AnalysisAI ModelsNovember 7, 2026

Paper probes Weight-Space Programming's reasoning gains and limits

Read original source →arxiv.org

Weight-Space Programming lets reasoning agents inspect and edit neural network parameters directly instead of using gradient-based adaptation, improving reasoning via small localized edits. The study finds editing reliability and cross-task generalization remain uneven across held-out evaluations.

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