Patch-Local LLM Reliability as Alternative to Universal Impossibility

A recent study published on arXiv (2605.30628) contends that achieving universal reliability in large language models (LLMs) is unattainable due to the potential emergence of new failure modes across an infinite range of tasks, tools, schemas, knowledge sources, and evaluator criteria. Nevertheless, the systems currently in use function within specific operational boundaries, such as legal assessments, medical retrieval-augmented generation, code correction, customer support, and contract analysis. In these areas, failures tend to be infrequent, repetitive, and limited to a small set of issues, framing reliability as a problem of catalog discovery and intervention coverage. The paper outlines this shift through two propositions and a corollary, beginning with a worst-case scenario.