A Harvard-led study just dropped a result that will make every ER doctor’s stethoscope twitch. In a head-to-head against attending physicians at a Boston hospital, OpenAI’s o1-preview reasoning model diagnosed patients more accurately at the moment of triage, just when information is sparse, time is short, and getting it wrong can kill someone. The NumbersContinueContinue reading “The AI RoboDoctor Will See You Now”
Category Archives: Large language models
Chain-of-Thought (CoT) Prompting
Chain-of-Thought (CoT) prompting is a technique where asking questions, rather than issuing direct instructions activates a model’s full internal reasoning pathway. The key insight from the original framing is that instructions skip steps 1–3, jumping straight to synthesis, while questions force the model to work through the entire reasoning chain. What Chain-of-Thought Actually Is Chain-of-ThoughtContinueContinue reading “Chain-of-Thought (CoT) Prompting”
Dr Bob, Brain Mechanic 