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arxiv:2407.08642

Towards Building Specialized Generalist AI with System 1 and System 2 Fusion

Published on Jul 11
· Submitted by iseesaw on Jul 12
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Abstract

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.

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LLMs exhibit flashes of AGI potential. Both DeepMind and OpenAI have outlined their visions for AGI, yet a critical question remains: What are the practical next steps for advancing LLMs towards AGI?

In this position paper, we argue that the current focus should be on developing Specialized Generalist AI (SGI). SGI denotes AI systems that not only excel in at least one specific task, outperforming human experts, but also possess broad capabilities that surpass those of an unskilled human in nearly any task.
Additionally, we outline three layers and four components essential for achieving SGI, framed within the context of System 1 and System 2 (Fast and Slow Thinking). We invite further discussion on this topic.

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