Beyond Utility: When LLM Agents Start Dreaming Their Own Tasks
A task list is usually where enterprise automation becomes reassuringly boring. Someone defines the work. The system executes it. A dashboard turns green, or, in more honest organisations, amber with an explanation. The point is not mystery. The point is control. The paper behind this article, LLM Agents Beyond Utility: An Open-Ended Perspective, asks what happens when that tidy arrangement is disturbed: what if the agent does not merely complete tasks, but proposes them? What if it can remember what it has done, inspect its environment, write notes to itself, and continue across runs?1 ...