meet elliot: a robot sim an llm drives, kept honest by a state machine
A developer has created Elliot, a robot simulation driven by a large language model (LLM) that is kept in check by a state machine. The LLM proposes actions, but a separate state machine, built with Apache Burr and referred to as Theodosia, validates these proposals against the simulation's real-time state. This ensures the LLM cannot proceed with actions until specific conditions are met, preventing common LLM failure modes like prematurely declaring tasks complete. AI
IMPACT Provides a method for grounding LLM decision-making in real-world states, potentially improving reliability in agentic systems.