Neural nets are just repeated low-order polynomial fits
cephaloform · x · 2026-08-22
Discussion highlights that training neural networks is fundamentally simple, derivable from middle school algebra. While high-order polynomial fits could theoretically achieve similar results, they are computationally expensive. Neural networks instead repeat low-order operations to implicitly model high-order interactions.
Related event: Neural Networks Are Just High-School Algebra, Making AI Bans Impractical(3 posts)→
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