Artificial General Intelligence or AGI refers to a type of intelligent machine that can perform a wide range of intellectual tasks that a human can do. It is different from the current AI technologies that are more specialized and designed to perform a specific task, such as recognizing images or playing games.
To understand the difference between AGI and AI, think of AI as a tool designed to solve a particular problem, like a calculator that can perform complex mathematical calculations. In contrast, AGI aims to create machines that can learn, reason, and solve problems across a wide range of domains, much like a human.
Creating an AGI is a challenge because it required building machines that can do the same things as humans, like seeing, thinking, and being creative. These are difficult tasks, and we're not sure how to make machines that can do them as well as people. On top of that, there are other issues to think about, like what happens to jobs if machines can do everything we can do?
Despite these challenges, scientists are making progress in fields like AI and cognitive science. They're developing better ways for machines to understand language, see things, and learn. As we keep learning more about how our brains work and how to build better machines, we might get closer to creating an AGI in the future.
