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

Artificial General Intelligence (AGI) is distinguished by its human-level intelligence and ability to generalize across a wide range of tasks, much like a human would. Unlike narrow AI, which is designed and trained to perform specific tasks—such as image recognition, language translation, or game playing—AGI has the potential to understand, learn, and apply knowledge in various contexts without being limited to predefined parameters.

The core characteristic of AGI is its strong generalization capability, enabling it to transfer knowledge and skills from one domain to another. This includes problem-solving, reasoning, and adaptability in unfamiliar situations, reflecting the human ability to learn from experience and apply that knowledge creatively.

This capacity for broader application and understanding differentiates AGI from narrow AI, which operates within confined boundaries and lacks the flexibility and depth of reasoning that human-level intelligence possesses. AGI is still a theoretical framework, and its full development is a topic of ongoing research and debate within the field of artificial intelligence.