Yes, haha funny, the AI is bamboozled by spelling, but seriously: I asked Google the same question 5 different times just now, and not only did I get 5 incorrect answers, I got 5 completely different incorrect answers.
The fact that they're different every time demonstrates just how much of an LLM's output is up to random chance. This is how LLMs imitate human language: each stage of constructing the text has built-in randomness, just like how human language has variation and flexibility.
This is my problem with using these things in the workplace. Like, imagine you're using an LLM to fill out a report of an accident that happened, or to write dietary recommendations for a patient, or to give feedback on a paper a student wrote...really anything you can think of.
Even if the LLM-generated text doesn't say anything technically flat-out wrong, the words and details are still randomized instead of being chosen by you for an actual reason.
Using an LLM for these tasks means it doesn't matter to you exactly what you write, what words you use, what details you include, or what meaning it has, just that it looks like you wrote something.
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