یه دکتر به اسم جوزف یونیس نتایج یه تحقیق تر و تمیز رو رو کرده که نشون می‌ده وقتی خود مریض به‌جای پزشک با هوش مصنوعی درباره علائمش حرف می‌زنه، دقت تشخیص این چت‌بات‌ها ۶۰ درصد و درستی تصمیمات درمانی‌شون ۱۲ درصد افت می‌کنه

This is a well-designed randomized control study that asks the question: Does an LLM's ability to diagnose and manage the same medical scenarios degrade when a patient is the communicator versus a physician. The result: 60% drop in diagnostic accuracy, 12% drop in appropriate management decisions The answer essentially confirms the following suspicions: 1. LLMs are suggestible, naive, and sycophantic 2. Medical literacy drives output; less literacy, less accurate LLM outputs 3. Prompting still confounds frontier models' medical accuracy It is not safe to have people trust LLM medical advice when they're incapable of detecting their own bias and inaccuracies.