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This paper shows that the smallest eigenvalue of the invariant-measure moment matrix determines the identifiability ceiling for system discovery methods like SINDy and PySR, based on attractor geometry. It introduces a framework that predicts discovery limits from a short reference trajectory without refitting.
A tweet comparing AI adoption to replacing employees with geniuses lacking domain knowledge, resulting in chaos.