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“A quadrilateral with perpendicular diagonals is called a kite or a rhombus” yes MAYBE but it could also just be some quadrilateral with no special name. I hate AI so much.

@futurebird I'm more worried about the definition not including squares.

@adriano square is a kind of rhombus I can excuse that. I’m more galled that this is thinking “if A then B” is the same as “if B then A” It’s not helpful. It’s bad. It’s what I spend my days trying to keep them from thinking!

@futurebird @adriano It's not that it doesn't resemble human thought so much as that it resembles the laziest form of human thought (but after reading an inhuman amount of input).

I know there are mathematicians trying to develop machine learning tools that go beyond the language model approach. But LLMs can't do mathematics worth a damn *because* they are language models.

@futurebird @mattmcirvin @adriano

Yes, the deceptive kind. Like that step that looks perfectly fine, but in fact is rotted underneath to within millimeters of the visible surface and will snap the instant you step on it.

@TerryHancock @futurebird @mattmcirvin @adriano There’s no thought or logic going on in them at all. They’re “let autocorrect fill in ___” but with more variables and having used more of our data and hard work to do it.

@futurebird @mattmcirvin @adriano
i think the worst kind of wrong is an insignificant mistake with no partial credit

@livcomp @mattmcirvin @adriano

I never let that happen. Nah waste my time trying to trick me into thinking you know something when there is nothing there and I get cranky.

@futurebird @livcomp @mattmcirvin @adriano Trying to impress that on my second grader when I helped her with her homework. She did the right math/logic but fucked up the arithmetic at one step and was ten off.

"But that's the way my teacher showed me!"
"I'm not saying you're following the wrong idea, I'm just saying you counted 44 here but it's only 34."
"Oh."

@futurebird @mattmcirvin @adriano "It sounds kinda correct" is literally the only thing these kinds of AIs are good at. Their advantage is being able to find "it sounds kinda correct" answers across enormous datasets significantly faster than a pair of undergrads.