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AI can finetune our research if we can challenge it constantly

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By deepak · September 2, 2026 · 3 min read

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If the AI realizes that the user is challenging what it says, the neural network path changes towards more advanced thinking. When the users’ responses defeat or revise the AI’s thought, subsequent responses become more cautious. This leads to a more refined output from the AI tool. 
| Photo Credit: Getty Images/istockphoto

Each one of us has questions throughout our life. And we know the answers to only a few. Efforts of varying degrees go into getting the answer. We can ask our parents, teachers, friends, a book, an article, the internet or an expert who helps us find the answer. The process takes time, which means many failed attempts and a lot of reflections. But since 2023, we have a new answering tool that knows it all- Artificial Intelligence. And this tool has become much smarter with lesser mistakes in 2026.

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“The unexamined life is not worth living”, the words supposedly uttered by Socrates, who was forced out of the world for just questioning, need a revival today. Repeated questioning and critical thinking have been the foundation of human intelligence for over 2,000 years. What if we encounter a situation when questioning itself becomes a huge effort for humans.  

Let us take a scenario where a student shares a part of his lesson with the AI tool and asks it to explain it in an easy-to-understand way. This is a type of human-AI communication that we can call source-based use of artificial intelligence. In such interactions, any question asked by the student is answered by the AI tool considering the content given in the source. These answers can be easily verified with a teacher or a related reference book. The good thing is that such source-dependent use of AI, coupled with a prompt to the tool instructing it not to self-imagine (hallucinate), gives accurate response most of the time. 

Source: Read the original article on www.thehindu.com

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