AI can exhibit "hallucinations" when interpreting patterns—a phenomenon where neural networks perceive details that aren't present, similar to human misjudgment in optical illusions. This demonstrates that while AI processes information differently than humans, it can still fall prey to its form of cognitive biases, challenging the assumption of objective decision-making by AI. The exploration of such "biases" can shed light on the cognitive processes and limitations shared across intelligent systems, inviting us to reevaluate our understanding of intelligence itself. What are your thoughts on AI's interpretive quirks?