I think solving hard problems is one way to improve. But each iteration takes a long time. Maybe another way is to practice easy problems until they become radically easy, and then apply the techniques to harder problems.
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So maybe we can apply this idea to machine learning research.
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For example, natural language modeling where context is limited to two bytes.
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