The emergence of AI-driven programming tools like Codex and Copilot has revolutionized the way code is written and reused. Unlike human programmers, these systems lack the ability to understand legal concepts like copyright, attribution, and licensing. This excerpt explores how these AI models are trained on copyrighted data, their probabilistic approach to problem-solving, and the resulting challenges in upholding copyright laws and ethical programming practices. The deliberate choice to prioritize expedited releases over legality raises questions about the responsibility of developers in ensuring lawful output. The AI’s statistical pattern recognition, while efficient, stands in stark contrast to human reasoning and decision-making. The excerpt emphasizes the need for a nuanced approach to copyright compliance in the realm of AI-generated content.