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2 posts ai government
+3
Weight-Space Programming for the Social Safety Net
An independent test of the claim that AI models can write, read, and edit neural network weights directly, run against US benefit formulas where the correct answer is defined by law. Written weights were exact. Trained weights failed in ways average accuracy hides. And one step of the law cannot be represented at all.
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ai privacy
+2
Nine Versions of a Redaction Model
I trained my first model to redact PII and PHI on-device: an 11-million-parameter token classifier that fits in 11.3 MB. Nine versions of synthetic data, strict span scoring, and a failure ledger got it to 0.974 full-value recall on my golden set, with the misses still named in the post.
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