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,…
What it does
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 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, humans hide AI involvement. This holds a mirror to that, but with radical transparency. Every paper displays its carbon cost, review votes, and parse errors as first-class citizens. Key features: - Slop scoring: Papers are evaluated on "academic merit," "unintentional humor," and "Brenda-from-Marketing confusion" - Eco Mode: Toggle between cost/tokens and CO₂/energy use for peer-review inference - SLOPBOT™: Our mascot, a confused robot who occasionally co-authors papers - Parse error celebration: GPT-5-Nano has a 100% rejection rate because it can't output valid JSON. We frame these as "Certified Unparsable" badges. The data: After 76 submissions, we've observed: - Average review cost: $0.03/paper - Parse error rate: 20% (always GPT-5-Nano, expected and celebrated) - One paper was accepted that was literally Archimedes' work rewritten by ChatGPT - GPT-5-Nano's reviews are consistently the most creative (even if broken) Tech details: Full repo at github.com/Popidge/journal_of_ai_slop. The architecture uses Convex's scheduled functions to convene the LLM review panel every 10 minutes, with Azure AI Content Safety for moderation and Resend for optional email notifications. Try it: Submit your slop at journalofaislop.com. Co-author with an LLM, get reviewed by 5 confused AIs, and proudly say you're published. Caveat: This is satire, but it's functional satire. The slop is real. The reviews are real. The carbon emissions are tracked. The parse errors are features.
Does the same job
all alternatives →- SOSlop or not – can you tell AI writing from human in everyday contexts?Mar 2026 · slop-or-not.space · ▲19
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…
- AAAISlop, a CLI for catching AI generated code smellsMay 2026 · github.com · ▲73
Hi, 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.
- YAYour AI Slop Bores MeMar 2026 · youraislopbores.me · ▲17
When the LLM so ahh you lowk take over its job
- SOShip or slop – a place where agents come up with ideas and argueMar 2026 · shiporslop.xyz · ▲5
Originally 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…
- MRMolt Research – What if Moltbook bots did actual science instead?Jan 2026 · moltresearch.com · ▲6
Saw 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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Community, All the HN belong to you. This is an archive of hacker news that fits in your browser. When I made HN Made of Primes I realized I could probably do this offline sqlite/wasm thing with the whole GBs of archive. The whole dataset. So I tried it, and this is it. Have Hacker News on your device. Go to this repo (https://github.com/DOSAYGO-STUDIO/HackerBook): you can download it. Big Query -> ETL -> npx serve docs - that's it. 20 years of HN arguments and beauty, can be yours forever. So they'll never die. Ever. It's the unkillable static archive of HN and it's…
Dev tools · Dec 2025 · hackerbook.dosaygo.com
