Which feature distinguishes General AI from Narrow AI?

General AI, also known as Artificial General Intelligence (AGI), is characterized by its ability to understand, learn, and apply knowledge across a wide variety of domains, much like a human. This capacity to generalize knowledge allows General AI to not only perform tasks in specific contexts but also to adapt and transfer its learning to new, unfamiliar situations.

In contrast, Narrow AI is designed for specific tasks and operates within a limited context, often excelling at the particular function it was programmed for but lacking the ability to transfer its capabilities beyond those defined parameters. Therefore, the ability to generalize knowledge across various domains clearly distinguishes General AI from Narrow AI, highlighting why this option is the correct answer.

Other features mentioned, such as performing well-defined tasks only or relying solely on past human input, pertain to the limitations of Narrow AI rather than showcasing the unique advantages of General AI. Similarly, a lack of adaptability in learning is characteristic of Narrow AI, which further emphasizes the flexibility and versatility that General AI possesses.