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Karpathy's solution is radical but compelling: shift grading back into the classroom where teachers can physically monitor students. In other words, . "The students remain motivated to learn how to solve problems without AI because they know they will be evaluated without it in class later," Karpathy explained. He drew an analogy to calculators: schools teach basic math so students can understand what calculators do, verify their results, and notice when something goes wrong. The same principle applies to AI.

But what exactly is driving this trend, and how is ML actually being used to "trash" traditional homework? The Philosophy Behind the Movement homeworkistrash ml

This allows users to upload photos of their assignments, which the ML model then digitizes for processing. Karpathy's solution is radical but compelling: shift grading