Scrapyard AI
2026-04-09 • Computers and Society
Computers and SocietyArtificial Intelligence
AI summaryⓘ
The authors discuss how older AI models, often replaced by newer ones, form a kind of digital scrapyard that can be reused for new experiments, especially when resources are limited. They highlight that these discarded models still have value and can be adapted for meaningful projects. One example, called Project Nudge-x, repurposes such legacy AI to study and explain how mining affects the environment and communities. This project helps both people and AI systems understand a shared history of environmental change. Overall, the authors see AI model churn as a chance for creative and cost-effective AI research.
AI model churnlegacy AI modelsresource-constrained experimentationAI scrapyardProject Nudge-xenvironmental impactlandscape interventionAI repurposingdigital reuseAI systems history
Authors
Marc Böhlen, Sai Krishna
Abstract
This paper considers AI model churn as an opportunity for frugal investigation of large AI models. It describes how the incessant push for ever more powerful AI systems leaves in its wake a collection of obsolete yet powerful AI models, discarded in a veritable scrapyard of AI production. This scrapyard offers a potent opportunity for resource-constrained experimentation into AI systems. As in the physical scrapyard, nothing ever truly disappears in the AI scrapyard, it is just waiting to be reconfigured into something else. Project Nudge-x is an example of what can emerge from the AI scrapyard. Nudge-x seeks to manipulate legacy AI models to describe how mining sites across the planet are impacting landscapes and lives. By sharing this collection of brutal landscape interventions with people and AI systems alike, Nudge-x creates a venue for the appreciation of a history sadly shared between AI and people.