大模型时代:知识的生成式“涌现”

The Era of Big Models:Generative“Emergence”of Knowledge

随着计算能力的提高和数据的爆炸性增长,生成式大模型逐渐成为知识生产的核心力量,并深刻改变了人类知识的生产方式。本文系统探讨了从古典学术到现代信息科技的知识生产历程,将传统知识生产方式归纳为个体的知识涌现。与之相对应的大模型时代,知识生产方式则可称为生成式的知识涌现,从而造就了新的知识高原。大模型时代生成式知识涌现的机理,表现为知识结构和生成逻辑两方面的转变。虽然生成式大模型在文本生成、数据分析等领域设立了一种难以超越的“基线”,但人类在创造、批判思考和情感判断上的独特能力仍然不可或缺。结合人机协同的哲学和技术探索,本文为未来知识生产的新时代提供了一个全面而深入的视角,并在此基础上勾画人机协同共创知识高峰的路径。

With the improvement of computing power and the explosive growth of data,generative large models have gradually become the core force of knowledge production,and have profoundly changed the way of human knowledge production.This paper systematically explores the history of knowledge production from classical academia to modern information technology,and summarizes traditional knowledge production as individual knowledge emergence.The corresponding mode of knowledge production in the era of big models can be called generative knowledge emergence,thus creating a new knowledge plateau.The mechanism of generative knowledge emergence in the era of big models is manifested in the transformation of both knowledge structure and generative logic.While generative big models set a“baseline”in areas such as text generation and data analysis that is difficult to surpass,the unique human capacity for creativity,critical thinking,and emotional judgment remains indispensable.Combining the philosophical and technological explorations of human-computer collaboration,this paper provides a comprehensive and in-depth perspective for the new era of future knowledge production,and outlines the path of human-computer collaboration in creating the peak of knowledge on this basis.