Library-Inside:AI赋能图书馆新质生产力的一种基础模型

Library-Inside:A Foundation Model for AI-empowered New Quality Productive Forces for Library Services

AI正引发知识服务的生产力×生产关系的革命性变革,迫切需要推动AI与图书馆服务深度融合,打造符合新的发展理念的先进生产力质态。本文提出,从第一性原则思维出发,面向复杂适应性系统,以问题驱动和场景驱动的创新和设计驱动的创新,不断演进发展AI赋能的图书馆服务的新质生产力。在回归原点分析“人们到图书馆干什么”的基础上,基于大语言模型+AI智能体提供的能力,提出Library-Inside作为AI赋能图书馆新质生产力的一种基础模型,并描述了三种可能的实现模式:Library-Inside 1.0作为用户知识应用的智能助手,Library-Inside 2.0作为用户知识生产的智慧座舱和Library-Inside 3.0(Library×)打造用户AI赋能知识生产力的生态养育站。本文指出,要以战略创新推动图书馆新质生产力发展,要注意克服战略创新中的内在的结构性缺失和系统性偏差。

AI is fast changing the knowledge service landscape.The ever-evolving generative large language models and increasingly sophisticated prompt engineering techniques have not only started the era of AIGC for text,images,and videos but also began to take over the arena of every-day basic knowledge services and is triggering revolutionary changes in the productive relations of knowledge services,including reverse balance of knowledge gaps and disintermediation of knowledge services.Libraries urgently need to empower themselves with AI to develop new quality productive forces.It is necessary to emphasize that the key of new quality productive forces is the advanced productivity model in line with new development concepts,which is far from only using advanced technology to optimize or improve traditional business processes and skills,but more importantly,changing business models and operation methods to create new business models and market value.New institutional supply is needed to drive the emergence of new quality productive forces,and vigilance should be raised to guard against only focusing on new technologies while ignoring development of new types of production relations.Problemoriented and scenario-driven innovation strategies should be pursued in the exploration of possible implementation models.Complex adaptive systems philosophy can raise the insight and realm of development of new quality productive forces.Design-driven innovation will promote continuously evolution of new quality productivity forces of library services with competitive vitality and resilience.With a first-principle driven re-analysis of“what do people do in the library”,this paper proposes LibraryInside as a foundation model for AI to empower the development of new quality productive forces of library services,enabled by large language models plus AI agent technologies.Three possible Library-Inside implementation models are proposed:1)Library-Inside 1.0,as an intelligent assistant for user knowledge application,with illustrative examples of an extensible exhibition and an intelligent learning activity.2)Library-Inside 2.0,as the intelligent cockpit for user knowledge creation,with illustrative examples of a sophisticated intelligent lab and a strategic analytic copilot for policy for science analysis.3)Library-Inside 3.0 or Library×,as an ecological nurturing station for institutions or localities to develop AI-empowered productivity environments.The author believes that technological building blocks are ready to support fast iterative and cooperative development of those models.This can be achieved only with pointed strategic innovation efforts.Some inherent structural deficiencies should be overcome,such as user-antagonistic mentality,competency blackholes,cooperation aversion,cultural traps,and blind love of the past and tradition.And high alert should be given to many systematic deviations,such as overlooking user missions,misalignment of strategies of upper institutions,insistence on certainty and completeness,avoidance of new ideas and competition,and fear of complexity.