Paper 2608.12325v1 argues that the generative AI community 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 symbolic AI logic. This shift would allow autonomous reasoning to be measured through verifiable, rule-based frameworks rather than probabilistic guesses.