I’m not sure what point you’re trying to make, exactly, but a use case for better non-CS generators has always been stochastic simulation, especially simulation/sampling approaches that are bound by the number and quality of uniform variates per second.
As someone who has spent considerable time working in these areas, I still appreciate advances.
I'm really curious... How did you manage to post this link before I did?
Ah yes, Xorshift, the RANDU [1] of the 21st century [2].
There is no real use case for better non-CS generators, as explained by adrian_b back in 2021 [3].
[1] https://en.wikipedia.org/wiki/RANDU [2] https://arxiv.org/abs/1908.10020 [3] https://news.ycombinator.com/item?id=28886698
I’m not sure what point you’re trying to make, exactly, but a use case for better non-CS generators has always been stochastic simulation, especially simulation/sampling approaches that are bound by the number and quality of uniform variates per second.
As someone who has spent considerable time working in these areas, I still appreciate advances.
I’ve replaced Lua’s random by this. I’ve posted about it here https://nullonerror.org/2025/08/02/replacing-lua-s-math-rand...