Trends in Cognitive Sciences Embracing the suboptimal organization of the human brain This article argues that AI researchers should move beyond the idea that the brain is an optimal information-processing machine. The authors emphasize that brains are shaped by evolutionary history, biological constraints, development, noise, energy limits, and anatomical imperfections. Because of this, human cognition is not always perfectly rational or computationally optimal. Their main point is that these “imperfections” are not just flaws. They may actually explain why biological intelligence is flexible, robust, adaptive, and efficient in real-world environments. So, instead of copying only idealized brain principles, AI should also learn from the brain’s constraints, shortcuts, biases, and messy architecture. This could lead to more realistic neuroscience theories and more human-like artificial intelligence. cell.com/trends/cognitive-sc…