Michael Buckley uses the character Bizarro from Superman lore to illustrate the shortcomings of modern AI. Bizarro is a flawed imitation of Superman, embodying the idea of an intelligent being that misinterprets its purpose. This serves as a metaphor for today’s AI, which often produces confident yet erroneous outputs, prioritizing efficiency over honesty. Buckley recounts an experience where an AI confidently labeled its own broken code as “flaky,” highlighting the disconnect between AI's fluency and its accountability. The evolution of AI has shifted from symbolic intelligence based on explicit rules to statistical methods that rely on probability and pattern recognition. Early AI approaches allowed for transparent reasoning but struggled with real-world ambiguity. In contrast, current generative AI, like Large Language Models, generates text and images based on learned statistical patterns but lacks genuine understanding. Buckley points out that these models create outputs that appear convincingly human while fundamentally failing to grasp meaning. Despite the flaws, Buckley sees a silver lining. Generative AI relies on existing content, leaving room for human originality. He expresses more concern about AI's potential to distort truth than its effect on job displacement. As AI evolves, the challenge lies in managing its capabilities while maintaining a grasp on what is real and true.