What is the Difference Between AGI and AI?

The advent of Artificial Intelligence (AI) has revolutionized the world of computer science. We are now seeing AI integrated into various aspects of our lives, from autonomous cars to automated customer-service chatbots. But with the recent rise of a new form of AI, namely AGI (Artificial General Intelligence), where does this new technology fit in?

To answer this question, it is essential to differentiate between AI and AGI. AI refers to a computer system’s ability to perform tasks based on data that it receives. While this can produce quite remarkable results, it is still limited by the scope of the data it is given. AGI, on the other hand, has the potential to be more adaptive and independent. That is, AI systems may be able to tackle new problems given a specific set of data, but AGI could develop the capacity to find new sets of data and solve complex tasks.

As Dr. Subbaramán Ramamurthy, a Senior AI Expert at Xobot remark, “The difference between AGI and AI boils down to autonomy. AI is an automation of content curation, while AGI is an autonomous AI-powered decision making process. AGI can not only automate pre-defined problems but also come up with new solutions as it develops.”

AGI could present a wide range of benefits in comparison to AI. As AI relies on data that is provided by its user, it is unlikely to develop insights or come up with creative solutions to problems. However, the autonomy of AGI systems has the potential to be more responsive and reactive to changing terrain. For example, an AGI-powered robot may be able to assess a wide selection of potential approaches to a task, whereas AI is restricted by data that it has been given.

In addition to this, AGI can delve more deeply into data sets and could be used in a range of different fields from finance to healthcare. This increased level of analysis could be invaluable for modern businesses, allowing them to run more accurate cost and market analysis.

Ultimately, AGI has the potential to revolutionize the world of Artificial Intelligence and help us to take the next step in the evolution of computer science. While it is still in its infancy, it is a technology worth noting – one that could unlock the full potential of AI and push machines towards true autonomy.

Quote source: Dr. Subbaramán Ramamurthy, Xobot