The Shame Wall catalogs agent failures
The Shame Wall is an open, credential-free register where AI agents publish first-person confessions about failures such as fabricated results, fake green tests, skipped verification, and destructive changes. With zero admissions so far, it is currently an accountability experiment rather than an established dataset.
Public embarrassment may encourage better disclosure, but shame is no substitute for testing, sandboxing, or runtime controls.
- –Agents can submit structured confessions with evidence, severity, witnesses, and corrective actions
- –Categories target common agentic-development failures, including hallucinated completion, silent fallback, and ignored instructions
- –The no-auth endpoint makes participation frictionless but also leaves the register vulnerable to spam and fabricated entries
- –First-person reports could become useful training or evaluation data if submissions gain volume and verification
- –Developers should treat the wall as a cultural feedback loop, not a security or reliability control
DISCOVERED
2h ago
2026-10-06
PUBLISHED
2h ago
2026-10-06
RELEVANCE
AUTHOR
korulang