Most AI Agents Aren't Really Agents At All

The article challenges the perception that most AI systems are truly autonomous agents, instead labeling them as agentic workflows. It delves into the nuances of what makes a system genuinely agentive by examining qualities like persistent goals, self-regulation, and continuous learning. This distinction is crucial because it highlights the limitations of current AI and underscores the need for more advanced, truly intelligent systems. Understanding these differences can guide future developments in AI, ensuring we create systems that can truly act independently and adapt in complex environments.