The challenge for the open movement is already clear: build an alternative to corporate, closed machine learning systems. And to protect the commons from exploitation by these systems.

So how exactly has Wikipedia kept its good name while newer platforms have failed? And what transferable lessons does it offer?

Wikipedia is probably the most important single source in the training of A.I. models