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I tried "weight-space programming" on 6 kinds of models. Here's where it works and where it breaks.

A few days ago, MIT CSAIL researchers published Sparks of Weight-Space Programming : a frontier model that reads a neural network's weights and edits them directly, with no gradient descent, to change its behavior. That's a big claim. If it holds, models stop being black boxes you retrain and becom…

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  1. 2026-11-06 13:44 · DEV Community — Machine Learning
    I tried "weight-space programming" on 6 kinds of models. Here's where it works and where it breaks.

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