Paper 2608.12325v1 argues that current generative AI lacks a concrete operational definition for reasoning. This ambiguity makes evaluation unverifiable and hinders progress toward trustworthy systems. The authors advocate for a return to symbolic AI logic. Practitioners must adopt these formal rules to quantify actual reasoning gains over probabilistic pattern matching.