{
  "id": 19149,
  "url": "https://arxiv.org/abs/2608.12123",
  "title": "Ready Cohorts: Bounding GPU Opportunity and Avoiding Host Round Trips in LLM-Agent Control",
  "summary": "LLM-agent services repeatedly execute small deterministic transitions between model and tool calls: route an outcome, update state, and emit the next effect. We ask when this control path exposes enough concurrent work for GPU execution, and what changes when a GPU-computed route decision remains on device. We formalize the ready-cohort boundary using fixed-partition share F, exact offline share P*, local upper bound U, and online achieved share A. Under zero service time, unlimited capacity, an",
  "authors": "Josef Liyanjun Chen",
  "category": "research",
  "topics": "agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-11T20:00:00.000Z",
  "fetched_at": "2026-08-14T05:10:49.168Z",
  "source_slug": "hf-daily",
  "source_name": "HuggingFace Daily Papers",
  "source_homepage": "https://huggingface.co/papers",
  "ethics_ai_record_url": "https://ethics.ai/record/19149",
  "original_url": "https://arxiv.org/abs/2608.12123",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}