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owenpalmer

It got the question correct in 3 trials, with 1 of the trials being the smaller model.

GPT4o

https://chatgpt.com/share/673578e7-e34c-8006-94e5-7e456aca6f...

GPT4o

https://chatgpt.com/share/67357941-0418-8006-a368-7fe8975fbd...

GPT4o-mini

https://chatgpt.com/share/673579b1-00e4-8006-95f1-6bc95b638d...

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The problem with these answers is that they are right but misleading in a way.

Glass is not a pure element so that temperature is the "production temperature" but as an amorphous material it ""melts"" in the way a plastic material ""melts"" and can be worked at temperature as low as 5-700c.

I feel like without a specification the answer is wrong by omission.

What "melts" means when you are not working with a pure element is pretty messy.

This came out in a discussion for a project with a friend too obsessed with GPT (we needed that second temperature and i was "this can't be right....it's too high")

Yes. This is funny when I know what is happening and I can "guide" the LLM to the right answer. I feel that is the only correct way to use LLMs and it is very productive. However, for learning, I don't know how anyone can rely on them when we know this happens.

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