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Ladies and Gentlemen, this is what slopperations are funneling all their money into in 2026
(files.catbox.moe)
"We did it, Patrick! We made a technological breakthrough!"
A place for all those who loathe AI to discuss things, post articles, and ridicule the AI hype. Proud supporter of working people. And proud booer of SXSW 2024.
AI, in this case, refers to LLMs, GPT technology, and anything listed as "AI" meant to increase market valuations.
The difference is that the human came to their conclusion with active reasoning, but simply misheard the question, while the AI was aware of what was being asked, but lacks the ability to reason, so it's unable to give any answer besides one already given by a real person answering a slightly different question somewhere in its training data.
A human who says "neither" would say that because they've heard this question before and assumed it was the same.
That's the difference. They made an assumption. This did not. It's just the most likely text to follow the former text. It's not a bad assumption. That requires thinking about it. It's just a wrong result from a prediction machine.
Right, but I'm saying that the process that a mistaken human is using here is actually not that different from what the AI is doing. People would misread the passage because they expect the number 20 to be followed by the word "pounds" based on their previous encounters with similar texts.
No, it's not misreading anything. It isn't reading at all. It just sees a string that is similar to other strings that it's trained on, and knows the most likely sequence to follow is what it output. There is not comprehension. There is no reading. There is no thought. The process isn't similar to what a human might do, only the result is.
But what we're saying is that the process is totally different - it's only the result that is similar. The AI isn't "misreading" the question - it understands that it's comparing pounds of bricks to a distinct number of feathers. The issue is that when it searches its database for answers to questions similar to the one it was asked, and sees that the answer was "they're the same," and incorrectly assumes that the answer is the same for this question. It's a fundamental problem with the way AI works, that can't be solved with a simple correction about how it's interpreting the question the way a human misreading the question could be.