Handwired turns if-else and loops into weights, making codebases interpretable like neural nets
Kyrannio · x · 2026-10-17
Handwired bridges traditional code and neural networks in a novel way: it converts if-else statements and loops into weights, so a codebase can be probed with interpretability techniques.
An animated visualization shows the mechanism — cars and dogs share a pose early on, then a gate in front of the car detectors lets cars through and turns dogs away; in a larger model, a real sports car traced through the last five blocks first groups with rectangular shapes like tables and cabinets against snakes and dogs, before splitting into convertibles vs. station wagons. deepfates asks whether entire codebases could be turned into neural networks for verifiable interpretability.
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