Strong AI makes strong claims that computers can be made to think on a level equal to humans while weak AI simply predicts that some features that are resembling to human intelligence can be incorporated to computer to make it more useful tools.

Sure, here’s an explanation on the difference between strong AI and weak AI:

Strong AI (Artificial General Intelligence – AGI):
- Strong AI refers to the hypothetical AI that exhibits general intelligence, similar to human intelligence. It can understand, learn, and apply knowledge in a broad range of tasks, just like a human being.
- Strong AI aims to simulate human cognitive abilities, including reasoning, learning, perception, problem-solving, and creativity, across diverse domains.
- This form of AI would be capable of self-awareness, consciousness, and understanding its environment in a manner akin to humans.
- Strong AI is more of a theoretical concept and has not yet been achieved, although it remains a long-term goal of AI research.
Weak AI (Narrow AI):
- Weak AI, also known as narrow AI, refers to AI systems that are designed and trained for a specific task or a narrow range of tasks.
- Unlike strong AI, weak AI systems do not possess general intelligence. Instead, they excel at performing predefined tasks within a limited domain.
- Examples of weak AI include virtual personal assistants like Siri or Alexa, recommendation systems like those used by Netflix or Amazon, and autonomous vehicles.
- Weak AI systems rely on predefined algorithms, data, and training to perform tasks efficiently but lack the ability to generalize their knowledge to other domains or tasks.

In summary, the main difference lies in the scope of intelligence and capabilities. Strong AI aims to replicate human-like general intelligence, while weak AI focuses on specific tasks or domains.