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One of the goals of AGI is to create an AI that can understand and perform tasks across various domains without human intervention. It would have the ability to generalize knowledge from one area to solve problems in another, much like how humans can.

The main difference between AGI and the AI we use today (narrow AI) is flexibility. Current AI systems are great at specific tasks, like recognizing faces or playing chess, but AGI would be able to handle a much broader range of activities without needing to be retrained.

AGI aims to replicate the broad intellectual capabilities of humans, allowing it to reason, plan, solve problems, think abstractly, comprehend complex ideas, learn quickly, and learn from experience. Just like humans, AGI can learn from errors , fix it and make it better