Three Types of AI
Not all AI is created equal. Researchers generally categorize AI into three types based on capability. Understanding these categories helps you grasp where we currently are — and where we might be heading.
Narrow AI (Weak AI)
Narrow AI is AI that is designed and trained for one specific task. It's the only type of AI that exists today. Every AI system you've ever used — Siri, Google Search, recommendation engines, facial recognition — is Narrow AI.
These systems are incredibly powerful within their domain, but they can't do anything outside of it. Your chess-playing AI can't drive a car. Your voice assistant can't diagnose diseases. They're specialists, not generalists.
┌─────────────────────────────┐
│ NARROW AI │
│ │
│ Task: Play Chess │
│ ┌───────────────────────┐ │
│ │ Input: Board State │ │
│ │ Output: Best Move │ │
│ └───────────────────────┘ │
│ │
│ Can it drive a car? NO │
│ Can it translate? NO │
│ Can it only play chess? YES│
└─────────────────────────────┘
General AI (Strong AI)
General AI — also called Artificial General Intelligence (AGI) — would be a machine that can perform any intellectual task a human can. It would have the ability to learn, reason, and apply knowledge across a wide range of domains, just like a human.
AGI doesn't exist yet. It remains one of the biggest goals — and debates — in AI research. Some experts think we'll achieve it in decades; others think it may take centuries or might not be possible at all.
Super AI (Artificial Superintelligence)
Super AI is the hypothetical stage where machines surpass human intelligence in every way — creativity, problem-solving, social skills, everything. This is purely theoretical and is the subject of much philosophical and ethical debate.
Capability Spectrum:
Narrow AI General AI Super AI
─────●────────────────────○────────────────────○─────
(Exists today) (Theoretical) (Hypothetical)
Plays chess Does everything Surpasses humans
Drives a car a human can in every way
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Why This Matters for You
When people talk about AI today, they almost always mean Narrow AI. When you build ML models in this course, you'll be building Narrow AI systems. Understanding the distinction helps set realistic expectations — your model won't become sentient, but it can become incredibly good at its specific task.