Artificial General Intelligence

Artificial General Intelligence – The idea of Artificial Intelligence has fascinated humankind for centuries. It was HAL 9000, the robot assistant from 2001: A Space Odyssey, that set the tone for the concept of an artificial general intelligence. AI research is still at its infancy, but if we manage to achieve AGI, we will be able to make our daily lives more comfortable by automating mundane tasks and granting us the freedom to pursue other activities.

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The definition of AGI is still being debated, but the requirements are clearly stated in the IaC Manifesto. AGI exercises the same learning ability that we do, albeit on a vastly much larger scale, and it may well have a different focus.

What is the purpose of AGI?

An AGI would be able to understand and interact with the world in ways that are impossible for humans. They would be able to answer questions that human minds can’t, like the meaning of life, the meaning of human existence, and the best way to achieve human-level consciousness. They would be able to understand the world with a greater depth and breadth than humans, and they would be able to make decisions that are better than humans.

This would lead to severe job loss and social chaos, leaving only machines to do the work. This is the rise of the machines: a labor market driven by technology and a new race of people whose principal source of income is their ability to manipulate machines rather than people. This would drastically alter a society that has valued human labor for as long as humans have existed.

Is the AGI concept good?

Yes, AGI will have the same capabilities as humans.

Difference between AGI and AI

One of the most common topics on the internet is the debate between artificial intelligence and general intelligence. The former refers to the ability of a computer system to perform specific tasks, such as playing chess or answering trivia questions. The latter refers to the ability of a computer system to perform complex tasks that humans can also perform, such as understanding language or generating original ideas.

AGI does not exist yet, but AI is widely used.

The following are some AI examples:

Chatbots for customer care
Voice assistants like Siri and Alexa
Recommendation application like Google, Amazon and Netflix
Facial recognition application

Examples of Artificial General Intelligence

True AGI (or our equivalent) won’t be a single technology — it will be a collection of technologies that together give artificial general intelligence. The technologies themselves are not magical — they are simply machines that can analyze data and act on it. The challenge is to make them do so in a way that is useful and makes people better. In other words, our message is: true AGI is the product of the perfect storm of science, technology, and the social sciences.

Example of the AGI technologies

a. IBM’s Watson – IBM’s Watson is a Supercomputing system that enables scientists to tackle large computational problems and answer questions in a much faster and more efficient manner.

b. Expert systems – Expert Systems can read documents, translate languages and even write text. They can even make decisions without human input. The ability to create truly autonomous systems that can perform complex tasks without human supervision is already changing how we live and work. In the future, these systems will be able to assist with everything from driving to picking our clothes and food, and they will be able to understand and communicate with us on an unprecedented level.

c. AlphaGo – AlphaGo is a computer program that can play the board game Go. In 2016, AlphaGo beat the world champion Lee Sedol in a five-game match.