Show HN: Compile English specs into 22 MB neural functions that run locally

	▲	Show HN: Compile English specs into 22 MB neural functions that run locally
		10 points by yuntian 2 days ago
		We built ProgramAsWeights (PAW) — https://programasweights.com You describe a function in English — like "classify if this message is urgent" — and PAW compiles it into a tiny neural program (22 MB) that runs locally like a normal Python function. No API keys, no internet after compilation, deterministic output. It's for tasks that are easy to describe but hard to code with rules: urgency triage, JSON repair, log filtering, tool routing for agents. `pip install programasweights import programasweights as paw f = paw.compile_and_load("Classify if this is urgent or not.") f("Need your signature by EOD") # "urgent"` Compilation takes a few seconds on our server. After that, everything runs on your machine. Each program is a LoRA adapter + text instructions that adapt a fixed pretrained interpreter (Qwen3 0.6B). The model itself is unchanged — all task behavior comes from the compiled program. On our evaluation, this 0.6B interpreter with PAW reaches 73% accuracy. Prompting the same 0.6B directly gets 10%. Even prompting Qwen3 32B only gets 69%. Also runs in the browser (GPT-2 124M, WebAssembly): https://programasweights.com/browser You can also use it in your AI agents by copying the prompt here: https://programasweights.com/agents Source: https://github.com/programasweights Try it out: https://programasweights.com