this post was submitted on 22 Sep 2024
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Okay, then consider that when you input something into an LLM and regenerate the responses a few times, it can come up with outputs of completely opposite (and equally incorrect) meaning, proving that it does not have any functional understanding of anything and instead simply outputs random noise that sometimes looks similar to what one would output if they did understand the content in question.
Right. Like if I were talking to someone in total delirium and their responses were random and not a good fit for the question.
LLMs are not like that.
You don't seem to have read my comment. Please address what I said.
Can you paste an example of this error?
Have you ever used an LLM?
Here's a screenshot I took after spending literally 10 minutes with chatgpt very confidently stating incorrect answers to a simple question over and over. (from this thread) Not only is it completely incapable of coming up with a very simple correct answer to a very simple question, it is completely incapable of responding in a coherent way to the fact that none of its answers are correct. Humans don't behave this way. Nothing that understands what is being said would respond this way. It responds this way because it has no understanding of the meaning of anything that is being said. It is responding based on statistical likelihoods of words and phrases following one another, like a markov chain but slightly more advanced.