How Does Current AI Models have 3 Unfixable Problems Work?

Current AI models are like super smart kids who can answer questions, but they have 3 big problems that make them not perfect, and these problems can’t be fixed easily.

Imagine you give a super smart kid a book full of answers, and then ask them questions about anything in the world. They can look up the answers fast, and even make new ones when needed. That’s like how AI models work, they’ve been trained on lots of information so they can answer your questions.

The 3 Big Problems

  1. They don’t know everything, It’s like if the kid only had a book about animals, but you asked them about space. They’d say, “I don’t know that,” even though they're smart.
  2. They sometimes guess wrong, If the question is a bit unclear, they might give an answer that sounds good but isn’t right, like thinking a cat is a dog just because both are pets.
  3. They get confused if you ask too many questions in a row, It’s like asking the kid 100 questions without letting them rest; eventually, they’ll start giving silly answers or even forget what they were talking about.

These problems make AI models very helpful but not perfect, just like our smart kids!

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Examples

  1. A child learns to add numbers but can’t understand multiplication or division.
  2. A robot is good at sorting letters but gets confused when it has to guess the meaning of a word.
  3. A smart speaker answers questions correctly but loses track after talking about several different topics.

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