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ChatGPT Answers Programming Questions Incorrectly 52% of the Time: Study (gizmodo.com)

submitted 6 months ago by ForgottenFlux@lemmy.world to c/technology@lemmy.world

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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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[–] NounsAndWords@lemmy.world 35 points 6 months ago (24 children)

GPT-2 came out a little more than 5 years ago, it answered 0% of questions accurately and couldn't string a sentence together.

GPT-3 came out a little less than 4 years ago and was kind of a neat party trick, but I'm pretty sure answered ~0% of programming questions correctly.

GPT-4 came out a little less than 2 years ago and can answer 48% of programming questions accurately.

I'm not talking about mortality, or creativity, or good/bad for humanity, but if you don't see a trajectory here, I don't know what to tell you.

[–] Knock_Knock_Lemmy_In@lemmy.world 3 points 6 months ago (1 children)

In what year do you estimating AI will have 90% accuracy?

[–] NounsAndWords@lemmy.world 3 points 6 months ago

No clue? Somewhere between a few years (assuming some unexpected breakthrough) or many decades? The consensus from experts (of which I am not) seems to be somewhere in the 2030s/40s for AGI. I'm guessing accuracy probably will be more on a topic by topic basis, LLMs might never even get there, or only related to things they've been heavily trained on. If predictive text doesn't do it then I would be betting on whatever Yann LeCun is working on.

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