It is nature of a curious being to learn, no one is created with perfect knowledge.
The first thing that comes to mind is the definition of "nature", and what it entails. Humans have a tendency to think in terms of black-and-white categories, rather than seeing the fine gradations between them.
Where does attention begin? It can be said that we are born without any idea of the concept, and only through experience do we learn. But if this is true, then it rather begs the question: where did our parents acquire their knowledge?
Our parents are born, yes. But what about their parents? And their parents before them? Where does it end?
So it can be said that attention, in a way, is the process of learning. In this sense, it could also be defined as human nature.
But this begs the question: what exactly is attention? How does it work?
Attention is the process of mental focus. It acts like a lens, and can be thought of as finite in its capacity.
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You are getting an AI to generate text on different topics.
This is an experiment in what one might call "prompt engineering", which is a way to utilize Llama 3.1 405b, a neural network trained by Meta.
Llama is a language model. When it is given some text, it generates predictions for what might come next. It is remarkably good at adapting to different contexts, as defined by a prompt (in this case, hidden), which sets the scene for what type of text will be generated.
Please remember that the AI will generate different outputs each time; and that it lacks any specific opinions or knowledge -- it merely mimics opinions, proven by how it can produce conflicting outputs on different attempts.
Feel free to share interesting outputs to /r/philosopherAI on Reddit.