  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.
