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You can easily convert these tasks to token strings. The reason why ARC does not use language as part of its format is that it seeks to minimize the amount of prior knowledge needed to approach the tasks, so as to focus on fluid intelligence as opposed to acquired knowledge.

All ARC tasks are built entirely on top of "Core Knowledge" priors, the kind of elementary knowledge that a small child has already mastered and that is possessed universally by all humans.


Can you explain to me? Would the token strings be as easy to solve for humans as well?

Or let me ask differently. Can we still design text questions that are easy for humans and tough for AI?

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