AI不应追求通用，而应专注超人类专精能力。
AI Must Embrace Specialization via Superhuman Adaptable Intelligence
- 提出超人类适应智能（SAI）新范式，聚焦专精而非通用。
- 主张在关键任务上超越人类表现，填补人类能力空白。
- 适合关注AI发展方向与伦理的政策制定者与研究者。
当前关于人工智能通用性（AGI）的讨论存在概念模糊问题。本文质疑以‘人类能做的所有事’为标准的AGI定义是否合理，指出人类本身并非真正通用。作者认为，未来AI不应追求通用性，而应走向专业化，并实现超人类水平的表现。为此提出“超人类适应智能”（SAI）：一种能够学习并在重要领域超越人类能力，同时补足人类无法胜任技能的智能系统。论文进一步探讨了以SAI替代AGI作为技术讨论框架的潜力，推动更清晰、务实的未来人工智能发展路径。
原文摘要 · Abstract (English)
Everyone from AI executives and researchers to doomsayers, politicians, and activists is talking about Artificial General Intelligence (AGI). Yet, they often don't seem to agree on its exact definition. One common definition of AGI is an AI that can do everything a human can do, but are humans truly general? In this paper, we address what's wrong with our conception of AGI, and why, even in its most coherent formulation, it is a flawed concept to describe the future of AI. We explore whether the most widely accepted definitions are plausible, useful, and truly general. We argue that AI must embrace specialization, rather than strive for generality, and in its specialization strive for superhuman performance, and introduce Superhuman Adaptable Intelligence (SAI). SAI is defined as intelligence that can learn to exceed humans at anything important that we can do, and that can fill in the skill gaps where humans are incapable. We then lay out how SAI can help hone a discussion around AI that was blurred by an overloaded definition of AGI, and extrapolate the implications of using it as a guide for the future.
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