Detection Scores Warp Writing Quality

Relying on algorithmic 'authenticity' scores (eg, Pangram percentages) will shift value judgments from what writing argues or does to whether it passed a detector, incentivizing concealment, false positives, and a norm of policing rather than engaging with ideas. That dynamic escalates when models claim human‑level cognition (Jensen Huang’s AGI/Astra claim), because detection becomes a political and professional credential rather than a technical tool. — If true, editorial standards, academic integrity rules, and platform moderation will pivot from assessing argument and provenance to auditing machine‑signals, reshaping incentives across media, education, and law.