Paper arXiv:2608.12325v1 argues that current generative AI lacks a concrete operational definition for reasoning. This ambiguity makes evaluating progress toward trustworthy autonomous systems nearly impossible. The authors advocate for returning to symbolic AI logic to create verifiable benchmarks. Practitioners must adopt these rigorous definitions to move beyond implicit, unquantifiable claims of model intelligence.