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> So why can't we learn the smaller one directly?

The lottery hypothesis intuitively makes sense, but as an outsider I find this concept for evaluating learning methods really interesting - To hand craft a tiny optimal networks for simple yet computationally irreducible problems like GoL as a way to benchmark learning algorithms. Or is it more than that? for a sufficiently small network maybe there aren't that many combinations of "correct solutions", so perhaps the way the network emerges internally could really be interrogated by comparison.



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