Developer questions scalability of human-in-the-loop AI systems

The author discusses the limitations of a "human-in-the-loop" system for AI agents, particularly when the human reviewer is a single individual. This approach, while seemingly responsible, incurs significant costs in terms of attention, latency, and an unscalable decision-making budget. The author argues that the real danger lies not in the human reviewer rejecting a decision, but in them rubber-stamping approvals due to an overwhelming backlog, leading to decisions being made without genuine human oversight. AI

IMPACT Highlights the practical challenges and scalability issues of integrating human oversight into AI agent workflows.

RANK_REASON The item is a personal reflection and design discussion about AI systems, not a release or significant industry event.

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