Large language models prioritize high-probability token sequences, erasing linguistic idiosyncrasies and regional dialects. This statistical averaging creates a bland, homogenized style of prose. LLMs effectively act as a filter for human creativity. Practitioners must now consciously inject variance into prompts to avoid the sterile, predictable output typical of GPT-4 and similar models.