Wissenschaftler haben gerade eine große Einschränkung bei der Art und Weise aufgedeckt, wie KI-Modelle Wahrheit und Glauben verstehen

„Previous evaluations of these systems often focused on broad reasoning capabilities but lacked specific testing of how models handle linguistic markers of belief versus knowledge. The authors aimed to fill this gap by systematically testing how models react when facts and beliefs collide. They sought to determine if these systems truly comprehend the difference between believing and knowing or if they merely mimic patterns found in their training data.“