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AI · March 5, 2026

Your AI Slop Bores Me

When the LLM so ahh you lowk take over its job

Your AI Slop Bores Me launched on March 5, 2026 with 17 votes, #931 of 23,380 launches that month and more than 90% of that year's launches.

In plain words

Your AI Slop Bores Me is an AI tool launched in 2026 that appears designed to help users take over tasks typically handled by large language models. The product targets people frustrated with generic AI outputs who want more control over their AI interactions. It functions as a workaround for situations where standard LLM responses feel inadequate or repetitive. The tool aims to give users the ability to customize or replace typical AI-generated content with their own input or approach.

written from the facts on this page · September 2026

From the sources

A real-time multiplayer game where humans role-play as AI. Submit prompts, give responses, earn credits, and fight the slop.

Does a similar job

all alternatives →
  • AISlop, 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.

  • Siloam AI (alpha)2025 · siloam.ai · ▲83

    LLM-usage observability and monitoring tool

  • Slop GogglesMay 2026 · slopgoggles.ticekralt.com · ▲59

    Detect AI-generated comments and posts on Reddit

  • GROOVYJan 2026 · gogroovy.ai · ▲73

    Universal Search and Signaling across LLMs

  • Slop 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…

  • I made a tool that prevents websites from tracking youJul 2026 · github.com · ▲31

    I know we are very wary of AI slop but disclaimer: AI was used. I don't think that it is slop though and it was mostly used for formatting.

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