AI Failure Intelligence
10,000+ real-world AI failure cases, scored & analyzed
AI Failure Intelligence launched on May 27, 2026 with 2 votes, #6,288 of 20,538 launches that month.
What it does
AI Failure Intelligence is a structured dataset of 10,000+ real-world AI failure cases — severity scored, root cause analyzed, Built for AI researchers, red-teamers, safety teams, and LLM developers who need real failure data to build safer systems. Each case includes: → Severity & Priority scoring → Root Cause analysis → Failure Type classification (14 categories) → Recommendations & Key Patterns Available as PRO subscription or one-time Starter dataset. Also on Kaggle, HuggingFace, and Zenodo.
5,500+ structured AI failure cases — severity scored, root cause analyzed, and updated daily. Built for researchers, red-teamers, and enterprise security teams.
Does a similar job
all alternatives →
Obviously AI Data Validator2022 · validator.obviously.ai · ▲180Is your data ready for AI, find out now
- UMUsing machine learning to recommend dashboards during incidents2017 · beta.overseerlabs.io · ▲52
Subtle Failure Modes I Keep Seeing in Production‑Grade AI Systems2025 · github.com · ▲6Hi HN, Over the past two years I’ve built and debugged a fair number of production pipelines—mainly retrieval‑augmented generation stacks, agent frameworks, and multi‑step reasoning services. A pattern emerged: most incidents weren’t outright crashes, but silent structural faults that slowly compromised relevance, accuracy, or stability. I began logging every recurring fault in a shared notebook. Colleagues started using the list for post‑mortems, so I turned it into a small public reference: 16 distinct failure modes (semantic drift after chunking, embedding/meaning mismatches,…
- FailSpot-Win $100 weekly for AI FailuresOct 2025 · failspot.com · ▲6
Find AI mistakes. Win $100 every week.

More ai this month
the category →



Paintings by AI models: programs run through a simulation of oil paint.
AI · 21d ago · stillwet.art
PixVerse R2▲381A real-time world model you can explore and change
AI · 30d ago · world.pixverse.video

Source: Product Hunt launch ↗
Launched alongside, May 2026
the whole month →

Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai



Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com

🌱 Private, quiet space for thinking. Simple app for .md files. - zakirullin/files.md
Dev tools · May 2026 · github.com