title: Towards Building Specialized Generalist AI with System 1 and System 2
    Fusion
summary: In this perspective paper, we introduce the concept of Specialized Generalist
  Artificial Intelligence (SGAI or simply SGI) as a crucial milestone toward
  Artificial General Intelligence (AGI). Compared to directly scaling general
  abilities, SGI is defined as AI that specializes in at least one task,
  surpassing human experts, while also retaining general abilities. This fusion
  path enables SGI to rapidly achieve high-value areas. We categorize SGI into
  three stages based on the level of mastery over professional skills and
  generality performance. Additionally, we discuss the necessity of SGI in
  addressing issues associated with large language models, such as their
  insufficient generality, specialized capabilities, uncertainty in innovation,
  and practical applications. Furthermore, we propose a conceptual framework for
  developing SGI that integrates the strengths of Systems 1 and 2 cognitive
  processing. This framework comprises three layers and four key components,
  which focus on enhancing individual abilities and facilitating collaborative
  evolution. We conclude by summarizing the potential challenges and suggesting
  future directions. We hope that the proposed SGI will provide insights into
  further research and applications towards achieving AGI.
paper_authors._id: 669096f159cbcc6d7ec79eae
paper_authors.name: Kaiyan Zhang
paper_authors.status: claimed_verified
paper_authors.statusLastChangedAt: 2024-07-12T07:39:54.606Z
paper_authors._id: 60bc94cd85a3ab33829b6211
paper_authors.avatarUrl: /avatars/b57d36c7577fbbb42ea5b963eef4144a.svg
paper_authors.fullname: Kaiyan Zhang
paper_authors.type: user
paper_authors.user: iseesaw
paper_authors._id: 669096f159cbcc6d7ec79eaf
paper_authors.name: Biqing Qi
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2024-07-12T12:41:40.625Z
paper_authors._id: 645d9c3058f9ee315148116d
paper_authors.avatarUrl: /avatars/165e18f27b5a50738bf1d22857118478.svg
paper_authors.fullname: Biqing Qi
paper_authors.type: user
paper_authors.user: jackqi7
paper_authors._id: 669096f159cbcc6d7ec79eb0
paper_authors.name: Bowen Zhou
paper_title: Towards Building Specialized Generalist AI with System 1 and System 2
    Fusion
paper_summary: In this perspective paper, we introduce the concept of Specialized Generalist
  Artificial Intelligence (SGAI or simply SGI) as a crucial milestone toward
  Artificial General Intelligence (AGI). Compared to directly scaling general
  abilities, SGI is defined as AI that specializes in at least one task,
  surpassing human experts, while also retaining general abilities. This fusion
  path enables SGI to rapidly achieve high-value areas. We categorize SGI into
  three stages based on the level of mastery over professional skills and
  generality performance. Additionally, we discuss the necessity of SGI in
  addressing issues associated with large language models, such as their
  insufficient generality, specialized capabilities, uncertainty in innovation,
  and practical applications. Furthermore, we propose a conceptual framework for
  developing SGI that integrates the strengths of Systems 1 and 2 cognitive
  processing. This framework comprises three layers and four key components,
  which focus on enhancing individual abilities and facilitating collaborative
  evolution. We conclude by summarizing the potential challenges and suggesting
  future directions. We hope that the proposed SGI will provide insights into
  further research and applications towards achieving AGI.
paper_ai_summary: Specialized Generalist Artificial Intelligence (SGAI) represents a milestone toward AGI by balancing specialized and general abilities, addressing issues in large language models and proposing a framework for integration of cognitive processes.
paper_ai_keywords: Specialized Generalist Artificial Intelligence SGI Artificial General Intelligence AGI large language models Systems 1 and 2 cognitive processing