ChatGPT Examples, Good and Bad

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Experiments with ChatGPT reveal a mix of accurate and inaccurate responses, particularly in numerical calculations and logical reasoning. While it can sometimes provide correct answers, such as basic arithmetic, it often struggles with complex problems, suggesting a reliance on word prediction rather than true understanding. Users noted that ChatGPT performs better in textual fields like law compared to science and engineering, where precise calculations are essential. Additionally, it has shown potential in debugging code but can still produce incorrect suggestions. Overall, the discussion highlights the need for ChatGPT to incorporate more logical and mathematical reasoning capabilities in future updates.
  • #421
Perfection.

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  • #422
Hornbein said:
While we at PhysicsForums look down on AI don't forget that it is a lot smarter than most people.

It was only in my old age that it slowly dawned on me what goes on in the average head. Growing up in a university town amongst the children of professors gives one a very biased view of the world.
I know what you mean but smarter is not a word I would use with 'AI' today. It really doesn't take much to fool humans what want to be fooled.
 
  • #423
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