Artificial Intelligence use raises academic integrity concerns, yet institutions rely on detection tools of questionable reliability. Rapid version updates to chatbots, detectors, and humanization tools remain unaccounted for in detection research. Across 960 detection scores from two waves, the findings reveal detection outcomes are fundamentally reshaped by these parallel updates.