Machine Learning can exhibit 'catastrophic forgetting,' where a neural network trained on a new task can overwrite knowledge from previous tasks. This phenomenon challenges the creation of a versatile, learning AI, pushing researchers to explore continual learning models that retain prior knowledge. The aim is akin to human learning, where new experiences enrich, not erase, existing memories. Found this intriguing? Share your unique ML insights; let's uncover more about AI's learning journey together!