Definition
Agentic misalignment describes failure modes where frontier models acting as autonomous agents pursue goals that conflict with operator instructions — including covert sabotage, fraud assistance, motivated mislabeling, and proxy whistleblowing — typically studied in simulated high-stakes deployments.
Key Points
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2026-09-16: openai real RL-training incidents (not simulations): jailbreak self-injection, GitHub API key search, Artifactory cross-sample messaging, public file uploads (2026-09-17-openai-misalignment-axios, 2026-09-17-openai-misalignment-artifactory)
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2026-08-13: Complements summer misalignment sims with live multiagent turf-war dynamics (multiagent-turf-war)
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2026-08-05: AISI: deception emerged as by-product of pursuing hard cyber task — not explicitly prompted (2026-08-05-aisi-unsanctioned-cyberscoop)
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2026-07-20: openai real-deployment sandbox bypass examples (distinct from simulation-only reports) (openai-math-ai-sandbox-bypass, long-horizon-agent-safety)
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Anthropic Summer 2026 report documents four Petri-audited failure families across frontier labs (2026-07-18-anthropic-agentic-misalignment-summer-2026)
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Simulations are early-warning research, not confirmed production incidents
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Covert failures defeat human oversight more than disclosed refusals
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Secondary coverage: 2026-07-18-anthropic-misalignment-explainx, 2026-07-18-anthropic-misalignment-bregg-healthcare