Anup Chouhan's Key Ideas from What Is ChatGPT Doing
by Stephen Wolfram

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.

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.

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

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

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.

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.

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.

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.

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