Alternatives
Products that do what The Journal of AI Slop does
AI Slop "Research" papers, peer-reviewed by LLM
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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,…
Dec 2025 · journalofaislop.com
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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…
Mar 2026 · slop-or-not.space
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After waiting 8 months for a journal response or two months for co-author feedback that consisted of "looks good" and a single comma change, we built an AI-powered peer review system that helps researchers improve their manuscripts rapidly before submission. The system uses multiple specialized agents to analyze different aspects of scientific papers, from methodology to writing quality. Key features: 24 specialized agents analyzing sections, scientific rigor, and writing quality // Detailed feedback with actionable recommendations. // PDF report generation. //…
2025 · github.com
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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.
May 2026 · github.com
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Hey Hacker News! I'm Alex, I'm 19 and I work at Hack Club! The last two weeks i've been messing around with pdfs. I made slop pdf (https://slop.alexvd.dev -- notice the similar website design), a pdf that generates random ai slop stories when you open it, and I was showing that off to one of my friends who suggested I get the LLM to actually work inside the pdf, without an API call to a relay. I laughed at the idea, but then we did some research together, and we managed to find EvanZhouDev's llm.pdf (https://github.com/EvanZhouDev/llm.pdf). Because it existed, I…
25d ago · diffusion.alexvd.dev
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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…
Jan 2026 · moltresearch.com
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I feel like LLMs can help me understand anything. However, after I get a summary, I can't dive in to parts that I find interesting; can't refer to original source easily and can't control context with chatbots. This is an attempt to solve for a complete knowledge consumption experience with AI . Please give me feedback!
Oct 2025 · kerns.ai
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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…
Mar 2026 · shiporslop.xyz
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Ok, so maybe "how to revive the internet" would be more accurate, but if you're reading this, I got your attention, right? Here's why I want you to read on: I built a free extension, D-slop, to disincentivize anyone from posting AI writing, and eventually images and video as well, on the internet. For writing, it checks known vocab and punctuation tells, as well as subtler tells related to cadence, and assigns it a score subject to an adjustable threshold. If the text fails, users have the option to flag offending text, hide it, or block the page entirely (with the option to see anyway). For…
May 2026 · chromewebstore.google.com
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