miniblog.

One interesting consequence of the rise of LLMs: there's more demand for tools that handle untrusted input. Arbitrary HTML+JS can be safely run in a browser. Lean can check an arbitrary proof. These work really well with an LLM that can be wrong, but sometimes gives exactly what you want. Are there other tools in this family?

Is there any relationship between language adoption and the size of its standard library? These days it seems completely orthogonal, but early Java adopters spoke highly of the collections library compared with C++. Maybe it's the widespread availability of package managers?

I've released difftastic 0.65! Highlights of this release: * Better parsing of Clojure, Common Lisp, Kotlin, Rust and Zig. * Quality of life improvements for binary files. https://github.com/Wilfred/difftastic/releases/tag/0.65.0