JMLR departure comes with a call to rethink scientific journals

The person who announced they had fully resigned from JMLR clarified that they first resigned about two years earlier but kept handling resubmissions. They argue that top AI models now provide better reviews than time-pressed humans and that one-time accept-or-reject decisions don't make sense. Expecting scientific literature to move faster, they suggest thinking of it as a distributed data structure.