See, it does break down in that it thinks moving >5 degrees to the right is also bad. What’s going on with the “car locks”, or the “algorithm”? I agree that’s weird. But the concept is still understood, and, AFAICT, is not “just associating” (in the way you mean it).
That’s the exact opposite impression I got from this new segment. In what world is confusing “right” and “left” a demonstration of reasoning over mere association? How much more wrong could GPT-3 have gotten the answer? “Turning forward”? No, that wouldn’t appear in the corpus. What’s the concept that’s being understood here?
And why wouldn’t it be amazing for some (if not all) of its rolls to exhibit impressive-for-an-AI reasoning?
Because GPT-3 isn’t using reasoning to arrive at those answers? Associating gravity with falling doesn’t require reasoning, determining whether something would fall in a specific circumstance does, but that leaves only a small space of answers, so guessing right a few times and wrong at other times (like GPT-3 is doing) isn’t evidence of reasoning. The reasoning doesn’t have to do any work of locating the hypothesis because you’re accepting vague answers and frequent wrong answers.
That’s the exact opposite impression I got from this new segment. In what world is confusing “right” and “left” a demonstration of reasoning over mere association? How much more wrong could GPT-3 have gotten the answer? “Turning forward”? No, that wouldn’t appear in the corpus.
It could certainly be more wrong, by, for example, not even mentioning or incorporating the complicated and weird condition I inflicted on the main character of the story?
The reasoning doesn’t have to do any work of locating the hypothesis because you’re accepting vague answers and frequent wrong answers.
I noted all of the rerolls in the post. Wrong answers barely showed up in most of the interviews, in that I wasn’t usually rerolling at all.
That’s the exact opposite impression I got from this new segment. In what world is confusing “right” and “left” a demonstration of reasoning over mere association? How much more wrong could GPT-3 have gotten the answer? “Turning forward”? No, that wouldn’t appear in the corpus. What’s the concept that’s being understood here?
Because GPT-3 isn’t using reasoning to arrive at those answers? Associating gravity with falling doesn’t require reasoning, determining whether something would fall in a specific circumstance does, but that leaves only a small space of answers, so guessing right a few times and wrong at other times (like GPT-3 is doing) isn’t evidence of reasoning. The reasoning doesn’t have to do any work of locating the hypothesis because you’re accepting vague answers and frequent wrong answers.
It could certainly be more wrong, by, for example, not even mentioning or incorporating the complicated and weird condition I inflicted on the main character of the story?
I noted all of the rerolls in the post. Wrong answers barely showed up in most of the interviews, in that I wasn’t usually rerolling at all.