SOURCE-LINKED INTELLIGENCE
Artificial Id: Drive and Persistent Alignment in Agentic AI
Agentic AI is moving from bounded task execution toward systems that retain consequential state, continue operating and adapt across task boundaries. That shift creates a control problem that current harnesses largely solve by hand: objectives, retries, verification, stopping rules and other behavioral transitions are specified externally. We propose an artificial id, an adaptive internal drive for determining whether behavior should continue, stop or change. In a minimal virtual Petri-dish experiment, a controller too small to perform general-purpose reasoning and receiving no task-specific b
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-10T17:56:41.000Z
First collected: 2026-09-20T18:42:18.733Z. This is not the publication date.