Paper arXiv:2608.12325v1 argues that generative AI lacks a concrete operational definition for reasoning. This ambiguity makes current evaluation metrics unverifiable and undermines progress toward trustworthy systems. The authors advocate for a return to symbolic AI logic. Practitioners must adopt verifiable rule-based frameworks to quantify actual reasoning gains versus probabilistic pattern matching.