The 'horns' here are the two predictions for AI: doom or utopia. The future is (of course) somewhere in the middle, and this is where we should direct our learning strategies in the age of AI. There is a current danger of 'cognitive offloading', argues Tim Moon, but this is an unsurprising result of a system that was already biased in favour of output over process. "The role was waiting: produce the paper, complete the worksheet, answer the question, produce the artifact." Learning, though, he writes, is produced by friction, by the resistance one feels when struggling to recall, to create, to make distinctions, or to decide. That should inform how we direct AI. Remove the pointless friction, like formatting references correctly, and focus on the productive friction, where people are genuinely learning. But learning what? This is where the article leaves me wanting. Instead of looking more deeply into the problem, it begins to cycle the same points - like an AI would. Disappointing.
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