AI Autonomy

TL;DR for operators AI autonomy and AI initiative are different design decisions. An AI system can execute work independently while waiting for instructions, or proactively offer help while remaining limited to a narrow task. Michael Weiss identifies four collaboration patterns: Instruction, Delegation, Assistance, and Co-Creation. Each suits a different kind of work, and each introduces a recurring tension. Delegation can increase capacity while reducing oversight; Assistance can improve individual components while weakening their fit with the whole task. ...

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 ...