The wall does not think

A one-page public notice addressing the systemic risks of uncritical reliance on large language models. The text argues that LLMs are probabilistic mirrors — fluent, not intelligent — capable of defending or refuting the same idea with equal confidence depending on how the question is framed. Drawing parallels with historical failures in automobile, aviation, and nuclear industries, it warns that regulatory response follows catastrophe, not foresight. Written for a general audience, the notice calls for informed, critical engagement with AI tools before consequential decisions are delegated to systems that bear no responsibility for their outputs.