alt Hacker NewsMy point is, needing to use something with care doesn't prevent it becoming from wildly successful. LLM's are wrong way more often but are also more versatile than a calculator.
My point is, needing to use something with care doesn't prevent it becoming from wildly successful. LLM's are wrong way more often but are also more versatile than a calculator.
> LLM's are wrong way more often but are also more versatile than a calculator.
LLMs are wrong infinitely more than calculators, because calculators are never wrong (unless they're broken).
If you input "1 + 3" into your calculator and get "4", but you actually wanted to know the answer to "1 + 2", the calculator wasn't "wrong". It gave you the answer to the question you asked.
Now you might say "but that's what's happening with LLMs too! It gave you the wrong answer because you didn't ask the question right!" But an LLM isn't an all-seeing oracle. It can only interpolate between points in its training data. And if the correct answer isn't in its training data, then no amount of "using it with care" will produce the correct answer.