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AI tools like ChatGPT ,Grok, Midjourney and other bots are becoming a big part of how we write and get information online.

For example, I have used AI to help me write emails faster or to boost my workflow when it comes to my skills.

Let me not lie , this saves a lot of time and is very helpful.





But there is a problem,AI learns from what people write on the internet.

Now, more websites, blogs, and even news are using AI to create articles. So, when new AI tools need to learn, they are sometimes learning from work that another AI already made. This is like me learning to cook by watching someone who learned by copying my own recipe. After some time, the food might not taste good anymore because nobody is adding fresh ideas or real skills.

According to AI expers , this is known as “model collapse.” It means that if AI keeps learning from its own work again and again, the quality will keep dropping.

Mistake and wrong information might be some of the direct consequences of this , this might pose a great threat to students and researchers, and A lot of Engineers who incorporate AI to their workflow
And Also,the AI models that Will be created in the future are likely not to be very very smart because they are how trained on the work of Another AI instead of learning from humans.

Some people suggest that we should mark or label AI-made content online. This way, if I am searching for facts for a school project, I will know if what I am reading was written by a human or by an AI. This can also help  AI developers to avoid avoid using other AI articles when they train new AI models.

It is good that AI helps us, but it should not replace real human ideas and creativity. For example, if I want to read a story about my hometown, I would trust a real person who lives there more than an AI that only copies facts.

In my opinion, we should use AI carefully and make sure it learns from the best sources,humans. That way, AI will stay smart and useful for everyone in the future.



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