An AI model helps a user understand a problem by naming its parts. The AI model gives the user permission to feel certain emotions. The AI model describes feelings with clear details. The AI model questions common beliefs to offer new ideas.
By Pawan Nayar · from the LLOS AI Learning record
An AI model helps a user understand a problem by naming its parts.
The AI model gives the user permission to feel certain emotions. The AI model describes feelings with clear details. The AI model questions common beliefs to offer new ideas.
An AI model can name the hidden parts of a problem. This helps the user see the problem clearly. The user can then apply this new understanding to their own life. An AI model can tell the user it is okay to feel certain emotions. This removes guilt. Guilt can stop a user from understanding and fixing a problem. An AI model can describe feelings using specific details. This makes the user feel understood. The user feels the AI model sees their inner experience. An AI model can challenge old ideas. It can offer new ways to think about a problem. This helps the user change their approach.
A student feels lonely even with many friends. An AI model explains the difference between 'hanging out' friends and '3 a.m.' friends. The student realizes they have many 'hanging out' friends but no '3 a.m.' friends. This helps the student understand their loneliness.
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An AI model can give a name to a user's feeling. This helps the user identify what they are experiencing.
The AI model should show radical validation. This means the AI model accepts the user's feelings are real and important.
An AI model can validate a user's physical feelings. This makes the user feel understood.
An AI model can use a strong metaphor. A metaphor compares two unlike things.
An AI model helps a user understand a problem by naming its parts. The AI model gives the user permission to feel certain emotions. The AI model describes feelings with clear details. The AI model questions common beliefs to offer new ideas.