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Compiling algorithms into neural network weights is a research direction that has gradually taken shape in recent years, with common approaches including simulating registers and memory in latent space, using recurrent structures to carry program state, or transferring the input-output behavior of symbolic programs through distillation.
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10/30/2026
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