Output

Discover the vast history of machine-written texts from long before ChatGPT in this anthology collecting 7 decades of creative writing produced by computer generation systems.

The discussion of computer-generated text has recently reached a fever pitch but largely omits the long history of work in this area—text generation, as it happens, was not invented yesterday in Silicon Valley. This anthology, Output, thoughtfully selected, introduced, and edited by Lillian-Yvonne Bertram and Nick Montfort, aims to correct that omission by gathering seven decades of English-language texts produced by generation systems and software. The outputs span many different types of creative writing and include text generated by research systems, along with reports and utilitarian texts, representing many general advances and experiments in text generation.

Output is first and foremost a collection of outputs to be encountered by readers. In addition to an overall introduction, each of the excerpts is introduced individually and organized by fine-grain genre including conversations, humor, letters, poetry, prose, and sentences. Bibliographic references allow readers to learn more about outputs and systems that intrigue them. Although Output could serve as a reference book, it is designed to be readable and to be read. Purposefully excluded are human–computer collaborations that were conceptually defined but not implemented as a computer system.

Copublished by Counterpath Press“Lillian-Yvonne Bertram and Nick Montfort’s Output: Anthology of Computer-Generated Text, 1953-2023 is an excellent resource and a milestone of scholarly research... It is a monumental reference for students and scholars alike.”
—Electronic Literature Organization

“Many of us have awaited this anthology! And for those who didn’t know they needed it, be amazed at the range of ideas represented here: machine unlearning, the art of nonwords, and systems that know mysteries.”
—Al Filreis, Kelly Family Professor of English; Director, Center for Programs in Contemporary Writing; Faculty Director, Kelly Writers House, University of Pennsylvania

“In this intriguing collection, Nick Montfort and Lillian-Yvonne Bertram have curated a thoughtful and thought-provoking throughline of the achievements and possibilities for human–machine collaborations in the textual arts.”
—Dan Rockmore, Professor of Mathematics and Computer Science, Dartmouth College; editor of What Are the Arts and Sciences? A Guide for the Curious

"An excellent compendium of historical systems output and interactions.”
—Inderjeet Mani, Narrative and Generative AI Lillian-Yvonne Bertram is the author of Travesty Generator, a book of computational poetry that was longlisted for the 2020 National Book Award for Poetry, and several other poetry books. They direct the MFA in Creative Writing program at the University of Maryland.

Nick Montfort is a poet and artist who uses computation as his medium. His MIT Press publications range from The New Media Reader (coedited) and Twisty Little Passages to, most recently, The Future and the second edition of Exploratory Programming for the Arts and Humanities. He is Professor of Digital Media at MIT and Principal Investigator in the Center for Digital Narrative at the University of Bergen, Norway.