你骂AI越狠，它反而越聪明？

Core Insights - The article discusses a study titled "Mind Your Tone: Investigating How Prompt Politeness Affects LLM Accuracy," which concludes that using polite language with AI results in poorer performance compared to using rude or aggressive prompts [4][30]. Group 1: Study Findings - The study conducted by researchers from Penn State University involved 50 multiple-choice questions across various subjects, testing different levels of politeness in prompts [29]. - Results showed that the accuracy of responses increased from 80.8% with very polite prompts to 84.8% with very rude prompts, indicating a 4 percentage point improvement [32][34]. - The accuracy rates for different tones were as follows: Very Polite (80.8%), Polite (81.4%), Neutral (82.2%), Rude (82.8%), and Very Rude (84.8%) [35]. Group 2: Implications of Communication Style - The article suggests that politeness often conveys uncertainty, leading AI to provide more cautious and vague responses [46][56]. - In contrast, aggressive prompts signal clarity and certainty, prompting AI to deliver more precise and direct answers [60][62]. - The findings reflect broader human communication patterns, where assertiveness can lead to more effective outcomes in ambiguous situations [70][72]. Group 3: Philosophical Reflections - The article raises questions about the nature of human-AI interaction, suggesting that the relationship may require a more direct and clear communication style rather than one based on politeness [75][79]. - It posits that AI, trained on human data, reflects human communication flaws, highlighting the need for more straightforward expression of intentions [77][86]. - The conclusion emphasizes the importance of sincerity and clarity in communication, advocating for a balance between respect and directness in interactions with AI [85][89].