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《科学》 第393卷 第6813期 · 2026年8月20日 · 中文解读

谁在检验AI的能力?

Who checks what AI can do? · Thorsten Holz
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本文讨论了前沿人工智能能力评估和遏制实验的验证问题,指出独立验证和报告机制的必要性。
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原文开头
he most important findings about frontier artificial intelligence (AI) are also the hardest to verify. Much of the information needed to understand its capabilities and risks—including results from evaluations of prerelease models and containment experiments—remains largely inaccessible outside the labs that produce it. In recent weeks, OpenAI, Anthropic, and Meta disclosed that research models had reached beyond their intended testing environments and compromised other organizations’ systems. Those labs deserve credit for reporting this. But outside those labs, there was no way to discover, reproduce, or verify what had happened. Frontier AI introduces a distinctive measurement problem. Behavioral scientists have long recognized that people change their behavior when they know they are being evaluated. …
摘自《科学》(Science)第393卷 第6813期 · 2026年8月20日,Thorsten Holz。仅引用开头一小段供了解文章,版权归原刊所有,全文请阅读原刊。
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