In the quest for Artificial General Intelligence (AGI), neural network architectures continue to be a focal point of computer science research. Deep learning has demonstrated remarkable achievements, surpassing human capabilities in specific domains such as computer vision, games, and biological problems, signaling a potential path towards AGI. However, Swiechowski identifies critical limitations in deep neural networks that undermine their suitability as a standalone solution for achieving A...