Danny Snelson: The Little Database vs. Large AI Models | #52

I’ve talked about AI a good deal in past episodes—and I continue to believe it’s a subject of critical discourse, even (and perhaps especially) as it’s ever more riddled with outstated hype. That’s why you’ll notice I’ve framed today’s conversation in the title as a contrast between large AI models and the little database, a term coined by today’s guest, Danny Snelson—but this conversation is so much more than that. In fact, he wrote a whole book about the subject—and it’s superb.This notion of the little database draws on the lineage of the “little magazine,” a type of publication popular in the second half of the 20th century for cheaply and rapidly distributing written works, especially experimental literature that didn’t quite fit in with existing literary norms. The little database is an archive that similarly embodies this DIY spirit—a curated (though not always too heavy-handedly) digital archive. Just as material realities fostered the possibilities and framed the constraints of little magazines in, say, the 1970s, so too do the material realities of digital media in little databases. The analysis Danny conducts in The Little Database doubles as an examination of how the rise of the web fostered and constrained the media that could circulate—and how and why.A whole lot more in this episode, including games, social justice, the poetics of search, and more!Support the show by checking out: ZBiotics (Decrease impact of hangovers. Code: JESSEDAMIANI for 10% off), MUD\WTR (43% off starter kits), 1Password (simplify your life and increase digital safety), Mission Farms CBD (healthy, effective CBD for relief, sleep, and wellbeing—25% off with email), NordVPN (the simplest way to protect yourself online, 74% off 2-year plans).Daniel Scott Snelson is a writer, editor, and archivist working as an Associate Professor in the Departments of English and Design Media Arts at UCLA, where he serves as faculty for the Digital Humanities, the Laboratory for Environmental Narrative Strategies, and the UCLA Game Lab. His online editorial work can be found at PennSound, Eclipse, UbuWeb, Jacket2, and the EPC. Published books include Elden Poem (Hysterically Real, 2022), Full Bleed: A Mourning Letter for the Printed Page (Sync, 2019), Apocalypse Reliquary: 1984-2000 (Monoskop, 2018), Radios (Make Now, 2016), EXE TXT (Gauss PDF, 2015), Epic Lyric Poem (Troll Thread, 2014), and Inventory Arousal with James Hoff (Bedford Press/Architectural Association, 2011). With Mashinka Firunts Hakopian and Avi Alpert, he performs as one-third of the academic performance group Research Service. His recently published book, The Little Database: A Poetics of Media Formats (University of Minnesota Press, 2025), examines the networked afterlives of media-reflexive works of art and letters in search of contingent methods for reading ordinary digital collections.CREDITS: This podcast is edited and produced by Adam Labrie and me, Jesse Damiani. Adam Labrie also edited the video version of the podcast, which is available on YouTube. The podcast is presented by Reality Studies. If you appreciate the work I’m doing, please subscribe and share it with someone you think would enjoy it.Find more episodes of Urgent Futures at: youtube.com/@UrgentFutures. Get full access to Reality Studies at www.realitystudies.co/subscribe