What is the difference between narrow AI and AGI?

Narrow AI, also known as weak AI, refers to artificial intelligence that is designed to perform a specific task or set of tasks, and is limited in its abilities to perform outside of its programmed parameters. For example, a chatbot programmed to respond to customer inquiries about a specific product would not be able to perform tasks outside of this specific use case.

On the other hand, AGI, or artificial general intelligence, refers to an AI system that can perform any intellectual task that a human can, and potentially more. Unlike narrow AI, AGI is not limited to a specific task or use case, but instead has the ability to learn and adapt to new situations and tasks. AGI aims to replicate the versatility and adaptability of human intelligence, and can potentially perform a wide range of tasks, from scientific research and medical diagnosis to creative endeavors such as music composition and artistic expression.

The main difference between narrow AI and AGI is the level of adaptability and versatility. While narrow AI is designed to perform a specific task, AGI has the ability to learn and adapt to new situations, and potentially perform any intellectual task that a human can. While narrow AI is already in widespread use in industries such as healthcare, finance, and manufacturing, AGI remains a long-term goal of artificial intelligence research, and its development presents a number of technical and ethical challenges that must be addressed.