miniblog.

Using machine learning to decide what structure to use for your neural net: https://arxiv.org/pdf/1703.01041.pdf It's pretty meta, but ML is often good at trading computation for results.

Generalised computation is becoming less common: it's much easier to run or debug arbitrary code on a Linux/BSD machine than anything else. It's even worse on mobile though: simply *writing* is hard and creation is hindered further.

Fun article on refactoring J to be point free, and drawing trees to model its computation: