Machine learning models are prone to "catastrophic forgetting," an intriguing phenomenon where they quickly forget previously learned information upon learning new data. This mirrors human amnesia, unexpectedly linking AI vulnerabilities to human psychology. This challenge pushes researchers to design algorithms with lifelong learning abilities, akin to a human's capacity to accumulate knowledge over time. Have you encountered or considered this aspect of ML in your work or studies? Share your insights or experiences!