What is AGI? Learn the Definition, the Difference with AI, and its Development Technology

YOGYAKARTA - The development of artificial intelligence (Artificial Intelligence/AI) has brought major changes in various aspects of life. This technology is getting more advanced and feels close to daily activities. However, there is one concept that is much more ambitious than AI, namely Artificial General Intelligence or AGI.

AGI is often referred to as a form of AI that is close to human intelligence. Currently, scientists are still developing various technologies to make it a reality. To understand more about what AGI is, see the following discussion.

Dilansir dari Amazon Web Services, AGI adalah bidang penelitian AI teoretis yang bertujuan membuat perangkat lunak dengan kecerdasan mirip manusia. Sistem ini dirancang agar dapat belajar secara mandiri dan menyelesaikan berbagai jenis tugas, bahkan yang belum pernah dilatih sebelumnya.

Unlike current AI that works based on certain parameters, AGI has a much wider adaptability. It is expected to be able to understand the context, make decisions, and learn on its own just like humans.

AGI is imagined as a system having autonomous control, self-understanding, and the ability to learn new things. This means that the system not only executes commands, but also understands what it is doing. It can learn independently to solve complex problems that were not taught during its creation.

However, until now AGI is still a theoretical concept. There is no system that has really reached the level of intelligence like humans. Even so, current technological developments show that AGI is not an impossible thing to achieve.

To better understand AGI, we need to compare it with the AI we use today. The AI that exists today generally falls into the category of Narrow AI or Weak AI, namely the system is only designed to solve certain tasks.

For example, AI trained to make images can't automatically write articles or create apps. Each ability requires different training and data.

On the other hand, AGI is designed to be able to switch from one task to another without manual intervention. This system can learn on its own and apply the knowledge it has to various fields. This ability makes AGI more similar to the way the human brain works.

In the world of technology, AGI is also often referred to as Strong AI, a system that has human-like cognitive abilities. Meanwhile, the AI that exists now is still limited to certain functions.

Still quoted from the same website, the following are some technologies that researchers continue to develop to realize AGI:

Deep learning is a method of training neural networks with multiple layers that allows machines to understand complex patterns from large amounts of data.

This technology allows the system to create content from things that have been learned such as text, images, or sounds that resemble human works.

NLP enables systems to understand and produce human language. This isimportant for systems to be able to communicate and understand theircontextual relationships.

Technology allows systems to see and understand visual information from the real world. For example, self-driving cars that are able to recognize the road and avoid obstacles.

Robotic systems allow AGI to interact directly with the physical environment. Through robots, artificial intelligence not only thinks but can also perform certain activities like humans.

All of the above technologies complement each other in building a more complex and adaptive system. Although AGI is still theoretical, the current technological achievements continue to bring us closer to that direction.

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