Anosognosia in LLMs: Probing Self-Awareness of Quantized Computational Substrate

Excerpt

arXiv:2610.06174v1 Announce Type: cross Abstract: Can LLMs recognize degradation in their own computational substrate? Inspired by anosognosia, a neurological condition in which patients fail to recognize impairments in their own abilities, we investigate whether LLMs can recognize degradation in their computational substrate induced by quantization. We first show that existing models fail to self-report their quantization state, even when provided with their own generated text as an external cu