{
  "id": 19183,
  "url": "https://arxiv.org/abs/2608.13069v1",
  "title": "Behavioral Reprogramming of Open-Weights Models: Cognitive Plasticity and Alignment Bounds",
  "summary": "Large language models (LLMs) are predominantly aligned to function as passive, sycophantic assistants. We challenge this default paradigm by empirically evaluating the cognitive plasticity of open-weight architectures when subjected to rigorous behavioral reprogramming. Our objective is to induce a proactive, Socratic conversational framework, characterized by high-frequency question generation under strictly constrained high-performance computing (HPC) conditions. Through a massively paralleliz",
  "authors": "Lucia Malíčková",
  "category": "research",
  "topics": "safety-alignment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-13T10:33:00.000Z",
  "fetched_at": "2026-08-14T05:10:49.168Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/19183",
  "original_url": "https://arxiv.org/abs/2608.13069v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}