The "model weights are unreadable" excuse just died in one paper.

Neural networks have billions of parameters.

Nobody really knows what each one does.

A new paper introduces adVersarial Parameter Decomposition.

The method splits a model's weights into small,… pic.twitter.com/izUeHRCQ5f

— AlphaSignal AI (@AlphaSignalAI) 18 mai 2026

The "model weights are unreadable" excuse just died in one paper. Neural networks have billions of parameters. Nobody really knows what each one does. A new paper introduces adVersarial Parameter Decomposition. The method splits a model's weights into small,

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