Paper 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 returning to logic and symbolic AI principles. Practitioners must adopt these rigorous definitions to quantify actual reasoning capabilities versus probabilistic pattern matching.