this post was submitted on 25 May 2024
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The research from Purdue University, first spotted by news outlet Futurism, was presented earlier this month at the Computer-Human Interaction Conference in Hawaii and looked at 517 programming questions on Stack Overflow that were then fed to ChatGPT.

“Our analysis shows that 52% of ChatGPT answers contain incorrect information and 77% are verbose,” the new study explained. “Nonetheless, our user study participants still preferred ChatGPT answers 35% of the time due to their comprehensiveness and well-articulated language style.”

Disturbingly, programmers in the study didn’t always catch the mistakes being produced by the AI chatbot.

“However, they also overlooked the misinformation in the ChatGPT answers 39% of the time,” according to the study. “This implies the need to counter misinformation in ChatGPT answers to programming questions and raise awareness of the risks associated with seemingly correct answers.”

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[–] [email protected] 13 points 5 months ago* (last edited 5 months ago) (8 children)

If you don't know what you are doing, and you give it a vague request hoping it will automatically solve your problem, then you will just have to spend even more time to debug its given code.

However, if you know exactly what needs do do, and give it a good prompt, then it will reward you with a very well written code, clean implementation and comments. Consider it an intern or junior developer.

Example of bad prompt: My code won't work [paste the code], I keep having this error [paste the error log], please help me

Example of (reasonably) good prompt: This code introduces deep recursion and can sometimes cause a "maximum stack size exceeded" error in certain cases. Please help me convert it to use a while loop instead.

[–] [email protected] 10 points 5 months ago

Example of (reasonably) good prompt: This code introduces deep recursion and can sometimes cause a "maximum stack size exceeded" error in certain cases. Please help me convert it to use a while loop instead.

That sounds like those cases on YouTube where the correction to the code was shorter than the prompt hahaha

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