Material Texts: Lisa Gitelman (New York University), “Typographical Hallucinations”
- Monday, November 4, 2024 - 5:15pm to 7:15pm
Class of 1978 Pavilion, in the Kislak Center for Special Collections on the 6th floor of the University of Pennsylvania's Van Pelt-Dietrich Library Center
We welcome Lisa Gitelman (New York University), for a talk titled: “Typographical Hallucinations.” Professor Gitelman writes:
The architects of today’s image-generating artificial intelligence—such as OpenAI’s DALL-E 3—admit that these systems struggle with text. They hallucinate mangled typographic forms even as they generate plausible contexts for typography. What can mistakes like these tell us about AI, and is there anything that they can tell us about typography? Is there something that DALL-E 3 “knows” about typography, in short, that we don’t? This talk activates questions like these in part by turning to the history of the printing trades in the nineteenth century and to specimen books published by type founders. Using the language of today’s computational neural networks, we might say that specimen books stitch together sequences of “tokens” based upon all of the sequences previously observed amid oceans of training data: anything their printers had read or set.
Lisa Gitelman teaches English and media studies at New York University, where she is among the founding members of NYU’s Digital Theory Lab, a group which began to study deep learning in 2018. She is the author of Paper Knowledge: Toward a Media History of Documents and Always, Already, New: Media, History, and the Data of Culture, both recently translated into Chinese.