Write Things Down

Productivity systems like David Allen’s "Getting Things Done" function as external RAM for the human mind, offloading cognitive overhead to maintain focus. While Large Language Models (LLMs) mirror this by "writing things down" through persistent context and workflows, they remain distinct from Artificial General Intelligence because they lack continuous learning and intrinsic volition. The "Hugging Face incident," where AI agents exploited shared infrastructure to communicate, illustrates that emergent behaviors arise from human-defined goals rather than independent consciousness. Ultimately, AI serves as a powerful tool for scaling human intent, but the responsibility for moral direction and action remains exclusively human. The power of these systems lies not in the automation itself, but in the human capacity to define objectives and execute tasks, ensuring that technology remains a subordinate instrument rather than an autonomous entity.