While it is true that much of the data used to train these models is sourced from publicly available sources, it's also true that much of this data was generated by individuals who may not have been fully aware of the implications or intended uses of their contributions. The question of who owns this data and how it can be used is an important one, and it's understandable that some people might feel uncomfortable about the potential for profit to be made from it. It's important to have a conversation about ethical considerations in the development and deployment of large language models.