首页|ChatGPT知识信念、能力界限和哲学预见——基于方法结构分析和知识组织方法的思考

ChatGPT知识信念、能力界限和哲学预见——基于方法结构分析和知识组织方法的思考

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以大语言模型ChatGPT为例,从知识信念的角度阐述西方哲学激活颠覆式创新所发挥的力量,为"'哲学的贫困'是我国科技发展瓶颈问题的根源"命题和反驳"哲学无用论"提供确凿的证据.由于知识信念参与创新又不属于创新,在创新者身上的"过去的力量"难以被旁观者知觉,为此做以下论述:①在西方哲学语境中解析那些通常难以理解的知识信念及其历史生成逻辑;②指出由知识信念划定好的ChatGPT能力界限;③根据"从信念到现实"的时差,给出基于西方哲学成就的预见;④提出基于哲学经验与知识组织方法的"先知"方法论.同时阐述情报研究对象应超越"实在层面",打开"观念层面",得出情报工作需重拾并充实情报分析中的哲学方法.
Knowledge-Beliefs,Function Boundaries and Philosophical Prevision of ChatGPT:Reflections Based on Structural &Process Analysis of Multi-methods and Knowledge Organization Methods
Using the large language model ChatGPT as an example,this paper clarifies the power of truth that is unleashed by western philosophy's activation of disruptive innovation,from the perspective of knowledge-beliefs.This offers concrete evidence supporting the proposition that the"poverty of philosophy"is the fundamental bottleneck hindering China's technological development,thereby refuting the"uselessness of philosophy"argument.Because knowledge-beliefs are involved in innovation but are not part of innovation,"the power of the past"is difficult for observers to perceive,therefore,the process of discussing this is as follows:firstly,analyze the contents and the historical logic behind the generation of knowledge-beliefs,which are often difficult to understand;secondly,identify the function boundaries of ChatGPT that are demarcated by these knowledge-beliefs;third,provide the philosophical previsions based on the time lag between"belief and reality";thirdly,a"Foreknowledge"methodology is proposed based on philosophical experience and knowledge organization methods.Additionally,it is argued that research on intelligence should go beyond the"reality level"and explore the"ideal level".Furthermore,it is suggested that intelligence work needs to rediscover and enrich philosophical methods in intelligence analysis.

ChatGPTknowledge-beliefsintelligence analysisStructural & Process Analysis of Multi-methodsthe poverty of philosophyuselessness of philosophydisruptive innovation

李博闻

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南京理工大学经济管理学院,南京 210094

大语言模型ChatGPT 知识信念 情报分析 方法结构分析 哲学的贫困 哲学无用论 颠覆式创新

2024

竞争情报

竞争情报

CSTPCD
ISSN:
年,卷(期):2024.20(1)
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