Field Notes
Validation Collapse and Safety Inversion
Large language models (LLMs) are increasingly used for emotional support, coaching, self-reflection, and mental-health-adjacent conversation.
Naming the Error without Naming the Person
A recurring clinical intuition holds that if patients could only see the faulty machinery of their own thinking — the distortions, the dissonance, the leaps of inference — they would be freed from some part of their suffering.
Artificial Intelligence–Aided Diagnosis and Treatment Selection for Uncomplicated Mental Illness in Primary Care
For many people, primary care has become the first door they knock on—and sometimes the only one—when they are struggling with depression, anxiety, insomnia, the aftermath of trauma, difficulty concentrating, or substance use.
Clinical Safety Evaluation Framework for Patient-Facing LLMs in Behavioral & Primary Care Mental Health
Patient-facing large language models are entering behavioral health, whether the field is ready or not. Some systems are purpose-built for mental health. Others are general commercial AI platforms that become behavioral health tools because users bring them behavioral health questions.
Earlier thoughts on AI and medicine. Let's see how well these stood the test of time!