They do a phenomenal job of guessing the next word, and our language is redundant enough that that alone, carried out recursively, can produce quite interesting results. But reasoning? I'm certain everybody has gotten in this pattern, because it happens on pretty much anything where the LLM doesn't answer right on the first shot:
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LLM: The answer is A.
Me: That's wrong. Try again.
LLM: Oh I'm sorry, you're completely right. The answer is B.
Me: That's wrong. Try again.
LLM: Oh I'm sorry, you're completely right. The answer is A.
Me: Time to short NVDA.
LLM: As an AI language learning model without real-time market data or the ability to predict future stock movements, I can't advise on whether it's an appropriate time to short NVIDIA or any other stock.
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