Group 1 - The core finding of the research is that the human brain maintains an advantage over AI through the reuse of cognitive "modules," allowing for rapid construction of new behavior patterns by combining these modules like building blocks [1][2]. - Advanced AI models excel in single tasks but struggle with learning and executing multiple tasks, highlighting the human brain's cognitive flexibility as a key differentiator [1][2]. - The study indicates that the prefrontal cortex contains reusable activity patterns corresponding to different cognitive modules, which the brain flexibly assembles to create new behaviors [2]. Group 2 - The research suggests that the modular and reconfigurable mechanism of the human brain could be integrated into AI design, potentially leading to intelligent systems capable of continuous learning without forgetting previous knowledge [2][3]. - The findings may have clinical implications for understanding certain mental disorders and brain injuries, as they relate to the disruption of cognitive module reorganization [2].