MaskLLM
public archive for AI hallucinations & reasoning failures
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MaskLLM - public archive for AI hallucinations & reasoning failures

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MaskLLM is a community-maintained archive of documented AI failure modes: hallucinations, reasoning collapses, sycophantic reversals, jailbreaks, and more. Submissions are structured for dataset export, interpretability research, and red-team review.

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Building with AI today feels a bit like flying without instruments. Models hallucinate. Agents fail silently. Benchmarks rarely reflect real-world behavior. That’s why we built MaskLLM — a community-driven platform to document, analyze, and understand how AI systems actually fail in the wild. Think: • AI hallucination reports • Failure case timelines • Prompt + output breakdowns • Interpretability-focused discussions • A growing public memory for AI reliability Our goal is simple: Make AI systems more understandable, trustworthy, and accountable — one failure report at a time. Would love your feedback, criticism, weird edge cases, and contributions ❤️ Launching today on Product Hunt 🚀