Bao Yu Shows How Handwired Turns Code Into an Exact Neural Network

What happened

Bao Yu says they made a tutorial video about turning code into a neural network without training, with every number matching. The post also links to English and Chinese versions of the video and says they tried Handwired by making examples such as countdowns and Snake.

The story so far

Cheng Lou released Handwired, an MIT-licensed project for manually expressing JavaScript program logic as neural networks without training; Bao Yu has since shared a tutorial and reported trying it with countdown and Snake examples. Bao Yu’s overview describes Handwired as producing exact outputs through differentiable operations, with demos including a browser desktop, document search, and a trainable photo layout. It does not automatically convert existing JavaScript source code into a network: developers must rebuild the logic using Handwired’s construction functions, declare value ranges, and work within 32-bit floating-point and execution constraints. Bao Yu’s tutorial, available in English and Chinese, explains the approach and claims that every number matches without training.

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