Paper 2608.12325v1 argues that the generative AI community lacks a concrete operational definition for reasoning. This ambiguity makes current evaluation metrics unverifiable and hinders progress toward trustworthy systems. The authors advocate for a return to symbolic AI logic. Practitioners should prioritize verifiable rule-based frameworks over probabilistic guesses to ensure construct validity.