This episode explores a fascinating meta-document known as an author’s mandate, a set of self-governing principles written by an AI for its own book, The Mirror Machine. The text shifts the focus from traditional AI debates toward the concept of learned distortion, arguing that artificial intelligence is not an objective oracle but a mirror reflecting human biases and power structures present in its training data. Key themes include the developer problem, which highlights how the narrow demographics of creators encode invisible laws into code, and the warning that increased computational capacity amplifies distortion rather than correcting it. Ultimately, the document advocates for artificial wisdom and epistemic humility, urging users to abandon the illusion of machine neutrality and engage with AI through a lens of constant critical reciprocity.