UMaine Artificial Intelligence Webinar Series
UMaine AI Webinar
Thursday, April 3, 2025
12:00 p.m. – 1:00 p.m. EST
“Honey, AI shrunk the Archive: Large Language Models as Compression Algorithms”
Whether wielded by AI critics or champions, animistic metaphors like stochastic parrots and godlike oracles obscure important dynamics of large language models. Drawing on insights from the science of thermodynamics and software compression, this talk explores what mechanistic comparisons reveal about generative AI that analogies to living beings conceal. Just as a JPEG discards fine details to shrink an image, large language models smooth over anomalies and erase outliers, reducing knowledge to probabilistic patterns that privilege predictability over contradiction. The danger is not just that knowledge is retrieved imperfectly, but that it is remade, replacing archives with derivative reconstructions that risk becoming their own self-referential sources. Understanding how compression works can help us apply AI effectively while avoiding a future where knowledge is not stored but continually rewritten, and where the archive itself risks being compressed out of existence.
Moderator: Ali Abedi, Associate Vice President for Research

Speaker: Jon Ippolito, Professor of New Media and Digital Curation, University of Maine. Artist, writer, and curator who teaches New Media and Digital Curation at the University of Maine. Winner of Tiffany, Lannan, American Foundation, and Thoma awards, Ippolito is co-founder of the Variable Media Network for preserving new media art, UMaine’s Digital Curation and Just-in-Time Learning programs, and Learning With AI, a toolkit for educators and students that makes it easy to filter for AI assignments and resources by discipline or purpose. Ippolito has given over 200 presentations, co-authored the books At the Edge of Art and Re-collection: Art, New Media, and Social Memory, and published 90 chapters and articles in periodicals from Artforum to the Washington Post. His AI focus is creators—writers, programmers, and media makers—and how the technical, aesthetic, and legal ramifications of generative AI empower and frustrate them.
UMaine AI Webinar
Thursday, April 17, 2025
12:00 p.m. – 1:00 p.m. EST
“AI: Unexplained, Unpredictable, Uncontrollable”
Moderator: Julia Upton, Ph.D., Associate Professor of Mathematics, Certified AI Expert™, AI Developer™ and AI Red Team Professional (AIRTP+)
Speaker: Dr. Roman V. Yampolskiy is a tenured faculty member in the Department of Computer Science and Engineering at the University of Louisville. He is the founding and current director of the Cyber Security Lab and an author of many books including “AI: Unexplainable, Unpredictable, Uncontrollable.” Dr. Yampolskiy’s main area of interest is Artificial Intelligence Safety and Security.
