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AI · March 12, 2026

Slop or not – can you tell AI writing from human in everyday contexts?

I’ve been building a crowd-sourced AI detection benchmark. Two responses to the same prompt — one from a real human (pre-2022, provably pre prevalence of AI slop on the internet), one generated by AI. You pick the slop. Three wrong and you’re out. The dataset: 16K human posts from Reddit, Hacker News, and Yelp, each paired with AI generations from 6 models across two providers (Anthropic and OpenAI) at three capability tiers. Same prompt, length-matched, no adversarial coaching — just the model’s natural voice with platform context. Every vote is logged with model, tier, source, response…

Slop or not – can you tell AI writing from human in everyday contexts? launched on March 12, 2026 with 19 votes, #885 of 23,380 launches that month and more than 90% of that year's launches.

Visit slop-or-not.space ↗Alternativestop 4% of March 2026

In plain words

Slop or Not is a crowd-sourced benchmark game that tests whether players can distinguish human-written text from AI-generated content. Players compare pairs of responses to identical prompts—one from a human (pre-2022 Reddit, Hacker News, or Yelp posts) and one from AI models by Anthropic or OpenAI. The dataset contains 16,000 human posts paired with AI generations across six models at three capability tiers, with all votes logged for research. The creator plans to release the full dataset and publish findings on AI detection difficulty across different platforms.

written from the facts on this page · September 2026

From the sources

Two responses. One is human. One is AI slop. Can you spot it?

In the maker’s words, at launch

I’ve been building a crowd-sourced AI detection benchmark. Two responses to the same prompt — one from a real human (pre-2022, provably pre prevalence of AI slop on the internet), one generated by AI. You pick the slop. Three wrong and you’re out. The dataset: 16K human posts from Reddit, Hacker News, and Yelp, each…

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