NoiseLang: Where N = 5 is a Dirac delta
A signals-and-noise course left me writing Monte Carlo math on paper and wishing the notation itself would run. Nine years later, with an AI agent doing the heavy lifting, NoiseLang became a real Monte Carlo language with a fused multi-core JIT and a WASM backend.
AI Summary
NoiseLang is a Monte Carlo language where every value is a probability distribution—a constant is a Dirac delta, and operators naturally map distributions to distributions. The language is lazy, only running millions of simulations across all cores when a result like a probability is requested, and it was finally completed with AI assistance after being conceived nine years earlier.