5 ms·
I'm getting so tired of this dumb kind of non-argument. You can't defend LLMs on their own merits, so you try to make them look smarter by throwing shade on hum
by ygritte 1y ago
I'm getting so tired of this dumb kind of non-argument. You can't defend LLMs on their own merits, so you try to make them look smarter by throwing shade on humans. That's a non sequitur and whataboutism.
- mlyle 1y agoNah-- I feel like I have my eyes pretty wide open about the shortcomings of LLMs (but still find them useful often). But any argument seeking to dunk on LLMs needs to not also apply equally to the alternative (humans).
- ygritte 1y agoAnd, wouldn't you know it, it actually does not also apply equally to the alternative (humans).
- mlyle 1y agoHow much of it doesn't? We're deterministic? (aren't we less deterministic than LLMs?) All of our training is auditable? (there's a wealth of unknown experiences in each person writing code, to say nothing of the unknown and irrelevant experiences in our evolutionary background). Maybe you can argue we don't use statistical completion and prediction as a heavy underpinning to our reasoning, but that's hardly settled. Nah-- you will have to try harder to make an argument that really focuses on how LLMs are different from the alternative.