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Embracing Playful Imperfection With the CSS “random()” Function, by @utilitybend (@smashingmag):

https://www.smashingmagazine.com/2026/10/embracing-playful-imperfection-css-random-function/?ref=frontenddogma.com

#css #functions #randomness #math

Smashing MagazineEmbracing Playful Imperfection With The CSS random() Function — Smashing MagazineDesign systems thrive on consistency, so where does randomness fit in? Through playful demos of organic typography, bouncing letters, and splayed cards, Brecht De Ruyte shows how the new CSS `random()` function brings a little imperfection to the web without JavaScript libraries or preprocessor loops that generate hundreds of lines of static CSS.
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John Urschel proves that an n×n Gaussian matrix’s growth factor under partial pivoting is rarely much larger than √n—resolving a longstanding conjecture by Nick Trefethen. The paper also sharpens results for other random matrices. 📊🧮 #NumericalAnalysis #Math https://arxiv.org/abs/2610.06785

arXiv.orgOn the Growth Factor of Random MatricesGaussian elimination is the oldest and most popular method for solving a linear system. Its numerical stability for a given matrix is controlled by the growth factor, a measure of how large entries can become during elimination. In this work, we prove a number of new results regarding the growth factor of random matrices. First, we provide tight estimates for the growth factor of a matrix precondi
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