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Life & fun · July 3, 2026

How clanker are you? A reverse Turing test

You write 8 text completions and open models score how predictable each word was too them. Predictable => clanker. You can share results with your friends. The scoring checks every word you write against the model's logprobs. Right now I'm using Llama3.1, Deepseek v3 and Qwen3 to keep costs low. I tried to calibrate it so other models (chatgpt/claude) score 100% and interesting human responses score in the 10-30% range. Totally free, no signup

How clanker are you? A reverse Turing test launched on July 3, 2026 with 11 votes, #1,462 of 24,623 launches that month and more than 90% of that year's launches.

Visit howclankerareyou.com ↗Alternativestop 6% of July 2026

In plain words

How clanker are you?" is a reverse Turing test that measures how predictable your writing is. Users complete eight text prompts, and the tool scores each word against language models' probability distributions—lower scores indicate more original, surprising responses. It uses Llama3.1, Deepseek v3, and Qwen3 for scoring and aims to rate typical AI responses at 100% predictability while interesting human writing scores around 10-30%. Results can be shared with friends. The service requires no signup and is completely free.

written from the facts on this page · September 2026

From the sources

Take the clanker test: drop an X handle or reddit u/name, or finish five sentences and we grade how AI-like (clanker) the writing reads to the machines. A reverse Turing test — find out if you

Drop anyone's X handle or reddit u/name — we pull their recent posts and grade how clanker (AI-like) they write. Language models predict the next token; the more predictable the writing, the more clanker. ⚠ demo mode: inference isn't funded yet — scores come from a deterministic stand-in, not the real models. each scored word is graded by its surprisal under each model — −log p model (word), from the model's top-20 next-token probabilities given the text so far. mean surprisal in nats is how predictable the writing is; low = clanker. out-of-top-20 words are floored, scores are normalized against each model's self-baseline, and the overall is the nearest (least-surprised) model.…from howclankerareyou.com

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