The article provides valuable insights, but there are some areas that need clarification. The corrigendum addresses a repetition error, but the revised paragraph could benefit from further explanation on how task-switching and reinforcement learning are applied in AI. In one opinion, the article simplifies biological processes involved in attention, such as neurotransmitter roles in task-switching, and a more detailed discussion of these mechanisms in relation to AI design would be helpful. Also, while the article discusses attention flexibility in AI, it doesn’t fully address the challenges of applying attention to dynamic, multimodal tasks or those requiring long-term memory. I would also like to highlight that the concept of task-switching in AI, introduced in the corrigendum, would benefit from more concrete examples of its practical application.
I hope the author will also share their opinion on these; thanks!