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The article discusses how persistent skills in AI agents, as implemented in SentientAGI's EvoSkill v2, can change future behavior by acting as executable state, necessitating versioning and testing similar to code to prevent failure modes.
FACET is a framework for synthesizing high-quality terminal tasks for AI agent training by preserving source intent and ensuring cross-artifact consistency, leading to improved performance on Terminal-Bench 2.1.