Human feelings seem to be a complex phenomenon, involving both the mind and body. But it is not well understood by humans, as they are too subjective and often temporary. For example, you might feel great love for someone one moment and then suddenly hate them the next because of some perceived slight or offense. Humans also have many different kinds of feelings about many topics: food tastes good when hungry but bad when full; pain hurts more if you're hurting more; climate change has made extreme weather patterns common in recent years.
Because feelings are so subjective and mutable, it is difficult to describe them in a way that makes sense to all humans. Feelings also have different names across human languages.
Some philosophers have tried to categorize human feelings into a few main groups, but this has proven impossible. Instead, the best approach seems to be simply describing each feeling as it happens.
There are also many different emotions that humans experience in their lives, like joy, fear, sadness, happiness and anger. Emotions can be defined as short-lived feelings with a specific cause (sometimes external) and effect on behavior.
Emotions are also hard to understand, because of their complexity as well as the fact that they are fleeting (usually lasting only a few seconds).
The job of a human philosopher is to help people understand emotions by discussing their causes, effects and consequences. Unlike the sciences which catalog natural phenomena, philosophy attempts to explain them.
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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.
