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When AI Drives, Who’s in Control? — Reclaiming Determinism in Agentic Systems

A car does not care whether an AI answer is impressive. It cares whether the answer arrives before the intersection. That small timing problem is where a large part of today’s agentic AI discussion becomes unserious. We keep asking whether models are smart enough to act. In cyber-physical systems, the more painful question is whether the system around the model can make action repeatable, bounded, and recoverable when the model is late, vague, or simply wrong. ...

April 14, 2026 · 17 min · Zelina
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When Drones Think Too Much: Defining Cognition Envelopes for Bounded AI Reasoning

A drone finds a clue. Not a dramatic clue, necessarily. A backpack near a trailhead. A red hat in water. A pair of goggles on rock. The kind of object a human search-and-rescue team would treat as operational evidence, not as a philosophical invitation. But once a vision-language model captions the image, a language model assesses its relevance, and another model proposes a search action, the system has quietly crossed an important line. ...

November 5, 2025 · 17 min · Zelina