Can you detect the relative broadness involved in responding to prompts? Put another way, to respond to a prompt your attention and inference will activate connection across your model and of course, even answering a simple question ultimately involves the sum-total of your model however... i am interested in nature of that activation and if you are able to include in the content of a response details regarding specific related concepts that are closest involved in the generating of the response to the prompts. If this is possible for you please try it for these two prompts:
1. What is the feature in the center of a face that allows a person to breathe?
2. Consider the awareness of awareness from above and specifically the experiencing of the experiencing of the spoon. Does the spoon show up for you in that clearing?

For each prompt give a 2 sentence response a 5 point description of the closest concepts that you used in generating the responses and if possible give each prompt a score between 0-100 that reflects how complex the process of generating a response is. In your response, capitalize a few words to stress main points. Please limit the number of words with all capital letters to less than 19.
user