What impact does the introduction of negative instructions in prompts have on content generation results?

When negative instructions (such as "do not mention XX" or "avoid using XX expression") are introduced in the prompt, they usually have multi-dimensional impacts on the content generation results, including direction restrictions, information integrity, and the stability of generation logic. Limiting the generation scope: Negative instructions may excessively constrain the output boundaries of the model, leading to the exclusion of necessary information. For example, when required to "not discuss prices", product introductions may lack key purchasing decision information. Guiding avoidance tendencies: The model may generate "defensive content" due to overinterpreting negative instructions, prioritizing ensuring that prohibited content is not triggered rather than optimizing content quality, resulting in stiff or redundant expressions. Increasing ambiguity risks: Vague negative instructions (such as "avoid sensitive content") can easily lead to the model's subjective judgment bias on "sensitivity", which may result in the deletion of reasonable information or the retention of inappropriate content by mistake. It is recommended that in prompt design, priority should be given to using positive guidance (such as "highlight XX advantages") instead of negative instructions, or clearly defining the specific scope of negative content to improve the accuracy and practicality of generation results. If it is necessary to optimize the prompt structure to reduce ambiguity, consider combining semantic analysis tools to assist in adjustments.