Instead, I am trained on a massive dataset of text and code. When you ask me a question, I use this training data to generate a response that is most relevant and informative.
If you ask me "Why?", I might provide a definition because:
* You're asking me to explain something: Perhaps you're asking for the reason behind a particular event or phenomenon.
* The definition is the most relevant information: Sometimes, providing a definition is the best way to answer your question. For example, if you ask "Why is the sky blue?", a definition of Rayleigh scattering might be the most appropriate response.
I am always learning and improving, and my responses are based on the information I have been trained on.