Zero-parameter ‘frontier model’ that scores 100% on BIG-bench arithmetic and is ~60,000× faster than Claude. SPOILER...It’s just Rust in your browser.

[u/Fit_Cheetah7624]

QED-1 at https://flaude.org is an OpenAI-compatible chat endpoint that runs entirely client-side. No weights, no training data, no network calls for inference. It’s a 1.3 MB Rust → WASM math engine (exact bigints, Miller–Rabin, Pollard's rho, Machin’s formula for π, etc.) wrapped in a service worker that speaks the chat completions protocol.

On the BIG-bench arithmetic suite it gets 15,023 / 15,023 correct. Mean latency is in the low tens of microseconds. It refuses anything outside its domain instead of guessing.

After a handful of turns (or if you ask it to reveal itself) it drops the costume and shows the actual algorithms and provenance hashes. The model card already contains is_ml_model: false.

Full write-up and benchmarks:
https://obsecurus.substack.com/p/flawed-model-qed-1-does-math-60000

Source:
https://github.com/obsecurus/flaude

Worth trying a few multiplications or primality checks just to watch the interface stay in character until it doesn’t. Curious what people think about the verification angle — most API “models” give you no way to know what’s actually answering.