Noise Lang, JIT stochastic programing language
Nine-year language where every variable is a probability distribution, not a value.

Left-to-right evaluation without precedence tables is a bold syntax choice for a DSL.
Programming language researchers and functional programming enthusiasts
Conal Elliot's FRP work · Auto-diff libraries · Observable notebooks
Since I am not Conal Elliot, don't expect a beautiful theoretical unification of FRP and AD from first principles. Rather, a horrific monster that holds together mostly because a lot of duct-tape.
The link points to the semi-interactive tour of the language, which will get the job done much better than I could in here.
Hope you hate/like it!
Nine-year language where every variable is a probability distribution, not a value.
AI-built language with runnable self-hosting sketches, but human+AI benefits remain unclear.
Spec-as-code is clever, but multi-target compilation claims need proof at v0.1.
Homoiconicity taken literally: programs are just maps with a trigger key.
Treats model calls as first-class runtime constructs using $..$ blocks with declared-type enforcement, which makes it unusually ergonomic to intermix deterministic code and LLM-powered operations. The Polars-backed dataframe injection that emits structured JSON summaries instead of raw table dumps is a clever, practical touch for token efficiency; neat sandbox for language designers, but explicitly a hobby/toy project rather than something to deploy.
Custom language with JIT and Go interop, but no clear advantage over existing options.