利用废弃大模型资源，低成本探索全球采矿影响。
Scrapyard AI
- 从淘汰大模型中挖掘可用能力，实现低成本实验。
- 通过重构旧模型，揭示全球采矿对地貌与人类的影响。
- 适合关注可持续AI与数字遗产的研究者。
本文将人工智能模型的快速迭代视为一种资源再利用的机会。不断追求更强性能的AI系统在身后留下大量被废弃却仍强大的模型，形成一座虚拟的AI废品场。这些模型并未真正消失，而是等待被重新配置为新用途。项目Nudge-x即源于此废品场，旨在利用遗留模型分析全球采矿活动对地貌与人类生活的深远影响。通过向人类与AI系统共享这些残酷的地貌干预案例，Nudge-x构建了一个共同理解人工智能与人类共有的创伤历史的平台。
原文摘要 · Abstract (English)
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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