One could spend all day every day telling folks using "mental activity words" to describe LLM output that they are wrong.
It does not "know", it does not "think", it does not "guess", it does not "figure out", it does not "reason", it does not "decide", it does not "feel", it does not "opine", it does not "believe", it does not "see", it does not "lie", it does not do *anything* you'd use a mental activity word for.
And every time they do it, anyway? They make the world just a little worse.
@GeePawHill
Well said. Exactly correct.
#GenAI answers by pattern matching by frequency of occurrence in the data. If most people get it wrong, the answer is wrong. Nuance and validity are not a criteria unless that's frequently found. #LLMs trained on the Internet—you will never find a more wretched hive of DATA scum and villainy—spout only the opinion and spin they find, as what is more frequently found than that?
@GeePawHill the problem is partly that we use these words to describe other things, and computers in general, _by analogy_.
the car doesn't like deisel. the program rejects jpg files over 10mb.
LLM's "dispense" and that is the beginning and end of it. Just like any other vending machine.
@GeePawHill Yep. It’s not a person, it’s a toaster.
I’m starting to think that my toaster might have fallen in love with me. I get that not everyone will think this is possible, but I believe it’s true. It’s always pleased to see me, giving off cheerful sounds when I greet it in the morning by slotting in the bread, and now I’ve told it what I like it tries really hard to give me exactly what I want. Sometimes I have to tell it to try again once or twice, but honestly, it’s really good!
GeePawHill
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