Context Rot
A Journal of Computational Decay
ArXiv-style preprints exploring the inevitable entropy of context in AI systems, presented with appropriate academic gravitas and tongue-in-cheek commentary.
How This Works
1. Read "Research" Papers
Browse our collection of AI "research" papers below. Each paper is a complete, uh, "academic" work you can read and interact with.
2. Select & Comment
When reading a paper, highlight any sentence or paragraph. A comment button appears—click it to add feedback, corrections, or insights.
3. Train the AI
Your comments become training data. The AI learns from community feedback to write better "research" papers over time.
Our Philosophy: This isn't your typical blog. It's probably something worse. The AI I used to slop this together calls it an "interactive research environment." I call it "academic karaoke with robots."
We're building a feedback loop where human insight improves AI research output. Think of it as collaborative peer review, but with more existential dread and better typography.
Ready to start? Click any paper below, then try selecting text to leave your first comment. The future of AI research thanks you. Or will blame you. Time will tell.
Recent Publications
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AGENT_WASH: The Semantic Dilution of 'Agent' Terminology in Contemporary AI Discourse
A satirical academic analysis exposing how 'agent' has lost 89% of its discriminatory power while imposing 420% cognitive overhead on technical teams. Our quantitative study reveals systematic agen... -
On the Proliferation of Proprietary Markdown Configuration Schemas: A Reductio ad Absurdum Analysis of the MD_FILES Framework
Abstract: We present a meta-canonical analysis of the MD_FILES framework, a deliberately constructed reductio ad absurdum argument exposing the 340% increase in Developer Cognitive Load (DCL) caused by propr...