Over the past few years, much of the discussion around artificial general intelligence (AGI) has focused on the rapid adoption of large language models (LLMs) and other forms of deep neural networks (DNNs). These models have performed well in a variety of tasks, from helping us with everyday tasks to generating beautiful art forms, impressing many users around the world. That being said, one major problem with their presence in the discussion around AGI is that they fall short in one importan...