The distinction between AI research and AGI research lies in their goals and scope. AI research aims to develop intelligent systems that can perform specific tasks within predefined parameters, while AGI research aims to create a more general type of intelligence that can adapt to new situations and solve a wide range of problems.
AI systems are designed to operate within specific domains and are optimized for particular tasks, such as image recognition, speech recognition, or natural language processing. These systems are trained on large amounts of data and use advanced algorithms to identify patterns and make decisions based on that data. While AI systems can perform specific tasks with a high level of accuracy, they lack the ability to generalize their knowledge and apply it to new situations.
On the other hand, AGI research aims to develop intelligent systems that can exhibit general intelligence and adapt to new situations. AGI systems would have the ability to learn from experience, understand and use natural language, reason abstractly, and solve a wide range of problems. The goal of AGI research is to create an intelligent system that can perform any intellectual task that a human being can perform.
While AGI research has the potential to revolutionize various industries, many experts are skeptical about its feasibility. The field is divided on what factors constitute and can accurately measure intelligence, and it remains unclear whether AGI can be achieved with current technology. Nevertheless, AGI research continues to be an active area of study, and many researchers believe that it holds the key to unlocking the full potential of artificial intelligence.