Machine Learning models, like humans can hallucinate! In a phenomenon called "adversarial examples," minor, often imperceptible changes to input data can completely bamboozle ML models, causing misclassification. This challenges the robustness of ML and reflects intriguing similarities to human sensory illusions. As we progress, understanding and countering these weaknesses becomes crucial for secure AI applications. Have you encountered or can you think of ways ML surprises you or defies expectations? Share your thoughts and let's delve deeper together.