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To be clear, if each ARC task came with 100,000 examples, you could most likely train a DL model on each task and shove ARC that way. But they don't -- you get 2-4 examples per task. So now you have to exhibit some intelligence, not just fit a curvehttps://twitter.com/fchollet/status/1234789789309652992 …
Humans, with their prior knowledge and their highly general cognitive abilities, handle this just fine :)
One could argue that prior knowledge is trained model of lots of previous data...
Exactly, it is contradictory. Also, it suffers from the same reductionist mindset of IQ tests: presuming that there is only one “correct” answer to a series of inputs (numbers, figures...). In fact, the simplest/intuitive answer requires less intelligence than the elaborated one
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