What differentiates Artificial General Intelligence (AGI) from narrow AI?

The distinction between Artificial General Intelligence (AGI) and narrow AI primarily lies in the scope of their capabilities. AGI refers to a level of artificial intelligence that possesses human-like cognitive abilities, enabling it to understand, learn, and apply knowledge across a wide range of tasks and environments, similar to how a human can adapt to different challenges. This intelligence allows AGI to generalize knowledge gained in one context to new and varied situations.

In contrast, narrow AI is designed to perform specific tasks or solve particular problems without the broad cognitive capabilities seen in AGI. Narrow AI systems can excel at certain functions, such as facial recognition, language translation, or playing strategic games, but they operate under predefined parameters and do not exhibit the flexibility or understanding characteristic of human intelligence.

The other options present distinctions that are not accurate representations of the differences between AGI and narrow AI. For instance, AGI is not solely theoretical; it is an aspirational goal in AI research, while narrow AI is very much in practical use today. Additionally, both AGI and narrow AI can learn from data and experiences, although they do so at different levels of complexity and application. Thus, the correct answer highlights the critical difference in intelligence level and capability across diverse tasks, affirm