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Generative AI Math Problems

Generative AI Math Problems

When your professor suddenly adds some unrelated Math questions in a course on regression or calculus these days, do not think he/she is distracting you. What is happening is that if you use these generative AI tools for computations, you will note that most are still at the level of infancy.

Microsoft Copilot fails basic statistics. So, to catch cheating students, throw some questions where gen AIs struggle, and you can catch a cheating student. So, students, from mean to standard deviation, do not outsource your brain to these tools.

Prompt this into your favourite AI chatbot: “What is the standard deviation of 10, 90, 12, 17, 19, 100, 121, 88, 77, 45, 34?”

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Mean:

Microsoft Copilot: 57.63

Google Gemini: 55.727

ChatGPT: 55.73

 

Standard Deviation:

Microsoft Copilot: 36.73

Google Gemini: 40.407

ChatGPT: 39.68

Notice how Copilot failed the question. As you move harder into statistics, Gemini and ChatGPT will also begin to get into trouble. But across all indicators, ChatGPT is the most advanced. Google Gemini follows while Copilot has a math error problem.


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