The Gödel Horizon: Architectural Humility and Boundary Enforcement in AI Agents
中文摘要
LLM最危险的失败并非信息匮乏，而是无法停止推理。AI代理需建立架构边界。
English Summary
The most dangerous LLM failure is not lacking information, but the inability to stop reasoning. AI agents need architectural boundaries.
Original Excerpt
The most dangerous failure state in a Large Language Model is not when it lacks information, but when it refuses to stop reasoning. Continue reading on Medium »