NoiseLang: A Language Where Every Value Is a Probability Distribution

NoiseLang: Where N = 5 is a Dirac delta

After nine years of dormancy, I revived NoiseLang using AI tools to build a language where every value is a probability distribution. Instead of writing complex simulation loops, you write mathematical expressions that automatically trigger millions of Monte Carlo simulations. This approach lets you calculate probabilities and expected values directly, turning abstract statistical concepts into executable code with high-performance backends like Cranelift and WASM.

"AI is great at building the JIT parts, the runtime parts, the numerical parts, but it sucks at coming up with good language design ideas."