用进化生物学新理论启发AI设计，突破当前局限
On the Parallels Between Evolutionary Theory and the State of AI
- 类比进化论中的发育生物学，重构AI系统设计思路
- 指出当前AI方法存在根本性瓶颈，难以实现长期目标
- 适合对AI底层原理和跨学科创新感兴趣的读者
本文批判性审视当代AI方法的基础原则，探讨阻碍其潜力发挥的局限。通过将现代AI格局与20世纪进化生物学的现代综合理论相类比，强调演化发育生物学等进展为人工智能提供了新的设计范式启示。结合人工智能与演化理论的最新成果，本文提出一条克服现有局限的路径，推动AI迈向其理想目标。
原文摘要 · Abstract (English)
This article critically examines the foundational principles of contemporary AI methods, exploring the limitations that hinder its potential. We draw parallels between the modern AI landscape and the 20th-century Modern Synthesis in evolutionary biology, and highlight how advancements in evolutionary theory that augmented the Modern Synthesis, particularly those of Evolutionary Developmental Biology, offer insights that can inform a new design paradigm for AI. By synthesizing findings across AI and evolutionary theory, we propose a pathway to overcome existing limitations, enabling AI to achieve its aspirational goals.
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