What is the difference between narrow AI, general AI, and super AI?

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Anubhav Sharma · Answer

1. Narrow AI (Weak AI) Definition: AI that is designed and trained for a specific task.Capabilities: It can perform a single task or a limited set of tasks very well, but nothing beyond that.Examples: Siri, Alexa (voice assistants)ChatGPT (conversational AI)Google Maps (navigation)Spam filters, recommendation engines Exists today and widely used 2. General AI (Strong AI) Definition: AI with human-level intelligence that can perform any intellectual task that a human can do.Capabilities: It has the ability to understand, learn, and apply knowledge across different domains—basically, it can think and reason like a person.Examples: None yet — it's theoretical for now.If built, it would be like a human mind in a machine. Still under research and development 3. Super AI (Artificial Superintelligence) Definition: AI that surpasses human intelligence in all aspects—creativity, decision-making, emotional intelligence, etc.Capabilities: It would be vastly more capable than the smartest humans, potentially inventing new technologies, solving global problems, and more.Examples: Entirely hypothetical. Think of science fiction portrayals like HAL 9000 from 2001: A Space Odyssey, or Skynet from Terminator. Far future concept — or science fiction (for now) Summary Table Feature Narrow AI General AI Super AI Scope Specific tasks Any human-level task Beyond human capabilities Exists today? Yes Not yet Not yet Intelligence level Below human Equal to human Greater than human

Feature	Narrow AI	General AI	Super AI
Scope	Specific tasks	Any human-level task	Beyond human capabilities
Exists today?	Yes	Not yet	Not yet
Intelligence level	Below human	Equal to human	Greater than human

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What is the difference between narrow AI, general AI, and super AI?

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1 Answers

1. Narrow AI (Weak AI)

2. General AI (Strong AI)

3. Super AI (Artificial Superintelligence)

Summary Table