A recent discussion highlights that while large language models (LLMs) like ChatGPT can store vast amounts of clinical knowledge, they often struggle to apply it effectively in real-world human interactions. The gap between theoretical knowledge and practical, empathetic communication raises concerns about relying on AI for sensitive domains like healthcare.

Editor’s Note: If you've ever asked an AI for medical advice and gotten a technically correct but tone-deaf response, this is why. It’s a reminder that even the smartest algorithms lack the nuance of human judgment—especially when emotions and context matter. For healthcare, where trust and understanding are critical, this could be a dealbreaker.