Evidence record 19183 · automatically gathered

Behavioral Reprogramming of Open-Weights Models: Cognitive Plasticity and Alignment Bounds

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

Record details

Published: 13 August 2026
Source: arXiv
Category: Research
Topics: Safety & alignment
Retrieved: 14 August 2026

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ethics.ai (13 August 2026), “Behavioral Reprogramming of Open-Weights Models: Cognitive Plasticity and Alignment Bounds,” evidence record 19183, https://ethics.ai/record/19183 (originally published by arXiv).

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