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AI Doesn’t Necessarily Give Better Answers If You’re Polite
- Public opinion on being polite to AI fluctuates, with users increasingly using 'please' and 'thank you' partly believing it leads to better results.
- Research indicates that polite prompts can positively affect language models, leading to clearer responses and fewer refusals.
- However, a study challenges the belief that politeness delays language model output degradation, stating its impact is minimal.
- Polite terms are said to be unrelated to the prompt’s main topic, and as such, have little influence on model behavior.
- The tipping point for language model output degradation is determined by the alignment of meaningful tokens, not polite language.
- The study presents a mathematical framework predicting when a model's output transitions to misleading content, unaffected by politeness.
- Politeness terms are likened to statistical noise within language model functioning, with minimal impact on output quality.
- The model's directional pull towards good or bad outputs depends on token alignment, not the politeness of the user's prompt.
- The study suggests politeness might not have a significant effect on AI behavior and highlights the importance of prompt tokens.
- While further research is needed on complex models, the paper's theory challenges the idea that politeness significantly influences AI responses.
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