prompts the GPT-2 language model with the prefix “East Stroudsburg Stroudsburg...”, it will autocomplete a long block of text that contains the full name, phon…
Privacy, where there's a problem if some original data can be inferred/made out (even using a white box attack against the model), is a higher bar than whether an image generator avoids copyright-infringing output under non-adversarial usage. Additionally, compared to image data, text is more prone to exact matches due to lower dimensionality and usually training with less data per parameter. While it's still a topic…
In terms of copyright infringement the bar is quite low, and copying is a basic part of how these algorithms work. This may or may not be an issue for you personally but it is a large land mine for commercial use especially if you’re independently creating one of these systems.