Double-double: 31 digits of precision without leaving the FPU

I have a Go library implementing double-double arithmetic (and also exponentials, logarithms, trigonometry...): https://github.com/ncruces/dbldbl

Mostly useless, but was quite fun to write.

If you need that precision, especially for position and not values, why use floats at all?

AI has rediscovered https://www.davidhbailey.com/dhbsoftware/ and similar? Or are there algorithmic improvements? Without referencing established double-double work it's hard to know.

Fun fact - Google Maps does something similar to this in WebGL in order to keep accurate coordinates across a planet-sized map using only 32-bit floats.

Could be a neat post, but it was too obviously LLM-generated for me to care about reading it deeply. I’m really fine with people using LLMs to write code and understand stuff, but at least drop a disclaimer when you’re blogging straight Claude text.

Could call it... 'a Hamburglar'

Reads like AI slop. It circles around the point, uses C# examples while talking about FPU, duplicates examples and so on.