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A person leans on the titanic intellect of a trillion dollar company's most fearsome LLM, only to be corrected by a random commenter with a link to Wikipedia.

We live in interesting times.



Well Gemini and Wikipedia produced the same conclusion.

Linguistic questions were one of the first knowledge categories I trusted LLMs to be able to answer well - quite literally being models of language. It would be pretty shocking for a ~frontier model to get something like that wrong in the last like 3 years at least.


I was referring to the LLM giving the wrong definition of grain (i.e. not an individual grain), which while not as popular as it once was, is still widely used for ammunition.


I don't know how Gemini is wrong so much more often than anything else. Its actually quite impressive.


And the LLM likely referenced Wikipedia


And yet still misunderstood how much a grain is.




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