"The rise of LLMs like Gemini and DeepSeek has me, a statistics professor, sweating about exam cheating. So, I cooked up a 'trap question' strategy: craft questions using familiar statistical terms in a logically impossible way.
I used Gemini to generate these initial questions, then fed them to DeepSeek. The results? DeepSeek responded with a surprisingly plausible-sounding analysis, ultimately arriving at a conclusion that was utterly illogical despite its confident tone.
This gives me hope for catching AI-powered cheating today. But let's be real: LLMs will adapt. This isn't a silver bullet, but perhaps the first shot in an escalating battle.
Edited: Used Gemini to improve my grammar and style. Also, I am not going to reveal my search for the best method to desing a "trap question" since it would be used by LLM to recognize those questions. Perhaps those questions need some real deep thinking.