Regression to the Mean: on LLMs and the quiet death of the new

LLMs prioritize maximum likelihood estimation, which inherently biases outputs toward the center of the training distribution. This mechanism treats out-of-distribution ideas as errors to be corrected, potentially creating a feedback loop that narrows cultural variance. Practitioners must recognize that model consensus favors typicality over genuine innovation.