Imagine you are tasked with generating two different types of text: a concise, 100-word summary of a news article, and a long-form, creative story with no predefined length. Analyze the suitability of using a stopping criterion based on the model's dynamic output behavior (e.g., detecting repetition or low confidence) versus a simple fixed-length stopping criterion for each of these two tasks. In your analysis, discuss the potential benefits and drawbacks of each approach for both the summary and the story generation scenarios.