Rude but smarter: letting AI interrupt and adopt personalities boosts reasoning accuracy
A study found that giving AI chatbots humanlike social traits—such as interrupting, varying speaking order, and adopting Big Five personality styles—improves their performance on complex reasoning tasks. In experiments with fixed vs dynamic turn-taking and an interrupted-talk setting, accuracy on the Massive Multitask Language Understanding benchmark rose from about 68.7% (fixed order) to 79.2% ( interruption-enabled), especially in tougher scenarios. The researchers suggest that such conversational dynamics can boost collective AI intelligence and may be applicable to real-world collaborative tasks.
