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The author reflects on the paper 'Self-Revising Discovery Systems for Science' which proposes a new agentic architecture using strongly-typed DAGs, schema migrations via Kan extensions, and an MDL gate to distinguish genuine discovery from simple retrieval or search.
A weekly roundup of notable AI papers covering self-revising discovery systems from MIT, disentangling agent self-evolution, and Google's LEAP for formal mathematics using agentic scaffolds.