Amazing stages of AI - from chatbots to singularity

Artificial intelligence stages :

    Artificial Intelligence field is one of the fast growing industry in modern days which most of fields like accounting, Text generation, healthcare, etc., using AI for their development

      Artificial Intelligence (AI) development has progressed through many stages. There are so many AI designed for specific tasks like voice recognition or image processing. The stages of AI are dependent on their intelligence and capabilities.

Rule-based AI system :

      It represents the initial stage of Artificial intelligence, which works based on pre-defined set of rules or an algorithm written by programmers, Rule-based AI systems operate on a set of They follow explicit instructions to make decisions or take actions, making them suitable for specific, well-defined tasks. While effective in certain domains, they may struggle with complexity or adaptability compared to more advanced AI approaches.

• Rule-based Chatbots:

     These use predefined rules to understand and respond to user queries, providing structured interactions.

• Game AI: 

      In gaming, rule-based systems are employed to control non-player characters (NPCs) or simulate complex behaviors.

Artificial Narrow Intelligence (ANI) :

      Artificial Narrow Intelligence refers to AI systems that are designed and trained for a specific task or a narrow set of tasks. These systems excel in their predefined domains but lack the broad cognitive abilities seen in humans. Examples include virtual assistants, image recognition software, and certain chatbots. Artificial narrow Intelligence is a single task specific that it can perform a particular action on a specific domain.Best examples for this are :

• Virtual Personal Assistants: 

      Siri, Google Assistant, and Alexa are designed for specific tasks like answering questions, setting reminders, or controlling smart devices.

• Recommendation Systems: 

      Netflix or Amazon's product recommendations are based on algorithms that analyze user behavior within a particular domain.

Artificial General Intelligence (AGI) :

      Artificial General Intelligence is a form of artificial intelligence that have the ability to understand, learn, and apply knowledge across a broad range of tasks essentially, having human-like cognitive abilities. Unlike narrow AI systems, which are specialized in specific domains, Artificial general Intelligence aims to achieve a level of intelligence and adaptability comparable to that of humans. Unlike ANI this AI systems don’t follow rules or any context, they try to mimic human thinking capabilities.

Artificial Super Intelligence (ASI) :

        Artificial Super intelligence (ASI) refers to a theoretical level of artificial intelligence that surpasses not only human intelligence but also the most brilliant minds across all intellectual and creative activities. If ASI achieved, it would coming up with solutions for complex problems and climate changes which will help humans to achieve next level of life. It also comes with some major issues like ethical questions and the potential for misuse is enormal which would lead to a disaster.

The AI singularity :

       AI singularity is a hypothetical idea where artificial intelligence is more intelligent than humans. If machines are smarter than people, a new level of intelligence will be reached that humans can’t achieve. AI Experts believe that AI can improve itself repeatedly at some point, leading to rapid technological advances that will be impossible for humans to control. Events like this are expected to cause significant changes in society, government and economy.
       This type of AI see us like how we see an ant. So we can't say that this would be an boon to humans or it will be a dooms day for the mankind.