In a post on X, T. Karaletsos argued that "reviewing and scholarly attribution are broken" because the scale of AI and machine-learning paper output now overwhelms the system's ability to maintain a quality bar. In replies on X, Shoyer pushed the critique toward process, arguing that ML conferences often rely on self-selected reviewers rather than subject-matter experts, which he said works poorly for niche science topics.