NEP89: Universal neuroevolution potential for inorganic and organic materials across 89 elements — mentioned by rsfern

Mon, 20 Jul 2026 11:34:40 GMT

I don’t think there’s a fundamental reason that performance has to be monotonic in model size or even training FLOPs. At least I don’t think it’s been proved to be so, so I think “misinformed” is a bit premature and sort of makes GP’s point. There’s evidence that model size and representational capacity are not exactly the same, and that scale is maybe more important for learning than it is for representation (past a point). Consider the early work from the current neural scaling paradigm. The Chinchilla scaling study shows that smaller models can match the performance of larger models by…

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NEP89: Universal neuroevolution potential for inorganic and organic materials across 89 elements · HackerPapers discussions

NEP89: Universal neuroevolution potential for inorganic and organic materials across 89 elements — mentioned by rsfern