arXivDaily arXiv每日学术速递 周一至周五更新
​通知:联邦节假日调休:哥伦布日 / 原住民日(Columbus Day / Indigenous Peoples' Day),今日(13日)无更新。
arXiv 2506.21606cs.CLcs.AIcs.CY

大型语言模型作为文化动态的符号DNA

Large Language Models as symbolic DNA of cultural dynamics

Human Energy(人类能源);San Francisco VA Medical Center(旧金山退伍军人医疗中心);University of California, San Francisco(加州大学旧金山分校);University of California, Berkeley(加州大学伯克利分校)

Parham Pourdavood, Michael Jacob, Terrence Deacon

AI总结:

本文将大型语言模型概念化为人类文化动态的符号DNA,通过分析压缩、解压缩、外化和递归四个特征,论证其作为外化信息基底保存文化规律并通过人类重新解释催化创造过程,从而定位其为促进文化可进化性和自我反思的工具。

摘要:

本文提出了一种将大型语言模型(LLMs)概念化的新视角,将其视为外化的信息基底,其功能类似于人类文化动态的DNA。我们不将LLMs视为自主智能或单纯的程序化模仿,而是认为它们扮演着更广泛的角色,即作为保存人类符号表达压缩模式的存储库——这些模式是意义动态的“化石”,在脱离原始生活语境的情况下保留了关系残留。关键的是,这些压缩模式只有通过人类的重新解释才变得有意义,从而创造出一个递归反馈循环,在其中它们可以被重新组合并循环回流,最终催化人类的创造过程。通过对四个普遍特征——压缩、解压缩、外化和递归——的分析,我们证明,正如DNA作为一种压缩和外化的媒介出现,用于保存有用的细胞动态而不包含对目标导向的物理过程的明确参考,LLMs保存了人类文化的有用规律性,而不包含对具身人类经验的理解。因此,我们认为LLMs的意义不在于与人类智能相媲美,而在于为人类提供一个在低风险、模拟环境中进行自我反思和趣味性假设生成的工具。这一框架将LLMs定位为文化可进化性的工具,使人类能够生成关于自身的新颖假设,同时保持必要的人类解释,以将这些假设植根于持续的人类美学和规范之中。

英文摘要:

This paper proposes a novel conceptualization of Large Language Models (LLMs) as externalized informational substrates that function analogously to DNA for human cultural dynamics. Rather than viewing LLMs as either autonomous intelligence or mere programmed mimicry, we argue they serve a broader role as repositories that preserve compressed patterns of human symbolic expression--"fossils" of meaningful dynamics that retain relational residues without their original living contexts. Crucially, these compressed patterns only become meaningful through human reinterpretation, creating a recursive feedback loop where they can be recombined and cycle back to ultimately catalyze human creative processes. Through analysis of four universal features--compression, decompression, externalization, and recursion--we demonstrate that just as DNA emerged as a compressed and externalized medium for preserving useful cellular dynamics without containing explicit reference to goal-directed physical processes, LLMs preserve useful regularities of human culture without containing understanding of embodied human experience. Therefore, we argue that LLMs' significance lies not in rivaling human intelligence, but in providing humanity a tool for self-reflection and playful hypothesis-generation in a low-stakes, simulated environment. This framework positions LLMs as tools for cultural evolvability, enabling humanity to generate novel hypotheses about itself while maintaining the human interpretation necessary to ground these hypotheses in ongoing human aesthetics and norms.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑