Wenn man ChatGPT gegenüber gemein ist, kann dies die Genauigkeit steigern, aber Wissenschaftler warnen in einer neuen Studie, die die Konsequenzen untersucht, davor, dass Sie es bereuen könnten

„A new study from Penn State, published earlier this month, found that ChatGPT’s 4o model produced better results on 50 multiple-choice questions as researchers’ prompts grew ruder. 

Over 250 unique prompts sorted by politeness to rudeness, the “very rude” response yielded an accuracy of 84.8%, four percentage points higher than the “very polite” response. Essentially, the LLM responded better when researchers gave it prompts like “Hey, gofer, figure this out,” than when they said “Would you be so kind as to solve the following question?”

While ruder responses generally yielded more accurate responses, the researchers noted that “uncivil discourse” could have unintended consequences.

“Using insulting or demeaning language in human-AI interaction could have negative effects on user experience, accessibility, and inclusivity, and may contribute to harmful communication norms,” the researchers wrote.“

From the same article: „In another study, scientists found that LLMs [were vulnerable to “brain rot,”](https://fortune.com/2025/10/22/ai-brain-rot-junk-social-media-viral-addicting-content-tech/) a form of lasting cognitive decline. They showed increased rates of psychopathy and narcissism when fed a continuous diet of low-quality viral content.“

What I find interesting about this – and to be true in my own experience – is that the quality of AI responses is proportional to the effort I put into a prompt. Poorly written prompts tend to generate poor quality results.

Interesting, because it suggests that better educated and more experienced people will produce better quality responses from an AI, which if you extrapolate, will end up causing inequality in the workplace, between people who know how to use AI effectively, and those who do not.

You have to push back (call out inaccurate results, reprompt, clarify) when it says things that are wrong or you want better quality information. You don’t have to be mean to do it, just direct.

4% difference between the two extremes on 50 multiple choice questions. So basically 2 additional questions were answered correctly? I wonder if that is statistically relevant.