How can users be literate of systems that evade the comprehension of even the experts who created them? For generative A.I., such a literacy seems to depend upon terms of art: misleading homonyms like ‘explainable’, ‘memorization’, ‘natural’, etc. In the field of computer science, terms of art serve as metrics to quantitatively evaluate A.I. performance with the aim of achieving greater efficiency in the tasks those systems were programmed to perform in the first place. Apparently, machine intelligence has blasted off; it approaches infinity and beyond while we stand still. With this post, I attempt to carve off a clean…
Recent Posts
- [Updated Deadline: July 15th] 2025-26 DRC Graduate Fellowship Application
- C&W 2025 Session Review: “Whose Time is It, Anyway?” (Keynote)
- 2025 C&W Session Review: From Chatbot to Classroom: Understanding Student and Instructor Use and Perceptions of AI (Session C)
- 2025 C&W Session Review: “Invention, AI, and Circulation” (Session F)
- 2025 C&W Session Review: “Moving through Space” (Session H)
- Blog Carnival 23: Editor’s Outro: “Digital Circulation in Rhetoric and Writing Studies
- Collage as Socialist Circulation
- Play, Rhetoric, and the Circulation of J.D. Vance Photoshops