Introduction: Defining theNew Frontier of Artificial General Intelligence (AGI)
As we delve into the speculative landscape of artificial intelligence, the term "artificial general intelligence" (AGI) has sparked a competitive mix of fascination and confusion. AGI is often seen as a cardinal goal in AI, symbolizing the highest level of intelligent AI, akin to the mythical form of infinity-bearing chess pieces. However, the discussions surrounding AGI are not uniready. Sam Altman, a prominent AI researcher, has outlined definitions that increasingly challenge the notion of AGI as a specific, narrow AI capability.
Altman’s blog suggests that AGI should be defined as a system capable of tackling increasingly complex problems at the human level across various fields, rather than confined to narrow expertise. This view, while broad, shifts the goal of AGI research from a highly specific endeavor to something less precise and more ambitious. The progression to a more general definition aligns with the recognition that AGI is not just about narrow AI but about a comprehensive, versatile intelligence.
The ambiguity in defining AGI also necessitates distinguishing between AGI and AI/AI/ASI. AI categories are not as distinctly categorized as AGI, which has now found its way as ASI, the "all-powerful" next step beyond AGI. This distinction underscores the need for a more flexible and future-oriented approach in AI research, aligning the pursuit with the strategic goals of the future.
As the AI community navigates the complexities of these new definitions, the shift is toward a less definitive goal of moving forward. The principles of AI, as understood today, suggest a path toward the moon, as popularized by the fictitious Book "Who Moved My Cheese?" This metaphor highlights the sensitivity of goals to the criteria under consideration, even if the implications are similar to the moon健身。
In conclusion, understanding the precise nature of AGI is fundamental to achieving the ambitious goal of AGI. The current excitement about AGI may stem from a perceived higher endpoint, but the uncertainty in its achievement makes targeting it too definitive. By acknowledging the ambiguity, one can approach the pursuit of AGI more asynchronously or with other tools.
