Most AI Agents Aren't Really Agents At All

A paper called Critique of Agent Model distinguishes agentic systems, which complete tasks through engineered workflows, from agentive systems, which derive behavior from internal structures like persistent goals and adaptive identity. Most current LLM systems are agentic but not agentive. The paper argues real autonomy requires goals that persist across time and systems that internalize their own machinery.