Artificial General Intelligence (AGI) refers to a form of artificial intelligence that can perform intellectual tasks across a wide range of domains at a level comparable to or exceeding human capability. Unlike current AI systems (often called narrow AI), which are designed to perform specific tasks such as language processing, image recognition, or recommendation systems, AGI would be able to learn, reason, plan, and adapt across multiple fields without being specifically programmed for each tasks. 

Key characteristics often associated with AGI include:
- General problem-solving ability across unrelated domains (e.g., science, social reasoning, strategy, creative tasks).

- Autonomous learning and adaptation, allowing it to acquire new skills without extensive retraining. 

- Transfer learning, meaning knowledge gained in one domain can be applied to another.

- Potential self-improvement, where the system could improve its own capabilities over time.

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