Despite its complexity, machine learning has quirks. One is "Catastrophic Forgetting" in neural networks, where learning new information can completely erase previously learned info, unlike the human brain that retains diverse knowledge. It showcases ML's infancy in mimicking true cognitive processes. ML often excels in narrow tasks but struggles to generalize across broader domains, contrasting our flexible intellect. What are your thoughts or surprising facts on ML's current limitations or future potential? Share your insights!