{
  "id": 871,
  "url": "https://arxiv.org/abs/2606.18144v1",
  "title": "Memory as a Wasting Asset: Pricing Flash Endurance for Embodied Agents, and the Limits of Doing So",
  "summary": "A robot's flash endurance is a non-renewable stock: every persisted write spends one of a few thousand program/erase cycles and never refills, yet no fielded robot memory system prices which memories are worth an erase cycle. We treat embodied memory as depreciating capital and price that stock with a single endurance shadow price $η$, which makes cost-minimizing placement across a RAM / on-board NVM / cloud hierarchy a threshold in a wear-augmented per-byte index. The index is cost-optimal what",
  "authors": "Josef Liyanjun Chen",
  "category": "research",
  "topics": "agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-06-16T16:43:19.000Z",
  "fetched_at": "2026-07-14T14:14:50.326Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/871",
  "original_url": "https://arxiv.org/abs/2606.18144v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}