When AI Agents Do the Work, What Do We Lose?

This post extends the discussion on AI agents by introducing a four-level autonomy ladder (L1-L4) to frame their development and impact. It specifically elaborates on L2 agents' memory capabilities and the role of systems like Milvus in enabling this by providing a searchable retrieval layer for agent memory. The post also emphasizes the critical need for L4 agents that focus on improving human judgment, arguing that without this, the standards agents operate under will stagnate. It frames the evolution of AI agents not just as task execution but as a loop where human judgment defines standards, agents execute, and feedback improves human learning, which in turn refines the standards.