The discussion of open source was pretty anemic. The author seems to think open source is only GPL copyleft. In reality the vast majority of open source is permissively licensed, and the development was funded by for-profit companies. That seems like a crucial thing to consider when discussing how our information commons has come to be.

Near the end they include a paragraph claiming we should interpret this piece as being about more than self-interest and resistance to change, but it doesn't really feel like the piece offered a taste of what that "more" is.

The most thought-provoking part for me was considering that AI companies have used pretty much all available data for training while "they spend more and more money to create proprietary training data". That seems to break a sort of intuitive social contract - like, well you all used everyone's knowledge. Send yours back out too.

Grant from 3brown1blue released a video exploring the economics and mechanics that enable careers in math, in light of the AI company releases over the last couple weeks. Overall it was a lot more hopeful, and it didn't need to strain awkwardly like this piece to apply an ill-fitting historical framework like enclosure. Worth checking out: https://www.youtube.com/watch?v=LKrwhjOI8Nc