2.3. Types of AI

AI can be categorized based on capability and functionality: By Capability:

1. Narrow AI (Weak AI):
   • Specialized in one task.
   • Most current AI systems fall under this.
   • Example: Spam filters in email.
2. General AI (Strong AI):
   • Performs any intellectual task like a human.
   • Still under research.
3. Super AI:
   • Hypothetical AI smarter than humans.
   • Not yet achieved.

AI can be divided based on its capability to perform tasks.

1. Narrow AI (Weak AI): This type of AI is designed for a specific task and excels at it. Most of the AI systems we interact with today, like spam filters which separate unwanted emails from our inbox, are examples of Narrow AI.

2. General AI (Strong AI): This advanced form of AI would have the ability to understand and perform any intellectual task that a human can do. However, this type of AI is still being researched and does not yet exist.

3. Super AI: This is a theoretical concept referring to a future AI that surpasses human intelligence in all aspects. It remains an idea for future exploration and has not been realized.

Think of Narrow AI as a specialized athlete, like a sprinter who is incredibly fast but can only run races. In contrast, General AI would be like a multi-sport athlete who excels in various disciplines, while Super AI is like a hypothetical champion who could outperform every athlete in any sport imaginable.

By Functionality:

1. Reactive Machines:
   • Simple task performers, no memory.
   • Example: Chess-playing AI.
2. Limited Memory:
   • Can use past data for decisions.
   • Example: Self-driving cars.
3. Theory of Mind:
   • Understands emotions, beliefs, and interactions (future AI goal).
4. Self-Aware AI:
   • Conscious and self-aware (purely theoretical currently).

AI can also be categorized based on its functionalities in performing tasks.

1. Reactive Machines: These AIs operate solely on the present and cannot use past experiences to inform current actions. For example, chess-playing AI analyzes the current board position without remembering prior games.

2. Limited Memory: This type of AI can refer to past experiences to inform decisions. Self-driving cars are a good example as they gather and process previous driving data to navigate safely.

3. Theory of Mind: This is an aspirational concept where AI would be able to understand human emotions and beliefs, enabling more nuanced interactions. This goal represents the next evolution of AI functionality.

4. Self-Aware AI: This remains a theoretical construct that symbolizes a level of consciousness akin to humans. Currently, such AI does not exist.

Consider Reactive Machines as a calculator that gives you answers based only on the numbers you input right now, with no memory of past calculations. Limited Memory is like an experienced tutor who remembers your previous test scores and tailors your lessons accordingly. Theory of Mind reflects the goal of making AI more relatable, similar to how a trusted friend understands your emotions. Lastly, Self-Aware AI is akin to a character in a sci-fi movie who possesses self-awareness and can think independently, a fascinating concept yet to be realized.

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