Despite its complexity, ML can exhibit amusing quirks. For instance, neural networks can become "superstitious," learning patterns that are purely coincidental. This includes recognizing shapes in clouds or finding faces in random textures—an AI version of pareidolia. Models may correlate unrelated phenomena during training, resulting in unexpected and sometimes humorous outcomes. Such quirks remind us that AI, while powerful, can still stumble in charmingly human-like ways. Share your own fun findings or surprising aspects of ML—we'd love to hear them!