Mr. Goldstein: Created page with "=== '''10.1 Introduction to AI''' === When we talk about Artificial Intelligence, it's helpful to understand that there are different levels of "smartness" we're trying to achieve in machines. ==== '''10.1.1 Strong AI vs. Weak AI''' ==== When scientists and engineers talk about AI, they often divide it into two main types: * Weak AI (or Narrow AI): ** What it is: This is the kind of AI we have today and use every day. Weak AI is designed and trained for a very specifi..."

2025-07-08T14:29:08Z

Created page with "=== '''10.1 Introduction to AI''' === When we talk about Artificial Intelligence, it's helpful to understand that there are different levels of "smartness" we're trying to achieve in machines. ==== '''10.1.1 Strong AI vs. Weak AI''' ==== When scientists and engineers talk about AI, they often divide it into two main types: * Weak AI (or Narrow AI): ** What it is: This is the kind of AI we have today and use every day. Weak AI is designed and trained for a very specifi..."

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=== '''10.1 Introduction to AI''' ===
When we talk about Artificial Intelligence, it's helpful to understand that there are different levels of "smartness" we're trying to achieve in machines.

==== '''10.1.1 Strong AI vs. Weak AI''' ====
When scientists and engineers talk about AI, they often divide it into two main types:

* Weak AI (or Narrow AI):
** What it is: This is the kind of AI we have today and use every day. Weak AI is designed and trained for a very specific task. It's super good at that one job, but it can't do anything else.
** How it works: It uses smart algorithms and lots of data to perform its specific task. It doesn't truly "understand" or "think" like a human; it just follows complex rules and patterns it has learned.
** Examples:
*** Voice assistants like Siri or Google Assistant (they understand your voice commands, but they don't have feelings or general knowledge about everything).
*** Recommendation systems on Netflix or YouTube (they suggest movies you might like based on what you've watched, but they don't understand the movie's plot like you do).
*** Self-driving cars (they are trained to drive, but they can't suddenly decide to write a poem).
*** Spam filters in your email (they identify junk mail, but can't do anything else).
** Why it's called "Weak": Not because it's bad, but because its intelligence is limited to a narrow area.
* Strong AI (or General AI / Artificial General Intelligence - AGI):
** What it is: This is the kind of AI that can understand, learn, and apply intelligence to ''any'' intellectual task that a human being can. It would have consciousness, feelings, and the ability to reason, solve problems, and learn across many different areas, just like a human brain.
** How it works: This type of AI doesn't exist yet! Scientists are still working on how to create it. It would require computers to truly understand the world, not just process data.
** Examples (from science fiction):
*** Robots that can learn any skill, have conversations about anything, and even experience emotions.
*** A computer that can become a brilliant scientist, artist, or philosopher.
** Why it's called "Strong": Because its intelligence would be as broad and flexible as human intelligence.

Right now, all the amazing AI you see around you is Weak AI. Strong AI is still a goal for the future.

Bibliography:

* IBM - What is Artificial Intelligence (AI)?: https://www.ibm.com/cloud/learn/what-is-artificial-intelligence
* GeeksforGeeks - Types of Artificial Intelligence: https://www.geeksforgeeks.org/artificial-intelligence/artificial-intelligence/
* Wikipedia - Artificial intelligence: https://en.wikipedia.org/wiki/Artificial_intelligence

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