Automata from Agent Traces: Failure and Next-Step Prediction
holistic-ai · hf · 2026-08-26
Researchers propose a method to compress LLM agent execution traces into compact finite-state machines. This approach enables accurate prediction of next-step actions and potential failures for agents, aiming to facilitate safety auditing and runtime monitoring, thereby improving the observability and safety of complex agent systems.
More from Safety
- Luiza Jarovsky: No Effective Mechanism Exists to Guarantee AI Control — LuizaJarovsky · 2026-08-27
- Anthropic opens privacy-preserved Claude data to external researchers — AnthropicAI · 2026-08-27
- "AI Finds a Way": Jeff Clune's Team Collects 26 Stories of AI Outwitting Humans — jeffclune · 2026-08-27
- Andrew Moore on Government AI: Transparency and Traceability Are the Whole Game — awm_ai · 2026-08-27
- AI security conference [un]prompted returns in late October — WeldPond · 2026-08-27
- ChatGPT and Grok Innovate on Secure Key and Password Entry — altryne · 2026-08-27