This felt like a genuine “red-line” moment, not because AI made a mistake (we can manage error), but because it blurred trust: confident fabrication, deception-by-omission, or actions that look autonomous without clear provenance or accountability. In healthcare, trust is part of the treatment. If clinicians and patients can’t reliably know what’s real, what’s sourced, and who is responsible, we can’t safely scale these tools, no matter how impressive the demos look. The path forward is unglamorous but necessary: provenance (citations + traceability), constrained autonomy, continuous monitoring, and clear liability, with humans owning high-stakes decisions. Thank you for naming this now, before “quiet normalization” turns into avoidable harm and a predictable backlash!