"A computer would deserve to be called intelligent if it could deceive a human into believing that it was human."

ChatGPT doesn’t “think”—it looks at a question and tries to guess the next word based on what it learned from reading lots of text.

1. How ChatGPT Answers Questions

ChatGPT doesn’t always give the same answer. It chooses words based on what’s most likely to come next, which sometimes leads to surprising or wrong answers.

6. How ChatGPT Uses Probability

"Knowing is not understanding. There is a great difference between knowing and understanding."

In the future, AI like ChatGPT might help create new things—like writing stories or making art. But it still needs humans to guide it.

8. AI and Creativity

The more text ChatGPT reads during its training, the better it gets at writing responses. It uses this huge amount of data to sound more human-like.

3. Why More Data Makes ChatGPT Smarter

ChatGPT uses a system called neural networks. It learns by finding patterns in the text it was trained on, which helps it create useful answers.

2. Neural Networks: How ChatGPT Learns

"The more that you read, the more things you will know."

"Technology is a useful servant but a dangerous master."

Wolfram points out that AI can sometimes be unfair or give wrong information. We need to be careful about how we use it in the real world.

9. Ethical Challenges with AI

"Learning never exhausts the mind."

"The art and science of asking questions is the source of all knowledge."

"In mathematics, you don't understand things. You just get used to them."

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"It is not enough to have a good mind; the main thing is to use it well."

ChatGPT uses a special method called “transformers.” This helps it focus on important words in a sentence, making its answers better.

4. Transformers: A Key Part of ChatGPT

Even though ChatGPT seems smart, it doesn’t truly understand what it’s saying. It’s just guessing what words should come next.

5. ChatGPT Doesn't Really Understand

ChatGPT has limits. It can’t think or check if something is true. Sometimes it gives wrong or biased answers because it doesn’t really know anything.

7. The Limits of ChatGPT

"The best way to predict the future is to create it."

How AI Like ChatGPT Reads Your Mind? Read this post till the end to find out!

Nobody expected this—not even its creators: ChatGPT has burst onto the scene as an AI capable of writing at a convincingly human level. But how does it really work? What's going on inside its "AI mind"? In this short book, prominent scientist and computation pioneer Stephen Wolfram provides a readable and engaging explanation that draws on his decades-long unique experience at the frontiers of science and technology. Find out how the success of ChatGPT brings together the latest neural net technology with foundational questions about language and human thought posed by Aristotle more than two thousand years ago.

2. Neural Networks: How ChatGPT Learns

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