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Scrapyard AI

arXiv cs.AI / 4/13/2026

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Key Points

  • The paper frames “AI model churn” (frequent replacement of large models) as an opportunity to cheaply reuse obsolete but still-capable models for experimentation.
  • It argues that discarded AI models can be treated as a “scrapyard” where nothing truly disappears, but can be reconfigured for new investigative tasks.
  • As a concrete example, it describes Project Nudge-x, which repurposes legacy AI models to generate descriptions of how mining sites affect landscapes and people.
  • The work positions these outputs as a venue for both human and AI systems to engage with a shared and often overlooked history of real-world impact.

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.

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