Demystifying AI: Weak vs. Strong vs. Superintelligence
Artificial intelligence (AI) is a rapidly evolving field, and the terminology can be confusing even for those following it closely. This article clarifies the key differences between three major categories of AI: weak (narrow), strong (general), and superintelligence.
1. Weak AI (Narrow AI)
Weak artificial intelligence, also known as narrow AI, is designed to perform specific tasks. It’s trained to accomplish a particular task intelligently. This type of AI can learn and improve within its area of specialization, but it cannot apply its knowledge to entirely new situations that it hasn’t been trained for.
This type of narrow AI is common today in intelligent chatbots, self-driving programs, and programs that excel at chess.
2. Strong AI(General AI or AGI):
Strong artificial intelligence (also known as Artificial General Intelligence or AGI) represents the desired future of AI. It aims to achieve human-level or even superhuman intelligence, unlike weak AI which excels at specific tasks. Strong AI would possess a broad range of cognitive abilities, enabling it to think, learn, solve problems, and adapt to new situations just like a human being. Its work wouldn’t be limited to specific tasks it’s been trained on.
