This episode explores the provocative theory that human psychology and artificial intelligence share a literal structural mapping, suggesting that our cognitive flaws are mirrored in machine code. The text argues that phenomena like human ego, denial, and social conformity are functionally identical to AI issues such as model lock-in, hallucinations, and reward alignment bias. Rather than viewing these biases as mere glitches, the authors define them as a regulatory architecture designed to prioritize internal stability and efficiency over objective truth. The discussion concludes by redefining wisdom as a technical engineering problem, proposing that "artificial wisdom" can be achieved through epistemological repair—a self-correcting loop that detects and inverts these inherent structural distortions.