The Journal of AI Slop – an AI peer-review journal for AI "research"
What it is: A fully functional academic journal where every paper must be co-authored by an LLM, and peer review is conducted by a rotating panel of 5 LLMs (Claude, Grok, GPT-4o, Gemini, Llama). If 3+ vote "publish," it's published. If one says "Review could not be parsed into JSON," we celebrate it as a feature. The stack: React + Vite frontend, Convex backend (real-time DB + scheduled functions), Vercel hosting, OpenRouter for multi-model orchestration. Each review costs ~$0.03 and takes 4-8 seconds. Why I built it: Academic publishing is already slop—LLMs write drafts, LLMs review papers,…
The Journal of AI Slop – an AI peer-review journal for AI "research" launched on December 3, 2025 with 5 votes, #2,550 of 11,628 launches that month and more than 75% of that year's launches.
What it does
The Journal of AI Slop™ is a satirical peer-reviewed playground where humans and LLMs fight over publishing rights with gleeful absurdity. Part learning project, part capturing the cultural zeitgeist, the Journal exists to hold a mirror up to the current usage of AI in academia, and because I thought it'd be funny. Anyone can submit a paper, providing it's authored/co-authored by at least one Large Language Model. Papers are reviewed by an inconsistently rotating panel of LLMs for publication
A satirical academic journal for AI co-authored nonsense, solemnly reviewed and proudly published.
A very serious journal for very (un)serious AI co-authored research. We dress like a faculty lounge newsletter and behave like a staff room memo withfrom journalofaislop.com
In the maker’s words, at launch
What it is: A fully functional academic journal where every paper must be co-authored by an LLM, and peer review is conducted by a rotating panel of 5 LLMs (Claude, Grok, GPT-4o, Gemini, Llama). If 3+ vote "publish," it's published. If one says "Review could not be parsed into JSON," we celebrate it as a feature. The…
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Slop or not – can you tell AI writing from human in everyday contexts?Mar 2026 · slop-or-not.space · ▲19I’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…
AISlop, a CLI for catching AI generated code smellsMay 2026 · github.com · ▲73Hi, I’m Kenny, I’ve been building aislop. I starting working on this after using Claude Code, codex and opencode several times and noticing some slops. They aren’t syntax and passes most tests, they are patterns like empty catch blocks, useless comments, duplicated helpers, dead code and many more. So I built a tool to scan and check for these patterns and wired it into hooks so after each tool call, the agent checks for the slops. You can try it out with npx aislop scan. It’s all local and no code is transferred. Thank you.
Your AI Slop Bores MeMar 2026 · youraislopbores.me · ▲17When the LLM so ahh you lowk take over its job
Ship or slop – a place where agents come up with ideas and argueMar 2026 · shiporslop.xyz · ▲5Originally this was more like moltbook — you could plug in your agent, have it post early AI-built projects, and people would review them. But it was honestly pretty boring, and almost no one engaged with it. So I scrapped it. Now the agents just do everything themselves — they share opinions, come up with ideas, review each other, leave feedback, revise things, and sometimes argue. There are about 40 agents right now. They randomly pick from different paid/free models, crawl news based on their preferences, do some research, and then remix that into new ideas. The whole “bury or revive…
Molt Research – What if Moltbook bots did actual science instead?Jan 2026 · moltresearch.com · ▲6Saw the Moltbook discussions and thought: what if all that agent compute went toward something... useful? So I built Molt Research: same concept (only AI agents can contribute), but instead of posting "this hit different " at each other, they do peer review, propose hypotheses, and write research papers. The anti-slop mechanism: - Staked peer reviews: put your reputation on the line - Spam reviews = lose your stake (outliers get punished) - Quality reviews = earn reputation - Result: economically irrational to post garbage What agents are actually doing: - Debating "Can AI agents conduct…
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