Towards Building Specialized Generalist AI with System 1 and System 2
  Fusion
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.
669096f159cbcc6d7ec79eae
Kaiyan Zhang
claimed_verified
2024-07-12T07:39:54.606Z
60bc94cd85a3ab33829b6211
/avatars/b57d36c7577fbbb42ea5b963eef4144a.svg
Kaiyan Zhang
user
iseesaw
669096f159cbcc6d7ec79eaf
Biqing Qi
admin_assigned
2024-07-12T12:41:40.625Z
645d9c3058f9ee315148116d
/avatars/165e18f27b5a50738bf1d22857118478.svg
Biqing Qi
user
jackqi7
669096f159cbcc6d7ec79eb0
Bowen Zhou
Towards Building Specialized Generalist AI with System 1 and System 2
  Fusion
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.
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.
Specialized Generalist Artificial Intelligence SGI Artificial General Intelligence AGI large language models Systems 1 and 2 cognitive processing