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How Far Are We From AGI

2024-05-16 17:59:02
Tao Feng, Chuanyang Jin, Jingyu Liu, Kunlun Zhu, Haoqin Tu, Zirui Cheng, Guanyu Lin, Jiaxuan You

Abstract

The evolution of artificial intelligence (AI) has profoundly impacted human society, driving significant advancements in multiple sectors. Yet, the escalating demands on AI have highlighted the limitations of AI's current offerings, catalyzing a movement towards Artificial General Intelligence (AGI). AGI, distinguished by its ability to execute diverse real-world tasks with efficiency and effectiveness comparable to human intelligence, reflects a paramount milestone in AI evolution. While existing works have summarized specific recent advancements of AI, they lack a comprehensive discussion of AGI's definitions, goals, and developmental trajectories. Different from existing survey papers, this paper delves into the pivotal questions of our proximity to AGI and the strategies necessary for its realization through extensive surveys, discussions, and original perspectives. We start by articulating the requisite capability frameworks for AGI, integrating the internal, interface, and system dimensions. As the realization of AGI requires more advanced capabilities and adherence to stringent constraints, we further discuss necessary AGI alignment technologies to harmonize these factors. Notably, we emphasize the importance of approaching AGI responsibly by first defining the key levels of AGI progression, followed by the evaluation framework that situates the status-quo, and finally giving our roadmap of how to reach the pinnacle of AGI. Moreover, to give tangible insights into the ubiquitous impact of the integration of AI, we outline existing challenges and potential pathways toward AGI in multiple domains. In sum, serving as a pioneering exploration into the current state and future trajectory of AGI, this paper aims to foster a collective comprehension and catalyze broader public discussions among researchers and practitioners on AGI.

Abstract (translated)

人工智能(AI)的演变对人类社会产生了深远的影响,推动了多个领域的显著进步。然而,对AI的不断增长的需求揭示了其现有提供的局限性,推动了人工智能通用智能(AGI)的发展。AGI,以其与人类智能相似的执行多样现实任务的高效和有效性而闻名,是AI进化的重要里程碑。虽然现有作品总结了AI的特定最近进展,但它们缺乏对AGI定义、目标和发展轨迹的全面讨论。与现有调查论文不同,本文深入探讨了我们接近AGI以及实现其所需策略的问题,通过广泛的调查、讨论和原创观点进行。我们首先阐述AGI所需的功能框架,包括内部、接口和系统维度。随着AGI的实现需要更高级别的能力和严格的约束,我们进一步讨论了必要的AGI对齐技术以解决这些因素。值得注意的是,我们强调了通过首先确定AGI发展的高级水平,然后确定现状,最后给出AGI达到顶峰的路线图,以负责任地接近AGI的重要性。此外,为了向公众提供对AI整合普遍影响的实际见解,我们在多个领域概述了现有挑战和通往AGI的可能途径。总之,作为对AI现状和未来趋势的开创性探索,本文旨在促进研究人员和实践者对AGI的集体理解和广泛讨论。

URL

https://arxiv.org/abs/2405.10313

PDF

https://arxiv.org/pdf/2405.10313.pdf


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