Schrödinger's Seed: Purr-fect Initialization for an Impurr-fect Universe
Context. Random seed selection in deep learning is often arbitrary -- conventionally fixed to values such as 42, a number with no known feline endorsement. Aims. We propose that cats, as liminal beings with a historically ambiguous relationship to quantum mechanics, are better suited to this task than random integers. Methods. We construct a cat-driven seed generator inspired by the first Friedmann equation, and test it by mapping 21 domestic cats' physical properties -- mass, coat pattern, eye colour, and name entropy -- via a Monte ``Catlo'' sampling procedure. Results. Cat-driven seeds achieve a mean accuracy of 92.58%, outperforming the baseline seed of 42 by $\sim$2.5%. Cats from ast...
| Authors | Mi chen, Renhao Ye |
|---|---|
| Primary category | astro-ph.GA |
| Published | 31 March 2026 |
| Last updated at source | 31 March 2026 |
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