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Records of the !mmortal Data Scientist · Jun 22, 2026

Your Network Is a List of Pictures. You Can Edit It.

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If a neuron is a labelled picture, a classifier is a list of them, and a list is something you edit. Add a class to a trained-free Yat-kernel network by placing twenty pictures, and it recognizes that class at 95% with zero gradient steps. Delete a class by removing its pictures, and it is forgotten exactly, the other classes untouched. Class-incremental learning with no penalty and machine…

If a neuron is a labelled picture, a classifier is a list of them, and a list is something you edit. Add a class to a trained-free Yat-kernel network by placing twenty pictures, and it recognizes that class at 95% with zero gradient steps. Delete a class by removing its pictures, and it is forgotten exactly, the other classes untouched. Class-incremental learning with no penalty and machine unlearning that is instant and exact, both falling out of the architecture rather than bolted on.

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